id sid tid token lemma pos ajst-19175 1 1 academic academic ADJ ajst-19175 1 2 journal journal NOUN ajst-19175 1 3 of of ADP ajst-19175 1 4 science science NOUN ajst-19175 1 5 and and CCONJ ajst-19175 1 6 technology technology NOUN ajst-19175 1 7 issn issn NOUN ajst-19175 1 8 : : PUNCT ajst-19175 1 9 2771 2771 NUM ajst-19175 1 10 - - SYM ajst-19175 1 11 3032 3032 NUM ajst-19175 1 12 | | NOUN ajst-19175 1 13 vol vol NOUN ajst-19175 1 14 . . PROPN ajst-19175 2 1 10 10 NUM ajst-19175 2 2 , , PUNCT ajst-19175 2 3 no no INTJ ajst-19175 2 4 . . NOUN ajst-19175 2 5 1 1 NUM ajst-19175 2 6 , , PUNCT ajst-19175 2 7 2024 2024 NUM ajst-19175 2 8 186 186 NUM ajst-19175 2 9 optimization optimization NOUN ajst-19175 2 10 design design NOUN ajst-19175 2 11 of of ADP ajst-19175 2 12 medium‐voltage medium‐voltage NOUN ajst-19175 2 13 high‐ high‐ NOUN ajst-19175 2 14 frequency frequency NOUN ajst-19175 2 15 transformers transformer NOUN ajst-19175 2 16 based base VERB ajst-19175 2 17 on on ADP ajst-19175 2 18 parallel parallel ADJ ajst-19175 2 19 sampling sample VERB ajst-19175 2 20 kriging krige VERB ajst-19175 2 21 surrogate surrogate ADJ ajst-19175 2 22 model model NOUN ajst-19175 2 23 chengcheng chengcheng PROPN ajst-19175 2 24 yu1 yu1 PROPN ajst-19175 2 25 , , PUNCT ajst-19175 2 26 laijun laijun PROPN ajst-19175 2 27 zhao1 zhao1 X ajst-19175 2 28 , , PUNCT ajst-19175 2 29 2 2 NUM ajst-19175 2 30 , , PUNCT ajst-19175 2 31 * * PUNCT ajst-19175 3 1 1school 1school NUM ajst-19175 3 2 of of ADP ajst-19175 3 3 electrical electrical ADJ ajst-19175 3 4 engineering engineering NOUN ajst-19175 3 5 and and CCONJ ajst-19175 3 6 automation automation NOUN ajst-19175 3 7 , , PUNCT ajst-19175 3 8 henan henan PROPN ajst-19175 3 9 polytechnic polytechnic PROPN ajst-19175 3 10 university university PROPN ajst-19175 3 11 , , PUNCT ajst-19175 3 12 jiaozuo jiaozuo PROPN ajst-19175 3 13 454003 454003 NUM ajst-19175 3 14 , , PUNCT ajst-19175 3 15 china china PROPN ajst-19175 3 16 2henan 2henan NUM ajst-19175 3 17 key key ADJ ajst-19175 3 18 laboratory laboratory NOUN ajst-19175 3 19 of of ADP ajst-19175 3 20 intelligent intelligent ADJ ajst-19175 3 21 detection detection NOUN ajst-19175 3 22 and and CCONJ ajst-19175 3 23 control control NOUN ajst-19175 3 24 of of ADP ajst-19175 3 25 coal coal NOUN ajst-19175 3 26 mine mine NOUN ajst-19175 3 27 equipment equipment NOUN ajst-19175 3 28 , , PUNCT ajst-19175 3 29 jiaozuo jiaozuo PROPN ajst-19175 3 30 454003 454003 NUM ajst-19175 3 31 , , PUNCT ajst-19175 3 32 china china PROPN ajst-19175 3 33 * * PUNCT ajst-19175 3 34 corresponding correspond VERB ajst-19175 3 35 author author NOUN ajst-19175 3 36 : : PUNCT ajst-19175 3 37 zhaolaijun@hpu.edu.cn zhaolaijun@hpu.edu.cn NOUN ajst-19175 3 38 abstract abstract NOUN ajst-19175 3 39 : : PUNCT ajst-19175 3 40 in in ADP ajst-19175 3 41 the the DET ajst-19175 3 42 design design NOUN ajst-19175 3 43 process process NOUN ajst-19175 3 44 of of ADP ajst-19175 3 45 medium medium ADJ ajst-19175 3 46 - - PUNCT ajst-19175 3 47 voltage voltage NOUN ajst-19175 3 48 high high ADJ ajst-19175 3 49 - - PUNCT ajst-19175 3 50 frequency frequency NOUN ajst-19175 3 51 transformers transformer NOUN ajst-19175 3 52 , , PUNCT ajst-19175 3 53 numerical numerical PROPN ajst-19175 3 54 simulation simulation NOUN ajst-19175 3 55 methods method NOUN ajst-19175 3 56 often often ADV ajst-19175 3 57 result result VERB ajst-19175 3 58 in in ADP ajst-19175 3 59 long long ADJ ajst-19175 3 60 design design NOUN ajst-19175 3 61 cycles cycle NOUN ajst-19175 3 62 and and CCONJ ajst-19175 3 63 significant significant ADJ ajst-19175 3 64 computational computational ADJ ajst-19175 3 65 resource resource NOUN ajst-19175 3 66 consumption consumption NOUN ajst-19175 3 67 . . PUNCT ajst-19175 4 1 to to PART ajst-19175 4 2 achieve achieve VERB ajst-19175 4 3 rapid rapid ADJ ajst-19175 4 4 and and CCONJ ajst-19175 4 5 high high ADJ ajst-19175 4 6 - - PUNCT ajst-19175 4 7 precision precision NOUN ajst-19175 4 8 design design NOUN ajst-19175 4 9 for for ADP ajst-19175 4 10 medium medium ADJ ajst-19175 4 11 - - PUNCT ajst-19175 4 12 voltage voltage NOUN ajst-19175 4 13 high high ADJ ajst-19175 4 14 - - PUNCT ajst-19175 4 15 frequency frequency NOUN ajst-19175 4 16 transformers transformer NOUN ajst-19175 4 17 , , PUNCT ajst-19175 4 18 a a DET ajst-19175 4 19 parallel parallel ADJ ajst-19175 4 20 kriging krige VERB ajst-19175 4 21 surrogate surrogate ADJ ajst-19175 4 22 model model NOUN ajst-19175 4 23 is be AUX ajst-19175 4 24 proposed propose VERB ajst-19175 4 25 based base VERB ajst-19175 4 26 on on ADP ajst-19175 4 27 the the DET ajst-19175 4 28 maximum maximum ADJ ajst-19175 4 29 expected expect VERB ajst-19175 4 30 improvement improvement NOUN ajst-19175 4 31 criterion criterion NOUN ajst-19175 4 32 . . PUNCT ajst-19175 5 1 initially initially ADV ajst-19175 5 2 , , PUNCT ajst-19175 5 3 latin latin ADJ ajst-19175 5 4 hypercube hypercube NOUN ajst-19175 5 5 sampling sample VERB ajst-19175 5 6 is be AUX ajst-19175 5 7 employed employ VERB ajst-19175 5 8 to to PART ajst-19175 5 9 establish establish VERB ajst-19175 5 10 the the DET ajst-19175 5 11 initial initial ADJ ajst-19175 5 12 sampling sampling NOUN ajst-19175 5 13 points point NOUN ajst-19175 5 14 , , PUNCT ajst-19175 5 15 and and CCONJ ajst-19175 5 16 corresponding correspond VERB ajst-19175 5 17 three three NUM ajst-19175 5 18 - - PUNCT ajst-19175 5 19 dimensional dimensional ADJ ajst-19175 5 20 models model NOUN ajst-19175 5 21 of of ADP ajst-19175 5 22 medium medium ADJ ajst-19175 5 23 - - PUNCT ajst-19175 5 24 voltage voltage NOUN ajst-19175 5 25 high high ADJ ajst-19175 5 26 - - PUNCT ajst-19175 5 27 frequency frequency NOUN ajst-19175 5 28 transformers transformer NOUN ajst-19175 5 29 are be AUX ajst-19175 5 30 constructed construct VERB ajst-19175 5 31 for for ADP ajst-19175 5 32 each each DET ajst-19175 5 33 sampling sample VERB ajst-19175 5 34 point point NOUN ajst-19175 5 35 configuration configuration NOUN ajst-19175 5 36 . . PUNCT ajst-19175 6 1 finite finite PROPN ajst-19175 6 2 element element PROPN ajst-19175 6 3 simulation simulation PROPN ajst-19175 6 4 software software NOUN ajst-19175 6 5 is be AUX ajst-19175 6 6 then then ADV ajst-19175 6 7 used use VERB ajst-19175 6 8 to to PART ajst-19175 6 9 compute compute VERB ajst-19175 6 10 the the DET ajst-19175 6 11 transformer transformer NOUN ajst-19175 6 12 loss loss NOUN ajst-19175 6 13 and and CCONJ ajst-19175 6 14 volume volume NOUN ajst-19175 6 15 for for ADP ajst-19175 6 16 each each DET ajst-19175 6 17 model model NOUN ajst-19175 6 18 . . PUNCT ajst-19175 7 1 subsequently subsequently ADV ajst-19175 7 2 , , PUNCT ajst-19175 7 3 a a DET ajst-19175 7 4 kriging krige VERB ajst-19175 7 5 surrogate surrogate ADJ ajst-19175 7 6 model model NOUN ajst-19175 7 7 is be AUX ajst-19175 7 8 developed develop VERB ajst-19175 7 9 based base VERB ajst-19175 7 10 on on ADP ajst-19175 7 11 the the DET ajst-19175 7 12 initial initial ADJ ajst-19175 7 13 sampling sampling NOUN ajst-19175 7 14 point point NOUN ajst-19175 7 15 configuration configuration NOUN ajst-19175 7 16 , , PUNCT ajst-19175 7 17 and and CCONJ ajst-19175 7 18 an an DET ajst-19175 7 19 enhanced enhanced ADJ ajst-19175 7 20 parallel parallel ADJ ajst-19175 7 21 sampling sampling NOUN ajst-19175 7 22 strategy strategy NOUN ajst-19175 7 23 is be AUX ajst-19175 7 24 implemented implement VERB ajst-19175 7 25 to to PART ajst-19175 7 26 enhance enhance VERB ajst-19175 7 27 the the DET ajst-19175 7 28 fitting fitting ADJ ajst-19175 7 29 accuracy accuracy NOUN ajst-19175 7 30 of of ADP ajst-19175 7 31 the the DET ajst-19175 7 32 kriging krige VERB ajst-19175 7 33 surrogate surrogate ADJ ajst-19175 7 34 model model NOUN ajst-19175 7 35 . . PUNCT ajst-19175 8 1 finally finally ADV ajst-19175 8 2 , , PUNCT ajst-19175 8 3 the the DET ajst-19175 8 4 high high ADJ ajst-19175 8 5 - - PUNCT ajst-19175 8 6 precision precision NOUN ajst-19175 8 7 kriging krige VERB ajst-19175 8 8 surrogate surrogate ADJ ajst-19175 8 9 model model NOUN ajst-19175 8 10 is be AUX ajst-19175 8 11 utilized utilize VERB ajst-19175 8 12 as as ADP ajst-19175 8 13 the the DET ajst-19175 8 14 fitness fitness NOUN ajst-19175 8 15 function function NOUN ajst-19175 8 16 for for ADP ajst-19175 8 17 a a DET ajst-19175 8 18 particle particle NOUN ajst-19175 8 19 swarm swarm NOUN ajst-19175 8 20 optimization optimization NOUN ajst-19175 8 21 algorithm algorithm NOUN ajst-19175 8 22 , , PUNCT ajst-19175 8 23 with with ADP ajst-19175 8 24 the the DET ajst-19175 8 25 objectives objective NOUN ajst-19175 8 26 of of ADP ajst-19175 8 27 minimizing minimize VERB ajst-19175 8 28 transformer transformer NOUN ajst-19175 8 29 loss loss NOUN ajst-19175 8 30 and and CCONJ ajst-19175 8 31 volume volume NOUN ajst-19175 8 32 . . PUNCT ajst-19175 9 1 the the DET ajst-19175 9 2 pareto pareto ADJ ajst-19175 9 3 optimal optimal ADJ ajst-19175 9 4 solution solution NOUN ajst-19175 9 5 is be AUX ajst-19175 9 6 sought seek VERB ajst-19175 9 7 under under ADP ajst-19175 9 8 multi multi ADJ ajst-19175 9 9 - - ADJ ajst-19175 9 10 objective objective ADJ ajst-19175 9 11 optimization optimization NOUN ajst-19175 9 12 . . PUNCT ajst-19175 10 1 the the DET ajst-19175 10 2 effectiveness effectiveness NOUN ajst-19175 10 3 of of ADP ajst-19175 10 4 the the DET ajst-19175 10 5 proposed propose VERB ajst-19175 10 6 optimization optimization NOUN ajst-19175 10 7 method method NOUN ajst-19175 10 8 is be AUX ajst-19175 10 9 verified verify VERB ajst-19175 10 10 through through ADP ajst-19175 10 11 experimental experimental ADJ ajst-19175 10 12 measurements measurement NOUN ajst-19175 10 13 of of ADP ajst-19175 10 14 the the DET ajst-19175 10 15 loss loss NOUN ajst-19175 10 16 in in ADP ajst-19175 10 17 a a DET ajst-19175 10 18 prototype prototype NOUN ajst-19175 10 19 of of ADP ajst-19175 10 20 a a DET ajst-19175 10 21 medium medium ADJ ajst-19175 10 22 - - PUNCT ajst-19175 10 23 voltage voltage NOUN ajst-19175 10 24 high high ADJ ajst-19175 10 25 - - PUNCT ajst-19175 10 26 frequency frequency NOUN ajst-19175 10 27 transformer transformer NOUN ajst-19175 10 28 . . PUNCT ajst-19175 11 1 keywords keyword NOUN ajst-19175 11 2 : : PUNCT ajst-19175 11 3 medium medium ADJ ajst-19175 11 4 - - PUNCT ajst-19175 11 5 voltage voltage NOUN ajst-19175 11 6 high high ADJ ajst-19175 11 7 - - PUNCT ajst-19175 11 8 frequency frequency NOUN ajst-19175 11 9 transformer transformer NOUN ajst-19175 11 10 , , PUNCT ajst-19175 11 11 finite finite PROPN ajst-19175 11 12 element element NOUN ajst-19175 11 13 method method NOUN ajst-19175 11 14 , , PUNCT ajst-19175 11 15 kriging krige VERB ajst-19175 11 16 model model NOUN ajst-19175 11 17 , , PUNCT ajst-19175 11 18 parallel parallel ADJ ajst-19175 11 19 sampling sampling NOUN ajst-19175 11 20 , , PUNCT ajst-19175 11 21 multiobjective multiobjective ADJ ajst-19175 11 22 optimization optimization NOUN ajst-19175 11 23 . . PUNCT ajst-19175 12 1 1 1 X ajst-19175 12 2 . . X ajst-19175 12 3 introduction introduction NOUN ajst-19175 12 4 with with ADP ajst-19175 12 5 the the DET ajst-19175 12 6 increasing increase VERB ajst-19175 12 7 sales sale NOUN ajst-19175 12 8 of of ADP ajst-19175 12 9 electric electric ADJ ajst-19175 12 10 vehicles vehicle NOUN ajst-19175 12 11 , , PUNCT ajst-19175 12 12 the the DET ajst-19175 12 13 issues issue NOUN ajst-19175 12 14 of of ADP ajst-19175 12 15 insufficient insufficient ADJ ajst-19175 12 16 charging charging NOUN ajst-19175 12 17 stations station NOUN ajst-19175 12 18 and and CCONJ ajst-19175 12 19 slow slow ADJ ajst-19175 12 20 charging charging NOUN ajst-19175 12 21 have have AUX ajst-19175 12 22 become become VERB ajst-19175 12 23 increasingly increasingly ADV ajst-19175 12 24 severe severe ADJ ajst-19175 12 25 . . PUNCT ajst-19175 13 1 conventional conventional ADJ ajst-19175 13 2 power power NOUN ajst-19175 13 3 - - PUNCT ajst-19175 13 4 frequency frequency NOUN ajst-19175 13 5 distribution distribution NOUN ajst-19175 13 6 transformers transformer NOUN ajst-19175 13 7 occupy occupy VERB ajst-19175 13 8 a a DET ajst-19175 13 9 large large ADJ ajst-19175 13 10 area area NOUN ajst-19175 13 11 and and CCONJ ajst-19175 13 12 have have VERB ajst-19175 13 13 high high ADJ ajst-19175 13 14 losses loss NOUN ajst-19175 13 15 . . PUNCT ajst-19175 14 1 moreover moreover ADV ajst-19175 14 2 , , PUNCT ajst-19175 14 3 most most ADJ ajst-19175 14 4 current current ADJ ajst-19175 14 5 fast fast ADV ajst-19175 14 6 - - PUNCT ajst-19175 14 7 charging charge VERB ajst-19175 14 8 topologies topology NOUN ajst-19175 14 9 are be AUX ajst-19175 14 10 unidirectional unidirectional ADJ ajst-19175 14 11 , , PUNCT ajst-19175 14 12 meaning mean VERB ajst-19175 14 13 that that SCONJ ajst-19175 14 14 the the DET ajst-19175 14 15 energy energy NOUN ajst-19175 14 16 storage storage NOUN ajst-19175 14 17 of of ADP ajst-19175 14 18 electric electric ADJ ajst-19175 14 19 vehicles vehicle NOUN ajst-19175 14 20 can can AUX ajst-19175 14 21 not not PART ajst-19175 14 22 be be AUX ajst-19175 14 23 reversely reversely ADV ajst-19175 14 24 output output ADJ ajst-19175 14 25 to to PART ajst-19175 14 26 serve serve VERB ajst-19175 14 27 the the DET ajst-19175 14 28 power power NOUN ajst-19175 14 29 grid grid NOUN ajst-19175 14 30 , , PUNCT ajst-19175 14 31 thus thus ADV ajst-19175 14 32 failing fail VERB ajst-19175 14 33 to to PART ajst-19175 14 34 leverage leverage VERB ajst-19175 14 35 the the DET ajst-19175 14 36 v2 v2 NOUN ajst-19175 14 37 g g NOUN ajst-19175 14 38 functionality functionality NOUN ajst-19175 14 39 of of ADP ajst-19175 14 40 future future ADJ ajst-19175 14 41 smart smart ADJ ajst-19175 14 42 grids grid NOUN ajst-19175 14 43 [ [ X ajst-19175 14 44 1 1 NUM ajst-19175 14 45 ] ] PUNCT ajst-19175 14 46 . . PUNCT ajst-19175 15 1 therefore therefore ADV ajst-19175 15 2 , , PUNCT ajst-19175 15 3 there there PRON ajst-19175 15 4 is be VERB ajst-19175 15 5 an an DET ajst-19175 15 6 urgent urgent ADJ ajst-19175 15 7 need need NOUN ajst-19175 15 8 to to PART ajst-19175 15 9 develop develop VERB ajst-19175 15 10 novel novel ADJ ajst-19175 15 11 bidirectional bidirectional ADJ ajst-19175 15 12 high high ADJ ajst-19175 15 13 - - PUNCT ajst-19175 15 14 power power NOUN ajst-19175 15 15 fast fast ADJ ajst-19175 15 16 charging charging NOUN ajst-19175 15 17 and and CCONJ ajst-19175 15 18 discharging discharge VERB ajst-19175 15 19 power power NOUN ajst-19175 15 20 converters converter NOUN ajst-19175 15 21 . . PUNCT ajst-19175 16 1 medium medium ADJ ajst-19175 16 2 - - PUNCT ajst-19175 16 3 voltage voltage NOUN ajst-19175 16 4 high high ADJ ajst-19175 16 5 - - PUNCT ajst-19175 16 6 frequency frequency NOUN ajst-19175 16 7 transformers transformer NOUN ajst-19175 16 8 are be AUX ajst-19175 16 9 the the DET ajst-19175 16 10 core core NOUN ajst-19175 16 11 of of ADP ajst-19175 16 12 fast fast ADJ ajst-19175 16 13 charging charging NOUN ajst-19175 16 14 and and CCONJ ajst-19175 16 15 discharging discharge VERB ajst-19175 16 16 power power NOUN ajst-19175 16 17 converters converter NOUN ajst-19175 16 18 for for ADP ajst-19175 16 19 achieving achieve VERB ajst-19175 16 20 electrical electrical ADJ ajst-19175 16 21 isolation isolation NOUN ajst-19175 16 22 and and CCONJ ajst-19175 16 23 energy energy NOUN ajst-19175 16 24 transfer transfer NOUN ajst-19175 16 25 . . PUNCT ajst-19175 17 1 the the DET ajst-19175 17 2 highfrequency highfrequency NOUN ajst-19175 17 3 operation operation NOUN ajst-19175 17 4 of of ADP ajst-19175 17 5 transformers transformer NOUN ajst-19175 17 6 greatly greatly ADV ajst-19175 17 7 reduces reduce VERB ajst-19175 17 8 the the DET ajst-19175 17 9 weight weight NOUN ajst-19175 17 10 and and CCONJ ajst-19175 17 11 volume volume NOUN ajst-19175 17 12 of of ADP ajst-19175 17 13 converters converter NOUN ajst-19175 17 14 . . PUNCT ajst-19175 18 1 however however ADV ajst-19175 18 2 , , PUNCT ajst-19175 18 3 the the DET ajst-19175 18 4 eddy eddy PROPN ajst-19175 18 5 current current ADJ ajst-19175 18 6 effects effect NOUN ajst-19175 18 7 in in ADP ajst-19175 18 8 magnetic magnetic ADJ ajst-19175 18 9 cores core NOUN ajst-19175 18 10 and and CCONJ ajst-19175 18 11 windings winding NOUN ajst-19175 18 12 intensify intensify VERB ajst-19175 18 13 at at ADP ajst-19175 18 14 high high ADJ ajst-19175 18 15 frequencies frequency NOUN ajst-19175 18 16 , , PUNCT ajst-19175 18 17 leading lead VERB ajst-19175 18 18 to to ADP ajst-19175 18 19 increased increase VERB ajst-19175 18 20 transformer transformer NOUN ajst-19175 18 21 losses loss NOUN ajst-19175 18 22 . . PUNCT ajst-19175 19 1 moreover moreover ADV ajst-19175 19 2 , , PUNCT ajst-19175 19 3 the the DET ajst-19175 19 4 compact compact ADJ ajst-19175 19 5 size size NOUN ajst-19175 19 6 and and CCONJ ajst-19175 19 7 structure structure NOUN ajst-19175 19 8 of of ADP ajst-19175 19 9 high high ADJ ajst-19175 19 10 - - PUNCT ajst-19175 19 11 frequency frequency NOUN ajst-19175 19 12 transformers transformer NOUN ajst-19175 19 13 pose pose VERB ajst-19175 19 14 challenges challenge NOUN ajst-19175 19 15 in in ADP ajst-19175 19 16 heat heat NOUN ajst-19175 19 17 dissipation dissipation NOUN ajst-19175 19 18 and and CCONJ ajst-19175 19 19 insulation insulation NOUN ajst-19175 19 20 design design NOUN ajst-19175 19 21 . . PUNCT ajst-19175 20 1 additionally additionally ADV ajst-19175 20 2 , , PUNCT ajst-19175 20 3 parasitic parasitic ADJ ajst-19175 20 4 parameters parameter NOUN ajst-19175 20 5 must must AUX ajst-19175 20 6 be be AUX ajst-19175 20 7 taken take VERB ajst-19175 20 8 into into ADP ajst-19175 20 9 account account NOUN ajst-19175 20 10 during during ADP ajst-19175 20 11 high high ADJ ajst-19175 20 12 - - PUNCT ajst-19175 20 13 frequency frequency NOUN ajst-19175 20 14 design design NOUN ajst-19175 20 15 . . PUNCT ajst-19175 21 1 the the DET ajst-19175 21 2 design design NOUN ajst-19175 21 3 of of ADP ajst-19175 21 4 medium medium ADJ ajst-19175 21 5 - - PUNCT ajst-19175 21 6 voltage voltage NOUN ajst-19175 21 7 high high ADJ ajst-19175 21 8 - - PUNCT ajst-19175 21 9 frequency frequency NOUN ajst-19175 21 10 transformers transformer NOUN ajst-19175 21 11 requires require VERB ajst-19175 21 12 comprehensive comprehensive ADJ ajst-19175 21 13 consideration consideration NOUN ajst-19175 21 14 of of ADP ajst-19175 21 15 losses loss NOUN ajst-19175 21 16 , , PUNCT ajst-19175 21 17 heat heat NOUN ajst-19175 21 18 dissipation dissipation NOUN ajst-19175 21 19 , , PUNCT ajst-19175 21 20 insulation insulation NOUN ajst-19175 21 21 , , PUNCT ajst-19175 21 22 and and CCONJ ajst-19175 21 23 parasitic parasitic ADJ ajst-19175 21 24 parameters parameter NOUN ajst-19175 21 25 . . PUNCT ajst-19175 22 1 since since SCONJ ajst-19175 22 2 it it PRON ajst-19175 22 3 is be AUX ajst-19175 22 4 not not PART ajst-19175 22 5 possible possible ADJ ajst-19175 22 6 to to PART ajst-19175 22 7 optimize optimize VERB ajst-19175 22 8 all all DET ajst-19175 22 9 parameters parameter NOUN ajst-19175 22 10 simultaneously simultaneously ADV ajst-19175 22 11 , , PUNCT ajst-19175 22 12 the the DET ajst-19175 22 13 design design NOUN ajst-19175 22 14 of of ADP ajst-19175 22 15 medium medium ADJ ajst-19175 22 16 - - PUNCT ajst-19175 22 17 voltage voltage NOUN ajst-19175 22 18 high high ADJ ajst-19175 22 19 - - PUNCT ajst-19175 22 20 frequency frequency NOUN ajst-19175 22 21 transformers transformer NOUN ajst-19175 22 22 presents present VERB ajst-19175 22 23 a a DET ajst-19175 22 24 multi multi ADJ ajst-19175 22 25 - - ADJ ajst-19175 22 26 objective objective ADJ ajst-19175 22 27 optimization optimization NOUN ajst-19175 22 28 problem problem NOUN ajst-19175 22 29 . . PUNCT ajst-19175 23 1 existing exist VERB ajst-19175 23 2 transformer transformer NOUN ajst-19175 23 3 design design NOUN ajst-19175 23 4 methods method NOUN ajst-19175 23 5 primarily primarily ADV ajst-19175 23 6 consist consist VERB ajst-19175 23 7 of of ADP ajst-19175 23 8 the the DET ajst-19175 23 9 ap ap PROPN ajst-19175 23 10 design design NOUN ajst-19175 23 11 method method NOUN ajst-19175 23 12 ( ( PUNCT ajst-19175 23 13 area area NOUN ajst-19175 23 14 of of ADP ajst-19175 23 15 the the DET ajst-19175 23 16 product product NOUN ajst-19175 23 17 ) ) PUNCT ajst-19175 23 18 , , PUNCT ajst-19175 23 19 kg kg PROPN ajst-19175 23 20 design design NOUN ajst-19175 23 21 method method NOUN ajst-19175 23 22 ( ( PUNCT ajst-19175 23 23 core core NOUN ajst-19175 23 24 geometrical geometrical ADJ ajst-19175 23 25 constant constant NOUN ajst-19175 23 26 ) ) PUNCT ajst-19175 23 27 , , PUNCT ajst-19175 23 28 and and CCONJ ajst-19175 23 29 novel novel ADJ ajst-19175 23 30 artificial artificial ADJ ajst-19175 23 31 intelligence intelligence NOUN ajst-19175 23 32 optimization optimization NOUN ajst-19175 23 33 algorithms algorithm NOUN ajst-19175 23 34 [ [ X ajst-19175 23 35 2 2 NUM ajst-19175 23 36 ] ] PUNCT ajst-19175 23 37 . . PUNCT ajst-19175 24 1 the the DET ajst-19175 24 2 ap ap PROPN ajst-19175 24 3 and and CCONJ ajst-19175 24 4 kg kg PROPN ajst-19175 24 5 methods method NOUN ajst-19175 24 6 suffer suffer VERB ajst-19175 24 7 from from ADP ajst-19175 24 8 low low ADJ ajst-19175 24 9 design design NOUN ajst-19175 24 10 accuracy accuracy NOUN ajst-19175 24 11 and and CCONJ ajst-19175 24 12 a a DET ajst-19175 24 13 unidirectional unidirectional ADJ ajst-19175 24 14 , , PUNCT ajst-19175 24 15 irreversible irreversible ADJ ajst-19175 24 16 design design NOUN ajst-19175 24 17 process process NOUN ajst-19175 24 18 . . PUNCT ajst-19175 25 1 if if SCONJ ajst-19175 25 2 the the DET ajst-19175 25 3 requirements requirement NOUN ajst-19175 25 4 are be AUX ajst-19175 25 5 not not PART ajst-19175 25 6 met meet VERB ajst-19175 25 7 , , PUNCT ajst-19175 25 8 calculations calculation NOUN ajst-19175 25 9 need need VERB ajst-19175 25 10 to to PART ajst-19175 25 11 be be AUX ajst-19175 25 12 restarted restart VERB ajst-19175 25 13 from from ADP ajst-19175 25 14 the the DET ajst-19175 25 15 beginning beginning NOUN ajst-19175 25 16 . . PUNCT ajst-19175 26 1 yibo yibo PROPN ajst-19175 26 2 song song NOUN ajst-19175 26 3 [ [ X ajst-19175 26 4 3 3 NUM ajst-19175 26 5 ] ] PUNCT ajst-19175 26 6 utilizes utilize VERB ajst-19175 26 7 the the DET ajst-19175 26 8 ap ap PROPN ajst-19175 26 9 method method NOUN ajst-19175 26 10 to to PART ajst-19175 26 11 design design VERB ajst-19175 26 12 a a DET ajst-19175 26 13 high high ADJ ajst-19175 26 14 - - PUNCT ajst-19175 26 15 frequency frequency NOUN ajst-19175 26 16 transformer transformer NOUN ajst-19175 26 17 for for ADP ajst-19175 26 18 switching switch VERB ajst-19175 26 19 power power NOUN ajst-19175 26 20 supplies supply NOUN ajst-19175 26 21 . . PUNCT ajst-19175 27 1 fengjun fengjun PROPN ajst-19175 27 2 liu liu PROPN ajst-19175 28 1 [ [ X ajst-19175 28 2 4 4 X ajst-19175 28 3 ] ] PUNCT ajst-19175 28 4 introduces introduce VERB ajst-19175 28 5 the the DET ajst-19175 28 6 calculation calculation NOUN ajst-19175 28 7 process process NOUN ajst-19175 28 8 of of ADP ajst-19175 28 9 the the DET ajst-19175 28 10 kg kg NOUN ajst-19175 28 11 method method NOUN ajst-19175 28 12 and and CCONJ ajst-19175 28 13 demonstrates demonstrate VERB ajst-19175 28 14 a a DET ajst-19175 28 15 design design NOUN ajst-19175 28 16 example example NOUN ajst-19175 28 17 of of ADP ajst-19175 28 18 a a DET ajst-19175 28 19 high high ADJ ajst-19175 28 20 - - PUNCT ajst-19175 28 21 frequency frequency NOUN ajst-19175 28 22 transformer transformer NOUN ajst-19175 28 23 with with ADP ajst-19175 28 24 input input NOUN ajst-19175 28 25 and and CCONJ ajst-19175 28 26 output output NOUN ajst-19175 28 27 voltages voltage NOUN ajst-19175 28 28 of of ADP ajst-19175 28 29 28v 28v NOUN ajst-19175 28 30 and and CCONJ ajst-19175 28 31 18v 18v NOUN ajst-19175 28 32 , , PUNCT ajst-19175 28 33 respectively respectively ADV ajst-19175 28 34 , , PUNCT ajst-19175 28 35 and and CCONJ ajst-19175 28 36 an an DET ajst-19175 28 37 operating operating NOUN ajst-19175 28 38 frequency frequency NOUN ajst-19175 28 39 of of ADP ajst-19175 28 40 40khz 40khz PROPN ajst-19175 28 41 . . PUNCT ajst-19175 29 1 with with ADP ajst-19175 29 2 the the DET ajst-19175 29 3 advancement advancement NOUN ajst-19175 29 4 of of ADP ajst-19175 29 5 finite finite PROPN ajst-19175 29 6 element element PROPN ajst-19175 29 7 simulation simulation PROPN ajst-19175 29 8 technology technology NOUN ajst-19175 29 9 , , PUNCT ajst-19175 29 10 digital digital ADJ ajst-19175 29 11 modeling modeling NOUN ajst-19175 29 12 and and CCONJ ajst-19175 29 13 calculations calculation NOUN ajst-19175 29 14 of of ADP ajst-19175 29 15 transformers transformer NOUN ajst-19175 29 16 through through ADP ajst-19175 29 17 finite finite PROPN ajst-19175 29 18 element element NOUN ajst-19175 29 19 software software NOUN ajst-19175 29 20 , , PUNCT ajst-19175 29 21 coupled couple VERB ajst-19175 29 22 with with ADP ajst-19175 29 23 intelligent intelligent ADJ ajst-19175 29 24 optimization optimization NOUN ajst-19175 29 25 algorithms algorithm NOUN ajst-19175 29 26 , , PUNCT ajst-19175 29 27 can can AUX ajst-19175 29 28 reduce reduce VERB ajst-19175 29 29 design design NOUN ajst-19175 29 30 iterations iteration NOUN ajst-19175 29 31 and and CCONJ ajst-19175 29 32 accelerate accelerate VERB ajst-19175 29 33 the the DET ajst-19175 29 34 design design NOUN ajst-19175 29 35 process process NOUN ajst-19175 29 36 . . PUNCT ajst-19175 30 1 daosheng daosheng PROPN ajst-19175 30 2 liu liu PROPN ajst-19175 31 1 [ [ X ajst-19175 31 2 5 5 NUM ajst-19175 31 3 ] ] PUNCT ajst-19175 31 4 introduces introduce NOUN ajst-19175 31 5 chaos chaos NOUN ajst-19175 31 6 sequences sequence NOUN ajst-19175 31 7 and and CCONJ ajst-19175 31 8 adaptive adaptive ADJ ajst-19175 31 9 genetic genetic ADJ ajst-19175 31 10 operators operator NOUN ajst-19175 31 11 into into ADP ajst-19175 31 12 the the DET ajst-19175 31 13 traditional traditional ADJ ajst-19175 31 14 genetic genetic ADJ ajst-19175 31 15 algorithm algorithm NOUN ajst-19175 31 16 , , PUNCT ajst-19175 31 17 proposing propose VERB ajst-19175 31 18 a a DET ajst-19175 31 19 chaos chaos NOUN ajst-19175 31 20 - - PUNCT ajst-19175 31 21 adaptive adaptive ADJ ajst-19175 31 22 genetic genetic ADJ ajst-19175 31 23 algorithm algorithm NOUN ajst-19175 31 24 for for ADP ajst-19175 31 25 the the DET ajst-19175 31 26 optimized optimize VERB ajst-19175 31 27 design design NOUN ajst-19175 31 28 of of ADP ajst-19175 31 29 amorphous amorphous ADJ ajst-19175 31 30 alloy alloy NOUN ajst-19175 31 31 dry dry ADJ ajst-19175 31 32 - - PUNCT ajst-19175 31 33 type type NOUN ajst-19175 31 34 transformers transformer NOUN ajst-19175 31 35 . . PUNCT ajst-19175 32 1 zhan zhan PROPN ajst-19175 32 2 liang liang PROPN ajst-19175 33 1 [ [ X ajst-19175 33 2 6 6 NUM ajst-19175 33 3 ] ] PUNCT ajst-19175 33 4 presents present VERB ajst-19175 33 5 an an DET ajst-19175 33 6 ant ant ADJ ajst-19175 33 7 lion lion NOUN ajst-19175 33 8 optimization optimization NOUN ajst-19175 33 9 - - PUNCT ajst-19175 33 10 based base VERB ajst-19175 33 11 genetic genetic ADJ ajst-19175 33 12 algorithm algorithm NOUN ajst-19175 33 13 that that PRON ajst-19175 33 14 optimizes optimize VERB ajst-19175 33 15 the the DET ajst-19175 33 16 design design NOUN ajst-19175 33 17 of of ADP ajst-19175 33 18 high high ADJ ajst-19175 33 19 - - PUNCT ajst-19175 33 20 frequency frequency NOUN ajst-19175 33 21 pancake pancake NOUN ajst-19175 33 22 transformers transformer NOUN ajst-19175 33 23 under under ADP ajst-19175 33 24 multiple multiple ADJ ajst-19175 33 25 objectives objective NOUN ajst-19175 33 26 of of ADP ajst-19175 33 27 leakage leakage NOUN ajst-19175 33 28 inductance inductance NOUN ajst-19175 33 29 , , PUNCT ajst-19175 33 30 temperature temperature NOUN ajst-19175 33 31 rise rise NOUN ajst-19175 33 32 , , PUNCT ajst-19175 33 33 efficiency efficiency NOUN ajst-19175 33 34 , , PUNCT ajst-19175 33 35 and and CCONJ ajst-19175 33 36 power power NOUN ajst-19175 33 37 density density NOUN ajst-19175 33 38 , , PUNCT ajst-19175 33 39 taking take VERB ajst-19175 33 40 into into ADP ajst-19175 33 41 account account NOUN ajst-19175 33 42 the the DET ajst-19175 33 43 impact impact NOUN ajst-19175 33 44 of of ADP ajst-19175 33 45 insulation insulation NOUN ajst-19175 33 46 spacing spacing NOUN ajst-19175 33 47 on on ADP ajst-19175 33 48 the the DET ajst-19175 33 49 structure structure NOUN ajst-19175 33 50 . . PUNCT ajst-19175 34 1 fugui fugui VERB ajst-19175 34 2 liu liu PROPN ajst-19175 35 1 [ [ X ajst-19175 35 2 7 7 NUM ajst-19175 35 3 ] ] PUNCT ajst-19175 35 4 selects select VERB ajst-19175 35 5 the the DET ajst-19175 35 6 magnetic magnetic ADJ ajst-19175 35 7 core core NOUN ajst-19175 35 8 , , PUNCT ajst-19175 35 9 winding wind VERB ajst-19175 35 10 loss loss NOUN ajst-19175 35 11 calculation calculation NOUN ajst-19175 35 12 model model NOUN ajst-19175 35 13 , , PUNCT ajst-19175 35 14 and and CCONJ ajst-19175 35 15 ap ap PROPN ajst-19175 35 16 method method NOUN ajst-19175 35 17 formula formula NOUN ajst-19175 35 18 as as ADP ajst-19175 35 19 optimization optimization NOUN ajst-19175 35 20 objectives objective NOUN ajst-19175 35 21 , , PUNCT ajst-19175 35 22 with with ADP ajst-19175 35 23 transformer transformer NOUN ajst-19175 35 24 efficiency efficiency NOUN ajst-19175 35 25 as as ADP ajst-19175 35 26 a a DET ajst-19175 35 27 constraint constraint NOUN ajst-19175 35 28 . . PUNCT ajst-19175 36 1 it it PRON ajst-19175 36 2 uses use VERB ajst-19175 36 3 adaptive adaptive ADJ ajst-19175 36 4 crossover crossover NOUN ajst-19175 36 5 and and CCONJ ajst-19175 36 6 mutation mutation NOUN ajst-19175 36 7 probabilities probability NOUN ajst-19175 36 8 to to PART ajst-19175 36 9 adjust adjust VERB ajst-19175 36 10 population population NOUN ajst-19175 36 11 diversity diversity NOUN ajst-19175 36 12 and and CCONJ ajst-19175 36 13 improves improve VERB ajst-19175 36 14 the the DET ajst-19175 36 15 moto moto PROPN ajst-19175 36 16 algorithm algorithm NOUN ajst-19175 36 17 for for ADP ajst-19175 36 18 the the DET ajst-19175 36 19 design design NOUN ajst-19175 36 20 of of ADP ajst-19175 36 21 highfrequency highfrequency NOUN ajst-19175 36 22 transformers transformer NOUN ajst-19175 36 23 . . PUNCT ajst-19175 37 1 however however ADV ajst-19175 37 2 , , PUNCT ajst-19175 37 3 transformer transformer ADJ ajst-19175 37 4 design design NOUN ajst-19175 37 5 involves involve VERB ajst-19175 37 6 numerous numerous ADJ ajst-19175 37 7 design design NOUN ajst-19175 37 8 variables variable NOUN ajst-19175 37 9 , , PUNCT ajst-19175 37 10 constraint constraint NOUN ajst-19175 37 11 boundaries boundary NOUN ajst-19175 37 12 , , PUNCT ajst-19175 37 13 and and CCONJ ajst-19175 37 14 objective objective ADJ ajst-19175 37 15 functions function NOUN ajst-19175 37 16 . . PUNCT ajst-19175 38 1 the the DET ajst-19175 38 2 algorithm algorithm NOUN ajst-19175 38 3 frequently frequently ADV ajst-19175 38 4 needs need VERB ajst-19175 38 5 to to ADP ajst-19175 38 6 187 187 NUM ajst-19175 38 7 invoke invoke NOUN ajst-19175 38 8 finite finite ADJ ajst-19175 38 9 element element NOUN ajst-19175 38 10 calculations calculation NOUN ajst-19175 38 11 , , PUNCT ajst-19175 38 12 leading lead VERB ajst-19175 38 13 to to ADP ajst-19175 38 14 exponential exponential ADJ ajst-19175 38 15 growth growth NOUN ajst-19175 38 16 in in ADP ajst-19175 38 17 computation computation NOUN ajst-19175 38 18 time time NOUN ajst-19175 38 19 and and CCONJ ajst-19175 38 20 iteration iteration NOUN ajst-19175 38 21 count count NOUN ajst-19175 38 22 with with ADP ajst-19175 38 23 the the DET ajst-19175 38 24 increase increase NOUN ajst-19175 38 25 in in ADP ajst-19175 38 26 parameter parameter NOUN ajst-19175 38 27 dimensions dimension NOUN ajst-19175 38 28 , , PUNCT ajst-19175 38 29 significantly significantly ADV ajst-19175 38 30 affecting affect VERB ajst-19175 38 31 the the DET ajst-19175 38 32 transformer transformer NOUN ajst-19175 38 33 's 's PART ajst-19175 38 34 design design NOUN ajst-19175 38 35 cycle cycle NOUN ajst-19175 38 36 . . PUNCT ajst-19175 39 1 to to PART ajst-19175 39 2 reduce reduce VERB ajst-19175 39 3 the the DET ajst-19175 39 4 demand demand NOUN ajst-19175 39 5 for for ADP ajst-19175 39 6 computational computational ADJ ajst-19175 39 7 resources resource NOUN ajst-19175 39 8 and and CCONJ ajst-19175 39 9 time time NOUN ajst-19175 39 10 in in ADP ajst-19175 39 11 transformer transformer NOUN ajst-19175 39 12 design design NOUN ajst-19175 39 13 using use VERB ajst-19175 39 14 numerical numerical ADJ ajst-19175 39 15 simulation simulation NOUN ajst-19175 39 16 methods method NOUN ajst-19175 39 17 , , PUNCT ajst-19175 39 18 a a DET ajst-19175 39 19 surrogate surrogate NOUN ajst-19175 39 20 - - PUNCT ajst-19175 39 21 based base VERB ajst-19175 39 22 optimization optimization NOUN ajst-19175 39 23 ( ( PUNCT ajst-19175 39 24 sbo sbo PROPN ajst-19175 39 25 ) ) PUNCT ajst-19175 39 26 algorithm algorithm NOUN ajst-19175 39 27 is be AUX ajst-19175 39 28 employed employ VERB ajst-19175 39 29 . . PUNCT ajst-19175 40 1 this this PRON ajst-19175 40 2 involves involve VERB ajst-19175 40 3 approximating approximate VERB ajst-19175 40 4 a a DET ajst-19175 40 5 limited limited ADJ ajst-19175 40 6 number number NOUN ajst-19175 40 7 of of ADP ajst-19175 40 8 transformer transformer NOUN ajst-19175 40 9 numerical numerical PROPN ajst-19175 40 10 simulation simulation PROPN ajst-19175 40 11 parameters parameter NOUN ajst-19175 40 12 into into ADP ajst-19175 40 13 a a DET ajst-19175 40 14 black black ADJ ajst-19175 40 15 - - PUNCT ajst-19175 40 16 box box NOUN ajst-19175 40 17 model model NOUN ajst-19175 40 18 . . PUNCT ajst-19175 41 1 once once SCONJ ajst-19175 41 2 the the DET ajst-19175 41 3 model model NOUN ajst-19175 41 4 accuracy accuracy NOUN ajst-19175 41 5 reaches reach VERB ajst-19175 41 6 the the DET ajst-19175 41 7 required require VERB ajst-19175 41 8 95 95 NUM ajst-19175 41 9 % % NOUN ajst-19175 41 10 , , PUNCT ajst-19175 41 11 it it PRON ajst-19175 41 12 is be AUX ajst-19175 41 13 combined combine VERB ajst-19175 41 14 with with ADP ajst-19175 41 15 a a DET ajst-19175 41 16 particle particle NOUN ajst-19175 41 17 swarm swarm NOUN ajst-19175 41 18 optimization optimization NOUN ajst-19175 41 19 algorithm algorithm NOUN ajst-19175 41 20 to to PART ajst-19175 41 21 achieve achieve VERB ajst-19175 41 22 global global ADJ ajst-19175 41 23 optimization optimization NOUN ajst-19175 41 24 in in ADP ajst-19175 41 25 transformer transformer NOUN ajst-19175 41 26 design design NOUN ajst-19175 41 27 . . PUNCT ajst-19175 42 1 existing exist VERB ajst-19175 42 2 surrogate surrogate ADJ ajst-19175 42 3 models model NOUN ajst-19175 42 4 primarily primarily ADV ajst-19175 42 5 include include VERB ajst-19175 42 6 kriging krige VERB ajst-19175 42 7 models model NOUN ajst-19175 42 8 , , PUNCT ajst-19175 42 9 radial radial ADJ ajst-19175 42 10 basis basis NOUN ajst-19175 42 11 models model NOUN ajst-19175 42 12 , , PUNCT ajst-19175 42 13 support support NOUN ajst-19175 42 14 vector vector NOUN ajst-19175 42 15 regression regression NOUN ajst-19175 42 16 models model NOUN ajst-19175 42 17 , , PUNCT ajst-19175 42 18 and and CCONJ ajst-19175 42 19 others other NOUN ajst-19175 42 20 . . PUNCT ajst-19175 43 1 bin bin NOUN ajst-19175 43 2 xia xia PROPN ajst-19175 44 1 [ [ X ajst-19175 44 2 8 8 NUM ajst-19175 44 3 ] ] PUNCT ajst-19175 44 4 proposes propose VERB ajst-19175 44 5 a a DET ajst-19175 44 6 more more ADV ajst-19175 44 7 effective effective ADJ ajst-19175 44 8 adaptive adaptive ADJ ajst-19175 44 9 collaborative collaborative ADJ ajst-19175 44 10 kriging krige VERB ajst-19175 44 11 surrogate surrogate ADJ ajst-19175 44 12 model model NOUN ajst-19175 44 13 by by ADP ajst-19175 44 14 combining combine VERB ajst-19175 44 15 two two NUM ajst-19175 44 16 - - PUNCT ajst-19175 44 17 dimensional dimensional ADJ ajst-19175 44 18 finite finite ADJ ajst-19175 44 19 element element NOUN ajst-19175 44 20 analysis analysis NOUN ajst-19175 44 21 with with ADP ajst-19175 44 22 three three NUM ajst-19175 44 23 - - PUNCT ajst-19175 44 24 dimensional dimensional ADJ ajst-19175 44 25 finite finite ADJ ajst-19175 44 26 element element NOUN ajst-19175 44 27 data datum NOUN ajst-19175 44 28 to to PART ajst-19175 44 29 optimize optimize VERB ajst-19175 44 30 the the DET ajst-19175 44 31 windings winding NOUN ajst-19175 44 32 of of ADP ajst-19175 44 33 power power NOUN ajst-19175 44 34 transformers transformer NOUN ajst-19175 44 35 . . PUNCT ajst-19175 45 1 syed sye VERB ajst-19175 45 2 shadab shadab PROPN ajst-19175 46 1 [ [ X ajst-19175 46 2 9 9 NUM ajst-19175 46 3 ] ] SYM ajst-19175 46 4 integrates integrate NOUN ajst-19175 46 5 gaussian gaussian ADJ ajst-19175 46 6 process process NOUN ajst-19175 46 7 regression regression NOUN ajst-19175 46 8 models model NOUN ajst-19175 46 9 with with ADP ajst-19175 46 10 transformer transformer ADJ ajst-19175 46 11 thermal thermal ADJ ajst-19175 46 12 models model NOUN ajst-19175 46 13 to to PART ajst-19175 46 14 effectively effectively ADV ajst-19175 46 15 assess assess VERB ajst-19175 46 16 transformer transformer NOUN ajst-19175 46 17 lifespan lifespan NOUN ajst-19175 46 18 under under ADP ajst-19175 46 19 uncertain uncertain ADJ ajst-19175 46 20 conditions condition NOUN ajst-19175 46 21 . . PUNCT ajst-19175 47 1 slawomir slawomir PROPN ajst-19175 47 2 kozuel kozuel PROPN ajst-19175 48 1 [ [ X ajst-19175 48 2 10 10 NUM ajst-19175 48 3 ] ] PUNCT ajst-19175 48 4 feeds feed VERB ajst-19175 48 5 back back ADV ajst-19175 48 6 the the DET ajst-19175 48 7 accumulated accumulate VERB ajst-19175 48 8 difference difference NOUN ajst-19175 48 9 between between ADP ajst-19175 48 10 the the DET ajst-19175 48 11 target target NOUN ajst-19175 48 12 value value NOUN ajst-19175 48 13 and and CCONJ ajst-19175 48 14 the the DET ajst-19175 48 15 actual actual ADJ ajst-19175 48 16 target target NOUN ajst-19175 48 17 to to ADP ajst-19175 48 18 the the DET ajst-19175 48 19 kriging krige VERB ajst-19175 48 20 model model NOUN ajst-19175 48 21 to to PART ajst-19175 48 22 generate generate VERB ajst-19175 48 23 improved improved ADJ ajst-19175 48 24 predictions prediction NOUN ajst-19175 48 25 , , PUNCT ajst-19175 48 26 enabling enable VERB ajst-19175 48 27 rapid rapid ADJ ajst-19175 48 28 optimization optimization NOUN ajst-19175 48 29 of of ADP ajst-19175 48 30 compact compact ADJ ajst-19175 48 31 passive passive ADJ ajst-19175 48 32 components component NOUN ajst-19175 48 33 . . PUNCT ajst-19175 49 1 in in ADP ajst-19175 49 2 summary summary NOUN ajst-19175 49 3 , , PUNCT ajst-19175 49 4 surrogate surrogate ADJ ajst-19175 49 5 model model NOUN ajst-19175 49 6 methods method NOUN ajst-19175 49 7 can can AUX ajst-19175 49 8 establish establish VERB ajst-19175 49 9 the the DET ajst-19175 49 10 relationship relationship NOUN ajst-19175 49 11 between between ADP ajst-19175 49 12 target target NOUN ajst-19175 49 13 values value NOUN ajst-19175 49 14 and and CCONJ ajst-19175 49 15 input input NOUN ajst-19175 49 16 variables variable NOUN ajst-19175 49 17 through through ADP ajst-19175 49 18 sample sample NOUN ajst-19175 49 19 data datum NOUN ajst-19175 49 20 fitting fit VERB ajst-19175 49 21 , , PUNCT ajst-19175 49 22 completing complete VERB ajst-19175 49 23 multiobjective multiobjective ADJ ajst-19175 49 24 optimization optimization NOUN ajst-19175 49 25 tasks task NOUN ajst-19175 49 26 for for ADP ajst-19175 49 27 transformers transformer NOUN ajst-19175 49 28 . . PUNCT ajst-19175 50 1 however however ADV ajst-19175 50 2 , , PUNCT ajst-19175 50 3 surrogate surrogate ADJ ajst-19175 50 4 models model NOUN ajst-19175 50 5 often often ADV ajst-19175 50 6 require require VERB ajst-19175 50 7 a a DET ajst-19175 50 8 large large ADJ ajst-19175 50 9 number number NOUN ajst-19175 50 10 of of ADP ajst-19175 50 11 samples sample NOUN ajst-19175 50 12 during during ADP ajst-19175 50 13 training training NOUN ajst-19175 50 14 , , PUNCT ajst-19175 50 15 are be AUX ajst-19175 50 16 prone prone ADJ ajst-19175 50 17 to to ADP ajst-19175 50 18 overfitting overfitte VERB ajst-19175 50 19 , , PUNCT ajst-19175 50 20 and and CCONJ ajst-19175 50 21 have have VERB ajst-19175 50 22 poor poor ADJ ajst-19175 50 23 generalization generalization NOUN ajst-19175 50 24 capabilities capability NOUN ajst-19175 50 25 [ [ X ajst-19175 50 26 11 11 NUM ajst-19175 50 27 ] ] PUNCT ajst-19175 50 28 . . PUNCT ajst-19175 51 1 therefore therefore ADV ajst-19175 51 2 , , PUNCT ajst-19175 51 3 research research NOUN ajst-19175 51 4 on on ADP ajst-19175 51 5 how how SCONJ ajst-19175 51 6 to to PART ajst-19175 51 7 achieve achieve VERB ajst-19175 51 8 small small ADJ ajst-19175 51 9 - - PUNCT ajst-19175 51 10 sample sample NOUN ajst-19175 51 11 fitting fitting NOUN ajst-19175 51 12 of of ADP ajst-19175 51 13 surrogate surrogate ADJ ajst-19175 51 14 models model NOUN ajst-19175 51 15 and and CCONJ ajst-19175 51 16 improve improve VERB ajst-19175 51 17 model model NOUN ajst-19175 51 18 prediction prediction NOUN ajst-19175 51 19 accuracy accuracy NOUN ajst-19175 51 20 holds hold VERB ajst-19175 51 21 significant significant ADJ ajst-19175 51 22 value value NOUN ajst-19175 51 23 for for ADP ajst-19175 51 24 shortening shorten VERB ajst-19175 51 25 the the DET ajst-19175 51 26 design design NOUN ajst-19175 51 27 cycle cycle NOUN ajst-19175 51 28 of of ADP ajst-19175 51 29 medium medium ADJ ajst-19175 51 30 - - PUNCT ajst-19175 51 31 voltage voltage NOUN ajst-19175 51 32 highfrequency highfrequency NOUN ajst-19175 51 33 transformers transformer NOUN ajst-19175 51 34 . . PUNCT ajst-19175 52 1 to to PART ajst-19175 52 2 address address VERB ajst-19175 52 3 the the DET ajst-19175 52 4 aforementioned aforementioned ADJ ajst-19175 52 5 issues issue NOUN ajst-19175 52 6 , , PUNCT ajst-19175 52 7 this this DET ajst-19175 52 8 paper paper NOUN ajst-19175 52 9 proposes propose VERB ajst-19175 52 10 a a DET ajst-19175 52 11 parallel parallel ADJ ajst-19175 52 12 - - PUNCT ajst-19175 52 13 augmentation augmentation NOUN ajst-19175 52 14 - - PUNCT ajst-19175 52 15 based base VERB ajst-19175 52 16 kriging krige VERB ajst-19175 52 17 surrogate surrogate ADJ ajst-19175 52 18 model model NOUN ajst-19175 52 19 for for ADP ajst-19175 52 20 the the DET ajst-19175 52 21 construction construction NOUN ajst-19175 52 22 of of ADP ajst-19175 52 23 transformer transformer NOUN ajst-19175 52 24 models model NOUN ajst-19175 52 25 with with ADP ajst-19175 52 26 a a DET ajst-19175 52 27 small small ADJ ajst-19175 52 28 sample sample NOUN ajst-19175 52 29 size size NOUN ajst-19175 52 30 . . PUNCT ajst-19175 53 1 firstly firstly ADV ajst-19175 53 2 , , PUNCT ajst-19175 53 3 a a DET ajst-19175 53 4 three three NUM ajst-19175 53 5 - - PUNCT ajst-19175 53 6 dimensional dimensional ADJ ajst-19175 53 7 transformer transformer NOUN ajst-19175 53 8 model model NOUN ajst-19175 53 9 is be AUX ajst-19175 53 10 established establish VERB ajst-19175 53 11 , , PUNCT ajst-19175 53 12 and and CCONJ ajst-19175 53 13 its its PRON ajst-19175 53 14 corresponding corresponding ADJ ajst-19175 53 15 response response NOUN ajst-19175 53 16 values value NOUN ajst-19175 53 17 are be AUX ajst-19175 53 18 obtained obtain VERB ajst-19175 53 19 through through ADP ajst-19175 53 20 finite finite ADJ ajst-19175 53 21 element element NOUN ajst-19175 53 22 analysis analysis NOUN ajst-19175 53 23 using use VERB ajst-19175 53 24 finite finite ADJ ajst-19175 53 25 element element NOUN ajst-19175 53 26 software software NOUN ajst-19175 53 27 . . PUNCT ajst-19175 54 1 initial initial ADJ ajst-19175 54 2 sample sample NOUN ajst-19175 54 3 points point NOUN ajst-19175 54 4 and and CCONJ ajst-19175 54 5 test test NOUN ajst-19175 54 6 points point NOUN ajst-19175 54 7 are be AUX ajst-19175 54 8 generated generate VERB ajst-19175 54 9 using use VERB ajst-19175 54 10 the the DET ajst-19175 54 11 latin latin ADJ ajst-19175 54 12 hypercube hypercube NOUN ajst-19175 54 13 sampling sample VERB ajst-19175 54 14 method method NOUN ajst-19175 54 15 . . PUNCT ajst-19175 55 1 these these DET ajst-19175 55 2 initial initial ADJ ajst-19175 55 3 sample sample NOUN ajst-19175 55 4 points point NOUN ajst-19175 55 5 are be AUX ajst-19175 55 6 then then ADV ajst-19175 55 7 used use VERB ajst-19175 55 8 to to PART ajst-19175 55 9 construct construct VERB ajst-19175 55 10 the the DET ajst-19175 55 11 surrogate surrogate ADJ ajst-19175 55 12 model model NOUN ajst-19175 55 13 , , PUNCT ajst-19175 55 14 and and CCONJ ajst-19175 55 15 its its PRON ajst-19175 55 16 accuracy accuracy NOUN ajst-19175 55 17 is be AUX ajst-19175 55 18 tested test VERB ajst-19175 55 19 . . PUNCT ajst-19175 56 1 secondly secondly ADV ajst-19175 56 2 , , PUNCT ajst-19175 56 3 based base VERB ajst-19175 56 4 on on ADP ajst-19175 56 5 the the DET ajst-19175 56 6 parallel parallel ADJ ajst-19175 56 7 augmentation augmentation NOUN ajst-19175 56 8 approach approach NOUN ajst-19175 56 9 , , PUNCT ajst-19175 56 10 subsequent subsequent ADJ ajst-19175 56 11 sample sample NOUN ajst-19175 56 12 points point NOUN ajst-19175 56 13 are be AUX ajst-19175 56 14 selected select VERB ajst-19175 56 15 to to PART ajst-19175 56 16 maximize maximize VERB ajst-19175 56 17 the the DET ajst-19175 56 18 variance variance NOUN ajst-19175 56 19 while while SCONJ ajst-19175 56 20 searching search VERB ajst-19175 56 21 the the DET ajst-19175 56 22 relevant relevant ADJ ajst-19175 56 23 neighborhood neighborhood NOUN ajst-19175 56 24 of of ADP ajst-19175 56 25 historical historical ADJ ajst-19175 56 26 optimal optimal ADJ ajst-19175 56 27 points point NOUN ajst-19175 56 28 . . PUNCT ajst-19175 57 1 the the DET ajst-19175 57 2 surrogate surrogate ADJ ajst-19175 57 3 model model NOUN ajst-19175 57 4 is be AUX ajst-19175 57 5 rebuilt rebuild VERB ajst-19175 57 6 until until SCONJ ajst-19175 57 7 the the DET ajst-19175 57 8 accuracy accuracy NOUN ajst-19175 57 9 requirements requirement NOUN ajst-19175 57 10 are be AUX ajst-19175 57 11 met meet VERB ajst-19175 57 12 . . PUNCT ajst-19175 58 1 finally finally ADV ajst-19175 58 2 , , PUNCT ajst-19175 58 3 the the DET ajst-19175 58 4 constructed construct VERB ajst-19175 58 5 surrogate surrogate ADJ ajst-19175 58 6 model model NOUN ajst-19175 58 7 is be AUX ajst-19175 58 8 used use VERB ajst-19175 58 9 as as ADP ajst-19175 58 10 the the DET ajst-19175 58 11 fitness fitness NOUN ajst-19175 58 12 function function NOUN ajst-19175 58 13 of of ADP ajst-19175 58 14 the the DET ajst-19175 58 15 particle particle NOUN ajst-19175 58 16 swarm swarm NOUN ajst-19175 58 17 optimization optimization NOUN ajst-19175 58 18 algorithm algorithm NOUN ajst-19175 58 19 to to PART ajst-19175 58 20 complete complete VERB ajst-19175 58 21 the the DET ajst-19175 58 22 optimization optimization NOUN ajst-19175 58 23 of of ADP ajst-19175 58 24 medium medium ADJ ajst-19175 58 25 - - PUNCT ajst-19175 58 26 voltage voltage NOUN ajst-19175 58 27 highfrequency highfrequency NOUN ajst-19175 58 28 transformers transformer NOUN ajst-19175 58 29 . . PUNCT ajst-19175 59 1 under under ADP ajst-19175 59 2 the the DET ajst-19175 59 3 same same ADJ ajst-19175 59 4 sample sample NOUN ajst-19175 59 5 size size NOUN ajst-19175 59 6 , , PUNCT ajst-19175 59 7 a a DET ajst-19175 59 8 comparison comparison NOUN ajst-19175 59 9 is be AUX ajst-19175 59 10 made make VERB ajst-19175 59 11 between between ADP ajst-19175 59 12 the the DET ajst-19175 59 13 accuracy accuracy NOUN ajst-19175 59 14 of of ADP ajst-19175 59 15 the the DET ajst-19175 59 16 surrogate surrogate ADJ ajst-19175 59 17 model model NOUN ajst-19175 59 18 before before ADP ajst-19175 59 19 and and CCONJ ajst-19175 59 20 after after ADP ajst-19175 59 21 parallel parallel ADJ ajst-19175 59 22 augmentation augmentation NOUN ajst-19175 59 23 . . PUNCT ajst-19175 60 1 the the DET ajst-19175 60 2 effectiveness effectiveness NOUN ajst-19175 60 3 and and CCONJ ajst-19175 60 4 accuracy accuracy NOUN ajst-19175 60 5 of of ADP ajst-19175 60 6 the the DET ajst-19175 60 7 proposed propose VERB ajst-19175 60 8 method method NOUN ajst-19175 60 9 are be AUX ajst-19175 60 10 validated validate VERB ajst-19175 60 11 through through ADP ajst-19175 60 12 experimental experimental ADJ ajst-19175 60 13 results result NOUN ajst-19175 60 14 from from ADP ajst-19175 60 15 prototype prototype NOUN ajst-19175 60 16 testing testing NOUN ajst-19175 60 17 . . PUNCT ajst-19175 61 1 2 2 X ajst-19175 61 2 . . X ajst-19175 61 3 the the DET ajst-19175 61 4 optimization optimization NOUN ajst-19175 61 5 design design NOUN ajst-19175 61 6 method method NOUN ajst-19175 61 7 based base VERB ajst-19175 61 8 on on ADP ajst-19175 61 9 surrogate surrogate ADJ ajst-19175 61 10 models model NOUN ajst-19175 61 11 2.1 2.1 NUM ajst-19175 61 12 . . PUNCT ajst-19175 62 1 the the DET ajst-19175 62 2 description description NOUN ajst-19175 62 3 of of ADP ajst-19175 62 4 the the DET ajst-19175 62 5 optimization optimization NOUN ajst-19175 62 6 design design NOUN ajst-19175 62 7 problem problem NOUN ajst-19175 62 8 for for ADP ajst-19175 62 9 medium medium ADJ ajst-19175 62 10 - - PUNCT ajst-19175 62 11 voltage voltage NOUN ajst-19175 62 12 highfrequency highfrequency NOUN ajst-19175 62 13 transformers transformer VERB ajst-19175 62 14 the the DET ajst-19175 62 15 simplified simplified ADJ ajst-19175 62 16 mathematical mathematical ADJ ajst-19175 62 17 model model NOUN ajst-19175 62 18 for for ADP ajst-19175 62 19 the the DET ajst-19175 62 20 optimization optimization NOUN ajst-19175 62 21 of of ADP ajst-19175 62 22 medium medium ADJ ajst-19175 62 23 - - PUNCT ajst-19175 62 24 voltage voltage NOUN ajst-19175 62 25 high high ADJ ajst-19175 62 26 - - PUNCT ajst-19175 62 27 frequency frequency NOUN ajst-19175 62 28 transformers transformer NOUN ajst-19175 62 29 can can AUX ajst-19175 62 30 be be AUX ajst-19175 62 31 described describe VERB ajst-19175 62 32 as as ADP ajst-19175 62 33 follows follow VERB ajst-19175 62 34 : : PUNCT ajst-19175 62 35 π‘šπ‘–π‘› π‘šπ‘–π‘› NOUN ajst-19175 62 36 π‘Žπ‘“ π‘Žπ‘“ NOUN ajst-19175 62 37 π‘₯ π‘₯ INTJ ajst-19175 63 1 π‘πœ‘ π‘πœ‘ NOUN ajst-19175 63 2 π‘₯ π‘₯ NOUN ajst-19175 63 3 , , PUNCT ajst-19175 63 4 π‘₯ π‘₯ PROPN ajst-19175 64 1 π‘₯ π‘₯ X ajst-19175 64 2 π‘₯ π‘₯ X ajst-19175 64 3 𝑔 𝑔 NOUN ajst-19175 64 4 π‘₯ π‘₯ PROPN ajst-19175 64 5 0 0 NUM ajst-19175 64 6 , , PUNCT ajst-19175 64 7 𝑐 𝑐 NOUN ajst-19175 64 8 1,2 1,2 NUM ajst-19175 64 9 , , PUNCT ajst-19175 64 10 … … PUNCT ajst-19175 64 11 , , PUNCT ajst-19175 64 12 π‘˜ π‘˜ X ajst-19175 64 13 in in ADP ajst-19175 64 14 the the DET ajst-19175 64 15 formula formula NOUN ajst-19175 64 16 : : PUNCT ajst-19175 64 17 π‘₯ π‘₯ PRON ajst-19175 64 18 is be AUX ajst-19175 64 19 a a DET ajst-19175 64 20 vector vector NOUN ajst-19175 64 21 of of ADP ajst-19175 64 22 design design NOUN ajst-19175 64 23 variables variable NOUN ajst-19175 64 24 with with ADP ajst-19175 64 25 dimension dimension NOUN ajst-19175 64 26 ; ; PUNCT ajst-19175 64 27 π‘₯ π‘₯ X ajst-19175 64 28 and and CCONJ ajst-19175 64 29 π‘₯ π‘₯ PROPN ajst-19175 64 30 are be AUX ajst-19175 64 31 the the DET ajst-19175 64 32 lower low ADJ ajst-19175 64 33 and and CCONJ ajst-19175 64 34 upper upper ADJ ajst-19175 64 35 limits limit NOUN ajst-19175 64 36 of of ADP ajst-19175 64 37 the the DET ajst-19175 64 38 design design NOUN ajst-19175 64 39 variable variable ADJ ajst-19175 64 40 values value NOUN ajst-19175 64 41 ; ; PUNCT ajst-19175 64 42 𝑓 𝑓 PRON ajst-19175 64 43 and and CCONJ ajst-19175 64 44 πœ‘ πœ‘ PROPN ajst-19175 64 45 are be AUX ajst-19175 64 46 the the DET ajst-19175 64 47 objective objective ADJ ajst-19175 64 48 functions function NOUN ajst-19175 64 49 ; ; PUNCT ajst-19175 64 50 π‘Ž π‘Ž X ajst-19175 64 51 and and CCONJ ajst-19175 64 52 𝑏 𝑏 NOUN ajst-19175 64 53 are be AUX ajst-19175 64 54 the the DET ajst-19175 64 55 weights weight NOUN ajst-19175 64 56 of of ADP ajst-19175 64 57 the the DET ajst-19175 64 58 objective objective ADJ ajst-19175 64 59 functions function NOUN ajst-19175 64 60 ; ; PUNCT ajst-19175 64 61 𝑔 𝑔 PROPN ajst-19175 64 62 are be AUX ajst-19175 64 63 the the DET ajst-19175 64 64 constraint constraint NOUN ajst-19175 64 65 conditions condition NOUN ajst-19175 64 66 . . PUNCT ajst-19175 65 1 to to PART ajst-19175 65 2 reduce reduce VERB ajst-19175 65 3 computational computational ADJ ajst-19175 65 4 costs cost NOUN ajst-19175 65 5 and and CCONJ ajst-19175 65 6 improve improve VERB ajst-19175 65 7 optimization optimization NOUN ajst-19175 65 8 efficiency efficiency NOUN ajst-19175 65 9 , , PUNCT ajst-19175 65 10 surrogate surrogate ADJ ajst-19175 65 11 models model NOUN ajst-19175 65 12 are be AUX ajst-19175 65 13 often often ADV ajst-19175 65 14 used use VERB ajst-19175 65 15 in in ADP ajst-19175 65 16 place place NOUN ajst-19175 65 17 of of ADP ajst-19175 65 18 mathematical mathematical ADJ ajst-19175 65 19 models model NOUN ajst-19175 65 20 . . PUNCT ajst-19175 66 1 in in ADP ajst-19175 66 2 this this DET ajst-19175 66 3 context context NOUN ajst-19175 66 4 , , PUNCT ajst-19175 66 5 the the DET ajst-19175 66 6 optimization optimization NOUN ajst-19175 66 7 model model NOUN ajst-19175 66 8 can can AUX ajst-19175 66 9 be be AUX ajst-19175 66 10 described describe VERB ajst-19175 66 11 as as ADP ajst-19175 66 12 follows follow VERB ajst-19175 66 13 : : PUNCT ajst-19175 66 14 π‘šπ‘–π‘› π‘šπ‘–π‘› NOUN ajst-19175 66 15 π‘Žπ‘“ π‘Žπ‘“ NOUN ajst-19175 66 16 π‘₯ π‘₯ INTJ ajst-19175 67 1 π‘πœ‘ π‘πœ‘ NOUN ajst-19175 67 2 π‘₯ π‘₯ NOUN ajst-19175 67 3 , , PUNCT ajst-19175 67 4 π‘₯ π‘₯ PROPN ajst-19175 68 1 π‘₯ π‘₯ X ajst-19175 68 2 π‘₯ π‘₯ X ajst-19175 68 3 𝑔 𝑔 NOUN ajst-19175 68 4 π‘₯ π‘₯ PROPN ajst-19175 68 5 0 0 NUM ajst-19175 68 6 , , PUNCT ajst-19175 68 7 𝑐 𝑐 NOUN ajst-19175 68 8 1,2 1,2 NUM ajst-19175 68 9 , , PUNCT ajst-19175 68 10 … … PUNCT ajst-19175 68 11 , , PUNCT ajst-19175 68 12 π‘˜ π‘˜ X ajst-19175 68 13 in in ADP ajst-19175 68 14 the the DET ajst-19175 68 15 formula formula NOUN ajst-19175 68 16 : : PUNCT ajst-19175 69 1 f f PROPN ajst-19175 69 2 , , PUNCT ajst-19175 69 3 Ο† Ο† PROPN ajst-19175 69 4 , , PUNCT ajst-19175 69 5 and and CCONJ ajst-19175 69 6 g g NOUN ajst-19175 69 7 are be AUX ajst-19175 69 8 the the DET ajst-19175 69 9 approximate approximate ADJ ajst-19175 69 10 response response NOUN ajst-19175 69 11 values value NOUN ajst-19175 69 12 of of ADP ajst-19175 69 13 the the DET ajst-19175 69 14 surrogate surrogate ADJ ajst-19175 69 15 model model NOUN ajst-19175 69 16 . . PUNCT ajst-19175 70 1 when when SCONJ ajst-19175 70 2 optimizing optimize VERB ajst-19175 70 3 mathematical mathematical ADJ ajst-19175 70 4 models model NOUN ajst-19175 70 5 , , PUNCT ajst-19175 70 6 it it PRON ajst-19175 70 7 is be AUX ajst-19175 70 8 necessary necessary ADJ ajst-19175 70 9 to to PART ajst-19175 70 10 accurately accurately ADV ajst-19175 70 11 calculate calculate VERB ajst-19175 70 12 the the DET ajst-19175 70 13 objective objective ADJ ajst-19175 70 14 function function NOUN ajst-19175 70 15 for for ADP ajst-19175 70 16 each each DET ajst-19175 70 17 sample sample NOUN ajst-19175 70 18 , , PUNCT ajst-19175 70 19 which which PRON ajst-19175 70 20 requires require VERB ajst-19175 70 21 a a DET ajst-19175 70 22 large large ADJ ajst-19175 70 23 amount amount NOUN ajst-19175 70 24 of of ADP ajst-19175 70 25 computational computational ADJ ajst-19175 70 26 resources resource NOUN ajst-19175 70 27 and and CCONJ ajst-19175 70 28 a a DET ajst-19175 70 29 long long ADJ ajst-19175 70 30 calculation calculation NOUN ajst-19175 70 31 time time NOUN ajst-19175 70 32 . . PUNCT ajst-19175 71 1 however however ADV ajst-19175 71 2 , , PUNCT ajst-19175 71 3 surrogate surrogate ADJ ajst-19175 71 4 models model NOUN ajst-19175 71 5 do do AUX ajst-19175 71 6 not not PART ajst-19175 71 7 have have VERB ajst-19175 71 8 these these DET ajst-19175 71 9 issues issue NOUN ajst-19175 71 10 . . PUNCT ajst-19175 72 1 2.2 2.2 NUM ajst-19175 72 2 . . PUNCT ajst-19175 73 1 surrogate surrogate ADJ ajst-19175 73 2 modeling modeling NOUN ajst-19175 73 3 method method NOUN ajst-19175 73 4 surrogate surrogate ADJ ajst-19175 73 5 models model NOUN ajst-19175 73 6 primarily primarily ADV ajst-19175 73 7 achieve achieve VERB ajst-19175 73 8 the the DET ajst-19175 73 9 replacement replacement NOUN ajst-19175 73 10 of of ADP ajst-19175 73 11 complex complex ADJ ajst-19175 73 12 systems system NOUN ajst-19175 73 13 by by ADP ajst-19175 73 14 establishing establish VERB ajst-19175 73 15 mapping mapping NOUN ajst-19175 73 16 relationships relationship NOUN ajst-19175 73 17 between between ADP ajst-19175 73 18 sample sample NOUN ajst-19175 73 19 inputs input NOUN ajst-19175 73 20 and and CCONJ ajst-19175 73 21 output output NOUN ajst-19175 73 22 data datum NOUN ajst-19175 73 23 , , PUNCT ajst-19175 73 24 without without ADP ajst-19175 73 25 the the DET ajst-19175 73 26 need need NOUN ajst-19175 73 27 for for ADP ajst-19175 73 28 continuous continuous ADJ ajst-19175 73 29 and and CCONJ ajst-19175 73 30 complex complex ADJ ajst-19175 73 31 calculations calculation NOUN ajst-19175 73 32 on on ADP ajst-19175 73 33 the the DET ajst-19175 73 34 system system NOUN ajst-19175 73 35 . . PUNCT ajst-19175 74 1 the the DET ajst-19175 74 2 research research NOUN ajst-19175 74 3 directions direction NOUN ajst-19175 74 4 of of ADP ajst-19175 74 5 surrogate surrogate ADJ ajst-19175 74 6 models model NOUN ajst-19175 74 7 mainly mainly ADV ajst-19175 74 8 focus focus VERB ajst-19175 74 9 on on ADP ajst-19175 74 10 two two NUM ajst-19175 74 11 aspects aspect NOUN ajst-19175 74 12 : : PUNCT ajst-19175 74 13 one one NUM ajst-19175 74 14 is be AUX ajst-19175 74 15 the the DET ajst-19175 74 16 data datum NOUN ajst-19175 74 17 fitting fitting ADJ ajst-19175 74 18 methods method NOUN ajst-19175 74 19 of of ADP ajst-19175 74 20 surrogate surrogate ADJ ajst-19175 74 21 models model NOUN ajst-19175 74 22 , , PUNCT ajst-19175 74 23 such such ADJ ajst-19175 74 24 as as ADP ajst-19175 74 25 kriging krige VERB ajst-19175 74 26 models model NOUN ajst-19175 74 27 , , PUNCT ajst-19175 74 28 radial radial ADJ ajst-19175 74 29 basis basis NOUN ajst-19175 74 30 function function NOUN ajst-19175 74 31 models model NOUN ajst-19175 74 32 , , PUNCT ajst-19175 74 33 support support NOUN ajst-19175 74 34 vector vector NOUN ajst-19175 74 35 regression regression NOUN ajst-19175 74 36 models model NOUN ajst-19175 74 37 , , PUNCT ajst-19175 74 38 etc etc X ajst-19175 74 39 . . X ajst-19175 74 40 ; ; PUNCT ajst-19175 74 41 the the DET ajst-19175 74 42 other other ADJ ajst-19175 74 43 is be AUX ajst-19175 74 44 the the DET ajst-19175 74 45 selection selection NOUN ajst-19175 74 46 methods method NOUN ajst-19175 74 47 for for ADP ajst-19175 74 48 sample sample NOUN ajst-19175 74 49 data datum NOUN ajst-19175 74 50 of of ADP ajst-19175 74 51 surrogate surrogate ADJ ajst-19175 74 52 models model NOUN ajst-19175 74 53 , , PUNCT ajst-19175 74 54 such such ADJ ajst-19175 74 55 as as ADP ajst-19175 74 56 latin latin ADJ ajst-19175 74 57 hypercube hypercube NOUN ajst-19175 74 58 sampling sample VERB ajst-19175 74 59 , , PUNCT ajst-19175 74 60 orthogonal orthogonal ADJ ajst-19175 74 61 experimental experimental ADJ ajst-19175 74 62 design design NOUN ajst-19175 74 63 , , PUNCT ajst-19175 74 64 and and CCONJ ajst-19175 74 65 the the DET ajst-19175 74 66 criterion criterion NOUN ajst-19175 74 67 of of ADP ajst-19175 74 68 adding add VERB ajst-19175 74 69 points point NOUN ajst-19175 74 70 based base VERB ajst-19175 74 71 on on ADP ajst-19175 74 72 maximum maximum ADJ ajst-19175 74 73 expectation expectation NOUN ajst-19175 74 74 [ [ X ajst-19175 74 75 12 12 NUM ajst-19175 74 76 ] ] PUNCT ajst-19175 74 77 . . PUNCT ajst-19175 75 1 both both PRON ajst-19175 75 2 of of ADP ajst-19175 75 3 these these DET ajst-19175 75 4 aspects aspect NOUN ajst-19175 75 5 directly directly ADV ajst-19175 75 6 affect affect VERB ajst-19175 75 7 the the DET ajst-19175 75 8 accuracy accuracy NOUN ajst-19175 75 9 and and CCONJ ajst-19175 75 10 construction construction NOUN ajst-19175 75 11 speed speed NOUN ajst-19175 75 12 of of ADP ajst-19175 75 13 the the DET ajst-19175 75 14 surrogate surrogate ADJ ajst-19175 75 15 model model NOUN ajst-19175 75 16 . . PUNCT ajst-19175 76 1 unlike unlike ADP ajst-19175 76 2 other other ADJ ajst-19175 76 3 surrogate surrogate ADJ ajst-19175 76 4 models model NOUN ajst-19175 76 5 , , PUNCT ajst-19175 76 6 the the DET ajst-19175 76 7 kriging krige VERB ajst-19175 76 8 model model NOUN ajst-19175 76 9 only only ADV ajst-19175 76 10 requires require VERB ajst-19175 76 11 known know VERB ajst-19175 76 12 sample sample NOUN ajst-19175 76 13 data datum NOUN ajst-19175 76 14 and and CCONJ ajst-19175 76 15 a a DET ajst-19175 76 16 semi semi NOUN ajst-19175 76 17 - - NOUN ajst-19175 76 18 variogram variogram ADJ ajst-19175 76 19 , , PUNCT ajst-19175 76 20 without without ADP ajst-19175 76 21 the the DET ajst-19175 76 22 need need NOUN ajst-19175 76 23 for for ADP ajst-19175 76 24 additional additional ADJ ajst-19175 76 25 parameters parameter NOUN ajst-19175 76 26 or or CCONJ ajst-19175 76 27 information information NOUN ajst-19175 76 28 . . PUNCT ajst-19175 77 1 the the DET ajst-19175 77 2 model model NOUN ajst-19175 77 3 construction construction NOUN ajst-19175 77 4 is be AUX ajst-19175 77 5 relatively relatively ADV ajst-19175 77 6 simple simple ADJ ajst-19175 77 7 , , PUNCT ajst-19175 77 8 and and CCONJ ajst-19175 77 9 based base VERB ajst-19175 77 10 on on ADP ajst-19175 77 11 statistical statistical ADJ ajst-19175 77 12 principles principle NOUN ajst-19175 77 13 , , PUNCT ajst-19175 77 14 it it PRON ajst-19175 77 15 can can AUX ajst-19175 77 16 provide provide VERB ajst-19175 77 17 information information NOUN ajst-19175 77 18 such such ADJ ajst-19175 77 19 as as ADP ajst-19175 77 20 confidence confidence NOUN ajst-19175 77 21 intervals interval NOUN ajst-19175 77 22 and and CCONJ ajst-19175 77 23 variances variance NOUN ajst-19175 77 24 of of ADP ajst-19175 77 25 estimated estimate VERB ajst-19175 77 26 values value NOUN ajst-19175 77 27 . . PUNCT ajst-19175 78 1 therefore therefore ADV ajst-19175 78 2 , , PUNCT ajst-19175 78 3 this this DET ajst-19175 78 4 paper paper NOUN ajst-19175 78 5 adopts adopt VERB ajst-19175 78 6 the the DET ajst-19175 78 7 kriging krige VERB ajst-19175 78 8 method method NOUN ajst-19175 78 9 as as ADP ajst-19175 78 10 the the DET ajst-19175 78 11 fitting fitting ADJ ajst-19175 78 12 approach approach NOUN ajst-19175 78 13 for for ADP ajst-19175 78 14 the the DET ajst-19175 78 15 surrogate surrogate ADJ ajst-19175 78 16 model model NOUN ajst-19175 78 17 . . PUNCT ajst-19175 79 1 3 3 X ajst-19175 79 2 . . X ajst-19175 79 3 kriging krige VERB ajst-19175 79 4 surrogate surrogate ADJ ajst-19175 79 5 model model NOUN ajst-19175 79 6 based base VERB ajst-19175 79 7 on on ADP ajst-19175 79 8 parallel parallel ADJ ajst-19175 79 9 augmentation augmentation NOUN ajst-19175 79 10 3.1 3.1 NUM ajst-19175 79 11 . . PUNCT ajst-19175 80 1 latin latin ADJ ajst-19175 80 2 hypercube hypercube NOUN ajst-19175 80 3 sampling sample VERB ajst-19175 80 4 in in ADP ajst-19175 80 5 an an DET ajst-19175 80 6 n n ADV ajst-19175 80 7 - - PUNCT ajst-19175 80 8 dimensional dimensional ADJ ajst-19175 80 9 space space NOUN ajst-19175 80 10 , , PUNCT ajst-19175 80 11 each each DET ajst-19175 80 12 one one NUM ajst-19175 80 13 - - PUNCT ajst-19175 80 14 dimensional dimensional ADJ ajst-19175 80 15 coordinate coordinate NOUN ajst-19175 80 16 interval interval NOUN ajst-19175 80 17 is be AUX ajst-19175 80 18 divided divide VERB ajst-19175 80 19 into into ADP ajst-19175 80 20 m m PROPN ajst-19175 80 21 sub sub NOUN ajst-19175 80 22 - - NOUN ajst-19175 80 23 intervals interval NOUN ajst-19175 80 24 , , PUNCT ajst-19175 80 25 and and CCONJ ajst-19175 80 26 m m VERB ajst-19175 80 27 sampling sample VERB ajst-19175 80 28 points point NOUN ajst-19175 80 29 are be AUX ajst-19175 80 30 randomly randomly ADV ajst-19175 80 31 selected select VERB ajst-19175 80 32 from from ADP ajst-19175 80 33 all all DET ajst-19175 80 34 regions region NOUN ajst-19175 80 35 . . PUNCT ajst-19175 81 1 the the DET ajst-19175 81 2 selection selection NOUN ajst-19175 81 3 of of ADP ajst-19175 81 4 the the DET ajst-19175 81 5 sample sample NOUN ajst-19175 81 6 point point NOUN ajst-19175 81 7 x x VERB ajst-19175 81 8 is be AUX ajst-19175 81 9 as as SCONJ ajst-19175 81 10 follows follow VERB ajst-19175 81 11 : : PUNCT ajst-19175 81 12 𝑋 𝑋 NOUN ajst-19175 81 13 π‘Ÿ π‘Ÿ NOUN ajst-19175 81 14 𝑗 𝑗 INTJ ajst-19175 81 15 π‘ˆ π‘ˆ PROPN ajst-19175 81 16 0,1 0,1 NUM ajst-19175 81 17 π‘š π‘š NOUN ajst-19175 81 18 , , PUNCT ajst-19175 81 19 1 1 NUM ajst-19175 81 20 𝑖 𝑖 SYM ajst-19175 81 21 π‘š π‘š NOUN ajst-19175 81 22 , , PUNCT ajst-19175 81 23 1 1 NUM ajst-19175 81 24 𝑗 𝑗 NOUN ajst-19175 81 25 𝑛 𝑛 NOUN ajst-19175 81 26 in in ADP ajst-19175 81 27 the the DET ajst-19175 81 28 formula formula NOUN ajst-19175 81 29 : : PUNCT ajst-19175 81 30 π‘Ÿ π‘Ÿ NOUN ajst-19175 81 31 𝑗 𝑗 INTJ ajst-19175 81 32 represents represent VERB ajst-19175 81 33 the the DET ajst-19175 81 34 maximum maximum ADJ ajst-19175 81 35 value value NOUN ajst-19175 81 36 of of ADP ajst-19175 81 37 the the DET ajst-19175 81 38 188 188 NUM ajst-19175 81 39 ith ith NOUN ajst-19175 81 40 interval interval NOUN ajst-19175 81 41 after after ADP ajst-19175 81 42 normalization normalization NOUN ajst-19175 81 43 in in ADP ajst-19175 81 44 the the DET ajst-19175 81 45 jth jth PROPN ajst-19175 81 46 dimension dimension NOUN ajst-19175 81 47 ; ; PUNCT ajst-19175 81 48 π‘ˆ π‘ˆ PROPN ajst-19175 81 49 0,1 0,1 NUM ajst-19175 81 50 is be AUX ajst-19175 81 51 a a DET ajst-19175 81 52 random random ADJ ajst-19175 81 53 number number NOUN ajst-19175 81 54 between between ADP ajst-19175 81 55 0,1 0,1 NUM ajst-19175 81 56 . . PUNCT ajst-19175 82 1 considering consider VERB ajst-19175 82 2 the the DET ajst-19175 82 3 advantages advantage NOUN ajst-19175 82 4 of of ADP ajst-19175 82 5 latin latin ADJ ajst-19175 82 6 hypercube hypercube NOUN ajst-19175 82 7 sampling sampling NOUN ajst-19175 82 8 , , PUNCT ajst-19175 82 9 such such ADJ ajst-19175 82 10 as as ADP ajst-19175 82 11 high high ADJ ajst-19175 82 12 sampling sampling NOUN ajst-19175 82 13 rate rate NOUN ajst-19175 82 14 and and CCONJ ajst-19175 82 15 good good ADJ ajst-19175 82 16 uniformity uniformity NOUN ajst-19175 82 17 , , PUNCT ajst-19175 82 18 10 10 NUM ajst-19175 82 19 initial initial ADJ ajst-19175 82 20 sampling sampling NOUN ajst-19175 82 21 points point NOUN ajst-19175 82 22 for for ADP ajst-19175 82 23 the the DET ajst-19175 82 24 surrogate surrogate ADJ ajst-19175 82 25 model model NOUN ajst-19175 82 26 are be AUX ajst-19175 82 27 configured configure VERB ajst-19175 82 28 using use VERB ajst-19175 82 29 latin latin ADJ ajst-19175 82 30 hypercube hypercube NOUN ajst-19175 82 31 sampling sampling NOUN ajst-19175 82 32 , , PUNCT ajst-19175 82 33 and and CCONJ ajst-19175 82 34 an an DET ajst-19175 82 35 additional additional ADJ ajst-19175 82 36 10 10 NUM ajst-19175 82 37 sampling sampling NOUN ajst-19175 82 38 points point NOUN ajst-19175 82 39 are be AUX ajst-19175 82 40 generated generate VERB ajst-19175 82 41 to to PART ajst-19175 82 42 verify verify VERB ajst-19175 82 43 the the DET ajst-19175 82 44 accuracy accuracy NOUN ajst-19175 82 45 of of ADP ajst-19175 82 46 the the DET ajst-19175 82 47 surrogate surrogate ADJ ajst-19175 82 48 model model NOUN ajst-19175 82 49 . . PUNCT ajst-19175 83 1 3.2 3.2 NUM ajst-19175 83 2 . . X ajst-19175 83 3 kriging krige VERB ajst-19175 83 4 surrogate surrogate ADJ ajst-19175 83 5 model model NOUN ajst-19175 83 6 the the DET ajst-19175 83 7 kriging krige VERB ajst-19175 83 8 surrogate surrogate ADJ ajst-19175 83 9 model model NOUN ajst-19175 83 10 can can AUX ajst-19175 83 11 be be AUX ajst-19175 83 12 represented represent VERB ajst-19175 83 13 by by ADP ajst-19175 83 14 the the DET ajst-19175 83 15 following follow VERB ajst-19175 83 16 equation equation NOUN ajst-19175 83 17 : : PUNCT ajst-19175 83 18 y y PROPN ajst-19175 83 19 f f PROPN ajst-19175 83 20 x x X ajst-19175 83 21 βˆ™ βˆ™ PROPN ajst-19175 83 22 Ο† Ο† PROPN ajst-19175 83 23 z z PROPN ajst-19175 83 24 x x VERB ajst-19175 83 25 in in ADP ajst-19175 83 26 the the DET ajst-19175 83 27 formula formula NOUN ajst-19175 83 28 : : PUNCT ajst-19175 83 29 f f NOUN ajst-19175 84 1 x x PUNCT ajst-19175 84 2 represents represent VERB ajst-19175 84 3 the the DET ajst-19175 84 4 regression regression NOUN ajst-19175 84 5 function function NOUN ajst-19175 84 6 of of ADP ajst-19175 84 7 x x PRON ajst-19175 84 8 , , PUNCT ajst-19175 84 9 providing provide VERB ajst-19175 84 10 a a DET ajst-19175 84 11 global global ADJ ajst-19175 84 12 approximation approximation NOUN ajst-19175 84 13 model model NOUN ajst-19175 84 14 in in ADP ajst-19175 84 15 the the DET ajst-19175 84 16 design design NOUN ajst-19175 84 17 space space NOUN ajst-19175 84 18 ; ; PUNCT ajst-19175 84 19 Ο† Ο† PROPN ajst-19175 84 20 are be AUX ajst-19175 84 21 the the DET ajst-19175 84 22 undetermined undetermined ADJ ajst-19175 84 23 coefficients coefficient NOUN ajst-19175 84 24 of of ADP ajst-19175 84 25 the the DET ajst-19175 84 26 regression regression NOUN ajst-19175 84 27 function function NOUN ajst-19175 84 28 ; ; PUNCT ajst-19175 84 29 z z NOUN ajst-19175 84 30 x x PUNCT ajst-19175 84 31 is be AUX ajst-19175 84 32 a a DET ajst-19175 84 33 random random ADJ ajst-19175 84 34 process process NOUN ajst-19175 84 35 representing represent VERB ajst-19175 84 36 the the DET ajst-19175 84 37 local local ADJ ajst-19175 84 38 deviation deviation NOUN ajst-19175 84 39 based base VERB ajst-19175 84 40 on on ADP ajst-19175 84 41 the the DET ajst-19175 84 42 global global ADJ ajst-19175 84 43 simulation simulation NOUN ajst-19175 84 44 , , PUNCT ajst-19175 84 45 with with ADP ajst-19175 84 46 an an DET ajst-19175 84 47 expected expect VERB ajst-19175 84 48 value value NOUN ajst-19175 84 49 of of ADP ajst-19175 84 50 0 0 NUM ajst-19175 84 51 , , PUNCT ajst-19175 84 52 a a DET ajst-19175 84 53 variance variance NOUN ajst-19175 84 54 of of ADP ajst-19175 84 55 Οƒ Οƒ PROPN ajst-19175 84 56 , , PUNCT ajst-19175 84 57 and and CCONJ ajst-19175 84 58 a a DET ajst-19175 84 59 covariance covariance NOUN ajst-19175 84 60 : : PUNCT ajst-19175 84 61 cov cov PROPN ajst-19175 84 62 z z PROPN ajst-19175 84 63 x x INTJ ajst-19175 84 64 , , PUNCT ajst-19175 84 65 z z NOUN ajst-19175 84 66 x x PUNCT ajst-19175 84 67 Οƒ Οƒ NUM ajst-19175 84 68 r r NOUN ajst-19175 84 69 x x X ajst-19175 84 70 , , PUNCT ajst-19175 84 71 x x X ajst-19175 84 72 in in ADP ajst-19175 84 73 the the DET ajst-19175 84 74 formula formula NOUN ajst-19175 84 75 : : PUNCT ajst-19175 84 76 𝑅 𝑅 PROPN ajst-19175 84 77 π‘₯ π‘₯ PROPN ajst-19175 84 78 , , PUNCT ajst-19175 84 79 π‘₯ π‘₯ PROPN ajst-19175 84 80 represents represent VERB ajst-19175 84 81 the the DET ajst-19175 84 82 variogram variogram NOUN ajst-19175 84 83 between between ADP ajst-19175 84 84 any any DET ajst-19175 84 85 two two NUM ajst-19175 84 86 sample sample NOUN ajst-19175 84 87 points point NOUN ajst-19175 84 88 , , PUNCT ajst-19175 84 89 and and CCONJ ajst-19175 84 90 common common ADJ ajst-19175 84 91 variograms variogram NOUN ajst-19175 84 92 include include VERB ajst-19175 84 93 cubic cubic ADJ ajst-19175 84 94 function function NOUN ajst-19175 84 95 , , PUNCT ajst-19175 84 96 gaussian gaussian ADJ ajst-19175 84 97 function function NOUN ajst-19175 84 98 , , PUNCT ajst-19175 84 99 linear linear ADJ ajst-19175 84 100 function function NOUN ajst-19175 84 101 , , PUNCT ajst-19175 84 102 spherical spherical ADJ ajst-19175 84 103 function function NOUN ajst-19175 84 104 , , PUNCT ajst-19175 84 105 etc etc X ajst-19175 84 106 . . X ajst-19175 84 107 using use VERB ajst-19175 84 108 the the DET ajst-19175 84 109 generalized generalized ADJ ajst-19175 84 110 least least ADJ ajst-19175 84 111 squares square NOUN ajst-19175 84 112 estimation estimation NOUN ajst-19175 84 113 method method NOUN ajst-19175 84 114 , , PUNCT ajst-19175 84 115 the the DET ajst-19175 84 116 estimated estimate VERB ajst-19175 84 117 value value NOUN ajst-19175 84 118 of of ADP ajst-19175 84 119 πœ‘ πœ‘ NOUN ajst-19175 84 120 can can AUX ajst-19175 84 121 be be AUX ajst-19175 84 122 obtained obtain VERB ajst-19175 84 123 . . PUNCT ajst-19175 85 1 Ο† Ο† PROPN ajst-19175 85 2 x x PUNCT ajst-19175 86 1 r r NOUN ajst-19175 86 2 x x PUNCT ajst-19175 86 3 x x SYM ajst-19175 86 4 r r NOUN ajst-19175 86 5 y y PROPN ajst-19175 86 6 in in ADP ajst-19175 86 7 the the DET ajst-19175 86 8 formula formula NOUN ajst-19175 86 9 : : PUNCT ajst-19175 86 10 x x X ajst-19175 86 11 is be AUX ajst-19175 86 12 the the DET ajst-19175 86 13 coefficient coefficient NOUN ajst-19175 86 14 matrix matrix NOUN ajst-19175 86 15 of of ADP ajst-19175 86 16 the the DET ajst-19175 86 17 sample sample NOUN ajst-19175 86 18 points point NOUN ajst-19175 86 19 , , PUNCT ajst-19175 86 20 y y PROPN ajst-19175 86 21 is be AUX ajst-19175 86 22 the the DET ajst-19175 86 23 response response NOUN ajst-19175 86 24 matrix matrix NOUN ajst-19175 86 25 corresponding correspond VERB ajst-19175 86 26 to to ADP ajst-19175 86 27 the the DET ajst-19175 86 28 sample sample NOUN ajst-19175 86 29 points point NOUN ajst-19175 86 30 , , PUNCT ajst-19175 86 31 and and CCONJ ajst-19175 86 32 Οƒ Οƒ PROPN ajst-19175 86 33 is be AUX ajst-19175 86 34 the the DET ajst-19175 86 35 estimated estimate VERB ajst-19175 86 36 value value NOUN ajst-19175 86 37 of of ADP ajst-19175 86 38 . . PUNCT ajst-19175 87 1 Οƒ Οƒ NOUN ajst-19175 87 2 1 1 NUM ajst-19175 87 3 n n NUM ajst-19175 87 4 y y NOUN ajst-19175 88 1 xΟ† xΟ† PROPN ajst-19175 89 1 r r NOUN ajst-19175 89 2 y y PROPN ajst-19175 89 3 xΟ† xΟ† PROPN ajst-19175 89 4 in in ADP ajst-19175 89 5 the the DET ajst-19175 89 6 formula formula NOUN ajst-19175 89 7 : : PUNCT ajst-19175 89 8 n n PRON ajst-19175 89 9 represents represent VERB ajst-19175 89 10 the the DET ajst-19175 89 11 number number NOUN ajst-19175 89 12 of of ADP ajst-19175 89 13 sample sample NOUN ajst-19175 89 14 points point NOUN ajst-19175 89 15 . . PUNCT ajst-19175 90 1 based base VERB ajst-19175 90 2 on on ADP ajst-19175 90 3 the the DET ajst-19175 90 4 above above ADJ ajst-19175 90 5 model model NOUN ajst-19175 90 6 parameters parameter NOUN ajst-19175 90 7 , , PUNCT ajst-19175 90 8 the the DET ajst-19175 90 9 predicted predict VERB ajst-19175 90 10 response response NOUN ajst-19175 90 11 value value NOUN ajst-19175 90 12 and and CCONJ ajst-19175 90 13 predicted predict VERB ajst-19175 90 14 standard standard ADJ ajst-19175 90 15 deviation deviation NOUN ajst-19175 90 16 at at ADP ajst-19175 90 17 the the DET ajst-19175 90 18 prediction prediction NOUN ajst-19175 90 19 point point NOUN ajst-19175 90 20 can can AUX ajst-19175 90 21 be be AUX ajst-19175 90 22 obtained obtain VERB ajst-19175 90 23 as as SCONJ ajst-19175 90 24 follows follow VERB ajst-19175 90 25 : : PUNCT ajst-19175 90 26 y y PROPN ajst-19175 90 27 x x SYM ajst-19175 91 1 f f PROPN ajst-19175 91 2 x x SYM ajst-19175 91 3 Ο† Ο† PROPN ajst-19175 91 4 r r NOUN ajst-19175 91 5 x x SYM ajst-19175 91 6 r r NOUN ajst-19175 91 7 y y PROPN ajst-19175 91 8 xΟ† xΟ† PROPN ajst-19175 91 9 s s PROPN ajst-19175 91 10 x x PROPN ajst-19175 91 11 Οƒ Οƒ PROPN ajst-19175 91 12 1 1 NUM ajst-19175 91 13 r r NOUN ajst-19175 91 14 x x NOUN ajst-19175 91 15 r r NOUN ajst-19175 91 16 r r NOUN ajst-19175 91 17 x x SYM ajst-19175 91 18 1 1 NUM ajst-19175 91 19 xr xr NOUN ajst-19175 91 20 r r NOUN ajst-19175 91 21 x x PUNCT ajst-19175 91 22 x x PUNCT ajst-19175 91 23 r r NOUN ajst-19175 91 24 x x NOUN ajst-19175 91 25 in in ADP ajst-19175 91 26 the the DET ajst-19175 91 27 formula formula NOUN ajst-19175 91 28 : : PUNCT ajst-19175 91 29 r r NOUN ajst-19175 91 30 x x NOUN ajst-19175 91 31 is be AUX ajst-19175 91 32 the the DET ajst-19175 91 33 correlation correlation NOUN ajst-19175 91 34 matrix matrix NOUN ajst-19175 91 35 between between ADP ajst-19175 91 36 the the DET ajst-19175 91 37 sample sample NOUN ajst-19175 91 38 points point NOUN ajst-19175 91 39 and and CCONJ ajst-19175 91 40 the the DET ajst-19175 91 41 prediction prediction NOUN ajst-19175 91 42 point point NOUN ajst-19175 91 43 . . PUNCT ajst-19175 92 1 3.3 3.3 NUM ajst-19175 92 2 . . PUNCT ajst-19175 93 1 parallel parallel ADJ ajst-19175 93 2 augmentation augmentation NOUN ajst-19175 93 3 strategy strategy NOUN ajst-19175 93 4 due due ADP ajst-19175 93 5 to to ADP ajst-19175 93 6 the the DET ajst-19175 93 7 randomness randomness NOUN ajst-19175 93 8 of of ADP ajst-19175 93 9 latin latin ADJ ajst-19175 93 10 hypercube hypercube NOUN ajst-19175 93 11 sampling sampling NOUN ajst-19175 93 12 , , PUNCT ajst-19175 93 13 a a DET ajst-19175 93 14 large large ADJ ajst-19175 93 15 number number NOUN ajst-19175 93 16 of of ADP ajst-19175 93 17 sample sample NOUN ajst-19175 93 18 points point NOUN ajst-19175 93 19 are be AUX ajst-19175 93 20 required require VERB ajst-19175 93 21 for for SCONJ ajst-19175 93 22 the the DET ajst-19175 93 23 surrogate surrogate ADJ ajst-19175 93 24 model model NOUN ajst-19175 93 25 to to PART ajst-19175 93 26 achieve achieve VERB ajst-19175 93 27 the the DET ajst-19175 93 28 desired desire VERB ajst-19175 93 29 fitting fitting ADJ ajst-19175 93 30 accuracy accuracy NOUN ajst-19175 93 31 . . PUNCT ajst-19175 94 1 selecting select VERB ajst-19175 94 2 sample sample NOUN ajst-19175 94 3 points point NOUN ajst-19175 94 4 based base VERB ajst-19175 94 5 on on ADP ajst-19175 94 6 augmentation augmentation NOUN ajst-19175 94 7 criteria criterion NOUN ajst-19175 94 8 can can AUX ajst-19175 94 9 improve improve VERB ajst-19175 94 10 modeling model VERB ajst-19175 94 11 efficiency efficiency NOUN ajst-19175 94 12 to to ADP ajst-19175 94 13 a a DET ajst-19175 94 14 certain certain ADJ ajst-19175 94 15 extent extent NOUN ajst-19175 94 16 . . PUNCT ajst-19175 95 1 the the DET ajst-19175 95 2 expected expect VERB ajst-19175 95 3 improvement improvement NOUN ajst-19175 95 4 ( ( PUNCT ajst-19175 95 5 ei ei NOUN ajst-19175 95 6 ) ) PUNCT ajst-19175 95 7 criterion criterion NOUN ajst-19175 95 8 is be AUX ajst-19175 95 9 an an DET ajst-19175 95 10 effective effective ADJ ajst-19175 95 11 global global ADJ ajst-19175 95 12 augmentation augmentation NOUN ajst-19175 95 13 method method NOUN ajst-19175 95 14 . . PUNCT ajst-19175 96 1 it it PRON ajst-19175 96 2 assumes assume VERB ajst-19175 96 3 that that SCONJ ajst-19175 96 4 the the DET ajst-19175 96 5 values value NOUN ajst-19175 96 6 of of ADP ajst-19175 96 7 the the DET ajst-19175 96 8 untested untested ADJ ajst-19175 96 9 points point NOUN ajst-19175 96 10 of of ADP ajst-19175 96 11 the the DET ajst-19175 96 12 objective objective ADJ ajst-19175 96 13 function function NOUN ajst-19175 96 14 follow follow VERB ajst-19175 96 15 a a DET ajst-19175 96 16 normal normal ADJ ajst-19175 96 17 distribution distribution NOUN ajst-19175 96 18 , , PUNCT ajst-19175 96 19 i.e. i.e. X ajst-19175 96 20 , , PUNCT ajst-19175 96 21 π‘Œ~𝑁 π‘Œ~𝑁 X ajst-19175 96 22 𝑦 𝑦 NOUN ajst-19175 96 23 π‘₯ π‘₯ X ajst-19175 96 24 , , PUNCT ajst-19175 96 25 𝑠 𝑠 INTJ ajst-19175 96 26 π‘₯ π‘₯ PROPN ajst-19175 96 27 is be AUX ajst-19175 96 28 the the DET ajst-19175 96 29 predicted predict VERB ajst-19175 96 30 response response NOUN ajst-19175 96 31 value value NOUN ajst-19175 96 32 of of ADP ajst-19175 96 33 the the DET ajst-19175 96 34 kriging krige VERB ajst-19175 96 35 model model NOUN ajst-19175 96 36 , , PUNCT ajst-19175 96 37 s s PART ajst-19175 96 38 x x NOUN ajst-19175 96 39 is be AUX ajst-19175 96 40 the the DET ajst-19175 96 41 predicted predict VERB ajst-19175 96 42 variance variance NOUN ajst-19175 96 43 , , PUNCT ajst-19175 96 44 and and CCONJ ajst-19175 96 45 y y PROPN ajst-19175 96 46 is be AUX ajst-19175 96 47 the the DET ajst-19175 96 48 current current ADJ ajst-19175 96 49 optimal optimal ADJ ajst-19175 96 50 value value NOUN ajst-19175 96 51 of of ADP ajst-19175 96 52 the the DET ajst-19175 96 53 model model NOUN ajst-19175 96 54 . . PUNCT ajst-19175 97 1 then then ADV ajst-19175 97 2 , , PUNCT ajst-19175 97 3 the the DET ajst-19175 97 4 new new ADJ ajst-19175 97 5 sample sample NOUN ajst-19175 97 6 point point NOUN ajst-19175 97 7 can can AUX ajst-19175 97 8 be be AUX ajst-19175 97 9 determined determine VERB ajst-19175 97 10 as as SCONJ ajst-19175 97 11 follows follow VERB ajst-19175 97 12 : : PUNCT ajst-19175 97 13 e e X ajst-19175 97 14 i i NOUN ajst-19175 97 15 x x PROPN ajst-19175 97 16 y y VERB ajst-19175 97 17 y y PROPN ajst-19175 97 18 x x PROPN ajst-19175 98 1 Ο† Ο† PROPN ajst-19175 98 2 y y PROPN ajst-19175 98 3 y y PROPN ajst-19175 98 4 x x SYM ajst-19175 98 5 s s PROPN ajst-19175 98 6 x x X ajst-19175 98 7 s s NOUN ajst-19175 98 8 x x X ajst-19175 98 9 ψ ψ X ajst-19175 98 10 y y PROPN ajst-19175 98 11 y y PROPN ajst-19175 98 12 x x SYM ajst-19175 98 13 s s VERB ajst-19175 98 14 x x VERB ajst-19175 98 15 in in ADP ajst-19175 98 16 the the DET ajst-19175 98 17 formula formula NOUN ajst-19175 98 18 : : PUNCT ajst-19175 98 19 Ο† Ο† PROPN ajst-19175 98 20 βˆ™ βˆ™ PROPN ajst-19175 98 21 is be AUX ajst-19175 98 22 the the DET ajst-19175 98 23 cumulative cumulative ADJ ajst-19175 98 24 distribution distribution NOUN ajst-19175 98 25 function function NOUN ajst-19175 98 26 of of ADP ajst-19175 98 27 the the DET ajst-19175 98 28 standard standard ADJ ajst-19175 98 29 normal normal ADJ ajst-19175 98 30 distribution distribution NOUN ajst-19175 98 31 , , PUNCT ajst-19175 98 32 and and CCONJ ajst-19175 98 33 ψ ψ X ajst-19175 98 34 βˆ™ βˆ™ PROPN ajst-19175 98 35 is be AUX ajst-19175 98 36 the the DET ajst-19175 98 37 probability probability NOUN ajst-19175 98 38 density density NOUN ajst-19175 98 39 function function NOUN ajst-19175 98 40 of of ADP ajst-19175 98 41 the the DET ajst-19175 98 42 standard standard ADJ ajst-19175 98 43 normal normal ADJ ajst-19175 98 44 distribution distribution NOUN ajst-19175 98 45 . . PUNCT ajst-19175 99 1 the the DET ajst-19175 99 2 expected expect VERB ajst-19175 99 3 improvement improvement NOUN ajst-19175 99 4 ( ( PUNCT ajst-19175 99 5 ei ei NOUN ajst-19175 99 6 ) ) PUNCT ajst-19175 99 7 augmentation augmentation NOUN ajst-19175 99 8 method method NOUN ajst-19175 99 9 searches search NOUN ajst-19175 99 10 for for ADP ajst-19175 99 11 the the DET ajst-19175 99 12 sample sample NOUN ajst-19175 99 13 point point NOUN ajst-19175 99 14 with with ADP ajst-19175 99 15 the the DET ajst-19175 99 16 largest large ADJ ajst-19175 99 17 variance variance NOUN ajst-19175 99 18 , , PUNCT ajst-19175 99 19 which which PRON ajst-19175 99 20 exhibits exhibit VERB ajst-19175 99 21 strong strong ADJ ajst-19175 99 22 global global ADJ ajst-19175 99 23 search search NOUN ajst-19175 99 24 capabilities capability NOUN ajst-19175 99 25 but but CCONJ ajst-19175 99 26 slow slow ADJ ajst-19175 99 27 convergence convergence NOUN ajst-19175 99 28 of of ADP ajst-19175 99 29 model model NOUN ajst-19175 99 30 accuracy accuracy NOUN ajst-19175 99 31 and and CCONJ ajst-19175 99 32 weak weak ADJ ajst-19175 99 33 local local ADJ ajst-19175 99 34 search search NOUN ajst-19175 99 35 capabilities capability NOUN ajst-19175 99 36 . . PUNCT ajst-19175 100 1 in in ADP ajst-19175 100 2 this this DET ajst-19175 100 3 paper paper NOUN ajst-19175 100 4 , , PUNCT ajst-19175 100 5 the the DET ajst-19175 100 6 historical historical ADJ ajst-19175 100 7 optimal optimal ADJ ajst-19175 100 8 augmentation augmentation NOUN ajst-19175 100 9 criterion criterion NOUN ajst-19175 100 10 is be AUX ajst-19175 100 11 introduced introduce VERB ajst-19175 100 12 , , PUNCT ajst-19175 100 13 and and CCONJ ajst-19175 100 14 the the DET ajst-19175 100 15 new new ADJ ajst-19175 100 16 sample sample NOUN ajst-19175 100 17 point point NOUN ajst-19175 100 18 is be AUX ajst-19175 100 19 determined determine VERB ajst-19175 100 20 as as SCONJ ajst-19175 100 21 follows follow VERB ajst-19175 100 22 : : PUNCT ajst-19175 100 23 f f NOUN ajst-19175 100 24 x x PUNCT ajst-19175 100 25 Ξ± Ξ± X ajst-19175 100 26 y y PROPN ajst-19175 100 27 1 1 NUM ajst-19175 100 28 Ξ± Ξ± NOUN ajst-19175 100 29 y y PROPN ajst-19175 100 30 2 2 NUM ajst-19175 100 31 β‹― β‹― ADP ajst-19175 100 32 Ξ± Ξ± NOUN ajst-19175 100 33 y y PROPN ajst-19175 100 34 k k PROPN ajst-19175 100 35 in in ADP ajst-19175 100 36 the the DET ajst-19175 100 37 formula formula NOUN ajst-19175 100 38 : : PUNCT ajst-19175 100 39 Ξ± Ξ± PRON ajst-19175 100 40 is be AUX ajst-19175 100 41 the the DET ajst-19175 100 42 weight weight NOUN ajst-19175 100 43 coefficient coefficient NOUN ajst-19175 100 44 , , PUNCT ajst-19175 100 45 andΞ± andΞ± PROPN ajst-19175 100 46 Ξ± Ξ± X ajst-19175 100 47 β‹― β‹― PROPN ajst-19175 100 48 Ξ± Ξ± PROPN ajst-19175 100 49 1 1 NUM ajst-19175 100 50 ; ; PUNCT ajst-19175 100 51 y y PROPN ajst-19175 100 52 k k PROPN ajst-19175 100 53 is be AUX ajst-19175 100 54 the the DET ajst-19175 100 55 optimal optimal ADJ ajst-19175 100 56 value value NOUN ajst-19175 100 57 of of ADP ajst-19175 100 58 the the DET ajst-19175 100 59 surrogate surrogate ADJ ajst-19175 100 60 model model NOUN ajst-19175 100 61 during during ADP ajst-19175 100 62 the the DET ajst-19175 100 63 kth kth PROPN ajst-19175 100 64 fitting fitting ADJ ajst-19175 100 65 iteration iteration NOUN ajst-19175 100 66 . . PUNCT ajst-19175 101 1 in in ADP ajst-19175 101 2 this this DET ajst-19175 101 3 paper paper NOUN ajst-19175 101 4 , , PUNCT ajst-19175 101 5 two two NUM ajst-19175 101 6 augmentation augmentation NOUN ajst-19175 101 7 criteria criterion NOUN ajst-19175 101 8 are be AUX ajst-19175 101 9 processed process VERB ajst-19175 101 10 in in ADP ajst-19175 101 11 parallel parallel NOUN ajst-19175 101 12 during during ADP ajst-19175 101 13 the the DET ajst-19175 101 14 modeling modeling NOUN ajst-19175 101 15 process process NOUN ajst-19175 101 16 . . PUNCT ajst-19175 102 1 the the DET ajst-19175 102 2 historical historical ADJ ajst-19175 102 3 optimal optimal ADJ ajst-19175 102 4 augmentation augmentation NOUN ajst-19175 102 5 method method NOUN ajst-19175 102 6 enhances enhance VERB ajst-19175 102 7 the the DET ajst-19175 102 8 local local ADJ ajst-19175 102 9 search search NOUN ajst-19175 102 10 capability capability NOUN ajst-19175 102 11 of of ADP ajst-19175 102 12 the the DET ajst-19175 102 13 sample sample NOUN ajst-19175 102 14 points point NOUN ajst-19175 102 15 , , PUNCT ajst-19175 102 16 complementing complement VERB ajst-19175 102 17 the the DET ajst-19175 102 18 global global ADJ ajst-19175 102 19 search search NOUN ajst-19175 102 20 capability capability NOUN ajst-19175 102 21 of of ADP ajst-19175 102 22 the the DET ajst-19175 102 23 expected expect VERB ajst-19175 102 24 improvement improvement NOUN ajst-19175 102 25 criterion criterion NOUN ajst-19175 102 26 . . PUNCT ajst-19175 103 1 the the DET ajst-19175 103 2 basic basic ADJ ajst-19175 103 3 flowchart flowchart NOUN ajst-19175 103 4 of of ADP ajst-19175 103 5 the the DET ajst-19175 103 6 parallel parallel ADJ ajst-19175 103 7 augmentation augmentation NOUN ajst-19175 103 8 strategy strategy NOUN ajst-19175 103 9 is be AUX ajst-19175 103 10 shown show VERB ajst-19175 103 11 in in ADP ajst-19175 103 12 figure figure NOUN ajst-19175 103 13 1 1 NUM ajst-19175 103 14 . . PUNCT ajst-19175 103 15 figure figure NOUN ajst-19175 103 16 1 1 NUM ajst-19175 103 17 . . PUNCT ajst-19175 104 1 flowchart flowchart PROPN ajst-19175 104 2 3.4 3.4 NUM ajst-19175 104 3 . . PUNCT ajst-19175 105 1 convergence convergence NOUN ajst-19175 105 2 criterion criterion NOUN ajst-19175 105 3 assuming assume VERB ajst-19175 105 4 that that SCONJ ajst-19175 105 5 the the DET ajst-19175 105 6 number number NOUN ajst-19175 105 7 of of ADP ajst-19175 105 8 test test NOUN ajst-19175 105 9 sample sample NOUN ajst-19175 105 10 points point NOUN ajst-19175 105 11 required require VERB ajst-19175 105 12 for for ADP ajst-19175 105 13 the the DET ajst-19175 105 14 surrogate surrogate ADJ ajst-19175 105 15 model model NOUN ajst-19175 105 16 is be AUX ajst-19175 105 17 n n PRON ajst-19175 105 18 the the DET ajst-19175 105 19 true true ADJ ajst-19175 105 20 value value NOUN ajst-19175 105 21 of of ADP ajst-19175 105 22 the the DET ajst-19175 105 23 test test NOUN ajst-19175 105 24 points point NOUN ajst-19175 105 25 is be AUX ajst-19175 105 26 y y PROPN ajst-19175 105 27 x x SYM ajst-19175 105 28 , , PUNCT ajst-19175 105 29 the the DET ajst-19175 105 30 average average ADJ ajst-19175 105 31 value value NOUN ajst-19175 105 32 of of ADP ajst-19175 105 33 the the DET ajst-19175 105 34 true true ADJ ajst-19175 105 35 values value NOUN ajst-19175 105 36 is be AUX ajst-19175 105 37 y y PROPN ajst-19175 105 38 x x PUNCT ajst-19175 105 39 , , PUNCT ajst-19175 105 40 and and CCONJ ajst-19175 105 41 the the DET ajst-19175 105 42 predicted predict VERB ajst-19175 105 43 value value NOUN ajst-19175 105 44 of of ADP ajst-19175 105 45 the the DET ajst-19175 105 46 surrogate surrogate ADJ ajst-19175 105 47 model model NOUN ajst-19175 105 48 is be AUX ajst-19175 105 49 yβˆ— yβˆ— ADV ajst-19175 105 50 x x SYM ajst-19175 105 51 , , PUNCT ajst-19175 105 52 then then ADV ajst-19175 105 53 the the DET ajst-19175 105 54 accuracy accuracy NOUN ajst-19175 105 55 e e NOUN ajst-19175 105 56 of of ADP ajst-19175 105 57 the the DET ajst-19175 105 58 surrogate surrogate ADJ ajst-19175 105 59 model model NOUN ajst-19175 105 60 can can AUX ajst-19175 105 61 be be AUX ajst-19175 105 62 expressed express VERB ajst-19175 105 63 as as ADP ajst-19175 105 64 : : PUNCT ajst-19175 105 65 Ξ΅ Ξ΅ PROPN ajst-19175 105 66 1 1 NUM ajst-19175 105 67 βˆ‘ βˆ‘ PUNCT ajst-19175 105 68 y y PROPN ajst-19175 105 69 x x X ajst-19175 105 70 yβˆ— yβˆ— ADV ajst-19175 105 71 x x PUNCT ajst-19175 105 72 βˆ‘ βˆ‘ PUNCT ajst-19175 105 73 y y PROPN ajst-19175 105 74 x x SYM ajst-19175 105 75 y y PROPN ajst-19175 105 76 x x INTJ ajst-19175 105 77 when when SCONJ ajst-19175 105 78 building build VERB ajst-19175 105 79 a a DET ajst-19175 105 80 surrogate surrogate ADJ ajst-19175 105 81 model model NOUN ajst-19175 105 82 for for ADP ajst-19175 105 83 a a DET ajst-19175 105 84 medium medium ADJ ajst-19175 105 85 - - PUNCT ajst-19175 105 86 voltage voltage NOUN ajst-19175 105 87 high high ADJ ajst-19175 105 88 - - PUNCT ajst-19175 105 89 frequency frequency NOUN ajst-19175 105 90 transformer transformer NOUN ajst-19175 105 91 using use VERB ajst-19175 105 92 the the DET ajst-19175 105 93 parallel parallel ADJ ajst-19175 105 94 augmentation augmentation NOUN ajst-19175 105 95 strategy strategy NOUN ajst-19175 105 96 , , PUNCT ajst-19175 105 97 a a DET ajst-19175 105 98 certain certain ADJ ajst-19175 105 99 level level NOUN ajst-19175 105 100 of of ADP ajst-19175 105 101 accuracy accuracy NOUN ajst-19175 105 102 πœ€ πœ€ NOUN ajst-19175 105 103 95 95 NUM ajst-19175 105 104 % % NOUN ajst-19175 105 105 is be AUX ajst-19175 105 106 required require VERB ajst-19175 105 107 . . PUNCT ajst-19175 106 1 4 4 X ajst-19175 106 2 . . X ajst-19175 106 3 optimization optimization NOUN ajst-19175 106 4 of of ADP ajst-19175 106 5 medium medium ADJ ajst-19175 106 6 - - PUNCT ajst-19175 106 7 voltage voltage NOUN ajst-19175 106 8 high high ADJ ajst-19175 106 9 - - PUNCT ajst-19175 106 10 frequency frequency NOUN ajst-19175 106 11 transformers transformer NOUN ajst-19175 106 12 4.1 4.1 NUM ajst-19175 106 13 . . PUNCT ajst-19175 106 14 model model NOUN ajst-19175 106 15 of of ADP ajst-19175 106 16 medium medium ADJ ajst-19175 106 17 - - PUNCT ajst-19175 106 18 voltage voltage NOUN ajst-19175 106 19 highfrequency highfrequency NOUN ajst-19175 106 20 transformer transformer VERB ajst-19175 106 21 the the DET ajst-19175 106 22 medium medium ADJ ajst-19175 106 23 - - PUNCT ajst-19175 106 24 voltage voltage NOUN ajst-19175 106 25 rapid rapid ADJ ajst-19175 106 26 charging charging NOUN ajst-19175 106 27 and and CCONJ ajst-19175 106 28 discharging discharge VERB ajst-19175 106 29 platform platform NOUN ajst-19175 106 30 is be AUX ajst-19175 106 31 primarily primarily ADV ajst-19175 106 32 used use VERB ajst-19175 106 33 for for ADP ajst-19175 106 34 electric electric ADJ ajst-19175 106 35 vehicle vehicle NOUN ajst-19175 106 36 charging charge VERB ajst-19175 106 37 189 189 NUM ajst-19175 106 38 stations station NOUN ajst-19175 106 39 , , PUNCT ajst-19175 106 40 and and CCONJ ajst-19175 106 41 thus thus ADV ajst-19175 106 42 has have VERB ajst-19175 106 43 strict strict ADJ ajst-19175 106 44 requirements requirement NOUN ajst-19175 106 45 on on ADP ajst-19175 106 46 the the DET ajst-19175 106 47 volume volume NOUN ajst-19175 106 48 and and CCONJ ajst-19175 106 49 efficiency efficiency NOUN ajst-19175 106 50 of of ADP ajst-19175 106 51 transformers transformer NOUN ajst-19175 106 52 . . PUNCT ajst-19175 107 1 therefore therefore ADV ajst-19175 107 2 , , PUNCT ajst-19175 107 3 nanocrystalline nanocrystalline ADJ ajst-19175 107 4 alloy alloy NOUN ajst-19175 107 5 is be AUX ajst-19175 107 6 selected select VERB ajst-19175 107 7 as as ADP ajst-19175 107 8 the the DET ajst-19175 107 9 magnetic magnetic ADJ ajst-19175 107 10 core core NOUN ajst-19175 107 11 material material NOUN ajst-19175 107 12 for for ADP ajst-19175 107 13 the the DET ajst-19175 107 14 medium medium ADJ ajst-19175 107 15 - - PUNCT ajst-19175 107 16 voltage voltage NOUN ajst-19175 107 17 high high ADJ ajst-19175 107 18 - - PUNCT ajst-19175 107 19 frequency frequency NOUN ajst-19175 107 20 transformer transformer NOUN ajst-19175 107 21 . . PUNCT ajst-19175 108 1 the the DET ajst-19175 108 2 structure structure NOUN ajst-19175 108 3 of of ADP ajst-19175 108 4 the the DET ajst-19175 108 5 magnetic magnetic ADJ ajst-19175 108 6 core core NOUN ajst-19175 108 7 model model NOUN ajst-19175 108 8 is be AUX ajst-19175 108 9 shown show VERB ajst-19175 108 10 in in ADP ajst-19175 108 11 figure figure NOUN ajst-19175 108 12 2 2 NUM ajst-19175 108 13 , , PUNCT ajst-19175 108 14 and and CCONJ ajst-19175 108 15 its its PRON ajst-19175 108 16 initial initial ADJ ajst-19175 108 17 design design NOUN ajst-19175 108 18 parameters parameter NOUN ajst-19175 108 19 are be AUX ajst-19175 108 20 presented present VERB ajst-19175 108 21 in in ADP ajst-19175 108 22 table table NOUN ajst-19175 108 23 1 1 NUM ajst-19175 108 24 . . PUNCT ajst-19175 109 1 figure figure NOUN ajst-19175 109 2 2 2 NUM ajst-19175 109 3 . . PUNCT ajst-19175 109 4 structure structure NOUN ajst-19175 109 5 diagram diagram NOUN ajst-19175 109 6 of of ADP ajst-19175 109 7 the the DET ajst-19175 109 8 magnetic magnetic ADJ ajst-19175 109 9 core core NOUN ajst-19175 109 10 model model NOUN ajst-19175 109 11 table table NOUN ajst-19175 109 12 1 1 NUM ajst-19175 109 13 . . PUNCT ajst-19175 109 14 initial initial ADJ ajst-19175 109 15 design design NOUN ajst-19175 109 16 parameters parameter NOUN ajst-19175 109 17 design design VERB ajst-19175 109 18 parameter parameter PROPN ajst-19175 109 19 numerical numerical PROPN ajst-19175 109 20 value value NOUN ajst-19175 109 21 core core NOUN ajst-19175 109 22 height height NOUN ajst-19175 110 1 d d NOUN ajst-19175 110 2 / / SYM ajst-19175 110 3 mm mm PROPN ajst-19175 110 4 45 45 NUM ajst-19175 110 5 core core NOUN ajst-19175 110 6 length length NOUN ajst-19175 110 7 f f PROPN ajst-19175 110 8 / / SYM ajst-19175 110 9 mm mm PROPN ajst-19175 110 10 268 268 NUM ajst-19175 110 11 core core NOUN ajst-19175 110 12 width width NOUN ajst-19175 110 13 e e NOUN ajst-19175 110 14 / / SYM ajst-19175 110 15 mm mm PROPN ajst-19175 110 16 145 145 NUM ajst-19175 110 17 the the DET ajst-19175 110 18 core core NOUN ajst-19175 110 19 is be AUX ajst-19175 110 20 stacked stack VERB ajst-19175 110 21 thick thick ADJ ajst-19175 110 22 a a DET ajst-19175 110 23 / / SYM ajst-19175 110 24 mm mm NOUN ajst-19175 110 25 50 50 NUM ajst-19175 110 26 window window NOUN ajst-19175 110 27 height height NOUN ajst-19175 110 28 c c NOUN ajst-19175 110 29 / / SYM ajst-19175 110 30 mm mm PROPN ajst-19175 110 31 168 168 NUM ajst-19175 110 32 window window NOUN ajst-19175 110 33 width width NOUN ajst-19175 110 34 b b X ajst-19175 110 35 / / SYM ajst-19175 110 36 mm mm PROPN ajst-19175 110 37 45 45 NUM ajst-19175 110 38 operating operating NOUN ajst-19175 110 39 frequency frequency NOUN ajst-19175 110 40 /khz /khz PUNCT ajst-19175 110 41 100 100 NUM ajst-19175 110 42 number number NOUN ajst-19175 110 43 of of ADP ajst-19175 110 44 original original ADJ ajst-19175 110 45 side side NOUN ajst-19175 110 46 turns turn VERB ajst-19175 110 47 24 24 NUM ajst-19175 110 48 number number NOUN ajst-19175 110 49 of of ADP ajst-19175 110 50 secondary secondary ADJ ajst-19175 110 51 side side NOUN ajst-19175 110 52 turns turn VERB ajst-19175 110 53 8 8 NUM ajst-19175 110 54 primary primary ADJ ajst-19175 110 55 side side NOUN ajst-19175 110 56 voltage voltage NOUN ajst-19175 110 57 /v /v SYM ajst-19175 110 58 2400 2400 NUM ajst-19175 110 59 core core NOUN ajst-19175 110 60 weight weight NOUN ajst-19175 110 61 /kg /kg PUNCT ajst-19175 110 62 9.58 9.58 NUM ajst-19175 110 63 core core NOUN ajst-19175 110 64 volume volume NOUN ajst-19175 110 65 /cmΒ³ /cmΒ³ PUNCT ajst-19175 110 66 1311.93 1311.93 NUM ajst-19175 110 67 wastage wastage NOUN ajst-19175 110 68 /w /w NOUN ajst-19175 110 69 187.79 187.79 NUM ajst-19175 110 70 efficiency efficiency NOUN ajst-19175 110 71 99.62 99.62 NUM ajst-19175 110 72 the the DET ajst-19175 110 73 three three NUM ajst-19175 110 74 - - PUNCT ajst-19175 110 75 dimensional dimensional ADJ ajst-19175 110 76 simulation simulation NOUN ajst-19175 110 77 model model NOUN ajst-19175 110 78 of of ADP ajst-19175 110 79 the the DET ajst-19175 110 80 nanocrystalline nanocrystalline PROPN ajst-19175 110 81 magnetic magnetic PROPN ajst-19175 110 82 core core PROPN ajst-19175 110 83 transformer transformer NOUN ajst-19175 110 84 established establish VERB ajst-19175 110 85 using use VERB ajst-19175 110 86 the the DET ajst-19175 110 87 finite finite ADJ ajst-19175 110 88 element element NOUN ajst-19175 110 89 method method NOUN ajst-19175 110 90 is be AUX ajst-19175 110 91 shown show VERB ajst-19175 110 92 in in ADP ajst-19175 110 93 figure figure NOUN ajst-19175 110 94 3 3 NUM ajst-19175 110 95 . . PUNCT ajst-19175 110 96 figure figure VERB ajst-19175 110 97 3 3 NUM ajst-19175 110 98 . . PUNCT ajst-19175 110 99 three three NUM ajst-19175 110 100 - - PUNCT ajst-19175 110 101 dimensional dimensional ADJ ajst-19175 110 102 simulation simulation NOUN ajst-19175 110 103 model model NOUN ajst-19175 110 104 diagram diagram NOUN ajst-19175 110 105 the the DET ajst-19175 110 106 design design NOUN ajst-19175 110 107 of of ADP ajst-19175 110 108 medium medium ADJ ajst-19175 110 109 - - PUNCT ajst-19175 110 110 voltage voltage NOUN ajst-19175 110 111 high high ADJ ajst-19175 110 112 - - PUNCT ajst-19175 110 113 frequency frequency NOUN ajst-19175 110 114 transformers transformer NOUN ajst-19175 110 115 needs need VERB ajst-19175 110 116 to to PART ajst-19175 110 117 take take VERB ajst-19175 110 118 into into ADP ajst-19175 110 119 account account NOUN ajst-19175 110 120 both both DET ajst-19175 110 121 volume volume NOUN ajst-19175 110 122 and and CCONJ ajst-19175 110 123 losses loss NOUN ajst-19175 110 124 . . PUNCT ajst-19175 111 1 the the DET ajst-19175 111 2 volume volume NOUN ajst-19175 111 3 of of ADP ajst-19175 111 4 the the DET ajst-19175 111 5 transformer transformer NOUN ajst-19175 111 6 is be AUX ajst-19175 111 7 primarily primarily ADV ajst-19175 111 8 determined determine VERB ajst-19175 111 9 by by ADP ajst-19175 111 10 the the DET ajst-19175 111 11 size size NOUN ajst-19175 111 12 of of ADP ajst-19175 111 13 the the DET ajst-19175 111 14 magnetic magnetic ADJ ajst-19175 111 15 core core NOUN ajst-19175 111 16 , , PUNCT ajst-19175 111 17 which which PRON ajst-19175 111 18 can can AUX ajst-19175 111 19 be be AUX ajst-19175 111 20 represented represent VERB ajst-19175 111 21 by by ADP ajst-19175 111 22 the the DET ajst-19175 111 23 product product NOUN ajst-19175 111 24 a a PRON ajst-19175 111 25 of of ADP ajst-19175 111 26 the the DET ajst-19175 111 27 magnetic magnetic ADJ ajst-19175 111 28 core core NOUN ajst-19175 111 29 window window NOUN ajst-19175 111 30 area area NOUN ajst-19175 111 31 and and CCONJ ajst-19175 111 32 the the DET ajst-19175 111 33 effective effective ADJ ajst-19175 111 34 cross cross ADJ ajst-19175 111 35 - - ADJ ajst-19175 111 36 sectional sectional ADJ ajst-19175 111 37 area area NOUN ajst-19175 111 38 of of ADP ajst-19175 111 39 the the DET ajst-19175 111 40 magnetic magnetic ADJ ajst-19175 111 41 core core NOUN ajst-19175 111 42 in in ADP ajst-19175 111 43 the the DET ajst-19175 111 44 ap ap PROPN ajst-19175 111 45 method method NOUN ajst-19175 111 46 . . PUNCT ajst-19175 112 1 𝐴 𝐴 PROPN ajst-19175 112 2 𝐴 𝐴 PROPN ajst-19175 112 3 𝐴 𝐴 PROPN ajst-19175 112 4 in in ADP ajst-19175 112 5 the the DET ajst-19175 112 6 formula formula NOUN ajst-19175 112 7 : : PUNCT ajst-19175 112 8 a a PRON ajst-19175 112 9 is be AUX ajst-19175 112 10 the the DET ajst-19175 112 11 magnetic magnetic ADJ ajst-19175 112 12 core core NOUN ajst-19175 112 13 window window NOUN ajst-19175 112 14 area area NOUN ajst-19175 112 15 , , PUNCT ajst-19175 112 16 and and CCONJ ajst-19175 112 17 a a PRON ajst-19175 112 18 is be AUX ajst-19175 112 19 the the DET ajst-19175 112 20 effective effective ADJ ajst-19175 112 21 cross cross ADJ ajst-19175 112 22 - - ADJ ajst-19175 112 23 sectional sectional ADJ ajst-19175 112 24 area area NOUN ajst-19175 112 25 of of ADP ajst-19175 112 26 the the DET ajst-19175 112 27 magnetic magnetic ADJ ajst-19175 112 28 core core NOUN ajst-19175 112 29 . . PUNCT ajst-19175 113 1 the the DET ajst-19175 113 2 effective effective ADJ ajst-19175 113 3 voltage voltage NOUN ajst-19175 113 4 on on ADP ajst-19175 113 5 the the DET ajst-19175 113 6 primary primary ADJ ajst-19175 113 7 side side NOUN ajst-19175 113 8 is be AUX ajst-19175 113 9 u u NOUN ajst-19175 113 10 : : PUNCT ajst-19175 113 11 u u PROPN ajst-19175 113 12 n n X ajst-19175 113 13 βˆ™ βˆ™ PROPN ajst-19175 113 14 dΟ• dΟ• NOUN ajst-19175 113 15 dt dt NOUN ajst-19175 113 16 n n PRON ajst-19175 113 17 βˆ™ βˆ™ PROPN ajst-19175 113 18 k k PROPN ajst-19175 114 1 b b PROPN ajst-19175 114 2 a a DET ajst-19175 114 3 t t PROPN ajst-19175 114 4 10 10 NUM ajst-19175 114 5 in in ADP ajst-19175 114 6 the the DET ajst-19175 114 7 formula formula NOUN ajst-19175 114 8 : : PUNCT ajst-19175 114 9 n n PRON ajst-19175 114 10 represents represent VERB ajst-19175 114 11 the the DET ajst-19175 114 12 number number NOUN ajst-19175 114 13 of of ADP ajst-19175 114 14 turns turn NOUN ajst-19175 114 15 ; ; PUNCT ajst-19175 114 16 b b X ajst-19175 114 17 represents represent VERB ajst-19175 114 18 the the DET ajst-19175 114 19 magnetic magnetic ADJ ajst-19175 114 20 flux flux NOUN ajst-19175 114 21 density density PROPN ajst-19175 114 22 ; ; PUNCT ajst-19175 114 23 Ο• Ο• NOUN ajst-19175 114 24 represents represent VERB ajst-19175 114 25 the the DET ajst-19175 114 26 magnetic magnetic ADJ ajst-19175 114 27 flux flux NOUN ajst-19175 114 28 ; ; PUNCT ajst-19175 114 29 k k X ajst-19175 114 30 represents represent VERB ajst-19175 114 31 the the DET ajst-19175 114 32 waveform waveform NOUN ajst-19175 114 33 coefficient coefficient NOUN ajst-19175 114 34 . . PUNCT ajst-19175 115 1 the the DET ajst-19175 115 2 utilization utilization NOUN ajst-19175 115 3 coefficient coefficient NOUN ajst-19175 115 4 of of ADP ajst-19175 115 5 the the DET ajst-19175 115 6 magnetic magnetic ADJ ajst-19175 115 7 core core PROPN ajst-19175 115 8 window window NOUN ajst-19175 115 9 area area NOUN ajst-19175 115 10 is be AUX ajst-19175 115 11 k k PROPN ajst-19175 115 12 , , PUNCT ajst-19175 115 13 the the DET ajst-19175 115 14 current current ADJ ajst-19175 115 15 density density NOUN ajst-19175 115 16 is be AUX ajst-19175 115 17 j j PROPN ajst-19175 115 18 , , PUNCT ajst-19175 115 19 and and CCONJ ajst-19175 115 20 the the DET ajst-19175 115 21 effective effective ADJ ajst-19175 115 22 values value NOUN ajst-19175 115 23 of of ADP ajst-19175 115 24 the the DET ajst-19175 115 25 primary primary ADJ ajst-19175 115 26 and and CCONJ ajst-19175 115 27 secondary secondary ADJ ajst-19175 115 28 winding wind VERB ajst-19175 115 29 currents current NOUN ajst-19175 115 30 are be AUX ajst-19175 115 31 i i PRON ajst-19175 115 32 and and CCONJ ajst-19175 115 33 i i PRON ajst-19175 115 34 , , PUNCT ajst-19175 115 35 respectively respectively ADV ajst-19175 115 36 : : PUNCT ajst-19175 115 37 k k PROPN ajst-19175 115 38 a a NOUN ajst-19175 115 39 n n NOUN ajst-19175 115 40 βˆ™ βˆ™ PROPN ajst-19175 115 41 i i PRON ajst-19175 115 42 j j PROPN ajst-19175 115 43 n n X ajst-19175 115 44 βˆ™ βˆ™ PROPN ajst-19175 115 45 i i PRON ajst-19175 115 46 j j PROPN ajst-19175 115 47 from from ADP ajst-19175 115 48 the the DET ajst-19175 115 49 above above ADJ ajst-19175 115 50 equation equation NOUN ajst-19175 115 51 , , PUNCT ajst-19175 115 52 we we PRON ajst-19175 115 53 can can AUX ajst-19175 115 54 obtain obtain VERB ajst-19175 115 55 : : PUNCT ajst-19175 115 56 a a PRON ajst-19175 115 57 a a PRON ajst-19175 115 58 a a DET ajst-19175 115 59 u u NOUN ajst-19175 116 1 i i PRON ajst-19175 117 1 u u VERB ajst-19175 118 1 i i PRON ajst-19175 118 2 4k 4k VERB ajst-19175 118 3 k k PROPN ajst-19175 118 4 jb jb PROPN ajst-19175 118 5 a a DET ajst-19175 118 6 f f X ajst-19175 119 1 βˆ™ βˆ™ PROPN ajst-19175 119 2 a a DET ajst-19175 119 3 10 10 NUM ajst-19175 119 4 in in ADP ajst-19175 119 5 the the DET ajst-19175 119 6 formula formula NOUN ajst-19175 119 7 : : PUNCT ajst-19175 119 8 𝑓 𝑓 PRON ajst-19175 119 9 is be AUX ajst-19175 119 10 the the DET ajst-19175 119 11 operating operating NOUN ajst-19175 119 12 frequency frequency NOUN ajst-19175 119 13 , , PUNCT ajst-19175 119 14 and and CCONJ ajst-19175 119 15 π‘ˆ π‘ˆ PROPN ajst-19175 119 16 is be AUX ajst-19175 119 17 the the DET ajst-19175 119 18 effective effective ADJ ajst-19175 119 19 value value NOUN ajst-19175 119 20 of of ADP ajst-19175 119 21 the the DET ajst-19175 119 22 secondary secondary ADJ ajst-19175 119 23 voltage voltage NOUN ajst-19175 119 24 . . PUNCT ajst-19175 120 1 the the DET ajst-19175 120 2 efficiency efficiency NOUN ajst-19175 120 3 of of ADP ajst-19175 120 4 the the DET ajst-19175 120 5 transformer transformer NOUN ajst-19175 120 6 is be AUX ajst-19175 120 7 Ξ· Ξ· PROPN ajst-19175 120 8 . . PUNCT ajst-19175 121 1 from from ADP ajst-19175 121 2 this this DET ajst-19175 121 3 p p PROPN ajst-19175 121 4 p p NOUN ajst-19175 121 5 , , PUNCT ajst-19175 121 6 we we PRON ajst-19175 121 7 can can AUX ajst-19175 121 8 derive derive VERB ajst-19175 121 9 : : PUNCT ajst-19175 121 10 a a DET ajst-19175 121 11 a a DET ajst-19175 121 12 a a DET ajst-19175 121 13 1 1 NUM ajst-19175 121 14 Ξ· Ξ· NOUN ajst-19175 121 15 p p NOUN ajst-19175 121 16 4Ξ·k 4Ξ·k PROPN ajst-19175 122 1 k k PROPN ajst-19175 122 2 jb jb PROPN ajst-19175 122 3 f f PROPN ajst-19175 122 4 10 10 NUM ajst-19175 122 5 in in ADP ajst-19175 122 6 the the DET ajst-19175 122 7 formula formula NOUN ajst-19175 122 8 : : PUNCT ajst-19175 123 1 p p NOUN ajst-19175 123 2 and and CCONJ ajst-19175 123 3 p p NOUN ajst-19175 123 4 are be AUX ajst-19175 123 5 the the DET ajst-19175 123 6 primary primary ADJ ajst-19175 123 7 and and CCONJ ajst-19175 123 8 secondary secondary ADJ ajst-19175 123 9 powers power NOUN ajst-19175 123 10 , , PUNCT ajst-19175 123 11 respectively respectively ADV ajst-19175 123 12 . . PUNCT ajst-19175 124 1 from from ADP ajst-19175 124 2 the the DET ajst-19175 124 3 above above ADJ ajst-19175 124 4 equation equation NOUN ajst-19175 124 5 , , PUNCT ajst-19175 124 6 it it PRON ajst-19175 124 7 can can AUX ajst-19175 124 8 be be AUX ajst-19175 124 9 seen see VERB ajst-19175 124 10 that that SCONJ ajst-19175 124 11 the the DET ajst-19175 124 12 transformer transformer ADJ ajst-19175 124 13 size size NOUN ajst-19175 124 14 is be AUX ajst-19175 124 15 affected affect VERB ajst-19175 124 16 by by ADP ajst-19175 124 17 multiple multiple ADJ ajst-19175 124 18 nonlinearly nonlinearly ADV ajst-19175 124 19 related relate VERB ajst-19175 124 20 parameters parameter NOUN ajst-19175 124 21 such such ADJ ajst-19175 124 22 as as ADP ajst-19175 124 23 the the DET ajst-19175 124 24 iron iron NOUN ajst-19175 124 25 core core NOUN ajst-19175 124 26 height height NOUN ajst-19175 124 27 , , PUNCT ajst-19175 124 28 iron iron NOUN ajst-19175 124 29 core core NOUN ajst-19175 124 30 stack stack NOUN ajst-19175 124 31 thickness thickness NOUN ajst-19175 124 32 , , PUNCT ajst-19175 124 33 window window NOUN ajst-19175 124 34 height height NOUN ajst-19175 124 35 , , PUNCT ajst-19175 124 36 window window NOUN ajst-19175 124 37 width width NOUN ajst-19175 124 38 , , PUNCT ajst-19175 124 39 and and CCONJ ajst-19175 124 40 winding wind VERB ajst-19175 124 41 current current ADJ ajst-19175 124 42 density density NOUN ajst-19175 124 43 . . PUNCT ajst-19175 125 1 the the DET ajst-19175 125 2 losses loss NOUN ajst-19175 125 3 in in ADP ajst-19175 125 4 a a DET ajst-19175 125 5 medium medium ADJ ajst-19175 125 6 - - PUNCT ajst-19175 125 7 voltage voltage NOUN ajst-19175 125 8 high high ADJ ajst-19175 125 9 - - PUNCT ajst-19175 125 10 frequency frequency NOUN ajst-19175 125 11 transformer transformer NOUN ajst-19175 125 12 are be AUX ajst-19175 125 13 mainly mainly ADV ajst-19175 125 14 composed compose VERB ajst-19175 125 15 of of ADP ajst-19175 125 16 magnetic magnetic ADJ ajst-19175 125 17 core core NOUN ajst-19175 125 18 losses loss NOUN ajst-19175 125 19 and and CCONJ ajst-19175 125 20 winding wind VERB ajst-19175 125 21 losses loss NOUN ajst-19175 125 22 . . PUNCT ajst-19175 126 1 among among ADP ajst-19175 126 2 them they PRON ajst-19175 126 3 , , PUNCT ajst-19175 126 4 the the DET ajst-19175 126 5 winding wind VERB ajst-19175 126 6 losses loss NOUN ajst-19175 126 7 are be AUX ajst-19175 126 8 much much ADV ajst-19175 126 9 smaller small ADJ ajst-19175 126 10 than than ADP ajst-19175 126 11 the the DET ajst-19175 126 12 magnetic magnetic ADJ ajst-19175 126 13 core core NOUN ajst-19175 126 14 losses loss NOUN ajst-19175 126 15 , , PUNCT ajst-19175 126 16 so so SCONJ ajst-19175 126 17 they they PRON ajst-19175 126 18 are be AUX ajst-19175 126 19 not not PART ajst-19175 126 20 discussed discuss VERB ajst-19175 126 21 in in ADP ajst-19175 126 22 this this DET ajst-19175 126 23 paper paper NOUN ajst-19175 126 24 . . PUNCT ajst-19175 127 1 the the DET ajst-19175 127 2 classic classic ADJ ajst-19175 127 3 method method NOUN ajst-19175 127 4 to to PART ajst-19175 127 5 describe describe VERB ajst-19175 127 6 the the DET ajst-19175 127 7 magnetic magnetic ADJ ajst-19175 127 8 core core NOUN ajst-19175 127 9 losses loss NOUN ajst-19175 127 10 in in ADP ajst-19175 127 11 high high ADJ ajst-19175 127 12 - - PUNCT ajst-19175 127 13 frequency frequency NOUN ajst-19175 127 14 transformers transformer NOUN ajst-19175 127 15 is be AUX ajst-19175 127 16 the the DET ajst-19175 127 17 steinmetz steinmetz PROPN ajst-19175 127 18 formula formula NOUN ajst-19175 127 19 , , PUNCT ajst-19175 127 20 which which PRON ajst-19175 127 21 is be AUX ajst-19175 127 22 as as SCONJ ajst-19175 127 23 follows follow VERB ajst-19175 127 24 : : PUNCT ajst-19175 127 25 p p PROPN ajst-19175 127 26 kf kf PROPN ajst-19175 127 27 b b PROPN ajst-19175 127 28 in in ADP ajst-19175 127 29 the the DET ajst-19175 127 30 formula formula NOUN ajst-19175 127 31 : : PUNCT ajst-19175 127 32 k k X ajst-19175 127 33 , , PUNCT ajst-19175 127 34 Ξ± Ξ± PROPN ajst-19175 127 35 and and CCONJ ajst-19175 127 36 Ξ² Ξ² X ajst-19175 127 37 are be AUX ajst-19175 127 38 the the DET ajst-19175 127 39 steinmetz steinmetz PROPN ajst-19175 127 40 coefficients coefficient NOUN ajst-19175 127 41 . . PUNCT ajst-19175 128 1 this this DET ajst-19175 128 2 method method NOUN ajst-19175 128 3 has have VERB ajst-19175 128 4 high high ADJ ajst-19175 128 5 accuracy accuracy NOUN ajst-19175 128 6 and and CCONJ ajst-19175 128 7 simple simple ADJ ajst-19175 128 8 fitting fitting NOUN ajst-19175 128 9 , , PUNCT ajst-19175 128 10 but but CCONJ ajst-19175 128 11 it it PRON ajst-19175 128 12 is be AUX ajst-19175 128 13 only only ADV ajst-19175 128 14 applicable applicable ADJ ajst-19175 128 15 to to ADP ajst-19175 128 16 sinusoidal sinusoidal ADJ ajst-19175 128 17 excitation excitation NOUN ajst-19175 128 18 . . PUNCT ajst-19175 129 1 to to PART ajst-19175 129 2 facilitate facilitate VERB ajst-19175 129 3 the the DET ajst-19175 129 4 analysis analysis NOUN ajst-19175 129 5 of of ADP ajst-19175 129 6 magnetic magnetic ADJ ajst-19175 129 7 core core NOUN ajst-19175 129 8 loss loss NOUN ajst-19175 129 9 characteristics characteristic NOUN ajst-19175 129 10 under under ADP ajst-19175 129 11 other other ADJ ajst-19175 129 12 excitations excitation NOUN ajst-19175 129 13 , , PUNCT ajst-19175 129 14 an an DET ajst-19175 129 15 improved improved ADJ ajst-19175 129 16 steinmetz steinmetz NOUN ajst-19175 129 17 formula formula NOUN ajst-19175 129 18 is be AUX ajst-19175 129 19 proposed propose VERB ajst-19175 129 20 in in ADP ajst-19175 129 21 reference reference NOUN ajst-19175 129 22 [ [ X ajst-19175 129 23 13 13 NUM ajst-19175 129 24 ] ] PUNCT ajst-19175 129 25 . . PUNCT ajst-19175 130 1 p p X ajst-19175 130 2 f f PROPN ajst-19175 130 3 kf kf PROPN ajst-19175 130 4 b b PROPN ajst-19175 130 5 in in ADP ajst-19175 130 6 the the DET ajst-19175 130 7 formula formula NOUN ajst-19175 130 8 : : PUNCT ajst-19175 130 9 f f PROPN ajst-19175 130 10 represents represent VERB ajst-19175 130 11 the the DET ajst-19175 130 12 magnetic magnetic ADJ ajst-19175 130 13 flux flux NOUN ajst-19175 130 14 waveform waveform VERB ajst-19175 130 15 coefficient coefficient NOUN ajst-19175 130 16 , , PUNCT ajst-19175 130 17 which which PRON ajst-19175 130 18 is be AUX ajst-19175 130 19 Ο€/4 Ο€/4 PUNCT ajst-19175 130 20 for for ADP ajst-19175 130 21 square square ADJ ajst-19175 130 22 wave wave NOUN ajst-19175 130 23 excitation excitation NOUN ajst-19175 130 24 and and CCONJ ajst-19175 130 25 2/3 2/3 NUM ajst-19175 130 26 for for ADP ajst-19175 130 27 triangular triangular NOUN ajst-19175 130 28 wave wave NOUN ajst-19175 130 29 excitation excitation NOUN ajst-19175 130 30 . . PUNCT ajst-19175 131 1 it it PRON ajst-19175 131 2 can can AUX ajst-19175 131 3 be be AUX ajst-19175 131 4 seen see VERB ajst-19175 131 5 that that SCONJ ajst-19175 131 6 the the DET ajst-19175 131 7 magnetic magnetic ADJ ajst-19175 131 8 core core NOUN ajst-19175 131 9 losses loss NOUN ajst-19175 131 10 of of ADP ajst-19175 131 11 a a DET ajst-19175 131 12 medium medium ADJ ajst-19175 131 13 - - PUNCT ajst-19175 131 14 voltage voltage NOUN ajst-19175 131 15 high high ADJ ajst-19175 131 16 - - PUNCT ajst-19175 131 17 frequency frequency NOUN ajst-19175 131 18 transformer transformer NOUN ajst-19175 131 19 are be AUX ajst-19175 131 20 related relate VERB ajst-19175 131 21 to to ADP ajst-19175 131 22 material material NOUN ajst-19175 131 23 properties property NOUN ajst-19175 131 24 and and CCONJ ajst-19175 131 25 excitation excitation NOUN ajst-19175 131 26 methods method NOUN ajst-19175 131 27 . . PUNCT ajst-19175 132 1 4.2 4.2 NUM ajst-19175 132 2 . . PUNCT ajst-19175 132 3 surrogate surrogate ADJ ajst-19175 132 4 model model NOUN ajst-19175 132 5 in in ADP ajst-19175 132 6 this this DET ajst-19175 132 7 paper paper NOUN ajst-19175 132 8 , , PUNCT ajst-19175 132 9 the the DET ajst-19175 132 10 iron iron NOUN ajst-19175 132 11 core core NOUN ajst-19175 132 12 height height NOUN ajst-19175 132 13 ( ( PUNCT ajst-19175 132 14 d d NOUN ajst-19175 132 15 ) ) PUNCT ajst-19175 132 16 , , PUNCT ajst-19175 132 17 iron iron NOUN ajst-19175 132 18 core core NOUN ajst-19175 132 19 stack stack NOUN ajst-19175 132 20 thickness thickness NOUN ajst-19175 132 21 ( ( PUNCT ajst-19175 132 22 a a NOUN ajst-19175 132 23 ) ) PUNCT ajst-19175 132 24 , , PUNCT ajst-19175 132 25 and and CCONJ ajst-19175 132 26 window window NOUN ajst-19175 132 27 height height NOUN ajst-19175 132 28 ( ( PUNCT ajst-19175 132 29 c c NOUN ajst-19175 132 30 ) ) PUNCT ajst-19175 132 31 are be AUX ajst-19175 132 32 selected select VERB ajst-19175 132 33 as as ADP ajst-19175 132 34 optimization optimization NOUN ajst-19175 132 35 variables variable NOUN ajst-19175 132 36 . . PUNCT ajst-19175 133 1 the the DET ajst-19175 133 2 optimization optimization NOUN ajst-19175 133 3 objectives objective NOUN ajst-19175 133 4 are be AUX ajst-19175 133 5 the the DET ajst-19175 133 6 iron iron NOUN ajst-19175 133 7 core core NOUN ajst-19175 133 8 volume volume NOUN ajst-19175 133 9 and and CCONJ ajst-19175 133 10 transformer transformer NOUN ajst-19175 133 11 losses loss NOUN ajst-19175 133 12 , , PUNCT ajst-19175 133 13 with with ADP ajst-19175 133 14 the the DET ajst-19175 133 15 constraint constraint NOUN ajst-19175 133 16 190 190 NUM ajst-19175 133 17 conditions condition NOUN ajst-19175 133 18 being be AUX ajst-19175 133 19 the the DET ajst-19175 133 20 change change NOUN ajst-19175 133 21 in in ADP ajst-19175 133 22 the the DET ajst-19175 133 23 original original ADJ ajst-19175 133 24 design design NOUN ajst-19175 133 25 parameters parameter NOUN ajst-19175 133 26 and and CCONJ ajst-19175 133 27 magnetic magnetic ADJ ajst-19175 133 28 flux flux NOUN ajst-19175 133 29 not not PART ajst-19175 133 30 exceeding exceed VERB ajst-19175 133 31 a a DET ajst-19175 133 32 certain certain ADJ ajst-19175 133 33 limit limit NOUN ajst-19175 133 34 . . PUNCT ajst-19175 134 1 both both CCONJ ajst-19175 134 2 the the DET ajst-19175 134 3 initial initial ADJ ajst-19175 134 4 10 10 NUM ajst-19175 134 5 sample sample NOUN ajst-19175 134 6 points point NOUN ajst-19175 134 7 and and CCONJ ajst-19175 134 8 the the DET ajst-19175 134 9 10 10 NUM ajst-19175 134 10 test test NOUN ajst-19175 134 11 sample sample NOUN ajst-19175 134 12 points point NOUN ajst-19175 134 13 are be AUX ajst-19175 134 14 generated generate VERB ajst-19175 134 15 using use VERB ajst-19175 134 16 latin latin ADJ ajst-19175 134 17 hypercube hypercube NOUN ajst-19175 134 18 sampling sample VERB ajst-19175 134 19 . . PUNCT ajst-19175 135 1 the the DET ajst-19175 135 2 surrogate surrogate ADJ ajst-19175 135 3 model model NOUN ajst-19175 135 4 prediction prediction NOUN ajst-19175 135 5 accuracy accuracy NOUN ajst-19175 135 6 is be AUX ajst-19175 135 7 required require VERB ajst-19175 135 8 to to PART ajst-19175 135 9 be be AUX ajst-19175 135 10 at at ADP ajst-19175 135 11 level level NOUN ajst-19175 135 12 πœ€ πœ€ NOUN ajst-19175 135 13 95 95 NUM ajst-19175 135 14 % % NOUN ajst-19175 135 15 . . PUNCT ajst-19175 136 1 firstly firstly ADV ajst-19175 136 2 , , PUNCT ajst-19175 136 3 the the DET ajst-19175 136 4 initial initial ADJ ajst-19175 136 5 10 10 NUM ajst-19175 136 6 sample sample NOUN ajst-19175 136 7 points point NOUN ajst-19175 136 8 are be AUX ajst-19175 136 9 used use VERB ajst-19175 136 10 to to PART ajst-19175 136 11 fit fit VERB ajst-19175 136 12 a a DET ajst-19175 136 13 kriging krige VERB ajst-19175 136 14 surrogate surrogate ADJ ajst-19175 136 15 model model NOUN ajst-19175 136 16 , , PUNCT ajst-19175 136 17 and and CCONJ ajst-19175 136 18 the the DET ajst-19175 136 19 model model NOUN ajst-19175 136 20 is be AUX ajst-19175 136 21 then then ADV ajst-19175 136 22 employed employ VERB ajst-19175 136 23 to to PART ajst-19175 136 24 calculate calculate VERB ajst-19175 136 25 the the DET ajst-19175 136 26 predicted predict VERB ajst-19175 136 27 values value NOUN ajst-19175 136 28 for for ADP ajst-19175 136 29 the the DET ajst-19175 136 30 test test NOUN ajst-19175 136 31 sample sample NOUN ajst-19175 136 32 points point NOUN ajst-19175 136 33 . . PUNCT ajst-19175 137 1 this this PRON ajst-19175 137 2 gives give VERB ajst-19175 137 3 the the DET ajst-19175 137 4 current current ADJ ajst-19175 137 5 accuracy accuracy NOUN ajst-19175 137 6 Ξ΅βˆ— Ξ΅βˆ— VERB ajst-19175 137 7 95 95 NUM ajst-19175 137 8 % % NOUN ajst-19175 137 9 of of ADP ajst-19175 137 10 the the DET ajst-19175 137 11 surrogate surrogate ADJ ajst-19175 137 12 model model NOUN ajst-19175 137 13 . . PUNCT ajst-19175 138 1 subsequently subsequently ADV ajst-19175 138 2 , , PUNCT ajst-19175 138 3 the the DET ajst-19175 138 4 particle particle NOUN ajst-19175 138 5 swarm swarm NOUN ajst-19175 138 6 optimization optimization NOUN ajst-19175 138 7 algorithm algorithm NOUN ajst-19175 138 8 is be AUX ajst-19175 138 9 employed employ VERB ajst-19175 138 10 to to PART ajst-19175 138 11 find find VERB ajst-19175 138 12 the the DET ajst-19175 138 13 sample sample NOUN ajst-19175 138 14 point point NOUN ajst-19175 138 15 where where SCONJ ajst-19175 138 16 the the DET ajst-19175 138 17 current current ADJ ajst-19175 138 18 optimal optimal ADJ ajst-19175 138 19 objective objective ADJ ajst-19175 138 20 value value NOUN ajst-19175 138 21 of of ADP ajst-19175 138 22 the the DET ajst-19175 138 23 surrogate surrogate ADJ ajst-19175 138 24 model model NOUN ajst-19175 138 25 is be AUX ajst-19175 138 26 located locate VERB ajst-19175 138 27 . . PUNCT ajst-19175 139 1 based base VERB ajst-19175 139 2 on on ADP ajst-19175 139 3 the the DET ajst-19175 139 4 maximum maximum ADJ ajst-19175 139 5 expected expect VERB ajst-19175 139 6 improvement improvement NOUN ajst-19175 139 7 criterion criterion NOUN ajst-19175 139 8 , , PUNCT ajst-19175 139 9 the the DET ajst-19175 139 10 point point NOUN ajst-19175 139 11 in in ADP ajst-19175 139 12 the the DET ajst-19175 139 13 sample sample NOUN ajst-19175 139 14 space space NOUN ajst-19175 139 15 that that PRON ajst-19175 139 16 maximizes maximize VERB ajst-19175 139 17 the the DET ajst-19175 139 18 variance variance NOUN ajst-19175 139 19 of of ADP ajst-19175 139 20 the the DET ajst-19175 139 21 sample sample NOUN ajst-19175 139 22 data datum NOUN ajst-19175 139 23 is be AUX ajst-19175 139 24 obtained obtain VERB ajst-19175 139 25 . . PUNCT ajst-19175 140 1 these these DET ajst-19175 140 2 two two NUM ajst-19175 140 3 new new ADJ ajst-19175 140 4 sample sample NOUN ajst-19175 140 5 points point NOUN ajst-19175 140 6 , , PUNCT ajst-19175 140 7 along along ADP ajst-19175 140 8 with with ADP ajst-19175 140 9 the the DET ajst-19175 140 10 initial initial ADJ ajst-19175 140 11 sample sample NOUN ajst-19175 140 12 points point NOUN ajst-19175 140 13 , , PUNCT ajst-19175 140 14 constitute constitute VERB ajst-19175 140 15 a a DET ajst-19175 140 16 new new ADJ ajst-19175 140 17 sampling sampling NOUN ajst-19175 140 18 space space NOUN ajst-19175 140 19 . . PUNCT ajst-19175 141 1 the the DET ajst-19175 141 2 above above ADJ ajst-19175 141 3 steps step NOUN ajst-19175 141 4 are be AUX ajst-19175 141 5 repeated repeat VERB ajst-19175 141 6 until until SCONJ ajst-19175 141 7 the the DET ajst-19175 141 8 accuracy accuracy NOUN ajst-19175 141 9 of of ADP ajst-19175 141 10 the the DET ajst-19175 141 11 fitted fit VERB ajst-19175 141 12 surrogate surrogate ADJ ajst-19175 141 13 model model NOUN ajst-19175 141 14 meets meet VERB ajst-19175 141 15 the the DET ajst-19175 141 16 required require VERB ajst-19175 141 17 standard standard NOUN ajst-19175 141 18 . . PUNCT ajst-19175 142 1 after after ADP ajst-19175 142 2 21 21 NUM ajst-19175 142 3 iterations iteration NOUN ajst-19175 142 4 , , PUNCT ajst-19175 142 5 the the DET ajst-19175 142 6 initial initial ADJ ajst-19175 142 7 sample sample NOUN ajst-19175 142 8 points point NOUN ajst-19175 142 9 are be AUX ajst-19175 142 10 augmented augment VERB ajst-19175 142 11 through through ADP ajst-19175 142 12 parallel parallel ADJ ajst-19175 142 13 sampling sampling NOUN ajst-19175 142 14 to to PART ajst-19175 142 15 obtain obtain VERB ajst-19175 142 16 a a DET ajst-19175 142 17 total total NOUN ajst-19175 142 18 of of ADP ajst-19175 142 19 52 52 NUM ajst-19175 142 20 sample sample NOUN ajst-19175 142 21 data datum NOUN ajst-19175 142 22 points point NOUN ajst-19175 142 23 . . PUNCT ajst-19175 143 1 at at ADP ajst-19175 143 2 this this DET ajst-19175 143 3 point point NOUN ajst-19175 143 4 , , PUNCT ajst-19175 143 5 the the DET ajst-19175 143 6 accuracy accuracy NOUN ajst-19175 143 7 Ξ΅βˆ— Ξ΅βˆ— VERB ajst-19175 143 8 95 95 NUM ajst-19175 143 9 % % NOUN ajst-19175 143 10 meets meet VERB ajst-19175 143 11 the the DET ajst-19175 143 12 set set ADJ ajst-19175 143 13 precision precision NOUN ajst-19175 143 14 requirement requirement NOUN ajst-19175 143 15 . . PUNCT ajst-19175 144 1 the the DET ajst-19175 144 2 obtained obtain VERB ajst-19175 144 3 sample sample NOUN ajst-19175 144 4 points point NOUN ajst-19175 144 5 are be AUX ajst-19175 144 6 numbered number VERB ajst-19175 144 7 in in ADP ajst-19175 144 8 sequence sequence NOUN ajst-19175 144 9 from from ADP ajst-19175 144 10 1 1 NUM ajst-19175 144 11 to to ADP ajst-19175 144 12 52 52 NUM ajst-19175 144 13 , , PUNCT ajst-19175 144 14 as as SCONJ ajst-19175 144 15 shown show VERB ajst-19175 144 16 in in ADP ajst-19175 144 17 table table NOUN ajst-19175 144 18 2 2 NUM ajst-19175 144 19 , , PUNCT ajst-19175 144 20 while while SCONJ ajst-19175 144 21 the the DET ajst-19175 144 22 test test NOUN ajst-19175 144 23 sample sample NOUN ajst-19175 144 24 points point NOUN ajst-19175 144 25 are be AUX ajst-19175 144 26 numbered number VERB ajst-19175 144 27 from from ADP ajst-19175 144 28 53 53 NUM ajst-19175 144 29 to to PART ajst-19175 144 30 62 62 NUM ajst-19175 144 31 . . PUNCT ajst-19175 145 1 table table NOUN ajst-19175 145 2 2 2 NUM ajst-19175 145 3 . . PUNCT ajst-19175 145 4 surrogate surrogate ADJ ajst-19175 145 5 model model PROPN ajst-19175 145 6 sample sample NOUN ajst-19175 145 7 data datum NOUN ajst-19175 145 8 i i PROPN ajst-19175 145 9 d d PROPN ajst-19175 145 10 sample sample NOUN ajst-19175 145 11 1 1 NUM ajst-19175 145 12 sample sample NOUN ajst-19175 145 13 2 2 NUM ajst-19175 145 14 … … PUNCT ajst-19175 145 15 sample sample NOUN ajst-19175 145 16 51 51 NUM ajst-19175 145 17 sample sample NOUN ajst-19175 145 18 52 52 NUM ajst-19175 145 19 core core NOUN ajst-19175 145 20 height height NOUN ajst-19175 146 1 d d NOUN ajst-19175 146 2 / / SYM ajst-19175 146 3 mm mm PROPN ajst-19175 146 4 52 52 NUM ajst-19175 146 5 40 40 NUM ajst-19175 146 6 … … PUNCT ajst-19175 146 7 42 42 NUM ajst-19175 146 8 50 50 NUM ajst-19175 146 9 the the DET ajst-19175 146 10 core core NOUN ajst-19175 146 11 is be AUX ajst-19175 146 12 stacked stack VERB ajst-19175 146 13 thick thick ADJ ajst-19175 146 14 a a PRON ajst-19175 146 15 / / SYM ajst-19175 146 16 mm mm PROPN ajst-19175 146 17 55 55 NUM ajst-19175 146 18 47 47 NUM ajst-19175 146 19 … … PUNCT ajst-19175 146 20 53 53 NUM ajst-19175 146 21 50 50 NUM ajst-19175 146 22 window window NOUN ajst-19175 146 23 height height NOUN ajst-19175 146 24 c c NOUN ajst-19175 146 25 / / SYM ajst-19175 146 26 mm mm PROPN ajst-19175 146 27 148 148 NUM ajst-19175 146 28 182 182 NUM ajst-19175 146 29 … … PUNCT ajst-19175 146 30 144 144 NUM ajst-19175 146 31 152 152 NUM ajst-19175 146 32 core core NOUN ajst-19175 146 33 volume volume NOUN ajst-19175 146 34 /cmΒ³ /cmΒ³ PROPN ajst-19175 146 35 1426.72 1426.72 NUM ajst-19175 146 36 1134.88 1134.88 NUM ajst-19175 146 37 … … PUNCT ajst-19175 146 38 1198.72 1198.72 NUM ajst-19175 146 39 1307.60 1307.60 NUM ajst-19175 146 40 wastage wastage NOUN ajst-19175 146 41 /w /w PUNCT ajst-19175 146 42 187.55 187.55 NUM ajst-19175 146 43 168.34 168.34 NUM ajst-19175 146 44 … … PUNCT ajst-19175 146 45 183.62 183.62 NUM ajst-19175 146 46 162.65 162.65 NUM ajst-19175 146 47 efficiency efficiency NOUN ajst-19175 146 48 99.62 99.62 NUM ajst-19175 146 49 99.66 99.66 NUM ajst-19175 146 50 … … PUNCT ajst-19175 146 51 99.63 99.63 NUM ajst-19175 146 52 99.67 99.67 NUM ajst-19175 146 53 using use VERB ajst-19175 146 54 the the DET ajst-19175 146 55 parallel parallel ADJ ajst-19175 146 56 sampling sampling NOUN ajst-19175 146 57 kriging krige VERB ajst-19175 146 58 surrogate surrogate ADJ ajst-19175 146 59 model model NOUN ajst-19175 146 60 , , PUNCT ajst-19175 146 61 the the DET ajst-19175 146 62 predicted predict VERB ajst-19175 146 63 values value NOUN ajst-19175 146 64 for for ADP ajst-19175 146 65 the the DET ajst-19175 146 66 volume volume NOUN ajst-19175 146 67 and and CCONJ ajst-19175 146 68 transformer transformer NOUN ajst-19175 146 69 losses loss NOUN ajst-19175 146 70 of of ADP ajst-19175 146 71 the the DET ajst-19175 146 72 test test NOUN ajst-19175 146 73 sample sample NOUN ajst-19175 146 74 points point NOUN ajst-19175 146 75 numbered number VERB ajst-19175 146 76 53 53 NUM ajst-19175 146 77 to to PART ajst-19175 146 78 62 62 NUM ajst-19175 146 79 are be AUX ajst-19175 146 80 obtained obtain VERB ajst-19175 146 81 . . PUNCT ajst-19175 147 1 a a DET ajst-19175 147 2 comparison comparison NOUN ajst-19175 147 3 between between ADP ajst-19175 147 4 the the DET ajst-19175 147 5 predicted predict VERB ajst-19175 147 6 and and CCONJ ajst-19175 147 7 actual actual ADJ ajst-19175 147 8 values value NOUN ajst-19175 147 9 for for ADP ajst-19175 147 10 these these DET ajst-19175 147 11 two two NUM ajst-19175 147 12 prediction prediction NOUN ajst-19175 147 13 targets target NOUN ajst-19175 147 14 is be AUX ajst-19175 147 15 shown show VERB ajst-19175 147 16 in in ADP ajst-19175 147 17 figure figure NOUN ajst-19175 147 18 4 4 NUM ajst-19175 147 19 . . PUNCT ajst-19175 148 1 the the DET ajst-19175 148 2 red red ADJ ajst-19175 148 3 line line NOUN ajst-19175 148 4 represents represent VERB ajst-19175 148 5 the the DET ajst-19175 148 6 predicted predict VERB ajst-19175 148 7 values value NOUN ajst-19175 148 8 , , PUNCT ajst-19175 148 9 while while SCONJ ajst-19175 148 10 the the DET ajst-19175 148 11 black black ADJ ajst-19175 148 12 line line NOUN ajst-19175 148 13 represents represent VERB ajst-19175 148 14 the the DET ajst-19175 148 15 actual actual ADJ ajst-19175 148 16 values value NOUN ajst-19175 148 17 . . PUNCT ajst-19175 149 1 the the DET ajst-19175 149 2 prediction prediction NOUN ajst-19175 149 3 accuracy accuracy NOUN ajst-19175 149 4 for for ADP ajst-19175 149 5 volume volume NOUN ajst-19175 149 6 is be AUX ajst-19175 149 7 95.53 95.53 NUM ajst-19175 149 8 % % NOUN ajst-19175 149 9 , , PUNCT ajst-19175 149 10 and and CCONJ ajst-19175 149 11 the the DET ajst-19175 149 12 prediction prediction NOUN ajst-19175 149 13 accuracy accuracy NOUN ajst-19175 149 14 for for ADP ajst-19175 149 15 transformer transformer NOUN ajst-19175 149 16 losses loss NOUN ajst-19175 149 17 is be AUX ajst-19175 149 18 95.01 95.01 NUM ajst-19175 149 19 % % NOUN ajst-19175 149 20 . . PUNCT ajst-19175 150 1 these these DET ajst-19175 150 2 results result NOUN ajst-19175 150 3 meet meet VERB ajst-19175 150 4 the the DET ajst-19175 150 5 convergence convergence NOUN ajst-19175 150 6 criteria criterion NOUN ajst-19175 150 7 for for ADP ajst-19175 150 8 the the DET ajst-19175 150 9 surrogate surrogate ADJ ajst-19175 150 10 model model NOUN ajst-19175 150 11 and and CCONJ ajst-19175 150 12 the the DET ajst-19175 150 13 requirements requirement NOUN ajst-19175 150 14 for for ADP ajst-19175 150 15 transformer transformer NOUN ajst-19175 150 16 optimization optimization NOUN ajst-19175 150 17 design design NOUN ajst-19175 150 18 . . PUNCT ajst-19175 151 1 ( ( PUNCT ajst-19175 151 2 a a X ajst-19175 151 3 ) ) PUNCT ajst-19175 151 4 comparison comparison NOUN ajst-19175 151 5 chart chart NOUN ajst-19175 151 6 of of ADP ajst-19175 151 7 iron iron NOUN ajst-19175 151 8 core core NOUN ajst-19175 151 9 volume volume NOUN ajst-19175 151 10 ( ( PUNCT ajst-19175 151 11 b b NOUN ajst-19175 151 12 ) ) PUNCT ajst-19175 151 13 comparison comparison NOUN ajst-19175 151 14 chart chart NOUN ajst-19175 151 15 of of ADP ajst-19175 151 16 transformer transformer NOUN ajst-19175 151 17 losses loss NOUN ajst-19175 151 18 figure figure VERB ajst-19175 151 19 4 4 NUM ajst-19175 151 20 . . PUNCT ajst-19175 151 21 comparison comparison NOUN ajst-19175 151 22 chart chart NOUN ajst-19175 151 23 4.3 4.3 NUM ajst-19175 151 24 . . PUNCT ajst-19175 152 1 experimental experimental ADJ ajst-19175 152 2 verification verification NOUN ajst-19175 152 3 to to PART ajst-19175 152 4 verify verify VERB ajst-19175 152 5 the the DET ajst-19175 152 6 superiority superiority NOUN ajst-19175 152 7 of of ADP ajst-19175 152 8 the the DET ajst-19175 152 9 parallel parallel ADJ ajst-19175 152 10 sampling sample VERB ajst-19175 152 11 kriging krige VERB ajst-19175 152 12 surrogate surrogate ADJ ajst-19175 152 13 model model NOUN ajst-19175 152 14 , , PUNCT ajst-19175 152 15 the the DET ajst-19175 152 16 ei ei NOUN ajst-19175 152 17 method method NOUN ajst-19175 152 18 before before SCONJ ajst-19175 152 19 improvement improvement NOUN ajst-19175 152 20 was be AUX ajst-19175 152 21 used use VERB ajst-19175 152 22 for for ADP ajst-19175 152 23 sampling sample VERB ajst-19175 152 24 , , PUNCT ajst-19175 152 25 and and CCONJ ajst-19175 152 26 the the DET ajst-19175 152 27 iteration iteration NOUN ajst-19175 152 28 was be AUX ajst-19175 152 29 performed perform VERB ajst-19175 152 30 42 42 NUM ajst-19175 152 31 times time NOUN ajst-19175 152 32 . . PUNCT ajst-19175 153 1 the the DET ajst-19175 153 2 comparison comparison NOUN ajst-19175 153 3 between between ADP ajst-19175 153 4 the the DET ajst-19175 153 5 predicted predict VERB ajst-19175 153 6 values value NOUN ajst-19175 153 7 and and CCONJ ajst-19175 153 8 actual actual ADJ ajst-19175 153 9 values value NOUN ajst-19175 153 10 obtained obtain VERB ajst-19175 153 11 is be AUX ajst-19175 153 12 shown show VERB ajst-19175 153 13 in in ADP ajst-19175 153 14 figure figure NOUN ajst-19175 153 15 5 5 NUM ajst-19175 153 16 . . PUNCT ajst-19175 154 1 the the DET ajst-19175 154 2 red red ADJ ajst-19175 154 3 line line NOUN ajst-19175 154 4 represents represent VERB ajst-19175 154 5 the the DET ajst-19175 154 6 predicted predict VERB ajst-19175 154 7 values value NOUN ajst-19175 154 8 , , PUNCT ajst-19175 154 9 while while SCONJ ajst-19175 154 10 the the DET ajst-19175 154 11 black black ADJ ajst-19175 154 12 line line NOUN ajst-19175 154 13 represents represent VERB ajst-19175 154 14 the the DET ajst-19175 154 15 actual actual ADJ ajst-19175 154 16 values value NOUN ajst-19175 154 17 . . PUNCT ajst-19175 155 1 the the DET ajst-19175 155 2 prediction prediction NOUN ajst-19175 155 3 accuracy accuracy NOUN ajst-19175 155 4 for for ADP ajst-19175 155 5 volume volume NOUN ajst-19175 155 6 is be AUX ajst-19175 155 7 78.57 78.57 NUM ajst-19175 155 8 % % NOUN ajst-19175 155 9 , , PUNCT ajst-19175 155 10 and and CCONJ ajst-19175 155 11 the the DET ajst-19175 155 12 prediction prediction NOUN ajst-19175 155 13 accuracy accuracy NOUN ajst-19175 155 14 for for ADP ajst-19175 155 15 transformer transformer NOUN ajst-19175 155 16 losses loss NOUN ajst-19175 155 17 is be AUX ajst-19175 155 18 82.56 82.56 NUM ajst-19175 155 19 % % NOUN ajst-19175 155 20 . . PUNCT ajst-19175 156 1 ( ( PUNCT ajst-19175 156 2 a a X ajst-19175 156 3 ) ) PUNCT ajst-19175 156 4 comparison comparison NOUN ajst-19175 156 5 chart chart NOUN ajst-19175 156 6 of of ADP ajst-19175 156 7 iron iron NOUN ajst-19175 156 8 core core NOUN ajst-19175 156 9 volume volume NOUN ajst-19175 156 10 ( ( PUNCT ajst-19175 156 11 b b NOUN ajst-19175 156 12 ) ) PUNCT ajst-19175 156 13 comparison comparison NOUN ajst-19175 156 14 chart chart NOUN ajst-19175 156 15 of of ADP ajst-19175 156 16 transformer transformer NOUN ajst-19175 156 17 losses loss NOUN ajst-19175 156 18 figure figure VERB ajst-19175 156 19 5 5 NUM ajst-19175 156 20 . . PUNCT ajst-19175 156 21 comparison comparison NOUN ajst-19175 156 22 chart chart VERB ajst-19175 156 23 the the DET ajst-19175 156 24 surrogate surrogate ADJ ajst-19175 156 25 model model NOUN ajst-19175 156 26 based base VERB ajst-19175 156 27 on on ADP ajst-19175 156 28 parallel parallel ADJ ajst-19175 156 29 sampling sampling NOUN ajst-19175 156 30 can can AUX ajst-19175 156 31 meet meet VERB ajst-19175 156 32 the the DET ajst-19175 156 33 accuracy accuracy NOUN ajst-19175 156 34 requirement requirement NOUN ajst-19175 156 35 after after ADP ajst-19175 156 36 21 21 NUM ajst-19175 156 37 iterations iteration NOUN ajst-19175 156 38 , , PUNCT ajst-19175 156 39 while while SCONJ ajst-19175 156 40 the the DET ajst-19175 156 41 ei ei NOUN ajst-19175 156 42 191 191 NUM ajst-19175 156 43 sampling sampling NOUN ajst-19175 156 44 method method NOUN ajst-19175 156 45 , , PUNCT ajst-19175 156 46 after after ADP ajst-19175 156 47 training train VERB ajst-19175 156 48 with with ADP ajst-19175 156 49 the the DET ajst-19175 156 50 same same ADJ ajst-19175 156 51 52 52 NUM ajst-19175 156 52 sample sample NOUN ajst-19175 156 53 points point NOUN ajst-19175 156 54 , , PUNCT ajst-19175 156 55 exhibits exhibit VERB ajst-19175 156 56 a a DET ajst-19175 156 57 model model NOUN ajst-19175 156 58 accuracy accuracy NOUN ajst-19175 156 59 that that PRON ajst-19175 156 60 is be AUX ajst-19175 156 61 approximately approximately ADV ajst-19175 156 62 15 15 NUM ajst-19175 156 63 % % NOUN ajst-19175 156 64 lower low ADJ ajst-19175 156 65 than than ADP ajst-19175 156 66 the the DET ajst-19175 156 67 parallel parallel ADJ ajst-19175 156 68 sampling sampling NOUN ajst-19175 156 69 method method NOUN ajst-19175 156 70 . . PUNCT ajst-19175 157 1 the the DET ajst-19175 157 2 main main ADJ ajst-19175 157 3 reason reason NOUN ajst-19175 157 4 is be AUX ajst-19175 157 5 that that SCONJ ajst-19175 157 6 the the DET ajst-19175 157 7 ei ei NOUN ajst-19175 157 8 sampling sample VERB ajst-19175 157 9 method method NOUN ajst-19175 157 10 maximizes maximize VERB ajst-19175 157 11 the the DET ajst-19175 157 12 variance variance NOUN ajst-19175 157 13 of of ADP ajst-19175 157 14 the the DET ajst-19175 157 15 sample sample NOUN ajst-19175 157 16 points point NOUN ajst-19175 157 17 , , PUNCT ajst-19175 157 18 resulting result VERB ajst-19175 157 19 in in ADP ajst-19175 157 20 a a DET ajst-19175 157 21 high high ADJ ajst-19175 157 22 degree degree NOUN ajst-19175 157 23 of of ADP ajst-19175 157 24 sample sample NOUN ajst-19175 157 25 dispersion dispersion NOUN ajst-19175 157 26 and and CCONJ ajst-19175 157 27 slower slow ADJ ajst-19175 157 28 convergence convergence NOUN ajst-19175 157 29 of of ADP ajst-19175 157 30 fitting fitting ADJ ajst-19175 157 31 accuracy accuracy NOUN ajst-19175 157 32 . . PUNCT ajst-19175 158 1 in in ADP ajst-19175 158 2 contrast contrast NOUN ajst-19175 158 3 , , PUNCT ajst-19175 158 4 the the DET ajst-19175 158 5 parallel parallel ADJ ajst-19175 158 6 sampling sampling NOUN ajst-19175 158 7 method method NOUN ajst-19175 158 8 incorporates incorporate VERB ajst-19175 158 9 historical historical ADJ ajst-19175 158 10 optimal optimal ADJ ajst-19175 158 11 points point NOUN ajst-19175 158 12 into into ADP ajst-19175 158 13 the the DET ajst-19175 158 14 samples sample NOUN ajst-19175 158 15 , , PUNCT ajst-19175 158 16 constructing construct VERB ajst-19175 158 17 a a DET ajst-19175 158 18 high high ADJ ajst-19175 158 19 - - PUNCT ajst-19175 158 20 precision precision NOUN ajst-19175 158 21 local local ADJ ajst-19175 158 22 surrogate surrogate ADJ ajst-19175 158 23 model model NOUN ajst-19175 158 24 that that PRON ajst-19175 158 25 satisfies satisfy VERB ajst-19175 158 26 the the DET ajst-19175 158 27 pareto pareto ADJ ajst-19175 158 28 frontier frontier NOUN ajst-19175 158 29 . . PUNCT ajst-19175 159 1 in in ADP ajst-19175 159 2 summary summary NOUN ajst-19175 159 3 , , PUNCT ajst-19175 159 4 when when SCONJ ajst-19175 159 5 constructing construct VERB ajst-19175 159 6 a a DET ajst-19175 159 7 surrogate surrogate ADJ ajst-19175 159 8 model model NOUN ajst-19175 159 9 for for ADP ajst-19175 159 10 medium medium ADJ ajst-19175 159 11 - - PUNCT ajst-19175 159 12 voltage voltage NOUN ajst-19175 159 13 high high ADJ ajst-19175 159 14 - - PUNCT ajst-19175 159 15 frequency frequency NOUN ajst-19175 159 16 transformers transformer NOUN ajst-19175 159 17 , , PUNCT ajst-19175 159 18 the the DET ajst-19175 159 19 parallel parallel ADJ ajst-19175 159 20 sampling sampling NOUN ajst-19175 159 21 method method NOUN ajst-19175 159 22 exhibits exhibit VERB ajst-19175 159 23 higher high ADJ ajst-19175 159 24 fitting fitting ADJ ajst-19175 159 25 accuracy accuracy NOUN ajst-19175 159 26 under under ADP ajst-19175 159 27 the the DET ajst-19175 159 28 same same ADJ ajst-19175 159 29 sample sample NOUN ajst-19175 159 30 conditions condition NOUN ajst-19175 159 31 . . PUNCT ajst-19175 160 1 acknowledgment acknowledgment NOUN ajst-19175 160 2 the the DET ajst-19175 160 3 authors author NOUN ajst-19175 160 4 gratefully gratefully ADV ajst-19175 160 5 acknowledge acknowledge VERB ajst-19175 160 6 the the DET ajst-19175 160 7 financial financial ADJ ajst-19175 160 8 support support NOUN ajst-19175 160 9 from from ADP ajst-19175 160 10 the the DET ajst-19175 160 11 national national ADJ ajst-19175 160 12 natural natural PROPN ajst-19175 160 13 science science PROPN ajst-19175 160 14 foundation foundation PROPN ajst-19175 160 15 of of ADP ajst-19175 160 16 china china PROPN ajst-19175 160 17 ( ( PUNCT ajst-19175 160 18 project project PROPN ajst-19175 160 19 no.52267018 no.52267018 PROPN ajst-19175 160 20 ) ) PUNCT ajst-19175 160 21 and and CCONJ ajst-19175 160 22 the the DET ajst-19175 160 23 doctoral doctoral ADJ ajst-19175 160 24 fund fund NOUN ajst-19175 160 25 of of ADP ajst-19175 160 26 henan henan PROPN ajst-19175 160 27 polytechnic polytechnic PROPN ajst-19175 160 28 university university PROPN ajst-19175 160 29 ( ( PUNCT ajst-19175 160 30 project project NOUN ajst-19175 160 31 no.b2016 no.b2016 PROPN ajst-19175 160 32 - - PUNCT ajst-19175 160 33 21 21 NUM ajst-19175 160 34 ) ) PUNCT ajst-19175 160 35 . . PUNCT ajst-19175 161 1 references reference NOUN ajst-19175 161 2 [ [ X ajst-19175 161 3 1 1 NUM ajst-19175 161 4 ] ] PUNCT ajst-19175 161 5 hong hong PROPN ajst-19175 161 6 jichao jichao PROPN ajst-19175 161 7 , , PUNCT ajst-19175 161 8 liang liang PROPN ajst-19175 161 9 fengwei fengwei PROPN ajst-19175 161 10 , , PUNCT ajst-19175 161 11 and and CCONJ ajst-19175 161 12 yang yang PROPN ajst-19175 161 13 jingsong jingsong PROPN ajst-19175 161 14 , , PUNCT ajst-19175 161 15 et et PROPN ajst-19175 161 16 al al PROPN ajst-19175 161 17 . . PUNCT ajst-19175 162 1 β€œ " PUNCT ajst-19175 162 2 the the DET ajst-19175 162 3 current current ADJ ajst-19175 162 4 status status NOUN ajst-19175 162 5 and and CCONJ ajst-19175 162 6 prospects prospect NOUN ajst-19175 162 7 of of ADP ajst-19175 162 8 the the DET ajst-19175 162 9 new new ADJ ajst-19175 162 10 energy energy NOUN ajst-19175 162 11 vehicle vehicle NOUN ajst-19175 162 12 industry industry NOUN ajst-19175 162 13 and and CCONJ ajst-19175 162 14 its its PRON ajst-19175 162 15 technological technological ADJ ajst-19175 162 16 development development NOUN ajst-19175 162 17 , , PUNCT ajst-19175 162 18 ” " PUNCT ajst-19175 162 19 in in ADP ajst-19175 162 20 science science PROPN ajst-19175 162 21 & & CCONJ ajst-19175 162 22 technology technology PROPN ajst-19175 162 23 review review PROPN ajst-19175 162 24 , , PUNCT ajst-19175 162 25 41nd 41nd ADJ ajst-19175 162 26 ed ed NOUN ajst-19175 162 27 . . PUNCT ajst-19175 162 28 vol vol NOUN ajst-19175 162 29 . . PROPN ajst-19175 162 30 5 5 NUM ajst-19175 162 31 , , PUNCT ajst-19175 162 32 2023 2023 NUM ajst-19175 162 33 , , PUNCT ajst-19175 162 34 pp pp ADJ ajst-19175 162 35 . . PUNCT ajst-19175 163 1 49 49 NUM ajst-19175 163 2 - - SYM ajst-19175 163 3 59 59 NUM ajst-19175 163 4 . . PUNCT ajst-19175 164 1 [ [ X ajst-19175 164 2 2 2 NUM ajst-19175 164 3 ] ] PUNCT ajst-19175 164 4 ye ye NUM ajst-19175 164 5 zhijun zhijun PROPN ajst-19175 164 6 , , PUNCT ajst-19175 164 7 lin lin PROPN ajst-19175 164 8 xiaoming xiaoming PROPN ajst-19175 164 9 , , PUNCT ajst-19175 164 10 tan tan PROPN ajst-19175 164 11 kaijia kaijia PROPN ajst-19175 164 12 et et PROPN ajst-19175 164 13 al al PROPN ajst-19175 164 14 . . PUNCT ajst-19175 165 1 β€œ " PUNCT ajst-19175 165 2 a a DET ajst-19175 165 3 review review NOUN ajst-19175 165 4 of of ADP ajst-19175 165 5 research research NOUN ajst-19175 165 6 on on ADP ajst-19175 165 7 high high ADJ ajst-19175 165 8 - - PUNCT ajst-19175 165 9 frequency frequency NOUN ajst-19175 165 10 transformer transformer NOUN ajst-19175 165 11 technology technology NOUN ajst-19175 165 12 , , PUNCT ajst-19175 165 13 ” " PUNCT ajst-19175 165 14 in in ADP ajst-19175 165 15 power power NOUN ajst-19175 165 16 system system NOUN ajst-19175 165 17 technology technology NOUN ajst-19175 165 18 , , PUNCT ajst-19175 165 19 45nd 45nd NOUN ajst-19175 165 20 ed ed NOUN ajst-19175 165 21 . . PUNCT ajst-19175 166 1 vol vol NOUN ajst-19175 166 2 . . PROPN ajst-19175 166 3 7 7 NUM ajst-19175 166 4 , , PUNCT ajst-19175 166 5 2021 2021 NUM ajst-19175 166 6 , , PUNCT ajst-19175 166 7 pp pp ADJ ajst-19175 166 8 . . PUNCT ajst-19175 167 1 2856 2856 NUM ajst-19175 167 2 - - SYM ajst-19175 167 3 2870 2870 NUM ajst-19175 167 4 . . PUNCT ajst-19175 168 1 [ [ X ajst-19175 168 2 3 3 NUM ajst-19175 168 3 ] ] PUNCT ajst-19175 168 4 song song NOUN ajst-19175 168 5 yibo yibo PROPN ajst-19175 168 6 and and CCONJ ajst-19175 168 7 li li PROPN ajst-19175 168 8 yaowei yaowei PROPN ajst-19175 168 9 . . PUNCT ajst-19175 169 1 β€œ " PUNCT ajst-19175 169 2 design design NOUN ajst-19175 169 3 of of ADP ajst-19175 169 4 high high ADJ ajst-19175 169 5 frequency frequency NOUN ajst-19175 169 6 transformer transformer NOUN ajst-19175 169 7 for for ADP ajst-19175 169 8 switching switch VERB ajst-19175 169 9 power power NOUN ajst-19175 169 10 supply supply NOUN ajst-19175 169 11 based base VERB ajst-19175 169 12 on on ADP ajst-19175 169 13 area area NOUN ajst-19175 169 14 product product NOUN ajst-19175 169 15 method method NOUN ajst-19175 169 16 , , PUNCT ajst-19175 169 17 ” " PUNCT ajst-19175 169 18 in in ADP ajst-19175 169 19 power power NOUN ajst-19175 169 20 & & CCONJ ajst-19175 169 21 energy energy NOUN ajst-19175 169 22 , , PUNCT ajst-19175 169 23 40nd 40nd ADJ ajst-19175 169 24 ed ed NOUN ajst-19175 169 25 . . PUNCT ajst-19175 169 26 vol vol NOUN ajst-19175 169 27 . . PROPN ajst-19175 169 28 5 5 NUM ajst-19175 169 29 , , PUNCT ajst-19175 169 30 2019 2019 NUM ajst-19175 169 31 , , PUNCT ajst-19175 169 32 pp pp ADJ ajst-19175 169 33 . . PUNCT ajst-19175 170 1 543 543 NUM ajst-19175 170 2 - - SYM ajst-19175 170 3 547 547 NUM ajst-19175 170 4 . . PUNCT ajst-19175 171 1 [ [ X ajst-19175 171 2 4 4 X ajst-19175 171 3 ] ] X ajst-19175 171 4 liu liu PROPN ajst-19175 171 5 fengjun fengjun PROPN ajst-19175 171 6 , , PUNCT ajst-19175 171 7 modern modern ADJ ajst-19175 171 8 high high ADJ ajst-19175 171 9 frequency frequency NOUN ajst-19175 171 10 switching switch VERB ajst-19175 171 11 power power NOUN ajst-19175 171 12 supply supply NOUN ajst-19175 171 13 technology technology NOUN ajst-19175 171 14 and and CCONJ ajst-19175 171 15 applications application NOUN ajst-19175 171 16 . . PUNCT ajst-19175 172 1 beijing beijing PROPN ajst-19175 172 2 : : PUNCT ajst-19175 172 3 electronic electronic ADJ ajst-19175 172 4 industry industry NOUN ajst-19175 172 5 press press NOUN ajst-19175 172 6 , , PUNCT ajst-19175 172 7 2008 2008 NUM ajst-19175 172 8 . . PUNCT ajst-19175 173 1 [ [ X ajst-19175 173 2 5 5 X ajst-19175 173 3 ] ] X ajst-19175 173 4 liu liu PROPN ajst-19175 173 5 daosheng daosheng PROPN ajst-19175 173 6 , , PUNCT ajst-19175 173 7 wei wei PROPN ajst-19175 173 8 bokai bokai PROPN ajst-19175 173 9 , , PUNCT ajst-19175 173 10 cai cai PROPN ajst-19175 173 11 changwan changwan PROPN ajst-19175 173 12 ea ea PROPN ajst-19175 173 13 al al PROPN ajst-19175 173 14 . . PROPN ajst-19175 173 15 β€œoptimization β€œoptimization PROPN ajst-19175 173 16 design design NOUN ajst-19175 173 17 of of ADP ajst-19175 173 18 amorphous amorphous ADJ ajst-19175 173 19 alloy alloy NOUN ajst-19175 173 20 dry dry ADJ ajst-19175 173 21 - - PUNCT ajst-19175 173 22 type type NOUN ajst-19175 173 23 transformers transformer NOUN ajst-19175 173 24 based base VERB ajst-19175 173 25 on on ADP ajst-19175 173 26 chaotic chaotic ADJ ajst-19175 173 27 adaptive adaptive ADJ ajst-19175 173 28 genetic genetic ADJ ajst-19175 173 29 algorithm algorithm NOUN ajst-19175 173 30 , , PUNCT ajst-19175 173 31 ” " PUNCT ajst-19175 173 32 in in ADP ajst-19175 173 33 high high ADJ ajst-19175 173 34 voltage voltage NOUN ajst-19175 173 35 apparatus apparatus NOUN ajst-19175 173 36 , , PUNCT ajst-19175 173 37 50nd 50nd NOUN ajst-19175 173 38 ed ed NOUN ajst-19175 173 39 . . PUNCT ajst-19175 173 40 vol vol NOUN ajst-19175 173 41 . . PROPN ajst-19175 174 1 10 10 NUM ajst-19175 174 2 , , PUNCT ajst-19175 174 3 2022 2022 NUM ajst-19175 174 4 , , PUNCT ajst-19175 174 5 pp pp ADJ ajst-19175 174 6 . . PUNCT ajst-19175 175 1 40 40 NUM ajst-19175 175 2 - - SYM ajst-19175 175 3 47 47 NUM ajst-19175 175 4 . . PUNCT ajst-19175 176 1 [ [ X ajst-19175 176 2 6 6 NUM ajst-19175 176 3 ] ] X ajst-19175 176 4 liang liang PROPN ajst-19175 176 5 zhan zhan PROPN ajst-19175 176 6 , , PUNCT ajst-19175 176 7 xie xie PROPN ajst-19175 176 8 baochang baochang PROPN ajst-19175 176 9 and and CCONJ ajst-19175 176 10 guo guo PROPN ajst-19175 176 11 bingtao bingtao PROPN ajst-19175 176 12 . . PUNCT ajst-19175 177 1 β€œ " PUNCT ajst-19175 177 2 a a DET ajst-19175 177 3 high high ADJ ajst-19175 177 4 frequency frequency NOUN ajst-19175 177 5 pie pie NOUN ajst-19175 177 6 transformer transformer NOUN ajst-19175 177 7 optimization optimization NOUN ajst-19175 177 8 design design NOUN ajst-19175 177 9 based base VERB ajst-19175 177 10 on on ADP ajst-19175 177 11 alo alo PROPN ajst-19175 177 12 algorithm algorithm PROPN ajst-19175 177 13 , , PUNCT ajst-19175 177 14 ” " PUNCT ajst-19175 177 15 in in ADP ajst-19175 177 16 power power NOUN ajst-19175 177 17 electronics electronic NOUN ajst-19175 177 18 , , PUNCT ajst-19175 177 19 55nd 55nd NOUN ajst-19175 177 20 ed ed NOUN ajst-19175 177 21 . . PUNCT ajst-19175 178 1 vol vol NOUN ajst-19175 178 2 . . PROPN ajst-19175 178 3 8 8 NUM ajst-19175 178 4 , , PUNCT ajst-19175 178 5 2021 2021 NUM ajst-19175 178 6 , , PUNCT ajst-19175 178 7 pp pp ADJ ajst-19175 178 8 . . PUNCT ajst-19175 179 1 1 1 NUM ajst-19175 179 2 - - SYM ajst-19175 179 3 4 4 NUM ajst-19175 179 4 . . PUNCT ajst-19175 180 1 [ [ X ajst-19175 180 2 7 7 X ajst-19175 180 3 ] ] X ajst-19175 180 4 liu liu PROPN ajst-19175 180 5 fugui fugui PROPN ajst-19175 180 6 , , PUNCT ajst-19175 180 7 jiang jiang PROPN ajst-19175 180 8 jiacheng jiacheng PROPN ajst-19175 180 9 and and CCONJ ajst-19175 180 10 zhao zhao PROPN ajst-19175 180 11 lin lin PROPN ajst-19175 180 12 . . PUNCT ajst-19175 181 1 β€œ " PUNCT ajst-19175 181 2 optimization optimization NOUN ajst-19175 181 3 design design NOUN ajst-19175 181 4 of of ADP ajst-19175 181 5 high high ADJ ajst-19175 181 6 - - PUNCT ajst-19175 181 7 frequency frequency NOUN ajst-19175 181 8 transformers transformer NOUN ajst-19175 181 9 based base VERB ajst-19175 181 10 on on ADP ajst-19175 181 11 improved improve VERB ajst-19175 181 12 moto moto NOUN ajst-19175 181 13 algorithm algorithm NOUN ajst-19175 181 14 , , PUNCT ajst-19175 181 15 ” " PUNCT ajst-19175 181 16 in in ADP ajst-19175 181 17 electrical electrical ADJ ajst-19175 181 18 measurement measurement NOUN ajst-19175 181 19 & & CCONJ ajst-19175 181 20 instrumentation instrumentation NOUN ajst-19175 181 21 , , PUNCT ajst-19175 181 22 59nd 59nd ADJ ajst-19175 181 23 ed ed NOUN ajst-19175 181 24 . . PUNCT ajst-19175 181 25 vol vol NOUN ajst-19175 181 26 . . PROPN ajst-19175 181 27 8 8 NUM ajst-19175 181 28 , , PUNCT ajst-19175 181 29 2022 2022 NUM ajst-19175 181 30 , , PUNCT ajst-19175 181 31 pp pp ADJ ajst-19175 181 32 . . PUNCT ajst-19175 182 1 105 105 NUM ajst-19175 182 2 - - SYM ajst-19175 182 3 111 111 NUM ajst-19175 182 4 . . PUNCT ajst-19175 183 1 [ [ X ajst-19175 183 2 8 8 NUM ajst-19175 183 3 ] ] X ajst-19175 183 4 bin bin PROPN ajst-19175 183 5 xia xia PROPN ajst-19175 183 6 , , PUNCT ajst-19175 183 7 seokyeon seokyeon PROPN ajst-19175 183 8 hong hong PROPN ajst-19175 183 9 , , PUNCT ajst-19175 183 10 kyung kyung PROPN ajst-19175 183 11 choi choi PROPN ajst-19175 183 12 , , PUNCT ajst-19175 183 13 et et PROPN ajst-19175 183 14 al al PROPN ajst-19175 183 15 . . PUNCT ajst-19175 184 1 β€œ " PUNCT ajst-19175 184 2 optimal optimal ADJ ajst-19175 184 3 design design NOUN ajst-19175 184 4 of of ADP ajst-19175 184 5 winding wind VERB ajst-19175 184 6 transposition transposition NOUN ajst-19175 184 7 of of ADP ajst-19175 184 8 power power NOUN ajst-19175 184 9 transformer transformer NOUN ajst-19175 184 10 using use VERB ajst-19175 184 11 adaptive adaptive ADJ ajst-19175 184 12 co co ADJ ajst-19175 184 13 - - ADJ ajst-19175 184 14 kriging krige VERB ajst-19175 184 15 surrogate surrogate ADJ ajst-19175 184 16 model model NOUN ajst-19175 184 17 , , PUNCT ajst-19175 184 18 ” " PUNCT ajst-19175 184 19 in in ADP ajst-19175 184 20 ieee ieee NOUN ajst-19175 184 21 transactions transaction NOUN ajst-19175 184 22 on on ADP ajst-19175 184 23 magnetics magnetic NOUN ajst-19175 184 24 , , PUNCT ajst-19175 184 25 53nd 53nd PROPN ajst-19175 184 26 ed ed NOUN ajst-19175 184 27 . . PUNCT ajst-19175 185 1 vol vol NOUN ajst-19175 185 2 . . PROPN ajst-19175 186 1 6 6 NUM ajst-19175 186 2 , , PUNCT ajst-19175 186 3 2017 2017 NUM ajst-19175 186 4 , , PUNCT ajst-19175 186 5 pp pp ADJ ajst-19175 186 6 . . PUNCT ajst-19175 187 1 7203904 7203904 NUM ajst-19175 187 2 . . PUNCT ajst-19175 188 1 [ [ X ajst-19175 188 2 9 9 NUM ajst-19175 188 3 ] ] X ajst-19175 188 4 syed syed ADJ ajst-19175 188 5 shadab shadab PROPN ajst-19175 188 6 , , PUNCT ajst-19175 188 7 j. j. PROPN ajst-19175 188 8 hozefa hozefa PROPN ajst-19175 188 9 , , PUNCT ajst-19175 188 10 k. k. PROPN ajst-19175 188 11 sonam sonam PROPN ajst-19175 188 12 , , PUNCT ajst-19175 188 13 et et PROPN ajst-19175 188 14 al al PROPN ajst-19175 188 15 . . PUNCT ajst-19175 189 1 β€œ " PUNCT ajst-19175 189 2 gaussian gaussian ADJ ajst-19175 189 3 process process NOUN ajst-19175 189 4 surrogate surrogate ADJ ajst-19175 189 5 model model NOUN ajst-19175 189 6 for for ADP ajst-19175 189 7 an an DET ajst-19175 189 8 effective effective ADJ ajst-19175 189 9 life life NOUN ajst-19175 189 10 assessment assessment NOUN ajst-19175 189 11 of of ADP ajst-19175 189 12 transformer transformer NOUN ajst-19175 189 13 considering consider VERB ajst-19175 189 14 model model NOUN ajst-19175 189 15 and and CCONJ ajst-19175 189 16 measurement measurement NOUN ajst-19175 189 17 uncertainties uncertainty NOUN ajst-19175 189 18 , , PUNCT ajst-19175 189 19 ” " PUNCT ajst-19175 189 20 in in ADP ajst-19175 189 21 international international ADJ ajst-19175 189 22 journal journal NOUN ajst-19175 189 23 of of ADP ajst-19175 189 24 electrical electrical ADJ ajst-19175 189 25 power power NOUN ajst-19175 189 26 & & CCONJ ajst-19175 189 27 energy energy NOUN ajst-19175 189 28 systems system NOUN ajst-19175 189 29 , , PUNCT ajst-19175 189 30 134nd 134nd PROPN ajst-19175 189 31 ed ed NOUN ajst-19175 189 32 , , PUNCT ajst-19175 189 33 2022 2022 NUM ajst-19175 189 34 , , PUNCT ajst-19175 189 35 pp pp ADJ ajst-19175 189 36 . . PUNCT ajst-19175 189 37 107401 107401 NUM ajst-19175 189 38 . . PUNCT ajst-19175 190 1 [ [ X ajst-19175 190 2 10 10 NUM ajst-19175 190 3 ] ] X ajst-19175 190 4 slawomir slawomir PROPN ajst-19175 190 5 kozuel kozuel PROPN ajst-19175 190 6 and and CCONJ ajst-19175 190 7 anna anna PROPN ajst-19175 190 8 pietrenko pietrenko PROPN ajst-19175 190 9 - - PUNCT ajst-19175 190 10 dabrowska dabrowska NOUN ajst-19175 190 11 . . PUNCT ajst-19175 191 1 β€œ " PUNCT ajst-19175 191 2 rapid rapid ADJ ajst-19175 191 3 optimization optimization NOUN ajst-19175 191 4 of of ADP ajst-19175 191 5 compact compact ADJ ajst-19175 191 6 microwave microwave NOUN ajst-19175 191 7 passives passive NOUN ajst-19175 191 8 using use VERB ajst-19175 191 9 kriging krige VERB ajst-19175 191 10 surrogates surrogate NOUN ajst-19175 191 11 and and CCONJ ajst-19175 191 12 iterative iterative NOUN ajst-19175 191 13 correction correction NOUN ajst-19175 191 14 , , PUNCT ajst-19175 191 15 ” " PUNCT ajst-19175 191 16 in in ADP ajst-19175 191 17 ieee ieee NOUN ajst-19175 191 18 access access NOUN ajst-19175 191 19 , , PUNCT ajst-19175 191 20 8nd 8nd ADJ ajst-19175 191 21 ed ed NOUN ajst-19175 191 22 . . PUNCT ajst-19175 191 23 2020 2020 NUM ajst-19175 191 24 , , PUNCT ajst-19175 191 25 pp pp ADV ajst-19175 191 26 . . PUNCT ajst-19175 192 1 53587 53587 NUM ajst-19175 192 2 - - SYM ajst-19175 192 3 53594 53594 NUM ajst-19175 192 4 . . PUNCT ajst-19175 193 1 [ [ X ajst-19175 193 2 11 11 NUM ajst-19175 193 3 ] ] X ajst-19175 193 4 mohamed mohamed PROPN ajst-19175 193 5 a. a. PROPN ajst-19175 193 6 bouhlel bouhlel PROPN ajst-19175 193 7 , , PUNCT ajst-19175 193 8 joaquim joaquim PROPN ajst-19175 193 9 r. r. PROPN ajst-19175 193 10 a. a. PROPN ajst-19175 193 11 martins martins PROPN ajst-19175 193 12 . . PUNCT ajst-19175 194 1 β€œ " PUNCT ajst-19175 194 2 gradientenhanced gradientenhance VERB ajst-19175 194 3 kriging krige VERB ajst-19175 194 4 for for ADP ajst-19175 194 5 high high ADJ ajst-19175 194 6 - - PUNCT ajst-19175 194 7 dimensional dimensional ADJ ajst-19175 194 8 problems problem NOUN ajst-19175 194 9 , , PUNCT ajst-19175 194 10 ” " PUNCT ajst-19175 194 11 in in ADP ajst-19175 194 12 engineering engineer VERB ajst-19175 194 13 with with ADP ajst-19175 194 14 computers computer NOUN ajst-19175 194 15 , , PUNCT ajst-19175 194 16 35nd 35nd NOUN ajst-19175 194 17 ed ed NOUN ajst-19175 194 18 , , PUNCT ajst-19175 194 19 2019 2019 NUM ajst-19175 194 20 , , PUNCT ajst-19175 194 21 pp pp ADJ ajst-19175 194 22 . . PUNCT ajst-19175 195 1 157 157 NUM ajst-19175 195 2 - - SYM ajst-19175 195 3 173 173 NUM ajst-19175 195 4 . . PUNCT ajst-19175 196 1 [ [ X ajst-19175 196 2 12 12 NUM ajst-19175 196 3 ] ] PUNCT ajst-19175 196 4 fannian fannian PROPN ajst-19175 196 5 meng meng PROPN ajst-19175 196 6 , , PUNCT ajst-19175 196 7 ziqi ziqi PROPN ajst-19175 196 8 zhang zhang PROPN ajst-19175 196 9 , , PUNCT ajst-19175 196 10 liangwen liangwen PROPN ajst-19175 196 11 wang wang PROPN ajst-19175 196 12 . . PUNCT ajst-19175 197 1 β€œ " PUNCT ajst-19175 197 2 volute volute ADJ ajst-19175 197 3 optimization optimization NOUN ajst-19175 197 4 based base VERB ajst-19175 197 5 on on ADP ajst-19175 197 6 self self NOUN ajst-19175 197 7 - - PUNCT ajst-19175 197 8 adaption adaption NOUN ajst-19175 197 9 kriging krige VERB ajst-19175 197 10 surrogate surrogate ADJ ajst-19175 197 11 model model NOUN ajst-19175 197 12 , , PUNCT ajst-19175 197 13 ” " PUNCT ajst-19175 197 14 in in ADP ajst-19175 197 15 international international ADJ ajst-19175 197 16 journal journal NOUN ajst-19175 197 17 of of ADP ajst-19175 197 18 chemical chemical PROPN ajst-19175 197 19 engineering engineering NOUN ajst-19175 197 20 , , PUNCT ajst-19175 197 21 2022 2022 NUM ajst-19175 197 22 , , PUNCT ajst-19175 197 23 pp pp ADJ ajst-19175 197 24 . . PUNCT ajst-19175 197 25 6799201 6799201 NUM ajst-19175 197 26 . . PUNCT ajst-19175 198 1 [ [ X ajst-19175 198 2 13 13 NUM ajst-19175 198 3 ] ] PUNCT ajst-19175 198 4 shen shen PROPN ajst-19175 198 5 wei wei PROPN ajst-19175 198 6 , , PUNCT ajst-19175 198 7 wang wang PROPN ajst-19175 198 8 fei fei PROPN ajst-19175 198 9 . . PUNCT ajst-19175 199 1 β€œ " PUNCT ajst-19175 199 2 loss loss NOUN ajst-19175 199 3 characterization characterization NOUN ajst-19175 199 4 and and CCONJ ajst-19175 199 5 calculation calculation NOUN ajst-19175 199 6 of of ADP ajst-19175 199 7 nanocrystalline nanocrystalline ADJ ajst-19175 199 8 cores core NOUN ajst-19175 199 9 for for ADP ajst-19175 199 10 high high ADJ ajst-19175 199 11 - - PUNCT ajst-19175 199 12 frequency frequency NOUN ajst-19175 199 13 magnetics magnetic NOUN ajst-19175 199 14 applications application NOUN ajst-19175 199 15 , , PUNCT ajst-19175 199 16 ” " PUNCT ajst-19175 199 17 in in ADP ajst-19175 199 18 ieee ieee NOUN ajst-19175 199 19 transactions transaction NOUN ajst-19175 199 20 on on ADP ajst-19175 199 21 power power NOUN ajst-19175 199 22 electronics electronic NOUN ajst-19175 199 23 , , PUNCT ajst-19175 199 24 23nd 23nd ADJ ajst-19175 199 25 ed ed NOUN ajst-19175 199 26 . . PUNCT ajst-19175 199 27 vol vol NOUN ajst-19175 199 28 . . PROPN ajst-19175 199 29 1 1 NUM ajst-19175 199 30 , , PUNCT ajst-19175 199 31 2008 2008 NUM ajst-19175 199 32 , , PUNCT ajst-19175 199 33 pp pp ADJ ajst-19175 199 34 . . PUNCT ajst-19175 200 1 475 475 NUM ajst-19175 200 2 - - SYM ajst-19175 200 3 484 484 NUM ajst-19175 200 4 . . PUNCT