{"id":"W2539771772","doi":"10.1109/dcis.2015.7388572","title":"FPGA implementation of SVPWM approximation","year":2015,"lang":"en","type":"article","venue":"","topic":"Multilevel Inverters and Converters","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université du Québec à Trois-Rivières","funders":"","keywords":"VHDL; Field-programmable gate array; Computer science; MATLAB; Pulse-width modulation; Key (lock); Hardware description language; Space vector; Software; Generator (circuit theory); Signal generator; SIGNAL (programming language); Scheme (mathematics); Electronic engineering; Embedded system; Computer hardware; Engineering; Electrical engineering; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001137221,0.0003579656,0.0002343607,0.0004334153,0.0001334335,0.0004530658,0.0005389557,0.0001839929,0.01296453],"category_scores_gemma":[0.0003212331,0.0001192816,0.0001242769,0.0002766087,0.00007280677,0.0002537978,0.000133954,0.0002521829,0.002425927],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002170304,"about_ca_system_score_gemma":0.0002224711,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009163014,"about_ca_topic_score_gemma":0.0008042307,"domain_scores_codex":[0.9998623,0.00002174281,0.00001020236,0.00002053139,0.00005857104,0.00002660702],"domain_scores_gemma":[0.9998919,0.00002659316,0.000009188557,0.00002144665,0.00004450418,0.00000645678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0009427594,0.0001438523,0.001465061,0.0008939788,0.00008285929,0.0008070519,0.0002405044,0.05099744,0.1486266,0.01378191,0.02239098,0.759627],"study_design_scores_gemma":[0.0004689494,0.00149212,0.00572608,0.0001819955,0.0001253241,0.002336606,0.0001486414,0.5079388,0.2997515,0.004599425,0.1771484,0.00008218439],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1253867,0.001464588,0.7703831,0.0003159793,0.000415658,0.000301229,0.0009909977,0.02697452,0.07376719],"genre_scores_gemma":[0.8030009,0.0004449639,0.1765495,0.0001520458,0.00005394172,0.0001453956,0.0008856171,0.0002420864,0.0185254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01296453,"threshold_uncertainty_score":0.0433706,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03144594296273735,"score_gpt":0.2584537272811296,"score_spread":0.2270077843183923,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}