{"id":"W2083800908","doi":"10.5539/cis.v1n1p20","title":"The Design of Switched Reluctance Motor Controller Based on DSP","year":2008,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Sensor and Control Systems","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Switched reluctance motor; Computer science; Waveform; Reluctance motor; Digital signal processing; Controller (irrigation); Power (physics); Control theory (sociology); Software; Control engineering; Computer hardware; Torque; Control (management); Telecommunications; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002280268,0.00005551851,0.00008160887,0.00005999519,0.0001910136,0.00003569851,0.0001368514,0.00001404697,6.848187e-7],"category_scores_gemma":[0.00002508753,0.00003602562,0.00001472798,0.0001717482,0.0001305845,0.0008907173,0.000008438792,0.0000399425,0.000007567217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001509425,"about_ca_system_score_gemma":0.00001788688,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.260842e-7,"about_ca_topic_score_gemma":3.157386e-8,"domain_scores_codex":[0.999445,0.000008560607,0.0001869098,0.00004631045,0.000202632,0.0001105527],"domain_scores_gemma":[0.9996057,0.0001130866,0.00004146476,0.0001156963,0.00008831872,0.00003570745],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006084263,0.000004835696,0.0001205805,0.00001804244,0.000004549028,3.54458e-7,0.0007881098,0.9578146,0.005142717,0.002297911,0.0004089754,0.0333385],"study_design_scores_gemma":[0.0003794665,0.00004549656,0.004233183,0.000008662104,5.802485e-7,0.000003184819,0.00001077936,0.9921067,0.0007029602,0.00002333179,0.00243931,0.00004630573],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01151121,0.00004992749,0.9863586,0.00002976305,0.0002150619,0.000166568,0.00000135272,0.00004836651,0.001619121],"genre_scores_gemma":[0.9970579,0.00003948159,0.002705629,0.0001590203,0.00002277671,0.000005789209,2.363366e-7,0.000001734124,0.000007413299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9855467,"threshold_uncertainty_score":0.1469141,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01099632098123578,"score_gpt":0.195058406704446,"score_spread":0.1840620857232102,"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."}}