{"id":"W4298009701","doi":"10.18280/ts.390436","title":"A Novel Sobel Edge Detection Accelerator Based on Reconfigurable Architecture","year":2022,"lang":"en","type":"article","venue":"Traitement du signal","topic":"Advanced Computing and Algorithms","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Sobel operator; Computer science; Field-programmable gate array; Hardware acceleration; Edge detection; Acceleration; Enhanced Data Rates for GSM Evolution; Pixel; Embedded system; Image processing; Computer hardware; Artificial intelligence; Image (mathematics)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001111648,0.0004086527,0.0003264221,0.0005268905,0.0003240331,0.0004626776,0.001003441,0.0004549632,0.004024817],"category_scores_gemma":[0.0002716929,0.000250682,0.0003011671,0.0005323381,0.0001503972,0.000626176,0.0003066018,0.0004505569,0.0009177825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003095463,"about_ca_system_score_gemma":0.0005583101,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001216744,"about_ca_topic_score_gemma":0.001537328,"domain_scores_codex":[0.9998664,0.000009339241,0.00000786842,0.0000269781,0.00006072794,0.00002881482],"domain_scores_gemma":[0.9998314,0.00002820506,0.00002316293,0.0000227165,0.00007164031,0.00002281139],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001249086,0.000192423,0.002556781,0.0004624743,0.0001173753,0.001017713,0.0001279694,0.0325418,0.5076472,0.0169246,0.01611268,0.42105],"study_design_scores_gemma":[0.0002391457,0.001203743,0.0034522,0.00005334871,0.0001460418,0.001783881,0.00005414163,0.6969854,0.2333796,0.003962934,0.05860063,0.0001388764],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1194383,0.002096863,0.8490223,0.000437154,0.000619575,0.000190614,0.0003278181,0.009413853,0.01845348],"genre_scores_gemma":[0.689451,0.0006537779,0.2889026,0.0004987796,0.0001251136,0.0001259817,0.0004769358,0.0001495721,0.01961634],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004024817,"threshold_uncertainty_score":0.01346433,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02598363719525264,"score_gpt":0.2690751765710571,"score_spread":0.2430915393758044,"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."}}