{"id":"W3019115187","doi":"10.5539/cis.v13n2p32","title":"Control Design for Attitude and Position Based on Real Time Color Tracking System with Image Processing Technique","year":2020,"lang":"en","type":"article","venue":"Computer and Information Science","topic":"Advanced Measurement and Detection Methods","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Computer vision; Artificial intelligence; Tracking system; Image processing; Tracking (education); MATLAB; Video tracking; Position (finance); Video processing; Image (mathematics); Kalman filter","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":[0.0005321626,0.000558732,0.0004413379,0.0004339661,0.0004968868,0.001081481,0.0009162456,0.0005877455,0.002178368],"category_scores_gemma":[0.00065824,0.0002310722,0.0004371992,0.000347955,0.0004651641,0.0005863867,0.0003891543,0.000528536,0.0005550311],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000472553,"about_ca_system_score_gemma":0.0007578481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003043444,"about_ca_topic_score_gemma":0.001729149,"domain_scores_codex":[0.9993106,0.00008344966,0.00003843818,0.0002252032,0.0002851126,0.00005722206],"domain_scores_gemma":[0.9995814,0.00004618044,0.00007062896,0.00003220967,0.0002513457,0.00001826194],"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":[0.0006195228,0.0002837124,0.002230965,0.0009058945,0.0001895857,0.0003521234,0.0006177407,0.2278632,0.2020198,0.03476511,0.006370552,0.5237818],"study_design_scores_gemma":[0.0001202979,0.001080343,0.002318043,0.00006268481,0.0001220753,0.0003552885,0.00007464437,0.9292142,0.04267851,0.003472196,0.0204353,0.00006639071],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00617902,0.0002534995,0.9875808,0.00009141243,0.0001432728,0.00006482025,0.00001184824,0.0004561499,0.005219172],"genre_scores_gemma":[0.8272429,0.0008961289,0.156044,0.0002504478,0.0002156176,0.0003924594,0.0001012538,0.00007259305,0.01478463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003043444,"threshold_uncertainty_score":0.007287383,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01970633738744607,"score_gpt":0.2520032134879529,"score_spread":0.2322968761005068,"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."}}