{"id":"W2097394791","doi":"10.1186/1687-3963-2013-5","title":"FPGA based wireless sensor node with customizable event-driven architecture","year":2013,"lang":"en","type":"article","venue":"EURASIP Journal on Embedded Systems","topic":"Energy Efficient Wireless Sensor Networks","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Embedded system; Field-programmable gate array; Interrupt; Wireless sensor network; Modular design; Event (particle physics); Overhead (engineering); Sensor node; Node (physics); Event monitoring; Network packet; Key distribution in wireless sensor networks; Wireless; Real-time computing; Computer network; Wireless network; Operating system; Microcontroller","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001182179,0.0003554059,0.000197095,0.0002233535,0.000100858,0.0003021309,0.0007374219,0.0001867922,0.003255886],"category_scores_gemma":[0.0001826565,0.0001503728,0.0001728093,0.0001562348,0.000102684,0.0002532075,0.0001262116,0.0002330658,0.0005325087],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002316204,"about_ca_system_score_gemma":0.0002774714,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007852917,"about_ca_topic_score_gemma":0.00138822,"domain_scores_codex":[0.9998492,0.00002243491,0.00001146601,0.00003396651,0.00005800937,0.00002485443],"domain_scores_gemma":[0.999887,0.00002298395,0.00001928729,0.00002461753,0.00003706104,0.000008982622],"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":[0.00110736,0.0003462503,0.005001999,0.001094776,0.0002287416,0.001420686,0.0001739019,0.1508501,0.5200667,0.01273823,0.01215707,0.2948142],"study_design_scores_gemma":[0.0003306629,0.001940011,0.006537839,0.00007911521,0.0002034634,0.001655239,0.00005193744,0.5858076,0.3509759,0.001908087,0.05041625,0.00009385742],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2794135,0.0009963731,0.6797301,0.0001843072,0.0003716177,0.0005030808,0.0004232949,0.01049984,0.02787793],"genre_scores_gemma":[0.8673518,0.0002972934,0.1215411,0.0001337998,0.00002971399,0.0001315677,0.0003540001,0.00008408713,0.01007674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003255886,"threshold_uncertainty_score":0.01089197,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00922321415252499,"score_gpt":0.2151537474208337,"score_spread":0.2059305332683087,"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."}}