{"apiVersion":"1","version":"sha256:faade27e0b75b2aca6311142ff65347b4dacc153e8d28cbdf0e8a237319331f9","data":{"id":"S7575","title":"Modeling a Sensor to Improve its Efficacy","authors":["Nabin K. Malakar","Daniil Gladkov","Kevin H. Knuth"],"publishedDate":"2013-03-18","format":"Paper","url":"https://arxiv.org/pdf/1303.4385","summary":"A calibrated light-sensor model helps a robot locate a known white circle with fewer reported measurements. The task uses fixed lighting, distance and prior shape assumptions. Supplied uncertainty values are missing, and native equation, count and date discrepancies remain unresolved. These results do not establish general object recognition or UAP performance.","subjects":["Sensor calibration","Bayesian inference","Measurement design"],"people":["Kevin Knuth"],"review":{"label":"Complete supplied18-page preprint read; final version and raw gaps","scope":"All18 supplied PDF pages and47,179 extracted characters were read in nine complete two-page returns. All layouts, eight figures, Table1, twenty equations and nineteen references were inspected, with three enlarged mathematical/result crops. Root matched every native page text to the actual returns. Native v1 stamp and arXiv history say March18,2013; title and PDF metadata say July31,2021. The final eleven-page journal article remains a crosslink, without verified text or equivalence.","gaps":["The known-circle task used a light sensor at14mm in a dark room. Calibration and displayed agreement use dependent data; no held-out validation, general unknown-object test or independent reproduction is supplied.","Means26 and16 measurements are printed with plus/minus signs but no uncertainty magnitudes. Trial count and distribution are absent. Native Eq6 Gaussian exponent/prefactor and Eq10 index conflicts remain unrepaired; implementation is unknown.","Prose6N+2 versus table6N parameters and later25bits versus26mean measurements remain unexplained. Raw readings, prior bounds, code, model sensitivity and final journal version are unreviewed.","Knuth’s specific experimental role and additional conflicts are unstated; funding is disclosed. Native glyph/font and version limitations remain. A sensor-method paper does not validate an unrelated UAP claim or programme."]},"familyId":"ARXIV-1303.4385-V1","citationUrl":"https://bioparity.io/sources/S7575","citation":"Nabin K. Malakar, Daniil Gladkov, Kevin H. Knuth. Modeling a Sensor to Improve its Efficacy. March 18, 2013. BioParity S7575. https://bioparity.io/sources/S7575"}}