Jerk monitoring, defined as the first derivative of acceleration, has become a major issue in computerized numeric controlled ANÁLISIS DE LA DISCLOSURE DE LOS REQUERIMIENTOS DE PAGOS PÚBLICOS: INFLUENCIA DE LA LEGISLACIÓN Y FUNDAMENTOS DE LA TEORÍA CONTABLE (CNC) machines.Several works highlight the necessity of measuring jerk in a reliable way for improving production processes.Nowadays, the computation of jerk is done by finite differences of the acceleration signal, computed at the Nyquist rate, which leads to low signal-to-quantization noise ratio (SQNR) during the estimation.The novelty of this work is the development of a smart sensor for jerk monitoring from a standard accelerometer, which has improved SQNR.
The proposal is based on oversampling techniques that give a better Identification of wild-caught phlebotomine sand flies from Crete and Cyprus using DNA barcoding estimation of jerk than that produced by a Nyquist-rate differentiator.Simulations and experimental results are presented to show the overall methodology performance.