2014
DOI: 10.4028/www.scientific.net/amm.651-653.422
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Design and Implementation of the Power Watch Circuit of Groundwater Monitoring System

Abstract: According to the characteristics of groundwater monitoring system,such as the field work unattended, replace the battery problem,the sampling time is short and standby time is long,the method is used to extend the power of life that using the watchcircuit control system under different power state automatic switching.Considering the characteristics of the system that parameter configuration commands are complex,field sampling is diverse and the communication time is not stable,thepaper puts forward the measure… Show more

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“…From the above adjustments, it can be seen that if the population density of a power system data subpopulation does not change much, the algorithm randomly generates m individuals to join the subpopulation, which is conducive to improving the diversity of the subpopulation and the overall distribution of chromosomes to a certain extent; otherwise, if the population density of a power system data subpopulation increases, the algorithm randomly generates dN i dt individuals to join the population, if When the population density decreases, the dN i dt individuals with the smallest fitness are deleted. Through the continuous adjustment of the above algorithm, each power system data population can achieve the goal of co-evolution, improve the overall fitness of power system data population, 16 and enhance the competitiveness of power system data population in the evolutionary process.…”
Section: It Is Proved That the Posterior Density Of The Knowable Parametermentioning
confidence: 99%
“…From the above adjustments, it can be seen that if the population density of a power system data subpopulation does not change much, the algorithm randomly generates m individuals to join the subpopulation, which is conducive to improving the diversity of the subpopulation and the overall distribution of chromosomes to a certain extent; otherwise, if the population density of a power system data subpopulation increases, the algorithm randomly generates dN i dt individuals to join the population, if When the population density decreases, the dN i dt individuals with the smallest fitness are deleted. Through the continuous adjustment of the above algorithm, each power system data population can achieve the goal of co-evolution, improve the overall fitness of power system data population, 16 and enhance the competitiveness of power system data population in the evolutionary process.…”
Section: It Is Proved That the Posterior Density Of The Knowable Parametermentioning
confidence: 99%