Что отличает каждый Тип личности в Дизайне человека. Как вести за собой команду в условиях неопределенности. Осознанный выбор точки приложения усилий. Какой самый редкий тип в дизайне человека? Как сделать правильный выбор на работе, в любви и в жизни. Манифесторы — в проявлении инициативы после предварительного информирования окружающих. Что мною движет? Устойчивость к кризисам. https://yh-human-design-gfh-ru-tve.hdof.ru
Received-signal-energy-based (RSS-based) machine-free localization (DFL) is a promising method since it is able to localize the particular person without attaching any electronic device. This technology requires measuring the RSS of all hyperlinks in the network constituted by a number of radio frequency (RF) sensors. It’s an vitality-intensive process, particularly when the RF sensors work in traditional work mode, by which the sensors immediately send raw RSS measurements of all hyperlinks to a base station (BS). The standard work mode is unfavorable for the facility constrained RF sensors as a result of the quantity of information supply increases dramatically because the number of sensors grows. In this paper, we propose a binary work mode by which RF sensors ship the link states as a substitute of uncooked RSS measurements to the BS, which remarkably reduces the amount of knowledge supply. Moreover, we develop two localization strategies for the binary work mode which corresponds to stationary and moving goal, respectively. The first localization technique is formulated based mostly on grid-based mostly most probability (GML), which is ready to attain global optimum with low on-line computational complexity. The second localization methodology, however, uses particle filter (PF) to track the target when constant snapshots of hyperlink stats can be found. Real experiments in two totally different sorts of environments had been carried out to guage the proposed methods. Experimental results show that the localization and monitoring efficiency below the binary work mode is comparable to the these in conventional work mode whereas the power effectivity improves significantly.
Что отличает каждый Тип личности в Дизайне человека. Как вести за собой команду в условиях неопределенности. Осознанный выбор точки приложения усилий. Какой самый редкий тип в дизайне человека? Как сделать правильный выбор на работе, в любви и в жизни. Манифесторы — в проявлении инициативы после предварительного информирования окружающих. Что мною движет? Устойчивость к кризисам.
https://yh-human-design-gfh-ru-tve.hdof.ru
Received-signal-energy-based (RSS-based) machine-free localization (DFL) is a promising method since it is able to localize the particular person without attaching any electronic device. This technology requires measuring the RSS of all hyperlinks in the network constituted by a number of radio frequency (RF) sensors. It’s an vitality-intensive process, particularly when the RF sensors work in traditional work mode, by which the sensors immediately send raw RSS measurements of all hyperlinks to a base station (BS). The standard work mode is unfavorable for the facility constrained RF sensors as a result of the quantity of information supply increases dramatically because the number of sensors grows. In this paper, we propose a binary work mode by which RF sensors ship the link states as a substitute of uncooked RSS measurements to the BS, which remarkably reduces the amount of knowledge supply. Moreover, we develop two localization strategies for the binary work mode which corresponds to stationary and moving goal, respectively. The first localization technique is formulated based mostly on grid-based mostly most probability (GML), which is ready to attain global optimum with low on-line computational complexity. The second localization methodology, however, uses particle filter (PF) to track the target when constant snapshots of hyperlink stats can be found. Real experiments in two totally different sorts of environments had been carried out to guage the proposed methods. Experimental results show that the localization and monitoring efficiency below the binary work mode is comparable to the these in conventional work mode whereas the power effectivity improves significantly.
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