The Experts below are selected from a list of 142710 Experts worldwide ranked by ideXlab platform
Wang Kai-feng - One of the best experts on this subject based on the ideXlab platform.
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Design Method of Wireless Sensor Network Node with Low Power Consumption
Computer Engineering, 2012Co-Authors: Wang Kai-fengAbstract:This paper proposes a design of Low Power Consumption Wireless Sensor Network(WSN) node.It uses Low Power Consumption energy-saving chip CC2530,and the self-organizing of WSN and the automatic collection of monitoring data are realized based on ZigBee technique.It gives the whole block diagram,the hardware design module and software design process.Taking the temperature acquisition system as an example,the experimental results prove the nodes designed by this method have Low Power Consumption and high accuracy.
Li Jin - One of the best experts on this subject based on the ideXlab platform.
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Low Power Consumption of RFID tags for vehicle management
Chinese Journal of Power Sources, 2013Co-Authors: Li JinAbstract:The overall architecture of RFID classification and passive RFID tags was discussed;the effects of Power generation circuit on the Low Power Consumption of RFID node were analyzed;the effect of rectifier circuit on the Low Power Consumption of RFID chip and the effect of reference voltage stabilizing circuit on the Low Power Consumption of node were quantitatively analyzed.The measures to improve the efficiency of the rectifier circuit and the stability of reference voltage stabilizing circuit were proposed to better the Power supply efficiency of RFID Power generating circuit.
Jindou Zhang - One of the best experts on this subject based on the ideXlab platform.
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Heat meter with ultra-Low-Power Consumption Microcontroller
2008 3rd IEEE Conference on Industrial Electronics and Applications, 2008Co-Authors: Yong Zhang, Xin Geng, Jindou ZhangAbstract:The metering principle of quantity of heat is introduced in detail. A metering method using k coefficient compensation function is stated, the accuracy of measurement is enhanced. The Low Power Consumption design is implemented based MSP430 microcontroller, including hardware and software. The heat meter can be remotely read by means of M-BUS. The principle of system and method of decreasing Power are discussed.
Masahiro Muraguchi - One of the best experts on this subject based on the ideXlab platform.
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An L-band ultra-Low-Power-Consumption monolithic Low-noise amplifier
IEEE Transactions on Microwave Theory and Techniques, 1995Co-Authors: Masashi Nakatsugawa, Y. Yamaguchi, Masahiro MuraguchiAbstract:A Low-Power Consumption variable-gain Low-noise amplifier (LNA) is demonstrated. To achieve Low noise, Low distortion, and Low Power Consumption simultaneously, a cascode connection between an enhancement-mode GaAs MESFET (EFET) and a depletion-mode GaAs MESFET (DFET) is employed. The EFET is superior to the DFET in its gain and noise figure performance while the DFET offers good intermodulation distortion performance. The advantages of both types of FET's are combined in the developed LNA. It shows excellent performance with an NF of 2.0 dB, a gain of 12.2 dB, and an IP/sub 3/ of 5.1 dBm at 1.9 GHz. The demonstrated performance satisfies the specifications of the Japanese Personal Handyphone System even at the ultra-Low Power Consumption of 2.0 mW. >
J H Li - One of the best experts on this subject based on the ideXlab platform.
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Energy-Based Sound Source Localization with Low Power Consumption in Wireless Sensor Networks
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017Co-Authors: F Deng, X H Yue, X D Gu, J Y Lv, S. P. Guan, Jin Chen, J H LiAbstract:In this study, we show that the energy-based method of sound source localization can be successfully exploited for sound source localization under Low Power Consumption conditions. Sound source localization is widely applied in battlefield environments where Low Power Consumption is especially crucial and necessary for extending the lifespan of sensor nodes. We propose several variables that may (possibly) affect the path loss exponent. We provide data that shows that energy-based methods of sound source localization can accurately determine the appropriate path loss exponent and can improve localization accuracy. The results of our study also demonstrate that energy-based methods of sound source localization can significantly reduce localization errors by adjusting sensors' weight coefficients when ambient (background) noise exists. Our test results indicate that our method of source localization using Low Power Consumption is consistently accurate and is able to determine sound source localization multiple times over an extended period.
