Quantifiably determining the electrical energy storage of solid-state supercapacitors is fulfilled by integrating electrochromic tungsten oxide electrodes.
Wireless Sensor Network (WSN)
BS). An improved version of LEACH, called Low-Energy Adaptive Clustering Hierarchycentralized (LEACH-C), is presented, where the central Base Station (BS) executes the clustering to improve energy efficiency. This paper presents an improvement of LEACH-C based on power, called Low-Energy Adaptive Clustering Hierarchy-central constrained (LEACH-CC), which balances energy distribution of network by means of changing range of nodes being cluster head. Stimulation results show that LEACH-CC can improve system lifetime over its comparatives.
In order to achieve convenient and rapid detection of pulse signal, a real-time detection system of photoelectric pulse signal based on Bluetooth transmission is proposed in this paper. The system mainly includes pulse sensor, Arduino processor board, Bluetooth modules and PC management platform. The pulse signal collected by pulse senor will be sent to Arduino processor board after being filtered and amplified. Then Arduino processor board will conduct A/D conversion and data processing on pulse signal. Thus pulse rate and time between heartbeats can be calculated, transmitted and displayed in real-time on PC management platform which is written by Processing Language. The results of the system test show that the pulse signal detection system implemented above can be served as practical application reliably.
The system of smart home can provide a kind of easier, ordered and effective life style to human, and must be the development tendency for future inhabitancy mode. Therefore, a smart home system solution is proposed in this paper. Firstly, this paper analyzes the characteristics of ZigBee technology, device types, network topologies and ZigBee protocol specification. Secondly, a design scheme of smart home system based on ZigBee technology is put forward and discussed. Then, the hardware design of ZigBee nodes based on CC2530 chip is given in detail. And, embedded programming software in each ZigBee node and user management platform software are implemented respectively using IAR and Microsoft Visual C++ 6.0. Finally, system test results show that the smart home system implemented above can be served as practical application reliably.
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