Wireless Backhaul Technology in Monitoring System for Subway OTN+WiMax

2013 ◽  
Vol 846-847 ◽  
pp. 680-683
Author(s):  
Xian Jie Feng

In the OTN+WiMax control system of Metro, the use of wireless backhaul can reduce costs and increase security. This paper presented a variety of OTN+WiMax hardware solution for Metro monitoring systems for wireless backhaul system by comparing the variety of chips; For WiMAX, Wi-Fi coexisting wireless backhaul situation, we put forward the hardware design using low-power high-speed chip of Infineon's SMARTi hardware design,, and pointed out that the design programme belongs to energy-saving green environmental. Also we used Intel WiMAX Connection 2,400 chip design hardware programme of wireless backhaul system for monitoring. At last, The software radio technology is applied to wireless backhaul system.

2013 ◽  
Vol 321-324 ◽  
pp. 2822-2827 ◽  
Author(s):  
Mao Qiang Duan ◽  
Xiao Li Huang

The characters of more high speed computing and much less low power dissipation are needed to settle for convolutional encodes. In this paper, we present a parallel method for convolutional encodes with SMIC 0.35μm CMOS technology; hardware design and VLSI implementation of this algorithm are also presented. Use this method, parallel circuits structure can be easily designed, which take on excellent characters of more high speed computing and low power dissipation compared with traditional serial shift register structure for convolutional encodes.


2018 ◽  
pp. 213-224
Author(s):  
James W. Haslett ◽  
Abdel-Fattah S. Yousif

The basic operation involved in any analog, digital, control system, DSP’s is addition. Performance and reliability of almost every digital system is depends on performance of adder. Over the decade, many adder architectures are proposed and still research work is going on adder to obtain the best results in power, delay and power delay product (PDP). In this paper we proposed one of the fastest adder architecture called Carry Select adder (CSA) and optimization is done for performance parameters like delay and power using GDI (Gate Diffused Input) and MTCMOS techniques. Implementation has been done in standard gpdk 90nm technology using Cadence tool.


2018 ◽  
pp. 143-149 ◽  
Author(s):  
Ruijie CHENG

In order to further improve the energy efficiency of classroom lighting, a classroom lighting energy saving control system based on machine vision technology is proposed. Firstly, according to the characteristics of machine vision design technology, a quantum image storage model algorithm is proposed, and the Back Propagation neural network algorithm is used to analyze the technology, and a multi­feedback model for energy­saving control of classroom lighting is constructed. Finally, the algorithm and lighting model are simulated. The test results show that the design of this paper can achieve the optimization of the classroom lighting control system, different number of signals can comprehensively control the light and dark degree of the classroom lights, reduce the waste of resources of classroom lighting, and achieve the purpose of energy saving and emission reduction. Technology is worth further popularizing in practice.


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