International Journal of Advanced Science and Technology

8

Authors: Lingxiang Xiang, Jiangwei Huang and Tianzhou Chen

Power consumption is becoming a primary concern as a result of tremendous increasing in computer power usage. Innumerable methods and techniques have been exploited to address this problem but few concentrate on collaborative approaches. This paper presents coordination mechanisms that integrate operating systems with compilers under power reduction techniques such as DPM and DVS. By remaining the information generated at compile stage about an application’s structure and performance characteristics as much as possible and committing it to system software at run stage, the system software, especially the operation system and compiler, are collaborating toward file-grain power optimizations. The proposed coordination mechanisms also make it possible to integrate the power optimization approaches in our prior work into a whole system. Thus, the optimizations working at distinct levels can be overlaid at run time, and the power reduction effect can be enhanced.

8

Authors: ZHAO Xin, WANG Xiao-dong

The proposed broadcast authentication protocols for wireless sensor networks can be divided into two categories: protocols based on digital signature and protocols based on improved message authentication code. This paper implements and evaluates the performance of two broadcast authentication: TinyECC, which is based on ECDSA, and GBA, which is based on improved MAC. Through analysis of the performance difference of the two protocols, this paper proposes a hybrid broadcast authentication protocol (HBA). HBA achieves an appropriate compromise of security and performance according to packet value. The analysis and experiments show that HBA is efficient and practical.

10

Authors: Youn-Gyou Kook, Jae-Oh Lee, Woon-Yong Kim

This paper presents a data gathering for Advanced Process Control (APC) in FA (Factory Automation). It is important that the gathered data in FA to control all the processing, to be a predictive maintenance of equipments and manage products. We gathered the entire data of all in FA through Equipment Engineering System (EES) and analyzed that to control a processing, predict the next processing and manage the various things for the enhancement of productivity, overall equipment efficiency, product yield and quality. And we enabled APC to operate micro process control by gathering data from the process control system not only in the current process in real time but also in past process through back-tracking of products [1, 5]. So, we control micro process based on the acquired data using simulating functionality using APC. This simulation produces the outcome of the data analysis and the operation of micro process control that leads to reduce errors. The proposed the data gathering system based on agent brings an efficient management of micro process control in automated processing. It is optimized in the semi-conductor and the flat panel display (FPD) industry.

14

Authors: Wang Lei, Wang Tongsen, Yang Ronghua

A new distributed algorithm of data ccompression based on hierarchical cluster model for sensor networks is proposed, the basic ideas of which are as follows, firstly the whole sensor network is mapped into a kind of hierarchical clusters model, and then different wavelet transform models are used to commit data compression in inner and super clusters respectively, according to the relative regularity of sensor nodes deployed in the inner clusters, and the relative irregularity of sensor nodes deployed in super cluster. Theoretical analyses and simulation results show that, the above new methods have good performance of approximation, and can compress data and reduce the amount of data efficiently. So, it can prolong the lifetime of the whole sensor network to a greater degree.