Intelligent Technologies and Engineering Systems by Hsien-Ju Ko, Kang-Ming Chang (auth.), Jengnan Juang,

By Hsien-Ju Ko, Kang-Ming Chang (auth.), Jengnan Juang, Yi-Cheng Huang (eds.)

This booklet concentrates on clever applied sciences because it pertains to engineering structures. The ebook covers the subsequent subject matters: networking, sign processing, man made intelligence, regulate and software program engineering, clever digital circuits and structures, communications, and fabrics and mechanical engineering. The publication is a set of unique papers which were reviewed by means of technical editors. those papers have been provided on the foreign convention on clever applied sciences and Engineering structures, held Dec. 13-15, 2012.

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Int J Comput Sci Eng 6(3):185–191 2. Hsieh M-Y, Lin H-Y, Yeh C-H, Li K-C, Wu BS (2012) A mobile application framework for rapid integration of ubiquitous web services. In: The 9th IEEE international conference on ubiquitous intelligence and computing, Fukuoka, 2012 3. Garrett N, Thoms B, Soffer M, Ryan T (2007) Extending the Elgg social networking system to enhance the campus conversation. In: Second annual design research in information systems (DESRIST), Pasadena, 2007, pp 14–15 4. Weng M, Chen Y-H, Yen N, Chang H-P, Shih T, Lin F (2012) A prototype of learning environment for social learning on Elgg social platform.

C. Li et al. 14 s, respectively. 6 %. 5 Conclusions The goals of this proposed research involves dynamic energy-aware management on the execution of independent workloads in hybrid CPU-GPU PARAvirtualization-computing platforms, aiming at optimizing the execution of workloads in appropriate computing resources concurrently while balancing the use of solely virtual or physical resources or hybridly selected resources, to achieve the best performance in executing application workloads and minimizing the energy associated with computation selected.

The simulation results are presented to demonstrate the effectiveness of the proposed method. Keywords Measurement fusion • General probabilistic neural network • Adaptive alpha-beta-gamma filter 1 Introduction Multisensor measurement fusion [1] is one of the most powerful estimation techniques presented in many applications such as autonomous navigation and target tracking. In tracking situations, it is noted that modern targets may maneuver wildly to cause the tracking systems resulting in performance degradation, even in filter divergence.

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