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Advances in simulated modeling of vibration systems based on computational intelligence

自然科学进展(英文版) 2002年第12期12卷 881-886页

作者： LIANG Yanchun LEE Heow Pueh LIN Wuzhong LIM Siak Piang LEE Kwok Hong Zhou Chunguang College of Computer Science and Technology Jilin University Changchun 130012 China Institute of High Performance Computing Singapore 117528 Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sci Institute of High Performance Computing Singapore 117528 Department of Mechanical Engineering National University of Singapore Singapore 119260 Singapore College of Computer Science and Technology Jilin University Changchun 130012 China

Computational intelligence is the computational simulation of the bio-intelligence, which includes artificial neural networks, fuzzy systems and evolutionary computations. This article summarizes the state of the art in the field of simulated modeling of vibration systems using methods of computational intelligence, based on some relevant subjects and the authors' own research work. First, contributions to the applications of computational intelligence to the identification of nonlinear characteristics of packaging are reviewed. Subsequently, applications of the newly developed training algorithms for feedforward neural networks to the identification of restoring forces in multi-degree-of-freedom nonlinear systems are discussed. Finally, the neural-network-based method of model reduction for the dynamic simulation of microelectromechanical systems (MEMS) using generalized Hebbian algorithm (GHA) and robust GHA is outlined. The prospects of the simulated modeling of vibration systems using techniques of computational intelligence are also indicated.

关键词： computational intelligence artificial neural network fuzzy system evolutionary computation vibration system

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Using grid computing and PVFS2 technologies for construction of an e-learning environment

Using grid computing and PVFS2 technologies for construction...

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5th IEEE International Conference on Advanced Learning Technologies, ICALT 2005

作者： Yang, Chao-Tung Ho, Hsin-Chuan Pan, Chien-Tung High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan

ISBN: (纸本)0769523382

In recent years, e-Learning has become a popular method of learning. Generally, an e-Learning Platform which provided multi-media content required a high capacity storage device such as NAS (Network Attached Storage) or SAN (Storage Area Network). However, many schools with insufficient budgets cannot afford this type of expensive equipment. Thus, we employ Grid computing and PVFS (Parallel Virtual file system) technology to integrate the idling storage resources in the school as a means to substitute the purchase of an expensive high-level storage server. In this research we will link several sets of PCs in the school to make them armed with the storage and computing capacity like that of a high-end server. We hope the goal of sharing and reuse of resources among the schools can be achieved. © 2005 IEEE.

关键词： Distributed computer systems

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Using data grid technologies to construct a digital library environment

Using data grid technologies to construct a digital library ...

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ITRE 2005 - 3rd International Conference on Information Technology: Research and Education

作者： Yang, Chao-Tung Ho, Hsin-Chuan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 40704 Taiwan

ISBN: (纸本)0780389328

Since the beginning of the 21st century, knowledge has been accumulating at a tremendous speed. Access to global books, literature, and data are continually increasing in large quantities. With the development of Internet and the rapid advancement of information technology, a new knowledge transfer model has been developed: Books and other forms of digitized data provide readers with the most convenient methods to search for and obtain library content. We propose a Global Digital Library Grid concept This digital library organization is not only to include new members (new libraries or new museums) flexibility, but also not affect the system and framework of the original Grid member. As the organization grows, it will form an enormous Virtual Grid Digital Library to provide readers with speedy Knowledge Service that will meet their individual requirements. © 2005 IEEE.

关键词： Digital libraries

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An overview of the haplotype problems and algorithms

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中国高等学校学术文摘·计算机科学 2007年第3期1卷 272-282页

作者： ZHAO Yuzhong XU Yun ZHANG Qiangfeng CHEN Guoliang Computer Science Department University of Science and Technology of ChinaHefei 230027China Anhui Province-MOST Co-Key Laboratory of High Performance Computing and Its Application Hefei 230027China

A single nucleotide polymorphism (SNP),as the most common form of genetic variation,has been widely studied to help analyze the possible association between diseases and *** gain more information,SNPs on a single chromosome are usually studied together,which constitute a *** haplotypes from biological experiments is usually very costly and time-consuming,which causes people to develop efficient methods to determine haplotypes from the computational *** problems and algorithms about haplotypes have been proposed to reduce the cost of studies of disease *** general,four categories of problems are widely researched:the haplotype assembly problem,the haplotype inference problem,the haplotype block partition problem,and the haplotype tagging SNP selection *** former two problems have been well reviewed by many researchers,whereas the latter two have not been comprehensively surveyed to our *** this paper,we try to make a detailed introduction to the four problems,especially the latter two.

关键词： bioinformatics haplotype single nucleotide polymorphism (SNP) algorithm complexity

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Understanding co-run performance on CPU-GPU integrated processors： observations, insights, directions

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Frontiers of computer science 2017年第1期11卷 130-146页

作者： Qi ZHU Bo WU Xipeng SHEN Kai SHEN Li SHEN Zhiying WANG National Key Laboratory of High Performance Computing National University of Defense Technology Changsha 410073 China Department of Computer Science North Carolina State University Raleigh NC 27695 USA Department of Electrical Engineering & Computer Science Colorado School of Mines Golden CO 80401 USA Department of Computer Science University of Rochester Rochester NY 14627 USA

Recent years have witnessed a processor develop- ment trend that integrates central processing unit （CPU） and graphic processing unit （GPU） into a single chip. The inte- gration helps to save some host-device data copying that a discrete GPU usually requires, but also introduces deep re- source sharing and possible interference between CPU and GPU. This work investigates the performance implications of independently co-running CPU and GPU programs on these platforms. First, we perform a comprehensive measurement that covers a wide variety of factors, including processor ar- chitectures, operating systems, benchmarks, timing mecha- nisms, inputs, and power management schemes. These mea- surements reveal a number of surprising observations. We an- alyze these observations and produce a list of novel insights, including the important roles of operating system （OS） con- text switching and power management in determining the program performance, and the subtle effect of CPU-GPU data copying. Finally, we confirm those insights through case studies, and point out some promising directions to mitigate anomalous performance degradation on integrated heteroge- neous processors.

关键词： performance analysis GPGPU co-run degrada-tion fused processor program transformation

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Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G

arXiv

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arXiv 2025年

作者： Zhang, Jiayi Liu, Ziheng Zhu, Yiyang Shi, Enyu Xu, Bokai Yuen, Chau Niyato, Dusit Debbah, Mérouane Jin, Shi Ai, Bo Shen, Xuemin School of Electronic and Information Engineering The Frontiers Science Center for Smart High-Speed Railway System Beijing jiaotong University Beijing100044 China School of Electrical and Electronics Engineering Nanyang Technological University 639798 Singapore College of Computing and Data Science Nanyang Technological University 639798 Singapore KU 6G Research Center Department of Computer and Information Engineering Khalifa University Abu Dhabi127788 United Arab Emirates CentraleSupelec University Paris-Saclay Gif-sur-Yvette91192 France National Mobile Communications Research Laboratory Southeast University Nanjing210096 China Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada

The introduction of intelligent interconnectivity between the physical and human worlds has attracted great attention for future sixth-generation (6G) networks, emphasizing massive capacity, ultra-low latency, and unparalleled reliability. Wireless distributed networks and multi-agent reinforcement learning (MARL), both of which have evolved from centralized paradigms, are two promising solutions for the great attention. Given their distinct capabilities, such as decentralization and collaborative mechanisms, integrating these two paradigms holds great promise for unleashing the full power of 6G, attracting significant research and development attention. This paper provides a comprehensive study on MARL-assisted wireless distributed networks for 6G. In particular, we introduce the basic mathematical background and evolution of wireless distributed networks and MARL, as well as demonstrate their interrelationships. Subsequently, we analyze different structures of wireless distributed networks from the perspectives of homogeneous and heterogeneous. Furthermore, we introduce the basic concepts of MARL and discuss two typical categories, including model-based and model-free. We then present critical challenges faced by MARL-assisted wireless distributed networks, providing important guidance and insights for actual implementation. We also explore an interplay between MARL-assisted wireless distributed networks and emerging techniques, such as information bottleneck and mirror learning, delivering in-depth analyses and application scenarios. Finally, we outline several compelling research directions for future MARL-assisted wireless distributed networks. Copyright © 2025, The Authors. All rights reserved.

关键词： Adversarial machine learning

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Using a performance-based skeleton to implement divisible load applications on grid computing environments

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Journal of Information science and engineering 2009年第1期25卷 59-81页

作者： Shih, Wen-Chung Yang, Chao-Tung Tseng, Shian-Shyong Department of Information Science and Applications Asia University Taichung 413 Taiwan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung 407 Taiwan Department of Computer Science National Chiao Tung University Hsinchu 300 Taiwan

Applications with divisible loads have such a rich source of parallelism that their parallelization can significantly reduce their total completion time on grid computing environments. However, it is a challenge for grid users, probably scientists and engineers, to develop their applications which can exploit the computing power of the grid. We propose a performance-based skeleton algorithm for implementing divisible load applications on grids. Following this skeleton, novice grid programmers can easily develop a high performance grid application. To examine the performance of programs developed by this approach, we apply this skeleton to implement three kinds of applications and conduct experiments on our grid test-bed. Experimental results show that programs implemented by this approach run more rapidly than those using conventional scheduling schemes.

关键词： Grid computing

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Eliminate self-interference misses of cache through modifying data layout of arrays 4

Eliminate self-interference misses of cache through modifyin...

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4th International Conference/Exhibition on high performance computing in the Asia-Pacific Region, HPC-Asia 2000

作者： Lu, Xinda Chen, Jie High Performance Computing Laboratory Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai200030 China

ISBN: (纸本)0769505902

Loop tiling is an effective way to improve the cache hit ratio. However, while eliminating self-interference misses, tiling may produce small tiling factors for the cases of some arrays. In order to obtain stable and proper tiling factors, a new method that automatically generates tiling factors is proposed in this paper. These tiling factors are independent of arrays and can completely eliminate self-interference misses and can also significantly reduce cross-interference misses. © 2000 IEEE.

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A network bandwidth-ware job scheduling with dynamic information model for grid resource brokers

A network bandwidth-ware job scheduling with dynamic informa...

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3rd IEEE Asia-Pacific Services computing Conference, APSCC 2008

作者： Yang, Chao-Tung Leu, Fang-Yie Hu, Wen-Jen High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan

ISBN: (纸本)9780769534732

In this paper, we propose a resource broker, which providing a friendly interface for accessing available and appropriate resources via user credentials, is developed on a platform constructed by employing the Globus toolkit. This broker not only deploys a domainbased network information model and its dynamic version to measure network status by invoking Network Weather Service (NWS) on grid computing environments, but also uses the Ganglia and NWS tools to monitor resource status and network-related information. Based on the actual value of network bandwidth and preserving the advantages of our previous model, a network bandwidth-award job scheduling algorithm for grid resource brokerage is then developed for communication-intensive job execution. Furthermore, the network information and resource status collected are all up-to-date so that the resource broker can effectively match appropriate grid resources and users requests to improve execution.©2008 IEEE.

关键词： Scheduling algorithms

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A shareable e-Learning platform using data grid technology

A shareable e-Learning platform using data grid technology

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2005 IEEE International Conference on e-Technology, e-Commerce and e-Service, EEE-05

作者： Yang, Chao-Tung Ho, Hsin-Chuan High-Performance Computing Laboratory Department of Computer Science and Information Engineering Tunghai University Taichung City 40704 Taiwan

ISBN: (纸本)0769522742

Over the past decade, speed in the transmission of knowledge is no longer the way it used to be. Due to this influence, conventional educational methodology has also followed this trend and has gone through a momentous transformation. An excellent example is e-Learning which has achieved and broken through the restrictions of time and space. In recent years it has become one of the most popular teaching methods. SCORM (Sharable Course Object Reference Model) the most popular e-Learning standard has been adapted from many differing e-Leaming platforms. Normally, courseware meeting SCORM standards is sharable with other e-Leaming platforms. Most e-Learning platforms however are unable to share courseware directly on the Internet. With this in mind, we have employed one type of Grid computing technology called "Data Grid" in order to achieve this. This technology allows the integration of different SCORM platforms into a huge e-Learning environment. © 2005 IEEE.

关键词： Distance education

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