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Developing an Automated Mechanism for Cluster computing in computerized Classroom

Procedia computer science 2011年 4卷 2068-2075页

作者： Shuen-Tai Wang Chin-Hung Li Hsi-Ya Chang Ying-Chuan Chen Ching-Hsien Hsu National Center for High-Performance Computing Taiwan Department of Computer Science and Information Engineering Chung Hua UniversityTaiwan

Scientific computing has become one of the key players in the advance of modern science and technologies. In the meantime, due to the success of developments in processor fabrication, the computing power of Personal computer (PC) is not to be ignored as well. Lots of high throughput type of applications can be satisfied by using the current desktop PCs, especially for those in computerized classrooms, and leave the supercomputers for the demands from large scale high performance parallel computations. The goal of this work is to develop an automated mechanism for cluster computing to utilize the computing power such as resides in computerized classroom. The PCs in computerized classroom are usually setup for education and training purpose during the daytime, and shut down at night. After well deployment, these PCs can be transformed into a pre-configured cluster computing resource immediately without touching the existing education/training environment installed on these PCs. Thus, the training activities will not be affected by this additional activity to harvest idle computing cycles. To echo today's energy saving issues, a dynamic power management is also developed to minimize energy cost. This development not only greatly reduces the management efforts and time to build a cluster, but also implies the reduction of the power consumption by such a mechanism.

关键词： Personal computer cluster computing computerized classroom dynamic power management

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Using spatial correlations in distributed video coding

Using spatial correlations in distributed video coding

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International Symposium on Artificial Intelligence and Signal Processing (AISP)

作者： Mahmood Fathy Mohammad Haqqani High Performance Computing Laboratory Computer engineering Department Iran University of Science and Technology Tehran Iran

Distributed video coding (DVC) is a new paradigm of coding that makes very interest to itself in the past decade. It's usually based on temporal correlations between successive frames which are called key frames. But this approach failed for high object motion in a scene and need very complex decoder to cover it. In this paper we propose a novel technique to use spatial correlation instead of temporal correlation in a frame by dividing a single frame to two sub frames which one of them is used as a key frame for generate side information at the decoder. Simulation results show a significant improvement on rate distortion parameter in DVC schema.

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A feature based frequency domain analysis algorithm for fault detection of induction motors

A feature based frequency domain analysis algorithm for faul...

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IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Zhaoxia Wang C. S. Chang Yifan Zhang Department of Computer Science Institute of High Performance Computing Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

This paper studies the stator currents collected from several inverter-fed laboratory induction motors and proposes a new feature based frequency domain analysis method for performing the detection of induction motor faults, such as the broken rotor-bar or bearing fault. The mathematical formulation is presented to calculate the features, which are called FFT-ICA features in this paper. The obtained FFT-ICA features are normalized by using healthy motor as benchmarks to establish a feature database for fault detection. Compare with conventional frequency-domain analysis method, no prior knowledge of the motor parameters or other measurements are required for calculating features. Only one phase stator current waveforms are enough to provide consistent diagnosis of inverter-fed induction motors at different frequencies. The proposed method also outperforms our previous time domain analysis method.

关键词： Induction motors Time frequency analysis Feature extraction Rotors Fault detection Inverters

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Supervisory evolutionary optimization strategy for adaptive maintenance schedules

Supervisory evolutionary optimization strategy for adaptive ...

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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Z. Wang C.S. Chang Department of Computer Science Institute of High Performance Computing Singapore Department of Electrical and Computer Engineering National University of Singapore Singapore

A supervisory strategy is proposed for improving the performance of an evolutionary-algorithm-based system-maintenance optimizer developed in our previous work for offshore power systems. The system-maintenance optimizer generates a set of initial maintenance plans, and exports them to an intelligent maintenance advisor connected to it for implementation. The proposed supervisory strategy uses a set of intelligent rules for adjusting the crossover and mutation rates of the present evolutionary algorithm. A mechanism is developed for refining and generalizing the supervisory rules according to the user's experience. The proposed supervisory strategy aims to improve the search ability and efficiency of the present evolutionary algorithm. Merits of the proposed supervisory strategy are demonstrated in case studies using our system-maintenance optimizer.

关键词： Maintenance engineering Reliability Genetics Markov processes Optimization Mathematical model Equations

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Online fault detection of induction motors using frequency domain independent components analysis

Online fault detection of induction motors using frequency d...

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IEEE International Symposium on Industrial Electronics (ISIE)

This paper proposes an online fault detection method for induction motors using frequency-domain independent component analysis. Frequency-domain results, which are obtained by applying Fast Fourier Transform (FFT) to measured stator current time-domain waveforms, are analyzed with the aim of extracting frequency signatures of healthy and faulty motors with broken rotor-bar or bearing problem. Independent components analysis (ICA) is applied for such an aim to the FFT results. The obtained independent components as well as the FFT results are then used to obtain the combined fault signatures. The proposed method overcomes problems occurring in many existing FFT-based methods. Results using laboratory-collected data demonstrate the robustness of the proposed method, as well as its immunity against measurement noises and motor parameters.

关键词： Induction motors Frequency domain analysis Stators Feature extraction Time domain analysis Noise

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Implementation of an RFID-based biological sample identification and tracking system

Implementation of an RFID-based biological sample identifica...

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2011 2nd IEEE RFID Technologies and Applications Conference, RFID-TA 2011, Collocated with the 2011 IEEE MTT-S International Microwave Workshop Series on Millimeter Wave Integration Technologies, IMWS 2011

作者： Zarabzadeh, Atieh Hayati, Farzad Watson, R. William G. Bradley, Geoff Grimson, Jane Centre for Health Informatics Department of Computer Science Trinity College Dublin Ireland Department of Electronic Electrical and Computer Engineering University of Birmingham United Kingdom UCD School of Medicine and Medical Science UCD Conway Institute of Biomolecular and Biomedical Research University College Dublin Ireland Trinity Centre for High Performance Computing Trinity College Dublin Ireland

ISBN: (纸本)9781457700279

Collection, processing, storage and maintenance of samples to facilitate long-term cohort studies in biobanks, requires a system to manage samples in an effective way to prevent sample mix up and loss. Sample identification and tracking system aims to reserve data on the samples at all the times, hence RFID technology is employed. This technology allows information to be stored on the tags attached to tubes containing samples. A system is proposed, designed and prototype in the Prostate Cancer Research Consortium biobank. © 2011 IEEE.

关键词： Radio frequency identification (RFID)

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Applying FML and Fuzzy Ontologies to malware behavioural analysis

Applying FML and Fuzzy Ontologies to malware behavioural ana...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Hsien-De Huang Giovanni Acampora Vincenzo Loia Chang-Shing Lee Hung-Yu Kao National Center of High Performance Computing NARL Tainan Taiwan Department Computer Science University of Salerno Italy Department Computer Science and Information Engineering NUTN Tainan Taiwan Department Computer Science and Information Engineering NCKU Tainan Taiwan

Antimalware applications represent one of the most important research topic in the area of information security threat. Indeed, most computer network issues have malwares as their underlying cause. As a consequence, enhanced systems for analyzing the behavior of malwares are needed in order to try to predict their malicious actions and minimize eventual computer damages. However, because the environments where malwares operate are characterized by high levels of imprecision and vagueness, the conventional data analysis tools lack to deal with these computer safety applications. This work tries to bridge this gap by integrating semantic technologies and computational intelligence methods, such as the Fuzzy Ontologies and Fuzzy Markup Language (FML), in order to propose an advanced semantic decision making system that, as shown by experimental results, achieves good performances in terms of malicious programs identification.

关键词： Malware IP networks Ontologies OWL computers Fuzzy systems XML

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GPU-accelerated DNA distance matrix computation

Proceedings - 2011 6th Annual ChinaGrid Conference, ChinaGri...

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Proceedings - 2011 6th Annual ChinaGrid Conference, ChinaGrid 2011 2011年 42-47页

作者： Ying, Zhi Lin, Xinhua See, Simon Chong-Wee Li, Minglu Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai China Institute of High Performance Computing AStar Singapore Singapore NVIDIA Corporation United States Shanghai Key Laboratory of Scalable Computing and Systems China

ISBN: (纸本)9780769544724

Distance matrix calculation used in phylogeny analysis is computational intensive. The growing sequences data sets necessitate fast computation method. This paper accelerate Felsenstein's DNADIST program by using OpenCL to exploit the great computation capability of graphic card. The GPU-accelerated DNADIST program achieves more than 12-fold speedup over the serial CPU program on a personal workstation with a 2.66GHz quad-core Intel CPU and an AMD HD5850 graphics card. And dual HD5850 cards on the same platform perform linear improvement of 24-fold speedup. The program also shows good performance portability by achieving 16-fold speedup with a NVIDIA Tesla C2050 card. © 2011 IEEE.

关键词： Graphics processing unit

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Fault Tolerance Policy on Dynamic Load Balancing in P2P Grids

Fault Tolerance Policy on Dynamic Load Balancing in P2P Grid...

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IEEE International Conference on Trust, Security and Privacy in computing and Communications (TrustCom)

作者： Tian-Liang Huang Tian-An Hsieh Kuan-Chou Lai Kuan-Ching Li Ching-Hsien Hsu Hsi-Ya Chang Department of Computer and Information Science National Taichung University Taichung Taiwan Department of Computer Science and Information Engineering Providence University Taichung Taiwan Department of Computer Science and Information Engineering Chung Hua University Hsinchu Taiwan National Center of High-Performance Computing Hsinchu Taiwan

The robust availability of resources in distributed computing environments is a very important issue. In general, the resources are distributed among geographical distributed sites resulting in the higher failure probability. Therefore, this paper proposes a fault tolerance policy on dynamic load balancing in P2P grids to improve the dynamic availability of resources. This proposed policy duplicates jobs in different computing nodes to avoid job or hardware failure. In the meantime, the proposed fault tolerance policy also considers the load balancing among different computing nodes while keeping the stable job turnaround time. Therefore, the proposed policy could improve the system performance in a varying environment. Experimental results show that the proposed policy could achieve a better job completion rate as the failure rate increases.

关键词： Peer to peer computing Fault tolerance Fault tolerant systems Load management Benchmark testing Protocols

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Malware behavioral analysis system: TWMAN

Malware behavioral analysis system: TWMAN

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IEEE Symposium on Intelligent Agents, IA

作者： Hsien-De Huang Chang-Shing Lee Hung-Yu Kao Yi-Lang Tsai Jee-Gong Chang National Center of High-Performance Computing National Applied Research Laboratories Tainan Taiwan Department Computer Science and Information Engineering National University of Tainan Tainan Taiwan Department Computer Science and Information Engineering National Cheng Kung University Tainan Taiwan

Malware is an important topic of security threat research. In this paper, a behavioral malware analysis system TWMAN was presented. This study focuses on using real operation system (OS) environment to analysis malware behavioral. Many researchers try to use virtual machine (VM) system to monitor the malware behaviors. These malware samples will only compromise the virtual operating system or virtual machine, which cannot reflect in the real operating system or real environment. Therefore, some malware researchers don't want their systems to be analyzed in VM environment, because the analyzer cannot much useful information in VM environment. There are many Anti-VM techniques which are used to ward off the collection, analysis, and reverse engineering features of the VM based malware analysis platform. There are differences between these two behaviors: malware behavior in real environment and in virtual environment. Therefore, malware researcher would get inaccurate analysis results from VM based malware analysis platform. In order to retrieve correct malware behavioral information, we need flexible, adaptable, and quickly analysis environment, which could discovery malware behavioral in real operation system environment, and which can quickly restore clear operation system to analysis another malware sample. For this reason, this study developed Taiwan Malware Analysis Net(TWMAN), a real operation system environment for malware behavioral analysis and analysis report. We believe this system would be helpful to improve the correctness of malware analysis result and reduce the loss rate of malware analysis.

关键词： Malware IP networks Internet Software Forensics Image restoration

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