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Distributed computing and artificial intelligence: 10th international conference

Advances in Intelligent Systems and computing 2013年 217卷

作者： Omatu, Sigeru Neves, José Rodríguez, Juan M. Corchado de Paz Santana, Juan F. P. González, Sara Rodríguez Graduate School of Engineering Osaka Prefecture University Osaka Japan Department of Computing Science University of Minho Braga Codex Portugal Department of Computing Science and Control University of Salamanca Salamanca Spain

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Interlayer vibrational modes in few-quintuple-layer Bi2Te3 and Bi2Se3 two-dimensional crystals: Raman spectroscopy and first-principles studies

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Physical Review B 2014年第24期90卷 245428-245428页

作者： Yanyuan Zhao Xin Luo Jun Zhang Junxiong Wu Xuxu Bai Meixiao Wang Jinfeng Jia Hailin Peng Zhongfan Liu Su Ying Quek Qihua Xiong Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University Singapore 637371 Singapore Institute of High Performance Computing 1 Fusionopolis Way #16-16 Connexis Singapore 138632 Singapore Department of Physics Centre for Advanced 2D Materials and Graphene Research Centre National University of Singapore 6 Science Drive 2 Singapore 117546 Singapore Center for Nanochemistry Beijing National Laboratory for Molecular Sciences (BNLMS) College of Chemistry and Molecular Engineering Peking University Beijing 100871 People's Republic of China Department of Physics Key Laboratory of Artificial Structures and Quantum Control Ministry of Education Shanghai Jiao Tong University Shanghai 200240 People's Republic of China NOVITAS Nanoelectronics Centre of Excellence School of Electrical and Electronic Engineering Nanyang Technological University Singapore 639798 Singapore

Layered materials, such as graphite/graphene, boron nitride, transition metal dichalcogenides, represent materials in which reduced size, dimensionality, and symmetry play critical roles in their physical properties. Here, we report on a comprehensive investigation of the phonon properties in the topological insulator Bi2Te3 and Bi2Se3 two-dimensional (2D) crystals, with the combination of Raman spectroscopy, first-principles calculations, and group theory analysis. Low frequency (<30cm−1) interlayer vibrational modes are revealed in few-quintuple-layer (QL) Bi2Te3/Bi2Se3 2D crystals, which are absent in the bulk crystal as a result of different symmetries. The experimentally observed interlayer shear and breathing mode frequencies both show blueshifts, with decreasing thickness in few-QL Bi2Te3 (down to 2QL) and Bi2Se3 (down to 1QL), in agreement with first-principles calculations and a linear chain model, from which the interlayer coupling force constants can be estimated. Besides, an intense ultralow (<12cm−1) frequency peak is observed in 2–4QL Bi2Te3, which is tentatively attributed to a substrate-induced interface mode supported by a linear chain model analysis. The high frequency Raman peaks exhibit frequency shifts and broadening from 3D to 2D as a result of the phonon confinement effect. Our studies shed light on a general understanding of the influence of dimensionality and crystal symmetry on the phonon properties in layered materials.

关键词： RAMAN spectroscopy GROUP theory CRYSTAL symmetry GRAPHITE BORON nitride TRANSITION metals PHONONS

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Developing an optimized application hosting framework in Clouds

Developing an optimized application hosting framework in Clo...

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作者： Shi, Xuanhua Jiang, Hongbo He, Ligang Jin, Hai Wang, Chonggang Yu, Bo Chen, Xueguang Service Computing Technology and Systems Lab School of Computer Huazhong University of Science and Technology China Department of Electronics and Information Engineering Huazhong University of Science and Technology China Department of Computer Science University of Warwick United Kingdom InterDigital Communications Corp. United States Department of Automation Control and Engineering Huazhong University of Science and Technology China

A Cloud system, which is also often called a data center, may host a large number of application servers (termed as applications for short in this paper) that consume various types of resource, such as CPU, memory, and I/O. In such a scenario, the application placement strategy, which specifies how to host applications across the physical servers in the Cloud, is critical to achieve good system- and/or client-oriented performance. The existing application placement algorithms in literature assume that the consumption of system resources is proportional to the level of workloads submitted to the system. In this paper, we reveal that it may not be the case in some circumstances. Based on this observation, we design and implement an application placement framework, called EAPAC, for Clouds. The developed framework is able to achieve the optimized performance by judiciously allocating to the applications a proper mixture of different types of application request as well as an appropriate number of requests in each type. Further, we investigate the issue of resource conflicts among different applications when there exist concurrent requests in the system. We have conducted extensive experiments to evaluate the performance of the developed framework. The experiment results show that compared with the existing method in literature, EAPAC can improve the performance by 35% in terms of the reply rate. © 2013 Elsevier Inc.

关键词： Application placement Cloud Resource conflicts

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Extended Kalman Filter Based Echo State Network for Time Series Prediction using MapReduce Framework

Extended Kalman Filter Based Echo State Network for Time Ser...

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International Conference on Mobile Ad-hoc and Sensor Networks, MSN

作者： Chunyang Sheng Jun Zhao Henry Leung Wei Wang School of Control Science and Engineering Dalian University of Technology Dalian P. R. China Department of Electrical and Computing Engineering University of Calgary Calgary Canada

Echo state networks (ESNs), that exhibit good performance for modeling a nonlinear or non-Gaussian dynamic system, have been widely used for time series prediction. However, estimating the output weights of the ESNs remains intractable. Extended Kalman filter (EKF) is an effective estimate method, but its computational cost is relatively high. In this study, a MapReduce framework based parallelized EKF is proposed to learn the parameters of the network, in which two MapReduce based models are designed, and each of them is composed of a set of mapper and reducer functions. The mapper receives a training sample and generates the updates of the internal states or the output weights, while the reducer merges all updates associated with the same key to produce an average value. To verify the effectiveness and the efficiency of the proposed method, an industrial data prediction problem coming from the blast furnace gas (BFG) system in steel industry is employed for the validation experiments, and the experimental results demonstrate that the proposed parallelized EKF can efficiently estimate the parameters of the ESN with good performance and computing time.

关键词： Training Kalman filters Reservoirs Computational efficiency Linear regression Bayes methods Time series analysis

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Exploiting selection diversity and recovering spectrum loss in Wireless Sensor Networks with directional antennas

Exploiting selection diversity and recovering spectrum loss ...

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IEEE Globecom Workshops

作者： Chunbo Luo Qi Wang Xinheng Wang Christos Grecos Runfeng Yang Peng Ren School of Computing University of the West of Scotland Paisley UK Dongguan Polytechnic Dongguan China College of Control and Information Engineering China University of Petroleum (Huadong)

This paper proposes a distributed relay selection and successive relaying scheme for Wireless Sensor Networks (WSN) with directional antennas. Since the working life of WSN is usually affected by the battery life of its nodes, the reduction of the nodes' working time without the sacrifice of communication quality is of significant interest. The proposed scheme makes explore the potential of the large number of nodes within WSNs via distributed relay selection and utilizes a successive relaying protocol to recover the 50% spectrum loss due to relaying. It can thus save energy and time for the source, relay and destination nodes for transmitting and receiving. The performances of the proposed scheme are evaluated by both theoretical analysis and numerical experiments. Results show that the proposed scheme can achieve high average data rate and diversity gain, and provides a feasible solution to enhance the communication ability of WSNs with directional antennas.

关键词： Relays Wireless sensor networks Protocols Directional antennas Conferences Signal to noise ratio MIMO

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An empirical study of information diffusion in micro-blogging systems during emergency events

An empirical study of information diffusion in micro-bloggin...

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14th International Conference on Web-Age Information Management, WAIM 2013

作者： Cui, Kainan Zheng, Xiaolong Zeng, Daniel Dajun Zhang, Zhu Luo, Chuan He, Saike School of Electronic and Information Engineering Xi'an Jiaotong University Xi'an China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 China

ISBN: (纸本)9783642395260

Understanding the rapid information diffusion process in social media is critical for crisis management. Most of existing studies mainly focus on information diffusion patterns under the word-of-mouth spread mechanism. However, to date, the mass-media spread mechanism in social media is still not well studied. In this paper, we take the emergency event of Wenzhou train crash as a case and conduct an empirical analysis, utilizing geospatial correlation analysis and social network analysis, to explore the mass-meida spread mechanism in social media. By using the approach of agent-based modeling, we further make a quantativiely comparison with the information diffusion patterns under the word-of-mouth spread mechanism. Our exprimental results show that the mass-meida spread mechanism plays a more important role than that of the word-of-mouth in the information diffusion process during emergency events. The results of this paper can provide significant potential implications for crisis management. © 2013 Springer-Verlag.

关键词： Information management

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EMG-based neural network control of an upper-limb power-assist exoskeleton robot

EMG-based neural network control of an upper-limb power-assi...

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10th International Symposium on Neural Networks, ISNN 2013

作者： Su, Hang Li, Zhijun Li, Guanglin Yang, Chenguang Key Lab of Autonomous System and Network Control College of Automation Science and Engineering South China University of Technology Guangzhou China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen Guangdong China School of Computing and Mathematics Plymouth University PL4 8AA United Kingdom

ISBN: (纸本)9783642390678

The paper presents the electromyogram (EMG)-based neural network control of an upper-limb power-assist exoskeleton robot, which is proposed to control the robot in accordance with the user's motion intention. The upper limb rehabilitation exoskeleton is with high precision for co-manipulation tasks of human and robot because of its backdrivability, precise positioning capabilities, and zero backlash due to its harmonic drive transmission (HDT). The novelty of this work is the development of an adaptive neural network modeling and control approach to handle the unknown parameters of the harmonic drive transmission in the robot to facilitate motion control. We have conducted the experiments on human subject to identify the various parameters of the harmonic drive system combining sEMG information signals. © 2013 Springer-Verlag Berlin Heidelberg.

关键词： Robots

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Brief paper : New approach to second-order sliding mode control design

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IET control Theory and Applications 2013年第18期7卷 2188-2196页

作者： Ding, Shihong Li, Shihua Zheng, Wei Xing School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu 212013 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu 210096 China School of Computing Engineering and Mathematics University of Western Sydney Penrith NSW 2751 Australia

The second-order sliding mode control generates important properties for closed-loop systems, such as robustness, disturbance rejection and finite-time convergence. In this study, it is shown that the adding a power technique plus the nested saturation method will bring in a new second-order sliding mode control scheme for non-linear systems with relative degree two. Based on this, a second-order sliding mode controller is constructed by imposing a natural assumption on the sliding mode dynamics, that is, the uncertainty of the sliding mode dynamics can be bounded by a known function instead of a constant. Under the proposed sliding mode controller, it is proved that the closed-loop system is not only globally convergent, but also locally finite-time stable, which implies the global finite-time stability. Finally, the effectiveness of the proposed method is verified by a numerical example. © The Institution of engineering and Technology 2013.

关键词： Sliding mode control

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Implementation of an inexpensive EEG headset for the pattern recognition purpose

Implementation of an inexpensive EEG headset for the pattern...

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IEEE International Workshop on Intelligent Data Acquisition and Advanced computing Systems: Technology and Applications

作者： Aleksandra Kawala-Janik Michal Podpora Mariusz Pelc Pawel Piatek Jerzy Baranowski University of Greenwich School of Computing and Mathematical Sciences London United Kingdom Faculty of Electrical Engineering Automatic Control and Informaics Opole Poland Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Krakow Poland

There are many types of bio-signals with various control application prospects. In this work possible control application domain of electroencephalographic signal obtained from an easily available, inexpensive EEG headset - Emotiv EPOC was presented. This work also involved application of an embedded system platform. That solution caused limits in choosing an appropriate signal processing method, as embedded platforms characterise with a little efficiency and low computing power. Potential implementation of the embedded platform enables to extend the possible future application of the proposed BCI. It also gives more flexibility, as the platform is able to simulate various environments. In this work traditional, statistical methods were neither used nor described.

关键词： Electroencephalography Headphones Signal processing Electrodes Noise measurement Pattern recognition MATLAB

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An Adaptive control Strategy for Managing Concurrent Service Requests in Service-Based Systems

An Adaptive Control Strategy for Managing Concurrent Service...

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IEEE Annual Computer Software and Applications Conference Workshops (COMPSACW)

作者： Wen-Long Zhu Bei-Bei Yin Kai-Yuan Cai Dazhi Huang Stephen S. Yau Department of Automatic Control Beijing University of Aeronautics and Astronautics Beijing China School of Computing Informatics & Decision Systems Engineering Arizona State University Tempe AZ USA

Service-Oriented Architecture (SOA) has attracted substantial research effort over the past decade. In service-based systems, where multiple services providing the same functionality are available, it is necessary to select the appropriate services to be used in service composition to provide better quality of service (QoS) for service consumers. In order to select the best service composition for concurrent service requests, we present an adaptive control strategy which performs service selection based on the historical usage information of all the candidate services. A case study of a data stream management system is presented to validate the effectiveness of the adaptive control strategy, and examine the effect of the concurrency level on the process of the strategy's decision.

关键词： Adaptive control Quality of service Concurrent computing Digital audio players Time factors Software Process control

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