检索结果-内蒙古大学图书馆

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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An empirical analysis of social interaction on tobacco-oriented social networks

An empirical analysis of social interaction on tobacco-orien...

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2013 International Conference for Smart Health, ICSH 2013

作者： Liang, Yunji Zheng, Xiaolong Zeng, Daniel Dajun Zhou, Xingshe Leischow, Scott School of Computer Science Northwestern Polytechnical University Xi'an China Department of Management Information System University of Arizona Tucson AZ United States State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China Mayo Clinic in Arizona Phoenix AZ United States

ISBN: (纸本)9783642398438

Social media is widely utilized in the tobacco control campaigns. It is a great challenge to evaluate the efficiency of tobacco control policies on social network sites and find gaps among tobacco-oriented social networks. In this paper, we construct three tobacco-oriented social networks according to user interaction on Facebook tobacco-related fan pages. We further investigate the interaction patterns including temporal distribution and interaction patterns to reveal the differences of tobacco-oriented social networks. Our empirical analysis demonstrates that: 1) the user interaction on the pro-tobacco fan pages is more active. Fan pages for tobacco promotion are more successful in obtaining more user attention. 2) The gap between tobacco promotion and tobacco control is widening. These empirical results can provide us significant insights into understanding the evolutionary patterns of social interaction in tobacco-oriented social networks and further help the government departments of tobacco control to make reasonable decisions. © 2013 Springer-Verlag.

关键词： Tobacco

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Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016

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Human genomics 2016年第1期10 Suppl 1卷 12页

作者： A. K. Srivastava Y. Wang R. Huang C. Skinner T. Thompson L. Pollard T. Wood F. Luo R. Stevenson R. Polimanti J. Gelernter X. Lin I. Y. Lim Y. Wu A. L. Teh L. Chen I. M. Aris S. E. Soh M. T. Tint J. L. MacIsaac F. Yap K. Kwek S. M. Saw M. S. Kobor M. J. Meaney K. M. Godfrey Y. S. Chong J. D. Holbrook Y. S. Lee P. D. Gluckman N. Karnani A. Kapoor D. Lee A. Chakravarti C. Maercker F. Graf M. Boutros G. Stamoulis F. Santoni P. Makrythanasis A. Letourneau M. Guipponi N. Panousis M. Garieri P. Ribaux E. Falconnet C. Borel S. E. Antonarakis S. Kumar J. Curran J. Blangero S. Chatterjee J. Akiyama D. Auer C. Berrios L. Pennacchio T. R. Donti G. Cappuccio M. Miller P. Atwal A. Kennedy A. Cardon C. Bacino L. Emrick J. Hertecant F. Baumer B. Porter M. Bainbridge P. Bonnen B. Graham R. Sutton Q. Sun S. Elsea Z. Hu P. Wang Y. Zhu J. Zhao M. Xiong David A. Bennett A. Hidalgo-Miranda S. Romero-Cordoba S. Rodriguez-Cuevas R. Rebollar-Vega E. Tagliabue M. Iorio E. D’Ippolito S. Baroni B. Kaczkowski Y. Tanaka H. Kawaji A. Sandelin R. Andersson M. Itoh T. Lassmann Y. Hayashizaki P. Carninci A. R. R. Forrest C. A. Semple E. A. Rosenthal B. Shirts L. Amendola C. Gallego M. Horike-Pyne A. Burt P. Robertson P. Beyers C. Nefcy D. Veenstra F. Hisama R. Bennett M. Dorschner D. Nickerson J. Smith K. Patterson D. Crosslin R. Nassir N. Zubair T. Harrison U. Peters G. Jarvik F. Menghi K. Inaki X. Woo P. Kumar K. Grzeda A. Malhotra H. Kim D. Ucar P. Shreckengast K. Karuturi J. Keck J. Chuang E. T. Liu B. Ji A. Tyler G. Ananda G. Carter H. Nikbakht M. Montagne M. Zeinieh A. Harutyunyan M. Mcconechy N. Jabado P. Lavigne J. Majewski J. B. Goldstein M. Overman G. Varadhachary R. Shroff R. Wolff M. Javle A. Futreal D. Fogelman L. Bravo W. Fajardo H. Gomez C. Castaneda C. Rolfo J. A. Pinto K. C. Akdemir L. Chin S. Patterson C. Statz S. Mockus S. N. Nikolaev X. I. Bonilla L. Parmentier B. King F. Bezrukov G. Kaya V. Zoete V. Seplyarskiy H. Sharpe T. McKee K. Popadin N. Basset-Seguin R. Ben Chaabene M. Andrianova C. Verdan K. Grosdemange O. Sumara M. E JCSRI Greenwood Genetic Center Greenwood USA School of Computing Clemson University Clemson USA Biochemical Genetics Laboratory Greenwood Genetic Center Greenwood USA Department Psychiatry Yale Sch Med and VA CT Healthcare Center West Haven USA Department Genetics Yale Sch Med and VA CT Healthcare Center West Haven USA Department Neurobiology Yale Sch Med and VA CT Healthcare Center West Haven USA Singapore Institute for Clinical Sciences Singapore Singapore National University of Singapore Singapore Singapore University of British Columbia Vancouver Canada KK Women’s and Children’s Hospital Singapore Singapore University of Southampton and University Hospital Southampton NHS Foundation Trust Southampton UK University of Auckland Auckland New Zealand McKusick-Nathans Institute of Genetic Medicine Johns Hopkins University School of Medicine Baltimore USA Esslingen University of Applied Sciences Esslingen Germany German Cancer Research Center Heidelberg Germany Department of Genetic Medicine and Development University of Geneva Medical School Geneva Switzerland Geneva University Hospitals-HUG Service of Genetic Medicine Geneva Switzerland GE3 Institute of Genetics and Genomics of Geneva University of Geneva Medical School Geneva Switzerland South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Edinburg USA South Texas Diabetes and Obesity Institute School of Medicine University of Texas Rio-Grande Valley Brownsville USA Institute of Genetic Medicine Johns Hopkins University Baltimore USA Genomics Division Lawrence Berkeley National Laboratory Berkeley USA Molecular and Human Genetics Baylor College of Medicine Houston USA Department of Translational Medical Sciences Federico II University Naples Italy Metabolon Inc Durham USA Section of Pediatric Neurology and Neuroscience Baylor College of Medicine Houston USA Tawam Hospital Abu Dhabi United Arab Emirates Stanford Medical School Stanford USA Sch

O1 The metabolomics approach to autism: identification of biomarkers for early detection of autism spectrum disorder A. K. Srivastava, Y. Wang, R. Huang, C. Skinner, T. Thompson, L. Pollard, T. Wood, F. Luo, R. Stevenson O2 Phenome-wide association study for smoking- and drinking-associated genes in 26,394 American women with African, Asian, European, and Hispanic descents R. Polimanti, J. Gelernter O3 Effects of prenatal environment, genotype and DNA methylation on birth weight and subsequent postnatal outcomes: findings from GUSTO, an Asian birth cohort X. Lin, I. Y. Lim, Y. Wu, A. L. Teh, L. Chen, I. M. Aris, S. E. Soh, M. T. Tint, J. L. MacIsaac, F. Yap, K. Kwek, S. M. Saw, M. S. Kobor, M. J. Meaney, K. M. Godfrey, Y. S. Chong, J. D. Holbrook, Y. S. Lee, P. D. Gluckman, N. Karnani, GUSTO study group O4 High-throughput identification of specific qt interval modulating enhancers at the SCN5A locus A. Kapoor, D. Lee, A. Chakravarti O5 Identification of extracellular matrix components inducing cancer cell migration in the supernatant of cultivated mesenchymal stem cells C. Maercker, F. Graf, M. Boutros O6 Single cell allele specific expression (ASE) IN T21 and common trisomies: a novel approach to understand DOWN syndrome and other aneuploidies G. Stamoulis, F. Santoni, P. Makrythanasis, A. Letourneau, M. Guipponi, N. Panousis, M. Garieri, P. Ribaux, E. Falconnet, C. Borel, S. E. Antonarakis O7 Role of microRNA in LCL to IPSC reprogramming S. Kumar, J. Curran, J. Blangero O8 Multiple enhancer variants disrupt gene regulatory network in Hirschsprung disease S. Chatterjee, A. Kapoor, J. Akiyama, D. Auer, C. Berrios, L. Pennacchio, A. Chakravarti O9 Metabolomic profiling for the diagnosis of neurometabolic disorders T. R. Donti, G. Cappuccio, M. Miller, P. Atwal, A. Kennedy, A. Cardon, C. Bacino, L. Emrick, J. Hertecant, F. Baumer, B. Porter, M. Bainbridge, P. Bonnen, B. Graham, R. Sutton, Q. Sun, S. Elsea O10 A novel causal methylation network approach to Alzheimer’s

关键词： Pulmonary Arterial Hypertension Oral Squamous Cell Carcinoma Deep Neural Network Autosomal Recessive Polycystic Kidney Disease Whole Genome Bisulfite Sequencing

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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2012 UKACC International Conference on control, control 2012

作者： Hu, Jun Wang, Zidong Shen, Bo Cai, Chenxiao Lam, James Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin 150001 China Department of Information Systems and Computing Brunel University London UB8 3PH United Kingdom Institute for Automatic Control and Complex Systems University of Duisburg-Essen D-47057 Duisburg Germany School of Automation Nanjing University of Science and Technology 210094 Nanjing China Department of Mechanical Engineering University of Hong Kong Hong Kong Hong Kong

ISBN: (纸本)9781467315609

This paper is concerned with the finite-horizon recursive filtering problem for a class of nonlinear time-varying systems with missing measurements. The missing measurements are modeled by a series of mutually independent random variables obeying Bernoulli distributions with possibly different occurrence probabilities. Attention is focused on the design of a recursive filter such that, for the missing measurements, an upper bound for the filtering error covariance is guaranteed and such an upper bound is subsequently minimized by properly designing the filter parameters at each sampling instant. The desired filter parameters are obtained by solving two Riccati-like difference equations that are of a recursive form suitable for online applications. A simulation example is exploited to demonstrate the effectiveness of the proposed filter design scheme. © 2012 IEEE.

关键词： Difference equations

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Accuracy analysis of a covariance matching method for continuous-time errors-in-variables system identification

Accuracy analysis of a covariance matching method for contin...

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Universite Libre de Bruxelles

作者： Söderström, Torsten Irshad, Yasir Mossberg, Magnus Zheng, Wei Xing Division of Systems and Control Department of Information Technology Uppsala University P O Box 337 SE-75105 Uppsala Sweden Department of Physics and Electrical Engineering Karlstad University SE-65188 Karlstad Sweden School of Computing and Mathematics University of Western Sydney Penrith South DC NSW 1797 Australia

ISBN: (纸本)9783902823069

A covariance matching method for continuous-time errors-in-variables system identification from discrete-time data is analyzed. The asymptotic normalized covariance matrix, valid for a large number of data and a small sampling interval, is evaluated. This involves the evaluation of a covariance matrix of estimated covariance elements and estimated derivatives of such elements, and large parts of the paper are devoted to this task. © 2012 IFAC.

关键词： Errors

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Gain-constrained filtering with probabilistic sensor delays and correlated noises

Gain-constrained filtering with probabilistic sensor delays ...

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International Conference on Automation and computing (ICAC)

作者： Jun Hu Zidong Wang Bo Shen Huijun Gao Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China Department of Information Systems and Computing Brunel University Uxbridge Middlesex UK Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

In this paper, the gain-constrained recursive filtering problem is investigated for a class of time-varying stochastic systems with probabilistic sensor delays and correlated noises. The phenomenon of probabilistic sensor delays is modeled by introducing a diagonal matrix composed of Bernoulli distributed random variables taking values of 1 or 0, which means that the sensors may experience randomly occurring delays with individual delay characteristics. The process noise is finite-step auto-correlated. The purpose of the addressed gain-constrained filtering problem is to design a filter such that, for all probabilistic sensor delays, gain constraint as well as correlated noises, the cost function concerning the filtering error is minimized at each sampling instant, where the filter gain satisfies a certain equality constraint. A new recursive filtering algorithm is developed that ensures both the local optimality and the unbiasedness of the designed filter at each sampling instant which achieving the pre-specified filter gain constraints. A simulation example is provided to illustrate the effectiveness of the proposed filter design approach.

关键词： Delay Filtering Noise Filtering algorithms Probabilistic logic Cost function Random variables

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Synchronization of a linear singularly perturbed complex network with potential application in electric power systems

Synchronization of a linear singularly perturbed complex net...

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International Conference on Automation and computing (ICAC)

作者： Chenxiao Cai Zidong Wang Jun Hu School of Automation Nanjing University of Science and technology Nanjing China Department of Information Systems and Computing Brunel University London UK Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China

This paper is concerned with the synchronization problem for a linear singularly perturbed complex network. The slow sub-network and the fast subnetwork are obtained on the different time-scale by employing singularly perturbed decomposition method. Sufficient conditions for the synchronization of the two sub-networks are obtained by introducing the reference error system and analyzing the corresponding stability. These conditions are characterized in terms of the feasibility of a set of linear matrix inequalities that can be easily solved by using semi-definite programming method. A practical model concerning an electric system grid with N synchronous machines is established, which can be used to illustrate the potential applicability of the proposed results.

关键词： Synchronization Complex networks Couplings Stability criteria Power system stability

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Recursive filtering for a class of nonlinear systems with missing measurements

Recursive filtering for a class of nonlinear systems with mi...

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UKACC International Conference on control (control)

作者： Jun Hu Zidong Wang Bo Shen Chenxiao Cai James Lam Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin China School of Automation Nanjing University of Science and Technology of PLA Nanjing China Department of Information Systems and Computing Brunel University London UK Department of Mechanical Engineering University of Hong Kong Hong Kong China Institute for Automatic Control and Complex Systems University of Duisburg-Essen Duisburg Germany

ISBN: (纸本)9781467315593

关键词： Upper bound Estimation Difference equations Kalman filters Educational institutions Random variables Noise

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Accuracy Analysis of a Covariance Matching Method for Continuous-time Errors-in-variables System Identification *

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IFAC Proceedings Volumes 2012年第16期45卷 1383-1388页

作者： Torsten Söderström Yasir Irshad Magnus Mossberg Wei Xing Zheng Division of Systems and Control Department of Information Technology Uppsala University P O Box 337 SE-75105 Uppsala Sweden Department of Physics and Electrical Engineering Karlstad University SE-65188 Karlstad Sweden School of Computing and Mathematics University of Western Sydney Penrith South DC NSW 1797 Australia

关键词： Continuous-time systems errors-in-variables systems parameter estimation covariance matching accuracy analysis

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Trustworthy injection/curtailment of DER in distribution network maintaining quality of service

Trustworthy injection/curtailment of DER in distribution net...

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2011 16th International Conference on Intelligent System Applications to Power systems, ISAP 2011

作者： Hussain, Shahid Honeth, Nicholas Gustavsson, Rune Sandels, Claes Saleem, Arshad Department School of Computing Blekinge Institute of Technology Karlskrona Sweden Department of Industrial Information and Control Systems Royal Institute of Technology Stockholm Sweden

Future powers system is considering huge flux of information flow due to increase in Renewable Energy Sources. Due to the limited monitoring and management of SCADA systems, inclusion of DER at local distribution level is a challenging task for the Smart Grid. We discuss the non-functional requirement aspects and their implication in trustworthy systems. The paper also illustrates an engineering approach towards trustworthy ICT systems. We present a use case about Injection/Curtailment of DER in distributed network. Further, we argue the importance of Service Level Agreements as coordination tool for information exchange between DSO and DER for the provisioning of trustworthy services. Finally conclude that modeling of SLA using Multi Agent systems is a viable approach towards Trustworthy future Smart Grid applications. © 2011 IEEE.

关键词： Multi agent systems

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