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International Conference on Information Science and Technology (ICIST)

作者： Gang Xiong Timo R. Nyberg Pekka Hämäläinen Xisong Dong Yuan Liu Jiachen Hou Cloud Computing Center Chinese Academy of Sciences Dongguan CHINA Department of Industrial Engineering and Management Aalto University Aalto FINLAND Tekla Corporations Metsänpojankuja Espoo FINLAND Key Laboratory of Complex System Intelligent Science Chinese Academy of Sciences Beijing CHINA Nanjing Smart Energy Information Technology Co. LTD Nanjing CHINA Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing CHINA

The availability of new technologies in the areas of digital electronics, communications, internet, and computer technologies opens a door to build a smart grid, which can increase significantly the capacity, services and intelligence of power systems. This paper proposes a power distribution network management cloud platform based on Tekla Xpower. Proposed system can support the implementation of current power grid and/or the coming smart grid. Utilizing the existing computing and storage installations, cloud platform can integrate the existing resources to improve the computation and storage capacities, the data security of the entire system, and can increase application intelligence, service quality and decision-making capability as well. The four layer architecture of cloud platform is designed, and a pilot case study for DMS is provided.

关键词： Computer network reliability Reliability Databases Business Electronic mail Handheld computers

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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits (vol 50, pg 1412, 2018)

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NATURE GENETICS 2018年第12期50卷 1755-1755页

作者： Evangelou, Evangelos Warren, Helen R. Mosen-Ansorena, David Mifsud, Borbala Pazoki, Raha Gao, He Ntritsos, Georgios Dimou, Niki Cabrera, Claudia P. Karaman, Ibrahim Fu Liang Ng Evangelou, Marina Witkowska, Katarzyna Tzanis, Evan Hellwege, Jacklyn N. Giri, Ayush Edwards, Digna R. Velez Sun, Yan V. Cho, Kelly Gaziano, J. Michael Wilson, Peter W. F. Tsao, Philip S. Kovesdy, Csaba P. Esko, Tonu Magi, Reedik Milani, Lili Almgren, Peter Boutin, Thibaud Debette, Stephanie Ding, Jun Giulianini, Franco Holliday, Elizabeth G. Jackson, Anne U. Li-Gao, Ruifang Lin, Wei-Yu Luan, Jian'an Mangino, Massimo Oldmeadow, Christopher Prins, Bram Peter Qian, Yong Sargurupremraj, Muralidharan Shah, Nabi Surendran, Praveen Theriault, Sebastien Verweij, Niek Willems, Sara M. Zhao, Jing-Hua Amouyel, Philippe Connell, John de Mutsert, Renee Doney, Alex S. F. Farrall, Martin Menni, Cristina Morris, Andrew D. Noordam, Raymond Pare, Guillaume Poulter, Neil R. Shields, Denis C. Stanton, Alice Thom, Simon Abecasis, Goncalo Amin, Najaf Arking, Dan E. Ayers, Kristin L. Barbieri, Caterina M. Batini, Chiara Bis, Joshua C. Blake, Tineka Bochud, Murielle Boehnke, Michael Boerwinkle, Eric Boomsma, Dorret I. Bottinger, Erwin P. Braund, Peter S. Brumat, Marco Campbell, Archie Campbell, Harry Chakravarti, Aravinda Chambers, John C. Chauhan, Ganesh Ciullo, Marina Cocca, Massimiliano Collins, Francis Cordell, Heather J. Davies, Gail de Borst, Martin H. de Geus, Eco J. Deary, Ian J. Deelen, Joris Del Greco, Fabiola M. Demirkale, Cumhur Yusuf Dorr, Marcus Ehret, Georg B. Elosua, Roberto Enroth, Stefan Erzurumluoglu, A. Mesut Ferreira, Teresa Franberg, Mattias Franco, Oscar H. Gandin, Ilaria Gasparini, Paolo Giedraitis, Vilmantas Gieger, Christian Girotto, Giorgia Goel, Anuj Gow, Alan J. Gudnason, Vilmundur Guo, Xiuqing Gyllensten, Ulf Hamsten, Anders Harris, Tamara B. Harris, Sarah E. Hartman, Catharina A. Havulinna, Aki S. Hicks, Andrew A. Hofer, Edith Hofman, Albert Hottenga, Jouke-Jan Huffman, Jennifer E. Hwang, Shih-Jen Ingelsson, Erik James, Alan Jansen Department of Epidemiology and Biostatistics Imperial College London London UK Department of Hygiene and Epidemiology University of Ioannina Medical School Ioannina Greece William Harvey Research Institute Barts and The London School of Medicine and Dentistry Queen Mary University of London London UK National Institute for Health Research Barts Cardiovascular Biomedical Research Center Queen Mary University of London London UK MRC-PHE Centre for Environment and Health Imperial College London London UK Department of Mathematics Imperial College London London UK Division of Epidemiology Department of Medicine Institute for Medicine and Public Health Vanderbilt Genetics Institute Vanderbilt University Medical Center Tennessee Valley Healthcare System (626)/Vanderbilt University Nashville TN USA Vanderbilt Genetics Institute Vanderbilt Epidemiology Center Department of Obstetrics and Gynecology Vanderbilt University Medical Center Tennessee Valley Health Systems VA Nashville TN USA Department of Epidemiology Emory University Rollins School of Public Health Atlanta GA USA Department of Biomedical Informatics Emory University School of Medicine Atlanta GA USA Massachusetts Veterans Epidemiology Research and Information Center (MAVERIC) VA Boston Healthcare System Boston MA USA Division of Aging Department of Medicine Brigham and Women’s Hospital Department of Medicine Harvard Medical School Boston MA USA Atlanta VAMC and Emory Clinical Cardiovascular Research Institute Atlanta GA USA VA Palo Alto Health Care System Division of Cardiovascular Medicine Stanford University School of Medicine Stanford CA USA Nephrology Section Memphis VA Medical Center and University of Tennessee Health Science Center Memphis TN USA Estonian Genome Center University of Tartu Tartu Estonia Program in Medical and Population Genetics Broad Institute of Harvard and MIT Cambridge MA USA Department Clinical Sciences Malmö Lund University Malmö Sweden MRC Human Genetics Un

High blood pressure is a highly heritable and modifiable risk factor for cardiovascular disease. We report the largest genetic association study of blood pressure traits (systolic, diastolic and pulse pressure) to date in over 1 million people of European ancestry. We identify 535 novel blood pressure loci that not only offer new biological insights into blood pressure regulation but also highlight shared genetic architecture between blood pressure and lifestyle exposures. Our findings identify new biological pathways for blood pressure regulation with potential for improved cardiovascular disease prevention in the future.

关键词： Cardiovascular diseases Genome informatics Genome-wide association studies

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Vulnerability analysis of smart grid based on complex network theory

Vulnerability analysis of smart grid based on complex networ...

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International Conference on Information Science and Technology (ICIST)

作者： Xisong Dong Timo R. Nyberg Pekka Hämäläinen Gang Xiong Yuan Liu Jiachen Hou Laboratory of Complex System Intelligent Science Chinese Academy of Sciences Beijing China Department of Industrial Engineering and Management Aalto University Aalto Finland Tekla Corporations Metsänpojankuja FI-02130 Espoo FINLAND Cloud Computing Center Chinese Academy of Sciences Dongguan China Nanjing Smart Energy Information Technology Co. LTD. Nanjing China Beijing Engineering Research Center of Intelligent Systems and Technology Chinese Academy of Sciences Beijing China

Smart grid has been widely acknowledged around the world. The rapid development of complex network theory provides a new perception into the research of smart grid. Based on the latest progress in the field of complex network theory, smart grid can be treated as small world networks. This paper examines the tolerance of smart grid against attacks to analyze its vulnerability, and proposes a technique to study the relationship between the electric betweenness and the reliability of smart grid. Based on these researches, the specific concept of vulnerability investigation to indicate smart grid is clarified. Furthermore, the proposed method will be investigated by an IEEE test system in contrast with the result from actual concept in power grid to indicate its effectiveness.

关键词： Context Smart grids

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Robust control reconfiguration of resource allocation systems with Petri nets and integer programming

Robust control reconfiguration of resource allocation system...

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作者： Li, Jun Zhou, Mengchu Guo, Tao Gan, Yahui Dai, Xianzhong Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education China School of Automation Southeast University Nanjing 210096 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 201804 China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ 07102 United States

Supervisory control reconfiguration can handle the uncertainties including resource failures and task changes in discrete event systems. It was not addressed to exploit the robustness of closed-loop systems to accommodate some uncertainties in the prior studies. Such exploitation can cost-efficiently achieve reconfigurability and flexibility for real systems. This paper presents a robust reconfiguration method based on Petri nets (PNs) and integer programming for supervisory control of resource allocation systems (RASs) subject to varying resource allocation relationships. An allocation relationship is seen as a control specification while the execution processes requiring resources as an uncontrolled plant. First, a robust reconfiguration mechanism is proposed. It includes updating the P-invariant-based supervisor and evolving the state of the closed-loop system. The latter adapts to the control specification changes by the self-regulation of the closed-loop system's state. Next, two novel integer programming models for control reconfiguration are proposed, called a reconfiguration model with acceptability and reconfiguration one with specification correction. Since both models integrate the firability condition of transitions, no additional efforts are required for the state reachability analysis. Finally, a hospital emergency service system is used as an example to illustrate them. © 2014 Elsevier Ltd. All rights reserved.

关键词： Integer programming

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Improving guide-based vulnerability detection with hybrid symbolic execution

Improving guide-based vulnerability detection with hybrid sy...

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International Conference on systems and Informatics (ICSAI)

作者： Yongji Ouyang Shuai Zeng Chao Yang Qingxian Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China State Key Laboratory of Management and Control for Complex System Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781479954599

Symbolic Execution is a key and useful technology in current refinement software test, but there still exists some problems such as space explosion. In order to mitigate this problem and improve the ability for detecting vulnerabilities, this paper presents the improving guide-based vulnerability detection with hybrid symbolic execution, which aims to test suspicious objects. This method conducts path traversal with a hybrid symbolic execution model, which alternates between dynamic and static symbolic execution, and verify whether it is vulnerability through summarizing the characteristics of vulnerabilities and generating a constraint expression. Experimental result shows that this method can successfully detect errors in 56 seconds, which exceeds any other modern mainstream symbolic execution tools including CUTE, KLEE, S2E and cloud9. Compared with CUTE, this method alleviates the problem of space explosion. Besides, this papaer successfully verifies the vulnerabilities of OpenSSL and some other commonly used software.

关键词： Testing Algorithm design and analysis Software Explosions Refining Context Hybrid power systems

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Using artificial plant optimization algorithm with dynamic population and cluster methods to optimize the performance of DV-Hop

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Sensor Letters 2014年第8期12卷 1313-1317页

作者： Wu, Xuexue Cui, Zhihua Dai, Chaohua Chen, Weirong Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Electric Engineering Southwest Jiaotong University Sichuan China

Artificial plant optimization algorithm is a novel stochastic population-based evolutionary algorithm by simulating the plant growing process. In this paper, a new variant, which is called APOA-DC is proposed by incorporating with dynamic population size and cluster methods, furthermore, to investigate the performance, APOA-DC is applied to optimize the DV-Hop localization algorithm, simulation results show it achieves better performance than the DV-Hop algorithm.

关键词： Evolutionary algorithms

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Improved low energy adaptive clustering hierarchy protocol based on local centroid bat algorithm

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Sensor Letters 2014年第9期12卷 1372-1377页

作者： Cao, Yang Cui, Zhihua Li, Feixiang Dai, Chaohua Chen, Weirong Complex System and Computational Intelligence Laboratory Taiyuan University of Science and Technology Shanxi China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Electric Engineering Southwest Jiaotong University Sichuan China

Bat algorithm (BA) is a novel intelligent optimization algorithm. In order to improve the poor local search capability of the algorithm, we present a new variant of bat optimization algorithm based on local centroid strategy (LCBA). Meanwhile, LEACH is a low energy adaptive clustering hierarchy algorithm for wireless sensor networks (WSN). And it has many disadvantages such as random selection of cluster head, taking no account of the remaining energy and position of nodes. To solve these problems, this paper proposes an improved LEACH protocol based on local centroid bat algorithm. The improved protocol divides the cluster head selection process into optimization of temporary cluster head and formal cluster head selection. First, we generate temporary cluster heads by traditional LEACH protocol, then optimize these cluster heads based on LCBA and select formal cluster heads according to the remaining energy of nodes. The result of experiment shows that, comparing with LEACH, LEACH-LCBA can balance the network load efficiently, improve the energy utilization, prolong the network lifetime.

关键词： Energy utilization

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Dynamics of Interacting Diseases

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Physical Review X 2014年第4期4卷 041005-041005页

作者： Joaquín Sanz Cheng-Yi Xia Sandro Meloni Yamir Moreno Institute for Biocomputation and Physics of Complex Systems (BIFI) University of Zaragoza Zaragoza 50018 Spain Department of Theoretical Physics University of Zaragoza Zaragoza 50009 Spain Key Laboratory of Computer Vision and System (Ministry of Education) and Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin 300191 People’s Republic of China Complex Networks and Systems Lagrange Lab Institute for Scientific Interchange Turin 10126 Italy

Current modeling of infectious diseases allows for the study of complex and realistic scenarios that go from the population to the individual level of description. However, most epidemic models assume that the spreading process takes place on a single level (be it a single population, a metapopulation system, or a network of contacts). In particular, interdependent contagion phenomena can be addressed only if we go beyond the scheme-one pathogen-one network. In this paper, we propose a framework that allows us to describe the spreading dynamics of two concurrent diseases. Specifically, we characterize analytically the epidemic thresholds of the two diseases for different scenarios and compute the temporal evolution characterizing the unfolding dynamics. Results show that there are regions of the parameter space in which the onset of a disease’s outbreak is conditioned to the prevalence levels of the other disease. Moreover, we show, for the susceptible-infected-susceptible scheme, that under certain circumstances, finite and not vanishing epidemic thresholds are found even at the limit for scale-free networks. For the susceptible-infected-removed scenario, the phenomenology is richer and additional interdependencies show up. We also find that the secondary thresholds for the susceptible-infected-susceptible and susceptible-infected-removed models are different, which results directly from the interaction between both diseases. Our work thus solves an important problem and paves the way toward a more comprehensive description of the dynamics of interacting diseases.

关键词： complex systems Interdisciplinary physics Statistical physics

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Social manufacture cloud mode in high-end apparel, footwear and hats

Social manufacture cloud mode in high-end apparel, footwear ...

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World Congress on Intelligent Control and Automation (WCICA)

作者： Xiuqing Shang Baoli Su Xiwei Liu Gang Xiong Zengbo You The State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Chinese Academy of Sciences Cloud Computing Center Dongguan Guangdong Province China Beijing Engineering Research Center of Intelligent Systems and Technology

This paper expounds the high-end apparel footwear and hats manufacture industry society mode of cloud services, achieve consumers actively participate in the high-end apparel, footwear and hats industry of mass customization services. Through social production theory and the combination of cloud computing services, use many kinds of 3D technology, new process technology of cooperative management, e-commerce, logistics and wisdom dynamic value chain analysis and so on the many kinds of technologies, constructed with size and cost of mass production, customization of new clothing, footwear and hats business model, and implements all participate in the design, all involved in manufacture, and everyone involved for “a new type of manufacture and service mode, will effectively drive the transformation and upgrading of industries, and bring new economic growth.

关键词： Business Collaboration Clothing Crowdsourcing Three-dimensional displays Computational modeling

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Haptic interfaces for the rescue walking robots motion in the disaster areas

Haptic interfaces for the rescue walking robots motion in th...

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UKACC International Conference on Control (CONTROL)

作者： Luige Vladareanu Octavian Melinte Adrian Bruja Hongbo Wang Xiaojie Wang Shuang Cang Hongnian Yu Zeng-Guang Hou Xiao-Liang Xie Robotics and Mechatronics Department Institute of Solid Mechanics C-tin Mille 15 Bucharest 1 ROMANIA School of Design Engineering and Computing Boumemouth University Poole Dorset UK Parallel Robot and Mechatronic System Laboratory of Hebei Province University Qinhuangdao CHINA State Key Laboratory of Management and Control for Complex Systems Beijing P.R.CHINA

In the recent years haptic interfaces became a reliable solution in order to solve problems which arise when humans interact with the environment. If in the research area of the haptic interaction between human and environment there are important researches, a innovative approach for the interaction between the robot and the environment using haptic interfaces and virtual projection method is presented in this paper. In order to control this interaction we used the Virtual Projection Method where haptic control interfaces of impedance and admittance will be embedded. The obtained results, validated by simulations assure stability, stiffness, high maneuverability and adaptability for rescue walking robots in order to move in disaster, dangerous and hazardous areas.

关键词： Haptic interfaces Legged locomotion Robot sensing systems Impedance Force

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