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Investigation of the effective connectivity of resting state networks in Alzheimer's disease: a functional MRI study combining independent components analysis and multivariate Granger causality analysis

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NMR IN BIOMEDICINE 2012年第12期25卷 1311-1320页

作者： Liu, Zhenyu Zhang, Yumei Bai, Lijun Yan, Hao Dai, Ruwei Zhong, Chongguang Wang, Hu Wei, Wenjuan Xue, Ting Feng, Yuanyuan You, Youbo Tian, Jie Chinese Acad Sci Inst Automat Intelligent Med Res Ctr State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Capital Med Univ Dept Neurol Beijing Tiantan Hosp Beijing 100050 Peoples R China Shaanxi Normal Univ Sch Psychol Xian 710062 Peoples R China Xidian Univ Life Sci Res Ctr Sch Life Sci & Technol Xian 710071 Shaanxi Peoples R China

Recent neuroimaging studies have shown that the cognitive and memory decline in patients with Alzheimer's disease (AD) is coupled with abnormal functions of focal brain regions and disrupted functional connectivity between distinct brain regions, as well as losses in small-world attributes. However, the causal interactions among the spatially isolated, but functionally related, resting state networks (RSNs) are still largely unexplored. In this study, we first identified eight RSNs by independent components analysis from resting state functional MRI data of 18 patients with AD and 18 age-matched healthy subjects. We then performed a multivariate Granger causality analysis (mGCA) to evaluate the effective connectivity among the RSNs. We found that patients with AD exhibited decreased causal interactions among the RSNs in both intensity and quantity relative to normal controls. Results from mGCA indicated that the causal interactions involving the default mode network and auditory network were weaker in patients with AD, whereas stronger causal connectivity emerged in relation to the memory network and executive control network. Our findings suggest that the default mode network plays a less important role in patients with AD. Increased causal connectivity of the memory network and self-referential network may elucidate the dysfunctional and compensatory processes in the brain networks of patients with AD. These preliminary findings may provide a new pathway towards the determination of the neurophysiological mechanisms of AD. Copyright (c) 2012 John Wiley & Sons, Ltd.

关键词： Alzheimer's disease resting state functional MRI effective connectivity independent components analysis multivariate Granger causality analysis

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Design and implementation of a wireless video sensor network

Design and implementation of a wireless video sensor network

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IEEE International Conference on Networking, Sensing and control

作者： Bin Tian Xue-Liang Zhao Qing-Ming Yao Lei Zha State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Jiangsu China Sciences Intelligent Engineering Company Limited Suzhou China

As a new research field in wireless sensor network (WSN), wireless video sensor network (WVSN) makes surveillance multifunctional and intelligent, with rich and intuitive sensing information. It attracts more and more researchers' attention. We design and implement a wireless video sensor network prototype system, using WIFI as the wireless communication solution and CMOS video camera as the front-end sensor. The wireless video node adopts ARM11 based embedded platform. As back-end processing algorithm, the node realizes moving object detection. Finally, we verify the sensor network system. WIFI network can transmit video sequences smoothly. The moving object detection algorithm performs well.

关键词： Wireless communication Wireless sensor networks IEEE 802.11 Standards Object detection Program processors CMOS integrated circuits Cameras

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Identifying Important Users in Sina Microblog

Identifying Important Users in Sina Microblog

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International Conference on Multimedia Information Networking and Security (MINES)

作者： Jiaqi Liu Zhidong Cao Kainan Cui Feng Xie State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Department of Automation Tsinghua University Tsinghua National Lab for Information Science and Technology Tsinghua University Beijing China

ISBN: (纸本)9781467330930

Important users are high-status vertices in social networks. They are everywhere in most fields of society and have big impact on those around them. Although a lot of effort has been made on identifying important users, the efficient methods still need to be developed, especially for the web users from Sina microblog, which is the most popular social networking sites in China and has unique characteristics. In this paper, a machine learning-based method which only uses several attributes on Naive Bayes Classifiers (NBC) and Back Propagation Neural Network (BPNN) was proposed to identify important users. Initial experiments indicate that our method is effective. The result of "high" category has more than 55% accuracy rate. We find the NBC can identify more important users while BPNN has higher accuracy rate. What's more, the numbers of follower and followings in Sina microblog is independent.

关键词： Social network services Training Neural networks Accuracy Security Learning systems Educational institutions

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Human behavior model and its application on performance management in a chemical plant workshop

Human behavior model and its application on performance mana...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Han, Feng Liu, Xiwei Shang, Xiuqin Cheng, Changjian Li, Bo Fan, Dong Olefine Plant SINOPEC Qilu Petrochemical Co. Ltd. Zibo China School of Chemical Engineering Beijing University of Chemical Technology Beijing China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan China

ISBN: (纸本)9781467324007

To investigate the influences of performance management rules on human behavior in a chemical plant workshop, we construct an artificial workshop. It mainly contains human behavior model, workshop environment model including the definition of work position performance management rules and production events, and their interaction rules. The human behavior model is built based on DISC (Dominance, Influence, Steadiness, Compliance) behavior model and the Agent technology. A platform for workshop human behavior computing is finally created for computational experiments on performance management and decision-making. The platform can be used as a support for refined management in the chemical plant. © 2012 IEEE.

关键词： Chemical plants

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Unscented Particle Filter with Systematic Resampling Localization Algorithm Based on RSS for Mobile Wireless Sensor Networks

Unscented Particle Filter with Systematic Resampling Localiz...

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

作者： Zhengjie Wang Xiaoguang Zhao Xu Qian School of Mechanical Electronic & Information Engineering China University of Mining & Technology (Beijing) Beijing China State Key Laboratory of Management and Control for Complex Systems Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781467358088

We consider the problem of mobile sensor node localization and propose an unscented particle filter algorithm in wireless sensor networks (WSNs) consisting of mobile nodes and static anchor nodes. Because the received signal strength (RSS) varies obviously, we employ particle filter to decrease the bad effect. We first form the system state model, mobile model, and RSS model, and then apply unscented particle filter and utilize the systematic resample to decrease the degeneration of the particle. We eliminate the uncertain of the RSS in wireless channel and get accurate location of mobile nodes. The predicted position of the mobile node is constrained by its velocity and the measurement value of RSS. We do a lot of simulation to validate the algorithm by assigning different parameters. Simulation results show that the algorithm enhances the localization accuracy of mobile node compared with the standard particle filter algorithm.

关键词： Mobile wireless sensor networks Localization Received signal strength (RSS) Unscented particle filter Systematic resampling Wireless sensor networks RSS gene Really Simple Syndication REACTOR SAFETY STUDY Particle filters Particle filtering algorithm Mobile Mobile nodes Resampling Values in measurement wireless channels

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Research on intelligent scientific research collaboration platform and taking journal intelligence system as example

Research on intelligent scientific research collaboration pl...

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2012 IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI 2012

作者： Lu, Hao Zheng, Xiaolong Sun, Xingkai Zhang, Nan 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 Beijing Engineering Research Center of IntelligentSystems and Technology Institute of Automation Chinese Academy of Sciences Beijing China Chinese Association of Automation Beijing China

ISBN: (纸本)9781467324007

Currently, the research issues are becoming increasingly global and complex. In order to master more and more professional and comprehensive ability to solve problems, it is proposed in this paper that academic intelligence, journal intelligence, conference intelligence, paper intelligence and so on are integrated together to establish intelligent scientific research collaboration platform. And taking the system application of Science and Technology Review as example, the process of scientific research collaboration is carried out to verify the effectiveness of the system. In conclusion, the scientific research collaboration platform could satisfy the comprehensive needs for effectively acquiring a mass of information and launching scientific research collaboration as well as facilitating academic communication. © 2012 IEEE.

关键词： scientific research Intelligence Platform journals

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Modeling and analysis of information dissemination mechanism of social media

Modeling and analysis of information dissemination mechanism...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Jiachen Hou Gang Xiong Dong Fan Timo R. Nyberg State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Dongguan China Institute of Automation Chinese Academy of Sciences Beijing Beijing CN Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China BIT Research Centre Aalto University Aalto Finland

With the fast development of Internet and data volume increase in Internet, Internet is playing more important role in information spreading in recent years. It is reported that social network is a typical complex network expressed with scale free degree. Emergency cases are happening more and more often in China and all over the world, the governments has realized that it is necessary to monitor and manage the information spreading on social network. In this paper, a new experiment platform frame, which is based on SPA (Spreading Activation) model and social centrality, is proposed to validate the information spreading speed in social network, to help the administration department to manage social network more efficiently.

关键词： Computational modeling Media Data models World Wide Web

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The analysis of a scheduling strategy with energy balance for linear wireless sensor networks

The analysis of a scheduling strategy with energy balance fo...

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31st Chinese control Conference, CCC 2012

作者： Wang, Zhengjie Zhao, Xiaoguang Qian, Xu Shandong University of Science and Technology Qingdao 266590 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China Beijing 100083 China

ISBN: (纸本)9789881563811

Considering the linear wireless sensor network application scenarios, such as road, bridge, tunnel and metro where linear network and multi-hop traffic pattern make the energy consumption unbalanced. The nodes near the base station are required to forward the large amount of traffic for other nodes, which exhausts their energy and results in the failure of network monitoring. In order to solve this problem, a linear wireless sensor network and uniform deployment strategy are considered and an optimal scheduling strategy based on the nonlinear programming is presented. The constraint is formed by the energy model and the requirement of balanced energy consumption. The network lifetime can be extended by adjusting the proportion of traffic and the distance to next hop. The factors affecting the energy efficiency are analyzed and simulation is presented. Simulation results show that energy balance can be achieved by adjusting the communication distance and traffic and network lifetime can be extended. © 2012 Chinese Assoc of Automati.

关键词： Energy balance

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Reinforcement Learning control Based on Multi-Goal Representation Using Hierarchical Heuristic Dynamic Programming

Reinforcement Learning Control Based on Multi-Goal Represent...

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International Joint Conference on Neural Networks

作者： Zhen Ni Haibo He Dongbin Zhao Danil V. Prokhorov Department of Electrical Computer and Biomedical Engineering University of Rhode Island State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Toyota Research Institute NA TTC

ISBN: (纸本)9781467314886

We are interested in developing a multi-goal generator to provide detailed goal representations that help to improve the performance of the adaptive critic design (ACD). In this paper we propose a hierarchical structure of goal generator networks to cascade external reinforcement into more informative internal goal representations in the ACD. This is in contrast with previous designs in which the external reward signal is assigned to the critic network directly. The ACD control system performance is evaluated on the ball-and-beam balancing benchmark under noise-free and various noisy conditions. Simulation results in the form of a comparative study demonstrate effectiveness of our approach.

关键词： ACD gene Automatic Shutoff Devices noise-free critic hierarchical structure Noise learning (artificial intelligence) dynamic programming Generator dynamos Heuristics

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Design and Analysis of Multi-Winding Power Current Transformer for Power Transmission Lines Inspection Robot

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Procedia Engineering 2012年 29卷 2187-2193页

作者： Mingbo Yang Zize Liang Hanbo Qian En Li Guodong Yang State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 P. R. China The Center of Coordination&Support of SASTIND Beijing 100081 P. R. China

Special current transformer (CT) is designed to induct power from the power transmission lines for an inspection robot. Equivalent circuit is used for calculating and modelling the parameters of the current transformer. Air gap analysis is given aiming at adapting dynamic range of bar current, and calculation of the effect of air gap is provided in detail. Ratio change of current transformer is introduced by which the secondary current could be adaptive to the bus current. Simulation results show that dynamic control of length of air gap and turns of the coils could make the current transformer be adaptive to the variable bus current and be more convenient for inducing power for the power transmission lines inspection robot.

关键词： current transformer induction charging inspection robot

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