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Research on students' mental crisis monitoring and intervention mechanism based on online social network

Research on students' mental crisis monitoring and intervent...

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

作者： Li, Suna Shao, Xia Zhao, Feifei Tianjin Polytechnic University Tianjin China 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

ISBN: (纸本)9781467324007

Internet as the fertile ground of free speech, everyone can express their emotions, cognition and views of things via the internet, especially in the era of Web2.0, the occurrence of blog which provides a wider space for personal speech. Internet provides a broad platform for contemporary college students to express thought and emotion, at the same time it provides a channel for education workers to understand students' thought and mental. Through real-time monitoring information on school area network, we can get real-time status, mood and some dynamic data which can portray characteristics of emotion of the concerned entity;also we can abstract the characterization of psychological crisis information, and use this feature to do data mining on these data. In this way we can find group of students which have tendency of psychological crisis, and use corresponding psychological crisis intervention online and offline methods to ease students' psychological crisis and to prevent tragic events in timely. © 2012 IEEE.

关键词： Students

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When multivariate forecasting meets unsupervised feature learning - Towards a novel anomaly detection framework for decision support

When multivariate forecasting meets unsupervised feature lea...

引用

International Conference on Information systems, ICIS 2012

作者： Wang, Jiawei Ren, Jimmy Sj Wang, Wei Li, Xin Li, Qiudan Liao, Stephen S.Y. Department of Information Systems USTC-CityU Joint Advanced Research Centre 166 Ren'ai Road Suzhou China Department of Information Systems City University of Hong Kong 83 Tat Chee Avenue Hong Kong State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781627486040

Many organizations adopt information technologies to make intelligent decisions during operations. Time-series data plays a crucial role in supporting such decision making processes. Though current studies on time-series based decision making provide reasonably well results, the anomaly detection essence underling most of the scenarios and the plenitude of unlabeled data are largely overlooked and left unexplored. We argue that by using multivariate forecasting and unsupervised feature learning, these two important research gaps could be filled. We carried out two experiments in this study to testify our approach and the results showed that decision support performance was significantly improved. We also proposed a novel framework to integrate the two methods so that our approach may be generalized to a larger problem domain. We discussed the advantages, the limitations and the future work of our study. Both practical and theoretical contributions were also discussed in the paper. © 2012 by the AIS/ICIS Administrative Office All rights reserved.

关键词： Decision support systems

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GPU based ordinal optimization for traffic signal coordination

GPU based ordinal optimization for traffic signal coordinati...

引用

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

作者： Wang, Kai Shen, Zhen Changsha Hunan China State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Songshan Lake Dongguan 523808 Guangdong Province China

ISBN: (纸本)9781467324007

Traffic signal coordination has long been a hot topic in Intelligent Transportation systems (ITS) research. Simulation-based optimization is an important method to optimize the coordination designs as the traffic systems are not easily described by mathematical models accurately. For the traffic simulator in the method, micro-simulation is becoming more and more popular than the macroscopic or mesoscopic simulation in recent years, as the micro-simulation can describe drivers' decision-making process and their driving behaviors in the framework of ITS. However, the computing burden for the micro-simulation is usually very heavy as a large number of vehicles are modeled and simulated separately. For the optimizer in the method, iterative algorithms such as Genetic Algorithms (GA), Ant Colony Optimization (ACO), and Particle Swarm Optimization (PSO) are widely used to find the global optimal solutions. However, these algorithms usually take too much time to converge when a large-scale road network is encountered. To alleviate the computing burden and speed up the convergence, we build an agent-based traffic simulator and employ Ordinal Optimization (OO) as the optimizer. We accelerate both the simulator and the optimizer with Graphics Processing Unit (GPU), which has been applied successfully in many areas for parallel computing. Simulation results show the effectiveness of the OO method and the power of GPU for parallel computing. © 2012 IEEE.

关键词： Graphics processing unit

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A GPU based trafficparallel simulation module of artificial transportation systems

A GPU based trafficparallel simulation module of artificial ...

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

ISBN: (纸本)9781467324007

Traffic micro-simulation is an important tool in the Intelligent Transportation systems (ITS) research. In the micro-simulation, a bottom up system can be built up by the interactions of vehicle agents, road agents, traffic lights agents, etc. The Artificial societies, Computational experiments, and Parallel execution (ACP) approach suggests integrating other metropolitan systems such as logistic, infrastructure, legal and regulatory, weather and environmental systems to build an Artificial Transportation System (ATS) to help solve ITS problems. This is reasonable as the transportation system is complex that is affected by many systems interacting with each other. However, there is a challenge that the computing burden can be very heavy as there can be many agents of different kinds interacting in parallel in ATS. In recent years, the Graphics Processing Units (GPUs) have been applied successfully in many areas for parallel computing. Compared with the traditional CPU cluster, GPU has an obvious advantage of low cost of hardware and electricity consumption. In this paper, we build a parallel traffic simulation module of ATS with GPU. The simulation results are reasonable and a maximum speedup factor of 105 is obtained compared with the CPU implementations. © 2012 IEEE.

关键词： Graphics processing unit

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A Simplified Minimum Enclosing Ball based Fast Incremental Support Vector Machine (SVM) Algorithm for Person Detection and Tracking

A Simplified Minimum Enclosing Ball based Fast Incremental S...

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World Congress on Intelligent control and Automation

作者： Suiwu Zheng Hong Qiao Lihao Jia Toshio Fukuda State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Department of Micro-Nano Systems Engineering Nagoya University

ISBN: (纸本)9781467313971

In order to meet the requirements of stable person detection and tracking techniques in dynamic visual system, we propose a simplified minimum enclosing ball based fast incremental support vector machine (SVM) algorithm for person detection and tracking. Based on the simplified minimum enclosing ball (MEB) method, we propose a simplified and fast incremental algorithm to compute the MEB. By utilizing the equivalence between MEB and the dual problem in SVM, we achieve the online and incremental adjustment of the SVM classifier coefficients. The proposed method do not need to solve the quadratic programming problem. It is fast for training. Moreover, it can achieve the online update of classifiers for object tracking with small sample size. Finally, the efficiency of the proposed incremental SVM is validated by detection experiments on dynamic pedestrians tracking system.

关键词： Person Detection Incremental Support Vector Machine

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A monitoring network based on embedded vision nodes suitable for robotic systems 1

引用

5th International Conference on Intelligent Robotics and Applications, ICIRA 2012

作者： Jiao, Jile Ye, Shuguang Cao, Zhiqiang Yang, Yuequan Liu, Xilong Tan, Min State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China JiangSu King Source Electric Co. Ltd. Jiangsu 225200 China College of Information Engineering Yangzhou University Yangzhou 225009 China

ISBN: (数字)9783642335037

ISBN: (纸本)9783642335020

A visual monitoring network suitable for robotic systems is presented in this paper. The monitoring network is composed of embedded vision nodes. By interacting with an upper computer as well as the robotic system, the monitoring network provides an important supplement, which may accelerate the task execution. Each embedded vision node captures and processes images independently, and it is easy to install with compact size. The vision node contains a S3C2440 processor as the main processing module, a CMOS camera as the image capturing module and a zigbee module for wireless communication. The detection based on frame difference or color feature is used to determine the mass center of moving object. On this basis, the object information from one vision node may also be sent to another one for stereo vision localization with stereo vision model and least square method. Application examples are demonstrated to testify the monitoring network. © Springer-Verlag Berlin Heidelberg 2012.

关键词： Zigbee

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ACP based 3D emergency drills system for petrochemical plants

ACP based 3D emergency drills system for petrochemical plant...

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10th World Congress on Intelligent control and Automation, WCICA 2012

作者： Jing, Sifeng Cheng, Changjian Xiong, Gang Liu, Xiwei Shang, Xiuqin Wang, Weixing State Key Laboratory of Management and Control for Complex Systems Beijing Engineering Research Center of Intelligent Systems and Technology Institute of Automation Chinese Academy of Sciences Beijing 100190 China Dongguan Research Institute of CASIA Cloud Computing Industrial Technology Innovation and Incubation Center Chinese Academy of Sciences Songshan-Lake 523808 China

ISBN: (纸本)9781467313988

To further enhance emergency management skills of an organisation's emergency response personnel, emergency response training,especially 3D emergency drill, is currently becoming more and more important in the petrochemical sector. So, a novel 3D emergency drills system is designed and developed based on ACP approach, which can be used for mocking emergency response plan drills and evaluating the plan. A case study reveals that the performance of the system is good and the system can meet the needs of emergency response training and optimizing emergency response plan in petrochemical plants. © 2012 IEEE.

关键词： Personnel training

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Impact of Evacuee Behavior on Evacuation Clearance Time

Impact of Evacuee Behavior on Evacuation Clearance Time

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10th World Congress on Intelligent control and Automation (WCICA)

作者： Lv Yisheng Zhu Fenghua Xiong Gang Yao Qingming Chen Songhang Ye Peijun Chinese Acad Sci Inst Automat State Key Lab Management & Control Complex Syst Beijing 100190 Peoples R China Chinese Acad Sci Cloud Comp Ind Technol Innovat & Incubat Ctr Dongguan Res Inst CASIA Dongguan 523808 Peoples R China

ISBN: (纸本)9781467313988

Evacuation is an effective strategy to mitigate damage of man-made or natural disasters. Evacuation clearance time is one of the key indicators in evacuation planning and management. Evacuees' destination choice and route choice behavior are two crucial factors used to estimate evacuation clearance time. However, these two factors are viewed as constants in previous research, and the quantification of the impact of these two factors is lacking. In this paper, the authors report impact of variation of evacuees' destination choice and route choice behavior on evacuation clearance time. The impact analysis is done based on a case study by using an artificial transportation system platform called TransWorld. And the best values of evacuees' destination choice and route choice behavior are given, respectively. The computational experimental results illustrate that if evacuation managers adopt reasonable strategies to guide evacuees' destination choice and route choice, it can significantly reduce evacuation clearance time. The simulation methodology, computational results and discussion can be used for future emergency evacuation planning. This study also provides potentials of new emergency evacuation management and control strategies from the perspective of evacuee behavior.

关键词： Emergency Evacuation Evacuee Behavior Computational Experiments Evacuation Clearance Time

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Click frauds and price determination models

Click frauds and price determination models

引用

IEEE International Conference on Intelligence and Security Informatics, ISI

作者： Xiarong Li Daniel Zeng Lei Wang State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences China University of Arizona Tucson USA

Click fraud (CF) has become a serious problem in the online advertising, making the anti-CF issue quite important. In this paper, we analyze the effects of the price determination model on the CF situations in online advertising. Our theoretical results show that the flat-rate model can induce more click frauds than the real-time-bidding model. Our finding is validated with a real advertising dataset.

关键词： Advertising Biological system modeling Games Mathematical model Analytical models Filtering Nash equilibrium

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Semi-supervised Chinese Word Segmentation for CLP2012 2

Semi-supervised Chinese Word Segmentation for CLP2012

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2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing, CLP 2012

作者： He, Sai-Ke He, Nan Cen, Song-Xiang Lu, Jun State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100190 China Co. Ltd China Baidu Inc Baidu Campus No. 10 Shangdi 10th Street Haidian District Beijing100085 China

Chinese word segmentation (CWS) lays the essential foundation for Mandarin Chinese analysis. However, its performance is always limited by the identification of unknown words, especially for short text such as Micro-blog. While local context are helpless in handling unknown words, global context do manifest enough contextual information, and could be used to guide CWS process. Based on this motivation, in this paper, we report our attempt toward building an integrated model in semi-supervised manner. Considering the complexity of model, we design a strategy to manipulate global and local contextual information asynchronously. Though the coverage of unknown words by such integrated model is still small, official results from CLP2012 present promising result. © 2021 CLP 2012 - 2nd CIPS-SIGHAN Joint Conference on Chinese Language Processing. All Rights Reserved.

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