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31st Chinese control Conference, CCC 2012

作者： Xinchao, Zhang Pengfeng, Li Hongxin, Chen Zengguang, Hou State Key Laboratory of Intelligent Control and Management of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China CNOOC Research Institute Beijing 100025 China

ISBN: (纸本)9789881563811

This paper presents a novel downhole power supply control system using fuzzy PID control strategy. The control system is powered by a downhole turbine generator which generates AC voltage. The output of the turbine generator is processed through a full wave bridge rectifier and filter, and then input to the phase-shifted full-bridge PWM controller. A digital signal processor TMS320F2809 is used as the main control unit of the regulator control module. In order to verify the effectiveness of this system, a fuzzy proportion integration differentiation (F-PID) controller is used to control the phase-shifted full-bridge switching power supply, and the results presented that the controller can ensure the stability for power supply. © 2012 Chinese Assoc of Automati.

关键词： Fuzzy control

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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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Structural analysis and design of round belt drive snake-like robot

Structural analysis and design of round belt drive snake-lik...

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IET International Conference on Information Science and control Engineering 2012 (ICISCE 2012)

作者： Xuandon Su Junyao Gao Zhengyang Zhao Qianying Wu Chengzu Huang Intelligent Robotics Institute Key Laboratory of Biomimetic Robots and Systems Ministry of education State Key Laboratory of “Intelligent control of complex systems and decision” School of Mechatronical Engineering Beijing Institute of Technology Nandajie Zhongguancun Haidian 100081 China

Twisting between adjacent modules drive is the main way to drive the snake-like robot. It is hard to build a mathematical model for the kind of snake-like robot and the control of it is very complex in the realistic environment. In purpose of developing a new kind of snake-like robot which is easy to model, a new way to drive snake-like robot which we call skin drive was invented. With this way, structure of snake-like robot can be very simple and easy to model. Besides control of snake-like robot can be simple. Eventually a snake-like robot was built and it is called round belt drive snake-like robot. Through some experiment and analysis, it is concluded that this new kind of snake-like robot is easy to model and easy to control and its structure is simple to build. In this paper, three important topics were analyzed and elaborated. They are round belt analysis and design, active pulley structure and guide pulley arrangement. Of course, some experiments were done to verify the round belt drive snake-like robot performance. Some experiment process and results were shown at the end in this paper.

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Description for 3D images with histogram of gradients based on maximum directional derivative

International Journal of Digital Content Technology and its ...

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International Journal of Digital Content Technology and its Applications 2012年第4期6卷 15-23页

作者： Wang, Hu Zhang, Wensheng Liu, Jin State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing 100190 China State Key Laboratory of software Engineering Computer School Wuhan University Wuhan 430072 China

The histogram of gradients for three-dimensional images (HOG3D) has been widely used to generate descriptors of local features for the matching of salient interest blobs between volumetric medical images. The distinctiveness of descriptors is essential to match similar patterns as well as differentiate different patterns. However, most methods for HOG3D are based on the unequal azimuth-elevation-angle division of the three-dimensional orientations, leading to the reduction of the distinctiveness. This paper presents a description method to extract distinctive descriptors by using a novel histogram of gradients based on the maximum directional derivative (HOG3DMAX). The three-dimensional orientations are divided equally into 24 homogeneous regions for the bins of gradient histogram to improve the distinctiveness. In addition, the interpolation of gradients is applied in HOG3DMAX according to the relatively simple form of the homogeneous regions in order to avoid harmful effects from boundary in images. Experiments were performed on three sets with different extents of similarity. The cluster analysis and classification accuracy were utilized to validate the proposed method. Compared with the commonly used azimuth-elevation based method, the new method shows lower intra-cluster pairwise distances relative to inter-cluster pairwise distances, and achieved 5% higher classification accuracy. The results indicate the improvement of distinctiveness by using equally divided regions and the interpolation of gradients. We conclude that the HOG3DMAX is an effective description method for three-dimensional images.

关键词： Cluster analysis

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

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

When multivariate forecasting meets unsupervised feature lea...

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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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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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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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Click frauds and price determination models

Click frauds and price determination models

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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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