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Symposia and Workshops on Ubiquitous, Autonomic and Trusted Computing, UIC-ATC

作者： Hong Lu Bohong Yang Rui Zhao Pengliang Qu Wenqiang Zhang Shanghai Key Lab. of Intelligent Information Processing Fudan University P. R. China Shanghai Engineering Research Center for Video Technology and System Fudan University P. R. China

ISBN: (纸本)9781479976478

We propose in this paper an intelligent system for human fall detection in indoor environments. It can serve as home surveillance for elderly person. Specifically, we detect the human body captured by camera using the Vibe algorithm. Then Gabor feature of a human body is extracted as observation feature. Based on the extracted feature, incidents are detected as the changes from the standing state to the fall state in the feature space. The feature is detected on single image and is effective and efficient. Compared with the motion features across images combined with biological inspired feed-forward network, our method can obtain more robust detection results.

关键词： Feature extraction Senior citizens Conferences Support vector machines Robustness Surveillance Visualization

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Social sensing enhanced time estimation for bus service

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Concurrency and Computation: Practice and Experience 2015年第15期27卷

作者： Jin Liu Juan Li Xiaohui Cui Xiaoguang Niu Xiaoping Sun Jing Zhou State Key Lab. of Software Engineering Computer School Wuhan University Wuhan China Guangxi Key Laboratory of Trusted Software Guilin University of Electronic Technology Guilin China International School of Software Wuhan University Wuhan China Computer School Wuhan University Wuhan China Key Lab of Intelligent Information Processing Institute of Computing Technology CAS Beijing China School of Computer Science Communication University of China China

The precise prediction of bus routes or the arrival time of buses for a traveler can enhance the quality of bus service. However, many social factors influence people's preferences for taking buses. These social factors may include heavy traffic cost, traffic congestion, poor air quality and so forth. Existing prediction techniques rarely consider social sensing when predicting the bus arrival time. Accordingly, this paper proposes a social sensing enhanced service for predicting bus routes, which integrates sensing ability and social networks to understand and measure the influence between social events and vehicle velocity. We focus on the analysis of two different attributions: PT service quality attributions PEA s and road condition attributions PRCA s. Both of them synthesize the social sensing in their evaluation of bus routes. PEA represents individual preferences and PRCA represents physical factors that significantly influence vehicle velocity. Bus relevant social events were further categorized into PEA events or PRCA events. PEA s of buses were scored according to the tendency of bus conditions reflected in social events. Furthermore, an artificial neural network prediction model is established to estimate the bus travel time. Copyright © 2015 John Wiley & Sons, Ltd.

关键词： social sensing in-time bus service bus route arrival time estimation

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Design of intelligent capabilities in SDN

Design of intelligent capabilities in SDN

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International Conference on Wireless Communication, Vehicular technology, Information Theory and Aerospace and Electronic systems technology (Wireless VITAE)

作者： Hongyan Cui Yabo Zhu Yuan Yao Li Yufeng Yunjie Liu State Key Lab. of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing P. R. China Beijing Key Lab. of Network System Architecture and Convergence Information Engineering University of the People's Liberation Army Zhenzhou P. R. China

Software-Defined Networking (SDN) is an innovative and programmable networking architecture, representing the direction of the future network evolution. In this paper, we propose an architecture to introduce traffic classification techniques into the OpenFlow-based SDN network, which enables the network to be application-aware, so the network could distinguish various applications flows and know the requirements of different flows. Our new architecture also take advantage of the new intelligence to make the network forward traffic flows based flows' demands on bandwidth and delay, which could improve Quality of Service (QoS) of applications and optimize resource allocation all over the network.

关键词： Switches Quality of service Ports (Computers) Protocols Bandwidth Computer architecture

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Model Predictive Control for Household Energy Management based on Individual Habit

Model Predictive Control for Household Energy Management bas...

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第25届中国控制与决策会议

作者： keyu Long Zaiyue Yang State Key Lab. of Industrial Control Technology Zhejiang University Key Laboratory of System Control and Information Processing Ministry of Education

ISBN: (纸本)9781467355339

This paper focuses on the load shifting problem in a household scenario with a large-capacity battery. We propose a novel Model Predictive Control （MPC） framework to control the charge/discharge power of battery, hence to shave the peak load. Being different from other studies, the framework is designed on the base of individual habit of energy consumption, as it is envisioned that the individual habit is critical for choosing the suitable energy services. In this paper, the habit is modeled as a Markov process and gradually learned by an iterative algorithm;thus, the habit can be utilized for the prediction of future energy consumption. Then, the rolling optimization is applied for the optimal control of the charge/discharge power of battery. It is shown by numerical simulations that the proposed approach can significantly reduce the peak load.

关键词： Habit Model Predictive Control Markov Chain Nonlinear Optimization Household Energy Management

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Research on the fault calculation of AC-DC interconnected system under asymmetrical fault conditions

Research on the fault calculation of AC-DC interconnected sy...

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International Conference on Power system technology (POWERCON)

作者： Yichao Zhu Chongra Liu Qinghua Si Gengyin Li State Key Lab. for Alternate Electrical Power System with Renewable Energy Source North China Electric Power University Beijing China Platform Development for Stability Control Station Divison NARI Technology Development Limited Company Nanjing China

A numerical model of fault calculation for AC-DC interconnected system under asymmetrical fault is proposed. It involves two converter models that work effectively under asymmetrical fault. Firstly the article establishes a converter model that based on switching function. In which HVDC system is substituted as sequence impedance in the AC system. The article proposes another converter model that based on the power factor of converter. In which HVDC system can be substituted as power source in the AC system. By simplifying the dynamic characteristics of the control system of HVDC, the numerical model of control system is proposed, and the circuit model of HVDC system is established. Iterative algorithm is used to solve the fault system. The simulation results and calculation results are compared under several fault conditions, and the applicability of the model and switch function is discussed. Some further researches are carried out based on the numerical model.

关键词： Switches Mathematical model Firing HVDC transmission Numerical models Harmonic analysis

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A moving foreground expansion method based on the gaussian distribution

A moving foreground expansion method based on the gaussian d...

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2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing, GreenCom-iThings-CPSCom 2013

作者： Li, Yanhua Li, Wei Xiang, Qi State Key Laboratory of Virtual Reality Technology and System Key Lab. of Beijing Network Technology Beihang University Beijing China

ISBN: (纸本)9780769550466

With the development of computer science, intelligent video surveillance technology has been widely used, moving target detection becomes an important part in the field of intelligent video surveillance. Moving foreground extraction, which is the first step of moving target detection, decides the accuracy of moving target detection. Traditional frame difference, background subtraction and other moving foreground extraction algorithms do get the extracted results but still have some shortcomings, such as disabilities and holes. So a moving foreground expansion method based on Gaussian distribution is proposed in this paper. This method utilizes the theory of Gaussian distribution to establish the Gaussian kernel on the boundary of the moving foreground. Next, the mean and variance of the Gaussian kernel is calculated. And then the necessary probability can be obtained with the mean and variance. At last, we can determine whether to expand according to the contrast result of the probability and the stated threshold, making the missing parts get an effective supplement and expansion. The experiments show that the method can detect moving targets more accurately due to effectively complementing the moving foreground. © 2013 IEEE.

关键词： Gaussian distribution

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Corrigendum to “Fast and scalab.e lock methods for video coding on many-core architecture” [J. Vis. Commun. Image R. 25(7) (2014) 1758–1762]

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Journal of Visual Communication and Image Representation 2015年 27卷 57-57页

作者： Weizhi Xu Hui Yu Dianjie Lu Fenglong Song Da Wang Xiaochun Ye Songwei Pei Dongrui Fan Hongtao Xie Institute of Microelectronics Tsinghua University Beijing China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences Beijing China Key Lab. of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Information Science and Engineering Shandong Normal University Jinan China Department of Computer Science and Technology Beijing University of Chemical Technology Beijing China Institute of Information Engineering Chinese Academy of Sciences National Engineering Laboratory for Information Security Technologies Beijing China

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Corrigendum to “Fast and scalab.e lock methods for video coding on many-core architecture” [J. Vis. Commun. 25 (7) (2014) 1758–1762]

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Journal of Visual Communication and Image Representation 2015年 26卷 350-350页

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Automatic Target Segmentation based on Texture for Microscopic Images of Chinese Herbal Powders

Automatic Target Segmentation based on Texture for Microscop...

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第25届中国控制与决策会议

作者： Jun Li Yixu Song Yaoli Li Shaoqin Cai Zehong Yang State Key Laboratory of Intelligent Technology and Systems Computer Science and Technology Department Tsinghua University State Key Lab. of Natural and Biological Drugs School of Pharmaceutical Sciences Peking University

ISBN: (纸本)9781467355339

The identification of Chinese herbal powders is usually based on physical or chemical detection, but that is far from enough to identity dozens of herbal species. Microscopic images of these powders contain variety of information, and important evidence for identification. These images usually contain variety of substance, and most of them are noises, which makes the target segmentation become a difficult job. An effective automatic target segmentation algorithm based on texture is proposed in this paper. Our method consists of two steps: "Preliminary Segmentation" and "Further Segmentation". Firstly, feature vector of texture is extracted and clustered into two groups: background and foreground;secondly, taking the continuity of edge and the locality of target into consideration, energy equations are established, and Maximum flow-Minimum cut Algorithm is applied to solve them. Three groups of images are used to test our method: microscopic images of Chinese herbal powders, Brodaze Images, and natural texture images. And the experimental results show that our method achieves a better segmentation compared with Grab-Cut, and additionally user inter-action is not required in our method.

关键词： Chinese herbal powder microscopic images automatic segmentation texture feature

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Minimum error rate training for bilingual news alignment

Minimum error rate training for bilingual news alignment

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14th Workshop on Chinese Lexical Semantics, CLSW 2013

作者： Wang, Can Liu, Yang Sun, Maosong Department of Computer Science and Technology State Key Lab. on Intelligent Technology and Systems Tsinghua University Beijing 100084 China

ISBN: (纸本)9783642451843

News articles in different languages on the same event are invaluable for analyzing standpoints and viewpoints in different countries. The major challenge to identify such closely related bilingual news articles is how to take full advantage of various information sources such as length, translation equivalence and publishing date. Accordingly, we propose a discriminative model for bilingual news alignment, which is capable of incorporating arbitrary information sources as features. Chinese word segmentation, Part-of-speech tagging and Named Entity Recognition technologies are used to calculate the semantic similarities between words or text as feature values. The feature weights are optimized using the minimum error rate training algorithm to directly correlate training objective to evaluation metric. Experiments on Chinese-English data show that our method significantly outperforms two strong baseline systems by 12.7% and 2.5%, respectively. © 2013 Springer-Verlag.

关键词： Alignment

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