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17th International Conference on Information Fusion, FUSION 2014

作者： Braines, Dave Preece, Alun De Mel, Geeth Pham, Tien Emerging Technology Services IBM United Kingdom Ltd Hursley Park Winchester United Kingdom School of Computer Science and Informatics Cardiff University Cardiff United Kingdom IBM TJ Watson Research Center Yorktown HeightsNY United States US Army Research Laboratory AdelphiMD United States

ISBN: (纸本)9788490123553

Rapid but informed decision-making capabilities at lower echelons are fast becoming a necessity in many coalition operations due to the dynamism associated with such environments. In this paper we investigate technologies to assist CoIST (Company Intelligence Support Team) users operating at the network edge in support of military operations. Through an integration experiment we illustrate the impact of such technologies in rapid decision-making situations. The paper describes the technology integration experiment in the context of a vignette and shows how a natural language conversational interface between human and machine agents in a hybrid team is used. The system can capture local information reporting, infer high value information based on background knowledge, automatically raise intelligence tracking tasks and match, rank and propose appropriate assets to tasks, taking into account contextual factors such as environmental and the distributed network conditions. The approach utilizes ontology-based resource matching capabilities and uses a Controlled Natural Language as a human-friendly - but machine processable - language that is expressive enough to serve as a single common format for both human and machine processing. This capability is designed to operate in a lightweight distributed environment at the edge of the network. © 2014 International Society of Information Fusion.

关键词： Ontology

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Multi-user access control scheme based on resources hierarchies for perceptual layer of IoT

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Tien Tzu Hsueh Pao/Acta Electronica Sinica 2014年第1期42卷 28-35页

作者： Ma, Jun Guo, Yuan-Bo Ma, Jian-Feng Liu, Xi-Meng Li, Qi School of Computer Science and Technology Xidian University Xi'an Shaanxi 710071 China PLA Information Engineering University Zhengzhou Henan 450004 China Shaanxi Key Laboratory of Network and System Security Xidian University Xi'an Shaanxi 710071 China

A novel hierarchical access control scheme for perceptual layer of the IoT is presented based on resources hierarchies, which could conform to the secure and efficient access requirement of multi-user. In the scheme, every hierarchical node is composed of perceptual nodes which provide resources with the same levels of security. More hierarchical nodes can be modeled as a set of partially ordered classes. With this mode, a deterministic key derivation algorithm is designed, which makes every user and perceptual node possesses a single key material to get some keys, and obtains the resources at the presented class and all descendant classes in the hierarchy. Furthermore, a mechanism of Merkle tree is introduced to guarantee secure and efficient multi-user key material derivation by independent of each hash link. Compared with previous proposals, the scheme is more suitable for multi-user to access resources of perceptual layer in IoT.

关键词： Access control

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Community detection based on social network analysis in question and answer systems

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Journal of Computational Information systems 2013年第15期9卷 6297-6305页

作者： Feng, Xiaonan Wu, Jinfu Tian, Ye Anhui Province Key Laboratory on High Performance Computing School of Computer Science and Technology University of Science and Technology of China Hefei 230026 China

A community-based question and answer (CQA) system is an integrated Internet platform for users to share knowledge, and it becomes very popular in recent years. In this paper, we study social network structures of CQA systems based on the dataset collected from "Baidu Knows", which is the largest CQA system in China. By exploiting the question-answer interactions among the users, we construct two networks, and find that both exhibit strong social network characteristics, including scale-free, smallworld, and rich-club properties;in addition, interest-oriented user communities can be detected from the networks. Motivated by the observation, we propose a novel algorithm, namely multilayer speakerlistener label propagation algorithm (MSLPA), to detect user communities. Evaluation using real-world data from "Baidu Knows" suggests that the algorithm can effectively detect the genuine communities in which users share common interests. Comparing with existing approaches, our algorithm is able to avoid forming large number of tiny communities and integrates similar communities. We believe that with these nice properties, the proposed algorithm can be applied in many applications, such as question/answer recommendation, for improving the knowledge qualities in the CQA systems. © 2013 Binary Information Press.

关键词： Population dynamics

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Cloud Data Management for Scientific Workflows: Research Issues, Methodologies, and State-of-the-Art

Cloud Data Management for Scientific Workflows: Research Iss...

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International Conference on Semantics, Knowledge and Grid (SKG)

作者： Dong Yuan Lizhen Cui Xiao Liu School of Software and Electrical Engineering Swinburne University of Technology Melbourne Australia School of Computer Science and Technology Shandong University Jinan China Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai China

ISBN: (纸本)9781479967162

Data-intensive scientific applications are posing many challenges in distributed computing systems. In the scientific field, the application data are expected to double every year over the next decade and further. With this continuing data explosion, high performance computing systems are needed to store and process data efficiently, and workflow technologies are facilitated to automate these scientific applications. Scientific workflows are typically very complex. They usually have a large number of tasks and need a long time for execution. Running scientific workflow applications usually need not only high performance computing resources but also massive storage. The emergence of cloud computing technologies offers a new way to develop scientific workflow systems. Scientists can upload their data and launch their applications on the scientific cloud workflow systems from everywhere in the world via the Internet, and they only need to pay for the resources that they use for their applications. As all the data are managed in the cloud, it is easy to share data among scientists. This kind of model is very convenient for users, but remains a big challenge to the system. This paper proposes several research topics of data management in scientific cloud workflow systems, and discusses their research methodologies and state-of-the-art solutions.

关键词： Cloud computing Computational modeling Data models Distributed databases High performance computing Hardware Runtime

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A Robust Collaborative Recommendation Algorithm Based on k-distance and Tukey M-estimator

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China Communications 2014年第9期11卷 112-123页

作者： YI Huawei ZHANG Fuzhi LAN Jie School of Information Science and Engineering Yanshan University Qinhuangdao 066004 Hebei Province E R.China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 P. R. China Liaoning University of Technology Jinzhou 121001 Liaoning Province P. R. China

The existing collaborative recommendation algorithms have lower robustness against shilling *** this problem in mind,in this paper we propose a robust collaborative recommendation algorithm based on k-distance and Tukey ***,we propose a k-distancebased method to compute user suspicion degree(USD).The reliable neighbor model can be constructed through incorporating the user suspicion degree into user neighbor *** influence of attack profiles on the recommendation results is reduced through adjusting similarities among ***,Tukey M-estimator is introduced to construct robust matrix factorization model,which can realize the robust estimation of user feature matrix and item feature matrix and reduce the influence of attack profiles on item feature ***,a robust collaborative recommendation algorithm is devised by combining the reliable neighbor model and robust matrix factorization *** results show that the proposed algorithm outperforms the existing methods in terms of both recommendation accuracy and robustness.

关键词： shilling attacks robust collaborative recommendation matrix factori-zation k-distance Tukey M-estimator

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A measurement-based study on user management in private BitTorrent communities

A measurement-based study on user management in private BitT...

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作者： Jiang, Honglei Jin, Hai Guo, Song Liao, Xiaofei Services Computing Technology and System Lab School of Computer Science and Technology Huazhong University of Science and Technology Wuhan China School of Computer Science and Engineering University of Aizu Aizu-Wakamatsu Japan

Beyond the traditional BitTorrent, a new genre of peer-to-peer communications protocol for worldwide file sharing is rapidly evolving towards private BitTorrent (PT). In recent years, a proliferation of PT communities have emerged. To enhance the user experience, account-based share-ratio enforcement (SRE) has been developed and widely adopted. Whereas existing studies mainly take SRE as an incentive, we discover that it also plays a critical role in selecting and filtering users. In addition to SRE, a rich set of user management rules, such as registration management, banning policies, and user caste system, are also studied in this paper. This includes to explore their effects on user behavior, download performance, content availability, and system scalability. The measurement results presented in this paper are based on large-scale experiments conducted over six representative PT sites for over a year. We find that the stricter registration will lead to fewer new users, resulting in a scalability problem, which is critical for the PT communities because the download performance and content availability depend on not only the contribution of users but also the population of the community. Our measurement and analysis pose a direction for the design of new incentive mechanisms that take the difficulty of enrollment into the *** © 2012 John Wiley & Sons, Ltd. Copyright © 2012 John Wiley & Sons, Ltd.

关键词： Behavioral research

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Design of unknown input observer for a class of nonlinear systems

Design of unknown input observer for a class of nonlinear sy...

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IEEE International Conference on Industrial technology (ICIT)

作者： Yongming Yang Yaqiang Li Yong Feng State Key Laboratory of Power Transmission Equipment & System Security and New Technology Chongqing University Chongqing China School of Computer Science and IT RMIT University Melbourne Australia

In the field of control, observing the nonlinear system state and unknown input have always occupied a very important position. A class of unknown input observer presented in this paper is using the nonsingular terminal sliding mode method which not only improves the accuracy of observer, but also can converges the error to zero in finite time. With the stronger robustness of the system, the sliding mode control signal can track the system state more accurately. Finally, there are the simulation results to verify the feasibility of this design.

关键词： Observers Nonlinear systems MIMO Educational institutions Simulation Equations Laboratories

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Parallel architecture and optimization for discrete-event simulation of spike neural networks

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science China(Technological sciences) 2013年第2期56卷 509-517页

作者： TANG YuHua ZHANG BaiDa WU JunJie HU TianJiang ZHOU Jing LIU FuDong Department of Computer Science and Technology School of ComputerNational University of Defense Technology State Key Laboratory of High Performance Computing National University of Defense Technology College of Mechatronic Engineering and Automation National University of Defense Technology

Spike neural networks are inspired by animal brains,and outperform traditional neural networks on complicated ***,spike neural networks are usually used on a large scale,and they cannot be computed on commercial,off-the-shelf computers.A parallel architecture is proposed and developed for discrete-event simulations of spike neural ***,mechanisms for both parallelism degree estimation and dynamic load balance are emphasized with theoretical and computational *** results show the effectiveness of the proposed parallelized spike neural network system and its corresponding support components.

关键词： spike neural network discrete event simulation intelligent parallelization framework

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Stereovision-Only Based Interactive Mobile Robot for Human-Robot Face-to-Face Interaction

Stereovision-Only Based Interactive Mobile Robot for Human-R...

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International Conference on Pattern Recognition

作者： Lei Chen Zhen Dong Sheng Gao Baofeng Yuan Mingtao Pei Beijing Institute of Spacecraft System Engineering Beijing P.R. China Beijing Laboratory of Intelligent Information Technology School of Computer Science Beijing Institute of Technology Beijing P.R. China

ISBN: (纸本)9781479952106

In this paper, we present a stereovision-only based interactive mobile robot for supporting human-robot face-to-face interaction in the real world. A three-level architecture, which consists of sensor level, perception level and behavior level, is designed for the robot in order to perceive, understand and react to the human activity during interaction based only on visual information. A high performance stand-alone stereovision system (RGBD imager), developed in our lab, is applied to obtain the composite of color (RGB) images and dense disparity (D) maps at video rate. The RGBD imager allows the robot a human-like 3-D visual perception ability to (1) autonomously detect the human of interest whom the robot could interact with using the offline learning approaches, and (2) focus exclusively on the target human while both the human and the robot are moving during interaction using on-line learning approaches. We demonstrate and evaluate the performance of our interactive mobile robot in an office environment. The experimental results show that a reliable and dynamic face-to-face interaction is achieved, so that the target human face is always kept in the field of view and at a suitable social distance from the robot.

关键词： Robot sensing systems Skin Mobile robots Visualization Detectors Image color analysis

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An expected item bias based hybrid approach for recommendation system

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第2期7卷 131-140页

作者： Xu, Kaikuo Yuan, Changan Li, Fan Liu, Xianbin College of Computer Science Chengdu University of Information Technology ChengDu 610225 China Guangxi Teachers Education University Nanning 530001 China Cloud Computing Open Laboratory Chengdu University of Information Technology ChengDu 610225 China School of Computer Science Sichuan University China

To improve the accuracy of memory based recommendation while keeping the low time cost, an expected item bias (EIA) based similarity computation is proposed. And a hybrid approach (HA) integrating the global rating information and local rating information is also proposed. The features of two classical datasets MovieLens and Netflix for recommendation system benchmarking are anglicized. The experiments on MovieLens and Netflix show that both EIA and HA could improve the performance alone. A combinational use of them will lead even better results on the two benchmark datasets. © 2014 SERSC.

关键词： Collaborative filtering

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