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IEEE Annual Conference on Decision and Control

作者： Wenling Li Yingmin Jia Junping Du Jun Zhang Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronic and Information Engineering Beihang University (BUAA) Beijing 100191 China

ISBN: (纸本)9781467357159

In this paper, we address the problem of multitarget tracking with unknown measurement noise variance parameters by the probability hypothesis density (PHD) filter. Based on the concept of conjugate prior distributions for noise statistics, the inverse-Gamma distributions are employed to describe the dynamics of the noise variance parameters and a novel implementation to the PHD recursion is developed by representing the predicted and the posterior intensities as mixtures of Gaussian-inverse-Gamma terms. As the target state and the noise variance parameters are coupled in the likelihood functions, the variational Bayesian approximation approach is applied so that the posterior is derived in the same form as the prior and the resulting algorithm is recursive. A numerical example is provided to illustrate the effectiveness of the proposed filter.

关键词： Nickel

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State estimation for jump Markov linear systems with uncompensated biases

State estimation for jump Markov linear systems with uncompe...

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American Control Conference

作者： Wenling Li Yingmin Jia Junping Du Jun Zhang Deyuan Meng Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 China. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 China School of Electronic and Information Engineering Beihang University (BUAA) Beijing 100191 China

ISBN: (纸本)9781479901777

This paper studies the problem of state estimation for jump Markov linear systems with uncompensated biases. By describing the state and the measurement biases as additive random variables, a suboptimal filter has been developed by applying the basic interacting multiple model (IMM) approach. To derive a precise representation of the biases contributions to the state estimation, three auxiliary matrices are introduced with respect to the correlation between the state estimation errors and the biases, which helps to derive mode-conditioned estimates in the framework of the IMM. A numerical example involving tracking a maneuvering target is provided to compare the performance of the proposed filter with that of the augmented state filter.

关键词： Jump Markov linear system Interacting multiple model Uncompensated bias State estimation Bias uncompensated maneuvering target Linear system interacting boson model Markov jump IMM

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Managing implicit requirements using semantic case-based reasoning research preview

Managing implicit requirements using semantic case-based rea...

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18th Working Conference on Requirements engineering: Foundation for software Quality, REFSQ 2012

作者： Daramola, Olawande Moser, Thomas Sindre, Guttorm Biffl, Stefan Department of Computer and Information Science Norwegian University of Science and Technology Trondheim Norway Christian Doppler Laboratory for Software Engineering Integration for Flexible Automation Systems Vienna University of Technology Austria

ISBN: (纸本)9783642287138

[Context and motivation] Implicit requirements (ImRs) are defined as requirements of a system which are not explicitly expressed during requirements elicitation, often because they are considered so basic that developers should already know them. Many products have been rejected or users made unhappy because implicit requirements were not sufficiently addressed. [Question/Problem] Requirement management tools have not addressed the issue of managing ImRs, also despite the challenges of managing ImRs that exist in practice the issue has not received sufficient attention in the literature. [Principal Idea/results] This planned research will investigate how automated support can be provided for managing ImRs within an organizational context, which is currently lacking in practice. This work proposed an approach that is based on semantic case-based reasoning for managing ImRs. [Contribution] We present the concept of a tool which enables managing of ImRs through the analogy-based requirements reuse of previously known ImRs. This ensures the discovery, structured documentation, proper prioritization, and evolution of ImRs, which improves the overall success of software development processes. © 2012 Springer-Verlag.

关键词： Case based reasoning

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Reports of the AAAI 2011 fall symposia

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AI Magazine 2012年第1期33卷 71-78页

作者： Blisard, Sam Carmichael, Ted Ding, Li Finin, Tim Frost, Wende Graesser, Arthur Hadzikadic, Mirsad Kagal, Lalana Kruijff, Geert-Jan M. Langley, Pat Lester, James McGuinness, Deborah L. Mostow, Jack Papadakis, Panagiotis Pirri, Fiora Prasad, Rashmi Stoyanchev, Svetlana Varakantham, Pradeep Interactive Systems Section Naval Research Laboratory Washington DC United States Department of Software and Information Systems University of North Carolina Charlotte United States Qualcomm Inc. United States Department of Computer Science and Electrical Engineering University of Maryland Baltimore County United States Department of Psychology Institute of Intelligent Systems University of Memphis United States Computer Science and Artificial Intelligence Laboratory Massachusetts Institute of Technology United States Germany Department of Computer Science and Engineering Arizona State University Tempe AZ United States Department of Computer Science North Carolina State University United States Department of Computer Science and Cognitive Science Rensselaer Polytechnic Institute United States School of Computer Science Carnegie Mellon University United States Department of Informatics and Systems University of Sapienza Rome Italy Department of Informatics and Systems ALCOR Lab University of Sapienza Rome Italy Department of Health Informatics and Administration University of Wisconsin-Milwaukee United States Columbia University United States School of Information Systems Singapore Management University Singapore Singapore

The Association for the Advancement of Artificial Intelligence was pleased to present the 2011 Fall Symposium Series, held Friday through Sunday, November 4-6, at the Westin Arlington Gateway in Arlington, Virginia. The titles of the seven symposia are as follows: (1) Advances in Cognitive systems;(2) Building Representations of Common Ground with Intelligent Agents;(3) Complex Adaptive systems: Energy, Information, and Intelligence;(4) Multiagent Coordination under Uncertainty;(5) Open Government Knowledge: AI Opportunities and Challenges;(6) Question Generation;and (7) Robot-Human Teamwork in Dynamic Adverse Environments. The highlights of each symposium are presented in this report. Copyright © 2012, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Intelligent agents

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A location-price-based buyer coalition

A location-price-based buyer coalition

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2012 IEEE 12th International Conference on computer and Information Technology, CIT 2012

作者： Narabin, Santit Boonjing, Veera Software Systems Engineering Laboratory Department of Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand National Centre of Excellence in Mathematics PERDO Bangkok Thailand

ISBN: (纸本)9780769548586

A buyer coalition is a group of buyers who join together to negotiate with sellers to purchase items for a larger discount. In this article, a novel buyer coalition scheme, called the "GroupSimilarBuyer Scheme, " is introduced. The new idea focuses on buyer coalition formation based on similarity of buyers. The mechanism of approach begins to prepare data for driving the next step. Then, a k-mean clustering algorithm is used to form the coalition of buyers which are very similar in both reservation price and location of buyer. In addition, the utility of each buyer coalition is calculated. Based on the simulation result, the GroupSimilarBuyer showed that the average standard deviation of the coalition was nearly the optimum result. © 2012 IEEE.

关键词： Clustering algorithms

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Editorial

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International Journal of Bio-Inspired Computation 2013年第4期5卷 197-198页

作者： Camacho, David Badica, Costin Bein, Doina Warnier, Martijn Computer Science Department Escuela Politecnica Superior Universidad Autonoma de Madrid C/Francisco Tomás y Valiente 28049 Madrid Spain Software Engineering Department Faculty of Automatics Computers and Electronics University of Craiova Bvd. Decebal 107 200440 Craiova Romania Applied Research Laboratory Information Science and Technology Division Pennsylvania State University 204 V Applied Science Building University Park PA 16802 United States Systems Engineering Section Faculty of Technology Policy and Management Delft University of Technology Jaffalaan 5 2628BX Delft Netherlands

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Modeling the affective states of students using SQL-tutor

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11th International Conference on Intelligent Tutoring systems, ITS 2012

作者： Guia, Thea Faye G. Rodrigo, Ma. Mercedes T. Dagami, Michelle Marie C. Sugay, Jessica O. Macam, Francis Jan P. Mitrovic, Antonija Ateneo Laboratory for the Learning Sciences Department of Information Systems and Computer Science Ateneo de Manila University Loyola Heights Quezon City Philippines Department of Computer Science and Software Engineering University of Canterbury Private Bag 4800 Christchurch New Zealand

We attempted to build models of affect of students using SQL-Tutor. Most exhibited states are engaged concentration, confusion and boredom. Though none correlated with achievement, boredom and frustration persisted. U... 详细信息

ISBN: (纸本)9783642309496

关键词： Artificial intelligence

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Formation learning algorithms for mobile agents subject to 2-D dynamically changing topologies

Formation learning algorithms for mobile agents subject to 2...

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American Control Conference

作者： Deyuan Meng Yingmin Jia Junping Du Jun Zhang Wenling Li Seventh Research Division and the Department of Systems and Control Beihang University (BUAA) Beijing 100191 P. R. China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia School of Computer Science and Technology Beijing University of Posts and Telecommunications Beijing 100876 P. R. China School of Electronic and Information Engineering Beihang University (BUAA) Beijing 100191 P. R. China

ISBN: (纸本)9781479901777

In this paper, we consider a two-dimensional (2-D) formation problem for multi-agent systems subject to switching topologies that dynamically change along both a finite time axis and an infinite iteration axis. We present a distributed iterative learning control (ILC) algorithm via the nearest neighbor rules. By employing the 2-D approach, we develop both the asymptotic and exponentially fast convergence of our formation ILC, which can be guaranteed by conditions in terms of the spectral radius and the matrix norms, respectively.

关键词： Multi-agent systems ILC switching topologies formation learning algorithms learning algorithms Multi-agent systems International Labour Conference Mobile agents spectral radius

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High availability through output continuity

High availability through output continuity

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2012 IEEE International Conference on Cluster Computing Workshops, Cluster Workshops 2012

作者： Ye, Wei Dong, Yaozu Ma, Ruhui Liang, Alei Guan, Haibing Shanghai Key Laboratory of Scalable Computing and Systems Department of Computer Science and Engineering Shanghai Jiao Tong University Shanghai 200240 China Intel China Software Center Shanghai 200241 China

ISBN: (纸本)9780768548449

Virtual machine (VM) based state machine approaches, i.e. VM replication, provide high availability without source code modifications, unfortunately, existing VM replication approaches suffer from excessive replication overheads. On the other hand, machine state replication is an overly strong (and therefore less efficient) requirement for high availability in the networked client-server system. In this paper, we propose a generic and highly efficient high availability solution through output continuity. Output continuity considers a backup server as a valid replica as long as the responses generated so far are the same between the backup and primary servers, the server state is propagated from the primary server to the backup server if and only if the previous outputs from the backup and primary servers are different. © 2012 IEEE.

关键词： Fault tolerance

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An efficient algorithm for mining complete share-frequent itemsets using BitTable and heuristics

An efficient algorithm for mining complete share-frequent it...

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2012 International Conference on Machine Learning and Cybernetics, ICMLC 2012

作者： Nawapornanan, Chayanan Boonjing, Veera Software Systems Engineering Laboratory Department of Mathematics and Computer Science King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand National Centre of Excellence in Mathematics PERDO Bangkok 10400 Thailand

ISBN: (纸本)9781467314855

This paper proposes a new efficient algorithm for mining share-frequent itemsets from BitTable knowledge - extracted once from a transaction database. The knowledge contains sufficient information for such a mining task and provides efficient interactive access. The algorithm finds all share-frequent itemsets by level-wise generating complete promising candidates from a BitTable using heuristics and testing for desired solutions. Simulation results reveal that the proposed algorithm perform significantly better than ShFSM and DCG both runtime and a number of generated candidates. © 2012 IEEE.

关键词： Data mining

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