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作者： Liu, Jin Li, Juan Cui, Xiaohui Niu, Xiaoguang Sun, Xiaoping Zhou, Jing 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 PEAs and road condition attributions PRCAs. 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. PEAs 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. © 2015 John Wiley & Sons, Ltd.

关键词： Buses

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Dynamic reconfiguration of composite convergent services supported by multimodal search 18th

Dynamic reconfiguration of composite convergent services sup...

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18th International Conference on Business Information Systems, BIS 2015

作者： Ordòñez, Armando Ordòñez, Hugo Figueroa, Cristhian Cobos, Carlos Corrales, Juan Carlos Intelligent Management Systems Fundaciòn Universitaria de Popayàn Popayàn Colombia Research Laboratory for Software Engineering Universidad de San Buenaventura Cali Colombia Telematics Engineering Group Universidad Del Cauca Popayàn Colombia Software Engineering Group Politecnico di Torino Turin Italy Information Technology Research and Development Group Universidad Del Cauca Popayàn Colombia

ISBN: (纸本)9783319190266

Composite convergent services integrate a set of functionalities from Web and Telecommunication domains. Due to the big amount of available functionalities, automation of composition process is required in many fields. However, automated composition is not feasible in practice if reconfiguration mechanisms are not considered. This paper presents a novel approach for dynamic reconfiguration of convergent services that replaces malfunctioning regions of composite convergent services considering user preferences. In order to replace the regions of services, a multimodal search is performed. Our contributions are: a model for representing composite convergent services and a region-based algorithm for reconfiguring services supported by multimodal search. © Springer International Publishing Switzerland 2015.

关键词： Dynamic models

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Judicial precedents search supported by natural language processing and clustering 10

Judicial precedents search supported by natural language pro...

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10th Colombian Computing Conference, 10CCC 2015

作者： Calambas, Manuel Alejandro Ordonez, Armando Chacon, Angela Ordonez, Hugo Intelligent Management Systems Group Fundación Universitaria de Popayán Cauca Colombia Universidad Autónoma Del Cauca Cauca Colombia Research Laboratory in Development of Software Engineering Universidad San Buenaventura Cali Colombia

ISBN: (纸本)9781467394642

The judicial precedent facilitates decision-making by judges based on previous sentences. However, legal professionals should look among a large number of documents sentences serve as support for its ongoing cases. This work shows the progress in developing a system that uses technologies of natural language processing and grouping (clustering) to optimize the process of search and analysis of these court documents. © 2015 IEEE.

关键词： Decision making

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A polynomial algorithm to performance analysis of concurrent systems via petri nets and ordinary differential equations

A polynomial algorithm to performance analysis of concurrent...

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作者： Ding, Zuohua Zhou, Yuan Zhou, Meng Chu Laboratory of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou310018 China Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai200092 China Department of Electrical and Computer Engineering New Jersey Institute of Technology NewarkNJ07102-1982 United States

In this paper, a new method is proposed to evaluate the performance of concurrent systems. A concurrent system consisting of multiple processes that communicate via message passing mechanisms is modeled by a Petri net, which is in turn represented by a set of ordinary differential equations (ODEs) of a restricted type. The equations describe the system state changes, and the solutions, also called state measures, can be used for the performance analysis such as estimating response time, throughput and efficiency. This method can avoid a state explosion problem encountered by the conventional methods based on Continuous-Time Markov Chains. Its application to an IBM business system is given as an example. © 2004-2012 IEEE.

关键词： Ordinary differential equations

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Complex optimization problems using highly efficient particle swarm optimizer

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Telkomnika (Telecommunication Computing Electronics and Control) 2014年第4期12卷 1023-1030页

作者： Lei, Kaiyou Pu, Changjiu Intelligent Software and Software Engineering Laboratory Southwest University Chongqing China Network Center Chongqing University of Education Chongqing China

Many engineering problems are the complex optimization problems with the large numbers of global andlocal optima. Due to its complexity, general particle swarm optimization method inclines towards stagnation phenomena in the later stage of evolution, which leads to premature convergence. Therefore, a highly efficient particle swarm optimizer is proposed in this paper, which employ the dynamic transitionstrategy ofinertia factor, search space boundary andsearchvelocitythresholdbased on individual cognitionin each cycle to plan large-scale space global search and refined local search as a whole according to the fitness change of swarm in optimization process of the engineering problems, and to improve convergence precision, avoid premature problem, economize computational expenses, and obtain global optimum. Several complex benchmark functions are used to testify the new algorithm and the results showed clearly the revised algorithm can rapidly converge at high quality solutions.

关键词： Particle swarm optimization (PSO)

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A novel naive bayes classifier model based on differential evolution 11th

A novel naive bayes classifier model based on differential e...

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11th International Conference on intelligent Computing, ICIC 2015

作者： Li, Jun Fang, Guokang Li, Bo Wang, Chong College of Computer Science and Technology Wuhan University of Science and Technology WUST Wuhan430065 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System WUST Wuhan430065 China State Key Laboratory of Software Engineering Wuhan University Wuhan430072 China

ISBN: (纸本)9783319221793

Naive Bayes (NB) classifier is a simple and efficient classifier, but the independent assumption of its attribute limits the application of the actual data. This paper presents an approach called Differential Evolution-Naive Bayes (DE-NB) which takes advantage of combining differential evolution with naive Bayes for attribute selection to improve naive Bayes classifier. This method applies DE firstly to search out an optimal subset of attributes reduction in the original attribute space, and then constructs a naive Bayes classifier on the gotten subset of the attributes reduction. Nineteen experimental results on UCI datasets distinctly show that compared with Cfs-BestFirst algorithm, NB algorithm, Support Vector Machine (SVM) algorithm, Decision Tree (C4.5) algorithm, K-neighbor (KNN) algorithm, the proposed algorithm has higher classification accuracy. © Springer International Publishing Switzerland 2015.

关键词： Feature Selection

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Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web 24

Exploration of Semantic-aware Approach for Contextual Sugges...

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24th Text REtrieval Conference, TREC 2015

作者： Wang, Yuan Zhang, Yongfeng Zhang, Yi Zhang, Xintong Liu, Jie Huang, Yalou College of Computer and Control Engineering Nankai University Tianjin300071 China College of Software Nankai University Tianjin300071 China State Key Laboratory of Intelligent Technology and Systems Department of Computer Science Tsinghua University Beijing100084 China School of Engineering University of California Santa Cruz95060 United States

This paper describes our group’s first attempt on the Contextual Suggestion Track of the Twenty-fourth Text REtrieval Conference (TREC 2015). The task aims to provide recommendations on attractions for various kinds of users under different and complex contexts. TREC provides two ways to participate in the track: one is to create a web server that can respond to contextual related queries called "Live Experiment", the other is to submit run files that have all the responses to the released requests called "Batch Experiment". For Live Experiment, due to lack of training data, our approach sticks closely to the defined relevance judgement criteria and context knowledge. We take linear interpolation to combine a variety of factors and contextual related knowledge. For Batch Experiment, we further consider domain preference under user attributes, and take existing Machine Learning based methods in principle. We show that feature engineering is a vital part for attraction suggestions. We find that the performance of suggestions to the provided user profiles and contexts has been improved using domain preference analysis. © 2015 24th Text REtrieval Conference, TREC 2015 - Proceedings. All Rights Reserved.

关键词： User profile

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Asynchronous adaptive delay tolerant index cache using in-memory delta cell

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Informatica (Slovenia) 2015年第4期39卷 443-449页

作者： Ma, Kun Yang, Bo Shandong Provincial Key Laboratory of Network Based Intelligent Computing University of Jinan Jinan250022 China Shandong Provincial Key Laboratory of Software Engineering Shandong University Jinan250100 China

Relational database indexes, used to speed up access to data stored in a database, are maintained when data in the source table of the index is modified. Therefore, relational database index management can involve time consuming manual analysis and specialized development efforts, and impose organizational overhead and database usage costs, especially in the context of big data. To address this limitation, this paper proposes an asynchronous adaptive delay tolerant index cache using in-memory delta cell. The contributions of index cache are adaptive management and fine-grained delta cell. Finally, our experimental evaluation shows that this simple index cache has the features such as update efficiency with frequent changes, transparency to developers, and low impact on database performance.

关键词： Cytology

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Formal modeling and verification of secure mobile agent systems

Formal modeling and verification of secure mobile agent syst...

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IEEE International Conference on Automation Science and engineering (CASE)

作者： Mingyue Jiang Zuohua Ding Mengchu Zhou Yuan Zhou Laboratory of Intelligent Computing and Software Engineering Zhejiang Sci-Tech University Hangzhou China Department of Electrical and Computer Engineering New Jersey Institute of Technology Newark NJ USA

Security of a Mobile Agent System (MAS), which has been a barrier to wider applications of a MAS, remains a compelling problem. Formal methods have been applied to this problem, and various formal models have recently been studied. However, many of them either lack of mechanisms that can protect a MAS or depend on simulation based analysis. In this paper, we concentrate on one specific category of security threats, namely, the agent-platform related security issues, and present a new method for formally modeling and verifying a secure MAS. To model a secure MAS, we equip the MAS with secure mechanisms, and propose an extended logical agent model (ELAM) for formally describing it. By transforming the ELAM to the input model of model checker SPIN, the MAS is further verified by using model checking technique. We apply ELAM to the competing airline carriers system to check its security, and our experimental results show that the proposed method works well in modeling and verifying a secure MAS.

关键词： Mobile agents Cryptography Connectors Servers Atmospheric modeling Tin

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Topic discovery of clusters from documents with geographical location

Topic discovery of clusters from documents with geographical...

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作者： Zhang, Li Sun, Xiaoping Zhuge, Hai Knowledge Grid Lab Key Lab of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Nanjing University of Posts and Telecommunications Nanjing Jiangsu China State Key Laboratory of Software Engineering Wuhan University Wuhan Hubei China University of Chinese Academy of Sciences Beijing China

As smart phones with GPS become popular, more and more textual documents with geographical locations are published on the Web. Keyword-based location services like vehicle navigation, tour planning, nearby object querying, and location pattern discovering of spatial objects are becoming popular and important. However, processing both text and geographical locations brings more challenges to information-retrieval techniques. In this paper, we focus on the problem of finding textual topics of clusters containing spatial objects with text descriptions. The key is how to combine clustering techniques with topic-retrieval models to integrate both geo-location information and text information. We investigated methods that combine clustering methods with the Latent Dirichlet Allocation model to discover topics of clusters of documents with geo-locations. Six different methods of combination are investigated, each having outputs with different meanings, which can be further leveraged to answer different types of queries over spatial documents. Experiments are conducted on both synthetic and real data. The results show that the combination of the probabilistic topic model with clustering algorithms is an efficient and effective way to discover meaningful clusters in different facets and levels of documents with textual and geographical information. © 2015 John Wiley & Sons, Ltd.

关键词： Cluster analysis

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