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2012 International Conference on computer and Information science, ICCIS 2012 - A Conference of World engineering, science and Technology Congress, ESTCON 2012

作者： Wei, Zeng Chen, Zhong Anwar, Afian Arisona, Stefan Müller McLoughlin, Ian Vince School of Computer Engineering Nanyang Technological University Singapore Future Cities Laboratory Singapore-ETH Centre ETH Zurich Switzerland Computer Science and Artificial Intelligence Lab. Massachusetts Institute of Technology United States

ISBN: (纸本)9781467319386

The rapidly increasing use of mobile devices for sensing applications, and the growing amount of simulated data generated from simulation tools such as agent-based transport simulations results in massive spatiotemporal datasets. Therefore, the demand for applications to manage and to visualize this data effectively in an interactive and easily understandable way increases quickly. Spatiotemporal visualization has long been recognized as being able to provide a suitable solution for creating such applications. However it remains a challenging task to combine such a visualization with interactive operation. In this paper, we describe MetroBuzz, a prototype system designed for visualizing large amounts of spatiotemporal data, and for interacting with the dataset in a way that is both interesting from a scientific viewpoint as well as for a broader non-expert audience. At its core, MetroBuzz generalizes activities in urban networks, specified as origin-destination trip information in terms of series of line segments in 3D space. These 3D elements are stored in a spatial index that allows quick retrieval of relevant data. Based on this, we implemented interactive tools to define queries on the spatial index in an intuitive manner. We show how such tools can be applied in the case of large transport simulation datasets. © 2012 IEEE.

关键词： Visualization

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Hair data model: A new data model for Spatio-Temporal data mining

Hair data model: A new data model for Spatio-Temporal data m...

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Conference on data Mining and Optimization, DMO

作者： Abbas Madraky Zulaiha Ali Othman Abdul Razak Hamdan Data Mining and Optimization Research Group (DMO) Centre for Artificial Intelligence Technology (CAIT) School of Computer Science Faculty of Information Science and Technology Universiti Kebangsaan Malaysia Malaysia

Spatio-Temporal data is related to many of the issues around us such as satellite images, weather maps, transportation systems and so on. Furthermore, this information is commonly not static and can change over the time. Therefore the nature of this kind of data are huge, analysing data is a complex task. This research aims to propose an intermediate data model that can represented suitable for Spatio-Temporal data and performing data mining task easily while facing problem in frequently changing the data. In order to propose suitable data model, this research also investigate the analytical parameters, the structure and its specifications for Spatio-Temporal data. The concept of proposed data model is inspired from the nature of hair which has specific properties and its growth over the time. In order to have better looking and quality, the data is needed to maintain over the time such as combing, cutting, colouring, covering, cleaning etc. The proposed data model is represented by using mathematical model and later developed the data model tools. The data model is developed based on the existing relational and object-oriented models. This paper deals with the problems of available Spatio-Temporal data models for utilizing data mining technology and defines a new model based on analytical attributes and functions.

关键词： data models Hair Object oriented modeling data mining Security Mathematical model Analytical models

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MetroBuzz: Interactive 3D visualization of spatiotemporal data

MetroBuzz: Interactive 3D visualization of spatiotemporal da...

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International Conference on computer & Information science (ICCIS)

作者： Wei Zeng Chen Zhong Afian Anwar Stefan Müller Arisona Ian Vince McLoughlin School of Computer Engineering Nanyang Technological University Singapore Future Cities Laboratory Singapore-ETH Centre ETH Zurich Switzerland Computer Science and Artificial Intelligence Lab Massachusetts Institute of Technology USA Nanyang Technological University Singapore Singapore SG

关键词： Biological system modeling Androids Humanoid robots Materials

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Advances in Intelligent and Soft Computing: Preface

Advances in Intelligent and Soft Computing

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Advances in Intelligent and Soft Computing 2012年 151 AISC卷 V-VI页

作者： Omatu, Sigeru De Paz Santana, Juan F. González, Sara Rodríguez Molina, Jose M. Bernardos, Ana M. Rodríguez, Juan M. Corchado Graduate School of Engineering Osaka Prefecture University Sakai Osaka Japan Department of Computer Science Faculty of Science University of Salamanca Salamanca Spain Applied Artificial Intelligence Group Universidad Carlos III de Madrid Colmenarejo Madrid Spain Data Processing and Simulation Group ETSI. Telecomunicación Universidad Politécnica de Madrid Madrid Spain

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A semantic infrastructure for a knowledge driven sensor web

A semantic infrastructure for a knowledge driven sensor web

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4th International Workshop on Semantic Sensor Networks 2011, SSN 2011 - A 10th International Semantic Web Conference, ISWC 2011

作者： Moodley, Deshendran Tapamo, Jules Raymond School of Computer Science University of KwaZulu-Natal Durban South Africa School of Electrical Electronic and Computer Engineering University of KwaZulu-Natal Durban South Africa CSIR Meraka Centre for Artificial Intelligence Research University of KwaZulu-Natal South Africa

Sensor Web researchers are currently investigating middleware to aid in the dynamic discovery, integration and analysis of vast quantities of high quality, but distributed and heterogeneous earth observation data. Key challenges being investigated include dynamic data integration and analysis, service discovery and semantic interoperability. However, few efforts deal with the management of both knowledge and system dynamism. Two emerging technologies that have shown promise in dealing with these issues are ontologies and software agents. This paper introduces the idea and identifies key requirements for a Knowledge Driven Sensor Web and presents our efforts towards developing an associated semantic infrastructure within the Sensor Web Agent Platform.

关键词： Multi agent systems

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Meeting Report: BioSharing at ISMB 2010

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Standards in genomic sciences 2010年第3期3卷 254-8页

作者： Dawn Field Susanna Sansone Edward F Delong Peter Sterk Iddo Friedberg Pascale Gaudet Susanna Lewis Renzo Kottmann Lynette Hirschman George Garrity Guy Cochrane John Wooley Folker Meyer Sarah Hunter Owen White Brian Bramlett Susan Gregurick Hilmar Lapp Sandra Orchard Philippe Rocca-Serra Alan Ruttenberg Nigam Shah Chris Taylor Anne Thessen Centre for Ecology & Hydrology Wallingford UK Oxford e-Research Centre University of Oxford Oxford UK Department of Biological Engineering Massachusetts Institue of Technology Cambridge USA Department of Microbiology Miami University Oxford USA Department of Computer Science and Software Engineering Miami University Oxford USA Swiss Institute of Bioinformatics Geneva 4 Switzerland Lawrence Berkeley National Laboratory Berkeley USA Microbial Genomics Group Max Planck Institute for Marine Microbiology & Jacobs University Bremen Bremen Germany Information Technology Center The MITRE Corporation Bedford USA Department of Microbiology and Molecular Genetics Michigan State University East Lansing USA European Molecular Biology Laboratory (EMBL) Outstation European Bioinformatics Institute (EBI) Cambridge UK University of California San Diego La Jolla USA Argonne National Laboratory Argonne USA Institute for Genome Sciences University of Maryland School of Medicine Baltimore USA Lux Bio Group Portland USA Biological Systems Science Division Department of Energy Washington DC USA National Evolutionary Synthesis Center (NESCent) Durham USA Science Commons c/o Massachusetts Institute of Technology Computer Science and Artificial Intelligence Laboratory Cambridge USA Stanford Center for Biomedical Informatics Research Stanford USA Marine Biological Laboratory USA

This report summarizes the proceedings of the one day BioSharing meeting held at the Intelligent Systems for Molecular Biology (ISMB) 2010 conference in Boston, MA, USA This inaugural BioSharing event was hosted by the Genomic Standards Consortium as part of its M3 & BioSharing special interest group (SIG) workshop. The BioSharing event included invited talks from a range of community leaders and a panel discussion at the end of the day. The panel session led to the formal agreement among community leaders to join together to promote cross-community knowledge exchange and collaborations. A key focus of the newly formed Biosharing community will be linking up resources to promote real-world data sharing (virtuous cycle of data) and supporting compliance with data policies through the creation of a one-stop-portal of information. Further information about the newly established BioSharing effort can be found at http://***.

关键词： Community Leader Funding Agency Special Interest Group Panel Discussion Standardization Effort

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An interactive decision support system based on consistency criteria

An interactive decision support system based on consistency ...

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作者： Alonso, S. Cabrerizo, F.J. Chiclana, F. Herrera, F. Herrera-Viedma, E. Department of Software Engineering University of Granada 18071 Granada Spain Centre for Computational Intelligence School of Computing De Montfort University Leicester LEI 9BH United Kingdom Department of Computer Science and Artificial Intelligence University of Granada 18071 Granada Spain

To achieve consistent solutions is an important goal in group decision making problems. However, the expression of preferences is often a very difficult task for the experts, specially in decision problems with a high number of alternatives and when experts use fuzzy preference relations to provide their opinions. This usually leads to situations where experts are not able to properly express all their preferences in a consistent way, that is, without contradiction. In this paper, to overcome this problem, we present a decision support system based on consistency criteria to aid experts to express their fuzzy preference relations in a more consistent way. The system works interactively with the expert by providing him/her recommendations on the preference values that he/she has not yet expressed. These recommendations are computed trying to maintain the expert's consistency level as high as possible. ©2008 Old City Publishing, Inc.

关键词： Decision support systems

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Fast lane detection with Randomized Hough Transform

Fast lane detection with Randomized Hough Transform

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International Symposium on Information Technology, ITSim

作者： Azali Saudi Jason Teo Mohd Hanafi Ahmad Hijazi Jumat Sulaiman Centre for Artificial Intelligence Computer Science Program School of Engineering & Information Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia Computer Graphics Program School of Science & Technology Universiti Malaysia Sabah Kota Kinabalu Malaysia

Lane detection is an essential component of autonomous mobile robot applications. Any lane detection method has to deal with the varying conditions of the lane and surrounding that the robot would encounter while moving. Lane detection procedure can provide estimates for the position and orientation of the robot within the lane and also can provide a reference system for locating other obstacles in the path of the robot. In this paper we present a method for lane detection in video frames of a camera mounted on top of the mobile robot. Given video input from the camera, the gradient of the current lane in the near field of view are automatically detected. Randomized Hough Transform is used for extracting parametric curves from the images acquired. A priori knowledge of the lane position is assumed for better accuracy of lane detection.

关键词： Transforms Roads Pixel Robustness Image edge detection Vehicles Equations

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IMPLEMENTATION OF A LOCALIZATION-ORIENTED HRI FOR WALKING ROBOTS IN THE ROBOCUP ENVIRONMENT

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International Journal of Information Acquisition 2008年第4期5卷 331-347页

作者： RENATO SAMPERIO HUOSHENG HU DONGBING GU Logistics and Production Robotics German Research Centre for Artificial Intelligence Robert-Hooke-Str. 5 28359 Bremen Germany School of Computer Science and Electronic Engineering University of Essex Wivenhoe Park Colchester CO4 3SQ United Kingdom

This paper presents the design and implementation of a human–robot interface capable of evaluating robot localization performance and maintaining full control of robot behaviors in the RoboCup domain. The system consists of legged robots, behavior modules, an overhead visual tracking system, and a graphic user interface. A human–robot communication framework is designed for executing cooperative and competitive processing tasks between users and robots by using object oriented and modularized software architecture, operability, and functionality. Some experimental results are presented to show the performance of the proposed system based on simulated and real-time information.

关键词： Human–robot interface GUI walking robots

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Visualizing Consensus in Group Decision Making Situations

Visualizing Consensus in Group Decision Making Situations

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： S. Alonso E. Herrera-Viedma F.J. Cabrerizo F. Chiclana F. Herrera Software Engineering Department University of Granada Spain Computer Science and Artificial Intelligence Department University of Granada Spain Centre for Computational Intelligence School of Computing De Montfort University Leicester UK

In the resolution of group decision making problems the consensus process, that is, the process where experts discuss about the alternatives to narrow their differences, is usually held with all the experts gathered together in a place where they can speak and discuss about the alternatives in the problem. However, in situations where it is not possible to bring them all together it is usually difficult for the experts to identify the closeness of the opinions of the rest of the experts, and thus, it can be difficult to have a clear view of the current state of the consensus process. In this paper we present a tool that creates consensus diagrams that help experts to easily comprehend the current consensus state in the decision problem. This tool is based on several consistency, consensus and similarity measures and with the application of a clustering algorithm, it identifies and represents the different groups of experts with similar opinions, identifies a possible candidate for spokesperson for each group and easily depicts the consistency level expressed by each one of the experts.

关键词： Visualization Decision making Clustering algorithms Software engineering computer science artificial intelligence Computational intelligence Communications technology Videoconference Electronic mail

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