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International Conference on Intelligent Systems Design and Applications (ISDA)

作者： Maria Antonina Mach M. Salem Abdel-Badeeh Faculty of Management Computer Science and Finance University of Economics Wroclaw Poland Department of Computer Science Head of Medical Informatics and Knowledge Engineering Research Unit Faculty of Computer and Information sciences Ain Shams University Cairo Egypt

Business intelligence is a new methodology to maximize the benefits for healthcare organization Business intelligence provides an integrated view of data that can be used to monitor, key performance indicators, identify hidden patterns in diagnosis and identify variations in cost factors. Intelligent techniques provide an effective computational methods and robust environment for business intelligence in the healthcare domain. From the technical point of view, healthcare based business intelligence systems, are complex to build, maintain and face the knowledge-acquisition difficulty. Efficiency of such systems is determined by the efficiency of the intelligent techniques and methodologies. This paper discusses AI based techniques and approaches which are used in such systems namely; expert systems, data mining and grid computing.

关键词： Medical services Bismuth Expert systems Data mining Organizations

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Investigation of the spatial spectrum of cortical contours on cross-sections of the brain

Investigation of the spatial spectrum of cortical contours o...

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10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010

作者： Graichen, Uwe Eichardt, Roland Güllmar, Daniel Haueisen, Jens Ilmenau University of Technology Faculty of Computer Science and Automation Institute of Biomedical Engineering and Informatics P.O. Box 100565 98684 Ilmenau Germany Jena University Hospital Department of Diagnostic and Interventional Radiology Medical Physics Group Philosophenweg 3 07743 Jena Germany

ISBN: (纸本)9781424465606

The human brain possesses a highly structured surface. A quantitative examination of the cortical surface is of particular interest for many questions, e.g. the investigation the relation between the spatial frequencies of cortical surfaces and spatial frequencies within Electroencephalogram and the analysis of changes of the structure of the human brain caused by diseases. In this paper a Fourier analysis approach to investigate the spatial spectrum of contour data of the cortical surface is introduced. The method was validated using artificial data with known spatial spectrum and employed to investigate the spatial frequencies of the cortical surface of a human subject. © 2010 IEEE.

关键词： Fourier analysis

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Fluctuated peer selection policy and its performance in large-scale multi-agent systems

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Web Intelligence and Agent Systems 2010年第3期8卷 255-268页

作者： Sugawara, Toshiharu Fukuda, Kensuke Hirotsu, Toshio Sato, Shin-Ya Akashi, Osamu Kurihara, Satoshi Dept. of Computer Science and Engineering Waseda University Shinjuku Tokyo 169-8555 Japan National Institute of Informatics Chiyoda Tokyo 101-8430 Japan NTT Network Innovation Laboratories Musashino Tokyo 180-8585 Japan Faculty of Information Science Hosei University Koganei Tokyo 184-8584 Japan Institute of Scientific and Industrial Research Osaka University Osaka 567-0047 Japan

This paper describes how, in large-scale multi-agent systems, each agent's adaptive selection of peer agents for collaborative tasks affects the overall performance and how this performance varies with the workload of the system and with fluctuations in the agents' peer selection policies (PSP). An intelligent agent in a multi-agent system (MAS) often has to select appropriate agents to assign tasks that cannot be executed locally. These collaborating agents are usually chosen according to their skills. However, if multiple candidate peer agents still remain a more efficient agent is preferable. Of course, its efficiency is affected by the agent' workload and CPU performance and the available communication bandwidth. Unfortunately, as no agent in an open environment such as the Internet can obtain such data from any other agent, this selection must be done according to the available local information about the other known agents. However, this information is limited, usually uncertain and often obsolete. Agents' states may also change over time, so the PSP must be adaptive to some extent. We investigated how the overall performance of MAS would change under adaptive policies in which agents selects peer agents using statistical/reinforcement learning. We particularly focused on mutual interference for selection under different workloads, that is, underloaded, near-critical, and overloaded situations. This paper presents simulation results and shows that the overall performance of MAS highly depends on the workload. It is shown that when agents' workloads are near the limit of theoretical total capability, a greedy PSP degrades the overall performance, even after a sufficient learning time, but that a PSP with a little fluctuation, called fluctuated PSP, can considerably improve it. © 2010 - IOS Press and the authors. All rights reserved.

关键词： Multi agent systems

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engineering for industrial robots in content based virtual space

Engineering for industrial robots in content based virtual s...

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IEEE International Workshop on Robotics in Alpe-Adria-Danube Region (RAAD)

作者： László Horváth Imre J. Rudas Karel Jezernik Institute of Intelligent Engineering Systems John von Neumann Faculty of Informatics Buddha University Budapest Hungary Institute of Robotics Faculty of Electrical Engineering and Computer Science University of Maribor Maribor Slovenia

One of the main recent achievements in engineering is description of complex products and their physical environment in a single object model. This model has capabilities to serve engineering from the first specification of a product to recycling. New research programs were needed in order to establish a new style of engineering where engineers communicate model creation and application procedures. The authors joined to these efforts and developed new modeling methods for the above purpose. In this paper they introduce some of these methods considering needs by the complex and knowledge intensive engineering for robot systems. Paper starts with an outline of application of virtual spaces in robot system modeling. Following this, a content based contextual object definition is explained considering robotic application. Next, application of human control by contextual spaces for adaptive definition of engineering objects and the related control of product definition are shown. Finally, object space for robot system is outlined as application related issue of the proposed modeling.

关键词： Aerospace industry Service robots Orbital robotics Recycling Knowledge engineering Systems engineering and theory Modeling Humans Programmable control Adaptive control

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Business Rules Discovery from Process Design Repositories

Business Rules Discovery from Process Design Repositories

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IEEE World Congress on Services (SERVICES)

作者： Jantima Polpinij Aditya K. Ghose Hoa Khanh Dam Decision Systems Laboratory (DSL) School of Computer Science and Software Engineering (SCSSE) Faculty of Informatics University of Wollongong Wollongong NSW Australia

Traditional process mining approaches focus on extracting process constraints or business rules from repositories of process instances. In this context, process designs or process models tend to be overlooked although they contain information that are valuable for the process of discovering business rules. This paper will propose an alternative approach to process mining in terms of using process designs as the mining resources. We propose a number of techniques for extracting business rules from repositories of business process designs or models, leveraging the well-known Apriori algorithm. Such business rules are then used as a prior knowledge for further analysing, verifying, and modifying process designs.

关键词： Process design Association rules Algorithm design and analysis Organizations Logic gates

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Composition challenges and approaches for cyber physical systems

Composition challenges and approaches for cyber physical sys...

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IEEE International Conference on Networked Embedded Systems for Enterprise Applications

作者： Kaiyu Wan Danny Hughes Ka Lok Man Tomas Krilavičius Computer Science and Software Engineering Xi'an Jiaotong-Liverpool University Suzhou China Informatics Faculty Vytautas Magnus University Kaunas Lithuania

A wide variety of programming abstractions have been developed for cyber-physical systems. These approaches provide support for the composition of cyber-physical systems from generic units of application functionality. This paper surveys the current state-of-the-art in composition mechanisms for cyber physical systems and reviews each approach in terms of its support for composition analysis, re-use and adaptation. We then review approaches for modeling and verifying cyber-physical application compositions and conclude by proposing promising research directions that will address these shortcomings.

关键词： Analytical models Semantics Computational modeling Algebra Automata Software Java

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An experimental analysis of biased parallel greedy approximation for combinatorial auctions

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International Journal of Intelligent Information and Database Systems 2010年第5期4卷 487-508页

作者： Fukuta, Naoki Ito, Takayuki Department of Computer Science Faculty of Informatics Shizuoka University 3 5 1 Johoku Nakaku Hamamatsu 4328011 Japan Department of Computer Science and Engineering Graduate School of Engineering Nagoya Institute of Technology Gokisocho Showa Nagoya 4668555 Japan

Considering emerging demands for auction based efficient resource allocations, the ability to complete an auction within a fine-grained time period without loss of allocation efficiency is in strong demand. Recently, an algorithm has been proposed to obtain near-optimal solutions for winner determination problem on combinatorial auctions within a very short computation time. However, it is demanded to analyse and clarify the main factor of such an excellent performance of the algorithm. Also, for practical use, there are demands to clarify the actual implementation-level performance of the algorithm compared to major commercial-level generic problem solvers. In this paper, we show an analysis about performance issues of biased parallel greedy updating approach in various experimental settings. Furthermore, we show that the algorithm has a certain advantage to solve a kind of large-size high-complexity problems when it is compared to a latest commercial-level implementation of generic LP solver through various experiments. © 2010 Inderscience Enterprises Ltd.

关键词： Approximation algorithms

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Image fusion for classification of high resolution images based on mathematical morphology

Image fusion for classification of high resolution images ba...

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IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)

作者： Frosti Palsson Johannes R. Sveinsson Jon Atli Benediktsson Henrik Aanaes Faculty of Electrical and Computer Engineering University of Iceland Reykjavik Iceland Department of Informatics and Mathematical Modelling Technical University of Denmark Lyngby Denmark

Classification of high resolution urban remote sensing imagery is addressed. The classification is done by both considering the panchromatic imagery and the multi-spectral image obtained using the spectrally consistent fusion method introduced in [1]. The data are classified using support vector machines (SVM). To further enhance the classification accuracy, mathematical morphology is used to derive local spatial information from the panchromatic data. In particular we use the Morphological Profile (MP) in classification of satellite imagery as was proposed in [2, 3]. We also use the derivative of the MP (DMP). In the majority of the image fusion (pansharpening) techniques proposed today, there is a compromise between the spatial enhancement and the spectral consistency. By comparing classification results obtained by using our model based scheme [1] to results obtained using the IHS and Brovey fusion methods, we find that spectrally consistent data give better results when it comes to classification.

关键词： Pixel Support vector machines Image fusion Image resolution Accuracy Satellites Shape

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Detection of Image Fragments Related by Affine Transforms: Matching Triangles and Ellipses

Detection of Image Fragments Related by Affine Transforms: M...

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International Conference on Information Science and Applications (ICISA)

作者： Mariusz Paradowski Andrzej Śluzek Nanyang Technological University Institute of Informatics Poland School of Computer Engineering Faculty of Physics Astronomy and Informatics Nanyang Technological University Singapore Wroclaw University of Technology Poland Faculty of Physics Singapore Nicolaus Copernicus University Poland

Visual information retrieval systems are often constructed upon the notion of image similarity. The concept of image similarity may be defined in many ways: from a pure visual level, where we seek identical images, to a semantic level related with human perception the image. In our research we address the first approach, we explore topics of image matching (image alignment), however in terms of image fragments. The goal of image fragment matching is to find similar parts of two images, without a given model of particular objects present on images. It is also assumed that the number of similar objects (image fragments) is not known. In this paper we present a novel method for image fragment matching. It uses two ellipse pairs as an elementary object for image geometry reconstruction. The method is an extension of the previously proposed approach based on triangles. We have decided to replace triangles with a different geometrical structure to reduce computational complexity from O(n 3 ) to O(n 2 ), where n is the number of coherent key regions. We discuss and compare both matching methods both in terms of quality and processing efficiency.

关键词： Image retrieval Image matching Image reconstruction Space technology Computational complexity Layout Physics computing informatics Information retrieval Geometry

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Multimedia ICT in vocational training

Multimedia ICT in vocational training

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作者： Podhradský, Pavol Trúchly, Peter Zeman, Tomáš Hrad, Jaromír Department of Telecommunications Faculty of Electrical Engineering and Information Technology Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia Institute of Computer Systems and Networks Faculty of Informatics and Information Technologies Slovak University of Technology Ilkovičova 3 812 19 Bratislava Slovakia Department of Telecommunications Faculty of Electrical Engineering Czech Technical University Technická 2 CZ-166 27 Prague 6 Czech Republic

ISBN: (纸本)9789537044114

The paper presents the main ideas of two Leonardo da Vinci (LdV) projects focused on the vocational training. The selected outputs of these projects are presented in more details. The conception of the multilingual terminological dictionary and proposed graphical user interface is also presented in the paper. An example of practical exercises in the area of NGN protocols based on remote access to NGN Lab is described and illustrated.

关键词： Graphical user interfaces

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