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Analyzing component-based systems using the self-organizing map

Analyzing component-based systems using the self-organizing ...

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Euromicro conference on Software Engineering and Advanced Applications (SEAA)

作者： H. Verta Nokia Research Center Finland

As the complexity of component-based systems grows and their life cycles shorten, managing and understanding the dynamics and operation of the system at runtime becomes evermore difficult and at the same time more important. It is essential for system engineers to gain comprehensive understanding on not only the static but also the dynamic structure of the system. In this paper, we suggest a novel approach for studying the dynamic structure of a component-based system using the self-organizing map. We extract information about the communication traffic of the system into execution traces. These traces are then parsed and the communication traffic stored into a communication matrix. This matrix is used to construct a self-organizing map to describe the dynamic communication structure of the system.

关键词： data mining Information analysis visualization Context Systems engineering and theory Simple object access protocol TCPIP Software engineering Application software

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Mining and analyzing digital archive usage data to support collection development decisions

Mining and analyzing digital archive usage data to support c...

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IEEE/ACM Joint conference on Digital Libraries(JCDL)

作者： Barry W. Boehm A. Winsor Lam Bo H. Lee Fenny Muliawan Genesan Kim Hsiao-han Huang Hui-hsien Chi Jeffrey Pearson Kristine Guevara Marie Chi Pei-han Li Shing-cheung Chan A. Winsor Brown Edward Colbert Mayur Patel Vu Nguyen Maks Krivokon Johan Bollen Jewel Ward University of Southern California Los Angeles CA USA Old Dominion University Norfolk VA USA

We demonstrate a collection development decision support tool that mines digital archive usage data. We want to better understand the University of Southern California (USC) Digital Archive's collection structure by analyzing the objects' characteristics, by analyzing the relationships between viewed objects, and by understanding usage trends over time. By relying on implicit patterns of usage data, such as co-retrievals, rather than explicit data, such as hit counts, we believe we can make more informed decisions about where to expend our resources

关键词： data mining Software libraries Algorithm design and analysis Graphics Web server data analysis databases visualization Clustering algorithms

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Feature selection for clustering problems: a hybrid algorithm that iterates between k-means and a Bayesian filter

Feature selection for clustering problems: a hybrid algorith...

引用

International conference on Hybrid Intelligent Systems (HIS)

作者： E.R. Hruschka T.F. Covoes N.F.F. Ebecken Federal University of São Carlos Brazil Catholic University of Santos Brazil COPPE Federal University of Rio de Janeiro Brazil

There are two fundamentally different approaches for feature selection: wrapper and filter. It is also possible to combine them, obtaining hybrid approaches. This paper describes a hybrid method for selecting relevant features in clustering problems. The proposed approach is based on the combination of the widely known k-means algorithm and a Bayesian filter, which is based on the Markov Blanket concept. Since the number of clusters and the subset of relevant features are usually inter-related, we propose a method that iterates between clustering (assuming that the number of clusters is not known a priori) and filtering. Experiments in a number of datasets show that the proposed approach allows selecting features that provide good partitions.

关键词： Clustering algorithms Bayesian methods Filters Clustering methods Filtering Supervised learning Text mining Gene expression data analysis data visualization

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Electron microscope tomography of cells and tissues: studying the 3D structure of molecular machines at molecular resolution

Electron microscope tomography of cells and tissues: studyin...

引用

IEEE Computational Systems Bioinformatics conference, CSB Workshops and Poster Abstracts

作者： M. Aucr Lawrence Berkeley Lab. Berkeley CA USA

Despite the large number of protein structures, we know little about their assembly into multi-protein complexes in cells. Such molecular machines are often transient, depend on their cellular environment, and therefore too complex, rare, and fragile to be purified, and therefore unsuitable for most structural techniques. I will illustrate the potential of EM tomography of cells and tissues with an emphasis on hearing machinery. I will describe the difficulties encountered, such as noise, macromolecular crowding and the complexity of the 3D data. I show how we currently overcome these challenges in order to achieve biological interpretations of the 3D cellular sceneries. We are using a variety of image processing analysis tools, mostly provided by others, such as bilateral filtering, gradient-based feature extraction, watershed immersion segmentation. We have started to employ skeletonization schemes to assess differences and similarities between these molecular machines in their respective cellular environment. In order to achieve the ultimate goal of understanding cells and tissues at a truly molecular level, we will need further improvements in automated image segmentation, template matching, as well as pattern recognition. Moreover, we hope to interest the audience in the development of an interactive, virtual reality-like 3D visualization and segmentation program, that may-make scientific analysis of cellular 3D volumes as easy and enjoyable as a video game. (Support: HFSPO (LT-0532); Agouron Institute/Jane Coffin Childs Fund; US-DOE (DE-A C03-76SF00098)).

关键词： Electron microscopy Tomography Image segmentation Proteins Assembly Auditory system Machinery Working environment noise Image processing Image analysis

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A hybrid access model for storage area networks

A hybrid access model for storage area networks

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IEEE/NASA Goddard conference on Mass Storage Systems and Technologies, (MSST)

作者： Aameek Singh K. Voruganti Sandeep Gopisetty D. Pease L. Liu Georgia Institute of Technology USA IBM Almaden Research Center USA

We present HSAN & a hybrid storage area network, which uses both in-band (like NFS (R. Sandberg et al., 1985)) and out-of-band visualization (like SAN FS (J. Menon et al., 2003)) access models. HSAN uses hybrid servers that can serve as both metadata and NAS servers to intelligently decide the access model per each request, based on the characteristics of requested data. This is in contrast to existing efforts that merely provide concurrent support for both models and do not exploit model appropriateness for requested data. The HSAN hybrid model is implemented using low overhead cache-admission and cache-replacement schemes and aims to improve overall response times for a wide variety of workloads. Preliminary analysis of the hybrid model indicates performance improvements over both models.

关键词： Storage area networks Network servers Delay Cache storage File servers Scalability Costs Performance analysis NASA Space technology

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Evaluation of a framework for reverse engineering tool construction

Evaluation of a framework for reverse engineering tool const...

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International conference on Software Maintenance (ICSM)

作者： T. Panas M. Staron Software Technology Group Vaxjo University Vaxjo Sweden School of Engineering Blekinge Institute of Technology Ronneby Sweden

This paper describes an experiment of rapidly constructing reverse engineering tools from predefined components/tools. We perform two ways of construction. The first uses ad-hoc composition. The second exploits a framework design to support the customization of reverse engineering tools. We evaluate the quality of the assembled tools and their assembling time for each approach. For this, we describe in this paper briefly our framework, the metrics chosen for quality measurement based on the GQM approach, the experiment itself and our results. The paper gives empirical evidence that framework customization, here using the VizzAnalyzer framework, is superior to ad-hoc composition.

关键词： Reverse engineering Assembly visualization Libraries Software tools Software maintenance Software systems Costs Performance analysis data conversion

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Enriching Literature Reviews with Computer-Assisted Research Mining. Case: Profiling Group Support Systems Research

Enriching Literature Reviews with Computer-Assisted Research...

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Annual Hawaii International conference on System Sciences (HICSS)

作者： Johanna Bragge Sami Relander Anne Sunikka Petri Mannonen Helsinki School of Economics Finland Helsinki University of Technology Finland

In this paper we discuss and demonstrate how traditional literature reviews may be enriched by computer-assisted research profiling. Research profiling makes use of sophisticated text mining tools designed for structured science and technology information resources, such as the ISI Web of science, INSPEC or ABI/INFORM ProQuest. Besides aiding in summarizing and visualizing knowledge domains, these research mining tools act as interactive decision support systems for researchers. We illustrate research profiling with 2.000 publications on group support systems between years 1982-2005

关键词： Collaborative software Text mining data visualization Information systems Assembly systems Libraries Search engines Abstracts Visual databases Information analysis

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Design of a multiple-point wireless remote data acquisition system for mobile applications

Design of a multiple-point wireless remote data acquisition ...

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International conference on Electronics, Communications and Computers (CONIELECOMP)

作者： J.P. Talledo J.C. Miranda Research Center for Automotive Mechatronics ITESM-Campus Toluca Mexico

In the design of vehicles of public transport as much as private, it is important to know the real load properties which are put under the vehicle. Although typical load histories are available, these files were obtained in other countries where the conditions of the ways and the operation of the vehicles are very different. In order to be able to obtain histories of loads in the conditions of our country, a system based on a wireless sensing modules network has been developed to measure deformations, temperature and accelerations in multiple points of the vehicle in real time. The obtained data of each sensor is prepared, processed, stored and transmitted in time intervals towards a receiver, which is in charge to send them to a Internet server for its storage, visualization and analysis for any user connected to the network who have accessibility to the collected information and can make the pertinent procedures and actions. In this work the design of the instrumentation system is based on a wireless sensing modules network and it uses the GPRS protocol which is based on GSM cellular technology, permitting us to send all the data received from each wireless module to the server host.

关键词： data acquisition Vehicles Wireless sensor networks History Temperature measurement Network servers Temperature sensors Acceleration Real time systems IP networks

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Multisensor fusion for volumetric reconstruction of large outdoor areas

Multisensor fusion for volumetric reconstruction of large ou...

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International conference on 3D Imaging, Modeling, Processing, visualization and Transmission (3DIMPVT)

作者： M. Fiocco G. Bostrom J.G.M. Goncalves V. Sequeira European Commissio Joint Research Centre Ispra Varese Italy

This paper presents techniques for the merging of 3D data coming from different sensors, such as ground and aerial laser range scans. The 3D models created are reconstructed to give a photo-realistic scene enabling interactive virtual walkthroughs, measurements and scene change analysis. The reconstructed model is based on a weighted integration of all available data based on sensor-specific parameters such as noise level, accuracy, inclination and reflectivity of the target, spatial distribution of points. The geometry is robustly reconstructed with a volumetric approach. Once registered and weighed, all data is re-sampled in a multi-resolution distance field using out-of-core techniques. The final mesh is extracted by contouring the iso-surface with a feature preserving dual contouring algorithm. The paper shows results of the above technique applied to Verona (Italy) city centre.

关键词： Layout Merging Laser fusion Laser modes Laser noise Noise level Reflectivity Geometry Noise robustness data mining

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2D/3D non-rigid registration of volumetric CT lung data using thin-plate spline

2D/3D non-rigid registration of volumetric CT lung data usin...

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International conference on e-health Networking, Applications and Services (HealthCom)

作者： J. Kim H. Park Digital Ocean & Virtual Environment Center Korea Ocean Research and Development Institute South Korea Computer Graphics & Visualization Laboratory Information and Communications University South Korea

In the medical image analysis for the human organs, non-rigid registration is necessary to properly register the local deformation. Especially for the dynamic organs like a heart and lungs, it is essential to process the registration method in three-dimensional space to track their through-plane motion. In this paper, we suggest the 2D/3D non-rigid registration method based on the corresponding anatomical landmarks using thin-plate spline (TPS). By extending two-dimensional TPS, we developed 3D TPS and computed its bending energy function to register the local deformations of the volumetric time-varying lung CT data. Our experimental results show that our method is suitable for handling volumetric deformation with a small number of anatomical landmarks.

关键词： Lungs Spline Biomedical imaging Computed tomography Humans Image registration Oceans Registers Heart Tracking

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