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共 316 条记录，以下是281-290 订阅

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Visualizing changes in data collections using growing self-organizing maps

Visualizing changes in data collections using growing self-o...

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International Joint conference on Neural Networks (IJCNN)

作者： A. Nurnberger M. Detyniecki Computer Science Division Berkeley University of California at Berkeley EECS CA USA Computer Science Division Berkeley University of California at Berkeley EECS Berkeley CA USA

A. Nu/spl uml/rnberger (2001) has proposed a modification of the standard learning algorithm for self-organizing maps that iteratively increases the size of the map during the learning process by adding single neurons. The main advantage of this approach is the automatic control of the size and topology of the map, thus avoiding the problem of misclassification because of an imposed size. In this paper, we discuss how this algorithm can be used to visualize changes in data collections. We illustrate our approach with some examples.

关键词： data visualization Self organizing feature maps Topology Information retrieval Information analysis data structures Computer science Iterative algorithms Electronic switching systems Neurons

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PDH: a human-centric interface for image libraries

PDH: a human-centric interface for image libraries

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IEEE International conference on Multimedia and Expo (ICME)

作者： B. Moghaddam Qi Tian N. Lesh Chia Shen T.S. Huang Beckman Institute University of Illinois Urbana-Champaign IL USA Mitsubishi Electric Research Laboratory Cambridge MA USA

We present visualization and layout algorithms that can enhance informal story-telling using personal digital data such as photos in a face-to-face social setting. In order to build a more intuitive browser for retrieval, navigation and story-telling, we introduce a novel optimized layout technique for large image sets, which respects (context-sensitive) mutual similarities as visualized on a shared 2-D display (a table-top). The experimental results show a more perceptually intuitive and informative visualization of traditional CBIR-based retrievals, providing not only a better understanding of the query context but also aiding the user informing new queries. A framework for user-modeling is also introduced and tested. This allows the system to adapt to the user's preference and integrate relevance feedback.

关键词： Libraries User interfaces data visualization Image retrieval Navigation Algorithm design and analysis Computer interfaces Computer displays Prototypes Laboratories

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Development and deployment of a multi-component Advanced Process Control system for an epitaxy tool

Development and deployment of a multi-component Advanced Pro...

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IEEE/SEMI conference and Workshop on Advanced Semiconductor Manufacturing

作者： J. Moyne V. Solakhian A. Yershov M. Anderson D. Mockler-Hebert Brooks Automation Inc. Chelmsford MA USA Fairchild Semiconductor Corporation South Portland ME USA

A multi-component Advanced Process Control (APC) system has been developed and deployed for an Applied Materials vapor phase epitaxy tool at Fairchild Semiconductor. The system, which is fully automated, operates on a SEMI APC framework compliant platform, supports the plug-and-play of multiple APC applications ("plug-ins"), and has configurable control rules that allow the user to specify not only how each APC application will be utilized, but also how the APC applications will interact in a complementary fashion. The current system contains real-time data visualization, run-to-run control (R2R), and fault detection and classification (FDC) plug-ins. The data visualization component is currently being utilized for real-time visual monitoring of aspects of equipment health. The R2R component includes a multivariate algorithm and is being used to provide multi-zone control of deposition thickness and resistivity. The FDC component will gather the in-process data from the tool to automatically determine equipment health and classify faults in order to reduce mean time to repair. In this paper, the methodology used to deploy and configure this APC system is described. data is provided illustrating the use of each of these APC capabilities individually and in complementary fashion. data analysis is included that focuses on the benefits of utilizing these capabilities, benefits such as improved equipment reliability, improved overall equipment effectiveness and yield. The paper also includes a discussion of the benefits and issues associated with the complementary utilization of multiple APC components in an open architecture framework.

关键词： Process control Epitaxial growth Automatic control Control systems data visualization Semiconductor materials Real time systems Fault detection Monitoring Thickness control

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analysis of gene expression data by using self-organizing maps and k-means clustering

Analysis of gene expression data by using self-organizing ma...

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International Joint conference on Neural Networks (IJCNN)

作者： A. Sugiyama M. Kotani Graduate School of Science and Technology Kobe University Hospital Kobe Japan Faculty of Engineering Kobe University Hospital Kobe Japan

There is a growing need for a method to analyze massive gene expression data obtained from DNA microarrays. We introduce a method of combining a self-organizing map (SOM) and a k-means clustering for analyzing and categorizing the gene expression data. The SOM is an unsupervised neural network learning algorithm and forms a mapping the high-dimensional data to two-dimensional space. However, it is difficult to find clustering boundaries from results of the SOM. On the other hand, the k-means clustering can partition the data into the clusters under the assumption of the known number of clusters. In order to understand easily the results of SOM, we apply the k-means clustering to finding the clustering boundaries from results of SOM. We have applied the proposed method to the published data of yeast gene expression and show that the method is effective for categorizing the data.

关键词： Gene expression Self organizing feature maps DNA Clustering algorithms Fungi Robustness data visualization Prototypes data engineering Partitioning algorithms

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A vertical image as a means to improve air traffic control in extended TMA

A vertical image as a means to improve air traffic control i...

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conference on Digital Avionics Systems (DASC)

作者： R. Benhacene Centre d'Etudes de la Navigation Aérienne Toulouse France

This paper describes a new working environment that has been designed for terminal sectors (E-TMA). An initial description of the characteristics of such sectors is given. An analysis of the tasks of controllers and their corresponding bottlenecks is made. The new environment proposes solutions to address these difficulties. The first result is an interface, called VertiDigi, dedicated to arrival sectors. It consists of a vertical representation of traffic on a touch sensitive screen, which serves as a visualization and input device in lieu of the paper strips board. Discussion of the underlying concepts and the potential advantages of the new interface follows. Several advantages are given, but moreover, the proposed environment can be used as a framework for the implementation of both new methods for control in these sectors (sequencing, work sharing and work load management through preparation), but also the capturing of concepts such as data-link or ASAS spacing.

关键词： Air traffic control Airports visualization Aircraft Navigation Strips Load management Environmental management Guidelines Performance analysis

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An extensible tool for source code representation using XML

An extensible tool for source code representation using XML

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Working conference on Reverse Engineering

作者： G. McArthur J. Mylopoulos Siu Kee Keith Ng Department of Computer Science University of Toronto Toronto Canada

One of the problems facing software re-engineering projects is the fact that program source code is invariably stored in ASCII plain text format. This format doesn't reflect the underlying structure of the program. Consequently, software re-engineering or code migration tools need to unearth this structure. This paper explores the possibility of adopting XML format to represent program structure for software systems, and describes a tool, the XMLizer, which has been implemented to support the transformation of software programs from ASCII plain text format to XML. In addition, the XMLizer allows variable-depth marking up of program structure by using a multi-weight parsing technique. The XMLizer currently supports three languages, Java, PL/IX and Pascal, and can be extended to support others. The performance of the XMLizer in converting PL/IX programs into XML was tested. XMLized output is accessible through an abundance of existing XML tools that can support both analysis and visualization tasks.

关键词： XML Java Markup languages Computer science Educational institutions Software systems Software tools Testing data visualization Equations

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PCA: Simulating erroneous equations for error-visualization

PCA: Simulating erroneous equations for error-visualization

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International conference on Computers in Education

作者： T. Horiguchi T. Hirashima Faculty of Information Engineering Kobe University of Mercantile Marine Kobe Japan Department of Artificial Intelligence Kyushu Institute of Technology Fukuoka Japan

This paper presents the method of simulating the simultaneous equations which are over/under-constrained by the learner's misconception (partial constraint analysis: PCA). It can deal with arbitrary linear differential and/or algebraic equations with erroneous parts which preserve linearity. The procedure is as follows: (1) to generate the network which describes the constraints among the variables in equations (causal relation network: cn); (2) to abstract the subgraphs in which variables can be calculated (executed) independently of the rest (partial causal chains: pc); (3) to enumerate the combinations of pces which can be executed simultaneously; and (4) to execute the selected combination by supplying the driving data exogenously for simulating the behavior of the erroneous system. An example of application to a simple electric circuit is also presented.

关键词： Principal component analysis Differential algebraic equations Linearity Analytical models Circuit simulation Artificial intelligence Marine technology Partial differential equations Sections Redundancy

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Head and neck multimodality volumes visualization methods

Head and neck multimodality volumes visualization methods

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： W. Sibomana J.-F. Daisne A. Bol M. Lonneux V. Gregoire C. Michel PET Laboratory Université Catholique de Louvain Louvain-La-Neuve Belgium St-Luc Hospital Université Catholique de Louvain Brussels Belgium St-Luc Hospital Nuclear Medicine Department Université Catholique de Louvain Brussels Belgium St-Luc Hospital Radiation Oncology Department Université Catholique de Louvain Brussels Belgium

This paper describes design strategies and algorithms which have been developed for visualization. registration, Volume of Interest (VoI) definition and measurements on multimodality single subject head and neck CT, MR, PET and surgical tumor specimen images. This work was part of a project that measured the usefulness of MR and PET images in three-dimensional radiotherapy treatment planning which was originally based only on CT images. The VoIs. which could be defined on any of the registered volume. were exported with the CT images to the treatment planning system, using DICOM. The major problem was the handling of large datasets with big differences in FOV and voxel sizes. We used object-oriented design and C++ programming language to develop object classes and methods for efficient data management. We used the eXtensible Markup Language (XMEL) standard to save the registration transformers and the VoIs. The registered volumes were resliced on the fly for visualization or VoI statistical information computing. Therefore, we avoided creation of large resliced dataset files. We used the new classes to extend two existing applications: interactive registration and RoI drawing. The paper describes: (i) the data handling problems.. (ii) the developed objects relationship and methods and (iii) the two applications.

关键词： Neck visualization Computed tomography Head Positron emission tomography Algorithm design and analysis Volume measurement Surgery Neoplasms DICOM

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Scalable monitoring and configuration tools for grids and clusters

Scalable monitoring and configuration tools for grids and cl...

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Euromicro conference on Parallel, Distributed and Network-Based Processing

作者： P. Augerat C. Martin B. Stein INPG ID laboratory Grenoble France BULL INRIA ID laboratory Grenoble France Universidade Federal de Santa Maria Santa Maria Brazil

ISBN: (纸本)0769514448

We present the Ka-admin project that addresses the problem of collecting, visualizing and feeding back any grid information, trace or snapshot, compliant to an XML-like model. Real use includes performance analysis of parallel applications and cluster administration. Ka-admin includes a generic "filter" module that processes monitored data independently of what they represent. Filters can remove, aggregate and transform data or pass them to external applications. The end user is responsible for activating the filters from within an interactive graphical interface. This allows him to focus on important information. We also present a "scatter/gather" module that allows efficient collection and distribution of data and commands in a large cluster. Early work on "MPI/threads" applications and system monitoring tools proved that the combination of both modules matches the objective of a scalable visualization of large data sets.

关键词： Computerized monitoring data visualization Laboratories Filters High performance computing Application software Scalability Performance analysis Aggregates Computer architecture

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Three-dimensional reconstruction of rat brain from autoradiographic images using image registration by maximization of mutual information

Three-dimensional reconstruction of rat brain from autoradio...

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IEEE Symposium on Nuclear Science (NSS/MIC)

作者： Jae Sung Lee Jin Su Kim Dong Soo Lee Kwang Suk Park Department of Radiology Division of Nuclear Medicine Johns Hopkins University School of Medicine Baltimore MD USA Department of Nuclear Medicine College of Medicine Seoul National University Seoul South Korea Department of Biomedical Engineering College of Medicine Seoul National University Seoul South Korea

ISBN: (纸本)0780376366

Autoradiographic image analysis is a powerful and dominantly used method for the quantitative analysis of radioisotope distribution in small animals. Three-dimensional reconstruction of the brain from serial sections of autoradiographic images allows volumetric visualization and analysis, coregistration with other 3D modalities, and anatomical standardization. We implemented an operating system and platform independent software in which the 3D reconstruction of the rat brain from the autoradiographic images using the image registration technique is possible. Image registration and a 3D reconstruction technique developed in this study would be useful for the quantitative analysis of the autoradiographic images.

关键词： Image reconstruction Image registration Mutual information Image analysis Biomedical imaging Animals Nuclear medicine Telephony Positron emission tomography data mining

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