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data FARMING IN SINGAPORE: A BRIEF HISTORY 08

DATA FARMING IN SINGAPORE: A BRIEF HISTORY

引用

Winter Simulation conference (WSC 2008)

作者： C. S. Choo E. C. Ng Dave Ang C. L. Chua DSO National Laboratories Singapore

ISBN: (纸本)9781424427086

This paper gives a summary of Singapore's involvement in data Farming since 2002, tracing the country's progression from basically "zero" to a key partner in the International data Farming community. It highlights how the data Farming methodology, coupled with efficient experiment designs, visualization concepts, and evolutionary algorithms, has helped to extend the analytical capability of conducting studies and experiments. The paper also described some past and current Research and Development (R&D) projects inspired by the ideas shared among this highly interactive and dynamic international community. These include Systematic data Farming (SDF), Automated Red Teaming (ART), Automated Co-Evolution (ACE), and modeling the effects of human intangibles. Last but not least, the way forward for Singapore in data Farming is discussed.

关键词： History Evolutionary computation Algorithm design and analysis Research and development Computational modeling Laboratories data visualization Humans High performance computing Operations research

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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...

引用

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...

引用

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

引用

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

引用

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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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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A posture monitoring system using accelerometers

A posture monitoring system using accelerometers

引用

Canadian conference on Electrical and Computer Engineering (CCECE)

作者： R.J. Nevins N.G. Durdle V.J. Raso Dept of Electrical & Computer Engineering University of Alberta Canada Glenrose Rehabilitation Site Captial Health Authority Rehabiliation Technology Canada

A new method of monitoring spinal posture in the sagittal plane is presented. Posture is measured during activities of daily living utilizing accelerometer inclinations of six points along a subject's spine. The over sampled, low frequency filtered data can be monitored and collected over extended periods (up to four weeks) utilizing the inexpensive, low-power, portable data logger developed in the course of this research. The data logger utilizes 7 processors to collect and store data onto an MS-DOS formatted CompactFlash card for later analysis. Two trials were done: regimented postures across a one hour period and unregimented activities during a five hour period. data was then visualized graphically and compared to noted postures and activities. The system was designed to be accurate to within /spl plusmn/0.5/spl deg/. Measured precision was found to be within /spl plusmn/0.39/spl deg/. This system will be useful for monitoring changes in back curvature resulting from surgery or treatment.

关键词： Accelerometers Sensor phenomena and characterization Computerized monitoring Gravity Mechanical sensors Back Stress Satellites Assembly data visualization

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Visual analysis of Key Core Technologies Research Hotspots and Trends Based on CiteSpace

Visual Analysis of Key Core Technologies Research Hotspots a...

引用

International conference on Big data and Artificial Intelligence (BDAI)

作者： Zhen Zhong Aihua Yang School of Military and Political Basic Education National University of Defense Technology Changsha China

ISBN: (数字)9798350352009

ISBN: (纸本)9798350352016

This article reviews 564 articles on China National Knowledge Infrastructure and 1551 articles on Web of Science from 2002 to 2024 under the theme of Key Core Technologies. Using CiteSpace bibliometric analysis software, the keywords, authors, and institutions of Chinese and foreign literature are visualized and analyzed, summarizing the current research status of key core technologies and assessing future research trends. The research results indicate that the hot topics in domestic and foreign literature are focused on the classification of key core technologies, the application of key core technologies in industrial transformation and upgrading, and path breakthroughs. The core technological breakthroughs in areas such as digital transformation, artificial intelligence, and big data in the future will be a key research topic in related fields.

关键词： Knowledge engineering visualization Reviews Digital transformation Bibliometrics Big data Market research Software

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Head and neck multimodality volumes visualization methods

Head and neck multimodality volumes visualization methods

引用

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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Software quality analysis with the use of computational intelligence

Software quality analysis with the use of computational inte...

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IEEE International conference on Fuzzy Systems (FUZZ-IEEE)

作者： M. Reformat W. Pedrycz N.J. Pizzi University of Alberta Edmonton AB Canada National Research Council Winnipeg MAN Canada

Effectiveness and clarity of software objects, their adherence to coding standards and programming habits of programmers are important features of overall quality of software systems. This paper proposes an approach towards a quantitative software quality assessment with respect to extensibility, reusability, clarity and efficiency. It exploits techniques of Computational Intelligence (CI) that are treated as a consortium of granular computing, neural networks and evolutionary techniques. In particular, we take advantage of self-organizing maps to gain a better insight into the data, and study genetic decision trees-a novel algorithmic framework to carry out classification of software objects with respect to their quality. Genetic classifiers serve as a "quality filter" for software objects. Using these classifiers, a system manager can predict quality of software objects and identify low quality objects for review and possible revision. The approach is applied to an object-oriented visualization-based software system for biomedical data analysis.

关键词： Software quality Software systems Genetics Software standards Programming profession Computational intelligence Computer networks Neural networks Self organizing feature maps Decision trees

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