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18th National Biomedical Engineering Meeting (BIYOMUT)

作者： Dilmac, Selim Korurek, Mehmet Istanbul Tech Univ Fen Bilimleri Enstitusu Maslak Sariyer Is Turkey

ISBN: (纸本)9781479975723

In this study, Artificial Bee Colony (ABC) algorithm based classifier is used. Also, in order to improve the effectiveness of ABC algorithm, some modifications are done. New method is called MABC algorithm. Both methods are applied on various real life data sets such as IRIS, WINE, PIMA, BUPA, ECG and results are compared. Those datasets are obtained from UCI Machine Learning Repository and MITBIH ECG database. In addition to it, validity indices and effects of some control parameters such as MCN, Limit are examined. It is observed that, selected features have significiant effect on classification success rate of classifier. If there is high overlap between the classes, success rate of classifier decreases. However observed results indicate that ABC algorithm can successfully be used for classification of multi dimensional datasets. By means of SCTR control parameter, MABC algorithm based classifier provides higher classification success rates versus ABC algorithm, independent from Limit and MCN values.

关键词： classification data analysis electrocardiography feature extraction feature selection learning (artificial intelligence) medical information systems medical signal processing signal classification swarm intelligence ABC algorithm effectiveness BUPA IRIS MABC algorithm based classifier MCN parameter MITBIH ECG database PIMA SCTR control parameter UCI Machine Learning Repository WINE analysis algorithm artificial bee colony algorithm based classifier class overlap classification algorithm classification success rate control parameter effect feature effect limit parameter multidimensional dataset classification validity index Classification algorithms Educational institutions Electrocardiography Indexes Iris Machine learning algorithms Particle swarm optimization Feature extraction Sorting algorithm Electrocardiography Particle swarm optimization Wine medical information systems control parameter INTEGRATED RISK INFORMATION SYSTEM Machine learning algorithms medical signal processing signal classification Educational institutions Classifiers activity based costing Iris

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Software-hardware Interaction analysis Based on Petri Net

Software-hardware Interaction Analysis Based on Petri Net

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26th Chinese Control and Decision Conference (CCDC)

作者： Yi Zhaoxiang Mu Xiaodong Zhao Peng Yi Yaqiao Xian Res Inst Hitech Hongqing Town Xian 710025 Peoples R China

ISBN: (纸本)9781479937066

As software and hardware have grown in functionality and complexity, the existing computer systems are confronting serious challenges with safety, dependability and reliability. Being one of the primary causes with responsibility for these challenges, the software-hardware interaction is advanced and widely studied in recent years. Unfortunately, none of the state-of-art researches has achieved widespread applicability in analyzing software-hardware interaction. Due to a lack of general model to describe the process, we present a software-hardware interaction model based on Petri Net(SHIPN), and also propose the systemic analysis method and process for software-hardware interaction. Indicating as a six-ttiple Petri Net, SHIPN is a logic model of system events, and denote the cause and effect between the software events and hardware events, as well as the process of system events. Especially. SHIPN has non-conflict, non-collision and non-competition of resources, and is essentially different from the traditional Petri Net. Subsequently, we define formalized software-hardware interaction events on the basis of SHIPN, and designed an analysis algorithm based on the incident matrix to deduce causations and propagation paths of each software-hardware interaction. An application case in the communication control system demonstrates that SHIPN is an accurate and practicable model, and the proposed method provides an effective approach to analyze software-hardware interaction.

关键词： Software-hardware Interaction Petri Net Propagation Process analysis algorithm Communication Control System

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Software-hardware Interaction analysis Based on Petri Net

Software-hardware Interaction Analysis Based on Petri Net

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第26届中国控制与决策会议

作者： YI Zhaoxiang MU Xiaodong ZHAO Peng YI Yaqiao Xi'an Research Institute of Hi-Tech Hongqing Town Hunan University of Chinese Medicine

As software and hardware have grown in functionality and complexity, the existing computer systems are confronting serious challenges with safety, dependability and reliability. Being one of the primary causes with responsibility for these challenges, the software-hardware interaction is advanced and widely studied in recent years. Unfortunately, none of the state-of-art researches has achieved widespread applicability in analyzing software-hardware interaction. Due to a lack of general model to describe the process, we present a software-hardware interaction model based on Petri Net(SHIPN), and also propose the systemic analysis method and process for software-hardware interaction. Indicating as a six-tuple Petri Net, SHIPN is a logic model of system events, and denote the cause and effect between the software events and hardware events, as well as the process of system events. Especially, SHIPN has non-conflict, non-collision and non-competition of resources, and is essentially different from the traditional Petri Net. Subsequently, we define formalized software-hardware interaction events on the basis of SHIPN, and designed an analysis algorithm based on the incident matrix to deduce causations and propagation paths of each software-hardware interaction. An application case in the communication control system demonstrates that SHIPN is an accurate and practicable model, and the proposed method provides an effective approach to analyze software-hardware interaction.

关键词： Software-hardware Interaction Petri Net Propagation Process analysis algorithm Communication Control System

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Current analysis platforms and methods for detecting copy number variation

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PHYSIOLOGICAL GENOMICS 2013年第1期45卷 1-16页

作者： Li, Wenli Olivier, Michael Med Coll Wisconsin Biotechnol & Bioengn Ctr 8701 Watertown Plank Rd Milwaukee WI 53226 USA

Copy number variation (CNV), generated through duplication or deletion events that affect one or more loci, is widespread in the human genomes and is often associated with functional consequences that may include changes in gene expression levels or fusion of genes. Genome-wide association studies indicate that some disease phenotypes and physiological pathways might be impacted by CNV in a small number of characterized genomic regions. However, the pervasiveness and full impact of such variation remains unclear. Suitable analytic methods are needed to thoroughly mine human genomes for genomic structural variation, and to explore the interplay between observed CNV and disease phenotypes, but many medical researchers are unfamiliar with the features and nuances of recently developed technologies for detecting CNV. In this article, we evaluate a suite of commonly used and recently developed approaches to uncovering genome-wide CNVs and discuss the relative merits of each.

关键词： copy number variation SNP array next generation sequencing detection method analysis algorithm

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A grid-based Bader analysis algorithm without lattice bias

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JOURNAL OF PHYSICS-CONDENSED MATTER 2009年第8期21卷 084204 (7p-084204 (7p页

作者： Tang, W. Sanville, E. Henkelman, G. Univ Texas Austin Dept Chem & Biochem Austin TX 78712 USA Univ Loughborough Dept Math Sci Loughborough LE11 3TU Leics England

A computational method for partitioning a charge density grid into Bader volumes is presented which is efficient, robust, and scales linearly with the number of grid points. The partitioning algorithm follows the steepest ascent paths along the charge density gradient from grid point to grid point until a charge density maximum is reached. In this paper, we describe how accurate off-lattice ascent paths can be represented with respect to the grid points. This improvement maintains the efficient linear scaling of an earlier version of the algorithm, and eliminates a tendency for the Bader surfaces to be aligned along the grid directions. As the algorithm assigns grid points to charge density maxima, subsequent paths are terminated when they reach previously assigned grid points. It is this grid-based approach which gives the algorithm its efficiency, and allows for the analysis of the large grids generated from plane-wave-based density functional theory calculations.

关键词： grid-based Bader analysis algorithm lattice bias grid direction Paths grid point algorithms Charge density Byways analysis of algorithm grids Grid computing computational methods

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The Life Prediction System Design of He-Ne Gas Laser

The Life Prediction System Design of He-Ne Gas Laser

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International Conference on Sustainable Construction Materials and Computer Engineering (ICSCMCE 2011)

作者： Cao Wenlun Chen Bei He Yuyao Northwestern Polytech Univ Xian 710072 Peoples R China

ISBN: (纸本)9783037852583

The data acquisition and life prediction system of gas laser is designed in this paper. The ARM STM3210B module is used as the core of hardware platform. The software platform is composed of parameter setting module, measurement modules of threshold current and optimum operating current, life test module, life analysis and prediction module, reanalysis module of report form and historical data. This article expounds emphatically the relationships among different modules. Meanwhile, the design idea of data exchanges among system software, analysis algorithm and hardware drive is realized successfully.

关键词： Laser Life prediction Test system analysis algorithm

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Towards automated analysis of connections network in distributed stream processing system

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13th International Conference on Database Systems for Advanced Applications

作者： Gorawski, Marcin Marks, Pawel Silesian Tech Univ Inst Comp Sci PL-44100 Gliwice Poland

ISBN: (纸本)9783540785675

Not so long ago data warehouses were used to process data sets loaded periodically during ETL process (Extraction, Transformation and Loading). We could distinguish two kinds of ETL processes: full and incremental. Now we often have to process real-time data and analyse them almost on-the-fly, so the analyses are always up to date. There are many possible applications for real-time data warehouses. In most cases two features are important: delivering data to the warehouse as quick as possible, and not losing any tuple in case of failures. In this paper we describe an architecture for gathering and processing data from geographically distributed data sources and we define a method for analysing properties of the connections structure, finding the weakest points in case of single and multiple node failures. At the end of the paper our future plans are described briefly.

关键词： stream processing fault-tolerance analysis algorithm

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Kinematic analysis of geared linkage mechanisms

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MECHANISM AND MACHINE THEORY 2005年第12期40卷 1394-1413页

作者： Li, TJ Cao, WQ Xidian Univ Sch Electromech Engn Xian 710071 Shaanxi Peoples R China Xian Univ Technol Dept Mech Engn Xian 710048 Peoples R China

A general approach to the kinematic analysis of planar geared linkage mechanisms (GLMs) is presented based on their structural topological characteristics. Firstly, a systematic method for decomposing a GLM into a series of sequential independent kinematic units, such as the simple links and the dyad link groups is proposed. The concept of tricolored graph and its mathematic expressions are introduced to describe the topological relationship between the kinematic pairs and the links in a GLM. The criteria and process for the structural decomposition and for choosing circuits using the theory of type transformation are established. Then the kinematic equations and the analytic solutions for the kinematic units are derived, and the method for the kinematic analysis of position, velocity and acceleration of GLMs is obtained in an algorithmic fashion. Finally, an application program has been developed, by which the whole work from the structural decomposition to the kinematic analysis can be accomplished automatically for any one of the GLMs. Some examples are used to illustrate the procedures. (c) 2005 Elsevier Ltd. All rights reserved.

关键词： geared linkage mechanism kinematic analysis tricolored graph structural decomposition kinematic unit analysis algorithm

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Proteomic profiling of cancer biomarkers

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Briefings in Functional Genomics and Proteomics 2003年第2期2卷 147-158页

作者： Shau, Hungyi Chandler, G. Scott Whitelegge, Julian P. Gornbein, Jeffrey A. Faull, Kym F. Chang, Helena R. Revlon/UCLA Breast Center Los Angeles CA 90095-7028 200 UCLA David Geffen Medical Plaza United States

Early detection and correct diagnosis are essential for effective treatment of cancer and patient survival. Complete sequencing of the human genome, and the genomes of other species, provides valuable tools for discerning the genetic abnormalities in cancer. However, differences between cancerous and normal cells reflect more than variations in genetic sequences and abundance of transcribed RNA. Many cancer biomarkers are manifestation of differences in post-transcriptional splicing and/or post-translational modifications. Thus, proteomic tools are being increasingly utilised in the post-genomic era for discovery of new cancer biomarkers. In this paper we will provide an overview of the biomarker discovery process from the proteomic profiling point of view, with emphasis given to the principles that are involved in the process, including the protein identification strategies, and how surface enhanced laser desorption ionisation mass spectrometry fits into the picture. The aim is to provide a resource for the experimental practitioner seeking awareness of the analytical tools that are now available in contemporary cancer research. © Henry Stewart Publications.

关键词： analysis algorithm Biomarkers Cancer diagnosis Matrix assisted laser desorption (MALDI) Proteomics Surface-enhanced loser desorption/ionisation (SELDI)

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Data assimilation in the presence of forecast bias: The GEOS moisture analysis

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MONTHLY WEATHER REVIEW 2000年第9期128卷 3268-3282页

作者： Dee, DP Todling, R NASA Goddard Space Flight Ctr Data Assimilat Off Greenbelt MD 20771 USA

The authors describe the application of the unbiased sequential analysis algorithm developed by Dee and da Silva to the Goddard Earth Observing System moisture analysis. The algorithm estimates the slowly varying, systematic component of model error from rawinsonde observations and adjusts the first-guess moisture field accordingly. Results of two seasonal data assimilation cycles show that moisture analysis bias is almost completely eliminated in all observed regions. The improved analyses cause a sizable reduction in the 6-h forecast bias and a marginal improvement in the error standard deviations.

关键词： .standard deviations varying assumptions sequential too cations slowly Flight Center rawinsonde Goddard Space accordingly model error unbiased rst-guess forecast bias GEOS Moisture analysis algorithm

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