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检索条件"任意字段=6th International Conference on Bioinformatics Models, Methods and Algorithms, BIOINFORMATICS 2015"

共 237 条记录，以下是121-130 订阅

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Transient analysis of a queuing system with matrix-geometric methods

Transient analysis of a queuing system with matrix-geometric...

引用

6th international conference on Next Generation Teletraffic and Wired/Wireless Advanced Networking, NEW2AN 2006

作者： Vaderna, Peáter Eálteto, Tamaás Traffic Laboratory Ericsson Research Irinyi J. u. 4-20 H-1117 Budapest Hungary

ISBN: (纸本)3540344292

this paper investigates a queuing system with infinite number of servers where the arrival process is given by a Markov Arrival Process (MAP) and the service time follows a Phase-type (PH) distribution. they were chosen since they are simple enough to describe the model by exact methods. Moreover, highly correlated arrival processes and heavy-tailed service time distributions can be approximated by these tools on a wide range of time-scales. the transient behaviour of the system is analysed and the time-dependent moments of the queue length is computed explicitly by solving a set of differential equations. the results can be applied to models where performance of parallel processing is important. the applicability of the model is illustrated by dimensioning a WEB-based content provider. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Queueing networks

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6th international Workshop on Database Machines, IWDM 1989

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6th international Workshop on Database Machines, IWDM 1989

ISBN: (纸本)9783540513247

the proceedings contain 24 papers. the special focus in this conference is on Database Machines. the topics include: Preface;an object flow computer for database applications;a parallel container model for data intensive applications;function request shipping in a database machine environment;special function unit for statistical aggregation functions;generic associative memory for information retrieval;design and analysis of a parallel VLSI string search algorithm;integrating integrity constraints with database filters implemented in hardware;main memory database research directions;recovery algorithms for database machines with non-volatile main memory;an intelligent memory transaction engine;a parallel transitive closure algorithm using hash-based clustering;design and implementation of KARDAMOM - A set-oriented data flow database machine;a new version of a parallel production system machine, MANJI-II;a parallel processing architecture for real-time production systems with truth maintenance;the Braunschweig Relational Database Machine project results;the development of the CROSS8 and HC16-186 parallel (database) computers;analysis of some experimental results for the TDM;an experiment on response time scalability in Bubba;language levels and computational model for a parallel database accelerator;a graph based data structure for efficient implementation of main memory DBMS's;implementing PRISMA/DB in an OOPL;database processing models in parallel processing systems;parallel sorting methods for large data volumes on a hypercube database computer;evaluation of 18-stage pipeline hardware sorter.

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A Knowledge Based Self-Adaptive Differential Evolution Algorithm for Protein Structure Prediction 19th

A Knowledge Based Self-Adaptive Differential Evolution Algor...

引用

19th Annual international conference on Computational Science (ICCS)

作者： Narloch, Pedro H. Dorn, Marcio Univ Fed Rio Grande do Sul Inst Informat Porto Alegre RS Brazil

ISBN: (纸本)9783030227449;9783030227432

Tertiary protein structure prediction is one of the most challenging problems in Structural bioinformatics, and it is a NP-Complete problem in computational complexity theory. the complexity is related to the significant number of possible conformations a single protein can assume. Metaheuristics became useful algorithms to find feasible solutions in viable computational time since exact algorithms are not capable. However, these stochastic methods are highly-dependent from parameter tuning for finding the balance between exploitation (local search refinement) and exploration (global exploratory search) capabilities. thus, self-adaptive techniques were created to handle the parameter definition task, since it is time-consuming. In this paper, we enhance the Self-Adaptive Differential Evolution with problem-domain knowledge provided by the angle probability list approach, comparing it with every single mutation we used to compose our set of mutation operators. Moreover, a population diversity metric is used to analyze the behavior of each one of them. the proposed method was tested with ten protein sequences with different folding patterns. Results obtained showed that the self-adaptive mechanism has a better balance between the search capabilities, providing better results in regarding root mean square deviation and potential energy than the non-adaptive single-mutation methods.

关键词： Protein structure prediction Self-Adaptive Differential Evolution Structural bioinformatics Knowledge-based methods

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Exploiting scalable parallelism for remote sensing analysis models by data transformation graph 15th

Exploiting scalable parallelism for remote sensing analysis ...

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15th international conference on algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Huang, Zhenchun Li, Guoqing Department of Computer Science and Technology Tsinghua University Beijing100084 China Institute of Remote Sensing and Digital Earth CAS Beijing100094 China

ISBN: (纸本)9783319271361

According to the great hunger in performance capability and scalability for remote sensing analysis models, it is important to exploit scalable parallelism for remote sensing data analysis models. In this paper, a method named data transformation graph (shortly DTG) is introduced, which describes an analysis model by transformations among data items. DTG can be used to study the solvability and performance of analysis models. Taking global drought detection as an example, its execution and optimization are studied carefully by DTG, and some methods are proposed for accelerating remote sensing data analysis models. At last, a distributed data-intensive computing test system is built based on Robinia, and global drought detection application is implemented for performance evaluation. the test result shows that DTG based parallelization and optimization improves the performance with high efficiency evidently, and DTG is valuable to study and optimize remote sensing data analysis models for higher performance in distributed and parallel computing environments. © Springer international Publishing Switzerland 2015.

关键词： Metadata

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Effect of care gesture on transfer care behavior in elderly nursing home in Japan 6th

Effect of care gesture on transfer care behavior in elderly ...

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6th international conference on Digital Human Modeling, DHM 2015 Held as Part of 17th international conference on Human-Computer Interaction, HCI international 2015

作者： Liao, Mengyuan Yoshikawa, Takashi Goto, Akihiko Ota, Tomoko Hamada, Hiroyuki Advanced Fibro-Science Kyoto Institute of Technology Kyoto Japan National Institute of Technology Niihama College Niihama Japan Department of Information Systems Engineering Osaka Sangyo University Daito Japan Chuo Business Group Osaka Japan

ISBN: (纸本)9783319210698

In this paper, care gesture effect on elder transfer care behavior between bed and wheelchair was investigated. A ‘hypothesis’ elder (a 80 kg cooperative female with 15 years of care occupation experience, assumed that the lower half body is paralyzed) was employed in both expert and non-expert caregiver’s handling tasks. Both expert and non-expert’s care gestures during transfer care process (hold up, turning, lower down) were recorded by three-dimensional motion capture system. In order to extract expert and non-expert care gesture’s feature difference, motion analysis of caregiver’s body exertions was also summarized by body gravity movement track, knee’s flexion/extension, low-back bending situation. As a result, it could be concluded that expert master optimal care gesture to accomplish the transfer care work with reduced body loading and limited energy by taking full advantage of lower half body exertion. © Springer international Publishing Switzerland 2015

关键词： Physiological models

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Single-channel mixture decomposition using Bayesian harmonic models

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6th international conference on Independent Component Analysis and Blind Signal Separation, ICA 2006

作者： Vincent, Emmanuel Plumbley, Mark D. Electronic Engineering Department Queen Mary University of London Mile End Road London E1 4NS United Kingdom

ISBN: (纸本)3540326308

We consider the source separation problem for single-channel music signals. After a brief review of existing methods, we focus on decomposing a mixture into components made of harmonic sinusoidal partials. We address this problem in the Bayesian framework by building a probabilistic model of the mixture combining generic priors for harmonicity, spectral envelope, note duration and continuity. Experiments suggest that the derived blind decomposition method leads to better separation results than nonnegative matrix factorization for certain mixtures. © Springer-Verlag Berlin Heidelberg 2006.

关键词： Communication channels (information theory)

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models of knowledge transfer for sustainable development

Models of knowledge transfer for sustainable development

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10th international conference on Software Engineering and Formal methods, SEFM 2012, 1st international Symposium on InSuEdu 2012, 1st international Symposium on MoKMaSD 2012, 6th international Workshop on Foundations and Techniques for OpenCert 2012

作者： Bolisani, Ettore Scramoncin, Prancesca Shaikh, Siraj Ahmed Department of Management and Engineering Faculty of Engineering University of Padua Padova Italy Research Group Department of Computing Faculty of Engineering and Computing Coventry United Kingdom

ISBN: (纸本)9783642543371

Sustainable development requires that distant organisations connect to one another and exchange knowledge. Online social networks have the potential to support these processes. It is however important to understand and model the processes of knowledge transfer that can effectively occur on the Internet. this paper explores recent literature with the purpose to highlight relevant formal approaches that can help to model and analyse the processes of inter-organisational knowledge transfer for sustainable development. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Sustainable development

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10th international Doctoral Workshop on Mathematical and Engineering methods in Computer Science, MEMICS 2015

10th International Doctoral Workshop on Mathematical and Eng...

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10th international Doctoral Workshop on Mathematical and Engineering methods in Computer Science, MEMICS 2015

ISBN: (纸本)9783319298160

the proceedings contain 13 papers. the special focus in this conference is on Mathematical and Engineering methods in Computer Science. the topics include: Programming support for future parallel architectures;flexible interpolation for efficient model checking;understanding transparent and complicated users as instances of preference learning for recommender systems;span-program-based quantum algorithms for graph bipartiteness and connectivity;fitting aggregation operators;practical exhaustive generation of small multiway cuts in sparse graphs;self-adaptive architecture for multi-sensor embedded vision system;exceptional configurations of quantum walks with grover’s coin;performance analysis of distributed stream processing applications through colored petri nets;GPU-accelerated real-time mesh simplification using parallel half edge collapses;classifier ensemble by semi-supervised learning;the challenge of increasing safe response of antivirus software users and weak memory models as LLVM-to-LLVM transformations.

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Emerging Intelligent Computing Technology and Applications 1

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丛书名： Communications in Computer and Information Science

1000年

作者： De-Shuang Huang Phalguni Gupta Ling Wang Michael Gromiha

ISBN: (数字)9783642396786

ISBN: (纸本)9783642396779

this book constitutes the refereed proceedings of the 9th international conference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. the 192 revised full papers presented in the three volumes LNCS 7995, LNAI 7996, and CCIS 375 were carefully reviewed and selected from 561 submissions. the papers in this volume (CCIS 375) are organized in topical sections on Neural Networks; Systems Biology and Computational Biology; Computational Genomics and Proteomics; Knowledge Discovery and Data Mining; Evolutionary Learning and Genetic algorithms; Machine Learning theory and methods; Biomedical Informatics theory and methods; Particle Swarm Optimization and Niche Technology; Unsupervised and Reinforcement Learning; Intelligent Computing in bioinformatics; Intelligent Computing in Finance/Banking; Intelligent Computing in Petri Nets/Transportation Systems; Intelligent Computing in Signal Processing; Intelligent Computing in Pattern Recognition; Intelligent Computing in Image Processing; Intelligent Computing in Robotics; Intelligent Computing in Computer Vision; Special Session on Biometrics System and Security for Intelligent Computing; Special Session on Bio-inspired Computing and Applications; Computer Human Interaction using Multiple Visual Cues and Intelligent Computing; Special Session on Protein and Gene bioinformatics: Analysis, algorithms and Applications.

关键词： Mathematical models of Cognitive Processes and Neural Networks Artificial Intelligence Computational Biology/bioinformatics Image Processing and Computer Vision Pattern Recognition Biometrics

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Potential Activated Pathways Related to Progress of Bladder Cancer Explored by Protein Networks with Gene Expression Changes 6

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6th European conference of the international-Federation-for-Medical-and-Biological-Engineering (MBEC)

作者： Hung, F. H. Chiu, H. W. Taipei Med Univ Grad Inst Biomed Informat Taipei Taiwan

ISBN: (纸本)9783319111278

Cell signaling pathway is an important facet of biological life. the integration of protein interaction and gene expression data is suitable to uncover the regulation of pathway. However, these methods are still confined to a partial region of large-scale genomics and whole-proteomics. In previous studies for this topic, researches usually focused on the gene level or some limited groups, thus several cancer-related genes cannot appear to known pathway maps. this study presents an approach to finding potential fragments of activated pathways around known pathways between the different stages of cancers. We used a maximum score-based function that integrates genomics and proteomics information. the quantification of the strength of gene expression change was implemented and the global status pathway maps were illustrated. the resulting map shows a possible correspondence between known pathway and cancer-related genes that are not on the known pathway. Comparing diverse status pathway map reveals a global change of diverse disease states pathway level. In this study, the data of bladder cancer was analyzed to explain which potential fragments of pathway play important role at different cancer stages. the insight we gain from the pathway map of different disease statuses helps us to understand the progress of cancer.

关键词： biopathway cancer gene expression bioinformatics

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