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 chos...
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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 intens...
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.
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 signific...
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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.
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 met...
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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 t...
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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 ...
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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 an...
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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;flexibl...
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.
this book constitutes the refereed proceedings of the 9thinternationalconference on Intelligent Computing, ICIC 2013, held in Nanning, China, in July 2013. the 192 revised full papers presented in the three volumes ...
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ISBN:
(数字)9783642396786
ISBN:
(纸本)9783642396779
this book constitutes the refereed proceedings of the 9thinternationalconference 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.
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 confi...
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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.
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