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检索条件"任意字段=10th International Conference on Parallel and Distributed Computing, Applications and Technologies"

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A Reconfigurable Multi-core computing Platform for Robotics and e-Health applications

A Reconfigurable Multi-core Computing Platform for Robotics ...

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international conference on Computer and Information Science (ACIS)

作者： Dennis Majoe Lars Widmer Liu Ling Jim Chih-Chen Kao Jurg Gutknecht MA Systems and Control Limited UK ETH Zürich Switzerland

Increasingly embedded devices are turning to two technologies to achieve high performance and enable efficient programmability as well as product usability. the first is multi-core processing on FPGA devices in which the multi-core architecture allows software to map application-level parallelism to inherent parallel fabric to offer better performance, the re-configurability leads to flexible and adaptive designs. the second is wireless communications that allow sensors to be distributed flexibly across a structure for example in the case of a body area network. this paper describes the ongoing design of a multi RF channel, multi-core embedded design which will be used as a generic FPGA solution to meet the requirements of both e-health applications as well as robotics applications.

关键词： Field programmable gate arrays Robots Program processors Sensors Electroencephalography Hardware parallel processing

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Muhadith: A Cloud Based distributed Expert System for Classification of Ahadith

Muhadith: A Cloud Based Distributed Expert System for Classi...

引用

Frontiers of Information Technology (FIT)

作者： Kashif Bilal Sajjad Mohsin North Dakota State University Fargo ND USA COMSATS Institute of Information Technology Islamabad Pakistan

this paper presents a novel approach for the classification of the religious scriptures, the Hadith (sayings of Prophet Muhammad (plural Ahadith)). Muhadith is a distributed, Cloud based expert system that uses the Hadith science to classify Ahadith among 24 types from seven broad categories. Classification of the Hadith is a complex and sensitive task, and can only be performed by an expert of the Hadith sciences. Muhadith expert system is designed to imitate the Hadith experts for Hadith classification, and to enable a computer to behave like a Hadith expert to discriminate the authentic Ahadith from unauthentic ones. this paper presents the relationship and mapping of the expert system technology onto Hadith sciences, and technicalities involved in designing of the Muhadith expert system. We also propose solutions for the communicational and interoperability problems faced by the legacy web based distributed expert systems. We employ service oriented architecture to overcome the communicational problem and a candidature for the Software as a Service (SaaS) for the Cloud computing. the expert system also provides a reasoning facility that enables the user to look into the classification details. Muhadith expert system has been designed by merging the ideas from the domains of expert systems, Web technologies, and distributed computing systems. this type of an effort on the topic is rare and applying them in the domain of Hadith is our humble contribution.

关键词： Expert systems Data mining Databases Service oriented architecture Engines Software as a service Cognition

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Determining the Factors Affecting the Accuracy of Effort Estimates for Different Application and Task Types

Determining the Factors Affecting the Accuracy of Effort Est...

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Frontiers of Information Technology (FIT)

作者： Saqib Bukhari Ali Afzal Malik Faculty of Information Technology University of Central Punjab Lahore Pakistan

An important asset in the skill set of any software project manager is the ability to somewhat accurately estimate the effort required to develop a software application. Acquiring this asset, however, requires a thorough understanding of the factors that may affect the accuracy of these estimates. this paper presents the results of an empirical study conducted to determine the causes of variation in the accuracy of effort estimations for different application and task types. A Pakistani software house that specializes in developing financial transaction processing applications is chosen for this empirical study. Actual and estimated values for software development effort are gathered and analyzed for four different types of applications - web-based, database, parallel processing, and telephony - each having six different types of tasks i.e. business-development, new features, usability, security, support, and performance. Over 1000 data points are considered. Analysis of the results reveals, for instance, that the effort for web-based applications is mostly underestimated while the effort for telephony applications is mostly overestimated. the underestimation in web-based applications is usually due to a failure to account for the learning curve associated with rapidly changing web technologies while the overestimation in telephony applications is usually due to a failure to account for the usage of third-party components.

关键词： Estimation Software Accuracy Telephony Business Databases parallel processing

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Workflow-enhanced conformational analysis of guanidine zinc complexes via a science gateway

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10th HealthGrid conference and the 4th international Workshop on Science Gateways for Life Sciences, IWSG-Life 2012

作者： Herres-Pawlis, Sonja Birkenheuer, Georg Brinkmann, André Gesing, Sandra Grunzke, Richard Jäkel, René Kohlbacher, Oliver Krüger, Jens Dos Santos Vieira, Ines Fakultät für Chemie und Pharmazie Department Chemie Ludwig-Maximilians-Universität München Butenandtstr. 5-13 81377 München Germany Paderborn Center for Parallel Computing University of Paderborn Warburger Str. 100 33098 Paderborn Germany Zentrum für Datenverarbeitung University of Mainz Saarstraße 21 55122 Mainz Germany Center ForBioinformatics Tübingen University of Tübingen Sand 14 72076 Tübingen Germany Zentrum für Informationsdienste und Hochleistungsrechnen Technische Universität Dresden Zellescher Weg 12-14 01062 Dresden Germany Fakultät für Chemie Technische Universität Dortmund 44221 Dortmund Germany

ISBN: (纸本)9781614990536

the new science gateway MoSGrid (Molecular Simulation Grid) enables users to submit and process molecular simulation studies on a large scale. A conformational analysis of guanidine zinc complexes, which are active catalysts in the ring-opening polymerization of lactide, is presented as an example. Such a large-scale quantum chemical study is enabled by workflow technologies. Two times 40 conformers have been generated, for two guanidine zinc complexes. their structures were optimized using Gaussian03 and the energies processed within the quantum chemistry portlet of the MoSGrid portal. All meta- and postprocessing steps have been performed in this portlet. All workflow features are implemented via WS-PGRADE and submitted to UNICORE. © 2012 the authors and IOS Press. All rights reserved.

关键词： Quantum chemistry

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Data-intensive computing with map-reduce and hadoop

Data-intensive computing with map-reduce and hadoop

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international conference on Application of Information and Communication technologies (AICT)

作者： Shamil Humbetov Department of Computer Engineering Qafqaz University Azerbaijan Azerbaijan

Every day, we create 2.5 quintillion bytes of data - so much that 90% of the data in the world today has been created in the last two years alone. this data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. the IDC sizing of the digital universe - information that is either created or captured in digital form and then replicated in 2006 - is 161 Exabyte, growing to 988 Exabyte in 2010, representing a compound annual growth rate (CAGR) of 57%. A variety of system architectures have been implemented for data-intensive computing and large-scale data analysis applications including parallel and distributed relational database management systems which have been available to run on shared nothing clusters of processing nodes for more than two decades. However most data growth is with data in unstructured form and new processing paradigms with more flexible data models were needed. Several solutions have emerged including the MapReduce architecture pioneered by Google and now available in an open-source implementation called Hadoop used by Yahoo, Facebook, and others. 20% of the world's servers go into huge data centers by the “Big 5” - Google, Microsoft, Yahoo, Amazon, eBay [1].

关键词： File systems Google Computers Data processing distributed databases Computational modeling Servers

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Evolution of data management systems: from uni-processor to large-scale distributed systems 12

Evolution of data management systems: from uni-processor to ...

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Proceedings of the 10th international conference on Advances in Mobile computing & Multimedia

作者： Abdelkader Hameurlain Paul Sabatier University Toulouse Cedex France

ISBN: (纸本)9781450313070

the purpose of this talk is to provide a comprehensive state of the art concerning the evolution of data management systems from uni-processor systems to large scale distributed systems. We focus our study on the query processing and optimization methods. For each environment, we recall their motivations and point out main characteristics of proposed methods, especially, the nature of decision-making (centralized or decentralized control for high level of scalability), adaptive level (intra-operator and/or inter-operator), impact of parallelism (partitioned and pipelined parallelism) and dynamicity (e.g. elasticity) of execution models.

关键词： query processing and optimization parallel and distributed database systems P2P systems heterogeneity data grid systems relational database systems data management autonomy data integration systems large scale dynamicity mobile agents

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High Performance Database Processing

High Performance Database Processing

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international conference on Advanced Information Networking and applications (AINA)

作者： David Taniar Clayton School of Information Technology Monash University Clayton VIC Australia

the sizes of databases have seen exponential growth in the past, and such growth is expected to accelerate in the future, with the steady drop in storage cost accompanied by a rapid increase in storage capacity. Many years ago, a terabyte database was considered to be large, but nowadays they are sometimes regarded as small, and the daily volumes of data being added to some databases are measured in terabytes. In the future, petabyte and exabyte databases will be common. With such volumes of data, it is evident that the sequential processing paradigm will be unable to cope, for example, even assuming a data rate of 1 terabyte per second, reading through a petabyte database will take over 10 days. To effectively manage such volumes of data, it is necessary to allocate multiple resources to it, very often massively so. the processing of databases of such astronomical proportions requires an understanding of how high-performance systems and parallelism work. Besides the massive volume of data in the database to be processed, some data has been distributed across the globe in a Grid environment. these massive data centres are also a part of the emergence of Cloud computing, where data access has shifted from local machines to powerful servers hosting web applications and services, making data access across the Internet using standard web browsers pervasive. this adds another dimension to such systems. this talk, based on our recent published book [1], discusses fundamental understanding of parallelism in data-intensive applications, and demonstrates how to develop faster capabilities to support them. this includes the importance of indexing in parallel systems [2-4], specialized algorithms to support various query processing [5-9], as well as objectoriented scheme [10-12]. parallelism in databases has been around since the early 1980s, when many researchers in this area aspired to build large special-purpose database machines -- databases employing dedicated specialized

关键词： distributed databases parallel processing Query processing Bioinformatics Algorithm design and analysis

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Invasive programming as a concept for HPC

Invasive programming as a concept for HPC

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10th IASTED international conference on parallel and distributed computing and Networks, PDCN 2011

作者： Bader, Michael Bungartz, Hans-Joachim Gerndt, Michael Hollmann, Andreas Weidendorfer, Josef Institute for Parallel and Distributed Systems Universität Stuttgart Universitätsstr. 38 70569 Stuttgart Germany Institute for Informatics Technische Universität München Boltzmannstr. 3 85748 Garching Germany

ISBN: (纸本)9780889868649

this paper introduces invasive computing, a new paradigm for programming parallel architectures. the goals are to enable the development and execution of resource aware programs that can dynamically allocate and free new resources in phases with more parallelism. To allocate more resources, applications use the invade operation and to free them the retreat. the research is conducted within the framework of the Transregional Collaborative Research Centre 89 funded by the German Science Foundation.

关键词： parallel architectures

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parallel immune algorithm for lung cancer detection in X-ray images based on object shared space

Parallel immune algorithm for lung cancer detection in X-ray...

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2011 12th international conference on parallel and distributed computing, applications and technologies, PDCAT 2011

作者： Peng, Gang Yang, Xiong Liu, Li Dept. of Computer Science and Technology Huizhou University Huizhou City Guangdong 516007 China

ISBN: (纸本)9780769545646

this paper discusses a parallel immune algorithm (IA) for detection of lung cancer in chest X-ray images based on object shared space. the template matching method is combined to the algorithm and JavaSpaces is used as object shared space. the experiment results show that the algorithm is efficient for detecting suspected lung cancer in chest X-ray images. © 2011 IEEE.

关键词： Diseases

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SIGMA - SemantIc Government Mash-up Application: Using semantic Web technologies to provide access to governmental data

SIGMA - SemantIc Government Mash-up Application: Using seman...

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2011 10th international Symposium on parallel and distributed computing, ISPDC 2011

作者： Gheorghiu, Claudia Nicolescu, Radu Bogdan, Andrei Vasile Ochisor, Cristian Buraga, Sabin C. Alboaie, Lenuta Faculty of Computer Science Alexandru Ioan Cuza University Iasi Romania

ISBN: (纸本)9780769545400

the paper presents SIGMA (Semantic Government Mash-up Application), a platform able to create mash-ups by providing access to open governmental data. the proposed solution is based on the existing semantic Web technologies (especially RDF and SPARQL) and uses public distributed endpoints conforming to the Linked Data initiative. Also, SIGMA allows creating and deployment of independent plugins, encouraging the developers to build innovative applications, visualization solutions and mash-ups that give an improved access to the governmental data. © 2011 IEEE.

关键词： Linked data

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