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检索条件"任意字段=7th International Conference on Parallel and Distrubuted Computing, Applications and Technologies"

共 233 条记录，以下是151-160 订阅

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Integration of secure agents with a secure communication infrastructure for crisis management

Integration of secure agents with a secure communication inf...

引用

2011 12th international conference on Collaboration technologies and Systems, CTS 2011

作者： Balogh, Z. Gatial, E. Hluchý, L. Hudek, V. Konecny, M. Institute of Informatics Slovak Academy of Sciences Department of Parallel and Distributed Computing Bratislava Slovakia Ardaco A.s. Bratislava Slovakia

ISBN: (纸本)9781612846378

this paper proposes integration of secure agents with a secure communication infrastructure in order to provide rapid information gathering platform from various information sources and actors participating in a crisis situation. the role of agents is primarily a coordinated collection of information. the secure communication infrastructure (SCI) provides communication services for voice and data exchange between users and systems. A special type of agent called User Communication Agent is described. the communication with users is enacted through dynamically generated XForms-based questionnaires integrated with the user interface of the SCI. Although security and trust aspects are important part of both secure agents and SCI, we concentrate more on integration aspects between these two systems. the presented work is being developed in scope of the SECRICOM 7th FP integrated project. © 2011 IEEE.

关键词： Surveys

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parallel Image Processing for Liquid Level Detection 7th

Parallel Image Processing for Liquid Level Detection

引用

7th international conference on computing in Engineering and Technology, ICCET 2022

作者： Devare, Manoj Amity University Maharashtra Mumbai India

ISBN: (纸本)9789811927188

the liquid level detection in a transparent bottle is the requirement in the food, Beverage industry, Scene understanding, Chemical Laboratories, and Forensic sciences. the liquid level detection indicates the quantity of the liquid in the bottle to assure customer satisfaction. the liquid level in a transparent container is an edge, a sudden change in intensity. the problem of liquid level detection is an image processing application of the Canny Edge Detector. the image data set is prepared using different sizes, transparency, color, and orientation as straight, landscape, and reverse. the transparent bottle classification accuracy rate is 87.5%, and the overall accuracy rate is 69.56%. the Serial and parallel algorithms are developed to improve the speed of execution. the multiprocessing and concurrent process pool of the multiprocessing approach found 4.6 times better turnaround execution time over synchronous pool map, concurrent thread pool, asynchronous thread pool, and serial execution. © 2022, the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Bottles

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Speedup and parallelization Models for Energy-Efficient Many-Core Systems Using Performance Counters 15

Speedup and Parallelization Models for Energy-Efficient Many...

引用

15th international conference on High Performance computing & Simulation (HPCS)

作者： Al-hayanni, Mohammed A. N. Shafik, Rishad Rafiev, Ashur Xia, Fei Yakovlev, Alex Newcastle Univ Sch EEE Newcastle Upon Tyne NE1 7RU Tyne & Wear England Newcastle Univ Sch CS Newcastle Upon Tyne NE1 7RU Tyne & Wear England

ISBN: (纸本)9781538632505

Traditional speedup models, such as Amdahls, facilitate the study of the impact of running parallel workloads on man core systems. However, these models are typically based on software characteristics, assuming ideal hardware behaviors. As such, the applicability of these models for energy and/or performance-driven system optimization is limited by two factors. Firstly, speedup cannot be measured without instrumenting the original software codes, and secondly, the parallelization factor of an application running on specific hardware is generally unknown. In this paper, we propose a novel method, whereby standard performance counters found in modern many-core platforms can he used to derive speedup without instrumenting applications for time measurements. We postulate that speedup can be accurately estimated as a ratio of instructions per cycle for a parallel manycore system to the instructions per cycle of a single core system. By studying the application instructions and system instructions for the first film, our method leads to the determination of the parallelization factor and the optimal system configuration for energy and/or performance. the method is extensively demonstrated through experiments on three different platforms with core numbers ranging from 4 to 61, running parallel benchmark applications (including synthetic and PARSEC benchmarks) on Linux operating system. Speedup and parallelization estimations using our method and their extensive cross-validations show negligible errors (up to 8%) in these systems, Additionally, we demonstrate the effectiveness of our method to explore parallelization-aware energy-efficient system configurations for many-core systems using energy-delay-product based formulations.

关键词： Many-core processors speedup performance counter power normalized performance energy-delay-product

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A componentized approach to grid enabling seismic wave modeling application

引用

5th international conference on parallel and Distributed computing

作者： Bhardwaj, D Cohen, J McGough, S Newhouse, S Indian Inst Technol Dept Comp Sci & Engn Delhi India Univ London Imperial Coll Sci Technol & Med Londonn E Sci Ctr London SW7 2AZ England

ISBN: (纸本)3540240136

Seismic modeling is an integral part of the seismic data processing for oil and gas exploration, as it provides us the seismic response for a given earth model. Grid enabled seismic wave modeling can facilitate users in the area of geophysics to calculate synthetic seismograms using federated HPC resources and complex solution algorithms without knowing their complexities. the present paper is about componentization of the wave equation based seismic modeling algorithm and its implement using Imperial College e-Science Infrastructure (ICENI) Grid Middleware.

关键词： Computer science

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Recognizing ADLs of One Person Household based on Non-intrusive Environmental Sensing 18

Recognizing ADLs of One Person Household based on Non-intrus...

引用

18th IEEE/ACIS international conference on Software Engineering, Artificial Intelligence, Networking and parallel/Distributed computing (SNPD)

作者： Niu, Long Saiki, Sachio Nakamura, Masahide Kobe Univ Grad Sch Syst Informat Nada Ku 1-1 Rokkodai Kobe Hyogo 6578501 Japan

ISBN: (纸本)9781509055043

Pervasive sensing technologies are promising for increasing one-person households (OPH), where the sensors monitor and assist the resident to maintain healthy life rhythm. Towards the practical use, the recognition of activities of daily living (ADL) is an important step. Many studies of the ADL recognition have been conducted so far, for real-life and human-centric applications such as eldercare and healthcare. However, most existing methods have limitations in deployment cost, privacy exposure, and inconvenience for residents. To cope with the limitations, this paper presents a new indoor ADL recognition system especially for OPH. To minimize the deployment cost as well as the intrusions to user and house, we exploit an IoT-based environment-sensing device, called Autonomous Sensor Box (SensorBox) which can autonomously measure 7 kinds of environment attributes. We apply machine-learning techniques to the collected data, and predicts 7 kinds of ADLs. We conduct an experiment within an actual apartment of a single user. the result shows that the proposed system achieves the average accuracy of ADL recognition with more than 88%, by carefully developing the features of environment attributes.

关键词： Non-intrusive environment sensing Activities of Daily Living ADLs recognition Feature Engineering Machine Learning

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7th international conference on Learning and Collaboration technologies, LCT 2020, held as part of the 22nd international conference on Human-Computer Interaction, HCII 2020

7th International Conference on Learning and Collaboration T...

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7th international conference on Learning and Collaboration technologies, LCT 2020, held as part of the 22nd international conference on Human-Computer Interaction, HCII 2020

ISBN: (纸本)9783030505059

the proceedings contain 86 papers. the special focus in this conference is on Learning and Collaboration technologies. the topics include: Semantically annotated learning media for reduced cognitive load;learner’s mental state estimation with pc built-in camera;virtual reality as a stress reduction measure – chilling out on the beach in my living room;brain activation in virtual reality for attention guidance;visualizing students’ eye movement data to understand their math problem-solving processes;a co-design approach for the development and classroom integration of embodied learning apps;play to learn! nurturing fundamental digital skills of romanian preschoolers by developing edutainment applications;teachers’ adoption of embodied learning digital games with an inclusive education approach: Lessons learnt from the inteled project in spain;do individual differences modulate the effect of agency on learning outcomes with a serious game?;co-design for a competency self-assessment chatbot and survey in science education;agency affects learning outcomes with a serious game;experiential learning and stem in modern education: Incorporating educational escape rooms in parallel to classroom learning;edugame4city. a gamification for architecture students. viability study applied to urban design;game4city. gamification for citizens through the use of virtual reality made available to the masses. viability study in two public events;stickandclick – sticking and composing simple games as a learning activity;facilitating ideation and knowledge sharing in workplaces: the design and use of gamification in virtual platforms;immersive telepresence framework for remote educational scenarios;web-based teleoperation system for learning of 3d prototype designing and printing.

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An integration framework of cloud computing with wireless sensor networks

An integration framework of cloud computing with wireless se...

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7th international conference on Ubiquitous Information technologies and applications, CUTE 2012

作者： You, Pengfei Li, Huiba Peng, Yuxing Li, Ziyang National Key Laboratory for Parallel and Distributed Processing School of Computer Science National University of Defense Technology 410073 Changsha China

ISBN: (纸本)9789400758568

Wireless sensor networks (WSN) is a key technology extensively applied in many fields, such as transportation, health-care and environment monitoring. Despite rapid development, the exponentially increasing data emanating from WSN is not efficiently stored and used. Besides, the data from multiple different types and locations of WSN needs to be well analyzed, fused and supplied to various types of clients, such as PC, workstation and smart phone. the emerging cloud computing technology provides scalable data process and storage power and some types of connectable services, which can helpfully utilize sensor data from WSN. In this paper, we propose an integration framework of cloud computing with WSN, in which sensor data is transmitted from WSN to cloud, and processed and stored in cloud, then mined and analyzed so as to be supplied to various clients. By applying virtualization and cloud storage technology, and Infrastructure as a Service (IaaS) and Software as a Service (SaaS) of cloud service model, the framework can fully process and store mass sensor data from multiple types of WSN. Besides, it efficiently mines and analyzes sensor data, based on which the data applications are well supplied to various types of clients in form of services. © 2013 Springer Science+Business Media.

关键词： Virtualization

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Graph partitioning in scientific simulations: Multilevel schemes versus space-filling curves

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7th international conference on parallel computing technologies, PaCT 2003

作者： Schamberger, Stefan Wierum, Jens-Michael University of Paderborn Germany Paderborn Center for Parallel Computing Germany

ISBN: (纸本)3540406735

Using space-filling curves to partition unstructured finite element meshes is a widely applied strategy when it comes to distributing load among several computation nodes. Compared to more elaborated graph partitioning packages, this geometric approach is relatively easy to implement and very fast. However, results are not expected to be as good as those of the latter, but no detailed comparison has ever been published. In this paper we will present results of our experiments comparing the quality of partitionings computed with different types of space-filling curves to those generated with the graph partitioning package Metis. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Graph theory

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BRAID a hybrid processing architecture for big data 7

BRAID a hybrid processing architecture for big data

引用

7th international conference on Data Science, Technology and applications, DATA 2018

作者： Giebler, Corinna Stach, Christoph Schwarz, Holger Mitschang, Bernhard Institute for Parallel Anad Distributed Systems University of Stuttgart Universitätsstraße 38 StuttgartD-70569 Germany

ISBN: (纸本)9789897583186

the Internet of things is applied in many domains and collects vast amounts of data. this data provides access to a lot of knowledge when analyzed comprehensively. However, advanced analysis techniques such as predictive or prescriptive analytics require access to both, history data, i. e., long-term persisted data, and real-time data as well as a joint view on both types of data. State-of-the-art hybrid processing architectures for big data-namely, the Lambda and the Kappa Architecture-support the processing of history data and real-time data. However, they lack of a tight coupling of the two processing modes. that is, the user has to do a lot of work manually in order to enable a comprehensive analysis of the data. For instance, the user has to combine the results of both processing modes or apply knowledge from one processing mode to the other. therefore, we introduce a novel hybrid processing architecture for big data, called BRAID. BRAID intertwines the processing of history data and real-time data by adding communication channels between the batch engine and the stream engine. this enables to carry out comprehensive analyses automatically at a reasonable overhead. Copyright © 2018 by SCITEPRESS-Science and Technology Publications, Lda. All rights reserved.

关键词： Big data

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parallel unsupervised k-windows: An efficient parallel clustering algorithm

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7th international conference on parallel computing technologies, PaCT 2003

作者： Tasoulis, Dimitris K. Alevizos, Panagiotis D. Boutsinas, Basilis Vrahatis, Michael N. Department of Mathematics University of Patras PatrasGR-26500 Greece University of Patras PatrasGR-26500 Greece Department of Business Administration University of Patras PatrasGR-26500 Greece

ISBN: (纸本)3540406735

Clustering can be defined as the process of partitioning aset of patterns into disjoint and homogeneous meaningful groups (clusters).there is a growing need for parallel algorithms in this field sincedatabases of huge size are common nowadays. this paper presents a parallelversion of a recently proposed algorithm that has the ability to scalevery well in parallel environments. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Clustering algorithms

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