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检索条件"任意字段=8th International Conference on Distributed Computing and Networking"

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Use of cultural intelligence to measure influence of online social networks on cultural adjustment 8th

Use of cultural intelligence to measure influence of online ...

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8th international conference on Cross-Cultural Design, CCD 2016 and Held as Part of 18th international conference on Human-Computer Interaction, HCI international 2016

作者： Adikari, Shalinda School of Computing National University of Singapore Singapore

ISBN: (纸本)9783319400921

When people are crossing the borders for studies, business and migration purposes, they have to face the culture shock during the mingling of new cultures. However, as online social networks can be reached anytime, from anywhere in most cases where access to traditional networks is impossible, this makes online social networks, particularly important to the sojourner who will have to constantly resort to social support sources to cope with the difficulties and psychological stress of cross-cultural adjustment. Nevertheless, the use of online social networks in the context of cultural adjustment is an under explored area. this study draws upon social network theory, social capital theory and cultural adjustment perspectives, to develop a new model which can contribute to the sparse literature on the impact of online social networks on cross-cultural adjustment and serves a foundation for future research in this vital area of influence of online social networks. © Springer international Publishing Switzerland 2016.

关键词： Social networking (online)

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A Scalable Object Detection Framework Based on Embedded Manycore Cluster 8

A Scalable Object Detection Framework Based on Embedded Many...

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8th international conference on Cyber-Enabled distributed computing and Knowledge Discovery (CyberC)

作者： Gao, Fang Huang, Zhangqin Wang, Shulong Ji, Xinrong Beijing Univ Technol Beijing Adv Innovat Ctr Future Internet Technol Beijing Peoples R China Beijing Univ Technol Beijing Engn Res Ctr IoT Software & Syst Beijing Peoples R China

ISBN: (纸本)9781509051540

Performance of high resolution image process is one of the kernel problems that must be addressed to promote the development of embedded system. In this study, a scalable bi-level parallel object detection framework based on heterogeneous manycore cluster was established to improve object detection performance for embedded device. First, the fundamental principle of local binary pattern and cascade classifier combined object detection method was introduced as the basis of the research. Second, a set of key algorithm design to parallel access and process image for object detection based on Parallella manycore platform was proposed to improve the detection speed and the computational resource efficiency on single node. third, a Message Passing Interface based distributed framework was established for cluster environment to further improve the performance. Finally, an experiment of face detection application was conducted to evaluate the accuracy and performance of this framework. the experimental results show that on one node, the proposed object detection system provides 7.8 times speedup than a serial algorithm on dual-core ARM which was integrated in Parallella with similar accuracy, and in cluster environment, the performance will be doubled. the results demonstrate the promising application of the proposed framework in the field of object detection performance improvement.

关键词： cluster high performance embedded computing LBP cascade classifier MPI

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Operational Reliability Evaluation Method Based on Big Data Technology 8

Operational Reliability Evaluation Method Based on Big Data ...

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8th international conference on Cyber-Enabled distributed computing and Knowledge Discovery (CyberC)

作者： Hu, Lijuan Liu, Ke-yan Diao, Yinglong Meng, Xiaoli Sheng, Wanxing China Elect Power Res Inst Beijing Peoples R China

ISBN: (纸本)9781509051540

this paper focuses on using big data technology to solve the operational reliability evaluation problem in the power distribution system. Operational reliability evaluation means the capability to forecast the future reliability from the current system. this becomes a challenge problem as the power distribution network has been even more complex. Meanwhile, the safety and reliability are considered more and more critical for the network. therefore, it needs to new approach to evaluate the operational state of power distribution system. For such a purpose, this paper proposes an operational reliability evaluation method based on the big data of distribution network and big data processing technology. Based on the operational reliability index system of distribution network, this paper firstly analyzed the main influencing factors of each reliability indexes by using parallel association rules mining method. then, by using these factors as input variables, an evaluation model was established based on artificial neural network. Based on the evaluation model and real-time data, the operational reliability can be obtained.

关键词： operational reliability association rules mining parallel computing artificial neural network

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ENVIRONMENTS FOR ONLINE MARITIME SIMULATORS WIth CLOUD computing CAPABILITIES 8

ENVIRONMENTS FOR ONLINE MARITIME SIMULATORS WITH CLOUD COMPU...

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8th international conference on Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies (ATOM-N)

作者： Raicu, Gabriel Raicu, Alexandra Constanta Maritime Univ Dept Econ Engn Transports 104 Mircea Cel Batran Constanta 900663 Romania Constanta Maritime Univ Dept Gen Engn Sci 104 Mircea Cel Batran Constanta 900663 Romania

ISBN: (数字)9781510604254

ISBN: (纸本)9781510604247;9781510604254

this paper presents the cloud computing environments, network principles and methods for graphical development in realistic naval simulation, naval robotics and virtual interactions. the aim of this approach is to achieve a good simulation quality in large networked environments using open source solutions designed for educational purposes. Realistic rendering of maritime environments requires near real-time frameworks with enhanced computing capabilities during distance interactions. E-Navigation concepts coupled with the last achievements in virtual and augmented reality will enhance the overall experience leading to new developments and innovations. We have to deal with a multiprocessing situation using advanced technologies and distributed applications using remote ship scenario and automation of ship operations.

关键词： maritime simulators virtual ship cloud computing e-navigation remote actions

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Modeling uncertainty in support vector surrogates of distributed energy resources: Enabling robust smart grid scheduling 8

Modeling uncertainty in support vector surrogates of distrib...

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8th international conference on Agents and Artificial Intelligence, ICAART 2016

作者： Bremer, Jörg Lehnhoff, Sebastian Department of Computing Science University of Oldenburg Uhlhornsweg Oldenburg Germany R and D Division Energy OFFIS - Institute for Information Technology Escherweg Oldenburg Germany

ISBN: (纸本)9789897581724

Robust proactive planning of day-ahead real power provision must incorporate uncertainty in feasibility when trading off different schedules against each other during the predictive planning phase. Imponderabilities like weather, user interaction, projected heat demand, and many more have a major impact on feasibility - in the sense of being technically operable by a specific energy unit. Deviations from the predicted initial operational state of an energy unit may easily foil a planned schedule commitment and provoke the need for ancillary services. In order to minimize control power and cost arising from deviations from agreed energy product delivery, it is advantageous to a priori know about individual uncertainty. We extend an existing surrogate model that has been successfully used in energy management for checking feasibility during constraint-based optimization. the surrogate is extended to incorporate confidence scores based on expected feasibility under changed operational conditions. We demonstrate the superiority of the new surrogate model by results from several simulation studies. Copyright © 2016 by SCITEPRESS - Science and Technology Publications, Lda. All rights reserved.

关键词： Smart power grids

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Encoding Clinical Recommendations into Fuzzy DSSs: An Application to COPD Guidelines 8th

Encoding Clinical Recommendations into Fuzzy DSSs: An Applic...

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8th international conference on Knowledge, Information, and Creativity Support Systems (KICSS)

作者： Minutolo, Aniello Esposito, Massimo De Pietro, Giuseppe ICAR CNR Inst High Performance Comp & Networking Via P Castellino 111 I-80131 Naples Italy

ISBN: (纸本)9783319190907;9783319190891

Clinical Decision Support Systems (DSSs) have been applied to medical scenarios by computerizing a set of clinical guidelines of interest, with the final aim of simulating the process followed by the physicians. In this context, fuzzy logic has been profitably used for modeling clinical guidelines affected by uncertainty and improving the interpretability of clinical DSSs through its expressivity close to natural language. However, the task of computerizing clinical guidelines in terms of fuzzy if-then rules can be complex and, often, requires technical capabilities not owned by physicians. In order to face this issue, this paper introduces a fuzzy knowledge editing framework expressly devised and designed to simplify the procedures necessary to codify clinical guidelines in terms of fuzzy if-then rules and linguistic variables. this framework is described with respect to a specific real case regarding the formalization of clinical recommendations extracted from the GOLD guidelines, which contain the best evidence for diagnosing and managing the Chronic Obstructive Pulmonary Disease.

关键词： Clinical DSS Knowledge editor Fuzzy rules

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Maximizing the user's benefit in the mobile cloud computing 3

Maximizing the user's benefit in the mobile cloud computing

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8th Wireless of the Students, by the Students, and for the Students Workshop, S3

作者： Wang, Ning Wu, Jie Dept. of Computer and Information Sciences Temple University United States

ISBN: (纸本)9781450342551

the increasing task computation complexity and limited battery has become a serious concern for smartphones. To reduce the task computation delay and save the smartphone battery usage, there have been many efforts to offload the tasks from the mobile device to the remote cloud with a much higher computation ability. However, offloading tasks to cloud will cause extra transmission delays and energy consumption. In reality, timely task execution is very important because the task's utility decays with time. therefore, there exists a delay-energy trade-off. this paper addresses the aforementioned challenge. the smartphone should take advantage of the cloud in high computation speed so that the smartphone can achieve the maximum utility with limited battery. We get a 2-approximation schedule on expectation by using a LP rounding algorithm. the real trace experiments show the effectiveness of the proposed algorithms. © 2016 ACM.

关键词： Smartphones

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A database-centric approach for the modeling, simulation and control of cyber-physical systems in the factory of the future.

A database-centric approach for the modeling, simulation and...

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8th IFAC conference on Manufacturing Modelling, Management and Control (MIM)

作者： Bonci, Andrea Pirani, Massimiliano Longhi, Sauro Univ Politecn Marche DII I-60131 Ancona Italy

the path towards Industrie 4.0, requires that factory automation problems cope with the cyber-physical system complexity and its challenges. Some practical experiences and literature in the field testify that the role of the database management systems is becoming central for control and automation technology in the new industrial scenario. this article proposes database-centric technology and architectures that seamlessly integrate networking, artificial intelligence and real-time control issues into a unified model of computing. the proposed methodology is also viable for the development of simulation and rapid prototyping tools for smart and advanced industrial automation. (C) 2016, IFAC (Informational rederation of Automatic Control) Hosting Elsevier Ltd. All rights reserved.

关键词： Computational methods Database management systems distributed computer control systems Embedded systems Industry automation Intelligent manufacturing systems Simulators

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Performance Evaluation of In-Memory computing on Scale-Up and Scale-Out Cluster 8

Performance Evaluation of In-Memory Computing on Scale-Up an...

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8th international conference on Ubiquitous and Future Networks (ICUFN)

作者： Yoo, Taekyung Yim, Minsub Jeong, Ilgyun Lee, Yunsu Chun, Seung-Tae Datastreams Corp Seoul South Korea

ISBN: (纸本)9781467399913

Apache Spark framework, which is the implementation of Resilient distributed Datasets(RDD), is used instead of MapReduce on recent data processing models of Hadoop ecosystem. In this paper, we evaluated the performance and resource usage of real world workloads on scale-up and scale-out clusters using the in-memory caching feature of Spark framework. In our experiments, scale-up processed data more efficiently than scale-out in write intensive workloads such as Sort and Scan, whereas scale-out had strength in those utilizing iterative algorithms such as Join, Pagerank and KMeans. Considering the efficiency in physical factors including performance per watt and the physical space each occupies, we show that it is more advantages to use scale up cluster than scale out.

关键词： Iterative methods

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On Addressing Mobility Issues in Wireless Mesh Networks using Software-Defined networking 8

On Addressing Mobility Issues in Wireless Mesh Networks usin...

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8th international conference on Ubiquitous and Future Networks (ICUFN)

作者： Labraoui, Mohamed Chatzinakis, Charalampos Boc, Michael Mathias Fladenmuller, Anne CEA Communicating Syst Lab LIST F-91191 Gif Sur Yvette France Univ Pierre & Marie Curie Paris VI Lab Informat Paris CNRS 6 LIP6 4 Pl Jussieu F-75005 Paris France

ISBN: (纸本)9781467399913

Wireless Mesh Networks (WMNs) are ad-hoc networks where no infrastructure exists and where some of the participating nodes can also act as routers to forward traffic on behalf of others. WMNs have been proposed for various applications and can greatly vary in terms of size (from a handful of nodes to thousands) and complexity (static or mobile nodes, scarce or dense etc.). Efficient and robust IP routing is essential for these networks and its performance can greatly affect all other network performance metrics such as throughput, delay, packet delivery ratio etc. A lot of routing algorithms have been proposed ever since the advent of WMNs and research is still ongoing on the topic. All of the proposed solutions are based on the principle of distributed routing where routers exchange signalization messages in order to discover the network topology. In the present paper we propose a centralized routing based on the relatively recent paradigm of Software Defined networking (SDN). We have used NS3 to simulate a dynamic mesh network where a subset of nodes are mobile and a source host generates traffic destined to a sink host. We evaluated four common network performance metrics namely packet delivery ratio, packet drop ratio due to route unavailability, average throughput and signalling overhead. By making appropriate assumptions, we compared our solution with three of the most widely used routing protocols for WMNs namely DSDV, AODV and OLSR. Our simulations demonstrate that, under certain conditions, our solution outperforms the aforementioned distributed routing algorithms and can improve network performance.

关键词： Wireless mesh networks Software-Defined Network routing protocols network performances

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