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

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Proceedings - 2016 international conference on Cyber-Enabled distributed computing and Knowledge Discovery, CyberC 2016

Proceedings - 2016 International Conference on Cyber-Enabled...

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8th international conference on Cyber-Enabled distributed computing and Knowledge Discovery, CyberC 2016

ISBN: (纸本)9781509051540

the proceedings contain 90 papers. the topics discussed include: a new compile-time obfuscation scheme for software protection;inferring phylogenetic networks of malware families from API sequences;reviving android malware with DroidRide: and how not to;software system for automatic reaction to network anomalies and in real time data capturing necessary for investigation of digital forensics;a novel Botnet detection method based on preprocessing data packet by graph structure clustering;a lattice-based access control model for social networks;a novel design of pipeline MDC-FFT processor based on various memory access mechanism;a LEAP PLUS key management scheme with sliding time interval;a particle filter-based approach for effectively detecting low-rate denial of service attacks;distributed air traffic flow management at terminal control area;a method of meta-context ontology modeling and uncertainty reasoning in SWoT;a scalable object detection framework based on embedded Manycore;comparative analysis on the conjunctive and disjunctive assumptions for the belief rule base;analysis of crime rate distribution based on TPML-WMA;factors dominating individuals' retweeting decisions;classification of massive user load characteristics in distribution network;a breast cancer risk classification model based on the features selected by novel F-score index for the imbalanced multi-feature dataset;deepening prose comprehension by incremental free text conceptual graph mining and knowledge;discovering bloom taxonomic relationships between knowledge units using semantic graph triangularity mining;and multi-source and heterogeneous data integration model for big data analytics in power DCS.

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distributed Supervisory Control Synthesis For Discrete Manufacturing Systems

Distributed Supervisory Control Synthesis For Discrete Manuf...

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

作者： Qamsane, Y. Tajer, A. Philippot, A. ENSA Univ Cadi Ayyad LGECoS Lab BP 575 Marrakech 40000 Morocco Univ Reims CReSTIC BP 1039 F-51687 Reims France

A formal approach to distributed supervisory control synthesis for automated manufacturing systems is presented in this paper. the discrete manufacturing system (plant) is modeled with automata in a modular way and local control specifications are defined for each local subsystem by means of logical equations in order to construct local supervisors. To establish global control, global specifications are defined as logical combinations to ensure coordination and interaction between the different subsystems. Formal algorithms for the intersection between local controllers and global constraints are proposed. We refer to the resultant controllers as distributed Controllers (DCs). the formulation of the problem and the control synthesis algorithms are applied to an experimental manufacturing system. (C) 2016, IFAC (international Federation or Automatic Control) Hosting hy Elsevier Ltd. All rights reserved.

关键词： Discrete Event Systems Supervisory Control manufacturing Control Synthesis PLC

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Formal Specification of Temporal Constraints in Clinical Practice Guidelines 8th

Formal Specification of Temporal Constraints in Clinical Pra...

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

作者： Iannaccone, Marco Esposito, Massimo Natl Res Council Italy Inst High Performance Comp & Networking ICAR Naples Italy

ISBN: (纸本)9783319190907;9783319190891

In the last years, both clinical evidence and expert consensus have been codified in the form of clinical practice guidelines in order to promote an actual empowerment in the overall quality of care. Even if different solutions have been realized to specify temporal constraints in computerized guidelines, none of them proposes a formal language as the basis of guideline formalism in order to easily and directly support the temporal perspective. In such a direction, this paper proposes a formal approach, which has been seamlessly embedded into a standards-based verifiable guideline model, named GLM-CDS (GuideLine Model for Clinical Decision Support). Such an approach hybridizes the theoretic semantics of ontology and rule languages to specify a variety of temporal constraints according to some time patterns, i.e., task duration, periodicity, deadline, scheduling and time lags. these constraints are then encoded in the form of rules verifiable at run-time during the guideline enactment, in order to support the detection of violations or errors occurred with respect to the temporal perspective. As an example of application of the proposed approach, some temporal constraints have been integrated in GLM-CDS and verified by using a reasoning engine, according to the time patterns identified.

关键词： Clinical practice guidelines Decision support systems Time patterns Temporal constraints Ontology Rules

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Collaboration Technologies and Social computing: 8th international conference, CollabTech 2016, Kanazawa, Japan, September 14-16, 2016, Proceedings 1

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丛书名： Communications in Computer and Information Science 647

2016年

作者： Takashi Yoshino, Gwo-Dong Chen, Gustavo Zurita, Takaya Yuizono, Tomoo Inoue, Nelson Baloian (eds.)

ISBN: (数字)9789811026188

ISBN: (纸本)9789811026171;9789811026188

this book constitutes the refereed proceedings of the 8th international conference on Collaboration Technologies, CollabTech 2016, held in Kanazawa, Japan, in September 2016. the 16 revised full papers presented together with 4 short papers and a keynote were carefully reviewed and selected from 48 submissions. the papers focus on the following topics: cross-cultural collaboration; learning support systems; social networking; rescue and health support; real and virtual collaboration.

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Experimental Gaming Analysis of ADMM Dynamic distributed Optimization Algorithm

Experimental Gaming Analysis of ADMM Dynamic Distributed Opt...

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

作者： Korgin, N. A. Korepanov, V. O. VA Trapeznikov Inst Control Sci 65 Profsoyuznaya St Moscow 117997 Russia Moscow Inst Phys & Technol Moscow 123182 Russia Skoltech Ctr Energy Syst Skolkovo Inst Sci & Technol Skolkovo Innovat Ctr 3 Nobel St Moscow 143026 Russia

Application of efficient distributed optimization algorithms in multi-agent systems designed for socio-economic problems demands additional conditions for algorithms to be satisfied. In particular. the algorithm should be incentive compatible. i.e., the model of behaviour of any agent should be in concordance with interests of a particular economic subject represented by this agent in system. On an example of the resource allocation problem we study incentive compatibility of the famous algorithm for dynamic distributed optimization the alternating direction method of multipliers (ADMM). (C) 2016, IFAC (international Federation of Automatic Control) Hosting by Elsevier Ltd. All rigths reserved.

关键词： Modelling simulation control and monitoring of manufacturing processes Social and behavioural sciences Control in organization Game theory Resource allocation dynamic distributed optimization

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Development and Research of Models of Organization Storages Based on the Software-Defined Infrastructure 39

Development and Research of Models of Organization Storages ...

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39th international conference on Telecommunications and Signal Processing (TSP)

作者： Bolodurina, Irina Parfenov, Denis Orenburg State Univ Dept Appl Math Orenburg Russia Orenburg State Univ Fac Distance Learning Technol Orenburg Russia

ISBN: (纸本)9781509012886

Data centers are widely used for the placement of highly loaded applications and solutions used for the processing of large data sets (BigData). For effective access to services, minimal response time of data storages is required. We explored a new paradigm in software-defined infrastructure distributed cloud systems. Also the design principles and high-level architectural design of the SD infrastructure controller are presented here. Modern applications and services needs constantly transforming infrastructure for ensuring consumer requirements (SLAs) amidst provider constraints (costs). this paper examines infrastructure in the context of platform for new applications and services and discussing some of the fundamental characteristics required of such infrastructure called software-defined infrastructure (SDI). We developed the models of the software-defined infrastructure. We performed an experiment to analyze the productivity of software-defined storage. Our experiment has shown that software-defined storage and scheduling algorithm in software-defined infrastructure placement can gain growth performance compared with the physical storage and virtual machines. this is necessary when storage systems work with high intensities requests.

关键词： cloud computing computing resources data center software-defined infrastructure software-defined networks software-defined storage

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Are 3rd parties slowing down the mobile web? 8

Are 3rd parties slowing down the mobile web?

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

作者： Goel, Utkarsh Steiner, Moritz Na, Wontaek Wittie, Mike P. Flack, Martin Ludin, Stephen Montana State University United States Akamai Technologies Inc. United States

ISBN: (纸本)9781450342551

Content Providers (CPs) such as Facebook, Google, and others desire that their websites attract large user bases and generate high revenue. As a result, CPs strive to develop attractive and interactive websites that keep users engaged. JavaScript libraries from Online Social Networks, advertisements, and user tracking beacons allow CPs to personalize webpages based on end-users' interests, while various CSS frameworks make websites aesthetically pleasing [7, 9]. Further, webpage analytic APIs and performance monitoring tools allow CPs to monitor the user-perceived performance with their websites [8, 11]. However, as CPs continue to evolve their websites with more and more attractive features the webpage load time (PLT) starts to increase, which results in poor user experience with their websites [5, 12, 27]. © 2016 ACM.

关键词： Social networking (online)

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Instance type selection in proactive horizontal auto-scaling 8

Instance type selection in proactive horizontal auto-scaling

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8th IEEE international conference on Cloud computing Technology and Science, CloudCom 2016

作者： Morais, Fabio Jorge Almeida Lopes, Raquel Brasileiro, Francisco Universidade Federal de Campina Grande Distributed System Laboratory Campina Grande PB Brazil

ISBN: (纸本)9781509014453

Horizontally scalable applications can potentially run very efficiently over IaaS environments. For that, application providers need to appropriately plan the resource capacity that is to be acquired from the cloud providers, such that, at any point in time, they allocate the smallest infrastructure that is needed to provide the required quality of service for their applications. Since the workload of these applications typically vary widely over time, proactive auto-scaling of the infrastructure is a must. In this paper, we study the impact that an efficient instance type selection based on demands of multidimensional resources has on the performance of proactive auto-scaling. this issue has been mostly overlooked in the related literature. Our results show that suitable selection of the most cost-effective instance type yields a potential cost saving of as much as 50% when compared to the case where the auto-scaling mechanism is oblivious to the instance type selection. We also show evidences that a large portion of applications can benefit of this selection. Finally, we propose a simple selection mechanism that can lead to reasonable cost savings at the expenses of a small number of SLO violations. © 2016 IEEE.

关键词： Quality of service

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Sentiment Analysis Based on Support Vector Machine and Big Data 39

Sentiment Analysis Based on Support Vector Machine and Big D...

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39th international conference on Telecommunications and Signal Processing (TSP)

作者： Povoda, Lukas Burget, Radim Dutta, Malay Kishore Brno Univ Technol Dept Telecommun Brno Czech Republic Amity Univ Amity Sch Engn & Technol Noida Uttar Pradesh India

ISBN: (纸本)9781509012886

this paper deals with sentiment analysis in text documents, especially text valence detection. the proposed solution is based on Support Vector Machines classifier. this classifier was trained with huge amount of data and complex word combinations were analysed. For this purpose distributed learning on 112 processors was used. Datasets used for training and testing were automatically obtained from real user feedback on products from different web pages (and different product segments). the proposed solution has been evaluated with different languages - English, German, Czech and Spanish. this paper improves accuracy achieved with the Big Data approach about 11%. the best accuracy achieved in this work was 95.31% for recognition of positive and negative text valence. the described learning is fully automatic, can be applied to any language and no complicated preprocessing is needed.

关键词： text valence classification emotion recognition text mining cluster computing

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Diffusion Bias-Compensated RLS Estimation with Quantized Measurements over Adaptive Networks

Diffusion Bias-Compensated RLS Estimation with Quantized Mea...

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

作者： Lou, Jian Jia, Lijuan Wang, Yuning Beijing Inst Technol Sch Informat & Elect Beijing 100081 Peoples R China

We study the problem of distributed bias-compensated recursive least-squares (BCRLS) estimation with quantized measurements, which means that the nodes in adaptive networks collaborate to estimate a common deterministic parameter using quantized data. Traditional recursive least (RLS) algorithms are biased when both the regressor and the output response are corrupted by stationary additive noise. And considering the limited bandwidth resources and the growing complexity in communication, the measurements transmitted in adaptive networks are always quantized in practical cases, which also contributes to the bias in estimation. therefore, a distributed bias-compensated RLS algorithm is proposed in this paper to estimate the bias caused by both the background noise and the quantization noise and compensate for it cooperatively. Meanwhile, considering the advantages of diffusion strategies, the algorithm is developed in a diffusion fashion. Simulation results illustrate the good performance of the proposed algorithm. (C) 2016, IEAC (international Federation of Automatic Control) Hosting, by Elsevier Ltd. All rights reserved.

关键词： distributed collaborative estimation bias compensation recursive least-squares diffusion strategies quantized measurements

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