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检索条件"任意字段=17th International Conference on Distributed Computing and Intelligent Technology"

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Using distributed Ledger technology for Shareholder Rights Management Extended Abstract 17

Using Distributed Ledger Technology for Shareholder Rights M...

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17th international conference on Autonomous Agents and MultiAgent Systems (AAMAS)

作者： Kotsialou, Grammateia Riley, Luke Dhillon, Amrita Mahmoodi, Toktam McBurney, Peter Massey, Paul Pearce, Richard Kings Coll London London England Crowdcube London England

ISBN: (纸本)9781450356497

We study and develop an automated platform for shareholder rights management using distributed Ledger technology (DLT), in collaboration with an equity crowdfunding company. DLT has high impact potential for the multi-agent systems domain, as it allows participants to agree on the values of shared variables and keep a history of how the values change over time. DLT also enables participants to know that the shared values are common knowledge. In our application, the shared variables that the agents agree on are the shareholder rights. Knowing that there is common agreement on these rights allows us to develop related applications, such as a shareholder voting system. In this paper, we discuss the shareholder rights management platform and briefly mention a related shareholder voting system, both currently under development.

关键词： distributed Ledger technology Blockchain Shareholder Rights

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Attribute-Based Encryption and Its Application to a Software-distributed Shared Memory 17

Attribute-Based Encryption and Its Application to a Software...

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17th international Joint conference on E-Business and Telecommunications (SECRYPT)

作者： Stan, Oana Cudennec, Loic Syoen, Louis CEA LIST PC 172 F-91191 Gif Sur Yvette France DGA MI Dept Artificial Intelligence BP 7 F-35998 Rennes Armees France

ISBN: (纸本)9789897584466

Due to the widespread of cloud computing, there is an increasing interest in distributed systems as well as in data privacy and security. However, unlike the multi-core processors and NUMA architectures, the distributed Shared Memory (DSM) systems do not benefit from the numerous works on security and privacy. We argue here that their potential deployment onto distributed heterogeneous systems requires new approaches to securely manage access to shared data. In this paper we propose to rely on the Attribute-Based Encryption (ABE) techniques to tackle the problem of data security within the Software DSM. Moreover, this approach allowing to directly store encrypted data within the DSM and to manage the access control to these data is made transparent for the user. the implementation over an in-house S-DSM using libbswabe, an ABE library, shows that, as expected, the overhead is significant, but that it can also be adapted to the application requirements as a trade-off between security and performance.

关键词： distributed Shared Memory Attribute-Based Encryption

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Towards a programming language for Services computing 08

Towards a programming language for Services Computing

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17th international conference on World Wide Web 2008, WWW'08

作者： Kumar, Arun Janakiram, D. IBM India Research Laboratory 4 Institutional Area Vasant Kunj New Delhi 110070 India Dept. of Comp. Sc. and Engg. Indian Institute of Technology Madras Chennai-600036 Tamil Nadu India

ISBN: (纸本)9781605580852

Services computing is emerging as a new discipline. the acceptance of web services technology stems from the fact that services enable easy integration and interoperation of enterprise level distributed systems. However, currently software developers are forced to translate business level service requirements and encode them into programs using low level abstractions such as objects. We propose to introduce language constructs for Service Oriented Programming that would enable raising programming abstractions from objects to services.

关键词： Abstracting

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Amalgamation of Fog computing and Software Defined Networking in Healthcare 4.0: the Challenges, and a Way Forward 17

Amalgamation of Fog Computing and Software Defined Networkin...

引用

17th international Joint conference on e-Business and Telecommunications (ICE-B)

作者： Shah, Khushi Obaidat, Mohammad Modi, Preet Bhatia, Jitendra Tanwar, Sudeep Sadoun, Balqies Gujarat Technol Univ Vishwakarma Govt Engn Coll Ahmadabad Gujarat India Univ Sharjah Coll Comp & Informat Sharjah U Arab Emirates Univ Jordan KAIST Amman Jordan Univ Sci & Technol Beijing Beijing Peoples R China Nirma Univ Inst Technol Dept CSE Ahmadabad Gujarat India Al Balqa Appl Univ Coll Engn Al Salt Jordan

ISBN: (纸本)9789897584473

Rapid recent advances in automated data collection routines have led to a tsunami of health care oriented data stored in the distributed, heterogeneous, and a large databases. Healthcare is one of the pioneering fields that has started using Machine Learning (ML) and IoT (Internet of things) for increasing life expectancies and decreasing death risks. Since then, major improvements are being witnessed for achieving real-time results and decreasing latency. this work attempts to provide an extensive and objective walkthrough in the direction of adoption of fog computing and software defined networking (SDN) framework for a huge data processing in healthcare domain. Both of these technologies, holds a great promise for the healthcare industry. In this paper, first of all, we survey various communication technologies involved in heathcare and also discuss the need of data processing and its security. Finally, we conclude with future research issues and challenges in this domain.

关键词： Healthcare Cloud computing Fog computing Software Defined Networking

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IFSA-SCIS 2017 - Joint 17th World Congress of international Fuzzy Systems Association and 9th international conference on Soft computing and intelligent Systems

IFSA-SCIS 2017 - Joint 17th World Congress of International ...

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17th Joint World Congress of international Fuzzy Systems Association and 9th international conference on Soft computing and intelligent Systems, IFSA-SCIS 2017

ISBN: (纸本)9781509049172

the proceedings contain 150 papers. the topics discussed include: tectogrammatical trees and fuzzy natural logic in linguistic characterization of dynamic processes;using automatic speech processing to analyze fundamental frequency of child-directed speech stored in a very large audio corpus;bilevel linear programming with lower-level fuzzy objective function;which material design is possible under additive manufacturing: a fuzzy approach;fuzzy echo state network for heartbeat detection using ultrasensitive vibration sensor;a study on document classification using multiple distributed representations;the role of betweenness relations, monometrics and penalty functions in data aggregation;reflective multi-agent model using semantic similarity measure and negotiation protocol for solving heterogeneity;fuzzy wall-following control of a wheelchair;the difference between the formulations of possibilistic robust regression model;on residuated lattice based fuzzy variable precision f-transform;motion planning and control of a picture-based drawing robot system;which players will leave their community? predicting guild abandonments in World of Warcraft game data;and intelligent control for a dynamically stable two-wheel mobile manipulator.

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Building Collaborative Environments for Advanced computing 17

Building Collaborative Environments for Advanced Computing

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17th international conference on Parallel and distributed computing Systems, PDCS 2004

作者： Lewis, Gareth J. Hasan, S. Mehmood Alexandrov, Vassil N. Advanced Computing and Emerging Technologies Centre School of Systems Engineering University of Reading Whiteknights P.O. Box 225 ReadingRG6 6AY United Kingdom

ISBN: (纸本)9781618398185

Synchronous collaborative systems allow geographically distributed users to form a virtual work environment enabling cooperation between peers and enriching the human interaction. the technology facilitating this interaction has been studied for several years and various solutions can be found at present. In this paper, we discuss our experiences with one such widely adopted technology, namely the Access Grid [1]. We describe our experiences with using this technology, identify key problem areas and propose our solution to tackle these issues appropriately. Moreover, we propose the integration of Access Grid with an Application Sharing tool, developed by the authors. Our approach allows these integrated tools to utilise the enhanced features provided by our underlying dynamic transport layer. © (2004) by the international Society for Computers and their Applications All rights reserved.

关键词： Virtual reality

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Research on Image Fractal Compression Coding Algorithm Based on Gene Expression Programming 17

Research on Image Fractal Compression Coding Algorithm Based...

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17th international Symposium on distributed computing and Applications for Business Engineering and Science (DCABES)

作者： Li, Wenjing Pan, Qiuxia Lu, Jianbo Li, Songzhao Guangxi Teachers Educ Univ Sch Logist Management & Engn Nanning Peoples R China Guangxi Teachers Educ Univ Coll Comp & Informat Engn Nanning Peoples R China

ISBN: (纸本)9781538674451

A kind of image fractal compression coding algorithm based on Gene expression programming is put forward to deal with such problems as low image compression rate and slow image fractal compression coding speed. Firstly, the sub-block division is conducted on the original image and its relative gradient image with Image Adaptive Quadtree Segmentation methods according to the characteristics of self-similarity of original image and its relative gradient image;Secondly, the solution process of relative gradient image fractal compression coding and the action mechanism of Gene expression programming in compression encoding is analyzed theoretically. the expression methods of gene and chromosome of image fractal compression coding. Experimental results show that if the relative gradient and gene expression programming are applied in image fractal compression coding in a combined way, the global optimization ability will be stronger, the speed of searching optimal solution will be about 2 times faster than the genetic algorithm and the image compression rate will be higher.

关键词： Adaptive segmentation Gene expression programming Image compression Fractal encoding intelligent Algorithm

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A Linguistic Representation Method for Kansei Data 8

A Linguistic Representation Method for Kansei Data

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8th Joint international conference on Soft computing and intelligent Systems and 17th international Symposium on Advanced intelligent Systems, SCIS-ISIS 2016

作者： Chanyachatchawan, Sapa Yan, Hong-Bin Sriboonchitta, Songsak Huynh, Van-Nam Japan Advanced Institute of Science and Technology Ishikawa923-1292 Japan Sirindhorn International Institute of Technology Pathum Thani12000 Thailand School of Business East China University of Science and Technology Shanghai China Centre of Excellence in Econometrics Faculty of Economics Chiang Mai University Thailand

ISBN: (纸本)9781467390415

this paper proposes a linguistic representation method of kansei data for evaluation of traditional products. Basically, the proposed approach is based on the linguistic interpretation of kansei data and the probabilistic semantics of fuzzy sets. We first interpret a semantic differential scale used in kansei experiment as a linguistic variable and then discuss how the kansei value of products can be represented as a probability distribution on the set of kansei linguistic labels of the linguistic variable. We have also extended this kansei data modelling approach to the cases where the kansei value is imprecisely given as an interval or a fuzzy number. An example for modelling kansei data of Kutani cups is used to illustrate the proposed method. © 2016 IEEE.

关键词： Fuzzy sets

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A latency-sensitive elastic adaptive scheduling in distributed stream computing systems 21

A latency-sensitive elastic adaptive scheduling in distribut...

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21st IEEE international conference on High Performance computing and Communications, 17th IEEE international conference on Smart City and 5th IEEE international conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

作者： He, Hanyu Sun, Dawei Yan, Hongbin Gao, Shang School of Science China University of Geosciences Beijing100083 China School of Information Engineering China University of Geosciences Beijing100083 China School of Information Technology Deakin University Waurn PondsVIC3216 Australia

ISBN: (纸本)9781728120584

With the massive growth of big data applications, the requirement for data processing speed is getting higher and higher in stream computing systems. the Storm, as one of the most popular distributed stream computing systems, has received more attention. However, the Storm's traditional scheduling strategy is not ideal for processing a large volume of streaming data. the resource scheduling in a distributed stream computing system should consider not only node allocation status but also fluctuating input rates of data stream. To address this problem, this paper has completed the following work: (1) A performance model La-Stream (latency-sensitive elastic adaptive scheduling) is proposed and built by adopting a quantitative method for calculating the amount of computation required between task map nodes and node communication. (2) A La-Stream based algorithm is proposed. the algorithm dynamically plans a resource allocation scheme with minimal data processing latency among available resources to achieve optimal allocation. (3) three functional modules of La-steam are proposed and implemented: module Monitor, module Optimizer and module Scheduler. the three modules are integrated into the Storm platform with minimal overhead. Several sets of experiments are conducted, verifying the feasibility and effectiveness of La-Stream. © 2019 IEEE.

关键词： Storms

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17th international conference on Innovations for Community Services, I4CS 2017

17th International Conference on Innovations for Community S...

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17th international conference on Innovations for Community Services, I4CS 2017

ISBN: (纸本)9783319604466

the proceedings contain 14 papers. the special focus in this conference is on Innovations for Community Services. the topics include: Extracting Wikipedia data to enrich spatial information;towards the automatic sentiment analysis of German news and forum documents;concept of observer to detect special cases in a multidimensional dataset;an extended tester for cooperative intelligent transport systems;on a fog computing platform built on ARM architectures by docker container technology;finding the intersection points of networks;distributed network infrastructure for community services in the framework of next generation mobile networks;constrained wireless network planning;multi objective approach for tactical capacity management of distributed generation;DP and RL approach optimization for embedded system communications with energy harvesting;smart screen system for smart buildings made of tablets and a realistic location service for VANETs.

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