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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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A simplified interval type-2 fuzzy CMAC 17

A simplified interval type-2 fuzzy CMAC

引用

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

作者： Chang, Chia-Wen Xiao, Wen-Rong Hsiao, Chih-Ching Chen, Song-Shyong Tao, Chin-Wang Department of Information and Telecommunications Engineering Ming Chuan University Taiwan Department of Electrical Engineering National Ilan University Taiwan Department of Electrical Engineering Kau Yuan University Taiwan Department of Information Networking Technology Hsiu-Ping Institute of Technology Taiwan

ISBN: (纸本)9781509049172

this paper presents a simplified interval type-2 fuzzy CMAC controller which it can be seen as the combination of two type-1 fuzzy controller. the proposed controller modified CMAC architecture and simplified the interval type-2 fuzzy system to reduce computing complex and to have the optimal performance. Moreover, the problem of the synchronizing chaotic system is provided to demonstrate the effectiveness of the provided control scheme. Simulation results illustrate that the states of slave system can follow the state of the master system with the uncertainty and disturbance. © 2017 IEEE.

关键词： Chaotic systems

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Study of Solid State Drives performance in PROOF distributed analysis system

Study of Solid State Drives performance in PROOF distributed...

引用

17th international conference on computing in High Energy and Nuclear Physics (CHEP)

作者： Panitkin, S. Y. Ernst, M. Petkus, R. Rind, O. Wenaus, T. Brookhaven Natl Lab Upton NY 11973 USA

Solid State Drives (SSD) is a promising storage technology for High Energy Physics parallel analysis farms. Its combination of low random access time and relatively high read speed is very well suited for situations where multiple jobs concurrently access data located on the same drive. It also has lower energy consumption and higher vibration tolerance than Hard Disk Drive (HDD) which makes it an attractive choice in many applications raging from personal laptops to large analysis farms. the Parallel ROOT Facility-PROOF is a distributed analysis system which allows to exploit inherent event level parallelism of high energy physics data. PROOF is especially efficient together with distributed local storage systems like Xrootd, when data are distributed over computing nodes. In such an architecture the local disk subsystem I/O performance becomes a critical factor, especially when computing nodes use multi-core CPUs. We will discuss our experience with SSDs in PROOF environment. We will compare performance of HDD with SSD in I/O intensive analysis scenarios. In particular we will discuss PROOF system performance scaling with a number of simultaneously running analysis jobs.

关键词： Energy utilization

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NETWORK computing INFRASTRUCTURE TO SHARE TOOLS AND DATA IN GNEP

NETWORK COMPUTING INFRASTRUCTURE TO SHARE TOOLS AND DATA IN ...

引用

17th international conference on Nuclear Engineering

作者： Kim, Guehee Suzuki, Yoshio Teshima, Naoya Japan Atom Energy Agcy Ctr Computat Sci & E Syst Taito Ku Tokyo Japan

ISBN: (纸本)9780791843529

Network computing infrastructure for sharing tools and data was implemented to support international collaboration. In designing the system, we focused on three issues: accessibility, security, and usability. In the implementation, we integrated existing network and web technologies into the infrastructure by introducing the authentication gateway. For the first issue, SSL-VPN (Security Socket Layer Virtual Private Network) technology was adopted to access computing resources beyond firewalls. For the second issue, PKI (Public Key Infrastructure) -based authentication mechanism was used for access control. Shared key based file encryption was also used to protect against information leakage. the introduction of the authentication gateway enables to strengthen the security. To provide high usability, WebDAV (Web-based distributed Authoring and Versioning) was used to provide users with a function to manipulate distributed files through a windows-like GUI (Graphical User Interface). these functions were integrated into a Grid infrastructure called AEGIS (Atomic Energy Grid Infra Structure). Web applications were developed on the infrastructure for dynamic community creation and information sharing. In this paper, we discuss design issues of the system and report the implementation of a prototype applied to share information for the international project GNEP (Global Nuclear Energy Partnership).

关键词： Authentication

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A Blockchain-based Decentralized Data Storage and Access Framework for PingER 17

A Blockchain-based Decentralized Data Storage and Access Fra...

引用

17th IEEE international conference on Trust, Security and Privacy in computing and Communications (IEEE TrustCom) / 12th IEEE international conference on Big Data Science and Engineering (IEEE BigDataSE)

作者： Ali, Saqib Wang, Guojun White, Bebo Cottrell, Roger Leslie Guangzhou Univ Sch Comp Sci & Technol Guangzhou 510006 Guangdong Peoples R China Stanford Linear Accelerator Ctr POB 4349 Palo Alto CA 94309 USA Univ Agr Faisalabad Dept Comp Sci Faisalabad 38000 Pakistan

ISBN: (纸本)9781538643877

the blockchain is an innovative technology which opened doors to new applications for solving numerous problems in distributed environments. In this work, we design a blockchain-based data storage and access framework for PingER (worldwide end-to-end Internet performance measurement project) to remove its total dependence on a centralized repository. We use the permissioned blockchain and distributed Hash Tables (DHT) for this purpose. In the proposed framework, metadata of the files are stored on the blockchain whereas the actual files are stored off-chain through DHT at multiple locations using a peer-to-peer network of PingER Monitoring Agents. this will provide decentralized storage, distributed processing, and efficient lookup capabilities to the PingER framework.

关键词： Permissioned blockchain distributed ledger technology PingER Decentralized system

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A Revisit of Attestable Nodes for Networked Applications 22

A Revisit of Attestable Nodes for Networked Applications

引用

17th international conference on Availability, Reliability and Security (ARES)

作者： Schuepany, Mathias Pirker, Martin Univ Appl Sci St Polten Austria Univ Appl Sci Josef Ressel Ctr BLOCKCHAINS Inst IT Secur Res St Polten Austria

ISBN: (纸本)9781450396707

A core security (or trustworthiness) question for all designs of networked applications persists: If distributed nodes connect, are these nodes trustworthy? Is it possible to assess a node's software state before sharing data, programs and/or interacting with them? this paper revisits a scenario of assembling distributed, individual nodes for networked applications, such as data science compute nodes or bridge nodes connecting established applications to novel blockchain-related applications and their ecosystem. By taking advantage of special hardware support (Intel TXT), modern boot software that supports it (Trenchboot) and a custom attestation-before-joining protocol, we report on our prototype implementation how attestable nodes can be achieved today.

关键词： Trusted computing Attestation Linux Boot

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Online system identification based on a state-space neuro-fuzzy system 17

Online system identification based on a state-space neuro-fu...

引用

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

作者： Gil, Paulo Oliveira, Tiago Palma, L. Brito UNINOVA Monte de Caparica Portugal Electrical Engineering Department Faculty of Science and Technology Universidade NOVA de Lisboa Monte de Caparica Portugal CISUC - Centre for Informatics and Systems of the University of Coimbra Universidade de Coimbra Coimbra Portugal

ISBN: (纸本)9781509049172

In this paper a new general recurrent statespace Neuro-Fuzzy model structure based on the combination of a modified Jordan network and an Adaptive Neuro-Fuzzy Inference System is proposed. the Neural-Fuzzy System's online training relies on a Constrained Unscented Kalman Filter, where weights, rules, membership functions and consequents are recursively updated. Results from a benchmark MIMO system demonstrate the applicability and effectiveness of the proposed framework. © 2017 IEEE.

关键词： Membership functions

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Privacy Preserving Extraction of Fuzzy Rules from distributed Data with Different Attributes 7

Privacy Preserving Extraction of Fuzzy Rules from Distribute...

引用

Joint 7th international conference on Soft computing and intelligent Systems (SCIS) and 15th international Symposium on Advanced intelligent Systems (ISIS)

作者： Jiang, Jinsai Umano, Motohide Osaka Prefecture Univ Grad Sch Sci Dept Math & Informat Sci Naka Ku 1-1 Gakuen Cho Sakai Osaka 5998531 Japan

ISBN: (纸本)9781479959556

Data mining has emerged as a significant technology for discovering knowledge in vast quantities of data. It is, however, accompanied by the danger that private information will be revealed in the processing of data mining. Hence, privacy-preserving data mining has received a growing amount of attention in recent years. We have proposed a method to extract global fuzzy rules from distributed data with the same attributes in a privacy-preserving manner. this method transfers only values necessary for the extraction process without collecting any data at one place and can obtain the global fuzzy rules at all places. In this paper, we propose a method to extract global fuzzy rules in a privacy-preserving manner from distributed data with different attributes based on the method for distributed data with the same attributes. We illustrate a result for experiments using Iris data by R.A. Fisher.

关键词： data mining data privacy fuzzy set theory Iris data distributed data knowledge discovery privacy preserving fuzzy rule extraction privacy-preserving data mining Data privacy distributed databases Educational institutions Fuzzy sets Iris Servers

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Agent-based Plug and Produce Cyber-Physical Production System - Test Case 17

Agent-based Plug and Produce Cyber-Physical Production Syste...

引用

17th IEEE international conference on Industrial Informatics (INDIN)

作者： Rocha, Andre Dionisio Tripa, Joao Alemao, Duarte Peres, Ricardo Silva Barate, Jose Univ Nova Lisboa Fac Ciencias & Tecnol Dept Engn Electrotecn CTSUninova Caparica 2829516 Portugal

ISBN: (纸本)9781728129273

In the last years the utilization of Multiagent Systems to implement distributed control systems in industrial environments was presented as suitable and as a cost-effective solution to deal with the new requirements regarding flexibility and dynamism on the shop-floor. However, the proposed implementation of these distributed Cyber-Physical Production Systems faced some challenges regarding hardware and network requirements. Hence, the proposed work presents one utilization of a Multiagent-based distributed control system running on the fog level and running upon the edge level. this research presents a test and assessment of running intelligent agents outside the edge level but at the same time avoid the deployment of the industrial agents on the cloud level due to time and performance constraints. the proposed test presents a Multiagent architecture responsible for controlling the shopfloor, but the overall architecture was designed to accommodate the agents on the fog level, running upon the edge level composed by industrial controllers running Device Profile Web Services.

关键词： Multiagent System Cyber-Physical Production Systems DPWS Plug and Produce Fog computing

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Harmonia: Accurate Federated Learning with All-Inclusive Dataset 17

Harmonia: Accurate Federated Learning with All-Inclusive Dat...

引用

IEEE 17th international conference on Cloud computing (IEEE CLOUD)

作者： Choi, Wonmi Ahn, Juyoung Yoo, Yeonho Yoo, Chuck Yang, Gyeongsik Korea Univ Dept Comp Sci & Engn Seoul South Korea

ISBN: (纸本)9798350368543;9798350368536

Federated learning (FL) is an appealing model training technique that utilizes heterogeneous datasets and user devices, ensuring user data privacy. Existing FL research proposed device selection schemes to balance the computing speeds of devices. However, we observe that these schemes compromise prediction accuracy by similar to 57.7%. To solve this problem, we present Harmonia that enhances prediction accuracy, while also balancing the diverse computing speeds of devices. Our evaluation shows that Harmonia improves prediction accuracy by similar to 1.7x over existing schemes.

关键词： Federated Learning Data Privacy distributed Machine Learning Collaborative Learning Client Selection

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Accelerating distributed training in heterogeneous clusters via a straggler-aware parameter server 21

Accelerating distributed training in heterogeneous clusters ...

引用

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： Yu, Huihuang Zhu, Zongwei Chen, Xianglan Cheng, Yuming Hu, Yahui Li, Xi University of Science and Technology of China Hefei China

ISBN: (纸本)9781728120584

Different from homogeneous clusters, when distributed training is performed in heterogeneous clusters, there will be great performance degradation due to the effect of stragglers. Instead of the synchronous stochastic optimization commonly used in homogeneous clusters, we choose an asynchronous approach, which does not require waiting for stragglers but has the problem of using stale parameters. To solve this problem, we design a straggler-aware parameter server (SaPS), which can detect stragglers through the version of parameters and mitigate their effect by a coordinator which can limit the staleness of parameters without waiting for stragglers. Experimental results show that SaPS can converge faster than fully synchronous, fully asynchronous and some SGD variants. © 2019 IEEE.

关键词： Optimization

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