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检索条件"任意字段=Proceedings - 3rd International Conference on Distributed Computing Systems."

共 4395 条记录，以下是531-540 订阅

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Parallel distributed implementation of neuroevolution of augmenting topologies in continuous control tasks 3

Parallel distributed implementation of neuroevolution of aug...

引用

3rd IEEE international conference on Advanced Trends in Information Theory, ATIT 2021

作者： Achour, illia Doroshenko, Anatoliy information Systems and Technologies Department National Technical University of Ukraine "igor Sikorsky Kyiv Polytechnic institute" Kyiv Ukraine

ISBN: (纸本)9781665438452

This paper proposes a novel distributed implementation of neuroevolution of augmenting topologies method, which, considering the availability of sufficient computational resources, allows drastically speed up the process of optimal neural network configuration search. The proposed solution includes batch genome evaluation for the purpose of performance optimization, fair, and even computational resources usage. The benchmarking shows that the generated neural networks evaluation process can give orders of magnitude increase of efficiency on the demonstrated continuous control task and computational environment. © 2021 iEEE.

关键词： Reinforcement learning

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distributed Generation Based Design of Prescribed Degree Robust Wide Area Damping Controller for Inter-Area Oscillations in Power systems

Distributed Generation Based Design of Prescribed Degree Rob...

引用

Smart Technologies for Power, Energy and Control (STPEC), IEEE international conference on

作者： Abhineet Prakash Priyesh Saini S. K. Parida Department of Electrical Engineering Indian Institute of Technology Patna India

Due to amalgamation of large-scale distributed generations (DGs), low frequency oscillation (LFO) becomes the primary concern in power systems. Therefore, it becomes paramount to design wide area damping controller (WADC) to provide sufficient damping to LFO modes. To design WADC, the availability of all the states is required. However, practical power grid is similar to black-box system and to design such controllers, reconstruction of all the states is necessary. In this effort, an observer based prescribed degree robust WADC is proposed for DG integrated system to damp the critical LFO modes. Furthermore, the WADC parameters are tuned by Nyquist robustness assessment and loop transfer recovery (LTR). Geometric approach is utilized to find the suitable control location in DG system and wide-area signals. The efficacy of proposed WADC is demonstrated on a complex 16-machine, 68bus system, and its performance is also compared to conventional optimal control method. From the simulation results, it is evident that the proposed WADC for DG furnishes enhanced damping towards critical modes for broad operating scenarios.

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Toward Enhancing 6G Security and Resilience with Blockchain: A Case Study on Mitigating SUCI Replay Attacks

Toward Enhancing 6G Security and Resilience with Blockchain:...

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IEEE international conference on Consumer Electronics (ICCE)

作者： Ilsun You Hoseok Kwon dept. Financial Information Security Kookmin University Seoul Republic of Korea

ISBN: (数字)9798331521165

ISBN: (纸本)9798331521172

Security/resilience is one of the four overarching aspects of 6G requirements. To enhance resilience, one potential technology that can be integrated into the network is blockchain. By leveraging synchronized and distributed peers participating in the blockchain network, blockchain technology mitigates single points of failure and provides enhanced resilience. To demonstrate the potential application of blockchain in 6G networks, we analyzed the SUCI(Subscription Concealed Identifier) replay attack reported by the 3GPP(3rd Generation Partnership Project) and proposed a blockchain-based solution to address this issue. Using an open-source 5G project, we implemented and tested the feasibility of integrating blockchain into the network, showcasing its potential to enhance security and resilience in next-generation communication systems.

关键词： 6G mobile communication 5G mobile communication Smart contracts Network security Blockchains 3GPP Synchronization Next generation networking Consumer electronics Resilience

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Performance Analysis of Parallel Virtual Machine in Solving Large-Scale Multi-dimensional Problems 3rd

Performance Analysis of Parallel Virtual Machine in Solving ...

引用

3rd international conference on Control, Instrumentation and Mechatronics Engineering, CIM 2022

作者： Bharun, Nur Fariha Alias, Norma Ismail, Fatimah Sham Saipan, Hafizah Farhah Suardi, Muhammad Syahid Faculty of Science Universiti Teknologi Malaysia Johor Bahru Malaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru Malaysia Malaysia Japan International Institute of Technology Universiti Teknologi Malaysia Jalan Sultan Yahya Petra Kuala Lumpur Malaysia

ISBN: (纸本)9789811939228

MATLAB distributed computing Server (MDCS) and Parallel Virtual Machine (PVM) software are two types of distributed computing environments. MDCS is recently used in selecting the best network training algorithm and assessing the effect of parallelization. Since it is practical and user friendly, it gives PVM the opportunity to become the communication paradigm of choice. The PVM provides a powerful set of process control and dynamic resource management features. In the distributed parallel computing (DPC), however, both solutions have different strengths and limitations. Based on these concerns, this paper compares the numerical analysis for mathematical modeling of large sparse 2D and 3D of second order parabolic partial differential equations (PDE) on MDCS and PVM based on parallel performance indicators (PPI). The PDE geometry is discretized into a sparse grid structure using the FDM method. In using a method with the highest accuracy, Parallel Alternating Group Explicit (PAGE) scheme was chosen. The parallel strategies focus on the PAGE's convergence speed and various domain de-composition techniques, as well as a block iterative scheme and load balance using fine granular techniques. Furthermore, comparison of distributed computing environments also relies on multiple processors running on Unix-like operating systems.with Fedora installed to support large-scale simulations. The analysis and validation of PPI for both communication software is also investigated in this paper. For a sequential algorithm, accuracy, estimation of error, and stability are employed as indicators. As a conclusion, based on the PPI and numerical analysis, the tables and graphs show that compared to MDCS, PVM is a better environment for solving multidimensional parabolic PDE modeling. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： MATLAB

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3rd IEEE international conference on Design and Test of Integrated Micro and Nano-systems. DTS 2021

3rd IEEE International Conference on Design and Test of Inte...

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3rd IEEE international conference on Design and Test of Integrated Micro and Nano-systems. DTS 2021

ISBN: (纸本)9780738132631

The proceedings contain 37 papers. The topics discussed include: development of graphene oxide-based fluorescent sensing nanoplatform for microRNA-10b detection;memristor models for synapse component;a low-power high-gain inverter stacking amplifier with rail-to-rail output;power side channel attack of AES FPGA implementation with experimental results using full keys;optimization of CNN model for image classification;electrothermal RRAM crossbar improvement with 3-D CRS and 1D1R-1R1D architectures;classification and identification of Alzheimer disease with fuzzy logic method;and novel capacitive MEMS logic gates for logic circuits and systems.

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Recommender systems.in E-commerce and their Challenges 3

Recommender Systems in E-commerce and their Challenges

引用

3rd international conference on Advances in computing, Communication Control and Networking, ICAC3N 2021

作者： Rawat, Srishti Tyagi, Unnati Singhal, Shefali Manav Rachna International Institute of Research and Studies Faculty of Engineering and Technology New Delhi India

ISBN: (纸本)9781665438117

With the advancement in technology and the usage of internet, everything is just a click away from purchasing. It can be online shopping, banking, communicating or even watching movies. Many large e-commerce websites like Amazon and Netflix have already incorporated recommender systems.to increase their sales. The competition for providing the best products and services is evident between e-commerce websites. In this paper we have discussed about the common recommendation techniques that are being used in the electronic commerce industry to help customize recommendations. We also discuss ways in which the recommender system enhances the e-commerce business. The paper has also thrown light on the prominent issues and challenges the system faces which includes sparsity and latency. It also proposes areas in which the recommender system needs to be improved so as to give optimal suggestions and tackle with the problems of future. © 2021 IEEE.

关键词： Recommender systems

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An Efficient Active Learning based Method for Deepfake Vidoes Model Attribution

An Efficient Active Learning based Method for Deepfake Vidoe...

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Digital Society and Intelligent systems.(DSInS), international conference on

作者： Xiaotian Si Weiqiang Jiang Linghui Li Xiaoyong Li Kaiguo Yuan Zhongyuan Guo Key Laboratory of Trustworthy Distributed Computing and Service (MoE) Beijing University of Posts and Telecommunications Beijing China Chine Mobile Group Co. Ltd Beijing China

To enhance the forensic investigation of deepfake face-swap videos, it is essential to attribute the specific generation model used to create these videos. Despite the remarkable progress made in data-driven approaches, recent algorithms continue to encounter challenges in learning from limited annotated data, thereby limiting their performance. In this paper, we present a novel active learning framework for the model attribution of deepfake videos. Specifically, our approach leverages active learning to select the most informative videos, thereby effectively reducing the annotation effort. To achieve this, we propose a query function based on clustering, where the clustering features are generated by a projection network trained through supervised contrastive learning. Extensive experiments demonstrate that our method achieves state-of-the-art performance in model attribution of deepfake videos, surpassing other baseline methods in the field of active learning.

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Survey on deadlocks in distributed database systems 3

Survey on deadlocks in distributed database systems

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3rd international conference on Intelligent Communication Technologies and Virtual Mobile Networks, ICICV 2021

作者： Bhavani, Y. Kumar, K. Praveen Dharmateja, K. Pranathi, P. Sowmya, R. Kakatiya Institute of Technology Science Dept. of IT Warangal India

ISBN: (纸本)9780738111834

In distributed Database System (DBS) and multitasking system, the occurrence of deadlocks is one of the most serious problems. If a site request for a resource that is already in the another site which is waiting for another resource then the scenario is called as distributed deadlock. Different distributed environments require a suitable deadlock detection algorithm to detect deadlocks. Different distributed environments needs to maintain their platforms by avoiding deadlocks. To achieve this environment, it is required to fed with optimized deadlock detection and avoidance algorithms. In this article, different deadlock detection algorithms that uses Wait For Graph and resolution algorithms to trace out deadlocks were discussed. An optimization technique is used for resolving deadlock in an efficient manner. A comparison between different deadlock detection algorithms based on different parameters like, delay time, message size, number of messages and whether the algorithm detects false deadlocks or not were performed. Based on the comparisons, a few deadlock detection algorithms were suggested for the distributed environment. © 2021 IEEE.

关键词： distributed database systems

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proceedings - 2021 IEEE 3rd international conference on Cognitive Machine Intelligence, CogMI 2021

Proceedings - 2021 IEEE 3rd International Conference on Cogn...

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3rd IEEE international conference on Cognitive Machine Intelligence, CogMI 2021

ISBN: (纸本)9781665416214

The proceedings contain 34 papers. The topics discussed include: classification and authentication of mineral water samples using electronic tongue and deep neural networks;impact patterns of combining model pruning and continual learning on model performance;boosting synthetic data generation with effective nonlinear causal discovery;artificial intelligence trends and future scenarios: relations between statistics and opinions;classification of human emotions using ensemble classifier by analyzing EEG signals;a modular approach to building solar energetic particle event forecasting systems.towards a trustworthy, secure and reliable enclave for machine learning in a hospital setting: the Essen medical computing platform (EMCP);and on the design of medical data ecosystem for improving healthcare research and commercial incentive.

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Optimizing Large Scale Ontology Alignment to Establish Interoperability for Efficient Retrieval

Optimizing Large Scale Ontology Alignment to Establish Inter...

引用

Disruptive Technologies (ICDT), international conference on

作者： Usha Yadav Gyanendra Kumar National Institute of Fashion Technology Bengaluru Karnataka Manipal University Jaipur Jaipur Rajasthan

ISBN: (数字)9798331519582

ISBN: (纸本)9798331519599

The Semantic Web is aiming to add meaning and structure to the vast amount of data available online. It aims to make information machine-readable and interpret, unlike traditional web pages that are designed for human consumption. The increase in adoption of semantic web technologies resulted in the generation of vast number of ontologies with varying size and heterogeneity. The efficient ontology matching system to align the large number of ontologies is extremely required to allow interoperability in cross domain. Although there are various ontology matching systems.available which could handle matching small ontologies but when it comes to matching large scale ontologies, high computational and space requirements is always a challenge. In this paper, an ontologies matching system is proposed which partition the large-scale healthcare ontologies in parallel using base level ontology partitioning method and the similarity between the entities are computed using Adjustment similarity computation method. However, the alignment discovery process demands high computational requirement, therefore in this proposed system, the distributed and parallel approach of Map Reduce technique is used to make system more scalable and efficient.

关键词： Semantic Web Accuracy Scalability Memory management Web pages Medical services Ontologies distributed computing Disruptive technologies Interoperability

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