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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461-470 订阅

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2021 IEEE 3rd international conference on Artificial Intelligence Circuits and systems. AICAS 2021

2021 IEEE 3rd International Conference on Artificial Intelli...

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3rd IEEE international conference on Artificial Intelligence Circuits and systems. AICAS 2021

ISBN: (纸本)9781665419130

The proceedings contain 84 papers. The topics discussed include: iELAS: an ELAS-based energy-efficient accelerator for real-time stereo matching on FPGA platform;performance of crossbar based long short term memory with aging memristors;online detection of vibration anomalies using balanced spiking neural networks;efficient digital implementation of n-mode tensor-matrix multiplication;end-to-end 100-TOPS/W inference with analog in-memory computing: are we there yet?;HPPU: an energy-efficient sparse DNN training processor with hybrid weight pruning;flexible-width bit-level compressor for convolutional neural network;a memristor model with concise window function for spiking brain-inspired computation;event-driven continuous-time feature extraction for ultralow-power audio keyword spotting;and energy-efficient deep reinforcement learning accelerator designs for mobile autonomous systems.

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Prospects for distributed generation development in the Russian Federation 3

Prospects for distributed generation development in the Russ...

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3rd international Youth conference on Radio Electronics, Electrical and Power Engineering, REEPE 2021

作者： Starkova, Anastasia Y. Chegodaev, Aleksandr A. Nasyrov, Rinat R. National Research University MPEI Electrical Power Systems Department Moscow Russia

ISBN: (纸本)9781728183985

Nowadays distributed energy is one of the breakthrough concepts for the development of the fuel and energy complex, however, there are some difficulties and risks for realizing some of its prospects. Thus, it is necessary to consider aspects of the implementation of distributed generation systems.in the Unified Energy System of Russia and in isolated energy systems.on its territory. The presented work is based on a comprehensive analysis of statistical data and events in connection with the development of distributed energy. Forecasting using dynamic indicators has also been used. © 2021 IEEE.

关键词： distributed power generation

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A Comprehensive Survey of Blockchain Technology-Trust as a Service

A Comprehensive Survey of Blockchain Technology-Trust as a S...

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Sentiment Analysis and Deep Learning (ICSADL), international conference on

作者： S. Esakki Muthu K. Kartheeban Dept. Of computer science and engineering Kalasalingam academy of research and education Srivilliputtur India

ISBN: (数字)9798350396157

ISBN: (纸本)9798350396164

In today's rapidly changing digital world, security and trust remain as an essential element supporting a range of communications, transactions, and distributed systems. With the invention of blockchain technology, a trust may now be provided as “Trust as a Service (TaaS),” a decentralized, verifiable, and essential asset rather than a centralized digital network. In a decentralized and distributed ledger network, the blocks are connected in chronological order, and information is saved using distributed ledger techniques. Since the start of the deployment, blockchain has kept a record of all transactions. This research study analyses the explores the blockchain technology and analyze how it functions as a trusted provider across a range of industries. Also, this study investigates the fundamental ideas behind blockchain, its development, and the cryptographic security systems. This research study illustrates how blockchain maintains confidence in data quality, security, transparency, and immutability across a range of applications, including banking, supply chain, healthcare, and governance. This study also emphasizes the difficulties and possibilities present in the rapidly developing blockchain ecosystem and further discusses about the issues and challenges and various blockchain attacks, solutions, and tools. Finally, the open issues and solutions are analysed.

关键词： Surveys Industries Deep learning Technological innovation Sentiment analysis distributed ledger Supply chains

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Research on distributed Photovoltaic Monitoring System Based on Internet of Things and Cloud computing

Research on Distributed Photovoltaic Monitoring System Based...

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Energy, Power and Electrical Technology (ICEPET), international conference on

作者： Huiling Qin Shuang Li Chengyu He Zhi Rao Di Gan China Southern Power Grid Company Limited Guangxi Power Grid Corporation Guangxi China China Southern Power Grid Company Limited Energy Development Research Institute Guangdong China

ISBN: (数字)9798350352658

ISBN: (纸本)9798350352665

Due to the depletion of fossil fuels globally and the rapid advancement of solar power generating technologies, solar power generation has increasingly emerged as a viable method for energy development. The concept of a distributed Photovoltaic Power System (DPPS) promotes the generation, connection to the grid, conversion, and utilisation of power in close proximity. This approach has the potential to significantly decrease the consumption of fossil fuels. Managing photovoltaic power stations is becoming challenging due to the proliferation of distributed solar power stations. This study proposes a distributed PV monitoring system that utilises the internet of things (IoT) and cloud computing. The system aims to achieve centralised management of several solar power stations. It offers cloud-based storage, data processing, and retrieval, and delivers a wide range of information to the client. A comprehensive explanation of the operational principles and execution procedure of the suggested plan is provided. This paper discusses a case study focused on achieving remote monitoring and control. In addition, the text explores the interconnected cycle of data generation, transmission, processing, and presentation.

关键词： Photovoltaic systems Economics Cloud computing Power supplies Data processing Fossil fuels Real-time systems

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3rd international conference on Machine Intelligence and Smart systems. MISS 2023

3rd International Conference on Machine Intelligence and Sma...

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3rd international conference on Machine Intelligence and Smart systems. MISS 2023

ISBN: (纸本)9783031317224

The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;systematic Review and Analysis of Artificial Intelligence-Based Breast Cancer Classification and Detection;war of Tweets: Sentiment Analysis on Ukraine Russia Conflict;Implementing HRRN for Evaluating Cloud Performance Using Reinforcement Learning;using Machine Learning for Prediction of Obstructions for Indoor Location systems.privacy Threats and Protection in Artificial Intelligence and Machine Learning;Combining Linguistic Information with BERT for Span Based End-to-End Aspect Based Sentiment Analysis;a Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking;effective Identification of Lung Diseases Using Few-Shot Learning;comparative Study on Classification Based-Data Mining Techniques in Early Diabetes Prediction;optimize Machine Learning Model for Sentiment Analysis of Online Education During Covid-19 Pandemic;review on the Challenges and Future Directions of Deep Learning-Based Techniques for Advance Prediction of Cardiac Attack;different Techniques for Detecting Plant Leaf Disease Using Machine Learning;proposed Framework of Extensive Humanoid Design Cycle and Recent Developments in Bipedal Walk;natural Language Processing for Waste Management Using Public Opinions in Smart Cities;prediction of Diabetes During Pregnancy Through Fog Environment;empirical Wavelet Transform Grounded Poignant Ground Target Recognition and Classification by Seismic Signal Processing;A Powered-Up Classification of Disabling distributed Network Cloud-Based Attacks Using MLPNN-BP and MLPNN-LM;stroke Prediction Framework Based on Missing Value Information and Outlier Detection by Using Machine Learning Techniques in E-Healthcare;magnetic Resonance Imaging Digitization for Brain Abnormality Recognition.

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21st RoEduNet conference: Networking in Education and Research, RoEduNet 2022 - proceedings

21st RoEduNet Conference: Networking in Education and Resear...

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21st RoEduNet conference on Networking in Education and Research, RoEduNet 2022

ISBN: (纸本)9781665455282

The proceedings contain 25 papers. The topics discussed include: symmetric multiprocessor support for Bhyve on Arm64;automation of network traffic monitoring using docker images of Snort3, Grafana and a custom API;honeypot generator using software defined networks and recursively defined topologies;web application for monitoring large-scale virtualized computing resources;network congestion solution for FTP services based on distributed firewall and snort;hiding cloud network access patterns for enhanced privacy;probability and attack graph models in contextual risk scoring system;increasing the security of web applications by using smartphones;and increasing communication security for Bluetooth medical devices in eHealth systems.

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3rd international conference on Machine Intelligence and Smart systems. MISS 2023

3rd International Conference on Machine Intelligence and Sma...

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3rd international conference on Machine Intelligence and Smart systems. MISS 2023

ISBN: (纸本)9783031691140

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Detection of Faulty Nodes in distributed Environment using Machine Learning 3

Detection of Faulty Nodes in Distributed Environment using M...

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

作者： Gaykar, Reshma S. Khanaa, V. Joshi, S.D. Bharath Institute of Higher Education and Research Department of Computer Science and Engineering Chennai India Bharath Institute of Higher Education and Research Information Center Chennai India Bharati Vidyapeeth University Faculty of Engineering and Technology Pune India

ISBN: (纸本)9781665438117

Faulty nodes are expected to have a significant effect on the performance of Big Data systems. The cause of discharges, on the other hand, is a complex issue. The previous work has mostly focused on identifying Stragglers, optimizing the quality of programming, and root cause investigation. These methods can't offer useful information unless they can assist users automate their services. We are developing a framework that determines when there will be stragglers and must identify gaps to prevent those circumstances. This research proposed a dynamic log collection of heterogeneous virtual machine data and detect the faulty node based on execution performance using various parameters. We introduce multi-task learning mechanisms in this paper, which exchange knowledge between the different versions of nodes. The system first collects log data from available data nodes and applies an unsupervised machine learning technique to detect the straggler. Moreover, once a straggler has been detected by the learning algorithm, it tries mitigating such nodes instead of eliminating those nodes. The major benefit of this research is that the system can handle massive data with minimum data nodes or even system efficiently work with already heated nodes in a distributed environment. Our compositions absorb the shared context in our data, enhancing sweeping statement efficiency on minimal data, unlike naive inter learning frameworks. © 2021 IEEE.

关键词： Balancing

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2021 3rd international conference on Blockchain computing and Applications, BCCA 2021

2021 3rd International Conference on Blockchain Computing an...

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3rd international conference on Blockchain computing and Applications, BCCA 2021

ISBN: (纸本)9781665421829

The proceedings contain 27 papers. The topics discussed include: blockchain based lateral transshipment;fast and secure consortium blockchains with lightweight block verifiers;mobile blockchain-empowered federated learning: current situation and further prospect;decentralized cross-blockchain asset transfers;security and standardization of a notary-based blockchain interoperability API;a survey of verification, validation and testing solutions for smart contracts;a distributed ledger based platform for automated energy performance assessment;a storage efficient blockchain model for constrained applications;interaction communities in blockchain online social media;and justifying the dependability and security of business-critical blockchain-based applications.

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Optimal Sizing and Allocation of distributed Energy Resources using Genetic Algorithms: Case study of the Northern-Benghazi Power

Optimal Sizing and Allocation of Distributed Energy Resource...

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Sciences and Techniques of Automatic Control and Computer Engineering MI-STA, IEEE international Maghreb Meeting of the conference on

作者： Noureddine Farag Farkash Ahmed Tahir Department of Electrical and Electronics Engineering University of Benghazi Benghazi Libya

The main target is to use genetic algorithms to calculate the optimal location and size of distributed Generation (DG) units for power distribution systems. The algorithm's flexibility allows engineers, electric utilities, and distribution network operators to efficiently integrate new DG units into their current distribution networks by making changes and modifications to locate the optimal DG unit and estimate its optimum size. The proposed method can also improve voltage profiles and reduce total real and reactive power losses. Tests conducted on a section of the Benghazi distribution system show that the decision-making algorithm has acceptable accuracy and is compared against results from NEPLAN software. With the increasing popularity of distributed energy systems.worldwide, this method provides solutions to many power system problems.

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