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检索条件"任意字段=6th International Conference on Distributed Computing and Internet Technology"

共 8755 条记录，以下是171-180 订阅

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Real-Time Monitoring of Fitness Exercise Heart Rate Based on Shared Storage and Embedded Motion Recognition technology

Real-Time Monitoring of Fitness Exercise Heart Rate Based on...

引用

6th international conference on computing Methodologies and Communication, ICCMC 2022

作者： Qi, Dapeng Shanghai Sipo Polytechnic Shanghai 201300 China

ISBN: (纸本)9781665410281

the real-time heart rate value can reflect a person's heart activity ability at that time, and then measure the health of the human body from the side. this article is based on shared storage and distributed cloud computing for big data mining and analysis, real-time heart rate analysis of fitness athletes, measuring the attenuated light reflected and absorbed by human blood vessels and tissues, and using embedded motion recognition to study the capture of fitness movements with heart rate detection. To trace the pulsation state of the blood vessel and measure the pulse wave. the easy-to-wear measuring device has gradually become the main method for measuring blood oxygen, pulse and heart rate under non-hospital conditions. © 2022 IEEE.

关键词： distributed cloud

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A Review of Features, Vulnerabilities, Cyber-Attacks and Protective Actions in Smart Grid Systems 6

A Review of Features, Vulnerabilities, Cyber-Attacks and Pro...

引用

6th IEEE international Electrical and Energy conference, CIEEC 2023

作者： Zhong, Yongjie Wang, Zidong Li, Jingxia Fan, Zhongming Ji, Ling Chen, Kai Nanjing Sac Power Grid Automation Co. Ltd. Nanjing211153 China

ISBN: (纸本)9798350346671

the future power system will be an innovative administration of existing power grids, which is called smart grid. Above all, the application of advanced communication and computing tools is going to significantly improve the productivity and consistency of smart grid systems with renewable energy resources. Together with the topographies of the smart grid, cyber security appears as a serious concern since a huge number of automatic devices are linked through communication networks. Cyber-attacks on these devices have a direct influence on the reliability of extensive infrastructure of the power system. In this survey, several published works related to smart grid systems, features, requirements, main constituents, vulnerabilities, potential intentional attacks, and suggested countermeasures for these threats have been investigated. © 2023 IEEE.

关键词： distributed power generation

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Survey of the Application of Privacy computing technology in the Electric-power Industry 6

Survey of the Application of Privacy Computing Technology in...

引用

6th IEEE international conference on Electronics and Communication Engineering, ICECE 2023

作者： Sun, Junfang Gou, Xiaokan State Grid Qinghai Information & Telecommunication Company Xining China State Grid Qinghai Electric Power Company Xining China

ISBN: (纸本)9798350328721

With the advent of the internet and big data era, the value of data is becoming increasingly significant and plays an increasingly important role in various fields. However, it also brings various problems, including data privacy and security. the power industry has collected and stored massive amounts of electricity data. It is particularly urgent to solve the contradiction between the security privacy protection and data sharing of these power big data, and realize the goal that the original data will not be exported, but the data "value"and "knowledge"will be exported. this paper sort out the application of privacy computing technology in the power industry through domestic and foreign literature surveys. this paper analyzes in detail how Secure multi-party computation, Federated learning, Trusted execution environment and other privacy computing technologies can solve the problem of sensitive data and privacy data protection in data sharing in the power industry. On this basis, a privacy protection framework suitable for the power industry based on privacy computing technology is proposed. then, the impact of privacy computing technology on the power industry was summarized, as well as some challenges that may be encountered during implementation. At the end of the article, potential research directions and technological applications were pointed out, hoping to promote the development of privacy protection in the power industry. © 2023 IEEE.

关键词： Sensitive data

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Analysis of internet of things encrypted data based on cloud computing platform 6

Analysis of Internet of Things encrypted data based on cloud...

引用

6th international conference on Intelligent computing, Communication, and Devices, ICCD 2023

作者： Yin, Jian Zhang, Chun Zheng, Congyi Guangdong Weide Information Technology Co. Ltd Guangdong Guangzhou51000 China

ISBN: (数字)9781510666269

ISBN: (纸本)9781510666252

the research of IOT (internet of things) technology is the product of the continuous development of the information age. the impact of IOT technology on human production and life is gradually increasing, and IOT encrypted data based on cloud computing platform is also gradually popular. Because ECS is not completely trusted, cloud tenants will face the risk of sensitive data leakage while enjoying convenient data services. In the development history of IOT technology, cloud computing plays an important role. As a large-scale computing method, cloud computing has super data processing capacity, and can complete data scheduling in real time, effectively accelerate data computing speed. It has high development potential. the analysis of IOT encrypted data on the cloud computing platform has become the basic technology for feature extraction and data mining of big data information. the experimental results in this paper can prove that the method in this paper has better key splitting effect and higher key flexibility, which can realize the random splitting of IOT keys, improve the ability of data to resist external attacks, and ensure data security. It is of great practical value to realize the open source IOT encrypted data platform based on the current cloud computing technology, and it also has great significance to promote the development of IOT technology. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： internet of things

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Edge computing Empowered Digital Twin: An End-to-End computing Task Scheduling Approach 20

Edge Computing Empowered Digital Twin: An End-to-End Computi...

引用

IEEE 20th international conference on Automation Science and Engineering (CASE)

作者： Zhong, Ruirui Feng, Yixiong Song, Xiuju Hu, Bingtao Wang, Yong Li, Puyan Tan, Jianrong Zhejiang Univ State Key Lab Fluid Power & Mechatron Syst Hangzhou 310027 Peoples R China Guizhou Univ State Key Lab Publ Big Data Guiyang 550025 Peoples R China Hangzhou Dianzi Univ Key Lab Discrete Ind Internet Things Zhejiang Pro Hangzhou 310018 Peoples R China

ISBN: (纸本)9798350358513;9798350358520

the emerging of Digital Twin (DT) technology facilitates the further development of industrial automation. However, real-time and accurate DTs modeling and updating require massive communication and computing resources, which poses a challenge to limited resources. Edge computing as a distributed computing architecture offers the possibility of high-efficient resource scheduling in DTs. Motivated by this gap, this paper aim to solve the problem of real-time and high fidelity DTs modeling and updating. First, we represent the computing tasks of DTs in the form of Heterogeneous computing Task Graph (HCTG). then, a Hierarchical Attention Mechanism (HAT) is proposed to obtain the latent representation vectors of the HCTG. Finally, we design Markov Decision Process (MDP), and propose Deep Reinforcement Learning (DRL)-based computing task scheduling approach (HAT-DRL) to satisfy the minimum total completion time requirement of different DTs. Experimental results demonstrate that the proposed algorithm has promising scheduling performance and outperforms other task scheduling algorithms.

关键词： Scheduling algorithms

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Energy Efficiency in Blockchain Networks: Analyzing Power Consumption of Consensus Mechanisms and Hash Functions 6

Energy Efficiency in Blockchain Networks: Analyzing Power Co...

引用

6th international conference on Blockchain computing and Applications, BCCA 2024

作者： Sengupta, Souvik Sengupta, Banhirup Sinaeepourfard, Amir Shaik, Shehenaz IONOS SE Germany Department of Mathematics IISC Bangalore India Norway East Tennessee State University United States

ISBN: (纸本)9798350351538

Organizations worldwide are under pressure to reduce their use of non-renewable energy sources and carbon emissions due to their increasing negative impact on the ongoing climate crisis. Blockchain technology, popularized by its use in Bitcoin, has been adopted for various use cases but is criticized for its high energy consumption, depending on the consensus mechanism used. Consensus mechanisms are vital for securing blockchain networks by ensuring all nodes agree on the ledger’s state, but they often trade-off between low energy consumption and high security. this paper analyzes the critical factors contributing to power consumption in blockchain networks, focusing on consensus mechanisms and hashing techniques. through a comprehensive State-of-the-Art (SOTA) review and algorithmic analysis, we examine how various consensus algorithms impact energy usage and detail the computational and space complexities of different hashing algorithms. We also investigate the energy profiles and reduction strategies of major blockchain platforms. Our findings highlight the potential to enhance blockchain energy efficiency without compromising security or performance, providing a foundation for future research in sustainable blockchain technologies. © 2024 IEEE.

关键词： distributed ledger

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Implementation of ABC & WOA-Based Security Defense Mechanism for distributed Denial of Service Attacks 6

Implementation of ABC & WOA-Based Security Defense Mechanism...

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6th international conference on Contemporary computing and Informatics, IC3I 2023

作者： Devi, Suman Sharma, Yogesh Kumar Athithan, Senthil Sachi, Savya Singh, Ajay Kumar Jain, Arpit Chaudhary Devi Lal University Department of Computer Science and Engineering Haryana Sirsa India Koneru Lakshmaiah Education Foundation Department of Computer Science & Engineering AP Guntur India Koneru Lakshmaiah Education Foundation Department of Computer Science & Engineering Andhra Pradesh Vaddeswaram India Lalit Narayan Mishra College of Business Management Department of Information Technology Bihar Muzaffarpur India Allen House Institute of Technology India

ISBN: (纸本)9798350304480

Computer systems are vulnerable to information theft as a result of the extensive use of the internet, which has caused an increase in security defence mechanisms. In order to overcome these theft various approaches have been proposed like Machine Learning, Swarm Intelligent Algorithm, Bayesian-based algorithms etc. For choosing effective and efficacious features and improve the Security Defense Mechanism. In order to lessen distributed Denial of Service (DDO) assaults, we suggested a novel hybrid classification approach in this study based on Artificial Bee Colony (ABC) and Whale Optimisation Algorithm (WOA). the results are compared with other algorithms. these algorithms have shown promising results. © 2023 IEEE.

关键词： ABC DDO'S Defense Mechanism WOA

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distributed Effect Evaluation Algorithm of Computer English Online Platform based on Hibernate Task-based Data Architecture

Distributed Effect Evaluation Algorithm of Computer English ...

引用

6th international conference on Intelligent computing and Control Systems, ICICCS 2022

作者： Wang, Taofeng Guangdong Heyuan Vocational Technology Institute Guangdong 517000 China

ISBN: (纸本)9781665410359

distributed Effect Evaluation Algorithm of the computer English online platform based on Hibernate Task-based Data Architecture is studied in this paper. the image file generated by the CIAB method does not store the state of the system before shutdown. Using this image file to restore, the system will cause inconsistencies between the fast startup and the normal startup system. Hence, to deal with this challenge, the Hibernate framework is combined. Using a specific pattern in a specific application, scenario can obtain a code structure with a clear structure, easy to extend and understand, and is applied to the effect evaluation algorithm into the platform construction. through the testing under different scenarios, the performance is validated. © 2022 IEEE.

关键词： Computer architecture

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Five-layer IoT and Fog computing Framework Towards Digital Twinning of Battery Management Systems for e-Transportation 4

Five-layer IoT and Fog Computing Framework Towards Digital T...

引用

4th international conference on Smart Grid and Renewable Energy, SGRE 2024

作者： Karnehm, Dominic Samanta, Akash Neve, Antje Williamson, Sheldon University of the Bundeswehr Munich Institute of Intelligent Distributed Systems Neubiberg Germany Ontario Tech University Electrical Computer and Software Engineering Oshawa Canada

ISBN: (纸本)9798350306262

It is needless to mention that the proven capability of cloud computing and digital twin-based monitoring and control systems will play a major role in the implementation of digital twin-based lithium-ion battery management systems (BMS) for e-transportation. In this context, the combination of the internet of things (IoT) and fog computing emerges as an enabling technology that facilitates bidirectional data communication and processing. this paper proposes a five-layer IoT framework for the implementation of cloud-based battery monitoring and BMS. Additionally, it critically analyzes the existing IoT frameworks applied to BMS and justifies the suitability of the five-layer architecture. Furthermore, the advantages of fog computing, such as low latency, fault tolerance, limitless systems, multiple applications, and shared responsibility, are discussed. the paper also explores four previously proposed computing-enabled architectures: centralized, hybrid, distributed, and hybrid-distributed computing. Moreover, the potential of utilizing hybrid computing architectures, incorporating fog computing as a supplement to cloud computing, is highlighted to address fault, privacy, or latency issues in cloud-based BMS. © 2024 IEEE.

关键词： Battery management systems

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Enabling Self-Service OLAP on NoSQL Data Lakes 6

Enabling Self-Service OLAP on NoSQL Data Lakes

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6th international conference on Pattern Analysis and Intelligent Systems, PAIS 2024

作者： Boukraa, Doulkifli Sellamna, Hamza Chidekh, Yacine University of Jijel LaRIA Faculty of Exact Sc. & Computing Jijel18000 Algeria University of Jijel Jijel18000 Algeria University of Jijel Faculty of Exact Sc. & Computing Jijel18000 Algeria

ISBN: (纸本)9798350350265

Online analytical processing plays a crucial role in data analysis by providing a powerful framework for efficiently exploring and understanding multidimensional data. With the increasing complexity and volume of data in modern organisations, the main challenge is to build OLAP cubes from distributed heterogeneous sources while considering attribute and relationship overlapping across the sources and to let analysts create their cubes on-demand to maximise their usefulness. We propose a self-service, metadata-driven approach for designing and generating OLAP cubes from heterogeneous NoSQL sources composing a data lake. We illustrate our approach through a realistic scenario where the data is scattered and overlaps across different sources. We present a proof-of-concept application that implements our proposed approach. An assessment of our proposal is conducted to highlight the efficacy and usefulness of the generated cubes for analytical purposes. © 2024 IEEE.

关键词： Metadata

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