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检索条件"任意字段=2nd International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering"

共 1391 条记录，以下是131-140 订阅

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Deployment of Blockchain in cloud computing- A Comprehensive Review 2

Deployment of Blockchain in Cloud Computing- A Comprehensive...

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2nd international conference for Innovation in Technology, INOCON 2023

作者： Khare, Shanu Sahay, Rashi Kumar, Raj Chandigarh University Computer Science and Engineering Mohali Gharuan India

ISBN: (纸本)9798350320923

It is an era of digitalization that includes all types of digital activities and information. In this digitalization period, if we want to convey signals or data or any digital favors, cloud computing has moved out of and become visible as an unbeatable technology. It forecasts divisional computing assets as alternative configuring regional servers to be head of, a stockpile of data kept for use as needed, and procedural data. The requirement for cloud computing is increasing day by day. cloud computing is not more secure to handle entire data of this world or digital era. There are adequate security issues that come out of this increasing technology that creates a hurdle for improvements. All the information and prime data still convey from one end to another ruin through a global medium called the internet. But the data security is at risk always. For security purposes, we have to keep up the apparatus for preserving data such as privacy or confidentiality, dispensation, accuracy, answerability, and access control. There is one technology that is trending now a day called a blockchain. Blockchain makes cloud computing more secure and more powerful technology. The condition of being free from danger or threat, that state comes from a blockchain in cloud computing. All complications in certainty can solve by blockchain technology. A blockchain can increase reliability and privacy from end to end of undeniable ration disperse registry or logs on cloud confluence. A Blockchain follows the registry rule that once set foot in any data in the structure that cannot ever depict as cut off in a jagged line. All information and proceeding data or deals are corroborated by the system and keep that records or documents protected. Bitcoin is perhaps the most commendable instance of a blockchain. In a communal incline called the blockchain, each unique procedure is authenticating. It is based on a digital currency communication topology on a distributed peer-to-peer. In this art

关键词： Blockchain

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The Implementation of Big Data With cloud and Edge computing in Enhancing the Smart grid Information Processes Through Sem Model 2

The Implementation of Big Data With Cloud and Edge Computing...

引用

2nd international conference on Advance computing and Innovative Technologies in engineering, ICACITE 2022

作者： Chahar, Ankit Christobel, Y. Angeline Ritika Adakane, Prashant K. Sonal, Deepa Tripathi, Vikas R.V. College of Engineering Student Department of Computer Science and Engineering Karnataka Bengaluru India School of Computational Studies Hindustan College of Arts & Science Chennai India G.L Bajaj Institute of Technology & Management It Department Greater Noida India G H Raisoni University Department of Computer Science and Engineering Amravati India Patna Women's College Department of Computer Science Bihar Patna800014 India Graphic Era Deemed to Be University Department of Computer Science & Engineering Uttarakhand Dehradun India

ISBN: (纸本)9781665437899

It is not possible to handle and huge amounts of data using present software programmes and personal computers owing to a lack of appropriate computing power. Manufacturing organisations must either employ cloud computing technology or engage in more current techniques including Edge computing technology if they are to compete in the global market. The SEM model is used to examine the Smart grid Information Processes in this article. Furthermore, it is proposed that the research contributes to the expansion of experience in the discipline of smart meters and Internet of Things acceptability, despite the fact that this is a very rare topic. © 2022 IEEE.

关键词： Smart power grids

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Security Architecture Design of Virtual Power Plant Based on Edge computing and Blockchain 2

Security Architecture Design of Virtual Power Plant Based on...

引用

2nd international conference on Electronic Materials and Information engineering, EMIE 2022

作者： Wang, Zhe Jiang, Yibo Liu, Lan Zhu, Di City and Energy Research Institute Co. Ltd Jiangsu Suzhou215000 China

ISBN: (纸本)9781713865629

With the integration of large-scale renewable energy into the grid, the power grid has increasingly higher requirements for the scale of virtual power plant (VPP) that can aggregate user-side flexible resources. However, with the increasing number of distributed energy resources (DERs) connected, the heterogeneous data generated by the terminal also increases, which poses new challenges for VPP data management in terms of real-time, stability, and security. Aiming at the difficulties of the existing VPP architecture in processing massive edge data, based on the advantages of edge computing and blockchain in edge data processing and cloud information security management, this paper proposes a VPP security architecture design method. The application applicability of edge computing, blockchain, and VPP is analyzed, the edge computing nodes (ECNs) configuration and technical architecture are introduced, and the specific services that the architecture can be applied to are explained. The encryption and verification function of the command of the cloud-side collaboration and contract information is designed. This architecture can better take into account the real-time information on the edge, which is conducive to the overall scheduling of the VPP and also improves its stability and safety. © VDE VERLAG GMBH ∙ Berlin ∙ Offenbach.

关键词： Energy resources

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A priority-reservation queueing-based approach for Blockchain-assisted smart-grid system 2

A priority-reservation queueing-based approach for Blockchai...

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2nd international conference on Power Electronics and Energy, ICPEE 2023

作者： Mallick, S.R. Goswami, Veena Dash, Rudra Narayan Lenka, R.K. Sharma, S. Barik, R.K. International Institute of Information Technology Department of Computer Science and Engineering Bhubaneswar India Kiit Deemed to Be University School of Computer Applications Bhubaneswar India Kiit Deemed to Be University School of Electrical Engineering Bhubaneswar India Central University Guru Ghasidas Vishwavidyalaya Department of Cs&e Bilaspur India

ISBN: (纸本)9781665470582

Most IoT-enabled smart grids are centralized. Blockchain-based decentralized systems are secure, private, transparent, stable, and auditable. Since Blockchain transactions are immutable, energy trade and tracking are more straightforward. Scalable connection and access control management are implemented in these networks through the queueing concept. By keeping this in mind, the present article proposes a priorityreservation queueing-based analytical model for Blockchain-assisted smart grid systems to facilitate easy accessibility between consumers and distributors. We also present various numerical findings to illustrate the effectiveness of the proposed system. © 2023 IEEE.

关键词： blockchain consumers distributors priority-reservation queueing Smartgrid

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An Overview of Experimental Load Tracking, Billing and Energy Consumption Monitoring Device using IoT 2

An Overview of Experimental Load Tracking, Billing and Energ...

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2nd international conference on Applied Artificial Intelligence and computing, ICAAIC 2023

作者： Maule, Linda Cecilia Tracy Thilak, K. Raj Devi, B. Gayathri Anbarasu, P. Balaji, Avvaru Nohit Venkata Seetha Sai Franklin, N. Sri Eshwar College of Engineering Department of Electrical and Electronics Engineering Coimbatore India Goldwin Industries Coimbatore India

ISBN: (纸本)9781665456302

In an electricity network, a smart grid's aim is to provide electronic power conditioning and production control and twitches in energy usage. These issues have been severely recognized in developing countries such as India in which there exists a large monotonous gap between required and available energy bringing the need for load-shedding. To promote electrical savings, smart grids have now been known to employ Demand Side Management (DSM). Future DSM systems should be designed such that it exploit's technologies such as Web of Things (WOT) and utility computing. This research study provides a planning structure, discovery and integration of a WOT and utility-based Electricity Monitoring System (EMS), with the ability to generate a fill profile of the end user. The designed EMS is easily installed at the premises of the consumer where it performs tasks like monitoring the consumption of the end user and uploads the sensed data to Think-Speak cloud over Information Transfer Protocol. © 2023 IEEE.

关键词： Electric power utilization

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Power grid key data mining based on edge computing 2

Power grid key data mining based on edge computing

引用

2nd international conference on cloud computing and Mechatronic engineering, I3CME 2022

作者： Wang, Yuedong Wang, Wei Sun, Yao Niu, Mingzhu Shi, Cheng State Grid Dalian Electric Power Supply Company Liaoning Dalian116001 China

ISBN: (纸本)9781510657502

In recent years, with the rapid development of smart grid, the situation of user privacy disclosure and communication channel congestion has also intensified. The integration of edge computing and smart grid makes full use of the storage and computing power of cloud computing, while absorbing the real-time and distributed characteristics of edge computing, which solves the problem of communication channel congestion to a certain extent. The edge computing architecture itself still has many security risks, and privacy disclosure is unavoidable. The main research content of this paper is how to realize privacy-preserving and efficient data transmission in smart grid in the edge computing environment with limited computing resources and insecurity. The proposed smart grid data aggregation scheme can effectively protect the privacy of users from being violated, and has low computational and communication overhead. At the same time, it is convenient for service providers to analyze the data and further improve the security and reliability of the smart grid. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Data mining

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An intelligent optimization framework to predict the vulnerable range of tumor cells using Internet of things 2

An intelligent optimization framework to predict the vulnera...

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2nd IEEE international conference on Industrial Electronics: Developments and Applications, ICIDeA 2023

作者： Gorantla, Venkata Ashok K Sriramulugari, Shiva Kumar Mewada, Amit Hasmukhbhai Logeshwaran, J. Solution Architect United States Sri Eshwar College of Engineering Department of Electronics and Communication Engineering Coimbatore641202 India

ISBN: (纸本)9798350381979

The intelligent optimization framework for predicting the vulnerable range of tumor cells using Internet of Things (IoT) provides a robust and efficient solution for monitoring, assessing, and managing cancer treatment. This framework is based on a combination of deep learning algorithms, big data analytics, cloud computing, and IoT technology. The main purpose of this framework is to develop an optimal solution for detecting the vulnerable range of tumor cells using the latest advances in image processing, machine learning and natural language processing. This framework collects data from various medical or health-related sources such as patient records, imaging results, and medical reports and stores them on the cloud. It filters real-time data at micro-levels to generate a more accurate analysis of the vulnerable range of tumor cells in order to make better proactive healthcare decisions. In this framework, the deep learning algorithms are used to develop predictive models that can accurately detect the vulnerable range of tumor cells. The big data analytics platform is used to analyze the collected data patterns for more refined predictions. Finally, the cloud computing technology provides a distributed computing platform to take advantage of the data from different sources. By integrating the latest advances in machine learning, natural language processing, and cloud computing, the intelligent optimization framework for predicting the vulnerable range of tumor cells using IoT provides an efficient and accurate solution for optimizing the diagnosis and treatment of cancer, enabling doctors to provide better proactive care to their patients. © 2023 IEEE.

关键词： Data Analytics

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Stability Analysis of Circulating Current in Multi-parallel grid-Connected Inverter System 2

Stability Analysis of Circulating Current in Multi-Parallel ...

引用

2nd IEEE international Power Electronics and Application Symposium, PEAS 2023

作者： Li, Mingliang Ruan, Xinbo Shi, Mingming Zheng, Xian College of Automation Engineering Nanjing University of Aeronautics and Astronautics Nanjing China Electric Power Research Institute of State Grid Jiangsu Electric Power Co Ltd. Nanjing China

ISBN: (纸本)9798350313765

Multi-parallel grid-connected inverter system is increasingly applied in distributed power generation systems. Due to the existence of grid impedance, the output current of the grid-connected inverter cannot be fed to the grid totally, and a part of it will circulate to other inverters connected in parallel under weak grid. And the stability of circulating current also affects the safety and reliability of the system. Also, the large circulating current will bring more power loss to system. This paper uses the average model of the grid-connected inverter to establish the Norton equivalent circuit of the multi-parallel grid-connected inverter system. On this basis, the generation mechanism of the circulating current is explained by the current separateness, and the relationship between the stability of the circulating current and the injected grid current is indicated. Finally, the accuracy of the proposed theory is verified by simulation. © 2023 IEEE.

关键词： circulating current current separateness grid-connected inverter weak grid

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Economic Analysis on Transmission System of Offshore Oil Platform Based on LCC 2

Economic Analysis on Transmission System of Offshore Oil Pla...

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2nd IEEE international conference on distributed computing and Electrical Circuits and Electronics, ICDCECE 2023

作者： Wang, Xuebin Wang, Lei Song, Wenle Hao, Xiangyu Zhang, Xiaofan State Grid Cangzhou Electric Supply Company Cangzhou China North China Electric Power University School of Electrical and Electronic Engineering Beijing China

ISBN: (纸本)9798350347456

Offshore platform power system is a key link in the development and utilization of offshore oil resources, and its power transmission method directly affects the safe and stable operation of offshore oil platform. To study the economics of different power transmission modes on offshore oil platforms, in this paper, the characteristics and applicability of conventional AC, flexible DC, and low-frequency transmission modes were compared, and considering the offshore distance, voltage level, transmission capacity, and other factors, a comprehensive evaluation model of offshore oil platform based on life cycle cost (LCC) was established. Then, the selection principles of offshore oil platform-based transmission mode suitable for different operation scenarios were proposed, and the best transmission methods for offshore oil platform were obtained, the DC transmission is the most economical for long-distance offshore oil platforms, which can provide reference and basis for the development of shore-based power supply scheme for offshore oil platform. © 2023 IEEE.

关键词： Life cycle

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Medical Remote Sensing and Internet of Things for Detection of Epileptic Seizure Using Deep Neural Networks 2

Medical Remote Sensing and Internet of Things for Detection ...

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2nd international conference on distributed computing and Optimization Techniques, ICDCOT 2024

作者： Vinuja, G. Devi, N. Bharatha Saveetha School of Engineering Simats Department of Cse Thandalam India

ISBN: (纸本)9798350382952

Medical Remote sensing and the Internet of Things (IoT) have emerged as powerful tools in the field of disease detection and monitoring. Early detection of infectious diseases is crucial in order to prevent outbreaks and minimize their impact on public health. This paper aims to explore suitable methods and algorithms that can effectively utilize medical remote sensing data and IoT devices to detect and identify infectious diseases at an early stage. In this research, the novel real-time personal health monitoring system WISE (Wearable IoT-cloud-based health monitoring system) is introduced. In the present research, the body area network (BAN) is used to collect the patient's EEG signal. These signals are sent from the patient's location to the cloud via wifi. To turn the EEG input signal into an image, the discrete wavelet transform (DWT) is initially employed. This EEG input image first undergoes data de-noising pre-processing. Wavelet decomposition of EEG data accurately captures and pinpoints transient patterns in both temporal and frequency domains. Classifiers based on multilayer perceptron neural networks (MLPNN) were created and their classification accuracy for EEG signals was tested.. As compared to the existing algorithm the accuracy rate in predicting an abnormal EEG was 98.1 %. The classifier is employed to assess whether a region is typical or anomalous, and it also gauges its effectiveness. © 2024 IEEE.

关键词： Discrete wavelet transforms

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