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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...

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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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Predicting Hand Injury Severity Using Bayesian Networks in cloud-Based Emergency Medicine 10

Predicting Hand Injury Severity Using Bayesian Networks in C...

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10th international conference on communication and Signal Processing, ICCSP 2024

作者： Yuvaraj, S. Thinakaran, K. Srinivas, S. Porandla Sivakumar, S. Ishwarya, M.V. Thirumaraiselvan, P. Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Electronics and Communication Engineering Chennai Tamil Nadu Kattankulathur India Saveetha Institute of Medical and Technical Sciences Saveetha School of Engineering Department of Computer Science and Engineering Tamil Nadu Chennai India Malla Reddy Institute of Engineering and Technology Department of Information Technology Telangana Hyderabad India Department of Computer Science Tamil Nadu Perambalur India Agni College of Technology Artificial Intelligence and Data Science Department Tamil Nadu Thazhambur India Adhiparasakthi Engineering College Department of Electronics and Communication Engineering Tamil Nadu Melmaruvathur India

ISBN: (纸本)9798350353068

Predicting the severity of hand injuries in emergency care is the focus of this study, which suggests using cloud-based Bayesian networks. It is crucial to have accurate severity prediction in order to treat emergency hand injuries promptly since they are prevalent. By using the scalability and flexibility of cloud computing, this method constructs a Bayesian severity assessment network with patient data, injury characteristics, and historical medical records. The model's training data comes from a massive database of hand injury cases with different results. Emergency medical professionals may use real-time parameter modifications to strengthen and adapt the Bayesian network. Through the use of the cloud, healthcare providers may simply exchange data and reach consensus. It demonstrates that, compared to other well-established methods of evaluating hand injury severity, the model performs better in making predictions. The suggested method improves severity forecasts and advances cloud-based emergency care. The method for emergency hand injury care uses Bayesian networks in the cloud to improve scalability and accessibility. The findings show that the data-driven and efficient hand injury severity prediction method might transform emergency care by improving patient outcomes. © 2024 IEEE.

关键词： Bayesian networks

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CONVERGING PHYSICAL CYBERNETICS, cloud, AND BIG DATA IN MEDICAL SCIENCES

CONVERGING PHYSICAL CYBERNETICS, CLOUD, AND BIG DATA IN MEDI...

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2024 international conference on Sustainable computing and Integrated communication in Changing Landscape of AI, ICSCAI 2024

作者： Dani, Rakesh Vijayalakshmi, V.J. Maral, Vikas B. Khattri, Vipin Karthigaikumar, P. Department of Hospitality Management Graphic Era Deemed to be University Uttarakhand Dehradun248002 India Department of Electrical and Electronics Engineering Karpagam Academy of Higher Education Coimbatore India Vishwakarma Institute of Information Technology Pune India CCSIT TMU India Department of Electronics and Communication Engineering Karpagam College of Engineering Coimbatore India

ISBN: (纸本)9798350355338

Proper healthcare equipment has made significant strides in many areas thanks to knowledge advancements. But nevertheless, these advancements have also increased the size and complexity of clinical information, making it more challenging to manage and analyze. Furthermore, so the data are produced rapidly from a wide range of sources, they have the traits of being generated shortly and being kept in various forms, which can be usually viewed as a big data issue. This article suggests an internet system for health service apps and services, dubbed Heath, based on web and big data analytics methods, in order offer a more comfortable service and medical provider. This system is made up of a data gathering layer with a common standard, a data administration layer for concurrent processing and dispersed storing, and a layer of statistics offerings. The findings of this research demonstrate how cloud and big data technologies can be applied to improve the functionality of the medical system, allowing people to take advantage of a variety of wearable medical apps and services. © 2024 IEEE.

关键词： Electronic health record

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Evaluation of the quality of grassroots statistics based on a combined empowerment cloud model 4

Evaluation of the quality of grassroots statistics based on ...

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4rth international conference on Applied Mathematics, Modelling, and Intelligent computing, CAMMIC 2024

作者： Wang, Kexin Huang, Xing Lu, Qinghua Mao, Jiayuan Key Laboratory of Public Big Data Security Technology Chongqing College of Mobile Communication Chongqing401420 China Chongqing Key Laboratory of Public Big Data Security Technology Chongqing401420 China Chongqing College of Mobile Communication Chongqing401420 China College of Science Chongqing University of Technology Chongqing400054 China

ISBN: (纸本)9781510681637

High-quality grass-roots statistics are an important guarantee to objectively reflect the development of grass-roots social and economic operations and provide strong data support for government decision-making. A combined empowerment cloud model is constructed to evaluate the quality of grass-roots statistics. Firstly, the index system for evaluating the quality of grassroots statistics is proposed based on GB/T 36344-2018 national standard framework;secondly, to calculate the weights of subjective and objective indicators, AHP-CRITIC is used in combination with game theory to estimate combination weights;then, the cloud model is constructed to evaluate the quality of grassroots statistics;finally, the proposed method is proved to be reasonable and effective through example analysis, and the cloud The model takes into account the randomness and fuzziness of some indicators and can provide a scientific and reliable decision basis for the evaluation of the quality of grass-roots statistics. © 2024 SPIE.

关键词： Statistics

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An Efficient Methodology to Audit Data in cloud Storage to Ensure Reliability and Integrity Using Secured Crypto Schemes

An Efficient Methodology to Audit Data in Cloud Storage to E...

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2024 international conference on Innovative computing, Intelligent communication and Smart Electrical Systems, ICSES 2024

作者： Aroulanandam, Vijay Vasanth Krishna, K. Jaya Babu, A. Vasu Balachandran, G. Tufail, M.S. Odeh, Mahmoud School of Computing Srm Institute of Science & Technology Department of Networking and Communications Kattankulathur Campus Chennai India Qis College of Engineering and Technology Department of Mca Andhra Pradesh Ongole India Qis College of Engineering and Technology Department of S&h Andhra Pradesh Ongole India Jeppiaar Engineering College Department of Ece Chennai119 India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Zarqa University Faculty of Information Technology Department of Cyber Secuity Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331543617

cloud storage has revolutionized how organizations and individuals store and manage data by providing scalable and cost-effective solutions. However, the primary concern remains ensuring data integrity, reliability, and security. This paper explores an efficient methodology to audit cloud storage data, using a combination of secured cryptographic schemes. Techniques such as Third-Party Auditing (TPA), Dynamic Provable Data Possession (DPDP), Random Sampling, and Sentinel-based Proof of Retrievability (POR) are employed to guarantee data accuracy and integrity. The methods are evaluated based on audit time, integrity verification rates, and storage overhead. TPA achieved a near-perfect accuracy of 99-100% in data integrity verification but incurred higher audit times. Random Sampling, with a 92-96% accuracy rate, offered significantly reduced audit time while maintaining high integrity verification. Sentinel-based POR exhibited 98-100% accuracy and provided an excellent balance between security and audit performance. Overall, Random Sampling and POR were the most efficient techniques, making them suitable for large datasets. This methodology ensures robust cloud storage auditing, significantly improving performance, reducing overhead, and preserving user privacy. © 2024 IEEE.

关键词： Data integrity

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Blockchain-Based Decentralized Application for Telesurgery in Metaverse Environment 14

Blockchain-Based Decentralized Application for Telesurgery i...

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14th international conference on cloud computing, Data Science and engineering, Confluence 2024

作者： Chaudhary, Satya Patel, Yogi Chaudhary, Sachi Gupta, Rajesh Kakkar, Riya Tanwar, Sudeep Nair, Anuja Ahmedabad International School Gujarat Ahmedabad380054 India Institute of Technology Nirma University Department of Computer Science and Engineering Ahmedabad382481 India

ISBN: (纸本)9798350344837

With the advent of technology in the medical industry, telesurgery has emerged as a transformative era of conventional medical practices to facilitate remote and efficient surgical procedures for the betterment of patients' health. Moreover, innovative technologies introduce a full-immersive metaverse environment for enabling communication between patients and doctors virtually and efficiently. Nevertheless, remote telesurgery operations in the metaverse are susceptible to various security and privacy issues that need to be tackled to secure the patient's confidential health data. Thus, we design an Ethereum blockchain-based decentralized application (DApp) for selecting and conducting telesurgery operations based on the doctors' specialization and type of surgery. The proposed application ensures secure and preserved communication between patient and doctor in the metaverse environment by deploying the smart contract in the Remix Integrated Development Environment (IDE). DApp is designed using web3 and JavaScript (JS) to reflect the telesurgery operations to the doctor and patient in the metaverse environment. Finally, the proposed smart contract for the application is evaluated based on parameters such as gas consumption analysis for smart contract functions and doctors registered and cost analysis for smart contract functions. © 2024 IEEE.

关键词： Smart contract

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A Smart Solar Monitoring system using IOT

A Smart Solar Monitoring system using IOT

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2024 international conference on communication, computing and Internet of Things, IC3IoT 2024

作者： Durgadevi, S. Shalini, Sura Sundari, Thirupura Hari Shanker, A.K.R. Sri Sai Ram Engineering College Department Of Electronics And Instrumentation Engineering Tamilnadu India India Nippon Electricals Limited Tamilnadu India

ISBN: (纸本)9798350352689

A smart solar monitoring system using IOT describes a system that uses various sensors and IOT devices to monitor and control solar panels' performance. This system provides real-time data on energy generation and consumption, enabling users to optimize energy usage and make informed decisions regarding energy management. The smart solar monitoring system consists of various components, including sensors, microcontrollers, communication protocols, and cloud services. These components work together to collect and analyse data, provide real-time alerts and notifications, and generate reports on energy usage and performance. The use of IOT technology in solar monitoring systems improves efficiency, reduces costs, and enables remote monitoring and control, making it an ideal solution for solar energy management. © 2024 IEEE.

关键词： Internet of things

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Telehealth Data Security and Privacy Solutions for Sensitive Health Records using cloud computing and Isolation Forest Algorithm 2

Telehealth Data Security and Privacy Solutions for Sensitive...

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2nd international conference on Self Sustainable Artificial Intelligence Systems, ICSSAS 2024

作者： Prathik, A. Banu, S. Parveen Sagar, B.S. Prakash, A. John Felix Thamizhamuthu, R. Velmurugan, S. Vel Tech Rangarajan Dr.Sagunthala R&d Institute of Science and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Saveetha College of Liberal Arts and Sciences Department of Commerce Tamil Nadu Chennai India Reva University Department of Electrical and Electronics Engineering Karnataka Bengaluru India Chennai Institute of Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Srm Institute of Science and Technology Department of Computing Technologies Kattankulathur Campus-Chengalpattu Tamil Nadu Chennai India T.J.S. Engineering College Department of Electronics and Communication Engineering Tamil Nadu Chennai India

ISBN: (纸本)9798350368413

Protecting the confidentiality of patient's personal health information as it is sent and kept in the cloud is of the utmost importance due to the increasing number of telehealth services. This research provides a new healthcare data security approach using cloud computing and the Isolation Forest method. To identify important challenges and provide a novel technique, a thorough literature study on telehealth security, privacy issues, and cloud-based solutions. It uses the Isolation Forest method for anomaly detection in combination with encryption and access restriction systems to identify intrusion attempts. It uses simulated telehealth data in trials to test the system's work. Findings show substantial gains in privacy and data security with computational burden. Healthcare practitioners and legislators will find results useful in their pursuit of solutions to the problem of securing patients' private health information throughout the rise of telemedicine. © 2024 IEEE.

关键词： Electronic health record

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A Comprehensive Experimentation on Security-Conserving Storage Verifications and Data Dynamics Over cloud Storage Environment 1

A Comprehensive Experimentation on Security-Conserving Stora...

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1st international conference on Electronics, communication and Signal Processing, ICECSP 2024

作者： Abhilash, K. Sravan Vasudevan, M. Jayaprakash, M. Anitha, C. Karthikeyan, Kavitha Maisa, Soujanya CMR Engineering College Department of Electronics and Communication Engineering Medchal Kandlakoya India Andhrapradesh Madanapalle India R.M.K. Engineering College Department of Information Technology Tamil Nadu Kavaraipettai India Saveetha School of Engineering Saveetha Institute of Medical and Technical Sciences Saveetha University Department of Computer Science and Engineering Chennai India Prince Shri Venkateshwara Padmavathy Engineering College Department of Civil Engineering Tamil Nadu Chennai India Medchal Kandlakoya India

ISBN: (纸本)9798350364590

As an IT firm moves into the future, cloud computing is quickly becoming the standard. The data centre serves as a centralized server from which data may be accessed. Businesses are quickly moving their operations to the cloud in order to take use of the most efficient resources. Both data dynamic operation and public verifiability at a single instance are supported by the current technologies. Instead of involving the client in auditing to detect cloud-stored data, the suggested approach takes into account the duty of a third-party auditor to guarantee the data's integrity. Data operations for inserting, deleting, and modifying data on the block are provided by data dynamics. A novel cloud data enrichment technique dubbed Advanced Cipher based Data Dynamics and Storage Model (ACDDSM) is presented to avoid the flaws in the previous system. To clearly assess the suggested model's performance, it is cross-validated with the traditional Rivest, Shamir, and Adleman (RSA) method. One possible solution to this issue is a cloud server. Managing storage on a grand scale is within its capabilities. But since it is a third-party service, data security is a concern. Strong encryption methods can be used to safeguard data from the cloud server. We must first distinguish between sensitive and non-sensitive data in order to implement appropriate data security measures. Prioritizing sensitive data above potential dangers is essential. Finding valuable information within a reasonable amount of time to compute is the main topic of this research. © 2024 IEEE.

关键词： Data integrity

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RECS Methodology for Secured Data Storage and Retrieval in cloud 2

RECS Methodology for Secured Data Storage and Retrieval in C...

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2nd international conference on Sustainable computing and Data communication Systems, ICSCDS 2023

作者： Gera, Jaideep Sushma, K. Polamuri, Subba Rao St Mary's Group of Institutions Department of CSE AP Guntur India Vignan's Institute of Information Technology Department of CSE AP Vizag India Bvc Engineering College Department of CSE Odalarevu AP Amalapuram India

ISBN: (纸本)9781665491990

Different web management strategies are used in the cloud computing deployment to address various issues. Here, information security and protection has developed into a significant issue that restricts a lot of cloud applications. In tandem with the growth of cloud storage's benefits, the drawbacks of cloud data have also grown. This has an impact on the cloud-based information servers that are used to store data. further used for exchanging jointly massive amounts of data using DFS. The cloud computing foundation's information exchange processes are defenseless against several assaults, for which multiple cryptographic approaches were unable to provide a workable defense. Reliable Efficient cloud Storage Model is a novel approach. With the Blowfish approach, the suggested algorithm is applied to this model. When compared to the current technique, experimental results showed that the RECS approach is effective in storing and transmitting the encrypted data. © 2023 IEEE.

关键词： cloud storage

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