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Distributed communication in smart agriculture at vineyard of Liangshan, China 4

Distributed communication in smart agriculture at vineyard o...

引用

2024 4th international conference on Optics and communication Technology, ICOCT 2024

作者： Liu, Chenchen Khalid, Nor Azimah Ramli, Muhammad Izzad School of Information and Technology Xichang University Sichuan Province 615013 China College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Shah Alam Malaysia

ISBN: (纸本)9781510685734

The grape industry in Liangshan, China, has experienced significant growth over the past decade. However, most grape-growing plots in Liangshan are mountainous and scattered, posing challenges for real-time communication using traditional IoT models, as noted by Gamperl et al. (2021). In the coming years, the integration of cloud computing and artificial intelligence (AI) within IoT architecture is expected to become a key area of research in smart agriculture. However, most studies to date have focused on plains with concentrated plots and have not addressed the challenges of implementing peer-to-peer communication in mountainous areas. This study addresses these challenges by transmitting real-time data to a cloud platform via a 4G-cat1 network, enabling real-time communication and data processing in hilly, dispersed agricultural plots. The study outlines the content: developing a theoretical foundation for using 4G-cat1 as the main data transmission method and deploying the necessary infrastructure for reliable connectivity;installing Data Transmission Units (DTUs) at representative locations within the plots to collect and transmit environmental data in real-time to a centralized cloud platform;and utilizing cloud computing and AI technologies to monitor and analyze the stability of data transmission, ensuring the stable operation of each unit. The main finding is that an IoT system utilizing distributed networks is highly effective for smart agriculture in mountainous areas, addressing the challenges of dispersed and non-contiguous agricultural plots. © 2024 SPIE.

关键词： Smart agriculture

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Design and Development of Protected Services in cloud computing Environment

Design and Development of Protected Services in Cloud Comput...

引用

2023 international conference on Intelligent Data communication Technologies and Internet of Things, IDCIoT 2023

作者： Purohit, Pallavi Krishna Kumar, Awanit Degadwala, Sheshang Sangam University Department of Computer Science Engineering Rajasthan Bhilwara India Sigma Institute of Engineering Department of Computer Science Engineering Gujrat Vadodara India

ISBN: (纸本)9781665474511

In quantum-based computing, the communication uses quantum bits rather than digital bits to address the information. This work proposes to employ encrypted communication for sharing the keys called bits in the Quantum framework. cloud computing is one of the services, which supports both communication and quantum registering. For small to huge computing tasks, providing any software, platform, or infrastructure as a service, pay-n-use technique should be possible in distributed computing. Based on the duration and amount of administration utilization, the payment will be determined. The principle aim of the distributed computing is to create a resource where anybody can get to any help, whatsoever from anyplace. Protection and security are the fundamental dangers and issues of distributed computing. To overcome such problems in distributed computing, multi-tenure and framework sub-contracting method is used. The proposed encoding technique is far speedier and more effective than traditional encryption, for example, DNA-based encryption computing. To protect the information from intruders, better safety efforts are required. This theoretical investigation recommends such a strategy to defend against certain attacks. © 2023 IEEE.

关键词： Infrastructure as a service (IaaS)

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Sign Language Recognition using Convolutional Neural Network 14

Sign Language Recognition using Convolutional Neural Network

引用

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

作者： Gulati, Nancy Rajput, Abhishek Singh, Ankur Computer Science and Engineering Amity University Noida India

ISBN: (纸本)9798350344837

The Sign Language Recognition (SLR) sector has seen significant progress in recent years, driven by the growing need for technology to bridge the communication gap for the deaf and hard-of-hearing community. This research paper synthesizes the methods, results, and limitations of some prominent influential articles in the field of SLR, highlighting the state of the art and remaining challenges. By consolidating knowledge from diverse research efforts, this research provides a comprehensive understanding of the current landscape and is a valuable resource for researchers, practitioners, and stakeholders committed to promoting accessibility and inclusion for deaf people. This research also highlights work done on the Sign Language model using Convolutional Neural Network(CNN) along with an average accuracy of 99.98 percent. © 2024 IEEE.

关键词： Convolutional neural networks

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Application of cloud computing in the Construction of Power Network Security Immune System 3

Application of Cloud Computing in the Construction of Power ...

引用

3rd international conference on Green communication, Network, and Internet of Things, CNIoT 2023

作者： Xu, Meng Liu, Shenghan Li, Xuewu CSG Digital Grid Group Co. Ltd. Guangdong Branch Guangdong Guangzhou510030 China

ISBN: (纸本)9781510668867

With the increasing number of power grid information systems and the deepening requirements for information intensification, the concept of cloud computing has entered the sight of power grid enterprises. This paper discusses the application of cloud computing in power grid enterprises from the aspects of the concept, service level and core technology of cloud computing. This paper holds that the introduction of cloud computing into power network and the construction of power network security immune system cloud can provide effective support for the development of power network. Based on the characteristics of power network and relying on a new storage and calculation mode of cloud computing technology, this paper expounds how cloud computing technology provides technical support for data storage and analysis of power network, and analyzes the benefits brought by cloud computing technology to power network. The possible security threats of power network cloud and the corresponding preventive measures are discussed. © 2023 SPIE.

关键词： Immune system

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A Comprehensive Assessment on Fortified Security Protocols: Delving into AES Algorithm, ECC, Blockchain, cloud computing Within a Regulatory Landscape 4

A Comprehensive Assessment on Fortified Security Protocols: ...

引用

4th international conference on Computer, communication, Control and Information Technology, C3IT 2024

作者： Kumar, Biresh Singh, Kritika Banerjee, Pallab Kumar, Purushottam Dehury, Mohan Kumar Jha, Pooja Amity Institute of Information Technology Amity University Jharkhand Ranchi India Amity School of Engineering & Technology Amity University Jharkhand Ranchi India

ISBN: (纸本)9798350389128

In recent days, there have been a few techniques available on the market that can resolve the concern for data protection and privacy. One of them is said to be cloud computing. In cloud computing, there are several significant policy concerns related to privacy, anonymity, liability, telecommunications capacity, government monitoring, reliability, etc. But mainly the concern is about security. This paper presents a novel security solution for cloud and explores the extent to which this approach is valid. In this paper with the support of a two-phase Framework, user can safeguard the privacy of their data on the cloud. The framework first encrypt data using AES (Advance Encryption Standard) encryption keys are produced safeguarding each file is properly and uniquely encrypted, so that the file (data) can be protected from manipulation then in the next phase with the help of blockchain technique encrypted keys are stored safely with metadata providing data integrity. Secure transfer of files is made easier by Elliptic Curve Cryptography (ECC)encryption using public keys, which also improves reliability during storage and transmission. This study proposes specific encryption and blockchain approaches with cloud computing promises to deliver data secrecy, and integrity, safeguarding personal privacy, and defending against malware ransomware and other security threats. © 2024 IEEE.

关键词： cloud security

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Optimizing cloud-Based IoT Architectures with an Energy-Sensitive Load Balancing Algorithm for Enhanced Resource Utilization and Network Efficiency 4

Optimizing Cloud-Based IoT Architectures with an Energy-Sens...

引用

4th international conference on Technological Advancements in Computational Sciences, ICTACS 2024

作者： Kumar, Ravi Raghavendar, K. Chary, Kalvog Prakasha Naresh, K. Reddy, G. Venkata Rami Kumar, D. Sravan Sreenidhi University Department of Cse Hyderabad India Teegala Krishna Reddy Engineering College Department of Cse Hyderabad India Cvr College of Engineering Department of CSE Cyber Security Hyderabad India Tkr College of Engineering & Technology Department of Cse Hyderabad India Vardhaman College of Engineering Department of Cse Hyderabad India Narshima Reddy Engineering College Maisammaguda Hyderabad India

ISBN: (纸本)9798350387490

cloud computing, which provides virtualized computing resources online, has become increasingly popular. Effective load balancing (LB) is essential for distributing dynamic workloads among cloud systems and ensuring equitable resource sharing, which prevents server overloads. This study presents a customized cloud-based load balancer algorithm designed for IoT network protocols, evaluating the demands of virtual and physical host machines in cloud environments. The algorithm manages loads within cloud-based IoT architectures to enhance energy efficiency and improve network response times while integrating seamlessly with existing frameworks. Utilizing proportional sharing, the method migrates heavily loaded virtual machines to less strained physical hosts. Key characteristics, including memory specifications, CPU utilization, power consumption, and SLA violation management, are considered. The Updated Energy-Sensitive Balancing Load Algorithm (ESBL) is developed to analyze IoT sensor data and, compared to older approaches, optimizes load balancing and other critical parameters. The proposed load balancer significantly improves resource utilization and network efficiency, ultimately optimizing IoT communication in cloud computing environments. © 2024 IEEE.

关键词： cloud platforms

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Performance Analysis of cloud-Based Applications with cloud Analyst 5

Performance Analysis of Cloud-Based Applications with Cloud ...

引用

5th international conference on Electronics and Sustainable communication Systems, ICESC 2024

作者： Singh, Navya Kundety, Harshil Mohana Aradhya, H.V. Ravish Rv College of Engineering® Electronics & Communication Engineering Bengaluru India Bengaluru India

ISBN: (纸本)9798350379945

cloud computing changed the way data is accessed and stored, as well as providing the ways of implementing applications through internet. It aims at identifying fundamental units like IaaS, PaaS and their consequences. Nevertheless, new opportunities also draw essential risks, the main of which is associated with cloud security. To overcome these challenges, the present research focuses on the six fundamental components of cloud security and cannot tackle the issues. cloud Sim is a framework developed for cloud computing environments and the development entails modeling and simulation of behaviors under certain conditions with respect to performance, scalability and resource utilization. Results indicate that geographic distance presents the extent by which the service quality lowers with larger distance between the user base and the data center or server. The performance metrics shows the average response time of 301.85 ms for User Base 1 located in Europe, and 50. 2 ms for User Base 2 in North America, and 200. 80ms for User Base 3 located in Australia shows that geographic location plays a vital role in ensuring that the latency is as less as possible. Furthermore, in the current study, the load balancing is done across the multiple data centers, and this is controlled by different service brokerage policies thus improving the quality of the services offered. These strategies ensure optimization of the workloads in a way that they assign virtual machines optimally in every data center. Secure also continues to be emphasized, and talks about its solutions and strategies, as well as best reference models from the world market, including NIST, ISO, and CIS © 2024 IEEE.

关键词： cloud security

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The Evolution of cloud computing Towards a Vendor Agnostic Market Place Using the SKY CONTROL Framework 15

The Evolution of Cloud Computing Towards a Vendor Agnostic M...

引用

15th international conference on cloud computing and Services Science, CLOSER 2025

作者： Cocos, Henry-Norbert Baun, Christian Kappes, Martin Frankfurt University of Applied Sciences Nibelungeplatz 1 Frankfurt am MainD-60318 Germany

ISBN: (纸本)9789897587474

Multi-cloud environments offer benefits like vendor diversification and resilience but pose challenges such as increased management complexity, lack of cost transparency, and compliance. This concept paper introduces SKY CONTROL, a vendor-agnostic framework for small and medium-sized enterprises (SMEs). SKY CONTROL integrates cost control and risk management into multi-cloud setups, providing static and dynamic resource analyses, a cost calculator, and risk assessment tools. By leveraging the Sky computing paradigm, SKY CONTROL simplifies resource orchestration and enhances security. This novel framework is the first implementation of the innovative Sky computing concept. It aims to improve cost efficiency, regulatory compliance, and strategic IT planning for SMEs, offering a unified approach to managing hybrid infrastructures. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Risk management

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Enabling Technologies in IoMT Smart Healthcare: A Survey 10

Enabling Technologies in IoMT Smart Healthcare: A Survey

引用

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

作者： Shivagangatharani, B. Rabiya, M. Syed National Engineering College Department of Computer Science and Engineering K.R. Nagar Kovilpatti India

ISBN: (纸本)9798350353068

The Internet of Medical Things (IoMT) is a network connected electronic smart device or Things without any involvement from humans. That makes the Healthcare system dynamic and customized one. The healthcare system can enhance the quality, accessibility, availability and affordability by using IoMT with numerous technologies such as Wireless Body Area Network (WBAN) for patients' physical data gathering, wireless communication for data transforming, big data for diagnosing, cloud computing for large storage, Fog computing to minimize the communication cost, blockchain technology provides a better protection for user sensitive data, machine learning and artificial intelligence use in each stage. In this paper, provide an in-depth study on the use of the aforementioned technologies in intelligent healthcare systems. In this article, the latest studies of the recent healthcare systems are discussed the uses, difficulties, and developing technology of smart healthcare systems. © 2024 IEEE.

关键词： Digital storage

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5G-Enabled V2X communication with cloud-Powered XGBoost Algorithm for Electric Transportation 10

5G-Enabled V2X Communication with Cloud-Powered XGBoost Algo...

引用

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

作者： Gnana Jeslin, J. Sujatha, M. Aghalya, S. Jehan, C. Ishwarya, M.V. Vedasundara Vinayagam, P. Rmk College of Engineering and Technology Department of Computer Science and Engineering Tamil Nadu Chennai India Easwari Engineering College Department of Electrical and Electronics Engineering Tamil Nadu Chennai India St. Joseph's College of Engineering Department of Electronics and Communication Engineering Tamil Nadu Chennai India Vel Tech Multitech Dr.Rangarajan Dr.Sagunthala Engineering College Department of Computer Science and Engineering Tamil Nadu Chennai 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

The opportunity for electric transportation system optimization has never been greater with the combination of cloud-based machine learning algorithms and 5G-enabled Vehicle-to-Everything (V2X) connectivity. To improve the effectiveness, reliability, and longevity of electric vehicle (EV) networks, it provides a new architecture combining V2X communication enabled by 5G and an XGBoost algorithm driven by the cloud. Vehicles may exchange data in real time and make decisions with the help of infrastructure and the cloud via the seamless communication made possible by 5G networks' high-speed, low-latency connection. The XGBoost algorithm, hosted on cloud servers, can use this data to forecast several metrics, including traffic flow, energy usage, and the best way to charge. cloud computing allows more sophisticated analysis and prediction models by moving the processing load from individual cars to large, powerful servers. It improves transportation efficiency, decreases congestion, minimizes energy usage, and optimizes charging infrastructure via simulation and real-world experiments. © 2024 IEEE.

关键词： Machine learning

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