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Design and Analysis of Optimized Power Internet of Things System Based on Edge computing

Design and Analysis of Optimized Power Internet of Things Sy...

引用

2024 international conference Optoelectronic information and Optical Engineering, OIOE 2024

作者： Yu, Fei Rao, Wei Liu, Mingliu Li, Yiwen State Grid Hubei Electric Power Co. Ltd. China State Grid Hubei Electric Power Co. Ltd. Electric Power Science Research Institute China

ISBN: (数字)9781510688209

ISBN: (纸本)9781510688193

In the development of China's power Internet construction, in order to better meet the characteristics of network transportation, the key technology to the edge computing framework as the core has been highly valued by the power industry. Nowadays, the professional information systems of China power grid Co., Ltd. have problems such as information cannot be shared and the level of intelligent management and control is low, which requires the power industry to create a smart iot system with existing technical means. On the basis of understanding the current operation status of the power network system, this paper mainly studies the optimized power Internet of Things system architecture and application functions based on edge computing, and then discusses the application effects of relevant technical functions combined with practical cases, so as to prove the application advantages of edge computing framework in the current power Internet of Things system. © 2025 SPIE.

关键词： computing systems Internet of things Power grids Telecommunications Design Network security Engineering Computer security Industry Safety

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A Survey of Challenges Associated with Cloud computing Security 3rd

A Survey of Challenges Associated with Cloud Computing Secur...

引用

3rd international conference on applied Intelligence and Informatics (AII)

作者： Amalarethinam, D. I. George Vinnarasi, J. Jamal Mohamed Coll Autonomous Dept Comp Sci Tiruchirappalli 620020 Tamil Nadu India

ISBN: (纸本)9783031686382;9783031686399

An increasing number of businesses are using cloud computing to maintain and manage data and applications using the internet and a remote server. Resource provisioning, facilitated by cloud computing, involves the delivery of computer system resources over the Internet with pay-per-use pricing. It includes servers, storage, databases, networking, software, analytics, application and intelligence. Cloud computing provides us with easy access to a wide variety of technologies. A versatile, economical, and tested platform for delivering commercial or consumer IT services online is employed. The storage of data, which is the core feature of cloud computing, is facilitated by cloud storage, which offers data security through the utilization of technologies like the Internet, virtualization, encryption, hashing, digital signatures, public key infrastructure, and single signon. This paper's purpose is to present a survey of various Security Challenges and methodologies which are proposed by many researchers for securing Cloudbased data. Also, this study explores the many security concerns related to cloud computing service delivery architectures.

关键词： Applications Cloud Cloud Security Cloud Storage Resources Services

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Adaptive Random Evolution Whale Optimization Algorithm (AREWOA) Based Workflow Scheduling in a Virtualized Cloud Environment 15

Adaptive Random Evolution Whale Optimization Algorithm (AREW...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Nathiya, R. Preethika, S.K. Piramu VEL'S Institute of Science Technology and Advanced Studies School of Computing Sciences Department of Information Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350370249

Cloud workflow task scheduling refers to assigning workflow tasks submitted by users to appropriate computer resources for execution. The workflow scheduler assigns the user request to the available Virtual Machine (VM) hosted on cloud servers during scheduling. However, while limiting energy consumption, the workflow application processing schedule length (makespan) and associated costs must stay within the users budget and deadline. The tasks are chosen using the optimal scheduling technique to reduce Energy Consumption (EC) and maximize Resource Utilization (RU) without compromising system performance. In this paper, Adaptive Random Evolution Whale Optimization Algorithm (AREWOA) based scheduling is proposed to reduce EC, maximize RU, and workflow execution time. AREWOA is performed based on the dual-operation strategy partnership. Initially, the Gaussian distribution is used in the randomization procedure to raise the variety of the population. Secondly, a new skip step factor is introduced to enhance the optimizer capability to solve local optimum, and specific reinforcement is applied to the hunter process to enhance the whale's exclusive exploration or exploitation skills. An adaptive weight factor is applied to maintain algorithm stability and a balance among exploration and exploitation. Dynamic provisioning of infinite heterogeneous resources, AREWOA is thought to demonstrate cloud-based Infrastructure-as-a-Service (IaaS). This approach is simulated in Cloud Simulator and the results shows that the efficiency of the methods. © 2024 IEEE.

关键词： Adaptive Random Evolution Whale Optimization Algorithm (AREWOA) Cloud computing (CC) Cloud Workflow Virtualization VM migration Workflow scheduling

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Health Data Analytics Using IoT: Transforming Healthcare Management and Treatment Strategies for Improved Patient Outcomes

Health Data Analytics Using IoT: Transforming Healthcare Man...

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

作者： Tuan, Dinh Cong Unnikrishnan, Paravthy Dhandayuthapani, Bala Vennila, M.E.M. Long, Choi Sang Sahoo, Deepali Rani Dai Nam University Faculty of Communication Viet Nam Amritapuri690525 India College of Computing and Information Sciences University of Technology and Applied Sciences Department of It Shinas Campus Oman Karpaga Vinayaga College of Engineering and Technology Department of Robotics and Automation Chengalpattu India Raffles University Faculty of Business Malaysia Symbiosis Law School Noida India Pune India

ISBN: (纸本)9798331543617

The integration of Web of Things (IoT) innovation within the healthcare segment has revolutionized conventional healthcare administration and treatment procedures, driving progressed quiet results. This paper looks at the transformative effect of well-being information analytics utilizing IoT in upgrading healthcare administrations, optimizing understanding care, and advancing preventive measures. The paper analyzes the key components and applications of IoT in healthcare, emphasizing its part in information collection, real-time observation, and examination of understanding imperative signs, action levels, and pharmaceutical adherence. With the help of IoT-enabled gadgets such as wearables, sensors, and keen checking frameworks, healthcare experts can assemble comprehensive, real-time persistent information, encouraging early discovery and opportune mediation for basic well-being issues. Besides, the utilization of IoT in well-being information analytics empowers the improvement of personalized treatment plans custom-fitted to a person's persistent needs, cultivating a patient-centric approach to healthcare conveyance. By leveraging machine learning calculations and prescient analytics, healthcare suppliers can expect potential well-being complications, in this manner minimizing the chance of antagonistic occasions and clinic readmissions. In addition, the execution of IoT-based healthcare arrangements advances further understanding and observing, empowering healthcare suppliers to offer ceaseless, personalized care past conventional healthcare settings. © 2024 IEEE.

关键词： Patient treatment

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Enhancing Revenue and Student Outcomes at Small Universities through Professional STEM Master's Programs 24

Enhancing Revenue and Student Outcomes at Small Universities...

引用

25th Annual conference on information technology Education-SIGITE

作者： Srivastava, Aviral Glantz, Edward J. Khurana, Kartik Stager, Sarah Penn State Univ University Pk PA 16802 USA

ISBN: (纸本)9798400711060

This paper advocates for the strategic adoption of Professional Master's in STEM (MPS) by small U.S. universities to attract international students and increase revenue. Emphasizing practical skills over theoretical study, MPS programs are posited to enhance graduate employability in the U.S. job market significantly. We discuss innovative supports such as skill-specific student clubs, experiential learning, and enhanced career services that go beyond traditional approaches, including strategies for effective job placement. Additionally, this paper addresses the unique challenges faced by international students, such as visa restrictions and cultural adaptation, suggesting that university-led advocacy and proactive employment assistance can improve outcomes. By integrating rigorous academic training with real-world application and targeted job search support, small universities can evolve into attractive hubs for global education, fostering financial stability and strengthening their international presence. This dual approach ensures that international graduates are not only educated but also well-prepared to navigate the competitive job market.

关键词： applied computing Education Master of Professional Studies STEM education international students Employment success Higher education policy University industry collaboration Experiential learning Career development Visa policy advocacy curiculum design

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A computing Power Method Based on EVPN-VXLAN Extension in Data Center Networks 24

A Computing Power Method Based on EVPN-VXLAN Extension in Da...

引用

5th international conference on Computer Science and Management technology, ICCSMT 2024

作者： Wu, Nan Dong, Guozhen Xing, Wenjuan Ji, Siwei Zhang, Yue China Telecom Corporation Limited Research Institute Beijing China

ISBN: (纸本)9798400709999

Data center networks need to deliver various cloud services to large number of users, necessitating efficient and flexible management of network resources. However, the widely utilized EVPN-VXLAN (Ethernet Virtual Private Network - Virtual Extensible Local Area Network) technology for network virtualization currently lacks support for computing power resource scheduling within the overlay network. While computing power services can conserve network bandwidth and reduce latency for high-demand applications, they encounter challenges related to end-to-end delivery, path selection, and resource allocation in the EVPN-VXLAN data center *** paper proposes a novel computing power scheduling method based on EVPN-VXLAN that defines a new EVPN routing type to facilitate the delivery of multi-resource information, which is then utilized for computing power routing selection and forwarding. The proposed method enhances the performance and efficiency of computing power services within the data center EVPN-VXLAN network at the overlay layer while maintaining compatibility with existing EVPN-VXLAN technology. © 2024 Copyright held by the owner/author(s). Publication rights licensed to ACM.

关键词： Resource allocation

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Replacing the Traditional Music Black Box:A Blockchain Based Approach For Securing Music Sharing Systems

Replacing the Traditional Music Black Box:A Blockchain Based...

引用

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

作者： Kamala, B. Ramkumar, R. Siddharthan, R. Sri Sairam Engineering College Department Of Information Technology Tamil Nadu Chennai India

ISBN: (纸本)9798350352689

From the prehistoric to the modern eras, music has been an important part of our culture and civilization. The digital era has expanded to include music as well. The musician gave their all to get listeners to love the music. However, the current music industry demotivates artists in a number of ways, including copyright violations while sharing, being softcopied, and internet uploads. Artists who make people happy experience a great collapse as a result. In this paper, we'll talk about how blockchain technology can be applied to music platforms to make them more safe and transparent than the current system. We offer an alternative online database system that manages copyright between individuals and has the quality of being tamper-proof. This system leverages the Ethereum blockchain network to store data. Using smart contracts, we offer quick and efficient payments in ethereum using available accounts in the digial wallet and block explorer to follow information that is kept in the network. The paper's design and implementation are demonstrated in detail. The files that are softcopied from the system and files that are uploaded illegally will be removed by this system. © 2024 IEEE.

关键词： Smart contract

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Research on Resource Scheduling of computing Power Network Based on Deep Q-Network Algorithm 3

Research on Resource Scheduling of Computing Power Network B...

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3rd international conference on Cloud computing, Big Data Application and Software Engineering, CBASE 2024

作者： Wang, Zhijun Zhou, Jingbo High Performance Computing Center Changchun Normal University Changchun China School of Electronic Information Engineering Changchun University of Science and Technology Changchun China

ISBN: (纸本)9798331506582

The resource scheduling of computing power networks is a complex project, and the scheduling strategies used will directly affect the efficiency of subsequent processing of computing tasks. This article focuses on the resource scheduling problem of computing power networks, using the DQN algorithm in deep reinforcement learning to optimize resource utilization, resource mobilization rate, and reduce task loss rate, providing a solution. © 2024 IEEE.

关键词： Scheduling algorithms

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Cancelable Biometrics Based on Quaternion Adaptive Filter Optimization for Security Applications 6

Cancelable Biometrics Based on Quaternion Adaptive Filter Op...

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6th international conference on computing and Informatics, ICCI 2024

作者： Nasr, Mahmoud Piórkowski, Adam Mah, Pascal Muam Abd El-Samie, Fathi E. Department of Biocybemetics and Biomedical Engineering AGH University of Krakow Cracow Poland Faculty of Engineering and Technology Future University in Egypt Cairo Egypt Department of Technical Informatics and Telecommunications AGH University of Krakow Cracow Poland Department of Electronics and Electrical Communications Engineering Faculty of Electronic Engineering Menoufia University Menouf Egypt Department of Information Technology College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University P.O. Box 84428 Riyadh11671 Saudi Arabia

ISBN: (纸本)9798350373875

This study introduces a unique cancelable face recognition technique that depends on adaptive filters and quaternion mathematics. The whale optimization is also applied to determine the optimal parameter settings for best performance. The primary concept of the suggested model revolves around the concealment of facial characteristics before their utilization in the face recognition process. The primary aim of this procedure is to guarantee the confidentiality of users' personal information throughout the enrollment and verification stages of the biometric system, particularly when the database is compromised and the stored biometric templates are altered. In this context, the color facial image is utilized to construct a quaternion. After that, a mask image is employed in a separate quaternion. The cancelable templates are obtained by using the input and mask images represented in quaternion format and applying an adaptive filter on both of them. This process involves preserving the weights of the adaptive filter. Investigation of the suggested tehnique performance demonstrates that the obtained templates lead to low (EER) and a large Area under the ROC curve. © 2024 IEEE.

关键词： Adaptive filters

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A Higher Education information Management System Based on Digital Twin technology and Artificial Intelligence Algorithms

A Higher Education Information Management System Based on Di...

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2024 Asia-Pacific conference on Software Engineering, Social Network Analysis and Intelligent computing, SSAIC 2024

作者： Ye, Yuan Wuhan Business University Hubei Wuhan430056 China

ISBN: (数字)9798350393682

ISBN: (纸本)9798350393682

With the rapid development of modern information technology and the continuous advancement of school education reform, the development of school education management information has become the inevitable trend of education management reform and development in the information age. With the advent of the Internet of everything world, the new generation of information technology and entity are deeply integrated, as an important frontier of information technology 'digital twin technology' has become the focus. Digital twin technology refers to the use of information technologies such as the Internet of Things, big data, artificial intelligence and virtual reality to fully realize the digital expression of entities in the virtual world and form an information ecosystem of close-loop operation and intelligent decision-making with entities. In this paper, based on the actual development of colleges and universities, relying on the 'big data basis' and 'modeling ecosystem' of digital twin technology, combined with artificial intelligence algorithm, the digital twin technology is innovatively applied in the informatization of college education management. On the basis of multi-dimensional and multi-modal data collection and mining of college education management, a set of digital twin model of university education management informatization is constructed, and the model is applied in scene. By creating the digital twin education management system, we can realize the new mode of intelligent visual education management and promote the development of education management informatization. © 2024 IEEE.

关键词： Virtual reality

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