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检索条件"任意字段=5th International Communication Engineering and Cloud Computing Conference, CECCC 2023"

共 1061 条记录，以下是41-50 订阅

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A systematic study of image/data sharing security methods using Modified Advanced Encryption standards (MAES) 5th

A systematic study of image/data sharing security methods us...

引用

5th international conference on Advances in AI for Biomedical Instrumentation, Electronics and computing, ICABEC 2023

作者： Satyaramamanohar, A.B. Bernatin, T. Anvesh, P.S.D. Department of Electronics and Communication Engineering Sathyabama Institute of Science and Technology Chennai India

ISBN: (纸本)9781032642987

Now a Days the multimedia data processing and protection is becoming a vital thing in IOT, RF (Radio frequency), etc… communications. the significant encryption methodology is used to secure multimedia data either in the form of steganography or cryptography. Many other methods exists for securing sensitive image data from intrusion attacks. Encryption transforms information into a code that can only be read by the intended recipient, making it unreadable to others. the encryption process does not prevent interference, but it does prevent observers from knowing what is being transmitted. It still keeps users’ identities and data secure. the work covers many methods of encrypting and decrypting images in the past and provides an introduction to cryptography. © 2024 the Author(s).

关键词： Steganography

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Research on Edge to End Collaborative computing Unloading Based on Deep reinforcement learning 5

Research on Edge to End Collaborative Computing Unloading Ba...

引用

5th international conference on Electronics and communication Technologies, ECT 2023

作者： Xu, Hengyuan Wang, Zhe Lina, Ge Jing, Zou GuangXi University for Nationalities College of Electronic Information GuangXi China GuangXi University for Nationalities College of Artificial Intelligence GuangXi China

ISBN: (纸本)9798350307719

To address the limited computing resources and real-time data processing requirements of mobile devices in the mobile edge network environment, this paper proposes a deep reinforcement learning-based edge-cloud collaborative computing offloading method. Specifically, considering computational resources, bandwidth, and task offloading strategies comprehensively, we formulate the problem of minimizing task execution delay, energy consumption, and cost for all mobile devices. Based on this, we design an online coordinated offloading algorithm using deep reinforcement learning, which transforms the cost minimization problem into an optimal offloading strategy problem under Markov decision process framework. the best task offloading strategy is obtained by utilizing experience replay for solution. Experimental results demonstrate that the proposed algorithm exhibits good convergence and outperforms other methods in terms of system performance. © 2023 IEEE.

关键词： Energy utilization

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Distributed data storage auditing scheme in fog computing environment 5

Distributed data storage auditing scheme in fog computing en...

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5th international conference on Computer communication and Network Security, CCNS 2024

作者： Wang, Yi Yang, Lihao Liu, Wang Chen, Dongdong Gu, Ke School of Computer & Communication Engineering Changsha University of Science & Technology Hunan Changsha China Xiangtan Chengfa Technology Group Co. Ltd. Hunan Xiangtan China

ISBN: (纸本)9781510681842

With the continuous innovation of wireless communication technology, fog computing-based distributed storage serves as a useful complement to centralized cloud computing and is trending towards large-scale deployment driven. However, for the distributed storage scenario in fog computing, there is currently a lack of effective data auditing methods. this article proposes a distributed data storage auditing scheme in fog computing environment. In our scheme, we first design a distributed storage model based on fog computing. In this model, we use threshold secret sharing technology to divide the outsourced data into multiple blocks and upload them to multiple fog servers to effectively solve the single point of failure and achieve privacy protection. In addition, we have established a fog device audit consensus group based on the verifiable random function (VRF), which ensures the correctness of audit results through consensus among members. In addition, this article proposes a lightweight validator generation algorithm to address the issue of limited resources at the user end. Finally, experimental results show our distributed data storage auditing scheme is efficient and effective. © 2024 SPIE.

关键词： Fog computing

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Health Care Data Mining using Intelligent Classification Techniques 5

Health Care Data Mining using Intelligent Classification Tec...

引用

5th IEEE international conference on Advances in computing, communication Control and Networking, ICAC3N 2023

作者： Antil, Jyoti Rishi, Rahul Sharma, Sonia Yadav, Rajkumar University Institute Of Engineering And Technology Mdu Dept. Of Computer Science Engineering Hrayana Rohtak India University Institute Of Engineering And Technology Mdu Dept. Of Electronic And Communication Engineering Hrayana Rohtak India

ISBN: (纸本)9798350330861

Classification models can be learned from complicated multivariate temporal data and this is a topic we investigate in electronic health record systems. the difficulty is to come up with a collection of attributes that accurately reflect the data's temporal nature. Using temporal abstractions and pattern mining, we extract the classification features from the data. there are frequently a lot of temporal patterns that aren't related to the classification job that are returned by temporal pattern mining. © 2023 IEEE.

关键词： Classification (of information)

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An overview Scientific cloud computing Web-based cloud services issues and challenges 5

An overview Scientific Cloud computing Web-based cloud servi...

引用

5th international conference on Information Management and Machine Intelligence, ICIMMI 2023

作者： Majumder, Sayan Raju, Kommisetti Murthy Arya, Nancy Shaik, Nazeer Tiwari, Sanjay Singh, Akanksha Department of cyber security The Heritage Academy Kolkata India Department of Electronics and Communication Engineering Shri Vishnu Engineering College For Women Bhimavaram India Department of Computer Science and Engineering Shree Guru Gobind Singh Tricentenary University Gurugram India Department Of Computer Science and Engineering Srinivasa Ramanujan Institute Of Technology-Autonomous-Anantapur Andhra Pradesh India Department of Computer Science and Engineering ARYA Institute of Engineering Technology and Management Jaipur India Computer Science and Engineering Babu Banarasi Das University Lucknow India

ISBN: (纸本)9798400709418

this research investigates the crucial role of cloud computing services in web development for creating scalable applications. Our study explores the benefits, challenges, and best practices associated with leveraging these services. Real-world case studies will be examined to showcase their significance. Additionally, we examine the integration of blockchain technologies in cloud-based web development and their potential impact on scalability. this paper presents a comprehensive analysis of the indispensability of cloud computing services in building scalable applications for the web. this research project delves into the transformative impact of cloud computing services on the field of web development. By providing scalable and flexible infrastructure, these services have revolutionized the way applications are built. through an in-depth analysis of benefits, challenges, and best practices, along with real- world case studies, the project highlights the indispensable nature of cloud computing in creating scalable web applications. Furthermore, the exploration of blockchain integration within cloud-based web development offers insights into potential advancements in scalability and opens new avenues for innovation in the field. Additionally, the integration of blockchain technologies in cloud-based web development is investigated, providing insights into its potential impact on scalability and fostering innovation in the field. the research presents a comprehensive analysis of the indispensability of cloud computing services in creating scalable web applications and highlights their transformative impact on the development process. © 2023 ACM.

关键词： Blockchain

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Virtual Modelling and Loss Study of Permanent Magnet Synchronous Motor used in Electric Pickup Truck 5

Virtual Modelling and Loss Study of Permanent Magnet Synchro...

引用

5th international conference on Control, communication and computing, ICCC 2023

作者： Rahul, M.A. Vijayasree, G. Mini, V.P. College of Engineering Department of Electrical Engineering Trivandrum India

ISBN: (纸本)9798350334128

Electric vehicles (EV) are getting common nowadays. Permanent Magnet Synchronous Motors (PMSM) are one of the widely employed motors in EV applications. High power density, efficiency, compact size etc make them an excellent candidate for EV propulsion. the paper discusses design, virtual modeling and loss study of a PMSM, used in an electric pickup truck, using Ansys Maxwell. © 2023 IEEE.

关键词： Synchronous motors

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ASIC acceleration of floating-point arithmetic: Empowering fast and reliable computations 5th

ASIC acceleration of floating-point arithmetic: Empowering f...

引用

5th international conference on Advances in AI for Biomedical Instrumentation, Electronics and computing, ICABEC 2023

作者： Siddireddy, Kapileswarreddy Hegde, Ganapathi Department of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9781032642987

Modern computer systems are fundamentally based on floating-point arithmetic, which enables high precision computations and the execution of intricate algorithms in hardware. Floating-point units (FPUs) are designed and implemented for use in Application Specific Integrated Circuits (ASICs). In this study, I focused on the difficulties and trade-offs associated with obtaining high performance and low power consumption. Here, I discuss several methods for incorporating FPUs in ASIC designs, such as dedicated units and floating-point arithmetic and its benefits. the performance and power use of several FPU designs on a 45nm technology node are also shown in the experimental findings that we have presented. the study of binary operations is crucial to engineering science. Verilog-HDL is used to design, and Cadence is used to implement them. this paper also includes an analysis on suggested method’s area, power, and latency for various specifications. To effectively handle FPUs’ implementation by using tools like Genus, Tempus, Innovus. © 2024 the Author(s).

关键词： Application specific integrated circuits

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A Systematic Review of Optimal Task Scheduling Methods Using Machine Learning in cloud computing Environments 5th

A Systematic Review of Optimal Task Scheduling Methods Using...

引用

5th international conference on Advances in Information communication Technology and computing, AICTC 2024

作者： Patwari, Krishna Rao Kumar, Raghvendra Sastry, J.S.V.R.S. Department of Computer Science and Engineering GIET University Gunupur India GITAM University Telangana Hyderabad India

ISBN: (纸本)9789819761050

cloud infrastructure has enabled novel business models leading to exponential growth of cloud usage in diversified applications. Consumers of cloud offerings include individuals as well as organizations of different sizes. therefore, the workloads across the users are very dynamic in nature. Workloads consist of numerous jobs or tasks to be executed in cloud infrastructure. Due to dynamic nature of workloads, the cloud infrastructure usage and availability of free computing resources are also dynamic. In this context, the traditional heuristics-based algorithms are not capable of understanding runtime scenarios and fail to provide optimal scheduling benefits. therefore, it is important to explore artificial intelligence (AI)-enabled approaches like deep learning (DL) and machine learning (ML). From the systematic review of existing methods that are based on machine learning, it is understood that reinforcement learning (RL), a deep learning model, is suitable for improving performance in task scheduling. the rationale behind this is that RL is based on an agent making decisions based on the runtime state space, action space and feedback gained. this paper covers review of state-of-the-art methods from 2011 to 2023. this paper imparts insights to the reader regarding various facets of task scheduling in cloud environments, thereby opening the door to potential avenues for further research aimed at achieving more refined task scheduling models. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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Distributed Resource Allocation and Offloading Strategy Based on Deep Reinforcement Learning in V2V 5

Distributed Resource Allocation and Offloading Strategy Base...

引用

5th international conference on Natural Language Processing, ICNLP 2023

作者： Yali, Shi Zhi, Yang Chunyan, Xiao Xi' An University of Posts and Telecommunications School of Electronic Engineering Xi'an710121 China

ISBN: (纸本)9798350302219

Aiming at the communication range of vehicles leaving the edge server, a distributed computing offload scheme is proposed. this scheme divides the vehicle computing intensive tasks into multiple subtasks, makes full use of the computing resources of surrounding vehicles and considers the allocation of communication resources. the problem is modeled as minimizing the maximum processing delay of all subtasks, a resource allocation scheme based on DQN (RADQN) is proposed. the simulation results show that the proposed algorithm has certain advantages compared with the scheme without considering communication resource allocation, and it is still superior to other schemes when the service vehicle speed is fast. © 2023 IEEE.

关键词： Vehicles

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Performance Analysis on Optimal Data Integrity and Security-Constrained cloud Storage Framework with Meta-heuristic-Based Mechanism 5th

Performance Analysis on Optimal Data Integrity and Security-...

引用

5th international conference on Computer and communication Technologies, IC3T 2023

作者： Brindha, K. Karuppasamy, K. Kalaivani, K. CSE RVS College of Engineering and Technology Coimbatore India AIML Coimbatore Institute of Technology Coimbatore India

ISBN: (纸本)9789819997039

the cloud computation applications need a novel and effective framework to balance the security of their data. In cloud computing systems, security issues are considered becomes complicated, where the data storage is situated in various locations in the universe. cloud users worry about the main security constraints of cloud computing are data confidentiality and data integrity. therefore, this problem mentioned above in cloud computing is motivated for developing an efficient and secured cloud storage system by utilizing the optimization algorithm of the Pathfinder Algorithm (PFA). Further, the data are gathered from the benchmark data set. then, the collected data is fed into the optimal sensitive attribute selection stage along with the PFA application. Further, the optimal sensitive attributes are secured with the help of Optimal Minimum-Storage Regenerating Code (OM-SRC), where parameter optimization occurs with the PFA. the remaining non-sensitive attributes are secured with the utilization of the Shuffling Algorithm. Finally, the attributes like sensitive and non-sensitive are fused and uploaded into the cloud environment. the storage mechanism efficiency is tested and correlated with the other comparative algorithms. Finally, an effective examination of the suggested technique is done to show the effectiveness of changing the parameters. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： cloud storage

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