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检索条件"任意字段=8th International Conference on Computing and Data Engineering, ICCDE 2022"

共 3648 条记录，以下是11-20 订阅

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Research on Key Technologies of computing Power Networks for Scientific computing 8

Research on Key Technologies of Computing Power Networks for...

引用

8th international conference on Electrical, Mechanical and Computer engineering, ICEMCE 2024

作者： Wang, Lu Tian, Chengfu Tian, Hongwei Li, Gufeng 91977 Unit Beijing China

ISBN: (纸本)9798331506230

the increasing demand for large-scale deployment of extensive data, driven by technologies like the internet of things, digital twins, and LLMs, alongside the development of data centers, challenges the conventional 'best effort' network model, necessitating a more sophisticated approach. this article explores the impediments encountered in scientific computing scenarios, including computing and storage transmission barriers, uncertain resource status, and coordination and scheduling complexities. It delves into pivotal technologies such as integrated converged networks, resource prediction and scheduling, and multi-cloud unified management to enhance the computing network architecture, offering insights into the applications of computing power networks. © 2024 IEEE.

关键词： computing power

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A privacy protection strategy based on homomorphic encryption and neural networks 24

A privacy protection strategy based on homomorphic encryptio...

引用

8th international conference on Electronic Information Technology and Computer engineering, EITCE 2024

作者： Liu, Lingli Du, Xiongxiong Ma, Mingcheng Wang, Dong Henan International Joint Laboratory of Intelligent Network Theory and Key Technology Henan University Henan Kaifeng China

ISBN: (纸本)9798400710094

In recent years, incidents of data abuse and privacy leakage remind people that improper use of big data technology can bring disastrous consequences. To realize the true value of data, data sharing is needed. this paper adopts a training method for a privacy-protecting neural network model based on homomorphic encryption in a cloud computing environment. It designs a piecewise linear activation function considering the role of the activation function for homomorphic computing. A ciphertext update strategy is proposed to control weight ciphertext noise growth. Combined with cloud computing, complex neural network computing tasks are entrusted to the cloud. Applied to data privacy protection, it is observed that AlexNet’s PPNN takes 293.5 seconds for inference on CIFAR-10 or MNIST. the lightweight architecture SqueezeNet generated by EVA amplifies AlexNet’s layers and adds rescaling. Although homomorphic encryption in SqueezeNet is slower, it reduces the delay to 72.7 seconds and ensures data security. © 2024 Copyright held by the owner/author(s).

关键词： Differential privacy

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Model-Based Framework for Continuous Adaptation and Evolution of Quantum-Classical Hybrid Systems 8

Model-Based Framework for Continuous Adaptation and Evolutio...

引用

8th international conference on the Art, Science, and engineering of Programming (Programming)

作者： Ishikawa, Fuyuki Saito, Shinobu Natl Inst Informat Chiyoda Ku Tokyo Japan NTT Comp & Data Sci Labs Musashino Tokyo Japan

ISBN: (纸本)9798400706349

Although quantum computing has been attracting increasing attention, hardware restrictions are tight in current implementations. Intensive design exploration is therefore essential to match requirements, such as the problem scale and acceptable error rate, with potential designs to combine quantum computing and classical computing. the design decision made in this way is often fragile as it is sensitive to the problem scale as well as still evolving quantum services. We need continuous design decision, or adaptation and evolution, given changes in requirements or environments. In this paper, we present a framework for model-based engineering to support the continuous adaptation and evolution of quantum-classical hybrid systems. Modeling in our framework involves not only potential designs, but also rationale or evidence of design decision, which often requires simulation and experiments. this focus allows for tracing and analyzing whether the past decision is still valid or not, or whether there is uncertainty and we need further simulation and experiments. the usage of the framework is demonstrated with an example problem from steel manufacturing.

关键词： Quantum Software engineering Hybrid Quantum computing Services computing DevOps Self-Adaptive Systems Models@run.time

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Enhanced Geospatial Raster data Protection: Harnessing Chaos Maps and DNA Encryption 8

Enhanced Geospatial Raster Data Protection: Harnessing Chaos...

引用

8th IEEE international conference on computing, Communication, Control and Automation, ICCUBEA 2024

作者： Bhangale, Prajakta Vaikole, Shubhangi Fr.Conceicao Rodrigues College of Engineering Mumbai Univeristy Mumbai India Datta Meghe College of Engineering Mumbai India Fr.Concicao Rodrigues Institute of Technology Mumbai India

ISBN: (纸本)9798350391770

Securing the transmission of digital images in geospatial data is vital, given its sensitive nature and diverse applications. Proper encryption and authentication scheme to ensure the confidentiality and integrity of the data and prevent unauthorized access. this proposed work investigates the approach in cryptography by integrating chaos mapping with DNA computing for creating robust image encryption system using Chirikov map and Chebyshiv Map. the research proposes a secure encryption framework for digital images using a security function, focusing on a disease detection module based on chaotic systems and DNA inspired techniques to generate the encryption key and image scrambling for the robustness of the encryption. Furthermore, the study combines chaos theory with DNA computing in encrypting data to secure maximum security and efficiency. © 2024 IEEE.

关键词： Chaos theory

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Synergizing Environmental computing, Agricultural engineering, and AI for Sustainable ICT Applications in Agriculture 8

Synergizing Environmental Computing, Agricultural Engineerin...

引用

8th IEEE international conference on computing, Communication, Control and Automation, ICCUBEA 2024

作者： Usmani, Usman Ahmad Sulaiman, Suliana Watada, Junzo Universiti Pendidikan Sultan Idris Perak Tanjong Malim35900 Malaysia Waseda University Tokyo Shinjuku City169-8050 Japan

ISBN: (纸本)9798350391770

this conference paper delves into the transformative synergy of Environmental computing, Agricultural engineering, and Artificial Intelligence (AI) to forge sustainable ICT applications in agriculture. By amalgamating these domains, the paper unravels how AI-driven insights are harnessed to optimize resource allocation, mitigate environmental impact, and empower precision farming practices. this fusion not only enhances agricultural productivity and efficiency but also lays the foundation for ecologically mindful agricultural activities. the integration of AI further enriches Agricultural engineering's potential by enabling data-driven decision-making through sensor data analysis, satellite imagery, and climate models, thus fostering resilience and productivity across the agricultural value chain. In sum, this exploration underscores the pivotal role of AI in shaping a sustainable future for ICT applications in agriculture through the harmonious interplay of Environmental computing and Agricultural engineering. © 2024 IEEE.

关键词： Agricultural engineering Artificial Intelligence (AI) Environmental computing Precision farming practices Sustainable ICT applications

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Optimizing Load Balancing in Edge computing: A Novel Algorithm Integrating Grey Wolf Optimizer and Tabu Search 24

Optimizing Load Balancing in Edge Computing: A Novel Algorit...

引用

8th international conference on Electronic Information Technology and Computer engineering, EITCE 2024

作者： Zheng, Liquan Tan, Long Heilongjiang University Heilongjiang Harbin China

ISBN: (纸本)9798400710094

the internet’s evolution has highlighted cloud computing’s limitations, such as latency and bandwidth issues, prompting interest in edge computing to address these. Effective load balancing is essential to fully leverage edge computing’s benefits and improve network service quality. Traditionally, cloud computing load balancing focuses on optimizing data center resources by dynamically adjusting virtual machines. Conversely, edge computing requires load balancing among edge servers, enabling collaboration where less burdened servers assist overloaded ones with task processing. this paper introduces an edge computing load balancing algorithm combining the Grey Wolf Optimizer (GWO) and Tabu Search (TS). GWO provides initial global exploration, and TS refines the solution through local exploitation, balancing exploration and exploitation. Experiments confirm the algorithm’s effectiveness in load balancing, response time, and energy efficiency, though further research is needed on its applicability across scenarios. © 2024 Copyright held by the owner/author(s).

关键词： Tabu search

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data Factors as a Source of Innovation: Evidence from Chinese Cloud computing Listed Firms 8

Data Factors as a Source of Innovation: Evidence from Chines...

引用

8th international conference on Cloud computing and Big data Analytics (ICCCBDA)

作者： Wang, Jun Li, Jiabei Sichuan Univ Chengdu Peoples R China

ISBN: (纸本)9781665455336

With the rise of digital economy, data has become a new factor of production. Based on data from A-share Chinese Cloud computing listed firms, this study examined the nexus between using data factors and corporate innovation. Empirical evidence indicates that Cloud computing listed firms have significantly increased their innovation performance in the process of using data factors, and this conclusion is still valid after a series of robust analyses. the rational use of data factors in daily business activities can help firms learn and apply external knowledge and technology. these findings provide useful policy implications for promoting the integration of data factors and corporate development to spur vitality of market entities at a micro level.

关键词： data factors corporate innovation cloud computing

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8th international conference on Computer Science and Application engineering, CSAE 2024

8th International Conference on Computer Science and Applica...

引用

8th international conference on Computer Science and Application engineering, CSAE 2024

ISBN: (纸本)9798400718090

the proceedings contain 26 papers. the topics discussed include: building extraction from high-resolution remote sensing image based on improved ResUNet network;a visual based algorithm for measuring the speed of scrap metal vibration feeding;semantic segmentation for virtual-real fusion data processing in nonferrous metal process industry;an evaluation method based on fuzzy model for the autonomous and controllable of the spacecraft component production;discrete-time physics-informed neural networks for two-phase flow interface capturing;comprehensive review: advancing cognitive computing through theory of mind integration and deep learning in artificial intelligence;and kinematics behaviors evaluation of a naval ship survival training simulation system in case of longitudinal shaking.

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Blockchain Enabled Security and Integrity in Cloud computing 8

Blockchain Enabled Security and Integrity in Cloud Computing

引用

8th international conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Dhanalakshmi, J. Pandeeswari, N. Ssm Institute of Engineering and Technology Dindigul India Psna College of Engineering and Technology Dindigul India

ISBN: (数字)9798350376425

ISBN: (纸本)9798350376425

the widespread adoption of cloud computing has created new opportunities but also introduced significant security challenges. this research focuses on addressing the critical issue of data security in cloud computing environments. Traditional security measures, such as encryption, are not always sufficient to protect data in cloud-based systems. this study proposes a novel approach that leverages blockchain technology to enhance data security and privacy. By integrating blockchain into cloud computing infrastructure, the proposed solution aims to address the challenges of data confidentiality, authentication, and integrity. this research study explores the potential of blockchain-based methodologies to safeguard APIs and network interfaces, reducing the risks of malicious activities, accidental breaches, and violations of service agreements. Additionally, the study addresses the complexities of multi-tenancy, which can pose threats to data confidentiality and integrity in shared cloud environments. the primary objective of this research is to create a secure and dependable computing environment for cloud computing service users, fostering trust and confidence in cloud-based solutions. By addressing critical data security and privacy concerns, this research contributes to the continued growth and adoption of cloud computing services. © 2024 IEEE.

关键词： Cloud security

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Navigating the Intersections of Quantum computing, DNA-Based data Storage, and Geospatial data Security: An Overview 8

Navigating the Intersections of Quantum Computing, DNA-Based...

引用

8th IEEE international conference on computing, Communication, Control and Automation, ICCUBEA 2024

作者： Bhangale, Prajakta Vaikole, Shubhangi Fr.Conceicao Rodrigues College of Engineering Mumbai Univeristy India Datta Meghe College of Engineering Mumbai India Fr. Concicao Rodrigues Institute of Technology Deaprtment Information Technology Mumbai India

ISBN: (纸本)9798350391770

In recent years, the intersection of quantum computing and bioinformatics has emerged as a captivating frontier, promising to reshape the landscape of biological sequence analysis. DNA's ability to store vast information and its stability make it a candidate for secure geospatial data storage. Quantum computing, exemplified by QKD, transforms encryption, enhancing security. Bio-inspired algorithms, emulating DNA sequences, optimise problem-solving. Combining these with quantum computing improves geospatial data security through protocol enhancements. Quantum bioinformatics explores quantum computing's potential in genetics and medicine, indirectly reinforcing data security. Integration of DNA-based storage with quantum encryption ensures highly secure data transmission. Geospatial data can be encoded in DNA sequences and encrypted for network transmission. this convergence promises enhanced data security, though implementation needs further research. Overall, these innovations hold potential for advancing geospatial data security. © 2024 IEEE.

关键词： Bio-inspired algorithms data transmission DNA-based data storage Genetic analysis Geospatial data security Personalized medicine Protocol optimization Quantum bioinformatics Quantum computing Quantum encryption

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