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检索条件"任意字段=International Conference on Advanced Communication Control and Computing Technologies*"

共 18322 条记录，以下是51-60 订阅

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A Greedy Dynamic Task Offloading and Service Management in V2V Networks 11

A Greedy Dynamic Task Offloading and Service Management in V...

引用

11th international conference on Vehicle Technology and Intelligent Transport Systems, VEHITS 2025

作者： Xing, Hanyang Chengdu China

ISBN: (纸本)9789897587450

This paper introduces an advanced framework for optimizing task offloading and service caching in Vehicle-to-Vehicle (V2V) communication networks. The proposed approach leverages a greedy algorithm to address key challenges such as offloading latency, energy consumption, and system overhead. By incorporating practical factors such as task size, server storage capacity, and task popularity, the framework efficiently allocates tasks, thereby reducing computational delays and enhancing network performance. The effectiveness of the algorithm is validated through comprehensive simulations that demonstrate significant improvements in both time efficiency and resource utilization compared to existing methodologies. The results underscore the potential for future advancements in V2V networks, particularly in enhancing network stability under high-speed conditions and developing robust communication systems that maximize the use of roadside computational resources. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Decision Tree Game Theory Knapsack Algorithm Vehicle-to-Vehicle communication

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A Framework for Real-Time Monitoring of Power Consumption of Distributed Calculation on Computational Cluster

A Framework for Real-Time Monitoring of Power Consumption of...

引用

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

作者： Krechowicz, Adam Faculty of Electrical Engineering Automatic Control and Computer Science Kielce University of Technology al. 1000-lecia PP 7 Kielce Poland

ISBN: (纸本)9789897587474

This paper proposes a framework for real-time monitoring of the power consumption of distributed calculation on the nodes of the cluster. The framework allows to visualize and analyze the provider results based on the context information about the performed calculation. The first part of the framework is devoted to monitoring the power consumption during the execution of machine learning algorithms and the performance of NoSQL storage. The second part is dedicated to the testing of distributed data storage, called Scalable Distributed Two-Layered Data Structure (SD2DS). The results show that the framework can be used in the development of a management system that could schedule computations to take full advantage of renewable energy. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Cluster computing

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A Comprehensive Analysis of Deep Learning Techniques for Wheat Yellow Rust Disease Detection and Classification 3

A Comprehensive Analysis of Deep Learning Techniques for Whe...

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Mishra, Komal Kaur, Kawaljit University Institute of Computing Chandigarh University Punjab India

ISBN: (纸本)9798331527549

Puccinia striiformis f. sp. tritici, the pathogen responsible for yellow rust in wheat, poses a significant threat to global wheat manufacture, causing substantial economic and agricultural losses. The timely and precise detection and classification of yellow rust are dangerous for implementing effective disease management strategies and minimizing crop damage. This review explores the latest advancements in wheat yellow rust detection, focusing on the integration of conventional approaches with cutting-edge machine learning (ML) and deep learning (DL) approaches. ML techniques, such as support vector machines (SVM) and random forests;have proven effective in analyzing spectral data for disease classification. Meanwhile, advanced DL methods, containing ResNet-50 and GhostNet-V2, demonstrated superior accuracy, with models achieving up to 96% in categorizing disease severity. These advancements highlight the transformative potential of DL methods in enhancing precision and competence in disease detection. This review provides a comprehensive evaluation of current methodologies and their outcomes, offering valuable insights for future research and practical applications in agricultural disease management. © 2025 IEEE.

关键词： Convolutional neural networks

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AI-based Pneumonia Detection using a Deep Context Axial Reverse Capsule Neural Network with Sea-Horse Optimizer 3

AI-based Pneumonia Detection using a Deep Context Axial Reve...

引用

3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Mohideen AbdulKader, M. Tuteja, Ankush Joshi, Darsh Tholath, Joshua Bobby Department of Computing Technologies School of Computing SRM Institute of Science and Technology Kattankulathur Tamilnadu Chengalpattu India

ISBN: (纸本)9798331527549

Pneumonia detection with AI uses advanced deep learning algorithms for identifying the patterns in the chest X-ray images which makes diagnosis faster and efficient for physicians. AI-powered radiography improved the diagnostic approaches, even then existing methods face some limitations such as reduced accuracy and high computational costs. The Deep Context Axial Reverse Capsule Neural Network with Sea-Horse Optimizer (ADpCARCNNet+SHO) for pneumonia detection is proposed to overcome these challenges. This framework processes chest X-ray images from the Chest X-ray 14 dataset, beginning with Color Wiener Filtering (CWF) for noise reduction. Key features are then extracted using the Dynamic Range Quantized Discrete Haar Wavelet Transform (DRQDHWT), followed by classification using the ADpCARCNNet, optimized with the Sea-Horse Optimizer (SHO) to ensure high precision. Proposed method achieves a remarkable 99.9% accuracy on the Chest X-ray 14 dataset, outperforming existing techniques. The results demonstrate improved diagnostic accuracy, faster image analysis, enhanced reliability, and reduced computational cost, highlighting the potential of the ADpCARCNNet+SHO framework for efficient and reliable AI-driven pneumonia detection. © 2025 IEEE.

关键词： Diagnostic radiography

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Hive Destruction Protocol: An Automated Defense System Utilizing YOLO Human Recognition and Real-Time GPS Tracking 3

Hive Destruction Protocol: An Automated Defense System Utili...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Vyshak, T.M. Gaayana, G.R. Sarala, T. Dept. of Electronics and Communication Engineering Bnm Institute of Technology Affiliated to Vtu Bengaluru India

ISBN: (数字)9798331515911

ISBN: (纸本)9798331515911

The Hive Destruction Protocol (HDP) introduces a cutting-edge automated border defense system that enhances security operations through advanced human recognition using YOLO, precise GPS tracking, and coordinated drone responses. Soldiers are equipped with camera-integrated spectacles that facilitate the rapid identification of enemy targets via visual cues and hand gestures. Upon confirming a target, the system transmits accurate GPS coordinates in real time to autonomous drones, which are deployed to neutralize threats from multiple angles, creating confusion and minimizing detection risk. To ensure reliability and real-time processing in dynamic environments, HDP employs optimized communication protocols for secure data exchange between ground personnel and drones, allowing for seamless coordination among multiple units, each capable of independently engaging identified threats based on shared GPS data. The integration of machine learning algorithms improves the system even more flexible to changing field conditions, improving detection accuracy and robustness under various environmental constraints. Overall, the Hive Destruction Protocol represents a forward-thinking solution for border defense, leveraging artificial intelligence and automation to provide proactive and responsive capabilities in critical security applications. © 2025 IEEE.

关键词： Target drones

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A Sensor-Driven Automated Hydroponic System for Optimized Plant Growth in Diverse Environments 3

A Sensor-Driven Automated Hydroponic System for Optimized Pl...

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3rd international conference on Intelligent and Innovative technologies in computing, Electrical and Electronics, IITCEE 2025

作者： Joshitha, C. Ranga, Bobba Pandu Reddy, Bandi Harshini Nitin Koneru Lakshmaiah Education Foundation Department of Electronics and Communication Engineering Telangana Hyderabad500075 India

ISBN: (纸本)9798331515911

This research paper presents the design and implementation of an automated hydroponic system capable of managing both closed and open setups in indoor and outdoor environments. The system integrates sensors and microcontrollers to monitor, control, and display key parameters like temperature, humidity, Total Dissolved Solids (TDS) in the nutrient solution, water level, and pH. Through automated monitoring and control, it reduces the need for human intervention, ensuring optimal growth conditions and continuous plant health. The project is driven by the vision of enabling agriculture in any environment, regardless of geographical constraints. Hydroponics, a soil-less method of growing plants, forms the core of the system, allowing for cultivation beyond traditional soil-based farming. By applying these techniques, the system aims to overcome the limitations of conventional agriculture, enabling the growth of various plant species in diverse locations. Through the integration of microcontrollers and sensors, this automated hydroponic system ensures continuous monitoring and precise control of environmental conditions, significantly reducing the need for manual intervention. This research contributes to the advancement of agricultural technology by providing a sustainable solution to enhance food production while addressing the challenges faced by traditional farming. By leveraging automation and sensor technology, the system optimizes resource usage, reduces environmental impact, and empowers individuals to cultivate crops with minimal expertise. © 2025 IEEE.

关键词： Hydroponics

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Generating Accessibility: Using AI to Improve Higher Education for the Visually Impaired 17

Generating Accessibility: Using AI to Improve Higher Educati...

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17th international conference on Computer Supported Education, CSEDU 2025

作者： Schauer, Sophie Simbeck, Katharina Schüßler, Leon School of Computing Communication and Business HTW University of Applied Sciences Berlin Wilhelminenhofstraße Berlin Germany

ISBN: (纸本)9789897587467

Visually impaired students face many obstacles in higher education, including access to adapted course material. While accessibility is a legal requirement in many countries, its implementation is linked to practical challenges for educators. In this paper, we discuss the adaptation of existing course materials for blind students in a case study and propose using generative Artificial Intelligence to facilitate the creation of accessible educational materials, contributing to a more inclusive learning environment. We introduce and evaluate the tool TRAIL to generate accessible textual descriptions of lecture slides. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Students

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Enhancing Smart Grid Security with Quantum Cryptography: A BB84-based Framework 3

Enhancing Smart Grid Security with Quantum Cryptography: A B...

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Garg, Shail Gayatri, Yerukola Surya Kausthub, A. Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

The study investigates how quantum cryptography can be employed to improve security in smart grid communication networks. Attempting to use the BB84 QKD protocol, it allows secure creation and management of those cryptographic keys that cannot be broken with the help of quantum and traditional hacking techniques. It depends on symmetric encryption mechanisms like AES to provide high data confidentiality during transmission. Regarding the key management, the system provides a key management server that distributes keys to the grid nodes and performs key updating to ensure control with the managing authority. It also presents reliability under practical conditions through performance analogs such as Quantum Bit Error Rates (QBER), and system latency. This approach shows that quantum cryptography can provide a highly secure and efficient communication network for the next-generation smart grid. © 2025 IEEE.

关键词： Smart power grids

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Research on dynamic network security detection technology based on SDN 4

Research on dynamic network security detection technology ba...

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4th international conference on Network communication and Information Security, ICNCIS 2024

作者： Zhao, Kai Beijing Polytechnic Beijing100176 China

ISBN: (数字)9781510688261

ISBN: (纸本)9781510688254

Traditional network architecture can no longer meet the development needs of technologies such as cloud computing and big data. SDN network architecture has the characteristics of high openness and programmability, which can quickly respond to changes in business requirements. SDN decouples the control management function of the network from the data forwarding function, simplifies network configuration work based on logic centralized controllers and open programming interfaces, thereby achieving a flat management mode and flexible data forwarding function. The centralized control and programmability of SDN networks also pose significant security threats to SDN. Based on the CSE-CIC-IDS2018 dataset, this article tests the performance of various intelligent learning algorithms, analyzes data flows, distinguishes normal data from abnormal data, improves detection accuracy, and has practical significance for the security defense of SDN networks. © 2025 SPIE.

关键词： Network security Computer security Network architectures control systems Machine learning Data transmission Defense and security Detection and tracking algorithms Information security Security technologies

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Blockchain based File Storage and File Sharing System with Time-Restricted Access using InterPlanetary File System 3

Blockchain based File Storage and File Sharing System with T...

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3rd international conference on Intelligent Data communication technologies and Internet of Things, IDCIoT 2025

作者： Venkat Prashanth, M. Hemesh Verma, K. Chauhan, Jaykishor Prasad Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bangalore India

ISBN: (纸本)9798331527549

This paper presents a file storage and sharing system implemented using IPFS Pinata, *** and Hardhat which offer decentralized, effective, and secure access to digital assets. This system also enables the ability to upload files to the IPFS network for distributed storage and the ability to share them with peers . It also implements a time based access control system using smart contracts to easily control access to the files uploaded. This innovation improves security and facilitates timely exchange of information while also eradicating the necessity of having to manage access. This is due to the versatility of blockchain’s unalterable nature together with IPFS distributed file-sharing system which provides a secure file-sharing method while keeping costs low and helps maintain adaptability. © 2025 IEEE.

关键词： Blockchain decentralized IPFS secure access Time Based Access Conrol

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