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3rd international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2025

作者： Suganya, N. Gouthami, P. Sathiya, R. Sivaranjani, S. Murugesan, M. Department of Computer Science and Business Systems Dr. N.G.P. Institute of Technology Coimbatore India Department of Information Technology Thangavelu Engineering College Chennai India Departement of Electrical and Electronics Engineering Sri Krishna College of Engineering and Technology Coimbatore India Departement of Electrical and Electronics Engineering Karpagam Institute of Technology Coimbatore India

ISBN: (纸本)9798331527549

A computing system that is based on the internet and offers users all resources as on-demand services. Servers, storage, databases, software, and networking are among these on-demand services. Usually, the user must pay for the use of the resources;they are not their property. The number of people using this technology is increasing dramatically as a result of these features. Although it has benefits, cloud computing poses certain security and privacy risks. The authorized user’s data can be stolen easily. This current research thoroughly investigates modern strategies to these problems, highlighting identity management protocols, effective encryption and blockchain-based solutions. The article identifies research gaps, focuses attention to the inadequacies of current approaches, and recommends the possible ways to improve the efficiency, scalability and trustworthiness. © 2025 IEEE.

关键词： Cloud security

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28th international conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and 23rd international conference on Information and Knowledge engineering, IKE 2024, held as part of the World Congress in Computer science, Computer engineering and Applied computing, CSCE 2024

28th International Conference on Image Processing, Computer ...

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28th international conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and 23rd international conference on Information and Knowledge engineering, IKE 2024, held as part of the World Congress in Computer science, Computer engineering and Applied computing, CSCE 2024

ISBN: (纸本)9783031859328

The proceedings contain 28 papers. The special focus in this conference is on Image Processing, Computer Vision, and Pattern Recognition. The topics include: Image-Based Seal Recognition: Approaches and Challenges in Current Automated Systems;Deep Learning Techniques for Lunar Impact Crater Identification Based on CCD and DEM Data;silicon Wafer Map Defect Classification Using Artificial Intelligence Models;low Light Image Enhancement Using Autoencoder-Based Deep Neural Networks;towards Elephants Intelligent Monitoring in Zakouma National Park, Chad;a Review of Multi-modal and Multi-view Applications in Hand-Drawn Sketch Images;residential Real Estate Image Classification for Property Valuation;Novel Method to Investigate Decay in Rotting Bananas Using RGB Color Images;lalitha: A Hand Gesture-Based Computer Control System;dishari: A Novel Gesture-Based Educational Application for Specially Challenged People;mobility Anomaly Detection with Intelligent Video Surveillance;Weakly-Supervised Video Anomaly Detection Using Modified Anomaly Score Module and Modified BERT;Contour Detection of Seeds Based on Traditional and Convolutional Neural Network (CNN) Based Algorithms;Early Detection of Lameness in Dairy Cattle Using Activity Data, Image Analysis, AI and ML - An Approach for Improved Animal Welfare and Economic Impact;implications for Designing Hawks Detection with Data Augmentation and Network Optimizations;a Review of Detecting and Quantification of Cracks Using Convolutional Neural Networks and Image Processing Techniques;using Linkage Context for Automated Correction in Unsupervised Entity Resolution;the Rising Threat Against Modern Technology in Cybersecurity;an Online Bookstore Design and Implementation;cybersecurity: Sight and Foresight;the Application of Blockchain Technology in the Transmission of Semiconductor Process Recipes;the Use of Social Media and the internet for the Facilitation of Human Trafficking.

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Parallelism Everywhere: The internet of Everything and Parallel computing 3rd

Parallelism Everywhere: The Internet of Everything and Paral...

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3rd international conference on internet of Everything, IoECon 2024

作者： Zhou, Kexing Chen, Juan College of Computer Science and Technology National University of Defense Technology Hunan410073 China

ISBN: (纸本)9783031844256

In today’s computing power era, AI model training, weather forecasting, aircraft design, and so on are inseparable from parallel computing. Parallel computing is everywhere. However, effectively tackling parallel computing tasks in real-world applications demands a deep connection of devices, people, processes, and data. This notion aligns with the core principle of the internet of Everything (IoE), which posits that connections generate value. Moreover, the continuing flourish of IoE relies on the parallel computing. This paper aims to reveal the connection and interaction between the IoE and parallel computing. It provides an overview of their development and outlines the profound influence of IoE on parallel computing. The three primary communication channels of IoE—people-to-people (P2P), machine-to-machine (M2M), and people-to-machine (P2M)—are embodied in parallel computing. The potential is substantial to research and develop IoE and parallel computing in years to come, and combining them will navigate multi-domain requirements. © ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Weather forecasting

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Location-Aware Reliable Task Cooperative-Computation Scheme Under Fog computing-Based IoVs

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IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS 2025年第1期26卷 425-442页

作者： Gu, Ke Liu, Zhenlin Jia, Weijia Changsha Univ Sci & Technol Sch Comp & Commun Engn Changsha 410114 Peoples R China Jingdezhen Univ Sch Informat Engn Jingdezhen 333000 Peoples R China Beijing Normal Univ Inst Artificial Intelligence & Future Networks Zhuhai 519087 Guangdong Peoples R China

Although many existing schemes were proposed to solve the time delay, energy consumption and system architecture issues of task offloading in internet of vehicles (IoVs), few task offloading schemes focus on the location and mobility of vehicle nodes, the reliability of vehicle nodes and communication links, and the workload of fog servers. In this paper, we propose a location-aware reliable task cooperative-computation scheme under fog computing-based IoVs. In comparison to many existing vehicular cooperative computing schemes, our scheme introduces a dual-layer (single-hop and multi-hop) cooperative vehicle assessment and selection mechanism based on the location-aware principle (such as proximity). The proposed mechanism involves a detailed evaluation for cooperative vehicles from three perspectives: the reliability of cooperative vehicle nodes, the reliability of communication links, and the availability of idle computing resources. The comprehensive evaluation is designed to further facilitate the task allocation between the required tasks and the cooperative vehicles. Under the condition of meeting task requirements, the fog server can select closer (single-hop), more reliable vehicles with greater available computing resources to accomplish related sub-tasks for customer vehicles. Additionally, we further propose an enhanced Hungarian algorithm for task allocation among required sub-tasks and selected cooperative vehicles, which can effectively assign corresponding sub-tasks to suitable cooperative vehicles to reduce the fragmentation of vehicular resources and enhance the utilization of vehicular resources. Experimental results demonstrate the effectiveness of our location-aware reliable task cooperative-computation scheme under fog computing-based IoVs.

关键词： Reliability Servers Cloud computing Resource management Edge computing Delays internet of Vehicles Computer architecture Processor scheduling Wireless communication internet of vehicles fog computing task offloading location-aware cooperative-computation

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The Impact of the internet of Everything on Green Cloud computing 3rd

The Impact of the Internet of Everything on Green Cloud Comp...

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3rd international conference on internet of Everything, IoECon 2024

作者： Ma, Zhaoyang Chen, Juan Yuan, Yuan Xu, Tao College of Computer Science and Technology National University of Defense Technology Hunan410073 China

ISBN: (纸本)9783031844256

In today’s world, the demand for computing power and the need for environmental protection and energy saving have made Green Cloud computing (GCC) popular in various fields. Customers from all over the world can access processing power and resources through cloud computing. It offers excellent performance and cost savings compared to specialized HPC devices. However, cloud computing will use many data centers, resulting in considerable energy consumption and a large amount of carbon dioxide emissions. Green Cloud computing was created to solve this problem using recycled energy and sustainable and energy-efficient methods. For Green Cloud computing, IoE allocates energy and computing resources more reasonably. At the same time, IoE promotes the concepts and techniques of Green Cloud computing to reduce carbon emissions further. The internet of Everything will more deeply influence the application of Green Cloud computing and various fields by connecting people, data, and machines. This paper provides an overview of the history of the internet of Everything and Green Cloud computing. The internet of Everything is widely used and has been shown to impact Green Cloud computing profoundly. There is great potential for developing the internet of Everything and Green Cloud computing in the short future and significantly promoting sustainable computing development. © ICST Institute for Computer sciences, Social Informatics and Telecommunications engineering 2025.

关键词： Cloud platforms

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Scheduling Policies in Edge computing for Real-Time Video Analytics 3

Scheduling Policies in Edge Computing for Real-Time Video An...

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3rd international conference on Intelligent Data Communication Technologies and internet of Things, IDCIoT 2025

作者： Shreevatsan, S.S. Annambhotla, Yasasree Lasya Reji, Anaswara Rajagopal, Shinu M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798331527549

This study compares different scheduling algorithms used in edge computing for real-time video processing. Instead of sending video data to cloud servers, the video is processed directly at the edge, reducing delays and saving bandwidth. The focus is on how different scheduling methods manage resources, prioritize tasks, and reduce the time it takes to analyze video. The algorithms are tested in simulated environments to understand how they impact system efficiency and performance. The goal of this work is to find the best scheduling policies for real-time video processing at the edge, improving overall system performance and scalability. © 2025 IEEE.

关键词： Scheduling algorithms

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Analysis and design of pervasive computing intelligent surveillance system integrating optical sensors and behavioral analysis for industrial internet 2

Analysis and design of pervasive computing intelligent surve...

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2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yao, Di Luo, Chenyao Cheng, Weiwei Song, Huaju Beijing100083 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China School of Environmental Science NanJing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

Nowadays, the surveillance system performing as an indispensable part for modern industrial internet has attracted much attention. With the continuous progress of microprocessor technology, sensor technology, particularly optical sensors, and network technology, it has entered the era of pervasive computing, which leads to the breakthrough of the surveillance system and the emergence of intelligent environment safety monitoring systems. However, the intelligence of surveillance systems is still a significant challenge. In this paper, we propose a surveillance system for detecting and recognizing people based on their behaviors from images or video sequences using computer vision techniques and optical sensor data, which is implemented by designing the system architecture through a hierarchical structure, applying key techniques such as background subtraction, modeling, and optical sensing analysis, and experimentally processing and testing a variety of behavioral samples. The alarm information generated by the proposed surveillance system aided by pervasive computing system can be delivered to remote terminals. Experimental results reveal that the environmental monitoring and alarm information can be processed in real time with devices, such as cell phones, telephones, and PCs. Therefore, the proposed approach can improve the performance of the surveillance systems. © 2025 SPIE.

关键词： Alarm systems

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Guest Editorial Special Issue on Integrating Cognitive IoT Sensors With AAVs in Aerial computing—Next-Generation Industrial Systems

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IEEE internet of Things Journal 2025年第9期12卷 11205-11206页

作者： Sangaiah, Arun Kumar Mukhopadhyay, Subhas Lin, Yi-Bing Atiquzzaman, Mohammed Budinska, Ivana National Yunlin University of Science and Technology International Graduate School of Artificial Intelligence Douliu64002 Taiwan Macquarie University School of Engineering Macquarie ParkNSW2113 Australia National Yang Ming Chiao Tung University College of Artificial Intelligence Hsinchu30010 Taiwan China Medical University College of Artificial Intelligence Taichung404 Taiwan University of Oklahoma School of Computer Science NormanOK73019 United States Institute of Informatics Slovak Academy of Sciences Bratislava811 04 Slovakia

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Edge- AI and internet of Things for Intelligent Systems: Architectures, Applications and Future Perspectives 15th

Edge- AI and Internet of Things for Intelligent Systems: Arc...

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15th international conference on e Infrastructure and e Services for Developing Countries

作者： Diop, Fatou Faye, Babacar Mbaye Niang, Ibrahima Cheikh Anta Diop Univ Dakar Senegal

ISBN: (纸本)9783031815720;9783031815737

In an era where connectivity is ubiquitous and data flows ceaselessly, Edge IoT (internet of Things) systems have emerged as a pivotal technological paradigm poised to revolutionize the way we interact with the digital world. As the proliferation of IoT devices continues unabated, the traditional cloud-centric model for data processing and decision-making faces significant challenges. Edge IoT systems, by shifting computational intelligence closer to the data source, offer a compelling solution to these challenges, promising greater efficiency, lower latency, and enhanced real-time decision-making capabilities. On the other hand, the convergence of edge computing, artificial intelligence (AI), and the internet of Things (IoT) has ushered in a new era of intelligent systems with transformative potential across various domains. This includes the development of edge computing infrastructure, AI models optimized for edge deployment, and IoT device architectures that support real-time data processing and analysis. This paper proposes a comprehensive review on Edge computing, AI, and IoT integration for intelligent systems. We focus on the concept of Edge-AI and its potential applications in real-time processing for internet of Things. The paper introduces Edge-IA technology, explores commonly used networking and messaging protocols in IoT, and discusses the opportunities and challenges of Edge-IA and IoT in various industries, including agriculture and healthcare.

关键词： internet of things Edge computing Artificial intelligence Edge-AI

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On development of a pervasive computing aided assistive systems for the elderly in internet of Things 2

On development of a pervasive computing aided assistive syst...

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2nd international conference on Big Data, Computational Intelligence, and Applications, BDCIA 2024

作者： Yao, Di Xing, Yutao Luo, Chenyao Song, Huaju Beijing100083 China School of Electronic and Optical Engineering Nanjing University of Science and Technology Nanjing210094 China Portland Institute Nanjing University of Posts and Telecommunications Nanjing210003 China School of Environmental Science Nanjing XiaoZhuang University Nanjing210017 China

ISBN: (纸本)9781510689053

With the rapid development of sensors, wireless communication, and computing technology, internet of Things (IoT) has gained significant research interest. In particular, increasing people-oriented applications and systems have been developed to improve the quality of life with intelligent services. In this paper, we propose a situational awareness system based on pervasive computing. In response to the current situation of a large number of elderly people living alone or lacking care, an intelligent assistance system model for elderly people living alone is proposed, aiming to solve problems such as forgetting to turn off lights caused by memory decline, falls caused by mobility impairment, and loss of dementia elderly people. Furthermore, we adopt the OSGi architecture to implement the proposed system. In addition, a virtual device module is designed to shield underlying device heterogeneity ensuring seamless collaboration between devices and services. To further enhance the system's capabilities, optical sensors are integrated for intelligent health monitoring, enabling real-time tracking of vital signs such as heart rate and respiratory rate, as well as early detection of potential health anomalies. To make services transparent to users, we explore the integration methods of distributed sensors and intelligent devices in pervasive computing environments. Experimental results indicate that the system can effectively improve the comfort and safety of elderly people's lives, enhance the convenience of daily affairs and risk prevention and control capabilities. Therefore, the developed system not only provides a technical framework for intelligent assistance systems for the elderly, but also has significant implications for the application of pervasive computing in the field of social welfare. © 2025 SPIE.

关键词： Assistive technology

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