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检索条件"任意字段=International Conference on Intelligent Computing and Control Systems"

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Blockchain-Enabled intelligent Vehicle Communication systems: Trust Bit Rewards and Clustering for Autonomous Vehicles 3

Blockchain-Enabled Intelligent Vehicle Communication Systems...

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3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Nirmala, P. Saveetha School of Engineering Department of Electronics and Communication Engineering Chennai India

ISBN: (纸本)9798331509675

In the absence of a permanent infrastructure, the networks are utilized for temporary events, military operations, and disaster recovery. A Blockchain-Enabled intelligent Vehicle Communication systems: Trust Bit Rewards and Clustering for Autonomous Vehicles (BIVC-CA), an algorithm designed to ensure secure communication between devices and optimize efficient routing in intelligent vehicle systems, is also used to provide quick emergency response. Using blockchain, each vehicle is given its own Bit Trust ID to track its past data and calculate its trust levels. This system ensures transparency and trust between vehicles through cryptographic processes such as key generation, secure message encryption, and message verification, which improve overall communication security. It also includes an Emergency Vehicle Communication System (EUC) that uses OBU devices and sensors to detect collisions and send GSM-based rescue messages, greatly improving road safety and the efficiency of emergency operations. The road-based clustering model optimizes route selection considering traffic conditions and distances and organizes vehicles into clusters to ensure effective communication and coordination. Using the path distance algorithm, clustering is achieved by computing the similarity of routes and grouping accordingly for efficient route management with minimal network congestion. In addition, the model introduces a comprehensive network architecture that integrates vehicle cloud technology and blockchain technology, enabling intelligent vehicles to make quick decisions based on real-time data. With these integrated components, the BIVC-CA model provides a reliable framework for secure data transmission, intelligent routing, and rapid emergency response. This framework will ultimately improve the efficiency of intelligent vehicle systems and contribute to the development of advanced vehicle networks and smarter transportation solutions. We calculated the results with routing expe

关键词： Blockchain

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intelligent System for Real-Time Processing of High Resolution Aerospace Data 16th

Intelligent System for Real-Time Processing of High Resoluti...

引用

16th international conference on Application of Fuzzy systems, Soft computing and Artificial Intelligence Tools, ICAFS 2023

作者： Ibrahimova, Sevda R. Zeynalova, Adila B. Babayeva, Sevinj S. Hasanova, Sadagat I. Aliyeva, Gulshan R. National Aviation Academy BakuAZ1045 Azerbaijan Azerbaijan Technical University BakuAZ1073 Azerbaijan Azerbaijan University of Oil and Industry BakuAZ1010 Azerbaijan Azerbaijan University Baku Azerbaijan

ISBN: (纸本)9783031725050

Currently, data from various satellite systems are used in Azerbaijan. Therefore, the growing demand for satellite data can only be utilized by intelligent, real-time processing systems. Based on the models developed in this study, the possibilities of intelligent processing aerospace data in real-time studied. In this paper, the proposed intelligent system architecture is trained under sample conditions on an artificially enlarged remote sensing dataset and is adapted to recognize vegetation cover categories. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Aerospace intelligent Processing Real-time Recognition Remote sensing Resolution

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Navigating Interfaces: Gaze and Gesture as Multimodal Inputs

Navigating Interfaces: Gaze and Gesture as Multimodal Inputs

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2025 international conference on computing for Sustainability and intelligent Future, COMP-SIF 2025

作者： Sandeep Telkar, R. Ananya, R. Akanksha, S. Bhat, Dhanya M. Nireeksha, B. Pes Institute of Technology & Management Department of Aiml Shimoga India

ISBN: (纸本)9798331538538

The project Multimodal Maestro believes in a groundbreaking system of human-computer interaction (HCI) for the benefit of common users and people with disabilities. It provides two visual input methods which includes eye movement and hand gesture, the choice is made by the users based on their convenience and accessibility needs. For general users, Multimodal Maestro opens up a new realm of interaction allowing for a more intuitive and immersive connection with technology. To achieve this we have used the advanced embedded machine learning algorithms such as CNN, Douglas-Peucker, EAR(Eye Aspect Ratio)- based LDA(Landmark Detection Algorithm) and LSTM(Long Short Term Memory) which decodes gestures and very subtle eye movements, including blinks and shifts in gaze into commands including cursor movement, click, and screen element selection [3]-[28]. In tandem, hand gestures provide a natural and expressive alternative way to communicate with technology, thus enhancing the user experience, offering seamless handsfree control. For a person with disabilities, Multimodal Maestro is a game-changer, this will provide a very accessible tool for people with limited mobility to have a way to interact with technology without relying on any traditional input devices[10]. Gaze-based control gives a powerful and inclusive option for mobility-impaired users, while hand gestures provide an additional channel of communication with maximum freedom and independence offering flexibility and personalization, from these two complementary input methods, which is also a suite of adaptive, personalized, and accessible interface. For the first time, this system aims to make technology accessible to all users irrespective of their capabilities and preferences, directing a new challenging path where users can interact with computers in a way that is more natural, empowering and efficient. © 2025 IEEE.

关键词： Embedded systems

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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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Integrating AI into Software Engineering: A Critical Review and Future Directions

Integrating AI into Software Engineering: A Critical Review ...

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2025 international conference on intelligent control, computing and Communications, IC3 2025

作者： Aditya Pai, H. Sharath, K.R. Babalad, Kavita Guru Prasad, M.S. Chandrappa, S. Kumar, Pratik Mit School of Computing Mit Art Design and Technology University Pune India Department of Computer Science and Engineering Dehradun India School of Computing and Information Technology Reva University Bangalore India Bengaluru India Department of Computer Applications Dehradun India

ISBN: (纸本)9798331527495

The field of Artificial Intelligence (AI) has been witnessing a huge demand in the field of research, tools development, and applications of deployment. There are multiple software companies which are shifting their focus to developing AI systems, many are also deploying the AI paradigms to their current system. Correspondingly, the academic research community has also used AI paradigms to solve the traditional software engineering problems. AI has become very useful to the software engineering community. The paper also uses a survey of the most commonplace methods of using AI into the Software Engineering, that covers the methods for SE phases such as Requirements, Design, Development, Testing, Release, and Maintenance. The paper also aims in answering to the sufficient intelligence in the SE lifecycle, this evaluates the overlapping of the SE and AI domains, and challenge the current conventional wisdom of the state-of-the-art. © 2025 IEEE.

关键词： Software testing

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Optimization technology of ship real-time automation control system based on edge computing 2

Optimization technology of ship real-time automation control...

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

作者： Wang, Guangfu Wei, Jian CSSC System Engineering Research Institute Beijing100094 China

ISBN: (纸本)9781510689053

The rapid advancements in edge computing have opened new avenues for optimizing real-time control systems in maritime environments. Traditional centralized systems face challenges such as high latency, limited scalability, and dependency on stable network connections, which are particularly critical for ship automation systems. To address these challenges, this study proposes an innovative optimization framework for real-time ship automation control systems based on edge computing. The framework employs a multi-layered architecture, integrating edge, fog, and cloud layers to ensure efficient data processing and task execution. A dynamic task scheduling algorithm is developed to prioritize critical operations, reduce latency, and optimize energy consumption. Additionally, the framework incorporates fault-tolerant mechanisms, including predictive fault detection and redundancy strategies, to enhance system reliability. Scalability is achieved through adaptive resource allocation, allowing the system to handle increasing complexity without significant performance degradation. Experimental results demonstrate the framework's effectiveness in reducing task latency by up to 30%, improving energy efficiency by over 25%, and maintaining high task success rates even under fault conditions. These findings highlight the potential of the proposed framework to improve operational efficiency, reliability, and sustainability in real-time ship automation systems, addressing the unique demands of dynamic and resource-constrained maritime environments. © 2025 SPIE.

关键词： Edge computing

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Design and Analysis of TCP Connection States Using Finite Automata

Design and Analysis of TCP Connection States Using Finite Au...

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2025 international conference on computing for Sustainability and intelligent Future, COMP-SIF 2025

作者： Gamidi, Rohan Hemasri, M. Muppala, Tejaswi Vinitha Chowdary, A. Panda, Niharika Amrita School of Computing Amrita Vishwa Vidyapeetham Department of Computer Science and Engineering Bengaluru India

ISBN: (纸本)9798331538538

Transmission control Protocol (TCP) is a fundamental protocol in the Internet Protocol Suite, responsible for establishing reliable data transmission between devices in network communication. This study models TCP connection states using Non-Deterministic Finite Automata (NFA) and Pushdown Automata (PDA), specifically implementing the three-way hand- shake and data transfer processes through these formal methods. Each TCP state, from connection initiation to termination, is represented by corresponding automata states, demonstrating the applicability of Formal Language Automata (FLA) in illustrating TCP's state-driven structure. A side-by-side comparison of NFA and PDA, showing important distinctions in how each handles the complex flow of TCP - NFA provides the simplest solution because it is stateless. Still, the stack-based memory of PDA is better suited for the layered nature of TCP, where there are states for connection setup, data transfer, and connection teardown that can nest and recurse is provided. PDA, therefore, better meets these requirements for accurately capturing layered and memory- dependent processes of TCP communication. © 2025 IEEE.

关键词： Turing machines

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FuzzTheREST: An intelligent Automated Black-Box RESTful API Fuzzer 21st

FuzzTheREST: An Intelligent Automated Black-Box RESTful API ...

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21st international Symposium on Distributed computing and Artificial Intelligence

作者： Dias, Tiago Maia, Eva Praca, Isabel Porto Sch Engn ISEP Res Grp Intelligent Engn & Comp Adv Innovat & Dev P-4200072 Porto Portugal

ISBN: (纸本)9783031820724;9783031820731

Software's pervasive impact and increasing reliance in the era of digital transformation raise concerns about vulnerabilities, emphasizing the need for software security. Fuzzy testing is a dynamic analysis software testing technique that consists of feeding faulty input data to a System Under Test (SUT) and observing its behavior. Specifically regarding black-box RESTful API testing, recent literature has attempted to automate this technique using heuristics to perform the input search and using the HTTP response status codes for classification. However, most approaches do not keep track of code coverage, which is important to validate the solution. This work introduces a black-box RESTful API fuzzy testing tool that employs Reinforcement Learning (RL) for vulnerability detection. The fuzzer operates via the OpenAPI Specification (OAS) file and a scenarios file, which includes information to communicate with the SUT and the sequences of functionalities to test, respectively. To evaluate its effectiveness, the tool was tested on the Petstore API. The tool found a total of six unique vulnerabilities and achieved 55% code coverage.

关键词： Fuzzy Testing RESTful APIs Vulnerability Detection Code Security Artificial Intelligence

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A Comprehensive Survey on intelligent Reflecting Surfaces and Unmanned Aerial Vehicles Integration for Enhanced Communication in Massive Networks 11

A Comprehensive Survey on Intelligent Reflecting Surfaces an...

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11th international conference on Mechatronics and Robotics Engineering, ICMRE 2025

作者： Attar, Hani Ababneh, Jafar Hafez, Mohamed Rachini, Ali Solyman, Ahmed Bahy, Ramy M. Zarqa University Faculty of Engineering Zarqa Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Zarqa University Faculty of Information Technology Cyber Security Department Zarqa Jordan INTI-IU-University Nilai Faculty of Engineering Feqs Malaysia Department of Computer Science and Information Technology Jounieh Lebanon School of Computing Engineering and Built Environment Glasgow Caledonian University Glasgow United Kingdom Technical Research Center Cairo Egypt

ISBN: (纸本)9798331509293

intelligent Reflecting Surfaces (IRSs) offer a revolutionary approach to wireless communication by dynamically controlling the properties of electromagnetic waves. By manipulating wavefronts without requiring radio frequency links, IRSs can enhance spectrum and energy efficiency, reduce costs, and improve overall system performance. Unmanned Aerial Vehicles (UAVs) have garnered significant attention due to their mobility and adaptability. However, real-time data transmission between UAVs can be hindered by obstacles and security risks. By combining IRSs and UAVs, we can create unparalleled opportunities in demanding environments. Through coordinated movements and intelligent wave reflection, both systems can optimize wireless signal propagation. This paper provides a comprehensive review of IRS-assisted UAV communications. We explore existing research, introduce novel technologies and applications, and highlight potential research directions for developing low-cost and energy-efficient wireless systems. Additionally, we address current challenges and outline promising areas for future study. © 2025 IEEE.

关键词： Drones

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intelligent control algorithms for industrial automation systems

Intelligent control algorithms for industrial automation sys...

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2025 IEEE international Students' conference on Electrical, Electronics and Computer Science, SCEECS 2025

作者： Sarathkumar, D. Anil, A.R. Sivadasan, J. Jayakumar, T. Manivel, Murugesan Anandhakumar, C. Engineering Kongu Engineering College Department of Electrical and Electronics Tamil Nadu 638 060 India Sree Buddha College of Engineering Pattoor Department of Computer Science &engineering Kerala Alappuzha India Psr Engineering College Department of Electronics and Communication Engineering Tamil Nadu Sivakasi626140 India Nandha Engineering College Department of Electrical and Electronics Engineering Tamil Nadu 638052 India Karpagam Institute of Technology Department of Electrical and Electronics Engineering Tamilnadu Coimbatore641021 India Sri Ramakrishna Institute of Technology Department of Electrical and Electronic Engineering Tamil Nadu Coimbatore641010 India

ISBN: (纸本)9798331529833

Industrial automation has become a cornerstone of modern manufacturing, enhancing efficiency, reliability, and scalability. The integration of intelligent control algorithms, such as fuzzy logic, neural networks, genetic algorithms, and model predictive control, has revolutionized traditional automation systems, enabling more adaptive, efficient, and robust operations. This paper explores the application and impact of these intelligent control techniques in industrial settings. It highlights how machine learning algorithms can predict equipment failures, optimize processes, and enhance decision-making in real-time. Case studies are presented to illustrate the benefits and challenges of deploying these algorithms across various automated systems, such as robotic assembly lines, process control in chemical plants, and smart warehousing. Furthermore, the paper discusses the integration of these algorithms with industrial IoT (IIoT) platforms, facilitating seamless communication and data exchange between machines and control systems. The research also addresses the challenges of implementing intelligent control, such as computational complexity, security concerns, and the need for real-time processing. Finally, this study evaluates future trends, emphasizing the potential of combining artificial intelligence and deep learning techniques with industrial automation for a more adaptive and autonomous manufacturing ecosystem. © 2025 IEEE.

关键词： Genetic algorithms

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