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检索条件"任意字段=International Conference on Computing Communication Control and Automation"

共 63738 条记录，以下是131-140 订阅

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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...

引用

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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Predictive Analytics and automation in Supply Chain Management with Internet of Things (IoT) 3

Predictive Analytics and Automation in Supply Chain Manageme...

引用

3rd international conference on Integrated Circuits and communication Systems, ICICACS 2025

作者： Yesodha, Karthik Kalyan Raj Kumar Rajendran, Prabhakaran Bhalerao, Manoj Gupta, Ketan Yuvaraj, N. Supply Chain and Manufacturing Caterpillar Inc BloomingtonIL United States Cscs Llc CummingGA United States Hub Group Oak BrookIL United States University of The Cumberlands Department of Information Technology WilliamsburgKY United States Sri Shakthi Institute of Engineering and Technology Department of Computer Science and Engineering Coimbatore India

ISBN: (纸本)9798331508456

Predictive analytics and automation with the Internet of Things (IoT) is a growing trend in supply chain management. The generation permits cost-efficient operations and organizations to reveal and control their supply chain systems. The combination of predictive analytics algorithms and automatic structures can offer insights into supply chain operations, expect adjustments in customer demands, and allow agencies to plan better and put things together for the future. IoT can also be used to screen supply chain techniques, become aware of regions for development, and proactively manipulate potential disruptions. U sing IoT -based analytics and automation, advantages that include increased visibility in supply chain operations, elevated customer satisfaction, and cost-effective supply chain processes may be achieved. Furthermore, predictive analytics and automation can help improve choice-making with actual-time records insights and ensure everyone's tactics are optimized for efficient performance. © 2025 IEEE.

关键词： Supply chain management

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Model Predictive control for Contour control in Biaxial System 3rd

Model Predictive Control for Contour Control in Biaxial Syst...

引用

3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

作者： Li, Haoyu Fan, Hao Gu, Chaochen Wu, Kaijie Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789819616930

To enhance the contour accuracy of biaxial systems, this paper proposes a compensation method that models independent single-axis systems and then couples multiple servo axes through model predictive control algorithm. Building upon this method, contour and tracking error are introduced as optimization variables in the cost function. The experimental results demonstrate that the method works effectively on contour control and enhances system performance. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Model predictive control

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Implementing RDMA over Soft-RoCE with Basic eBPF Monitoring: A Cost-Effective Approach for High-Performance Data communication

Implementing RDMA over Soft-RoCE with Basic eBPF Monitoring:...

引用

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

作者： Kagal, Suresh Narasimha Murthy, M.S. Mutalikdesai, Tejas Yugal Kishore, V. Tejaswini, T.V. Bms Institute of Technology and Management Dept. of Information Science & Engineering Karnataka Bengaluru India

ISBN: (纸本)9798331538538

RDMA is a technology that enables extremely fast communication between different systems by allowing these systems to transfer data without using the CPU and operating system. This results in the rapid transfer of data and reduces latency in data transfer. RDMA, brings more efficiency in moving the data between systems, improving general performance and responsiveness in many applications as CPU is not involved in the data transfer. Traditional RDMA solutions usually require special and costly hardware, such as RoCE adapters. This can make them less accessible for companies with lesser budgets. Soft-RoCE is a software-based solution that brings RDMA capabilities to standard Ethernet hardware. In this way, we can replicate the benefits that RDMA offers without the expensive equipment, hence making it possible in environments where it would not have been feasible. Also, an innovative monitoring framework using eBPF is introduced, which offers comprehensive real-time intelligence to RDMA performance by decreasing the latency and throughput. © 2025 IEEE.

关键词： Budget control

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Model Migration and Joint communication and computing Resource Allocation in Native AI Wireless Networks 3rd

Model Migration and Joint Communication and Computing Resour...

引用

3rd international conference on Machine Learning, Cloud computing and Intelligent Mining, MLCCIM 2024

作者： He, Zhimin Deng, Juan Li, Yaru Wang, Xiaoyun China Mobile Research Institute Beijing China ZGC Institute of Ubiquitous-X Innovation and Applications Beijing China China Mobile Communications Group Corporation Beijing China

ISBN: (纸本)9789819616930

As artificial intelligence (AI) continues to drive industrial upgrading, the demands for efficient and real-time AI services have escalated. However, meeting these demands poses challenges, particularly within the framework of 5G networks, where the infrastructure for providing AI services lacks real-time collaborative control over the required resources, such as the limited communication, computing and model resources. Anticipating the future of 6G networks, this paper advocates for the design with native AI integration from inception, leveraging wireless network infrastructure for ubiquitous real-time AI services. In this case, we address the issue of limited computing, model resources by proposing a distributed optimal resource utilization model migration algorithm. Additionally, a joint communication and computing resources allocation algorithm, based on a greedy strategy, is introduced to enhance resource utilization and support a higher number of AI inference tasks. Simulation results demonstrate that the performance of the proposed algorithm can approach the exhaustive search scheme at lower computational complexity. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： 5G mobile communication systems

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Toward a More Realistic Energy Consumption Model for IoT Nodes in Extreme-Edge computing Environments 10

Toward a More Realistic Energy Consumption Model for IoT Nod...

引用

10th international conference on Internet of Things, Big Data and Security, IoTBDS 2025

作者： Hammoud, Hassan Weis, Frédéric Leclerc, Melen Bonnin, Jean-Marie IRISA IMT Atlantique Rennes France IGEPP INRAE Le Rheu France IRISA Rennes University Rennes France

ISBN: (纸本)9789897587504

As Internet of Things (IoT) networks grow, accurately modeling the energy consumption of individual IoT nodes has become essential for understanding and managing energy use in diverse applications. In extreme-edge computing scenarios, where processing is pushed as close to the device as possible to support local data manipulation, memory operations play a substantial role in power consumption. However, existing models in the literature primarily focus on communication, processing, and sensing, often overlooking the contribution of memory operations to overall energy use. This paper presents an extended energy model for IoT nodes, incorporating memory-related energy usage alongside traditional factors. Results show that addressing memory usage within the energy model provides a more comprehensive understanding of consumption patterns, supporting more effective management strategies for IoT applications. Furthermore, we propose an approach that optimizes power consumption by implementing data management techniques that efficiently handle data retrieval and storage. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Energy utilization

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Design and Development of IoT Smart Driving Protocol for Unmanned Ground Vehicles 6

Design and Development of IoT Smart Driving Protocol for Unm...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Seelam, Santhosh Kumar Nagakishore Bhavanam, S. Midasala, Vasujadevi Reddy, Edara Sreenivasa Department of Computer Science and Engineering University College of Engineering and Technology Acharya Nagarjuna University Andhra Pradesh Guntur India Jabalpur Madhya Pradesh Barela India Department of Computer Science and Engineering VIT-AP University Andhra Pradesh Amaravati India

ISBN: (纸本)9798331522667

UGVs have enormous potential in industries such as defense, agriculture, and autonomous transportation. Efficiency and effectiveness can be achieved by UGVs through the sophistication of their control systems, mainly with regard to navigation and decision-making. In this study, a new IoT-based smart direction control system is proposed for UGVs. The system presented herein integrates state-of-the-art sensor fusion techniques against the backdrop of a robust and adaptive communication framework for enhanced navigation accuracy and reduced latency, with the overall goal of improving system efficiency. Equipped with GPS, IMU, and LiDAR sensors, our system provides accurate environmental perception and real-time adaptability to various terrains. The heart of this device is a high-performance, military-grade microcontroller, which ensures the reliability and handling of numerous data streams simultaneously with minimal latency. On the software side, modular design makes use of edge computing and machine learning algorithms to facilitate adaptive control and real-time decision-making. The performance was verified by rigorous testing in simulated environments and real-world field trials. The results show an improvement in the navigation accuracy and system responsiveness compared to previous solutions. A comparative deep analysis shows the superiority of our approach to hardware design, software integration, and prototype testing. © 2025 IEEE.

关键词： Adaptive control systems

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Industrial and Home automation using Facebook Messenger Chatbot and PaaS 3

Industrial and Home Automation using Facebook Messenger Chat...

引用

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

作者： Selvalakshmi, S. Ravi, S. Kumar, A.T.A. Kishore Devi, S. Durga Sunheriya, Neeraj Attar, Hani Rmk Engineering College Department of Electronics and Instrumentation Engineering Chennai India Saveetha School of Engineering Department of Vlsi Microelectronics Chennai India School of Engineering Department of Ece Andhra Pradesh Tirupati India Vel Tech High Tech Dr. Rangarajan Dr. Sakunthala Engineering College Department of Cse Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Zarqa University Department of Energy Engineer Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509675

A set of communication protocols that allows interconnected devices on the internet to communicate with each other. A proposed IHM-FMP model integrates Messenger Chat bot functionality and Platform as a Service (PaaS) architecture for efficient home automation and security. Utilizing hardware components like Raspberry Pi, relay modules, and sensors, along with TCP/IP protocol for internet connectivity, the system enables remote control of home appliances and security features. Through Messenger Chat bot integration, users can easily command devices via Facebook Messenger, enhancing accessibility. The PaaS method ensures control with layers for remote access and management. Experimental results demonstrate the model's superiority in network throughput, delay, routing overhead, transmission accuracy, and energy efficiency compared to existing techniques. This holistic approach to home automation and security offers convenience, accessibility, and robust performance, making it an effective solution for modern households. © 2025 IEEE.

关键词： Chatbots

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Design and Implementation of Eco - Lift automation

Design and Implementation of Eco - Lift Automation

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： P.S. Mayurappriyan Gokulakrishnan R Shriman S Surjit A M Electronics and Instrumentation Engineering Kumaraguru College Of Technology Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Eco Lift automation is a smart elevator system that uses a Programmable Logic controller (PLC) and Human-Machine Interface (HMI) to optimize scheduling and power management. This system addresses the inefficiencies of traditional elevator systems by implementing a time-controlled operation strategy. The PLC executes real-time decision-making using the ‘MOV’ command, allowing selective floor access and speed regulation based on predefined schedules. The HMI interface provides an intuitive control panel for monitoring system performance, adjusting schedules, and diagnosing faults in real-time. By integrating automation, real-time scheduling, and energy optimization, Eco Lift automation significantly reduces operational costs and environmental impact while maintaining safety and reliability. This innovative approach to sustainable elevator management is ideal for residential, commercial, and industrial applications.

关键词： Schedules automation Costs Job shop scheduling Human-machine systems Programmable logic devices Tariffs Elevators Real-time systems Optimization

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Edge computing for Real-Time Decision-Making in Industrial automation Systems - A Comprehensive Review

Edge Computing for Real-Time Decision-Making in Industrial A...

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Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： R. Raffik V. J. Balamurugan N. Gopinath Pandian Department of Mechatronics Engineering Kumaraguru College of Technology Coimbatore Tamil Nadu India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The real-time decision-making potential brought by edge computing is disrupting industrial automation, transcending the speed-and-bandwidth limitations of traditional cloud computing. By enabling on-site data processing, edge computing effectively low-latency and responsive applications, e.g., predictive maintenance, process optimization, and autonomous robotics. This paper discusses edge computing architecture and deployment models, its hardware and software components, and networking infrastructure. The objectives to review are to analyze how edge computing facilitates real-time decision-making in automated industrial processes. The discourse is then fully addressed around the different core technologies, advantages, concerns, real-life instances, and future trends toward increasing efficiencies, lowering latencies, and making smart manufacturing possible. Integration of AI and machine learning at the edge levels make real-time analytics, thus improving efficiency and agility. Key challenges under consideration include security, scalability, and economic impact, along with their applications in the real world. Future direction encompasses AI-based analytics, energy-efficient edge devices, and seamless interoperability poised to change its status from enabler to disrupter concerning industrial automation.

关键词： automation Reviews Decision making Process control Real-time systems Energy efficiency Security Optimization Interoperability Edge computing

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