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2025 International conference on Electrical automation and Artificial Intelligence, ICEAAI 2025

作者： Shen, Xiangyu Xu, Yihang Zhuang, Weijian Xie, Nan College of Electrical Engineering and Automation Fuzhou University Fuzhou China

ISBN: (纸本)9798331506797

This paper proposes a non-contact measurement technique for the voltage of three-phase cables. The technique initially constructs an optimized analytical calculation model for the electric field distribution of three-phase cables. Subsequently, by combining measured electric field data from an array-type capacitive sensor and utilizing the potential coefficient matrix obtained through physical calculations, it enables precise determination of the voltages on the three-phase conductors. The maximum error does not exceed 3.3%. © 2025 ieee.

关键词： Non-contact measurement sensor array

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A Comprehensive Review of Robotics Advancements Through Imitation Learning for Self-Learning Systems 9

A Comprehensive Review of Robotics Advancements Through Imit...

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9th International conference on Mechanical engineering and Robotics Research, ICMERR 2025

作者： Jadeja, Yagna Shafik, Mahmoud Wood, Paul Makkar, Aaisha College of Science and Engineering University of Derby Derby United Kingdom

ISBN: (纸本)9798331509262

In recent years, robotics and artificial intelligence (AI) have witnessed significant growth, particularly in self-learning systems. This paper examines the remarkable progress made in this area, with a particular focus on the utilisation of imitation learning. Self-learning robotics systems have demonstrated the autonomous acquisition of new skills, making them highly adaptable and versatile. Imitation learning is a crucial technique that allows robots to gain knowledge from human demonstrations. This paradigm allows machines to learn and replicate human actions, thus enhancing the capabilities of self-learning robotic technology. The primary objective of this research was to investigate the potential of imitation learning and evaluate its impact on the advancement of self-learning robotics. This paper provides a comprehensive overview of self-learning robotic systems using imitation learning, examining the foundational concepts, essential methodologies, and various applications in this intriguing area. Furthermore, we highlight recent developments, discuss current trends, and outline potential research initiatives to guide the continued development of self-learning robotic systems using imitation learning. This review aims to contribute to the evolving landscape of autonomous robotics by consolidating knowledge, identifying challenges, and fostering further innovation in the pursuit of intelligent self-learning machines. © 2025 ieee.

关键词： Intelligent robots

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An Intelligent Security-Enabled Home automation System using Internet of Things Environment 3

An Intelligent Security-Enabled Home Automation System using...

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

作者： Karthikeyan, P. Dinesh, M. Akila, A. Veeramuthu, A. Giri, Jayant Al Sherideh, Ala'a Prathyusha Engineering College Department of Eee Tiruvallur Chennai India Saveetha School of Engineering Department of Vlsi Microelectronics Chennai India R.M.K. College of Engineering and Technology Department of Artificial Intelligence and Data Science Tamil Nadu Puduvoyal India Sathyabama Institute of Science and Technology Department of Information Technology Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Lovely Professional University Division of Research and Development Phagwara India Zarqa University College of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509675

IoT technologies to bolster residential security, safety, and sustainability. By leveraging facial recognition for door access, enhancing fire safety monitoring, and integrating energy harvesting, it aims to create more resilient and eco-friendly residential environments. These innovations offer comprehensive solutions to address evolving challenges and optimize residential living. The proposed research introduces an innovative smart home automation system leveraging IoT technologies and Google Assistant for the voice-controlled operation of household devices. It integrates a comprehensive array of sensors for safety and security monitoring, facilitating real-time alerts for fire outbreaks, unauthorized entry, and environmental anomalies. MQTT enables smooth remote access and management of devices. The research evaluates IoT routing protocols, highlighting ISHAS-IoTs's benefits in efficiency, delivery ratio, and delay. These findings underscore the protocol's potential to enhance IoT network performance and efficiency, contributing to the design of more robust and reliable smart home systems. © 2025 ieee.

关键词： Smart homes

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Computing Performance Analysis of IEC 61499 Distributed automation Systems 26

Computing Performance Analysis of IEC 61499 Distributed Auto...

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26th International conference on Industrial Technology, ICIT 2025

作者： Lyu, Tuojian Vyatkin, Valeriy Aalto University Department of Electrical Engineering and Automation Espoo Finland Luleå Tekniska Universitet Department of Computer Science Computer and Space Engineering Sweden

ISBN: (纸本)9798331521950

This work analyzes the computing performance of distributed control systems in IEC 61499 on two hardware devices, Dell XPS workstation and Raspi 4B. Based on the test IEC 61499 application, three different system configurations are tested to simulate the distribution options of singleprocess and single-thread, multi-threading, and multi-process on both hardware platforms. Experimental results show that multiprocess configurations yield more consistent execution time due to dedicated resource allocation, while multi-threading, though resource-efficient, can lead to latency variability. These results aim at help in choosing optimal configurations and selecting hardware for performance in distributed automation systems. © 2025 ieee.

关键词： Parallel processing systems

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IoT in Smart Homes: Enhancing Lifestyle Through Intelligent automation and Control 3

IoT in Smart Homes: Enhancing Lifestyle Through Intelligent ...

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3rd ieee International conference on automation and Computation, AUTOCOM 2025

作者： Sarada, W. Prashanth, K.V. Mary, A.Beneta Premkumar, K. Vijayan, Vinodh P. Radha, G. Rbvrr Women's College Department of Computer Science Narayanaguda Telangana Hyderabad India Koneru Lakshmaiah Education Foundation Department of Electronics & Communication Engineering Telangana Hyderabad India St.Joseph College of Engineering Department of Computer Science and Engineering Kancheepuram India St. Joseph College of Engineering Department of Cse Chennai India Mangalam College of Engineering Kerala Kottayam India Department of Computer Science and Engineering Rathinam Technical Campus Coimbatore India

ISBN: (纸本)9798331542375

Internet of Things (IoT) functionality integrated into smart homes has transformed residents' ways of engaging with homes, from comfort, security, and energy saving aspects. This study aims at understanding the role played by IoT based smart automation and control in enhancing people's living standards within homes. Smart homes are designed utilizing applications that centralize the control of other smart devices like smart manage thermostat, smart lighting, home security cameras and smart voice assistant. These systems allow people to automate jobs, conserve and manage energy, and design environments to people's specific needs. Moreover, the study investigates threat mechanisms of IoT in smart home with respect to data privacy issues as well as the weaknesses of devices and the possibility of cyber threats. One of the major considerations of this work is focused on ways through which IoT systems can be designed to learn about users and their requirements as well as make decisions on their own using machine learning techniques. Thus, the study shows that through IoT technology not only by providing convenience and energy-saving opportunities, but also giving homeowners control to create and establish safer and more comfortable home environment. In this research, recommendations are made for the need to bring improvement on the reliability, security, and accessibility of IoT in home automation market it has made. © 2025 ieee.

关键词： Energy efficiency

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BEVUDA++: Geometric-Aware Unsupervised Domain Adaptation for Multi-View 3D Object Detection

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ieee Transactions on Circuits and Systems for Video Technology 2025年第5期35卷 5109-5122页

作者： Zhang, Rongyu Liu, Jiaming Li, Xiaoqi Chi, Xiaowei Wang, Dan Du, Li Du, Yuan Zhang, Shanghang Nanjing University School of Electronic Science and Engineering Nanjing210093 China The Hong Kong Polytechnic University Department of Computing Hung Hom Hong Kong Peking University National Key Laboratory for Multimedia Information Processing School of Computer Science Beijing100871 China The Hong Kong University of Science and Technology Academy of Interdisciplinary Studies Hung Hom Hong Kong

Vision-centric Bird’s Eye View (BEV) perception holds considerable promise for autonomous driving. Recent studies have prioritized efficiency or accuracy enhancements, yet the issue of domain shift has been overlooked, leading to substantial performance degradation upon transfer. We identify major domain gaps in real-world cross-domain scenarios and initiate the first effort to address the Domain Adaptation (DA) challenge in multi-view 3D object detection for BEV perception. Given the complexity of BEV perception approaches with their multiple components, domain shift accumulation across multi-geometric spaces (e.g., 2D, 3D Voxel, BEV) poses a significant challenge for BEV domain adaptation. In this paper, we introduce an innovative geometric-aware teacher-student framework, BEVUDA++, to diminish this issue, comprising a Reliable Depth Teacher (RDT) and a Geometric Consistent Student (GCS) model. Specifically, RDT effectively blends target LiDAR with dependable depth predictions to generate depth-aware information based on uncertainty estimation, enhancing the extraction of Voxel and BEV features that are essential for understanding the target domain. To collaboratively reduce the domain shift, GCS maps features from multiple spaces into a unified geometric embedding space, thereby narrowing the gap in data distribution between the two domains. Additionally, we introduce a novel Uncertainty-guided Exponential Moving Average (UEMA) to further reduce error accumulation due to domain shifts informed by previously obtained uncertainty guidance. To demonstrate the superiority of our proposed method, we execute comprehensive experiments in four cross-domain scenarios, securing state-of-the-art performance in BEV 3D object detection tasks, e.g., 12.9% NDS and 9.5% mAP enhancement on Day-Night adaptation. © 1991-2012 ieee.

关键词： Teaching

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K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Against Oracle-Guided Attacks 25

K-Gate Lock: Multi-Key Logic Locking Using Input Encoding Ag...

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30th Asia and South Pacific Design automation conference, ASP-DAC 2025

作者： Lopez, Kevin Rezaei, Amin Computer Engineering and Computer Science Department California State University Long Beach United States

ISBN: (纸本)9798400706356

Logic locking has emerged to prevent piracy and overproduction of integrated circuits ever since the split of the design house and manufacturing foundry was established. While there has been a lot of research using a single global key to lock the circuit, even the most sophisticated single-key locking methods have been shown to be vulnerable to powerful SAT-based oracle-guided attacks that can extract the correct key with the help of an activated chip bought off the market and the locked netlist leaked from the untrusted foundry. To address this challenge, we propose, implement, and evaluate a novel logic locking method called K-Gate Lock that encodes input patterns using multiple keys that are applied to one set of key inputs at different operational times. Our comprehensive experimental results confirm that using multiple keys will make the circuit secure against oracle-guided attacks and increase attacker efforts to an exponentially time-consuming brute force search. K-Gate Lock has reasonable power and performance overheads, making it a practical solution for real-world hardware intellectual property protection. © 2025 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Locks (fasteners)

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Energy Harvesting and Smart Wireless Home automation System using Internet of Things based Applications 3

Energy Harvesting and Smart Wireless Home Automation System ...

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

作者： Veeramuthu, A. Dinesh, M. Jayamani, K. Saravanan, L. Giri, Jayant Al Sherideh, Ala'a Sathyabama Institute of Science and Technology Department of Information Technology Chennai India Saveetha School of Engineering Department of Vlsi Microelectronics Chennai India Rajalakshmi Institute of Technology Chennai India Peri Institute of Technology Department of Ece Mannivakkam Chennai India Yeshwantrao Chavan College of Engineering Department of Mechanical Engineering Nagpur India Division of Research and Development Lovely Professional University Phagwara India Zarqa University College of Information Technology Department of Cyber Security Zarqa Jordan University of Business and Technology Jeddah21448 Saudi Arabia

ISBN: (纸本)9798331509675

A comprehensive approach to energy-efficient smart home automation leveraging IoT technologies. The Altair Smart Core IoT platform integrates with Arduino, enabling remote control and management of household devices. The developed EHSWH model introduces a five-layered system architecture, facilitating automation features such as main door control, temperature and humidity monitoring, smart bin management, smart water pump operation, and automatic light and door control. Users can interact with the system effortlessly through RESTful web services and dedicated Android/web applications, ensuring convenience and accessibility. Extensive experimentation using the ns3 software in Ubuntu OS demonstrates the superior performance of the proposed EHSWHs protocol across key metrics, including packet delivery ratio, network throughput, energy efficiency, average delay, and routing overhead, underscoring its effectiveness in optimizing IoT network performance and efficiency. © 2025 ieee.

关键词： Web services

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Eco-Bot: Autonomous Solar Panel Cleaner

Eco-Bot: Autonomous Solar Panel Cleaner

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2025 International conference on Control, automation, and Instrumentation, IC2AI 2025

作者： Hamza, Mohamad Jawad, Ali Chahine, Hiam Ghadara, Mohamed Abou Haidar, Gaby Abou Saide, Chafic American University of Science and Technology Faculty of Engineering Beirut Lebanon

ISBN: (纸本)9798331529604

Eco-Bot (Ecological Robot) is an innovative autonomous solar panel cleaning system aiming to enhance the solar panel efficiency and reduce the environmental impact that conventional methods may cause. Designed for sustainability, Eco-Bot replaces the manual cleaning methods, which need chemical agents, and minimizes the electrical hazards that may occur by navigating autonomously, through solar panel arrays, detecting dirt, and performing effective cleaning. It adapts to various climatic conditions and panel configurations, ensuring thorough and efficient maintenance across diverse solar systems. Enhancing solar panel performance and longevity contributes significantly to the sustainability of renewable energy systems. Eco-Bot utilizes advanced robotics and AI (Artificial Intelligence) to address the persistent issue of dust and debris accumulation. This paper explores the design and operation of the proposed system. © 2025 ieee.

关键词： Chemical hazards

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Motion-Force Control for Redundant Robots With Orientation Maintenance 13

Motion-Force Control for Redundant Robots With Orientation M...

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13th International conference on Intelligent Control and Information Processing, ICICIP 2025

作者： Yang, Qinru Gu, Xuan He, Rongshen School of Information Science and Engineering Lanzhou University Lanzhou China

ISBN: (纸本)9798331516147

In the realm of industrial automation, the control of redundant robots is essential, particularly in precision manufacturing. Traditional dynamics-based methods often face challenges in handling the complexity of redundant degrees of freedom in robots. This paper introduces an innovative approach to motion-force control utilizing joint velocity commands based on kinematic analysis, representing a shift from traditional dynamics-based methods. The problem of motion and force control is organized into a constrained quadratic programming(QP) scheme by integrating desired forces, predefined trajectories, and orientation maintenance. A recurrent neural network (RNN) is presented to achieve redundant robot kinematic control. The proposed scheme achieves accurate hybrid control of force and position, which is confirmed by simulation results. This approach has the potential to enhance the efficiency and precision of industrial automation systems. © 2025 ieee.

关键词： Quadratic programming

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