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11th international conference on electrical, Electronic and computing engineering, IcETRAN 2024

作者： Bozinovski, Stevo Sestakov, Mihail Bozinovska, Liljana South Carolina State University Computer Science and Mathematics Department OrangeburgSC United States Enterprise Transformation Coach Pelsi Group Pty. Ltd Sydney Australia South Carolina State University Biological and Physical Sciences Department OrangeburgSC United States

ISBN: (纸本)9798350386998

This keynote paper is in relation to the IEEE Milestone achievement recognition, made by IEEE (Institute of electrical and Electronic Engineers) for the worldwide first control of movement of a robot directly through the signals emanating from a human brain. As part of the recognition procedure, IEEE placed a monument, a bronze plaque on a wall, in the building where the achievement took place in 1988 in Skopje, Macedonia. The paper describes some pioneering scientific results of the authors, the results of which preceded the 1988 Milestone event, along with the event itself. © 2024 IEEE.

关键词： Reinforcement learning

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Generalized Interconnected Descriptor Systems: A Synthesis of Decentralized Output control 11

Generalized Interconnected Descriptor Systems: A Synthesis o...

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11th international conference on electrical, Electronic and computing engineering, IcETRAN 2024

作者： Stankovski, Mile Temelkovski, Boban Jing, Yuanwei Hristov, Blagoj Nadzinski, Gorjan School FEEIT Ss. Cyril & Methodius University in Skopje 18 Rugjer Boskovic Karpos 2 Skopje1000 Macedonia Military Academy 'General Mihailo Apostolski' Skopje Macedonia College of Information Science Northeastern University Liaoning Shenyang110004 China

ISBN: (纸本)9798350386998

Decentralized composite control feedback for a class of interconnected generalized descriptor systems has been investigated and solved by exploiting similarity, symmetry and uncertainty of plant system model. Each sub-system is assumed to have certain structural uncertainty and so do the nonlinear interconnections. The synthesized decentralized control strategy employs a set of three controllers, coupled in parallel: a linear state feedback and two nonlinear ones involving state-dependent switching. This decentralized strategy enforces asymptotic tracking a reference signal while causing no impulse effect. An illustrative example and simulations demonstrate the feasibility and performance effectiveness in stable operating equilibrium. © 2024 IEEE.

关键词： Decentralized control

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automatic Emotion Detection from Facial Features Extraction and Machine Learning Models

Automatic Emotion Detection from Facial Features Extraction ...

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2025 IEEE international Students' conference on electrical, Electronics and Computer science, SCEECS 2025

作者： Shankar, Raghav Singh Kirar, Bhupendra Upadhyay, Pratham Jee Mishra, Shree Govind Indian Institute of Information Technology Computer Science and Engineering Bhopal India Indian Institute of Information Technology Electronics and Communications Engineering Bhopal India Information Technology Indian Institute of Information Technology Bhopal India

ISBN: (纸本)9798331529833

In the domain of Interactive Systems (IS), machine learning (ML) emerges as a profound, user-friendly, and accurate approach to enhancing emotional intelligence in digital systems. This research work focuses on facial emotion detection, an important but often-neglected aspect of affective computing. Models used for the assessment include Multinomial Naïve Bayes (MNB), Decision Trees (DT), K-Nearest Neighbours (KNN), Random Forest (RF), Support Vector Machines (SVMs), XG Boost (XGB), and Logistic Regression (LR). By employing the FER2013 dataset and MediaPipe's (MP's) facial recognition technology, this research extracts 478 3D facial landmarks to test. The best Acc in emotion detection is found using LR with an accuracy of 65.57% followed by XGB with an accuracy of 61.24%. This study thus will help as a practical application toward making improvements in IS in matters regarding health, marketing, or even security. © 2025 IEEE.

关键词： Adversarial machine learning

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Design & Development of an automatic Defense System for Warfare Applications 15

Design & Development of an Automatic Defense System for Warf...

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15th international conference on Advances in computing, control, and Telecommunication Technologies, ACT 2024

作者： Tejas, R. Venkatesh, L. Shivamadu, D.N. Ravishankar, K. Ninawe, Swapnil S. Gunjal, Samyama G.H. Pavithra, G. Manjunath, T.C. Department of Electronics & Communication Engineering Dayananda Sagar College of Engineering Bangalore India Department of Computer Science & Engineering University Visvesvaraya College of Engineering Bangalore University Karnataka Bengaluru India

ISBN: (纸本)9798331300579

This paper presents the design and implementation of an automated defence system interface leveraging Arduino *** an era of evolving security threats, the development of automatic defense systems has become increasingly *** abstract provides a concise overview of automatic defense systems, focusing on their technologies and *** defense systems encompass a wide range of technologies, including sensors, artificial intelligence, robotics, and communication *** systems are designed to detect, analyze, and respond to potential threats in real-time, minimizing human intervention and response *** components of automatic defense systems include sensor arrays for threat detection, data processing algorithms for threat analysis, and autonomous or semi-autonomous response *** core typically involves sensors (radar, lidar), a command-and-control system for threat evaluation, and countermeasures (missiles, lasers, guns).Applications of automatic defense systems span various domains, including military, homeland security, critical infrastructure protection, and public *** systems offer enhanced situational awareness, rapid threat response, and scalability to adapt to evolving security *** technology continues to advance, the integration of emerging technologies such as machine learning, drones, and IoT further enhances the capabilities of automatic defense *** project "Design & Development of an automatic Defense System for Warfare Applications" focuses on creating a sophisticated, autonomous defense mechanism aimed at enhancing security and operational efficiency in military *** system integrates advanced sensor technologies, real-time data processing, and artificial intelligence to detect, identify, and neutralize potential threats with minimal human *** features include robust target recognition algorithms, adaptive threat response capabilities, and seamless in

关键词： Optical radar

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Development of an Improved System for controlling electrical Modes of Ladle-Furnace by using a Digital Twin

Development of an Improved System for Controlling Electrical...

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2024 international conference on Industrial engineering, Applications and Manufacturing, ICIEAM 2024

作者： Nikolaev, A.A. Tulupov, P.G. Ryzhevol, S.S. Ivekeev, V.S. Nosov Magnitogorsk State Technical University Automated Electric Drive And Mechatronics Dept. Magnitogorsk Russia

ISBN: (纸本)9798350395013

The article reviews the existing automatic control system for electrical modes of ladle furnaces (LF). The control algorithm for the electrical mode of LF with adaptation to the mode of argon purging and slag mode using the slag coefficient is considered. It is noted that for the algorithm operation it is necessary to form a set of operating curves, providing the possibility of timely shortening of electric arc lengths depending on the influence degree of the liquid metal mirror on specific phases for different configurations of LF and different purging modes. The main disadvantages of this algorithm are formulated. As an elimination of the main disadvantage of the adaptation algorithm for the electric mode to the conditions of argon purging the application of a digital double is proposed. The improved control system of the ladle-furnace unit with application of the digital twin is developed. It is noted that the systems for setting the asymmetrical mode of arc burning and automatic switching of operating curves and tap changers of the furnace transformer are separated in this system and function in parallel with each other, which provides the flexibility of setting the electrical mode of the LF. © 2024 IEEE.

关键词： control systems

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Optimal Load Frequency control Using Particle Swarm Optimization for Power System Stability

Optimal Load Frequency Control Using Particle Swarm Optimiza...

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2024 international conference on engineering and computing, ICECT 2024

作者： Ayaz, Muhammad Dur-E-Zehra Hur Rizvi, Syed Muhammad Akbar, Muhammad Ghulam Ishaq Khan Institute of Engineering Faculty of Electrical Engineering Swabi Topi Pakistan Dhanani School of Science and Engineering Habib University Karachi Pakistan GIKI Faculty of Electrical Engineering Swabi Topi Pakistan

ISBN: (纸本)9798350349719

This study explores Load Frequency control (LFC) through three distinct strategies, emphasizing the critical role of stable and optimal power system performance in ensuring reliable energy grid operation. In Case 1, without a PID controller, the system experiences characteristics such as a Rise Time of 0.4143 seconds, Settling Time of 6.9202 seconds, a notable Overshoot of 0.9709%, and a Peak Value of 60. Transitioning to Case 2 with Conventional PID control, improvements are evident in parameters like reduced Rise Time (2.3980 × 10-6), shorter Settling Time (4.6951 seconds), negligible Overshoot (0.0016%), and a Peak Value of 60.0001. In Case 3, employing Particle Swarm Optimization (PSO)-optimized PID control showcases exceptional performance with a remarkable Rise Time (3.0765 ×10-10), swift Settling Time (1.5093 seconds), minimal Overshoot (9.8068 ×10-5%), and a Peak Value of 60.0001 at 2.9381 seconds. These outcomes highlight the efficacy of PSO-optimized PID control in achieving rapid response, minimal overshoot, and heightened stability, providing valuable insights for optimizing power system stability in interconnected grids. © 2024 IEEE.

关键词： Electric power system interconnection

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Phymastichus-Hypothenemus-based Algorithm for Optimal Node Selection on Pinning control of Complex Networks 19

Phymastichus-Hypothenemus-based Algorithm for Optimal Node S...

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19th international conference on electrical engineering, computing science and automatic control, CCE 2022

作者： Lizarraga, Jorge A. Ruiz-Leon, J. Sanchez, Edgar N. CINVESTAV-IPN Electrical Engineering Department Guadalajara Mexico

ISBN: (数字)9781665455084

ISBN: (纸本)9781665455084

In this article, a new optimized node selection algorithm is proposed for implementation of pinning control for complex networks. This algorithm is inspired on the biological control of berry borers by means of parasitoid agents. The algorithm optimizes node selection using a criterion to ensure searching asymptotic stability of the complex network. The objective is to determine the optimal selection of nodes for pinning control applications. © 2022 IEEE.

关键词： Complex networks

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Analysis of LiDAR-Camera Fusion for Marine Situational Awareness with Emphasis on Cluster Selection in Camera Frustum 15

Analysis of LiDAR-Camera Fusion for Marine Situational Aware...

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15th IFAC conference on control Applications in Marine Systems, Robotics and Vehicles, CAMS 2024

作者： Obradović, Juraj Fabijanić, Matej Batoš, Matko Mišković, Nikola Faculty of Electrical Engineering and Computing University of Zagreb Department LABUST Laboratory for Underwater Systems and Technologies Unska 3 Zagreb Croatia

Providing accurate information about all objects in the environment surrounding an autonomous vehicle is essential for the development of a maritime navigation system used on board autonomous and unmanned vessels. In this paper, we introduce a method that integrates LiDAR and camera data for precise 3D object detection and tracking. The approach utilizes LiDAR for acquiring object position information and ensures accurate object classification through data from the camera. The proposed architecture is presented with a detailed explanation of all algorithms used. Several scenarios have been created in a simulated environment to compare three approaches for the selection of target object in the camera frustum (the Nearest Center, Gaussian Likelihood, and Intersection-Over-Union). Finally, the full algorithm setup is tested in a simulator environment with multiple vessels and a background coast. © 2024 Elsevier B.V.. All rights reserved.

关键词： Marine navigation

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An IoT-enabled monitoring and control system for electrochromic smart windows

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Discover Internet of Things 2024年第1期4卷 30页

作者： Koay, Hsien-Hern Thien, Gregory Soon How Au, Benedict Wen-Cheun Abdelhamed, Abdelrahman Hamed Ebrahem Balachandran, Ruthramurthy Ng, Zi-Neng Chan, Kah-Yoong Centre for Advanced Devices and Systems Faculty of Engineering Multimedia University Selangor Cyberjaya63100 Malaysia Micron Semiconductor Asia Operations Pte Ltd. 1 North Coast Drive Singapore757432 Singapore Sri Desa International Secondary School Taman Desa Kuala Lumpur58100 Malaysia Department of Electronics and Communication Engineering School of Electrical Engineering and Computing Adama Science and Technology University P O Box 1888 Adama Ethiopia School of Electrical Engineering and Artificial Intelligence Xiamen University Malaysia Jalan Sunsuria Bandar Sunsuria Selangor Sepang43900 Malaysia

Electrochromic (EC) smart windows are highly efficient in preventing solar irradiation. Nevertheless, an insufficient automated monitoring and control system for EC windows has been observed. This study outlined the framework for designing a control system that effectively regulated the voltage polarity of an EC smart window. Integrating Internet of Things (IoT) capabilities and environmental sensors enhanced the smart window control system. This integration allowed for automated monitoring and adjustment of light intensity (below and above 30,000 lx), temperature (below and above 32 °C), and UV index (below 3 and above 7) for the smart window. The magnitude of the current supplied from the output load of the operational circuit module was directly correlated with the switching time of the electrochromic window. Moreover, voltage fluctuation was observed during the evaluation testing of the control system, which was ascribed to the reliability of the breadboard platform. This study also provided a functional design analysis for a Wi-Fi-enabled control system, presented insights into manual and automatic control modes under diverse environmental conditions, and improved user interaction through real-time data visualization using the IoT Blynk platform. Overall, this study presented a range of cost-effective approaches for managing the dynamic EC window using Wi-Fi and sensor-enabled technology. © The Author(s) 2024.

关键词： Wi-Fi

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Efficient Real-Time Face Recognition-Based Attendance System with Deep Learning Algorithms 2

Efficient Real-Time Face Recognition-Based Attendance System...

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2nd IEEE international conference on Intelligent and Innovative Technologies in computing, electrical and Electronics, ICIITCEE 2024

作者： Painuly, Kritagya Bisht, Yukti Vaidya, Himadri Kapruwan, Akanksha Gupta, Rupesh Computer Science and Engineering Graphic Era Hill University Uttarakhand Dehradun India Computer Science and Engineering Graphic Era Deemed to Be University Uttarakhand Dehradun India Computer Science and Engineering Chitkara University Punjab India

ISBN: (纸本)9798350306415

Efficient Real-Time Face recognition-based attendance systems with deep learning algorithms strive for precise and real-time performance in managing attendance across various institutions. This solution outlines key targets as well as robust face detection, model selection, real-time processing, information collection, and ensuring accuracy and reliability in face recognition by combining dlib, cvzone, and YOLO algorithms for face detection, and blur detection to improve the system's efficiency. In a nutshell, the suggested system offers a promising approach to attendance control in challenging situations by using advanced methods to signify high accuracy, real-time processing, and value. © 2024 IEEE.

关键词： CNNs Computer Vision Deep learning YOLO

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