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1st IEEE Conference on AgriFood Electronics, CAFE 2023

作者： Rusci, Manuele Bompani, Luca Baldoni, Olmo Montanari, Carlo Brunelli, Davide Benini, Luca Ku Leuven Department of Electrical Engineering Belgium University of Trento Department of Industrial Engineering Italy University of Bologna Department of Electrical Electronic and Information Engineering Italy Eth Zürich Integrated Systems Laboratory Switzerland

ISBN: (纸本)9798350327113

This paper presents an energy-optimized solution for on-device pest detection, preventing image streaming from the traps installed in the monitored orchard surface. We optimize the Viola-Jones object detector to run on a low-cost 8-core MicroController (MCU), which is coupled to a low-power image sensor. Thanks to the adopted memory management scheme and the algorithm parallelization, our solution presents a processing latency of only 0.4 sec per image while scoring >80% detection accuracy on low-quality images. This design reduces the memory requirements and complexity of precedent processing pipelines based on Deep Neural Networks and presents a power envelope > 10x lower than more expensive existing solutions. © 2023 IEEE.

关键词： Microcontrollers

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Designed harmonic step filter automatic control system to improve power quality and electric efficiency

Designed harmonic step filter automatic control system to im...

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2024 International Conference on Power Electronics and Energy System, ICPEES 2024

作者： Pasaribu, Faisal Irsan Sara, Ira Devi Tarmizi, Tarmizi Nasaruddin, Nasaruddin Doctoral Program School of Engineering Universitas Syiah Kuala Aceh23111 Indonesia Department Electrical and Computer Engineering Universitas Syiah Kuala Aceh23111 Indonesia

Good power quality and high-power efficiency are important aspects of power system management. Harmonic, as an unwanted frequency component in electrical signals, can interfere with power quality and reduce electrical efficiency. A passive harmonic filter is a device used to reduce or filter harmonics in electrical power systems. This research proposes technology Internet of Things with an automatic control system that moves the step filter to solve the harmonic problem, with the aim of improving the quality of power and electrical efficiency. The step filter functions to identify and isolate the harmonic, thus enabling appropriate controls to suppress the impact of the harmonic. The proposed system uses sophisticated control algorithms using sensors that can read current, voltage, frequency, and power factor to adjust the step filter parameters dynamically, following changes in load conditions and harmonizing. Simulation of the control network using the proteus software is subsequently undertaken in further research to design the control device. Using an automatic control set in the control simulation results reduced the need for manual intervention and let the system adjust the step filter automatically in response to changing network conditions. This showed that this method worked to lower harmonic distortion, increases the power factor through the filter used, and make the system more energy efficient overall. The study emphasizes the importance of applying sophisticated control strategies to manage harmonics efficiently, which ultimately paves the way to a cleaner and more reliable power grid. © Published under licence by IOP Publishing Ltd.

关键词： Power quality

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Design and Performance Analysis of Utility Scale-Grid connected Hybrid Wind-Solar Plant in an Existing Operational Wind Farm in India 3

Design and Performance Analysis of Utility Scale-Grid connec...

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3rd IEEE International Conference on electrical Power and Energy systems, ICEPES 2024

作者： Kaliappan, P. Selvan, M.P. CPRI Metering and Utility Automation Division Bangalore India NIT Hybrid Electrical Systems Laboratory Department of Electrical & Electronics Engineering Tiruchirappalli India

ISBN: (数字)9798350390728

ISBN: (纸本)9798350390728

Renewable Energy (RE) is a clean and green energy available worldwide. India is harvesting green energy technologies in an exponential way with solar irradiation and wind resources available. In the existing wind farms, there is a scope for generation of solar energy using photovoltaic modules in the vacant lands which are available between the wind turbines. Considering techno-commercial, land acquisition issues and right of way, the establishment of solar plants in the existing wind farms would also be a better choice. Hence, it is proposed to establish a solar power plant of 25 MW capacity in an existing wind farm of 75 MW capacity located in Coimbatore district, Tamilnadu, India by considering the wind farm layout and i) utilizing the existing step-up distribution transformers ii) by adding separate step-up transformers and iii) as a dedicated co-located solar power plant. The existing wind farm is operational, and it is decided to integrate the proposed solar power plant. The wind farm and solar power plant will be interconnected with the power grid through point of common coupling to inject the power to the grid. The solar power generation simulation has been carried out using PVsyst software. The modeling, simulation and performance evaluation of a utility scale grid-connected hybrid wind-solar power was done using ETAP software. In this paper, various possibilities for integrating solar power plants in existing wind farms have been explored, and the design of appropriate power extraction and protection schemes for the hybrid wind-solar plant has been analyzed and recommended. © 2024 IEEE.

关键词： Windmill

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AI Security and Safety: The PRALab Research Experience

AI Security and Safety: The PRALab Research Experience

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2023 Italia Intelligenza Artificiale - Thematic Workshops, Ital-IA 2023

作者： Demontis, Ambra Pintor, Maura Demetrio, Luca Sotgiu, Angelo Angioni, Daniele Piras, Giorgio Gupta, Srishti Biggio, Battista Roli, Fabio Department of Electrical and Electronic Engineering University of Cagliari Italy Department of Informatics Bioengineering Robotics and Systems Engineering University of Genova Italy Italy

We present here the main research topics and activities on security, safety, and robustness of machine learning models developed at the Pattern Recognition and Applications (PRA) Laboratory of the University of Cagliari. We have provided pioneering contributions to this research area, being the first to demonstrate gradient-based attacks to craft adversarial examples and training data poisoning attacks. The findings of our research have significantly contributed not only to identifying and characterizing vulnerabilities of such models in the context of real-world applications but also to the development of more trustworthy artificial intelligence and machine learning models. We are part of the ELSA network of excellence for the development of safe and secure AI-based technologies, funded by the European Union. © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).

关键词： Machine learning

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Uncertainty-Aware Decision-Making and Planning for Autonomous Forced Merging 63

Uncertainty-Aware Decision-Making and Planning for Autonomou...

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63rd IEEE Conference on Decision and Control, CDC 2024

作者： Zhou, Jian Gao, Yulong Olofsson, Bjorn Frisk, Erik Imperial College London Department of Electrical and Electronic Engineering London United Kingdom Linköping University Division of Vehicular Systems Department of Electrical Engineering Linköping Sweden Lund University Department of Automatic Control Lund Sweden

ISBN: (纸本)9798350316339

In this paper, we develop an uncertainty-aware decision-making and motion-planning method for an autonomous ego vehicle in forced merging scenarios, considering the motion uncertainty of surrounding vehicles. The method dynamically captures the uncertainty of surrounding vehicles by online estimation of their acceleration bounds, enabling a reactive but rapid understanding of the uncertainty characteristics of the surrounding vehicles. By leveraging these estimated bounds, a non-conservative forward occupancy of surrounding vehicles is predicted over a horizon, which is incorporated in both the decision-making process and the motion-planning strategy, to enhance the resilience and safety of the planned reference trajectory. The method successfully fulfills the tasks in challenging forced merging scenarios, and the properties are illustrated by comparison with several alternative approaches. © 2024 IEEE.

关键词： Autonomous vehicles

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ADVANCING AUTONOMOUS ROBOTICS: INTEGRATING MECANUM WHEELS, LIDAR, AND SLAM FOR ENHANCED MOBILITY AND NAVIGATION THROUGH STUDENT INVOLVEMENT

ADVANCING AUTONOMOUS ROBOTICS: INTEGRATING MECANUM WHEELS, L...

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ASME 2024 International Mechanical engineering Congress and Exposition, IMECE 2024

作者： Chiou, Richard Y. Vasudevan, Nijanthan Kavitha, Arjuna Karthikeyan Senthilvel Tseng, Tzu-Liang Department of Engineering Leadership and Society Engineering Technology Program Drexel University PhiladelphiaPA United States Department of Industrial Manufacturing and Systems Engineering University of Texas at El Paso El PasoTX United States

ISBN: (纸本)9780791888650

This study unveils an advanced autonomous mobile robot (AMR) designed as a practical educational module for students, featuring Mecanum wheels, LiDAR, and integrated through a comprehensive SLAM algorithm, all within the framework of the Robot Operating System (ROS). The AMR's use of Mecanum wheels affords it unparalleled agility and the capability to maneuver omnidirectionally in intricate settings. LiDAR technology enhances the robot's ability to generate detailed spatial maps, crucial for real-time navigation and obstacle avoidance. Through experimental validation in a controlled laboratory environment, the AMR demonstrated superior navigational accuracy and adaptability to evolving conditions. This hands-on educational approach not only underlines the robot's effectiveness in navigating real-world challenges but also positions it as an adaptable solution for future automation tasks, emphasizing the potential for its application across a broad spectrum of industrial and commercial fields. Copyright © 2024 by ASME.

关键词： SLAM robotics

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Multi-Objective Optimization for Medical Supplies Storage and Distribution in Disaster Management 1

Multi-Objective Optimization for Medical Supplies Storage an...

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1st IEEE Colombian Caribbean Conference, C3 2023

作者： Granados, Bethsy Guerrero Quintero, Christian G.M. Viloria-Nunez, Cesar Paba, Miguel Angel Jimeno Universidad Del Norte Department of Electrical and Electronics Engineering Barranquilla Colombia Universidad Del Norte Department of Systems Engineering Barranquilla Colombia

ISBN: (纸本)9798350341799

This paper presents a comparative analysis of advanced methodologies designed to address the complex challenge of scheduling medical supplies in both the civilian and military sectors for epidemic prevention and control. This study introduces a multi-objective water wave (MOWWO) algorithm and enhances its performance through the integration of a dynamically adjusted component, referred to as DAMOWWO. The primary objective of this research is to evaluate the proposed approach in comparison with other established methods that share similar goals. The aim is to optimize multiple aspects simultaneously, including the overall satisfaction rates of medical supply delivery and the reduction of scheduling costs, while ensuring a minimum military supply reservation ratio. This study provides a comprehensive evaluation of the MOOW algorithm and highlights its potential applications in emergency response scenarios. © 2023 IEEE.

关键词： Multiobjective optimization

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Higher-order properties and extensions for indirect MRAC and APPC of linear systems

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Science China(Information Sciences) 2024年第4期67卷 218-238页

作者： Yanjun ZHANG Zhipeng ZHANG Jian SUN Lei WANG Kangkang ZHANG National Key Lab of Autonomous Intelligent Unmanned Systems Beijing Institute of Technology School of Automation Beijing Institute of Technology Beijing Institute of Technology Chongqing Innovation Center College of Control Science and Engineering Zhejiang University Department of Electrical and Electronic Engineering Imperial College London KIOS Research and Innovation Center of Excellence University of Cyprus

Recently, a reference derived some new higher-order output tracking properties for direct model reference adaptive control（MRAC） of linear time-invariant（LTI） systems: limt→∞ e（i）（t） = 0, i = 1,..., n*-1, where n*and e（i）（t） denote the relative degree of the system and the i-th derivative of the output tracking error, respectively. However, a naturally arising question involves whether indirect adaptive control（including indirect MRAC and indirect adaptive pole placement control） of LTI systems still has higher-order tracking properties. Such properties have not been reported in the literature. Therefore, this paper provides an affirmative answer to this question. Such higher-order tracking properties are new discoveries since they hold without any additional design conditions and, in particular, without the persistent excitation condition. Given the higher-order properties, a new adaptive control system is developed with stronger tracking features.（1） It can track a reference signal with any order derivatives being unknown.（2） It has higher-order exponential or practical output tracking properties.（3） Finally, it is different from the usual MRAC system, whose reference signal's derivatives up to the n*order are assumed to be known. Finally, two simulation examples are provided to verify the theoretical results obtained in this paper.

关键词： higher-order tracking indirect adaptive control model reference adaptive control adaptive pole placement control

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Evaluation of Improved MobileNetV3-YOLO Models for IoT Devices by Fuzzy Multi-Criteria Decision-Making 9

Evaluation of Improved MobileNetV3-YOLO Models for IoT Devic...

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9th IEEE International Conference on Computational Intelligence and Applications, ICCIA 2024

作者： Du, Shiyan Li, Jiacheng Noto, Masato Graduate School of Engineering Kanagawa University Field of Electrical Electronics and Information Engineering Yokohama Japan Kanagawa University Department of Applied Systems and Mathematics Yokohama Japan

ISBN: (纸本)9798350352214

Fire detection is crucial in natural disaster prevention, but the limited computational resources of Internet of Things (IoT) devices impose strict requirements for lightweight and efficient models. This study aims to evaluate and compare the performance of various object detection models for fire detection to optimize model selection in resource-constrained environments. We selected the YOLOv8 series, YOLOv10 series, and our improved MobileNetV3-YOLOv8n and MobileNetV3-YOLOv10n models for evaluation. The results demonstrate that the MobileNetV3-YOLOv8n model achieves the best overall performance, followed by the YOLOv8n and MobileNetV3-YOLOv10n models. Sensitivity analysis confirms the stability of these results under minor variations in metric weights, particularly within the top three rankings. On the basis of these findings, we provide specific model selection recommendations for IoT devices with varying computational capabilities. © 2024 IEEE.

关键词： Sensitivity analysis

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Timely and Massive Communication in 6G: Pragmatics, Learning, and Inference

IEEE BITS the Information Theory Magazine

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IEEE BITS the Information Theory Magazine 2023年第1期3卷 27-40页

作者： Gunduz, Deniz Chiariotti, Federico Huang, Kaibin Kalor, Anders E. Kobus, Szymon Popovski, Petar Imperial College London Department of Electrical and Electronic Engineering LondonSW7 2BX United Kingdom University of Padova Department of Information Engineering Padova35122 Italy The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong Aalborg University Department of Electronic Systems Aalborg9220 Denmark

5G has expanded the traditional focus of wireless systems to embrace two new connectivity types: ultra-reliable low latency and massive communication. The technology context at the dawn of 6G is different from the past one for 5G, primarily due to the growing intelligence at the communicating nodes. This has driven the set of relevant communication problems beyond reliable transmission toward semantic and pragmatic communication. This article puts the evolution of low latency and massive communication toward 6G in the perspective of these new developments. At first, semantic/pragmatic communication problems are presented by drawing parallels to linguistics. We elaborate upon the relation of semantic communication to the information-theoretic problems of source/channel coding, while generalized real-time communication is put in the context of cyber-physical systems and real-time inference. The evolution of massive access toward massive closed-loop communication is elaborated upon, enabling interactive communication, learning, and cooperation among wireless sensors and actuators. © 2021 IEEE.

关键词： Semantics

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