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arXiv 2024年

作者： Gao, Yuan Lai, Yinyi Wang, Jun Fang, Yini Department of Electrical and Electronic Engineering Nanyang Technological University Singapore Department of Mechanical Engineering Hohai University China Department of Electronic & Computer Engineering Hong Kong University of Science and Technology Hong Kong

Unpredictable and complex aerodynamic effects pose significant challenges to achieving precise flight control, such as the downwash effect from upper vehicles to lower ones. Conventional methods often struggle to accurately model these interactions, leading to controllers that require large safety margins between vehicles. Moreover, the controller on real drones usually requires high-frequency and has limited on-chip computation, making the adaptive control design more difficult to implement. To address these challenges, we incorporate Gaussian process (GP) to model the adaptive external aerodynamics with linear model predictive control. The GP is linearized to enable real-time high-frequency solutions. Moreover, to handle the error caused by linearization, we integrate end-to-end Bayesian optimization during sample collection stages to improve the control performance. Experimental results on both simulations and real quadrotors show that we can achieve real-time solvable computation speed with acceptable tracking errors. Copyright © 2024, The Authors. All rights reserved.

关键词： Gaussian distribution

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Sliding Mode Control Based on Super Twisting Algorithm for Single-Stage On-Board Charger 17

Sliding Mode Control Based on Super Twisting Algorithm for S...

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17th IEEE International Conference on Compatibility, Power electronics and Power engineering, CPE-POWERENG 2023

作者： Guler, Naki Komurcugil, Hasan Bayhan, Sertac Vinnikov, Dmitri Blinov, Andrei Gazi University Technology Faculty Department of Electrical-Electronic Engineering Ankara Turkey Qatar Environment and Energy Research Institute Doha Qatar Eastern Mediterranean University Famagusta Department of Computer Engineering Via Mersin 10 Turkey Tallinn University of Technology Electrical Power Engineering and Mechatronics Department Tallinn Estonia

ISBN: (纸本)9798350300048

This paper presents a super-Twisting algorithm-based sliding mode control (STA-SMC) method for a single-stage on-board charger (OBC). Constant current (CC) and constant voltage (CV) charging modes are determined by a simple algorithm that works depending on the battery's state of charge (SOC) level. Based on the mode detection algorithm, a proportional-integral (PI) controller is used to generate the amplitude of the inductor current reference that is identical to the grid current's amplitude. The inductor current is controlled by the proposed STA-SMC method. Simulation studies are carried out through the MATLAB/Simulink environment. The results reveal that the proposed control method successfully regulates battery voltage or current and grid current under dynamic and steady-state conditions. Furthermore, the proposed method exhibits a smooth transition from CC to CV modes and vice versa. Also, the spectrums of grid current show that the total harmonic distortion in grid current is under the recognized limits by the standards. © 2023 IEEE.

关键词： Sliding mode control

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A Novel Design of FANET Routing Protocol Aided 5G Communication Using IoT

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Journal of Mobile Multimedia 2022年第5期18卷 1333-1354页

作者： Khan, Inam Ullah Abdollahi, Asrin Jamil, Abdul Baig, Bisma Aziz, Muhammad Adnan Subhan, Fazal Department of Electronic Engineering School of Engineering and Applied Sciences (SEAS) Isra University Islamabad campus Pakistan Department of Electrical Engineering University of Kurdistan Iran National University of Computer and Emerging Sciences Peshawar Campus Pakistan Department of Software Engineering COMSATS University Abbottabad Campus Pakistan

Flying-Thing is a new promising area, while in last few years Unmanned Aerial Vehicles are emerged. UAVs are very efficient in completing tasks also organizing ad hoc behaviour of networks, thus making flying ad hoc networks. The formation of aerial nodes is not feasible until we use Mobility models for communication between UAV's. Mobile ad hoc networks & wireless sensor networks are mostly static in behaviour but UAVs are dynamic and deployed in sky using mobility models. In flying ad hoc networks effective communication can be made possible using 5G networks while designing routing protocols. In this paper a comprehensive study is formally introduced covering routing protocols used in flying ad hoc networks, mobility models, heuristic computations, architecture and optimization techniques for improving parameters in flying ad hoc networks. This paper reflects and explains future challenges and help scientists, Researchers to discover more research gaps that have been discussed in the literature and need more investigation. Also, different applications of flying things can be used in IoT based forestry which includes forest mapping, management where optimal results can be obtained. The uniqueness of this research study is to provide heuristic computational algorithm called AntHocNet, Mobility models, drawbacks of traditional technologies, flying-things architecture will be the core interest of this research study. © 2022 River Publishers.

关键词： 5G FANETs IoT MANETs WSN

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SILIC: Intelligent On/Off Control for Networked Solar Insecticidal Lamps

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IEEE/CAA Journal of Automatica Sinica 2025年第6期12卷 1221-1235页

作者： Heyang Yao Lei Shu Yuli Yang Miguel Martínez-García Wei Lin Nanjing Agricultural University Nanjing China School of Engineering University of Lincoln Lincoln UK School of Computer Science and Electronic Engineering University of Essex Colchester UK School of Electronic and Information Engineering Soochow University Suzhou China Department of Aeronautical and Automotive Engineering Loughborough University Loughborough UK

The solar insecticidal lamp (SIL) is an innovative green control device. Nevertheless, a major challenge is often encountered when carrying out insecticidal work is low energy utilization efficiency. The substantial energy consumption required to turn on the SIL, coupled with the extension of insecticidal working time during the low pest activity periods, can result in low energy efficiency. Especially when the energy storage level is below 50%, the inefficient use of energy significantly reduces the effectiveness of pest control. Consequently, an ineffective on/off scheme for these lamps may lead to suboptimal energy utilization. In this paper, we present the solar insecticidal lamp intelligent energy management scheme (SIL-IEMS) to address the challenge of inefficient energy utilization in the solar insecticidal lamp internet of things (SIL-IoT). SIL-IEMS primarily utilizes genetic algorithm (GA) and greedy algorithms to optimize insecticidal working time by considering constraints such as residual energy and the number of trap pests. Comparing SIL-IEMS to the traditional remote switching method (TRSM) and the solar insecticidal lamp genetic algorithm (SILGA), our simulation results showcase its superior energy efficiency and pest control effectiveness. Particularly noteworthy is the SILIEMS's 17.6% increase in insecticidal efficiency compared to TRSM and 6% improvement over SILGA when the SIL begins with a remaining energy level of 15%.

关键词： Energy management internet of things on/off scheme solar insecticidal lamp (SIL) solar insecticidal lamp intelligent energy management scheme (SIL-IEMS)

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Designing a Prototype Smart Hotel with High Security, Solar Tracking, and IoT Lighting Control

Designing a Prototype Smart Hotel with High Security, Solar ...

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2023 International Conference on engineering, Applied and Nano Sciences, ICEANS 2023

作者： Hassan, Mustafa Yahya Mahdi, Ali Jafer Al-Sharhanee, Kareem Ali Malalah Ayad, Mohammed Shutnan, Worod Adris Najim, Ali Hamzah University of Al-Qadisiyah Department of Computer Science and Information Technology Al-Diwaniyah Iraq Al-Zahraa University for Women Department of Scientific Affairs Karbala Iraq Al-Farahidi University Department of Communication Technical Engineering Baghdad Iraq Alkhafaji College of Engineering National University of Science and Technology Dhi-Qar Iraq Engineering College University of Al-Qadisiyah Electronic &communication Department Al-Diwaniyah Iraq Department of Computer Technical Engineering Al-Diwaniyah Iraq

ISBN: (纸本)9798350341973

Traditional hotels provide housing, food, and hospitality, vital to tourism. However, these technologies have drawbacks. Standardized service models may offer a different personalization than modern visitors want, and increased operating costs often mean higher prices. They are limited to eco-friendliness, flexibility, power-saving, and security. The primary objective of this study is to develop and execute a sophisticated hotel system that incorporates a wide range of advanced functionalities, aiming to improve overall visitor satisfaction and maximize energy efficiency. Nevertheless, there remains a need for more investigation into developing a prototype smart hotel that effectively incorporates advanced security measures, solar tracking systems, and IoT control. This is achieved by offering a comprehensive approach incorporating an RFID sensor-based door access system, which enhances the overall security measures in place. The intelligent lighting system possesses the capability to modify electricity consumption dynamically. The system integrates emergency power capabilities by utilizing a solar tracking system, an LCD screen for optimal display efficiency, and an Internet of Things (IoT)-driven lighting management system. The prototype design that has been proposed has undergone development and testing to assess its effectiveness in optimizing energy usage and improving the overall experience for guests. The findings of this assessment offer significant insights and recommendations for the future implementation of comparable bright hotel designs. © 2023 IEEE.

关键词： Operating costs

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Data-Aided Channel Estimation for Time Diversity in Helicopter Satellite Communications 15

Data-Aided Channel Estimation for Time Diversity in Helicopt...

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15th International Conference on Advanced Technologies for Communications, ATC 2022

作者： Kojima, Toshiharu Azuma, Riki Graduate School of Informatics and Engineering The University of Electro-Communications Department of Computer and Network Engineering 1-5-1 Chofugaoka Chofu Tokyo182-8585 Japan

ISBN: (数字)9781665451888

ISBN: (纸本)9781665451888

The periodic blockage of the transmission channel is the most important issue in helicopter satellite communications. Time diversity is a practical solution to overcome it, requiring channel estimation to implement maximal ratio combining (MRC). This paper proposes a channel estimation method for helicopter satellite communications employing time diversity. The proposed method estimates the channel gain by removing modulation from the received signal using the provisional demodulated data. The estimation is rapid and accurate. In addition, signal processing is simple. computer simulation shows that the degradation of bit error rate performance of MRC due to channel estimation error is under 0.1 dB. © 2022 IEEE.

关键词： Channel estimation

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Design and Analysis of a 4-element Wideband MIMO Antenna for THz Applications

Design and Analysis of a 4-element Wideband MIMO Antenna for...

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Power, Electrical, and electronics and Industrial Applications (PEEIACON), IEEE International Conference on

作者： Md. Shakiul Jafor Liton Chandra Paul Afsana Mimi Md. Sadik Hossain Md. Shajol Al Mamun Md. Hasibur Rahman Department of Electrical and Electronic Engineering Department of Electrical Electronic and Communication Engineering Pabna University of Science & Technology Pabna Bangladesh Department of Computer Science & Engineering Pundra University of Science & Technology Bogura Bangladesh

ISBN: (数字)9798331517984

ISBN: (纸本)9798331517991

In this work, initially a rectangular microstrip patch antenna measuring (94.8 × 110 × 10) µm3 with a polyamide substrate has been analyzed and developed. The antenna has a bandwidth of 170 GHz (1.98 - 2.15 THz) and is tuned to resonate at a frequency of 2.08 THz. Its return loss is -26.733 dB, radiation efficiency is 92 % , and maximum gain is 6.35 dB. In addition, the MIMO technology has been implemented to improve performance. Its bandwidth is 210 GHz (1.98-2.19 THz), and it offers a reflection coefficient of -37.75 dB, a radiation efficiency of 95%, and a peak gain of 6.01 dB. The substrate of the four-element MIMO antenna measures (154.8 x 170 x 10) µm3. The HFSS platform has been used to perform the modelling and simulation.

关键词： Antenna measurements Patch antennas Resonant frequency Terahertz radiation Microstrip antennas Reflection coefficient Broadband antennas Gain Substrates Wideband

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Self-Supervised Hyperbolic Spectro-Temporal Graph Convolution Network for Early 3D Behavior Prediction

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IEEE Transactions on Cognitive and Developmental Systems 2025年

作者： Liu, Peng Lai, Qin Li, Haibo Zhao, Chong Wang, Qicong Meng, Hongying Xiamen University Department of Computer Science and Technology School of Informatics Xiamen361102 China Brunel University London Department of Electronic and Electrical Engineering UxbridgeUB8 3PH United Kingdom

3D human behavior is a highly nonlinear spatiotemporal interaction process. Therefore, early behavior prediction is a challenging task, especially prediction with low observation rates in unsupervised mode. To this end, we propose a novel self-supervised early 3D behavior prediction frame-work that learns graph structures on hyperbolic manifold. Firstly, we employ the sequence construction of multi-dynamic key information to enlarge the key details of spatio-temporal behavior sequences, addressing the high redundancy between frames of spatio-temporal interaction. Secondly, for capturing dependencies among long-distance joints, we explore a unique graph Laplacian on hyperbolic manifold to perceive the subtle local difference within frames. Finally, we leverage the learned spatio-temporal features under different observation rates for progressive contrast, forming self-supervised signals. This facilitates the extraction of more discriminative global and local spatio-temporal information from early behavior sequences in unsupervised mode. Extensive experiments on three behavior datasets have demonstrated the superiority of our approach at low to medium observation rates. © 2016 IEEE.

关键词： Self-supervised learning

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An Intelligent SCADA System for Power Distribution Network Cable Fault Detection with Real-Time Monitoring and Autonomous Maintenance

An Intelligent SCADA System for Power Distribution Network C...

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International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)

作者： S M Nahidul Islam Shameem Ahmad Md. Mahbub-E-Elahi Prodhan Md. Shoaib Khan Chowdhury Sakib Bin Mizan Abir Ahmed Effat Jahan Md. Rifat Hazari Chowdhury Akram Hossain Department of Electrical and Electronic Engineering Faculty of Engineering American International University-Bangladesh Dhaka Bangladesh Department of Computer Engineering Faculty of Engineering American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331530952

ISBN: (纸本)9798331530969

Supervisory Control and Data Acquisition (SCADA) systems are significant for boosting industrial operations, but established systems often struggle with fault management and real-time monitoring. To address these issues, this paper proposes an advanced SCADA system that integrates IoT technologies, multi-agent systems, and predictive maintenance for seamless data collection, analysis, and decision-making. Machine learning enhances fault detection and cybersecurity, while a modular hardware design allows scalability and flexibility to various industrial environments. The system is highly sensitive to detecting faults, including open circuit faults, line-to-ground faults, line-to-line faults, double line to ground faults and three-phase faults. It improves operational safety and efficiency by accurately locating faults and notifying professionals in real time. Extensive simulations and hardware tests were conducted to validate its performance in different fault scenarios. The results show that the proposed SCADA system has successfully detected different types of faults, offering a unified approach for fault management, maintenance, and real-time monitoring.

关键词： Power cables Fault detection Scalability SCADA systems Electrical fault detection Real-time systems Hardware Maintenance Circuit faults Predictive maintenance

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Design and Development of Smart Monitoring System for Reducing Early Chicken Mortality

Design and Development of Smart Monitoring System for Reduci...

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International Symposium on Advanced Computing and Communication (ISACC)

作者： Moslema Hoque Oeishee Munyem Ahammad Muyeed Md. Rejoan Mehedi Md Nayan Molla Mishkat Alvi Electrical and Electronic Engineering Department Brac University Dhaka Bangladesh Computer Science and Engineering Department United International University Dhaka Bangladesh

ISBN: (数字)9798331523893

ISBN: (纸本)9798331523909

This paper presents an IoT-based autonomous farming method for lowering the mortality rate of 7-10-day-old chickens by preventing the flow of infection and continuously monitoring and controlling some very pivotal environmental parameters. In this system, an ESP32 microcontroller is used as the central unit which manages and controls all the sensors, ensuring healthier environmental conditions within the farm. The system uses several sensors like the temperature and humidity sensor DHT11. To create a user-friendly interface, real-time data is displayed via a 16x2 LCD monitor presenting the consumers with instant status of the crucial parameters. Moreover, this system will integrate two specialized robotic arms, identifying inactive or dead chickens and separating them to a designated place from the hatching area. This is proven to be significantly efficient in minimizing infection rates and ensuring a healthier surrounding for the remaining chickens. The incorporation of a buck converter allows high-power sources to step down so that low-power devices can run smoothly. In the implementation phase, we bought 250 chickens which from 222 chickens survived yielding a favorable cost benefit ratio of 0.48 indicating the economic validity of the system. The results of this study show that advanced sensor systems and robotic technology can be used in poultry farming to improve farm productivity reducing mortality rates.

关键词： Temperature sensors Productivity Microcontrollers Mortality Robot sensing systems Manipulators Sensor systems Sensors Monitoring Farming

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