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20th International Learning and technology Conference, L and T 2023

作者： Hussein, Aziza I. Salah, Ibrahim Rahouma, Kamel H. Mourad Mabrook, M. Effat University Electrical & Computer Eng. Dept. Jeddah Saudi Arabia Nahda University Faculty of Engineering Cce Department Beni-Suef Egypt Minia University Faculty of Engineering Department of Electrical Engineering Minia Egypt Beni-Suef University Faculty of Navigation Science & Space Technology Spacee Comm. Dept. Beni-Suef Egypt

ISBN: (纸本)9798350300307

The rapidly increasing demand for mobile communication over satellite platforms and its applications necessitates a significant effort on the part of researchers to fulfill the prospective requirements of wireless network infrastructure. It is predicted that traffic will increase by multiples of hundreds soon. Therefore, the network's capacity has to multiply with high energy efficiency (EE), which can be achieved using massive multiple-input, multiple-output (M-MIMO). An adaptive scheme that maximizes energy efficiency is proposed in this paper at maximum spectral efficiency. Also, an efficient tradeoff between energy efficiency and throughput is mainly proposed. The analytical and simulation results prove that the proposed multi-cell minimum mean square error (M-MMSE) precoding scheme provides the maximum EE and efficient throughput of next-generation networks and satellite communication utilizing M- MIMO. Hence, it gives the optimum and most efficient tradeoff between EE and the throughput of the M-MIMO system. © 2023 IEEE.

关键词： Energy efficiency

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A Proposal of Speed Sensorless Control Based on IRM-ILQ Control for SPMSM Drive with Active LC Filter

A Proposal of Speed Sensorless Control Based on IRM-ILQ Cont...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Ryoki Mikami Kazuki Abe Hiroshi Takami Fuminori Ishibashi Graduate School of Electrical Eng. And Computer Science Shibaura Institute of Technology Koto-ku Tokyo Japan Dept. of Electrical Eng. and Robotics Course College of Engineering Shibaura Institute of Technology Koto-ku Tokyo Japan Dept. of Electrical Eng. Faculty of Eng. Shibaura Institute of Technology Koto-ku Tokyo Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

Generally, a position detector has been used to drive the Surface Permanent Magnet Synchronous Motor (SPMSM), because the current and voltage must be controlled according to the magnetic pole position of the rotor. However, using a position detector causes problems such as more expensive and lower reliability due to position detector failure. Therefore, the speed sensor-less control, which estimates the magnetic pole position from voltage and current without using a position detector, is required. Harmonic components in the output voltage waveform of the PWM inverter used to drive the SPMSM can cause problems such as Electromagnetic Interference (EMI). Harmonic components can be suppressed by using an LC filter. In addition, IRM-ILQ control, which combines modern control theory's Inverse Linear Quadratic (ILQ) control and Inverse Reference Model (IRM), can achieve stable and robust SPMSM drive despite with LC filter. In this paper, robustness of speed sensorless control based on IRM-ILQ current control for SPMSM with active LC filter is described. In simulation, the proposed method allows stable control even when there are parameter errors.

关键词： Maximum likelihood detection Magnetic separation Electromagnetic interference Sensorless control Detectors Nonlinear filters Drives Harmonic analysis Voltage control Power harmonic filters

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Dynamic Hybrid Approaches for Decomposition-Based Multi-Objective Reinforcement Learning with a Taxonomy and Analytical Framework

Dynamic Hybrid Approaches for Decomposition-Based Multi-Obje...

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Intelligent Technologies (ACOIT), Asian Conference on

作者： Ramakrishnan Raman Vikram Kumar Biju G. Pillai Apurv Verma Shailesh Rastogi R. Meenakshi Symbiosis International (Deemed University SRV Media Pvt. Ltd BIIB & Dean – Faculty of Management IT & Business Analytics Sri Balaji University Pune Computer science & Eng. Faculty of Engineering and Technology Parul institute of Technology Parul University Symbiosis Institute of Business Management Nagpur Symbiosis International (Deemed University) Pune Computer Science and Engineering Chennai Institute of technology

ISBN: (数字)9798350374957

ISBN: (纸本)9798350374964

In the dynamic field of Reinforcement Learning (RL), optimizing multiple objectives simultaneously poses a significant challeng., addressed by Decomposition-Based Multi-Objective Reinforcement Learning (DB-MORL). This paper introduces a comprehensive taxonomy and analytical framework for DB-MORL, emphasizing a novel algorithmDynamic Hybrid DB-MORL (DH-DB-MORL)-that innovatively adapts between scalarization and Pareto-front methods based on real-time assessments. This approach enhances the efficiency and quality of solutions by dynamically exploring the trade-offs between conflicting objectives, thereby improving both solution diversity on the Pareto front and computational efficiency. Through extensive empirical testing across various synthetic and real-world scenarios, the DH-DBMORL algorithm demonstrated notable enhancements in computational time, solution quality, and scalability compared to baseline models such as NSGA-II, MOEA/D, and SPEA2. Our findings reveal that the DH-DB-MORL algorithm significantly reduces computational time, produces a higher number of Pareto-optimal solutions, and achieves superior solution quality as evidenced by higher hypervolume scores. Additionally, the algorithm’s adaptability enables it to maintain high performance even as the complexity of the problem space increases. This study not only refines our understanding of DBMORL strategies but also sets a new benchmark for future research and applications in fields requiring nuanced Multi-Objective optimization, such as autonomous systems and resource management. The dynamic adaptability and comprehensive taxonomy provided by DH-DB-MORL offer a more effective approach to handling the complexities of high-dimensional, multi-objective problems, advancing both theoretical and practical aspects of multi-objective optimization in RL.

关键词： Heuristic algorithms Scalability Taxonomy Reinforcement learning Switches Benchmark testing Real-time systems Complexity theory Resource management Optimization

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Digital Map Generation Workflow Demonstrated on ZalaZONE Automotive Proving Ground Elements 36

Digital Map Generation Workflow Demonstrated on ZalaZONE Aut...

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36th IEEE/IFIP Network Operations and Management Symposium, NOMS 2023

作者： Somogyi, Árpád Tettamanti, Tamás Varga, Pál Szalay, Zsolt Baranyai, Dániel Lovas, Tamás Budapest University of Technology and Economics Fac. of Civil Engineering Dept. of Photogrammetry and Geoinformatics Budapest Hungary Institute for Computer Science and Control The Eötvös Loránd Research Network Systems and Control Laboratory Budapest Hungary Budapest University of Technology and Economics Fac. of Electrical Engineering and Informatics Dept. of Telecommunications and Media Informatics Budapest Hungary Budapest University of Technology and Economics Fac. of Transportation Eng. and Vehicle Eng. Dept. of Automotive Technologies Budapest Hungary

ISBN: (纸本)9781665477161

One major goal of digital twin technology applied in the Architecture, engineering, and Construction (AEC) Industry is the mapping of roads and road environments with their associated information. Such digital twins can support cost-effective testing, simulations, and the production of mapping backgrounds for automated vehicles and generally for Cooperative, Connected and Automated Mobility (CCAM) developments. The efficient workflow that leads from data acquisition to finished products depends on a number of requirements and knowledge sets. The main contribution of the paper is a general methodology of creating HD-map from point cloud and image data set. Accordingly, the most widely used survey techniques are presented and the requirements for the objects to be derived are summarized. The paper then outlines a general implementation procedure as an expert knowledge through a real-life example, where the results obtained for the ZalaZONE Automotive Proving Ground are demonstrated. © 2023 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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A PVT-Robust Open-loop Gm-Ratio ×16 Gain Residue Amplifier for >1 GS/s Pipelined ADCs

A PVT-Robust Open-loop Gm-Ratio ×16 Gain Residue Amplifier ...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Diogo Dias João Goes Tiago Costa Department of Electrical and Computers Engineering School of Science and Technology NOVA University of Lisbon Almada Portugal Department of Microelectronics Faculty of Electrical Eng. Mathematics and Computer Science Delft University of Technology Delft The Netherlands

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

This work presents the design and simulation of a PVT-robust x16 gain dynamic open-loop inverter-based Gm-ratio residue-amplifier for high-speed SAR-assisted pipeline ADCs. The amplifier is designed in a 28 nm standard bulk CMOS process with a regulated 0.9 V power supply and simulated across a -20°C to 85°C temperature range. It achieves a power dissipation of 1.67 mW at 1.3 GHz, corresponding to a power-speed ratio of 1.28 mW/GHz, with less than ±5% gain variation throughout all temperature corners in typical conditions.

关键词： Temperature distribution Power supplies Circuits and systems Pipelines Benchmark testing CMOS process Distance measurement

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Analysis of Electric Arc Furnace Influence on Power Quality in Low and Medium Voltage Networks

Analysis of Electric Arc Furnace Influence on Power Quality ...

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International Conference on Environment and Electrical engineering (EEEIC)

作者： Dariusz Grabowski Maciej Klimas Andrzej Lange Department of Electrical Engineering and Computer Science Faculty of Electrical Engineering Silesian University of Technology Gliwice Poland Department of Electrical and Power Eng. Electronics and Automation Faculty of Technical Sciences University of Warmia and Mazury Olsztyn Poland

ISBN: (数字)9798350355185

ISBN: (纸本)9798350355192

This paper focuses on analyzing power quality issues resulting from electric arc furnace operation. It highlights the challeng.s posed by the stochastic nature of the arc and proposes strategies to mitigate its impact on the power grid. Through measurements carried out on the medium and low voltage side of the furnace, fluctuations in parameters such as voltage, current, and power factor were observed, indicating significant disturbances in power quality. Mitigation strategies, including e.g. installing compensators, are suggested to stabilize the network and improve power quality, enhancing efficiency and reducing energy consumption and electrode usage.

关键词： Electrodes Economics Reactive power Energy consumption Fluctuations Power measurement Furnaces Current measurement Power quality Standards

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Optimizing Mechanical Design for an Additively Manufactured Prosthetic Leg

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Procedia computer science 2024年 232卷 2973-2983页

作者： Miguel Zamora Cordero Remzo Dedic Zlata Jelacic Rayko Toshev School of Technology and Innovations University of Vaasa Wolffintie 32 65200 Vaasa Finland Faculty of Mech. Eng. Computer Science and Electrical Eng. University of Mostar Matice hrvatske b.b. 88000 Mostar Bosna i Hercegovina Faculty of Mechanical Engineering University of Sarajevo Obala Kulina bana 7/II 71000 Sarajevo Bosna i Hercegovina

The study discussed in this paper focuses on additive manufacturing (AM) of intricate geometrically structured components of a prosthetic leg. The objective is to optimize the original design to reduce the need for support structures while maximizing stiffness and reducing weight. Making a prosthetic leg lighter can improve the mobility of a person and reduce the energy required to climb stairs, enhancing their quality of life and independence. Traditional manufacturing methods, such as injection molding and computerized numerical control (CNC) machining, have limitations in terms of design flexibility. The study used Selective Laser Melting (SLM) technology with 316L-A stainless steel powder. The optimization process focused on the knee, upper leg, lower leg, hydraulic, and oil support system. The workflow procedure for additive manufacturing was discussed. Overall, the study successfully reduced the weight of the prosthetic leg by 50% from the original model.

关键词： additive manufacturing topology optimization selective laser melting prosthetic leg

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Development of an Efficient Charging Control System for Pico-Hydro Power Generation Utilizing Multiple Impact Water Wheel (MIWW) with MPPT Control

Development of an Efficient Charging Control System for Pico...

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International Conference on Renewable Energy Research and Applications (ICRERA)

作者： Yusuke Asami Hiroshi Takami Fuminori Ishibashi Shota Kawate Hidemi Kurita Masaki Shimizu Graduate School of Electrical Eng. and Computer Science Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. and Robotics Course College of Engineering Shibaura Institute of Technology Tokyo Japan Dept. of Electrical Eng. Faculty of Engineering Shibaura Institute of Technology Tokyo Japan Koa Electronics Co. Ltd. Nagano Japan Harmony with Nature Technology Laboratory Nagano Japan Souken Group Nagano Japan

ISBN: (数字)9798350375589

ISBN: (纸本)9798350375596

This paper introduces an advanced charging control system for a Multiple Impact Water Wheel (MIWW) used in pico-hydropower generation. The control system maximizes energy conversion efficiency by employing a Maximum Power Point Tracking (MPPT) algorithm, which dynamically adjusts the system's operation based on real-time voltage and current measurements. Unlike traditional methods that rely on monitoring rotational speed, this approach simplifies the system by eliminating the need for speed sensors, thereby reducing costs and enhancing reliability. The control system is structured into four main operational phases: the water turbine acceleration phase, optimal control (MPPT) phase, drooping characteristic suppression phase, and overvoltage protection phase. Each phase is designed to optimize distinct aspects of system performance, ensuring stable and efficient power generation under varying water flow conditions. Experimental validation was conducted by subjecting the system to three different water pressure levels (0.036 MPa, 0.048 MPa, and 0.042 MPa). The results demonstrate that the system successfully maintained stable voltage and current, even during rapid fluctuations in water pressure, confirming the effectiveness of the proposed MPPT algorithm. By addressing the challeng.s of droop characteristics and overvoltage conditions, the control system ensures the reliability and efficiency of pico-hydropower systems. This research contributes to the development of cost-effective, efficient, and sustainable energy solutions, especially in regions lacking conventional power infrastructure.

关键词： Maximum power point trackers Water Fluctuations Heuristic algorithms Velocity control Wheels Sensor systems Voltage control Power generation Turbines

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Diagnosing Diabetes Disease Based on Machine Learning Techniques 1

Diagnosing Diabetes Disease Based on Machine Learning Techni...

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1st International Conference on Logistics, ICL 2024

作者： Mostafa, Salama A. Al-Dayyeni, Wisam Subhi Alsaeedi, Mokhalad Abdulameer Kadhim Hassan, Mustafa Hamid Jaber, Mustafa Musa Farooq, Umar Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Johor86400 Malaysia School of Information Technologies and Engineering ADA University BakuAZ1008 Azerbaijan Bilad Alrafidain University College Department of Computer Eng. Tech. Ba'aqubah Diyala32001 Iraq College of Information Technology Imam Ja'afar Al-Sadiq University Department of Computer Technical Engineering Al-Muthanna66002 Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad10021 Iraq School of Information Technology UNITAR International University Kelana Jaya Petaling JayaSelangor Petaling Jaya47301 Malaysia

ISBN: (纸本)9798331518844

Machine learning has been popular in medicine for offering methods and assessing disease data. Gradually, machine learning algorithms are becoming critical in attaining early disease diagnosis. Standard datasets of different types of diseases have been utilized in medical research and applications, including liver disease, diabetes, chronic kidney disease, heart disease, breast cancer, brain tumors, and many more. This research reviewed numerous machine learning algorithms for diabetes illness prediction. Subsequently, four machine learning classification algorithms of k-Nearest Neighbor (k-NN), Decision Tree (DT), Random Forest (RF), and XgBoost (XB) are selected to find the best model that performs the diabetes diagnosis. The Pima Indians Diabetes Database (PIDD) dataset is used for testing the models, which includes 768 instances and 10 features, and the class has labels of 0 that indicate negative diabetes or 1 that indicates positive diabetes. Precision, accuracy, and recall criteria are used to evaluate the performance of the algorithms. The experimental results show that the XB is the most suitable algorithm for building a diabetes diagnostic model. The XB model has the highest accuracy of 83.72% in the data split of 70% training and 30% testing. It has achieved an average accuracy of 81.20% as compared with the k-NN (74.02%), DT (77.71%), and RF (77.16%). © 2024 IEEE.

关键词： Adversarial machine learning

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Long-Distance Fiber-Optic Polarization Sensors in Hazardous Areas

Long-Distance Fiber-Optic Polarization Sensors in Hazardous ...

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National Conference on Communications (NCC)

作者： Martin Kyselak Zdenek Vylezich Jiri Vavra David Grenar Karel Slavicek Department of Electrical Engineering Faculty of Military Technology University of Defence Brno Czech Republic Dept. of Telecommunications Faculty of Electrical Eng. and Communication University of Technology Brno Czech Republic IT Infrastructure Division Institute of Computer Science Masaryk University Brno Czech Republic

ISBN: (数字)9798331536015

ISBN: (纸本)9798331536022

Due to their non-electrical characteristics, fiber-optic sensors are finding broad applications in high-risk environments. The safety of these sensors is ensured by the absence of potential differences and low detectability. This article aims to introduce polarization fiber-optic sensors and their connections, which allow for the effective placement of sensors at great distances from control rooms and sources of electrical signals. Furthermore, the research presented here focuses on maintaining high sensitivity of the sensors while also being economically efficient compared to other fiber-optic technologies. The key output of the article is the design of an arrangement of optical fiber components that ensures optimal use of sensors in challeng.ng conditions, with an emphasis on the detection of variable non-electrical quantities. The results of the work confirm that the proposed sensors offer high reliability even in extreme conditions, making them ideal for use in special applications, including long-distance detection and utilization in military or chemical environments.

关键词： Optical fiber polarization Military communication Wiring Optical fiber sensors Chemical sensors Ultraviolet sources Optical fiber networks Sensor phenomena and characterization Optical fiber testing Chemicals

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