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Frontiers in Optics, FiO 2022

作者： Park, Seungkyun Lee, Dayeong Park, Namkyoo Yu, Sunkyu Intelligent Wave Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of Photonic Systems Laboratory Department of Electrical and Computer Engineering Seoul National University Seoul08826 Korea Republic of

We investigate supersymmetric transformations for engineering the short-range order of material. In crystals and quasicrystals, the weak value momentum of the ground state determines the control of short-range order w...

ISBN: (纸本)9781557528209

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A Transformer Design with PCB Litz Wire Concept for Solid State Transformer

A Transformer Design with PCB Litz Wire Concept for Solid St...

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2023 IEEE Energy Conversion Congress and Exposition, ECCE 2023

作者： Li, Zheqing Jin, Feng Lou, Xin Hsieh, Yi-Hsun Li, Qiang Lee, Fred C. Virginia Polytechnic and State University Center for Power Electronic Systems Bradley Department of Electrical and Computer Engineering BlacksburgVA24061 United States

ISBN: (纸本)9798350316445

Litz wire is known for its ability to minimize winding losses in high-frequency applications. However, its implementation in PCB winding poses significant challenges. This paper presents a novel PCB Litz wire concept aimed at minimizing winding loss in high-frequency applications, specifically in the design of a solid-state transformer using PCB-winding-based technology. The proposed PCB Litz wire is designed in a circular winding configuration with curved strands, optimizing its performance. The construction method and the turn-to-turn connection are demonstrated. Factors affecting the resistance of the PCB Litz wire, including the number of strands, their width, and section, are discussed. The results show that compared to traditional PCB winding, the PCB Litz wire achieves a 30% reduction in winding loss and significantly improves current distribution, leading to enhanced thermal performance. To validate the concept's effectiveness, a prototype of a 1.6/1.05kV, 190kHz, 30-kW CLLC converter is built, demonstrating an impressive 98.8% efficiency. © 2023 IEEE.

关键词： PCB Litz PCB winding Solid-state transformer (SST) Transformer design

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Factored Task and Motion Planning with Combined Optimization, Sampling and Learning

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arXiv 2024年

作者： Ortiz-Haro, Joaquim TU Berlin Faculty IV - Electrical Engineering and Computer Science Learning and Intelligent Systems Germany

Modern robots excel at performing simple and repetitive tasks in controlled environments;however, future applications, such as robotic construction and assistance, will require long-term planning of physical interactions. These problems can be formulated as Task and Motion Planning (TAMP). The goal is to find how the robot should move to solve complex tasks requiring multiple interactions with objects in the environment, such as building furniture or cleaning and organizing the kitchen. However, TAMP is notoriously difficult to solve because it involves a tight combination of task planning and motion planning, considering geometric and physical constraints. In this thesis, we aim to improve the performance of TAMP algorithms from three complementary perspectives. First, we investigate the integration of discrete task planning with continuous trajectory optimization. Our main contribution is a conflict-based solver that automatically discovers why a task plan might fail when considering the constraints of the physical world. This information is then fed back into the task planner, resulting in an efficient, bidirectional, and intuitive interface between task and motion, capable of solving TAMP problems with multiple objects, robots, and tight physical constraints. Traditionally, there have been two competing approaches to solving TAMP problems: sample-based and optimization-based methods. In the second part, we first illustrate that, given the wide range of tasks and environments within TAMP, neither sampling nor optimization is superior in all settings. To combine the strengths of both approaches, we have designed meta-solvers for TAMP, adaptive solvers that automatically select which algorithms and computations to use and how to best decompose each problem to find a solution faster. A third promising direction to improve TAMP algorithms is to learn from previous solutions to similar problems. In the third part, we combine deep learning architectures with model-base

关键词： Motion planning

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Personalized Data-Driven State Models of the Circadian Dynamics in a Biometric Signal 46

Personalized Data-Driven State Models of the Circadian Dynam...

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46th Annual International Conference of the IEEE engineering in Medicine and Biology Society, EMBC 2024

作者： Ike, Chukwuemeka O. Wen, Yunshi Wen, John T. Oishi, Meeko M.K. Brown, Lee K. Julius, A. Agung Rensselaer Polytechnic Institute Department of Electrical Computer and Systems Engineering TroyNY United States Engineering Research Center TroyNY United States University of New Mexico Department of Electrical and Computer Engineering AlbuquerqueNM United States University of New Mexico Department of Internal Medicine AlbuquerqueNM United States

ISBN: (纸本)9798350371499

Circadian rhythms are endogenous 24-hour oscillations that are vital for maintaining our overall well-being. They are driven at a high level by a core circadian clock located in the brain, making their dynamics difficult to track. Various modeling approaches exist to predict the dynamics, but as the models are typically designed on population-level data, their performance is diminished on the individual level. This paper proposes a method for learning personalized latent state models, i.e., dynamical models that explicitly use latent state variables, that relate circadian input(s) to observable biometric signals. Our models combine an autoencoder with a recurrent neural network and use the pair to model the salient dynamics present in the data. We validate our method using experimental data, where the circadian input is light and the biometric data are actigraphy signals. We demonstrate that our method results in models with low-dimensional latent state that can accurately reconstruct and predict the observable biometric signals. Further, we show that the oscillation of the learned latent state agrees with the subjects' circadian clock oscillation as estimated with melatonin *** relevance - This proposes a technique for personal-ized modeling of the circadian system with potential applications in feedback control and individualized circadian studies. © 2024 IEEE.

关键词： Feedback control

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IoT for Sustainable Hospitality: A Systematic Review of Opportunities and Challenges for the Hospitality Industry Revolution 19

IoT for Sustainable Hospitality: A Systematic Review of Oppo...

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19th Annual International Conference on Distributed Computing in Smart systems and the Internet of Things, DCOSS-IoT 2023

作者： Poullas, Marios S. Kakoulli, Elena Neapolis University Pafos Intelligent Systems Laboratory Department of Computer Science Pafos Cyprus Cell and Developmental Biology University College London London United Kingdom Cyprus University of Technology Electrical Engineering and Computer Engineering and Informatics Limassol Cyprus

ISBN: (纸本)9798350346497

Technology has influenced the hospitality industry, and the Internet of Things (IoT) has become a focus for sustainability, revenue growth, and problem-solving. This systematic review examined the opportunities and challenges of implementing IoT technology for a sustainable hospitality. Through a thorough analysis of 28 studies, we found that IoT technology has great potential to address sustainability issues in the hospitality industry. However, there are still significant challenges that need to be addressed for the successful implementation of IoT technology in the hospitality industry. Overall, this study highlights the potential of IoT technology to revolutionize the hospitality industry and make it more sustainable. Further research is needed to address the challenges of IoT implementation in the hospitality industry and to evaluate the effectiveness of IoT technology in achieving sustainability goals. © 2023 IEEE.

关键词： Energy efficiency

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Vector Control of PMSM Based on Improved Sliding Mode Observer and Controller 3

Vector Control of PMSM Based on Improved Sliding Mode Observ...

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2022 3rd International Conference on electrical Technology and Automatic Control, ICETAC 2022

作者： Li, Xinyan Xu, Hanbin Wei, Yiying Zheng, Yanling Zhou, Yongping School of Mechanical and Electrical Engineering Wuhan University of Technology Wuhan430070 China Intelligent Transportation Systems Research Center Wuhan University of Technology Wuhan430070 China

This paper presents a sensorless speed control method of permanent magnet synchronous motor (PMSM) applying sliding-mode control theory, to enhance the observation precision and improve robustness of control system. Firstly, an improved full-order sliding mode observer (FSMO) with sigmoid function is gifted to weaken the high-frequency (HF) chattering caused by conventional sliding mode observer (SMO). The quadrature phase-locked loop (PLL) is used to calculate high-precision rotor location and speed, avoiding the use of filter. Then the nonsingular fast terminal sliding mode controller (NFTSMC) in speed controller is introduced to replace traditional proportional integral (PI) controller to improve the dynamic performance of control system. The outcomes verify that the presented control method enhances the overall observation precision, suppresses HF chattering, and increases dynamic and stable state response of PMSM. © Published under licence by IOP Publishing Ltd.

关键词： Phase locked loops

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Energy Efficiency Optimization in Massive MIMO systems with Low-Resolution ADCs 2

Energy Efficiency Optimization in Massive MIMO Systems with ...

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2nd International Conference on Multidisciplinary engineering and Applied Science, ICMEAS 2023

作者： Musa, Abdulwaheed Adebayo, Abdullateef Ola Peace Balogun, Oluwasijibomi Kwara State University Department of Electrical and Computer Engineering Malete Nigeria Kwara State University Centre for Artificial Intelligence and Machine Learning Systems Malete Nigeria University of Johannesburg Institute for Intelligent Systems South Africa

ISBN: (纸本)9798350358834

Massive multiple-input multiple-output (MIMO) is a promising 5G technology, but the high energy consumption from numerous radio components is a key challenge. Prior work has explored higher than 4-bit ADCs, but very low 1-2 bit remain uninvestigated. This paper provides an in-depth examination of the resolution versus power savings and signal quality degradation trade-offs with 1-3-bit analog-to-digital converters (ADCs) in Massive MIMO systems. Mathematical modeling and simulations quantify the exponential reduction in power consumption along with losses in key performance metrics like signal-to-interference-plus-noise ratio (SINR), throughput, and spectral efficiency with lower ADC resolutions stemming from increased quantization noise. Advanced linear detection techniques are shown to effectively recover the signal quality degradation. The analysis provides valuable insights on jointly optimizing ADC configuration and signal processing to maximize overall system efficiency. Energy savings of over 50% are demonstrated with 1-bit ADCs along with the ability to maintain acceptable performance metrics using linear detectors. The practical implementation feasibility is also discussed. This work enables ultra-low-resolution ADC deployments in energy-efficient Massive MIMO systems. © 2023 IEEE.

关键词： Energy efficiency

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NDN Collaborative Caching Replacement and Placement Policy Performance Evaluation 10

NDN Collaborative Caching Replacement and Placement Policy P...

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10th International Conference on Wireless and Telematics, ICWT 2024

作者： Zaki Hamidi, Eki Ahmad Akbar, Khibran Muhammad Negara, Ridha Muldina Payangan, Ivah Puspita Puspitaningsih, Mutiara Dewi Putri As'ari, Adzka Zahratu Jupriyadi UIN Sunan Gunung Djati Bandung Electrical Engineering Department Bandung Indonesia Telkom University School of Electrical Engineering Bandung Indonesia The University Center of Excellence Intelligent Sensing-IoT Telkom University Indonesia Telkom University School of Electrical Engineering Indonesia Institut Teknologi Bandung School of Electrical Engineering and Informatics Bandung Indonesia Universitas Teknokrat Indonesia Faculty of Engineering and Computer Science Bandarlampung Indonesia

ISBN: (纸本)9798350377057

Named Data Networking (NDN) is an emerging technology that aims to provide rapid and efficient content distribution and retrieval in the network. This paper focuses on the impact of selecting the pair between cache replacement and placement within NDN, an aspect often overlooked in previous research. Four cache placement strategies will be implemented in the initial simulation: Leave Copy Down (LCD), Leave Copy Everywhere (LCE), Prob Cache, and Cache Less for More (CL4M). Each cache placement will be combined with two replacements: least frequently used (LFU) and least recently used (LRU). The effects of these combinations on critical metrics such as cache hit ratio, latency, link load, and path stretch are investigated. The results reveal that LCE combined with LFU demonstrates remarkable enhancements in all measurements over LCE coupled with LRU. These findings underscore the importance of meticulous selection and optimization of cache placement and replacement strategies in NDN environments to augment network efficiency and performance. © 2024 IEEE.

关键词： Neodymium alloys

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Robust Control of Feeding Speed for Coal Mine Tunnel Drilling Machines 25

Robust Control of Feeding Speed for Coal Mine Tunnel Drillin...

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25th IEEE International Conference on Industrial Technology, ICIT 2024

作者： Liu, Xiao Chen, Luefeng Wu, Min Cao, Weihua Lu, Chengda Pedrycz, Witold School of Automation China University of Geosciences Wuhan China School of Automation The Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems The Engineering Research Center of Intelligent Technology for Geo-Exploration Wuhan430074 China University of Alberta Department of Electrical and Computer Engineering EdmontonABT6G 2R3 Canada Systems Research Institute Polish Academy of Sciences Warsaw00-901 Poland Istinye University Department of Computer Engineering Sariyer Istanbul34396 Turkey

Changes in coal seam hardness cause fluctuations in the feed resistance at the drill bit during the drilling process, leading to unstable feeding speed. This paper proposes a robust dynamic output feedback controller to suppress disturbances caused by the variations in coal seam hardness in the feed system. Firstly, an unknown parameter measuring coal seam hardness is introduced, and an uncertain model of the feeding system is established based on the finite element model of the drill string. By designing weighted functions based on industrial field requirements and constructing a generalized plant, the controller achieves loop shaping, reducing the low-frequency impact of coal seam hardness variations on the feed system and suppressing the systems resonance peak. Simulation results demonstrate that the controller effectively suppresses parameter variations and external disturbances caused by changes in coal seam hardness, achieving stable control of the drilling speed. © 2024 IEEE.

关键词： Robust control

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Reinforcement Learning Human Inverse Kinematics of an Upper Limb Exoskeleton Robot

Reinforcement Learning Human Inverse Kinematics of an Upper ...

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2023 Advances in Science and engineering Technology International Conferences, ASET 2023

作者： Abdallah, Mahmoud Saad, Maarouf Fareh, Raouf Kali, Yassine Bettayeb, Maamar Ecole de Technologie Supérieure Department of Electrical Engineering Montréal Canada University of Sharjah Department of Electrical Engineering Sharjah United Arab Emirates King Abdulaziz University Center of Excellence in Intelligent Engineering Systems Jeddah Saudi Arabia

ISBN: (纸本)9781665454742

This paper presents a Reinforcement Learning (RL)-based swivel angle estimation for an upper-limb 7-DoF exoskeleton robot. Choosing the best swivel angle in the rehabilitation process helps in ensuring the safety and the comfortability of the patient's upper-extremity movement. Also, fixing the swivel angle will result in having one unique IK solution. The RL agent is trained to estimate the swivel angle that minimizes the discomfort index of the patient's upper limb. After training the agent, it is used to simulate a workspace trajectory to validate the IK solution with the fixed swivel angle value. Simulation results are showing the feasibility and effectiveness of using RL in solving the IK for 7-DoF exoskeleton robots. © 2023 IEEE.

关键词： Inverse kinematics

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