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3rd IEEE International Conference on Control, Instrumentation, Energy and Communication, CIEC 2024

作者： Mukherjee, Arijit Mukherjee, Surojit Future Institute of Technology Deptartment of Electrical Engineering Kolkata India Great Lakes Institute of Management Post-Graduate Program in Management Chennai India

ISBN: (纸本)9798350313703

Efficient production planning requires well-structured models compatible with metaheuristic and other optimization techniques. This study compares three established metaheuristic methods - sanitized-teaching-learning-based optimization (s-TLBO), Particle Swarm Optimization (PSO), and Differential Evolution (DE) with a termination criterion of equal number of functional evaluations - for profit-maximizing production planning. The focus is on a single-level problem involving complex constraints, non-linear costs, budget and raw material limitations. The paper presents two solution strategies: a penalty-based and a correction-based approach. Analyzing 300 unique instances of the problem reveals that s-TLBO implemented with correction-based approach consistently outperforms the other methods in devising optimal production plans for two Saudi Arabian petrochemical industries with 24 products, 54 processes, and three raw materials for plant 1 and two raw materials for plant 2. © 2024 IEEE.

关键词： Combinatorial optimization

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Universal Active Power Filter Based on AC-DC-AC Converter with Six Controlled Switches for Single-Phase Systems 12

Universal Active Power Filter Based on AC-DC-AC Converter wi...

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12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

作者： Rodrigues, Phelipe L. S. Jacobina, Cursino B. Lima, Antonio M. N. Post-Graduate Program in Electrical Engineering - PPgEE - Copele Campina Grande Paraíba58429-900 Brazil Department of Electrical Engineering Campina Grande Paraíba58429-900 Brazil

ISBN: (数字)9781728158266

ISBN: (纸本)9781728158266

This paper presents an ac-dc-ac converter with six controlled switches for single-phase systems applied as a universal active power filter (UAPF). The proposed topology is feasible for compensating voltages swells and harmonics generated by nonlinear loads. The difference between the conventional and proposed topology is the replacement of a controlled leg (composed of IGBTs) for an uncontrolled leg (composed only of diodes). For performance comparisons, current THD, switching and conduction losses of the semiconductors, average switching frequency, and power in the transformer were used as parameters. Control and pulsewidth modulation techniques based on space vector approaches were developed to eliminate zero-crossing distortions caused by the use of the uncontrolled leg. Simulation and experimental results were presented for validation of the mathematical model. © 2020 IEEE.

关键词： Topology

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Neural Constraints on Cognitive Experience and Mental Health

arXiv

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arXiv 2025年

作者： Shariatpanahi, Bita Nozari, Erfan Daftarian, Soroush Arab, Fahimeh Kheirkhah, Mina Bernhard, Felix P. Khodadadi, Shiva Giltay, Erik J. Hebbrecht, Kaat Hofmann, Stefan G. Hahn, Tim Jamalabadi, Hamidreza Department of Psychiatry and Psychotherapy University of Marburg Germany Department of Mechanical Engineering University of California RiversideCA United States Department of Electrical and Computer Engineering University of California Riverside RiversideCA United States Department of Bioengineering University of California Riverside RiversideCA United States Neuroscience Graduate Program University of California Riverside RiversideCA United States Experimental Therapeutics and Pathophysiology Branch National Institute of Mental Health Bethesda MD United States University of Antwerp Belgium Department of Psychiatry Leiden University Medical Center Netherlands Department of Psychology University of Marburg Germany Institute for Translational Psychiatry University of Münster Germany University of Marburg Germany

Understanding how neural dynamics shape cognitive experiences remains a central challenge in neuroscience and psychiatry. Here, we present a novel framework leveraging state-to-output controllability from dynamical systems theory to model the interplay between cognitive perturbations, neural activity, and subjective experience. We demonstrate that large-scale fMRI signals are constrained to low-dimensional manifolds, where affective and cognitive states are naturally organized. Furthermore, we provide a theoretically robust method to estimate the controllability Gramian from steady-state neural responses, offering a direct measure of the energy required to steer cognitive outcomes. In five healthy participants viewing 2,185 emotionally evocative short videos, our analyses reveal a strong alignment between neural activations and affective ratings, with an average correlation of r ≈ 0.7. In a clinical cohort of 255 patients with major depressive disorder, biweekly Hamilton Rating Scale trajectories over 11 weeks significantly mapped onto these manifolds, explaining approximately 20% more variance than chance (p −10, numerically better than chance in 93% reaching statistical significance in one-third of subjects). Our work bridges dynamical systems theory and clinical neuroscience, providing a principled approach to optimize mental health treatments by targeting the most efficient neural pathways for cognitive change. © 2025, CC BY-NC-SA.

关键词： System theory

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A Study of Parameters Required for a Thermogram Dataset in Obesity Detection: A Systematic Review

A Study of Parameters Required for a Thermogram Dataset in O...

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2021 International Conference on computer System, Information Technology, and electrical engineering, COSITE 2021

作者： Leo, Hendrik Saddami, Khairun Roslidar, Roslidar Oktiana, Maulisa Arnia, Fitri Munadi, Khairul Universitas Syiah Kuala Post Graduate Programme in Engineering Banda Aceh Indonesia Universitas Syiah Kuala Department of Electrical and Computer Engineering Banda Aceh Indonesia

ISBN: (纸本)9781665425094

Developing an early detection system of obesity is very important to prevent the increase rate of obesity. Infrared thermography (IRT) can be a potential approach to an early detection of obesity. Deep learning (DL) models can interpret thermogram acquired from IRT. However, studies related to DL based on IRT are still few, and access to thermograms datasets is limited. In this article, we aim to: (1) summarize studies on thermal image datasets of obesity and (2) discuss parameters that need to be considered in acquiring and building a thermal image dataset of obesity. A comprehensive online search was performed in different databases, and the inclusion criteria fitted 12 studies. The collected studies are summarized, and the parameters that need to be considered are discussed. The parameters such as participant quantity, participant condition, image quantity, and body region need to be readjusted with the study's objectives. The other parameters, such as participant selection and control parameters, room protocol, and thermal camera settings need to be configured to reduce BAT activation factors during image acquisition. © 2021 IEEE.

关键词： Thermography (temperature measurement)

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Virtual instrumentation interfaces for real-time control and display of electric machine drives

Virtual instrumentation interfaces for real-time control and...

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2008 ASEE Annual Conference and Exposition

作者： Sundaram, Ramakrishnan Mak, Fong Tandle, Sunil Gannon University Department of Electrical and Computer Engineering Gannon University Gannon/GE Transportation Embedded System Graduate Program

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Dual Vienna Rectifiers with a Single Dc-link for Wind Energy Conversion System Applications 12

Dual Vienna Rectifiers with a Single Dc-link for Wind Energy...

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12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020

作者： Monteiro, Amanda P. Jacobina, Cursino B. Bahia, Filipe A. C. Sousa, Reuben P. R. Post-Graduate Program in Electrical Engineering PPgEE/COPELE Campina Grande Paraíba58429-900 Brazil Salvador Bahia40210-630 Brazil

ISBN: (纸本)9781728158266

In this paper, dual Vienna rectifiers are proposed for Wind Energy Conversion System (WECS) applications with Open-End Winding (OEW) Permanent Magnet Synchronous Generator (PMSG). Due to the reduced number of controlled switches, the proposed topologies have reduced costs and high reliability. Besides, they provide a better power quality using the same number of controlled switches than conventional structures presented in the literature, making them very attractive options for industry applications. The system model, space vector modulation, and control strategy are given. Simulation results are provided in order to validate their performance and feasibility. © 2020 IEEE.

关键词： Vector spaces

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Hierarchical modeling of nano-oscillator systems 16

Hierarchical modeling of nano-oscillator systems

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16th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2018

作者： Hull, Zachary Chiarulli, Donald Computer Engineering Graduate Program University of Pittsburgh PittsburghPA15261 United States Electrical and Computer Engineering University of Pittsburgh PittsburghPA15261 United States

ISBN: (纸本)9783800747665

This paper describes our effort to build a set of models for nano-oscillator systems that is compatible with modern EDA design tools. We have implemented a set of hierarchical models that spans an abstraction hierarchy patterned after CMOS design and includes device, circuit and system level models. The device models are based on empirical data sampled from hardware and the circuit and system models were verified against SPICE, MATLAB and C++. To date, we have built models for Spin Torque Oscillator (STO) based systems and Vanadium Dioxide (VO2) devices based on relaxation oscillator clusters. For space limitations, the examples shown here are based on the VO2 case. © VDE VERLAG GMBH.

关键词： Vanadium dioxide

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Development of teaching materials for improving motivation to learn electromagnetics using ict

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IEEJ Transactions on Fundamentals and Materials 2020年第4期140卷 171-178页

作者： Ohtaki, Yu Ohchi, Masashi Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan

In this research, we have been developed teaching materials for electromagnetics that demonstrate theories using real-world actual applications (capacitors, coils, piezoelectric elements, Wireless Power Transfer(WPT), WiFi, direct-current motor, etc.) presented as animations and video data via Web services. Hypertext Markup Language (HTML) and JavaScript were used to create the Web services for teaching materials. Recently, the lack of academic ability of Japanese engineering course students has become a large social problem at Japanese higher education. In particular, in the field of electrical engineering education, the visualization and mathematical abilities of students have been declining remarkably. In addition, today's teaching materials for educational institutions in Japan tend to reply primarily on rote learning. However, we consider that rote learning is not the primary method for university education. We tested our new developed materials on students learning motivation of electromagnetics and evaluated their effectiveness with some questionnaires. It was clear that the new teaching method has effectiveness for increasing learning motivation of Electromagnetics. © 2020 The Institute of electrical Engineers of Japan.

关键词： Web services

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Study on estimating electric potential in space between parallel electrodes

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IEEJ Transactions on Fundamentals and Materials 2018年第8期138卷 400-407页

作者： Tsujita, Atsushi Ohchi, Masashi Wakimoto, Takayuki Master's Program in Electrical Electronics and Computer Engineering Graduate School of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan Department of Electrical and Electronic Engineering Faculty of Engineering Chiba Institute of Technology 2-17-1 Tudanuma Narashino275-0016 Japan

We have been studying on estimating distribution of permittivity between measurement electrodes using capacitance and electric potential. Two arc electrodes were separated by long distance and there electrodes were surrounded by additional electrodes respectively. In past research work, we carried out numerical electric analysis for calculating the capacitance and electric potential using Finite Element Method(FEM) and compared with experimental and numerical results. The capacitance values were almost agree with experimental and numerical results. However, the electric potential values were different between experimental and numerical results in conventional studies. In this paper, we proposed an equivalent circuit including the stray capacity and measurement method for capacitance, the electric potential in space between long distance electrodes was estimeded. © 2018 The Institute of electrical Engineers of Japan.

关键词： Electric potential

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Evolutionary computation and swarm intelligence for the inference of gene regulatory networks

Evolutionary computation and swarm intelligence for the infe...

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作者： Hattori, Leandro Takeshi Lopes, Heitor Silvério Lopes, Fabrício Martins Graduate Program in Electrical and Computer Engineering Federal University of Technology ParanáCuritiba Brazil Graduate Program in Bioinformatics Federal University of Technology ParanáCornélio Procópio Brazil

The inference of gene regulatory networks (GRNs) from expression profiles is still an important challenge in bioinformatics research. The main difficulty of this problem is associated to the huge number of genes and the small number of samples available, as well as the intrinsic noise in the data acquisition process. In this context, this paper presents a feature selection approach to the identification of GRNs using optimisation strategies from evolutionary computation and swarm intelligence. As a case-study we used an artificial gene network (AGN) based on the scale-free topology. This AGN has 1,000 genes and was simulated with 500 temporal expression samples. The methods compared were: differential evolution (DE), bat algorithm (BAT) and artificial bee colony (ABC) algorithms. All algorithms used their standard control parameters and the same criterion function: the mean conditional entropy (MCE). This is an information theory measure, commonly adopted for various feature selection problems in the pattern recognition research field. The results showed that DE algorithm leaded to the best results than BAT and ABC in all comparisons, and the inferred network was more similar to the original network. Copyright © 2016 Inderscience Enterprises Ltd.

关键词： Evolutionary algorithms

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