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IEEE Latin American Symposium on Circuits and Systems (LASCAS)

作者： Antonio Carlos M. de Queiroz Luiz Carlos Macedo de Oliveira Filho COPPE/EP - Electrical Engineering Program Federal University of Rio de Janeiro Rio de Janeiro Brazil EP-Department of Electronic and Computer Engineering Federal University of Rio de Janeiro Rio de Janeiro Brazil

An investigation is made about the practicability of building electrostatic generators suitable for energy harvesting applications using 3D-printed electromechanical structures. The generators are based on variable capacitors, using structures similar to Bennet's doubler, or more complex charge multipliers. Normal ABS plastic is used for insulating and mechanical structures, and conductive ABS is used for conducting parts as capacitor plates. As these generators work at very high impedance levels, the relatively high resistivity of the material used as conductor has acceptably small effect, and the technique can be used as an inexpensive alternative for experimenting with generator structures.

关键词： Generators Capacitors Capacitance Discharges (electric) Electrostatics Plastics Power generation

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Defect formation in CsSnI3 from Density Functional Theory and Machine Learning

arXiv

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arXiv 2024年

作者： Khamdang, Chadawan Wang, Mengen Department of Electrical and Computer Engineering State University of New York at Binghamton BinghamtonNY13902 United States Materials Science and Engineering Program State University of New York at Binghamton BinghamtonNY13902 United States

Sn-based perovskites as low-toxicity materials are actively studied for optoelectronic applications. However, their performance is limited by p-type self-doping, which can be suppressed by substitutional doping on the cation sites. In this study, we combine density functional theory (DFT) calculations with machine learning (ML) to develop a predictive model and identify the key descriptors affecting formation energy and charge transition levels of the substitutional dopants in CsSnI3. Our DFT calculations create a dataset of formation energies and charge transition levels and show that Y, Sc, Al, Zr, Nb, Ba, and Sr are effective dopants that pin the Fermi level higher in the band gap, suppressing the p-type self-doping. We explore ML algorithms and propose training a random forest regression model to predict the defect formation properties. This work shows the predictive capability of combining DFT with machine learning and provides insights into the important features that determine the defect formation energetics. © 2024, CC BY-NC-SA.

关键词： Perovskite

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Partial response maximum likelihood sequence detector for a nonlinear magnetic recording channel

Partial response maximum likelihood sequence detector for a ...

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International Conference on System Science and engineering (ICSSE)

作者： Tsai-Sheng Kao Chiu-Hsiung Chen Sheng-Chih Chen Sheng-Yun Hou Yuan-Chang Chang Xsing-Bang Chou Department of Electronic Engineering Hwa-Hsia College of Technology and Commerce Taipei Taiwan Department of Computer Science and Information Engineering China University of Technology Hsinchu Taiwan Graduate Program of Digital Content and Technologies Chengchi University Taiwan

The nonlinear effects of partial erasure and transition shift, however, often limit the performance attained by the partial response maximum likelihood (PRML) detector because of model mismatch. Conventionally, the nonlinear effects are either ignored or approximated by linearization technique. In the article, a PRML detector for the PR4 model including the nonlinear effects has been developed to improve the detector performance. The new representation is more accurate and the corresponding PRML detector has better performance without increasing the realization complexity. computer simulation results show that the new representation outperforms the conventional ones due to the enhanced modeling capability. The method is also expected to be applied in the high order partial response channel.

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High Level Learning Approach for High Level Collision Avoidance Using Sensors 1

High Level Learning Approach for High Level Collision Avoida...

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1st IEEE International Interdisciplinary Humanitarian Conference for Sustainability, IIHC 2022

作者： Naibaho, Lamhot Razauddin Vertivendan, L. Karunakaran, V. Oberoi, Ashish Vishwath, N.C. Ajay Christian University of Indonesia English Language Education Study Program Faculty of Letters and Languages Indonesia Gulf Colleges Saudia Arabia Department of Computer and Information Sciences Saudi Arabia Galgotias University Department of CSE Uttar Pradesh Greater Noida India Faculty of Engineering and Technology Department of CSE Bangalore India RIMT University Department of CSE Godindgarh Mandi India Parul Institute of Engineering and Technology Parul University Aeronautical Department India

ISBN: (纸本)9781665456876

Motion planning for many unmanned aircraft is challenging because they have a larger configuration space than self-driving automobile development (Automated guided vehicles). Additionally, there are more significant uncertainties and disruptions in UAV environments, which makes inter automatic navigation more difficult. In this letter, I proposed a 2 recurrent neural networks (RL) oriented multi-UAV collision avoidance technique by modeling the unpredictability or noise in the environment. Our objective is to create a strategy that can construct a path without clashing with anything using local noisy data. But unlike supervised algorithms, RL lacks a steady training data set with floor labels, thus its collision avoidance strategies often show significant fluctuation and are difficult to reproduce. To solve these issues, we created a two-stage training method for RL-based collision avoidance. We first optimize the policy, and then we utilize a supervised learning methodology with a loss function that encourages the agents to adopt the well-known reciprocity obstacle detection mechanism. In the second step, we use transmission to fine-tune the policy. The complete computer simulation findings demonstrate that this approach can handle noisy local views with erratic sound levels and can design moment & accident paths under inadequate sensing. We review the impact of our policies in a variety of ways. © 2022 IEEE.

关键词： Recurrent neural networks

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Design of Low Input and High Output Impedance Current-mode Biquad Filter Using CDTAs with Independent Control of Quality Factor and Pole Frequency

Design of Low Input and High Output Impedance Current-mode B...

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International Symposium on Communications and Information Technologies

作者： Somsak Sattanaco Winai Jaikla Piya Supavarasuwat Wipobh Jaikhang Electrical Communication Engineering Faculty of Industrial Education King Mongkut's Institute of Technology Ladkrabang Bangkok 10520Thailand Program in electronic & Computer Engineering Faculty of Industrial Technology Chiangrai Rajabhat University Chiangrai 57100 Thailand

ISBN: (纸本)9781467355797

In this study, a single-input multiple-outputs current-mode analog biquadratic filter, based on current differencing transconducatance amplifier (CDTA) is presented. The proposed filter uses two CDTAs, one resistor and two grounded capacitors, which is well suited for integrated circuit implementation. The circuit simultaneously gives 3 standard transfer functions, namely, lowpass, highpass and bandpass filters with independent control of quality factor and pole frequency by electronic method. By summing of IHP and ILP, the notch filter can be also achieved. Moreover, the circuit possesses low input and high output impedance which would be an ideal choice for current-mode cascading. The PSPICE simulation results are included verifying the workability of the proposed filter. The given results agree well with the theoretical anticipation.

关键词： current-mode CDTA filter integrated circuit analog circuit

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Characterising insomnia: A graph spectral theory approach

Characterising insomnia: A graph spectral theory approach

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Annual International Conference of the IEEE engineering in Medicine and Biology Society (EMBC)

作者： Ramiro Chaparro-Vargas Beena Ahmed Thomas Penzel Dean Cvetkovic School of Electrical and Computing Engineering RMIT University Melbourne VIC Australia Electrical and Computer Engineering Program Texas A&M University at Qatar beena Interdisciplinary Centre for Sleep Medicine Charite Universitatsmedizin Berlin Berlin Germany

This paper introduces a computational approach to characterise healthy controls and insomniacs based on graph spectral theory. Based upon expert-generated hypnograms of sleep onset periods, a network of sleep stages transitions is derived to compute four similarity distances amongst subjects' sleeping patterns. A subsequent statistical analysis is performed to differentiate the 16-subject healthy group from a 16-patient disordered cohort. Our findings demonstrated that the similarity distances based on eigenvalues determination, i.e. d 1 and d 4 were the most reliable and robust measures to characterise insomniacs, discriminating 93% and 87% of the affected population, respectively.

关键词： Sleep Eigenvalues and eigenfunctions Matrix decomposition Electroencephalography Electromyography Electrooculography Complexity theory

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An efficient heuristic for routing and wavelength assignment in optical WDM networks

An efficient heuristic for routing and wavelength assignment...

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IEEE International Conference on Communications (ICC)

作者： Yongbing Zhang K. Taira H. Takagi S.K. Das Institute of Policy and Planning Sciences University of Tsukuba Tsukuba Ibaraki Japan Doctoral Program in Systems and Information Engineering University of Tsukuba Tsukuba Ibaraki Japan Department of Computer Science and Engineering University of Texas Arlington TX USA

ISBN: (纸本)0780374002

We propose an efficient heuristic algorithm that sets up and releases lightpaths for connection requests dynamically. We partition the routing and wavelength assignment (commonly known as RWA) problem into two subproblems and solves both of them using a well-known shortest path routing algorithm. For solving the routing subproblem, an auxiliary graph is created whereby the nodes and links in the original network are transformed to the edges and vertices, respectively, and the availability of each wavelength on the input and output links of a node as well as the number of available wavelength converters are taken into account in determining the weights of edges. Furthermore, for solving the wavelength assignment subproblem, an auxiliary graph is also utilized and the cost for wavelength conversion is taken into consideration in the edge weight function. A distinguished feature of our algorithm is that it employs more accurate network information on the availability of both the wavelengths and the wavelength converters than the existing algorithms in deciding the routing and the wavelength assignment. Simulation results show that our algorithm performs much better than previously proposed algorithms with comparable computation time, especially when the number of wavelengths is large while the number of converters at each node is limited.

关键词： Wavelength routing Wavelength assignment Optical fiber networks WDM networks Optical wavelength conversion Partitioning algorithms Heuristic algorithms Cost function Availability Computational modeling

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Passive Cancellation Method for Common-Mode Noise Based on a Nonlinear Model

Passive Cancellation Method for Common-Mode Noise Based on a...

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Asia-Pacific Symposium on Electromagnetic Compatibility (APEMC)

作者： Yeu-Torng Yau Thanh-Phu Luu Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

ISBN: (数字)9784885523472

ISBN: (纸本)9798350349498

AC-DC converters almost always require common-mode (CM) filters to restrict conducting their electromagnetic interference (EMI) emissions to the power grid and ensure compliance with EMI certification requirements. These CM filters, which are based on the well-known LC lowpass filter, are typically bulky and expensive. Hence, a method for passive $\mathbf{C M}$ current cancellation using a nonlinear model is proposed herein. This method is entirely composed of passive components and offers advantages in terms of cost and system reliability. Compared to conventional passive LC filters, the number of magnetic components remains unchanged. This study proposes the derivation of a nonlinear model to estimate the filter performance using measured data from an actual CM choke; however, the proposed method does not require the mathematical model of a CM choke.

关键词： Magnetic separation Electromagnetic interference Low-pass filters Electromagnetic compatibility Noise cancellation Mathematical models Power grids

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Load Profile Effect on Shunt Capacitor Placement in Radial Distribution Feeders

Load Profile Effect on Shunt Capacitor Placement in Radial D...

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IEEE Kansas Power and Energy Conference

作者： Meisam Mahdavi Augustine Awaafo Konrad Schmitt Manohar Chamana Department of Electrical Engineering University of Jaén Linares Jaén Spain Electrical and Computer Engineering Department Texas Tech University Lubbock TX USA Renewable Energy Program Texas Tech University Lubbock USA

Capacitor placement in electric power systems is an effective way to minimize energy losses, especially in distribution systems, where power losses are more than transmission ones. On the other hand, time-varying load levels affect energy losses amount in such networks. Therefore, load profile has an important role in determining the amount of power losses and the optimal place of shunt capacitors in radial feeders. However, embedding load variability in the capacitor placement problem enhances the computational burden and processing time, while its ignorance leads to inaccurate calculation of energy losses and subsequent optimal locations of capacitor banks. Hence, most of specialized studies have ignored load changes in their capacitor placement models because of computational burden and processing time increase. Accordingly, the present paper intent to evaluate the effect of consumption patterns on capacitor placement proposals in order to understand the importance of load variability consideration in reducing power losses through reactive power compensation. The analysis has been carried out using a mathematical programming language in several distribution systems.

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An algorithm for conditional-fault local diagnosis of multiprocessor systems under the MM⁎ model

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Theoretical computer Science 2024年 987卷

作者： Lv, Yali Lin, Cheng-Kuan Hsu, D. Frank Fan, Jianxi School of Information Technology Henan University of Chinese Medicine Zhengzhou China Department of Computer Science National Yang Ming Chiao Tung University Hsinchu Taiwan Undergraduate Degree Program of Systems Engineering and Technology National Yang Ming Chiao Tung University Hsinchu Taiwan Computer Science and Information Engineering Chung Cheng Institute of Technology NDU Taoyuan Taiwan Department of Computer and Information Science Fordham University New York United States School of Computer Science and Technology Soochow University Suzhou China

Diagnosis is a crucial subject for maintaining the reliability of multiprocessor systems. Under the MM⁎ diagnosis model, Sengupta and Dahbura proposed a polynomial-time algorithm with time complexity O(N5) to diagnose a system with N processors. In this paper, we propose a (α,β)-trees combination S(u,X,α,β) and give an algorithm to identify the fault or fault-free status of each processor for conditional local diagnosis under the MM⁎ model. According to our results, a connected network with a (α,β)-trees combination S(u,X,α,β) for a node u is conditionally locally (α+2β−3)-diagnosable at node u and the time complexity of our algorithm to diagnose u is O(α2β+αβ2). As an application, we show that our algorithm can identify the status of each node of n-dimensional star graph Sn if the faulty node number does not exceed 3n−8. Compared with existing algorithms, our algorithm allows more faulty nodes in a multiprocessor system. © 2024 Elsevier B.V.

关键词： Computational complexity

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