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2023 RIVF International Conference on Computing and Communication Technologies, RIVF 2023

作者： Nguyen, Quan M. Pham, Duy A. Pham, Dong T. Le, An D. Vo, Nguyen Q. H. Vo, Hien B. School of Electrical and Electronic Engineering Hanoi University of Science and Technology Hanoi Viet Nam Universität Osnabrück Joint Lab Artificial Intelligence and Data Science Osnabrück Germany Graduate School of Bioresource and Bioenvironmental Sciences Kyushu University Fukuoka Japan University of California San Diego Department of Electrical and Computer Engineering San DiegoCA United States Vietnamese-German University Department of Electrical and Computer Engineering Binh Duong Viet Nam

ISBN: (纸本)9798350315844

Fruit flies pose a significant threat to fruit yields, necessitating immediate detection solutions for effective pest management. In this study, we present our approach using YOLOv7 and the Jetson Nano 4GB for rapid and accurate fruit fly detection. Our methodology attains an Average Precision (AP) of 0.993 at an Intersection over Union threshold (IoU) of 0.75, facilitating almost instantaneous enumeration of ensnared fruit flies in field conditions, thereby augmenting the efficacy of pest management practices. Concurrently, the system transmits this data to either a local or cloud-based server, assisting end-users in accurately identifying regions with elevated fruit fly densities to strategically administer pesticides. This targeted approach has significant implications for sustainable agriculture as it reduces the need for widespread spraying. Moreover, our versatile method adapts for detecting other pests like aphids or beetles, serving as a valuable tool in agriculture and beyond. © 2023 IEEE.

关键词： Edge computing

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Computation of the (Positive) Largest Lyapunov Exponent Using Spice-Like programs

SSRN

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SSRN 2023年

作者： Nardo, Lucas G. Nazaré, Thalita E. Nepomuceno, Erivelton Butusov, Denis N. Arias-Garcia, Janier Graduate Program in Electrical Engineering Department of Electronic Engineering Federal University of Minas Gerais Brazil Centre for Ocean Energy Research Department of Electronic Engineering Maynooth University Ireland Youth Research Institute Saint Petersburg Electrotechnical University "LETI" Russia

In this paper, a novel method to calculate the positive largest Lyapunov exponent (LLE) using only SPICE-like programs is presented. The LLE is calculated directly from systems that are represented in schematic circuits. The method is inspired by interval extensions, which exploits divergent trajectories to calculate the lower bound error. The exponent is calculated from the slope of the line derived from the lower bound error. A differential amplifier is used to quantify this exponent along with a straightforward linear fit to the logarithm of the divergence of two pseudo circuits’ trajectories. The method is simple and different from the majority of other approaches, user-skills required relies only on SPICE-like programs. Results demonstrate that the suggested method has successfully estimated the LLE for six well-known systems. © 2023, The Authors. All rights reserved.

关键词： SPICE

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Evaluation of magnetization response of magnetic nanoparticles internalized into cultured adherent cells

Evaluation of magnetization response of magnetic nanoparticl...

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Magnetic Conference - Short Papers (INTERMAG Short Papers), IEEE International

作者： Minoru Nishida Masato Futagawa Yasushi Takemura Satoshi Ota Electrical and Electronic Engineering Course Graduate School of Integrated Science and Technology Shizuoka University Hamamatsu Japan Department of Electrical and Electronic Engineering Shizuoka University Hamamatsu Japan Department of Electrical and Computer Engineering Yokohama National University Yokohama Japan

To develop the biomedical application using magnetic nanoparticles, the magnetization properties associated with the magnetic relaxation with respect to magnetic nanoparticles internalized into cells were important. In this study, magnetization properties of magnetic nanoparticles internalized into the cultured adherent cells were measured by evaluating harmonic intensities derived from the magnetization response, which were compared to the magnetization of magnetic nanoparticles dispersed in liquid and fixed with epoxy resin. In particular, the nano-volt harmonic signals were obtained in intracellular magnetic nanoparticles. It is indicated that the particle aggregation reduced the magnetization, and the particle physical rotation was inhibited in the intracellular environment.

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Electric Arc Furnace Reactive Compensation System Using Zero Harmonic Distortion Converter

Electric Arc Furnace Reactive Compensation System Using Zero...

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作者： de Brandao, Dener A.L. Parreiras, Thiago M. Pires, Igor A. de Cardoso, Braz J.F. Federal University of Minas Gerais Graduate Program in Electrical Engineering Belo Horizonte30575-180 Brazil Federal University of Itajubá Institute of Technological Sciences Itabira37500-903 Brazil Federal University of Minas Gerais Department of Electronic Engineering Belo Horizonte30575-180 Brazil Federal University of Minas Gerais Department of Electrical Engineering Belo Horizonte30575-180 Brazil

Steel production worldwide continues to grow and, consequently, also the energy consumption of the steel sector. With the applications of the electric arc furnace route in the steelmaking process, the concern with aspects of power quality and overload of the transmission grid lines increases. This work presents the zero harmonic distortion (ZHD) converter static synchronous compensator (STATCOM), which makes it possible to increase the displacement power factor of an electric arc furnace (EAF) application from 0.88 to 0.98 with total demand distortion in the grid around 1.44% with the ZHD prototype operation, this being accomplished without using high-order sinusoidal filters and with consolidated components in the industry. © 1972-2012 IEEE.

关键词： Electric furnaces

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Service-Based Optimal Group Resource Allocation Strategy

Service-Based Optimal Group Resource Allocation Strategy

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International Conference on Ubiquitous and Future Networks, ICUFN

作者： Chaeyeon Cha Hyunggon Park Dept. Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Republic of Korea

With the increasing development of the Internet of Things (IoT), there is a growing need for efficient resource allocation to the many devices in the IoT system. This need is particularly acute in the case of time-sensitive applications, where fast resource allocation is essential. However, the resource allocation based on the Nash bargaining solution (NBS) necessitates exponentially increasing computational complexity for user dynamic systems. We propose an approach that makes groups based on the requested services and predicts a disagreement point whenever the group size changes, with the aim of reducing the computational complexity to find the NBS. Through simulation results, we demonstrate that our proposed approach outperforms the existing method in terms of execution time to find the NBS, maintaining the optimality in finding NBS.

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A Plug-and-Play DGTD Implementation for General Dispersive Media

A Plug-and-Play DGTD Implementation for General Dispersive M...

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Antennas and Propagation & USNC/URSI National Radio Science Meeting

作者： Tiago Vilela Lima Amorim Elson José Da Silva Fernando José Da Silva Moreira Fernando Lisboa Teixeira Graduate Program in Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Electrical Engineering Federal University of Minas Gerais Belo Horizonte Brazil Department of Electronic Engineering Federal University of Minas Gerais Belo Horizonte Brazil ElectroScience Laboratory The Ohio State University Columbus USA

ISBN: (数字)9798350369908

ISBN: (纸本)9798350369915

A discontinuous Galerkin implementation is presented for accurately calculating the electromagnetic scattering by general dielectric dispersive media in the time domain. To validate the formulation, the two-dimensional scattering of a TMz plane wave by a single pole Lorentz dispersive cylinder has been analyzed. The Fourier transform of the numerical solution in the time domain was compared with the analytical solution in the frequency domain at a given frequency. The results obtained are in agreement with the analytical solution.

关键词： Time-frequency analysis Fourier transforms Conferences Electromagnetic scattering Media Dielectrics Time-domain analysis Dispersion Method of moments Standards

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Substrate Surrounding Type Magnetron Sputtering Equipment Comparison of HiPIMS and DCMS Drive

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IEEJ Transactions on Fundamentals and Materials 2022年第3期142卷 101-107页

作者： Suematsu, Kota Kousaka, Hiroyuki Furuki, Tatsuya Shimizu, Tetsuhide Ohta, Takayuki Oda, Akinori Graduate School of Natural Science and Technology Gifu University 1-1 Yanagido Gifu501-1193 Japan Faculty of Engineering Gifu University 1-1 Yanagido Gifu501-1193 Japan Graduate School of Systems Design Tokyo Metropolitan University 6-6 Asahigaoka Hino191-0065 Japan Department of Electrical and Electronic Engineering Faculty of Science and Technology Meijo University 1-501 Shiogamaguchi Tempaku-ku Nagoya468-8502 Japan Department of Electrical and Electronic Engineering Chiba Institute of Technology 2-17-1 Tsudanuma Narashino275-0016 Japan

For the hard coating field, we have developed a new physical vapor deposition (PVD) technology for one-piece coating of rod parts, a magnetron sputtering device in which a cylindrical target surrounds the substrate. TiN films formed under HiPIMS and DCMS drive of the device using cylindrical Ti target were compared. It was shown that a high-hardness and dense TiN film, which is characteristic of the HiPIMS method, can be formed using the prototype substrate surrounding type magnetron sputtering device. © 2022 The Institute of electrical Engineers of Japan.

关键词： Physical vapor deposition

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Low-complexity Anomaly Detection Method based on Feature Importance using Shapley Value

Low-complexity Anomaly Detection Method based on Feature Imp...

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International Conference on Ubiquitous and Future Networks, ICUFN

作者： Joohong Rheey Hyunggon Park Dept. Electronic and Electrical Engineering Graduate Program in Smart Factory Ewha Womans University Seoul Republic of Korea

The increasing popularity of Internet of Things (IoT) devices has brought significant security challenges to IoT networks. However, most deep learning-based anomaly detection solutions often require high computation performance so that it is difficult to be implanted on low-end IoT devices with limited power and memory capacity. In this paper, we propose a low-complexity network anomaly detection method based on feature selection using the Shapley value for the Isolation Forest algorithm. The proposed feature selection method using the Shapley value can reduce the dimension of input data, thereby improving the performance with reduced computational complexity. We provide simulation results to demonstrate the effectiveness of the proposed method. The results show that the proposed method based on Isolation Forest achieves comparable performance to the deep learning method based on neural networks while using fewer dimensions than the deep learning method.

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Two-Stage Stains Reduction with Diffusion Models for Ancient Japanese Manuscripts

Two-Stage Stains Reduction with Diffusion Models for Ancient...

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Cyber-Physical Social Intelligence (ICCSI), International Conference on

作者： Yuya Yoshizu Hayata Kaneko Ryuto Ishibashi Lin Meng Mingcong Deng Graduate School of Science and Engineering Ritsumeikan University Kusatsu Shiga Japan Department of Electrical and Electronic Engineering Tokyo University of Agriculture and Technology Koganei Tokyo Japan

ISBN: (数字)9798350376739

ISBN: (纸本)9798350376746

Ancient Japanese manuscripts are a valuable cultural heritage that allows us to understand the culture and values of the past. However, due to preservation over hundreds of years, stains result in antique manuscripts, and they cause low readability and loss of contents to the manuscripts. Considering preserving these assets through virtual restoration, we propose a two-stage stain reduction based on Denoising Diffusion Restoration Models (DDRM). The stain reduction proceeds by combining removing background by the binarization and reconstruction of before-processing images by DDRM. In addition, the sequential conducting that contains patches of book pages and entire them leads to preserving local information and ensuring consistency across the pages. Generation results are qualitatively improved and more realistic than traditional binarization. Also, the proposal method is evaluated by two aspects, the stain reduction metrics and preserving characters metrics. The evaluation result shows our proposal is more effective and achieves higher restoration quality than conventional binarization.

关键词： Measurement Deep learning Image color analysis Noise reduction Diffusion models Image restoration Social intelligence Proposals Cultural differences Image reconstruction

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IoT-based Leftover Food Segmentation System for Healthcare

IoT-based Leftover Food Segmentation System for Healthcare

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Cyber-Physical Social Intelligence (ICCSI), International Conference on

作者： Shunsuke Hayashi Ryuto Ishibashi Lin Meng Mingcong Deng Graduate School of Science and Engineering Ritsumeikan University Kusatsu Shiga Japan Department of Electrical and Electronic Engineering Tokyo University of Agriculture and Technology Koganei Tokyo Japan

ISBN: (数字)9798350376739

ISBN: (纸本)9798350376746

Due to declining birthrate and aging population in our society, the number of people in need of care is increasing. Recording the amount of leftover food by care recipients is a critical task; However, due to the shortage of caregivers, automation through IoT-based system is required. This paper proposes a user-friendly leftover detection system using Android device to reducing caregiver burden and improving the accuracy of leftover measurements for monitoring health. This system includes functionalities for easy annotation, training, and inference execution on Android. Additionally, the system is designed to allow the selection of continuous learning as a training method, enabling the model to be trained with newly added data in a short amount of time. The AI model used in this system not only infers leftover areas from input images but also implements algorithms for detecting anomalous inputs. In the experiments, the our system’s inference performance for leftover rice and soup achieved a mIoU of 0.876. And the implementation of continuous learning significantly reduced training time while maintaining model performance, enhancing system efficiency and user-friendliness. In anomaly detection, the system was able to effectively exclude data unrelated to the meal setup. Future work includes incorporating advanced AI models, such as SAM, to assist the annotation process, further alleviating user burden.

关键词： Training Image segmentation Accuracy Annotations System performance Data models Social intelligence Recording Artificial intelligence Anomaly detection

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