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Global Energy Conference (GEC)

作者： Sylvester Akiishi Ahmed Ali Ebenezer Esenogho Department of Electrical and Electronics Engineering University of Johannesburg Johannesburg South Africa Department of Engineering Technology University of Johannesburg Johannesburg South Africa College of Graduate Studies University of South Africa Pretoria Department of Electrical Engineering University of Botswana Gaborone Botswana

ISBN: (数字)9798331532611

ISBN: (纸本)9798331532628

5G Communication technologies are crucial realising the potential benefits of smart grids (SG), enabling real-time communication between electric utilities, their devices and customers on the network. Massive multiple input multiple output communication (MIMO) is a key technique in 5G, enhancing energy efficiency and high data rates communication. However, it is imperative to have accurate and realistic channel models for effective MIMO communication; this complicated task is achieved using MIMO channel simulators. Thus, the MIMO simulator reproduces the statistical properties of the non-realizable reference model with sufficient accuracy while keeping complexity very low. Nevertheless, designing accurate and efficient MIMO channel simulators is often challenging. This paper examines the theoretical performance of the MIMO channel simulator in an isotropic environment using both existing and newly modified parameterisation methods. The existing methods include the Extended Method of Exact Doppler Spread (EMEDS) and the Modified Method of Equal Area (MMEA). The new improved methods are Modified Extended Method of Exact Doppler Spread (MEMEDS) and the New Modified Method of Equal Area (NMMEA). Theoretical performance evaluations of the MIMO channel simulator using this conventional and enhanced methods are investigated.

关键词： Accuracy 5G mobile communication Computational modeling MIMO Real-time systems Numerical models Smart grids Performance analysis Doppler effect Channel models

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A new method for direct extraction of ambipolar diffusion length in a thin film by scanning photoluminescence microscopy

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Japanese Journal of Applied Physics 2024年第1期63卷 010906-010906页

作者： Wei, Yu-Chien Chu, Cheng-Hao Mao, Ming-Hua Lin, You-Ru Lin, Hao-Hsiung Graduate Institute of Electronics Engineering National Taiwan University Taipei10617 Taiwan Department of Electrical Engineering National Taiwan University Taipei10617 Taiwan Graduate Institute of Photonics and Optoelectronics National Taiwan University Taipei10617 Taiwan

In this study, we demonstrate a new method of scanning photoluminescence (PL) microscopy (SPLM) to directly extract the ambipolar diffusion length in a GaAs thin film. The PL intensity of the GaAs thin film was recorded while the excitation source scanned along a 400 nm wide slit between the metal masks to avoid the influence of surface recombination and light scattering at the sample edge. The experimental SPLM profile showed a simple-exponential-decay functional form and was numerically verified. A fitted decay length of 723 nm was extracted, which represents the ambipolar diffusion length of the GaAs thin film and agrees well with our previous study. © 2024 The Japan Society of Applied Physics.

关键词： Light scattering

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A routing method using chaotic neurodynamics for the transportation networks with the next generation vehicles

A routing method using chaotic neurodynamics for the transpo...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： Takatoshi Inaba Konosuke Hiraki Takafumi Matsuura Takayuki Kimura Graduate School of Electronics Information and Media Engineering Nippon Institute of Technology Saitama Japan Graduate School of Electronics Information and Media Engineering Nippon Institute of Technology Saitama Japan Department of Data Science Faculty of Advanced Engineering Nippon Institute of Technology Saitama Japan Department of Electrical Electronics and Communication Engineering Nippon Institute of Technology Saitama Japan

ISBN: (数字)9798350330991

ISBN: (纸本)9798350331004

Traffic congestion in the transportation networks, which increases vehicle travel times, energy consumption, and environmental pollution, is one of the major social problems occurring in most urban areas. One of the ways to reduce traffic congestion is to use effective routing methods to guide vehicles to their destinations that avoid or reduce traffic congestion. However, routing for vehicles, especially in urban areas, is difficult due to the dynamic and unpredictable nature of the transportation networks. To deal with these characteristics, the use of connected vehicles, which successfully obtain real-time data by using Internet communication, is attracting as the vehicles in the transportation networks. The ability to communicate over the Internet allows connected vehicles to communicate with other connected vehicles and infrastructure to monitor road congestion. In this work, we propose a routing method using chaotic neurodynamics for the transportation networks in which connected vehicle move and evaluate its effectiveness. In addition, we use Simulation of Urban MObility (SUMO) traffic simulator to construct realistic traffic environments. Numerical experiments using SUMO show that the routing method using chaotic neuro-dynamics shows effective routing performance compared to other routing methods in both the number of arriving vehicles and the average travel time.

关键词： Neurodynamics Connected vehicles Chaotic communication Roads Urban areas Transportation Routing

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Analysis of the Need for Passengers' Connectivity Aboard the Ship by using Kano Model

Analysis of the Need for Passengers' Connectivity Aboard the...

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2021 International Conference on Green Energy, Computing and Sustainable Technology, GECOST 2021

作者： Pardomuan, Remon Suryanegara, Muhammad Universitas Indonesia Graduate Program in Telecommunications Management Department of Electrical Engineering Jakarta Indonesia

ISBN: (纸本)9781665438650

This paper aims to analyze passenger needs for network connectivity on the ship during traveling at the shipping line of Indonesian XYZ Company. The current connectivity infrastructure on board is supported by VSAT technology, but limited only for the ship's crew. Meanwhile, the passengers have difficulty to connect mobile cellular services while sailing. Therefore, providing the service over such a connectivity to the passengers can be an added values for the XYZ Company. This study uses Kano Model of the 11 attributes, and collect a primary data from 138 passengers sailing at PQR ship. It results recommendations portraying the passenger's need for shipping telecommunications during the sailing trip. © 2021 IEEE.

关键词： Ships

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Vehicle Wheel Hub Recognition Method Based on HOG Feature Extraction and SVM Classifier 14

Vehicle Wheel Hub Recognition Method Based on HOG Feature Ex...

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14th International Conference on Information Technology and electrical engineering, ICITEE 2022

作者： Wang, Bin Juanatas, Ronaldo Niguidula, Jasmin Anhui Technical College of Mechanical and Electrical Engineering Internet and Communications Department Wuhu China Technological University of the Philippines Graduate Program and External Studies Manila Philippines

ISBN: (数字)9781665460774

ISBN: (纸本)9781665460774

In order to avoid the problems of low accuracy of wheel hub recognition and classification and excessive dependence on template image quality in the process of automatic production of the automobile wheel hub, a vehicle wheel hub recognition method based on Histogram of Oriented Gradient (HOG) and Support Vector Machine (SVM) is proposed. Firstly, the wheel hub images under three different lighting conditions are collected, and the wheel hub images are processed in grayscale;Secondly, the positive and negative samples are made, and hog features are extracted, respectively;Finally, the extracted hog features are trained by SVM classifier, and the trained target classifier is used to recognize the wheel hub photos under three different lighting conditions. The experimental results show that this method has higher recognition accuracy than the traditional template matching method under different lighting conditions. © 2022 IEEE.

关键词： Support vector machines

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Investigation of the ZnCuInS/ZnS based Quantum-dot Light-Emitting Diodes with different ZnO Film Thickness Prepared by RF Sputtering 3

Investigation of the ZnCuInS/ZnS based Quantum-dot Light-Emi...

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3rd International Conference on electrical and Electronic engineering, ICEEE 2021

作者： Biswas, Mohammad Mostafizur Rahman Hossain, Md. Faruk Okada, Hiroyuki University of Toyama Graduate School of Science and Engineering Department of Electric and Electronics Engineering Toyama Japan Rajshahi University of Engineering and Technology Department of Electrical and Electronics Engineering Rajshahi6100 Bangladesh

ISBN: (纸本)9781665482813

In this research work, the performance of the fabricated Quantum-dot Light-Emitting Diode was measured, where the sputtered oxide layer (ZnO) was used as the carrier transport layer, and the thickness of the films were varied to check the current and power efficiency of the devices. The ZnO film was deposited using RF (radio frequency) sputtering process with mixed working gas and substrate temperature of 150°C. The structure of the film was characterized using FE-SEM and a semiconductor parameter analyzer. Moreover, the current efficiency (CE) of 6.55 cd/A was obtained for the ZnCuInS/ZnS-based QLEDs with yellow emission at 580 nm. © 2021 IEEE.

关键词： Zinc oxide

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Improving Control Theory Education Through Face-to-Face Implementation of a Mobile Robotics Methodology

Improving Control Theory Education Through Face-to-Face Impl...

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2024 Brazilian Symposium on Robotics (SBR), and 2024 Workshop on Robotics in Education (WRE)

作者： M. A. Pastrana William Humberto Cuéllar Sánchez Jose Mendoza-Peñaloza M. S. Santana Daniel M. Muñoz Department of Mechanical Engineering Mechatronics Graduate Program University of Federal District UDF Brasilia DF Brazil Faculty of Gama Electronics Engineering Undergraduate Program University of Brasilia Brasilia DF Brazil

ISBN: (数字)9798350391084

ISBN: (纸本)9798350391091

Advances in information and communication technologies have significantly transformed engineering education. Virtual laboratories are increasingly adopted to enhance student interaction with control system simulations. The improved visualization and interaction capabilities of modern computers offer a more organic way to teach theoretical foundations. This paper describes the implementation of a methodology for teaching control theory that until now was entirely online in a face-to-face environment at the University of the Federal District in Brasilia, Brazil. This methodology utilizes virtual laboratories with CoppeliaSim, MATLAB, and the EVA mobile robot to teach control theory focused on single-input, single-output (SISO) systems for mobile robot tracking and obstacle avoidance applications. The results of the face-to-face implementation are compared to those of the fully online methodology, revealing that in-person teaching significantly enhances the quality of instruction.

关键词： Visualization Mechatronics Educational robots SISO Education Laboratories Software Control theory Mobile robots MATLAB

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Application of Artificial Neural Network Method for Forecasting Weekly Electricity Load Based on Daily Pattern Classification

Application of Artificial Neural Network Method for Forecast...

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Computer System, Information Technology, and electrical engineering (COSITE), International Conference on

作者： Husni Ramzi Adriman Ira Devi Sara Rio Syahputra Graduate program of Electrical Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh Aceh Department of Electrical and Computer Engineering Faculty of Engineering Universitas Syiah Kuala Banda Aceh Aceh

Accurate weekly electricity load prediction is of utmost importance for electricity providers to ensure uninterrupted power supply to customers. This study applies an Artificial Neural Network (ANN) to achieve precise weekly electricity load prediction. The dataset used for the ANN model consists of three months’ worth of data, including daily workload profiles, holiday work profiles, temperature, and humidity. For model training, 90% of the data is utilized with the Levenberg-Marquardt algorithm, while the remaining 10% is used for testing. The Mean Average Percentage Error (MAPE) is employed as the error metric. Based on the test results, the weekly load prediction error rate using ANN is determined to be 1.78% based on the MAPE value.

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Evaluation of Improved MobileNetV3-YOLO Models for IoT Devices by Fuzzy Multi-Criteria Decision-Making

Evaluation of Improved MobileNetV3-YOLO Models for IoT Devic...

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International Conference on Computational Intelligence and Applications (ICCIA)

作者： Shiyan Du Jiacheng Li Masato Noto Field of Electrical Electronics and Information Engineering Graduate School of Engineering Kanagawa University Yokohama Japan Department of Applied Systems and Mathematics Kanagawa University Yokohama Japan

ISBN: (数字)9798350352214

ISBN: (纸本)9798350352221

Fire detection is crucial in natural disaster prevention, but the limited computational resources of Internet of Things (IoT) devices impose strict requirements for lightweight and efficient models. This study aims to evaluate and compare the performance of various object detection models for fire detection to optimize model selection in resource-constrained environments. We selected the YOLOv8 series, YOLOv10 series, and our improved MobileNetV3-YOLOv8n and MobileNetV3-YOLOv10n models for evaluation. The results demonstrate that the MobileNetV3-YOLOv8n model achieves the best overall performance, followed by the YOLOv8n and MobileNetV3-YOLOv10n models. Sensitivity analysis confirms the stability of these results under minor variations in metric weights, particularly within the top three rankings. On the basis of these findings, we provide specific model selection recommendations for IoT devices with varying computational capabilities.

关键词： Performance evaluation Analytical models Uncertainty Sensitivity analysis Computational modeling Object detection Analytic hierarchy process Hardware Computational efficiency Internet of Things

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Past, Present and Future of Automated Mammographic Density Measurement for Breast Cancer Risk Prediction 4

Past, Present and Future of Automated Mammographic Density M...

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4th International Conference on Intelligent Circuits and Systems, ICICS 2022

作者： Pawar, Shivaji D. Joshi, Pratibha T. Savalkar, Vishwayogita A. Sharma, Kamal Kr. Sapate, Suhas G. Department of Computer Science and Engineering Lovely Professional University Jalandhar India SIES Graduate School of Technology India School of Electronics and Electrical Engineering Lovely Professional University Jalandhar India Ashta India

Mammography is one of the essential screening technologies which is helpful to save the lives of women against breast cancer. Prediction of breast cancer from mammograms is not reached on its optimal level;hence there is a constant enhancement in clinical applications for mammographic breast density measurement. Optimal results in breast density measurement can be helpful to provide better care for women who have dense breasts. The sensitivity of digital mammograms reduces significantly in case dense breast, which may lead further to hide the cancerous lesions and may be converted into high stage breast cancer. Many research innovations and clinical applications are developed to support radiologists for the second opinion and predict breast cancer risk in advance. But still, there is an unsolved research question: which one is "dense breast"and which screening modularity is suitable for the dense breast to avoid the risk of breast cancer. Hence, currently, radiologists measure mammographic breast density with the help of BI-RADS classification, which is subjective. The basic inclination of this paper is to provide an overview of different clinical applications used for breast density measurement in the past and present with their potential technologies, advantages, disadvantages and current status of all various clinical applications in the market and provides thoughts on the future of automated mammographic breast density measurement. © Published under licence by IOP Publishing Ltd.

关键词： Mammography

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