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7th International Conference on Vocational Education and electrical engineering, ICVEE 2024

作者： Hidayat, Wahyu Nur Hamdan, Achmad Ichwanto, Muhammad Aris Muslihati Cakir, Gulsun Kurubacak Sari, Rahajeng Kartika Afni, Nur Hisyam, Mochammad Raffi Fadhil Universitas Negeri Malang Faculty of Engineering Department of Electrical Engineering and Informatics Malang Indonesia Universitas Negeri Malang Faculty of Vocational Department of Electronic Systems Engineering Technology Malang Indonesia Universitas Negeri Malang Faculty of Engineering Department of Civil Engineering and Planning Malang Indonesia Universitas Negeri Malang Faculty of Education Science Department of Guidance and Counseling Malang Indonesia Ankara Haci Bayram Veli University College of Communication Department of Journalism Ankara Turkey Smk Negeri 10 Malang Department of Computer Network and Telecommunication Engineering Malang Indonesia

ISBN: (纸本)9798331505103

The role of learning media greatly supports the learning process, increasing motivation and interest in the process. Learning media can also be a place to improve competence optimally through bootcamp training menus and the like with more specific training objectives. The main objective of this study is to develop a gamification-based website to enhance students' preparedness for their Final Competency Test by tackling challenges in comprehending programming absent practical experience. The learning method implemented in this website is case-based learning that integrates dynamic coding activities. The research method uses the Plomp approach with 3 main stages, namely preliminary research, prototyping, and assessment stage. The trial of the gamification website began with media and content validation followed by small group testing and large group testing. Validation by media and material experts led to the execution of small group trials (95.7%) and large group trials (91.7%), producing exceptionally positive outcomes. The results of the small group test with 12 respondents produced a very suitable value with a score of 95.7 and the large group test with 27 respondents produced a score of 9 1. 7 % with very suitable criteria. This indicates that the web-based platform is highly viable for assisting vocational students in acquiring software development skills, enhancing their preparedness for practical IT positions such as software developers and system analysts. Subsequent study involved the incorporation of gamification, such as computer-supported collaborative learning. © 2024 IEEE.

关键词： Software testing

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Review of Energy Requirement and Load Forecasting for A Medium Agro-Based Industrial Settlement: A Case Study of Oke-Agbo and Imota Villages

Review of Energy Requirement and Load Forecasting for A Medi...

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IEEE International Conference on Emerging & Sustainable Technologies for Power & ICT in a Developing Society (NIGERCON)

作者： Oladimeji O. Fasipe Patrick O. Olabisi Augustine O. Folorunso Department of Electrical Electronic and Telecommunication Engineering Bells University of Technology Ota Nigeria

ISBN: (数字)9798331542559

ISBN: (纸本)9798331542566

Initiatives at promoting sustainable economic growth, enhanced competitiveness of home-grown companies, and job creation have been severely hampered by the unpredictable electric power supply. Utility sector decision-makers must predict the future demand for energy with a minimum error percentage using various predictive models with a lower percentage of inaccuracy if they will be able to load-shrink while maintaining the uninterrupted power supply to consumers and to save cost for utility companies. Efforts at forecasting electricity demand rather make use the hybrid approach which combines two or more predictive models to achieve enhanced prediction performances. The performances are compared in terms of Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and Mean Absolute Percentage Error (MAPE). The two communities of Oke-agbo and Imota provided first-hand information about the trend of energy demand and the market analysis of the transformer and other distribution network components will be done. Additionally, information was also acquired with the aid of former Nigeria Electricity Power Authority (NEPA), Power Holdings Company of Nigeria (PHCN), and Ikeja Electric (IE) employees who had extensive knowledge of all the networks in and around the case towns.

关键词： Support vector machines Energy consumption Load forecasting Electricity Computational modeling Companies Predictive models Transformers Stakeholders Load modeling

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High-Bandwidth,Low-Power CMOS Transistor Based CAB for Field programmable Analog Array

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Computers, Materials & Continua 2023年第3期74卷 5885-5900页

作者： Ameen Bin Obadi Alaa El-Din Hussein Samir Salem Al-Bawri Kabir Hossain Abdullah Abdulhameed Muzammil Jusoh Thennarasan Sabapathy Ahmed Jamal Abdullah Al-Gburi Mahmoud A.Albreem Advanced Communication Engineering(ACE) Centre of ExcellenceUniversiti Malaysia Perlis(UniMAP)Faculty of Electronic Engineering TechnologyKangar01000Malaysia Electrical Engineering King Fahd University of Petroleum and MineralsDhahranEastern31261Saudi Arabia Space Science Centre Climate Change InstituteUniversiti Kebangsaan MalaysiaBangi43600Malaysia Department of Electronics&Communication Engineering Faculty of Engineering&PetroleumHadhramout UniversityAl-MukallaHadhramout50512Yemen Faculty of Engineering Norwegian University of Science and Technology(NTNU)GjovikN-2815Norway Faculty of Electronic Engineering Technology Universiti Malaysia Perlis(UniMAP)Kampus Alam UniMAP Pauh PutraArau02600Malaysia Department of General Educational Development Faculty of Science and Information Technology(FSIT)Daffodil International UniversityDhaka1207Bangladesh Department of Electronics and Computer Engineering(FKEKK) Center for Telecommunication Research and Innovation(CeTRI)Universiti Teknikal Malaysia Melaka(UTeM)Durian Tungal76100Malaysia Department of Electrical Engineering University of SharjahSharjah27272United Arab Emirates

This article presents an integrated current mode configurable analog block(CAB)system for field-programmable analog array(FPAA).The proposed architecture is based on the complementary metal-oxide semiconductor(CMOS)transistor level design where MOSFET transistors operating in the saturation region are *** proposed CAB architecture is designed to implement six of thewidely used current mode operations in analog processing systems:addition,subtraction,integration,multiplication,division,and pass *** functionality of the proposed CAB is demonstrated through these six operations,where each operation is chosen based on the user’s selection in the CAB interface *** architecture of the CAB system proposes an optimized way of designing and integrating only three functional cells with the interface circuitry to achieve the six ***,optimized programming and digital tuning circuitry are implemented in the architecture to control and interface with the functional ***,these designed programming and tuning circuitries play an essential role in optimizing the performance of the proposed *** of the proposed CMOS Transistor Based CAB system is carried out using Tanner EDA Tools in 0.35μm standard CMOS *** design uses a±1.5 V power supply and results in maximum 3 dB bandwidth of 34.9 MHz and an approximate size of 0.0537 *** demonstrates the advantages of the design over the current state-of-the-art designs presented for comparison in this ***,the proposed design has a clear aspect of simplicity,low power consumption,and high bandwidth operation,which makes it a suitable candidate for mobile telecommunications applications.

关键词： CMOS field programmable analog array configurable analog block current mode circuit

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Recent Progress οf Tapered Optical Fiber for Biosensing Applications

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Journal of engineering Science and Technology Review 2022年第5期15卷 204-209页

作者： Anbalagan, Thanigai Haroon, Hazura Zain, Huda Adnan Rafis, Hazli Harun, S.W. Center for Telecommunication Research and Innovation Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka Hang Tuah Jaya Durian Tunggal Melaka76100 Malaysia Department of Electrical Engineering University of Malaya Kuala Lumpur50603 Malaysia

The development of reliable, lightweight, and effective sensors is a vital step in effectively monitoring critical parameter changes. This review focuses on the utilization of tapered optical fiber as a material sensing platform. The fundamental concept of the tapered fiber sensor is based on the interaction of strong evanescent waves caused by the fiber's dimensional change. The primary goal of this review is to explore the potential of tapered optical fiber for biosensing applications. A number of tapered optical fiber configurations and operations have been reviewed in order to propose appropriate optical sensor designs for biosensing applications. Hence, this analysis could serve as a benchmark for a more thorough study of biosensing device development. © 2022 School of Science, IHU. All rights reserved.

关键词： Biosensors

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COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPERATURE PREDICTION IN VANADIUM REDOX FLOW BATTERIES

COMPARATIVE PERFORMANCE OF MACHINE LEARNING MODELS FOR TEMPE...

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International Conference on Green Energy, Computing and Intelligent Technology 2024, GEn-CITy 2024

作者： Zhang, Anxiu Juwono, Filbert H. Li, Hongfei Purwanto, Erick Wong, W.K. Liu, Linfeng Telecommunications Engineering Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Electronic Engineering Xi'an Jiaotong-Liverpool University Suzhou China Applied Mathematics Program Xi'an Jiaotong-Liverpool University Suzhou China Department of Computing Xi'an Jiaotong-Liverpool University Suzhou China Department of Electrical and Computer Engineering Curtin University Malaysia Miri Malaysia Sustainable Energy Technology Program Xi'an Jiaotong-Liverpool University Suzhou China

ISBN: (纸本)9781837242689

Vanadium Redox Flow Batteries (VRFB) are promising for large-scale energy storage due to their long life and environmental benefits. Accurate temperature prediction is key to optimizing VRFB performance and longevity. This study compares the performance of four machine learning models, i.e., 1D CNN, Particle Swarm Optimization - Support Vector Regressor (PSO-SVR), Decision Tree (DT), and K-Nearest Neighbors (KNN), using a publicly available dataset. Results show that KNN achieves the best results with test Root Mean Square Error (RMSE) of 0.0424 (average) and test R2 of 0.9746 (average), demonstrating strong predictive accuracy. 1D CNN, however, shows poor generalization. These findings suggest that non-parametric models like KNN and DT are highly effective for VRFB temperature prediction. © The Institution of engineering & Technology 2024.

关键词： machine learning prediction Vanadium redox flow battery

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Dual Side Polished PCF Based Surface Plasmonic Refractive Index Sensor for Detection of Water Pollution 4

Dual Side Polished PCF Based Surface Plasmonic Refractive In...

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4th International Conference on Sustainable Technologies for Industry 4.0, STI 2022

作者： Kamrujjaman, Md. Hossain, Md. Anwar Hoang Hai, Nguyen Ahmed, Feroz Bangladesh University of Business and Technology Department of Electrical and Electronic Engineering Bangladesh Hanoi University of Science and Technology School of Electronics and Telecommunication Viet Nam Independent University of Bangladesh Department of Electrical and Electronic Engineering Bangladesh

ISBN: (纸本)9781665490450

In this work, a photonic crystal fiber (PCF) based surface plasmon resonance (SPR) sensor has been designed for water pollution detection. Using the finite element method (FEM), the performance of a dual-side polished PCF has been investigated and reported. The plasmonic material for this design is a thin silver (Ag) layer deposited outside the PCF framework. In addition, a thin layer of Titanium Oxide (TiO2) was added to protect the silver layer from oxidation. Utilizing the wavelength interrogation method in the sensing range of RI 1.31-1.35, the proposed sensor shows a maximum sensitivity of 3000 nm/RIU at a silver layer thickness of 40 nm. A sensitivity of 2250 nm/RIU was obtained, particularly in the specific value of RI-1.33. Furthermore, a maximum sensitivity of 475 RIU-1 and a maximum sensor resolution of 5.83×10-6 RIU were obtained utilizing the amplitude interrogation method. Since the sensor has a sensing range of 1.31 to 1.35 with high sensitivity, it would be a great option for biosensing, organic chemical sensing, and other analytes detection in that range. © 2022 IEEE.

关键词： Finite element method

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Star shape symmetric engineered meta surface to sense food additives (benzoic acid/copper sulfate) at terahertz spectrum

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Optik 2024年 312卷

作者： Chowdhury, Nazimul Mowla Soliman, Md Mohiuddin Islam, Mohammad Tariqul Alam, Touhidul Soliman, Mohamed S. Department of Electronic and Telecommunication Engineering International Islamic University Chittagong Bangladesh Center for Advanced Electronic and Communication Engineering Department of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment 43600 UKM Bangi Selangor Malaysia 43600 UKM Bangi Selangor Malaysia Department of Electrical Engineering College of Engineering Taif University Taif21944 Saudi Arabia

This research proposed a technique for detecting the sensitivity of benzoic acid (C6H5COOH) and copper sulfate (CuSO4), which is excessively used in foods. The novelty of this work is that it detects the sensitivity of two food additives with the same metasurface. Although it offers the benefits of miniaturization, minimal sample consumption, and cost-efficiency, it is an easier, faster, and nondestructive detection method than other traditional approaches. The proposed design is based on a polyimide substrate with an aluminum resonator that forms a star shape on the substrate. The transmission frequency of the metasurface was determined at 0.91 THz with a transmission coefficient of 36.6 dB. The metasurface sensor is insensitive to polarization and has a large angle of incident. The transmission spectrum shows that the amplitude of the transmission peaks usually changes with variations in the refractive index of the analytes. The proposed sensor effectively detects benzoic acid (C6H5COOH) with a sensitivity of 0.175 THz/RIU and, the sensitivity of the Copper Sulfate (CuSO₄) is 0.225 THz/RIU with the Q factor values of 12 and 10.55 respectively. These sensitivity results and transmission intensities of different analyte thicknesses show that this proposed THz metasurface sensor can be used to detect additives in foods. © 2024 Elsevier GmbH

关键词： Benzoic acid

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Design and Analysis of an Optical Fiber Network for Vehicles Sensing System

Design and Analysis of an Optical Fiber Network for Vehicles...

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electrical and Information Technology (IEIT), International Conference on

作者： Muhammad Athallah Adriansyah Yus Natali Catur Apriono Department of Electrical Engineering Faculty of Engineering Universitas Indonesia Depok Indonesia Telecommunication Engineering Program Faculty of Engineering Telkom University Jakarta Indonesia

ISBN: (数字)9798331516888

ISBN: (纸本)9798331516895

The increasing number of accidents on toll roads, predominantly caused by human error, underscores the critical need for enhanced vehicular safety systems. This research introduces a novel optical fiber network design that utilizes polymer optical fiber (POF) as both a sensor and communication medium to significantly improve the reliability and response time of vehicle safety mechanisms. The system was carefully developed and simulated using OptiSystem software, incorporating key components such as a continuous-wave laser operating at 1310 nm, NRZ encoding, and a Mach-Zehnder modulator, all chosen for their ability to optimize data transmission and minimize signal degradation. Comprehensive simulations were conducted to evaluate the system's performance, focusing on parameters like bit error rate (BER), signal integrity, and response time. The results demonstrate that the proposed design achieves a Q factor of 5.2628, an output power of -14.049 dBm, and a rise time of 0.07 ns. Additionally, the system's power margin of 13.951 dB confirms its robustness and suitability for real-world implementation with the potential to be a viable solution for advancing vehicular safety technologies.

关键词： Q-factor Optical fibers Vehicle safety Optical fiber networks Encoding Time factors Polymers Optical signal processing Power generation Fiber lasers

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Cancer Detection Using Au-Ta2o5 Coated Pcf Based Spr Ri Sensor

SSRN

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SSRN 2024年

作者： Saiduzzaman, A.B.M. Rafi Sarker, Hasan Priyanka, Das Arafat, M.D. Rahman Ahsan, M.D. Habib Khan Sakib, M.D. Ikbal Department of Electronics & Telecommunication Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh Department of Electrical & Electronic Engineering Rajshahi University of Engineering & Technology Rajshahi Bangladesh

With an emphasis on detecting the presence of cancer cells within a RI of 1.25 to 1.40, this paper introduces and quantitatively explores the usage of a straightforward plasmonic sensor based on a photonic crystal fiber (PCF) in the visible to near-infrared range for bio-analyte sensing. Using a finite element method (FEM) mode solver technique under the scattering boundary condition with a perfectly matched layer, the proposed sensor's sensing and guiding properties are studied. Gold (Au), which is chemically nonreactive, and tantalum pentoxide (Ta2O5) are deposited on particular parts of the PCF to ease the challenges and reduce the expense of depositing metal on the whole surface of the PCF. The simulation results reveal that the proposed sensor has the highest amplitude and wavelength sensitivity of 853.52 RIU-1 and 21000 nm/RIU respectively. Additionally, it allows for a maximum figure of merit and sensor resolution of 233.33 RIU-1 and 8×10-6 RIU respectively. However, the sensor's excellent detection capability suggests that it might be utilized to detect a wide variety of chemical substances and biological contaminants. © 2024, The Authors. All rights reserved.

关键词： Diseases

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Multimedia Classification via Tensor Linear Discriminant Analysis

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IEEE Transactions on Broadcasting 2024年第4期70卷 1139-1152页

作者： Chang, Shih-Yu Wu, Hsiao-Chun Yan, Kun Chih-Hao Huang, Scott Wu, Yiyan San Jose State University Department Of Applied Data Science San JoseCA95192 United States Louisiana State University School Of Electrical Engineering And Computer Science Baton RougeLA70803 United States Yuan Ze University Innovation Center For Ai Applications Taoyuan32003 Taiwan Guilin University Of Electronic Technology Guangxi Key Laboratory Of Wireless Wideband Communication And Signal Processing Department Of Information And Telecommunication Guilin541004 China National Tsing Hua University Department Of Electrical Engineering Hsinchu300 Taiwan Western University Department Of Electrical And Computer Engineering LondonONN6A 3K7 Canada

Linear discriminant analysis (LDA) is a well-known feature-extraction technique for data analytic and pattern classification. As the dimensionality of multimedia data has increased in this big era, it is often to characterize data by tensors. Over the past two decades, researchers have thus explored to extend LDA to the general tensor space, especially in two common ways: LDA of tensors using tensor decomposition methods (by conversion of tensors to matrices) and LDA of tensors built upon the T-product. However, both of the aforementioned approaches have restrictions thereby. A critical problem about how to carry out LDA of arbitrary scatter tensors based on the Einstein product still remains unsolved by the existing methods. Therefore, we propose a novel tensor LDA (a.k.a. TLDA) approach, which can carry out the LDA of arbitrary-dimensional scatter-tensors without any need of tensor decomposition. Besides, for reducing the computation time, we also design a parallel paradigm to execute our proposed TLDA in this work. Numerical experiments conducted over real multimedia data demonstrate the efficacy of our proposed new TLDA in terms of classification accuracy. Moreover, the comparison of the classification accuracies, computational-complexities, and memory-complexities of our proposed novel TLDA scheme and other existing tensor-based LDA methods is made. By leveraging TLDA for high-dimensional feature extraction, segmentation, and user-item interaction data processing, future multimedia recommendation systems can facilitate more accurate, engaging, and satisfactory user experience over the Internet. © 1963-12012 IEEE.

关键词： Tensors

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