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12th IEEE Conference on Systems, Process and Control, ICSPC 2024

作者： Li, Brandon Kah Wei Jasser, Muhammed Basheer Issa, Bayan Ajibade, Samuel-Soma M. Chua, Hui Na Wong, Richard T.K. Hamzah, Muzaffar Sunway University No. 5 Jalan Universiti School of Engineering and Technology Department of Computing and Information Systems Selangor Darul Ehsan Bandar Sunway47500 Malaysia School of Engineering and Technology Selangor Darul Ehsan Bandar Sunway47500 Malaysia University of Aleppo Faculty of Informatics Engineering Syria Istanbul Ticaret University Department of Computer Engineering Istanbul Turkey Universiti Malaysia Sabah Faculty of Computing and Informatics Sabah Kota Kinabalu88450 Malaysia

ISBN: (纸本)9798350391398

Satellite images that are publicly available on the internet such as Google Maps are mostly low-quality and blurry which is not very useful for research or decision-making due to the lack of details. Recently image upscaling has been increasing in popularity to address several real-world problems where one approach is using Convolutional Neural Networks (CNNs). However, CNNs have difficulty in restoring fine details and this has led to the use of Generative adversarial networks (GANs) for image scaling. In this paper, three GAN models are trained which are Enhanced Super-Resolution Generative Adversarial Networks (Real-ESRGAN), Image Restoration Using Swin Transformer (SwinIR-Medium), and Dual Aggregation Transformer (DAT-2). The models are evaluated with well-known image metrics to determine each model's effectiveness in upscaling low-resolution satellite images. The results show that all models can reconstruct the image to some degree where the best out of the three is DAT-2. Further fine-tuning of the best model by changing the loss functions has shown improvements in structural integrity for the upscaled image. © 2024 IEEE.

关键词： Generative adversarial networks

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Improved Barnacles Mating Optimizer for Loss Minimization Problem in Optimal Reactive Power Dispatch 13

Improved Barnacles Mating Optimizer for Loss Minimization Pr...

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13th IEEE Symposium on Computer Applications and Industrial Electronics, ISCAIE 2023

作者： Sulaiman, Mohd Herwan Mustaffa, Zuriani Aliman, Omar Saari, Mohd Mawardi Universiti Malaysia Pahang Faculty of Electrical & Electronics Engineering Technology Pahang Pekan26600 Malaysia Universiti Malaysia Pahang Faculty of Computing Pahang Pekan26600 Malaysia

ISBN: (纸本)9798350347319

The solution of Optimal Reactive Power Dispatch (ORPD) can be treated as one of the sub-Optimal Power Flow (OPF) problems where the loss minimization is one of the objective functions to be solved. In this paper, an improvement of recent algorithm namely Improved Barnacles Mating optimizer (IBMO) is proposed to determine the best combination of control variables of power system's components such as generator bus voltages, injected MVAR devices and transformer ratios so that the total transmission loss can be minimized. To assess the performance of IBMO in loss minimization of ORPD, IEEE 57-bus system will be used. The performance of IBMO will be compared with original BMO and Moth-Flame optimizer (MFO) to show the effectiveness of proposed improvement in solving the ORPD problem. © 2023 IEEE.

关键词： Reactive power

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An Overview of Advanced Gate Driver Concepts for SiC Semiconductors 36

An Overview of Advanced Gate Driver Concepts for SiC Semicon...

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36th International Conference on Electrical Drives and Power Electronics, EDPE 2023

作者： Ivanis, Tomislav Kovacic, Marinko University of Zagreb Faculty of Electrical Engineering and Computing Department of Electric Machines Drives and Automation Unska 3 Zagreb10000 Croatia

ISBN: (纸本)9798350322750

Silicon carbide (SiC) power transistors have been steadily gaining popularity in power electronics applications as they have improved properties over silicon based devices, namely silicon MOSFETs and IGBTs. However, because of very high switching speed which results in lower losses, in general application their use is often a concern because of electromagnetic interference (EMI). In order to fully utilise the potential of SiC based devices, a careful design of power stage, commutation loop and gate drive is needed. Because of this reason, this paper presents a review of existing gate drive methods for performance improvement of SiC devices. A special emphasis is given to the gate drive concepts, as it is an important element for the further advancement of SiC-based converters. With improved switching, specifically active gate driving techniques a compromise between EMI and switching losses can be achieved. © 2023 IEEE.

关键词： Silicon carbide

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Application of Artificial Intelligence in Healthcare Systems: A Scientometric Analysis

Application of Artificial Intelligence in Healthcare Systems...

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2024 International Conference on Science, engineering and Business for Driving Sustainable Development Goals, SEB4SDG 2024

作者： Ajibade, Samuel-Soma M. Lee, Angela Siew Hoong Jasser, Muhammed Basheer Akinola, Tomiwa Faith Sunway University Dept of Computing and Information Systems Selangor Malaysia Istanbul Ticaret Univ Dept of Comp. Engineering Turkey Sunway University School of Engineering and Technology Department of Computing and Information Systems Selangor Malaysia University of Ibadan Faculty of Public Health Department of Health Promotion Nigeria

ISBN: (纸本)9798350358155

This bibliometric study examines the worldwide progression of machine learning applications in medical and healthcare research between 2010 and 2023. A large dataset of published articles pertaining to machine learning applications in the medical and healthcare sectors is mined for useful information in this study. The data extraction procedure involves retrieving pertinent information from primary sources such as journals, books, and conference proceedings. Subsequently, the retrieved data is subjected to analysis to discern the patterns and tendencies in the use of machine learning in medical and healthcare research. A total of 1,220 publications were found in the Scopus database over the past 14 years. In addition, the study demonstrated that most AIHS research has concentrated on artificial intelligence applications to address a wide range of problems, including patient data security and chronic medical difficulties (such as cardiovascular disorders). Policymakers, healthcare practitioners, and researchers around the world may find this study's conclusions helpful. Emerging ethical concerns, integration, and real-world uses in smart healthcare systems, and the Internet of Things (IoT), could be the focus of future research. © 2024 IEEE.

关键词： artificial intelligence bibliometric analysis healthcare systems machine learning medical research

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Effect of an inquiry-based teaching sequence on secondary school students’ understanding of wave optics

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Physical Review Physics Education Research 2024年第1期20卷 010156-010156页

作者： Maja Planinic Katarina Jelicic Karolina Matejak Cvenic Ana Susac Lana Ivanjek Department of Physics Faculty of Science Department of Applied Physics Faculty of Electrical Engineering and Computing School of Education

Wave optics is a mandatory part of Croatian secondary school physics curriculum for students in the final year of secondary school (age 18–19). Many physics education research studies have shown that it is a difficult physics topic for both university and secondary school students. An inquiry-based teaching sequence on wave optics, designed for eight 45-min teaching periods, was developed by the authors. The sequence included four investigative students’ experiments on the topics of interference, diffraction, and polarization of light, as well as several teacher demonstrations. The experimental group included six classes of students from six different Croatian urban secondary schools, who underwent the teaching intervention with the new inquiry-based sequence on wave optics, whereas the control group consisted of six classes from the same schools, taught in a predominantly lecturing way. Both groups were post-tested with the same instrument, the Conceptual Survey on Wave Optics (CSWO), to evaluate the research hypothesis that the new sequence might improve students’ conceptual understanding better than the traditional teaching. The results of the experimental and control groups were analyzed and compared using the Rasch analysis. The results show that the experimental group outperformed the control group in four out of five conceptual areas probed by the CSWO, suggesting that the new inquiry-based teaching sequence may contribute to stronger development of secondary school students’ conceptual understanding of wave optics, especially concerning typical wave optics patterns, reasoning from experiments, and explaining basic wave optics phenomena. A questionnaire on attitudes toward the teaching intervention was administered to students and it was found that students generally liked the inquiry-based teaching intervention and expressed positive attitudes to interactive, experimental, and collaborative aspects of physics teaching. The results are very promising, but the

关键词： Concepts & principles Instructional strategies Scientific reasoning & problem solving

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Intelligent Medication Compliance System for Patients Using IoT 7

Intelligent Medication Compliance System for Patients Using ...

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7th International Conference on Information and Computer Technologies, ICICT 2024

作者： Alex, Suja A. Ranjbarzadeh, Ramin Vaz, Gabriel Caumo De Oliveira, Gabriel Gomes Alves, Angela Maria St. Xavier's Catholic College Of Engineering Department Of Information Technology Chunkankadai India Dublin City University School Of Computing Faculty Of Engineering And Computing Ireland State University Of Campinas Department Of Communication Campinas Brazil Cti - Renato Archer Poli.TIC Campinas Brazil

ISBN: (纸本)9798350385625

Medication adherence is a major problem in the healthcare sector, particularly for adults with disease, because failure to adhere to medication has a major impact on the adult's health since the treatment of any disease includes the long-term consumption of medicines. Despite being useful in the fight against illness, these drugs' full effects are unrealized because over 50% of individuals do not take medicines as directed. Major causes of non-compliance with medicine are lack of patient education and fear of consuming the medicine for a long period. These factors need to be considered during the treatment process without adverse effects. Hence, smart medication adherence monitoring is necessary for adults with disease. This paper proposed a solution based on the Internet of Things (IoT) to monitor the patient's medication adherence. © 2024 IEEE.

关键词： Internet of things

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Impact of "COVID-19 Pandemic" on Children Online Education: A Review and Bibliometric Analysis 4th

Impact of "COVID-19 Pandemic" on Children Online Education: ...

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4th International Conference on computing, Communications, and Cyber-Security, IC4S 2022

作者： Sawant, Rhea Wagle, Shivali Amit Harikrishnan, R. Srideviponmalar, P. Pune India Department of Computational Intelligence School of Computing Faculty of Engineering Technology SRM Institute of Science and Technology Chennai India

ISBN: (纸本)9789819914784

The global "pandemic" of 2020, "COVID-19," left us all enclosed within our homes for over a year, with 3 to 4 waves adding up to a total of over six million deaths, forcing us to learn to operate from home. The elderly ditched their walks in the park, the adults realized to work and network from home, and the children quit going out to play at school. The school where they learned not only academically but also experienced holistic development. Adults have the patience and the maturity to understand the need to stay indoors to avoid a fatal viral infection. Still, children aged 2–5 years were compelled to remain home without correctly understanding "why." This paper is a bibliometric survey of these children’s challenges in the last two years. It analyzes the research by the geographical locations they belong to, domains, influential authors, organizations, and funding agencies. The material was obtained from the data from 2020 to 2022 from extensive Scopus databases. "Bibliometric analysis" is referred to as the analytical statistics of content that is widely published as articles, papers presented in renowned conferences, and reviews for a better understanding of the impact that the particular publication has had in the research domain all over the world. Further, for visualization analysis, freely available tools like "GPS Visualizer" are used alongside "Gephi," "VOS viewer," "ScienceScape," and word cloud as well. The visualization enables an easier comprehension of holistic perspectives. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： COVID-19

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Improving Biometric Security Using PulsePrint: Real-Time Defense Against Fingerprint Spoofing 2

Improving Biometric Security Using PulsePrint: Real-Time Def...

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2nd IEEE International Conference on Networking and Communications, ICNWC 2024

作者： Vigneshwaran, P. Maranco, M. Ivaturi, Kashyapa Abhiram Takur, Purab Acharya University Department of Computer Science and Engineering Karakul Bukhara Uzbekistan SRM Institute of Science and Technology School of Computing Faculty of Engineering and Technology Department of Networking and Communications Chengalpattu Kattankulathur603203 India

ISBN: (纸本)9798350365269

Biometric authentication systems have become increasingly popular due to their convenience and perceived security benefits. However, traditional biometric modalities such as fingerprint recognition are vulnerable to spoofing attacks, where fake fingerprints can be used to deceive the system. In this paper, we propose PulsePrint, a novel biometric authentication solution that enhances security by incorporating real-time pulse detection alongside fingerprint recognition. By leveraging the unique pulsatile nature of blood flow in the fingertip, PulsePrint adds an additional layer of authentication, making it significantly more difficult for attackers to spoof fingerprints. We present the design and implementation of the PulsePrint system, detailing the integration of pulse detection algorithms with existing fingerprint recognition technologies. Furthermore, we evaluate the performance of PulsePrint through extensive experimentation, including testing against various spoofing techniques and benchmarking against conventional fingerprint recognition systems. Our results demonstrate that PulsePrint offers robust protection against fingerprint spoofing attacks while maintaining user convenience and real-time authentication speed. Overall, PulsePrint represents a promising advancement in biometric security, offering enhanced protection for applications requiring reliable and secure authentication. © 2024 IEEE.

关键词： Authentication

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Hardware-in-the-Loop System of the Autonomous Municipal Cleaning Vehicle 4

Hardware-in-the-Loop System of the Autonomous Municipal Clea...

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4th International Conference on Electrical, Communication and Computer engineering, ICECCE 2023

作者： Peti, Marijana Milijaš, Robert Stuhne, Dario Vasiljević, Goran Kovačić, Zdenko Mader, Marko Faculty of El. Engineering and Computing University of Zagreb Zagreb Croatia RASCO d.o.o. Kalinovac Croatia

ISBN: (纸本)9798350369694

Autonomous municipal cleaning vehicles consist of a number of subsystems, and the most important for autonomy are the driving subsystem, the perception subsystem, and the cleaning subsystem. To prepare control algorithms for the real vehicle, all three subsystems must be functional. Simulation environments that simulate the driving subsystem already exist. The perception subsystem can be simulated to some extent, but its preparation can also be done by previously recorded information from non-autonomous vehicles. The control of cleaning subsystem is not easy to simulate. For this reason, in this paper, we present a hardware-in-the-loop (HIL) system for controlling the autonomous municipal cleaning vehicle, combining the rig of the real cleaning system with the simulation of vehicle motion and perception, which is the main contribution of this paper. We present the developed HIL system and the results of several experiments during the testing of the system. © 2023 IEEE.

关键词： Roads and streets

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Collaborative Task Allocation Problem in Laboratory Equipment Maintenance in Universities 6

Collaborative Task Allocation Problem in Laboratory Equipmen...

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6th International Conference on Machine Learning and Intelligent Systems, MLIS 2024

作者： Hu, Huiying Dolah, Natrah Abdullah Ahmad, Nor Diana College of Computing Informatics and Mathematics Universiti Teknologi MARA Selangor Shah Alam Malaysia Faculty of Information Engineering Jiujiang Vocational University Jiangxi Jiujiang China

ISBN: (纸本)9781643685533

Given the increasing demand for laboratory equipment management in universities, especially the increasingly complex equipment management, the traditional equipment management system can no longer meet the management needs of universities. Therefore, it is very important to optimize the university's equipment management system. The allocation of laboratory equipment maintenance tasks in the laboratory equipment management system of universities is a very critical link. Its effective solution is crucial to ensure the normal operation of laboratory equipment and the reasonable allocation of maintenance resources. This study proposes a double coding adaptive genetic algorithm to optimize the allocation of laboratory equipment maintenance tasks in universities to achieve the optimal allocation of resources and minimize maintenance costs. The work allocation scheme is iteratively optimized by a dual-coding strategy and definition of adaptive crossover and mutation operators. The experimental results of this study show that the algorithm can find the approximate optimal task allocation scheme within a reasonable time, which improves the efficiency and accuracy of laboratory equipment maintenance. In addition, compared with the traditional allocation method, the algorithm in this paper shows stronger flexibility and robustness when dealing with large-scale complex problems. © 2024 The Authors.

关键词： Resource allocation

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