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Optical Technology and Measurement for Industrial Applications Conference 2023

作者： Hii, K.U. Su, H.T. Faculty of Engineering Computing and Science Swinburne University of Technology Sarawak Campus Sarawak Kuching93350 Malaysia

ISBN: (纸本)9781510663411

A double-reflection confocal probe technique for surface profiling microscopy is presented. By delivering a small collimated laser beam at an off-axis position into a microscope objective to allow retro-reflection on the first reflected beam from the surface under test, second reflection at the same point of the test surface can be established. The feasibility of this technique is experimental investigated. This approach improves the axial resolution by a factor of two as compared to that of the conventional single-reflection system. Simulation is performed to estimate and evaluate the lateral scanning performance of the double-reflection system. © 2023 SPIE · 0277-786X.

关键词： Probes

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Multimodal attention-driven visual question answering for Malayalam

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Neural computing and Applications 2024年第24期36卷 14691-14708页

作者： Kovath, Abhishek Gopinath Nayyar, Anand Sikha, O.K. Department of Computer Science and Engineering Amrita School of Computing Coimbatore Amrita Vishwa Vidyapeetham Coimbatore India Graduate School Faculty of Information Technology Duy Tan University Da Nang550000 Viet Nam

Visual question answering is a challenging task that necessitates for sophisticated reasoning over the visual elements to provide an accurate answer to a question. Majority of the state-of-the-art VQA models are only applicable to English questions. However, applications such as visual assistance and tourism necessitate the incorporation of multilingual VQA systems. This paper presents an effective deep learning framework for Malayalam visual question answering (MVQA), which can answer a specific natural language question about an image in Malayalam. As there is no available dataset in English–Malayalam VQA, a MVQA dataset was created by translating English question–answer pairs from the visual genome dataset. The paper proposes an attention-driven MVQA model on the developed dataset. The proposed MVQA model uses a deep learning-based co-attention mechanism to jointly learn the attention for images and Malayalam questions. A second-order multimodal factorized high-order pooling is used for multi modal feature fusion. Different VQA models using combinations of classical CNNs and RNNs were experimented on the developed MVQA dataset, and the performance was compared against the proposed attention-driven model. Experimental results show that the proposed attention-driven MVQA model achieves state-of-the-art results as compared to other models for MVQA on the custom Malayalam VQA dataset. © The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature 2024.

关键词： Deep learning

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Tunable luminescence and temperature sensing in Tb3+ mono-doped Mg3Gd2Ge3O12 phosphor with high quantum yield

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Ceramics International 2025年第16期51卷 21913-21921页

作者： Bai, Jinping Zhang, Jinsu Kong, Chunying Zhang, Bingye Cao, Yongze Wang, Yichao Zhang, Xizhen Chen, Baojiu Li, Kang College of Science Dalian Maritime University Liaoning Dalian116026 China Department of Physics Dalian University of Technology Liaoning Dalian116023 China Faculty of Computing Engineering & Science Univeristy of South Wales CF37 1DL United Kingdom

The phosphors of Tb3+ doped Mg3Gd2Ge3O12 were synthesized by a solid-state method. Two groups of emission can be gained, 5D3→7FJ (J = 6,5,4,3,2) and 5D4→7FJ (J = 6,5,4,3), respectively. The color of Mg3Gd2Ge3O12:Tb3+ undergoes a blue-green shift with different concentrations of Tb3+, which is attributed to the cross-relaxation process. The Dexter and Inokuti-Hirayama models are employed to analyze the energy transfer mechanism, rate, and efficiency between Tb3+ ions. The results indicate that the type of energy transfer is primarily dipole-dipole interaction, and the critical distance is 19.57 Å. The maximum energy transfer rate and efficiency are found to be 69.65 % and 98.5 %, respectively. Furthermore, we observed a very interesting phenomenon: as the temperature changes from 303 K to 573 K, the luminescent color of Tb3+ varies, particularly in samples with low doping concentrations, where this change is quite pronounced. This has been rarely reported in previous literature. We conducted a detailed study on the temperature-dependent changes in luminescent color, attributing this phenomenon to the good matching of phonon energy with the energy gap between the 5D3 and 5D4. Moreover, this phenomenon could be applied in fluorescence temperature sensing and thermos-chromic applications with good repeatability via temperature cycling testing. The greatest Sr is 1.1 %K−1 at 495 K of Mg3Gd2Ge3O12:1%Tb3+. The maximum quantum yield can reach 97.91 % in this system. © 2025 Elsevier Ltd and Techna Group S.r.l.

关键词： Phosphors

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A Theoretical Study on the Efficiencies of Black Silicon Photovoltaic Cells in Thermophotovoltaic Applications

A Theoretical Study on the Efficiencies of Black Silicon Pho...

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International Conference on Renewable Energy and E-mobility, ICREEM 2022

作者： Chai, Jasman Y. H. Wong, Basil T. Juodkazis, Saulius Department of Mechanical Engineering Faculty of Engineering Computing and Science School of Engineering Swinburne University of Technology Sarawak Campus Kuching Malaysia Center Swinburne University of Technology Hawthorn Australia

ISBN: (纸本)9789819959457

Silicon photovoltaic cells have been widely used in harvesting solar energy, and research efforts have driven significant improvements in the efficiencies of the photovoltaic cells. However, research on the application of silicon photovoltaic cells in thermophotovoltaic systems is significantly underdeveloped. In this study, a simulation study was conducted to study the performance of a black silicon photovoltaic cell in thermophotovoltaic applications. The photovoltaic cell was paired with two emitters made of different materials: a 1735 K Yb2O3 emitter, and a 1500 K Ta PhC emitter. The results of the simulation showed that when paired with the Yb2O3 emitter and the Ta PhC emitter, the cell efficiency was 1.7% and 0.76% respectively. The low efficiency in both was attributed to the limited amount of energy that is available above the band gap of silicon. The simulation results indicate that the Yb2O3 yielded better efficiency, as the selectivity of the emitter was better compared to the Ta PhC emitter. © Institute of Technology PETRONAS Sdn Bhd (Universiti Teknologi PETRONAS) 2024.

关键词： Waste heat

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Examining the effects of the COVID-19 pandemic on technology-enabled social interactions 35

Examining the effects of the COVID-19 pandemic on technology...

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35th Australian Computer-Human Interaction Conference, OzCHI 2023

作者： Nawaz, Saqib Linden, Tanya Mitchell, Matthew Bhowmik, Jahar Department of Computing Technologies School of Science Computing and Engineering Technologies Swinburne University of Technology Australia School of Computing and Is Faculty of Engineering and It The University of Melbourne Australia Department of Health Science and Biostatistics School of Health Sciences Swinburne University of Technology Australia

ISBN: (纸本)9798400717079

This study investigated the impact of the COVID-19 pandemic on technology-enabled social interactions using the Social Presence Theory (SPT). Cross-sectional data were collected through an online survey, with participation from 515 Australian adults aged 18 years and above. Bivariate and multinomial logistic regression analysis showed that age group differences significantly predicted satisfaction levels with online interactions, with the 18-40 age group being less satisfied than participants aged 41 and over. In addition, face-to-face interaction was highly preferred over online interactions. Socio-demographic factors such as age, gender, and marital status were significantly associated with the type of interaction individuals reported missing the most when they could not interact face-to-face. Most participants reported missing physical and emotional connection when they could not interact face-to-face. The study adds to the existing knowledge about the effects of the COVID-19 pandemic on social interactions, providing insights into both practical paraphernalia and implications for further research. © 2023 ACM.

关键词： COVID-19

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Optimal Placement of Fast Charging Station in Radial Distribution Networks through Particle Swarm Optimization 6

Optimal Placement of Fast Charging Station in Radial Distrib...

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6th IEEE Conference on Energy Conversion, CENCON 2023

作者： Xingye, Wang Nasir, Syed Norazizul Bin Syed Afrouzi, Hadi Nabipour Geach, Chen Rui Mehranzamir, Kamyar Xinyue, Dai Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Bahru Malaysia Swinburne University of Technology Faculty of Engineering Computing and Science Kuching Malaysia University of Nottingham Faculty of Engineering Semenyih Malaysia

ISBN: (纸本)9798350325096

The demand for fossil fuels is steadily increasing, leading to higher carbon emissions and pollution, which contribute to global warming. The adoption of electric vehicles (EV) is growing each year, which necessitates an increase in the number of Fast Charging Stations (FCS) and their efficiency. FCS enables faster charging of EVs, but this also results in increased power loss and lower voltage profiles. This research focuses on strategically integrating 4 different sizes of FCSs in the optimal locations as the effects on the IEEE-33 radial distribution network. Additionally, power losses in the stated network are considered as a decision-making factor to optimize the placement of FCSs. The power flow analysis of the proposed network bus is conducted using the backward-forward sweep method. A particle swarm optimization (PSO) method is used to minimize power loss across the network and identify the optimal placement of FCSs. The results demonstrate that the higher sizes of FCSs, the higher the power loss after the PSO optimization. However, power loss reduction increases from 6.62% to 10.9%, which will further decrease the power loss to around 132kW to 134kW. Besides, the simulated result shows that the best three locations for the four FCSs are bus 2, bus 19, and bus 20. The final location depends on the FCS sizes, with bus 33 chosen for lower sizes and bus 21 selected for sizes beyond 100kW. These findings are significant for informing future FCS layout optimization efforts. © 2023 IEEE.

关键词： Location

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High-Efficiency Asymmetrically Designed Three-Phase Virtual 48-Pulse Power Supply for Electrolytic Hydrogen

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IEEE Transactions on Power Electronics 2025年第8期40卷 10335-10342页

作者： Tian, Hanlei Cui, Haoran Han, Wei Sathik M, Jagabar Liang, Guozhuang Chen, Maolin Mekhilef, Saad Electrical Engineering School of Hebei University of Science and Technology Shijiazhuang050091 China Sustainable Energy and Environment Thrust Guangzhou511453 China The Hong Kong University of Science and Technology Department of Electronic and Computer Engineering Hong Kong Hong Kong SRM Institute of Science and Technology Faculty of Engineering and Technology Kattankulathur603203 India Sichuan University College of Electrical Engineering Chengdu610065 China Swinburne University of Technology School of Science Computing and Engineering Technologies MelbourneVIC3122 Australia

To address the low-voltage, high-current requirements in hydrogen production applications, a virtual 48-pulse three-phase rectifier is proposed, and achieves the equivalent performance of four parallel 12-pulse rectifiers (12-PR). The proposed approach builds upon the conventional 12-PR design and incorporates novel asymmetric current injection units (ACIU). The ACIU is installed on the dc side of the ac-dc converter, generating a specific current at the dc link to modulate and enhance the operating modes of the 12-PR. Consequently, the 12-pulse is extended to 48, resulting in an almost sinusoidal input current with a total harmonic distortion of 3.2% and an output current with a ripple rate of 2.3%, thus significantly improving power quality. Furthermore, the asymmetric design of the current injection units eliminates the need for a phase-shifting transformer. The efficacy of the proposed rectifier for electrolytic hydrogen production is validated using a 2.2-kW experimental prototype. © 1986-2012 IEEE.

关键词： Voltage Hydrogen Rectifiers Production Windings Circuits Inductors Transformers Harmonic analysis Electrochemical processes

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The Application of Virtual Reality Using Kinect Sensor in Biomedical and Healthcare Environment: A Review 1

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4th International Conference on Electronics, Biomedical engineering, and Health Informatics, ICEBEHI 2023

作者： Candra, Henry Yuniati, Umi Chai, Rifai Electrical Engineering Department Faculty of Industrial Technology Universitas Trisakti Jakarta Indonesia School of Science Computing and Engineering Technologies Swinburne University of Technology Melbourne Australia

ISBN: (数字)9789819714636

ISBN: (纸本)9789819714629

Virtual Reality (VR) and the Kinect sensor, as promising tools in biomedical research, offers diverse applications in medical education, rehabilitation, diagnostics, and health research. The problem statement highlights the demand for innovative solutions and introduces VR and Kinect as potential transformative technologies. This review analyzes the importance of these technologies, their contributions, and future potential. It stands out by evaluating various Kinect-based systems in medical settings. By highlighting distinct features, advancements, and limitations, it provides guidance for future research. Relevant literature was gathered from databases such as Google Scholar, IEEE Xplore, and PubMed. The results showcase a wide range of applications, including patient autonomy, stroke rehabilitation, diagnostics, and monitoring. Despite challenges in accurate movement tracking, integration into clinical settings, and limited generalizability of findings due to small sample sizes, VR and Kinect show potential for revolutionizing healthcare delivery and improving patient outcomes. Their adaptability, affordability, and immersive nature of these technologies offer promising avenues for personalized interventions, remote healthcare, training, and enhanced patient engagement. As these technologies evolve, continued research and development are crucial to optimize their impact in shaping the future of healthcare. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Virtual reality

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Predicting Epileptic Seizures with Precision A Comprehensive Study of ML Algorithms 2

Predicting Epileptic Seizures with Precision A Comprehensive...

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2nd IEEE International Conference on Trends in Quantum computing and Emerging Business Technologies, TQCEBT 2024

作者： Ranjani, M. Ramya, G. Divya, G. Deepa, N. Lalitha, B. Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Computing Technologies Chennai India Srm Institute of Science and Technology Faculty of Engineering and Technology Department of Networking and Communications Chennai India Kpr Institute of Engineering and Technology Department of Eee Coimbatore India

ISBN: (数字)9798350384277

ISBN: (纸本)9798350384277

Epilepsy, a complex neurological disorder, poses a significant challenge in the realm of healthcare. Encephalography (EEG) stands as a widely adopted clinical tool for recording the intricate electrical activity within the brain. This research delves into the application of machine learning techniques for the prediction of epileptic seizures using EEG signals obtained from the UCI Machine Learning Repository. Our study presents a comprehensive evaluation of various ML algorithms, including the SVM Classifier, RF Classifier, Gaussian Naive Bayes, K-Nearest Neighbors, and others. Significantly, the Support Vector Classifier and Random Forest Classifier achieved remarkable accuracies of 0.98, suggesting their potential for precise prediction. Meanwhile, Gaussian Naive Bayes and K-Nearest Neighbors demonstrated robust predictive capabilities, with accuracies of 0.96 and 0.93, respectively. This research contributes substantially to the field of epilepsy prediction, shedding light on the effectiveness of diverse machine-learning models for early seizure detection. These findings hold promise for enhancing patient care and improving their quality of life, marking the beginning of an exciting journey towards refined epilepsy management © 2024 IEEE.

关键词： Adversarial machine learning

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Control Strategy of Hybrid PV/ FC/ Battery System For A Malaysian Household Application 6

Control Strategy of Hybrid PV/ FC/ Battery System For A Mala...

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6th IEEE Conference on Energy Conversion, CENCON 2023

作者： Geach, Chen Rui Maherah Binti Hussin, Siti Afrouzi, Hadi Nabipour Mehranzamir, Kamyar Rosmin, Norzanah Binti Binti Md Rasid, Madihah Universiti Teknologi Malaysia Faculty of Electrical Engineering Johor Bahru Malaysia Swinburne University of Technology Faculty of Engineering Computing and Science Kuching Malaysia University of Nottingham Faculty of Engineering Semenyih Malaysia

ISBN: (纸本)9798350325096

The negative impact of fossil fuels has increased the importance of renewable energy, however due to its intermittency, second energy such as fuel cell (FC) is required in many applications. This paper proposes a control strategy of a hybrid PV/ FC/ Battery system for a Malaysian household application by using a combination of PI and switching controllers. Solar radiation and temperature data are based on location in Johor Bahru, Malaysia and the simulation is done using MATLAB Simulink. In this study, the FC is designed as a backup system that operates only when there is no solar radiation and the state of charge (SOC) of the battery is lower than 30%. To evaluate the performance of the proposed control strategy, three different states of SOC have been studied: 30%, 45%, and 100%. In this analysis, the efficiency of the maximum power point tracking (MPPT), boost converter, and bidirectional converter is also being investigated. The result shows that the individual efficiencies of MPPT, PV boost, FC boost and bidirectional converters are 90.38%, 92.33%, 91.35%, and 94.35%, respectively. It can be concluded that the FC works well as a backup generator with overall system efficiency is 71.92%. © 2023 IEEE.

关键词： Controllers

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