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Directional Coherence Factor for Volumetric Ultrasound Imaging with Matrix Arrays

IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 2025年第6期72卷 817-827页

作者： Wu, Xiaochuan Lee, Wei-Ning The University of Hong Kong Department of Electrical and Electronic Engineering Hong Kong The University of Hong Kong Department of Electrical and Electronic Engineering and Biomedical Engineering Programme Hong Kong

Matrix arrays with small apertures limit spatial and contrast resolutions of volumetric ultrasound imaging. Coherence-based beamformers are prevalent for side lobe suppression and resolution improvement. While the spatial coherence of a matrix array is fundamentally a 2D function, conventional coherence factor (CF) methods neglect the directional variation of an M × N matrix array when calculating volumetric coherence. We hereby propose a projectionbased directional coherence factor (DCF) to exploit the 2D nature of volumetric coherence function. Instead of computing the coherent and incoherent summations across the entire 2D aperture, DCF projects aperture data onto azimuthal, elevational, diagonal, and antidiagonal directions and subsequently calculates the coherence factors for each direction separately. The orthogonal coherence pairs, i.e., azimuth and elevation, diagonal and anti-diagonal, are multiplied to obtain DCFRC and DCFDiag, respectively. The Jaccard similarity of the DCFRC and DCFDiag is used to derive the final DCF to weigh the reconstructed images. We evaluated the performance of DCF beamforming in point-target simulations, multi-purpose phantom experiments, and in vivo muscle imaging, and compared it to delay-and-sum (DAS) and CF beamformers. Our DCF achieved side lobe reduction throughout the entire volume compared to conventional CF. Moreover, diagonal weighting significantly improved, on average, the azimuthal resolution by 41.3% vs. DAS and 7.35% vs. CF as well as the elevational resolution by 40.4% vs. DAS and 38.7% vs. CF. Our proposed DCF offers a practical solution for resolution and contrast enhancement of volumetric imaging in 2D matrix array configurations. © 1986-2012 IEEE.

关键词： Ultrasonic imaging

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A Simulation Study of Initiation of Ferroresonant Modes of a Single-Phase Transformer 1

A Simulation Study of Initiation of Ferroresonant Modes of a...

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1st IEEE International Conference on Advanced Power engineering and Energy, APEE 2024

作者： Ang, Swee Peng Ja'afar, Saiful Bahri Hj Md Yeo, Kenneth Siok Kiam Muhamad, Nor Asiah Binti Law, Kah Haw Dani, Muhammad Norfauzi Universiti Teknoogi Brunei Electrical and Electronic Engineering Programme Area Bandar Seri Begawan Brunei

ISBN: (纸本)9798350360936

This paper presents a study that simulates the initiation of various ferroresonant modes in a single-phase transformer. The research explores how transformer parameters change, employing a hysteresis core model that is adjusted across a wide range of grading and shunt capacitances. The adjustment process is influenced by the degree of core saturation. The study indicates that transformers with substantial core loss are effective in suppressing ferroresonance, suggesting this as a viable method for mitigating the occurrence of the ferroresonance phenomenon. © 2024 IEEE.

关键词： Capacitor bank

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Camera-Based Misalignment Detection and Hardware Validation for EV Wireless Charging Systems 1

Camera-Based Misalignment Detection and Hardware Validation ...

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1st International Conference on Advances in Computer Science, electrical, electronics, and Communication Technologies, CE2CT 2025

作者： Sai, A Midhun Katyan, Yash Chauhan, Satrudhan Kumar Pandi, V. Ravikumar Sathyan, Soumya Sulthan, Sheik Mohammed Amrita Vishwa Vidyapeetham Department of Electrical and Electronics Engineering Amritapuri India Universiti Teknologi Brunei Electrical and Electronic Engineering Programme Area Faculty of Engineering Gadong ABE1410 Brunei

ISBN: (纸本)9798331518578

This paper addresses misalignment issues in wireless EV charging, which most of the time results in a non-ideal alignment of the vehicle with the charging pad, thus introducing inefficiencies in power transfer. A careful analysis conducts a detailed study regarding the effects of misalignment on coil voltage, current, and power using a distance-dependent prototype. Real-time positional differences are identified and analyzed using an AI-based alignment correction module implemented with OpenCV, which provides precise measurements of misalignment along the x and y axes. These insights help optimize alignment to enhance system efficiency. Experimental results demonstrate that even small improvements in alignment significantly boost power transfer efficiency, emphasizing the importance of accurate positioning. Validating the potential of the prototype in improving charging efficiency under varying alignment conditions makes the research findings sensible. © 2025 IEEE.

关键词： Wireless charging

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Prediction of Ferroresonant Modes using Artificial Neural Network (ANN)

Prediction of Ferroresonant Modes using Artificial Neural Ne...

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2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

作者： Bini, Muhammad Anas Bin Haji Ang, Swee Peng Dani, Muhammad Norfauzi Law, Kah Haw Muhamad, Nor Asiah Binti Petra, Rafidah Sec Mashibah Sdn Bhd Bandar Seri Begawan Brunei Universiti Teknologi Brunei Electrical and Electronic Engineering Programme Area Bandar Seri Begawan Brunei Universiti Teknoogi Brunei Electrical and Electronic Engineering Programme Area Bandar Seri Begawan Brunei

ISBN: (纸本)9798350395075

In this paper, an investigation into the unpredictability at the onset of ferroresonant modes, attributed to its nonlinear characteristic, is conducted using Artificial Neural Network (ANN). The accuracy performance of the neural network for the training target dataset is evaluated using the regression plot 'with R (training) = 0.9997. The regression plot for the prediction accuracy of the sample dataset on the onset of ferroresonant modes is R (target) = 0.97765, which is considered accurate when predicting outside the range of the target data set of capacitance. © 2024 IEEE.

关键词： Artificial Neural Network Artificial Neuron Network Capacitance Ferroresonance Nonlinear Quasi-Periodic Mode Subharmonic Mode Transformer

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Energy Consumption at Universiti Teknologi Brunei - A Strategy to Reduce

Energy Consumption at Universiti Teknologi Brunei - A Strate...

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2024 IEEE Sustainable Power and Energy Conference, iSPEC 2024

作者： Masri, Hj Mohd Khairul Ja'afar Hj Ang, Swee Peng Dani, Muhammad Norfauzi Universiti Teknologi Brunei Civil Engineering Programme Area Bandar Seri Begawan Brunei Universiti Teknoogi Brunei Electrical and Electronic Engineering Programme Area Bandar Seri Begawan Brunei

ISBN: (纸本)9798350395075

This paper addresses the substantial energy consumption challenges at Universiti Teknologi Brunei (UTB), emphasizing the impact on both the environment and the economy. The proposed strategy aims to address this by focusing on behavioral change and active design strategies in alignment with Brunei Vision 2035 and national sustainability goals, inculcating a culture of energy conservation. Three alternative strategies were thoroughly considered and evaluated based on political support, economics, effectiveness, efficiency, and sustainability. The proposed approach offers a viable solution to solve energy consumption challenges at UTB. By leveraging on technological advancements and fostering changes in behavior, UTB can significantly reduce its energy footprint, contribute to national goals and promote a sustainable future. © 2024 IEEE.

关键词： Sustainable development goals

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Design, Implementation, and Analysis of Solar Photovoltaic System Efficiency with Cooling System and Mechanical Tracking 2nd

Design, Implementation, and Analysis of Solar Photovoltaic S...

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2nd International Conference on Power, Energy, Control, Signals and Systems, IPECS 2022

作者： Shahbirin, Ak Arif Shahmi Bin Pg Hj bin Rosli, Mohammad Sallehin Ang, S.P. Sulthan, Sheik Mohammed Dani, Muhammad Norfauzi Electrical and Electronic Engineering Programme Area Universiti Teknologi Brunei Bandar Seri Begawan Brunei

ISBN: (纸本)9789819909148

The power generation of the solar photovoltaic system depends on the environmental conditions, particularly the intensity of light and the temperature of light falling on the panel. Controlling the temperature of the PV panel and tracking the sun helps to improve the yields of solar PV system. Efficiency improvement of solar PV system using an air-cooling system and mechanical tracking is presented and discussed in this paper. The proposed model is implemented and tested for different combinations with and without the cooling system and the tracking system. The results and performance improvement of PV system are presented and analyzed. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Data acquisition

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Global attention-based LSTM for noisy power quality disturbance classification

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International Journal of Systems, Control and Communications 2022年第1期14卷 22-39页

作者： Chiam, Dar Hung Lim, King Hann Law, Kah Haw Department of Electrical and Computer Engineering Curtin University Malaysia Miri Sarawak98009 Malaysia Electrical and Electronic Engineering Programme Area Universiti Teknologi Brunei Gadong Brunei

An increased dependency of digital control systems in the modern electrical network demand for a better quality of power signal. The occurrence of power quality disturbances (PQDs) in the network reduces the lifespan of power semiconductors and solid states switching devices. Global attention-based long short-term memory (LSTM) network is proposed to perform automatic time-series PQD detection and classification. Attention-based LSTM helps improve the noise immunity to extract salient features from noisy signal for PQD classification. The aim of this article is to analyse the performance of proposed attention-based LSTM under different noise conditions. Addictive white Gaussian noise is added to synthetic PQDs in different signal-to-noise ratio. These random generated noises are used to train and test the performance of proposed method, as well compared towards generic LSTM model. This work also shows the sensitivity of proposed method towards unknown noises that is not seen by the model during training phase. Copyright © 2023 Inderscience Enterprises Ltd.

关键词： Long short-term memory

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Comparative Analysis of 51-level Hybrid Multilevel Inverter and 57-level Switched-capacitor Boost Multilevel Inverter

Comparative Analysis of 51-level Hybrid Multilevel Inverter ...

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2023 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS 2023

作者： Law, Kah Haw Jefry, Nur Atiqah Binti Ang, Swee Peng Sia, Yew Wei Meraj, Sheikh Tanzim Sulthan, Sheik Mohammed Universiti Teknologi Brunei Electrical and Electronic Engineering Programme Area Bandar Seri Begawan Brunei Curtin University Malaysia Department of Electrical and Computer Engineering Miri98000 Malaysia Universiti Teknologi PETRONAS Department of Electrical and Electronic Engineering Perak Seri Iskandar Malaysia

ISBN: (纸本)9798350321302

The invention of hybrid multilevel inverters (HMI) and switched-capacitor boost multilevel inverters (SCBMI) has revolutionized power electronic systems by enabling the generation of extremely high AC voltage-level using asymmetrical DC configurations. This paper presents the comparison of the 51-level HMI and 57-level SCBMI topologies in terms of the total number of components and the total harmonic distortion (THD) across different modulation indices (i.e., 0.2, 0.4, 0.6, 0.8, and 1). In addition, the effective switching frequency and the fundamental frequency component of the AC voltage waveforms were also compared. Both the presented inverter topologies were driven by the nearest level control (NLC) modulation technique under one resistive-inductive RL loading condition. MATLAB Simulink simulation studies are utilized to validate the theoretical study of the differences between the topologies. © 2023 IEEE.

关键词： Level control

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Computation-Efficient Model Predictive Control of a Multilevel Current Source Converter 49

Computation-Efficient Model Predictive Control of a Multilev...

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49th Annual Conference of the IEEE Industrial electronics Society, IECON 2023

作者： Chen, Muyu Yuan, Zhige Ghias, Amer M. Y. M. Nicholas, Vun Chan Hua School of Electrical and Electronic Engineering Collab. Initiative Interdisciplinary Graduate Programme Nanyang Technological University Singapore School of Electrical and Electronic Engineering Nanyang Technological University Singapore School of Computer Science and Engineering Nanyang Technological University Singapore

ISBN: (纸本)9798350331820

This paper presents a modified finite control set model predictive control (FCS-MPC) that can significantly reduce computation time and maintain good quality of output voltage. The switching states of a three-phase five-level current source converter (5L-CSC) are sorted according to the corresponding output converter current level. The influences of every switching state on the converter inductor current are analyzed. Then the optimal switching state can be anchored based on the converter current level that minimizes the cost function and converter inductor current conditions. The proposed method eliminates the need for the discrete-time model establishment for the converter. It avoids the ergodic search through all switching states, easing the controller's computation burden. Besides, this algorithm achieves multiple control goals without assigning different weighting factors to various control objectives. The simulated output voltage total harmonics distortion (THD), the inductor current ripple, and the execution time of the modified model predictive control and traditional model predictive control are compared to validate the effectiveness of the proposed algorithm. © 2023 IEEE.

关键词： Model predictive control

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Conceptual Database Framework for Multicriteria Decision of the Donations Logistics and Disasters Relief in Smart Environments

Conceptual Database Framework for Multicriteria Decision of ...

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2023 IEEE International Conference on Communications, Information, electronic and Energy Systems, CIEES 2023

作者： Akdogan, Kutay Akdogan, Volkan İskenderun Technical University Logistics Programme Hatay Turkey İskenderun Technical University Dept. of Electrical Electronic Engineering Hatay Turkey

ISBN: (纸本)9798350336917

In earthquakes where large-scale destructions occur, there are problems in water and electricity distribution for a period of time. It is also known that even if mains water distribution is provided, water consumption is not reliable due to the destruction experienced. Especially for people who do not leave the earthquake zone for various reasons right after the earthquake, finding water and food is an important problem in the first days. In order to alleviate this problem, it would be a logical approach to keep a certain amount of aid parcels in earthquake zone settlements. However, in this case, the perishable nature of food and beverage items appears as an obstacle. In this study, both post-earthquake relief efforts and poverty aid efforts were combined through the preparation of aid boxes and the evaluation of the expiration dates of the materials and a conceptual framework that covers both poverty and disaster relief is proposed. A simulation study was conducted to illustrate the operability of the model. © 2023 IEEE.

关键词： Earthquakes

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