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2022 International Conference on Future Trends in Smart Communities, ICFTSC 2022

作者： Abdullah, Talal A.A. Zahid, Mohd Soperi Bin Mohd Tang, Tong Boon Ali, Waleed Nasser, Maged Computer & Information Sciences Universiti Teknologi PETRONAS Perak Malaysia Electrical & Electronic Engineering Universiti Teknologi PETRONAS Perak Malaysia King Abdulaziz University Faculty of Computing and Information Technology Information Technology Department Perak Malaysia School of Computer Sciences Universiti Sains Malaysia Penang Malaysia

ISBN: (纸本)9798350334548

In this work, we proposed a hybrid deep learning model that (CNN-GRU) combines a One-Dimensional Neural Network (1D CNN) and a Gated Recurrent Unit (GRU) to classify four types of cardiac arrhythmia and applied LIME to provide explanations for its predictions. LIME is a well-known local explanation method that can explain any machine learning model by simulating its behaviours to generate explanations. However, LIME can only explain tabular, text, and image datasets. Therefore, we proposed a visual presentation of LIME on signal dataset by applying a heatmap to highlight important areas on the heartbeat signals. Moreover, we propose an effective method to segment heartbeats from ECG records, ensuring that all key features are extracted correctly, such as QRS Complex, P Wave, and T Wave. The proposed hybrid model was trained using ECG lead II from the MIT-BIH dataset and evaluated based on accuracy, precision, recall, f1 score, and AUC-ROC performance matrix. To highlight the proposed model's validity, we compare it against the standalone CNN and GRU models and prove its superiority in terms of accuracy and ROC. © 2022 IEEE.

关键词： Electrocardiograms

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A Square Patch Partially Reflective Surface for Improving the Antenna Gain Characteristic of Low-Cost Dual Polarized Microstrip Antenna

A Square Patch Partially Reflective Surface for Improving th...

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2022 Research, Invention, and Innovation Congress: Innovative Electricals and electronics, RI2C 2022

作者： Chudpooti, Sukanya Sangpet, Patchadaporn Chudpooti, Nonchanutt Sathitanon, Nontakorn Somjit, Nutapong Akkaraekthalin, Prayoot King Mongkut's University of Technology North Bangkok Facutly of Appied Science Department of Industrial Physics and Medical Instrumentation Bangkok Thailand Faculty of Engineering King Mongkut's University of Technology North Bangkok Department of Electrical and Computer Engineering Bangkok Thailand King Mongkut's University of Technology North Bangkok Faculty of Applied Science Department of Computer and Information Sciences Bangkok Thailand University of Leeds School of Electronic and Electrical Engineering Leeds United Kingdom

ISBN: (数字)9781665473248

ISBN: (纸本)9781665473248

This paper presents an improvement gain of a dual-polarized microstrip patch antenna by using the partially reflective surface (PRS). The PRS is designed from a 10 × 10 array patches structure, which is patterned on a 0.8-mm FR-4 substrate. A-dual-port fed by two SMA connectors, which is selected to use as the source of an experiment. The square metallic patch is used to design the PRS layer. The dimension of the square patch is 5 mm × 5 mm. The length of the square patch is varied from 3.0mm to 4.5 mm by step of 0.5 mm to investigate the reflection coefficients, e.g., magnitude response and phase response. Based on the simulated results, a 4.5-mm square patch provides the highest reflection coefficient of 0.53. To prove the design concept, the size of a square patch of 4.5 mm is selected to fabricate and measure the radiation pattern. At an operating frequency of 3.5 GHz, the maximum gain at the zero degrees is increased from 1.2 dBi to 4.96 dBi when compared without and with PRS. © 2022 IEEE.

关键词： Reflection

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Design of an electronically Controlled Biquadratic Filter Using Commercial ICs

Design of an Electronically Controlled Biquadratic Filter Us...

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13th International Electrical engineering Congress, iEECON 2025

作者： Ritnathikul, Somkid Duangmalai, Danupat Kaewdang, Khanittha Kwuanphet, Settasuk Chalermpong, Thanawat Pitaksuttayaprot, Koson Phetchabun Rajabhat University Faculty of Agricultural and IndustrialTechnology Department of Computer Engineering Phetchabun6700 Thailand Ubon Ratchathani University Faculty of Engineering Department of Electrical and Electronic Engineering Ubon Ratchathani34190 Thailand Nakhon Phanom University Faculty of Industrial Technology Department of Electrical Engineering Nakhon Phanom48000 Thailand Phetchabun Rajabhat University Faculty of Agricultural and Industrial Technology Department of Electronics and Automation Systems Engineering Phetchabun6700 Thailand

ISBN: (纸本)9798331543952

This paper presents an electronically controlled biquadratic filter designed for precise frequency selection in applications such as audio processing, telecommunications, and cochlear implants. The design utilizes AD830, AD844, and LM13700 integrated circuits, facilitating high-pass, band-pass, and low-pass responses with improved stability and real-time tunability. PSPICE simulations validate the filter's adaptability and performance, demonstrating its effectiveness in dynamic environments and its suitability for high-frequency applications requiring flexible frequency control. The results indicate a calculated pole frequency of 2.23 MHz, while simulations yield a slightly lower value of 2.0 MHz, affirming the design's practical viability and alignment with theoretical expectations. © 2025 IEEE.

关键词： LSI circuits

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A T-Type converter-based Electric Vehicle Charger with Active Power Filter Functionality 48

A T-Type converter-based Electric Vehicle Charger with Activ...

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48th Annual Conference of the IEEE Industrial electronics Society, IECON 2022

作者： Bayhan, Sertac Komurcugil, Hasan Hamad Bin Khalifa University Qatar Environment and Energy Research Institute Doha Qatar Gazi University Technology Faculty Department of Electrical-Electronic Engineering Ankara06500 Turkey Eastern Mediterranean University Department of Computer Engineering Famagusta Turkey

ISBN: (数字)9781665480253

ISBN: (纸本)9781665480253

An electric vehicle (EV) charging infrastructure is a backbone in electrifying the transport sector and can offer a wide range of functionalities to the utility grid if equipped with the right hardware and software. This study presents a T-type converter-based EV charger with active power filter (APF) functionality. The considered power topology in this study consists of a three-phase T-type converter (AC/DC power stage) and a dual active bridge converter (DC/DC power stage), which regulates the power flow between the grid and EV battery. The presented hybrid control algorithm allows the EV charger to operate either in EV charger mode or APF mode. A simulation model is developed in PSIM environment and the performance of the proposed control algorithm is tested in charging mode and APF mode. © 2022 IEEE.

关键词： Charging (batteries)

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A novel fault-tolerant scheduling approach for collaborative workflows in an edge-IoT environment

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Digital Communications and Networks 2022年第6期8卷 911-922页

作者： Tingyan Long Yong Ma Lei Wu Yunni Xia Ning Jiang Jianqi Li Xiaodong Fu Xiangmi You Bo Zhang College of Computer Science Chongqing UniversityChongqing400030China School of Computer and Information Engineering Jiangxi Normal UniversityJiangxi330022China School of Mathematical Sciences University of Electronic Science and Technology of ChinaChengdu611731China Mashang Consumer Finance Co. Ltd.(MSCF)Chongqing401129China Global Energy Interconnection Research Institute Co.Ltd. Beijing102209China Faculty of Information Engineering and Automation Kunming University of Science and TechnologyYunnan650500China CISDI Research&Development CO. LTDChongqing401122China

As a newly emerging computing paradigm, edge computing shows great capability in supporting and boosting 5G and Internet-of-Things (IoT) oriented applications, e.g., scientific workflows with low-latency, elastic, and on-demand provisioning of computational resources. However, the geographically distributed IoT resources are usually interconnected with each other through unreliable communications and ever-changing contexts, which brings in strong heterogeneity, potential vulnerability, and instability of computing infrastructures at different levels. It thus remains a challenge to enforce high fault-tolerance of edge-IoT scientific computing task flows, especially when the supporting computing infrastructures are deployed in a collaborative, distributed, and dynamic environment that is prone to faults and failures. This work proposes a novel fault-tolerant scheduling approach for edge-IoT collaborative workflows. The proposed approach first conducts a dependency-based task allocation analysis, then leverages a Primary-Backup (PB) strategy for tolerating task failures that occur at edge nodes, and finally designs a deep Q-learning algorithm for identifying the near-optimal workflow task scheduling scheme. We conduct extensive simulative case studies on multiple randomly-generated workflow and real-world edge-IoT server position datasets. Results clearly suggest that our proposed method outperforms the state-of-the-art competitors in terms of task completion ratio, server active time, and resource utilization.

关键词： Edge computing Fault tolerance DQN algorithm Primary-backup model

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Multiband highly sensitive metamaterial-based THz absorber for edible oil adulteration sensing

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Optik 2024年 307卷

作者： Anowarul Haque, S.M. Sohayeb Hossain, Md Alqahtani, Abdulrahman Islam, Mohammad Tariqul Moniruzzaman, Md. Samsuzzaman, Md. Dept. of Electrical Electronic and Systems Engineering Faculty of Engineering and Built Environment Universiti Kebangsaan Malaysia Selangor Bangi43600 Malaysia Dept. of Electrical and Electronic Engineering Mymensingh Engineering College Bangladesh Department of Biomedical Technology College of Applied Medical Sciences in Al-Kharj Prince Sattam Bin Ab-dulaziz University Al-Kharj11942 Saudi Arabia Department of Medical Equipment Technology College of Applied Medical Science Majmaah University Majmaah City11952 Saudi Arabia Dept. of Electrical and Electronic Engineering College of Engineering and Technology International University of Business Agriculture and Technology Dhaka Uttara1230 Bangladesh Dept. of Computer and Communication Engineering Faculty of Computer Science and Engineering Patuakhali Science and Technology University Bangladesh Faculty of Graduate Studies Daffodil International University Daffodil Smart City Birulia Dhaka Savar1216 Bangladesh

A terahertz (THz) wave technology is very appealing for applications in detection in biomedicine, biological spectroscopy, material characterization, detection, imaging, sensing, and other convenient applications. Metamaterials (MMs) are artificial structures that have structures in a regular periodic arrangement and don't exist in nature. By utilizing a proposed terahertz metamaterial absorber, a broad spectrum of adulterated lubricants can be detected. It is an efficient detection process that enables the development of a THz detection approach by making use of the metamaterial as a sensor. The proposed terahertz absorber is analyzed and optimized using the CST Microwave Studio 2019 software. The article proposed a multiband THz metamaterial absorber with a unit size of 70 µm. According to the demonstrated results, we can achieve five narrow absorption peaks with perfect absorption within the frequency range between (0.2–4.2) Terahertz. Also, the result shows that, the average absorbance of 99.07% at the resonance frequencies of 0.56, 1.42, 2.676, 3.14, and 3.89 THz. The E (electric) and H (magnetic)-field distributions on the resonator at different resonance frequencies were also analyzed as well as. The recommended metamaterial absorber has a good sensing capability at different resonant frequencies, with refractive index sensitivities of 80 GHz/RIU, 240 GHz/RIU, 480 GHz/RIU, 480 GHz/RIU, and 520 GHz/RIU obtained by modifying the refractive index of the sample holder or the analytic layer, respectively. As a result, the proposed detector has a high refractive index sensitivity, high Q-factor, and high FOM, making it suitable for detecting oil adulteration. © 2024 Elsevier GmbH

关键词： Metamaterials

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Artificial Neural Network-Based Inverter Control and MPPT for Enhanced Performance of Hybrid Microgrids With PV and Battery Storage

Artificial Neural Network-Based Inverter Control and MPPT fo...

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International Renewable Energy Congress

作者： Z. Rajab M. Elrashid M. Elhashane J. Gómez-Romero A. Khalil Seliman A F. Mohamed Electrical and Electronic Department Faculty if Engineering Benghazi University. Department of Computer Science and Artificial Intelligence University of Granada. DTU Engineering Technology Technical University of Denmark Denmark Electrical Department Faculty of Engineering Omar Al-Mukhtar University Libya Authority of Natural Science Research and Technology Tripoli Libya

ISBN: (数字)9798331516772

ISBN: (纸本)9798331516789

Today's power system network has become more complex, with greater responsibilities and challenges in providing a secure, reliable, and high-quality energy supply to communities. A smaller entity of the electrical network, known as a Microgrid (MG), has become more popular in recent times to enhance the reliability and security of energy supply during any energy crisis in the utility network. Microgrids (MG) can provide clean energy through renewable resources such as photovoltaic (PV) systems, wind, and energy storage, offering an effective solution for power supply in both remote and urban residential communities. To ensure the stable operation of a standalone microgrid based on a photovoltaic system, it is essential to implement various mechanisms and control strategies simultaneously for optimal efficiency. This paper introduces a complete model of a hybrid microgrid consisting of a PV source, an Artificial Neural Network (ANN)-based Maximum Power Point Tracking (MPPT) system, a storage unit, a DC to AC converter with an ANN controller, and both DC and AC loads. The performance of the controller under various ambient conditions and load variations is tested. The ANN controller demonstrates good performance in different situations.

关键词： Maximum power point trackers Photovoltaic systems Wind Wind energy Power supplies Microgrids Artificial neural networks Power system reliability Reliability Security

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Robust Data Transmission Rate Allocation to Improve Energy Efficiency in 6G Networks

Robust Data Transmission Rate Allocation to Improve Energy E...

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2021 IEEE Globecom Workshops, GC Wkshps 2021

作者： Pourkabirian, Azadeh Anisi, Mohammad Hossein Islamic Azad University Faculty of Computer and Information Technology Engineering Qazvin Branch Qazvin Iran University of Essex School of Computer Science and Electronic Engineering Colchester United Kingdom

ISBN: (纸本)9781665423908

The future sixth-generation (6G) network is expected to support both sensing and communications. Since the sensing performance will highly rely on the residual battery of smart devices, energy efficiency is one of the main concerns in the design of 6G. Motivated by these facts, we design an energy efficient data transmission rate allocation approach for 6G networks. To have a more realistic deployment, we assume that perfect channel state information is not available. Imperfect channel state information (CSI) might waste energy sources or degrade quality of service (QoS). Thus, we apply the maximum likelihood estimation (MLE) method to estimate the true channel characteristics for a given set of observations. The proposed approach is robust against unknown channel statistics and allows adapting UEs transmission rate to the channel quality which reduce energy consumption and guarantees QoS. Both numerical analysis and simulation results confirm the effectiveness of the proposed work in terms of energy efficiency and throughput maximization. © 2021 IEEE.

关键词： Energy efficiency

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Machine Learning based Beamwidth Adaptation for mmWave Vehicular Communications 16

Machine Learning based Beamwidth Adaptation for mmWave Vehic...

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16th IEEE Malaysia International Conference on Communication, MICC 2023

作者： Manic, Setinder Foh, Chuan Heng Kose, Abdulkadir Lee, Haeyoung Leow, Chee Yen Chatzimisios, Periklis Moessner, Klaus Suthaputchakun, Chakkaphong University of Surrey 5GIC & 6GIC Guildford United Kingdom Abdullah Gul University Department of Computer Engineering Kayseri Turkey School of Physics Engineering and Computer Science University of Hertfordshire Hatfield United Kingdom Universiti Teknologi Malaysia Wireless Communication Centre Johor Malaysia International Hellenic University Department of Information and Electronic Systems Engineering Thessaloniki Greece Technical University Faculty of Electronics and Information Technology Chemnitz Germany Bangkok University Electrical and Computer Engineering Department Khlong Nueng Thailand

ISBN: (纸本)9798350304343

The incorporation of mmWave technology in vehicular networks has unlocked a realm of possibilities, propelling the advancement of autonomous vehicles, enhancing interconnectedness, and facilitating communication for intelligent transportation systems (ITS). Despite these strides in connectivity, challenges such as high path-loss have arisen, impacting existing beam management procedures. This work aims to address this issue by improving beam management techniques, specifically focusing on enhancing the service time between vehicles and base stations through adaptive mmWave beamwidth adjustments, accomplished using a Contextual Multi-Armed Bandit Algorithm. By leveraging various conditions to train the ML agent of the Contextual Multi-Armed Bandit Algorithm, it seeks to learn about vehicle mobility profiles and optimize the usage of different antenna beamwidth settings to maximize seamless connection time. The extensive simulation results showcase the effectiveness of an adaptive beamwidth for mobility profiles, extending the connection time a vehicle experiences with a base station when compared to the existing strategies. © 2023 IEEE.

关键词： Base stations

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Scenario-Oriented Multi-Cut Generalized Benders Decomposition-Based Distributed OPF for AC/DC Hybrid Grids

Scenario-Oriented Multi-Cut Generalized Benders Decompositio...

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IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe)

作者： Hai-Xiao Li Hakan Ergun Dirk Van Hertem Aleksandra Lekic Faculty of Electrical Engineering Mathematics & Computer Science Delft University of Technology Delft The Netherlands School of Electrical and Electronic Engineering Chongqing University of Technology Chongqing China Electa Department of Electrical Engineering KU Leuven Leuven Belgium Etch-EnergyVille Genk

ISBN: (数字)9798350390421

ISBN: (纸本)9798350390438

In this paper, a distributed optimal power flow (OPF) for the AC/DC hybrid grid, composed of the AC grid, renewable energy system (RES), and voltage source converter (VSC)-based multi-terminal DC (MTDC) grid, is presented. Firstly, we apply a series of linear approximations/convex relaxations to construct a mixed-integer convex AC/DC OPF model. To address the uncertainties from RESs, we then illustrate scenario-oriented decision making for the constructed AC/DC OPF model. Additionally, we verify that considering all possible scenarios can be replaced by a small set of extreme scenarios if the OPF model is (mixed-integer) convex. Furthermore, we develop a scenario-oriented multi-cut generalized Benders decomposition to achieve more efficient distributed problem solving for the constructed AC/DC OPF model. Finally, numerical results are provided to validate the effectiveness of our constructed AC/DC OPF model and our developed distributed problem-solving approach.

关键词： Renewable energy sources Uncertainty Decision making Europe Hybrid power systems Numerical models Smart grids Problem-solving Power conversion Load flow

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