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National Conference on Radio Science (NSRC)

作者： Ahmed H. Saadawy Aly F. Hissam Eman Badr Omar M. Fahmy Biomedical Sciences Program Zewail City of Science and Technology Giza Egypt Faculty of Computers and Artificial Intelligence Cairo University Giza Egypt Omar Mamdouh Fahmy Electrical Engineering Dept. Badr University in Cairo Giza Egypt

Cancer remains a leading cause of death worldwide, with its heterogeneous and patient-specific nature complicating treatment. Immunotherapy, especially immune checkpoint blockades (ICB), shows promising potential by reactivating the immune system to detect and destroy cancer cells. However, their effectiveness largely depends on the patient’s clinical and molecular characteristics, making them unsuitable for everyone. This highlights the importance of developing predictive and interpretable models that could distinguish potential responders from non-responders. This study aims to utilize gene expression data to predict patients’ responses to ICB and identify key genes whose expression is associated with treatment outcome using probabilistic Bayesian networks (BNs). To address the high-dimensional nature of gene expression data, we propose and compare the use of machine learning-based feature selection (FS) and clustering by weighted gene co-expression network analysis (WGCNA). To our knowledge, this is the first study to apply BNs along with FS and WGCNA dimensionality reduction techniques to tackle ICB response using transcriptomic data. We achieved a maximal classification accuracy of 75% and identified eight genes and two gene clusters directly influencing ICB response. These results may offer more biological insights and mechanisms underlying ICB response. The proposed pipeline will contribute to guiding treatment decisions, minimizing harmful side effects, and reducing the financial costs associated with ineffective treatments.

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Optimizing Photovoltaic Power Production in Partial Shading Conditions Using Dandelion Optimizer (DO)-Based MPPT Method

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Processes 2023年第8期11卷

作者： Sajid, Injila Gautam, Ayushi Sarwar, Adil Tariq, Mohd Liu, Hwa-Dong Ahmad, Shafiq Lin, Chang-Hua Sayed, Abdelaty Edrees Department of Electrical Engineering ZHCET Aligarh Muslim University Aligarh202002 India Department of Electrical and Computer Engineering Florida International University MiamiFL33174 United States Undergraduate Program of Vehicle and Energy Engineering National Taiwan Normal University Taipei106 Taiwan Industrial Engineering Department College of Engineering King Saud University Riyadh11421 Saudi Arabia Department of Electrical Engineering National Taiwan University of Science and Technology Taipei106 Taiwan

This research proposes the dandelion optimizer (DO), a bioinspired stochastic optimization technique, as a solution for achieving maximum power point tracking (MPPT) in photovoltaic (PV) arrays under partial shading (PS) conditions. In such scenarios, the overall power output of the PV array is adversely affected, with shaded cells generating less power and consuming power themselves, resulting in reduced efficiency and local hotspots. While bypass diodes can be employed to mitigate these effects by redirecting current around shaded cells, they may cause multiple peaks, making MPPT challenging. Therefore, metaheuristic algorithms are suggested to effectively optimize power output and handle multiple peaks. The DO algorithm draws inspiration from the long-distance movement of a dandelion seed, which relies on the force of the wind. By utilizing this bioinspired approach, the DO algorithm can successfully capture the maximum power point (MPP) under different partial shading scenarios, where traditional MPPT algorithms often struggle. An essential contribution of this research lies in the examination of the performance of the proposed algorithm through simulation and real-time hardware-in-the-loop (HIL) results. Comparing the DO algorithm with the state-of-the-art algorithms, including particle swarm optimization (PSO) and cuckoo search (CS), the DO algorithm outperforms them in terms of power tracking efficiency, tracking duration, and the maximum power tracked. Based on the real-time HIL results, the DO algorithm achieves the highest average efficiency at 99.60%, surpassing CS at 96.46% and PSO at 94.74%. These findings demonstrate the effectiveness of the DO algorithm in enhancing the performance of MPPT in PV arrays, particularly in challenging partial shading conditions. © 2023 by the authors.

关键词： Efficiency

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A Study on Giant Magnetostrictive Actuator for Interior Sound Control System of the Ultra-Compact Mobility: Fundamental Consideration on Formation of the Giant Magnetostrictive Phases Depending on Heat Treatment Condition 27

A Study on Giant Magnetostrictive Actuator for Interior Soun...

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27th International Conference on electrical Machines and Systems, ICEMS 2024

作者： Kato, Taro Naganuma, Ryusei Bando, Koki Sawada, Kentaro Wenbao, Wu Kobayashi, Ikkei Kuroda, Jumpei Uchino, Daigo Ogawa, Kazuki Ikeda, Keigo Endo, Ayato Kato, Hideaki Narita, Takayoshi Furui, Mitusaki Tokyo University of Technology Department of Mechanical Engineering 1404-1 Katakura Hachioji-shi Tokyo192-0982 Japan Sustainable Engineering Program Graduate School of Engineering Tokyo University of Technology 1404-1 Katakura Hachioji-shi Tokyo192-0982 Japan Tokai University Kitakaname 4-1-1 Kanagawa Hiratsuka-shi259-1292 Japan Tokai University Kitakaname 4-1-1 Kanagawa Hiratsuka-shi259-1292 Japan Numazu College Department of Mechanical Engineering Ohoka 3600 Shizuoka Numazu-shi410-0022 Japan Aichi University of Technology Department of Electronic Robotics 50-2 Manori Nishisako-machi Aichi Gamagori-shi443-0047 Japan Hokkaido University of Science Department of Mechanical Engineering 7-Jo 15-4-1 Maeda Teine Hokkaido Sapporo006-8585 Japan Fukuoka Institute of Technology Department of Electrical Engineering Wajiro Higashi 3-30-1 Higashi-ku Fukuoka Fukuoka-shi811-0295 Japan Tokai University Department of Mechanical System Engineering Kitakaname 4-1-1 Kanagawa Hiratsuka-shi259-1292 Japan

ISBN: (纸本)9784886864406

An active noise control system using giant magnetostrictive actuator has been proposed as a countermeasure for interior noise of the ultra-compact mobilities, which is a new transportation tools. In this paper, as basic research toward the development of the proposed giant magnetostrictive actuator for active noise control, we conduct experiments on the material properties when terbium, dysprosium, and iron powder, which make up the giant magnetostrictive material, are mixed and the heat treatment conditions are changed. In this study, the heat treatment temperature was varied from 800°C to 1100°C in 100°C incrementsbased on the equilibrium state temperature of each material, and the heat treatment time was set in 30-minute increments from 1 hour to 3 hours. As a result, TbFe2 was confirmed after heat treatment at an electric furnace temperature of 1000°C for 3 hours, although its strength was insufficient. © 2024 The Institute of electrical Engineers of Japan.

关键词： Active noise control

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Electronic and Electrochemical Properties of Novel Cathode Material NaFeSO4OH by First-Principle Calculations

Electronic and Electrochemical Properties of Novel Cathode M...

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

作者： Idrus, Aqeel Badrudin, Fadhlul Wafi Shaffee, Siti Nur Amira Hassan, Oskar Hasdinor Sazman, Fatin Nabilah Zaki, Nur Hamizah Mohd Zolkiffly, Mohd Zaid Ali, Ab Malik Marwan Ahmad, Shahrul Izwan Baharom, Rahimi Taib, Mohamad Fariz Mohamad Zu Azhan Yahya, Muhd Faculty of Defence Science and Technology Universiti Pertahanan Nasional Malaysia Kuala Lumpur57000 Malaysia Centre for Defence Foundation Studies Universiti Pertahanan Nasional Malaysia Kuala Lumpur57000 Malaysia Renewables Technology Program PETRONAS Group Research and Technology Jln Ayer Hitam Kawasan Institusi Bangi Selangor Bandar Baru Bangi43000 Malaysia Faculty of Arts and Design Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Institute of Science Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia Faculty of Electrical Engineering Universiti Teknologi MARA Selangor Shah Alam40450 Malaysia

ISBN: (纸本)9789819959457

We reported first-principle calculations on the structural and electronic properties of layered sodium iron(II) hydroxysulfate, NaFeSO4OH as a potential cathode for sodium-ion battery. Layered NaFeSO4OH was virtually derived from the experimentally reported layered LiFeSO4OH by replacing Li with Na. A redox voltage of 3.00 V was computed along with the theoretical capacity of 140 mAh/g, yielding an energy density of 420 Wh/kg. The electronic band gap is predicted to be similar to the Li counterpart of the material. This material has some valuable positive attributes, including high capacity and energy density, sturdy host structure as well as being made up of abundant elements. © Institute of technology PETRONAS Sdn Bhd (Universiti Teknologi PETRONAS) 2024.

关键词： Electronic properties

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Spectral Extremal Connectivity of Two-State Seizure Brain Waves

arXiv

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arXiv 2025年

作者： Talento, Mara Sherlin D. Richards, Jordan Pinto-Orellana, Marco Huser, Raphael Ombao, Hernando C. Statistics Program Computer Electrical and Mathematical Science & Engineering Division King Abdullah University of Science and Technology 23955 - 6900 Saudi Arabia Neuro-AI Laboratory Computer Electrical and Mathematical Science & Engineering Division King Abdullah University of Science and Technology 23955 - 6900 Saudi Arabia School of Mathematics Maxwell Institute for Mathematical Sciences University of Edinburgh EdinburghEH9 3FD United Kingdom Department of Biomedical Engineering University of California Irvine92697 United States

Coherence analysis plays a vital role in the study of functional brain connectivity. However, coherence captures only linear spectral associations, and thus can produce misleading findings when ignoring variations of connectivity in the tails of the distribution. This limitation becomes important when investigating extreme neural events that are characterized by large signal amplitudes. The focus of this paper is to examine connectivity in the tails of the distribution, as this reveals salient information that may be overlooked by standard methods. We develop a novel notion of spectral tail association of periodograms to study connectivity in the network of electroencephalogram (EEG) signals of seizure-prone neonates. We further develop a novel non-stationary extremal dependence model for multivariate time series that captures differences in extremal dependence during different brain phases, namely burst-suppression and non-burst-suppression. One advantage of our proposed approach is its ability to identify tail connectivity at key frequency bands that could be associated with outbursts of energy which may lead to seizures. We discuss these novel scientific findings alongside a comparison of the extremal behavior of brain signals for epileptic and non-epileptic patients. © 2025, CC BY.

关键词： Electroencephalography

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Evaluating the Inclusion of Images with Artifacts in Medical Image Databases of Mammography for Machine Learning

Evaluating the Inclusion of Images with Artifacts in Medical...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： HeráClio Almeida Da Costa Edmar Candeia Gurjão Vitor Trindade Rocha Ribeiro Postgraduate Program in Health Science and Technology State University of Paraíba Campina Grande PB Brazil Department of Electrical Engineering Federal University of Campina Grande Campina Grande PB Brazil

The use of the federated learning technique has grown in the medical field of diagnostic imaging, with a large number of publications and applications in clinical practice. However, the lack of knowledge of the training data by the central server and the clients among themselves raises concerns about the local composition of the databases, raising questions about the occurrence of image artifacts and their impact on the final performance of the global model. Using databases with a selection of areas of interest for mammograms distributed in an unbalanced way to 03 clients, simulations of mammography image artifacts were proceeded, with their insertion in the databases on different scenarios. An open access convolutional neural network model (EfficientNetB7) was adapted to classify the images regarding the presence and suspicion of microcalcifications according to the BI-RADS system. By measuring the F1-score, the performance of the neural network was verified without the presence of artifacts, after the insertion of artifacts and after the exclusion of images with artifacts. The results showed an improvement in the performance of the central model when opting to keep the images with artifact in the training databases.

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Immediate Effects of Vergence Exercises Using Automatic Dual Rotational Risley Prisms on Accommodative Lag and Facility

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Ophthalmology and Therapy 2023年第6期12卷 3361-3372页

作者： Huang, Shuan-Yu Su, Hui-Rong Hu, Yun-Shao Lee, Chi-Hung Tsai, Ming-Shan Yeh, Shang-Min Chen, Ya-Yu Tsai, Tzu-Hsun Department of Optometry Central Taiwan University of Science and Technology Taichung 402 Taiwan Ph.D. Program of Electrical and Communications Engineering Feng Chia University Taichung 407 Taiwan Department of Optometry Chung Shan Medical University Taichung 402 Taiwan Department of Electrical Engineering Feng Chia University Taichung 407 Taiwan Department of Electrophysics National Chiayi University Chiayi 600 Taiwan Department of Optometry Da-Yeh University Changhua 515 Taiwan Department of Ophthalmology National Taiwan University Hospital Hsin-Chu Branch Hsin-Chu Taiwan Department of Ophthalmology National Taiwan University Hospital Taipei City 100225 Taiwan

Introduction: This study evaluated novel automatic dual rotational Risley prisms (ADRRPs) as a vergence exercise tool for patients with myopia to improve accommodative lag and accommodative facility. Methods: Participants with myopia aged 20–24 years were recruited. After vergence exercises with prisms (treatment group) or plano lenses (control group) using ADRRPs for 10 min, measurements were taken using an open-field autorefractor (Grand Seiko WAM-5500) at viewing distances of 0.4 m and 6.0 m. We measured accommodative facility using a ± 2.00 D accommodative flipper. Results: A total of 56 participants (treatment group, 39;control group, 17) performed vergence exercises using ADRRPs. Participants in the treatment group showed improvements in accommodative lag at a 0.4 m viewing distance, with measurements of 0.57 D (right eye;OD) and 0.53 D (left eye;OS) and 0.21 D (OD) and 0.27 D (OS) before and after the exercises, respectively (p < 0.001). Over-refractions using an open-field autorefractor with spherical equivalent contact lenses at a 6.0 m viewing distance were − 0.01 ± 0.30 D (OD) and 0.03 ± 0.34 D (OS) and 0.15 ± 0.32 D (OD) and 0.19 ± 0.28 D (OS) before and after the exercises, respectively (difference + 0.16 D;p < 0.001). Accommodative facility values before and after exercises were 14.88 ± 3.36 and 15.59 ± 3.60 cpm, respectively (p < 0.01). No significant differences in accommodative lag, relaxation, and accommodative facility before and after exercise were observed in the control group. Conclusions: Using ADRRPs in vergence exercises can improve accommodative lag, accommodative facility, and accommodative relaxation in adults with myopia. Further research to evaluate persistent and long-term effects is needed. © 2023, The Author(s).

关键词： Accommodative facility Accommodative lag Automatic dual rotational Risley prisms (ADRRPs) Vergence exercise

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Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

Low-loss, nonvolatile tuning of Bragg structures with Sb2Se3

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CLEO: Applications and technology in CLEO 2024, CLEO: A and T 2024 - Part of Conference on Lasers and Electro-Optics

作者： Nobile, Nicholas A. Lian, Chuanyu Sun, Hongyi Huang, Yi-Siou Mills, Brian Popescu, Cosmin Constantin Callahan, Dennis Hu, Juejun Ríos Ocampo, Carlos A. Youngblood, Nathan Electrical & Computer Engineering Department University of Pittsburgh PittsburghPA15213 United States Department of Materials Science & Engineering University of Maryland College ParkMD20742 United States Institute for Research in Electronics and Applied Physics University of Maryland College ParkMD20742 United States Department of Materials Science & Engineering Massachusetts Institute of Technology CambridgeMA02139 United States Draper Scholar Program The Charles Stark Draper Laboratory Inc. CambridgeMA02139 United States The Charles Stark Draper Laboratory Inc. CambridgeMA02139 United States

Sb2Se3 is used to switch between broadband transparency and enhanced index contrast in two device types leveraging Bragg gratings for tunable stop- and pass-band functionalities. Experimental results highlight fabrication challenges and efficacy of the designs. © Optica Publishing Group 2024, © 2024 The Author(s)

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An Agent-Based Model of Microgrids with Distributed Renewable Energy Sources

An Agent-Based Model of Microgrids with Distributed Renewabl...

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Power, Energy and electrical engineering (CPEEE), International Conference on

作者： Gyu Yeon Kim Danyao Peng Sangyub Lee Seon Han Choi Graduate Program in Smart Factory Ewha Womans University Seoul South Korea Department of Electronic and Electrical Engineering Ewha Womans University Seoul South Korea Energy IT Convergence Research Center Korea Electronics Technology Institute Seongnam South Korea

ISBN: (数字)9798331520090

ISBN: (纸本)9798331520106

The high penetration of renewable energy sources poses a challenge to stability of power systems, particularly microgrids, which are more vulnerable due to their small capacity and low inertia. To address instability, system components and their interactions need to be represented to more efficiently understand and optimize complex systems. Agent-based modeling enables autonomous operation and collaborative interaction, making the system adaptable to changes efficiently, making it ideal for microgrid management. In this paper, an agent-based microgrid simulation model is proposed. By independently representing microgrid components such as generators, energy storage systems (ESS), loads, environments and controllers, models can dynamically simulate the behavior of power systems, respond to system changes in real time. To validate the proposed model, experiments are conducted based on IEEE 13 bus system, and the results show that with the use of ESS, the frequency peak is reduced from over 62 Hz to around 60 Hz. In the case of sudden demand fluctuations, the frequency remains relatively stable, staying close to 60 Hz. The model demonstrates flexibility and robustness in managing renewable energy fluctuations and sudden load changes.

关键词： Renewable energy sources Adaptation models Fluctuations Microgrids Power system stability Stability analysis Real-time systems Smart grids Thermal stability Load modeling

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An Agent-Based Model of Microgrids with Distributed Renewable Energy Sources 15

An Agent-Based Model of Microgrids with Distributed Renewabl...

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15th International Conference on Power, Energy, and electrical engineering, CPEEE 2025

作者： Kim, Gyu Yeon Peng, Danyao Lee, Sangyub Choi, Seon Han Ewha Womans University Graduate Program in Smart Factory Seoul Korea Republic of Ewha Womans University Department of Electronic and Electrical Engineering Seoul Korea Republic of Korea Electronics Technology Institute Energy IT Convergence Research Center Seongnam Korea Republic of

ISBN: (纸本)9798331520090

关键词： Distributed Wind

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