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2024 Frontiers in Optics, FiO 2024

作者： Bartos, Jan Tis, Taleb Ba Park, Wounjhang Huang, Shu-Wei Department of Electrical Computer and Energy Engineering University of Colorado Boulder80309 United States Material Science and Engineering Program University of Colorado Boulder80309 United States

We present progress towards an imaging magnetometer using a magneto-optical polymer nanocomposite thin film, experimentally demonstrating 29nT/√Hz sensitivity with © Optica Publishing Group 2024, © 2024 The... 详细信息

关键词： Heterodyne detection

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Detecting Patent Ductus Arteriosus in Neonatal Phonocardiograms 50

Detecting Patent Ductus Arteriosus in Neonatal Phonocardiogr...

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50th Computing in Cardiology, CinC 2023

作者： Zamani, Mohammad Ali Grooby, Ethan Lacey, James Malhotra, Atul Marzbanrad, Faezeh School of Electrical and Computer Engineering University of Tehran Iran Monash University Department of Electrical and Computer Systems Engineering Australia University British Columbia Department of Electrical and Computer Engineering Canada Monash University Monash Children's Hospital and Department of Paediatrics Australia

ISBN: (纸本)9798350382525

During fetal development, ductus arteriosus allows blood ejected by the right ventricle to bypass the lung. The persistence of this ductus after birth however is considered pathological and is termed patent ductus arteriosus (PDA). Using phonocardiograms (PCGs) acquired from a digital stethoscope, the objective is to explore discriminatory features and statistically analyse them. In this research, we obtained 48 PCG recordings from 41 neonates. 17 recordings (15 neonates) had PDA, 8 recordings (7 neonates) had other heart structure abnormalities identified during echocardiography and were excluded in this study, and 23 recordings (21 neonates) had no heart structure abnormalities based on clinical assessment. Recordings were denoised using non-negative matrix co-factorization. Denoised phonocardiograms were then segmented into S1, systolic, S2, and diastolic periods. Temporal (durations and maximum values), statistical (variance, skewness, and kurtosis), and power (total power, and 25-100Hz, 25-45 Hz, 45-80 Hz, 100-200 Hz, and 200-400Hz band powers) were obtained for each heart segment and relative ratios between segments calculated. Statistical tests were then performed to identify significant features for discriminating PCG recordings. © 2023 CinC.

关键词： Echocardiography

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Automatic Generation Control for a Two-Area Multi-Source Power System with Renewable Energy Using the Komodo Mlipir Algorithm

Automatic Generation Control for a Two-Area Multi-Source Pow...

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2023 IEEE International Conference on Energy Technologies for Future Grids, ETFG 2023

作者： Windiarto Nappu, Muhammad Bachtiar Hasniaty, A. Arief, Ardiaty Hasanuddin University Electricity Market and Power Systems Research Group Department of Electrical Engineering Faculty of Engineering Gowa92119 Indonesia

ISBN: (纸本)9781665471640

This paper represents the use of the Komodo Mlipir Algorithm (KMA) optimization method for automatic generation control (AGC) of a two-area multi-source power system with renewable energy sources (thermal, gas, hydro, and wind). Its aim is to enhance the system's dynamic responses. The FO-PID controller is utilized to acquire KMA-optimized controller parameter values using the integral of time weighted absolute Error (ITAE) objective function to demonstrate the proposed approach. In accordance with the system dynamic response, the FO-PID controller surpasses the regular PID and 2DOF-PID controllers. The FO-PID controller's robustness is also tested in both domains with a step load. Finally, the simulation results reveal that KMA outperforms alternative population-based optimization strategies. Thus, KMA can be one of the options as a controller tuning algorithm for AGC system modeling. © 2023 IEEE.

关键词： Automatic Generation Control (AGC) Fractional Order of PID (FO-PID) Integral of Time weighted Absolute Error (ITAE) Komodo Mlipir Algorithm (KMA) Renewable Energy Sources

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A Design of UI Image Generation Method for Flutter programming Learning Assistant System 13

A Design of UI Image Generation Method for Flutter Programmi...

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13th IEEE Global Conference on Consumer Electronic, GCCE 2024

作者： Aung, Lynn Htet Funabiki, Nobuo Aung, Soe Thandar Kao, Wen-Chung Okayama University Department of Information and Communication Systems Okayama Japan National Taiwan Normal University Department of Electrical Engineering Taipei Taiwan

ISBN: (纸本)9798350355079

To support novice students in learning Dart programming on Flutter, a cross-platform development framework, we have developed Flutter programming Learning Assistant System (FPLAS). It features a Docker-based development environment and includes teacher-prepared sample projects for exercises. After completing these projects, students need to submit source codes and their output UI images to a teacher. Then, the teacher will manually assess them one by one. However, this manual assessment is inefficient and inconsistent due to variations in browser types and students' PC resolutions. In this paper, we present a design of the UI image generation method for FPLAS to solve this issue. This method automatically runs submitted source codes on the FPLAS Docker container, and capture and store their output UI images. It will use the Flask Python framework. The implementation and evaluation of the design will be in future works. © 2024 IEEE.

关键词： Students

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Parametric Dictionary Learning for Topological Signal Representation 31

Parametric Dictionary Learning for Topological Signal Repres...

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31st European Signal Processing Conference, EUSIPCO 2023

作者： Battiloro, Claudio Di Lorenzo, Paolo Ribeiro, Alejandro Department of Information Engineering Electronics and Telecommunications Sapienza University Rome Italy Electrical and Systems Engineering Department University of Pennsylvania Philadelphia United States

ISBN: (纸本)9789464593600

The aim of this paper is to introduce a novel dictionary learning algorithm for sparse representation of signals defined over regular cell complexes. Leveraging tools from Hodge theory, we inject the underlying topology in the dictionary structure by parametrizing it as a concatenation of sub-dictionaries that are polynomial of Hodge Laplacians. The learning problem is cast as the joint optimization of the topological dictionary coefficients and the sparse signal representation, which is efficiently solved via an iterative alternating algorithm. Numerical results on synthetic data show the effectiveness of the proposed procedure in learning sparse representations of topological signals. © 2023 European Signal Processing Conference, EUSIPCO. All rights reserved.

关键词： Topology

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Analysis of Failure Causes in the Mammography Machines 9th

Analysis of Failure Causes in the Mammography Machines

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9th Latin American Congress on Biomedical engineering, CLAIB 2022 and 28th Brazilian Congress on Biomedical engineering, CBEB 2022

作者： Hernandez-Contreras, Indira Martinez-Licona, Fabiola M. Electrical Engineering Department Universidad Autonoma Metropolitana Iztapalapa Mexico City Mexico Universidad Autonoma Metropolitana Biomedical Engineering Academic Program Iztapalapa Mexico City Mexico

ISBN: (纸本)9783031494093

Patient safety arises from the need to prevent and protect patients from avoidable mistakes. Two fundamental concepts that shape patient safety are error and adverse events, the consequences may range from potentially dangerous complications, slow recoveries, high medical costs, or unnecessary deaths. Breast cancer has become a global health problem with one of the most expensive burdens among non-communicative diseases. Since screening mammography is the most used method for tumor identification, patient safety applied to this technology is focused on delivering safe and effective service that results in an accurate and reliable diagnosis. This paper presents the analysis of the causes that can induce a potential failure in the mammography machine, and the actions to correct them. We used a risk analysis approach to identify the failures that may occur while using a mammography machine in screening programs. We extracted the information about the failures from specialized consultation and discussion forums and technical and operation manuals. We adapted the concepts of severity, occurrence, and detection involved in calculating the risk priority number according to the Failure Mode and Effects Analysis method, assigning them one of three levels (low, medium, and high). The adapted risk priority level was calculated from the averaged product of levels from the mentioned components. The results were mapped into an Ishikawa diagram, and an action procedure proposal was shown. The causes found are defined mainly concerning the handling of the equipment components, although causes related to the acquisition technique, patient handling, and availability of support information. © 2024, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Risk assessment

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Growth of CySi1-x-ySnx Alloys for Low-Cost High-Efficiency Multi-Junction Solar Cells 52

Growth of CySi1-x-ySnx Alloys for Low-Cost High-Efficiency M...

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52nd IEEE Photovoltaic Specialist Conference, PVSC 2024

作者： Banihashemian, Seyedeh Fahimeh Mahmoudi, Mohammad Mosleh, Aboozar Naseem, Hameed A. University of Arkansas Department of Electrical Engineering FayettevilleAR72701 United States Materials Science & Engineering Program University of Arkansas FayettevilleAR72701 United States

ISBN: (纸本)9781665464260

The future demand for high efficiency solar cell necessitates a breakthrough in development of multi-junction cells. Presently, single junction solar cells dominate the market due to the high production expenses associated with multi-junction variants. This study demonstrates growth and characterization of a new ternary material system of CSiSn that holds promise for fabricating high-efficiency multi-junction solar cells on a Si substrate. © 2024 IEEE.

关键词： Ternary alloys

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Deep Semantic and Attentive Network for Unsupervised Video Summarization

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ACM Transactions on Multimedia Computing, Communications and Applications 2022年第2期18卷 1–21页

作者： Zhong, Sheng-Hua Lin, Jingxu Lu, Jianglin Fares, Ahmed Ren, Tongwei College of Computer Science and Software Engineering Shenzhen University Shenzhen518060 China Department of Electrical Engineering Computer Systems Engineering Program Faculty of Engineering at Shoubra Benha University Cairo Egypt State Key Laboratory for Novel Software Technology Nanjing University Nanjing210023 China

With the rapid growth of video data, video summarization is a promising approach to shorten a lengthy video into a compact version. Although supervised summarization approaches have achieved state-of-the-art performance, they require frame-level annotated labels. Such an annotation process is time-consuming and tedious. In this article, we propose a novel deep summarization framework named Deep Semantic and Attentive Network for Video Summarization (DSAVS) that can select the most semantically representative summary by minimizing the distance between video representation and text representation without any frame-level labels. Another challenge associated with video summarization tasks mainly originates from the difficulty of considering temporal information over a long time. Long Short-Term Memory (LSTM) performs well for temporal dependencies modeling but does not work well with long video clips. Therefore, we introduce a self-attention mechanism into our summarization framework to capture the long-range temporal dependencies among the frames. Extensive experiments on two popular benchmark datasets, i.e., SumMe and TVSum, show that our proposed framework outperforms other state-of-the-art unsupervised approaches and even most supervised methods. © 2022 Association for Computing Machinery.

关键词： Semantics

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Relational Maneuvering Guidance Strategy for Leader-Follower Flexible Formation in Three Dimensions

Relational Maneuvering Guidance Strategy for Leader-Follower...

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AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025

作者： Ranjan, Praveen Kumar Sinha, Abhinav Cao, Yongcan Unmanned Systems Lab Department of Electrical and Computer Engineering The University of Texas at San Antonio San AntonioTX78249 United States Lab Department of Aerospace Engineering and Engineering Mechanics University of Cincinnati CincinnatiOH45221 United States

ISBN: (数字)9781624107238

ISBN: (纸本)9781624107238

In this paper, we propose a new three-dimensional formation scheme for a leader-follower unmanned aerial vehicle (UAV) system, where the follower maintains formation by converging to a set of positions relative to the leader rather than a single point. Particularly, the follower maintains a fixed distance from the leader and constrains its bearing angle (which is the angle between its velocity vector and its line-of-sight (LOS) with respect to the leader) within some predefined intervals. This allows the follower to converge to a larger set, thereby enabling time-varying formation geometry and different orientations between the leader and the follower. This provides the follower flexibility to maneuver independently of the leader while maintaining formation. We model leader-follower UAVs as non-holonomic agents where their linear and angular speeds are chosen as control inputs to design closed-loop guidance laws under formation constraints. The proposed flexible-geometry formation scheme allows the follower to anticipate the leader’s movement and emulates the pilot’s behavior as in real air combat, tight formation, etc. The designed guidance laws are robust to the leader’s maneuver changes since the follower UAV’s control law does not need information on the leader’s angular speed control and only uses relative measurements. This makes the design lucrative even when global measurements are unavailable or if the leader UAV is non-cooperative. Finally, we present simulations for various target maneuvers to highlight the merits of the proposed flexible formation control laws. © 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Estimating Wind Energy Potential: Advanced Smart Hybrid VAWT Analysis in Banjarmasin, Indonesia 6

Estimating Wind Energy Potential: Advanced Smart Hybrid VAWT...

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6th International Conference on Power engineering and Renewable Energy, ICPERE 2024

作者： Irawan, Elysa Nensy Miyagawa, Mei Putra, Maulana Yamashita, Ken-Ichiro Fujita, Goro Functional Control Systems Shibaura Institute of Technology Tokyo Japan Shibaura Institute of Technology Department of Electrical Engineering Tokyo Japan Indonesia Agency for Meteorology Climatology and Geophysics Centre for Instrumentation Calibration and Engineering Jakarta Indonesia Salesian Polytechnic Department of Electrical Engineering Tokyo Japan

ISBN: (纸本)9798331504694

This study explores the potential of smart hybrid Savonius-Darrieus wind turbines to optimize wind energy capture in Indonesia, a country with significant wind resources. With solar and wind energy leading the renewable energy transition, this research focuses on enhancing wind turbine efficiency in regions with variable wind speeds. The hybrid Savonius-Darrieus turbine integrates the complementary strengths of both turbine types, employing a solenoid mechanism to switch between modes and a filtering method to stabilize operation. Our results demonstrate that this innovative design significantly reduces mechanical wear and operational instability by minimizing unnecessary switching events. Testing in Banjarmasin, Indonesia, the daily average wind energy potential for the smart hybrid and conventional hybrid turbines is calculated to be 6.1 kWh and 4.7 kWh, respectively. This condition revealed that the smart hybrid turbine generates approximately 30.89% more power than conventional hybrid turbines, highlighting its superior adaptability to fluctuating wind conditions. The turbine's ability to maintain efficient energy capture across a wide range of wind speeds underscores its potential for broader application in diverse environmental settings. © 2024 IEEE.

关键词： Windmill

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