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ESG Investing: A Statistically Valid Approach to Data-Driven Decision Making and the Impact of ESG Factors on Stock Returns and Risk

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IEEE Access 2024年 12卷 69434-69444页

作者： Teja, Kamurthi Ravi Liu, Chuan-Ming National Taipei University of Technology International Program of Electrical Engineering and Computer Science Taipei10608 Taiwan National Taipei University of Technology Department of Computer Science and Information Engineering Taipei10608 Taiwan

This study examines the impact of environmental, social, and governance (ESG) factors on economic investment from a statistical perspective, aiming to develop a tested investment strategy that capitalizes on the connection between ESG factors and financial performance. ESG investing: A statistically valid approach to data-driven decision-making (ESGI-SVADDM) investment strategy is based on a rigorous, statistically valid approach that utilizes data, math, statistics, and data science libraries to drive investment decisions, eliminating the need for personal opinions and subjectivity. The process includes establishing an investment thesis, formulating testable hypotheses (HPS), retrieving and refining relevant data, calculating relevant measures, and testing and validating all hypotheses. The study uses S&P 500 stock data and ESG data from Sustainalytics to test the hypotheses. The empirical tests conducted revealed a negative correlation between ESG risk and expected returns, as well as a positive trend in the relationship between ESG risk and the overall risk of stocks. Moreover, the study found that higher ESG risk scores are associated with lower returns for investors, and that adopting a strategy of investing in stocks with low ESG risk and shorting stocks with high ESG risk yields superior returns compared to the market portfolio. © 2013 IEEE.

关键词： Investments

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DrugEL: Ensemble Learning Model for Identification of Druggable Proteins

DrugEL: Ensemble Learning Model for Identification of Drugga...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Ali, Md. Mamun Ahmed, Kawsar Bui, Francis M. Wu, Fang-Xiang University of Saskatchewan Division of Biomedical Engineering Saskatoon Canada University of Saskatchewan Department of Electrical and Computer Engineering Saskatoon Canada University of Saskatchewan Division of Biomedical Engineering Department of Mechanical Engineering Department of Computer Science Saskatoon Canada

ISBN: (纸本)9798350386226

Druggable proteins are defined as proteins that can interact with drugs to modulate certain biological activity. The identification of druggable proteins holds significant clinical importance, directly impacting the development of targeted therapies for diseases like cancer and metabolic disorders. Identifying druggable proteins involves various methods, including computational prediction models, mass spectrometry (MS), and biochemical assays, but achieving high accuracy remains a challenge. This study proposes DrugEL, an ensemble learning model that uses Bayesian inference to integrate predictions from multiple algorithms: Random Forest (RF), K-Nearest Neighbor (KNN), LightGBM (LGBM), and Decision Tree (DT) with seven feature extraction methods (LSA, AAC, PAAC, GAAC, NMBroto, AAIndex, and KNN). The results show that DrugEL outperforms existing models in terms of accuracy (0.9758), MCC (0.9515), AUC (0.9758), sensitivity (0.9742) and specificity (0.9774), particularly excelling with the LSA method. © 2024 IEEE.

关键词： Contrastive Learning

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Boost DC-DC converter with regenerative snubber

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Energy Reports 2024年 12卷 798-819页

作者： Yau, Yeu-Torng Department of Ph.D. Program Prospective Technology of Electrical Engineering and Computer Science National Chin-Yi University of Technology Taichung Taiwan Department of Electrical Engineering National Chin-Yi University of Technology Taichung Taiwan

To accommodate the wide range of input voltages supplied by redundant batteries and ensure an adequate hold-up time for communication systems during utility power failures, power supplies used in 5 G base stations typically include a front-end boost converter as the first stage and a second-stage isolated converter. In this paper, a new topology for a regenerative snubber in boost converters is proposed. Compared to traditional active or passive snubber topologies, the proposed snubber offers the advantages of having fewer components and occupying less space. Moreover, it does not require additional active devices and can be driven by widely-used commercial PWM control integrated circuits, achieving a higher level of cost-effectiveness and offering increased industrial applications. The final prototype of a power supply for a networking switch hub (as used in 5 G base stations) is fabricated to demonstrate the feasibility of the proposed method. © 2024 The Authors

关键词： Topology

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Active Power Control Strategy with Load Impedance Estimation Method for IH Cooktop Considering Utilization of Double-bottom Pot

Active Power Control Strategy with Load Impedance Estimation...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Kwon, Man Jae Kang, Seung Hyun Hwang, Yun Seong Kim, Hyeon Soo Yoo, Dong-Wook Lee, Byoung Kuk Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Hanyang University Department of Electrical and Biomedical Engineering Seoul Korea Republic of

ISBN: (纸本)9798350376067

For conventional domestic induction cooktop using series resonant inverter, the reference power of system can be controlled by frequency variation. In this case, the controller only monitors the input power condition to satisfy target power level. However, when the double-bottom pot is located on a working coil, system can be damaged by large magnitude of output current under the same target input power since the equivalent impedance of load highly decreases compared to ferromagnetic pot. Therefore, in this digest, active power control strategy is established with mathematical analysis of load impedance without obtaining input power curve data. Through experimental results using 3.2 kW test bed, the validity of proposed method is evaluated. © 2024 IEEE.

关键词： Electric load management

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Bidirectional Performance-considered 11 kW Integrated Wired/Wireless EV Charging System with Effective Operation Strategy

Bidirectional Performance-considered 11 kW Integrated Wired/...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Lee, Ju-A Sim, Dong Hyeon Jo, Hyeonu Kim, Chae-Lyn Yoo, Dong-Wook Lee, Byoung Kuk Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Hanyang University Department of Electrical and Biomedical Engineering Seoul Korea Republic of

ISBN: (纸本)9798350376067

In this paper, a circuit configuration of a bidirectional integrated wired/wireless charging system is proposed for electric vehicle (EV). In the conventionally proposed integrated charging system, a structural limitation is identified. Through consideration of the structural limitation, an enhanced integrated charging system is proposed to address the fundamental problems of the conventional system. As a result, the control strategy for the effective operation of the proposed system is explained in wired/wireless operation modes. Additionally, superior performance is demonstrated through experimental validation considering battery charging and discharging situations. © 2024 IEEE.

关键词： Charging stations

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Optimized Design Strategy of CLLC converter Considering High Efficiency Operation in 22kW Bidirectional On-Board Charger

Optimized Design Strategy of CLLC converter Considering High...

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2024 IEEE Energy Conversion Congress and Exposition, ECCE 2024

作者： Sim, Dong Hyeon Lee, Ju-A Jo, Hyeonu Kim, Chae-Lyn Yoo, Dong-Wook Lee, Byoung Kuk Sungkyunkwan University Department of Electrical and Computer Engineering Suwon Korea Republic of Hanyang University Department of Electrical and Biomedical Engineering Seoul Korea Republic of

ISBN: (纸本)9798350376067

This paper proposes a high-efficiency design methodology for a CLLC converter within a 22kW bidirectional On-Board Charger (OBC). Further analysis determines the converter's operational range in relation to the transformer turn ratio for different operational modes. Following the design of a resonance network that aligns with these turn ratios, the study identifies an optimal design strategy for high-efficiency operation through a comparative loss analysis. Experimental verification on a CLLC converter testbed confirms the effectiveness and validity of the proposed design method. © 2024 IEEE.

关键词： Resonant converters

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Variable Length Multi-Objective Whale Optimization for Trust Aware Data Gathering in Wireless Sensor Network

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IEEE Access 2025年 13卷 32100-32121页

作者： Saad, Mohammed Ayad Jaafar, Rosmina Chellappan, Kalaivani Faculty of Engineering and Built Environment Department of Electrical Electronics and System Engineering Selangor Bangi43600 Malaysia Al-Kitab University Department of Medical Instrumentations Technique Engineering Kirkuk36001 Iraq Universitas Airlangga Biomedical Engineering Study Program Faculty of Science and Technology Surabaya60115 Indonesia

Efficient data collection in wireless sensor networks (WSNs) is crucial. While traditional approaches rely on stationary data sinks, the use of mobile sinks, like unmanned aerial vehicles (UAVs), has shown promise in enhancing data-gathering capabilities. However, existing methods often overlook the importance of trust, leaving the network susceptible to malicious or faulty nodes. To address this issue, we propose a novel trust-aware data-gathering algorithm, Variable Length Multi-Objective Whale Optimization Data Gathering (VLMOWO-DG). Our algorithm simultaneously optimizes energy consumption, delay, and trust while employing mobile sinks to collect data from sensor nodes. By considering trust as a key performance metric, we improve data reliability and security. The VLMOWO-DG algorithm introduces flexibility through variable-length solution representation and application-oriented operators, allowing for efficient exploration of the solution space. Simulation results demonstrate that our proposed algorithm significantly outperforms established benchmarks, NSGA-II and NSGA-III, in terms of domination and hypervolume. This leads to a remarkable improvement of 200% in data gathering performance. © 2015 The Authors.

关键词： Data collection

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Eighteen-Element Antenna for Metal-Rimmed Smartphone Sub-6 GHz LTE42 Band Applications

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computers, Materials & Continua 2022年第11期73卷 3181-3198页

作者： Saqer S.Alja’Afreh Mallak H.Alshamaileh Eqab Almajali Jawad Yousaf Amir Altaf Electrical Engineering Department Mutah UniversityAl-karak61710Jordan Electrical Engineering Department University of SharjahSharjahUAE Department of Electrical Computer&Biomedical EngineeringAbu Dhabi UniversityAbu DhabiUAE Department of Electrical and Computer Engineering Sungkyunkwan UniversityKorea

Due to the limited space and large mutual coupling levels,the design of sub-6 GHz massive Multi-Input Multi-Output(m-MIMO)smartphone antenna system attracts antennas’designers and engineers ***,this paper presents 18-element m-MIMO antenna system that covers the long-term evolution 42(LTE42)frequency band(3.4–3.6 GHz)for the fifth generation(5G)applications in metallic frame *** proposed array system is etched on the long sides of a metal rim of the mobile chassis symmetrically,which is electrically connected to the system ground plane with zero ground clearance.A low-profile frame of height 7 mm(λ/12.3)is symmetrically placed below&above the ground system *** two frame parts(above/below the ground level)are utilized separately for the implantation of the antenna elements to achieve good space exploitation and perfect pattern diversity between *** feeds are used to further increase the level of the isolation where each antenna element above the ground level is fed by a 50-ohm microstrip line,and each antenna element below the ground level is fed by a 50-ohm coplanar waveguide(CPW).The proposed antenna structure is a capacitive coupled-fed open-slot antenna with a small footprint area of 12×3.5 mm2(λ/7.2×λ/24.5,whereλrepresents the free space wavelength at 3.5 GHz).A small coupling L-shaped strip provides a capacitive coupling for the proposed 5G antenna *** establish the contribution of the proposed 18-element m-MIMO,the prototype of the proposed system was manufactured and successfully *** measured and simulated results are shown to be in good *** proves that the proposed antenna provides coverage for the LTE42 band(3.4–3.6 GHz)with acceptable isolation and ***,the performance of the proposed m-MIMO were further verified via channel capacity calculation and the envelope correlation coefficient(ECC)*** on that,the proposed m-MIMO is shown to provide a desira

关键词： Metal-rim smartphone antennas massive MIMO 5G band

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Cardiac Ischemia Detection Using Self-Organizing Map Feature Selection Method 31

Cardiac Ischemia Detection Using Self-Organizing Map Feature...

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31st National and 9th International Iranian Conference on biomedical engineering, ICBME 2024

作者： Karampour, Ramin Aghili Bakhtiar, Amir Arshia Hajizamani, Kiarash Fallahi, Alireza Zadeh, Hamid Soltanian Hamedan University of Technology Biomedical Engineering Department Hamedan Iran School of Electrical and Computer Engineering Tehran Iran

ISBN: (纸本)9798331529710

Cardiac ischemia, a prevalent cause of heart failure, remains the leading cause of death in Iran. Early diagnosis of this condition is crucial, and electrocardiogram (ECG) signal processing techniques offer valuable insights. By analyzing ECG signals from ischemic patients and comparing them to those of normal individuals, we can extract relevant features for classification. Our study extracted some features from ECG signals, including statistical, time-based, frequency, and time-frequency features. We employed the self-organizing maps method (SOM) to identify the most informative features. Subsequently, we evaluated the classification accuracy using several machine learning algorithms, including support vector machines (SVM), Naive Bayes, Linear Discriminant Analysis (LDA), and Logistic Regression. The results demonstrated the superiority of the SOM method in selecting the best features compared to PCA, with accuracies of 9 1.2%, 84.3%, 72.5%, and 88.9% for SVM, LDA, NB, and LR methods, respectively. Our findings contribute to the early detection and management of cardiac ischemia, potentially improving patient outcomes. © 2024 IEEE.

关键词： Conformal mapping

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Highly sensitive optical biosensor based on electromagnetically induced transparency in a graphene-dielectric metasurface

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Optical and Quantum Electronics 2025年第4期57卷 1-17页

作者： Bagheritabar, Mohsen Molaei Zarasvand, Mahdi Yazdani, Afsoon Molaei Zarasvand, Melika Salemizadeh Parizi, Mohammad Bahadori-Haghighi, Shahram Department of Electrical Engineering University of Cincinnati CincinnatiOH45221-0030 United States Department of Electrical and Computer Engineering Clemson University ClemsonSC29634 United States Department of Electrical and Computer Engineering K. N. Toosi University of Technology Tehran Iran Department of Electrical Engineering Sharif University of Technology Tehran Iran Department of Biomedical Engineering Georgia Institute of Technology Emory University AtlantaGA30332 United States Department of Communication and Electronics Engineering Shiraz University Shiraz Iran

In this paper, a graphene-dielectric metasurface is proposed for effective optical biosensing. The structure is composed of a periodic array of double-slit split-ring resonators (SRRs) adjacent to silicon bars over a sheet of graphene and silicon dioxide substrate. Interactions between electric dipoles (bright modes) in silicon bars and magnetic dipoles (dark modes) excited in SRRs lead to a high quality factor resonance based on the phenomenon of electromagnetically induced transparency (EIT). High electric field confinement is achieved within the two gaps of SRRs at the resonance frequency, which result in strong light-analyte interaction. The structural parameters of the proposed metasurface are optimized to achieve the best performance. The biosensor is analyzed using the finite-element method (FEM) and the results are presented. Owing to the high Q-factor EIT resonance and the enhanced light-matter interaction inside the gaps, a high sensitivity of 496 nm/RIU and figure-of-merit (FOM) of as high as 741 RIU−1 are achieved that are higher than those reported in recently published works. The resolution and the linearity R2 value of the proposed biosensor are calculated to be 2.02e-4 and 0.999, respectively. The reported characteristics could be promising for sensing of various biomolecules such as hemoglobin. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2025.

关键词： Q factor measurement

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