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1st International Conference on Advances in Electrical, Electronics and Computational Intelligence, ICAEECI 2023

作者： Vignesh, S. Selvaraj, Jeyraj A-L Che, Hang Seng Tey, Kok Soon Universiti Malaya HiCoE UMPEDAC Level 4 WISMA R&D Faculty of Institute for Advanced Studies Kuala Lumpur59990 Malaysia Universiti Malaya HiCoE UMPEDAC Level 4 WISMA R&D Kuala Lumpur59990 Malaysia Universiti Malaya Department of Computer System & Technology Kuala Lumpur50603 Malaysia

ISBN: (纸本)9798350342796

Ever since the vehicle electrification era had started, lithium-ion batteries become the sole fore runner in powering the Electric Vehicles (EV). Vehicle electrification contributed vastly in public transportation which further promoted the surge in usage of EV in recent days. The EVs are deployed in different climatic environment, and user defined handling which lead the battery to undergo non-uniform degradation as it undergoes a series of charge and discharge cycles. State of Health (SoH) is an indicator to quantify the battery health. When the SoH of lithium-ion batteries deployed in EV application reaches 80% of its nominal capacity, then the battery is said to be reached its End of Life (EoL) in EV application. Such batteries, when translated in to second life applications, its SoH estimation at second life is vital information on defining the operating points of the Second Life Battery (SLB). The SoH estimation of SLB is expected to be non-destructive in nature. This article deals with the SoH estimation of pouch cells that underwent lab level testing for 100 charge and discharge cycles. The battery degradation from cycle 1 to 100 is visualized through Incremental Capacity differential Voltage (ICdV) method. Based on the degradation modes observed in the battery, the Health Indicators (HI) were summarized and the insights on dominant degradation phase can be visualized through bifurcating the operating voltage of the cell in to a particular zones of interest. This voltage band in particular, caters preliminary insights regarding the battery degradation and the same information can be translated to second life thereby reducing the cycle life testing time and efforts. © 2023 IEEE.

关键词： Battery degradation Incremental Capacity differential Voltage Non-destructive test methods Second Life Batteries State of Health

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Crystallographically vacancy‐induced MOF nanosheet as rational single‐atom support for accelerating CO_(2) electroreduction to CO

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Carbon Energy 2024年第8期6卷 49-62页

作者： Jin Hyuk Cho Joonhee Ma Chaehyeon Lee Jin Wook Lim Youngho Kim Ho Yeon Jang Jaehyun Kim Myung‐gi Seo Youngheon Choi Youn Jeong Jang Sang Hyun Ahn Ho Won Jang Seoin Back Jong‐Lam Lee Soo Young Kim Department of Materials Science and Engineering Korea UniversitySeoulRepublic of Korea Department of Chemical and Biomolecular Engineering Sogang UniversitySeoulRepublic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology(POSTECH)PohangRepublic of Korea Department of Materials Science and Engineering Research Institute of Advanced MaterialsSeoul National UniversitySeoulRepublic of Korea Lotte Chemical R&D Center DaejeonRepublic of Korea Department of Chemical Engineering Hanyang UniversitySeoulRepublic of Korea School of Chemical Engineering and Material Science Chung‐Ang UniversitySeoulRepublic of Korea

To attain a circular carbon economy and resolve CO_(2) electroreduction technology obstacles,single‐atom catalysts(SACs)have emerged as a logical option for electrocatalysis because of their extraordinary catalytic *** SACs,metal–organic frameworks(MOFs)have been recognized as promising support materials because of their exceptional ability to prevent metal *** study shows that atomically dispersed Ni single atoms on a precisely engineered MOF nanosheet display a high Faradaic efficiency of approximately 100% for CO formation in H‐cell and three‐compartment microfluidic flow‐cell reactors and an excellent turnover frequency of 23,699 h^(−1),validating their intrinsic catalytic *** results suggest that crystallographic variations affect the abundant vacancy sites on the MOF nanosheets,which are linked to the evaporation of Zn‐containing organic linkers during ***,using X‐ray absorption spectroscopy and density functional theory calculations,a comprehensive investigation of the unsaturated atomic coordination environments and the underlying mechanism involving CO^(*) preadsorbed sites as initial states was possible and provided valuable insights.

关键词： 2‐dimensional material carbon dioxide reduction metal-organic frameworks single‐atom catalysts vacancy sites

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Analysis of titanium coated silencer exhaust gas emission in automobile vehicle using artificial neural network

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Materials Today: Proceedings 2022年 69卷 732-738页

作者： Vijayaraghavan, P. Janakiraman, V. Surulivel rajan, T. Logesh, K. rajiv Gandhi, N. Gnanavel, C. Sathi, G. Department of Mechanical Engineering Prince Shri Venkateshwara Padmavathy Engineering College Chennai India Department of Mechanical Engineering Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai India Department of Mechanical Engineering Vels Institute of Science Technology and Advanced Studies Chennai India

In developing countries like India, pollution is a major environmental problem. Among various factors of pollution, vehicular pollutions contribute major part in urban areas. The National Environmental Engineering research Institute has estimated that about 60–70% of total air pollution is caused by automobiles in all major *** a perfect vehicular emissions model, real world driving characteristics have to be analyzed. It is necessary to investigate the relationship between various parameters such as speed, age, power and driving behaviour of the vehicle. Vehicles particularly emit gases such as CO, CO2, HC, NOX, and O2. They are measured with five gas analyzer to find out the emission rates of four stroke two wheeler vehicles under static and dynamic condition. The factors considered are the age, power of the vehicle and driving behaviour. From the emission rates a prediction model is developed using artificial neural network and the composition of air pollutants will be calculated and then compared with emission standards. © 2022

关键词： developing countries

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Improving FANET Communication with a QoS Optimized Location-Aided routing Protocol 5

Improving FANET Communication with a QoS Optimized Location-...

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5th International Conference on Smart Electronics and Communication, ICOSEC 2024

作者： Farithkhan, A. ruby, E.d. Kanmani Prabha, M. Manju, S. ramasamy, r. Mahesh, K. Michael Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Electronics and Communication Engineering Chennai Avadi600062 India Chennai Institute of Technology Center for advanced wireless technology Chennai Kundrathur600069 India Ramco Institute of Technology Department of Electronics and Communication Engineering Tamilnadu India Saveetha Engineering College Department of Electronics and Communication Engineering Chennai602105 India

ISBN: (纸本)9798331504403

Unmanned Aerial Vehicle (UAV) swarms play an essential role in emergency communication situation, especially when conventional infrastructure is under attack. Making effective routing protocols for Flying Ad Hoc Networks (FANETs) is a challenging task. Current routing protocols-which were frequently created for MANETs and VANETs-assume that UAV nodes move randomly, which is inappropriate in mission-oriented applications. The purpose of this research is to alleviate network bottlenecks in mission-oriented UAV swarms by proposing a novel 3d cone-shaped location-aided routing protocol with increased Quality of Service (QoS), called LArP-EQ. Modified Location Aided routing protocol (MLArP) balances power consumption and end-to-end (E2E) delay to maximize network performance. The outcomes of the simulation demonstrate significant improvements in 20% Packet delivery ratio (Pdr), 15% average end-to-end delay and better energy consumption over the current standards. © 2024 IEEE.

关键词： Unmanned aerial vehicles (UAV)

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TLXML: TASK-LEVEL EXPLANATION OF META-LEArNING VIA INFLUENCE FUNCTIONS

arXiv

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arXiv 2025年

作者： Mitsuka, Yoshihiro Golestan, Shadan Sufiyan, Zahin Schoepp, Sheila Miwa, Shotaro Zaïane, Osmar r. Information Technology R&D Center Mitsubishi Electric Corporation Japan Department of Computing Science University of Alberta Canada Advanced Technology R&D Center Mitsubishi Electric Corporation Japan Alberta Machine Intelligence Institute Canada

The scheme of adaptation via meta-learning is seen as an ingredient for solving the problem of data shortage or distribution shift in real-world applications, but it also brings the new risk of inappropriate updates of the model in the user environment, which increases the demand for explainability. Among the various types of XAI methods, establishing a method of explanation based on past experience in meta-learning requires special consideration due to its bi-level structure of training, which has been left unexplored. In this work, we propose influence functions for explaining meta-learning that measure the sensitivities of training tasks to adaptation and inference. We also argue that the approximation of the Hessian using the Gauss-Newton matrix resolves computational barriers peculiar to meta-learning. We demonstrate the adequacy of the method through experiments on task distinction and task distribution distinction using image classification tasks with MAML and Prototypical Network. © 2025, CC BY.

关键词： Adversarial machine learning

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deformable micro-supercapacitor fabricated via laser ablation patterning of Graphene/liquid metal

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npj Flexible Electronics 2024年第1期8卷 770-778页

作者： Keon-Woo Kim Seong Ju Park Su-Jeong Park Inae Kim Bomi Park Se Hyun Kim Unyong Jeong Jin Kon Kim Chanwoo Yang National Creative Research Initiative Center for Hybrid Nano Materials by High-level Architectural Design of Block Copolymer Department of Chemical EngineeringPohang University of Science and Technology(POSTECH)PohangGyeongbuk 37763Republic of Korea Advanced Nano-Surface&Wearable Electronics Research Laboratory Heat and Surface Technology R&D DepartmentKorea Institute of Industrial TechnologyIncheon 21999Republic of Korea Division of Chemical Engineering Konkuk UniversitySeoul 05029Republic of Korea Department of Materials Science and Engineering Pohang University of Science and Technology(POSTECH)PohangGyeongbuk 37763Republic of Korea

deformable andminiaturized energy storage devices are essential for powering soft ***,we fabricate deformablemicro supercapacitors(MSCs)based on eutectic gallium-indium liquidmetal(EGaIn)current collectors with integrated *** well-define interdigitated electrode patterning with controlled gap is successfully realized by using the laser ablation because of a strong laser absorption of graphene and *** judicious control of gap size between neighboring interdigitated electrodes and mass loading of graphene,we achieve a high areal capacitance(1336μF cm^(−2))with reliable rate *** addition,owing to the intrinsic liquid characteristics of EGaIn current collector,the areal capacitance of fabricated MSC retains 90% of original value evenafter repetitive foldingand20%stretching up to 1000 ***,we successfully integrate deformable MSC with a commercial light-emitting diode to demonstrate the feasibility ofMSC as a deformable power *** fabricated MSCs operate stably under various mechanical deformations,including stretching,folding,twisting,and wrinkling.

关键词： laser stretching liquid

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Experimental Evaluation of deep Learning Assisted Autism Spectrum disorder Prediction Scheme using Convolutional Classification Principle 5

Experimental Evaluation of Deep Learning Assisted Autism Spe...

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5th International Conference on data Intelligence and Cognitive Informatics, ICdICI 2024

作者： Kumar, Abhinav Thapak, Sonika Thatipudi, Jayendra Gopal rameshkumar, C. Krishnamoorthy, r. Muralitharan, divya Ies College of Technology Department of Computer Science and Engineering Bhopal India University of North Texas Dept. of Computer Science United States Sathyabama Institute of Science and Technology Department Physics India Chennai Institute of Technology Centre for Advanced Wireless Integrated Technology Chennai India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of C.S.E Chennai India

ISBN: (纸本)9798350389609

Autism Spectrum disorder (ASd) is characterized by challenges in social communication and restricted or repetitive behaviors. With rising ASd incidence, early diagnosis and intervention become increasingly crucial for improving developmental trajectories and quality of life. Traditional diagnostic methods are often subjective and limited. This study evaluates a deep learning-based approach for ASd prediction using Convolutional Neural Networks (CNNs) and recurrent Neural Networks (rNNs). Leveraging the Autism Brain Imaging data Exchange (ABIdE) dataset, which includes neuroimaging, genetic, and behavioral data, the model integrates spatial and temporal features to enhance prediction accuracy. The combined feature set yielded the highest accuracy of 93.7%, demonstrating the efficacy of integrating multiple data types. The proposed Convolutional recurrent Hybrid (CrH) model achieved a superior accuracy of 98%, outperforming traditional models. This research highlights the potential of deep learning techniques in improving ASd diagnostics. © 2024 IEEE.

关键词： Convolutional neural networks

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Contextual and Nonstationary Multi-armed Bandits Using the Linear Gaussian State Space Model for the Meta-recommender System

Contextual and Nonstationary Multi-armed Bandits Using the L...

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2023 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2023

作者： Miyake, Yusuke Mine, Tsunenori Graduate School of ISEE Department of Advanced Information Technology Kyushu University Fukuoka Japan Pepabo R&D Institute GMO Pepabo Inc. Fukuoka Japan Faculty of Information Science and Electrical Engineering Fukuoka Japan

ISBN: (纸本)9798350337020

Selecting an optimal recommendation method is crucial for an electronic commerce (EC) site. However, the effectiveness of recommendation methods cannot be known in advance. Although continuous comparative evaluation in an actual environment is essential, it results in opportunity loss. To overcome this problem, opportunity loss reduction has been studied as a multi-armed bandit (MAB) problem, and adaptive meta-recommender systems (meta-rS) were devised to automatically and continuously select the best recommendation method according to a policy. The following three factors cause opportunity loss: the context of the recommendation method, temporal variation, and response time. However, studies are yet to formulate an MAB policy that considers all three factors. Thus, reducing opportunity loss remains a problem. We propose an MAB policy that considers all three causes of opportunity loss by using a Kalman filter for a linear Gaussian state space model. We conducted extensive experiments to select the best recommendation method using data from a real EC site. The results revealed that the proposed policy is highly effective for reducing opportunity loss of the meta-rS during evaluation and increasing cumulative clicks compared with baseline policies. © 2023 IEEE.

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Effects of drying time on the formation of merged and soft MAPbI3 grains and their photovoltaic responses

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Nanoscale Advances 2023年第8期5卷 2190-2198页

作者： Chandel, Anjali Ke, Qi Bin Chiang, Shou-En Cheng, Hsin-Ming Chang, Sheng Hsiung Department of Physics Chung Yuan Christian University Taiwan Taoyuan320314 Taiwan Research Center for Semiconductor Materials and Advanced Optics Taiwan Taoyuan320314 Taiwan Center for Nano Technology and R&D Center for Membrane Technology Chung Yuan Christian University Taiwan Taoyuan320314 Taiwan Department of Photonics National Cheng Kung University Taiwan Tainan701 Taiwan

The grain sizes of soft CH3NH3PbI3 (MAPbI3) thin films and the atomic contact strength at the MAPbI3/P3CT-Na interface are manipulated by varying the drying time of the saturated MAPbI3 precursor solutions, which influences the device performance and lifespan of the resultant inverted perovskite photovoltaic cells. The atomic-force microscopy images, cross-sectional scanning electron microscopy images, photoluminescence spectra and absorbance spectra show that the increased short-circuit current density (JSC) and increased fill factor (FF) are mainly due to the formation of merged MAPbI3 grains. Besides, the open-circuit voltage (VOC) of the encapsulated photovoltaic cells largely increases from 1.01 V to 1.15 V, thereby increasing the power conversion efficiency from 17.89% to 19.55% after 30 days, which can be explained as due to the increased carrier density of the MAPbI3 crystalline thin film. It is noted that the use of the optimized drying time during the spin coating process results in the formation of merged MAPbI3 grains while keeping the contact quality at the MAPbI3/P3CT-Na interface, which boosts the device performance and lifespan of the resultant perovskite photovoltaic cells. © 2023 rSC.

关键词： Photoluminescence

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Visionary Text recognition System for Assisting the Visually Impaired in Identifying Medicines and Products with Hybrid deep Learning 3

Visionary Text Recognition System for Assisting the Visually...

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3rd International Conference on Automation, Computing and renewable Systems, ICACrS 2024

作者： Begum, A. Yasmine Krishnamoorthy, r. Gaikwad, Anil T. Malarvizhi, N. rao, d. Sreenivasa Adinarayana, Nuthalapati Department of EIE Sree Vidyanikethan Engineering College Andhrapradesh India Centre for Advanced Wireless Integrated Technology Chennai Institute of Technology Chennai India Institute of Management Kolhapur India Department of CSE Vel Tech Rangarajan Dr Sagunthala R&D Institute of Science and Technology India Department of ECE Koneru Lakshmaiah Education Foundation AP Vaddeswaram India KKR & KSR Institute of Technology & Sciences Vinjanampadu Narsapur India

ISBN: (纸本)9798331532420

This research focuses on developing an assistive technology for visually impaired individuals, enabling them to read text and recognize objects in their environment. The system utilizes a camera-based approach, employing a resNet model for object detection and text recognition. The proposed system aims to accurately identify and classify objects in real-time, providing audio feedback to the user. This technology can be particularly beneficial for visually impaired individuals in various daily life scenarios, such as reading medication labels, identifying objects in their surroundings, and navigating public spaces. By integrating advanced computer vision techniques, this research aims to improve the quality of life for visually impaired individuals by enhancing their independence and autonomy. © 2024 IEEE.

关键词： Assistive technology

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