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3rd International Conference on Trends in Electronics and Health Informatics, TEHI 2023

作者： Montashir Fahim, A.S.M. Efat, Anwar Hossain Mahedy Hasan, S.M. Oishe, Mahjabin Rahman Jannat, Nahrin Mitu, Mostarina Department of Computer Science and Engineering Rajshahi University of Engineering and Technology Rajshahi6204 Bangladesh

ISBN: (纸本)9789819739363

Pests and insects pose a significant threat to global agriculture, causing crop damage and quality loss, with a massive annual costs. Early detection of these agricultural challenges is essential for sustainable farming and food security. Challenges in early pest detection include class imbalance, computational limitations, and the need for comprehensive feature learning. In response, our study introduces "Tri Focus Net (TFN)," a hybrid model that seamlessly integrates multiple attention mechanisms, including Channel, Soft, and Squeeze-and-Excitation Attentions, effectively addressing these issues. This combination empowers TFN to discern critical details both globally and locally within images, significantly enhancing feature extraction and robustness. Additionally, we have successfully integrated DenseNet 201 with TFN, further enhancing our model’s feature extraction capabilities and robustness. In our work, we achieved exceptional results, attaining a maximum accuracy of 94.20% for the insects dataset and a perfect 100% accuracy for the pest dataset. Our contribution to agriculture lies in providing a cost-effective, precise, and robust solution for pest and insect detection, underpinning the sustainability of crop health and the agricultural industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Livestock

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Progress in the Development of Additive Manufacturing Techniques for Infrastructure engineering

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Recent Patents on engineering 2025年第1期19卷 64-71页

作者： T.K, Nagaraja Vadivel, G. Sundara Parvez, Y. Aboobucker Magesh, B. Kumar, T. Ch. Anil Ravikumar, S. Department of Mechanical Engineering JSS Academy of Technical Education JSS Campus Kengeri-Uttrahalli Main Road Bengaluru560091 India E.G.S. Pillay Engineering College Nagapattinam611002 India Department of Mechanical Engineering SNS College of Technology Coimbatore India Department of Civil Engineering PERI Institute of Technology Chennai Mannivakkam600048 India Department of Mechanical Engineering Vignan's Foundation for Science Technology and Research Guntur Dt Andhra Pradesh Vadlamudi522213 India Woxsen School of Architecture and Planning Woxsen University Telangana Hyderabad India

It is a moral duty to act in a way that considers the welfare of both people and the planet. When constructing, two factors should be considered: the sustainability of the development-related workforce and the state of the world after construction. Many experts have achieved notable reforms in the civil infrastructure systems (CIS) sector in the past. However, additive manufacturing (AM) does not seem to be properly understood by the CIS business. This survey examines how all the fundamental components used by AM in CIS, such as metals, cement, and polymers, are utilized. The goal of this patent study is to foster AM innovation, particularly in the CIS, and to provide an overview of AM development from 2011 to 2022. Additionally, the various AM techniques used to construct the aforementioned structures are presented. The audit research suggests that AM might be beneficial in the CIS industry due to the fact that residences, additions, and seats were constructed using this technique. Photos of the constructed structures are also included to enhance the reader's understanding. It is generally assumed that implementing AM tactics in the CIS industry may reduce material consumption, expedite the development process, and enhance employee safety. Due to the limited amount of available research, further investigation into polymer printing and metal printing is recommended. © 2025 Bentham Science Publishers.

关键词： Elastomers

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An Electrified Tramway Wireless Charging System for Rail Transportation Using Dynamic Capacitive Power Transfer With Four Vertical Plates

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IEEE Transactions on Transportation Electrification 2025年第3期11卷 7786-7797页

作者： Kodeeswaran, S. Nandhini Gayathri, M. Kannabhiran, A. Padmanaban, Sanjeevikumar Carbone, Paolo National Institute of Technology Andhra Pradesh Department of Electrical Engineering Andhra Pradesh Tadepalligudem534101 India SASTRA Deemed University School of Electrical and Electronics Engineering Tamil Nadu Thanjavur613401 India University of South-Eastern Norway Department of Electrical Engineering IT and Cybernetic Porsgrunn3918 Norway University of Perugia Department of Engineering Perugia06125 Italy

This article proposes a novel vertical dynamic capacitive power transfer (DCPT) system to enhance the power transfer of a rail transit charging system and improve the CPT performance. The present work suggests a novel CPT-based rail track infrastructure for dynamic charging with vertical plate arrangements consisting of four plates. The four aluminum plates were used to plan the coupling capacitances between the transmitter (ground side) and receiver (vehicle side) ends. To increase the mutual capacitance, a dielectric material was filled in the space between plates on the vehicle side, which also results in improved output power. Six coupling capacitances were formed between the plates, measured by ANSYS Maxwell simulation software. The circuit simplification method reduced the six coupling capacitances to four. The mutual capacitance and self-capacitance values were evaluated for positioning the plates at different distances, and then, the ideal capacitance was identified at 100 mm. The compensation circuit parameters were designed using dynamic circuit modeling, and its performance was evaluated in LTSPICE software. The hardware prototype is developed in the laboratory and operates at a 1-MHz frequency and the output power is obtained as 2.76 kW with a maximum efficiency of 92.6%. © 2015 IEEE.

关键词： Inductive power transmission

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Design and implementation of multi-tasking surveillance rover using IoT 1st

Design and implementation of multi-tasking surveillance rove...

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1st International Conference on Applications of AI in 5G and IOT, ICAAI5GI 2024

作者： Keshav, Krishana Manish Kumar Ranjan, Sahil Raza, Mohammad Department of Electronics and Communication Engineering Noida Institute of Engineering and Technology Greater Noida India

ISBN: (纸本)9781032874036

Multi-purpose surveillance rovers are dynamic technological innovations intended to meet diverse surveillance requirements across security, exploration, disaster management, and environmental monitoring domains. This paper offers an extensive examination of the progress, hurdles, and potential future directions of these rovers. It delves into their pivotal features, functionalities, and applications, as well as emerging technologies influencing their evolution. Furthermore, it examines the impact of these rovers on augmenting situational awareness, data acquisition, and decision-making in crucial contexts. © 2025 the Author(s).

关键词： Environmental monitoring

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The Use of Digital AI-based Tools for Prevention of Workload Injuries - An Intervention Study

The Use of Digital AI-based Tools for Prevention of Workload...

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2024 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2024

作者： Ghodrati, B. Rahimdel, M.J. Hoseinie, S.H. Division of Operation and Maintenance Engineering Luleå University of Technology Sweden Department of Mining Engineering University of Birjand Iran Department of Engineering Isfahan University of Technology Iran

ISBN: (纸本)9798350386097

Work-related injuries, particularly musculoskeletal disorders (MSDs), incur significant costs for companies in terms of sick leave and reduced productivity. Maintaining correct ergonomic posture is crucial to prevent these injuries and mitigate the impact of psychosocial factors. Digital technology plays a vital role in creating efficient and flexible work environments that cater to individual needs. Rather than relying solely on specialists, workers can utilize digital applications to prevent workload and strain injuries. This study investigates the effectiveness of a digital AI-based intervention program aimed at preventing work-related injuries and improving the physical work environment by addressing musculoskeletal disorders caused by incorrect postures. Through interviews with tool users in an industry setting, a web-based prototype application was tested to enhance workplace safety and improve physical health. The application employs digital AI tools to provide real-time feedback to workers. The interviews specifically assess how users evaluate and effectively utilize the tool to enhance working postures and the overall work environment. The study seeks to evaluate the efficacy of the digital AI-based intervention program and gather insights on users' perceptions and utilization of the application. This research has the potential to contribute to a safer and healthier workplace by harnessing the power of technology. The study seeks to evaluate the efficacy of the digital AI-based intervention program and gather insights on users' perceptions and utilization of the application. © 2024 IEEE.

关键词： Ergonomics

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Experimental and DFT simulation of collective dissolution of anode/cathode of Li−ion batteries using a ChCl−PTSA deep eutectic solvent

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Particuology 2025年 103卷 217-231页

作者： Karimi, Saeid Behnajady, Bahram Department of Metallurgy and Materials Engineering Hamedan University of Technology Hamedan65169-13733 Iran Advanced Materials Research Institute Faculty of Materials Engineering Sahand University of Technology Sahand New Town Tabriz*** Iran

In this study, the cumulative dissolution of the anode and cathode (A/C) mixture of Li-ion batteries (LIBs) in a deep eutectic solvent (DES) composed of choline chloride (ChCl) and p-toluenesulfonic acid (PTSA) was evaluated within a temperature range of 40–100 °C and a time range of 20–1440 min. The results showed that Ni, Co, Li, Mn, and Cu metals dissolved with over 90 % efficiency at 100 °C and 1440 min, while Al dissolved at only about 26 % under the same conditions. XRD and SEM-EDS analyses confirmed these findings, with minimum residual compounds of Ni, Co, Li, Mn, or Cu detected. FTIR confirmed ChCl−PTSA DES formation and its after-leaching stability, allowing reuse with minimal changes for sustainable metal recovery. The ChCl–PTSA DES exhibits a symmetric σ−profile (centered at σ = 0 ± 0.2 e/Å2), COSMO-identified nucleophilic/electrophilic regions (+0.214 to −0.158 e/Å2), and Mulliken charges (O: −0.47 to −0.65, Cl: −0.39, H: +0.06 to 0.15). These density functional theory (DFT) simulations highlight charge complementarity, stabilizing the eutectic structure via sulfonic oxygen, chloride, and ammonium group interactions. According to DFT simulation for pure and containing metal ions DES, the ChCl−PTSA exhibits a 3.87 eV HOMO−LUMO gap, enabling efficient metal leaching. Co(II) (2.29 eV gap) and Mn(II) (0.56 eV) show higher stability than higher oxidation states, while Li(I) widens the gap (3.97 eV), enhancing stability. DFT simulations reveal distinct COSMO surface charge distributions for metal ions in ChCl–PTSA, categorized as: (1) highly polarized (Co(II): +0.3253 to −0.2158 e/Å2;Mn(II): +0.3769 to −0.2496 e/Å2), exhibiting strong charge separation and high reactivity;(2) moderately polarized (Ni(II): +0.2240 to −0.2061 e/Å2;Al(III): +0.2547 to −0.2192 e/Å2), balancing reactivity and stability;and (3) minimally perturbed (Li(I): +0.2485 to −0.1861 e/Å2;Cu(I): +0.3233 to −0.1876 e/Å2), showing stable charge delocalization. © 2025 Chinese Society of Particu

关键词： Lithium-ion batteries

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Enhancing Animal Intrusion Detection with Raspberry Pi and Fast R-CNN: A Practical Approach for Wildlife Management 8

Enhancing Animal Intrusion Detection with Raspberry Pi and F...

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8th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2024

作者： Kanthimathi, N. Daniel, R. Sheela Krishnan, R. Santhana Prabaharan, J. Samuel Gopikumar, S. Maragatham, V. Sakthi Bannari Amman Institute of Technology Department of Electronics and Communication Engineering Sathyamangalam India Scad College of Engineering and Technology Department of Civil Engineering Cheranmahadevi India Scad College of Engineering and Technology Department of Electronics and Communication Engineering Cheranmahadevi India Francis Xavier Engineering College Department of Civil Engineering Tirunelveli India Vel Tech Rangarajan Dr. Sagunthala R&d Institute of Science and Technology Department of Civil Engineering Chennai Avadi India Einstein College of Engineering Department of Civil Engineering Tirunelveli India

ISBN: (纸本)9798350376425

Effective animal intrusion detection is crucial for protecting agricultural areas, wildlife reserves, and sensitive environments from the adverse effects of wildlife activity. Traditional methods, such as manual surveillance and basic sensor systems, often fail to address these intrusions' complexities and dynamic nature. This paper introduces a novel approach to animal intrusion detection by integrating a Raspberry Pi with a camera module, thermal sensors, and motion sensors processed using a Fast R-CNN model. The system is designed to capture video footage when thermal and motion sensors detect activity, ensuring comprehensive area monitoring. The captured video is processed locally on the Raspberry Pi using a Fast R-CNN model, known for its robust object detection and classification performance. The effectiveness of this approach is evaluated by comparing the Fast R-CNN model with two other popular models: YOLO (You Only Look Once) and SSD (Single Shot MultiBox Detector). The evaluation is conducted across three diverse datasets: Caltech Camera Traps (CCT), ImageNet, and the Open Images Dataset. Results demonstrate that the Fast R-CNN model consistently outperforms YOLO and SSD in all three datasets, achieving superior accuracy, precision, recall, and F1 score. The proposed model's advanced feature extraction capabilities and robust performance in handling various animal sizes and distances make it the most effective choice for real-time animal intrusion detection. © 2024 IEEE.

关键词： Temperature sensors

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AI-Driven Health: A Web App for Enhanced Healthcare Queries and Nutrition Analysis 5

AI-Driven Health: A Web App for Enhanced Healthcare Queries ...

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

作者： Ushashree, P. Naik, Archana Sri, P. Amrutha Sai Geethanjali College of Engineering and Technology Department of Computer Science and Engineering Hyderabad India Nitte Meenakshi Institute of Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798331504403

The AI-Driven Health chat assistant is an innovative healthcare solution that seamlessly integrates technology and care, enabling users to have natural language conversations about symptoms, treatments, and general health inquiries. The chatbot functions as a virtual assistant, enabling users to inquire about medical concerns and obtain clear explanations. The nutrition bot utilizes the advanced capabilities of Google Gemini to analyze food images, offering users comprehensive nutritional information. The proposed system undergoes constant refinement through regular testing and user feedback, guaranteeing a smooth and dependable platform for accessible healthcare interactions. The AI-Driven Health chat assistant strives to enhance the accessibility and comprehensibility of healthcare information, ultimately enhancing a healthier and more informed society. © 2024 IEEE.

关键词： Bot (Internet)

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Introducing high-density growth twins in aluminum alloys by laser surface remelting via templated nucleation of grains

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材料科学技术（英文版） 2025年第10期213卷 315-324页

作者： Chunfeng Ma Qinglong Zhao Xiao Liu Yanjun Li Qichuan Jiang Key Laboratory of Automobile Materials Ministry of Education and School of Materials Science and EngineeringJilin UniversityChangchun 130025PR China Department of Materials Science and Engineering Norwegian University of Science and TechnologyN-7491 TrondheimNorway

It is difficult to generate coherent twin boundaries in bulk Al alloys due to their high intrinsic stacking fault ***,we report a strategy to induce high-density growth twins in aluminum alloys through the heterogeneous nucleation of twinned Al grains on twin-structured TiC nucleants and the preferred growth of twinned dendrites by laser surface remelting of bulk *** solidification structure at the surface shows a mixture of lamellar twinned dendrites with ultra-fine twin boundary spacing(～2 μm),isolated twinned dendrites,and regular *** analysis and finite element method(FEM)sim-ulations have been used to understand the competitive growth between twinned and regular dendrites,and the solidification conditions for the preferred growth of twinned dendrites during laser remelting and subsequent rapid solidification are *** is shown that the reduction in the ratio of temperature gradient G to solidification rate V promotes the formation of lamellar twinned *** primary trunk spacing of lamellar twinned dendrites is refined by the high thermal gradient and solidification *** present work paves a new way to generate high-density growth twins in additive-manufactured Al alloys.

关键词： Heterogeneous nucleation Twinned dendrites Solidification Aluminum alloys

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Control of Solar Photovoltaic Integrated Sensorless PMSM Driven Three-Wheeler Electric Vehicle

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IEEE Transactions on Industry Applications 2025年第3期61卷 4128-4138页

作者： Kumar, Sumit Singh, Bhim Indian Institute of Technology Delhi Department of Electrical Engineering Hauz Khas New Delhi110016 India

This paper presents a solar photovoltaic-integrated, sensorless permanent magnet synchronous motor (PMSM) drive for a 3-wheeler electric vehicle (EV). It also delves into vehicle design, modeling, and energy calculations based on Indian Driving Cycle (IDC). Based on rooftop size, a solar photovoltaic (PV) array is selected and connected to DC link through a boost converter to achieve maximum power using a modified perturbation and observation (P&O) algorithm. Due to cost and reliability concerns, a position sensorless drive is preferred. This study employs an adaptive flux observer (FO) based sensorless technique, designed to eliminate DC offset and to provide harmonics-free flux with a straightforward structure. An adaptive nature of this observer consists of characteristics of multiple filters with adaptive nature, which makes it effective over a wide range of speed. In addition to this, a modified quadrature phase-locked loop (QPLL) is used for rotor position and speed estimation, featuring an adaptive gain-based loop filter to enhance dynamic performance. A comparative performance of presented sensorless technique and dynamics of battery-solar system are discussed and validated with test results. © 1972-2012 IEEE.

关键词： Permanent magnets

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