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2023 International Conference on Power, Energy and Innovations, ICPEI 2023

作者： Sakulphaisan, Guntinan Son-In, Sirirat Junhuathon, Nitikorn Muankhaw, Theerapol Pathumwan Institute of Technology Faculty of Science and Technology Industrial Technology and Innovation Management Bangkok Thailand Bansomdejchaopraya Rajabhat University Faculty of Engineering and Industrial Technology Electrical Engineering and Automation Control Systems Bangkok Thailand Rajamangala University of Technology Faculty of Engineering Department of Electrical Engineering Thanyaburi Pathumthani Thailand

ISBN: (纸本)9798350344585

This study conducts a comprehensive analysis of optimizing the speed profile of an AE-bus, a critical step in enhancing its operational efficiency. It encompasses three distinct case studies, each targeting specific objectives. The first case emphasizes energy consumption reduction, contributing to overall resource efficiency. The second focuses on eco-conscious speed profiles within predefined travel durations, balancing environmental sustainability and timeliness. The third case prioritizes travel time minimization for streamlined efficiency. Detailed insights into speed adjustments, bus positions, and energy consumption patterns are provided for each case. The findings reveal tailored approaches for energy conservation, speed, and travel time optimization. Additionally, emissions analysis demonstrates that electric buses significantly reduce CO2 emissions compared to conventional NGV buses, showcasing their potential for environmental benefits. © 2023 IEEE.

关键词： Electric buses

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Optimizing Power Consumption in Data Centers Through Intelligent Load Balancing Algorithms 8

Optimizing Power Consumption in Data Centers Through Intelli...

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8th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2024

作者： Cengiz, Korhan Biruni University Department of Electrical-Electronics Engineering Istanbul Turkey University of Jordan Faculty of Information Technology and Systems Jordan

ISBN: (纸本)9798350354423

Efficiently managing energy consumption, optimizing resource allocation, and improving computational performance are crucial objectives in contemporary data processing environments. This paper presents a novel methodology designed to address these challenges effectively. This paper introduces a novel methodology aimed at enhancing energy efficiency, optimizing resource utilization, and improving computational performance in data processing tasks. Through rigorous experimentation and analysis, our approach showcases substantial advancements over existing methods by achieving notable reductions in power consumption, achieving balanced resource allocation, and optimizing response times. The experimental findings underscore the efficacy of our methodology in tackling the intricate challenges inherent in contemporary data processing environments, thereby offering promising prospects for the development of sustainable and scalable computing infrastructures. © 2024 IEEE.

关键词： Computational Performance Data Processing Energy Efficiency Optimization Resource Utilization

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Fracture Properties and Strength Evaluation of Carbon Fiber under Tension-Torsion Loading

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Zairyo/Journal of the Society of Materials Science, Japan 2024年第5期73卷 379-385页

作者： Hashimoto, Mikiyasu Farhanah, Siti Macadre, Arnaud Goda, Koichi Division of Systems and Design Engineering Graduate School of Sciences and Technology for Innovation Yamaguchi University Tokiwadai Ube755-8611 Japan Department of Mechanical Engineering Faculty of Engineering Yamaguchi University Tokiwadai Ube755-8611 Japan Division of Mechanical Engineering Graduate School of Sciences and Technology for Innovation Yamaguchi University Tokiwadai Ube755-8611 Japan

Recently, carbon fiber reinforced plastics (CFRPs) have been used as high-pressure container materials for fuel cell vehicles and other applications. When used as structural components, carbon fibers in a CFRP are subjected to multiaxial loading. As is well known, multiaxial strength and fracture behavior are significantly different from those under uniaxial loading. However, research on the multiaxial strength evaluation of carbon fibers is insufficient. To date, there have been a few reports on studies under tension-torsion loading, but these have hardly clarified the fracture criterion. In this study, the tensile-torsional fracture strengths of PAN-based carbon fibers were obtained by proportional loading tests. As a result, it was found that the tensile strength along the fiber axis decreased largely with increasing shear stress at the fiber surface under tension-torsion loading. The changes in the experimental results were well explained by adding a correction term to Tsai-Hill criterion, the theory for anisotropic materials. Furthermore, since PAN-based carbon fibers showed extreme differences in strength between uniaxial tension and pure torsion, it was finally concluded that the carbon fibers follow the maximum principal stress theory when using normalized stresses. ©2024 The Society of Materials Science, Japan.

关键词： Tensile strength

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Use of robotics to coordinate health and safety on the construction site 41

Use of robotics to coordinate health and safety on the const...

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41st International Symposium on Automation and Robotics in Construction, ISARC 2024

作者： Dornik, Fabian Bartels, Niels Faculty of Process Engineering Energy and Mechanical Systems University of Applied Sciences Köln Germany Faculty of Civil Engineering and Environmental Technology University of Applied Sciences Köln Germany

ISBN: (纸本)9780645832211

The construction industry has the highest number of accidents compared to other sectors of the economy. Minimising the risk of accidents requires compliance with safety standards and constant monitoring by responsible persons. The use of robots for high-risk work can increase safety and prevent accidents on construction sites. On the other hand, the use of robots can create new health risks. Especially the use of UAVs is therefore highly regulated, whereas this is not the case for legged robots. This paper identifies the challenges and opportunities for coordinating health and safety on construction sites with robots. It is based on a literature analysis that looks at the status of the general area of application of robots and health and safety coordination services. Based on the literature analysis, guided workshops were held with various stakeholders (site managers, health and safety coordinators, German employer's liability insurance association (BG Bau), clients and planners). To validate the results, a quantitative survey was conducted. The interviewees believe that robots can assist them with activities on the construction site or take over some of the activities independently. Challenges identified the interviewees were mainly related to purchase costs, acceptance by construction workers an unclear legal framework. The results show that robots should work autonomously. To create synergies, robots should not only coordinate health and safety, but also carry out target-performance comparisons with the building model, produce daily construction reports with photos and take measurements of the trades. © 2024 ISARC. All Rights Reserved.

关键词： Robots

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BIOPHYSICAL SIGNAL PROCESSING FOR AUTOMATIC ANXIETY CLASSIFICATION IN A VIRTUAL REALITY EXPOSURE THERAPY SYSTEM

UPB Scientific Bulletin, Series C: Electrical Engineering an...

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UPB Scientific Bulletin, Series C: Electrical engineering and Computer Science 2024年第2期86卷 73-84页

作者： Jinga, Nicolae Petrescu, Cătălin-Dumitru Mitruț, Oana Moldoveanu, Alin Moldoveanu, Florica Petrescu, Livia Dept. of Computer Science National University of Science and Technology POLITEHNICA Bucharest Romania Dept. of Automatic Control and Systems Engineering National University of Science and Technology POLITEHNICA Bucharest Romania Faculty of Biology University of Bucharest Romania

This paper presents a signal processing framework for automatic anxiety level classification in a virtual reality exposure therapy system. Two types of biophysical data (heart rate and electrodermal activity) were recorded, pre-processed and passed through a feature extraction procedure that provided input for the real-time anxiety level classification algorithm. We showcase the mathematical and engineering techniques behind the procedures and conclude with the challenges encountered in our research and future development ideas. The proposed method provides a good estimate of the level of anxiety while having at the same time a reduced level of complexity, allowing implementation on equipment with limited computing resources. © 2024, Politechnica University of Bucharest. All rights reserved.

关键词： Classification (of information)

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Autonomous Exploration System of Electrical Stimulus Condition for Maturating in vitro Skeletal Muscle Tissue with Bayesian Optimization

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IEEJ Transactions on Sensors and Micromachines 2025年第3期145卷 33-40页

作者： Miyata, Daiki Kasahara, Keitaro Taguchi, Yujin Tokuoka, Yuta Yamada, Takahiro G. Kurashina, Yuta Funahashi, Akira Onoe, Hiroaki Department of Mechanical Engineering Faculty of Science and Technology Keio University 3-14-1 Hiyoshi Kohoku-ku Kanagawa Yokohama223-0061 Japan Department of Biosciences and Informatics Faculty of Science and Technology Keio University 3-14-1 Hiyoshi Kohoku-ku Kanagawa Yokohama223-0061 Japan Division of Advanced Mechanical Systems Engineering Institute of Engineering Tokyo University of Agriculture and Technology 2-24-16 Nakacho Koganei Tokyo184-8588 Japan

This paper describes an autonomous exploration system to optimize electrical stimulation parameters for the maturation of in vitro skeletal muscle tissues with Bayesian optimization. We established a cyclic experimental procedures, where (i) C2C12 myoblasts were cultured under multiple electrical stimulus conditions in parallel to promote the maturation, (ii) the cell maturation levels were scored by microscopic image analysis with immunofluorescence staining, and (iii) each maturation score with electrical stimulus condition were then applied to Bayesian optimization to suggest new experimental stimulus conditions for the next cycle of the C2C12 culture to expect higher maturation scores. We performed this experimental cycle repeatedly and derived the trend of electrical stimulus conditions to obtain high maturation scores. The C2C12 myoblasts cultured under the derived condition were also verified by the increase of myogenic gene expression. We believe that our proposed method could reveal optimal application method for tissue maturation, and would contribute to regenerative medicine or other medical technologies using tissue culture. © 2025 The Institute of Electrical Engineers of Japan.

关键词： Regenerative medicine

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Economic Feasibility of Production Units for Self-Consumption with Storage Batteries to Charge Electric Vehicles: Case Study in the Residential Portuguese Sector 8

Economic Feasibility of Production Units for Self-Consumptio...

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8th International Young Engineers Forum on Electrical and Computer engineering, YEF-ECE 2024

作者： Pinheiro, Rodrigo Pronto, Anabela Goncalves Pina, Joao Murta Universidade NOVA de Lisboa Faculty of Science and Technology Department of Electrical Engineering Caparica Portugal Universidade NOVA de Lisboa Faculty of Science and Technology Centre of Technology and Systems CTS-UNINOVA Caparica Portugal

ISBN: (纸本)9798350387643

The transition to sustainable energy is vital for the responsible use and development of resources, including the integration of renewable energies in residential and industrial sectors and the promotion of electric mobility. These initiatives are essential pillars in achieving the energy and environmental goals defined by the European Union and Portugal. In this paper, a case study was carried out, applied to the residential Portuguese sector, about the economic feasibility of Production Units for Self-Consumption with storage batteries and the possibility of charging electric vehicles. Different scenarios were analyzed: individual self-consumption without storage batteries and individual self-consumption with storage batteries, including two distinct electric vehicles. According to the obtained results, there were significant reductions in energy imports from the electrical grid and, under certain conditions, the economic feasibility of the system was also achieved, which contribute to the sustainable use of resources. © 2024 IEEE.

关键词： Clean energy

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Fabrication of SiC particle dispersed AZ91D magnesium alloy composite by injection molding method and their properties

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Keikinzoku/Journal of Japan Institute of Light Metals 2024年第3期74卷 141-146页

作者： Hideshima, Yasutoshi Maeda, Fumiya Fukuta, Tadao Ozaki, Koichi Graduate School of Computer Science and Systems Engineering Okayama Prefectural University 111 Kuboki Okayama Soja-shi719-1197 Japan Process Technology Development Department Technology Development Division Seiko Epson Co. Suwa-shi Nagano Japan Faculty of Computer Science and Systems Engineering Okayama Prefectural University Okayama Soja-shi Japan

AZ91D magnesium alloy chips were coated with SiC powder using a binder, and injection molding was attempted using SiC powder coated magnesium chips as raw material. The metallurgical structure of the injection molded products showed uniform dispersion of SiC particles in the matrix, and there were no significant defects such as voids at the SiC particle-matrix interface. The hardness and 0.2% proof stress of the injection molded products tended to improve with increasing SiC content, while the elongation decreased with increasing SiC content. The Young's modulus of the injection molded products improved with increasing SiC content. It was confirmed that the specific bending rigidity of the injection molded products also improves due to the significant increase in the Young's modulus, although the addition of SiC leads to an increase in density. © 2024 The Japan Institute of Light Metals.

关键词： Silicon carbide

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METHODS AND TOOLS FOR STRATEGIC ENVIRONMENTAL IMPACT ASSESSMENT (EIA) 24

METHODS AND TOOLS FOR STRATEGIC ENVIRONMENTAL IMPACT ASSESSM...

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24th International Multidisciplinary Scientific Geoconference: Ecology, Economics, Education and Legislation, SGEM 2024

作者： Zyder, Václav Hubáček, Jaroslav Grycz, Ondřej Raszka, Lukáš Faculty of Materials Science and Technology Department of Industrial Systems Management VSB - Technical University of Ostrava Czech Republic Faculty of Economics Department of Systems Engineering VSB Technical University of Ostrava Czech Republic

ISBN: (纸本)9786197603743

The article deals with methods and tools for strategic environmental impact assessment (EIA) in the context of the CEVYKO project, whose facility capacity is 100,000 t/year of processed mixed, separated and bulky municipal waste. Only category O waste (other waste) will be processed. In the introduction, the basic principles and legal framework of EIA are presented, including their importance for sustainability and environmental protection. Subsequently, the specific methods used in the evaluation of projects with a high environmental impact, such as CEVYKO, are described, including risk analysis, impact modeling and evaluation of alternatives. The article also focuses on data collection and analysis tools that enable accurate predictions of environmental impacts and effective mitigation planning. In the conclusion, the results of the EIA for the CEVYKO project are discussed, including the identified key environmental impacts and proposed measures for their minimization. The study highlights the importance of a comprehensive and integrated approach to EIA, which includes all relevant aspects of waste management and contributes to sustainable development. © 2024 International Multidisciplinary Scientific Geoconference. All rights reserved.

关键词： Environmental monitoring

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AttentionPoolMobileNeXt: An automated construction damage detection model based on a new convolutional neural network and deep feature engineering models

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Multimedia Tools and Applications 2025年第4期84卷 1821-1843页

作者： Aydin, Mehmet Barua, Prabal Datta Chadalavada, Sreenivasulu Dogan, Sengul Tuncer, Turker Chakraborty, Subrata Acharya, Rajendra U. Department of Digital Forensics Engineering Technology Faculty Firat University Elazig Turkey University of Southern Queensland Toowoomba Australia School of Engineering University of Southern Queensland Springfield LakesQLD4300 Australia School of Science and Technology Faculty of Science Agriculture Business and Law University of New England ArmidaleNSW2351 Australia Center for Advanced Modelling and Geospatial Information Systems Faculty of Engineering and IT University of Technology Sydney SydneyNSW2007 Australia School of Mathematics Physics and Computing University of Southern Queensland Toowoomba Australia

In 2023, Turkiye faced a series of devastating earthquakes and these earthquakes affected millions of people due to damaged constructions. These earthquakes demonstrated the urgent need for advanced automated damage detection models to help people. This study introduces a novel solution to address this challenge through the AttentionPoolMobileNeXt model, derived from a modified MobileNetV2 architecture. To rigorously evaluate the effectiveness of the model, we meticulously curated a dataset comprising instances of construction damage classified into five distinct classes. Upon applying this dataset to the AttentionPoolMobileNeXt model, we obtained an accuracy of 97%. In this work, we have created a dataset consisting of five distinct damage classes, and achieved 97% test accuracy using our proposed AttentionPoolMobileNeXt model. Additionally, the study extends its impact by introducing the AttentionPoolMobileNeXt-based Deep Feature engineering (DFE) model, further enhancing the classification performance and interpretability of the system. The presented DFE significantly increased the test classification accuracy from 90.17% to 97%, yielding improvement over the baseline model. AttentionPoolMobileNeXt and its DFE counterpart collectively contribute to advancing the state-of-the-art in automated damage detection, offering valuable insights for disaster response and recovery efforts. © The Author(s) 2024.

关键词： Image classification

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