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8th International Conference on Computational Methods in Structural Dynamics and Earthquake engineering, COMPDYN 2021

作者： Moreno, Ledymar F. de Morais, Marcus V.G. Avila, Suzana M. Graduate Program in Engineering Materials Integrity University of Brasilia Campus of Gama Gama DF 72444-240 Brazil Graduate Program in Engineering Materials Integrity University of Brasilia Campus of Darcy Ribeiro DF 70910-900 Brazil

Modernity and advances in civil design are directed at increasingly tall and slender buildings, adding vibrations to structures that generate discomfort, being necessary to mitigate the amplitudes of vibrations produced by low-frequency excitations, characterized in these buildings. In this sense, for some time, experimental studies have been developed with the objective of investigating low-cost scale models, which allow a more detailed study of this type of phenomenon. In this paper, the experimental validation of a dynamic parameterization of low-frequency periodic base motion, considering one degree of freedom, with a synchronized electrodynamic system and controlled with Arduino microcontroller boards is presented. Developed using a small-scale homemade shake table, the system was applied to case studies as a control system using a simple pendulum. The necessary tools are presented to measure the system's responses over time;the dynamic response of the vibratory system can simulate several excitation frequencies. The results obtained in the proposed experimental tests are feasible, with satisfactory precision. The documented results can support an overview of the trend in the efficiency of vibrating table tests in the study of low-frequency vibration control. © 2021 COMPDYN Proceedings.

关键词： Degrees of freedom (mechanics)

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Multi-Lingual ESG Impact Duration Inference 7

Multi-Lingual ESG Impact Duration Inference

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Joint Workshop of the 7th Financial Technology and Natural Language Processing, 5th Knowledge Discovery from Unstructured Data in Financial Services and 4th Economics and Natural Language Processing, FinNLP-KDF-ECONLP 2024

作者： Chen, Chung-Chi Tseng, Yu-Min Kang, Juyeon Lhuissier, Anaïs Seki, Yohei Lee, Hanwool Day, Min-Yuh Tu, Teng-Tsai Chen, Hsin-Hsi AIST Japan Data Science Degree Program National Taiwan University Academia Sinica Taiwan 3DS Outscale France University of Tsukuba Japan NCSOFT Korea Republic of Graduate Institute of Information Management National Taipei University Taiwan Graduate Institute of International Business National Taipei University Taiwan Department of Computer Science and Information Engineering National Taiwan University Taiwan

ISBN: (纸本)9782493814197

To accurately assess the dynamic impact of a company’s activities on its Environmental, Social, and Governance (ESG) scores, we have initiated a series of shared tasks, named ML-ESG. These tasks adhere to the MSCI guidelines for annotating news articles across various languages. This paper details the third iteration of our series, ML-ESG-3, with a focus on impact duration inference—a task that poses significant challenges in estimating the enduring influence of events, even for human analysts. In ML-ESG-3, we provide datasets in five languages (Chinese, English, French, Korean, and Japanese) and share insights from our experience in compiling such subjective datasets. Additionally, this paper reviews the methodologies proposed by ML-ESG-3 participants and offers a comparative analysis of the models’ performances. Concluding the paper, we introduce the concept for the forthcoming series of shared tasks, namely multi-lingual ESG promise verification, and discuss its potential contributions to the field. © 2024 ELRA Language Resource Association.

关键词： Iterative methods

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Low-cost Embedded System Applied to Data Processing and Indicator Generation of Motor Vehicles 15

Low-cost Embedded System Applied to Data Processing and Indi...

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15th IEEE International Conference on Industry Applications, INDUSCON 2023

作者： Lisboa, Kevin L. Castro, Gabriel G.R. Bastos, Adriana F.V. Pinto, Milena F. Federal Center for Technological Education Celso Suckow da Fonseca - CEFET/RJ Electrical Engineering Graduate Program RJ Rio de Janeiro Brazil Federal Institute of Pernambuco PE Campus Cabo de Santo Agostinho Brazil

ISBN: (纸本)9798350314182

The performance of different automotive vehicles can be compared based on measurements of their real conditions parameters recorded over time, such as position, acceleration, battery consumption, engine speed, fuel type, transmission, odometry, and engine cooling temperature, among others. These parameters are essential for a true picture of the cars' situation, helping to reduce maintenance, e.g., fuel waste, toxic gas emissions, and predictive maintenance. It is important to note that in the literature, several pieces of equipment are inserted in the vehicle's network and exported information to the user online. However, products that access vehicle data and store it for an extended period are not easily available on the market. In most cases, the user only has access to products that show the vehicle's data while the device is connected. When the car is turned off, the data is lost. This work presents a product that fills these gaps, giving the owner a long-term history of the vehicle's information, showing it as easy to understand on a developed interface, and using accessible products to build the device. The tests indicated the product's effectiveness in getting long-term vehicle data for more than a month only using 1% of its storage capacity. For last, research contemplating 1000 possible customers was also implemented to validate product price and interest on the market. © 2023 IEEE.

关键词： Automotive Systems Electronic device Performance parameters Sensors

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Development and demonstration of a prototype system for the early detection of drowning

Development and demonstration of a prototype system for the ...

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2022 International Electrical engineering Congress, iEECON 2022

作者： Konishi, Nagato Ishigaki, Yo Nakada, Tsubasa Nemoto, Wataru Iinuma, Seizi Hoshino, Taisuke Ohkawara, Kazunori University of Electro-Communications Graduate School of Informatics and Engineering Tokyo Japan Chief Executive Officer Plan I Corporation University of Electro-Communications Bioscience and Technology Program Department of Engineering Science Tokyo Japan

ISBN: (纸本)9781665402064

We have developed a small device that can measure 3-axis acceleration and pressure underwater, and collected data on drowning reactions by asking participants to reproduce the characteristic behavior of drowning. The data collected in this study is expected to aid the early detection of drowning reactions and reduce the number of accidents caused by drowning. © 2022 IEEE.

关键词： Accidents

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Measuring the Adoption of Circular Economy in Manufacturing Companies: the Proposal of the Overall Circularity Effectiveness (OCE) Index

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Circular Economy and Sustainability 2023年第1期3卷 511-534页

作者： Baumer-Cardoso, Marina I. Ashton, Weslynne S. Campos, Lucila M. S. Graduate Program in Production Engineering Universidade Federal de Santa Catarina Campus Universitario Trindade SC Florianópolis 88040-900 Brazil Illinois Institute of Technology Stuart School of Business 565 W Adams St Chicago 60661 IL United States

Circular economy (CE) has emerged as a strong contender for illuminating the path toward sustainability. Although companies are seen as the most important agents of change, the definition of goals and indicators for assessing the adoption of CE at the company level is still in the early phases. A company that wants to contribute to the CE, whether due to the ambition of the stakeholders or legal requirements, needs to understand what is really within its responsibilities and sphere of influence. However, measuring and evaluating the performance of circularity is still not a common practice in companies. In this context, this paper presents the development of the Overall Circularity Effectiveness (OCE) index to assess the circularity level of manufacturing companies by analyzing inputs and outputs. The index was developed following the design research methodology (DRM) with interactions between theory and practice, based on literature review, survey with companies, development, testing, and evaluation with companies. The paper also presents an application of the proposed index into a case study and discusses its usability and usefulness, comparing it with the existing company-level CE measurement approaches. The OCE was constructed to be simple to understand, practical to calculate through quantitative measures, relevant to the CE context, and generic to be applied in any type or size of manufacturing company. Although the index was developed to be used by any manufacturing company, it was applied in only four companies and all with material from the technical cycle. © 2022, The Author(s), under exclusive licence to Springer Nature Switzerland AG.

关键词： Circular economy Index Indicator Industry Manufacturing company Measurement

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Exploiting the Line Virtual Structure Formation for Cooperation of Two Mobile Robots

Exploiting the Line Virtual Structure Formation for Cooperat...

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International Conference on Unmanned Aircraft Systems (ICUAS)

作者： Daniel Khede Dourado Vilia Mario Sarcinelli-Filho Graduate Program on Electrical Engineering Federal University of Espírito Santo Vitória - ES Brazil

This work explores further the problem of controlling a formation composed by two unmanned aerial vehicles (UAVs), or by a UAV and an unmanned ground vehicle (UGV), using the virtual structure paradigm, having the line connecting the two robots as the virtual structure. An alternative version for characterizing the virtual structure is proposed, and the advantages and drawbacks of this novel framework are discussed. The proposed formation controller generates references for the time variation of the formation variables in the formation space, which are transformed to velocities in the robots space, dynamically compensated using the feedback linearization technique. To validate our proposal experiments are run, considering one quadrotor and one differential drive wheeled mobile robot. The obtained results are presented through illustrations and videos, providing examples of the advantages of the proposed formation characterization.

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Experimentation of Integrating Roadmapping and Sci-Fi Prototyping Methods

Experimentation of Integrating Roadmapping and Sci-Fi Protot...

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2024 Portland International Conference on Management of engineering and Technology, PICMET 2024

作者： Nishinaka, Miwa Shirahada, Kunio Kishita, Yusuke Miyamoto, Dohjin Osawa, Hirotaka Kiyokawa, Sachiko Takeda, Hideaki The Graduate School of Management Kagawa University Kagawa Takamatsu Japan Ishikawa Nomi Japan The University of Tokyo Department of Precision Engineering Tokyo Japan Communication in Science and Technology Education and Research Program Hokkaido University Sapporo Japan Keio University Faculty of Science and Technology Kanagawa Yokohama Japan Graduate School of Education The University of Tokyo Tokyo Japan National Institute of Informatics Tokyo Japan

ISBN: (纸本)9781890843458

In 2023, we proposed a hypothetical knowledge management framework that incorporates science fiction prototyping (SFP) into the traditional roadmapping (RM) method to make RM more innovative and create a future beyond what we can currently imagine. Our main objective is to create a new organizational knowledge co-creation method for generating innovative ideas by incorporating humanistic factors utilizing SFP into RM. In the current article, we present the exploratory study we conducted to examine the hypothetical framework. Experimental workshops were held in November 2023 to compare the integrated method, in which SFP is applied to RM, with the original RM method. We followed a crossover design in the workshops and analyzed the results qualitatively and quantitatively following the perspectives proposed in the hypothetical framework. The qualitative analysis revealed successful integration regarding diverse and broader perspectives. The quantitative analysis utilizing Wilcoxon signed rank tests showed that the scores of the integrated method were significantly higher than those of RM for variables evaluating the effectiveness of the integration, while not for variables related to participants' feelings and satisfaction with the workshops, and sustainability. These findings indicate that the integration was successful in terms of its effectiveness as a method, while participants' subjective feelings toward the workshops were not different in both methods. As for sustainability, which requires a long-term perspective, no apparent differences were observed in these short-term workshops. © 2024 PICMET.

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A Conceptual Framework for Blockchain-based Cannabis Traceability in Supply Chain Management in an Emerging Country

A Conceptual Framework for Blockchain-based Cannabis Traceab...

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2022 IEEE International Conference on Industrial engineering and engineering Management, IEEM 2022

作者： Nowvaratkoolchai, P. Thawesaengskulthai, N. Viriyasitavat, W. Chulalongkorn University Technopreneurship and Innovation Management Program Graduate School Thailand Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Thailand Chulalongkorn University Chulalongkorn Business School Department of Commerce Thailand

ISBN: (数字)9781665486873

ISBN: (纸本)9781665486873

The cannabis industry is facing challenges with the traceability of product standards and regulations, including lack of trust, visibility, and tracking system immutability. Blockchain technology (BCT) is a potential driver of cannabis supply chain traceability for improving the tracking system process, credibility, immutability, and decentralized application of the development process. This research focuses on exploring blockchain-based traceability in supply chain management (SCM) and developing an appropriate model. The findings of this study highlight the various elements involved in cannabis supply chain traceability. A conceptual framework for blockchain-based cannabis traceability in SCM is proposed in this paper, comprising four layers: (I) cannabis supply chain, (II) data interface, (III) traceability system, and (IV) blockchain. This approach can be integrated into the smart contract, consensus algorithm, blockchain application, and digital storage. © 2022 IEEE.

关键词： Blockchain

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Assessing the Performance of Machine Learning Algorithms for Water Level Prediction in the Chao Phraya River and its Tributaries: A Focus on Low and High Water Levels

SSRN

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SSRN 2024年

作者： Priyasiri, Wilmat D.S.M. Rittima, Areeya Kraisangka, Jidapa Sawangphol, Wudhichart Phankamolsil, Yutthana Talaluxmana, Yutthana Graduate Program in Environmental and Water Resources Engineering Department of Civil and Environmental Engineering Faculty of Engineering Mahidol University Thailand Faculty of Information and Communication Technology Mahidol University Thailand Environmental Engineering and Disaster Management Program Mahidol University Kanchanaburi Campus Thailand Department of Water Resources Engineering Faculty of Engineering Kasetsart University Thailand

High precision of hydrological prediction is crucial for real–time operation of flood and drought risk mitigation and strategic planning. This study assessed the predictive performances of three Machine Learning (ML) algorithms;XGBoost, Random Forest (RF), and Multi–Layer Neural Networks (MLNNs) for water level prediction with a focus on low and high water levels. The one–day and one–week water level prediction models for six key gauged stations along the Chao Phraya River and its major tributaries were accordingly developed. Selecting the combination of input features was carried out and structured in the prediction model at all gauged stations based on the physical river–reservoir system using past water level, rainfall, controlled reservoir outflow, and upstream discharges with different travel times. The statistical evaluation indicated that both XGBoost and RF, the tree–based ML models, with rainfall input robustly outperformed than MLNNs, as it strongly achieved higher R2 from 0.957 to 0.999 for model training and from 0.743 to 0.995 for model testing and lower MAE, MSE, and RMSE values for all prediction scenarios. Among these three ML algorithms applied for daily prediction, RF demonstrated the superior performance for low water level prediction exhibiting the smallest percentage error of overestimating lying between +0.0088% and +0.9380%. XGBoost, RF, and MLNNs, demonstrated acceptable performance level for high water level prediction as it shows small percentage error of both overestimating and underestimating lying between –2.2696% and +1.1587%. Additionally, it can capture the entire testing dataset with high precision than weekly model. © 2024, The Authors. All rights reserved.

关键词： Rain

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Characteristics of a High-impedance Folded Dipole Antenna in the Millimeter Wave Band

Characteristics of a High-impedance Folded Dipole Antenna in...

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2022 IEEE International Workshop on Electromagnetics: Applications and Student Innovation Competition, iWEM 2022

作者： Yamashiro, Koki Takashima, Yoshiki Noguchi, Keisuke Kanazawa Institute of Technology Graduate Program in Electrical Engineering and Electronics Ishikawa Nonoichi Japan Toko Electrical Constriction Chiyoda Tokyo Japan Kanazawa Institute of Technology Electrical and Electronics Engineering Ishikawa Nonoichi Japan

ISBN: (数字)9781665432382

ISBN: (纸本)9781665432382

Rectenna with high rectification efficiency is demanded for wireless power transfer systems. In order to improve rectification efficiency at mm-wave band, we study on high impedance antennas. This paper reports the characteristics of a folded dipole antenna consisting of open-Terminated two strips on an Alumina substrate. We designed the antenna with over 1000Ω at 28 GHz using EM simulator. As results, we obtained input resistance of 1463.7Ω with radiation efficiency of 86.7%. © 2022 IEEE.

关键词： Energy transfer

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