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2nd International Symposium on Disaster Resilience and Sustainable Development, 2021

作者： Krutphong, Kodchakorn Tang, Jing Leelawat, Natt Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand International School of Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand

ISBN: (纸本)9789811947148

Risk profile has been utilized in a variety of knowledge fields beyond disaster management or risk management it also plays as the tools in assessment process before the planning both in operation and *** public healthcare system is considered as one of the most critical stakeholders during crises such as disasters and *** risk profile in the public healthcare system requires experts to help developing it according to its *** to a limited number of reviews in the field, this review study focuses on the public healthcare system risk profile’s guideline and development from well-known research *** study also provides the SWOT analysis to realize the strengths, weaknesses, opportunities, and threats of each specific guideline for further *** research results found the ratio of the research in the keywords of the risk profile mostly in the field of medicine and rising number since 2011–*** order to develop the risk profile in such a specific area, it is necessary to use the strength part which suits with the appropriate area. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Risk management

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Creating Mathematical Models to Help Formulate Company Strategies for Knowledge management System Implementation 9

Creating Mathematical Models to Help Formulate Company Strat...

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9th International Conference on Information management and Technology, ICIMTech 2024

作者： Sardjono, Wahyu Perdana, Widhilaga Gia Pranata, Dewi Sagita BINUS Graduate Program Master of Information Systems Management Bina Nusantara University Information Systems Management Department Jakarta11480 Indonesia Post Graduate Program of Management Science State University of Jakarta Jakarta13220 Indonesia King's College London Cyber Security Studi Program Faculty of Natural Mathematical & Engineering Sciences Department of Informatics Strands West MinsterWC2R 2LS United Kingdom

ISBN: (纸本)9798350390025

This research aims to build a mathematical model to formulate the problems of implementing knowledge management systems in companies that often face obstacles in achieving the desired objectives and goals. With increasing competition in the business sector, organizations or organizations realize the importance of utilizing the knowledge assets that reside in each individual and organization. If this knowledge can be managed optimally, it can become a competitive advantage for the company due to the emergence of innovative ideas by the concepts of knowledge management theory. By implementing optimal knowledge management (KM), companies can design innovative solutions to improve business operations and increase overall revenue. The factor analysis method will be used to find the determining factors for the success of the implementation of knowledge management systems (KMS) and the regression analysis method will also be used to form a mathematical model of several new factors which are formed as independent variables with the current level of community understanding of KMS as the dependent variable. The research results provide insight into strategies to improve success factors to successfully facilitate KMS implementation. This study contributes to existing knowledge management by providing insight into dynamics that go beyond the technical aspects of KMS, ultimately developing strategies for more effective and efficient utilization of knowledge and organizational growth and supporting competitive advantage for companies. © 2024 IEEE.

关键词： Knowledge organization system (KOS)

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engineering graduate Students’ Attitudes Towards Social Justice 67th

Engineering Graduate Students’ Attitudes Towards Social Jus...

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67th International Annual Meeting of the Human Factors and Ergonomics Society, HFES 2023

作者： McCallum, Mariah Barlow, Hailey Ma, Jiahui Godwin, Ian McCrory, Bernadette Industrial and Management Systems Engineering Department of Mechanical and Industrial Engineering Montana State University BozemanMT United States

In post-secondary education engineers are not formally introduced to socially just engineering. This education focuses on technical expertise, often overlooking the social impacts of engineering outputs. Using essay prompts graduate school applicants’ views were assessed on social justice. Odds ratios and Chi-Square analyses were used to associate views on social justice and self-perceived programmatic competencies. While applicants were aware of social justice issues, their main reason for applying was to further career goals. Nearly forty percent of essays suggested that engineers are responsible for optimizing systems and mentioned the department’s inclusive design competencies 33 times. Even though most applicants reported interest in management systems, roughly 31.1% of applications advocated for systems thinking to be the primary social justice mechanism. When prompted, 96.2% of respondents reported that engineers should have a professional and ethical responsibility. Increasing exposure to socially just engineering is critical in producing holistically minded engineers. © 2023 Human Factors and Ergonomics Society.

关键词： higher education social responsibility socially just engineering

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Relationship Between Mechanical Deformation and Contact Force Applied by Catheter Tip on Cardiac Muscle: Experimentation and Computer Modeling 5

Relationship Between Mechanical Deformation and Contact Forc...

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5th IEEE Eurasia Conference on Biomedical engineering, Healthcare and Sustainability, ECBIOS 2023

作者： Ijima, Yukako Masnok, Kriengsak Perez, Juan J. Gonzalez-Suarez, Ana Berjano, Enrique Watanabe, Nobuo Master's Program Global Course of Engineering and Science Graduate School of Engineering and Science Shibaura Institute of Technology Saitama Japan Functional Control Systems Graduate School of Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Saitama Japan Universitat Politecnica de Valencia BioMIT Department of Electronic Engineering Valencia Spain School of Engineering University of Galway Translational Medical Device Lab Galway Ireland Functional Control Systems Graduate School of Engineering and Science College of Systems Engineering and Science Shibaura Institute of Technology Biofluid Science and Engineering Laboratory Department of Bio-Science and Engineering Saitama Japan

ISBN: (纸本)9798350320978

The cardiac muscle is elastic and deformable. Pushing a catheter in contact with the cardiac muscle surface to conduct focal energy-based ablative therapies, such as RF ablation, requires an adequate electrode-tissue contact surface to transfer the energy to the target site. In this regard, the relationship between the contact force (CF) and the resulting mechanical response is still unclear, in particular, the insertion depth (ID) and the diameter of the surface deformation. The objective of this study was to quantify these relationships using an ex vivo model and a computational model. A rigid bar with a 2.3 mm diameter blunt tip (mimicking a 7Fr standard ablation catheter) was placed at a perpendicular orientation on a fragment of the porcine heart. CF values ranged from 10 to 80g. We used ANSYS to build a Mooney-Rivlig model of 3 parameters based on hyperelastic material and to simulate the same conditions as in the experiments. The experimental results showed a strong linear correlation between CF and insertion depth ID ($\mathrm{R}^{2}=0.97, \mathrm{P} © 2023 IEEE.

关键词： Catheters

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Development of a Loop Animated Full-Color Metasurface Hologram with High Color Reproduction 1

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15th International Conference on Sensing Technology, ICST 2022

作者： Saito, Hiroki Yamaguchi, Masakazu Ikezawa, Satoshi Iwami, Kentaro Department of Mechanical Systems Engineering Graduate School of Engineering Tokyo University of Agriculture and Technology Tokyo Koganei184-8588 Japan

ISBN: (数字)9783031298714

ISBN: (纸本)9783031298707

This study reports a looped full-color holographic movie using dielectric metasurface that exhibits high color reproducibility. Calculations were made to separate the colors in the target image into those represented by the three de-sign wavelengths (443 nm, 532 nm and 633 nm). Then, by reproducing and superimposing their intensity distributions, we succeeded in demonstrating high color reproducibility. Silicon nitride (SiN) was selected as a metasurface mate-rial for its low absorption with a reasonably high refractive index at the visible region. Compared to conventional color holograms made of single-crystal silicon (c-Si), SiN has excellent transparency, although its refractive index is lower than that of c-Si. Therefore, fabrication with a very high aspect ratio is required. This study solves the difficulty and reports the successful color meta-surface hologram cinematic animation. In order to align the viewing angle of the RGB image, the projected images for each component were superimposed by keeping the ratio between the projected wavelength and pixel periods constant. Furthermore, Three-color metasurface holograms were arranged in a square ring to loop the cinematic animation. The average transmittance in each frame image was 84.9%, which was higher than in previous studies. Finally, a loop-moving full-color holographic image consisting of 30 frames was successfully reproduced at a maxi-mum speed of 5 frames per second. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

关键词： Color

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Closer through commonality: Enhancing hypergraph contrastive learning with shared groups

Closer through commonality: Enhancing hypergraph contrastive...

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2024 IEEE International Conference on Big Data, BigData 2024

作者： Roh, Daeyoung Han, Donghee Kim, Daehee Han, Keejun Yi, Mun Kaist Graduate School of Data Science Korea Republic of Hansung University School of Computer Engineering Korea Republic of Kaist Department of Industrial and Systems Engineering Korea Republic of

ISBN: (纸本)9798350362480

Hypergraphs provide a superior modeling frame-work for representing complex multidimensional relationships in the context of real-world interactions that often occur in groups, overcoming the limitations of traditional homogeneous graphs. However, there have been few studies on hypergraph-based contrastive learning, and existing graph-based contrastive learning methods have not been able to fully exploit the high-order correlation information in hypergraphs. Here, we propose a Hypergraph Fine-grained contrastive learning (HyFi) method designed to exploit the complex high-dimensional information inherent in hypergraphs. While avoiding traditional graph augmentation methods that corrupt the hypergraph topology, the proposed method provides a simple and efficient learning augmentation function by adding noise to node features. Furthermore, we expands beyond the traditional dichotomous relationship between positive and negative samples in contrastive learning by introducing a new relationship of weak positives. It demonstrates the importance of fine-graining positive samples in contrastive learning. Therefore, HyFi is able to produce high-quality embeddings, and outperforms both supervised and unsupervised baselines in average rank on node classification across 10 datasets. Our approach effectively exploits high-dimensional hypergraph information, shows significant improvement over existing graph-based contrastive learning methods, and is efficient in terms of training speed and GPU memory cost. The source code is available at https://***/Noverse0/***. © 2024 IEEE.

关键词： Contrastive Learning

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Nonparametric Probabilistic Prediction of Regional PV Outputs Based on Granule-based Clustering and Direct Optimization programming

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Journal of Modern Power systems and Clean Energy 2023年第5期11卷 1450-1461页

作者： Yonghui Sun Yan Zhou Sen Wang Rabea Jamil Mahfoud Hassan Haes Alhelou George Sideratos Nikos Hatziargyriou Pierluigi Siano College of Energy and Electrical Engineering Hohai UniversityNanjing 210098China College of Water Conservancy and Hydropower Engineering Hohai UniversityNanjing 210098China IEEE Department of Electrical Engineering Tishreen UniversityLatakia 2230Syria National Technical University of Athens Athens 15773Greece Department of Management&Innovation Systems University of SalernoSalerno 84084Italy

Regional photovoltaic(PV) power prediction plays an important role in power system planning and operation. To effectively improve the performance of prediction intervals(PIs) for very short-term regional PV outputs, an efficient nonparametric probabilistic prediction method based on granulebased clustering(GC) and direct optimization programming(DOP) is proposed. First, GC is proposed to formulate and cluster the sample granules consisting of numerical weather prediction(NWP) and historical regional output data, for the enhanced hierarchical clustering performance. Then, to improve the accuracy of samples' utilization, an unbalanced extension is used to reconstruct the training samples consisting of power time series. After that, DOP is applied to quantify the output weights based on the optimal overall performance. Meanwhile, a balance coefficient is studied for the enhanced reliability of PIs. Finally, the proposed method is validated through multistep PIs based on the numerical comparison of real PV generation data.

关键词： Regional photovoltaic output prediction intervals granule-based clustering direct optimization programming nonparametric probabilistic prediction

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Monitoring Industrial Zone Activities Through Wavelet Analysis of Air Quality Time Series Data 23

Monitoring Industrial Zone Activities Through Wavelet Analys...

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23rd International Symposium on Communications and Information Technologies, ISCIT 2024

作者： Kodaka, Akira Leelawat, Natt Kohtake, Naohiko Graduate School of System Design and Management Keio University Kanagawa Japan Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan

ISBN: (纸本)9798350353952

One significant element brought about by the Busi-ness Continuity management System (BCMS) is the operation and maintenance of processes, capabilities, and response struc-tures that allow an organization to overcome interruptions. The outbreak of COVID-19 necessitated a forced change in this system structure. In this study, Rojana Industrial Park in Phra N akhon Si Ayutthaya Province, Thailand was chosen for a study site where the authors have been conducting ongoing research, to understand changes in industrial park activities affected by the pandemic. Wavelet analysis was employed to capture the time series change patterns of atmospheric composition. This approach aims to identify the altered realities of how BCMS adapts to rapid situational changes from a new perspective which is air quality. Comparing the concentration changes of NO2 and PM2.5 between pre-pandemic 2019 and post-pandemic 2021 onward, no significant changes were observed in the relatively short-term industrial park activities ranging from a few days to a week;low coherence in high-frequent change of air quality. In contrast, significant changes were confirmed in the long-term concentration change patterns over 16 days or more;high coherence in low-frequency. This suggests that industrial park activities, including production activities and the movement of people and goods related to these activities, may have changed before and after the pandemic. © 2024 IEEE.

关键词： air quality business continuity management system industrial zone wavelet analysis wavelet coherence

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Rare earth(Gd,La) co-doped ZnO nanoflowers for direct sunlight driven photocatalytic activity

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Journal of Rare Earths 2023年第1期41卷 77-84页

作者： Baskaran Palanivel Romulo R.Macadangdang Jr Md Shahadat Hossain Fahad A.Alharthi Mohanraj Kumar Jih-Hsing Chang Sreedevi Gedi Department of Physics Kings Engineering CollegeSriperumbudurKancheepuram602117TamilnaduIndia Department of Medical Technology Institute of Arts and SciencesFar Eastern UniversityManilaPhilippines Department of Innovation Systems Engineering Graduate School of EngineeringUtsunomiya UniversityYoto 7-1-2Utsunomiya321-8585Japan Chemistry Department College of ScienceKing Saud UniversityRiyadh1145Saudi Arabia Department of Environmental Engineering and Management Chaoyang University of Technology168Jifeng E.Rd.Wufeng DistrictTaichung41349TaiwanChina School of Chemical Engineering Yeungnam UniversityGyeongsan38541Republic of Korea

In this work Gd/La@ZnO nanoflower photocatalyst was successfully synthesized by a co-precipitation method and applied for rhodamine B(Rh B) and tetracycline(TCN) degradation under direct sunlight *** doping of rare earth elements extends the optical absorption wavelength of ZnO from UV region(390 nm) to visible-light region(401 nm).In addition,the co-doped ZnO nanoflower exhibits a lower charge recombination efficiency which was confirmed by photoluminescence emission ***,the co-doped ZnO nanoflower exhibits the maximum degradation efficiency of 91% for Rh B and 74% for TCN under sunlight *** calculated synergistic index of co-doped ZnO is higher than that of the pure *** radicals’ production was confirmed by terephthalic acid(TA) and nitro-blue tetrazolium(NBT) *** holes and hydroxyl(·OH) radicals play the major role in degradation reaction and it was confirmed by scavenger’s ***,the recycling test confirms the stability of the photocatalyst.

关键词： Gd La ZnO Nanoflower Photocatalyst Sunlight

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OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK MODEL FOR TRAFFIC INCIDENT DETECTION 50

OPTIMIZING HYPERPARAMETERS OF AN ARTIFICIAL NEURAL NETWORK M...

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50th International Conference on Computers and Industrial engineering: Sustainable Digital Transformation, CIE 2023

作者： Elsahly, O. Abdelfatah, A. Engineering Systems Management PhD Program American University of Sharjah Sharjah United Arab Emirates Department of Civil Engineering American University of Sharjah Sharjah United Arab Emirates

ISBN: (纸本)9781713886952

This paper discusses the optimization of hyperparameters of the Multilayer Feedforward (MLF) Artificial Neural Network (ANN), for Automatic Incident Detection (AID) within freeway systems. The MLF model was developed and tested using simulated data generated from VISSIM traffic simulation software. The optimized hyperparameters include the number of hidden layers, the size of hidden layers, the learning rate, momentum, error epsilon, and training cycles. To reduce computational time, a stepwise approach was adopted to optimize these hyperparameters. The model's performance was evaluated based on the Fscore, which is the harmonic mean of the recall and precision metrics. This evaluation metric was used because the AID is an imbalanced binary classification problem, where normal instances are the majority class and incident instances are the minority class. The results showed that optimizing the hyperparameters of the MLF model resulted in a 0.79% improvement in the F-score of the model and a 0.32% improvement in the overall accuracy of the model. The near-optimal hyperparameters for the MLF model were determined to be 1 hidden layer with 35 neurons, a learning rate of 0.015, momentum of 0.9, an error epsilon of 1.00E-10, and 1000 training cycles. The study provides insights into optimizing the hyperparameters of ANNs for AID applications in traffic management systems, which can help improve the performance of such systems. The optimized model can be utilized by Traffic management Centres (TMCs) to detect incidents accurately and in a timely manner, thereby reducing the negative impacts of traffic incidents and ensuring safe and efficient travel for drivers. © 2023 Computers and Industrial engineering. All rights reserved.

关键词： Multilayer neural networks

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