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

Monitoring Industrial Zone Activities Through Wavelet Analys...

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International Symposium on Communications and Information Technologies (ISCIT)

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

ISBN: (数字)9798350353952

ISBN: (纸本)9798350353969

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 NO 2 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.

关键词： Wavelet transforms COVID-19 Pandemics Time series analysis Coherence Production Wavelet analysis Air quality Distance measurement Atmospheric waves

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Realizing Global Citizen Solutions for Sustainable Development Goals: A Collaborative engineering Course Between Thai and Japanese Students 23

Realizing Global Citizen Solutions for Sustainable Developme...

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

作者： Sae-Jia, Thanachot Leelawat, Natt Tang, Jing Murakami, Rie Taoka, Yuki Ota, Eri Punyabukkana, Proadpran Chulalonkorn University Faculty of Engineering Department of Environmental Engineering Bangkok Thailand Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan International School of Engineering Chulakongkorn University Faculty of Engineering Bangkok Thailand Global Education Section Center for Entrepreneurship Education Tokyo Institute of Technology Tokyo Japan School of Environment and Society Tokyo Institute of Technology Tokyo Japan Chulalongkorn University Faculty of Engineering Department of Computer Engineering Bangkok Thailand

ISBN: (纸本)9798350353952

One of the problems faced by engineering and science students is focusing solely on technical knowledge while needing more cultural context. In today's interconnected world, addressing global challenges necessitates collaborative efforts from individuals across nations. Accordingly, a joint course between Chulalongkorn University in Thailand and the Tokyo Institute of Technology in Japan has been established. The recent theme of the course, 'Gamification towards Sustainable Development Goals (SDGs),' aimed to foster global citizenship and address SDGs through multicultural collaboration. This study examines the similarities and differences in problem identification between Thai and Japanese student groups participating in the course. Data was collected from discussions, presentations, and group assignments throughout the course. The findings indicate that while both groups share common concerns, such as waste management, language barriers, and transportation issues, their perspectives and proposed solutions are influenced by cultural characteristics. Thai students emphasized infrastructural inadequacies and local traditions, whereas Japanese students focused on efficiency and the impacts of tourism. The study highlights the importance of understanding cultural nuances in collaborative international projects to achieve effective and innovative solutions to global challenges. © 2024 IEEE.

关键词： Sustainable development goals

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An Examination of the Possible Application of Artificial Intelligence Audit Process in Organizations 6

An Examination of the Possible Application of Artificial Int...

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6th International Conference on Cybernetics and Intelligent System, ICORIS 2024

作者： Sardjono, Wahyu Pranata, Dewi Sagita Isamesal, Muhammad Information Systems Management Department BINUS Graduate Program Bina Nusantara University Jakarta11480 Indonesia Cyber Security Studi Program Department of Informatics Faculty of Natural Mathematical & Engineering Sciences King’s College London West Minster WC2R 2LS United Kingdom Management Department Faculty of Economics and Busines Universitas of Airlangga Surabaya10430 Indonesia

ISBN: (纸本)9798331539603

This study investigates how artificial intelligence (AI) can transform audit processes, including how AI can be used in businesses to execute non-technical audit tasks and what effect this will have on those tasks. A qualitative case study methodology is used in the research design to give detailed insights into how AI is being adopted by businesses. This study aims to analyze the aspects that impact AI implementation from the viewpoints of managers, auditors, and other stakeholders. The findings show that artificial intelligence (AI) has a great deal of promise for non-technical audit procedures in businesses. AI can automate tedious jobs, evaluate large data sets to identify hazards and enhance teamwork and communication. These developments may lead to increased productivity, maybe better audit quality, and more effective processes. But there are still difficulties. Data quality is essential to the success of AI integration, and auditors may exhibit bias in favor of human professionals. Careful thought must also be given to ethical issues about transparency and possible job displacement. All things considered, this study adds significant knowledge to both the academic literature and real-world auditing applications. It improves our comprehension of the function of AI in the industry and provides useful information for people involved in information technology development, audit, and legislation. © 2024 IEEE.

关键词： Data quality

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Agent-Based Modeling for Forest Fire Simulation in Chiang Mai, Thailand

Agent-Based Modeling for Forest Fire Simulation in Chiang Ma...

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International Symposium on Communications and Information Technologies (ISCIT)

作者： Teerapat Tappanom Natt Leelawat Kumpol Saengtabtim Jing Tang Risk and Disaster Management Program Graduate School Chulalongkorn University Bangkok Thailand Department of Industrial Engineering Faculty of Engineering Chulalongkorn University Bangkok Thailand Graduate School of System Design and Management Keio University Yokohama Japan Disaster and Risk Management Information Systems Research Unit Chulalongkorn University Bangkok Thailand

ISBN: (数字)9798350353952

ISBN: (纸本)9798350353969

Forest fires have a significant impact on ecosystems and human life, especially in northern Thailand, where Chiang Mai is severely affected. Traditional methods for detecting forest fires have limitations, so there is a need for advanced simulation models. This research uses Agent-Based Modeling (ABM) to develop a forest fire simulation for Chiang Mai. The methodology involves collecting historical data, performing Multiple Regression Analysis, designing the simulation, and testing it. Data from 1998 to 2021, including temperature, relative humidity, wind speed/direction, burn area, and slope, were collected from various sources. Multiple regression analysis identified wind speed as the most significant factor affecting burn area. The forest fire simulation, designed using ZF Wang's spread model and tested with AnyLogic, showed that wind direction and speed are crucial in fire spread. The simulation accurately predicted high-risk areas, helping in proactive planning and response. This study confirms that wind is a critical factor in forest fire spread, providing a valuable tool for fire districts to improve preparedness and management. Future research should focus on refining the model with localized data and integrating real-time detection to improve its accuracy and applicability.

关键词： Temperature distribution Biological system modeling Wind speed Refining Forestry Agent-based modeling Mathematical models Regression analysis Sensors Testing

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Awareness of Disaster Risk and Preparedness: Insights from a Survey of Children and Adults in Thailand 23

Awareness of Disaster Risk and Preparedness: Insights from a...

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

作者： Laosunthara, Ampan Leelawat, Natt Ohashi, Takumi Sararit, Titaya Srivichai, Mongkonkorn Tang, Jing School of Environment and Society Tokyo Institute of Technology Tokyo Japan Chulalongkorn University Faculty of Engineering Department of Industrial Engineering Bangkok Thailand Chulalongkorn University Disaster and Risk Management Information Systems Research Unit Bangkok Thailand Graduate School of System Design and Management Keio University Kanagawa Japan Tokyo Institute of Technology Department of Transdisciplinary Science and Engineering Tokyo Japan Chiangmai University Faculty of Architecture Chiangmai Thailand Rajamangala University of Technology Lanna Faculty of Engineering Department of Civil Engineering Chiangrai Thailand International School of Engineering Chulakongkorn University Faculty of Engineering Bangkok Thailand

ISBN: (纸本)9798350353952

Enhancing disaster awareness and preparedness is crucial for building resilient societies. This study comprehensively assessed the levels of disaster awareness and preparedness among children and adults in Thailand through qualitative and quantitative surveys. Children strongly emphasized the importance of disaster education in school curricula, leveraging multimedia channels for risk communication, and implementing early warning systems. In contrast, adults exhibited a greater understanding of the significance of business continuity and disaster management technologies. These findings revealed disparities in disaster awareness across age groups. The insights from this study suggest age-specific engineering system approaches to information dissemination, contributing to the development of inclusive disaster preparedness strategies that incorporate diverse stakeholder perspectives. Children highlighted the need for practical training on survival skills, accessible disaster communication through SMS alerts, and monitoring systems for timely information dissemination. Adults, on the other hand, placed greater importance on business continuity planning and recognized the usefulness of technologies like satellite imagery for disaster management. By identifying these gaps and areas for improvement, this research provides valuable guidance for tailoring interventions, fostering a culture of preparedness, and harnessing technological solutions that resonate with the needs and concerns of different age cohorts within Thai society. © 2024 IEEE.

关键词： Satellite imagery

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Portfolio Selection and Comparative Portfolio Analysis of Transportation Services, Hotel and Leisure, and Education Subsectors Against Service Sector in the Philippine Market Using Mean-variance Model

Portfolio Selection and Comparative Portfolio Analysis of Tr...

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

作者： Cruz, E.L. Young, M.N. Chuahay, T.N. Prasetyo, Y. Persada, S. Nadilfatin, R. Contreras, M. School of Industrial Engineering and Engineering Management Mapua University Manila Philippines School of Graduate Studies Mapua University Manila Philippines Department of Finance Chung Yuan Christian University Taoyuan City Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institut Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

This paper presents a framework for portfolio selection in the transportation services, hotel and leisure, and education subsectors of the Philippine market using the mean-variance model. Using the service sector and the broader market as benchmarks, this study spans 7,670 test days from January 1, 1993, to December 31, 2022, identifying optimal risk-return factors (RRFs) of 0.4 for transportation, 0.2 for hotel and leisure, and 0.3 for education. Furthermore, the higher percentage allocations the investors are recommended to invest in are International Container Terminal Services, Inc., Waterfront Philippines, Incorporated, and Far Eastern University, Incorporated. Paired t-test results, with p-values below 0.01 and 0.05, indicate these subsectors can outperform the service sector. The study also conducted a comparative analysis with 30-year historical data to crisis periods like the Global Financial Crisis (GFC) and the COVID-19 pandemic, exhibiting distinct performance trends and emphasizing the need for tailored strategies during economic disruptions. The findings of this research may provide an alternative portfolio selection model for investors seeking to optimize their investment portfolios. © 2024 IEEE.

关键词： Leisure

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Mean Variance Portfolio Selection Utilizing Services Subsector’s (Media, Telecommunications, and Information Technology) 30-Year Philippine Stock Exchange Trading Data

Mean Variance Portfolio Selection Utilizing Services Subsect...

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

作者： Salazar, E.D. Young, M.N. Chuahay, T.N. Pratseyo, Y. Persada, S. Nadilfatin, R. Contreras, Myra F. School of Industrial Engineering and Engineering Management Mapúa University Intramuros Philippines School of Graduate Studies Mapúa University Intramuros Philippines Department of Finance Chung Yuan Christian University Taoyuan City Taiwan Department of Industrial Engineering and Management Yuan Ze University Taoyuan City Taiwan International Bachelor Program in Engineering Yuan Ze University Taoyuan City Taiwan Entrepreneurship Business Creation Business School Binus University West Jakarta Indonesia Department of Information Systems Institur Teknologi Sepuluh Nopember Surabaya Indonesia

ISBN: (纸本)9798350386097

The Philippine Stock Exchange (PSE), established in 1927, has significantly evolved, especially since the 1980s with major reforms and technological advancements. This paper analyzes the performance of portfolios in the Media, Telecommunications, and Information Technology sectors listed on the PSE over a 30-year span. Using mean-variance analysis, it evaluates portfolio optimization by balancing risk and return. Drawing on data from 1993 to 2022, the study examines portfolios across various risk-return frontiers (RRFs) and compares the service sector's performance. The results highlight varying portfolio metrics across RRFs, with some showing outperformance and higher RRFs leading to diminishing returns. The study also identifies key companies with significant stock allocations, providing strategic insights for portfolio construction. These findings offer investors guidance on optimizing portfolio strategies within the PSE for better decision-making and investment outcomes. © 2024 IEEE.

关键词： mean-variance theory Philippine stock exchange portfolio selection service sector

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Enhancing Feature Prediction in Image Generation Models via Task Arithmetic

Enhancing Feature Prediction in Image Generation Models via ...

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International Symposium on Soft Computing and Intelligent systems (SCIS)

作者： Muneyuki Unehara Kento Ogata Takashi Yukawa Dept. of Business Administration Hokkaido Musashi Women's University Sapporo Japan graduate school of Information and Management Systems Engineering Nagaoka University of Technology Nagaoka Japan Dept. of Information and Management Systems Engineering Nagaoka University of Technology Nagaoka Japan

ISBN: (数字)9798350373332

ISBN: (纸本)9798350373349

In the task of generating images, various image generation models have been developed. “Stable Diffusion” has garnered significant attention for its ability to generate high-quality derivative images with minimal artifacts. However, developing various derivative models requires extensive trial and error and considerable experience. In this study, we propose three novel methods for the effective development of desired derivative models used in Stable Diffusion. The proposed methods facilitate the creation of new image generation models through “merging” process, making it easier to predict the features of the merged model. The proposed methods extend task arithmetic, which enables parameter operations between models, into the merging process. To achieve this, we propose and utilize the “feature score” using CLIP. In this paper, we conducted experiments on the overall parameter operations using feature scores with five models and specific labels. The experimental results showed that the reflection of features based on the task vector's multiply value acquired results with relatively small prediction errors. The potential of the proposed methods was confirmed.

关键词： Image synthesis Computational modeling Merging Predictive models Diffusion models Reflection Arithmetic

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Optimal Maintenance Policies of Wave-Dissipating Blocks using Cumulative Damage Model 28

Optimal Maintenance Policies of Wave-Dissipating Blocks usin...

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28th ISSAT International Conference on Reliability and Quality in Design, RQD 2023

作者： Dong, Yunlong Nakamura, Takahiro Ito, Kodo Higuchi, Yoshiyuki Department of Social Management Engineering Graduate School of Engineering Tottori University Minami 4-101KoyamaTottori-shi Tottori680–8552 Japan Faculty of Symbiotic Systems Science Fukushima University Kanayagawa 1-ban Fukushima-shi Fukushima960–1296 Japan

ISBN: (纸本)9798986576121

Because the scale is massive, local government maintenance budgets are tight, and the number of skilled maintenance employees is declining, the social infrastructure must be maintained economically and efficiently. For inexpensive and efficient maintenance, optimal policies that take into account the characteristics of social infrastructure maintenance are required. We developed such optimal maintenance strategies using the cumulative damage model and applied them to the solution of a real-world breakwater problem in a port on the Sea of Japan. Although it is well known that the deterioration of breakwaters follows the Weibull distribution, calculating optimal maintenance policies is difficult because maintenance models contain Stieltjes convolutions of functions. The approximation formula of convolution of the Weibull distribution is used to solve this problem, and the optimum policies are achieved. We can prove that the actual policies which are implemented by local governments are reasonable by comparing them with mathematical calculated results. © RQD 2023. All rights *** right reserved.

关键词： Convolution

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Association of the Factors Affecting Risk Score in HIRADC Form of a Thermal Power Plant 24

Association of the Factors Affecting Risk Score in HIRADC Fo...

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6th International Conference on management Science and Industrial engineering, MSIE 2024

作者： Uayan, Christian Jay A. Prasetyo, Yogi Tri Novendah, Ierenne Ayuwati, Irene Dyah Cahigas, Maela Madel L. Nadlifatin, Reny School of Industrial and Engineering Management Mapúa University 658 Muralla St. Intramuros Manila1002 Philippines School of Graduate Studies Mapúa University 658 Muralla St. Intramuros Manila1002 Philippines International Bachelor Program in Engineering Yuan Ze University 135 Yuan-Tung Road Chung-Li32003 Taiwan Department of Industrial Engineering and Management Yuan Ze University 135 Yuan-Tung Road Chung-Li32003 Taiwan University of Surabaya Surabaya60284 Indonesia School of Industrial Engineering and Engineering Management Mapúa University Manila Philippines Department of Information Systems Institut Teknologi Sepuluh Nopember Kampus ITS Sukolilo Surabaya60111 Indonesia

ISBN: (纸本)9798400717130

In devising an effective Hazard Identification, Risk Assessment and Determining Controls plan of a company, it is crucial to understand the factors that relate with the Inherent and Residual Risks to prioritize the implementation of controls. In this study, the Process Area, Activity, Hazard Category, Inherent Risk Score and Residual Risk Score are brought into Chi-Squared Test to identify which factors are closely associated with Inherent and Residual Risk Scores. Moreover, the factors and range of scores were assessed into categorical level through Phi coefficient analysis. Chi-Squared Test dictates that there is a close relationship between Process Area and the Inherent Risk Score while Activity is closely associated with the Residual Risk Score. Results suggest that the thermal power plant is putting more effort into activities that involve high-level risks especially those that directly affect the environment. © 2024 ACM.

关键词： Thermoelectric power plants

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