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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Butdee, Purinut Mayakul, Theeraya Technology of Information System Management Division Faculty of Engineering Mahidol University Nakhon Pathom Thailand

ISBN: (纸本)9798350362602

—This research studies the critical role of virtual health in addressing contemporary healthcare needs, especially amid the COVID-19 pandemic, and the ongoing efforts to enhance healthcare access and delivery. Utilizing the Enterprise Architecture Framework, the study evaluates telemedicine and virtual health services, highlighting their effectiveness. Expert consensus reveals very high satisfaction across key metrics, including overall acceptability, competitiveness enhancement, effectiveness for one-stop services and telemedicine, universal compatibility, accessibility, and compliance with standards and policies. The findings underscore the numerous benefits of virtual care, such as reducing physical barriers, minimizing restrictions related to time, travel, and costs, and enhancing competitiveness within the medical industry. Implementing the recommended strategies can further improve accessibility, efficiency, and quality of care. Moreover, the integration of advanced technologies like artificial intelligence, remote monitoring, and robust data platforms has significantly boosted personalized medicine, patient-centered care, health literacy, and education, ensuring the population is well-prepared for the digital health era. This research confirms that virtual health services are not only a viable solution for current healthcare challenges but also a transformative approach for the future of healthcare delivery. ©2024 IEEE.

关键词： Electronic health record

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A Case Study of Implementation of Digitalization into Digital Transformation in Clean Energy Hybrid Power Plant 5

A Case Study of Implementation of Digitalization into Digita...

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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Rujipraparat, Phunthawat Kiattisin, Supaporn Technology of Information System Management Division Faculty of Engineering Mahidol University Nakhon Pathom Thailand

ISBN: (纸本)9798350362602

This Paper focused on examining the utilization of digital system architecture in clean energy hybrid power plants, as well as the implementation of digital technology in such power plants. The paper examines three clean energy power plants in the southern area that are now undergoing a transition to Clean Energy Hybrid Power Plant. It is a case study focused on these specific power plants. The data was gathered through interviews with key informants, who were the leaders or executives of the clean hybrid energy generating plant. The paper, however, employed a purposive sample approach to specifically pick the main informants. A comprehensive and organized interview was conducted to collect data to gain a deeper understanding of the transition to a clean hybrid power plant. The information obtained from the interview was organized and classified using the analytic induction technique. ©2024 IEEE.

关键词： Hybrid power

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Analytical Challenges of Quantum and Classical Computing in Thailand: A Comparative Exploration of Machine Learning Through Classification 5

Analytical Challenges of Quantum and Classical Computing in ...

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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Chaipunha, Nuttaphong Panya, Vicha Leelasantitham, Adisorn Technology of Information System Management Division Faculty of Engineering Mahidol University Nakorn Pathom Thailand

ISBN: (纸本)9798350362602

This research explores the integration of classical and quantum machine learning (QML) for classification tasks, focusing on applications in Thailand. We evaluate QML algorithms, including Variational Quantum Classifier (VQC), Quantum Support Vector Classifier (QSVC), and Quantum Neural Network (QNN), against the classical Support Vector Machine (SVM) using the Iris and Wine datasets on IBM's Qiskit platform. Our analysis highlights the trade-offs between accuracy and preprocessing time for quantum encoding, noting that while some QML algorithms achieve high accuracy, their preprocessing times are significantly longer than those of classical SVM. This underscores current limitations in QML for practical classification tasks. However, the study also identifies future opportunities for QML applications in sectors like healthcare, materials science, logistics, and financial modeling in Thailand. This research contributes to the field by providing a comparative analysis of QML and classical algorithms, revealing that QML, despite its high accuracy, is often hindered by lengthy preprocessing. It also emphasizes QML's potential to address specific technological challenges in Thailand. ©2024 IEEE.

关键词： Quantum computers

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Enhancing Cyberbullying Detection on Social Media Using Transformer Models 5

Enhancing Cyberbullying Detection on Social Media Using Tran...

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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Tapaopong, Wachiraporn Charoenphon, Atiphan Raksasri, Jakkapong Samanchuen, Taweesak Technology of Information System Management Division Faculty of Engineering Mahidol University Nakorn Pathom Thailand

ISBN: (纸本)9798350362602

—The proliferation of cyberbullying on social media platforms has led to devastating physical, emotional, and mental consequences for victims, underscoring the need for effective identification and analysis methods. This study leverages Natural Language Processing (NLP) techniques, specifically Transformer models, to enhance cyberbullying detection in harmful social media messages. By employing transfer learning and fine-tuning strategies, we compared the effectiveness of category prediction using five prominent Transformer models: BERT, RoBERTa, ALBERT, DistilBERT, and ConvBERT. Our results demonstrate that DistilBERT outperforms other models, achieving an accuracy of 94.36%, precision of 93.83%, and recall of 93.91% in the 5-Class categorization of cyberbullying severity. This study highlights the significance of automated cyberbullying detection and underscores the potential of NLP techniques in combating the adverse impacts of cyberbullying. The findings of this research have important implications for the development of effective cyberbullying detection systems, which can help mitigate the harmful effects of online harassment. By leveraging the capabilities of DistilBERT, we can create more accurate and efficient systems for detecting and preventing cyberbullying, ultimately contributing to a safer online environment. ©2024 IEEE.

关键词： Phishing

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A Low-Code Platform of Carbon Credit Trading Using Blockchain technology: A Case Study in Nakhon Si Thammarat Province 5

A Low-Code Platform of Carbon Credit Trading Using Blockchai...

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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Pengna, Piyawadee Leelasantitham, Adisorn Sukamongkol, Yod Technology of Information System Management Division Faculty of Engineering Mahidol University Nakhon Pathom Thailand

ISBN: (纸本)9798350362602

Carbon credit is one of the measures within the Emission Trading Scheme (ETS), which serves as a mechanism to offset the amount of greenhouse gases one emits beyond the allocated rights to emit greenhouse gases. Although there are the existed carbon credit trading platforms, this research aimed to study a carbon credit trading prototype platform by using a low code with blockchain technology (BT). The rubber tree data at Nakhon Si Thammarat province in 3 age groups;namely 6-, 14-, and 22-year-old tree were used as the initial input data along with the area size of rubber tree field. After simulating the developed platform, the results show that the carbon content of the projects that have already been purchased can be sold or re-purchased while the contract for the transaction is recorded on the blockchain. Furthermore, the developed low code platform can save the platform's cost and the developing time, moreover, people without IT experience can use this low-code model to develop platforms of interest. ©2024 IEEE.

关键词： Forestry

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Formulating Analytical Governance Frameworks: An Integration of Data and AI Governance Approaches 23

Formulating Analytical Governance Frameworks: An Integration...

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13th International Conference on Advances in information technology, IAIT 2023

作者： Kanying, Thanika Thammaboosadee, Sotarat Chuckpaiwong, Rojjalak Technology of Information System Management Division Faculty of Engineering Mahidol University Thailand

ISBN: (纸本)9798400708497

This study underscores the importance of standard data analytics governance within organizations to leverage the potential of increasing volumes of big data. Even though Thailand has operative frameworks for data governance and AI governance, there lacks a concrete framework specifically for analytics governance. To fill this void, the research utilizes the Data Governance Framework from the Digital Government Development Agency (DGA), the Artificial Intelligence Governance for e-Business and Digital Services from the Electronic Transactions Development Agency (ETDA), and the Data management Capability Assessment Model (DCAM) within the Analytics management section. The design and evaluation of the analytics governance framework are carried out using feedback from experts via a questionnaire. The ultimate objective of this study is to pinpoint the relevant components necessary for formulating an analytics governance framework in organizations in Thailand, which have already implemented data governance. © 2023 Owner/Author.

关键词： AI Governance Analytics Governance Analytics management Data Analytics Data Governance

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A Machine Learning Approach to Identifying Suspicious Tax Evasion Behavior in Public Financial Data 8

A Machine Learning Approach to Identifying Suspicious Tax Ev...

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8th International Conference on Business and Industrial Research, ICBIR 2023

作者： Visitpanya, Narongchai Samanchuen, Taweesak Mahidol University Technology of Information System Management Division Faculty of Engineering Nakorn Pathom Thailand

ISBN: (纸本)9798350399646

The protection of sensitive tax data poses a challenge for data processors seeking to use it freely, particularly in the realm of financial and tax data. Detecting suspicious behavior related to tax evasion in this area requires sophisticated techniques. This paper presents a study on detecting tax evasion behavior using publicly available financial data. The data was obtained from a public source, and machine learning was applied to identify suspicious behavior based on criteria derived from a literature review. Our study yielded a precision of over 97 % using selected supervised models. Future work involves exploring behavior using unsupervised methods, increasing the number of instances using data synthesis techniques, and comparing results with enterprises that are not registered in a stock market as long as the data is legally available. This research provides valuable insights into identifying suspicious tax evasion behavior and can inform the development of improved tax evasion detection systems in the future. © 2023 IEEE.

关键词： Taxation

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STRATEGIC IT DEMAND management for BUSINESS and INNOVATION ORGANIZATION

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Journal of Mobile Multimedia 2022年第6期18卷 1851-1878页

作者： Wongverawatanakul, Ronnasak Leelasantitham, Adisorn Technology of Information System Management Division Faculty of Engineering Mahidol University Thailand

Strategic IT demand plays a crucial role in the success of any business. This process requires an in-depth understanding of the organizational strategy level by senior management and management at various levels. This abstract describes the importance of IT Demand management to the strategic planning of organizations information technology innovations where management at all levels are involved in thinking, analyzing, and deciding every important IT investment that it can contribute to business success. This abstract presents a conceptual model, the relationship between EO and TO strategies, and ITDM processes to meet the needs of Optimization of OP that aims to become Innovation Organizations. This result is obtained through a survey study of 50 companies. Samples were management at different levels as the survey can confirm that the ITDM process is an important part of what management needs to know, understand and it can be used as a decision-making tool in organizations strategic planning as well as it can create a process to become good governance. It can be able to drive and support the IT needs of customers and organizations for the success of the business in the future, truly. Moreover, this concept can be applied in several business areas or industries such as Banking, Energy, Mobile technology, or Telecommunication business. © 2022 River Publishers. All rights reserved.

关键词： Entrepreneurial orientation Innovation organization IT demand Organizational performance Strategic orientation technology orientation

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An electronic double auction of prepaid electricity trading using blockchain technology

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Journal of Mobile Multimedia 2022年第6期18卷 1829-1850页

作者： Wongsamerchue, Thammavich Leelasantitham, Adisorn Technology of Information System Management Division Faculty of Engineering Mahidol University Thailand

Thailand s current energy trading system is an Enhanced Single Buyer (ESB), a market monopoly by a single buyer. It will produce and distribute electricity to service providers in each area, enabling them to distribute services to consumers. In terms of the consumer aspect, it is necessary to purchase electricity from only one seller, and it is not possible to choose the manufacturer independently. Since the price mechanism is not competitive, the market price is mainly determined by a single buyer. Meanwhile, alternative energy power generation technology has progressed. Anyone can become a power producer using wind power or solar energy. People can easily produce electricity to use in their households. Besides, residual energy from use will be sold only to the ESB. However, there is a selling restriction because there is only one buyer. Importantly, Blockchain technology can be applied to enable independent electricity trading. In other words, called peer-To-peer (P2P) trading, the Thai government has policies to promote P2P trading. However, there are not many systems supporting P2P energy trading since P2P trading is still in the beginning stages of the Pilot Project. In this study, the researchers have presented a P2P Power Trading Model using Blockchain technology. This research presents a system with efficiency and simplicity. Also, there are other technology highlights such as IoT, Lora, and Electronic Double Auction. The researcher has designed, implemented, and tested it for actual electrical power trading. It can prove to be traded according to the designed test cases. Importantly, we are truly confident that this research will benefit those interested in developing real-world applications. This research can also be used as an alternative to the traditional power purchase and sale system. © 2022 River Publishers. All rights reserved.

关键词： Electricity trading Electronic double auction Energy trading Ethereum blockchain IoT Lora Wan Micro grid Prepaid

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Factors Influencing the Acceptance of Collaboration Platform for Fleet Maintenance 5

Factors Influencing the Acceptance of Collaboration Platform...

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5th technology Innovation management and engineering Science International Conference, TIMES-iCON 2024

作者： Sa-Nga-Ngam, Prush Athikulrat, Kittichai Muttitanon, Werachart Technology of Information System Management Division Faculty of Engineering Mahidol University Nakhon Pathom Thailand Department of Materials Handling and Logistics Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Faculty of Business Administration and Information Technology Rajamangala University of Technology Tawan-ok Bangkok Thailand

ISBN: (纸本)9798350362602

Maintenance management plays a crucial role in the cost dimension of transportation company. Repair and maintenance expenses constitute a significant portion of overall manageable costs and directly impact the revenue generation of these businesses. Effective maintenance manage management is therefore essential for transportation companies to ensure the constant readiness of their vehicles for transportation tasks. This research aimed to study the factors that influence the acceptance of collaborative fleet maintenance platform by conducting a comprehensive in-depth interview with 3 groups. 1. Transportation company with in-house fleet maintenance units and nationwide transport services 2. Transportation company without in-house fleet maintenance units and nationwide transport services and 3. Truck repair and maintenance service providers which 20 business per groups. Data was collected through semi-structured interviews. The interviews were transcribed verbatim. Data analysis employed thematic analysis, a qualitative data analysis method that identifies patterns and themes within the collected data. The research results demonstrated the factors that influence the acceptance of collaboration platforms for fleet maintenance are price format, data and information, ease of use and perceived usefulness. ©2024 IEEE.

关键词： Costs

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