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SEMA: A Site Equipment Management Assistant for Construction Management
Meng-Han Tsai,Cheng-Hsuan Yang,Chen-Hsuan Wang,I-Tung Yang,Shih-Chung Kang 대한토목학회 2022 KSCE JOURNAL OF CIVIL ENGINEERING Vol.26 No.3
Collecting construction equipment information such as the site equipment enter and exit date-time, driver's name, type, and quantity is essential in construction management. Most construction projects use paper to record the equipment access history. However, manual recording is always labour-intensive and time-consuming. Therefore, this research aims to develop an assistant system, Site Equipment Management Assistant (SEMA), to automate the site equipment management processes. With the introduction of image recognition and multiple objects tracking technologies, the proposed system can extract equipment-related information from raw videos. SEMA is designed as a chatbot system that contains three major modules: data acquisition, information extraction, and information delivery. A deep learning-based model was first trained to automatically recognize and track construction equipment passing by the site monitor. Information such as equipment entering and exiting date-time, type, and quantity would be extracted and stored in a database. A chatbot interface was developed for users to obtain data from the database through an intuitive and easy-to-use interface. A system evaluation and usability test were conducted. The results showed that the system could effectively improve the construction equipment management process. SEMA can save 60.7% of users' operation time on obtaining related information.
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Meng-Han Tsai,Cheng-Hsuan Yang,James Yichu Chen,Shih-Chung Kang 대한토목학회 2021 KSCE JOURNAL OF CIVIL ENGINEERING Vol.25 No.2
This research proposes a four-stage consultant framework for applying a chatbot as a data management system. With the advancement of computational power and data storage technology, the increasing amount of data makes the issue of data management difficult to address. Management of a massive amount of data by utilizing chatbots to play the roles of a data manager and a data provider has been extensively studied. Although a chatbot system has been proven to increase the overall efficiency of data management, implementing a chatbot system in a government department remains a challenge, especially in a field with highly complex data. This research presents the authors’ experience of applying a chatbot system in a department of the government of Taiwan for disaster response operations. A four-stage consulting framework comprising 1) existing workflow review, 2) usability evaluation, 3) system improvement, and 4) management plan (EUSM) was thus proposed. After a two-year field test, the authors found that the framework could help the department in clarifying their working process, increase the overall efficiency of the chatbot system, and identify the major issues of introducing the chatbot system.
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Cheng Han Ng,Kai En Chan,Yip Han Chin,Rebecca Wenling Zeng,Pei Chen Tsai,Wen Hui Lim,Darren Jun Hao Tan,Chin Meng Khoo,Lay Hoon Goh,Zheng Jye Ling,Anand Kulkarni,Lung-Yi Loey Mak,Daniel Q Huang,Mark C 대한간학회 2022 Clinical and Molecular Hepatology(대한간학회지) Vol.28 No.3
Background/Aims: Nonalcoholic fatty liver disease (NAFLD) is closely associated with diabetes. The cumulative impact of both diseases synergistically increases risk of adverse events. However, present population analysis is predominantly conducted with reference to non-NAFLD individuals and has not yet examined the impact of prediabetes. Hence, we sought to conduct a retrospective analysis on the impact of diabetic status in NAFLD patients, referencing non-diabetic NAFLD individuals. Methods: Data from the National Health and Nutrition Examination Survey 1999–2018 was used. Hepatic steatosis was defined with United States Fatty Liver Index (US-FLI) and FLI at a cut-off of 30 and 60 respectively, in absence of substantial alcohol use. A multivariate generalized linear model was used for risk ratios of binary outcomes while survival analysis was conducted with Cox regression and Fine Gray model for competing risk. Results: Of 32,234 patients, 28.92% were identified to have NAFLD. 36.04%, 38.32% and 25.63% were non-diabetic, prediabetic and diabetic respectively. Diabetic NAFLD significantly increased risk of cardiovascular disease (CVD), stroke, chronic kidney disease, all-cause and CVD mortality compared to non-diabetic NAFLD. However, prediabetic NAFLD only significantly increased the risk of CVD and did not result in a higher risk of mortality. Conclusions: Given the increased risk of adverse outcomes, this study highlights the importance of regular diabetes screening in NAFLD and adoption of prompt lifestyle modifications to reduce disease progression. Facing high cardiovascular burden, prediabetic and diabetic NAFLD individuals can benefit from early cardiovascular referrals to reduce risk of CVD events and mortality.
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Peter Liu,Albert Y. Chen,Yin-Nan Huang,Jen-Yu Han,Jihn-Sung Lai,Tzong-Hann Wu,Ming-Chang Wen,Meng-Han Tsai,Shih-Chung Kang 국제구조공학회 2014 Smart Structures and Systems, An International Jou Vol.13 No.6
Civil engineers always face the challenge of uncertainty in planning, building, and maintaininginfrastructure. These works rely heavily on a variety of surveying and monitoring techniques. Unmannedaerial vehicles (UAVs) are an effective approach to obtain information from an additional view, andpotentially bring significant benefits to civil engineering. This paper gives an overview of the state of UAVdevelopments and their possible applications in civil engineering. The paper begins with an introduction toUAV hardware, software, and control methodologies. It also reviews the latest developments in technologiesrelated to UAVs, such as control theories, navigation methods, and image processing. Finally, the paperconcludes with a summary of the potential applications of UAV to seismic risk assessment, transportation,disaster response, construction management, surveying and mapping, and flood monitoring and assessment.
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Liu, Peter,Chen, Albert Y.,Huang, Yin-Nan,Han, Jen-Yu,Lai, Jihn-Sung,Kang, Shih-Chung,Wu, Tzong-Hann,Wen, Ming-Chang,Tsai, Meng-Han Techno-Press 2014 Smart Structures and Systems, An International Jou Vol.13 No.6
Civil engineers always face the challenge of uncertainty in planning, building, and maintaining infrastructure. These works rely heavily on a variety of surveying and monitoring techniques. Unmanned aerial vehicles (UAVs) are an effective approach to obtain information from an additional view, and potentially bring significant benefits to civil engineering. This paper gives an overview of the state of UAV developments and their possible applications in civil engineering. The paper begins with an introduction to UAV hardware, software, and control methodologies. It also reviews the latest developments in technologies related to UAVs, such as control theories, navigation methods, and image processing. Finally, the paper concludes with a summary of the potential applications of UAV to seismic risk assessment, transportation, disaster response, construction management, surveying and mapping, and flood monitoring and assessment.
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