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Meng-Han Tsai
Department of Civil and Environmental Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan

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Journal article
Published: 13 July 2021 in Sensors
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Facility management platforms are widely used in the facility maintenance phase of the building life cycle. However, a large amount of complex building information affects facility managers’ efficiency and user experience in retrieving specific information on the facility management platform. Therefore, this research aims to develop a conversation-based method to improve the efficiency and user experience of facility management information delivery. The proposed method contains four major modules: decision mechanism, equipment dataset, intent analysis, and knowledge base. A chatbot prototype was developed based on the proposed method. The prototype was then validated through a feasibility test and field test at the Shulin Arts Comprehensive Administration Building in Taiwan. The results showed that the proposed method changes the traditional information delivery between users and the facility management platform. By integrating natural language processing (NLP), building information modelling (BIM), and ontological techniques, the proposed method can increase the efficiency of FM information retrieval.

ACS Style

Kuan-Lin Chen; Meng-Han Tsai. Conversation-Based Information Delivery Method for Facility Management. Sensors 2021, 21, 4771 .

AMA Style

Kuan-Lin Chen, Meng-Han Tsai. Conversation-Based Information Delivery Method for Facility Management. Sensors. 2021; 21 (14):4771.

Chicago/Turabian Style

Kuan-Lin Chen; Meng-Han Tsai. 2021. "Conversation-Based Information Delivery Method for Facility Management." Sensors 21, no. 14: 4771.

Journal article
Published: 12 January 2021 in Sustainability
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This study developed a chatbot to improve the efficiency of government activation of mine safety procedures during natural disasters. Taiwan has a comprehensive governmental system dedicated to responding to frequent natural disasters, and the Bureau of Mines has instituted clear procedures to ensure the delivery of disaster alarms and damage reports. However, the labor- and time-consumption procedures are inefficient. In this study, we propose a system framework for disaster-related information retrieval and immediate notifications to support the execution of mine safety procedures. The framework utilizes instant messaging (IM) applications as the user interface to look up information and send messages to announce the occurrence of disaster events. We evaluated the efficiency of the procedures before and after adopting the system and achieved a time-cost reduction of 55.8 min among three types of disaster events. The study has proven the feasibility of adopting novel techniques for decision-making and assures the improvement of the efficiency and effectiveness of the procedure activation.

ACS Style

Meng-Han Tsai; Hao-Yung Chan; Yi-Lin Chan; Heng-Kuang Shen; Pei-Yi Lin; Ching-Wen Hsu. A Chatbot System to Support Mine Safety Procedures during Natural Disasters. Sustainability 2021, 13, 654 .

AMA Style

Meng-Han Tsai, Hao-Yung Chan, Yi-Lin Chan, Heng-Kuang Shen, Pei-Yi Lin, Ching-Wen Hsu. A Chatbot System to Support Mine Safety Procedures during Natural Disasters. Sustainability. 2021; 13 (2):654.

Chicago/Turabian Style

Meng-Han Tsai; Hao-Yung Chan; Yi-Lin Chan; Heng-Kuang Shen; Pei-Yi Lin; Ching-Wen Hsu. 2021. "A Chatbot System to Support Mine Safety Procedures during Natural Disasters." Sustainability 13, no. 2: 654.

Journal article
Published: 03 January 2021 in Sustainability
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This study aims to develop an automatic data correction system for correcting the public construction data. The unstructured nature of the construction data presents challenges for its management. The different user habits, time-consuming system operation, and long pretraining time all make the data management system full of data in an inconsistent format or even incorrect data. Processing the construction data into a machine-readable format is not only time-consuming but also labor-intensive. Therefore, this study used Taiwan’s public construction data as an example case to develop a natural language processing (NLP) and machine learning-based text classification system, coined as automatic correction system (ACS). The developed system is designed to automatically correct the public construction data, meanwhile improving the efficiency of manual data correction. The ACS has two main features: data correction that converts unstructured data into structured data; a recommendation function that provides users with a recommendation list for manual data correction. For implementation, the developed system was used to correct the data in the public construction cost estimation system (PCCES) in Taiwan. We expect that the ACS can improve the accuracy of the data in the public construction database to increase the efficiency of the practitioners in executing projects. The results show that the system can correct 18,511 data points with an accuracy of 76%. Additionally, the system was also validated to reduce the system operation time by 51.69%.

ACS Style

Meng-Lin Yu; Meng-Han Tsai. ACS: Construction Data Auto-Correction System—Taiwan Public Construction Data Example. Sustainability 2021, 13, 362 .

AMA Style

Meng-Lin Yu, Meng-Han Tsai. ACS: Construction Data Auto-Correction System—Taiwan Public Construction Data Example. Sustainability. 2021; 13 (1):362.

Chicago/Turabian Style

Meng-Lin Yu; Meng-Han Tsai. 2021. "ACS: Construction Data Auto-Correction System—Taiwan Public Construction Data Example." Sustainability 13, no. 1: 362.

Information technology
Published: 11 December 2020 in KSCE Journal of Civil Engineering
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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.

ACS Style

Meng-Han Tsai; Cheng-Hsuan Yang; James Yichu Chen; Shih-Chung Kang. Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study. KSCE Journal of Civil Engineering 2020, 25, 503 -515.

AMA Style

Meng-Han Tsai, Cheng-Hsuan Yang, James Yichu Chen, Shih-Chung Kang. Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study. KSCE Journal of Civil Engineering. 2020; 25 (2):503-515.

Chicago/Turabian Style

Meng-Han Tsai; Cheng-Hsuan Yang; James Yichu Chen; Shih-Chung Kang. 2020. "Four-Stage Framework for Implementing a Chatbot System in Disaster Emergency Operation Data Management: A Flood Disaster Management Case Study." KSCE Journal of Civil Engineering 25, no. 2: 503-515.

Journal article
Published: 20 June 2020 in Applied Sciences
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This research aims to build a Mandarin named entity recognition (NER) module using transfer learning to facilitate damage information gathering and analysis in disaster management. The hybrid NER approach proposed in this research includes three modules: (1) data augmentation, which constructs a concise data set for disaster management; (2) reference model, which utilizes the bidirectional long short-term memory–conditional random field framework to implement NER; and (3) the augmented model built by integrating the first two modules via cross-domain transfer with disparate label sets. Through the combination of established rules and learned sentence patterns, the hybrid approach performs well in NER tasks for disaster management and recognizes unfamiliar words successfully. This research applied the proposed NER module to disaster management. In the application, we favorably handled the NER tasks of our related work and achieved our desired outcomes. Through proper transfer, the results of this work can be extended to other fields and consequently bring valuable advantages in diverse applications.

ACS Style

Hung-Kai Kung; Chun-Mo Hsieh; Cheng-Yu Ho; Yun-Cheng Tsai; Hao-Yung Chan; Meng-Han Tsai. Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning. Applied Sciences 2020, 10, 4234 .

AMA Style

Hung-Kai Kung, Chun-Mo Hsieh, Cheng-Yu Ho, Yun-Cheng Tsai, Hao-Yung Chan, Meng-Han Tsai. Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning. Applied Sciences. 2020; 10 (12):4234.

Chicago/Turabian Style

Hung-Kai Kung; Chun-Mo Hsieh; Cheng-Yu Ho; Yun-Cheng Tsai; Hao-Yung Chan; Meng-Han Tsai. 2020. "Data-Augmented Hybrid Named Entity Recognition for Disaster Management by Transfer Learning." Applied Sciences 10, no. 12: 4234.

Journal article
Published: 28 May 2020 in Applied Sciences
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A conversation-based system is proposed for supporting assessors in performing existing school building inspections. School building safety is a pressing issue; however, some difficulties in the overall process require solutions or improvements, including the complexity of building inspection tasks, the restrictions posed by the paperwork process, and the ineffectiveness of the management of existing school building inspections. In this study, we developed a conversation-based building inspection support system to reduce such problems, with the proposed system notifying and guiding assessors to complete building inspections, combined with a dashboard for managers to consume reports to determine whether further assessments or retrofits are required. The process of school building inspections was digitalized, with a chatbot implemented that features notifications either according to a routine inspection schedule or postseismic events, a conversation-based interface for guiding nonprofessional assessors, the integration of intuitive activation of inspections after receiving notifications, the use of multimedia to show damage directly without the possibility of mistakes, and data visualization for supporting managerial decision-making to enhance the quality and accuracy of budget allocation.

ACS Style

Meng-Han Tsai; Hao-Yung Chan; Liang-Yuan Liu. Conversation-Based School Building Inspection Support System. Applied Sciences 2020, 10, 3739 .

AMA Style

Meng-Han Tsai, Hao-Yung Chan, Liang-Yuan Liu. Conversation-Based School Building Inspection Support System. Applied Sciences. 2020; 10 (11):3739.

Chicago/Turabian Style

Meng-Han Tsai; Hao-Yung Chan; Liang-Yuan Liu. 2020. "Conversation-Based School Building Inspection Support System." Applied Sciences 10, no. 11: 3739.

Journal article
Published: 04 December 2019 in International Journal of Environmental Research and Public Health
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The potential effect of a typhoon track on the extent of damage makes the track a critical factor during the emergency response phase. Historical typhoon data may provide information for decision makers to anticipate the impact of an upcoming typhoon and develop prevention strategies to reduce the damage. In our preliminary work, we proposed a track similarity algorithm and implemented a real-time search engine for past typhoon events. However, the proposed algorithm was not discussed thoroughly in the preliminary work, and the great number of historical typhoon track records slowed down the similarity calculations. In addition, the tool did not feature the option of automatically importing upcoming typhoon track predictions. This research introduces the assumption of the recentness dominance principle (RDP), explores the details of the track similarity algorithm of the preliminary work, completes the discussion of parameter setting, and developed a method to improve the efficiency of the similarity calculation. In this research, we implemented the proposed advanced methodology by developing a new information display panel featuring the ability to auto-import forecast data. The results of this study provide decision makers and the public with a concise and handy search engine for searching similar historical typhoon records.

ACS Style

Meng-Han Tsai; Hao-Yung Chan; Chun-Mo Hsieh; Cheng-Yu Ho; Hung-Kai Kung; Yun-Cheng Tsai; I-Cheng Cho. Historical Typhoon Search Engine Based on Track Similarity. International Journal of Environmental Research and Public Health 2019, 16, 4879 .

AMA Style

Meng-Han Tsai, Hao-Yung Chan, Chun-Mo Hsieh, Cheng-Yu Ho, Hung-Kai Kung, Yun-Cheng Tsai, I-Cheng Cho. Historical Typhoon Search Engine Based on Track Similarity. International Journal of Environmental Research and Public Health. 2019; 16 (24):4879.

Chicago/Turabian Style

Meng-Han Tsai; Hao-Yung Chan; Chun-Mo Hsieh; Cheng-Yu Ho; Hung-Kai Kung; Yun-Cheng Tsai; I-Cheng Cho. 2019. "Historical Typhoon Search Engine Based on Track Similarity." International Journal of Environmental Research and Public Health 16, no. 24: 4879.

Journal article
Published: 19 November 2019 in International Journal of Disaster Risk Reduction
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This study aims to develop a serious game-based learning package for disaster prevention education. Disaster education is one of the most effective processes in disaster management. However, traditional educational methods are not sufficient for passing on past experience and triggering learner interest. Therefore, serious game-based learning, a more engaging educational method, is a promising direction for disaster prevention education. This study integrated a serious game, Battle of Flooding Protection, and Kolb's Experiential Learning Cycle to develop a learning package that would raise students' level of interest in learning, inspire their self-awareness, and increase their willingness to participate in disaster-related citizen actions. The learning package was implemented in a 67-student class for validation. The results showed that the Battle of Flooding Protection learning package had significant effects on students' disaster prevention skills, interest in learning, self-awareness, and sense of civic responsibility.

ACS Style

Meng-Han Tsai; Yu-Lien Chang; Jen-Shiuan Shiau; Shun-Mei Wang. Exploring the effects of a serious game-based learning package for disaster prevention education: The case of Battle of Flooding Protection. International Journal of Disaster Risk Reduction 2019, 43, 101393 .

AMA Style

Meng-Han Tsai, Yu-Lien Chang, Jen-Shiuan Shiau, Shun-Mei Wang. Exploring the effects of a serious game-based learning package for disaster prevention education: The case of Battle of Flooding Protection. International Journal of Disaster Risk Reduction. 2019; 43 ():101393.

Chicago/Turabian Style

Meng-Han Tsai; Yu-Lien Chang; Jen-Shiuan Shiau; Shun-Mei Wang. 2019. "Exploring the effects of a serious game-based learning package for disaster prevention education: The case of Battle of Flooding Protection." International Journal of Disaster Risk Reduction 43, no. : 101393.

Journal article
Published: 17 October 2019 in Sustainability
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This research proposed a peer review system for the instruction of building information modeling (BIM). With the rapid growth of BIM technology, 3D modeling has become an essential skill for civil engineers. However, it is difficult for an engineer to gain 3D modeling skills through conventional lecture-based learning. The peer review approach has been recently introduced as an educational method and is widely utilized to promote learners’ active learning that is hard to teach using conventional approaches; however, no peer review system has been developed thus far for teaching 3D modeling. Therefore, this research developed a peer review system for 3D modeling courses and proposed guidelines for developing a peer review-based BIM course. Additionally, this study developed a web-based reviewing system, which allows the learner to review others’ works online. The system was implemented in an undergrad-level course for validation. The results revealed that using the peer review system for 3D modeling instruction can help learners to gain more detailed skills; it also allows learners to learn from others’ works. The system can also help the instructor to identify potential mistakes that the students may make while constructing the BIM model and to make continuous improvements for future courses.

ACS Style

Meng-Han Tsai. A Peer Review System for BIM Learning. Sustainability 2019, 11, 5747 .

AMA Style

Meng-Han Tsai. A Peer Review System for BIM Learning. Sustainability. 2019; 11 (20):5747.

Chicago/Turabian Style

Meng-Han Tsai. 2019. "A Peer Review System for BIM Learning." Sustainability 11, no. 20: 5747.

Journal article
Published: 17 October 2019 in Sustainability
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The purpose of this paper was to present a method for developing a project-based online course for building information modeling (BIM) learning. As the development of BIM has gradually increased its influence on the architecture, engineering, and construction (AEC) industries, countries around the world have begun to focus on BIM education and import it into university courses. However, there have been many studies pointing out several problems with the BIM education curriculum. For example, BIM education should not be limited to modeling work, and students do not exactly know the entire BIM workflow. Therefore, this research proposed a project-based online course development method for solving BIM educational issues. The proposed method contains a course development process and guidelines for designing the course. As an example implementation, a five-week Autodesk Revit learning curriculum was developed. Such a curriculum was then utilized in a 32 student class for testing its effectiveness. The results showed that students could understand the BIM process more effectively through the designed project-based course. Additionally, with online video tutorials, students are free to allocate their study time based on their personal needs and adjust their learning progress for better understanding of the course contents.

ACS Style

Meng-Han Tsai; Kuan-Lin Chen; Yu-Lien Chang. Development of a Project-Based Online Course for BIM Learning. Sustainability 2019, 11, 5772 .

AMA Style

Meng-Han Tsai, Kuan-Lin Chen, Yu-Lien Chang. Development of a Project-Based Online Course for BIM Learning. Sustainability. 2019; 11 (20):5772.

Chicago/Turabian Style

Meng-Han Tsai; Kuan-Lin Chen; Yu-Lien Chang. 2019. "Development of a Project-Based Online Course for BIM Learning." Sustainability 11, no. 20: 5772.

Journal article
Published: 09 September 2019 in International Journal of Disaster Risk Reduction
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This research aims to develop a dialogue system for eliminating difficulties encountered in the efficient and accurate utilization of information for decision makers at emergency operation centers (EOC). The rapid growth in the amount of data has caused complications in decision making tasks in disaster management. This has increased the difficulty for decision makers when they try to accomplish their mission accurately and efficiently. In our preliminary work, we attempted to develop a chatbot for decision makers and staff at an EOC to assist them in the utilization, selection, and processing of information efficiently and accurately. A user experience test revealed that a better adaption of the dialogue system to the characteristics of disaster management and the EOC was required. Thus, we specifically focused on the development of a technique of language understanding (LU) to be able to analyze the user's demands. As a solution, we developed a framework for a dialogue system combining question answering features, a knowledge base as the knowledge provider, and a search module that can handle the relatively difficult querying tasks. To improve the performance of the system, we focused on enhancing the capability in understanding users' questions. The construction of the question analysis and knowledge base were both adapted to the characteristics of disaster management. The validation shows that our method can analyze and process the user's questions into a machine-acceptable form with a success rate of approximately 70%.

ACS Style

Hao-Yung Chan; Meng-Han Tsai. Question-answering dialogue system for emergency operations. International Journal of Disaster Risk Reduction 2019, 41, 101313 .

AMA Style

Hao-Yung Chan, Meng-Han Tsai. Question-answering dialogue system for emergency operations. International Journal of Disaster Risk Reduction. 2019; 41 ():101313.

Chicago/Turabian Style

Hao-Yung Chan; Meng-Han Tsai. 2019. "Question-answering dialogue system for emergency operations." International Journal of Disaster Risk Reduction 41, no. : 101313.

Journal article
Published: 30 January 2019 in Water
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This research developed a keyword-based chatbot system, Ask Diana, for water-related disaster management. Disaster management has been considered difficult and tedious due to the complex characteristics of disaster-related data. To deal with this problem, this research developed a chatbot system with a water-related disaster database, a user intent mechanism, and an intuitive mobile-device-based user interface. With such a system, users are able to access important data or information they need for decision making by directly asking the proposed chatbot or operating the image-based menus. The system was validated through a usability test and a six-month field test. The results demonstrated that Ask Diana can help related personnel access disaster data intuitively and develop corresponding response strategies efficiently.

ACS Style

Meng-Han Tsai; James Yichu Chen; Shih-Chung Kang. Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management. Water 2019, 11, 234 .

AMA Style

Meng-Han Tsai, James Yichu Chen, Shih-Chung Kang. Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management. Water. 2019; 11 (2):234.

Chicago/Turabian Style

Meng-Han Tsai; James Yichu Chen; Shih-Chung Kang. 2019. "Ask Diana: A Keyword-Based Chatbot System for Water-Related Disaster Management." Water 11, no. 2: 234.

Journal article
Published: 01 September 2018 in Automation in Construction
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This research develops an unmanned aerial vehicle (UAV) path-planning method that aims to ensure the required image overlap and optimize the flying routes when applying the UAV for digital terrain model's (DTM) reconstruction. To collect images on a terrain for image modeling, enough overlap between each collected image must be ensured. In addition, when planning the optimized flying routes for collecting images on a debris fan, the specifications of the debris fan and the limitations of the UAV should both be taken into consideration. The path planning method takes a debris fan as an example and refers to the specifications of a debris fan and the limitations of the UAV. The developed method can help the operators to ensure the image overlap through dividing the debris fan into cells by the UAV's maximum image collection distance interval. The near-optimized UAV flying paths are calculated though applying a modified ant colony optimization algorithm (ACO). The developed method is validated to be able to help operators to sufficiently use the limited UAV batteries and evaluate the efficiency of the image collection process. A site experiment was also conducted for validating the workability of the developed method. The result of the comparison shows that the path-planning method can reduce 18.5% of the image collection time. It also confirms that applying the method on an actual debris fan can guarantee the required image overlapping and generate a complete DTM without model breaking.

ACS Style

Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang; Chi-Yao Hung. UAV path planning method for digital terrain model reconstruction – A debris fan example. Automation in Construction 2018, 93, 214 -230.

AMA Style

Cheng-Hsuan Yang, Meng-Han Tsai, Shih-Chung Kang, Chi-Yao Hung. UAV path planning method for digital terrain model reconstruction – A debris fan example. Automation in Construction. 2018; 93 ():214-230.

Chicago/Turabian Style

Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang; Chi-Yao Hung. 2018. "UAV path planning method for digital terrain model reconstruction – A debris fan example." Automation in Construction 93, no. : 214-230.

Journal article
Published: 01 July 2018 in Automation in Construction
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Most disaster responses require manual processing to eliminate errors, which is currently handled by the government. Although this process ensures quality of the information, considerable time delays occur. With the rapid development of the Internet and mobile devices, crowd-based platforms have been developed and used for disaster responses. However, three obvious drawbacks exist with crowdsourcing: errors, duplications, and unstructured formats. This study aims to develop a computational method, called the Artificial and Crowd Intelligence (ACI) filter, to overcome these drawbacks. To verify the ACI filter, 876 responses collected from an actual flood that occurred on June 10th, 2012, in Taiwan, were used; 284 volunteers from the Internet were recruited for the testing. The results show that the ACI filter eliminates 26.25% of the responses. The percentage of mistaken validations was 0.00% and the percentage of mistaken eliminations was 3.91%. This demonstrates that the ACI filter, by combining machine and human intelligence, can successfully improve crowd response accuracy.

ACS Style

Wei-Yu Lin; Tzong-Hann Wu; Meng-Han Tsai; Wei-Che Hsu; Yu-Te Chou; Shih-Chung Kang. Filtering disaster responses using crowdsourcing. Automation in Construction 2018, 91, 182 -192.

AMA Style

Wei-Yu Lin, Tzong-Hann Wu, Meng-Han Tsai, Wei-Che Hsu, Yu-Te Chou, Shih-Chung Kang. Filtering disaster responses using crowdsourcing. Automation in Construction. 2018; 91 ():182-192.

Chicago/Turabian Style

Wei-Yu Lin; Tzong-Hann Wu; Meng-Han Tsai; Wei-Che Hsu; Yu-Te Chou; Shih-Chung Kang. 2018. "Filtering disaster responses using crowdsourcing." Automation in Construction 91, no. : 182-192.

Journal article
Published: 01 June 2018 in Automation in Construction
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Site layout planning is a crucial task for enhancing the safety and efficiency of a construction project. However, the locations and the number of on-site objects change constantly during construction. Hence, dynamic site layout planning is difficult without a real-time data acquisition method. Therefore, in this research, we develop a method to rapidly acquire the geometric information, positions, and dimension data of construction objects from on-site cameras and then generate a virtual construction scene. This method contains four steps—projection, duplication, description, and calibration—and it is incorporated in a novel software tool. The first step, projection, establishes a projective model that maps video images to the actual site using cameras. The second step, duplication, quickly determines geometries from the video images of the positions and dimensions of a construction in order to build a 3-D model in a geometric virtual construction. The third step, description, associates the geometric models with corresponding actual objects to establish a virtual construction scene that incorporates the practical knowledge of engineers. The fourth step, calibration, improves the accuracy of the virtual construction for more realistic planning. The developed software tool thus allows engineers to load a video and specify the locations of each filmed object, as well as to specify the properties of the objects. Video images are linked with virtual models via the numerical models created simultaneously from the algorithms in the software tool. In order to verify that our method is feasible, we retrieve closed-circuit television videos from an actual construction site. Using the software, it took users an average of 123.6 s to generate the corresponding virtual construction scene, including three working areas and three on-site objects through the four-step method. Measurements of the dimensions of actual objects and corresponding virtual objects are compared and errors range from 0.2 to 1.2 m. In the fourth step, engineers can use the more accurate, known dimensions of an object to reduce this error to an acceptable range for the needs of a construction site. In summary, the tool we developed allows engineers to re-plan an operation in a semantic virtual construction instead of risking re-planning on the actual site. The tool also has the potential to bring construction simulations closer to reality.

ACS Style

Chin-Wei Liu; Tzong-Hann Wu; Meng-Han Tsai; Shih-Chung Kang. Image-based semantic construction reconstruction. Automation in Construction 2018, 90, 67 -78.

AMA Style

Chin-Wei Liu, Tzong-Hann Wu, Meng-Han Tsai, Shih-Chung Kang. Image-based semantic construction reconstruction. Automation in Construction. 2018; 90 ():67-78.

Chicago/Turabian Style

Chin-Wei Liu; Tzong-Hann Wu; Meng-Han Tsai; Shih-Chung Kang. 2018. "Image-based semantic construction reconstruction." Automation in Construction 90, no. : 67-78.

Journal article
Published: 01 May 2018 in Automation in Construction
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ACS Style

Ming-Chang Wen; Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang. Teleyes: A telepresence system based on stereoscopic vision and head motion tracking. Automation in Construction 2018, 89, 199 -213.

AMA Style

Ming-Chang Wen, Cheng-Hsuan Yang, Meng-Han Tsai, Shih-Chung Kang. Teleyes: A telepresence system based on stereoscopic vision and head motion tracking. Automation in Construction. 2018; 89 ():199-213.

Chicago/Turabian Style

Ming-Chang Wen; Cheng-Hsuan Yang; Meng-Han Tsai; Shih-Chung Kang. 2018. "Teleyes: A telepresence system based on stereoscopic vision and head motion tracking." Automation in Construction 89, no. : 199-213.

Journal article
Published: 24 February 2016 in Visualization in Engineering
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Background Facility management (FM) is an important phase in the building lifecycle. Although building information modeling (BIM) technology has been widely used in the design and construction phase, efforts to transfer information to the FM phase are still in the nascent stage. A good BIM-to-FM tool should be able to inherit and integrate the building information built in the design and construction phase as well as be able to provide a platform for managers to browse the information, discuss potential problems, and arrange maintenance work. Methods In this research, a BIM interactive collaboration system for FM is designed and implemented. Two modules were developed for optimizing the BIM system in the FM phase: the data arrangement module, which has functionalities of data importing and processing, and the data presentation module, which provides functionalities of data revealing and collaboration. Result From the results of an accessibility analysis, we verified that the developed system, V3DM+, can be implemented on real projects. Managers can use V3DM+ to support operation and maintenance of buildings. Moreover, a web-based platform allows users to manage facilities intuitively without investing on professionals or specialized software. Concluding The proposed system, V3DM+, provides a data arrangement module to integrate building information constructed by various types of commercial software and present them in a visual manner. The user can find the required information, initiate a discussion on an issue, or arrange operation and maintenance tasks directly on this system.

ACS Style

Wan-Li Lee; Meng-Han Tsai; Cheng-Hsuan Yang; Jhih-Ren Juang; Jui-Yu Su. V3DM+: BIM interactive collaboration system for facility management. Visualization in Engineering 2016, 4, 1 .

AMA Style

Wan-Li Lee, Meng-Han Tsai, Cheng-Hsuan Yang, Jhih-Ren Juang, Jui-Yu Su. V3DM+: BIM interactive collaboration system for facility management. Visualization in Engineering. 2016; 4 (1):1.

Chicago/Turabian Style

Wan-Li Lee; Meng-Han Tsai; Cheng-Hsuan Yang; Jhih-Ren Juang; Jui-Yu Su. 2016. "V3DM+: BIM interactive collaboration system for facility management." Visualization in Engineering 4, no. 1: 1.

Journal article
Published: 01 November 2015 in Journal of Computing in Civil Engineering
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ACS Style

Tin-Hui Lin; Chao-Hsiang Liu; Meng-Han Tsai; Shih-Chung Kang. Using Augmented Reality in a Multiscreen Environment for Construction Discussion. Journal of Computing in Civil Engineering 2015, 29, 04014088 .

AMA Style

Tin-Hui Lin, Chao-Hsiang Liu, Meng-Han Tsai, Shih-Chung Kang. Using Augmented Reality in a Multiscreen Environment for Construction Discussion. Journal of Computing in Civil Engineering. 2015; 29 (6):04014088.

Chicago/Turabian Style

Tin-Hui Lin; Chao-Hsiang Liu; Meng-Han Tsai; Shih-Chung Kang. 2015. "Using Augmented Reality in a Multiscreen Environment for Construction Discussion." Journal of Computing in Civil Engineering 29, no. 6: 04014088.

Conference paper
Published: 18 June 2015 in Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015)
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I.A.A.R.C. - International Association for Automation and Robotics in Construction Civil Engineering

ACS Style

Er-Xuan Sung; Meng-Han Tsai; Shih-Chung Kang. FloodViz: A Visual-Based Decision Support System for Flood Hazard Warning. Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015) 2015, 1 -8.

AMA Style

Er-Xuan Sung, Meng-Han Tsai, Shih-Chung Kang. FloodViz: A Visual-Based Decision Support System for Flood Hazard Warning. Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015). 2015; ():1-8.

Chicago/Turabian Style

Er-Xuan Sung; Meng-Han Tsai; Shih-Chung Kang. 2015. "FloodViz: A Visual-Based Decision Support System for Flood Hazard Warning." Proceedings of the 32nd International Symposium on Automation and Robotics in Construction and Mining (ISARC 2015) , no. : 1-8.

Journal article
Published: 15 March 2015 in Visualization in Engineering
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Background Taiwan experiences typhoons annually and the heavy rain accompanies a typhoon often causes flooding and damage. Local decision-makers invest heavily in flood-prevention measures thus need to allocate resources wisely to minimize the destruction. As floods periodically cause tremendous damage to lives and property, passing on the learning of previous generations becomes important. Disaster education is therefore critical in the region. However, the current disaster education curriculum follows a traditional education methodology focusing on theoretical and conceptual knowledge and teaching. An alternative methodology is needed to motivate students and to deliver practical experience in disaster education. Method This study adopted a persuasive technology game-initiated-learning (GIL) and developed a Flood Protection game to understanding the following: (1) students’ motivation for learning, (2) their ability to play the game, and (3) their focus on disaster topics. To evaluate their levels of motivation, students’ reactions were analyzed and categorized into four specific expressions: discussion, question, laughter, and screaming. Students’ game playing ability was analyzed and categorized into four stages: explore, aware, fluent, and known. Finally, the content of students’ discussions and questions were analyzed to assess their interest in disaster education. Results Students’ levels of motivation were found to be high (an average of 2.3 instances of discussion, 0.7 instances of question, 1.3 instances of laughter, and 0.8 instances of screaming were observed per minute during the game); their ability to play the game was sufficient (79% of students completed the game having reached the “known” stage); and the content of their discussions and questions was closely related to disaster knowledge (73% of the 256 discussions and questions related closely to flood and disaster knowledge). Conclusions From this research, we find that GIL is a persuasive design in flood protection training. Students with low motivation in conventional learning environments were triggered after playing the game. It enhanced students’ motivation to learn more about flooding. In short, the game does benefit flood disaster education, indicating that a well-designed game may promote students’ motivation in disaster education and cause behavior change.

ACS Style

Meng-Han Tsai; Yu-Lien Chang; Catherine Kao; Shih-Chung Kang. The effectiveness of a flood protection computer game for disaster education. Visualization in Engineering 2015, 3, 9 .

AMA Style

Meng-Han Tsai, Yu-Lien Chang, Catherine Kao, Shih-Chung Kang. The effectiveness of a flood protection computer game for disaster education. Visualization in Engineering. 2015; 3 (1):9.

Chicago/Turabian Style

Meng-Han Tsai; Yu-Lien Chang; Catherine Kao; Shih-Chung Kang. 2015. "The effectiveness of a flood protection computer game for disaster education." Visualization in Engineering 3, no. 1: 9.