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Park, Seonghun / Shin, Minso / Jang, Jun Young / Koo, Bonsang / Kim, Tae Wan (2024): Automated process for generating an air conditioning duct model using the CAD-to-BIM approach. In: Journal of Building Engineering, v. 91 (August 2024).
https://doi.org/10.1016/j.jobe.2024.109529
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Kim, Tae Wan / Hahm, Hyung Gil (2012): 석고를 혼합한 알칼리 활성화 슬래그 모르타르의 특성 (Mechanical Properties of the Alkali-Activated Slag Mortar with Gypsum). In: Journal of the Korea Institute for Structural Maintenance and Inspection (한국구조물진단유지관리공학회 논문집), v. 16, n. 3 (Mai 2012).
https://doi.org/10.11112/jksmi.2012.16.3.109
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Jang, Jun Young / Jeong, Eunbeen / Park, Seong Hun / Koo, ChoongWan / Kim, Tae Wan (2024): Precast concrete project image dataset for deep learning object detection. In: Developments in the Built Environment, v. 17 (März 2024).
https://doi.org/10.1016/j.dibe.2024.100383
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Jeong, Eunbeen / Jang, Junyoung / Lee, Seulbi / Ahn, Seungjun / Kim, Tae Wan (2024): Quantitative Analysis of the Factors Influencing Field Installation Time for Precast Concrete Building Components: An Empirical Study. In: Journal of Management in Engineering (ASCE), v. 40, n. 3 (Mai 2024).
https://doi.org/10.1061/jmenea.meeng-5816
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Cho, Jongwoo / Song, Kwonsik / Kwon, Nahyun / Park, Moonseo / Kim, Tae Wan (2024): Effects of Periodic Materials on Distance Attenuation in Wall–Slab Structures: An Experiment. In: Buildings, v. 14, n. 3 (21 Februar 2024).
https://doi.org/10.3390/buildings14030694
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Kim, Tae Wan / Jang, Jeong Ah / Jeon, Gyoseok / Kim, Junghwa (2024): Investigating Driver Preferences for Traffic Information Using Digital Signage and Road Surface Holograms. In: KSCE Journal of Civil Engineering, v. 28, n. 4 (Januar 2024).
https://doi.org/10.1007/s12205-024-1253-7
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Choi, Yujin / Seo, Seungwon / Lee, Junsoo / Kim, Tae Wan / Koo, ChoongWan (2024): A machine learning-based forecasting model for personal maximum allowable exposure time under extremely hot environments. In: Sustainable Cities and Society, v. 101 (Februar 2024).
https://doi.org/10.1016/j.scs.2023.105140
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Jang, Jun Young / Ahn, Seungjun / Kim, Tae Wan (2023): Cloud-based information system for automated precast concrete transportation planning. In: Automation in Construction, v. 152 (August 2023).
https://doi.org/10.1016/j.autcon.2023.104942
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Kim, Minguk / Ham, Youngjib / Koo, ChoongWan / Kim, Tae Wan (2023): Simulating travel paths of construction site workers via deep reinforcement learning considering their spatial cognition and wayfinding behavior. In: Automation in Construction, v. 147 (März 2023).
https://doi.org/10.1016/j.autcon.2022.104715
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Jang, Jun Young / Kim, Jung In / Koo, ChoongWan / Kim, Tae Wan (2022): Automated Components–Vehicle Allocation Planning for Precast Concrete Projects. In: Journal of Management in Engineering (ASCE), v. 38, n. 6 (November 2022).
https://doi.org/10.1061/(asce)me.1943-5479.0001086
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Lee, Jiyoung / Lee, Junsoo / Kim, Tae Wan / Koo, ChoongWan (2022): EEG-Based Circumplex Model of Affect for Identifying Interindividual Differences in Thermal Comfort. In: Journal of Management in Engineering (ASCE), v. 38, n. 4 (Juli 2022).
https://doi.org/10.1061/(asce)me.1943-5479.0001061
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Lee, Gang Ho / Kim, Jung In / Koo, ChoongWan / Kim, Tae Wan (2022): Automated Generation of Precast Concrete Slab Stacks for Transportation in Offsite Construction Projects. In: Journal of Construction Engineering and Management, v. 148, n. 8 (August 2022).
https://doi.org/10.1061/(asce)co.1943-7862.0002333
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Lee, Jiyoung / Kim, Tae Wan / Lee, Chansik / Koo, ChoongWan (2022): Integrated Approach to Evaluating the Effect of Indoor CO2 Concentration on Human Cognitive Performance and Neural Responses in Office Environment. In: Journal of Management in Engineering (ASCE), v. 38, n. 1 (Januar 2022).
https://doi.org/10.1061/(asce)me.1943-5479.0000993
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Cho, Kyeongwoon / Ahn, Seungjun / Park, Kyungmo / Kim, Tae Wan (2021): Schedule Delay Leading Indicators in Precast Concrete Construction Projects: Qualitative Comparative Analysis of Korean Cases. In: Journal of Management in Engineering (ASCE), v. 37, n. 4 (Juli 2021).
https://doi.org/10.1061/(asce)me.1943-5479.0000915
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Ahn, Seungjun / Crouch, Luke / Kim, Tae Wan / Rameezdeen, Raufdeen (2020): Comparison of Worker Safety Risks between Onsite and Offsite Construction Methods: A Site Management Perspective. In: Journal of Construction Engineering and Management, v. 146, n. 9 (September 2020).
https://doi.org/10.1061/(asce)co.1943-7862.0001890
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Cha, Seung Hyun / Koo, ChoongWan / Kim, Tae Wan / Hong, Taehoon (2019): Spatial perception of ceiling height and type variation in immersive virtual environments. In: Building and Environment, v. 163 (Oktober 2019).
https://doi.org/10.1016/j.buildenv.2019.106285
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Chen, Hao / Cha, Seung Hyun / Kim, Tae Wan (2019): A framework for group activity detection and recognition using smartphone sensors and beacons. In: Building and Environment, v. 158 (Juli 2019).
https://doi.org/10.1016/j.buildenv.2019.05.016
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Yu, Jung-Ho / Jeon, Me-Yeon / Kim, Tae Wan (2015): Fuzzy-based Composite Indicator Development Methodology for Evaluating Overall Project Performance. In: Journal of Civil Engineering and Management, v. 21, n. 3 (Februar 2015).
https://doi.org/10.3846/13923730.2014.890644
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Kim, Tae Wan / Cha, Seung Hyun (2019): Empirical validation of the spatial-choice modelling approach to user simulation. In: Architectural Science Review, v. 62, n. 4 (Juli 2019).
https://doi.org/10.1080/00038628.2019.1625299
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Cha, Seung Hyun / Steemers, Koen / Kim, Tae Wan (2017): Modelling building users' space preferences for group work: a discrete-choice experiment. In: Architectural Science Review, v. 60, n. 6 (Oktober 2017).
https://doi.org/10.1080/00038628.2017.1363706
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Kim, Tae Wan / Cha, Seung Hyun / Kim, Youngchul (2014): A framework for evaluating user involvement methods in architectural, engineering, and construction projects. In: Architectural Science Review, v. 59, n. 2 (Oktober 2014).
https://doi.org/10.1080/00038628.2015.1008397
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Chen, Xingbin / Kim, Tae Wan / Chen, Jiayu / Xue, Bin / Jeong, WoonSeong (2019): Ontology-Based Representations of User Activity and Flexible Space Information: Towards an Automated Space-Use Analysis in Buildings. In: Advances in Civil Engineering, v. 2019 ( 2019).
https://doi.org/10.1155/2019/3690419
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Kim, Tae Wan / Fischer, Martin (2014): Automated Generation of User Activity–Space Pairs in Space-Use Analysis. In: Journal of Construction Engineering and Management, v. 140, n. 5 (Mai 2014).
https://doi.org/10.1061/(asce)co.1943-7862.0000839
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Choi, Jin Ouk / O'Connor, James T. / Kim, Tae Wan (2016): Recipes for Cost and Schedule Successes in Industrial Modular Projects: Qualitative Comparative Analysis. In: Journal of Construction Engineering and Management, v. 142, n. 10 (Oktober 2016).
https://doi.org/10.1061/(asce)co.1943-7862.0001171
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Kim, Tae Wan / Lee, Hyun-Soo / Park, Moonseo / Yu, Jung-Ho (2010): Productivity management methodology using productivity achievement ratio. In: KSCE Journal of Civil Engineering, v. 15, n. 1 (Dezember 2010).
https://doi.org/10.1007/s12205-011-0983-5
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Kim, Tae Wan / Rajagopal, Ram / Fischer, Martin / Kam, Calvin (2013): A knowledge-based framework for automated space-use analysis. In: Automation in Construction, v. 32 (Juli 2013).
https://doi.org/10.1016/j.autcon.2012.08.002
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Kim, Tae Wan / Kim, Youngchul / Cha, Seung Hyun / Fischer, Martin (2015): Automated updating of space design requirements connecting user activities and space types. In: Automation in Construction, v. 50 (Februar 2015).
https://doi.org/10.1016/j.autcon.2014.12.010
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Kim, Tae Wan / Fischer, Martin (2014): Ontology for Representing Building Users' Activities in Space-Use Analysis. In: Journal of Construction Engineering and Management, v. 140, n. 8 (August 2014).
https://doi.org/10.1061/(asce)co.1943-7862.0000881
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Chen, Xing Bin / Kim, Tae Wan (2017): Automated Mapping of User Activities onto Flexible Space in Space-Use Analysis. In: Journal of Construction Engineering and Management, v. 143, n. 8 (August 2017).
https://doi.org/10.1061/(asce)co.1943-7862.0001328
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Cha, Seung Hyun / Steemers, Koen / Kim, Tae Wan (2018): Modeling space preferences for accurate occupancy prediction during the design phase. In: Automation in Construction, v. 93 (September 2018).
https://doi.org/10.1016/j.autcon.2018.05.001