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22 results on '"Xing, Jinding"'

2. Sharing Construction Safety Inspection Experiences and Site-Specific Knowledge through XR-Augmented Visual Assistance

Author

Liu, Pengkun, Xing, Jinding, Xiong, Ruoxin, and Tang, Pingbo

Subjects
Computer Science - Human-Computer Interaction
Abstract

Early identification of on-site hazards is crucial for accident prevention in the construction industry. Currently, the construction industry relies on experienced safety advisors (SAs) to identify site hazards and generate mitigation measures to guide field workers. However, more than half of the site hazards remain unrecognized due to the lack of field experience or site-specific knowledge of some SAs. To address these limitations, this study proposed an Extended Reality (XR)-augmented visual assistance framework, including Virtual Reality (VR) and Augmented Reality (AR), that enables capturing and transferring subconscious inspection strategies between workers or workers/machines for a construction safety inspection. The purpose is to enhance SA's training and real-time situational awareness for identifying on-site hazards while reducing their mental workloads.

Published
2022

3. Toward Integrated Human-machine Intelligence for Civil Engineering: An Interdisciplinary Perspective

Author

Zhang, Cheng, Kim, Jinwoo, Jeon, JungHo, Xing, Jinding, Ahn, Changbum, Tang, Pingbo, and Cai, Hubo

Subjects
Computer Science - Artificial Intelligence, Computer Science - Human-Computer Interaction
Abstract

The purpose of this paper is to examine the opportunities and barriers of Integrated Human-Machine Intelligence (IHMI) in civil engineering. Integrating artificial intelligence's high efficiency and repeatability with humans' adaptability in various contexts can advance timely and reliable decision-making during civil engineering projects and emergencies. Successful cases in other domains, such as biomedical science, healthcare, and transportation, showed the potential of IHMI in data-driven, knowledge-based decision-making in numerous civil engineering applications. However, whether the industry and academia are ready to embrace the era of IHMI and maximize its benefit to the industry is still questionable due to several knowledge gaps. This paper thus calls for future studies in exploring the value, method, and challenges of applying IHMI in civil engineering. Our systematic review of the literature and motivating cases has identified four knowledge gaps in achieving effective IHMI in civil engineering. First, it is unknown what types of tasks in the civil engineering domain can be assisted by AI and to what extent. Second, the interface between human and AI in civil engineering-related tasks need more precise and formal definition. Third, the barriers that impede collecting detailed behavioral data from humans and contextual environments deserve systematic classification and prototyping. Lastly, it is unknown what expected and unexpected impacts will IHMI have on the AEC industry and entrepreneurship. Analyzing these knowledge gaps led to a list of identified research questions. This paper will lay the foundation for identifying relevant studies to form a research roadmap to address the four knowledge gaps identified.

Published
2021

5. Perceptions of Market Competition: What is the Difference between Contractors and Clients?

Author

Xing, Jinding, Ye, Kunhui, Chen, Chen, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Kantola, Jussi Ilari, editor, Nazir, Salman, editor, and Barath, Tibor, editor

Published
2019
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15. Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering

Author

Teizer, Jochen, Schultz, Carl, Jacobsen, Emil L., Johansen, Karsten Winther, Hartmann, Timo, Guyo, Eyosias, Gu, Ming, Song, Yan, Liu, Yu-Shen, Zhang, Hehua, Gao, Ge, Liu, Han, Song, Xiaoyu, Borrmann, André, Sacks, Rafael, Martinez, Jhonattan, Vilgertshofer, Simon, Yeung, Timson, Schlenger, Jonas, Abualdenien, Jimmy, Esser, Sebastian, Zhang, Heng, de Wilde, Pieter, Tian, Wei, Chen, Lu, Wei, Shunning, Li, Shengtao, Rim, Donghyun, Chi, Seokho, Hwang, Jaehyun, Moon, Seonghyeon, Lee, Gitaek, Beetz, Jakob, Werbrouck, Jeroen, Schulz, Oliver, Oraskari, Jyrki, Piesk, Jens, Tomar, Rahul, Gebhardt, Gregor, Valenzuela, Gabriel, Abbasloo, Amin, Geyer, Philipp, Lang, Werner, Margesin, Manuel, Staudt, Johannes, Saluz, Ueli, Chen, Xia, Gibson Jr, George Edward, Boring, Ronald Laurids, Yilmaz, Alper, Tang, Pingbo, Xing, Jinding, Behzadan, Amir, Cheng, Chih-Shen, Nath, Nipun, Fang, Weili, Hu, Ruibo, Liu, Yuhan, Chen, Ke, Dragos, Kosmas, Worm, Mathias, Smarsly, Kay, Kashani, Hamed, Mirzaei, Javad, Amiri, Hossein, Xiong, Guanyu, Li, Haijiang, Gao, Yan, Domer, Bernd, Schatz, Yohann, Blankenbach, Joerg, Martens, Jan, Florez-Perez, Laura, Song, Zhiyuan, Kirchner, Jakob, Reisinger, Julia, Hensel, Michael, Füssl, Josef, Kovacic, Iva, Senk, Valentin, Rasoulzadeh, Shervin, Song, Honghong, Zhu, Xiaofeng, Gavan, Valentin, Kavvada, Olga, Berges, Mario, Akinci, Burcu, Vindel, Elvin, Sharoni, Li Or, Soltani, Mohammad Mostafa, Motamedi, Ali, Shahinmoghadam, Mehrzad, Gentry, Russell, Bermek, Mehmet, Liu, Kaijian, Huang, Kaiyu, Khan, Rehan, Doree, Andre, Miller, Seirgei, Makarov, Denis, Vahdatikhaki, Faridaddin, Koch, Christian, Lai, Jason, Schickert, Martin, Artus, Mathias, Suter, Georg, Ziaee, Amir Abbas, Peng, Cheng, Ke, Ziyi, Huang, Hun, Hall, Daniel M., Bucher, David F., Hammad, Amin, Ghelmani, Ali, Luo, Hanbin, Yaun, Jiameng, Chen, Weiya, Bolourian, Neshat, Wei, Yi, Kim, Daeho, Saffari, Seyedeh Fatemeh, Tohidifar, Ali, Gade, Peter, Chronopoulos, Christos, Harichandran, Aparna, Dawood, Nashwan, Rahimian, Farzad Pour, Elghaish, Faris, Matarneh, Sandra, Wang, Wei, Zhu, Shiyang, Ungureanu, Lucian, Chacón, Roland, Ibrahim, Ahmed, Jensen, Frederik, Esterle, Lukas, Blut, Timothy, Fan, G., Liu, Pengkun, Teizer, Jochen, Schultz, Carl, Jacobsen, Emil L., Johansen, Karsten Winther, Hartmann, Timo, Guyo, Eyosias, Gu, Ming, Song, Yan, Liu, Yu-Shen, Zhang, Hehua, Gao, Ge, Liu, Han, Song, Xiaoyu, Borrmann, André, Sacks, Rafael, Martinez, Jhonattan, Vilgertshofer, Simon, Yeung, Timson, Schlenger, Jonas, Abualdenien, Jimmy, Esser, Sebastian, Zhang, Heng, de Wilde, Pieter, Tian, Wei, Chen, Lu, Wei, Shunning, Li, Shengtao, Rim, Donghyun, Chi, Seokho, Hwang, Jaehyun, Moon, Seonghyeon, Lee, Gitaek, Beetz, Jakob, Werbrouck, Jeroen, Schulz, Oliver, Oraskari, Jyrki, Piesk, Jens, Tomar, Rahul, Gebhardt, Gregor, Valenzuela, Gabriel, Abbasloo, Amin, Geyer, Philipp, Lang, Werner, Margesin, Manuel, Staudt, Johannes, Saluz, Ueli, Chen, Xia, Gibson Jr, George Edward, Boring, Ronald Laurids, Yilmaz, Alper, Tang, Pingbo, Xing, Jinding, Behzadan, Amir, Cheng, Chih-Shen, Nath, Nipun, Fang, Weili, Hu, Ruibo, Liu, Yuhan, Chen, Ke, Dragos, Kosmas, Worm, Mathias, Smarsly, Kay, Kashani, Hamed, Mirzaei, Javad, Amiri, Hossein, Xiong, Guanyu, Li, Haijiang, Gao, Yan, Domer, Bernd, Schatz, Yohann, Blankenbach, Joerg, Martens, Jan, Florez-Perez, Laura, Song, Zhiyuan, Kirchner, Jakob, Reisinger, Julia, Hensel, Michael, Füssl, Josef, Kovacic, Iva, Senk, Valentin, Rasoulzadeh, Shervin, Song, Honghong, Zhu, Xiaofeng, Gavan, Valentin, Kavvada, Olga, Berges, Mario, Akinci, Burcu, Vindel, Elvin, Sharoni, Li Or, Soltani, Mohammad Mostafa, Motamedi, Ali, Shahinmoghadam, Mehrzad, Gentry, Russell, Bermek, Mehmet, Liu, Kaijian, Huang, Kaiyu, Khan, Rehan, Doree, Andre, Miller, Seirgei, Makarov, Denis, Vahdatikhaki, Faridaddin, Koch, Christian, Lai, Jason, Schickert, Martin, Artus, Mathias, Suter, Georg, Ziaee, Amir Abbas, Peng, Cheng, Ke, Ziyi, Huang, Hun, Hall, Daniel M., Bucher, David F., Hammad, Amin, Ghelmani, Ali, Luo, Hanbin, Yaun, Jiameng, Chen, Weiya, Bolourian, Neshat, Wei, Yi, Kim, Daeho, Saffari, Seyedeh Fatemeh, Tohidifar, Ali, Gade, Peter, Chronopoulos, Christos, Harichandran, Aparna, Dawood, Nashwan, Rahimian, Farzad Pour, Elghaish, Faris, Matarneh, Sandra, Wang, Wei, Zhu, Shiyang, Ungureanu, Lucian, Chacón, Roland, Ibrahim, Ahmed, Jensen, Frederik, Esterle, Lukas, Blut, Timothy, Fan, G., and Liu, Pengkun

Abstract

This publication is the Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering from July 6-8, 2022. The EG-ICE International Workshop on Intelligent Computing in Engineering brings together international experts working on the interface between advanced computing and modern engineering challenges. Many engineering tasks require open-world resolution of challenges such as supporting multi-actor collaboration, coping with approximate models, providing effective engineer-computer interaction, search in multi-dimensional solution spaces, accommodating uncertainty, including specialist domain knowledge, performing sensor-data interpretation and dealing with incomplete knowledge. While results from computer science provide much initial support for resolution, adaptation is unavoidable and most importantly, feedback from addressing engineering challenges drives fundamental computer-science research. Competence and knowledge transfer goes both ways. &nbsp

Published
2022

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