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7. 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

8. An AI-based approach for automated work progress estimation from construction activities using abductive reasoning

Author

Johansen, Karsten Winther, Nielsen, R.O., Teizer, Jochen, Schultz, Carl Peter Leslie, Semenov, Vitaly, and Scherer, Raimar J.

Abstract

Current standard approaches for monitoring site progress for lean construction favor weekly or bi-weekly meetings. All trade and construction site management representatives meet to synchronize the forthcoming schedule. Up-to-date information is often not available, causing poor coordination and resulting in delays, rework and waste of monetary resources. Furthermore, infrequent updates on work performance impact scheduling ofcritical activities. This paper investigates the possibility to automate some tasks in progress monitoring by applying an AI-system with abductive reasoning on real-time localization sensing data (RTLS) and domain expert knowledge. The work proposes a framework, consisting of three modules (data preparation, processing, and update) that utilize abductive reasoning. An experiment was conducted on previously collected data Teizer et al. (2013) to compare progress inferred from the framework with actual progress recorded. The preliminary results indicate the framework is able to reason about progress with high degree of similarity to the paper of Teizer et al. (2013), however, solely based on RTLS data and without any manual input. The future of the framework is promising since it supports the analysis of time series, allowing it to be applied nearly simultaneously to data collection, and thereby significantly increasing the update rate for information.

Published
2021
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