Abstract: As the 4th Industrial Revolution is currently growing worldwide, design and construction systems in the Built Environment are developing around hyper-connectivity and superintelligence. variety of cutting-edge skills, such as Artificial Intelligence (AI), Big Data, IoT, 3D Printing, Intelligent Sensor, and Cyber-Physical System are adopted rapidly in the industry.

Although the technology for authoring BIM data has been greatly developed, the technology for utilizing the BIM data properly is still very immature. If the BIM data is not authored correctly, the secondary data generated from the BIM data will be unreliable and will not be properly utilized. The automatic quality checking based on BIM is a process of judging whether the BIM model data properly reflects the relevant requirements for quality control.

In this presentation, I would like to illustrate various efforts in Korea to develop AI based automated compliance checking system from design process to the construction process in Korea and its related projects.

PROFESSORC KIM INHAN is a Professor of Architectural Information Technology in the Department of Architecture of the College of Engineering, Kyung Hee University, Korea. He is also the Chief Vice-Chairman of buildingSMART Korea. Dr Kim has more than 25 years of practical experience in architecture, including BIM, CAD, and IT in Construction. He is also an international board member of buildingSMART. He founded the buildingSMART Korea chapter(1998) and Korea Construction IT Convergence Institute(2011). He will serves as a President for Society of Computational Design and Engineering from 2020. He recently served as a congress chair for i3CDE(i3cde.org) which was held at Penang, Malaysia July 2019.

Prof Kim’s key qualifications include: (i) Architecture: design experience for residential buildings; (ii) BIM & IT: leader for various national BIM projects including National BIM Roadmap and Guides, Korea Procurement Service(PPS) BIM Guides; (iii) National and International Research Project management experience total 50 government initiated BIM, IT R&D projects. Over 500 international and domestic Journal papers publication.s

Abstract: Images of cow carriage having a box-shaped cabin and large wheels are often found in ancient Japanese picture scrolls. There are various interesting features in its customary representation unique to the picture scroll. One of the noticeable features is that the contour of the wheels are all drawn in a shape close to ellipse even on the one which side seems to face to the front. Heiji Monogatari Emaki was chosen for analysis among several picture scrolls now available to be browsed as digital image on the internet, and the shape and the inclination of symmetrical axis of the wheel were quantitatively evaluated by fitting the coordinates of the wheel contour to hyperellipse. The calculated results pointed out that the wheel contour was always drawn in a shape slightly bulging from perfect ellipse and discrepancy between the two shapes was almost the same for all the measured wheels. It is also found out that the major axis of fitted hyperellipse was aligned parallel to the height direction of the cabin without following a modern projection method. These facts lead to the idea that the ancient Japanese painters drew the shape of the wheel of cow carriage close to a certain standard, and determined its posture not relating to the ground where the three-dimensional cabin was on but to its two-dimensional image. This idea was confirmed to be generally applicable to cow carriages in other picture scrolls by the measurements of 62 images of cow carriage in ten picture scrolls carried out by Prof. T. Tanaka. On the other hand, there were a few exceptions against the above rule in Kitano Tenjin Engi, then there still remain issues to be investigated on the representation of cow carriage in picture scrolls.

Abstract: Digital construction is to develop digital solutions to ensure successful project delivery of construction projects with minimum time and cost, while maintaining high quality and reducing accidents. The emergence of digital technologies has the potential to greatly improve the project delivery processes. These emerging technologies include, but not limited to, Building Information Modelling (BIM), Intent of Things (IoTs); cloud computing, robotics, 3D printing and, Artificial Intelligence. BIM technologies can provide parametric modelling of design objects and eliminate dimensional inconsistencies. IoTs, sensor technologies and cloud computing can redefine procurement and logistics. Robotics and 3D printing technologies can automate pockets of construction works. Computer vision and artificial intelligence can potentially replace much of site supervision efforts.

Abstract: Biomedical imaging is always pursuing a higher level imaging quality, so that more precise and comprehensive knowledge of biology and pathology can be obtained from images. Therefore, imaging technology has to face two critical challenges. First, how can we transfer the raw signal detected by imaging instruments into high quality images, which is known as image reconstruction? Second, how can we transfer the big data of images into precise and quantifiable biomedical knowledge, which is known as image analysis? Recently, the artificial intelligence (AI) based new image reconstruction and analysis approaches have emerged. They have remarkably facilitated the development of biomedical imaging. Our group has successfully developed and implemented such novel strategies into the image reconstruction of optical scattering tomography, as well as the big data analysis of medical images, which achieved significant improvements. Meanwhile, we are investigating new methods that can directly transfer raw data into biomedical knowledge vital to clinical diagnosis and treatment, so that the visualization of raw data would even be unnecessary.

Abstract: In recent years, air traffic management system capable of safe and efficient operation in airspace overcrowded due to increase of aircraft have been studied. Air traffic simulation is one of the useful researching methods to reproduce air traffic flow and evaluate under various conditions. We have been developing an air traffic simulation based on multi-agent system composed of multiple interacting aircraft models to plan an operation with not only global optimization but also robustness, which is easy to cope with troubles. At the development phase, data visualization is of great use when dealing with a large amount of trajectory data of aircraft. Interactive visualization which employs the human cognition is especially effective to explore massive data and to understand complex phenomenon. This study proposes a system that can verify the data assimilation and the effectiveness of the optimization result intuitively by interactive visual operations for both simulation data and actual data of air traffic.