• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2023.05a
• /
• pp.251-252
• /
• 2023

As technology improves with the 4th industrial revolution, smart construction is becoming a key part of safety management in the architecture and civil engineering. By using object detection technology with CCTV data, construction sites can be managed efficiently. In this study, super resolution technology based on deep learning is proposed to improve the accuracy of object detection in construction sites. As the resolution of a train set data and test set data get higher, the accuracy of object detection model gets better. Therefore, according to the scale of construction sites, different object detection models can be considered.

• IE interfaces
• /
• v.16 no.2
• /
• pp.258-267
• /
• 2003

Recently, virtual reality technologies have been rapidly developed and realtime virtual simulation methods have been extensively employed for several application areas such as game, sports, manufacturing, military, and so on. A 3D database in realtime virtual simulation plays a key role because it makes users feel reality in virtual space. In a application view of 3D database, a systematic construction approach is required to reduce its construction time and increase its quality. However, many researches have been mostly focused on realtime graphic issues and its key technologies. In virtual simulation of transportation equipments, this paper proposes a systematic construction process of 3D database consisting of four stages as follows: 1) determine the activity space of a equipment, 2) collect data related to 3D database construction, 3) make a 3-dimensional modeling strategy, and 4) generate and evaluate a 3D model. This paper also introduces a new procedure of 3D environment modeling, which summarizes and expands our modeling experiences, to be used as a modeling guide.

• Bulletin of the Korean Chemical Society
• /
• v.31 no.4
• /
• pp.1055-1057
• /
• 2010

• Proceedings of the Korean Geotechical Society Conference
• /
• 2010.09a
• /
• pp.1151-1155
• /
• 2010

Frost depth is one of important factors to design roadway structure, and it can be estimated with numerical simulation on thermal distribution through subgrade soils. Thermal conductivity is a key parameter for accurate prediction on thermal distribution, but there are few studies on thermal conductivity of subgrade soils in Korea. Thermal conductivity can be affected by several factors such as dry density, moisture content, and saturation degree based on previous researches. Two empirical equations to estimate thermal conductivity are applied to access the accuracy of these equations with experimental data. Results indicate that the equation can be used to estimate thermal conductivity with proper quartz fraction.

• International Journal of Naval Architecture and Ocean Engineering
• /
• v.12 no.1
• /
• pp.605-616
• /
• 2020

The construction quality control of hull blocks is of great significance for shipbuilding. The total station device is predominantly employed in traditional applications, but suffers from long measurement time, high labor intensity and scarcity of data points. In this paper, the Terrestrial Laser Scanning (TLS) device is utilized to obtain an efficient and accurate comprehensive construction information of hull blocks. To address the registration problem which is the most important issue in comparing the measurement point cloud and the design model, an automatic registration approach is presented. Furthermore, to compare the data acquired by TLS device and sparse point sets obtained by total station device, a method for key point extraction is introduced. Experimental results indicate that the proposed approach is fast and accurate, and that applying TLS to control the construction quality of hull blocks is reliable and feasible.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2012.11a
• /
• pp.281-282
• /
• 2012

Construction performance and productivity improvement are key focus areas in construction industry for any nation. There have been frequent delays and cost overruns in construction projects and poor productivity is one of the major contributions. For this reasons, there have been many research studies performed on the improvement of construction productivity for several decades. However, measuring productivity on a construction job site is still not an easy work. Because collecting reliable data consistently from the job site requires a lot of personnel efforts causing extra time and cost. This paper provides a basic study on the application of image processing technology for measuring unit productivity. It presented the possibility of unit productivity measurement by image processing technology through case study.

• International conference on construction engineering and project management
• /
• 2017.10a
• /
• pp.353-361
• /
• 2017

In order to improve the urban ecological environment, the central government has developed a series of water pollution control policies and measures since April 2015, and required local governments to complete the work of the polluted river and lake restoration within specified period. Moreover, the polluted river and lake restoration has been selected as a key evaluation indicator of achievements of the sponge city construction implemented since April 2015. This paper describes how to apply the sponge city construction technology to rehabilitate the polluted rivers and lakes through the polluted water treatment project in Xinghan New Area, Hanzhong and the polluted Huaguping River restoration project in Pingshan District, Shenzhen. The experience and lessons of the polluted river and lake restoration are summed up. Some measures to solve existing problems are put forward.

• International conference on construction engineering and project management
• /
• 2020.12a
• /
• pp.343-352
• /
• 2020

Modular integrated construction (MiC) is an innovative construction method where components of a building are manufactured in an offsite factory, trucked to the job site in sections, set in place with cranes, and assembled together to form a whole building. Where circumstances merit, favorable conditions exist and implemented effectively; MiC improves project performance. However, several key factors need to converge during implementation to realize the full benefits of MiC. Thus, a thorough understanding of the factors which are critical to the success of MiC projects is imperative. Drawing on a systematic review of 47 empirical studies, this research identified 25 key success factors (KSFs) for MiC projects. Of these, the five topmost cited KSFs for MiC projects include effective working collaboration and communication among project participants; standardization, optimization, automation and benchmarking of best practices; effective supply chain management; early design freeze and completion; and efficient procurement method and contracting. The study further proposed a conceptual model of the KSFs, highlighting the interdependences of people, processes, and technology-related KSFs for the effective accomplishment of MiC projects. The set of KSFs is practically relevant as they constitute a checklist of items for management to address and deal with during the planning and execution of MiC projects. They also provide a useful basis for future empirical studies tailored towards measuring the performance and success of MiC projects. MiC project participants and stakeholders will find this research useful in reducing failure risks and achieving more desired performance outcomes. One potential impact of the study is that it may inform, guide, and improve the successful implementation of MiC projects in the construction industry. However, the rigor of the analysis and relative importance ranking of the KSFs were limited due to the absence of data.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2019.11a
• /
• pp.191-192
• /
• 2019

The construction industry is in the process of changing from the existing labor-intensive production system to a construction automation system using advanced information and communication technologies. Accordingly, in order to identify key research areas and utilization technologies in the field of construction automation, this study collected the latest 17 years (2000-2016) of papers published in International Symposium on Automation and Robotics in Construction (ISARC) and conducted a correlation analysis between the construction management areas and automation technologies based on the keyword frequency. As a result, the BIM, WSN, and Augmented reality were extracted as the technology keywords with high correlation with various areas of construction management.

• Proceedings of the Korean Institute of Building Construction Conference
• /
• 2012.11a
• /
• pp.155-157
• /
• 2012

Recently, construction industry makes a great effort on minimizing the environmental impact. While various environmental-friendly technologies are applied to the operating phase of buildings, few equipment or machinery are partly used during the construction phase. For this reason, this study carried out a comprehensive analysis on environmental-friendly technologies for the whole construction process. In this study, appropriate environmental-friendly technologies of each construction activity were elicited to improve the environment of construction sites. Environmental-friendly technologies and construction activities were selected by professional consultation and descriptive statistics analysis, and proper environmental-friendly technologies were elicited from Cross-Impact Analysis. As a result, waste disposal and recycling technology was highly effective for demolition work while development of replacing materials was for reinforced concrete work.