• Journal of KIBIM
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• v.11 no.2
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• pp.24-32
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• 2021

Recently, starting with smart construction research, interest in technology that automates construction site management using artificial intelligence technology is increasing. In order to automate construction site management, it is necessary to recognize objects such as construction equipment or workers, and automatically analyze the relationship between them. For example, if the relationship between workers and construction equipment at a construction site can be known, various use cases of site management such as work productivity, equipment operation status monitoring, and safety management can be implemented. This study derives a real-time object detection platform architecture that is required when performing construction site management using deep learning technology, which has recently been increasingly used. To this end, deep learning models that support real-time object detection are investigated and analyzed. Based on this, a deep learning model development process required for real-time construction site object detection is defined. Based on the defined process, a prototype that learns and detects construction site objects is developed, and then platform development considerations and architecture are derived from the results.

• International conference on construction engineering and project management
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• 2017.10a
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• pp.225-234
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• 2017

Mixed-reality technologies have proven to be valuable in many architecture, engineering and construction / facilities management (AEC/FM) applications. However, its potential of being adapted to facilitate hazard identification and risk communication in construction workplaces has yet to be fully explored. This paper makes an attempt to evaluate the feasibility of applying mixed-reality to enhancing safety risk communication in construction workplaces. Experiments have been designed in which Microsoft HoloLens^® together with a developed application will be used to intervene in the practice of jobsite risk communication. A cross-sectional survey will then be followed to examine the effectiveness and acceptability of this technology through analysis on data collected from participants in the construction industry. The preliminary results show that this emerging HoloLens^® technology, compared to the traditional communication methods (i.e., phone calls, walking up people and talk, and video conferencing), facilitates accurate, prompt safety communication on construction sites. Such findings signify the potential of applying mixed-reality to safety performance enhancement in the construction industry.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.1-6
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• 2013

Concrete construction requires utilization of many temporary facilities such as formwork, shoring, and scaffolding. Appropriate use of these temporary facilities greatly impacts the quality, cost, schedule, and safety of concrete construction. The current practice in design and planning of temporary facilities is often manual, error-prone, and re-active based on construction site layout, status, and progress in the field. Early design and planning of temporary facilities for concrete construction using Building Information Modeling (BIM) technology offers a potential solution. Although some commercially-available software exists that assists in the generation of temporary facility designs, the construction industry lacks tools that support detailed planning and design of many other temporary facilities. This research presents our early work in automating the design and planning of temporary facilities utilizing BIM. Algorithms were developed to automatically assess geometric conditions of work space to detect required temporary facilities and design them. The proposed methodology was implemented in a test model. By automatically incorporating temporary facilities into BIM, more realistic construction models can be created with less effort and errors. Temporary facilities-loaded models can finally be used for communication, bill of materials, scheduling, etc. and as a benchmark for field installation of temporary formwork, shoring, and scaffolding systems.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2008.11a
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• pp.329-333
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• 2008

As construction projects become getting bigger and complicated, the importance of resource management in construction sites is to be emphasized all the more than ever, but the reality is now gone far away leaving data filing and management dependent on the hands of in-field managers, which gives rise to a variety of problems such as decreased productivity. The manually-dependent data management makes it hard to acquire data and information needed for projects both quickly and correctly with abundant cost and endeavor by accumulating the related data, and efficient project management, being exemplified by such practical applications as Bar-code, RFID(Radio Frequency Identification), GPS(Global Positioning System), PDA(Personal Digital Assistants), USN(Ubiquitous Sensor Network) and DAT(Data Acquisition Technology). In this context literature survey is made theoretically, taken into account 14 classification of construction works, 31 types of work classification in CIS, Masterformat as follows;

• Construction Engineering and Management
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• v.15 no.2
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• pp.71-75
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• 2014

• Proceedings of the Korea Contents Association Conference
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• 2014.06a
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• pp.275-276
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• 2014

• Magazine of RCR
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• v.4 no.4
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• pp.27-33
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• 2009

• Magazine of RCR
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• v.6 no.1
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• pp.11-16
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• 2011

• Magazine of RCR
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• v.5 no.3
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• pp.20-26
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• 2010

• Magazine of RCR
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• v.1 no.1
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• pp.58-62
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• 2005