• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.131-132
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• 2011

Non-working days owing to climatic factors have been negatively affected in productivity of construction, such as delays of project completion times, decrease productivity of construction. Especially non-working days of steel erection work is about 58 days, it is influenced deleteriously to estimating uncertain construction duration. To solve this problem, Construction Factory(CF) and sliding roof system installed CF's upper side are developed in korea recently. This study is proposed the design of sliding roof system through assess relation of requirements and technical characteristics using Quality Function Deployment(QFD). The basis data for applying QFD is collected from literature reviews and questionnaires/interviews targeting system developer, experts and researchers.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.741-742
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• 2016

IoT(Internet of Things) 기술이 급속도로 발전함에 따라 다양한 분야에 적용되고 있으며, 새로운 부가가치를 창출하고 있다. 최근에는 IoT 기술을 접목하여 도시 내부에 자동화된 농작물 재배시설을 설비하여 재배된 농작물을 직접 현지에 바로 공급할 수 있는 운영시스템을 구축하고 있다. 본 연구는 도심지 내부의 건물 옥상이나 농작물을 재배할 수 있는 임의의 공간에 온실을 설치하여 작물을 재배할 수 있는 환경을 원격으로 관리하는데 있다. 온실 내부의 환경 데이터를 계측하기 위한 온도, 습도, 조도, 토양상태, CO2 센스를 설치하여 온실 내부의 환경을 라즈베리파이2(raspberry Pi2)를 활용하여 계측하였다. 원격으로의 데이터 전송은 Wi-Fi를 이용하여 데이터를 전송하였으며, 중앙에서 관리된 관리정보를 통하여 온실 하우스의 내부 환경을 제어할 수 도록 모터(motor), 환풍기 팬, 조명용 Led, 워터 펌프 등을 제어하도록 하였다. 본 논문의 연구결과를 통하여 비닐하우스의 내부 상태를 계측하고, 다양한 구동장치를 제어할 수 있도록 IoT 기술을 편리하게 적용할 수 있는 라즈베리파이와 원격관리용 스마트 앱(app.)을 이용하여 비닐하우스 내부 관경을 편리하게 관리할 수 있음을 확인하였다.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2005.11a
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• pp.81-104
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• 2005

Accurate 3D models in urban areas are essential for a variety of applications, such as virtual visualization, CIS, and mobile communications. LiDAR(Light Detection and Ranging) is a relatively new technology for directly obtaining 3D points. Because Manual 3D data reconstruction from LiDAR data is very costly and time consuming, many researchs is focused on the automatic extraction of the useful data. In this paper, we classified ground and non-ground points data from LiDAR data by using filtering, and we reconstructed the DTM(Digital Terrain Model) using ground points data, buildings using nonground points data. After the reconstruction, we assessed the accuracy of the DTM and buildings. As a result of, DTM from LiDAR data were 0.16m and 0.59m in high raised apartments areas and low house areas respectively, and buildings were matched with the accuracy of a l/5,000 digital map.

• KIPS Transactions on Software and Data Engineering
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• v.10 no.5
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• pp.161-168
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• 2021

Cracks affect the robustness of infrastructures such as buildings, bridge, pavement, and pipelines. This paper presents an automated crack detection system which detect cracks in diverse surfaces. We first constructed the combined crack dataset, consists of multiple crack datasets in diverse domains presented in prior studies. Then, state-of-the-art deep learning models in computer vision tasks including VGG, ResNet, WideResNet, ResNeXt, DenseNet, and EfficientNet, were used to validate the performance of crack detection. We divided the combined dataset into train (80%) and test set (20%) to evaluate the employed models. DenseNet121 showed the highest accuracy at 96.20% with relatively low number of parameters compared to other models. Based on the validation procedures of the advanced deep learning models in crack detection task, we shed light on the cost-effective automated crack detection system which can be applied to different surfaces and structures with low computing resources.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.05a
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• pp.326-328
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• 2015

Function of the window of the building is an environment of the room through the entry of solar radiation. It is vulnerable to significant energy conservation off the thermal efficiency. Also this summer, cooling costs are weighted because of excessive solar radiation. In this paper, we develop a windows automatic control system to use the indoor environmental information, such as home temperature, humidity, light intensity, solar radiation. The system collects the indoor environment information using a variety of sensor, using the collected information, and controls the motor to the system to control the window.

• Korean Institute of Interior Design Journal
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• no.19
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• pp.30-37
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• 1999

This study presents a methods on the construction of integrated system for the purpose of automation of design plans, calculation of quantity of materials and estimation by abstracting information on building materials which is produced on the course of three dimension modeling by using computer. Therefore, an object oriented methodology is introduced to compose design informations in three dimension, space for unifying building informations, and expressing properties of building factors and materials, and to construct a database for computers to recognize architecture informations. An object indicates a conceptual individual existing in real world or existence of individual and necessity in composing a building could be called as objects such as column, wall, beam, slab, door and window and these contain materiality and immateriality. It is systemized to which properties of these building's objects are installed by the user of computer and by API(Application Programming Interface), chosen informations automatically converse to each unit work such as design plan structure plan, calculation of amount of materials, etc.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.84-89
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• 2007

In this paper, we introduce a new technique for automatic construction of steel frames in high-rise buildings. Basically, we combine advanced robotic technologies to building construction techniques. Four main topics will be developed such as: 1) Planning and synthesis of automatic construction system, 2) Development of construction factory system with climbing oil-pressured robot, 3) Core techniques for automatic assembly for steel frames, and 4) Intelligent resource management system. We expect that this new technique will increase the construction efficiency and will alleviate the manpower shortage problem in the aging society.

• KEPCO Journal on Electric Power and Energy
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• v.5 no.3
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• pp.157-163
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• 2019

K-BEMS System was introduced to reduce peak load and to save total energy of the 120 buildings that KEPCO headquarter and branch offices use. K-BEMS system is composed of PV, battery, and hybrid PCS. In this system, ESS, PV, lighting is used to save building energy based on demand prediction. Currently, neural network technique for short past data is applied to demand prediction, and fixed scheduling method by operator for ESS charging/discharging is used. To enhance this system, KEPCO research institute has carried out this K-BEMS research project for 3 years since January 2016. As the result of this project, we developed new real-time highly reliable building demand prediction technique with error free and optimized automatic ESS charging/discharging technique. Through several field test, we can certify the developed algorithm performance successfully. So we will describe the details in this paper.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.11a
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• pp.121-126
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• 2004

The operation and function of the ports today require new trends and changes in continuous increase of freight and volume of containers as well as complexity of surface transport system. These changes affect future operational systems, Transport equipments and arrangements of comtainer blocks. To achieve an adaptable container port of the next generation. The architectural planning also needs to be changed in accordance with it. We try to probe some problems of current architecture related container ports system and expect some future changes. Finally, We studied adaptable architectural planning trends and methods of indoor and outdoor spaces of operational building, gates etc in container pors of next generation.

• Journal of the Korean Home Economics Association
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• v.32 no.2
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• pp.207-218
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• 1994

최근 컴퓨터 디자인을 비롯한 컴퓨터의 응용은 의류패션과 직물 산업분야에 있어서 디자인 및 생산공정이 자동화되는 등 의류 디자인 및 제작에 중요한 역할을 하고 있다. 본연구의 목적은 컴퓨어화 사화의 이행에 따른 1) CAD를 포함한 컴퓨터 시스템의 의류학에의 응용실태 2) 컴퓨터 응용에 대한 인식 및 미래의 방향 3) 의류학내의 전반적인 문제점과 해결방안 등에 대하여 연구하고자한다. 연구방법은 전국 의류학 관련교육과(43개 4년제 대학의 교수) 110명을 대상으로 설문지법을 사용하였으며 회수된 58부 (53% 회수율)를 SAS로 통계처리하여 Likert's mehod of summated ratings로 분석하였다. 연구결과에 따르면 CAD는 11%의 대학에서 컴퓨터개론이 25%의 대학에서 Telecom-munication Spreadsheet Database 는 각각 4%의 대학에서 강의되고 있다. CAD 는 주로 다른과목에 포함되어 "몇주"(4%) "몇일(4%)" 정도 강의되고 있으며 컴퓨터개론은 다른과목에 포함되어"반학기"정도 강의 되는경우(14%) 가 가장많은 것으로나타났다. 또한 37%의 대학에서 앞으로 5년내에 의류학에 컴퓨터디자인 및 컴퓨터 시스템을 도입할 계획으로 있으며 특히 CAD에 대한 관심이 높았다. 64%의 대학이 의류학과 건물내에 컴퓨터 시설이 갖추어져 있지 않아 모든교수들이 컴퓨터교육을 위한 시설 재점비가 필요하다고 하였다. 컴퓨터활용의 부족이 의류학 관련학과의 취약부분으로 인식욈에 따라 앞으로 CAD에 관한 연구 및 컴퓨터 관련 수업의 개설, 시설 확충등이 보완되어야 할 것으로 나타났다. 본연구 결과는 한국내 의류관련학과의 CAD를 포함한 컴퓨터의 응용실태와 성향을 실증적으로 조사분석함으로써 앞으로 나아갈 방향을 제시하고 미국과의 비교분석을 통하여 의류학과 응용이 우리 실정에 맞게 정착되는데 도움이 될것으로 기대된다.