• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2006.11a
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• pp.212-215
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• 2006

The Beautiful rest room is simple how to think. We need to understand that excretion is important as much as eating. When we didn't have foods, eating was important in itself no matter what our lives environments. But now we want to eat in more dignified and more cultural place. Most of restaurants spend money on adjusting place for the consumes' desire. It is same way about rest room, it is time to change our rest room to place of rest and speculation over the place which we fix our natural urge. We can fix our natural urge, take a rest, and get creative ideas in more convenient, more healthy and more comfortable. It is time for us to change out thought about rest room; it is not dirty and stink place, but civilized living place like developed country. Also, we need new concept to take a triangular position about rest room is one of structure over just decorations. This research suggest new public rest room without precedent based on instance analysis about rest room inside and outside the country.

• Proceedings of the Korea Concrete Institute Conference
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• 2002.10a
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• pp.703-715
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• 2002

타워팰리스 3차 현장은 국내에서 현존하는 건축물로서 가장 높은 63빌딩보다 약 30m 정도 더 높은 초고층 주상 복합건물이다. 초고층 건축현장에는 일반현장과는 다른 시공기술과 기법이 적용되는 바, 당 현장에는 기존의 타워팰리스 1차와 2차에 적용되었던 초고층 시공기술을 기반으로 좀 더 발전된 시공기술과 공정관리기법을 적용하여 선진국에 버금가는 속도로 공사가 추진되고 있다. 당 현장에 적용된 여러 시공기술 중에서 콘크리트와 관련된 주요 기술은 1) Mat 기초에 적용된 무다짐(또는 고유동화)콘크리트, 2) Mat 기초에 적용된 Closed Pipe Cooling System, 3) Core ACS Form에 적용된 고강도 콘크리트, 4) 기둥에 적용한 800 kg/$m^2$ 초고강도 콘크리트, 5) 스포츠동 기둥에 적용될 CFT용 고유동화 콘크리트, 6) 주차램프 바닥의 조면처리용 섬유보강콘크리트 등이다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.94-106
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• 2020

Recently, the radio navigation method utilizing the GPS(Global Positioning System) satellite information is widely used as the method to measure the position of objects. As GPS applications become wider and fields based on various positioning information emerge, new methods for achieving higher accuracy are required. In the case of autonomous vehicles, the INS(Inertial Navigation System) using the IMU(Inertial Measurement Unit), and the DR(Dead Reckoning) algorithm using the in-vehicle sensor, are used for the purpose of preventing degradation of accuracy of the GPS and to measure the position in the shadow area. However, these positioning methods have many elements of problems due not only to the existence of various shaded areas such as building areas that are continually enlarged, tunnels, underground parking lots and but also to the limitations of accumulation-based location estimation methods that increase in error over time. In this paper, an efficient positioning method in a large underground parking space using Fingerprint method is proposed by placing the AP(Access Points) and directional antennas in the form of four anchors using WLAN, a popular means of wireless communication, for positioning the vehicle in the GPS shadow area. The proposed method is proved to be able to produce unchanged positioning results even in an environment where parked vehicles are moved as time passes.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.8 no.6
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• pp.121-130
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• 2009

In this paper, Gaussian probability distribution model based multi-sensor data fusion algorithm is proposed for a vehicular location awareness system. Conventional vehicular location awareness systems are operated by GPS (Global Positioning System). However, the conventional system is not working in the indoor of building or urban area where the receiver is difficult to receive the signal from satellites. A method which is combined GPS and UWB (Ultra Wide-Band) has developed to improve this problem. However, vehicular is difficult to receive seamless location information since the measurement systems by both GPS and UWB convert the vehicle's movement information separately at each sensor. In this paper, normalized probability distribution model based Hybrid UWB/GPS is proposed by utilizing GPS location data and UWB sensor data. Therefore the proposed system provides information with seamless and location flexible properties. The proposed system tested by Ubisense and Asen GPS in the $12m{\times}8m$ outdoor environments. As a result, the proposed system has improved performance for accurateness and connection ability between devices to support various CNS (Car Navigation System).