• KIEAE Journal
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• v.16 no.6
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• pp.39-50
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• 2016

Purpose: The purpose of this study is to be performed with studio-type housings among urban life-type housings to investigate the physical characteristic and crime-related factors of studios from the viewpoint of the basic principles of crime prevention through environmental design (CPTED). Method: Eight CPTED guidelines available in Korea were reviewed to select 20 planing factors for actual condition investigation. Five single households in studio-type housings in Gwanak-gu, Seoul, were chosen according to the subject screening criteria to perform the actual condition investigation. Results: First, a lighting plan around a building for natural surveillance should consider the building location, relation with the front road, and surrounding facilities. In a building of a piloti structure, the parking lot and the building gate should be arranged in a manner that enables natural surveillance. Second, the shape of the corridors in studio-type housings should be considered to plan the installation of a lighting at the door of each household, the installation of a viewer window at the door of each household, and the arrangement of the elevator. Third, to support access control, an access control system having the function of video and voice communication is recommended to be installed at the building gate. Criteria for the type of security windows and the floors on which security windows should be installed, and the regulations about the CCTV installation inside and outside the building should be prepared. Fourth, to enhance territoriality in parking lots, ground patterns, parking lot gate, and signs may be installed. Fifth, in view of effective utilization and maintenance, lighting facilities should be installed to increase the usability of ground parking lots, and relevant installation criteria should be prepared regarding the type, number, and brightness of the lightings.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.200-203
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• 2010

The obstructive factors of the smoothly running traffic are street improvement, major commercial buildings like department stores, the large markets, the stadiums, the concert buildings, a lot of steady cars for using parking lot. The accident of cost many lives and traffic congestion from these factors cause the result that it enables to pay the enormous expenditure socially and financially. For solving these problems, Japan adopts the Traffic Flagger System in 1972. This task has the effects of improving traffic flow in the traffic jam and mitigating risk of car accidents as leading pedestrians and vehicles thereby the task carries into effect in the area where the accident took place. Moreover, this security task is rapid growth after adopting and 59.6%(5,317) of the whole security company 8,924 in Japan based on December 2009 registered as the traffic leading security business. While South Korea is demanded of the measures about obstructive factors of the smoothly running traffic, it represents the limitation of the system and the safety management. Thus the current study suggests the we will analyze South Korea's actual condition and then discuss the law and education system for a realizable plan reached the public-Private cooperation for adopting Japan's Traffic Leading Security System.

• Journal of the Korean Home Economics Association
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• v.41 no.5
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• pp.149-163
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• 2003

The deteriorated apartments make a social problem in now a days. After all a new alternative plan for deteriorated apartments such as the remodelling concept must be considered. This study aims to survey the needs levels among residents in deteriorated apartments relating to remodelling. It might provide the basic data which could be used for the analysis of consumers in the future implementation of deteriorated remodelling projects. The analytical methods applied for this study were t-test, one-way ANOVA, post-hoc estimation(Scheff test) by the SPSS 10.1 for Windows program. The analysis of the need levels for the areas of remodelling, by the family characteristic variable, residence value viewpoint, and residence satisfaction level, indicated that the demand level for ‘equipment ’was the highest, followed by the order of ‘structure’ and ‘interior’. The need levels for ‘security’, ‘parking lot’, ‘public facilities in apartment block’, and ‘landscape’ were generally low but in the group of high income, the need levels were comparatively high.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.770-771
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• 2023

'환경친화적 자동차의 개발 및 보급 촉진에 관한 법률'에 따라 주거지역 내의 전기차 충전기 설치 및 보급이 빠르게 확산 중이다. 전기 자동차는 충전 중 화재 시 리튬이온 배터리 열폭주(thermal runaway) 현상 때문에 쉽게 진압하지 못한다는 단점이 존재한다. 이에 따라 지하 주차장에서의 전기 자동차 충전 중 화재 시 피해 최소화를 위한 스마트 IoT 주차장을 기획하고 개발하였다.

• Journal of the Korea Society of Computer and Information
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• v.13 no.5
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• pp.125-133
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• 2008

As society develops, the importance of safety for individuals and facilities in public places is getting higher. Not only the areas such as the existing parking lot, bank and factory which require security or crime prevention but also individual houses as well as general institutions have the trend to increase investment in guard and security. This study suggests face feature extract and the method to simply divide face region and head region that are import for face recognition by using color transform. First of all, it is to divide face region by using color transform of Y image of YIQ image and head image after dividing head region with K image among CMYK image about input image. Then, it is to extract features of face by using labeling after Log calculation to head image. The clearly divided head and face region can easily classify the shape of head and face and simply find features. When the algorism of the suggested method is utilized, it is expected that security related facilities that require importance can use it effectively to guard or recognize people.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.3
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• pp.693-698
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• 2018

This paper proposes a vehicle detection method for parking areas using unmanned aerial vehicles (UAVs) and using YOLOv2, which is a recent, known, fast, object-detection real-time algorithm. The YOLOv2 convolutional network algorithm can calculate the probability of each class in an entire image with a one-pass evaluation, and can also predict the location of bounding boxes. It has the advantage of very fast, easy, and optimized-at-detection performance, because the object detection process has a single network. The sliding windows methods and region-based convolutional neural network series detection algorithms use a lot of region proposals and take too much calculation time for each class. So these algorithms have a disadvantage in real-time applications. This research uses the YOLOv2 algorithm to overcome the disadvantage that previous algorithms have in real-time processing problems. Using Darknet, OpenCV, and the Compute Unified Device Architecture as open sources for object detection. a deep learning server is used for the learning and detecting process with each car. In the experiment results, the algorithm could detect cars in a dense area using UAVs, and reduced overhead for object detection. It could be applied in real time.