• Title/Summary/Keyword: CCTV 조사

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Analysis of Animal Usage of Eco-bridge and Ecoduct Using an Infrared CCTV at the Baekdudaegan Mountain Range, Korea (적외선 CCTV를 활용한 백두대간 육교형 생태통로와 터널형 생태통로의 동물이용현황 분석)

  • Cho, Hye-Jin
    • Ecology and Resilient Infrastructure
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    • v.3 no.3
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    • pp.177-181
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    • 2016
  • In order to prevent the fragmentation of animal habitat due to road construction, the most widely applied solution is building animal passes worldwide. In Korea, animal passes were introduced in the early 2000s, and through trial and error, the national guidelines for them and their design standards were published in 2010. These were criticized by politicians because of their relative inefficiency considering their high construction cost and their lack of animal usage. This study investigated the extent to which animals used the facilities. For this study, two types of animal passes, eco-bridges and ecoducts, were considered and the test sites were chosen from the Baekdu Mountains. The animal usage data was captured using infra-red CCTV cameras. The results showed that various types of animals used eco-bridges and ecoducts. Interestingly various types of birds were captured by cameras and endangered animals were also in them. The season, weather, and their surrounded vegetation also had effects on their usages. The infrared CCTV allowed detailed captures of animals but the electricity shortage was one disadvantage. During the last decades, a number of eco-bridges were constructed throughout the country and now we need to focus on their monitoring and maintenance for their successful efficiency and application.

Effectiveness of Situational Crime Prevention Methods to Deter Shoplifting in the Private Security (상점절도 방지를 위한 상황적 경비기법의 효과성)

  • Kang, Min-Wan
    • Korean Security Journal
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    • no.27
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    • pp.7-30
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    • 2011
  • Shoplifting causes serious losses to not only stores but also to consumers and society as a whole. There need to be effective society-wide measures to control shoplifting due to its characteristic of playing the role as a stepping stone to induce more serious crimes. However, there is a lack of research on shoplifting in Korea, especially the research analyzing situational factors to suggest effective alternative measures for shoplifting prevention. Therefore, the current study surveyed teenagers, the group known to be the most frequent shoplifters, to see their perception of effectiveness of the situational crime prevention methods used in stores. The result showed that the teenagers found only some of the prevention methods effective, including CCTV, Electronic Article Surveillance(EAS), minimization of blind areas, and watchful clerks. However, factors such as the number of doors and their accessibility and presence of security guards were not perceived to be very effective. Using the result of the survey, this study suggests ways to utilize situational crime prevention methods more effectively to deter shoplifting.

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Development of a dispersion coefficient method using a drone-based spatio-temporal hyperspectral image (드론기반 시공간 초분광영상을 활용한 분산계수 산정기법 개발)

  • Gwon, Yeonghwa;Han, Eunjin;Kim, Dongsu;You, Hojun;Kim, Youngdo;Kwon, Siyoone
    • Proceedings of the Korea Water Resources Association Conference
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    • 2021.06a
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    • pp.112-113
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    • 2021
  • 하천으로 유입되는 오염물질은 유수의 흐름에 따라 이송되며 혼합된다. 이러한 오염물질의 해석을 위해서는 확산 또는 분산계수 산정이 필요하다. 오염물질의 거동과 관련된 실험적 연구는 방사선 동위원소와 형광성 물질을 이용하여 수행되어 왔으나, 추적자 실험은 많은 비용 및 인력을 요하며, 고정식으로 설치한 계측장비로부터 수집한 시계열 농도자료만을 이용하여 분석하기 때문에 공간적 분포에 대한 자료 취득은 어렵다는 한계가 있다. 하천의 오염물질을 모니터링하기 위해서는 공간을 이동하는 입자의 관점에서 물리량을 표현하는 Lagrangian 방식보다 특정 위치에서 물리량 변화를 표현하는 Eulerian 방식이 적합하다. 그러나 드론을 활용한 하천원격탐사 연구의 대부분은 이동식 플랫폼으로 활용되어 특정 시간에 공간적 분광특성의 분포 파악이 한정적이며, 동일 지점에서 분광특성의 시간적 변화를 파악할 수 없다. 따라서 본 연구에서는 기존의 면단위를 측정하는 이동식 플랫폼의 한계를 극복하고 하천 모니터링에 적합한 Eulerian 방식을 적용하기 위하여 CCTV 형태의 고정식 초분광촬영 플랫폼을 도입하였다. 본 연구에서는 하천으로 유입되는 오염물질의 거동을 분석하기 위하여 자연하천에서 형광성물질인 Rhodamine WT를 이용하여 추적자 실험을 수행하였으며, 접촉식 센서를 활용한 농도측정과 동시에 드론과 초분광센서를 활용하여 CCTV 형태의 고정식 초분광영상을 획득하였다. 실험결과 도출된 전통적인 방식의 분산계수 산정과 시공간 초분광영상을 활용한 분산계수 산정을 비교하여 오염물질 거동 분석에 초분광영상 활용의 가능성을 검토하였다. 본 연구에서 제시한 드론기반 시공간 초분광영상 기법을 교량이나 기타 하천구조물에 초분광 센서를 설치하여 CCTV형식으로 활용할 경우, 공단이나 하·폐수 처리장 등의 점오염원이 밀집해 있는 지역에 직접 설치하여 화학사고의 감지 및 오염물질의 유출 확인 및 조류, 부유사 등의 다양한 수질항목의 농도 변화 감지가 가능하고, 수심변화 감지로 장기적으로 활용할 경우 특정 지점에서의 하상변동 조사가 가능하다. 또한, 오염물질의 유출 사고 발생 등의 사람이 직접 접근이 불가능한 지역에 드론을 활용하여 초분광센서를 이용한 오염물질 감지가 가능할 것으로 판단된다.

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Suggestion of the defect score and condition grading protocol about sewer pipe (하수관로 결함 점수 및 상태 등급 판정 방법 제안)

  • Kim, Jungruyl;Lee, Jaehyun;Oh, Jeill
    • Journal of Korean Society of Water and Wastewater
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    • v.31 no.1
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    • pp.21-28
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    • 2017
  • This study was performed to propose the sewer defect scoring, and grading protocols for sewer condition assessment. For this, sewer defect scoring methods were comparatively analyzed and reviewed for four international condition assessment protocols, which are established based on WRc manual. As a result, we proposed a new protocol for sewer condition assessment, in which characteristics of sewer pipes are considered by segment. In reference to the PIM-3, the extent of ground subsidence was adopted to be of importance, and renewal scores increased in accordance with weighting of defects causing structural backfill materials. Also, defect grades of 'Hole' were extended to 5 levels of the grading, and 'Surface Damage' was excluded in defect assessment. The addition of 'Buckling' resulted in reduction of weights in 'Surface Damage' and 'Lining Defects'.

Development of Vehicle Classification Method using Discriminant Function Based on Detection of Dual Tire (주행차량의 복륜 여부 판정을 통한 차종분류 방안)

  • Oh, Jusam
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.30 no.1D
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    • pp.45-51
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    • 2010
  • Traffic volume is essential data for traffic control or maintenance and rehabilitation planning. The volume especially with respect to the type of vehicles can facilitate to those road operations. In this research, a method for vehicle classification was developed using skewed sensors which can generate traffic signatures. In order to characterize vehicle types, the method investigates whether the second axle of each vehicle consists of dual tires. The presence of dual tire is determined by the discriminate function obtained from discriminant analysis. The validation using 1,878 vehicles recorded from a highway using a CCTV camera indicated significantly accurate results: 96.92% for class 1, 82.91% for class 3 and 79.13% for class 4.

Investigation of Characteristics of Rip Current at Haeundae Beach based on Observation Analysis and Numerical Experiments (관측자료 분석과 수치모의에 의한 해운대 이안류 발생 특성 연구)

  • Yoon, Sung Bum;Kwon, Seok Jae;Bae, Jae Soek;Choi, Junwoo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.4B
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    • pp.243-251
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    • 2012
  • To investigate the characteristics of rip current occurring at Haeundae beach, observations obtained from a buoy and a CCTV were analyzed and numerical experiments were conducted. During observed rip-current events, the CCTV images showed that a couple of wave-trains, which are close to regular waves with slightly different directions, propagated to the beach, and wavelet analyses of data from the buoy showed very narrow-banded spectra with a peak frequency. From the evidences, it was inferred that a known mechanism of generating rip current due to the nodal line area of honeycomb-patterned wave crest was one of the significant factors of rip current occurrences of Haeundae beach. The mechanism has been explained by the following: When two wave-trains with slightly different directions propagate to a beach, wave crests of the incident wave-trains form honeycomb pattern due to nonlinear interaction. The nodal lines of honeycomb pattern are developed in the cross-shore direction. And longshore currents flow toward the nodal line area which has very low wave energy. Consequently their mass flux is expelled through the area toward the sea direction. To confirm the generation, numerical experiments were performed using a nonlinear Boussinesq equation model. In the cases with two incident wave-trains with slightly different directions and with a monochromatic wave propagating over a submerged shoal, it was seen that the honeycomb pattern of wave crests was well developed, and thus rip currents were evolved along the nodal lines.

Optimal Geophysical Exploration Performance Method for Common Detection Behind a Sewer (하수관로 배면 공동 탐지를 위한 최적 물리탐사 방법)

  • Kim, Jinyoung
    • Journal of the Korean GEO-environmental Society
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    • v.19 no.8
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    • pp.11-17
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    • 2018
  • Recently, road subsidence has been increasing in urban areas, threatening the safety of citizens. In the lower part of the road, various road facilities such as water supply and drainage pipelines and telecommunication facilities are buried, and the deterioration of the facilities causes the road subsidence. Especially, in the case of old sewer which are attracting attention as a main cause of ground subsidence, the risk of subsidence is calculated indirectly through CCTV exploration. Currently, we are finding cavity through GPR exploration. However, it is difficult to find the sewer back cavity because it is explored from the surface of the road. Thus, the nondestructive cavity exploration techniques was investigated in this study and we confirmed the applicability through experiments on the test-bed. In this study a new quantitative method is proposed to detect the cavity around sewer.

A study on the auto encoder-based anomaly detection technique for pipeline inspection (관로 조사를 위한 오토 인코더 기반 이상 탐지기법에 관한 연구)

  • Gwantae Kim;Junewon Lee
    • Journal of Korean Society of Water and Wastewater
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    • v.38 no.2
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    • pp.83-93
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    • 2024
  • In this study, we present a sewer pipe inspection technique through a combination of active sonar technology and deep learning algorithms. It is difficult to inspect pipes containing water using conventional CCTV inspection methods, and there are various limitations, so a new approach is needed. In this paper, we introduce a inspection method using active sonar, and apply an auto encoder deep learning model to process sonar data to distinguish between normal and abnormal pipelines. This model underwent training on sonar data from a controlled environment under the assumption of normal pipeline conditions and utilized anomaly detection techniques to identify deviations from established standards. This approach presents a new perspective in pipeline inspection, promising to reduce the time and resources required for sewer system management and to enhance the reliability of pipeline inspections.

A Study on the Improvement of Disaster and Safety Management for Local Cultural Heritages (지방문화재 재난안전관리 개선방안에 관한 연구)

  • Kim, Twe-Hwan;Kim, Jung-Gon;Been, Ju-Hee
    • Journal of the Society of Disaster Information
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    • v.15 no.3
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    • pp.358-366
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    • 2019
  • Purpose: This paper aims to clarify the problems and to examine the improvement methods by investigating the management condition of local-designated cultural property of which management is relatively poor in comparison with state-designated cultural heritage. Method: In order to grasp the management situation of the local-designated cultural heritage, a research on cultural heritage management situation and problems will be carried out with 35 cultual heritages in Goryeong-gun. Also, the improvement methods about the property type vulnerability on the basis of interview with cultual property managers, fire-fighting officers and civil servants, etc. Results: Local cultural heritages were investigated to be very vulnerable to the fire of wooden buildings, the theft of movable cultural heritages, and the effects of wind and water damage. It is because cultural heritages are scattered over wide areas fundamentally. As the result, it has difficulty in the patrols of police officers and fire fighters, and in the situation that it lacks disaster monitoring and CCTV for countermeasures to replace them, electronic security including fire hydrant, sensors, etc and fire extinguishing facilities and so on. It is difficult for local governments managing local-designated cultural heritages to enhance their management systems directly due to their lack of budget and manpower. Conclusion: In order to strengthen disaster and safety management system for the cultural heritages designated by local governments, they have to clarify disaster countermeasure task of fire fighting, police, and cultural heritage managers prepare their manuals, and systematize them through disaster drill mainly in local autonomous governments. Also, so as to establish a surveillance system every day, they have to enhance the community for local cultural heritage manage consisting of local volunteer fire departments, local voluntary disaster prevention organizations, volunteers, etc.

Digital Image based Real-time Sea Fog Removal Technique using GPU (GPU를 이용한 영상기반 고속 해무제거 기술)

  • Choi, Woon-sik;Lee, Yoon-hyuk;Seo, Young-ho;Choi, Hyun-jun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.12
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    • pp.2355-2362
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    • 2016
  • Seg fog removal is an important issue concerned by both computer vision and image processing. Sea fog or haze removal is widely used in lots of fields, such as automatic control system, CCTV, and image recognition. Color image dehazing techniques have been extensively studied, and expecially the dark channel prior(DCP) technique has been widely used. This paper propose a fast and efficient image prior - dark channel prior to remove seg-fog from a single digital image based on the GPU. We implement the basic parallel program and then optimize it to obtain performance acceleration with more than 250 times. While paralleling and the optimizing the algorithm, we improve some parts of the original serial program or basic parallel program according to the characteristics of several steps. The proposed GPU programming algorithm and implementation results may be used with advantages as pre-processing in many systems, such as safe navigation for ship, topographical survey, intelligent vehicles, etc.