• Title/Summary/Keyword: 도로 모니터링

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Development of Auto Traffic Light Control System for Prevention of Traffic Jam (교통 정체 예방을 위한 자동 신호등 제어시스템 개발)

  • Beck, Kwang-Moo;Shin, Ji-Hwan;Park, Mu-Hun
    • Journal of the Institute of Convergence Signal Processing
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    • v.15 no.4
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    • pp.148-154
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    • 2014
  • This paper suggests a new system based on image-processed information which is designed to control traffic light by measuring two-way traffic at the same time with a surveillance camera. With this system, the existing way of using one camera for one lane or loop coil will be improved to the more effective way of using only one camera to monitor a two-way, 8 lane roads statistically. Car images can be detected clearly even in irregular condition because of the background updating in real time. In addition, more accurate measurement is possible to users by selecting extra attention-needed regions. The automatic traffic light controlling algorithm, suggested in this paper, will prevent users and drivers from wasting their time and energy by controlling the number of traffic in advance.

Operational Effectiveness of Traffic Information System on Urban Streets (도시부 가로의 교통정보시스템의 운영효과)

  • Lee Chungwon;Kim Daeho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.1 no.1
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    • pp.33-40
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    • 2002
  • This paper presents the evaluation result of the Namsan 1st tunnel traffic information system, which is providing the real time queue length status and incidence information inside of the Namsan 1st tunnel, 1600meters long in the Seoul metropolitan CBD. This information system plays an important role because of notifying drivers to pay a toll for the tunnel path, the congestion information in advance. According to the analysis, an evident improvement on the tunnel path and its bypass without any conspicious adverse impact. Furthermore, survey analysis found that motorists placed a high value on the provided information. During peak time, the system turned out to help motorists to relax their hasty minds. As well, several performance indices showed the reduction of congestion and travel time variation on both of the tunnel path and its bypass, in spite of no traffic information on the bypass.

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Monitoring of Free Sugar and Amino Acid of Red Bean Paste by Corn Syrup Concentration and Heating Treatment Conditions (물엿농도와 열처리 조건에 따른 팥앙금 호화액의 당 및 아미노산의 변화 모니터링)

  • Rho, Min-Whan;Lee, Tae-Kyoo
    • Food Science and Preservation
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    • v.13 no.5
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    • pp.581-588
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    • 2006
  • Dynamic changes of free sugar and amino acid in the mixture of red bean paste sediment by corn syrup concentration and heating conditions were monitored. Glucose and fructose contents of red bean paste increased with an increasing blown color intensity. Amino acid content was affected by the heating temperature, increased with an increase in browning color intensify. Browning color intensity of each samples increased up to $95^{\circ}C$, but decreased above $95^{\circ}C$. This result was the same tend as changes of glucose and amino acid. The result of correlation coefficients among free sugar amino acid and browning color intensity show that increase in browning color intensity was not correlated directly with changes of free sugar and amino acid content. It seems that the contents of free sugar and amino acid resolved from saccharides and protein were much mote than contents nea for browning reaction.

A Study on the Monitoring Technique for Musculoskeletal Safety Management and Implementation of the System (근골격계 안전관리를 위한 모니터링 기법에 관한 연구 및 시스템 구현)

  • Shin, Yeong-Ju;Joo, Ha-Young;Yang, Jin-Hong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.13 no.3
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    • pp.267-276
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    • 2020
  • Manufacturing workers are easily exposed to the risk of musculoskeletal disorders caused by repetitive tasks in their working environment. This is due to problems with occupational characteristics that repeatedly use the body. However, the current lack of monitoring systems for monitoring and prevention has led to an increase in workers' exposure to risks each year. This paper presents how to solve these problems in real working environment by producing wearable devices using IMU sensors. After wearing a wearable type device, the user's movement is judged through data analysis by receiving the rotation value according to musculoskeletal movement. At this time, the risk is determined by measuring the number of rotations of the user by eliminating bias and eliminating cumulative error, acquiring sophisticated data, and analyzing it in the form of dynamic threshold values. Using the wearable device proposed in this paper, the effect of this method could be checked through a web page measuring the number of rotations for elbow musculoskeletal disorders.

Variation in Nitrate Contamination of Shallow Groundwater in a Farmland in Gyeonggi-do, Korea (경기도 지역 농경지의 천부 지하수 내 질산염 오염특성과 변화)

  • Lee, Eun-Jae;Woo, Nam-Chil;Lee, Byung-Sun;Kim, Yang-Bin
    • Economic and Environmental Geology
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    • v.41 no.4
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    • pp.393-403
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    • 2008
  • Hydrogeochemistry of groundwater was studied in order to identify the influence of cow manure, distributed to a farmland as organic fertilizer, on nitrate concentrations in shallow groundwater and its spatio-temporal variations. From monitoring wells, water levels were measured using automatic data loggers, and water samples collected and analyzed in Feb., April, June and Oct. 2007. The average electric conductivity and concentration of nitrate in the groundwater show the highest levels in April and decline in subsequent sampling times. Decreases in dissolved oxygen(DO) and nitrate concentrations from April to Oct. and corresponding increases in $HCO_3$ concentrations indicate denitrification processes by microorganisms. Spatial variation of nitrate concentration appeared to be affected by the redox conditions of groundwater controlled by geochemical reactions of Mn, Fe and DOC contents.

Analysis of Runoff Characteristics of NPS Pollution in different Slope from Upland field (경사도가 다른 고랭지 밭의 비점오염물질 유출특성 분석)

  • Lee, Su-In;Shin, Jae-Young;Shin, Min-Hwan;Choi, Yong-Hun;Choi, Joong-Dae
    • Proceedings of the Korea Water Resources Association Conference
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    • 2012.05a
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    • pp.906-906
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    • 2012
  • 밭에서 발생하는 비점오염물질은 강우량, 강우강도, 경사도, 토양, 시비량 등에 영향을 받는다. 따라서 효율적인 비점오염물질의 관리를 위해서는 영향인자에 대한 자세한 분석이 선행되어야 한다. 이에 본 연구에서는 강원도 평창군 대관령면의 경사도가 다른 고랭지 밭 두 지점을 선정하여 비점오염물질의 유출특성을 파악하고, 향후 비점오염원의 효율적인 관리를 위한 기초자료를 제공하고자 하였다. 연구기간은 2011년 4월부터 11월까지 유출이 발생한 8회의 강우사상에 대해 모니터링을 수행하였다. 연구결과 경사도 4.9% 밭에서의 유출율은 0.05~0.48이었으며, 16.8% 경사에서는 0.31~0.57로 나타났다. 유량과 채취된 수질 시료를 이용해 EMC를 산정한 결과 경사도 4.9%인 밭에서는 SS 762.1~2422.7 mg/L $BOD_5$ 4.5~14.9 mg/L, $COD_{Cr}$ 16.1~62.0 mg/L, $COD_{Mn}$ 7.5~43.2 mg/L, TN 9.602~21.021 mg/L, TP 2.544~6.763 mg/L의 범위로 나타났다. 반면 16.8%의 경사밭에서는 SS 116.0~2015.5 mg/L $BOD_5$ 6.0~9.5 mg/L, $COD_{Cr}$ 21.9~75.4 mg/L, $COD_{Mn}$ 4.3~33.1 mg/L, TN 10.937~46.295mg/L, TP 2.611~11.197 mg/L의 범위로 나타났다. 두 지점의 유출률과 EMC를 비교한 결과, 경사가 증가함에 따라 유출율이 증가하는 것으로 나타났으며, SS를 제외한 모든 수질항목의 EMC가 증가한 것으로 나타났다. SS의 경우 경사가 큰 고랭지 밭에서 낮은 값을 보였는데, 이는 16.8%의 경사밭에서 등고선 방향으로 경운을 하여 흙 입자의 유실이 적었기 때문인 것으로 판단된다. 본 연구의 결과와 같이 밭에서 발생하는 비점오염물질의 유출특성은 강우조건(강우강도, 선행무강우일수), 시비량, 토양, 지표의 피복상태 등에 따라 다르기 때문에 장기적인 모니터링을 통해 기초자료를 축적하는 것이 중요하다고 판단된다.

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Diagnostic Method for the Detection of JC Polyomavirus Using Loop-mediated Isothermal Amplification (등온증폭법을 이용한 고감도 JC polyomaviruses 진단법 개발)

  • Cho, Kyu Bong
    • Korean Journal of Clinical Laboratory Science
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    • v.51 no.4
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    • pp.414-419
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    • 2019
  • JC polyomavirus (JCPyV) is a human pathogenic virus belonging to the family Polyomaviridae, a viral group containing dsDNA nucleic acid. A recent recommendation is to apply the presence of JCPyV as a fecal indicator for water contamination in environments like sewage, and techniques to monitor JCPyV in water are being proposed. To date, the conventional PCR system has been applied as a diagnostic method for detecting JCPyV. There is a need for a more rapid and sensitive JCPyV diagnostic detection method in clinical and environmental samples. In this study, we developed a loop-mediated isothermal amplification (LAMP) primer set for the detection of JCPyV. Our results indicate that the LAMP method using a specific primer set shows about 10-fold higher detection sensitivity than the conventional PCR system. The effectiveness of the LAMP method developed in this study has been validated by PCR product digestion using the HaeIII restriction enzyme. We, therefore, propose that the LAMP method using a specific primer set can be applied as a rapid and sensitive detection method for monitoring JCPyV in clinical and environmental samples.

Intercomparison of Satellite-based Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS) Gridded Dataset and Rain Gauge Data over Korea (Climate Hazards Group InfraRed Precipitation with Station (CHIRPS)와 한반도 지상관측 강수량 자료의 비교 평가)

  • Jeon, Min-Gi;Nam, Won-Ho;Mun, Young-Sik;Kim, Taegon;Hong, Eun-Mi
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.197-201
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    • 2018
  • 인공위성 기반의 원격탐사자료는 홍수, 가뭄 등 자연재해에 대한 모니터링 및 예측에 활용되어 왔으며, 특히 인공위성을 이용한 광역적 강수량 추정 자료는 지형적 제약을 받는 지상관측자료와 비교하여 시공간적으로 연속적이고 균질한 강수량 자료 취득이 가능하다는 장점이 있다. 우리나라의 경우 상대적으로 조밀한 지상관측망이 구축되어 있어 공간적으로 상세한 강수량 정보를 생산할 수 있는 여건을 갖추고 있지만, 북한 지역의 경우 기상, 수문, 통계자료에 관한 자료의 접근 및 품질의 제한성으로 인해 미계측 지역에 대한 강수량의 추정에 한계가 있다. CHIRPS (Climate Hazards Group InfraRed Precipitation with Stations) 데이터는 1999년부터 미국국제개발처 (U.S. Agency for International Development, USAID), 미국항공우주국 (National Aeronautics and Space Administration, NASA), 미국해양대기청 (National Oceanic and Atmospheric Administration, NOAA)의 지원으로 개발된 전지구 강우데이터 자료이다. CHIRPS는 1981년부터 현재까지 전지구 강우자료를 0.05도 격자 해상도로 제공하고 있으며, 강수량의 추세 분석 및 가뭄 모니터링을 위해 활용되고 있다. 본 연구에서는 CHG (Climate Hazards Group)에서 제공하고 있는 인공위성을 이용한 광역적 강수량 추정 자료인 CHIRPS와 남한 및 북한의 지상관측 강수량 자료와의 비교를 통해 위성으로부터 유도된 격자 강수량자료의 정확도 및 지역적인 강수추정의 불확실성을 평가하고, 수자원 및 재해 분야 이용 가능성을 검토하고자 한다.

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Regional-Scale Evaluation of Groundwater Susceptibility to Nitrate Contamination Based on Soil Survey Information (토양정보를 이용한 광역 지하수의 질산태 질소 오염 민감도 분포 분석)

  • Han, Gwang-Hyun
    • Korean Journal of Soil Science and Fertilizer
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    • v.42 no.1
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    • pp.37-45
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    • 2009
  • Susceptibility assessment of groundwater contamination is a useful tool for many aspects of regional and local groundwater resources planning and management. It can be used to direct regulatory, monitoring, educational, and policy-making efforts to highly vulnerable areas. In this study, a semi process-based was proposed to evaluate relative susceptibilities to groundwater contamination by nitrate on a regional scale. Numerical simulation based on data from each soil series was done to model water flow within soil profiles that were related to groundwater contamination by nitrate. Relative vulnerability indices for each soil series were produced by manipulation of amount of leaching flux, amount of average water storage in a soil profile, and amount of average water storage change. These indices were designed to convey the trend of leaching flux and to maximize spatial resolution. The resulting vulnerability distribution map was used to locate highly vulnerable sites easily with an appropriate grouping the indices, and was then compared with those from groundwater nitrate concentrations monitored. An excellent agreement was obtained across nitrate concentrations from the highly vulnerable regions and those from the low to stable regions.

Dual-mode diagnosis system for water quality and corrosion in pipe using convolutional neural networks (CNN) and ultrasound (합성곱 신경망과 초음파 기반 상수도관 수질 및 부식 분석용 이중모드 진단 시스템)

  • So Yeon Moon;Hyeon-Ju Jeon;Yeongho Sung;Min-Seo Kim;Daehun Kim;Jaeyeop Choi;Junghwan Oh;O-Joun Lee;Hae Gyun Lim
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.685-686
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    • 2023
  • 상수도관의 수질 및 부식도 검사에는 파이프에 손상을 입히지 않고 지속적인 방법이 필요하다. 초음파는 이를 만족하면서 상태를 확인할 수 있고 주파수가 높을수록 해상도가 좋아져 정밀한 측정이 가능하다는 장점이 있다. 이러한 특성을 이용해 상수도관 모니터링 시스템으로 초음파 기반의 Scanning Acoustic Microscopy(SAM)과 Convolutional Neural Network(CNN)을 사용하는 새로운 방법을 제안한다. 기존의 Non-Destructive Testing(NDT)방식의 단점을 보완하면서 더 높은 해상도로 상수도관을 점검하는 방식으로, SAM 을 이용하여 부식으로 인한 파이프 두께 변화와 부유물의 여부 및 수질을 동시에 감지하고 얻은 데이터를 CNN 으로 분석했다. CNN 의 높은 정확도 결과로 이 시스템의 파이프 부식도 및 수질 모니터링에 대한 적합성을 보여주었다.