• 대한토목학회논문집
• /
• 제38권2호
• /
• pp.183-191
• /
• 2018

본 연구에서는 차종별 교통량 데이터와 연직 변위 데이터의 상관관계를 바탕으로 광안대교의 차종별 교통량 데이터를 이용한 연직 변위 추정 모델을 개발하였다. 추정 모델의 개발 과정에서 구조화 회귀 분석에 기반한 모델링 방법과 주성분 분석법에 기반한 모델링 방법이 적용되었으며, 각각의 방법으로 개발된 모델의 변위 추정 성능을 비교 분석하였다. 개발된 모델을 이용하여 추정된 변위는 실측 변위와 유사한 것으로 분석되었으며, 이로부터 차종별 교통량 데이터를 광안대교의 교통량 의존 변위 추정에 적용 가능한 것을 알 수 있었다. 또한, 구조화 회귀 분석에 기반한 모델과 주성분 분석에 기반한 모델의 변위 추정 성능은 상호간에 큰 차이가 없다는 것을 알 수 있었다. 결론적으로 본 연구에서 개발한 차종별 교통량 데이터를 이용한 연직 변위 추정 모델은, 광안대교의 교통하중에 따른 거동 분석 등에 유효하게 활용될 수 있을 것으로 사료된다.

• 해양환경안전학회:학술대회논문집
• /
• 해양환경안전학회 2006년도 춘계학술발표회
• /
• pp.41-45
• /
• 2006

From the 1978 Seasat synthetic aperture radar(SAR) to present systems, spaceborne SAR has demonstrated the capability to image the Earth's ocean and land features over broad areas, day and night, and under most weather conditions. The application of SAR for surveillance of commercial fishing grounds can did in the detection of illegal fishing activities and provides more efficient use cf limited aircraft or patron craft resources. In the area of vessel traffic monitoring for commercial vessels, Vessel Traffic Service (VTS) which uses the ground-based radar system has some difficulties in detecting moving ships due to the limited detection range cf about 10 miles. This paper introduces the field testing results of ship detection by RADARSAT SAR imagery, and proposes a new approach for a Vessel Monitoring System(VMS), including VTS, and SAR combination service.

• 한국지반공학회:학술대회논문집
• /
• 한국지반공학회 2009년도 춘계 학술발표회
• /
• pp.11-16
• /
• 2009

Better understanding of in-situ mechanical behavior of pavement foundations is very important to predict long-term effects on the system performance of transport infrastructure. In order to do that, resilient stiffness characterization of geomaterals is needed to properly adopt such mechanistic analysis under both traffic and environmental loadings. In this paper, in situ monitoring data from KHC test road was used to analyze the non-linearity of stress conditions under traffic and moisture loadings. Then, the predicted non-linear response using finite element method with a selected constitutive model of foundation geomaterials are verified with the field data.

• ETRI Journal
• /
• 제35권2호
• /
• pp.253-258
• /
• 2013

We propose and demonstrate an efficient power-saving optical network unit (ONU) based on upstream traffic monitoring for 10-Gb/s wavelength division multiplexed passive optical networks (WDM-PONs). The power-saving mode controller uses a ${\mu}$-processor and traffic monitoring modules followed by the proposed power-saving processes to operate the sleep mode ONU. The power consumption of the ONU is effectively reduced from 19.3 W to 6.4 W when no traffic from the users is detected. In addition, we design a power-saving mechanism based on a cyclic sleep mode operation to allow a connectivity check between the optical line terminal and ONU. Our calculation results show that the WDM-PON ONU reduces the power consumption by around 60% using the proposed mechanism.

• 해양환경안전학회:학술대회논문집
• /
• 해양환경안전학회 2007년도 춘계학술발표회
• /
• pp.127-132
• /
• 2007

From the 1978 Seasat synthetic aperture radar(SAR) to present systems, spaceborne SAR has demonstrated the capability to image the Earth's ocean and land features over broad areas, day and night, and under most weather conditions. The application of SAR for surveillance of commercial fishing grounds can aid in the detection of illegal fishing activities and provides more efficient use of limited aircraft or patrol craft resources. In the area of vessel traffic monitoring for commercial vessels, Vessel Traffic Service (VTS) which uses the ground-based radar system has some difficulties in detecting moving ships due to the limited detection range of about 10 miles. This paper introduces the field testing results of ship detection by RADARSAT SAR imagery, and proposes a new approach for a Vessel Monitoring System(VMS), including VTS, and SAR combination service.

• 한국정보통신학회:학술대회논문집
• /
• 한국해양정보통신학회 2004년도 춘계종합학술대회
• /
• pp.587-590
• /
• 2004

본 논문에서는 HMM(Hidden Markov Model)방법에 기초하여 전경과 배경영역 뿐만아니라 그림자 까지도 분할 할 수 있는 교통모니터링 방법을 제안하였다. 움직이는 물체의 그림자는 시각적 추적을 방해하기 때문에 이러한 문제점을 해결하기 위한 방법으로 각 화소나 영역을 3개의 카테고리 즉, 그림자, 전경, 배경물체로 분할하였다 교통 모니터링 영상의 경우, 실험결과를 통해 제안된 방법의 효율성을 입증 할 수 있었다.

• Structural Engineering and Mechanics
• /
• 제17권5호
• /
• pp.655-670
• /
• 2004

This paper aims to evaluate the effect of typhoons on fatigue damage accumulation in steel decks of long-span suspension bridges. The strain-time histories at critical locations of deck sections of long-span bridges during different typhoons passing the bridge area are investigated by using on-line strain data acquired from the structural health monitoring system installed on the bridge. The fatigue damage models based on Miner's Law and Continuum Damage Mechanics (CDM) are applied to calculate the increment of fatigue damage due to the action of a typhoon. Accumulated fatigue damage during the typhoon is also calculated and compared between Miner's Law and the CDM method. It is found that for the Tsing Ma Bridge case, the stress spectrum generated by a typhoon is significantly different than that generated by normal traffic and its histogram shapes can be described approximately as a Rayleigh distribution. The influence of typhoon loading on accumulative fatigue damage is more significant than that due to normal traffic loading. The increment of fatigue damage generated by hourly stress spectrum for the maximum typhoon loading may be much greater than those for normal traffic loading. It is, therefore, concluded that it is necessary to evaluate typhoon induced fatigue damage for the purpose of accurately evaluating accumulative fatigue damage for long-span bridges located within typhoon prone regions.

• 한국지능시스템학회:학술대회논문집
• /
• 한국퍼지및지능시스템학회 2006년도 추계학술대회 학술발표 논문집 제16권 제2호
• /
• pp.203-207
• /
• 2006

Nowadays, Cars are continuing to grow at an alarming rate but they also cause many problems such as traffic accident, pollutions and so on. One of the most effective methods that prevent traffic accidents is the use of traffic monitoring systems, which are already widely used in many countries. The monitoring system is beginning to be used in domestic recently. An intelligent monitoring system generates photo images of cars as well as identifies cars by recognizing their plates. That is, the system automatically recognizes characters of vehicle plates. An automatic vehicle plate recognition consists of two main module: a vehicle plate locating module and a vehicle plate number identification module. We study for a vehicle plate number identification module in this paper. We use image preprocessing, feature extraction, multi-layer neural networks for recognizing characters of vehicle plates and we present a feature-comparison method for improving the performance of vehicle plate number identification module. In the experiment on identifying vehicle plate number, 300 images taken from various scenes were used. Of which, 8 images have been failed to identify vehicle plate number and the overall rate of success for our vehicle plate recognition algorithm is 98%.

• 한국정보과학회논문지:정보통신
• /
• 제34권2호
• /
• pp.81-87
• /
• 2007

본 논문은 테스트 환경의 재구축에 의한 번거로움을 제거하고 손쉽게 테스트 환경을 재구성할 수 있는 리눅스 기반의 테스트 베드인 Network Traffic Control Test-bed(NTCT)를 구현하고 이를 활용한 실험 결과를 보인다. 본 논문에서 제시하는 NTCT는 원하는 사용자가 지정하는 네트워크 트래픽을 발생시키는 NS2 연동 트래픽 발생기와, 네트워크의 대역폭을 관리하여 실제 네트워크 상황과 유사한 환경을 유지시키는 트래픽 제어기, 그리고 성능 평가를 위한 실시간 네트워크 모니터로 구성되어 있다. 본 논문에서는 제시하는 NTCT를 이용하여 네트워크 성능을 평가하는 예제를 포함한다.

• 한국전자통신학회논문지
• /
• 제17권1호
• /
• pp.105-110
• /
• 2022

교통 표지 인식은 교통 관련 문제를 해결하는 데 중요한 역할을 한다. 교통 표지 인식 및 분류 시스템은 교통안전, 교통 모니터링, 자율주행 서비스 및 자율주행 차의 핵심 구성 요소이다. 휴대용 장치에 적용할 수 있는 경량 모델은 설계 의제의 필수 측면이다. 우리는 교통 표지 인식 시스템을 위한 잔여 블록이 있는 경량 합성곱 신경망 모델을 제안한다. 제안된 모델은 공개적으로 사용 가능한 벤치마크 데이터에서 매우 경쟁력 있는 결과를 보여준다.