• Title/Summary/Keyword: 목표 지점

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Flood Forecasting and Warning System using Real-Time Hydrologic Observed Data from the Jungnang Stream Basin (실시간 수문관측자료에 의한 돌발 홍수예경보 시스템 -중랑천 유역을 중심으로-)

  • Lee, Jong-Tae;Seo, Kyung-A;Hur, Sung-Chul
    • Journal of Korea Water Resources Association
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    • v.43 no.1
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    • pp.51-65
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    • 2010
  • We suggest a simple and practical flood forecasting and warning system, which can predict change in the water level of a river in a small to medium-size watershed where flash flooding occurs in a short time. We first choose the flood defense target points, through evaluation of the flood risk of dike overflow and lowland inundation. Using data on rainfall, and on the water levels at the observed and prediction points, we investigate the interrelations and derive a regression formula from which we can predict the flood level at the target points. We calculate flood water levels through a calibrated flood simulation model for various rainfall scenarios, to overcome the shortage of real water stage data, and these results as basic population data are used to derive a regression formula. The values calculated from the regression formula are modified by the weather condition factor, and the system can finally predict the flood stages at the target points for every leading time. We also investigate the applicability of the prediction procedure for real flood events of the Jungnang Stream basin, and find the forecasting values to have close agreement with the surveyed data. We therefore expect that this suggested warning scheme could contribute usefully to the setting up of a flood forecasting and warning system for a small to medium-size river basin.

Location Determination Scheme based on Proximity Position Data of a Target (목표물에 근접한 위치데이터를 사용한 2차원 위치추정방법)

  • Kim, Deok-Ki;Kim, Seung-Youl;Lee, Sang-Jin;You, Young-Gap
    • The Journal of the Korea Contents Association
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    • v.10 no.1
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    • pp.87-93
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    • 2010
  • This paper describes an improved location determination scheme based on the triangulation method calculating a target position. The proposed scheme uses coordinates of intersection points of three circles each generated by measurement of an observer. The target position obtained from the proposed scheme has higher accuracy not only at the vicinity, but also at the periphery of the observation area. The maximum error and the average error with the proposed scheme are reduced by 40.89% and 40.30%, respectively, with respect to conventional methods.

Evaluation for Current Discharge Measurement Network for Nakdong River Basin (낙동강수계 기존 유량측정망 평가)

  • Park, Jae-Beom;Kang, Du-Kee;Kim, Yong-Seok;Park, Bae-Kyeong;Shin, Hyun-Suk
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1804-1808
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    • 2008
  • 최적유역관리 및 수질개선을 목표로 시행되고 있는 오염총량관리제도의 실질적인 효과를 달성하기 위해서는 해당 유역의 현황, 오염물질 배출특성 규명, 기준유량 및 기준수질의 산정이 요구되며, 하천 수리 수문 수질 모형화를 위한 장기간의 수질.유량 변동의 조사 및 분석이 선차적인 과제이다. 환경부는 오염총량관리제의 효율적인 추진을 위해 2004년 8월부터 현재까지 8일 간격(30회 이상/년)으로 오염총량관리 단위유역 41개 지점과 시도요구 6개 지점 등 총 47개의 지점에 대해 직 간접적으로 유량자료를 생성하고 있다. 이에 따라 관측한 수질 및 유량 자료는 단위유역별 오염부하량 산정, 삭감부하량 할당 및 이행평가에 활용하고 있는 상태이다. 또한 건설교통부, 수자원공사 등의 수문관측 기관에서는 도산, 낙동, 금호 등의 단위유역 지점에 대한 유량측정을 실시하여 주요 수자원계획시 기초자료로 활용하고 있다. 본 연구는 낙동강 유역의 기존 건설교통부, 수자원공사 관측망 측점지점에 대한 자료의 결측수 및 결측율, 수위-유량 관계곡선식 등의 정확도를 표준오차 및 불확실도를 정량적으로 산정하여 유량측정결과의 오염 총량과리를 위한 이용 가능성을 평가 및 소개하고자 한다.

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Sensor Based Path Planning and Obstacle Avoidance Using Predictive Local Target and Distributed Fuzzy Control in Unknown Environments (예측 지역 목표와 분산 퍼지 제어를 이용한 미지 환경에서의 센서 기반 경로 계획 및 장애물 회피)

  • Kwak, Hwan-Joo;Park, Gwi-Tae
    • Journal of IKEEE
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    • v.13 no.2
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    • pp.150-158
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    • 2009
  • For the autonomous movement, the optimal path planning connecting between current and target positions is essential, and the optimal path of mobile robot means obstacle-free and the shortest length path to a target position. Many actual mobile robots should move without any information of surrounded obstacles. Thus, this paper suggests new methods of path planning and obstacle avoidment, suitable in unknown environments. This method of path planning always tracks the local target expected as the optimal one, and the result of continuous tracking becomes the first generated moving path. This path, however, do not regard the collision with obstacles. Thus, this paper suggests a new method of obstacle avoidance resembled with the Potential Field method. Finally, a simulation confirms the performance and correctness of the path planning and obstacle avoidance, suggested in this paper.

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A technique for predicting the cutting points of fish for the target weight using AI machine vision

  • Jang, Yong-hun;Lee, Myung-sub
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.4
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    • pp.27-36
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    • 2022
  • In this paper, to improve the conditions of the fish processing site, we propose a method to predict the cutting point of fish according to the target weight using AI machine vision. The proposed method performs image-based preprocessing by first photographing the top and front views of the input fish. Then, RANSAC(RANdom SAmple Consensus) is used to extract the fish contour line, and then 3D external information of the fish is obtained using 3D modeling. Next, machine learning is performed on the extracted three-dimensional feature information and measured weight information to generate a neural network model. Subsequently, the fish is cut at the cutting point predicted by the proposed technique, and then the weight of the cut piece is measured. We compared the measured weight with the target weight and evaluated the performance using evaluation methods such as MAE(Mean Absolute Error) and MRE(Mean Relative Error). The obtained results indicate that an average error rate of less than 3% was achieved in comparison to the target weight. The proposed technique is expected to contribute greatly to the development of the fishery industry in the future by being linked to the automation system.

Improving Accuracy of RDAPS Prediction Precipitation using Artificial Neural Networks (인공신경망을 이용한 RDAPS 강수량 예측 정확도 향상)

  • Shin, Ju-Young;Choi, Gi-An;Jeong, Chang-Sam;Heo, Jun-Haeng
    • Proceedings of the Korea Water Resources Association Conference
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    • 2008.05a
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    • pp.1013-1017
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    • 2008
  • 이 연구는 기상수치예보 모델 중 지역수치예보모델인 RDAPS 모델을 이용하여 강우자료를 예측한 값과 실제 강우관측지점에서의 강우량을 비교해 보고 RDAPS 예측량의 정확도를 높이기 위한 연구이다. RDAPS 모델의 자료는 00UTC와 12UTC에 3시간 누적 자료를 48시간에 대해서 생성하고, 30km 격자망에 대한 정보를 담고 있기 때문에 1시간 간격으로 측정된 지점 강우량과의 비교를 위해서는 관측지점과 근거리 정보를 찾고 1시간 간격의 관측 자료를 3시간 누적강우량으로 바꾸는 전처리 과정이 필요하다. 실제 강우예측이 어려움을 겪는 것처럼 RDAPS의 예측 강우량과 관측 강우량은 큰 차이를 보이는 것으로 나타났다. 예측 강우량의 정확도를 높이고자 인공신경망을 적용하였다. 인공신경망이란 뇌기능의 특성 몇가지를 컴퓨터 시뮬레이션으로 표현하는 것을 목표로 하는 수학 모델이다. 강우수치예측 자료 외에도 RDAPS 모델에서 얻을 수 있는 풍향, 풍속, 상대습도, 기압, 온도 등의 다른 수치자료들을 이용하여 인공신경망을 이용하여 자료들의 패턴을 시뮬레이션 하여 정확도가 높은 예측값을 얻을 수 있었다.

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대유도탄 근접방어체계(CIWS)현황과 발전동향

  • Lee, Hyo-Geun
    • Defense and Technology
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    • no.8 s.138
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    • pp.42-48
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    • 1990
  • CIWS의 성능 및 유용성에 관한 토론은 안전한 실제시험의 구상이 어려우며, 성능입증자료가 부족하다. 유도탄이 안전하게 목표지점을 향해 접근할때 항상 대유도탄 방어체계가 준비되도록 제작자들은 요구받고 있다. 장래의 고객이 미 해군의 지연된 Goalkeeper체계의 평가결과를 아는 것은 가치가 있는 일이다. 그러나 미 해군은 Phalanx 체계에 대한 엑조세(Exocet)와 하-푼(Harpoon) 유도탄의 시험결과를 비밀에 부치고 있다.

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Improved Global Placement Technique to Relieve Routing Congestion (배선 밀집도를 완화하기 위한 개선된 광역배치 기법)

  • Oh, Eun-Kyung;Hur, Sung-Woo
    • Journal of KIISE:Computing Practices and Letters
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    • v.14 no.4
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    • pp.431-435
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    • 2008
  • Since previous work CDP(Congestion Driven Placement) [1] considers all possible directions to move every cell in nets which contribute highly to routing congestion, it consumes CPU time a lot. In this paper, we propose a faster global placement technique, so called ICDGP(Improved Congestion Driven Global Placement) to relieve the routing congestion. ICDGP uses the force-directed method to determine the target locations of the cells in the nets in the congested spots, and considers only to move the target location for each cell. If moving multiple cells simultaneously is considered better than moving each cell one by one it moves multiple cells simultaneously. By experimental results, ICDGP produces less congested placement than CDP does. Particularly, the CPU time is reduced by 36% on average.

Analysis of the Targeting Accuracy of KOMPSAT-1 EOC (아리랑위성1호EOC영상촬영의 지향정확도분석)

  • Jeon, Gap-Ho;Kim, Yun-Su;Seo, Du-Cheon
    • Aerospace Engineering and Technology
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    • v.5 no.2
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    • pp.220-226
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    • 2006
  • At present the KOMPSAT-1 is operating for seven years, though mission life time was only three years. We expect the KOMPSAT-1's mission for several years ahead, considering the KOMPSAT-1's current conditions. However, a question that the plan and the result was not equal have being arises. Recently, we attempted to take a picture of the Mount Everest. But we don't take a picture of the Mount Everest in the center of image. This paper make clear the difference between target center from operating commender and image center from received data, for the continual and stable KOMPSAT operation.

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Prediction of Water Quality Variation Caused by Dredging Urban River-bed (도시하천의 하상퇴적토 준설에 따른 수질변화 예측)

  • Jo, Hong-Je;Lee, Byeong-Ho;Kim, Jeong-Sik;Lee, Geun-Bae
    • Journal of Korea Water Resources Association
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    • v.35 no.2
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    • pp.137-148
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    • 2002
  • The purpose of this study was to examine the effect of water quality improvement due to dredging the bottom deposit at the downstream of a urban river. The finite difference method was used to analyze the water quality variations caused by the depths of dredging and intercepting ratios of the goal years. 21 boring points were selected along the 11.2km river reach running through a metropolitan city. The pollution levels of the deposits from the bored Points were examined by the leaching test. The improvement effect of the water quality, measured as changes of COD, were carried at under drought, minimal, and normal flow. The result indicates that the dredging of the contaminated sludge contributes the improvement of the water quality.