• 제목/요약/키워드: speed data

검색결과 8,853건 처리시간 0.039초

열차배열의 최적화 프로그램 개발 (A Development of Optimized Train Scheduling Program)

  • 류상환;;김길상
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 추계학술대회 논문집 학회본부
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    • pp.513-515
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    • 1995
  • A computer aided process is inevitable for the optimization of train operation planning. Developing of train diagrams is very important for the train operation planning. In this paper, the user friendly program related to the train scheduling that can be used for the basic data on developing of train diagram is introduced. It can also provide basic data for other train operation plannings, such as Timetabling, Crew Operation Scheduling, etc. It provides the planner with data moving, data changing and zooming functions, and it can assist the user easily produces their optimal solution. All this operations are performed interactively through graphic windows.

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원격 로봇선에 의한 운항속도에 따른 수심측량의 정확도 분석 (Accuracy Analysis of Sounding Data Caused by Speed of Robot-ship)

  • 최병길;박홍기;조광희
    • 대한공간정보학회지
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    • 제15권4호
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    • pp.111-116
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    • 2007
  • 본 연구의 목적은 DGPS와 음향측심기를 장착한 소형의 로봇선을 이용하여 저수지의 수심정보를 획득하고 이를 이용하여 정확도를 분석하는데 있다. 즉 로봇선의 속도를 변화시키고 이에 따른 속도별 수심측정의 정확도를 분석하였다. 현장실험 결과, 로봇선의 속도가 느릴수록 수심측정의 오차가 적었으며, 로봇선의 속도가 5km/hr까지는 정규분포의 신뢰구간인 95% 이내에 포함되는 것을 알 수 있었다.

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스파크 점화기관의 드웰각 변화에 의한 사이클 변동에 관한 연구 (A study of cycle-to-cycle variations with dwell angle in spark ignition engines)

  • 한성빈
    • 대한기계학회논문집B
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    • 제21권12호
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    • pp.1701-1709
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    • 1997
  • The diagnostic used to observe the early flame development was a fiber optic spark plug, which enabled measurement of the flame front arrival times on a cycle-to-cycle basis. The data obtained with this fiber optic spark plug were analyzed to obtain two parameters to describe the behavior of the flame kernel : an expansion speed and a convection velocity. In addition, synchronized cylinder pressure data were taken to compare with the fiber optic spark plug data on a cyclic basis. Heat release analysis was performed on the cylinder pressure data to obtain the mass burning profile of the charge for each cycle. There was a significant correlation observed in the initial flame duration and the kernel expansion speed with dwell angle.

해상풍력 구조물 설계를 위한 풍황 특성분석 (Analysis on wind condition characteristics for an offshore structure design)

  • 서현수;경남호;;김현구
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 추계학술대회 논문집
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    • pp.262-267
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    • 2008
  • The long-term wind data are reconstructed from the short-term meteorological data to design the 4 MW offshore wind park which will be constructed at Woljeong-ri, Jeju island, Korea. Using two MCP (Measure-Correlate-Predict) models, the relative deviation of wind speed and direction from two neighboring reference weather stations can be regressed at each azimuth sector. The validation of the present method is checked about linear and matrix MCP models for the sets of measured data, and the characteristic wind turbulence is estimated from the ninety-percent percentile of standard deviation in the probability distribution. Using the Gumbel's model, the extreme wind speed of fifty-year return period is predicted by the reconstructed long-term data. The predicted results of this analysis concerning turbulence intensity and extreme wind speed are used for the calculation of fatigue life and extreme load in the design procedure of wind turbine structures at offshore wind farms.

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고속철도 궤도검측 자료 분석기법에 관한 연구 (A Study of Analysis Method for the Track Geometry Measuring Data on High Speed Railway)

  • 강기동
    • 한국철도학회논문집
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    • 제7권4호
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    • pp.291-295
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    • 2004
  • The Track geometry measuring on High-speed railway is the most important subject for the track construction and track maintenance work. Also the measuring accuracy is so significant part because it provides principle data for the maintenance plan and the assesment of working quality and can control the train speed limitation. From this point of view, it is very important to verify for the track recording coach(EM120) in KNR. According to the result of spectrum analysis, the noise near 1m waveband was found on the track recording data from EM120. So, New filter has been applied to remove the noise form track recording data. and it makes possible to acquire resembling result to real track geometry.

망막 두께 측정을 위한 32채널 영상획득장치 개발 (Development of 32-Channel Image Acquisition System for Thickness Measurement of Retina)

  • 양근호;유병국
    • 융합신호처리학회 학술대회논문집
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    • 한국신호처리시스템학회 2003년도 하계학술대회 논문집
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    • pp.110-113
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    • 2003
  • In this paper, the multi-channel high speed data acquisition system is implemented. This high speed signal processing system for 3-D image display is applicable to the manipulation of a medical image processing, multimedia data and various fields of digital image processing. In order to convert the analog signal into digital one, A/D conversion circuit is designed. PCI interface method is designed and implemented, which is capable of transmission a large amount of data to computer. In order to, especially, channel extendibility of images acquisition, bus communication method is selected. By using this bus method, we can interface each module effectively. In this paper, 32-channel A/D conversion and PCI interface system for 3-dimensional and real-time display of the retina image is developed. The 32-channel image acquisition system and high speed data transmission system developed in this paper is applicable to not only medical image processing as 3-D representation of retina image but also various fields of industrial image processing in which the multi-point realtime image acquisition system is needed.

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진화적 비선형 보정 및 SVM 분류에 의한 강풍 특보 예측 기법 (Evolutionary Nonlinear Compensation and Support Vector Machine Based Prediction of Windstorm Advisory)

  • 서기성
    • 전기학회논문지
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    • 제66권12호
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    • pp.1799-1803
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    • 2017
  • This paper introduces the prediction methods of windstorm advisory using GP nonlinear compensation and SVM. The existing special report prediction is not specialized for strong wind, such as windstorm, because it is based on the wide range of predicted values for wind speed from low to high. In order to improve the performance of strong wind reporting prediction, a method that can efficiently classify boundaries of strong wind is necessary. First, evolutionary nonlinear regression based compensation technique is applied to obtain more accurate values of prediction for wind speed using UM data. Based on the prediction wind speed, the windstorm advisory is determined. Second, SVM method is applied to classify directly using the data of UM predictors and windstorm advisory. Above two methods are compared to evaluate of the performances for the windstorm data in Jeju Island in South Korea. The data of 2007-2009, 2011 year is used for training, and 2012 year is used for test.

Speed-up of the Matrix Computation on the Ridge Regression

  • Lee, Woochan;Kim, Moonseong;Park, Jaeyoung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권10호
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    • pp.3482-3497
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    • 2021
  • Artificial intelligence has emerged as the core of the 4th industrial revolution, and large amounts of data processing, such as big data technology and rapid data analysis, are inevitable. The most fundamental and universal data interpretation technique is an analysis of information through regression, which is also the basis of machine learning. Ridge regression is a technique of regression that decreases sensitivity to unique or outlier information. The time-consuming calculation portion of the matrix computation, however, basically includes the introduction of an inverse matrix. As the size of the matrix expands, the matrix solution method becomes a major challenge. In this paper, a new algorithm is introduced to enhance the speed of ridge regression estimator calculation through series expansion and computation recycle without adopting an inverse matrix in the calculation process or other factorization methods. In addition, the performances of the proposed algorithm and the existing algorithm were compared according to the matrix size. Overall, excellent speed-up of the proposed algorithm with good accuracy was demonstrated.

과수원 환경에서의 방제기 무인주행 기술 개발 (Development of Unmanned Driving Technologies for Speed Sprayer in Orchard Environment)

  • 이송;강동엽;이혜민;안수용;권우경;정윤수
    • 대한임베디드공학회논문지
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    • 제15권6호
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    • pp.269-279
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    • 2020
  • This paper presents the design and implementation of embedded systems and autonomous path generation for autonomous speed sprayer. Autonomous Orchard Systems can be divided into embedded controller and path generation module. Embedded controller receives analog sensor data, on/off switch data and control linear actuator, break, clutch and steering module. In path generation part, we get 3D cloud point using Velodyne VLP16 LIDAR sensor and process the point cloud to generate maps, do localization, generate driving path. Then, it finally generates velocity and rotation angle in real time, and sends the data to embedded controller. Embedded controller controls steering wheel based on the received data. The developed autonomous speed sprayer is verified in test-bed with apple tree-shaped artworks.

속도위반단속시스템에 의한 주행속도 특성 변화에 관한 연구 (A Study on the Variations of Runing Speed Characteristics by Automated Speed Enforcement System)

  • 김완기;류부형
    • 한국안전학회지
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    • 제25권2호
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    • pp.78-83
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    • 2010
  • An installation of automated speed enforcement system(ASES) was known for traffic safety and accident preventive effects that traffic characteristics transmute by speed distribution stabilizing. This study is verified the variations of average speed, 85% speed, speed distribution and dispersion as traffic characteristics depend on enforcement system influences in the road. We tested selected 5 areas. By and large, it has a little differences depend on road geometric structure and traffic environment but that is not too much. After all, after automated speed enforcement system installed in all of test areas, average speed, 85% accumulated speed, speed distribution and dispersion characteristics were declined and equalized. The speed dispersion was smaller than before installed the ASES. The speed dispersion value of each case that is the limited speed has been 70Km/h, 80Km/h at flat and straight, 80Km/h at downhill and straight or downhill and left-curved area was 77.3%, 65.2%, 68.7% and 54.1%. Each of the data was declined. We could analyze that average speed distributed depletion factor was declined rapidly by 66.3% in test area.