• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2013.06a
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• pp.293-298
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• 2013

This research develops an ultrasonic sensor to measure the distance in underwater. The ultrasonic transducer transmits an acoustic signal to an object and receives the echo signal reflected from the object. The ultrasonic driver calculates a distance by multiplying the acoustic speed to the time of flight(TOF) which is the time necessary for the acoustic signal to travel from the transducer to the object. We apply a thresholding and a cross correlation methods to detect the TOF and show their results. When an echo pulse is corrupted with noise and its shape is distorted, the cross correlation method is used to find the TOF based on the maximum similarity between the reference and the delayed echo signals. The echoes used for the reference signal are achieved at the different environments, which improves the performance of the sensor. This paper describes the driver of the acoustic sensor and analyzes the performance of sensors in different measurement environments.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.8 no.2
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• pp.23-29
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• 1990

Non-metric camera is more profitable than metric camera for geometric analysis of small and elaborate structures, because focal length control of non-metric camera is flexible while generally metric camera has limited focal length. And if the problem of conventional method requiring much time and endeavor to measure three dimensional positions of control points will be solved effectively, it is possible to analyze very close-range photogrammetry more easily and quickly. The purposes of this study are to propose the efficiency of non-metric camera and to reduce difficulty of control survey sharply by introducing self-control survey method. For these, very close-range photographs of the small object were obtained by using non-metric camera calibrated for systematic errors and then bundle adjustment is used for analysis procedure. As a result, the superiority of non-metric camera in analyzing very close-range photographs and the application proptriety of self-control survey were proved, therefore it is expected to be able to apply to precise analysis of small structures or spearhead parts.

• Proceedings of the Korea Information Processing Society Conference
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• 2003.11a
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• pp.571-574
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• 2003

본 논문에서는 다중해상도에서 기존의 그레이 블록 거리(grey biock distance; GBD, 이하 GBD)알고리즘과 비교하여 이차원 영상간의 상대적 식별을 더 용이하게 하기 위한 새로운 GBD 알고리즘 방법을 제안한다. 이 제시된 방법은 다중해상도에서 기존의 GBD 알고리즘과 비교해서 영상이 급격히 변화하는 부분의 정보를 잃지 않게 개선할 수 있었다. 모의 실험 예로서 주성분분석(principal component analysis; 이하 PCA) 기법을 적용하여 유용성과 제안된 방법이 이전의 연구보다 k가 감소할 때 편차는 줄어들어 좋은 영상 분류 특징을 보였으며, 첨도(Kurtosis)에서의 영상간의 거리 측정 결과 첨도가 가지고 있는 특성에 의해 영상 분류 시 매우 민감한 반응을 나타내어 k가 4까지만 블록을 분할 할 수 있음을 모의 실험을 통하여 확인할 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.3
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• pp.369-374
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• 2004

A cluster merging algorithm that merges convex clusters resulted by the Fuzzy Convex Clustering(FCC) method into non-convex clusters was proposed. This was achieved by proposing a fast and reliable distance measure between two convex clusters using Support Vector Machines(SVM) to improve accuracy and speed over other existing conventional methods. In doing so, it was possible to reduce cluster number without losing its representation of the data. In this paper, results for several data sets are given to show the validity of our distance measure and algorithm.

• Proceedings of the Korean Information Science Society Conference
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• 2005.11b
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• pp.718-720
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• 2005

웹 문서를 대상으로 하는 정보 추출이나 웹 마이닝에 관한 연구가 활발히 진행되면서 특히, 웹에서 나타나는 구조적 패턴을 이용해 정보를 추출하는 방법에 대한 연구가 이루어 지고 있다. 기존의 연구는 HTML을 단순 문자열로 취급하였으나 연구가 거듭됨에 따라 트리로 접근하는 방안에 대해 논의가 되었으며 성능 또한 우수한 것으로 평가되고 있다. 하지만, 기존의 트리 편집 거리의 기법은 모든 노드가 동일한 값을 가진다는 가정하에 진행되는 것으로 HTML의 특성과는 맞지 않다. HTMI은 브라우저에 정보를 보여주기 위한 도구이며 실제 브라우저에 보여지는 내용의 비율이 트리에서의 노드의 비율과 항상 같은 것은 아니기 때문이다. 이 논문에서는 위와 같은 HTML의 특성을 이용하여 노드가 가진 정보의 크기에 따라 서로 다른 비율의 기여도를 부여하고, 이를 고려한 개선된 트리 편집 거리 측정 알고리즘을 이용하여 좀더 나은 패턴 추출 방법을 제안하고자 한다.

• Journal of Gastric Cancer
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• v.6 no.3
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• pp.161-166
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• 2006

Purpose: Recently, the incidence of early gastric cancer (EGC) patients is rapidly increased in Korea. However, they're often not perceptible by surgical palpation or inspection. The aim of this study is 1) to develope a software that can locate the tumor and measure the mucosal distance from an anatomic landmark to the tumor using CT gastrography and 2) to compare the distance measured by the developed software with the distance measured by the pathologic findings. Materials and Methods: Between January 2004 and September 2005, sixty patients (male=45, female=15, mean 57.8 years old) estimated for EGC with preoperative CT scans and undergone gastrectomies in Kyungpook National University Hospital were enrolled in this study. Preoperative CT scans were performed after insufflations of room air via 5 Fr NG tube. The scans included the following parameters: (slice thickness/reconstruction interval: 0.625 mm, kVp: 120, mAs: 200). 3D volume rendering and measurement of the surface distance from the pylorus to the EGC were performed using the developed software. Results: The average difference between the lesion to pylorus distances measured from pathologic specimens and CT gastrography was $5.3{\pm}2.9\;mm(range,\;0{\sim}23\;mm)$. The lesion to pylorus distance measured from CT gastrography was well correlated with that measured from the pathologic specimens (r=0.9843, P<0.001). Conclusion: These results suggest that the surface distance from an anatomic landmark to the EGC can be measured accurately by CT gastrography. This technique could be used for preoperative localization of early gastric carcinomas to determine the optimal extent of surgical resection.

• Proceedings of the IEEK Conference
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• 1998.06a
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• pp.255-258
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• 1998

이동로봇이 움직이는 물체를 추적하는 기능을 갖도록 하기 위해서는 움직이는 물체의 존재를 판단하고 위치 및 속도벡터를 측정해야 한다. 본 논문은 단시간에 이동 물체의 위치와 속도벡터 추정하여 실시간 추적이 가능하도록 하기 위해 초음파센서를 이용한 가상의 초음파영상 해석방법을 제안한다. 초음파 영상은 초음파센서의 매회 측정값을 누적하여 구성하며 거리축과 시간축을 갖는 2차원 영상으로 표현된다. 영상에서 측정된 물체가 만드는 선분의 기울기에 따라 이동하는 물체와 정지한 물체를 분리하고 속도를 측정한다. 제안된 방법은 시뮬레이션을 통해 타당성을 입증하였다.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.4
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• pp.289-295
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• 2015

This paper describes a ground monocular vision-based measurement algorithm measuring relative range and position of aircraft using the information of wingspan and optical parameters for the camera. A technique obtaining an aircraft image is also described in this paper. This technique can be used as external measurement for autonomous landing instead of ILS. To verify the performance of these algorithms, flight experiment is performed using light sport aircraft with GPS and monocular camera. Finally we obtained the reasonable RMSE of 1.85m is obtained.

• Journal of Korean Society of Transportation
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• v.23 no.7 s.85
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• pp.53-61
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• 2005

The Seoul City Government recently reformed the entire public transport system in an effort to prevent further deterioration in urban bus system's performance and service level. To analyze into impact on the productivity of Seoul's urban bus firms, this paper measures firm-level technical efficiency and productivity change with data envelopment analysis and Malmquist index approach. The paper then conceptualizes that these forms produce three kinds of output (bus-kilometers, passengers, or bus-kilometers and passengers) using five inputs (driver, maintenance, management, vehicle and fuel). The findings show that most (over one half) firms experienced a decline (an improvement) in productivity in the case of specifying only bus-kilometers (passengers) as output. As a result, it is discovered that an average firm had no change in productivity in the case of combining bus-kilometers and passengers as output. This is because the efficiency of an average firm declined due to increase in employees per bus and to an decrease in kilometers per bus. while its effectiveness improved due to an increase in passengers per bus which was caused by an increase in routes and a change in fare structure.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37C no.12
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• pp.1271-1280
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• 2012

In the recent parking assistant systems, finding out the distance to the object behind a car is often performed by the range sensors such as ultrasonic sensors, radars. However, the installation of additional sensors on the used vehicle could be difficult and require extra cost. On the other hand, the motion stereo technique that extracts distance information using only an image sensor was also proposed. However, In the stereo rectification step, the motion stereo requires good features and exacts matching result. In this paper, we propose a fast algorithm that extracts the accurate distance information for the parallel parking situation using the consecutive images that is acquired by a rear-view camera. The proposed algorithm uses the quadrangle transform of the image, the horizontal line integral projection, and the blocking-based correlation measurement. In the experiment with the magna parallel test sequence, the result shows that the line-accurate distance measurement with the image sequence from the rear-view camera is possible.