• Proceedings of the Korea Water Resources Association Conference
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• 2007.05a
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• pp.633-637
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• 2007

하천환경 복원사업이나 자연형하천 정비사업의 근본 목표는 그 하천 고유의 하천경관이나 생태계 등 특성을 회복(Rehabilitation)시키거나 복원(Restoration)하는 것이다. 현재 이 치수기능 확보를 위한 댐 보의 건설, 하천정비 및 골재채취 등 하천의 인공화가 계속되고 있으며, 이에 따른 하천 및 하도의 물리, 화학, 생물에 미치는 영향은 심각한 수준이다. 이러한 하천의 인위적 교란은 요인, 규모, 빈도 및 강도는 다르지만 하천생태 서식처의 물리적, 화학적 특성이 변형, 변질되어 하천생태계가 변화, 단절, 절멸되는 심각한 상태가 빈발하고 있다. 하천교란(River disturbance)은 요인에 따라 유량 및 유사량 변화, 하상변동, 하도준설, 인공호안, 생태통로 차단 등 하천의 물리적 환경 변화를 초래하고, 그에 따른 영향으로 생물종의 감소 및 단순화, 개체수 감소 등과 같이 하천 생태계가 변화하게 된다. 그러나 하천의 교란평가에 대한 연구가 미흡하고, 또한 표준화된 평가체제가 구축되어 있지 않을 뿐 만 아니라 하천환경의 복원에 대한 의식 보급도 부족한 것이 현실이다. 따라서, 본 연구에서는 하천의 교란정도를 파악하기 위한 하천교란평가기법 개발을 위한 전단계로서 일본의 하천수변 국세조사, 영국의 River Habitat Survey, 호주의 River Assessment System, 미국의 Stream Corridor Restoration 등에서 제시하는 하천모니터링 및 평가체제를 비교, 분석하였다. 외국사례 분석 결과를 토대로 하천교란 요인을 하천정비, 댐건설, 골재채취로 유형화하고 교란요인별 조사해야 할 물리적 인자로서 유량, 유사량, 하도 제원, 특징적 내용, 하도형상, 여울과 소, 점사주, 인공구조물, 제방 호안의 재료 및 특징 등으로 선정, 검토하였으며, 생태계 인자로서는 제방 마루의 토지이용 및 식생구조, 하도의 식생유형, 하도주변 토지이용, 하안(bank) 형상 및 구조, 수종 및 구조, 하도 및 하안 특징 및 구조 등으로 선정, 검토하였다. 이상의 하천교란과 관계되는 지표를 선정하여 물리적, 생태적 조사 및 교란평가기법(안)을 개발, 제시하였다.

• Journal of Korea Game Society
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• v.14 no.2
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• pp.55-66
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• 2014

Image warping is a technology to transform input images to be suitable for given conditions and has been recently utilized in changing face shape of characters in the field of movies or animation. Mesh warping which is one of warping methods that change shapes based on the features of face forms warping images by forming rectangular mesh groups around the eyes, nose, and mouth and matching them 1:1. This method has a problem in the resultant images are distorted in the segments of boundaries between meshes when there are errors in mesh control points or when meshes have been formed as many small area meshes. This study proposes a triangle based image interpolation technique to minimize the occurrence of errors in the process of forming natural warping images of face and process accurate results with a small amount of arithmetic operation and a short time. First, feature points that represent the face are found and these points are connected to form basic triangle meshes. The fact that the proposed method can reduce errors occurring in the process of warping while reducing the amount of arithmetic operation and time is shown through experiments.

• Journal of the Korean Society of Propulsion Engineers
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• v.25 no.3
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• pp.42-55
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• 2021

In this study, the effect of nozzle performance according to the selection of the center line equation. Three of S-type nozzles and three of double S-type nozzles were designed using the curve equation and design parameters, and the nozzle shielding performance was evaluated using the shielding ratio definition. In order to analyze the internal flow of the nozzle, the characteristics of the velocity distribution and pressure distribution were studied, and the nozzle performance was evaluated through the total thrust ratio(f) and the nozzle insulation efficiency coefficient(η). On the other hand, the centerline with a sharply change in curvature at the entrance has a low nozzle performance and a high shielding rate. The double S-type nozzle is excellent nozzle performance and shielding rate by using a smooth centerline at the first curvature.

• Journal of KIISE:Software and Applications
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• v.35 no.10
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• pp.616-626
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• 2008

The face shape extracted by the depth values has different appearance as the most important facial feature information and the face images decomposed into frequency subband are signified personal features in detail. In this paper, we develop a method for recognizing the range face images by combining the multiple frequency domains for each depth image and depth fusion using fuzzy integral. For the proposed approach, the first step tries to find the nose tip that has a protrusion shape on the face from the extracted face area. It is used as the reference point to normalize for orientated facial pose and extract multiple areas by the depth threshold values. In the second step, we adopt as features for the authentication problem the wavelet coefficient extracted from some wavelet subband to use feature information. The third step of approach concerns the application of eigenface and Linear Discriminant Analysis (LDA) method to reduce the dimension and classify. In the last step, the aggregation of the individual classifiers using the fuzzy integral is explained for extracted coefficient at each resolution level. In the experimental results, using the depth threshold value 60 (DT60) show the highest recognition rate among the regions, and the depth fusion method achieves 98.6% recognition rate, incase of fuzzy integral.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.1
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• pp.59-68
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• 1999

Recently, research and developmental direction of communication system is concurrent adopting voice data and face image in speaking to provide more higher recognition rate then in the case of only voice data. Therefore, we present a method of lipreading in speech image sequence by using the 3-D facial shape model. The method use a feature information of the face image such as the opening-level of lip, the movement of jaw, and the projection height of lip. At first, we adjust the 3-D face model to speeching face image sequence. Then, to get a feature information we compute variance quantity from adjusted 3-D shape model of image sequence and use the variance quality of the adjusted 3-D model as recognition parameters. We use the intensity inclination values which obtaining from the variance in 3-D feature points as the separation of recognition units from the sequential image. After then, we use discrete HMM algorithm at recognition process, depending on multiple observation sequence which considers the variance of 3-D feature point fully. As a result of recognition experiment with the 8 Korean vowels and 2 Korean consonants, we have about 80% of recognition rate for the plosives and vowels. We propose that usability with visual distinguishing factor that using feature vector because as a result of recognition experiment for recognition parameter with the 10 korean vowels, obtaining high recognition rate.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.2
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• pp.339-345
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• 2002

Extracting of car licens plate os important for identifying the car. Since there are some problems such as poor ambient lighting problem, bad weather problem and so on, the car images are distorted and the car license plate is difficult to be extracted. This paper proposes a method of extracting car license plate using motor vehicle regulation. In this method, some features of car license plate according to motor vehicle regulation such as color information, shape are applied to determine the candidate of car license plates. For the result of recognition by neural network, the candidate which has characters and numbers patterns according to motor vehicle regulation is certified as license-plate region. The results of the experiments with 70 samples of real car images shoe the performance of car license-plate extraction by 84.29%, and the recognition rate is 80.81%.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.6
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• pp.464-468
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• 2009

In this paper we propose an image-based approach, which is different from the traditional flow cytometric method to detect shape of apoptosis cells. This method can overcome the defects of cytometry and give precise recognition of apoptosis cells. In this work K-means clustering was used to do the rough segmentation and an active contour model, called 'snake' was used to do the precise edge detection. And then some features were extracted including physical feature, shape descriptor and texture features of the apoptosis cells. Finally a Mahalanobis distance classifier classifies the segmentation images as apoptosis and non-apoptosis cell.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2001.10a
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• pp.596-599
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• 2001

Extracting of car licens plate is important for identifying the car. Since there are some problems such as poor ambient lighting problem, bad weather problem and so on, the car images we distorted and the tar license plate is difficult to be extracted. This paper proposes a method of extracting car license plate using motor vehicle regulation. In this method, some features of car license plate according to motor vehicle regulation such as color information, shape are applied to determine the candidate of car license plates. For the result of recognition by neural network, the candidate which has characters and numbers patterns according to motor vehicle regulation is certified as license-plate region. The results of the experiments with 70 samples of real car images shoe the performance of car license-plate extraction by 84.29%, and the recognition rate is 80.81%.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.38 no.9
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• pp.1037-1041
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• 2014

Slurry used for polishing semiconductors processed by exchange, pressurization, and multi-step feeding has been studied to investigate the effect of the size and shape of slurry particles on the oxide CMP removal rate. First, spherical silica sol was prepared by the ion exchange method. The spherical silica particle was used as a seed to grow non-spherical silica sol in accordance with the multi-step feeding of silicic acid by the ion exchange and pressurization methods. The oxide removal rate of both non-spherical silica sol and commercially available slurry were compared with increasing average particle size in the oxide CMP. The more alkaline the pH level of the non-spherical silica sol, the higher was the removal rate and non-uniformity.

• Korean Journal of Optics and Photonics
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• v.14 no.5
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• pp.504-508
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• 2003

We present a new point-diffraction interferometer, which has been devised for the three-dimensional profile measurement of light scattering rough surfaces. The interferometer system has multiple sources of two-point-diffraction and a CCD camera composed of an array of two-dimensional photodetectors. Each diffraction source is an independent two-point-diffraction interferometer made of a pair of single-mode optical fibers, which are housed in a ceramic ferrule to emit two spherical wave fronts by means of diffraction at their free ends. The two spherical wave fronts then interfere with each other and subsequently generate a unique fringe pattern on the test surface. A He-Ne source provides coherent light to the two fibers through a 2${\times}$l optical coupler, and one of the fibers is elongated by use of a piezoelectric tube to produce phase shifting. The xyz coordinates of the target surface are determined by fitting the measured phase data into a global model of multilateration. Measurement has been performed for the warpage inspection of chip scale packages (CSPs) that are tape-mounted on ball grid arrays (BGAs) and backside profile of a silicon wafer in the middle of integrated-circuit fabrication process. When a diagonal profile is measured across the wafer, the maximum discrepancy turns out to be 5.6 ${\mu}{\textrm}{m}$ with a standard deviation of 1.5 ${\mu}{\textrm}{m}$.