• Radiation Oncology Journal
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• v.5 no.1
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• pp.37-41
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• 1987

Angiofollicular lymph node hyperplasia (AFLNH) with well marginated lymphoid masses, is a rare benign disease of unknown etiology. The majority of the disease develop intrathoracically. Histologically this disease can be divided into the hyaline-vascular and the plasma cell types with the hyaline-vascular type prevailing. The plasma cell variant has been associated with nephrotic syndrome, anemia, growth failure, fever, hyperglobulinemia, peripheral neuropathy, and hypoalbuminemia. Surgical resection is known to be treatment of choice in most cases, and radiotherapy is reserved for advanced, unresectable lesions. We report a complete remission of AFLNH in a case treated by sugical excision followed by irradiation.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.42 no.3 s.303
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• pp.7-14
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• 2005

In this paper we proposed the block-based color image segmentation method using the cylindrical metric to solve the problems such as long processing time and over segmentation due to noise and texture properties in the conventional methods. In the proposed method we define the new similarity function and the merge condition between regions to merge initial regions with the same size considering the color and texture properties of chromatic and achromatic regions which is defined according to the HSI color values, and we continue to merge boundary blocks into the adjacent region already segmented to maintain edges until the size of block is one. In the simulation results the proposed method is better than the conventional methods in the evaluation of the segmented regions of texture and edge region, and we found that the processing time is decreased by factor of two in the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.142-149
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• 2004

It is important to retrieve exact information coinciding with user's need from lots of Usenet news and filter desired information quickly. Differently from email system, we must previously register our interesting news group if we want to get the news information. However, it is not easy for a novice to decide which news group is relevant to his or her interests. In this work, we present a service classifying user preferred news groups among various news groups by the use of Kohonen network. We first extract candidate terms from example documents and then choose a number of representative keywords to be used in Kohonen network from them through fuzzy inference. From the observation of training patterns, we could find the sparsity problem that lots of keywords in training patterns are empty. Thus, a new method to train neural network through reduction of unnecessary dimensions by the statistical coefficient of determination is proposed in this paper. Experimental results show that the proposed method is superior to the method using every dimension in terms of cluster overlap defined by using within cluster distance and between cluster distance.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.6
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• pp.88-100
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• 1998

In this paper, an algorithm for a real-time automatic fingerprint identification system is proposed. The fingerprint feature volume is extracted by considering distinct and local characteristics(such as intensity and image quality difference etc.) in fingerprint images, which makes the algorithm properly adaptive to various image acquisitionj methods. Also the matching technique is designed to be invariant on rotation, scaling and translation (RST) changes while being capable of real-time processing. And the classification of fingerprints is performed based on the ridge flow and the relations among singular points such as cores and deltas. The developed fingerprint identification algorithm has been applied to various sets of fingerprint images such as one from NIST(National Institute of Standards and Technology, USA), a pressed fingerprint database constructed according to Korean population distributions in sex, ages and jobs, and a set of rolled-than-scanned fingerprint images. The overall performance of the algorithm has been analyzed and evaluated to the false rejection ratio of 0.07% while holding the false acceptance ratio of 0%.

• Journal of Korea Soil Environment Society
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• v.2 no.3
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• pp.81-88
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• 1997

The purpose of this study is to assess contaminant transfer and environmental impacts to the surroundings by inadequate control of USTs. Several methodologies can be used in sampling procedure for the site assessment depending on the appearance of contaminants on the site and their types. In this case study because of site contaminants, randomized and/or triangle matrix techniques were used. As a result, the composition of materials in OO gas station were appeared in several status. From 1 to 2.5m depth, the soil was composed of silty sand and gravel, around 4m depth, weathered rock was appeared. Based on the preliminary and actual site investigation by DPT methodologies on the width and depth of the site with analysis of BTEX and TPH, no contamination was found in OO gas station, however, in one point because of careless dumping after refill by oil company, about 1731. 5 ppm of TPH appeared.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.2
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• pp.140-146
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• 1989

An efficient quantization and encoding of BTC (Block Truncation Coding) parameters {($Y_{\alpha},\;Y_{\beta}),\;P_{{\beta}/{\beta}}$} are investigated, In our algorithm 4${\times}$4 blocks are classified into flat or edge block. While edge block is represented by two approximation level $Y_{\alpha},\;Y_{\beta}$ with label plane $P_{{\beta}/{\beta}}$, flat block is represented by single approximation level Y. The approximation levels Y, $Y_{\alpha}$ and $Y_{\beta}$ are encoded by predictive quatization specially designed, and the label plane $P_{{\beta}/{\beta}}$ is tried to be encoded using stored 32 reference plantes. The performance of the proposed scheme has appeared comparable to much more complex transform coding in terms of SNR, although it requires more study on the representation of small slope in background.

• Journal of the Korean Institute of Intelligent Systems
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• v.19 no.3
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• pp.304-310
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• 2009

In this paper, target extraction method in FLIR(forward-looking infrared) images based on fuzzy thresholding which used bi-modality and adjacency to determine membership value is proposed. The bi-modality represents how a pixel is classified into a part of target using distribution of pixel values in a local region, and The adjacency is a measure to represent how each pixel is far from the target region. First, membership value is calculated using above two measures, and then fuzzy thresholding is performed to extract the target. To evaluate performance of proposed target extraction method, we compare other segmentation methods using various FLIR tank image. Experimental results show that the proposed algorithm is a good segmentation performance.

• Journal of the Korea Convergence Society
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• v.6 no.5
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• pp.131-142
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• 2015

The aim of study is to present a better teaching strategy to reduce writing errors of Chinese learners of Korean language after finding out what reasons of errors were after analyzing of their writing errors in Korean language. Analyzed contents were writhing in Korean language of 'how I think Korean', 'about Chinese and Korean culture', 'friends' and analyzed what errors were occurred. The vocabulary errors frequencies were counted by the criteria which was set by a researcher. The results were as follows. The frequency of substitute error was the most and were followed by spelling error, wrong type error, omission error and adding error. It is suggested when we teach Korean Language to Chinese learners and develop text for them, the vocabularies should be presented with examples of how to be used in context instead of presenting only vocabulary on the text. It would be a better way to reduce writing errors of Chinese learners of Korean language.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.18 no.2
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• pp.157-168
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• 1993

In this paper, it is shown that neural networks trained with back propagation algorithm and dictionary can be applied to recognize handwritten English characters. To eliminate the useless data part and to minimize the variety of characters from the scanned image file, various preprocessings : that is, segmentation, centering, noise filtering, sealing and thinning are performed. After these, characteristic features are derived from thinned character pattern. The neural network is trained by using the extracted features for sample data, and all test data are classified into English alphabets according to their features through the neural network. Finally, the ways of reducing learning time and improving recognition rate, and the relationship between learning time and hidden layer nodes are considered. As a result of this study, after successful training, a high recognition rate has been obtained with this system for the trained patterns and about 93% for test patterns. Using dictionary, the recognition rate was about 97% for test pattern.

• Proceedings of the Korean Vacuum Society Conference
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• 2012.02a
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• pp.233-233
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• 2012

나노입자가 가지는 고유한 특성이 부각되면서 이를 소자 특성 향상에 응용하고자 하는 연구가 집중적으로 이루어지고 있다. 박막에 포함된 나노입자는 메모리, 고효율 박막형 태양전지 등에 이용될 수 있는 가능성을 보여주었으며, 나노입자에 기반 하는 소자 제조에 관한 연구가 이루어지면서 플라즈마 내 발생하는 나노입자를 이용하여 패터닝 등에 적용하고자 하는 연구가 국내외에서 활발히 이루어지고 있다. 특히 플라즈마에서 발생하는 나노입자는 플라즈마 내 전기적 및 화학적 특징으로 인해 다른 입자 제조 공정과 달리 응집이 없는 균일한 입자를 제조할 수 있다. 이러한 플라즈마 내 발생 입자를 응용하기 위해서는 각각의 응용 분야에 적합한 입경 분포 제어가 요구된다. 하지만 입자 합성 시 크기분포 특성에 관한 연구는 기존의 포집 및 전자현미경을 이용한 방법으로 실시간으로 분석하기에는 한계가 있다. 따라서 본 연구에서는 저압에서 실시간으로 나노입자 분포를 측정할 수 있는 PBMS (particle beam mass spectrometer)를 이용하여, PECVD (plasma enhanced chemical vapor deposition)의 입자 생성 조건에 따라 continuous, pulse, dual pulse로 분류되는 공정 조건에서 생성되는 입자의 크기 분포를 측정하였다. 또한 그 결과를 기존의 동일한 조건에서 포집 후 SMPS (scanning mobility particle sizer)와 전자 현미경을 이용하여 분석한 결과와 비교하였다. 실리콘 나노 입자의 측정은 PBMS 장비의 전단 부분을 PECVD 장치 내부에 연결하여 진행하였다. PECVD를 이용한 실리콘 나노입자 형성의 주요 변수는 RF pulse, 가스(Ar, SiH4, H2)의 유량, Plasma power, 공정 압력 등이 있으며 각 변수를 조절하여 공정 환경을 구성하였다. 결론적으로 본 연구를 통하여 PECVD를 이용해 각각의 공정 환경에서 생성되는 실리콘 나노입자의 실시간 입경 분포 분석을 PBMS로 수행하는 것에 신뢰성이 있음을 알 수 있었으며, 그 경향을 확인할 수 있었다. 추후 지속적 연구에 의해 변수에 따른 나노입자 생성을 데이터베이스화 하여 요구되는 응용분야에 적합한 특성을 가지는 나노입자를 형성하는 조건을 정립 하는데 중요한 역할을 할 것을 기대할 수 있다.