• 한국농촌건축학회논문집
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• 제14권4호
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• pp.135-142
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• 2012

This study is aimed to investigate the dimension feature of the plane about the economic type farming village Korean-style house progressed in the Chonnam province and Longitudinal feature and tries to reveal this feature through the comparing analysis with the traditional house positioned in the Chonnam province. This result is as follows. First, the main feature in plane is the setting up the column interval in front when comparing the house of Happy Village and traditional house. In case house of the Happy Village, after firstly fixed the limited scales, sizes are determined, this is due to control the set up in the post interval in this in range. Second, in the case of the traditional houses, 0.68 ratio of the building height about the side length and 0.19 ratio of the eaves extrusion about the side length are consistent ratio about dimensions. However, there is no consistent ratio or fixed law, the various dimensions show up in case of the house of Happy Village. It will be inevitable that space of the post increases for the convenience of life of the modern people. However, it has to sublate and to disregard as the identity of the morphological shown up in the Korean-style house the more various construction standards will need to be presented.

• Parasites, Hosts and Diseases
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• 제48권3호
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• pp.253-257
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• 2010

Two adult rock partridges raised in a city zoo were examined parasitologically and pathologically. Two distinctive eggs resembling those of Capillaria and Heterakis were detected in the feces. At necropsy, a markedly-dilated duodenum with severe catarrhal exudates, containing adult worms of Capillaria sp. and Heterakis sp. in the cecum, was observed. Male Capillaria had the cloacal aperture extended almost terminally with a small bursal lobe and an unsheathed spicule with transverse folds without spines. Female Capillaria had a vulva that was slightly prominent and slightly posterior to the union of the esophagus and intestine. The esophagus of the adult Capillaria was more than a half as long as the body in the male, but was much shorter in the female. Based on these morphological features, the capillarid nematode was identified as Capillaria obsignata. The male adult worms of Heterakis was identifiable by 2 dissimilar spicules, a unique morphological feature where the right spicule was considerably longer than the left, which is also a characteristic feature of Heterakis gallinarum. This is the first report of concurrent infections with C. obsignata and H. gallinarium in rock partridges.

• 대한의용생체공학회:학술대회논문집
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• 대한의용생체공학회 1995년도 추계학술대회
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• pp.197-200
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• 1995

In this paper, we proposed the multi-step multi-layer artificial neural network(MMANN) to classify the chromosome, Which is used as a chromosome pattern classifier after learning. We extracted three chromosome morphological feature parameters such as centromeric index, relative length ratio, and relative area ratio by means of preprocessing method from ten chromosome images. The feature parameters of five chromosome images were used to learn neural network and the rest of them were used to classify the chromosome images. The experiment results show that the chromosome classification error is reduced much more, comparing with less feature parameters than that of the other researchers.

• 융합신호처리학회논문지
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• 제10권1호
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• pp.7-12
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• 2009

본 논문에서는 local min/max 연산을 이용한 필기체 숫자의 방향특징 추출 기법을 제안한다. 숫자의 방향특징은 숫자를 이루는 선에서 수평, 수직 및 두 대각방향인 4개 방향의 선들로 구성된 방향선분 영상으로부터 구해진다. Kirsch 마스크를 사용하는 기존의 방향특징 추출기법은 에지형태인 두 겹으로 된 방향선분 영상을 생성하는데 반해 본 논문에서 제시하는 방법은 방향성 수축연산을 사용하여 한 겹으로 된 방향선분 영상을 생성한다. 본 방향성 수축연산을 숫자영상에 적용하기 위해서는 먼저 세선화, 영상 팽창 등의 전처리가 필요하지만 이 방법은 숫자를 이루는 선 자체와 더욱 유사한 형태를 갖는 방향선분을 제공한다. 우리가 구하고자 하는 [$4{\times}4$] 크기인 4개의 방향특징은 4개의 방향선분 영상으로부터 조닝방법을 통해 구해진다. 보다 높은 필기체 숫자인식을 얻기 위해, 본 연구에서는 우리가 제안한 방향특징에 기존의 Kirsch 방향특징과 오목특징을 결합한 다중특징을 사용하였다. 본 숫자 특징에 의한 인식률을 테스트를 위해 오류역전파 알고리즘으로 학습되는 다층퍼셉트론 신경회로망을 인식기로 사용하였으며, Concordia 대학의 CENPARMI 숫자 데이터베이스를 사용하여 실험한 결과 98.35%의 인식률을 얻을 수 있었다.

• Computers and Concrete
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• 제21권6호
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• pp.727-739
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• 2018

Crack is the most common typical feature of concrete deterioration, so routine monitoring and health assessment become essential for identifying failures and to set up an appropriate rehabilitation strategy in order to extend the service life of concrete structures. At present, image segmentation algorithms have been applied to crack analysis based on inspection images of concrete structures. The results of crack segmentation offering crack information, including length, width, and area is helpful to assist inspectors in surface inspection of concrete structures. This study proposed an algorithm of image segmentation enhancement, named morphological segmentation based on edge detection-II (MSED-II), to concrete crack segmentation. Several concrete pavement and building surfaces were imaged as the study materials. In addition, morphological operations followed by cross-curvature evaluation (CCE), an image segmentation technique of linear patterns, were also tested to evaluate their performance in concrete crack segmentation. The result indicates that MSED-II compared to CCE can lead to better quality of concrete crack segmentation. The least area, length, and width measurement errors of the concrete cracks are 5.68%, 0.23%, and 0.00%, respectively, that proves MSED-II effective for automatic measurement of concrete cracks.

• 동양고전연구
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• 제41호
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• pp.407-444
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• 2010

본 연구의 목적은 개화기 풍자소설인 <>을 대상으로 형태론적 특징을 고찰하고, 창작 시기를 추정하는 데 목적이 있다. 이를 위하여 먼저 조어의 특징을 살핀 다음 조사를 중심으로 분석하였으며, <경셩>의 창작 시기에 대한 형태론적 분석 결과를 바탕으로 창작시기에 대한 의견을 제시하였다. <경셩>의 창작시기에 대한 기존의 논의를 타당한 것으로 본다. 문학전공자를 중심으로 선행 연구에서 <경셩>의 창작시기를 대체로 1901년 이후 1907년 이전으로 잡았는데, 본고의 형태론적 고찰을 통한 결과와도 일치하기 때문이다. 조어 특징에서, 조건법 표현인 '~ 말이면' 등장은 <경셩>의 창작시기를 추정하는 데 도움이 되었다. <경셩>의 창작시기(1910년 전후) 이전의 문헌에서는 이에 상응하는 조건법 표현은 '~ 작시면'이었는데, <경셩> 시기의 신소설에서는 '~ 말이면'으로 나타나고, 그 이후에는 '~ 것 갓흐면'이나 '~'으로 바뀌면서 현대국어의 양상에 근접하기 때문이다. 조어의 특징으로 오기(誤記)를 분석하였다. 단순한 오기와 무지(無知)에서 비롯한 오기로 나누어 살펴본 바, <경셩>의 필사자는 창작자는 물론 아니고 원전(原典)에 대한 이해가 깊은 교양인도 아닐 것으로 추정할 수 있었다. 조사의 특징에서 주격조사 '-가'의 전면적 사용이 특기(特記)할 만하였다. 주격조사 '-가'는 근대국어 초기에 이미 등장하였으나, <이언(易言)>의 한글본의 언해시기(1883년)까지는 전면적으로 쓰이지 않고 '-ㅣ'가 대신하였다. 하지만 <경셩> 시기에서는 '-ㅣ'가 화석형으로 흔적만 남기고 대부분 '-가'로 대체되었음을 알 수 있었다. 이를 근거로 <경셩>의 창작시기는 최소한 1883년 이후일 것으로 추정하였다.

• Journal of Welding and Joining
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• 제31권5호
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• pp.35-40
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• 2013

In this paper, we propose the Tangible Virtual Reality Representation Method to using haptic device and feature to morphology of created bead from Flux Cored Arc Welding. The virtual reality was started to rising for reduce to consumable materials and welding training risk. And, we will expected maximize virtual reality from virtual welding training. In this paper proposed method is get the database to changing the input factor such as work angle, travelling angle, speed, CTWD. And, it is visualization to bead from extract to optimal morphological feature information to using the Neural Network algorithm. The database was building without error to extract data from automatic robot welder. Also, the Neural Network algorithm was set a dataset of the highest accuracy from verification process in many times. The bead was created in virtual reality from extract to morphological feature information. We were implementation to final shape of bead and overlapped in process by time to using bead generation algorithm and calibration algorithm for generate to same bead shape to real database in process of generating bead. The best advantage of virtual welding training, it can be get the many data to training evaluation. In this paper, we were representation bead to similar shape from generated bead to Flux Cored Arc Welding. Therefore, we were reduce the gap to virtual welding training and real welding training. In addition, we were confirmed be able to maximize the performance of education from more effective evaluation system.

• 한국문헌정보학회지
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• 제53권2호
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• pp.179-199
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• 2019

본 연구의 목적은 특허 문헌 분류에 가장 적합한 방법론을 발견하기 위하여 다양한 자질 추출 방법과 기계학습 및 딥러닝 모델을 살펴보고 실험을 통해 최적의 성능을 제공하는 방법론을 분석하는데 있다. 자질 추출 방법으로는 전통적인 BoW 방법과 분산표현 방식인 워드 임베딩 벡터를 비교 실험하고, 문헌 집합 구축 방식으로는 형태소 분석과 멀티그램을 이용하는 방식을 비교 검토하였다. 또한 전통적인 기계학습 모델과 딥러닝 모델을 이용하여 분류 성능을 검증하였다. 실험 결과, 분산표현 방법과 형태소 분석을 이용한 자질추출 방법을 기반으로 딥러닝 모델을 적용하였을 경우에 분류 성능이 가장 우수한 것으로 판명되었으며 섹션, 클래스, 서브클래스 분류 실험에서 전통적인 기계학습 방법에 비해 각각 5.71%, 18.84%, 21.53% 우수한 분류 성능을 보여주었다.

• 수산해양기술연구
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• 제52권2호
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• pp.103-110
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• 2016

This study aims to estimate the species, size and shape of fish using a non-contact 3 dimensional pattern laser so that this preliminary test was carried out to understand the structural feature and length of goldfish according to water turbidity and depth in the aquacultural tank. 3-D pattern laser could clearly detect its morphological shape except the caudal fin due to soft tissue. Since the sensing strength of line laser light according to depth has sufficient power, it is possible to measure its depth and structural feature in the detected range. The result showed that the measured error of individual's fork length was less than ${\pm}1%$ in the water using 3-D pattern laser, when compared with the measured value in the air.

• ETRI Journal
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• 제38권1호
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• pp.174-184
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• 2016

Information identification with image data by means of low-level visual features has evolved as a challenging research domain. Conventional text-based mapping of image data has been gradually replaced by content-based techniques of image identification. Feature extraction from image content plays a crucial role in facilitating content-based detection processes. In this paper, the authors have proposed four different techniques for multiview feature extraction from images. The efficiency of extracted feature vectors for content-based image classification and retrieval is evaluated by means of fusion-based and data standardization-based techniques. It is observed that the latter surpasses the former. The proposed methods outclass state-of-the-art techniques for content-based image identification and show an average increase in precision of 17.71% and 22.78% for classification and retrieval, respectively. Three public datasets - Wang; Oliva and Torralba (OT-Scene); and Corel - are used for verification purposes. The research findings are statistically validated by conducting a paired t-test.