• 로봇학회논문지
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• 제4권3호
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• pp.185-191
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• 2009

This paper presents a new shape-based algorithm using affine category shape model for object category recognition and model learning. Affine category shape model is a graph of interconnected nodes whose geometric interactions are modeled using pairwise potentials. In its learning phase, it can efficiently handle large pose variations of objects in training images by estimating 2-D homography transformation between the model and the training images. Since the pairwise potentials are defined on only relative geometric relationship betweenfeatures, the proposed matching algorithm is translation and in-plane rotation invariant and robust to affine transformation. We apply spectral matching algorithm to find feature correspondences, which are then used as initial correspondences for RANSAC algorithm. The 2-D homography transformation and the inlier correspondences which are consistent with this estimate can be efficiently estimated through RANSAC, and new correspondences also can be detected by using the estimated 2-D homography transformation. Experimental results on object category database show that the proposed algorithm is robust to pose variation of objects and provides good recognition performance.

• 한국화재소방학회논문지
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• 제28권2호
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• pp.91-97
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• 2014

급변하는 사회에서 기존에는 없었던 새로운 화재 사고가 발생하거나, 또는 과거에는 자주 발생된 화재 사고가 발생하지 않는 경우가 많아지고 있다. 본 논문에서는 화재분류체계를 개선할 때 사용할 수 있는 새로운 명사를 화재조사데이터로부터 추출하는 방법을 제안하였다. 화재조사데이터는 화재 조사관에 의해 작성된 화재사고 관련 데이터이다. 제안한 방법은 기타 소분류에 포함된 화재조사데이터의 제품명과 발화개요를 형태소 분석하여 발화관련 기기의 소분류 범주로 사용할 수 있는 새로운 입력 키워드를 추출하였다. 본 논문에서는 제품명을 분석하여 발화관련 기기 대분류인 농업용장비와 계절용 기기의 새로운 소분류 범주로 "건조기"와 "보일러"를 추출하였다. 또한 발화개요를 분석하여 발화관련 기기 대분류인 상업장비와 영상, 음향기기의 새로운 소분류 범주로 "수족관"과 "모니터"를 추출하였다. 이 네 가지의 새로운 소분류 범주로 화재조사데이터를 재분류하였을 때 총 3,808건 중 14.39%인 548건이 재분류되었다.

• 한국항해학회지
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• 제24권4호
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• pp.227-234
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• 2000

In general, neural networks are widely used for the category classification of multispectral images. Since the input multispectral images into neural networks we, however, low contrast images, neural networks converge very slowly and are of bad performance. To overcome this problem, we propose a new image enhancement method which consists of smoothing process, finding the main valley and enhancement process. In addition the enhanced images by the proposed method are used as the input of neural networks for the category classification. When the new category classification method is applied to multispectral LANDSAT TM images, we verified that the neural networks converge very lastly and that the overall category classification performance is improved.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 1999년도 추계종합학술대회
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• pp.204-209
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• 1999

일반적으로 신경회로망은 다중분광 영상의 카테고리 분류를 위해 많이 사용되나 다중분광 영상의 경우 카테고리간 명암도차가 얼마나지 않아 오차 수렴시간이 많이 걸리고 분류성능이 떨어진다. 이와 같은 문제점을 해결하기 위해 본 논문에서는 평활화 과정, 주된 골을 찾는 과정, 그리고 향상 과정으로 구성되는 새로운 영상 향상법을 제안하고, 제안한 방법으로 향상된 다중분광 영상을 신경회로망의 입력으로 하여 카테고리 분류하였다. 제안한 방법을 LANDSAT TM 영상에 적용한 결과 신경회로망의 오차 수렴속도가 빨라졌고, 분류 성능이 향상되었음을 확인할 수 있었다.

• 지적과 국토정보
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• 제49권2호
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• pp.151-167
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• 2019

한국의 현행 지목 분류 체계로는 복잡하고 다양하게 사용하는 토지의 이용 현황을 정확하게 지적공부에 등록할 수 없다. 따라서 우리나라 지목 분류 체계 개선을 위한 시사점을 도출하기 위하여 2013년에 신승우 외 4인이 '국내외 지목체계 운영 실태 연구'라는 논문을 발표하였다. 이 논문은 6개국의 '지목'과 '토지이용' 및 '토지피복'을 동일선 상에서 비교하고, 일부 사실이 아닌 내용이 서술되어 있어, 이에 관한 새로운 시각을 제시하였다. 앞으로 독일·일본·대만의 지목 분류 체계에 관한 이해를 바탕으로 합리적인 대안이 제시되길 기대하며, 향후 연구 과제로 독일과 대만의 지목 분류 체계의 변천연혁을 연구하여 한국의 지목 분류 체계 개선에 참고할 것을 제안한다.

• 지식경영연구
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• 제20권3호
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• pp.173-193
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• 2019

Reward-based crowdfunding is a funding platform that allows funds to be raised to early operators who have lack of funds, and is seen as an outstanding infrastructure that is going to lead the fourth industrial revolution in that it is a field of realization of new technologies and creative ideas by start-ups. Reward-based crowdfunding has grown in line with the trend of the fourth industrial revolution, and funding success cases are taking place in various industries that culture/art to technology/IT, including as a new means of knowledge management in a rapidly changing industrial environment. The study focused on the fact that consumer's donation purposes may also vary depending on the category of projects classified as reward-based crowdfunding. Because consumer payment decisions and motivation of consumer purchasing behavior are classified according to the purpose of purchase, the previous papers that the goal gradient effect that the main motivation of consumer donation for reward-based crowdfunding introduced vary depending on project category of utilitarian and hedonic. In this study, consumer's daily donation data is collected by Indiegogo which is a leading reward-based crowdfunding company using web-crawling and the model was defined as propensity score matching (PSM) and random effect model. The results showed that the goal gradient effect occurred in utilitarian project category, but no goal gradient effect for the hedonic project category. Furthermore, this paper developed the study of motivation of consumer donation and contributes theoretical foundation by the results consumer donation may vary depending on the project category; also, this paper has implications for an effective marketing strategy depending on the project category leaves real meaning to the projector.

• Korean Journal of Mathematics
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• 제26권3호
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• pp.439-458
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• 2018

In this study, we interpret the notion of homotopy of morphisms in the category of crossed modules in a category C of groups with operations using the categorical equivalence between the categories of crossed modules and of internal categories in C. Further, we characterize the derivations of crossed modules in a category C and obtain new crossed modules using regular derivations of old one.

• 한국의학물리학회지:의학물리
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• 제6권2호
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• pp.35-40
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• 1995

목적 : 필름배지를 이용하여 개인 피폭 선량을 측정하는 방법을 개발하고 그 특성을 알아보고자 한다. 재료 및 방법 : 필름으로는 Agfagaevart Personal monitoring 2/10 을 사용하였고, 필터로는 구리 0.3mm, 플라스틱 1.5mm, 알루미늄 0.6mm, 주석 0.8mm를 사용하였으며, 필름은 표준기관에서 교정하였다. 사용에너지는 ANSI N13.11 Category III, IV였고, 현상기는 수동현상기를, 농도계는 Xrite 농도계를 사용하였다. H＆D 곡선을 선량에 따라 구한 뒤 다항식 전개를 이용하여 선량에 대해 직선성을 갖도록 변환하였다. 이후 필터와 방사선 에너지 관계를 구하여 선량 및 에너지를 추정할 수 있는 알고리즘을 개발하였다. 결과 : 본 연구에서 개발된 선량 평가 알고리즘은 해당 Category 의 전에너지에 대해 30% 이내의 정확도를 만족시켜 이 알고리즘이 개인 피폭 선량 측정에 이용될 수 있음을 알았다. Category I, II , V에 대하여 보완한다면 완벽한 선량 평가 알고리즘이 될 것으로 기대된다.

• 한국식품영양학회지
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• 제25권1호
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• pp.205-213
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• 2012

This study investigated the life cycle of menus and made suggestions on the appropriate time for when new menus should be developed. For this purpose, a total of 636 customers who visited 'T' Restaurant more than 25 times in the past three years were used for analysis. After estimating product life cycles based on sales and selling period, an empirical study was conducted. In terms of product life cycle, a growth stage was observed in the category of pasta and pizza in both stores A and B, whereas sales in the rice category stayed constant. Regarding trend in seasonal sales, a big difference was detected between the two stores. While store A was already in the decline stage of the life cycle in all menu categories, store B remained in the growth stage. In terms of menu life cycle, the product life cycle of long-lived products was observed in the pasta category in both stores A and B. While the pizza category was in the growth stage, the product life cycle of long-lived products was observed in the rice category. It is expected that the results of this study could be useful in development of new menus and product life cycle management to fulfill diverse customer needs in the dining-out business.

• 대한예방한의학회지
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• 제19권1호
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• pp.23-33
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• 2015

Objective : This study aimed to develop a new category system of Yanseng(養生) for traditional Korean Medicine in order to prepare the ground for organizing the resources of Yangseng systematically. Method : We reviewed the existing medical books containing Yangseng contents. Based on the experts' consensus, we drew the new category system of Yangseng in consideration of a national trait of Korea and use of Yanseng in modern society. Results : First, We devided Yangseng category into two parts: methods and applications. Methods are divided into 5 parts: mind, diet, herb, Doinangyo(導引按蹻), life. A broad use of herbs in daily life is a national trait of Korea. Doinangyo contains relaxation methods like breathing, massages and exercises like Qigong and is also very popular way to maintain health in modern western society. Applications are divided into 6 parts: type of constitution, life cycle, seasons, type of symptoms and signs, type of Mibyung(未病) and diseases. We drew this 6 parts in consideration of use in the field of health care. Conclusion : The new category system of yangseng is based on existing theories and reflects Korean national trait and use of Yanseng in modern society. We hope this new category system play a role of foundation for organizing the resources of Yangseng systematically.