• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.21-21
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• 2015

가뭄은 다른 어떤 기상재해보다 광범위하고 긴 시간에 걸쳐 큰 피해를 초래할 뿐만 아니라 많은 변수들이 복합적으로 작용하여 발생한다. 가뭄에 의한 피해를 최소화하기 위해서는 중, 장기적인 가뭄의 예측이 필요하며, 가뭄을 예측한다는 것은 가뭄의 발생 원인을 정확히 이해하는데서 시작할 수 있다. 통계적 모형기반의 한계를 극복하기 위한 방법으로서 가뭄의 발생원인을 규명하여 가뭄예측에 활용하는 연구가 시도되고 있으며, 그중 하나의 시도로서 광범위한 지역에 걸쳐서 나타나는 대기순환이 지역별 강수량에 미치는 영향을 분석함으로써 가뭄과의 상관관계를 규명하는 것이다. 따라서 본 연구에서는 한반도 봄 가뭄에 대한 발생 원인과 예측 가능성을 진단하기 위하여 서울, 대전, 광주 및 밀양관측소의 강수량과 북반구 대기순환 패턴과의 상관분석을 실시하였으며, 동시상관 및 지연상관 패턴에 의한 한반도 가뭄의 시공간적 변화특성을 분석함으로써 대기패턴에 의한 한반도 가뭄과의 원격상관을 분석하여 가뭄을 예측할 수 있는 인자로서의 활용가능성에 대해서 분석하고자 한다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2022.07a
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• pp.329-330
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• 2022

본 연구에서는 3차원 시뮬레이션 프로그램을 활용하여 40대, 50대, 60대 여성의 하반신 몸통 관련 부위 유형에 따라 요실금 팬티 패턴을 제작하여 하반신 몸통 유형별 요실금 팬티 패턴을 비교·분석하고자 하였다. 유형 1의 패턴은 가장 길이가 길고 폭은 두 번째로 넓은 형태를 나타냈고, 유형 2는 길이가 가장 짧고 좁은 형태를 나타냈다. 유형 3은 길이가 가장 짧고 폭은 가장 넓은 형태를 나타냈으며, 유형 4는 가장 폭이 좁고 길이가 두 번째로 긴 형태를 나타냈다. 가상착의에 대한 평가결과, 유형 2가 앞면, 옆면, 뒷면 모두에서 가장 우수한 것으로 평가되었다. 유형 3은 허리와 복부, 엉덩이와 넙다리둘레가 가장 크고, 하반신이 짧은 비만 체형으로 다른 체형과 같은 방식으로 패턴을 제작하였을 시 다리둘레와 엉덩이부위의 감싸는 분량이 부족한 것으로 평가되었다.

• The KIPS Transactions:PartB
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• v.15B no.4
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• pp.365-374
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• 2008

In this paper, we propose a model to enrich an ontology by incrementally extending the relations through variations of patterns. In order to generalize initial patterns, combinations of features are considered as candidate patterns. The candidate patterns are used to extract relations from Wikipedia, which are sorted out according to reliability based on corpus frequency. Selected patterns then are used to extract relations, while extracted relations are again used to extend the patterns of the relation. Through making variations of patterns in incremental enrichment process, the range of pattern selection is broaden and refined, which can increase coverage and accuracy of relations extracted. In the experiments with single-feature based pattern models, we observe that the features of lexical, headword, and hypernym provide reliable information, while POS and syntactic features provide general information that is useful for enrichment of relations. Based on observations on the feature types that are appropriate for each syntactic unit type, we propose a pattern model based on the composition of features as our ongoing work.

• The KIPS Transactions:PartD
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• v.16D no.2
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• pp.237-248
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• 2009

Recently, based on dynamic location or mobility of moving object, many researches on pattern mining methods actively progress to extract more available patterns from various moving patterns for development of location based services. The performance of moving pattern mining depend on how analyze and process the huge set of spatio-temporal data. Some of traditional spatio-temporal pattern mining methods[1-6,8-11]have proposed to solve these problem, but they did not solve properly to reduce mining execution time and minimize required memory space. Therefore, in this paper, we propose new spatio-temporal pattern mining method which extract the sequential and periodic frequent moving patterns efficiently from the huge set of spatio-temporal moving data. The proposed method reduces mining execution time of $83%{\sim}93%$ rate on frequent moving patterns mining using the moving sequence tree which generated from historical data of moving objects based on hash tree. And also, for minimizing the required memory space, it generalize the detained historical data including spatio-temporal attributes into the real world scope of space and time using spatio-temporal concept hierarchy.

• Journal of the Korea Society of Computer and Information
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• v.25 no.6
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• pp.143-154
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• 2020

In this study, four types of bodice patterns of elderly males in their 70s and 80s were made, and appearance evaluation was conducted through 3D simulation. For objective evaluation, airgap, cross section, color distribution, etc. were analyzed to compare differences between patterns. The pattern shape of bodice for elderly males was a pattern without darts except for the L pattern. As a result of appearance evaluation for 3D simulation, the elderly males' pattern was found to have a significant difference among the patterns on the front, side, and back items, and the H pattern was analyzed as the best pattern in all items except the armhole shape on the side. As a result of evaluating the airgap, color distribution, and cross-section, the most suitable pattern for the elderly male's body type was analyzed as the H pattern. Based on the H pattern, it is thought that the development of a pattern suitable for the upper body shape of elderly male should be made.

• Journal of Cadastre & Land InformatiX
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• v.50 no.2
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• pp.203-219
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• 2020

The primary purpose of this study is to identify spatial distribution patterns of co-authoring activities in Korean cadastral science. The analysis showed that a small number of researchers played an essential role in the Korean cadastral co-authorship network. In particular, some authors not only had a significant influence on other nodes in the network but also served as intermediaries between researchers. Moreover, the distance between researchers influenced co-authorship decisions to a limited extent. This study differs considerably from previous studies in that it used spatial analysis techniques to identify spatial distribution patterns of co-authoring activities. However, this research is limited in that it applied only 2019 data to determine the spatial distribution pattern of co-authoring activities. We can overcome this limitation if we analyze the spatial distribution patterns of co-authoring activities using multi-year data in future studies.

• Journal of Advanced Technology Convergence
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• v.1 no.1
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• pp.25-31
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• 2022

This study is a descriptive survey study conducted with the aim of analyzing differences in consumption patterns according to the personality types of the Enneagram and providing basic data that can be used for advertising and branding based on it. 43 people who explained the purpose of the study and agreed to participate were conveniently recruited. The research tools were investigated online with the type of personality of the Enneagram of Joo (2003) and the consumption pattern of Jeon (2013). The data analysis utilizes statistical methods such as descriptive statistics, frequency analysis, and one-way ANOVA in the IBM SPSS Statistics 23 program. For consumption patterns 1, 2, 3, and 6, there were statistically significant differences between personality types 1, 2, 3, 5, 7, and 9 (p<.050). Through this study, it was confirmed that consumption patterns vary depending on the type of personality of the Enneagram. The results of this study are expected to provide basic data in establishing effective strategies for branding and advertising of the design that consumers want.

• Proceedings of the Korean Vacuum Society Conference
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• 2014.02a
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• pp.299-299
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• 2014

기존의 고출력 광원들이 환경문제 등으로 외국에서 규제대상으로 지정되고 있는 가운데고체 상태의 광원인 Light-emitting diode (LED)는 기존의 광원에 비해 에너지 절감효과 크기 때문에 인해 널리 사용되고 있는 추세이다. 대부분의 백색 LED의 경우 청색 LED에 황색 형광체를 사용하는 것이 일반적이다. 그러나 이의 경우 빛의 흡수와 재방출 과정에서 생기는 에너지 변환손실의 문제가 불가피하다. 또한, 두 종류의 색을 섞어서 나타나는 낮은 연색성의 문제가 있고 사용할 수 있는 형광체의 종류와 조합도 일본 등 해외에 출원된 특허권으로 연구개발에 어려움이 있다. 이를 해결하기 위해 본 연구에서는 형광체를 사용하지 않는 단일 백색 LED를 개발을 위하여 극성과 반극성을 조합한 구조를 연구하였다. Photo-lithography를 이용하여 다양한 크기와 구조의 홀 패턴을 얻을 수 있었으며, metal organic chemical vapor deposition을 이용하여 다양한 형태의 피라미드 구조를 성장할 수 있었다. 패턴의 홀 크기와 홀 사이의 간격을 조절하면서 성장을 진행 하였고, 그 결과 pyramid와 truncated pyramid 모양의 GaN 구조를 성장할 수 있었다. [그림 1] Pyramid 구조의 반극성 면과 truncated pyramid 구조의 극성 면사이의 성장속도 차이 때문에 양자우물의 두께가 달라짐을 확인하였다. 이로 인해 양자구속효과가 달라져 다른 파장의 발광을 기대할 수 있었다. 뿐만 아니라 In의 확산거리가 Ga보다 길어서 홀사이 간격을 달리하면 In조성비가 달라지는 효과가 있음을 확인하였고 다양한 홀 사이 간격으로부터 각기 다른 파장의 발광을 얻을 수 있었다. 파장을 조금 더 상세하게 분석하기 위하여 Photoluminescence과 Cathodoluminescence을 사용하였다. 이로써 여러 파장을 발광하는 패턴을 섞어 넓은 영역의 발광 스펙트럼을 만들었다. 특히 패턴을 섞는 방법도 홀과 에피 구조를 섞는 방법, 크기가 다른 홀 패턴을 배열하는 방법등 다양히 하며 가장 좋을 패턴을 연구하였다. 그리하여 최적의 패턴과 구조, 성장조건을 찾아 백색의 CIE 좌표값을 얻을 수 있었다.

• Journal of Internet Computing and Services
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• v.15 no.6
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• pp.125-132
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• 2014

Since frequent pattern mining was proposed in order to search for hidden, useful pattern information from large-scale databases, various types of mining approaches and applications have been researched. Especially, frequent graph pattern mining was suggested to effectively deal with recent data that have been complicated continually, and a variety of efficient graph mining algorithms have been studied. Graph patterns obtained from graph databases have their own importance and characteristics different from one another according to the elements composing them and their lengths. However, traditional frequent graph pattern mining approaches have the limitations that do not consider such problems. That is, the existing methods consider only one minimum support threshold regardless of the lengths of graph patterns extracted from their mining operations and do not use any of the patterns' weight factors; therefore, a large number of actually useless graph patterns may be generated. Small graph patterns with a few vertices and edges tend to be interesting when their weighted supports are relatively high, while large ones with many elements can be useful even if their weighted supports are relatively low. For this reason, we propose a weight-based frequent graph pattern mining algorithm considering length-decreasing support constraints. Comprehensive experimental results provided in this paper show that the proposed method guarantees more outstanding performance compared to a state-of-the-art graph mining algorithm in terms of pattern generation, runtime, and memory usage.

• Korean Journal of Community Nutrition
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• v.19 no.6
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• pp.527-536
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• 2014

Objectives: The aim of this study was to assess how nutrient intakes are related to risk factors for metabolic syndrome according to dietary patterns in the middle-aged adults. Methods: The subjects (n = 187; 47 men, 140 women) consisted of middle-aged adults over 30 years old in Ilsan area. The metabolic syndrome was diagnosed according to the data collected from each subject, including anthropometric measurements and blood analyses. The dietary patterns were derived from the average of two-day dietary intake data. Results: Factor analysis identified three major dietary patterns which were "Meats and alcohol", "Mixed grains, vegetables and fruits", and "Rice, Kimchi and fish & shellfish". The daily intakes of energy, protein, and sodium increased across quartiles of "Meats and alcohol" pattern scores (p < 0.05), whereas the intakes of carbohydrates, potassium, calcium, and fiber increased across quartiles of "Mixed grains, vegetables and fruits" pattern scores (p < 0.001). The "Meats and alcohol" pattern scores were positively correlated with protein and sodium intakes but inversely correlated with carbohydrates, fiber and potassium intakes which were adjusted for age, sex and energy (p < 0.05). The highest quartile pattern score of "Meats and alcohol" pattern had elevated odds ratio of abdominal obesity and metabolic syndrome (p < 0.05). The risk of hypertriglyceridemia decreased in the highest quartile of "Mixed grains, vegetables and fruits" pattern (OR 0.35, 95% CI 0.12-1.00). Conclusions: Our results suggested that reducing the consumption of meat and alcohol along with increasing fruits, vegetables and mixed grains would be helpful for preventing the metabolic syndrome and chronic diseases.