• Proceedings of the Korea Information Processing Society Conference
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• 2002.04a
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• pp.443-446
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• 2002

웹 애플리케이션은 사용자와의 인터페이스를 페이지 단위에서 처리한다. 또한 다양한 사용자에 따라 사용기능도 차별화되어 다양하게 제공되며, 페이지 단위로 정보를 비순차적으로 탐색 할 수 있도록 구성된다는 것이 특징이다. 이러한 특징은 기존의 개발방법과 표기법을 아무런 수정 없이 적용하기는 어렵다. 기존의 웹 애플리케이션 항해에 대한 연구는 표준화된 표기법을 사용하고 있지않아 많은 문제점을 나타내고 있다. 본 논문에서는 표준화된 UML 을 사용하여 웹 애플리케이션의 항해요구를 수용하는 개념모델을 제시한다. 이때 UML 에서 제공하는 스테레오타입, 꼬리표값, 제약과 같은 확장 메커니즘을 이용하여 웹 애플리케이션의 항해 개념모델을 모델링한다.

• Journal of the Korean earth science society
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• v.39 no.5
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• pp.501-515
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• 2018

In this study, the method of multiple working hypotheses (MMWH) as a method of earth scientific inquiry was applied in a context of abductive reasoning about the formation of a rock with a specific structure, and the characteristics of MMWH revealed in the reasoning process were explored. Participants were 31 senior undergraduate students enrolled in a course in a university of education. As part of the course, the participants performed abductive inquiry with multiple working hypotheses about the formation of a rock. The students were asked to record both the processes and results of their reasoning in sketchbooks. The content of the students' sketchbook reports was analyzed according to the principle of analytic induction. Results demonstrated four assertions. First, the participants' working hypotheses were suggested in the use of resource models, and the adaption of the resource models often occurred in this process. Second, the perceptual properties of evidence influenced the activation of the resource models. Third, the kinds of observed evidence and the different interpretations of evidence resulted into different judgments on working hypotheses. Fourth, sometimes new hypotheses were generated by the combination of alternative hypotheses. Implications of these findings for earth science education and relevant research were discussed.

• Journal of Korea Game Society
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• v.10 no.5
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• pp.39-49
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• 2010

The fundamental characteristic that digital games have is interactivity. Digital games need to be systematically categorized so that similarities and differences can be identified and analyzed. Research in the past, however, has not established common criteria for categorizing digital games. This paper resolves that gap by identifying the fundamental characteristic of games, interactivity, and develops a conceptual framework consisting of primary and corresponding participants, and controlling characters. Through an empirical analysis on some digital games, this study shows that the framework could be comprehensive covering all of interactivity during the game. Future research topics are presented based on this framework.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2000.10a
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• pp.321-324
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• 2000

최근 국내 경제의 구조적 전환에 대한 필요성이 증대됨에 따라 기술집약적인 산업에 관심이 모아지고 있으며 이러한 관심은 주로 기술개발과 혁신을 통해 고수익을 달성하려는 벤처기업에 집중되어져 왔다. 특히 인터넷 비즈니스분야의 벤처인 경우 기존 산업이 지니고 있던 산업구조, 기업유형 및 수익원천과는 구별되는 특징을 지니고 있기에 기업의 성장성과 수익성을 예측하고 미래가치를 판단하는데 있어 새로운 투자평가 패러다임이 요구된다. 국내의 경우 최근 들어 벤처성과와 관련된 연구들이 진행되고는 있으나 주로 사례연구 방식으로 벤처기업을 대상으로 한 주요성공요인, 성과 영향요인, 자금조달 및 육성지원정책 등 탐색적 연구에서 벗어나지 못하고 있으며 실제 벤처투자자의 입장에서의 연구는 이루어지지 못하고 있다. 따라서 본 연구는 벤처투자가를 대상으로 투자고려요인과 성과요인을 추출하고 두 요인간의 관련성을 파악함으로써 투자성과에 영향을 미치는 요인을 제시하고 이를 투자자유형, 성장단계, 투자시기, 사업유형, 벤처전략별로 분석하는 것을 목표로 하고 있다. 이를 통해 인터넷 비즈니스분야의 벤처기업에게는 각 기업별 특성에 따른 관리 요인과 벤처투자가에게는 투자의사 결정시 도움을 줄 수 있는 투자지침을 제시한다.

• School Mathematics
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• v.8 no.2
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• pp.239-263
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• 2006

The purpose of the National Assessment of Educational Achievement(NAEA) is not only to assess educational progress and achievement but also to collect background information affecting educational achievement. It is important to know which factors affect the National Assessment of Educational Achievement(NAEA) and to explore how much those factors show the educational effect. In this study, first, we examined general characteristics of the survey with relation to the background information. Second, we analyzed the relationships between test scores and information on the students' profile such as background, extracurricular activities, and information on the school profile in NAEA 2004. Third, we suggested some educational policies on the basis of those analysis and indicated the limitation of this study.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.2
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• pp.80-80
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• 2013

대규모 광도곡선 자료에서 다양한 주기변광성들의 정확한 주기를 효율적으로 검출하는 실험을 시도하였다. 실험을 위해 OGLE-III 맥동 변광성(RR Lyrae, Delta Scuti, Cepheid) 목록 중, I 필터로 관측된 총 31,324개의 광도 곡선을 사용하였다. 이 실험에 사용한 주기분석 알고리즘 MS_Period(Multi-Step period searching method)는 주기를 놓치지 않기 위해 두 가지 다른 방법(Multi Polynomial function, Phase Dispersion)으로 후보 주기를 구하고 정밀주기를 도출하기 위해 후보 주기 주변부를 Spline fitting을 통해 재탐색하는 방법이다. 기존의 MS_Period 방식은 주기 탐색 간격(dP/P)이 일정하였으나, 우리는 탐색 주기 구간을 나누고 짧은 주기에서는 작은 간격으로, 긴 주기에서는 보다 넓은 간격으로 주기를 탐색하는 과정을 추가하였다. 그 결과 98% 이상의 별에서 OGLE-III와 거의 일치하는 주기를 얻었으며, 긴 주기에서의 불필요한 정밀 탐색을 회피함으로써 분석시간도 단축되었다. 주기 결정이 어려운 경우들은 주로 1) periodogram에서 실제 주기가 아닌 1일 근처에서 noise보다 큰 peak가 보이는 경우, 2) 하나의 별에 대해 여러 주기가 비슷한 Phase diagram을 보이고, periodogram에서도 비슷한 peak를 갖는 경우, 3) OGLE-III의 주기와 전혀 다른 주기만 찾은 경우, 4) OGLE-III에서 제시하지 않은 혼합된 주기의 존재가 의심되는 경우인 것을 확인하였고, 각 사례들의 특징을 살펴보았다.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.11
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• pp.455-464
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• 2022

There are two unique characteristics of the datasets from a manufacturing process. They are the severe class imbalance and lots of Out-of-Distribution samples. Some good strategies such as the oversampling over the minority class, and the down-sampling over the majority class, are well known to handle the class imbalance. In addition, SMOTE has been chosen to address the issue recently. But, Out-of-Distribution samples have been studied just with neural networks. It seems to be hardly shown that Out-of-Distribution detection is applied to the predictive model using conventional machine learning algorithms such as SVM, Random Forest and KNN. It is known that conventional machine learning algorithms are much better than neural networks in prediction performance, because neural networks are vulnerable to over-fitting and requires much bigger dataset than conventional machine learning algorithms does. So, we suggests a new approach to utilize Out-of-Distribution detection based on SVM algorithm. In addition to that, bagging technique will be adopted to improve the precision of the model.

• Korean Journal of Psychosomatic Medicine
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• v.25 no.2
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• pp.185-192
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• 2017

Objectives : The aims of present study was to investigate clinical characteristics of male patients with eating disorders. Methods : The present study included 32 male patients with eating disorders and 75 female patients with eating disorders, recruited from an eating disorders specialized clinic in a university hospital, Seoul, Korea. We compared clinical characteristics of eating disorders and comorbid conditions of depression and anxiety between men and women with eating disorders. Correlations between eating disorders psychopathology in men with eating disorders and their weight suppression(WS) were investigated. Results : There was no difference in age at presentation, age of onset, illness duration, and body mass index at presentation between genders. Male patients with eating disorders had higher rates of premorbid overweight or obesity than female patients with eating disorders had. WS in the male patients was associated with the severity of their eating disorders. Conclusions : The present study provides grounds for improved understanding for clinical features of eating disorders in males.

• Journal of KIISE:Software and Applications
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• v.35 no.1
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• pp.1-11
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• 2008

This paper detected the characteristics of motion vector to support efficient content -based video search of video. Traditionally, the present frame of a video was divided into blocks of equal size and BMA (block matching algorithm) was used, which predicts the motion of each block in the reference frame on the time axis. However, BMA has several restrictions and vectors obtained by BMA are sometimes different from actual motions. To solve this problem, the foil search method was applied but this method is disadvantageous in that it has to make a large volume of calculation. Thus, as an alternative, the present study extracted the Spatio-Temporal characteristics of Motion Vector Spatio-Temporal Correlations (MVSTC). As a result, we could predict motion vectors more accurately using the motion vectors of neighboring blocks. However, because there are multiple reference block vectors, such additional information should be sent to the receiving end. Thus, we need to consider how to predict the motion characteristics of each block and how to define the appropriate scope of search. Based on the proposed algorithm, we examined motion prediction techniques for motion compensation and presented results of applying the techniques.

• The KIPS Transactions:PartA
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• v.12A no.1 s.91
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• pp.13-22
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• 2005

Similarly to the edges defined in a 2D image, we can define the geometric features representing the boundary of the distinctive parts appearing on 3D meshes. The geometric features have been used as basic primitives in several applications such as mesh simplification, mesh deformation, and mesh editing. In this paper, we propose geometric livewire and geometric livelane for extracting geometric features in a 3D mesh, which are the extentions of livewire and livelane methods in images. In these methods, approximate curvatures are adopted to represent the geometric features in a 3D mesh and the 3D mesh itself is represented as a weighted directed graph in which cost functions are defined for the weights of edges. Using a well-known shortest path finding algorithm in the weighted directed graph, we extracted geometric features in the 3D mesh among points selected by a user. In this paper, we also visualize the results obtained from applying the techniques to extracting geometric features in the general meshes modeled after human faces, cows, shoes, and single teeth.