• The Journal of the Korea Contents Association
• /
• v.9 no.10
• /
• pp.398-406
• /
• 2009

This study intends to provide support for tourism industry to establish marketing strategies for selling the travel products on which it should focus on more by examining the difference on selection of travel product attributes by tourism action. This research utilized cluster analysis and ANOVA. The cluster analysis identified four cluster: logical tourism, weak conspicious tourism, value tourism, conspicuous and value tourism. ANOVA analysis showed that four cluster were different in terms of tourism action such as transportation accommodation facilities, tourist attractions, shopping and meals except for travel service, entertainment.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.467-471
• /
• 2009

A road is a fundammental public traffic facility for transporting people and goods. Road designer should determine the best route considering various conditions to minimize environmental bad effect due to road construction and show road functions sufficiently. In this research, we tried to select the optimal route location by comparing candidate routes considering weights of various items such as land use, slope, aspect, land price and so forth. The candidate routes were analyzed and visualized from built data using a GIS software and then compared with the existing route.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2008.05a
• /
• pp.1761-1764
• /
• 2008

본 연구에서는 상용 3차원 수치모형 코드인 FLOW-3D를 이용하여 난류모형에 따른 유류-유사 분리기 내에서 유체의 흐름거동을 해석하였다. 우수로 인해 발생한 유출수는 유류, 유사 및 쓰레기 등을 포함하고 있기 때문에 3차원적 거동을 하고 다양한 흐름특성을 갖는다. 유류-유사 분리기는 도심지의 지하구조물로서 이러한 유출수의 수질을 개선하여 하천이나 강으로 흘려보내는 기능을 갖는다. 분리기내에서의 복잡한 흐름 거동을 해석하기위해 정류판과 유류흡착기로 구성된 유류-유사분리기를 제작하여 수치모의를 실시하였다. 유류-유사분리기로 유입되는 유입수에 포함된 유사는 유체의 흐름이 분리기내에 설치되어있는 정류판을 지나면서 여과되도록 하였고 유사와 함께 유입수에 포함된 유류는 유류흡착기를 통해 여과되도록 하였다. 기존의 수리실험 결과와 수치모의를 통한 연구결과에서 유입수에 포함된 유사와 유류는 유류흡착기를 설치하였을 경우 유사와 유류의 분류활동이 더 활발하게 이루어지는 것을 알 수 있었다. 따라서, 본 연구에서는 유사와 유류의 포획률을 증가시키기 위한 단계로서 유류-유사분리기에 유류흡착기를 설치하고 분리기내의 복잡한 흐름을 각각의 난류모형을 이용하여 비교분석하였다. 수치모의는 $\kappa$ - 모형과 LES(Large Eddy Simulation) 모형의 두가지 난류모형을 사용하였고, FLOW-3D를 이용하여 3차원 수치모의를 실시하였다.

• Journal of the Institute of Electronics Engineers of Korea SP
• /
• v.48 no.5
• /
• pp.23-29
• /
• 2011

There have been many studies on red tide due to increasing damage from red tide on fishing and aquaculture industry. However, internal study of automatic red tide image classification is not enough. Recognition of red tide algae is difficult because they do not have matching center features for recognizing algae image object. Previously studies used a few type of red tide algae for image classification. In this paper, we proposed the red tide image recognition method using semantic features of NMF and roundness of image objects.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.10 no.5
• /
• pp.57-62
• /
• 2010

Recently, decision tree techniques have been studied in terms of quick searching and extracting of massive data in medical fields. Although many different techniques have been developed such as CART, C4.5 and CHAID which are belong to a pie in Clermont decision tree classification algorithm, those methods can jeopardize remained data by the binary method during procedures. In brief, C4.5 method composes a decision tree by entropy levels. In contrast, CART method does by entropy matrix in categorical or continuous data. Therefore, we compared C4.5 and CART methods which were belong to a same pie using breast cancer data to evaluate their performance respectively. To convince data accuracy, we performed cross-validation of results in this paper.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.39C no.8
• /
• pp.731-737
• /
• 2014

This paper presents abnormal behavior detection in crowd within surveillance video. We have defined below two cases as a abnormal behavior; first as a sporadically spread phenomenon and second as a sudden running in same direction. In order to detect these two abnormal behaviors, we first extract the motion vector and propose a new descriptor which is combined MHOF(Multi-scale Histogram of Optical Flow) and DCHOF(Directional Change Histogram of Optical Flow). Also, binary classifier SVM(Support Vector Machine) is used for detection. The accuracy of the proposed algorithm is evaluated by both UMN and PETS 2009 dataset and comparisons with the state-of-the-art method validate the advantages of our algorithm.

• Journal of Korea Game Society
• /
• v.12 no.6
• /
• pp.121-130
• /
• 2012

Due to recent developments in smart media, the desire for interaction between humans and computers has increased. In order to satisfy these needs, gesture recognition fields have been actively studied using image processing. In this paper, we propose a method to recognize Chinese hand numeric representation using image processing. The method binarizes an input image based on skin color to extract region of interest and check the number using the angular information of stretched fingers. Our proposed method has 95.83% of recognition rate.

• Journal of Genetic Medicine
• /
• v.5 no.2
• /
• pp.94-99
• /
• 2008

Congenital malformation is observed in about 2-5% of newborns and is a leading cause of infant mortality. The prognosis of malformation is dictated mainly by proper treatment followed by correct diagnosis at an early age. In practice, etiological consideration and classification of a malformation is critical for diagnosis. Malformations can be classified as belonged to minor or major anomaly. It is clinically important to clarify the pathogenesis of the anomalies among malformation, deformation, disruption, and dysruption. Genetic counseling aids this process by helping patients or family members understand and the nature of the malformation and risk assessment.

• Annual Conference on Human and Language Technology
• /
• 2014.10a
• /
• pp.95-99
• /
• 2014

본 논문에서는 최근 급속히 증가하여 사회적 이슈가 되고 있는 SMS 스팸 필터링을 위한 듀얼 SMS 스팸필터링 기법을 제안한다. 지속적으로 증가하고 새롭게 변형되는 SMS 문자 필터링을 위해서는 패턴 및 스팸 단어 사전을 통한 필터링은 많은 수작업을 요구하여 부적합하다. 그리하여 기계 학습을 이용한 자동화 시스템 구축이 요구되고 있으며, 효과적인 기계 학습을 위해서는 자질 선택과 자질의 가중치 책정 방법이 중요하다. 하지만 SMS 문자 특성상 문장들이 짧기 때문에 출현하는 자질의 수가 적어 분류의 어려움을 겪게 된다. 이 같은 문제를 개선하기 위하여 본 논문에서는 슬라이딩 윈도우 기반 N-gram 확장을 통해 자질을 확장하고, 확장된 자질로 그래프를 구축하여 얕은 구조적 특징을 표현한다. 학습 데이터에 출현한 N-gram 자질을 정점(Vertex)으로, 자질의 출현 빈도를 그래프의 간선(Edge)의 가중치로 설정하여 햄(HAM)과 스팸(SPAM) 그래프를 각각 구성한다. 이렇게 구성된 그래프를 바탕으로 노드의 중요도와 간선의 가중치를 활용하여 최종적인 자질의 가중치를 결정한다. 입력 문자가 도착하면 스팸과 햄의 그래프를 각각 이용하여 입력 문자의 2개의 자질 벡터(Vector)를 생성한다. 생성된 자질 벡터를 지지 벡터 기계(Support Vector Machine)를 이용하여 각 SVM 확률 값(Probability Score)을 얻어 스팸 여부를 결정한다. 3가지의 실험환경에서 바이그램 자질과 이진 가중치를 사용한 기본 시스템보다 F1-Score의 약 최대 2.7%, 최소 0.5%까지 향상되었으며, 결과적으로 평균 약 1.35%의 성능 향상을 얻을 수 있었다.

• School Mathematics
• /
• v.12 no.3
• /
• pp.259-271
• /
• 2010

This study involves investigating problem posing practices for mathematically gifted first year middle school students in Korea. The overall purpose of this study is twofold: to examine the students' preferences on problem posing resources on the division algorithm and to analyze the approaches of the students' posing problems related to specific solution methods. To this end, the patterns of the problems are classified into 6 types such as 'routine' and 'nonroutine' problems associated with 3 levels of the original version of problems. Based on the analysis on the problems, we provide some implications about the nature of mathematically gifted students' problem posing practices in gifted education.