• Journal of information and communication convergence engineering
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• 제7권3호
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• pp.351-355
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• 2009

The amount of incoming e-mails is increasing rapidly due to the wide usage of Internet. We often group e-mails into categories for maintaining e-mail efficiently. However reading the email messages and classifying them is still tedious task. Moreover, the number of e-mails and manual classifying is increasing everyday. So, automatic e-mail classification is important techniques. In this paper, we propose a multi-way e-mail classification method that uses PCA for automatic category generation and dynamic category hierarchy for re-organizing e-mail categories. It classifies a huge amount of receiving e-mail messages automatically, efficiently, and accurately.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제4권2호
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• pp.231-235
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• 2004

According to revealing the DNA sequence of human and living things, it increases that a demand on a new computational processing method which utilizes DNA sequence information. In this paper we propose a classification algorithm based on negative selection of the immune system to classify DNA patterns. Negative selection is the process to determine an antigenic receptor that recognize antigens, nonself cells. The immune cells use this antigen receptor to judge whether a self or not. If one composes n group of antigenic receptor for n different patterns, they can classify into n patterns. In this paper we propose a pattern classification algorithm based on negative selection in nucleotide base level and amino acid level.

• Korean Journal of Mathematics
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• 제22권4호
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• pp.725-742
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• 2014

In this paper, we find all inequivalent classes of self-orthogonal codes over $Z_{p^2}$ of lengths $l{\leq}3$ for all primes p, using similar method as in [3]. We find that the classification of self-orthogonal codes over $Z_{p^2}$ includes the classification of all codes over $Z_p$. Consequently, we classify all the codes over $Z_p$ and self-orthogonal codes over $Z_{p^2}$ of lengths $l{\leq}3$ according to the automorphism group of each code.

• 한국안전학회지
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• 제20권3호
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• pp.112-119
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• 2005

In road tunnel, in order to prevents an accident and minimize the damage of an accident in the case of fire, safety facilities and equipments are integral parts. The type and amount of safety facilities are based on tunnel type and length, traffic flow rate, etc. Therefore many countries use a tunnel classification system that categories tunnel into groups, and specifies the necessary emergency equipment for each group. In this study, for the purpose of classifying tunnel based on tunnel ist investigated the domestic and foreign standards and regulations for safety of road tunnel. As a results, we suggest the method of classification of tunnel by traffic performance, tunnel grade, the volume of traffic, fraction of HGV, rules or regulations for transports of dangerous good through tunnel.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권8호
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• pp.3769-3789
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• 2018

Social pedestrian groups are the basic elements that constitute a crowd; therefore, detection of such groups is scientifically important for modeling social behavior, as well as practically useful for crowd video understanding. A social group refers to a cluster of members who tend to keep similar motion state for a sustained period of time. One of the main challenges of social group detection arises from the complex dynamic variations of crowd patterns. Therefore, most works model dynamic groups to analysis the crowd behavior, ignoring the existence of stationary groups in crowd scene. However, in this paper, we propose a novel unified framework for detecting social pedestrian groups in crowd videos, including dynamic and stationary pedestrian groups, based on spatiotemporal-oriented energy measurements. Dynamic pedestrian groups are hierarchically clustered based on energy flow similarities and trajectory motion correlations between the atomic groups extracted from principal spatiotemporal-oriented energies. Furthermore, the probability distribution of static spatiotemporal-oriented energies is modeled to detect stationary pedestrian groups. Extensive experiments on challenging datasets demonstrate that our method can achieve superior results for social pedestrian group detection and crowd video classification.

• 한국인구학
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• 제12권2호
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• pp.56-68
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• 1989

The methodology in historical demography comprises the three core areas the family reconstitution method at the Institut National d' Ftudes Demographiques(I.N.E.D), the back projection at the Cambridge Group for the History of PopuJation and Social Struc-ture(HPSS). and the household-pattern analysis at the Cambridge Group and at the California Institute of Technology. The paper presents an outline of the family reconstitu-tion method and discusses the problems, both theoretical and methodological, arising from the problematic back projection vis-a-vis the usual inverse projection developed by Ronald D. Lee at Berkeley. Recent developments in the tield of the generalized inverse projection method designed 10 supplement the defects in the back projection and the inverse projection are presented. and for ease of explanation of the parish register data for the family reconstitution form (FRE). pre-modern Korean household register data are presented along with the parish register data of England and Wales that constitute the backbone of historical demography in pre-modern Europe. Possibilities of exploring the household pattern analysis method based on the Laslett-Hammel classification scheme for the mid-eighteenth-century Korean household register data are suggested.

• 한국IT서비스학회지
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• 제18권4호
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• pp.135-149
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• 2019

Recently, there are many researches for extracting meaningful information from large amount of text data. Among various applications to extract information from text, topic modeling which express latent topics as a group of keywords is mainly used. Topic modeling presents several topic keywords by term/topic weight and the quality of those keywords are usually evaluated through coherence which implies the similarity of those keywords. However, the topic quality evaluation method based only on the similarity of keywords has its limitations because it is difficult to describe the content of a topic accurately enough with just a set of similar words. In this research, therefore, we propose topic keywords reorganizing method to improve the identifiability of topics. To reorganize topic keywords, each document first needs to be labeled with one representative topic which can be extracted from traditional topic modeling. After that, classification rules for classifying each document into a corresponding label are generated, and new topic keywords are extracted based on the classification rules. To evaluated the performance our method, we performed an experiment on 1,000 news articles. From the experiment, we confirmed that the keywords extracted from our proposed method have better identifiability than traditional topic keywords.

• 대한족부족관절학회지
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• 제9권1호
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• pp.94-98
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• 2005

Purpose: To compare the radiographic evaluations between two radiographic views (AP and lateral views) and four radiographic views (AP, lateral and both oblique views) in ankle fractures. Materials and Methods: From January 2000 to June 2002, 60 cases of ankle fractures were treated with open reduction and internal fixation and its followed up periods were at least 2 years. All cases were classified into three groups according to the method of preoperative radiographic evaluation. Two radiographic views (AP and lateral views) were taken in group A and four radiographic views (AP, lateral and both oblique views) were taken in group B. 12 Cases were evaluated with three dimensional computed tomography (3D CT). Four radiographic views and 3D CT were taken in group C. All cases were classified according to the Danis-Weber and Lauge-Hansen classification. Displacement of fracture fragment of medial, lateral, posterior malleolus and size of fracture fragment of posterior malleous were measured using picture archiving communication system (PACS). Results: Although kappa value between two or four radiographic views were good or excellent in Danis-Weber classification and Lauge-Hansen classification of ankle fractures, the displacements of medial and lateral malleoli were statistically different. Four radiographic views evalulated the degree of displacement of medial and lateral fragments more accurately compared to two radiographic views. Conclusion: Four radiographic views will be more useful than two radiographic views to decide the method of treatment and operation considering the displacement of fracture fragment.

• 한국통신학회논문지
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• 제36권11B호
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• pp.1277-1284
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• 2011

오늘날 많은 어플리케이션들이 방화벽에서 차단을 막기 위해 HTTP 프로토콜의 기본 포트인 80번 포트를 사용하고 있다. HTTP 프로토콜이 예전처럼 웹 브라우징에만 사용되는 것이 아니라 P2P 어플리케이션의 검색, 소프트웨어 업데이트, 네이트온 메신저의 광고 전송 등 다양한 어플리케이션에 사용되며 다양한 형태의 서비스를 제공하고 있다. HTTP 트래픽의 증가와 다양한 어플리케이션들이 HTTP 프로토콜을 사용함으로써 어떤 서비스들이 어떻게 HTTP 이용하는지에 대한 파악이 중요해지고 있으며, 방화벽과 같은 장비에서 특정 어플리케이션의 트래픽을 차단하기 위해서는 HTTP 프로토콜 레벨이 아닌 어플리케이션 레벨의 분석이 필요하게 되었다. 따라서 본 논문에서는 HTTP 트래픽에 대해 HTTP 프로토콜을 사용하는 클라이언트측의 어플리케이션별로 분류하고 이를 서비스별로 그룹지어 HTTP 트래픽을 클라이언트측면에서 분류하는 방법을 제안하고자 한다. 제안한 방법론을 학내 네트워크에서 발생하는 트래픽에 적용함으로써 알고리즘의 타당성을 검증하였다.

• 한국산림과학회지
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• 제108권3호
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• pp.277-289
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• 2019

본 연구는 백두대간 미시령부터 단목령구간의 마루금 주변 산림식생을 식물사회학적군락유형 분류를 통해 향후 백두대간의 생태적 식생관리방안에 대한 연구자료를 축적하고자 수행하였다. 2016년 5월부터 10월 사이에 150개소의 조사구를 설치하여 식생조사를 실시하였다. 그 자료를 이용하여 종조성을 중심으로 군락유형을 분류한 결과, 총 5개의 식생단위로 분류하였으며, 1개의 군락군(신갈나무군락군), 2개의 군락(분비나무군락, 까치박달군락), 4개의 군(눈측백군, 분비나무전형군, 조릿대군, 까치박달전형군), 2개의 소군(눈잣나무소군, 개박달나무소군)으로 분류하였다. 일치법을 통해 식생단위와 환경인자간의 상관관계에서 해발고도는 1,000 m를 기준으로 분비나무군락과 까치박달군락의 조릿대군으로 나뉘어지는 경향을 보였다. 평균 암석노출도는 눈잣나무군에서가 가장 높았으며, 평균 출현종수는 까치박달전형군에서 가장 높았다. 교목층 평균 식피율은 눈잣나무소군을 제외하고 60% 이상이었다.