• Korean Journal of Environment and Ecology
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• v.35 no.4
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• pp.377-386
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• 2021

This study was conducted to provide basic data for habitat management and preservation of Jeongmaek. A total of 18 priority research areas were selected with consideration to terrain and habitat environment, and 54 fixed plots were selected for three types of habits: development, valley, and forest road and ridge. The survey was conducted in each season (May, August, and October), excluding the winter season, from 2016 to 2018. The distribution analysis of birds observed in each habitat type using a self-organizing map (SOM) classified them into a total of four groups (MRPP, A=0.12, and p <0.005). The comparative analysis of the number of species, the number of individuals, and the species diversity index for each SOM group showed that they were all the highest in group III (Kruskal-Wallis, the number species: x² = 13.436, P <0.005; the number of individuals: x² = 8.229, P <0.05; the species diversity index: x² = 17.115, P <0.005). Moreover, the analysis by applying the land cover map to the random forest model to examine the index species of each group and identify the characteristics of the habitat environment showed a difference in the ratio of the habitat environment and the indicator species among the four groups. The index species analysis identified a total of 18 bird species as the indicator species in three groups except for group II. When applying the random forest model and indicator species analysis to the results of classification into four groups using the SOM, the composition of the indicator species by the group showed a correlation with the habitat characteristics of each group. Moreover, the distribution patterns and densities of observed species were clearly distinguished according to the dominant habitat for each group. The results of the analysis that applied the SOM, indicator species, and random forest model together can derive useful results for the characterization of bird habitats according to the habitat environment.

• Proceedings of the Korean Information Science Society Conference
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• 1998.10c
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• pp.237-239
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• 1998

CSCW 지원 도구에서 접근제어 정보의 효과적 관리는 매우 중요하다. 이는 접근제어가 관리 비용이 많이 들고, 에러가 발생하기 쉬운 경향이 있기 때문이다. 접근 제어 모델 중 ACL 은 다양한 시스템에서 사용되고 있으나 많은 문제점을 내포하고 있기에 이를 개선한 RBAC 모델이 대두되고 있다. 하지만 다양한 공동 작업 환경의 경우, 역할에 속한 사용자들의 집합이 아니라 특별한 개별 사용자 집합에 의한 작업이 요구될 수도 있다. 따라서 CSCW 환경에서는 사용자 그룹기반의 접근제어 모델과 역할기반의 접근제어 모델을 혼합한 형태의 새로운 접근제어 모델이 필요하다. 본 연구에서는 이러한 요구사항을 만족시키기 위해서 역할기반 접근제어 모델과 사용자 기반 접근제어 모델을 혼합한 형태의 접근제어 모델을 제안한다.

• The Journal of Korean Association of Computer Education
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• v.9 no.1
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• pp.41-48
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• 2006

The latest several studies show that Wiki is a very efficient tools for collaborative learning in the distributed environments. Even though Wiki supports efficient knowledge sharing between group members, there are still some problems to be solved for collaborative learning. Since the structure of group contents becomes more complex and the links between pages are dynamically changed, each member of group has difficulties to perceive the changed contents and links on group pages. We designed the adaptive navigation system to guide individual browsing paths of each member through the calculating of friendship and the state of pages. At first we developed the relation model between member and each pages by the historical log that stored the change of pages and the activity of members, and then we implemented the adaptive navigation system using the model. Experimental results show that this adaptive system is very effective to share the group knowledge and to promote collaborative learning activities.

• Journal of Korean Society of Steel Construction
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• v.22 no.6
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• pp.573-580
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• 2010

In this study, an assessment method that considers the effects of directional wind speeds on buildings or structures that are sensitive to wind is proposed. Also, the basic characteristics of directional wind speeds were assessed by means of local annual maximum wind speeds. From the method of assessment of the characteristics of directional wind speeds, their goodness-of-fit was verified by applying extreme value distribution to the data on annual maximum wind speeds from the Korea Meteorological Administration. To consider the characteristics of directional winds, an assessment method is suggested that divides the directional wind pattern of each directional wind speed into four groups. From the study results, all the data on directional wind speeds based on the Gumbel distribution were examined using data on annual maximum wind speeds from Seoul, Tongyung, and Incheon. Since the Gumbel model of all directional wind speeds has independent probability characteristics that govern the 4 directional wind pattern groups, the application ratio proposed was based on the assessment of these four groups. According to the goodness-of-fit of the data on the annual maximum wind speeds based on the Gumbel distribution, new application ratios were proposed that consider the directional wind speeds in Seoul, Tongyung, and Incheon.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.122-130
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• 2013

As the level of competition has increased in the construction management market, it becomes a critical issue for CM firms to secure competitive edges. The objective of the study is to investigate elements of competitive strategy as perceived by CM firms and to discuss key features and implications. Michael Porter's Competitive Strategy Model was used as a framework to analyse the elements under three strategy categories. A major finding includes that Differentiation Strategy is generally perceived most important strategy category but, depending on the group to which a CM firm belongs, there exist a gap in the perception. However, regardless of the group, Cost Leadership is commonly considered least important strategy category. In particular, lowest-bidding strategy element showed the least importance. Understanding CM firms' perceptions on elements of competitive strategy provides an insight into CM firms' current strategy directions and can be useful for future tuning in a firms' own strategy.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.95-95
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• 2022

남극에 상주하는 여러 과학기지 근처 해역에서 5 mm 이하의 크기를 가지는 미세플라스틱이 다량 발견되고 있으며, 그에 따라 과학기지에서 방출하는 방류수가 미세플라스틱의 지역 소스로 여겨지고 있다. 현재는 미세플라스틱의 오염 수준을 이해하는 정도에서 그쳤으며, 미세플라스틱의 물리적인 운송 메커니즘을 이해하고자 하는 시도는 상대적으로 부족한 실정이다. 남극 세종과학기지 근처에서도 미세플라스틱이 발견됨에 따라 본 연구에서는 과학기지 인근인 마리안 소만(Marian Cove)에서의 미세플라스틱 운송 메커니즘을 확인하고자 한다. 연구 대상 지역에서 미세플라스틱의 체류 시간은 짧기 때문에, 미세플라스틱에 생물오손 또는 풍화작용이 일어나기에는 충분하지 않은 시간이다. 따라서, 마리안 소만에서 발견된 미세플라스틱에 대해 연직 속도에 따라 확실히 가라앉는 그룹과 확실히 떠오르는 그룹으로 나누어 입자의 이송 메커니즘을 파악하였다. 해수 유동 모델과 파랑 모델을 결합하여 마리안 소만의 해수 흐름을 재현하였으며, 과학기지 방류 구 위치에서 방출된 미세플라스틱의 이송 경로는 라그랑지안 입자 추적(Lagrangian Particle Tracking) 방법을 이용하였다. 본 연구에서는 미세플라스틱의 궤적을 설명하기 위해 입자의 이송에 영향을 주는 힘을 결정할 수 있는 무차원 수 HK angle을 제안하였으며, 이를 이용하여 마리안 소만에서의 미세플라스틱 이송을 설명하였다. 대상 해역 내에서 확실히 떠오르는 그룹은 표층 흐름을 따라 해안선에 도달하였으며, 확실히 가라앉는 그룹은 방출 직후 빠르게 가라 앉으며 방출 위치 근처인 해저에 집적되었다. HK angle에 따르면, 마리안 소만의 연직 흐름이 강할 경우에는 미세플라스틱의 특성에 관계없이 해수 흐름을 따라 이송됨을 확인하였다. 더 나아가, 조석에 따라 미세플라스틱의 방출 시간을 달리하고, 방출 위치를 달리하여 모의함으로써 마리안 소만과 같이 작은 만에서 미세플라스틱 오염도를 줄이기 위한 적절한 방류수 방출 시간 및 위치를 제안하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.2
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• pp.332-340
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• 2013

As a means for users to interact online, Social Network Service focuses on facilitating the building of social relation. Also, Social Network Service(SNS) provides various functions for managing relationships and sharing information based on relationships. Analyzing behavioral characteristics and the process of relationship formation can help to identify the characteristics of the model for online human relationship. In this paper, we analyze usage pattern based on characteristics posted messages of influential users in Twitter. Also, classifying Facebook users into influential group and uninfluential group based on the number of their social relations, we analyze and compare characteristics of relationship formation patterns of the two classified groups. In addition, we present characteristics of human relation model in social network according to the pattern analysis.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.6
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• pp.2815-2822
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• 2011

Clustering method in wireless sensor networks is the technique that forms the cluster to aggregate the data and transmit them at the same time that they can use the energy efficiently. In this paper, I propose the hierarchical unequal clustering method using cluster group model. This divides the entire network into two layers. The data aggregated from layer 2 consisted of cluster group is sent to layer 1, after re-aggregation the total data is sent to base station. This method decreases whole energy consumption by using cluster group model with multi-hop communication architecture. Hot spot problem can be solved by establishing unequal cluster. I also show that proposed hierarchical unequal clustering method is better than previous clustering method at the point of network energy efficiency.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.36 no.2C
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• pp.65-77
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• 2011

With the rapid expansion of application fields of vector data model such as CAD design drawing and GIS digital map, the security technique for vector data model has been issued. This paper presents the vector data hashing for the authentication and copy protection of vector data model. The proposed hashing groups polylines in main layers of a vector data model and generates the group coefficients by the line curve curvatures of the first and second type of all poly lines. Then we calculate the feature coefficients by projecting the group coefficients onto the random pattern and generate finally the binary hash from the binarization of the feature coefficients. From experimental results using a number of CAD drawings and GIS digital maps, we verified that the proposed hashing has the robustness against various attacks and the uniqueness and security by the random key.

• Journal of IKEEE
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• v.26 no.3
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• pp.494-499
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• 2022

It is reported that genome-wide RNA-seq profiles has potential as biomarkers of aging. A number of researches achieved promising prediction performance based on gene expression profiles. We develop an age prediction method based on the transcriptome of human dermal fibroblasts by selecting a proper age interval. The proposed method executes multiple rules in a sequential manner and a rule utilizes a classifier and a regression model to determine whether a given test sample belongs to the target age interval of the rule. If a given test sample satisfies the selection condition of a rule, age is predicted from the associated target age interval. Our method predicts age to a mean absolute error of 5.7 years. Our method outperforms prior best performance of mean absolute error of 7.7 years achieved by an ensemble based prediction method. We observe that it is possible to predict age based on genome-wide RNA-seq profiles but prediction performance is not stable but varying with age.