• Journal of KIISE:Software and Applications
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• v.37 no.9
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• pp.659-668
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• 2010

Collaborative filtering systems grasp behaviors for a new user and need new information for the user in order to recommend interesting items to the user. For the purpose of acquiring the information the collaborative filtering systems learn behaviors for users based on the previous data and can obtain new information from the results. In this paper, we propose an inductive inference method to obtain new information for users and rank items by using the new information in the proposed method. The proposed method clusters users into groups by learning users through NMF among inductive machine learning methods and selects the group features from the groups by using chi-square. Then, the method classifies a new user into a group by using the bayesian probability model as one of inductive inference methods based on the rating values for the new user and the features of groups. Finally, the method decides the ranks of items by applying the Rocchio algorithm to items with the missing values.

• Journal of Korea Multimedia Society
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• v.16 no.7
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• pp.810-819
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• 2013

FCM (Fuzzy C-Means) clustering algorithm, a typical split-based clustering algorithm, has been successfully applied to the various fields. Nonetheless, the FCM clustering algorithm has some problems, such as high sensitivity to noise and local data, the different clustering result from the intuitive grasp, and the setting of initial round and the number of clusters. To address these problems, in this paper, we determine fuzzy numbers which project the FCM clustering result on the axis with the specific attribute. And we propose a model that the fuzzy numbers apply to FDT (Fuzzy Decision Tree). This model improves the two problems of FCM clustering algorithm such as elevated sensitivity to data, and the difference of the clustering result from the intuitional decision. And also, this paper compares the effect of the proposed model and the result of FCM clustering algorithm through the experiment using real traffic and rainfall data. The experimental results indicate that the proposed model provides more reliable results by the sensitivity relief for data. And we can see that it has improved on the concordance of FCM clustering result with the intuitive expectation.

• Journal of Technology Innovation
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• v.28 no.1
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• pp.31-52
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• 2020

This study was started to verify the preliminary(Ex-ante) discrimination power of the firm's high-activity using the 'Forward-looking' oriented technology appraisal model used in technology financing. The analytical firms are classified into the industry (manufacturing / non-manufacturing) and the age of company (initial / non-initial). High-activity SMEs are defined as those that achieve at least twice the average asset turnover ratio of the cluster. As a result of the discriminant model by applying C5.0 method, which is one of decision tree models, classification accuracy is more than 99% in all industries and the age of company, and it is confirmed that the discriminant power of the model is stable. As a result, the management expertise, capital involvement and funding capacity items were identified as a critical variable for the high-activity SMEs. In addition, the technology management capability and technology life cycle were also confirmed to be the items to determine high-activity SMEs in the manufacturing industry. Through this, it was possible to confirm some possibility of prior discrimination and policy utilization of high-activity SMEs by using technology appraisal items.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.15 no.4
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• pp.184-191
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• 2010

Epiphytic diatoms are very important organisms in the seagrass ecosystem because their colonization on leaves increases microtopography and provides attachment sites that make the leaves more hospitable for other epiphytes. Epiphytic diatoms were attached to the leaves in the following 3 manners: (1) parallel to the cells of the seagrass leaf or by molding the shape of the diatom along the cell shape of the leaf; (2) with increasing diatom density toward the leaf tip; (3) Cocconeis species as attaching species than the Naviculoid species as the second attaching species on the leaf tip. In addition, the epiphytic diatom communities on Zostera marina leaves differed from those on the Zostera japonica leaves, but were very similar to the epiphytic communities on Zostera caespitosa leaves. Our results suggest that the epiphytic community on seagrass leaves varied according to the leaf shape such as leaf length and width, but the leaf cell shape or size did not influence the dynamics of the diatom communities.

• Journal of Information Management
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• v.43 no.2
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• pp.67-83
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• 2012

Patents are the sources reflecting technology development by research and development(R&D) as well as the tools to secure economic benefits in the market, so using patent information is crucial for decision making processes in formulating technology development strategies. Intellectual property(IP) portfolios including a set of patents related to products and individual technologies are the basic unit that has the economic meaning in making national policies and technology strategies. Therefore, this research develops a total of 69 measures to identify the collective characteristics for IP portfolios("characteristics index"), by incorporating the patent indexes that have been widely used and the patent indexes that developed recently, and applying the concepts to patent analysis that have been used in interdisciplinary studies including economics and library and information science. The results of this research produced a characteristics index manual which helps experts to identify characteristics of technological innovation systems from various dimensions. We expect that the characteristics indexes can be used as a supportive tool for comparative analysis among IP portfolios in the technology policy making process.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.1745-1749
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• 2010

하천 내 설치하는 수제는 제방보호 및 유로변경의 목적으로 하천내 시공되는 구조물 중의 하나로서 하천복원과정에 있어 필수불가결한 구조물 중의 하나로 인식되고 있다. 수제는 대개 하나 이상의 일련의 군집형태로 수로 자체의 특성을 고려하여 설치가 되고 있다. 그러나 이러한 수제의 무분별한 설치는 주변 경관을 저해하는 요소로 나타날 수 있을 뿐만 아니라 시공에 따른 비용에 적지 않은 부담을 야기 시키기 충분하다. 그러나 적절한 간격 조절을 통해 생태, 호안보호, 경관 등의 수제의 기능을 만족한다면 이보다 더 효율적인 것을 없을 것이다. 따라서 본 연구에서는 수제간격에 따른 하상변동 실험을 통해 효율적인 배치간격을 제시할 목적으로 수행되었다. 실험은 폭 1.2m, 길이 50m, 높이 1.5m 인 직선수로에서 수로폭의 15%길이를 갖는 연직수제를 2개를 대상으로 각각 수제길이의 2~8배의 간격 조절을 통해 하상변동실험을 수행 하였다. 실험용입자는 중간입경($d_{50}$)이 0.15mm 인 모래를 사용하였으며 6시간 동안 통수하였다. 실험결과 유수에 의해 첫 번째 설치된 수제에서 지배적으로 많은 영향을 받게 되면서 후면부에 설치된 수제는 비교적 영향을 덜 받고 있었다. 그러나 그 영향권을 점차 벗어나게 되면서 수제 간격이 4배 이상일 경우 후면부 수제에서도 세굴이 발생하고 있음을 확인할 수 있었다. 이러한 자료는 추후 수제설치에 따른 효율적인 배치 간격 결정에 중요한 자료로 이용될 수 있을 것이다. 그러나 수제들이 시공되는 대다수의 하천들은 어느 정도의 만곡도를 갖고 있기 때문에 이를 간과해서는 않될 것으로 판단된다.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.17 no.4
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• pp.124-137
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• 2018

The main purpose of this study is to find the hotspots of crimes that occur frequently in the space and to derive the appropriate CCTV installation location. One of the characteristics of crime is clustered around past occurrence area, and these crimes are strongly correlated. It is also possible to find the cause of the clusters and the variables that affect the crime through the history of the crime. In addition to the traditional OLS model, spatial differential model including spatial autocorrelation and spatial error model were used to select the variables influencing the five major crime rate, the theft rate and the foreign resident rate. The variables affecting the Five major crimes were positive (+) sign for the welfare and the rate of the bar cluster rate, and negative (-) for the street density. The CCTV area occupies 46% of the hotspots based on the overlapping of the areas where the elderly people are crowded, the bar cluster, many multicultural families, and the areas with low density of street lamps. It turned out. Taking into account the current CCTV operation, the total number of new cases to cover the risk point was 89.

• Journal of the Korean Geotechnical Society
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• v.36 no.6
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• pp.5-15
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• 2020

This study deals with the use of porewater pressure transducers to evaluate the stability of a fill dam through the correlation between the porewater pressure and water level. As a result of performing principal component analysis on a total of eight porewater pressure transducers installed in the fill dam, they were distributed into three groups. It was found to be distributed as internal, external, and top based on seepage line in the dam body. The correlation coefficient between porewater pressures and water level in group A located inside the seepage line indicated 0.94 to 1.00 and they are showing a strong positive linear relationships. It indicates that maintenance of the dam is required by the porewater pressure transducers of the group A. In addition, a linear regression analysis was performed with the determination coefficients of the group A of 0.89 to 0.99. It was found that the pore water pressure can be predicted and the stability of the dam can be evaluated by comparing it with the currently measured values when the water level is fixed as an explanatory variable.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.346-357
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• 2008

관상학(Physiognomy)이란 사람의 얼굴을 보고 그의 운명, 성격, 수명 따위를 판단하는 방법을 연구하는 학문을 말한다. 이 논문에서 언급하는 관상학은 동양에서 말하는 관상학, 특히 얼굴의 부분적 특성이나 전체적인 조화를 통해 성격과 운영을 예측하는 학문을 의미한다. 이 연구는 동양 관상학을 적용한 성격별 얼굴 설계 시스템 구축에 관한 것으로, 첫째, 보편적인 성격 분류를 위해 MBTI에서 다루는 성격 어휘 161개를 군집분석을 통해 39개의 대표 어휘로 추출하였다. 추출된 대표 성격 어휘의 의미상 거리를 나타내기 위하여 서베이를 통해 얻은 데이터를 다차원 척도법을 통해 2차원 공간상에 성격 어휘의 관계를 분석하였다. 둘째, 얼굴 시각화를 위해 먼저 얼굴의 형태적 특성을 결정짓는 요소를 크게 얼굴형, 눈, 코, 입, 이마, 눈썹으로 분류하고, 분류된 6가지 얼굴 형태의 29가지 하위요소 별 성격을 한국인의 얼굴 특성을 기준으로 관상학적 정리 및 숫자형식 코드화를 하였다. 추출된 대표 성격 어휘별 얼굴 요소의 형태를 앞서 정리된 코드에 따라 하나의 얼굴 형태로 조합하여 39가지 얼굴을 시각화 하여 마지막으로, 성격별 얼굴 설계 시스템 'FACE'를 제작하였다. 이 연구는 사람의 성격 특성에 따라 그에 맞는 얼굴 형태를 구현하는 시스템을 제작하여 일반 사용자 뿐 아니라 애니메이션 캐릭터 개발자에게 객관적인 도움을 줄 수 있으며 또한 예로부터 내려오는 관상학의 적용 범위를 넓힐 수 있는 가능성을 보여주었다고 할 수 있다.

• Journal of Life Science
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• v.15 no.3 s.70
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• pp.332-336
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• 2005

Epoxide hydrolase activities of various microbial cells were analyzed by colorimetric assay based on alkylation of epoxides with 4-(p-nitrobenzyl)pyridine (NBP). The epoxide hydrolase activity was determined by measuring the decrease of color intensity at 560 nm due to the decrease of styrene oxide substrate by epoxide hydrolase-catalyzed hydrolysis reaction. The experimental conditions of NBP colorimetric assay were optimized for the efficient measurement of epoxide hydrolase activities from various microbial cells.