• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.324-324
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• 2018

지구 온난화로 인한 기후변화로 점차 가속됨에 따라 이로 인한 수자원 관리의 취약성이 증가되고 있는 전망이다. 물수지 순환에서 지하수와 증발산은 수자원 총량에서 많은 부분을 차지하고 있는 인자로써, 두 인자의 정량적인 분석은 지표와 대기 시스템의 분석에서 필수적이라고 할 수 있다. 지구의 담수 중 약 30%를 차지하고 있는 것이 지하수로써 이는 토양의 수원으로도 작용할 수 있으며, 특히 지하수면이 토양과 가까울수록 토양수분에 상당한 영향을 미칠 뿐만 아니라 증발산의 변동성과도 밀접하게 연결되어 있다. 지하수위 및 수문인자의 변화는 지하수를 활용하는 농업 및 수자원 관리와도 연계되어 있으므로 지하수와 증발산의 연관성에 대한 정량적인 변화의 비교/분석이 필수적이다. 또한 식생의 종류에 따른 지하수 및 증발산의 거동이 달라지게 됨으로 이에 대한 영향 또한 고려해야 한다. 그러나 지하수와 증발산의 직접적인 관계를 규명하는 선행연구가 아직 미흡하며, 국내 수자원분야에서의 두 인자간의 직접적인 연관성에 대하여 밝힌 연구는 거의 전무한 실정이다. 따라서 본 연구에서는 국내 플럭스 타워 관측 지점 중 다른 지표 특성 및 식생 조건을 가진 지역을 선정하여 각 다른 특성의 관측 지점에서의 분석을 실시하고자 한다. 관측된 수문기상인자인 증발산, 강수량과 관측 지점에서 가장 가까운 지하수 측정망으로부터 획득된 지하수 자료를 활용하여 각 인자들 사이의 연관성을 비교/분석을 실시하여 수문순환에서의 이들 간의 영향 정도를 파악할 예정이다.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.1-13
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• 2020

In order to understand the recommendation algorithm applied to the online video platform, this study examines the relationship between the content characteristics of K-pop music videos and related videos recommended for playback on YouTube, and analyses which videos are recommended as related videos through network analysis. As a result, the more liked videos, the higher recommendation ranking and most of the videos belonging to the same channel or produced by the same agency were recommended as related videos. As a result of the network analysis of the related video, the network of K-pop music video is strongly formed, and the BTS music video is highly centralized in the network analysis of the related video. These results suggest that the network between K-pops is strong, so when you enter K-pop as a search query and watch videos, you can enjoy K-pop continuously. But when watching other genres of video, K-pop may not be recommended as a related video.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.1-17
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• 2010

Association rules among product items by association analysis suggest sales effect among products. These are useful for marketing strategies such as cross-selling and product display etc. However, if we evaluate more practical product values reflecting cross-selling effects, they will be also more useful for the decisions of companies such as product item selection for product assortment and profit maximization etc. This study proposes product value evaluation models with the concept of effective value based on single-item association chain and itemset association chain. In addition to that, we performed experiments with transaction data related to clothing of an online shopping mall in Korea to show the performances of our models. In result, we confirmed that some items increased in effective values compared with their pure values while the others decreased in effective values.

• Korean System Dynamics Review
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• v.4 no.1
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• pp.93-119
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• 2003

한 산업에서 인력 수급을 전망하는 것은 인력의 수요자인 기업의 측면에서는 안정적인 인력 확보 전략을 수립하기 위해서, 공급자인 산업 종사자들에게 있어서는 자신들이 앞으로 진출해야할 산업의 매력도를 파악하기 위해서, 그리고 정부 차원에서는 관련 산업에 있어서 중복 투자의 방지와 효율적이고 균형된 산업 발전을 위한 정책 수립을 위해서 매우 중요하다. 그러나 이러한 인력 수급 전망들은 종종 잘못된 시장 분석으로 인하여 인력의 과소 공급 또는 과잉 공급이라는 의도하지 않은 결과를 가져오는 경우가 있다. 이는 전체적인 시각에서 시장의 구조적 특성을 분석하기보다는 현상을 조사하는 수준에 머물거나 현재의 상황 또는 단일 산업만을 고려할 뿐 시간의 흐름에 따른 동태적 변화와 지연된 피드백의 효과, 그리고 관련 산업간의 유기적 연관관계를 반영하지 못한 채 단기적이고 단선적인 관점에서 인력 수급을 전망하는데 그 원인이 있다고 볼 수 있다. 특히, 다른 산업과의 연관 관계가 복잡하고 인력의 수요의 급증에도 불구하고 산업에서 요구하는 인력을 양성하기까지 많은 시간이 소요되는 첨단 산업 및 신생 산업에서의 경우 이러한 현상은 더욱 두드러지게 나타날 수 있다. 이러한 관점에서 본 논문은 변수간의 상호 동태적인 관계와 시간의 흐름에 따른 행태를 분석하는 데 용이한 SD 방법론에 기초하여 최근 빠르게 성장하고 있는 정보보호산업에서의 동태적인 인력 수급 모델을 구현하여 향후 국내 정보 보호 인력의 수급 행태가 어떻게 전개될 것인지를 분석해 보았으며 이를 통하여 동태적 시각에서 인력 수급 불균형 현상의 원인을 파악하고 문제해결을 위한 대안을 제시하고자 한다.

• The korean journal of orthodontics
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• v.34 no.4 s.105
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• pp.279-287
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• 2004

In growing patients with Class III malocclusion, the various patterns of maxillofacial growth are a key element that affects the success or failure of treatment. Therefore it is important to correctly predict maxillofacial growth before initiating treatment. The purpose of this study was to find out the correlation between the maxillofacial morphology of parents and their Class III children by analyzing lateral cephalograms and hereditary factors. Among Class III preadolescent children, 50 families were obtained. To find out the specific hereditary factors involved, fingerprints were obtained and genetic correlation with the maxillofacial morphology was analyzed. The following conclusions were made. 1. A significant correlation (P<0.05-0.00l) was found in many of the cephalometric measurements between the offspring and their parents. The correlation in the skeleton measurements was higher than in the denture measurements. The father-offspring correlation was higher than the mother-offspring correlation 2. A significant correlation (P<0.05-0.00l) was found in fingerprint units between the offspring and their parents. The mother-offspring correlation was higher than the father-offspring correlation. 3. Between the maxillofacial morphology and fingerprint units, there was significant genetic correlation (P<0.05-0.01). Based on the analysis of genetic correlation, higher correlation was found in the parent-son pairing than the parent-daughter pairing.

• The Journal of the Acoustical Society of Korea
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• v.23 no.2
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• pp.109-116
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• 2004

This paper deals with data association using 3 sets of passive linear array sonars (PUS) geometrically positioned in a Y-shaped configuration, but fixed in an underwater environment. The data association problem is directly transformed into a 3-D assignment problem, which is known to be NP-hard. For generic passive sensors, it can be sotted using conventional algorithms, while it in PLAS becomes a formidable task due to the presence of bearing ambiguity. In particular, we proposed data association method robust to bearing measurements errors by incorporating frequency information and analyze a region of ghost problem by geometrical relation PUS and target. We analyzed the effectiveness of the proposed method by representative simulation in multi-target.

• Journal of Korea Technology Innovation Society
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• v.11 no.2
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• pp.314-334
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• 2008

This study aims to analyze the economic impact of IT industries to the Korean economy using IO tables from 1980 to 2003. As a result for the comparison with the economic impacts subject to 9 major industries, an importance of IT industries in Korean economy is likely to have increased very rapidly since 1980. And we also found that the production effect and spillover effect of Korean IT industry has steadily reduced whereas its price effect is still large.

• Journal of Internet Computing and Services
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• v.13 no.5
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• pp.33-43
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• 2012

Semantic web is utilized to construct advanced information service by using semantic relationships between entities. Text mining can be applied to generate semantic relationships from unstructured data resources. In this study, ontology schema guideline, ontology instance generation, disambiguation of same name by text mining and advanced historical people finding service by reasoning have been proposed. Various relationships between historical event, organization, people, which are created by domain experts, are linked to literatures of National Institute of Korean History (NIKH). It improves the effectiveness of user access and proposes advanced people finding service based on relationships. In order to distinguish between people with the same name, we compares the structure and edge, nodes of personal social network. To provide additional information, external resources including thesaurus and web are linked to all of internal related resources as well.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.4
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• pp.443-449
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• 2014

Preferences of users on movies are observables of various factors that are related with user attributes and movie features. For movie recommendation, analysis methods for relation among users, movies, and preference patterns are mandatory. As a relational analysis tool, we focus on the Infinite Relational Model (IRM) which was introduced as a tool for multiple concept search. We show that IRM-based co-clustering on preference patterns and movie descriptors can be used as the first tool for movie recommender methods, especially content-based filtering approaches. By introducing a set of well-defined tag sets for movies and doing three-way co-clustering on a movie-rating matrix and a movie-tag matrix, we discovered various explainable relations among users and movies. We suggest various usages of IRM-based co-clustering, espcially, for incremental and dynamic recommender systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.3
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• pp.67-72
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• 2021

Association rule mining is a method of showing the relationship between patterns hidden in several tables. These days, granulation logic is used to add more detailed meaning to association rule mining. In addition, unlike the existing system that recommends using existing data, the granulation related rules can also recommend new subscribers or new products. Therefore, determining the qualitative size of the granulation of the association rule determines the performance of the recommendation system. In this paper, we propose a granulation method for subscribers and movie data using fuzzy logic and Shannon entropy concepts in order to understand the relationship to the movie evaluated by the viewers. The research is composed of two stages: 1) Identifying the size of granulation of data, which plays a decisive role in the implications of the association rules between viewers and movies; 2) Mining the association rules between viewers and movies using these granulations. We preprocessed Netflix's MovieLens data. The results of meanings of association rules and accuracy of recommendation are suggested with managerial implications in conclusion section.