• Journal of the Korean Society for information Management
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• v.31 no.1
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• pp.163-187
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• 2014

The purpose of this study is to explain information usage behavior of researchers in the field of ocean science and technology. The study mainly collected primary data for advancement of special library services as well as establishment of personalized information services based on personal characteristics such as age, education level, and area of research. The data collection was conducted for two weeks during January 2014, through a web survey to 348 researchers in national ocean research institutions in South Korea. Total of 115 researchers replied. The analysis showed that the most preferred type of information medium was a scholarly journal. Researchers used more foreign published journals compared to Korean ones, while favoring digital formats rather than printed ones. The top channels for information collection were 'web search' and 'affiliated libraries.' Most pointed out difficulties of data collection were 'lack of variety of digital resources in affiliated libraries' and 'reluctance to use charged information.' Key elements for satisfactory user experience were ranked in the order of 'digital library system,' 'library staff,' and 'library collection' and so on;which proves the close relationship between library service and information usage service satisfaction. The result of an assessment for demands in special libraries showed that 'personalized information search service,' 'project support service,' and 'research direction analysis service' should be implemented in the future.

• Economic and Environmental Geology
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• v.50 no.3
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• pp.195-214
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• 2017

Statistical landslide susceptibility analysis, which is widely used among various landslide susceptibility analysis approaches, predicts the unstable area by analyzing statistical relationship between landslide occurrence locations and landslide controlling factors. However, uncertainties are involved in the procedures of the susceptibility analysis and therefore, fuzzy approach has been used to deal properly with uncertainties. The fuzzy approach used fuzzy set theory and fuzzy membership function to quantify uncertainties involved in landslide controlling factors. Various fuzzy approaches were suggested in the procedure of the membership value determination and fuzzy operation in the previous researches. However, few studies were carried out to compare the analysis results obtained from various approaches for membership function determination and fuzzy operation. Therefore, in this study, the authors selected Jinbu area, which a large number of landslides were occurred at in 2006, to apply two most commonly used methods, the frequency ratio and the cosine amplitude method to derive membership values for each controlling factor. In addition, the integration of different thematic layers to produce landslide susceptibility map was performed by several fuzzy operators such as AND, OR, algebraic product, algebraic sum and Gamma operator. The results of the landslide susceptibility analysis using two different methods for the determination of fuzzy membership values and various fuzzy operators were compared on the basis of ROC graph to check the feasibility of the fuzzy based landslide susceptibility analysis.

• Journal of the Korean Society for information Management
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• v.37 no.2
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• pp.1-22
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• 2020

The legislative cosponsorship network shows the legislative process of the National Assembly through the relationship between the members of the National Assembly formed by cosponsorship. This study focused on the library bill proposed during the 19th National Assembly term, and conducted the cosponsorship network analysis, the centrality analysis of actors of the National Assembly, and a subgroup analysis of keyword-centric networks. As the result of the study, the library bill's cosponsorship network was segmented according to political parties, and lawmakers who played an intermediary role in close proximity to other political party members had an important influence on the network. When restructured into a keyword-oriented network, the network structure segmented into political parties improved as members of different parties shared the same keywords and formed subgroups. Based on the results, it was suggested that a strategy for spreading and sharing policy issues based on core keywords rather than library legislation, centered on lawmakers who play a mediating role between parties, is needed to activate library legislation.

• Information Systems Review
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• v.17 no.2
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• pp.193-218
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• 2015

The purpose of this study is to investigate the effects of closed-type SNS use (i.e., Naver Band) on the perception and behavior of the Korean Army soldiers. In contrast to open-type SNS (e.g., Facebook or Twitter), Naver Band is an online communication service system mostly based on confined offline social network. Therefore, it increases communication between acquaintances who have previously formed relationships. Although the Korean Army recently began to use Naver Band as a method of communication between soldiers, their parents/acquaintance, and Army commanders (or leaders), little research has been done about how this use directly affects army soldiers. Hence, applying the motivation opportunity ability theory of behavior, this study examines how enjoyment (Motivational factor), social ties (Opportunity factor), and social intelligence (Ability factor) affect soldiers' belongingness to their organization and organizational citizenship behavior (OCB). We also hypothesize that army soldiers' belongingness and OCB may enhance their individual performance. Survey results show that enjoyment, social ties, and social intelligence increase army soldiers' belongingness, which leads to OCB. Also, enhanced OCB increases individual performance. However, the effect of enjoyment and social ties on soldiers' OCB is non-significant and soldiers' belongingness does not have influence on individual performance. Theoretical and practical implications are presented.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.382-382
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• 2011

최근의 극심한 기상이변으로 인하여 발생되는 유출량의 예측에 관한 사항은 치수 이수는 물론 방재의 측면에서도 역시 매우 중요한 관심사로 부각되고 있다. 강우-유출 관계는 유역의 수많은 시 공간적 변수들에 의해 영향을 받기 때문에 매우 복잡하여 예측하기 힘든 요소이며, 과거에는 추계학적 예측모형이나 확정론적 예측모형 혹은 경험적 모형 등을 사용하여 유출량을 예측하였으나 최근에는 인공신경망과 퍼지모형 그리고 유전자 알고리즘과 같은 인공지능기반의 모형들이 많이 사용되고 있다. 하지만 유출량을 예측하고자 할 때 학습자료 및 검정자료로써 사용되는 유출량은 수위-유량 관계곡선식으로부터 구하는 경우가 대부분으로 이는 이렇게 유도된 유출량의 경우 오차가 크기 때문에 그 신뢰성에 문제가 있을 것으로 판단된다. 따라서 본 논문에서는 수위를 직접 예측함으로써 이러한 오차의 문제점을 극복 하고자 한다. Neuro-Fuzzy 모형은 과거자료의 입 출력 패턴에서 정보를 추출하여 지식으로 보유하고, 이를 근거로 새로운 상황에 대한 해답을 제시하도록 하는 인공지능분야의 학습기법으로 인간이 과거의 경험과 훈련으로 지식을 축적하듯이 시스템의 입 출력에 의하여 소속함수를 최적화함으로서 모형의 구조를 스스로 조직화한다. 따라서 수학적 알고리즘의 적용이 어려운 강우와 유출관계를 하천유역이라는 시스템에서 발생된 신호체계의 입 출력패턴으로 간주하고 인간의 사고과정을 근거로 추론과정을 거쳐 수문계의 예측에 적용할 수 있을 것이다. 유전자 알고리즘은 적자생존의 생물학 원리에 바탕을 둔 최적화 기법중의 하나로 자연계의 생명체 중 환경에 잘 적응한 개체가 좀 더 많은 자손을 남길 수 있다는 자연선택 과정과 유전자의 변화를 통해서 좋은 방향으로 발전해 나간다는 자연 진화의 과정인 자연계의 유전자 메커니즘에 바탕을 둔 탐색 알고리즘이다. 즉, 자연계의 유전과 진화 메커니즘을 공학적으로 모델화함으로써 잠재적인 해의 후보들을 모아 군집을 형성한 뒤 서로간의 교배 혹은 변이를 통해서 최적 해를 찾는 계산 모델이다. 이러한 유전자 알고리즘은 전역 샘플링을 중심으로 한 수법으로 해 공간상에서 유전자의 개수만큼 복수의 탐색점을 설정할 뿐만 아니라 교배와 돌연변이 등으로 좁아지는 탐색점 바깥의 영역으로 탐색을 확장할 수 있기 때문에 지역해에 빠질 위험성이 크게 줄어든다. 따라서 예측과 패턴인식에 강한 뉴로퍼지 모형의 해 탐색방법을 유전자 알고리즘을 사용한다면 보다 정확한 해를 찾는 것이 가능할 것으로 판단된다. 따라서 본 논문에서는 선행우량 및 상류의 수위자료로부터 하류의 단시간 수위예측에 관해 연구하였으며, 이를 위해 유전자 알고리즘을 이용항여 소속함수를 최적화 시키는 형태의 Neuro-Fuzzy모형에 대하여 연구하였다.

• Economic and Environmental Geology
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• v.36 no.3
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• pp.243-255
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• 2003

The mathematical models for GIS-based spatial data integration have been developed for geological applications such as mineral potential mapping or landslide susceptibility analysis. Among various models, the effectiveness of fuzzy logic based integration of multiple sets of geological data is investigated and discussed. Unlike a traditional target-driven fuzzy integration approach, we propose a data-driven approach that is derived from statistical relationships between the integration target and related spatial geological data. The proposed approach consists of four analytical steps; data representation, fuzzy combination, defuzzification and validation. For data representation, the fuzzy membership functions based on the likelihood ratio functions are proposed. To integrate them, the fuzzy inference network is designed that can combine a variety of different fuzzy operators. Defuzzification is carried out to effectively visualize the relative possibility levels from the integrated results. Finally, a validation approach based on the spatial partitioning of integration targets is proposed to quantitatively compare various fuzzy integration maps and obtain a meaningful interpretation with respect to future events. The effectiveness and some suggestions of the schemes proposed here are illustrated by describing a case study for landslide susceptibility analysis. The case study demonstrates that the proposed schemes can effectively identify areas that are susceptible to landslides and ${\gamma}$ operator shows the better prediction power than the results using max and min operators from the validation procedure.

• Journal of the Korean Society for information Management
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• v.28 no.1
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• pp.263-283
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• 2011

Business Intelligence(BI) is being used by the individuals who make decisions for management. Dashboard supports business intelligence by visualizing data, information, and knowledge so that they can be grasped at a glance. In this study, applications of dashboard were analyzed in the ARL libraries websites. Furthermore, the study suggested methods to establish and use the information system of the business intelligence and dashboard on the academic library websites in Korea. The findings of this study are expected to serve as the basic data to utilize the business intelligence and dashboard as a tool with which Korean academic libraries can demonstrate their value to the stakeholders in the academic community.

• Journal of the Korean Society for Library and Information Science
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• v.46 no.4
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• pp.285-309
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• 2012

The purpose of this study is to analyze whether bibliographic factors influence citation speed and the number of citations or not and whether citation speed affects the number of citations. Another purpose of this study is that if bibliographic factors carry out a significant role. For this analysis, this study is based on the assumption that all papers published by researchers in South Korea distributed power law shape. The main results of this study are as follows: First, the papers written by foreign first authors or reprint authors were cited more quickly from first citation speed and average citation speed. These papers were cited much more from first citation speed and average citation speed than by domestic first authors or reprint authors. The papers, collaborated by international researchers, were cited more quickly from first citation speed but were not different from average citation speed than by only domestic researchers. The papers, collaborated by international researchers, were cited much more than by only domestic stand-alone researchers. The number of authors and the impact factor influenced first citation speed, average citation speed and the number of citations. Second, the faster first citation speed and the slower average citation speed, the more papers were cited. First citation speed more affected the higher number of citations than the average citation speed. Third, all five bibliographic factors influenced the impact relationship from first citation speed to the number of citations through the moderating effect analysis. Fourth, only three bibliographic factors (the country of the first author; the country of the reprint author; the number of the coauthors) affected the impact relationship from first citation speed to the number of citations but two bibliographic factors did not influence through the moderating effect analysis.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.2
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• pp.149-169
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• 2021

As collaboration of research is increasing in social science, this study aims to investigate the changes in patterns of research collaboration in the field of library and information science, over the years from 2002 to 2020. The data used for this study were collected from four major journals in the field to analyze the frequency of co-authored research articles by journals and by institutions that all authors were associated with. Also, the institutions data were used to build a co-authorship network, which produced various indices including TBC (Triangle Betweenness Centrality) that showed which institutions were more central than others in the network. The result shows the number of co-authored articles were constantly increasing in all journals, and some institutions, mostly universities, showed the higher centrality scores than others and the range of collaboration were also expanded.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.9
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• pp.189-193
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• 2013

In this paper, in order to predict and prevent electrical fires that occur in the power system, we measured the informations of electric power, and then proposed a system to predict the electrical fire using these informations. To this end, we analyzed the correlations for over-current, overload and overheating. These states are caused by the grounding current and the leakage current, and are the main causes of an electrical fire. Use these correlations to derive the derivative of the fuzzy rules for membership function. The designed algorithm was simulated by utilizing the informations of the actual power of the switchgear-panel.