• Korean Journal of Cognitive Science
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• v.33 no.1
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• pp.23-50
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• 2022

Source memory is a cognitive process that combines the representation of the origin of the episodic experience with an item. By studying this daily process, researchers have made fundamental discoveries that make up the foundation of brain and behavior research, such as executive function and binding. In this paper, we review and conduct a bibliometric analysis on source memory papers published from 1989 to 2020. This review is based on keyword co-occurrence networks and author citation networks, providing an in-depth overview of the development of source memory research and future directions. This bibliometric analysis discovers a change in the research trends: while research prior to 2010 focused on individuality of source memory as a cognitive function, more recent papers focus more on the implication of source memory as it pertains to connectivity between disparate brain regions and to social neuroscience. Keyword network analysis shows that aging and executive function are continued topics of interest, although frameworks in which they are viewed have shifted to include developmental psychology and meta memory. The use of theories and models provided by source memory research seem essential for the future development of cognitive enhancement tools within and outside of the field of Psychology.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.1
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• pp.183-190
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• 2012

This study constructs an expert search system which has a mutual cooperation function based on thesis and author profile. The proposed methodology is as follows. First, we propose weighting method which can search a keyword and the most relevant keyword. Second, we propose a method which can search the experts efficiently with this weighting method. On the preferential basis, keywords and author profiles are extracted from the papers, and experts can be searched through this method. This system will be available to many fields of social network. However, this information is distributed to many systems. We propose a method using multi-ontology to integrate distributed data. The multi-ontology is composed of meta ontology, instance ontology, location ontology and association ontology. The association ontology is constructed through analysis of keyword association dynamically. An expert network is constructed using this multi-ontology, and this expert network can search expert through association trace of keyword. The expert network can check the detail area of expertise through the research list which is provided by the system.

• Journal of Korean Library and Information Science Society
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• v.30 no.1
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• pp.119-150
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• 1999

With the advancement of internet technology, traditional university libraries are going through metamorphosis into digital libraries. Digital libraries substitute digital files for printed materials, metadata for catalogues, world wide users on the network for localized patrons, while offering limitless possibilities for easy downloading of information. The aim of the study is to present a model for our digital library based on the knowledge auquired from the analysis of the state of the art technology employed in building and managing digital libraries and the management of large quantity of SGML electronic documents. This paper is our belief that the national information infrastructure for university digital libraries are mandatory for an open information society.

• 한국HCI학회:학술대회논문집
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• 2006.02b
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• pp.557-562
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• 2006

휴대전화는 용도적인 측면에서 PC와 유사해 지고 있으며 네트워크 기술의 발달로 다 수의 파일들을 다룰 수 있을 것으로 전망되고 있다. 그러나 휴대전화는 PC와는 다른UI특징을 가지고 있으며 이러한 차이는 다 수 파일의 관리나 이와 관련된 복잡한 태스크 수행 시 문제점이 예상된다. 본 연구는 사용자의 선험적 지식을 바탕으로 휴대전화의 UI특징에 적합한 효용성 있는 파일관리 UI가 무엇인지 알아보는 것에 목적이 있다. 이에 따라 사용자의 선험적 지식이 있는 윈도우탐색기의 사용행태 조사를 통해 자주 수행하는 태스크와 메타포어를 분석하여 휴대전화와 비교, 문제점 과 해결방안을 도출하였다. 이를 바탕으로 프로토타입을 제작하여 사용자 평가를 통해 가로방향의 페이지 분할 방식과 * 또는 #키와의 중복을 활용한 단축키 제공, 일괄적인 옵션 메뉴의 제공은 사용자가 익숙해져 있는 4방향 네비게이션 키와 12 숫자 키패드를 입력장치로 사용하는 휴대전화에서 파일관리 시 효용성이 있음을 알 수 있었다.

• The Korean Journal of Archival Studies
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• no.56
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• pp.183-212
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• 2018

The study aimed at exploring a direction of development of the conceptual model for organizing public digital records. First, it started with reviewing the possibility of item-oriented records and archival organization, then analyzed RIC-CM developed by ICA EGAD. Second, it investigated the hierarchies of the classes and descriptive information applied to public digital records, as well as showed the necessities of transition from paper-based model to digital-based one. Based on these, it studied to seek possibilities for organizing public digital records not by record groups but by items. Finally, this study proposed the direction of development of the next generation conceptual model for organizing public digital records.

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.258-266
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• 2010

In this paper, we introduce a novel method to predict next update of blogs. The number of RSS feeds registered on meta-blogs is on the order of several million. Checking for updates is very time consuming and imposes a heavy burden on network resources. Since blog search engine has limited resources, there is a fix number of blogs that it can visit on a day. Nevertheless we need to maximize chances of getting new data, and the proposed method which predicts update probability on blogs could bring better chances for it. Also this work is important to avoid distributed denial-of-service attack for the owners of blogs. Furthermore, for the internet as whole this work is important, too, because our approach could minimize traffic. In this study, we assumed that there is a specific pattern to when a blogger is actively posting, in terms of days of the week and, more specifically, hours of the day. We analyzed 15,119 blogs to determine a blogger's posting preference. This paper proposes a method to predict the update probability based on a blogger's posting history and preferred days of the week. We applied proposed method to 12,115 blogs to check the precision of our predictions. The evaluation shows that the model has a precision of 0.5 for over 93.06% of the blogs examined.

• Journal of The Korean Association For Science Education
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• v.35 no.6
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• pp.997-1006
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• 2015

Perception of the experiment is one of the most important factors of students' understanding of scientific inquiry and the nature of science. This study examined the perception of middle and high school students of the meaning of 'experiment' in the biological sciences. Semantic network analysis (SNA) was especially used to visualize students' perception structure in this study. One hundred and ninety middle school students and 200 high school students participated in this study. Students responded to two questions on the meaning of 'experiment' in science and biology. This study constructed four semantic networks based on the collected response. As a result, middle school students about the 'experiment' in science are 'we', 'direct', 'principle' of such words was aware of the experiments from the center to the active side. The high school students' 'theory', 'true', 'information' were recognized as an experiment that explores the process of creating a knowledge center including the word. In addition, middle school students relative to 'experiment' of the creature around the 'dissection', 'body', high school students were recognized as 'life', 'observation' observation activities dealing with the living organisms and recognized as a core. The results of this study will be used as important evidence in the future to map out an experiment in biological science curriculum.

• Korean Journal of Remote Sensing
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• v.38 no.5_1
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• pp.511-521
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• 2022

Cloud detection and removal from satellite images is an essential process for topographic observation and analysis. Threshold-based cloud detection techniques show stable performance because they detect using the physical characteristics of clouds, but they have the disadvantage of requiring all channels' images and long computational time. Cloud detection techniques using deep learning, which have been studied recently, show short computational time and excellent performance even using only four or less channel (RGB, NIR) images. In this paper, we confirm the performance dependence of the deep learning network according to the heterogeneous learning dataset with different resolutions. The DeepLabV3+ network was improved so that channel features of cloud detection were extracted and learned with two published heterogeneous datasets and mixed data respectively. As a result of the experiment, clouds' Jaccard index was low in a network that learned with different kind of images from test images. However, clouds' Jaccard index was high in a network learned with mixed data that added some of the same kind of test data. Clouds are not structured in a shape, so reflecting channel features in learning is more effective in cloud detection than spatial features. It is necessary to learn channel features of each satellite sensors for cloud detection. Therefore, cloud detection of heterogeneous sensors with different resolutions is very dependent on the learning dataset.

• Journal of the Korean Society for Library and Information Science
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• v.55 no.2
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• pp.227-261
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• 2021

This study aims to analyze the current status of school library assessment and generate discussion points for the development directions of the assessment. Surveys, consulting, and evaluations related to school libraries conducted by the Office of Education, the Ministry of Education, the Ministry of Culture, Sports and Tourism were analyzed using meta-evaluations and in-depth interviews with the school librarians. The analysis revealed problems such as duplication of evaluation by various institutions, no reflection of the national school library development plan, low participation rate due to voluntary nature of the assessment, and lack of the educational evaluation index. The solution to the problem was a school libraries' operation evaluation improvement plan. The plan included the legal evaluation agent specification, the national school library development plan incorporation, inter-agency evaluation network & the case sharing system establishment, and the Office of Education's investigation and consulting cooperation.

• Korean journal of applied entomology
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• v.51 no.1
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• pp.23-31
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• 2012

Understanding the ecological complexity and habitat of a species are crucially important to conserve an endangered species. This study evaluated the patch network ecology of the endangered species $Parnassius$ $bremeri$. The results indicated that 188 individuals were captured and 220 were recaptured, respectively. The sex ratio of female: male was 42:146; males were four times more abundant than females. The average longevity of an adult was $3.93{\pm}3.93$ days (male, $4.0{\pm}3.9$; female, $2.5{\pm}1.0$ days); the maximum longevity was 14 days for males and 13 days for females, respectively. Therefore, the expected longevity of males was longer than that of females. The average emigration distance for the species was 377 m, and the maximum emigration distance was 1550 m. The analysis of patch connectivity and individual colonization revealed that the ideal distance between patches was about 300 m. Moreover, a >600 m patch distance decreased the colonization rate severely. We also observed higher immigration and emigration between patches that were clustered in close proximity. This leads us to conclude that a higher number of patches at a close distance is best suited for $P.bremeri$. We find these results to be crucial to determine a policy to protect and conserve this endangered species.