• The Korean Journal of Archival Studies
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• no.29
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• pp.79-127
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• 2011

This study was designed for a theoretical and methodological discussion on a methodological medium, orality to historicize the 'Civilian Massacre', of countless counter-memories which are inherent in Korean society. In other words, prior to collection of oral sources, it is to produce reliable oral history through a discussion on oral history research methodology and qualitative research methodology of oral history, after theorizing occurrence process of dominant-memory and counter-memory, orality's meanings as a counter-memory and the necessity for historicization of neglected memories, focusing on a 'memory' which is a fundamental background of an 'oral' act. Based on this basic process, oral recording process was performed in Changsoo-myeon, Yeongdeok-gun, Kyung-book Province where was selected as a research target for the civilian massacre that is a case to figure out what kind of high-quality record is produced, with a precise understanding of a particular methodology, oral history.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.23 no.2
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• pp.45-68
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• 2012

Archives have directly and indirectly served for memory. What is collected in archives, how it is presented to users, and how users understand and use the documents affects how a given society remembers its past. Some archival scholars see that how users interpret documents from their perspectives and by social interests may play a central role in constructing social memory because memories are often triggered by individual and social concerns of the present time. Therefore, knowing what causes users to seek for a certain materials, how they use those materials and why can offer a clue to learn how archives serve for social memory. In the Web space, the interaction between users and archives/archival materials can be easily observed. Beyond making access simple for users and promoting archival documents using Web technology, archives can serve the broader purpose of memory by skillfully exploiting the characteristics of Web 2.0 and digital cultures in a way to observe how users engage in and contribute to archival contents available on the Web. This study examines the discourses on memory in the archival context, and in particular, how archives can serve as platforms for memory within the new environment of Web 2.0 technologies. It surveys discussions on memory in relation to archives, history, and evidence, focusing on the user and use context as it is represented in the archival literature. This paper discusses how that technology provides features that allow us to see collective memory being constructed in the archives, and presents examples of how the Web 2.0 technology can structure the way users share their memories in building a larger narrative around the archive.

• The Korean Journal of Archival Studies
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• no.42
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• pp.3-35
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• 2014

Archival science is prior to explore meaning and role of record management in given environments rather than developing record management methodology. Electronic record environments don't merely mean to exchange record management medium from paper to digital. The most important point exploring in electronic record environments is not management skills or methods, but meaning of records and role of record management in contemporary society. All these days, however, the theories and methodologies has been developed focusing on written records and public records mainly in the deep-rooted influence of positivism. In such situations, the discussions of social memories can explore meanings and roles of record management in pluralistic society. Meanwhile, many articles in archival science has been widespread recognition that records will soon be just memories in terms of objective and neutral evidence. In recently, however, conviction on objectivity and neutrality of records has broken down by the influence of postmodernism on archival science. Therefore this article intends to explore the relationship between record and memory and to argue the roles of archival science for building social memories.

• 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.

• Korean Journal of Cognitive Science
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• v.35 no.1
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• pp.1-21
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• 2024

This study investigates the characteristics of visual working memory (VWM) representations by examining two theoretical models: the integrated-object and the parallel-independent feature storage models. Experiment I involved a change detection task where participants memorized arrays of either orientation bars, colored squares, or both. In the one-feature condition, the memory array consisted of one feature (either orientations or colors), whereas the two-feature condition included both. We found no differences in change detection performance between the conditions, favoring the integrated object model over the parallel-independent feature storage model. Experiment II employed a recall task with memory arrays of isosceles triangles' orientations, colored squares, or both, and one-feature and two-feature conditions were compared for their recall performance. We found again no clear difference in recall accuracy between the conditions, but the results of analyses for memory precision and guessing responses indicated the weak object model over the strong object model. For ongoing debates surrounding VWM's representational characteristics, these findings highlight the dominance of the integrated object model over the parallel independent feature storage model.

• Journal of the Korean Institute of Telematics and Electronics
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• v.6 no.3
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• pp.1-7
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• 1969

The Series RC load is connected with the word line in an attempt to select with high speed the information from the coincident current magnetie memory core. By taking the small time constant of the RC load, the cycle time of the output pulse is shortened by about 2 microseconds to 3 micro seconds. For this purpose, the analytical study are accomplished and the optimum circuit parameters are determined. Furthermore, the thermal problems occuring from the high speed switching of the magnetic memory core have been clarified.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.2
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• pp.1073-1083
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• 2015

As an empirical study focused on how transactive memory concept influence the four processes of knowledge growth, this study aimed at explaining the function of transactive memory in the dynamic process of knowledge growth. To verify the research model, this study carried out a path analysis of 130 team memebers and as a result, part of the team transactive memory measurements does affect the knowledge growth. Consequentially, transactive memory especially based on team level, is relevant with knowledge growth. According to team level, this study targeted at the team members, and by adopting the team transactive memory concept in Cognitive Psycology, theoretically explained and analysed how to approach personal knowledge in internal organizations. To accelerate the knowledge process, the work should be modified collaboratively by trusting the team members' duty relations more than specialized knowledge. Furthermore, managers had better assign team members the work where they can make the most of their personal knowledge, and this study presented that the whole team performance could be improved by doing that.

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2004.06a
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• pp.15-24
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• 2004

본 논문은 be동사에 관한 학생들의 영어개념 이해에서 발생되는 오인을 진단할 수 잇는 학습오인 진단 시스템을 제시한다. 학습오인 진단 시스템에서 퍼지 인진 맵은 영어에 대한 학생들이 가지는 선입개념들과 오인들을 인과관계로 표현하며, 개념간의 인과관계를 기억할 수 있는 퍼지 연상 메모리를 통하여 오인의 원인들을 진단한다. 본 연구는 기존의 학습 오인을 진단하는 규칙기반 전문가 시스템의 한계성을 극복할 수 있는 새로운 방법을 제공하며, 교육분야의 다양한 영역에서 학습자들의 학습 진단을 위한 학습오인 진단 시스템으로 적용될 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.528-530
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• 2000

최근 객체지향 소프트웨어 개발이 일반화되면서 품질 좋은 객체지향 소프트웨어의 개발을 돕기 위한 목적으로 객체지향 소프트웨어 복잡도 척도에 관한 연구들이 다양하게 행해져 왔다. 대부분의 연구가 구조적 복잡도 측정에 중점을 두어 프로그램 크기와 관련된 요인들을 측정하는 척도들이 제시되었다. 한편 소프트웨어 개발이나 복잡도 측정에 대하여 인지 심리 이론을 적용하여, 인간의 단기 기억의 한계 7$\pm$2와 제어 논리 처리에 3$\pm$1을 고려한 연구들이 많이 행해졌다. 본 논문에서는 프로그램 볼륨과 복잡도의 관계를 조사하기 위해 13개 척도의 값을 추출한 후 통계적 분석을 수행하고, 인지 심리 이론과의 관계를 파악해 보았다.

• Water for future
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• v.29 no.4
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• pp.109-118
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• 1996

The neural network is a mathematical model of theorized brain activity which attempts to exploit the parallel local processing and distributed storage properties. The neural metwork is a good model to be applied for the classification problem, large combinatorial optimization and nonlinear mapping. A multi-layer neural network is constructed to predict rainfall. The network learns continuourvalued input and output data. Application of neural network to 1-hour real data in Seoul metropolitan area and the Soyang River basin shows slightly good predictions. Therefore, when good data is available, the neural network is expected to predict the complicated rainfall successfully.