• Korean journal of communication and information
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• v.71
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• pp.9-32
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• 2015

The media, traditionally, serves to reinforce one's limited memory and transform those personal memories of society's members into collective memories. Notably, the mass media collects countless pieces of personalized memories for the creation of collective memories. Through the process of recollecting as well as recreating the past in the present, mass media exerts influence on the means the public appreciates and understands the history. Although numerous new medias like Internet overflows in today's society, television continues to stand firm as the salient means to construct the memories in daily lives. In this context, the research aims to analyze the televised news as the principal agent of memory producer to determine through which memories it recreates the $5{\cdot}18$ in today's media. The analysis of news values clarifies that every government placed distinctive news values on $5{\cdot}18$ within its historical context. Even so, such values were often fixed based on its relations to the existing political issues. Furthermore, through the discourse analysis, this research concludes that today's coverage of $5{\cdot}18$ is softening and becoming conventional.

• The Korean Journal of Financial Management
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• v.12 no.1
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• pp.1-17
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• 1995

경제에 미친 충격이 경제에 일시적 영향을 미치고 사라지며 그 영향력이 곧 소멸하고 마는 경우와 영구히 존속하는 경우가 있을 수 있다. 경제에 불현듯 다가와 영향력을 행사한 충격이 일시적으로 존재하고 사라지느냐 아니면 영원히 또는 장기적으로 존재하느냐 하는 것은 경제 현상을 시계열적으로 파악하고 이해하는 데 중요한 요소이다. 충격이 경제 내에 장기기억으로 존재한다면 경제 현상은 경제가 시작되는 순간부터 현재까지의 충격들의 결합적 집합이라 할 수 있을 것이다. 이 논문에서는 적분확률과정의 모수 d가 정수를 갖지 않고 비정수를 갖을 때의 ARIMA(p, d, g)process, 즉 ARFIMA(p, d, q)process의 비정수차분 모수 d를 추정 하고자 한다. 그리고 이 비정수차 분모수의 추정과 검정을 통하여 우리나라의 주가가 충격을 받았을 때 이 충격을 금시 해소시키고 버리는지, 또는 장기적으로 기억하여 항상 주가에 반영시키고 있는지의 여부를 검증하였다. 이 논문에서는 periodogram 방법과 lag window 방법을 다같이 사용하여 차분모수 d를 추정하고 표준오차를 계산하여 d의 추정치에 대한 기각여부를 검정한 우리나라의 주식시장은 충격에 대한 장기기억을 보유하고 있다는 것을 발견하였다. 이와 같은 발견은 충격적이다.

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.05a
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• pp.48.1-48.1
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• 2009

Ti합금은 생체적합성이 우수하여 생체재료로 널리 사용되어 왔으며, 특히 Nitinol로 알려진 Ti-Ni합금은 형상기억특성 및 초탄성특성을 지녀 치열교정용 와이어나 혈관확장용 스텐트 등으로 사용되어 왔다. 최근 Ni과 같은 세포독성 합금원소의 용출가능성이 문제가 되어 Ni을 함유하지 않는 Ti합금이 주목받고 있다. 본 연구에서는 Ti-Nb-Ge 합금의 집합조직과 초탄성 및 기계적 특성의 관계를 고찰함으로써, 사용목적이나 요구특성에 부합되는 가공열처리방법을 도출하고자 하였다. 비소모전극식 진공아크용해장치를 이용하여 Ti-Nb-Ge 합금 버튼을 만들고, 이를 $1000^{\circ}C$에서 30분간 유지 후 얼음물에 급랭처리하였다. 이후 집합조직 제어를 위해 등속압연 및 이속압연의 두가지 방법으로 냉간압연한 후, $850^{\circ}C$에서 30분~2시간까지 열처리하였다. 광학현미경과 투과전자현미경을 이용하여 미세조직을 관찰하고, X-선 회절분석법을 이용하여 집합조직을 분석하였다. 또한 순환식 인장시험을 통해 시편의 초탄성 특성 및 기계적 성질을 평가하였다. 등속압연재는 {001}<110>에서 {111}<110>에 이르는 $\alpha$-fiber가 발달하는 한편, 이속압연재는 {001} 및 {111}가 발달하는 것으로 나타났다. 또한 압연방향으로 <110>이 평행한 집합조직이 발달할수록 초탄성 특성이 높게 나타났다. 이는 응력유기 마르텐사이트 변태 시 $\beta$의 <110>방향이 $\alpha$" <010>방향으로 변할 때 길이가 증가하므로, 시편에 인장방향으로 <110>이 평행한 집합조직이 발달할수록 응력유기 마르텐사이트 변태가 용이해지기 때문인 것으로 사료된다.

• Korean Institute of Interior Design Journal
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• v.15 no.6 s.59
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• pp.43-51
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• 2006

The purpose of this study is to present possibility about applying space design of urban theory focused on collective memory. Urban which is the final data of human's collective life has been recognized creative circumstances human collective is living. It can not think without collective from its motivation to problem of form as well as building as element which compose these cities. It is to recognize essential attribute of construction in the collective that think architecture with urban, and It means that recognize actuality of architecture that can talk as the most collective product that represent human. There was discussion for collective and urban. But, this problem was proceeded to clear human knowledge of architecture mainly in other discipline, and even if speak as field of architecture, it could just pass confined meaning by refering at process that clear several main aspects of architecture as doing not pass over more than it. Problem of form that is ultimate aspect of architecture remained by different thing still doing not combine with collective architecture, and occasionally happened the case that make collective of architecture and relation of form overly incommodiously reducing form by a tool for diagram, shape, figuration in the aspect of collective. This research study concept for memory collective in the urban and collective of architecture, and choose urban planning methodology and their work by specific example between Aldo Rosi and Rem Koolhaas dealing with architecture and urban, and present possibility about space design of urban.

• Journal of KIISE:Software and Applications
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• v.31 no.8
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• pp.1054-1061
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• 2004

At recent, people can easily access to information by Internet to be rapidly evolving. And also, the amount is rapidly increasing. So the techniques, to automatically extract the required information are very important to reduce the time and the effort for retrieving information. In this paper, we describe a collaborative filtering system for automatically recommending high-quality information to users with similar interests on arbitrarily narrow information domains. It asks a user to rate a gauge set of items. It then evaluates the user's rates and suggests a recommendation set of items. We interpret the process of evaluation as an inference mechanism that maps a gauge set to a recommendation set. We accomplish the mapping with FAM (Fuzzy Associative Memory). We implemented the suggested system in a Web server and tested its performance in the domain of retrieval of technical papers, especially in the field of information technologies. The experimental results show that it may provide reliable recommendations.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.477-480
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• 2005

메모리 기반 추론 기법에서 기억공간의 효율적 사용과 분류 시간을 줄이기 위한 다양한 방법들이 연구되고 있으며, NGE(Nested Generalized Exemplar) 이론을 예로 들 수 있다. 본 논문에서는 학습 패턴 집합으로부터 대표패턴을 생성하는 RPA(Recursive Partition Averaging) 기법과 점진적으로 대표패턴을 추출하는 IRPA(Incremental RPA) 기법을 제안한다.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2011.06a
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• pp.144-146
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• 2011

VTS 항해의 특징은 동적복잡계의 특성을 보인다는 점이다. 자율적인 행위자들인 여러 선박이 서로 영향을 끼치며 상호작용하기 때문에 불확실성이 지배하게 된다. 이러한 불확실성으로 인한 위험을 극복하기 위한 방안으로 본 연구에서는 협력항해(co-navigation)이라는 개념을 중심으로 논의를 전개하였다. 본질적으로 협력항해는 수많은 상황판단과 의사결정들의 집합체이기 때문에 우선 개별 선박들의 상황판단이 어떻게 이루어지는가를 연구하는 것으로부터 출발하여야 한다. 따라서 본고에서는 항해에서 있어서의 상황자각이 어떻게 기능하는지 알아보고, 개인적인 상황판단에서 VTS 전체 차원의 최종 의사결정이 이루어지는 전 과정을 6단계로 세분하여 논의를 전개하였다. 이렇게 세분한 각 단계에서 양질의 인지과업이 이루어지도록 돕고, 이때 저지르게 되는 실수를 수정할 수 있도록 여유시간을 확보할 수 있도록 함으로써 궁극적으로 항해위험을 줄일 수 있다는 것을 이번 연구에서 밝히고자 하였다.

• (The) Research of the performance art and culture
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• no.43
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• pp.229-261
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• 2021

On the musical stage in 2019, there were many works depicting the Japanese colonial period. This is due to 2019 the timeliness of the March 1st Movement and the centennial of the establishment of the Provisional Government of the Republic of Korea. The way of remembering and commemorating historical facts reflects the power relationship between memory subjects and the time, namely the politics of memory. Until now, stage dramas dealing with the era of Japanese rule have focused on the commemoration of modern national and national defense, including feelings of misfortune and respect for patriots. This study analyzed the metaphor of the memorials emphasized to the audience in the commemorative musicals Shingheung Military School, Ku: Songs of the Goblin, and Watch which were performed in 2019, and looked at how to adjust memories and memorials. The above works highlight the narratives of ordinary people as well as those recorded against the backdrop of the Manchurian Independence Movement and Hongkou Park, expanding the object of the commemoration. Through this, active armed resistance efforts, self-reflection and reflection were highlighted. The case of Shingheung Military School revealed the earnestness of ordinary people who led the independence movement through the movement of central figures. Ku: Songs of the Goblin revises memories by reproducing forgotten objects and apologizing through time slip. Watch has strengthened the spectacles of facilities through documentary techniques such as photography, news reels, and newspaper articles, but it also reveals limitations limited to records. In the 3.1 Movement and the 100th anniversary of the establishment of the Provisional Government of the Republic of Korea, devices that actively reveal that the "people's movement" is connected to the present. To this end, the official records reflected the newly produced values and memories and devoted themselves to the daily lives and emotions of the crowd. In addition, both empirical consideration and calligraphy were utilized to increase reliability. These attempts are meaningful in that they have achieved the achievement of forming contemporary empathy.

• The KIPS Transactions:PartB
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• v.10B no.6
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• pp.611-618
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• 2003

In this paper, we describe a fuzzy inference approach for detecting and classifying shot transitions in video sequences. Our approach basically extends FAM (Fuzzy Associative Memory) to detect and classify shot transitions, including cuts, fades and dissolves. We consider a set of feature values that characterize differences between two consecutive frames as input fuzzy sets, and the types of shot transitions as output fuzzy sets. The inference system proposed in this paper is mainly composed of a learning phase and an inferring phase. In the learning phase, the system initializes its basic structure by determining fuzzy membership functions and constructs fuzzy rules. In the inferring phase, the system conducts actual inference using the constructed fuzzy rules. In order to verify the performance of the proposed shot transition detection method experiments have been carried out with a video database that includes news, movies, advertisements, documentaries and music videos.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.49 no.2
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• pp.53-60
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• 2012

Nearest-neighbor classification predicts the class of an input data with the most frequent class among the near training data of the input data. Even though nearest-neighbor classification doesn't have a training stage, all of the training data are necessary in a predictive stage and the generalization performance depends on the quality of training data. Therefore, as the training data size increase, a nearest-neighbor classification requires the large amount of memory and the large computation time in prediction. In this paper, we propose a prototype selection algorithm that predicts the class of test data with the new set of prototypes which are near-boundary training data. Based on Tomek links and distance metric, the proposed algorithm selects boundary data and decides whether the selected data is added to the set of prototypes by considering classes and distance relationships. In the experiments, the number of prototypes is much smaller than the size of original training data and we takes advantages of storage reduction and fast prediction in a nearest-neighbor classification.