• Korean Journal of Cognitive Science
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• v.34 no.1
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• pp.21-38
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• 2023

The present study was designed to investigate the effect of the difficulty level of retrieval practice and the association strength of categories and stimuli within categories on memory inhibition. Most of the studies have investigated whether inhibition was occurred by manipulating the degree of association strength, emotion value or physical characteristics of non-retrieval practice words within the retrieval practice category. Therefore, it was necessary to study how inhibition occurs according to the degree of difficulty of retrieval stimuli during retrieval practice. The difficulty of retrieval was manipulated into three levels: difficult condition, normal condition, and easy condition through the degree of presentation of consonants and vowels of words during retrieval learning. Additionally, the strength of association between categories and words within categories was manipulated. In previous studies, retrieval-induced forgetting occurred under conditions where the association strength between categories and words within the categories was strong. On the other hand, retrieval-induced forgetting did not occur under conditions where the association strength between categories and words within the categories was weak. The present study, if the inhibition process differs according to the difficulty of retrieval, the possibility of different results from previous studies was explored according to the difference in the strength of association with the category. As a result of the study, in the condition of strong association strength, retrieval-induced forgetting was observed under normal and difficult retrieval difficulty conditions. Whereas retrieval-induced forgetting was not observed under conditions of easy retrieval difficulty condition. In the condition of weak association strength, retrieval-induced forgetting tended to occur under difficult retrieval difficulty conditions. Whereas retrieval-induced forgetting was not observed under conditions of normal and easy retrieval difficulty condition. These results suggest that memory inhibition may appear differently depending on the difficulty of retrieval.

• The Journal of the Korea Contents Association
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• v.7 no.1
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• pp.1-9
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• 2007

Semantic photo retrieval has been an important role in reducing the semantic gap between the simple visual features and the abundant semantics delivered by a photo. Effective photo retrieval using semantics is one of the major challenges in photo retrieval. And we propose a new event semantic photo retrieval method by using photo annotation user interface. In this paper, A photo album management system that facilitates photo management and semantic retrieval, which fully relies on the MPEG-7 standard as an information base and a native XML database, has been designed and implemented.

• International Journal of Contents
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• v.8 no.2
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• pp.1-6
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• 2012

Recently, content-based music information retrieval (MIR) systems for mobile devices have attracted great interest. However, music retrieval systems are greatly affected by background noise when music is recorded in noisy environments. Therefore, we evaluated various pre-processing methods using the Philips method to determine the one that performs most robust music retrieval in such environments. We found that dynamic noise reduction (DNR) is the best pre-processing method for a music retrieval system in noisy environments.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.128-131
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• 2003

This paper enhanced similar components retrieval algorithm-spreading activation method. The solution is that retrieval speed is overcome and more efficiently components are retrieved. Also we implemented interface for component information and query, and constructed component retrieval system.

• The Journal of the Korea Contents Association
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• v.5 no.3
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• pp.159-166
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• 2005

The application that the user's contexts are continuously changed over time requires an efficient information retrieval. This paper proposes a new context-differentiated information retrieval method for an efficient ubiquitous service. This enables the rapid retrieval, because of no access to the most detail information at a time. This paper describes the retrieval method, the algorithms and the experimental results.

• Proceedings of the Korea Contents Association Conference
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• 2003.05a
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• pp.368-371
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• 2003

This paper constructed component retrieval system for reusability of component. Constructed by thesaurus that use inheritance relation of class for component retrieval, and did so that component retrieval that use Queries may be available. Also, the retrieval result did to become faster retrieval about queries as that show by priority. Retrieved components made efficient component reusability to be possible as that support source code, component information, class diagram etc.

• Proceedings of the Korea Contents Association Conference
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• 2005.11a
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• pp.639-643
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• 2005

In this paper, we designed a repository structure for components retrieval. The repository is consisted of data, process, and view for syntax analyzer, retrieval method, viewer, and reuse. We used enhanced spreading activation algorithm for components retrieval and showed the retrieval results. The retrieval result shows the components in order of high priority. Thus components reusability is improved.

• The Journal of Korean Association of Computer Education
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• v.8 no.1
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• pp.81-91
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• 2005

In this paper we present a novel approach for image retrieval using color and edge information. We take into account the HSI(Hue, Saturation and Intensity) color space instead of RGB space, which emphasizes more on visual perception. In our system colors in an image are clustered into a small number of representative colors. The color feature descriptor consists of the representative colors and their percentages in the image. An improved cumulative color histogram distance measure is defined for this descriptor. And also, we have developed an efficient edge detection technique as an optional feature to our retrieval system in order to surmount the weakness of color feature. During the query processing, both the features (color, edge information) could be integrated for image retrieval as well as a standalone entity, by specifying it in a certain proportion. The content-based retrieval system is tested to be effective in terms of retrieval and scalability through experimental results and precision-recall analysis.

• The Journal of Korean Association of Computer Education
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• v.6 no.3
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• pp.143-150
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• 2003

The popularization of the Internet brought about easy access to a huge amount of information, yet it is hardly easy for one to find information in need. Therefore, information users must have information retrieval abilities to gather, analyze and utilize data in efficient ways. In general the information retrieval strategies of each user are all different, and consequently the retrieved result also significantly varies from one to another. This paper describes an experimental study on information retrieval behaviors in elementary students, and analyzes the variation in retrieval strategies and results by examining cognitive patterns based on their personal characteristics, specifically their cognitive patterns. As a research result we propose a set of education requirements which can improve students' information retrieval abilities and the efficiency of the information retrieval system.

• The Journal of Korean Association of Computer Education
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• v.6 no.4
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• pp.23-30
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• 2003

This paper proposes a passage retrieval system based on Okapi's BM25 for developing an efficient QA system and evaluates performances of the passage retrieval system. The test collection of TREC Q&A track which is composed of about one million documents was indexed and a hundred queries of TREC Q&A track are used as testing queries. The experimental results shows that the proposed passage retrieval system can reach to 100% recall rate by searching in only 1700 sentences while the conventional document retrieval system have to search about 120 thousands sentences which are about 70 times more than the proposed passage retrieval system.