• Journal of Korean Society of Archives and Records Management
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• v.21 no.4
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• pp.101-115
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• 2021

Access re-review is a valuable and important task, but it is burdensome for archivists. Thus, an access re-review automation was proposed to address this. In this situation, the National Archives of Korea actually utilized the access re-review solution in the performance of the "2020 Access Re-Review Project" and compared and analyzed it with human work. The project was, however, not a research project centered on analysis on access re-review solutions, and it has a limited result in terms of experimental use of commercial programs. Nevertheless, in the current situation where there are only macro and superficial discussions on access re-review of intelligent archives, it would be meaningful to apply the access re-review solution to archivists in real businesses and examine the results. This paper seeks to discuss the practicality that can mitigate the task of access re-review through an analysis of use cases of access re-review solutions.

• The Korean Journal of Archival Studies
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• no.49
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• pp.277-297
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• 2016

Access re-review is a process to reclassify the non-disclosure documents to open accessible documents, and it has to be performed in every five years. However, current procedures of the access re-review in many archives have not been properly working, due to the shortage of the available archivists for providing enough access re-review. Although many difficult situation for the re-review such as enormous amount of re-review documents and lack of archivists, access re-review was included in the administrative evaluation list, of which it makes the re-review for just evaluating process. In this study, the access re-review of Seoul Metropolitan Office of Education, which have performed by external service companies as well as the other institutions' progresses were summarized for improving access re-review process. Although Seoul Metropolitan Office of Education processed 610,000 re-review with 100,000,000 won budget for 4 years, the project has been failed to get more budget support because of the claim for the budget efficiency. The other institutions also could not focus on the actual access re-review. Considering all the points, current access re-review process is clearly required to be improved.

• Journal of the Korean Society for information Management
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• v.29 no.2
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• pp.225-246
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• 2012

This study purported to investigate the possibility of automatic descriptor assignment using the reclassification of author keywords in domestic scholarly databases. In the first stage, we selected optimal classifiers and parameters for the reclassification by comparing the characteristics of machine learning classifiers. In the next stage, learning the author keywords that were assigned to the selected articles on readings, the author keywords were automatically added to another set of relevant articles. We examined whether the author keyword reclassifications had the effect of vocabulary control just as descriptors collocate the documents on the same topic. The results showed the author keyword reclassification had the capability of the automatic descriptor assignment.

• Proceedings of the Korean Information Science Society Conference
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• 2005.07b
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• pp.508-510
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• 2005

Plot Unit는 이야기를 형성하는 줄거리 또는 줄거리에 나오는 여러 사건을 하나로 구성하여 표현한다. 글을 읽고 Plot Unit를 파악한다는 것은 그 글의 내용을 이해하고 있다는 것이다. 본 논문에서는 이러한 Plot Unit의 정서상태 선호도를 결정하는 방법으로 범주 재분류를 생각하였다. Roget 범주들을 양, 음 기준에 따라서 양범주, 음범주, 중성범주로 재분류하였다. 또한, 개연규칙과 Plot Unit의 대응에 이 결과를 적용해 봄으로써, 범주 재분류를 활용하여 Plot Unit의 사건유형을 결정할 수 있음을 확인하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.11a
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• pp.401-404
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• 2002

본 논문에서는 온톨로지의 범주를 재분류하는 방안을 모색하였다. 재분류 방법으로는 범주정보 단순화와 구체화를 고안하였다. 각각은 다시 표제정보와 참조정보를 이용한 방법으로 나누어 생각하였다. 또한 상이한 범주집합들 사이의 관계를 밝히는 방법도 모색하였다. 마지막으로 이러한 방법들을 활용한 예를 동해 그 유용성을 살펴보았다.

• Journal of Intelligence and Information Systems
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• v.10 no.3
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• pp.105-114
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• 2004

In the past year, the increasing concern about the biometric recognition makes the great activities on the security fields, such as the entrance control or user authentication. In particular, although the features of face recognition, such as user friendly and non-contact made it to be used widely, unhappily it has some disadvantages of low accuracy or low Re-attempts Rates. For this reason, I suggest the new approach to re-classify the classified data of recognition result data to solve the problems. For this study, I will use the typical appearance-based, PCA(Principal Component Analysis) algorithm and verify the performance improvement by adopting the re-classification approach using 200 peoples (10 pictures per one person).

• Management & Information Systems Review
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• v.38 no.2
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• pp.67-81
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• 2019

In accordance with K-IFRS 1109, financial instruments are classified to amortized cost (AC), fair value through other comprehensive income (FVOCI) and fair value through profit or loss (FVPL). And disposal gains are prohibited to be recirculated for net income when FVOCI financial instruments would be sold in the future, so-called recirculation prohibition. This research investigates whether accumulated other comprehensive income of available-for sale financial assets(AFS) under K-IFRS 1039, could affect reclassified amounts to the FVPL securities from the AFS securities. Also, this study investigates the effects of the reported income on the reclassified FVPL, because CEOs are likely to try earnings management when net income is predicted to be less than target or is low, comparing other firms. As a result of empirical analysis, first, I find that accumulated other comprehensive income of the AFS has a positive impact on the reclassified FVPL. Second, level of reporting income has no significant impact on the reclassified FVPL. Third, interaction effects are significantly positive on the firms which have more other comprehensive income and less level of reported income. Fourth, the effects of the bank and securities are more distinct than those of the manufactures. This study is the first research to investigate earnings management through AFS at the timing of the first adoption of K-IFRS 1109. Empirical results of this study provide evidence of earnings management on the reclassification of FVPL which gives meaningful implications to regulators, academic researchers and auditors.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.46 no.6
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• pp.35-43
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• 2009

In the Computer Aided Diagnosis(CAD) System, the efficient way of classifying nodules from chest CT images of a patient is to perform the classification of the remaining part after the pulmonary vessel extraction. During the pulmonary vessel extraction, due to the small difference between the vessel and nodule features in imaging studies such as CT scans after having an injection of contrast, nodule maybe extracted along with the pulmonary vessel. Therefore, the pulmonary vessel extraction method plays an important role in the nodule classification process. In this paper, we propose a nodule reclassification method based on vessel thickness analysis. The proposed method consist of four steps, lung region searching step, vessel extraction and thinning step, vessel topology formation and correction step and the reclassification of nodule in the vessel candidate step. The radiologists helped us to compare the accuracy of the CAD system using the proposed method and the accuracy of general one. Experimental results show that the proposed method can extract pulmonary vessels and reclassify false-positive nodules accurately.

• KLA journal
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• v.20 no.9
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• pp.19-27
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• 1979

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.345-353
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• 2011

This paper is an investigative research to improve customer satisfaction survey for resolving practical problems. It is natural phenomenon that, as the level of customer satisfaction index increases, the ratio of satisfied customers increases too. However, the effectiveness of practical application of customer satisfaction survey for improvement of customer satisfaction decreases due to its structural limitation on its data analysis system. In order to cope with these problems, it is necessary to develop the new method to identify the strategy meanings and find the dissatisfied factors of satisfied customers using the satisfied customers reclassification. This study proposes the satisfied customer reclassification method based on attribute complex scores. The excremental results show that the it was expected to present more improved results than the number-producing oriented one dimensional model. This study is expected to play the role as the groundwork for the revitalization of customer satisfaction survey as well as improving customer satisfaction management.