• Journal of the Korean Society for Library and Information Science
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• v.38 no.3
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• pp.249-275
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• 2004

The purpose of this study is to assist librarians in developing a bibliographic tool for bibliotherapy practices. Bibliotherapy is a form of psychotherapy in which carefully selected leading materials are used to assist a subject in solving personal problems or for other therapeutic purposes. However, bibliotherapy has rarely been either studied or practiced in Korea For a bibliographic tool which is called 'situational leading list', a client situation has to be classified by the factors of biological. place and personal relations. type of stress or symptoms. This study, in this regard, examined related recent researches In the field of psychology or psychoanalysis. Main conclusions made in this study are summarized as follows : The most important factors to classify a client situation in a bibliographic tool are age, sometimes sex, home background, personal relations and mental health issues. This study also suggest the scheme of situation classification according to the decimal classification system. There are the general class, child class, teenager class, adult class and senior class in the classification system.

• Journal of Digital Contents Society
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• v.14 no.1
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• pp.97-109
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• 2013

Recently the value and importance of contents industry is rapidly increasing. In particular, consumption on contents convergence integrating contents and new technologies is being increased as smart devices become popular. Next generation contents convergence industry is being recognized as a new engine for national economic development. However there is no concrete framework defining next generation contents convergence industry. This fact brings about serious problems in defining the scope of the industry. To develop effectively new industry, there is a strong need to define types of contents convergence based on dominant factors leading content convergence trend while shedding light on contents, technologies and industry. To define classification of next generation contents convergence indudstry, this study analyzes attributes of contents convergence and carries out conjoint analysis. Based on the attributes found from conjoint analysis, the study suggests new classification scheme of contents convergence industry.

• Journal of Korea Society of Industrial Information Systems
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• v.4 no.2
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• pp.57-61
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• 1999

In the field of image compression, Classified Vector Quantization(CVQ) reveals attractive characteristics for preserving perceptual features, such as edges. However, the classification scheme is not generalized to effectively reconstruct different kinds of edge patterns in the original CVQ that predefines several linear-type edge classes: vortical edge horizontal edge diagonal edge classes. In this paper, we propose a new classification scheme, especially for edge blocks based on the similarity measure for edge patterns. An edge block is transformed to a feature vector that describes the detailed shape of the edge pattern The classes for edges are formulated automatically from the training images to result in the generalization of various shapes of edge patterns. The experimental results show the generated linear/nonlinear types of edge classes. The integrity of all the edges is faithfully preserved in the reconstructed image based on the various type of edge codebooks generated at 0.6875bpp.

• Journal of Broadcast Engineering
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• v.18 no.3
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• pp.401-408
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• 2013

In this paper, we propose a method that automatically detects organs having similar appearances in medical images by learning both context and appearance features. Since only the appearance feature is used to learn the classifier in most existing detection methods, detection errors occur when the medical images include multiple organs having similar appearances. In the proposed method, based on the probabilities acquired by the appearance-based classifier, new classifier containing the context feature is created by iteratively learning the characteristics of probability distribution around the interest voxel. Furthermore, both the efficiency and the accuracy are improved through 'region based voting scheme' in test stage. To evaluate the performance of the proposed method, we detect femur and tibia which have similar appearance from SKI10 knee joint dataset. The proposed method outperformed the detection method only using appearance feature in aspect of overall detection performance.

• Journal of Korean Society of Archives and Records Management
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• v.14 no.4
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• pp.127-151
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• 2014

To search based on the functional classification or provenance is not easy for users, and the key word-based information retrieval presents only simple words matching with the title of the records. The Presidential Archive of Korea developed a subject classification scheme to improve the convenience of searching for various records and came up with a subject thesaurus based on the scheme that utilizes the terms appearing on the title of the records and the terms used by the users who searched the portal or requested information disclosure. This research presents the development process of subject thesaurus. It also presents the utilization methods for records management work and services.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.3
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• pp.135-154
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• 2015

This study was conducted to create a digital archive for local cultural contents compiled from the records of westerners who visited Korea during the Enlightenment Period of Chosun. The compiled information were gathered from 11 records, and 10 main subjects and 120 sub-subjects were derived through the subject classification scheme. Item analysis was conducted through 37 metadata, and input data types were classified and databased in Excel. Finally, a model of the digital archive system was simulated, and a webpage consisting of five menus was presented. Suggestions for future research were extensive aggregation of new data for archive expansion, active connections between archive systems, standardization of systems, and improved system design for compatibility and user-friendliness.

• Journal of the Korean Society for information Management
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• v.38 no.2
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• pp.227-250
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• 2021

This study analyzed humanities and social science (HSS) journals of KCI to examine the multidisciplinarity and interdisciplinarity in the general and miscellaneous fields (hereinafter referred to as 'GM fields'), The multidisciplinarity and interdisciplinarity identified in this study will be a foundation to improve classification of KCI journals in GM fields. Each journal's multidisciplinarity and interdisciplinarity were measured by journal-level entropy and document-level entropy, respectively, in the citation relationships. According to the analysis, GM field journals have wide ranges of multidisciplinarity and interdisciplinarity. To improve classification quality of journals in GM fields, the general humanities should be considered as a new classification class for the multidisciplinary and interdisciplinary journals in the humanities. Furthermore, this study proposes a strategy to reclassify GM field journals of HSS according to their multidisciplinarity and interdisciplinarity.

• The Korean Journal of Archival Studies
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• no.18
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• pp.179-220
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• 2008

Under the physical records management system, both the records and users could be controlled and secured by closing the door of Archives or using permitted records which is used only approved users. According to the electronic records management system and the concept of service on the basis of users, we have to give up the classical manner. As an alternative, we have to consider the electronic access control system. To accomplish this purpose, functional requirements of ERMS that is issued by UK, EU, U.S and Australia must be compared and analyzed. On the basis of U.K ERMS which is more detailed, 'common access control functional requirements' are arranged. As the access control functional requirements is applied in the records classification scheme, we could find out how the access control is executed in ERMS.

• The KIPS Transactions:PartB
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• v.16B no.6
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• pp.479-488
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• 2009

This paper shows a reinforced construction scheme of training data for improvement of text classification by automatic search of boundary category. The documents laid on boundary area are usually misclassified as they are including multiple topics and features. which is the main factor that we focus on. In this paper, we propose an automated exploring methodology of optimal boundary category based on previous research. We consider the boundary area among target categories to new category to be required training, which are then added to the target category sementically. In experiments, we applied our method to complex documents by intentionally making errors in training process. The experimental results show that our system has high accuracy and reliability in noisy environment.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.12
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• pp.477-484
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• 2018

Due to the advancement of computer and information technologies, numerous papers have been published. As new research fields continue to be created, users have a lot of trouble finding and categorizing their interesting papers. In order to alleviate users' this difficulty, this paper presents a method of grouping similar papers and clustering them. The presented method extracts primary keywords from the abstracts of each paper by using TF-IDF. Based on TF-IDF values extracted using K-means clustering algorithm, our method clusters papers to the ones that have similar contents. To demonstrate the practicality of the proposed method, we use paper data in FGCS journal as actual data. Based on these data, we derive the number of clusters using Elbow scheme and show clustering performance using Silhouette scheme.