• 기록학연구
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• 제2호
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• pp.103-128
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• 2000

The classification of records is basically different from that of librarian materials because records have a nature of spontaneous and correlated product made during the process of work, as well as a value of proof and information. Hence the main task of archival management institute is to classify those records through the process of transfer and receipt for the purpose of reservation and utilization of their value. Therefore, the records should be classified by the manner, which reflects the function and organization of producing institute, and in turn, the principles of producing site and original record order should be maintained for this purpose. The characteristics of librarian materials and records and the tasks of management institutes form the basis of very different principles. The records can present the characteristics of producing institute and maintain the value made by the correlated nature as they are classified, managed and preserved by the above principles, In addition, it is known how and why they were produced and utilized, as well as they can be preserved in original form and effectively arranged, recorded and managed.

• 정보보호학회논문지
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• 제29권1호
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• pp.139-147
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• 2019

본 연구에서는 손상된 전자기록물을 구분할 수 있는 방법과 손상 형태별 전자 기록물 복원 방법을 제안한다. 제안되는 구분 엔진과 복원 엔진은 전자기록물의 형태 및 구조를 기반으로 손상 전자 기록물을 분류하고, 손상된 형태에 따라 복원 확률을 높인다. 이러한 과정을 통해 멸실되는 전자기록물을 최소화하는 방법을 제안하고, 이를 실험을 통해 검증한다.

• Industrial Engineering and Management Systems
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• 제13권4호
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• pp.421-431
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• 2014

The market basket data in the form of a binary user-item matrix or a binary item-user matrix can be modelled as a binary classification problem. The binary logistic regression approach tackles the binary classification problem, where principal components are predictor variables. If users or items are sparse in the training data, the binary classification problem can be considered as a cold-start problem. The binary logistic regression approach may not function appropriately if the principal components are inefficient for the cold-start problem. Assuming that the market basket data can also be considered as a special regression problem whose response is either 0 or 1, we propose three supervised learning approaches: random forest regression, random forest classification, and elastic net to tackle the cold-start problem, comparing the performance in a variety of experimental settings. The experimental results show that the proposed supervised learning approaches outperform the conventional approaches.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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• pp.170-174
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• 1997

This paper studies a method for making more efficient classification rules in the ID3 using the rough set theory. Decision tree technique of the ID3 always uses all the attributes in a table of examples for making a new decision tree, but rough set technique can in advance eleminate dispensable attributes. And the former generates only one type of classification rules, but the latter generates all the possibles types of them. The rules generated by the rough set technique are the simplist from as proved by the rough set theory. Therefore, ID3, applying the rough set technique, can reduct the size of the table of examples, generate the simplist form of the classification rules, and also implement an effectie classification system.

• 전기학회논문지
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• 제64권9호
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• pp.1363-1368
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• 2015

Recently, computer form were smaller than before because of computing technique's development and many wearable device are formed. So, computer's cognition of human emotion has importantly considered, thus researches on analyzing the state of emotion are increasing. Human voice includes many information of human emotion. This paper proposes a discriminative feature vector selection for emotion classification based on speech. For this, we extract some feature vectors like Pitch, MFCC, LPC, LPCC from voice signals are divided into four emotion parts on happy, normal, sad, angry and compare a separability of the extracted feature vectors using Bhattacharyya distance. So more effective feature vectors are recommended for emotion classification.

• 산업기술연구
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• 제18권
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• pp.295-302
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• 1998

Classification of fingerprints is one of the major subjects on which many researchers have been studying for efficient identification. But fingerprints should be preprocessed in various ways prior to being classified. Factors such as the accuracy and the processing time should be considered in classification of fingerprints. In this paper, we propose a method for classifying fingerprints into several frequent patterns. This method consists of two stages. A fingerprint image is first converted to a skeleton form to find out the center. Then it is identified as a member of one of preclassified pattern by the frequency domain feature. Experiments show that the proposed method is quite useful in classifying fingerprints into typical patterns.

• 디자인학연구
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• 제16권1호
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• pp.5-14
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• 2003

디지털 기술의 발달로 한글글꼴을 다루는 사용자가 증가하고 글꼴 선택의 기준 또한 다양해지면서 전통적인 형태를 벗어난 다양한 한글 글꼴들이 많이 개발되어 사용되고 있다. 그러나 현행 글꼴분류체계는 이러한 글꼴들을 비교분석하고 글꼴 사용의 가이드라인을 제시하기에 부족한 실정이다. 본 연구에서는 한글글꼴개발 및 활용을 지원하는 방안으로 글꼴분류체계의 다양화를 제시하고 다음과 같은 다각도의 분류기준을 제시한다. 첫째, 모임글자라는 한글글꼴의 근본적인 특징을 반영하고 한글 기계화에 큰 변수로 작용하는 한글의 구조에 기반한 글꼴구조분류, 둘째, 공감각적이고 멀티미디어적 정보전달이 일반화되어 가는 실정에 맞추어 감성 이미지어와 글꼴의 시각적 이미지를 연관시키는 글꼴이미지분류, 마지막으로 매체별로 가독성과 주시성 등을 고려하여 글꼴의 용도를 제시하는 글꼴용도분류를 제안한다. 멀티미디어 시대에 완성도 높고 다양한 글꼴의 개발과 문자정보의 부가가치를 높이는 적절하고도 효과적인 글꼴의 활용을 지원하기 위해서는 한글 글꼴의 특징과 사용환경에 기반하여 앞에 제시한 바와 같은 다각도의 분류체계를 세우고 이를 활용한 유기적인 글꼴데이터베이스를 구축하는데 적극적인 투자와 기술적인 지원이 필요하다. 이는 결과적으로 양질의 다양한 한글글꼴의 개발과 이의 활용도를 높일 수 있으리라 기대된다.

• Journal of the Korean Data and Information Science Society
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• 제9권2호
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• pp.119-138
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• 1998

The case of proportional cell frequencies for the two-way cross-classification with interaction is considered. Several types of hypotheses for the general unbalanced data that are commonly used in the literature are shown, and they are written out for this particular case. A reparameterized form of the cell means model is defined to establish the reparameterized model, and orthogonal property of the model is shown using the augmented matrix and the numerator sums of squares are computed. Different ways of producing the same analysis of variance tables are shown in both orthogonal and nonorthogonal situations.

• 한국도서관정보학회지
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• 제33권1호
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• pp.1-13
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• 2002

이 글에서는 새로이 설계된 국제백진분류법의 주류와 9개 보조표를 포함한 일반적인 개요와 특징에 대해 구체적으로 소개하였다.

• 대한약학회:학술대회논문집
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• 대한약학회 2003년도 Proceedings of the Convention of the Pharmaceutical Society of Korea Vol.1
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• pp.96-98
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• 2003

1. Standard and regulations for functional food evaluation cases form overseas (1) Japan For food function indication, Food Nutrition Improvement Act was amended in September 1991 and they managed functional food after setting specific health food in one of classification of special functional foods. For manification of raw material usage, the classification of health functional foods was performed by their application on: the control of internal organ status, cholesterol, blood pressure, mineral absorption, and prevention of dental caries. (omitted)