• 디지털산업정보학회논문지
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• 제5권1호
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• pp.141-153
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• 2009

There have been a lot of researches about KM(knowledge management) in domestic and foreign countries since 1990. Especially, there have been a lot of researches about enabler of KM, knowledge asset etc. but these are insufficient researches about performance measure of knowledge management considering maturity of KM. In addition, performance measure and maturity considering enabler to manage successful knowledge as well as knowledge asset which can be the following result are not the sufficient situation. Therefore, this study makes developmental levels of the inside and outside of the corporate by observing previous studies about the maturity of knowledge management and classifies enabler of knowledge management and measure item about knowledge asset by level, considering the features of each developmental level. And it is designed to propose maturity measure methods considering maturity level of actual knowledge management item by drawing indicator to measure classified items.

• 대한전자공학회논문지SD
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• 제41권5호
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• pp.81-90
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• 2004

본 연구는 테스트 패턴 생성 알고리즘에서 결정 과정을 안내하는 데 이용되는 새로운 테스트 용이도 척도 계산법을 제안한다. 이 테스트 용이도 척도는 학습에 의해 얻어지는 회로의 구조적 정보를 이용한다. 제안된 테스트 용이도 척도는 오직 하나의 해결책이 존재할 경우 모순조건을 조기에 찾아내는 패턴을 유도하며, 반면에 다수의 해결책들이 존재할 경우 최소한의 모순이 발생토록 유도한다. 제안된 테스트 용이도 척도는 기존의 방법과 동일한 고장 검출율을 얻는 패턴을 얻는데 소요되는 CPU 시간을 상당히 감소시킨다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2021년도 춘계학술대회
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• pp.340-341
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• 2021

본 논문에서는 사용자 영상에서 Aesthetic Measure 측정을 수행하였다. Aesthetic Measure란 우리의 감각 기관이 외부로부터 자극을 받아 감각이나 지각을 생기게 하는 감수성을 말한다. 이러한 Aesthetic Measure를 이용하여 감성으로 취급되는 색채조화 및 부조화의 문제를 수치적으로 계산하였다.

• Journal of applied mathematics & informatics
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• 제27권3_4호
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• pp.591-601
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• 2009

In the present paper, one new generalized 'useful' information generating function and two new relative 'useful' information generating functions have been defined with their particular and limiting cases. It is interesting to note that differentiations of these information generating functions at t=0 or t=1 give some known and unknown generalized measures of useful information and 'useful' relative information. The information generating functions facilitates to compute various measures and that has been illustrated by applying these information generating functions for Uniform, Geometric and Exponential probability distributions.

• Journal of applied mathematics & informatics
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• 제18권1_2호
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• pp.613-619
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• 2005

In this paper, we consider various types of convergence theorems of Choquet integral. We also show that the autocontinuity of finite fuzzy measure is equivalent to a convergence theorem with respect to convergence in measure.

• 음성과학
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• 제3권
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• pp.148-155
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• 1998

As an application of dimensional analysis in the theory of chaos and fractals, we studied and estimated the information dimension for various phonemes. By constructing phase-space vectors from the time-series speech signals, we calculated the natural measure and the Shannon's information from the trajectories. The information dimension was finally obtained as the slope of the plot of the information versus space division order. The information dimension showed that it is so sensitive to the waveform and time delay. By averaging over frames for various phonemes, we found the information dimension ranges from 1.2 to 1.4.

• 한국문헌정보학회지
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• 제50권4호
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• pp.283-310
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• 2016

본 연구의 목적은 충남대표도서관의 이용자 서비스 및 이용 활성화 방안을 마련하는 것이다. 이를 위해 관련 문헌조사와 타 대표도서관 서비스 분석, 설문조사 등을 수행하였다. 그 결과 첫째, 어린이자료실, 일반자료실, 전자자료실, 대강당, 다목적실, 야외무대, 전시실, 북카페 등 공간별 프로그램 방안, 둘째, 어린이, 청소년, 성인, 장애인, 다문화 가정 등 이용자 대상별 서비스 방안, 셋째, 인쇄매체서비스와 디지털자료서비스 등 자료유형별 정보서비스 방안, 넷째, 이동도서관 서비스 확대, 특수환경으로 인한 정보계층 대상 서비스, 이동도서관 규정 개발을 통한 정보취약계층을 위한 서비스 방안, 다섯째, 지역적 특성을 반영한 백제학 특성화 서비스, 충청학 향토자료 특성화 정보서비스, 행정 정책자료 정보서비스 등의 충청남도 도민을 위한 정보서비스 방안, 마지막으로 초기 이용자 확보 및 이용 활성화 방안을 제시하였다.

• 한국신뢰성학회지:신뢰성응용연구
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• 제18권3호
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• pp.208-212
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• 2018

Purpose: The three Vs of volume, velocity and variety are commonly used to characterize different aspects of Big Data. Volume refers to the amount of data, variety refers to the number of types of data and velocity refers to the speed of data processing. According to these characteristics, the size of Big Data varies rapidly, some data buckets will contain outliers, and buckets might have different sizes. Correlation plays a big role in Big Data. We need something better than usual correlation measures. Methods: The correlation measures offered by traditional statistics are compared. And conditions to meet the characteristics of Big Data are suggested. Finally the correlation measure that satisfies the suggested conditions is recommended. Results: Mutual Information satisfies the suggested conditions. Conclusion: This article builds on traditional correlation measures to analyze the co-relation between two variables. The conditions for correlation measures to meet the characteristics of Big Data are suggested. The correlation measure that satisfies these conditions is recommended. It is Mutual Information.

• International journal of advanced smart convergence
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• 제9권3호
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• pp.42-48
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• 2020

These days people are overwhelmed by information on the Internet thus searching for useful information becomes burdensome, often failing to acquire some in a reasonable time. Recommender systems are indispensable to fulfill such user needs through many practical commercial sites. This study proposes a novel similarity measure for user-based collaborative filtering which is a most popular technique for recommender systems. Compared to existing similarity measures, the main advantages of the suggested measure are that it takes all the ratings given by users into account for computing similarity, thus relieving the inherent data sparsity problem and that it reflects the uncertainty or vagueness of user ratings through fuzzy logic. Performance of the proposed measure is examined by conducting extensive experiments. It is found that it demonstrates superiority over previous relevant measures in terms of major quality metrics.

• International Journal of Human Ecology
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• 제5권2호
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• pp.13-29
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• 2004

Ryff's(1989) psychological well-being measure is used to assess and sometimes compare Korean and American adults, however, there is no information regarding whether its dimensions are psychometrically invariant across, whether its items provide sufficient information for, and whether each item measures identical trait levels in, the two nations. Confirmatory factor analysis on response 1,696 Korean and 3,669 American adults, gave to the measure revealed lack of fit and absence of factorial invariance across the two nations. Item response theory revealed significant variance for items on each factor across two countries that most items yielded limited psychometric information. And that each item measure different trait levels, suggesting that in its present form, the measure might lead to misleading results for, and across the two nations.