• International Journal of Fuzzy Logic and Intelligent Systems
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• 제10권4호
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• pp.275-280
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• 2010

Verification of efficiency in data management fuzzy entropy and similarity measure were discussed and verified by applying reliable data selection problem and numerical data similarity evaluation. In order to calculate the certainty or uncertainty fuzzy entropy and similarity measure are designed and proved. Designed fuzzy entropy and similarity are considered as dissimilarity measure and similarity measure, and the relation between two measures are explained through graphical illustration. Obtained measures are useful to the application of decision theory and mutual information analysis problem. Extension of data quantification results based on the proposed measures are applicable to the decision making and fuzzy game theory.

• 지식경영연구
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• 제4권2호
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• pp.1-18
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• 2003

Team-members may have diverse backgrounds and characteristics and such diversity is getting increased in teams in terms of demographics(gender, age, and educations) and capabilities(knowledge, skills, and experiences). A meta-analysis of the last 40 years studies, however, concluded that diversity in teams does not have the consistent main effect on team performances. On the other hand, according to theories of selection and socialization, similarity in values, backgrounds, and experiences buttress the positive and effective working environment. Therefore, we conduct an empirical study in favor of similarity in work teams for the sake of team effectiveness. We investigated the importance of the similarity of team-members on IT team effectiveness. Two aspects of similarity, demographic and cognitive, were considered together. The shared mental model(SMM) was introduced as the representative construct for the cognitive similarity. We found that SMM is more important than the demographic similarities on team effectiveness.

• 한국지능시스템학회논문지
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• 제18권2호
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• pp.200-205
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• 2008

데이터 분석을 위하여 데이터의 불확실성에 대한 측도로서 퍼지 집합에 대한 엔트로피를 소개하였고, 또한 데이터간의 유사도를 나타내는 유사측도를 구성하였다. 퍼지 소속 함수간의 유사측도는 거리측도를 이용하여 구성하였고, 제안한 유사측도를 증명을 통하여 확인하였다. 제안한 유사측도의 유용성을 확인하기 위하여 신뢰성 있는 데이터추출 예제에 적용하였다. 적용결과를 퍼지 엔트로피와 통계적 지식을 통하여 얻어진 이전의 결과와 비교하였다.

• 한국정보전자통신기술학회논문지
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• 제11권2호
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• pp.181-188
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• 2018

본 논문에서는 텍스트 마이닝을 이용한 소비자의 소비패턴 분석 기법을 제안하였다. 제안하는 소비패턴 분석기법에서는 첫째, 피어슨의 상관계수를 이용하여 사용자의 평가점수에 대한 유사도를 분석하고, 둘째, 텍스트 마이닝 기법 중의 하나의 TD-IDF의 코사인 유사도를 이용하여 사용자의 리뷰들간의 유사도를 분석하고, 셋째, Sentiwordnet를 이용하여 평가점수와 리뷰의 일치성을 분석하였다. 그리고 제안하는 소비패턴 분석 기법은 평가점수의 유사도와 리뷰의 유사도를 이용하여 근접이웃들을 선정하고, 선정된 이웃에 소비패턴에 적합한 추천리스트를 제공하였다. 추천리스트의 정확도는 피어슨 상관계수가 0.79, TD-IDF가 0.73, 그리고 제안하는 소비패턴분석기법이 0.82로 나타났다. 즉, 제안하는 소비패턴분석기법은 소비자의 정량적인 평가점수와 정성적인 리뷰를 모두 이용하므로 소비 패턴을 좀 더 정확하게 분석할 수 있었다.

• 대한수학교육학회지:수학교육학연구
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• 제19권3호
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• pp.393-407
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• 2009

이 논문은 우리나라 7차 중학교 교과서의 닮음 도입 및 정의의 특징을 비판적으로 분석한 것이다. 연구의 결과는 다음과 같다. 첫째, 초등학교에서 도형의 닮음 관련 내용이 삭제된 것을 고려하여 중학교에서 닮음 도입시 확대도나 축도를 그려 보는 풍부한 경험 속에서 '일정한 비율'의 의미가 내면화되게 할 필요가 있다. 둘째, 중학교 교과서에서 도형을 확대 또는 축소하는 방식 및 닮음 정의에는 서로 다른 두 가지 방식이 있으며, 그 각각의 방식이 지닌 한계에 유의할 필요가 있다. 셋째, 주어진 모눈을 화대 또는 축소한 모눈 위에 닮은 도형을 그리는 활동을 제시할 필요가 있다. 끝으로, 닮음 정의에 나오는 '닮음인 관계'라는 표현과 관련하여, '많음'을 교육과정 문서에 용어로 제시하는 것이 적절한지 재고할 필요가 있다.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제24권3호
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• pp.145-150
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• 2018

기회적 네트워크(Opportunistic networks)의 포워딩은 간헐적인 연결로 인하여 출발지와 목적지 간에 안정된 경로가 존재하지 않아 기존 포워딩 기법들은 성능이 저하되는 문제를 가지고 있다. 최근 소셜 네트워크 관계망을 이용한 연구가 활발히 진행되고 있으며, 유사도(Similarity)는 소셜 네트워크 분석을 위한 매우 중요한 분석 방법 중 하나이다. 본 논문은 대표적인 유사도를 이용한 포워딩 기법들을 제안하고 기회적 네트워크에서 유사도에 기반한 포워딩 기법을 적용시에 얼마나 성능 향상이 있는지 알아본다. 그 결과로, 이 기법들은 목적지와 유사도가 높은 노드를 중개 노드로 선정하여 포워딩하기 때문에 낮은 트래픽 및 홉 수를 가지게 되며, 준수한 전송 딜레이를 유지한다.

• Computers and Concrete
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• 제21권4호
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• pp.385-397
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• 2018

This study is focused on the investigation for similitude the requirements between prototype and scaled models to determine the structural behavior of concrete load bearing systems. The scaling concept has been utilized in many engineering branches, has been assisted to engineers and scientists for obtain the behavior of the prototype by using scaled model. The scaling can be done for two purposes, either scaling up or scaling down depending upon the application. Because, scaled down models are the experimentation on scaled models is cheaper than huge structures. These models also provide facilities for experimental work. Similarity relationships between systems are created either by field equations of the system or by dimensional analysis. Within this study, similarity relationships were obtained by both methods. The similarity relations obtained are applied to different load bearing systems and it is determined that the similarity relation is a general expression. In this study, as an example, column, frame, cantilever beam and simple beam are chosen and 1/2, 1/5 and 1/10 scales are applied. The results are compared with the analytical results which are obtained by creating of the finite element models with SAP2000 software of different scaled load bearing systems. The analysis results of all systems are examined and it is determined that the scale factors are constant depending on the scale types for different load bearing systems.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2006년도 춘계학술대회논문집
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• pp.1149-1149
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• 2006

The leakage characteristic is an important factor in power plant. However, most of power plant have efficiency problem which is occurred leaking between high pressure steam turbine axle and stator. The labyrinth seal which is used between the main turbine axle and stator in the power plant. Because it is able to be non-contact seal and it is minimize clearance to decrease the leakage. But its actual system is too huge to experiment. Therefore, most steam turbine seal performance tests were conducted by air similarity test. This paper described a test facility and program for air similarity test of high pressure steam turbine seal. A test facility has been designed and built to evaluate leakage verification of labyrinth seal. The test facility consist of air compressor, anti-swirl labyrinth seal for 1/3 air similarity model, pressure transducer, air flow measure system, instrumentation and auxiliary system. For evaluation of steam turbine seal performance, the air similarity test of labyrinth seal leakage verification was conducted and we compared experiment data and analysis result.

• The Journal of Asian Finance, Economics and Business
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• 제7권2호
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• pp.221-228
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• 2020

This study suggests an alternative to the conventional collaborative filtering method for predicting consumer choice, using case-based reasoning. The algorithm of case-based reasoning determines the similarity between the alternative sets that each subject chooses. Case-based reasoning uses the inverse of the normalized Euclidian distance as a similarity measurement. This normalized distance is calculated by the ratio of difference between each attribute level relative to the maximum range between the lowest and highest level. The alternative case-based reasoning based on similarity predicts a target subject's choice by applying the utility values of the subjects most similar to the target subject to calculate the utility of the profiles that the target subject chooses. This approach assumes that subjects who deliberate in a similar alternative set may have similar preferences for each attribute level in decision making. The result shows the similarity between comparable alternatives the consumers consider buying is a significant factor to predict the consumer choice. Also the interaction effect has a positive influence on the predictive accuracy. This implies the consumers who looked into the same alternatives can probably pick up the same product at the end. The suggested alternative requires fewer predictors than conjoint analysis for predicting customer choices.

• International Journal of Contents
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• 제13권4호
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• pp.70-79
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• 2017

Images are an important element in patents and many experts use images to analyze a patent or to check differences between patents. However, there is little research on image analysis for patents partly because image processing is an advanced technology and typically patent images consist of visual parts as well as of text and numbers. This study suggests two methods for using image processing; the Scale Invariant Feature Transform(SIFT) algorithm and Optical Character Recognition(OCR). The first method which works with SIFT uses image feature points. Through feature matching, it can be applied to calculate the similarity between documents containing these images. And in the second method, OCR is used to extract text from the images. By using numbers which are extracted from an image, it is possible to extract the corresponding related text within the text passages. Subsequently, document similarity can be calculated based on the extracted text. Through comparing the suggested methods and an existing method based only on text for calculating the similarity, the feasibility is achieved. Additionally, the correlation between both the similarity measures is low which shows that they capture different aspects of the patent content.