• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.4
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• pp.354-358
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• 2001

This paper presents a fuzzy neural network model which solves the underutilization problem. This fuzzy neural network has both stability and flexibility because it uses the control structure similar to AHT(Adaptive Resonance Theory)-l neural network. And this fuzzy nenral network does not need to initialize weights and is less sensitive to noise than ART-l neural network is. The learning rule of this fuzzy neural network is the modified and fuzzified version of Kohonen learning rule and is based on the fuzzification of leaky competitive leaming and the fuzzification of conditional probability. The similarity measure of vigilance test, which is performed after selecting a winner among output neurons, is the relative distance. This relative distance considers Euclidean distance and the relative location between a datum and the prototypes of clusters. To compare the performance of the proposed fuzzy neural network with that of Kohonen Self-Organizing Feature Map the IRIS data and Gaussian-distributed data are used.

• Korean Journal of School Psychology
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• v.17 no.2
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• pp.145-164
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• 2020

This study aims to validate the Korean Student Career Construction Inventory, a translated measure of career adaptation responses, with Korean college students. In order to do so, this study examines the relevant factor structure, internal consistency, test-retest reliability, criterion-related validity and measurement invariance between Korean undergraduate and graduate students. An online survey was completed by 294 participants, including the questions from the translated Korean Student Career Construction Inventory, in addition to measures of career adaptability and vocational identity. One hundred twenty five among the initial participants were tested again in three months for the examination of test-retest reliability. The results supported the four-factor structure of 18 items suggested by the original measure, as well as measurement invariance. The internal consistency and test-retest reliability were adequate. The Korean Student Career Construction Inventory was positively correlated with career adaptability, unidimensional vocational identity, and the dimensions of exploration and commitment of multidimensional vocational identity, but negatively with the dimension of reconsideration. The findings indicate that the Korean Student Career Construction Inventory has psychometric properties similar to the original form and can be used for both undergraduate and graduate students.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.11a
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• pp.713-716
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• 2007

오늘날 인간 프로젝트와 같은 종합적인 연구의 궁극적 목적을 달성하기 위해서는 이들 연구로부터 획득한 대량의 관련 데이터에 대해 새로운 현실적 의미를 부여할 수 있어야 한다. 따라서 현재의 마이크로어레이 기술을 이용해서 효과적으로 종양을 분류하기 위해서는 특정 종양 분류와 밀접하게 관련이 있는 정보력 있는 유전자를 선택하는 과정이 필수적이다. 본 논문에서는 암에 걸린 흰쥐 외피 기간 세포 분화 실험에서 얻어진 3840 유전자의 마이크로어레이 cDNA를 이용해 데이터의 정규화를 거쳐 유사성 척도 방법으로 정보력 있는 유전자들을 추출한 후, DT, NB, SVM, MLP 알고리즘을 이용하여 클래스 분류 모델을 구축하고, 성능을 비교분석하였다. 피어슨 적률 상관 계수를 이용하여 선택된 50 유전자들을 멀티퍼셉트론 분류기로 분류한 결과 94.8%의 정확도를 보여 가장 최적의 조합을 보였다.

• Korean Journal of Culture and Social Issue
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• v.25 no.4
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• pp.353-375
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• 2019

The purpose of this study was to examine the validity and reliability of the Playfulness Scale for Adults. The Korean version of the Playfulness Scale for adults was developed by Proyer, R.T (2017) to measure the playfulness of adults. To validate the OLIW in Korean, item translation, back-translation, item analysis, and exploratory factor analysis (EFA) were conducted with 406 adults in study 1. Of the results obtained from study1, three items and one factor (7 items) were discarded because they turned out to be improper. In addition, 4 factors that were not the same as the original scale were extracted. This was checked by conducting confirmatory factor analysis (CFA) with 336 adults in study 2. CFA supported the 4 factors structure and all 4 factors showed adequate internal consistency. To check the concurrent validity of the Korean adults playfulness scale, correlation analysis with the APS, SMAP, PSYA, and NEO Personality Assessment was conducted. It showed significant positive correlation to APS, SMAP, PSYA, and showed the similar patterns of correlation with the sub factors of NEO Personality Assessment. Adult playfulness is related to the participation frequency of leisure. In conclusion, the Korean version of the playfulness scale for adults is a valid measure of playfulness for adults in Korea. The implications, practical use and suggestions for future study were discussed.

• Journal of Korea Society of Industrial Information Systems
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• v.18 no.6
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• pp.103-112
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• 2013

While the competition among many portal sites has been very serious in the Internet, very little research has been conducted on the perceptions of the users visiting those sites. To investigate how differently the Internet users perceive each of the portal sites, we attempted to analyze the similarities of five popular portal sites (Daum, Naver, Google, Nate, and MSN). By measuring the conceptual distances among the portal sites using Multi-Dimensional Scaling, this study was intended to understand the positions of the sites relative to those of other sites. The results of this study is expected to contribute to our understanding of competitive contexts among the portal sites.

• Journal of KIISE:Software and Applications
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• v.26 no.9
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• pp.1114-1124
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• 1999

클러스터링은 동일한 클러스터에 속하는 데이타들 간에는 유사도가 크도록 하고 다른 클러스터에 속하는 데이타들 간에는 유사도가 작도록 주어진 데이타를 몇 개의 클러스터로 묶는 것이다. 어떤 대상을 기술하는 데이타는 수치 속성뿐만 아니라 정성적인 비수치 속성을 갖게 되고, 이들 속성값은 관측 오류, 불확실성, 주관적인 판정 등으로 인해서 정확한 값으로 주어지지 않고 애매한 값으로 주어지는 경우가 많다. 본 논문에서는 애매한 값을 퍼지값으로 표현하는 수치 속성과 비수치 속성을 포함한 데이타에 대한 비유사도 척도를 제안하고, 이 척도를 이용하여 퍼지값을 포함한 데이타에 대하여 퍼지 클러스터링하는 방법을 소개한 다음, 이를 이용한 실험 결과를 보인다. Abstract The objective of clustering is to group a set of data into some number of clusters in a way to minimize the similarity between data belonging to different clusters and to maximize the similarity between data belonging to the same cluster. Many data for real world objects consist of numeric attributes and non-numeric attributes whose values are fuzzily described due to observation error, uncertainty, subjective judgement, and so on. This paper proposes a dissimilarity measure applicable to such data and then introduces a fuzzy clustering method for such data using the proposed dissimilarity measure. It also presents some experiment results to show the applicability of the proposed clustering method and dissimilarity measure.

• Journal of KIISE
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• v.43 no.10
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• pp.1067-1072
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• 2016

Software birthmarks, which are unique characteristics of the software, are used to detect software plagiarism or software similarity. Generally, software birthmarks are divided into static birthmarks or dynamic birthmarks, which have evident pros and cons depending on the extraction method. In this paper, we propose a method for extracting the API sequence birthmarks using a dynamic analysis and similarity detection between the executable codes. Dynamic birthmarks based on API sequences extract API functions during the execution of programs. The extracted API sequences often include all the API functions called from the start to the end of the program. Meanwhile, our dynamic birthmark scheme extracts the API functions only called directly from the executable code. Then, it uses a sequence alignment algorithm to calculate the similarity metric effectively. We evaluate the birthmark with several open source software programs to verify its reliability and credibility. Our dynamic birthmark scheme based on the extracted API sequence can be utilized in a similarity test of executable codes.

• Anxiety and mood
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• v.9 no.1
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• pp.45-53
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• 2013

Objectives : The purpose of this study was to develop the Korean Strength Scale and to examine its validity and reliability. Methods : The Korean Strength Scale is a self-report questionnaire that measures 25 valued strengths and is comprised of 124 items ; each item had a 0-5 rating on a 6-point scale. In order to test validity and reliability, data were collected from 355 adults. The measures included the Korean Strength Scale, HEXACO Personality Inventory (HEXACO-PI), Satisfaction with life scale (SWLS), Positive Affect and Negative Affect Schedule (PANAS), and Orientations to Happiness Questionnaire (OHQ). Results : The resulting exploratory factor analysis of the Korean Strength Scale suggested 4 factor structures. The Korean Strength Scale was shown to have acceptable psychometric properties, including acceptable internal-consistency reliabilities, factorial validity, and high convergent correlations. Conclusion : Although there is room on improvement for some facet scales, the Korean Strength Scale appears to be a useful tool for assessing an individual's signature strengths.

• IE interfaces
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• v.8 no.3
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• pp.269-278
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• 1995

본 논문은 분산환경하에서 생산정보, 데이터 분석의 일 방안으로서 데이터의 관리 주체와 데이터들간의 유사성에 기초한 분산 기준을 제시한다. 제안된 분산기준은 데이터베이스 설계의 초기과정에서 네트워크 환경의 각 노드에서의 트랜젝션의 발생 수와 데이터 이용량의 예측이 용이하지 않은 경우에도 적용 가능하다는 점에서 가치를 지닌다. 제시된 설계 기준을 이용하여 생산정보 데이터베이스의 분산 모형을 설계, 제시한다.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.149-155
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• 2022

The popularity of e-commerce systems on the Internet is increasing day by day, and the recommendation system, as a core function of these systems, greatly reduces the effort to search for desired products by recommending products that customers may prefer. The collaborative filtering technique is a recommendation algorithm that has been successfully implemented in many commercial systems, but despite its popularity and usefulness in academia, the memory-based implementation has inaccuracies in its reference neighbor. To solve this problem, this study proposes a new time-aware collaborative filtering technique that integrates and utilizes the neighbors of each item and each user, weighting the recent similarity more than the past similarity with them, and reflecting it in the recommendation list decision. Through the experimental evaluation, it was confirmed that the proposed method showed superior performance in terms of prediction accuracy than other existing methods.