• Journal of Korea Society of Digital Industry and Information Management
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• v.8 no.2
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• pp.31-40
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• 2012

Face recognition refers to the process of identifying individuals based on their facial features. It has recently become one of the most popular research areas in the fields of computer vision, machine learning, and pattern recognition because it spans numerous consumer applications, such as access control, surveillance, security, credit-card verification, and criminal identification. However, illumination variation on face generally cause performance degradation of face recognition systems under practical environments. Thus, this paper proposes an novel face recognition system using a fusion approach based on local binary pattern and two-dimensional principal component analysis. To minimize illumination effects, the face image undergoes the local binary pattern operation, and the resultant image are divided into two sub-images. Then, two-dimensional principal component analysis algorithm is separately applied to each sub-images. The individual scores obtained from two sub-images are integrated using a weighted-summation rule, and the fused-score is utilized to classify the unknown user. The performance evaluation of the proposed system was performed using the Yale B database and CMU-PIE database, and the proposed method shows the better recognition results in comparison with existing face recognition techniques.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.6
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• pp.1060-1070
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• 2017

This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends.

• Journal of Korean Society of Transportation
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• v.24 no.7 s.93
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• pp.53-62
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• 2006

The aim of this paper is to analyze the changes in the travel pattern of public transit users, service satisfaction before and after public transportation system reform in Daegu. For this purpose, we conducted a survey of people on public transit users and the results of study are as follows : First, it was found that transfer trip had increased, especially concerning the changes of travel pattern from bus trip to the transfer trip between the bus and subway. Because it makes a financial sense to transfer based on free charge transfer system. Secondly, the transfer satisfaction was improved for public transit users, but they are still reluctant to use transfer system.

• Journal of the Korean housing association
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• v.17 no.5
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• pp.55-65
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• 2006

The objective of this study is to provide new direction on house design in consideration of the PC users' life pattern. This study found that PC use present conditions at home, demand for PC using space, and requirements for PC using area were analyzed. A survey was taken by 1108 residences, and the SPSS win.10 was applied for analysis. The survey was conducted to see the computer usage at home, demand and satisfaction for the PC using space. The results of this study were as follows; forty-seven percent of respondents said they used the PC in son's and daughter's room while 36.8% answered living room. It reflects that the whole family want to use the PC in the same area, or for their children's convenience. Users' consciousness was analyzed four factor, which were 'physical inconvenience:'satisfactions in PC position', 'inconvenience caused by narrowness', 'notion of privacy'. PC users' consciousness had significant differences in the satisfaction by PC users' characteristic and housing characteristic. It was to be classified that the PC use space into several pattern according to furniture arrangement, and channel pattern had the highest satisfaction among those pattern. Through this study, it is expected that new housing designs need to be made to reflect lese requirements into interior design and house plan for PC user's needs.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.6
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• pp.1074-1087
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• 2022

This study reports an optimization of a 3D printed wrist brace (WB) for various tilting angles (0°, 45°, 90°) of the re-entrant (RE) pattern and thickness (2 mm, 4 mm) using thermoplastic polyurethane (TPU) filaments and thermoplastic elastomer (TPE) filaments. The actual printing time, weight, Poisson's ratio, and tensile property of the manufactured samples were analyzed. The results confirmed that the actual printing time and weight increased with increasing thickness, regardless of the filament type. All tilting angles of the WB showed a negative Poisson's ratio (NPR), the largest of which appeared at 90°. The results of the tensile property analysis showed that a 90° tilting angle also had the largest value of elongation and stress. From these results, we conclude that the most suitable wrist brace is one in which the actual printing time is low, the weight is minimized to a thickness of 2 mm, and the tilting angle of the RE pattern is 90° for good shock absorption. The choice of filaments may be decided upon according to the user's preference, since the TPU is stiff and the TPE is elastic.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 1999.03a
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• pp.255-259
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• 1999

Easy check system for cardiac function was developed for computer user n this study. EKG amplifier was designed to remove a common noise and muscle noise. EKG pattern, and calculated real time heart rate and probability of arrhythmia were displayed in personal computer. This system would be an effective tool for checking cardiac function in everyone using computer.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.205-208
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• 2001

본 논문은 Biometrics분야 중 다른 생체학적 특징보다도 정확도면에서 가장 뛰어난 특징인 안구의 홍채 패턴을 이용하여 사용자를 인증 하는 시스템에 관한 연구이다. 입력된 안구 영상으로부터 전처리과정을 거쳐 극좌표 변환을 통해 홍채 패턴을 추출한 후 웨이블릿 변환을 이용하여 특징패턴을 압축하였으며, PCA(Principal Component Analysis:주성분 해석)의 한 종류인 GHA(Generalized Hebbian Algorithm)를 사용하여 등록된 사용자의 패턴 DB 에서 Basis 배열을 추출하고, 구축된 Basis 배열과 입력 영상 패턴과의 비교 Matching을 통하여 사용자를 인증하는 시스템을 제안한다.

• Proceedings of the Korean Information Science Society Conference
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• 2001.10a
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• pp.547-549
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• 2001

웹 기반 시스템의 테스팅에 대한 정확성과 신뢰성을 향상시키는 것은 시스템의 질을 향상시킬 수 있고 시스템 개발 및 유지보수에 대한 비용을 현저히 줄일 수 있다. 본 논문에서는 웹 로그 분석을 통하여 테스팅 환경 설정에 필요한 정보와 사용자들에 대한 패턴 정보를 추출하였다. 그리고 웹 컨텐츠 분석을 통하여 링크 정보와 데이터베이스에 대한 접근 또는 사용자 입력을 요구하는 모듈에 대한 정보를 추출하였다. 추출한 정보를 이용하여 테스팅을 위한 시나리오 문서인 테스트 스크립트를 생성함으로써 실세계에 근접한 테스트 시뮬레이션을 구현하는 방법을 제시하였다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.11
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• pp.117-123
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• 2012

Smart devices are great tool to get a lot of information of user by variety sensors, application, web. The information is good clue to seize pattern of user. So, we can expect that customized content-service will be possible based on utilizing information of user. This expectation alters the type of content-service from just providing lots of contents to smart devices to recommendation contents which wanted, needed, favorite looking by user. For this customized content-service, a system model like a curator in galleries or museums is required. So, in this paper, we suggest Intelligent Contents Curation(ICCuration) model which has 3 sub modules with sensing, analysis and filtering information of user. The collected information of user are processed up to scenarios and the scenario is a clue for selecting contents which will be recommended to users. In the scenario has user's preferences and behaviors as well as devices informations as elements. So, contents can be optimized not only domain category but type of media for devices.

• Journal of the Korean Home Economics Association
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• v.38 no.12
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• pp.111-129
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• 2000

The purpose of this study is to investigate the level of consumer instantly impulse buying in cuber market user. Also this study analyzes causal effect on consumer instantly impulse purchasing by demographic and social, place and promotion, consumer emotion state, and consumer internal and psychological variables. The data had been collected from on-line research method with 1,034, as using cuber market. The major statistical methods used for data analysis are frequency, percentile, mean, factor analysis, multiple regression analysis, Pearson's correlation analysis, and path analysis. The result of causal effect analysis were as follows; First, the variables affecting possession oriented materialism were sex and age. Second, the variables affecting self-control were sex, income, account of credit card, and instantly state of mind. Third, variables directly affecting instantly impulse purchasing were serif employed, banner advertisement, experience of cuber shopping, shopping mall pattern, instantly state of mind, purpose of shopping, happiness and success oriented materialism, and self-control. Also sex, income account of credit card, and instantly state of mind emerge to indirectly effect via self-control. Especially, the variables of success oriented materialism and instantly state of mind influenced on the highest of relative variables in consumer instantly impulse purchasing.