• 대한가정학회지
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• 제47권10호
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• pp.1-11
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• 2009

The purpose of this study was to explore differences in style preference, information source, and store selection behaviors of Korean and Chinese wedding dress shoppers. Data obtained from 141 Chinese and 143 Korean females were analyzed through descriptive analysis, t-test, cross-tabulation and factor analysis. Results for Chinese and Korean consumers depended on the marketer-driven information source as well as on the consumer-driven information source. Both groups considered the aesthetics of the wedding dress as the most important criterion for store selection. There were some differences between Chinese and Korean consumers in style preferences and store selection criteria. Chinese consumers liked a wider range of wedding dress styles compared to Korean consumers. Also, Chinese consumers regarded fashionability as more significant whereas Koreans considered economic benefits more importantly when selecting stores for a wedding dress.

• 복식
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• 제61권7호
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• pp.51-66
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• 2011

The study is intended to suggest the differentiated and subdivided indexes of the leisure fashion market and to provide the marketing strategy establishment and in-depth understanding of leisure fashion business by looking into the correlation between and among fashion involvement, clothing selection criteria and fashion information sources. This study was conducted by the questionnaire response method and the results were derived by using the SPSS 16.0 statistics program. The results of the study were as follows; 1) As a result of researching the difference between the leisure activities consumer groups and fashion involvement, there were significant differences in emotional and cognitive involvement. In the tour activity group and social activity group, emotional involvement was found to be higher than the cognitive experience while in the hobby and sports activity group, both involvements were equally as high. 2) As a result of researching the difference between the leisure activities groups and clothing selection criteria, it was found that the intrinsic and extrinsic criteria were high in the hobby and sports activity group and that the intrinsic criteria was high in the tour activity group and social activity group. 3) In the difference between the leisure activity groups and fashion information sources, it was found that media source, observation source and experience/personal source were high in the hobby and sports activity group. In addition, the experience and personal source were high in the social activity group. 4) In the difference between and among fashion involvement, clothing selection criteria and fashion information sources, it was found that the emotional involvement, intrinsic criteria and observation source were higher in the group of females than males. 5) In the difference between and among fashion involvement, clothing selection criteria and fashion information sources depending on the ages of leisure activities consumers, it was found that the emotional involvement and observation source were high in the group of 20-24 yrs old consumers and that the emotional involvement, intrinsic criteria and observation source were high in the group of 25-29 yrs old consumers. Also, in the group of 30-34 yrs old consumers, the emotional involvement, observation source and experience/personal source were high.

• Journal of information and communication convergence engineering
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• 제9권2호
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• pp.155-160
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• 2011

In distributed source localization where sensors transmit measurements to a fusion node, we address the sensor selection problem where the goal is to find the best set of sensors that maximizes localization accuracy when quantization of sensor measurements is taken into account. Since sensor selection depends heavily upon rate assigned to each sensor, joint optimization of rate allocation and sensor selection is required to achieve the best solution. We show that this task could be accomplished by solving the problem of allocating rates to each sensor so as to minimize the error in estimating the position of a source. Then we solve this rate allocation problem by using the generalized BFOS algorithm. Our experiments demonstrate that the best set of sensors obtained from the proposed sensor selection algorithm leads to significant improvements in localization performance with respect to the set of sensors determined from a sensor selection process based on unquantized measurements.

• 정보관리학회지
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• 제30권3호
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• pp.7-21
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• 2013

본 연구는 대학생들의 학업과제수행에 필요한 정보원에 대한 인식 및 선택과 그 이용과 관련하여, 학생들이 (1) 유용하다고 인식하는 정보원과 자주 이용하는 정보원의 차이를 비교하고, (2) 정보원 선택 시 중요하게 생각하는 정보원의 특성과 자주 이용하는 정보원의 특성을 비교, 분석함으로써, 학생들의 정보원에 대한 인식과 실제 이용행동간의 차이를 파악하고자 하는 목적으로 수행되었다. 미국 대학생 총 251명을 대상으로 설문조사를 실시한 연구결과에 따르면, 학생들이 가장 빈번히 이용하는 정보원이자 가장 유용한 정보원은 웹자원으로 밝혀졌다. 온라인DB/저널은 가장 빈번히 사용된 정보원은 아니었지만 유용한 정보원으로는 인식되고 있었다. 또한 '정확성'이나 '망라성' 등과 같은 정보의 품질을 정보원 선택의 중요한 기준으로 생각은 하지만 실제로는 편리하고 접근가능한 정보원을 선택하고 있음이 밝혀졌는데, 이는 대학생들이 중요하다고 생각하는 선택기준에 근거해 정보원을 선택하지 않고 있음을 보여준다. 정보원의 선택기준과 실제 이용간의 간극을 보여주는 이러한 연구결과를 토대로 대학생들이 양질의 정보원을 선택하도록 도울 수 있는 정보활용교육과 더 사용하기 쉽고 편리한 정보시스템 설계를 위한 방안을 제시하였다.

• 패션비즈니스
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• 제8권2호
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• pp.42-55
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• 2004

The purpose of this study was to classify the contents of department stores and large-scale discount stores of consumer on information source, shopping orientation and store image in an effort to determine which variable gave a crucial impact on cosmetics department stores and large-scale discount stores selection behavior. The subjects of this study were 557 adult women visited department store and large-scale discount store in Busan. The data were analyzed by using Factor analysis, Frequency analysis, Correlation analysis, Cronabach $\alpha$ and Regression analysis. The results were as follows; 1. There was a difference in the demographical characteristics on department stores and large-scale discount stores of consumers. 2. Shopping Orientation of consumers were categorized into 5 types, and information source of consumers did 3 types, and store image of consumers did 5 types. 3. Leisure utilization, store & brand loyalty, store information, personal information, massmedia information, product & operate on, store atmosphere & salesperson and shopping convenience had positive correlations with cosmetics department stores selection beavior. but convenient location, rationality & economy and sales promotion had negative correlations with cosmetics department stores selection beavior. 4. Rationality & economy and sales promotion had positive correlations with cosmetics large-scale discount stores selection beavior. but convenient location, leisure utilization, store & brand loyalty, massmedia information, product & operate on, store atmosphere & salesperson and shopping convenience had negative correlations with cosmetics large-scale discount stores selection beavior. 5. Age, income, business(-), convenient location(-), rationality & economy(-), leisure utilization, store & brand loyalty, store information, personal information, massmedia information, store atmosphere & salesperson, shopping convenience and sales promotion(-) had a direct effect on cosmetics department stores selection beavior. Age, income, marriage, education had an indirect effect on department stores selection beavior through information source and store image, and information source did through store image, and shopping orientation did through store image. 6. Rationality & economy, convenient location(-), leisure utilization(-), store & brand loyalty(-), buying independence(-), personal information, massmedia information(-), product & operate on(-), shopping convenience(-) and sales promotion had a direct effect on cosmetics large-scale discount stores selection beavior. Age, income, marriage, education had an indirect effect on large-scale discount stores selection beavior through information source, shopping orientation and store image, and information source did through store image, and shopping orientation did through store image.

• 복식
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• 제21권
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• pp.219-226
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• 1993

The main purpose of this study is to inves-tigate brand loyalty on ready-to-wear of fe-male. The subjects were two hundred ninty females in Taegu. Using SPSS package in or-der to identify relations of clothing selection behavior and information source uses multivariate analysis of variance(MANPVA) univariate analysis of variance(ANOVA) were executed. Scheffe est a kind of post-hoc multiple comparisons methods was adapted. conclusions reached in this study are as follows: 1. Clothing purchase pattern of consumers classified brand loyal group and brand dis-loyal group. The number of people in the brand loyal group was fifty more than that of the brand disloyal group. 2. In relation of brand loyalty and clothing selection behavior brand loyal group had high scores on individuality and exhibition of clothing selection behavior. Brand dis-loyal group had high scors on economy practicality courtesy facility. 3. In difference of information uses on brand loyalty brand loyal group had high scores on printed-information source, broadcast-ing-information source broadcast-ing-information sources. Among them brand loyal group particularly used printed-infor-mation source more than brocasting infor-mation source. On the contray brand dis-loyal group have high scores on human-in-formation source.

• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 2000년도 종합학술대회발표논문집
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• pp.207-214
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• 2000

Over the last several decades, the topic of the source selection and evaluation has gained a great attention in the information systems community as an effective tool to acquire information systems in an organization. The source selection and evaluation process is a multiple-criteria decision-making problem associated with several evaluation issues. In this case study, evaluation issues include management, technologies, logistics, and cost. This case study was conducted to compare a new source selection and evaluation process by using the analytic hierarchy process with the traditional approach. This study provides useful insight about how to apply the analytic hierarchy process technique to the traditional approach.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3268-3283
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• 2018

With the advent of the Information Age, the source identification of digital images, as a part of digital image forensics, has attracted increasing attention. Therefore, an effective technique to identify the source of digital images is urgently needed at this stage. In this paper, first, we study and implement some previous work on image source identification based on sensor pattern noise, such as the Lukas method, principal component analysis method and the random subspace method. Second, to extract a purer sensor pattern noise, we propose a sample selection method to improve the random subspace method. By analyzing the image texture feature, we select a patch with less complexity to extract more reliable sensor pattern noise, which improves the accuracy of identification. Finally, experiment results reveal that the proposed sample selection method can extract a purer sensor pattern noise, which further improves the accuracy of image source identification. At the same time, this approach is less complicated than the deep learning models and is close to the most advanced performance.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.272-277
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• 2001

In this paper, we describe a new method for selecting information sources in a distributed environment. Recently, there has been much research on distributed information retrieval, that is information retrieval (IR) based on a multi-database model in which the existence of multiple sources is modeled explicitly. In distributed IR, a method is needed that would enable selecting appropriate sources for users\` queries. Most existing methods use statistical data such as document frequency. These methods may select inappropriate ate sources if a query contains polysemous words. In this paper, we describe an information-source selection method using two types of thesaurus. One is a thesaurus automatically constructed from documents in a source. The other is a hand-crafted general-purpose thesaurus(e.g. WordNet). Terms used in documents in a source differ from one another and the meanings of a term differ depending on th situation in which the term is used. The difference is a characteristic of the source. In our method, the meanings of a term are distinguished between by the relationship between the term and other terms, and the relationship appear in the co-occurrence-based thesaurus. In this paper, we describe an algorithm for evaluating a usefulness of a source for a query based on a thesaurus. For a practical application of our method, we have developed Papits, a multi-agent-based in formation sharing system. An experiment of selection shows that our method is effective for selecting appropriate sources.

• 한국정보통신학회논문지
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• 제18권11호
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• pp.2593-2599
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• 2014

최근 모바일 앱에서도 오픈소스 소프트웨어를 이용한 개발이 활발하게 이루어지고 있다. 오픈소스 모바일 컴포넌트의 경우 사용자 인터페이스 구현을 위한 컴포넌트의 재사용성이 용이하다는 이유로 기능적 역할의 컴포넌트보다 더욱 많이 사용되는 경향이 있다. 이런 특징으로 인해 기존의 오픈소스 소프트웨어 선정절차나 상용 컴포넌트 선정절차 두 가지 연구 모두 오픈소스 모바일 컴포넌트 선정에 그대로 적용하기에는 무리가 있다. 본 논문에서는 기존에 연구된 오픈소스 소프트웨어 선정절차를 모바일 컴포넌트 선정에 적합하도록 수정, 보완하였다. 본 연구는 모바일 앱을 개발할 경우, 요구되는 기능을 충족하는 오픈소스 컴포넌트를 쉽게 검색하고 선정할 수 있는 효율적인 절차를 제시함으로써 모바일 앱 개발의 생산성을 높여줄 수 있다.