• 정보처리학회논문지C
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• 제14C권7호
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• pp.545-552
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• 2007

P3P는 웹 서비스 제공자와 사용자 사이에서 사용되는 개인정보의 정의, 전송, 수집, 그리고 유지 등에 대한 정책을 정의하고 협상하기 위한 표준이다. 현재까지 제시된 P3P 표준은 주로 사용자의 개인정보보호 정책과 웹 서버의 P3P 정책을 정의하고 두 정책을 비교하는 방법을 제공하고 있다. 그러나 사용자와 웹 서버 사이의 개인정보 및 데이터의 안전한 전송을 위한 세부 기능과 이 때 발생할 수 있는 문제점에 대해서는 명확하게 제시하고 있지 않다. 이러한 문제점을 해결하기 위해서, 본 논문에서는 Secure P3P(S-P3P) 프로토콜을 제안한다. 제안 프로토콜은 현재의 P3P 표준을 위한 보안 프로토콜로서 웹 서버와 사용자 간의 상호 인증 기능을 제공하고, 전송되는 메시지와 데이터의 무결성과 기밀성을 보장한다. 또한, S-P3P 프로토콜은 사용자로부터 웹 서버에 전송되는 개인정보의 송수신에 대한 부인방지 기능을 제공한다.

• 한국초등과학교육학회지:초등과학교육
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• 제26권2호
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• pp.216-225
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• 2007

The purpose of this study is to find out the differences (if any) and the causes of preferences for science between elementary school boys and girls. Another purpose of this study is to find out when such differences in preference begin and what their causes we. Fourth, fifth and sixth grades from elementary school A in Gyeongg-gi Province participated twice in research surveys on preference levels in science with education, career course and personal experience taken into account. A total of 997 survey responses, (excluding no responses or half-hearted ones) were selected for comparative analysis. The analysis methods used were frequency analysis, cross stabs and one-way ANOVA Analysis which depended on survey items. The results of this study show that preference levels in science are 61.7% and the difference of preference levels in science between boys and girls are 31.2% and 30.5% with boys showing higher percentages in science preference levels than girls(p<.01). Moreover, the results also show that the point in which changes in preference level in science emerges is from fifth and sixth grades. Therefore, the gender difference in preference levels in science begins with fifth grade students, with science being slightly more favored by boys. finally, the main causes in gender differences seems to be the experiment participants' levels, scientific education textbook preference level, interests in science class, and plans for the future that are related to field of science. Among these causes, interests level in science class and preference levels in science are closely related.

• Journal of Nutrition and Health
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• 제50권1호
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• pp.53-63
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• 2017

Purpose: This study was performed to examine motivational factors affecting sweetness preference in Korean and Japanese children. We identified meaningful variables that could be targeted to nutrition education interventions designed to overcome innate barriers and reduce sweetness preference and sweet food intake in Korean and Japanese children. Methods: Questionnaire surveys and sweetness preference test were conducted to examine variables affecting behavioral intention (BI) regarding sweetness preference. Questionnaire variables were based on the theory of planned behavior. Participants were recruited from one urban school from each country. In total, 166 children (mean age: 8.4 years) and their guardians (n = 166) participated in the study. A trained research assistant provided all children with personal guidance regarding completion of the sweetness preference test and survey questionnaire at school. The data were analyzed using Pearson's correlation coefficients, t tests, repeated measure ANOVA, and stepwise multiple regression analysis (significance level: p < 0.05). Results: Perceived behavioral control (PBC) and parenting practice were significantly associated with BI in both groups. Motivation to comply affected BI only in Japanese children, whereas affective attitude was associated with BI only in Korean children. In predicting sweetness preference, BI was associated only in Japanese children, whereas sweets consumption frequency had a significant effect in Korean children. Conclusion: The study shows similarities and differences in motivational factors, which could be considered when developing nutrition education programs in Korea and Japan. PBC and parenting practice were common factors in predicting BI. In predicting sweetness preference, BI had a significant effect on Japanese children, whereas sweets consumption frequency was the greatest contributor in Korean children.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1992년도 춘계공동학술대회 발표논문 및 초록집; 울산대학교, 울산; 01월 02일 May 1992
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• pp.267-277
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• 1992

본 논문은 다목적선형계획법을 위한 Decision Support System ASEOV-VIM을 소개하고 있다. ASEOV-VIM에는 1) efficient solution set전체에 대한 개괄과 search direction을 제새하는 ASEOV; 2) decision maker의 preference information을 도출해내는 VIM; 3) 위 두 부분간의 interface로 활용되는 Mediator등 3개의 하부시스템이 있다. ASEOV-VIM은 TURBO-C를 이용하여 personal computer에 구현되었다.

• 한국디자인학회:학술대회논문집
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• 한국디자인학회 2005년도 추계 학술발표대회 논문집
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• pp.240-241
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• 2005

• 한국의류산업학회지
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• 제6권4호
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• pp.461-466
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• 2004

The purpose of this study is to examine the different purchasing behaviors of natural dyes according to the personal value orientation of the consumers in question. In addition, this study sets out the purchasing behaviors according to demographic variables. To collect data, this study surveyed 150 housewives living in Daegu in November 2003 using convenient sampling. SPSS 10.0 was used for the statistical analysis of the sampled data including basic statistics, factor analysis and multiple regression analysis. The results derived from this study are as follows : 1) The group that exhibited a more self-controlled value orientation prefers to purchase natural dyes. 2) Consumers with relatively high education backgrounds and in an older age group have preference in purchasing natural dyes.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2019년도 춘계학술대회
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• pp.502-503
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• 2019

리뷰 데이터 분석을 통해 추천을 하는 기존 시스템에서 사용자의 특성 혹은 상품 구매 취향와 같은 개인의 선호 세부 정보를 반영하지 않는 점을 보완하여 본 논문에서는 사용자가 상품을 검색하고 그 상품을 구매할 때 가장 중요하게 생각하는 기준을 선택하도록 하고, 이를 반영하여 분석함으로써 다양한 사용자에게 맞춤화된 추천 정보를 제공하는 시스템을 제안한다. 이는 사용자가 상품 구매 시 가장 큰 비중을 차지하는 기준을 토대로 가중치를 부여하여 감성분석을 수행하고 그 결과를 반영하여 상품 목록을 제공한다. 따라서, 상품 추천 정보에 사용자 개인의 선호도를 반영하였기 때문에 기존 추천 시스템을 통해 상품을 추천받는 것보다 효율적인 결과를 얻을 수 있을 것으로 사료된다.

• 정보처리학회논문지C
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• 제13C권5호
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• pp.651-658
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• 2006

사용자의 이동성으로 인하여 이동컴퓨팅 환경에서 안정된 서비스 품질(QoS)로 사용자가 원하는 정보를 제공받는데 많은 한계점이 있다. 이동성과 더불어 무선 네트워크의 낮은 대역폭, 높은 전송지연 등의 고유 특성을 부분적으로 보완하기 위해서 유효 데이터의 캐슁 혹은 프리페칭 기법의 적용이 심도 있게 연구되고 있다. 본 논문은 사용자의 선호도(Preference) 즉, 관심도(Interest)와 인기도(Popularity)를 고려한 IP기반 프리페칭 기법을 제안한다. IP기반 프리페칭은 사용자의 선호도를 사용자별 특정 정보에 대한 개인적인 성향을 관심도로, 특정 정보의 일반적인 성향을 인기도로 분리, 적용함으로써 프리페칭의 유효성을 높인다. 제안된 방법은 기존의 방법들보다 높은 정보의 활용률과 정보검색 실패율을 최소화시키는 성능을 보이고 있다.

• 한국생활과학회지
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• 제5권1호
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• pp.65-73
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• 1996

The purpose of this study was to investigate preference in clothing fashion design and clothing purchase behavior. The questionnaires were administered to 281 female university students in Cheongju area to measure of demographic information, preference in clothing fashion design, interest of fashion in clothing, and clothing purchase behavior. As statistical analysis, frequencies, $x^2$-test and ANOVA were used. The results were as follows : 1. There were different preference in clothing fashion design. 2. The female university students had moderate interest of fashion in clothing, and the interest of fashion in clothing were significantly different according to personal factors. 3. The female university students purchased mainly their clothings at department store, and they were purchased on sale. 4. Most of female university students purchased T-shirts and pants from February to April, 1995.

• 지식경영연구
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• 제11권2호
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• pp.75-93
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• 2010

Even though there have been many efforts on driver's route recommendation, driver still should get involved to choose the driving path in a manual manner. Uncertain traffic information provided to the driver delays his arrival time and hence may cause diminished economic values. One of the solutions of reducing the uncertainty is to provide various kinds of traffic information, rather than send real-time information. Therefore, as the wireless communication technology improves and at the same time volume of utilizable traffic contents increases in geometrical progression, selecting traffic information based on driver's context in a timely and individual manner will be needed. Hence, the purpose of this paper is to propose a methodology that efficiently sends the rich traffic contents to the personal in-vehicle navigation. To do so, driver preference is modeled and then the recommendation algorithm of traffic information contents was developed using the preference model. Secondly, ontology based traffic situation analyzation method is suggested to automatically inference the noticeable information from the traffic context on driver's route. To show the feasibility of the idea proposed in this paper, an open API service is implemented in consideration of ease of use.