웹기반 인증서 및 키관리 시스템의 설계 및 구현

박윤주(Yoon-joo Park),문창주(Chang-joo Moon),박대하(Dae-Ha Park),백두권(Doo-kwon Baik) 한국정보과학회 1999 한국정보과학회 학술발표논문집 Vol.26 No.2Ⅲ

전자상거래에 대한 요구가 급증하고있는 오늘날, 상대방의 신뢰성을 보증해 주는 인증서 사용이 빈번해지고 있다. 기존에는 인증기관이 발급한 인증서를 사용자가 보관하다가, 전자상거래를 할 경우 이를 전자서명과 함께 상대방에게 제시하여 서로의 신뢰성을 확인하였지만, 이 방법은 사용자가 인증서와 비밀키를 자신의 하드웨어 디스크에 보관하거나, 스카트 카드 또는 플로피디스켓에 휴대하고 다녀야 하는 번거로움이 있었다. 사용자의 이동이 많아지고, 사용자가 자신의 위치나 하드웨어 플랫폼에 상관없이 전자상거래를 하고자 하는 요구가 증대됨에 따라서, 인증서와 비밀키를 휴대해야 하는 불편함은 커다란 제약점이라고 할 수 있다. 본 논문에서는 이러한 문제를 극복하고, 사용자가 어느 곳에서든지 웹브라우져를 사용하여 쉽게 인증서와 비밀키를 사용할 수 있도록 하는 웹기반 인증서 및 키관리 시스템의 설계와 구현방법을 제안한다. 제안된 시스템은 사용자가 복잡한 패스워드를 기억하지 못한다는 점과 패스워드가 쉽게 노출 될 수 있다는 점을 고려하여 SPEKE에서 제시한 방법을 활용하여 로그인 하였고, 시스템에 외부인이 침입할 경우에 대비하여 데이터베이스 안의 중요한 정보들은 암호화하여 저장하도록 하였으며, SSL이 설정되지 않았을 경우에도 안전하게 인증서를 위탁할 수 있도록 사용자와 인증서 관리 시스템은 정보를 암호화하여 통신하도록 한다.

인터넷 브랜드 공동체의 서비스특성이 브랜드태도와 충성도에 미치는 영향

박윤주(Yoon Joo Park),윤성준(Sung Jun Yoon) 국제e-비즈니스학회 2018 e-비즈니스 연구 Vol.19 No.5

대학에서 창출하는 지적 / 인적자원에 대한 기업연계 플랫폼

박윤주(Yoon-Joo Park) 한국지능정보시스템학회 2014 지능정보연구 Vol.20 No.3

대학은 교육을 통한 인재육성과 더불어, 사회적 가치를 창출할 수 있는 새로운 지식 및 아이디어를 창출하는 것을 주요한 목적으로 한다. 이러한 지적 자원은 비단 교수들이 생산하는 논문에 국한되지 않으며, 학생들로부터 창출되는 창의적인 아이디어, 독창적 문제인식 및 솔루션을 포괄하고 있다. 대학에서 창출되는 주요한 지적자원은 학술적인 지식인 ‘논문’, 교육적 용도의 ‘강의자료’, 텀프로젝트, 공모전 등을 통해 창출되는 창의적 형태의 ‘아이디어’, 그리고 법적인 지적재산권이 확보된 ‘특허’등이 있다. 그러나, 이러한 대학의 지적 자원은 대부분 강의실 이외의 공간으로 유통되지 못하고 있으며, 대학 내에서조차 체계적으로 관리되지 못한다. 본 연구는 인문사회계열의 대학에서 창출되는 다양한 형태의 지적 자원을 기업에 유통시키고, 이를 통하여 대학의 인적자원이 기업에 연계될 수 있도록 하는 새로운 형태의 시스템 플랫폼을 제안한다. 즉, 대학의 지적자원을 실제로 이를 활용할 기업에게 시스템적으로 유통시킬 수 있는 방안을 연구하였으며, 이와 더불어 대학에서 배출되는 우수한 인재들의 정보를 기업에 함께 전달하여, 산학연계를 공고히 할 수 있는 시스템의 플랫폼을 설계하였다. 이를 위해, 본 연구에서는 시스템의 주요 사용자인 학생 및 교수, 그리고 기업의 실무담당자 총 100명에 대한 사용자 요구도를 조사하고, 이를 토대로 대학의 지적/인적자원에 대한 유통플랫폼 및 이에 대한 그래픽 사용자 인터페이스 (Graphic User Interface) 프로토타입을 구성하였다. 마지막으로, 제안된 플랫폼을 효과적으로 운영할 수 있는 방안에 대한 정책적 시사점을 제안하였다.

온라인 쇼핑에 있어 SNS 속성이 사용자 만족, SNS 신뢰 및 구매의도에 미치는 구조적 영향관계

박윤주(Park, Yoon Joo),윤성준(Yoon, Sung Jun) 국제e-비즈니스학회 2016 e-비즈니스 연구 Vol.17 No.6

특허의 기술이전 활성화를 위한 소셜 태깅기반 지적재산권 추천플랫폼

박윤주(Yoon-Joo Park) 한국지능정보시스템학회 2015 지능정보연구 Vol.21 No.3

Korea has witnessed an increasing number of domestic patent applications, but a majority of them are not utilized to their maximum potential but end up becoming obsolete. According to the 2012 National Congress’ Inspection of Administration, about 73% of patents possessed by universities and public-funded research institutions failed to lead to creating social values, but remain latent. One of the main problem of this issue is that patent creators such as individual researcher, university, or research institution lack abilities to commercialize their patents into viable businesses with those enterprises that are in need of them. Also, for enterprises side, it is hard to find the appropriate patents by searching keywords on all such occasions. This system proposes a patent recommendation system that can identify and recommend intellectual rights appropriate to users’ interested fields among a rapidly accumulating number of patent assets in a more easy and efficient manner. The proposed system extracts core contents and technology sectors from the existing pool of patents, and combines it with secondary social knowledge, which derives from tags information created by users, in order to find the best patents recommended for users. That is to say, in an early stage where there is no accumulated tag information, the recommendation is done by utilizing content characteristics, which are identified through an analysis of key words contained in such parameters as ‘Title of Invention’ and ‘Claim’ among the various patent attributes. In order to do this, the suggested system extracts only nouns from patents and assigns a weight to each noun according to the importance of it in all patents by performing TF-IDF analysis. After that, it finds patents which have similar weights with preferred patents by a user. In this paper, this similarity is called a “Domain Similarity”. Next, the suggested system extract technology sector’s characteristics from patent document by analyzing the international technology classification code (International Patent Classification, IPC). Every patents have more than one IPC, and each user can attach more than one tag to the patents they like. Thus, each user has a set of IPC codes included in tagged patents. The suggested system manages this IPC set to analyze technology preference of each user and find the well-fitted patents for them. In order to do this, the suggeted system calcuates a ‘Technology_Similarity’ between a set of IPC codes and IPC codes contained in all other patents. After that, when the tag information of multiple users are accumulated, the system expands the recommendations in consideration of other users’ social tag information relating to the patent that is tagged by a concerned user. The similarity between tag information of perferred ‘patents by user and other patents are called a ‘Social Simialrity’ in this paper. Lastly, a ‘Total Similarity’ are calculated by adding these three differenent similarites and patents having the highest ‘Total Similarity’ are recommended to each user. The suggested system are applied to a total of 1,638 korean patents obtained from the Korea Industrial Property Rights Information Service (KIPRIS) run by the Korea Intellectual Property Office. However, since this original dataset does not include tag information, we create virtual tag information and utilized this to construct the semi-virtual dataset. The proposed recommendation algorithm was implemented with JAVA, a computer programming language, and a prototype graphic user interface was also designed for this study. As the proposed system did not have dependent variables and uses virtual data, it is impossible to verify the recommendation system with a statistical method. Therefore, the study uses a scenario test method to verify the operational feasibility and recommendation effectiveness of the system. The results of this study are expected to improve the possibility

온라인 상품평의 내용적 특성이 소비자의 인지된 유용성에 미치는 영향

박윤주(Yoon-Joo Park),김경재(Kyoung-jae Kim) 한국지능정보시스템학회 2017 지능정보연구 Vol.23 No.3

In Internet commerce, consumers are heavily influenced by product reviews written by other users who have already purchased the product. However, as the product reviews accumulate, it takes a lot of time and effort for consumers to individually check the massive number of product reviews. Moreover, product reviews that are written carelessly actually inconvenience consumers. Thus many online vendors provide mechanisms to identify reviews that customers perceive as most helpful (Cao et al. 2011; Mudambi and Schuff 2010). For example, some online retailers, such as Amazon.com and TripAdvisor, allow users to rate the helpfulness of each review, and use this feedback information to rank and re-order them. However, many reviews have only a few feedbacks or no feedback at all, thus making it hard to identify their helpfulness. Also, it takes time to accumulate feedbacks, thus the newly authored reviews do not have enough ones. For example, only 20% of the reviews in Amazon Review Dataset (Mcauley and Leskovec, 2013) have more than 5 reviews (Yan et al, 2014). The purpose of this study is to analyze the factors affecting the usefulness of online product reviews and to derive a forecasting model that selectively provides product reviews that can be helpful to consumers. In order to do this, we extracted the various linguistic, psychological, and perceptual elements included in product reviews by using text-mining techniques and identifying the determinants among these elements that affect the usability of product reviews. In particular, considering that the characteristics of the product reviews and determinants of usability for apparel products (which are experiential products) and electronic products (which are search goods) can differ, the characteristics of the product reviews were compared within each product group and the determinants were established for each. This study used 7,498 apparel product reviews and 106,962 electronic product reviews from Amazon.com. In order to understand a review text, we first extract linguistic and psychological characteristics from review texts such as a word count, the level of emotional tone and analytical thinking embedded in review text using widely adopted text analysis software LIWC (Linguistic Inquiry and Word Count). After then, we explore the descriptive statistics of review text for each category and statistically compare their differences using t-test. Lastly, we regression analysis using the data mining software RapidMiner to find out determinant factors. As a result of comparing and analyzing product review characteristics of electronic products and apparel products, it was found that reviewers used more words as well as longer sentences when writing product reviews for electronic products. As for the content characteristics of the product reviews, it was found that these reviews included many analytic words, carried more clout, and related to the cognitive processes (CogProc) more so than the apparel product reviews, in addition to including many words expressing negative emotions (NegEmo). On the other hand, the apparel product reviews included more personal, authentic, positive emotions (PosEmo) and perceptual processes (Percept) compared to the electronic product reviews. Next, we analyzed the determinants toward the usefulness of the product reviews between the two product groups. As a result, it was found that product reviews with high product ratings from reviewers in both product groups that were perceived as being useful contained a larger number of total words, many expressions involving perceptual processes, and fewer negative emotions. In addition, apparel product reviews with a large number of comparative expressions, a low expertise index, and concise content with fewer words in each sentence were perceived to be useful. In the case of electronic product reviews, those that were analytical with a high expertise index, along with containing many authe

상호 대칭적 만족성을 고려한 온라인 데이트시스템

박윤주(Park Yoon-Joo) 한국지능정보시스템학회 2012 지능정보연구 Vol.18 No.2

최근 추천시스템에 대한 연구는 고객에게 적합한 상품을 추천하는 것에서 진일보하여, 고객이 선호할만한 친구나 배우자를 추천해주는 인맥 연결분야로 확장되고 있다. 이러한 인맥 연결의 주요한 분야로 미혼남녀를 소개시키는 온라인 데이트시스템을 생각할 수 있다. 본 연구는 사용자에게 적합한 데이트 상대를 추천해주는 온라인 매칭시스템을 제안한다. 제안된 시스템은 기존의 상품추천 시스템과는 다르게, 추천 받는 고객뿐만 아니라, 추천 되는 상대방의 호감도를 함께 고려하여, 양자가 상호 대칭적인 만족도를 갖도록 설계하였다. 또한, 인기인에게 추천이 편중되거나, 비인기인들이 추천에서 소외되지 않고, 시스템 참여자들이 전체적으로 일관된 추천 만족도를 가질 수 있도록 하였다. 본 연구에서 제안한 매칭 시스템은 Mutually Beneficial Matching(MBM) 시스템이라 명명하였으며, 이를 다른 두 일반적인 매칭 기법인 Preference-Based Matching(PBM) 기법 및 Arithmetic Mean-Based Matching(AMM)기법과 비교하여 성능평가를 수행하였다. 즉, 위의 세 가지 기법을 Java를 사용하여 prototype으로 구현한 후, 가상의 미혼남녀 200명의 데이터에 적용하여 비교?분석하였다. 그 결과, 제안된 MBM 기법이 PBM 및 AMM 기법에 비하여 통계적으로 유의하게 높은 상호호감도(Mutual Preference)를 보임을 알 수 있었고, 호감도의 대칭성(Symmetric Ratio)도 대부분의 경우 높게 도출됨을 확인하였다. 뿐만 아니라, 제안된 MBM 기법은 PBM 기법보다 추천에서 소외된 고객 수(Number of Outsiders)가 적어서, 매칭 pool안의 사용자들에게 전체적으로 호혜적이고 일관된 추천서비스를 제공할 수 있을 것으로 기대된다.

데이터마이닝을 활용한 사랑의 형태에 따른 연인관계 몰입수준 및 관계 지속여부 예측

박윤주(Yoon-Joo Park) 한국지능정보시스템학회 2016 지능정보연구 Vol.22 No.4

Successful relationship with loving partners is one of the most important factors in life. In psychology, there have been some previous researches studying the factors influencing romantic relationships. However, most of these researches were performed based on statistical analysis; thus they have limitations in analyzing complex non-linear relationships or rules based reasoning. This research analyzes commitment and persistence in heterosexual involvement according to styles of loving using a datamining technique as well as statistical methods. In this research, we consider six different styles of loving - eros, ludus, stroge, pragma, mania and agape which influence romantic relationships between lovers, besides the factors suggested by the previous researches. These six types of love are defined by Lee (1977) as follows: eros is romantic, passionate love; ludus is a game-playing or uncommitted love; storge is a slow developing, friendship-based love; pragma is a pragmatic, practical, mutually beneficial relationship; mania is an obsessive or possessive love and, lastly, agape is a gentle, caring, giving type of love, brotherly love, not concerned with the self. In order to do this research, data from 105 heterosexual couples were collected. Using the data, a linear regression method was first performed to find out the important factors associated with a commitment to partners. The result shows that satisfaction, eros and agape are significant factors associated with the commitment level for both male and female. Interestingly, in male cases, agape has a greater effect on commitment than eros. On the other hand, in female cases, eros is a more significant factor than agape to commitment. In addition to that, investment of the male is also crucial factor for male commitment. Next, decision tree analysis was performed to find out the characteristics of high commitment couples and low commitment couples. In order to build decision tree models in this experiment, decision tree operator in the datamining tool, Rapid Miner was used. The experimental result shows that males having a high satisfaction level in relationship show a high commitment level. However, even though a male may not have a high satisfaction level, if he has made a lot of financial or mental investment in relationship, and his partner shows him a certain amount of agape, then he also shows a high commitment level to the female. In the case of female, a women having a high eros and satisfaction level shows a high commitment level. Otherwise, even though a female may not have a high satisfaction level, if her partner shows a certain amount of mania then the female also shows a high commitment level. Finally, this research built a prediction model to establish whether the relationship will persist or break up using a decision tree. The result shows that the most important factor influencing to the break up is a narcissistic tendency of the male. In addition to that, satisfaction, investment and mania of both male and female also affect a break up. Interestingly, while the mania level of a male works positively to maintain the relationship, that of a female has a negative influence. The contribution of this research is adopting a new technique of analysis using a datamining method for psychology. In addition, the results of this research can provide useful advice to couples for building a harmonious relationship with each other. This research has several limitations. First, the experimental data was sampled based on oversampling technique to balance the size of each classes. Thus, it has a limitation of evaluating performances of the predictive models objectively. Second, the result data, whether the relationship persists of not, was collected relatively in short periods - 6 months after the initial data collection. Lastly, most of the respondents of the survey is in their 20s.

소비자의 특성이 온라인 상품평 활용의도에 미치는 영향

박윤주(Yoon Joo Park) 한국IT서비스학회 2017 한국IT서비스학회지 Vol.16 No.2

This study analyzes the variable consumer characteristics that influence the intention to use online product reviews. In online e-commerce, where purchases take place without consumers seeing the products in person, the product reviews left by other consumers who have already purchased the product are believed to be valuable information. However, when different consumers read the same product review, their responses to it may vary. This study analyzes the characteristics of consumers who utilize product reviews for their purchases. Consumer characteristics are categorized into personal information, personality, purchasing tendency , and experience related to product reviews. These factors are examined to see if they have direct or indirect effects on a consumer’s intention to use product reviews when making online purchases. We surveyed a total of 240 consumers who had experience using e-commerce and knew about online product reviews. Once the data was collected, path analysis was conducted using the statistics tool AMOS. The study results reveal that consumers who are female, extroverted, and have higher price sensitivity think that product reviews left by others are useful, and that this “perceived usefulness” has a positive effect on the intention to use product reviews for making online purchasing decisions. In addition, consumers who are agreeable to others, have high brand sensitivity, and who have left numerous reviews themselves demonstrated the tendency to trust reviews left by others more. Thus, we conclude that this “perceived reliability” makes it more likely that a consumer will use product reviews when making online purchasing decisions. Future research can be done to develop this study further by analyzing whether providing online product reviews corresponding to the personal characteristics of consumers enhances the effect of product reviews on online purchasing decisions.

온라인마트의 유통포장 형태별 소비자 선호 및 영향요인

박윤주(Yoon-Joo Park) 한국경영학회 2021 經營學硏究 Vol.50 No.4

The online grocery shopping is rapidly growing due to COVID-19, which results in large volumes of delivery packaging waste. Many online supermarkets aware this environmental problem nowadays and deliver goods in recyclable “paper bags/boxes” or reusable “insulated bags” in Korea. However, controversies over both types of delivery packaging in terms of eco-friendliness continue. This study comparatively analyzed consumer preferences for three types of packaging, namely “paper bags/boxes,” “supermarket insulated bags,” and newly suggested “personally owned insulated bags” in this paper and analyzed the factors affecting to them. The data of 218 consumers who regularly buy fresh food online were collected by a survey conducted through a July 2020. By analyzing this data using ANOVA and linear regression analysis, we found that consumer most prefer to receive groceries using suggested “personally owned insulated bags” than the other two types. Also, “perceived importance of temperature maintenance” and “perceived eco-friendliness” had statistically significant effects on preference by packaging type. This result implies that “personally owned insulated bags/coolers” can be the eco-friendly alternative packaging method for online grocery market, thus if online supermarkets add this packaging type, they will be able to improve a green corporate image as well as improve consumer satisfaction.