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빅 데이터를 통해 본 일본 콘텐츠 수용 양상의 변화:<가면라이더> 시리즈에 대한 인식을 중심으로
하성호 고려대학교 글로벌일본연구원 2023 일본연구 Vol.40 No.-
Through social big data, this study investigated the perception of Korean Internet users of the Japanese SF drama <Kamen Rider> series, which has been aired for a long time in Korea. As an analysis method, from 2004 to 2013, posts found in the search word “Kamen Rider” were collected as data among posts posted on Naver blogs and cafes, and analysis was conducted focusing on text mining techniques and original data tracking. As a result of keyword frequency analysis, the following trends were revealed in Naver blogs and cafes about <Kamen Rider>. First of all, in the blog, there was a lot of interest in the latest <Kamen Rider> series being aired in Japan, while in the cafe, there was more interest in the series that was already aired in Japan but is being aired in Korea. This seems to be because blogs have a great desire for the latest information on “Kamen Rider,” while in communities such as cafes, works regularly aired on cable TV could become a topic of sympathy. In addition, since the 2010s, both cafes and blogs have seen more comments (reviews, second-hand transactions, etc.) on <Kamen Rider>-related products such as toys, which is consistent with the original production intention of children's dramas (securing school profits from selling related products). The creation of this trend can be said to be the basis for the continued domestic airing of the <Kamen Rider> series to this day. As a result of the analysis focusing on the period of increase in the collection of cafe posts, it was found that there were four major periods of increase between 2004 and 2013. After tracking the original data, the factors that led to the increase in posts gradually changed from information about <Kamen Rider> dramas to contents produced by audiences such as fan fiction. In addition, cafes where posts are collected tended to expand from specialized filming drama communities such as <Kamen Rider> to various subculture communities, and further to communities where children's guardians gather (parent communities, second-hand transactions communities, etc.).
브로민화 수은 (I)(Hg₂Br₂) 물리적 증착공정의 2차원 밀폐공간에서 이중확산 자연대류에서의 물질전달 연구 : Part II. 물질전달
하성호 한국결정성장학회 2023 한국결정성장학회지 Vol.33 No.4
The average Nusselt numbers in the source and crystal region for the variation of thermal Grashof number (Grₜ) in the range of 2.31×10⁴≤Grₜ≤4.68×10⁴ are obtained through numerical simulations. It is shown the average Nusselt number in the crystal region is more than twice as large as the average Nusselt number in the source region. The average Nusselt number in the source region shows an increasing tendency with increasing the thermal Grashof number, Grₜ, while the average Nusselt number in the crystal region shows a decreasing tendency with increasing thermal Grashof number, Grₜ. For the variation of the solutal Grashof number (Grₛ) in the range of 3.28×10⁵≤Grs≤4.43×10⁵, the average Sherwood number in the source region and crystal region tends to decrease as the solutal Grashof number, Grₛ increases. The average Sherwood number in the crystal region is about four times greater than the average Sherwood number in the source region. 2.31×10⁴≤Grₜ≤4.68×10⁴의 범위에서 온도 Grashof 수(Grₜ)의 변화에 대하여, 소스와 결정영역에서의 평균 Nusselt수를 나타내고 있다 . 결정영역에서의 평균 Nusselt 수가 소스영역에서의 평균 Nusselt 수 보다 2배 이상 큰 것으로 나타나고 있다. 소스영역에서의 평균 Nusselt 수는 온도 Grashof 수(Grₜ)에 대하여, 증가하는 경향을 보여주고 있으며, 반면에 결정영역에서의 평균 Nusselt 수는 온도 Grashof 수(Grₜ)에 대하여, 감소하는 경향을 나타나고 있다. 3.28×10⁵≤Grₛ≤4.43×10⁵의 범위에서 농도 Grashof 수(Grₛ)의 변화에 대하여, 소스와 결정영역에서의 평균 Sherwood 수를 나타내고 있다. 소스영역과 결정영역에서의 평균 Sherwood 수는 농도 Grashof 수(Grₛ)가 증가함에 따라 , 감소하는 경향을 보이고 있다. 결정영역에서의 평균 Sherwood 수는 소스영역에서의 평균 Sherwood 수보다 약 4배 정도 크다.
하성호,백경훈 한국경영과학회 2004 經營 科學 Vol.21 No.3
This study analyzes customer buying-behavior patterns in a department store as time goes on, and predicts moving patterns of its customers. Through them, it suggests in this paper short-term and long-term marketing promotion strategies. RFM techniques are utilized for customer segmentation. Customers are clustered by using the Kohonen's Self Organizing Map as a method of data mining techniques. Then C5.0, a decision tree analysis technique, is used to predict moving patterns of customers. Using real world data, this study evaluates the prediction accuracy of predictive models.
하성호,박은희 한국인터넷전자상거래학회 2006 인터넷전자상거래연구 Vol.6 No.2
…Web sites built on the Web become one of the most popular communication techniques in the recent years. In fact good business opportunities exist on the Web and the benefit from business activities on the Web is increasing rapidly. However, even though there are strong evidences that the Internet is a useful way of doing business, there is hardly any information on how corporate Websites containing content and design items are designed, and on which items much benefit current Korean corporations. From this point of view, the purposes of this study are: first, to find the similarities and differences of content and design items of each Website through investigating on the leading corporations in Korea; second, to identify the influence of corporate class(large, high-tech, or small-and-medium-sized), industry classification, or regional factor on the items; third, to establish an effective guide for constructing profitable corporate Websites. The Websites representing 300 enterprises were chosen as samples.