• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.496-499
• /
• 2019

The study aims to collect detailed movie information from box office of the Korea Film Council and data on Naver's movie ratings to analyze important factors affecting the movie's popularity based on movie audiences and ratings.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2011.11a
• /
• pp.1095-1096
• /
• 2011

최근 스마트폰 사용자가 급속히 증가함에 따라서 다양한 종류의 어플리케이션들이 개발되고 있으며, 특히 필요한 정보를 편리하게 제공하는 어플리케이션들이 많이 개발되고 있다. 본 논문은 영화 관련 정보를 효과적으로 제공하는 어플리케이션의 설계 및 개발을 목표로 진행되었다. 영화 순위 어플리케이션은 예매 순위를 제공하는 맥스무비와 CGV, 그리고 한국 박스오피스 순위를 제공하는 네이버무비의 순위를 사용자들이 편리하게 한 번에 비교할 수 있는 어플리케이션을 설계하고 구현하였다. 또한 Database 서버 기술을 활용하여 정해진 시간마다 순위정보를 업데이트함으로써 사용자들에게 최신의 정보를 제공하고 각 영화별 자세한 정보를 네이버무비, 맥스무비, CGV로부터 제공받을 수 있도록 구현하였다.

• Cartoon and Animation Studies
• /
• s.49
• /
• pp.399-423
• /
• 2017

When thinking about the essence of color, green is the image that is settled on the plant itself, and it is also the color shining by the sun. Physics tries to explain green of plants in the correlation of sun and moon, and the history of art contemplates how it is expressed on the canvas. The film attempts to represent a realistic green using camera or computer specific to the medium. Many color theorists who explore the essence of color do not trust the mechanical and reductive scientific colorism that began in Newton and seek a completely different way of exploring in psychology and aesthetics. Like Goethe, who opposed Newton, they do not distinguish the human as subject and the color as object, but focus on the internal grounds of the relationship between subject and color. The representation of color in film is a combination of physics and art. Film color can be expanded to the spiritual dimension beyond the previous emotional and aesthetic, even beyond the physical and mental domains.

• The Korean Journal of Applied Statistics
• /
• v.29 no.7
• /
• pp.1257-1270
• /
• 2016

This study deals with the prediction of the total number of movie audiences as a measure for the box office. Prediction is performed by classification techniques of data mining such as decision tree, multilayer perceptron(MLP) neural network model, multinomial logit model, and support vector machine over time such as before movie release, release day, after release one week, and after release two weeks. Predictors used are: online word-of-mouth(OWOM) variables such as the portal movie rating, the number of the portal movie rater, and blog; in addition, other variables include showing the inherent properties of the film (such as nationality, grade, release month, release season, directors, actors, distributors, the number of audiences, and screens). When using 10-fold cross validation technique, the accuracy of the neural network model showed more than 90 % higher predictability before movie release. In addition, it can be seen that the accuracy of the prediction increases by adding estimates of the final OWOM variables as predictors.

• Journal of Digital Convergence
• /
• v.15 no.8
• /
• pp.375-381
• /
• 2017

The America film, Beauty and Beast has grossed over 4,273,401 after being released for 21 days. The growth of movie profit in the video market is also developing rapidly. In this paper, we will focus on the PLF(Premium Large-Format) video technology, because PLF video technology can help audience to enhance the sense of 'immersion' and enjoy a different visual feast. In PLF video technology, IMAX, screen X, 360 degrees circular screen are the most important formats. By comparative analysis of these 3 formats, the biggest difference is their number of screens and appearance. Based on the result we can understand the 3 kinds of PLF platforms better and help us to make a choice between them. In addition, further research about the manufacture method of PLF technology will be discussed.

• The Journal of the Korea Contents Association
• /
• v.21 no.2
• /
• pp.1-14
• /
• 2021

Recently, crowdfunding platforms have received attention as one of the content investment platforms for the public. This research attempts to explore the influencing factors on the success of movie euqity crowdfunding project. We use 'number of texts', 'number of images', 'star influence power', 'IP-based movie project', 'movie production stage', 'box office prediction', 'investment capital ratio', 'amount of surplus available investment', 'profit calculation method' and 'minimum investment amount' as independent variables. And we examined how these factors affects the achievement rate of movie crowdfunding. As a result of multiple regression analysis, 'movie production stage', 'investment capital ratio', 'amount of surplus available investment' and 'profit calculation method' have a significant effect on the crowdfunding achievement rate. In addition, the results of this research can be used for reference when planning film crowdfunding projects.

• The Journal of the Korea Contents Association
• /
• v.22 no.8
• /
• pp.170-179
• /
• 2022

In the theater-based movie industry, it is known that the diversity of movie consumption is hindered due to concentrated consumption. This study extends the existing discussions on the concentration of movie consumption in theaters to the concentration of online movie consumption. In addition, the study analyzes the impact of Covid-19 pandemic on movie consumption and the concentration thereof. For analysis, panel data for the period from 2012 through 2021 were collected by utilizing the box office data of the Korean Film Council. As a result of the analysis, it was found that the concentration of consumption by movie, country, and genre was higher in theaters than online. Further, the concentration of movie consumption has increased both in theaters and online until the outbreak of Covid-19 pandemic. During the Covid-19 pandemic period, the size of consumption has decreased both in theaters and online, while the concentration of consumption by movie online has increased. The result of this study implies a need for policy-level efforts to convert the trend of consumption concentration for long-term development of the movie industry with secured diversity of movie consumption, and for this, the study suggests that the use of online media would be useful.

• KSCI Review
• /
• v.14 no.2
• /
• pp.123-127
• /
• 2006

In this paper, we designed and implemented home gateway system for remote control of home appliances and devices using cellular phone. The system communicate home devices through Zigbee protocol and home server based on Linux operating system communicate cellular phone through external networks. We expect that the system apply various fields as home automations, home network, smart offices, and ubiquious environments.

• Journal of Intelligence and Information Systems
• /
• v.24 no.4
• /
• pp.67-83
• /
• 2018

The Korean film industry with significant increase every year exceeded the number of cumulative audiences of 200 million people in 2013 finally. However, starting from 2015 the Korean film industry entered a period of low growth and experienced a negative growth after all in 2016. To overcome such difficulty, stakeholders like production company, distribution company, multiplex have attempted to maximize the market returns using strategies of predicting change of market and of responding to such market change immediately. Since a film is classified as one of experiential products, it is not easy to predict a box office record and the initial number of audiences before the film is released. And also, the number of audiences fluctuates with a variety of factors after the film is released. So, the production company and distribution company try to be guaranteed the number of screens at the opining time of a newly released by multiplex chains. However, the multiplex chains tend to open the screening schedule during only a week and then determine the number of screening of the forthcoming week based on the box office record and the evaluation of audiences. Many previous researches have conducted to deal with the prediction of box office records of films. In the early stage, the researches attempted to identify factors affecting the box office record. And nowadays, many studies have tried to apply various analytic techniques to the factors identified previously in order to improve the accuracy of prediction and to explain the effect of each factor instead of identifying new factors affecting the box office record. However, most of previous researches have limitations in that they used the total number of audiences from the opening to the end as a target variable, and this makes it difficult to predict and respond to the demand of market which changes dynamically. Therefore, the purpose of this study is to predict the weekly number of audiences of a newly released film so that the stakeholder can flexibly and elastically respond to the change of the number of audiences in the film. To that end, we considered the factors used in the previous studies affecting box office and developed new factors not used in previous studies such as the order of opening of movies, dynamics of sales. Along with the comprehensive factors, we used the machine learning method such as Random Forest, Multi Layer Perception, Support Vector Machine, and Naive Bays, to predict the number of cumulative visitors from the first week after a film release to the third week. At the point of the first and the second week, we predicted the cumulative number of visitors of the forthcoming week for a released film. And at the point of the third week, we predict the total number of visitors of the film. In addition, we predicted the total number of cumulative visitors also at the point of the both first week and second week using the same factors. As a result, we found the accuracy of predicting the number of visitors at the forthcoming week was higher than that of predicting the total number of them in all of three weeks, and also the accuracy of the Random Forest was the highest among the machine learning methods we used. This study has implications in that this study 1) considered various factors comprehensively which affect the box office record and merely addressed by other previous researches such as the weekly rating of audiences after release, the weekly rank of the film after release, and the weekly sales share after release, and 2) tried to predict and respond to the demand of market which changes dynamically by suggesting models which predicts the weekly number of audiences of newly released films so that the stakeholders can flexibly and elastically respond to the change of the number of audiences in the film.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2007.11a
• /
• pp.119-122
• /
• 2007

TRUTEC building, which is located at DMC B block is zone, is just one the office building in Soeul. TRUTEC building is designed by Barkow Leibinger Architeken in Germany, has 5 stories under and 12 stories above and has been finished with the unique three dimensional curtain wall unit. Big trial to make unique elevation succeeded as getting rid of the typical plain curtain wall unit. In addition, aluminum bars are treated by the latest CNC machine in order to achieve 3D section. Construction of curtain wall is highly focused from the moment of contract to keep the schedule because the contract period is 18 months. Regular design meeting and technical meeting between stakeholders including construction manager, designer, engineer, consultant and so on have been held during the construction to minimize the risks from the unique elevation and trial. Step by step mock-up test (design mock-up and visual mock-up on site) has been performed before functional mock-up test.