2015, Vol.10, No.4

Journal of Knowledge Information Technology and Systems 2023 KCI Impact Factor : 0.89

pISSN : 1975-7700 / eISSN : 2734-0570
https://journal.kci.go.kr/kkits

Korea game makers operating in China have adopted the P2P(Pay to Play) business models which have to pay a certain amount each month by user. However, as casual games become popular, P2P model was gradually disappeared and other monetization model (F2P, Free to Play) began to receive attention. The majority of Korea research papers for the Chinese game market have focused on online games. This paper investigated the F2P revenue model from the perspective of game industry and examined what makes F2P users in China have purchasing intention. The major findings are summarized as follows. First, regression analysis showed that benefit, expectation, self-presentation, challenge and social interaction have significant effect on flow of Chinese F2P game users. Second, self-presentation and challenge had a strong significant impact to purchasing intention. The implications based on the results of analysis of research questionnaires are like following. First, game developers should place the elements which can give fun and interesting in the game around. Second, the F2P game should be more focused on user interface to improve interaction. Third, game designer should display the winning rate or the missions of level to inspire challenges of players. Lastly, game designer must understand the Graphics preference of Chinese users.

Recently studies for commercializing robot have been actively conducted while robots are being used in various area such as military, medical and education. Since the end of 1970s when welding robot was imported from abroad, robots have been applied to industry sites along with technology development centered on robots in manufacturing industry as major industries like automobile, electronics and semiconductor have grown up. Before selling robot products in the market, appraisal and verification of its performance should be completed. Studies on way of evaluating face recognition performance by intelligent robots have been conducted a lot. High resolution image LED monitor printing is appraised to be the best evaluation model. In order to use face recognition performance evaluation method, images DB of high resolution are necessary. It’s because face images similar to real face can be obtained only when face image of high resolution is printed out in high resolution LED monitor. Most of existing face images constructed in DB is low definition face images and we can say we can’t use this DB because there is much difference from real face when it is printed out in the monitor. This thesis will describe how to produce tool and DB for high resolution face images. The result of experiment shows high resolution image DB can be created.

Improvement of human friendly subsurface environment is increasing sharply because poor urban environment has been extended to subsurface environment through recent rapid Industrialization. In many countries throughout the world, reducing distribution coast and the amount of greenhouse gas emission movement is a trend by building plant cultivation system in metropolitan area instead of rural environment and a lot of attention is on plant factory system without boundary of natural environment by artificial control growth and development of plant. Great interest is on factory a like plant factory system that would have automated cultivating system without limit of weather, season and space with the development of optimized environment control system such as LED light and artificially controlling plant cultivating environment to control light, temperature, humidity, CO2 density, wind and nutrient solution within the limited environment. The objective of thesis is to reduce necessary energy by connects and test with PLC and embedded board to make the plant Factory system industrialized also to operate the plant cultivation system efficiently by providing optimization of plant factory system.