• Journal of the military operations research society of Korea
• /
• v.23 no.2
• /
• pp.15-24
• /
• 1997

In this paper we suggested a performance evaluation model for future weapon systems. Weapon Performance Index(WPI) model transform the characteristics of alternatives as indices. We can easily obtain WPIs of alternatives with the model. The highest WPI recommended as the best solution. The performance elements in hierachy for future weapon systems are determined by systems engineering procedure. Priorities in hierachy can be determined through survey of experts engineering procedure. Priorities in hierachy can be determined through survey of experts and statistical analysis. Utility function is formulated as a probability model and utility score is predicted on the basis of historical data about the same category of weapon systems in the world. WPI is calculate from sum of product of priorities and utility scores. The model can be applied to trade-off analysis, cost and effectiveness analysis, war game model.

• Journal of the Korea Convergence Society
• /
• v.10 no.9
• /
• pp.273-281
• /
• 2019

This study aimed to qualify the amount of movement during game-based training and competition by using a GPS and to identify the non-contact injury risk in lower extremities for female field hockey enrolled in Korean national team. A total of 52 players were participated in this study and their GPS data collected during training and competition were averaged for 1 week and 4 weeks. And then, an injury risk in lower extremities was calculated for each category of the amount of movement in GPS variables that were related to non-contact injury. In forwards, the injury risk was the lowest in the moderate-low category of total distance covered and repeated high-intensity effort bout and the high category of high intensity distance for 1 week, but the risk decreased as the amount of high intensity distance increased for 4 weeks. In midfielders, the injury risk was the lowest in the low category of total distance covered, high intensity distance, repeated high-intensity effort bout and deceleration bout for 1 week.

• The Journal of the Korea Contents Association
• /
• v.17 no.2
• /
• pp.160-171
• /
• 2017

This study is intended to study the usage of augmented reality(AR) in the marketing field by classifying them into display and content types and analyzing the typical cases and characteristics. The market for AR has been on the increase and has been a big influence in the marketing field, resulting in the generalization of the term "AR marketing." By analyzing the marketing cases which use AR technology and organizing the frequency of use and characteristics, it is expected to contribute as a basic material for future studies on AR marketing. In this study, AR marketing cases are classified into different categories including display and contents. First, AR display category includes personal computers, mobile, public display, and projection display. AR contents category includes informative content, game contents, virtual experience, and visual effect. While investigating, it was found that the most used type of AR display was mobile, which has the advantage of not being limited by time and place and is also capable of one-on-one marketing with customers. The most used type of AR content was visual effect type, which evokes curiosity and is easily shared among people.

• Journal of Korea Game Society
• /
• v.13 no.3
• /
• pp.55-68
• /
• 2013

This study examined the factors determining experience of flow in mobile social network games. Built upon the literature on flow experience in the Internet and online games, this study classified the determining factors into three categories. The first category is the content factor which includes graphic design, challenge, and incentive; the second is the device factor including ease of access and ease of control; the third is the social factor including social interaction and community activities. A correlation analysis was conducted to examine the association between each of the seven determining factors and flow experience. Additionally, a hierarchical regression analysis was performed to evaluate which of the selected factors would exert a relatively strong influence on experience of flow. Both analyses reached the same conclusions as follows: Graphic design, incentive, and community activities increase flow experience while challenge and ease of control exert little influence on flow experience. In addition, graphic design was the most influential element in determining flow experience, followed by community activities and incentive, respectively.

• Journal of the Korea Society of Computer and Information
• /
• v.20 no.4
• /
• pp.17-23
• /
• 2015

In this paper, we propose a mobile app clustering method using word clusters. Considering the quick change of mobile app trends, the proposed method divides the mobile apps into some semantically similar mobile apps by applying a clustering algorithm to the mobile app set, rather than the predefined category system. In order to alleviate the data sparseness problem in the short mobile app description texts, the proposed method additionally utilizes the unigram, the bigram, the trigram, the cluster of each word. For the purpose of accurately clustering mobile apps, the proposed method manages to avoid exceedingly small or large mobile app clusters by using the word clusters. Experimental results show that the proposed method improves 22.18% from 57.48% to 79.66% on overall accuracy by using the word clusters.

• Journal of Digital Contents Society
• /
• v.18 no.3
• /
• pp.593-598
• /
• 2017

In this paper, the factors that affect the festival satisfaction level were investigated by using the visitors of the 2016 Seoul Rose Festival as study subjects, and by understanding the factors that have high satisfaction levels, the satisfaction levels were evaluated and analyzed through data mining so as to allow an assessment of future festival satisfaction levels. Surveys were conducted on the visitors of the festival and a regression analysis was performed in order to test the goodness of fit of the collected data. Afterwards, data mining was used to analyze the assessment. As a result of the regression data, amenities were identified as affecting the festival satisfaction levels the most; and the data mining analysis results, as well, showed that the most important category affecting the festival satisfaction level was amenity, similar to the regression analysis.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.2
• /
• pp.395-407
• /
• 2016

This study aims to apply the G-theory for estimation of reliability of evaluation scores between raters on Taekwondo Poomsae rating categories. Selecting a number of game days and raters as multiple error sources, we analyzed the error sources caused by relative magnitude of error variances of interaction between the factors and proceeded with D-study based on the results of G-study for optimal determination of measurement condition. The results showed below. The estimated outcomes of variance component for accuracy among the Taekwondo Poomsae categories with G-theory showed that impact of error was the biggest influence factor in raters conditions and in order of interaction in subjects and between subjects, also impact of variance component estimation error on expression category was the major influence factor in interaction and in order of the between subjects and raters. Finally, the result of generalizability coefficient estimation via D-study showed that measurement condition of optimal level depend on the number of raters was 8 persons of raters on accuracy category, and stable reliability on expression category was gained when the raters were 7 persons.

• Information Systems Review
• /
• v.12 no.3
• /
• pp.75-88
• /
• 2010

Business models in open market systems targeting smart phone users are determined by several important factors. First, by providing developers efficient technical platforms, it contains a setting for developers to learn, apply and improve the skills relating to the product category easily while they stay beyond a corporate boundary. Second, by the first condition, a huge population of talented developers becomes to join a specific open market where will invite more customers to use their applications. Hence it will attract more and more developer participants who will finally give a rise to a persistent market growth. Third, the evaluation system between platform providers and application producers, and one between application producers and application users may underlie the trust relationships between them. The research conducted a multiple embedded case study to test the success factors of open market based business models. It focused on smart phone game communities that have installed user evaluation, and feedback systems. The user innovation empowerment model within the social game networks has highlighted the theories on the roles and characteristics of lead users, and lead user network behaviors for future NPD participations.

• The Korean Journal of Applied Statistics
• /
• v.21 no.3
• /
• pp.455-468
• /
• 2008

Based on the huge baseball game records, the steal plays an important role to affect the result of games. For the research about success or failure of the steal in baseball games, logistic regression models are developed based on 2007 Korean professional baseball games. The analyses of logistic regression models are compared of those of the discriminant models. It is found that the performance of the logistic regression analysis is more efficient than that of the discriminant analysis. Also, we consider an alternative logistic regression model based on categorical data which are transformed from uneasy obtainable continuous data.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.2
• /
• pp.8-16
• /
• 2015

How to measure and evaluate the performance of managing a store? Although it is important for a retailer to execute good management in a store, there are few efficient measurement tools and methods for In-store management. Also few people are trying to deal with variety of goods (number of categories), depth of a catagory (number of stock-keeping units within a category), and stock level (the number of individual items of a particular SKU) in a store. To solve the problem, this paper suggests the Customer-Retailer Collaboration (CRC) model that utilizes Gamification. By embedding gaming elements, the store management activities can be viewed as more game-like processes. Customers find some problems they encountered in the store and send the related signals via mobile APP, and the relevant store personnel copes with the signals. As the return for their collaboration, they both will obtain points and badge. This paper designs the CRC model and shows the flow of the model briefly.