• Journal of Korea Game Society
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• v.19 no.4
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• pp.27-36
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• 2019

Approaches to find hidden values using various and enormous amount of data are on the rise. As big data processing becomes easier, companies directly collects data generated from users and analyzes as necessary to produce insights. User-based data are utilized to predict patterns of gameplay, in-game symptom, eventually enhancing gaming. Accordingly, in this study, we tried to analyze the gaming strategy and user activity patterns utilizing Battlegrounds in-game data to detect the in-game hack.

• Annual Conference of KIPS
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• 2012.11a
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• pp.931-933
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• 2012

IT기술 및 인터넷의 발전으로 시 공간의 제약 없이 다양한 서비스를 제공받을 수 있는 클라우드 컴퓨팅 기술이 등장하게 되었다. 이로 인해 기존 데이터센터를 가상화 및 클라우드 컴퓨팅 기술과 융합한 클라우드 데이터센터로 전환하여 개인용 클라우드 서비스(Private Cloud Service)나 외부 기업 등에게 아웃소싱 하여 공개형 클라우드 서비스(Public Cloud Service)를 제공하고 있다. 그러나 클라우드 환경은 기존의 IT환경에서 발생한 악성코드를 이용한 데이터 해킹 및 유출과 같은 보안 위협이 존재하며, 새로운 보안 위협들이 발생하고 있다. 따라서 본 논문에서는 안전한 클라우드 데이터센터 구축을 위한 보안요구사항에 대해서 분석한다.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.2
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• pp.127-139
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• 2023

Compensation and pay dispersion has been rigorously scrutinized to investigate their impacts on productivity and organizational performance. However, it is difficult to find a systematic study on the systematic dynamics of compensation and pay dispersion effects specifically in the context of Korean venture companies. Venture companies should manage their organizational resources efficiently to maximize their organizational performance through pay structure by efficiently managing the inherent resources. However, we acknowledge that empirical studies on how compensation and pay dispersion affect organizational productivity and performance are rare to find in the Korean context. To overcome this supplement limitation, this study hypothesized that (1) pay and members' productivity are positively related, (2) pay dispersion and organizational productivity have U shaped relationship, and (3) organizational productivity mediates the positive relationship between compensation and organizational performance. Venture companies and professional sports teams share manifold common characteristics such as size, financial circumstances, and operational objectives. We collect 9 seasons (2013~2014 - 2021~2022) of 10 teams' data of Korean Basketball League teams to test our hypotheses. Methodologically, the assessment of our analysis is rendered with PROCESS macro model 58. The statistical results showed that all hypotheses are statistically supported. This study explains how compensation and pay dispersion affect organizational productivity and performance of venture companies in Korea.

• Journal of Korea Society of Industrial Information Systems
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• v.21 no.2
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• pp.93-105
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• 2016

Many companies have attempted to strengthen competitiveness by introducing information technology ERP system in a changing and global competitive business environment. However, ERP systems can not meet all the requirements that occur in the enterprise. After the system introduced, When it operates with existing systems or with new systems, the need for strong interface technology along with the appearance of the ERP have been gradually increased. In this paper, we selected SAP R/3 system as a typical ERP system. Among the modules of SAP R/3, MM module was chosen. Interface technologies for SAP R/3 Systems integrate mulltiple R/3 systems and non R/3 systems, and play important roles in expanding the company's business process. VBA approach was implemented as the data interface design between SAP R/3 and other systems. It proved to reduce the feeling of resistance from user's point of view. It also proved to improve the operational efficiency in a convenient input and output manner of purchase request data.

• Journal of Convergence Society for SMB
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• v.1 no.1
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• pp.39-44
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• 2011

Recently, due to people's incontinent use all over the world, fossil fuels such as coal, oil, and natural gas were nearly to be exhausted and also causes serious environment pollutions. Therefore, there is a strong need to develop solar, wind, hydro, biomass, geothermal to replace fossil fuels to prevent suffering from above problems. Wish advances in sensor technology, such data is collected as a kind of stream data which arrives in an online manner so that it is characterized as high- speed, real-time and unbounded and it requires fast data processing to get the up-to-date results. Therefore, the traditional data processing techniques are not fit to deal with stream data. In this paper, we propose a kalman filter-based algorithm to process renewable stream data.

• Journal of Technology Innovation
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• v.22 no.1
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• pp.1-22
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• 2014

R&D investment also has a gestation period similar to other investments in economics. The gestation period originates from time lag effect of input and output. Thus it is necessary to consider time lag effects when analyzing the relationship between firms' R&D investment and R&D performance. The main objective of this research is to estimate the length of time lag effect of R&D investment. The Almon distribution lag model was applied to estimate the time lag effect. The firm level panel dataset was established from 2002 to 2009. The net value of R&D investment and the number of patent applications were used to measure R&D input and output, respectively. This method found the estimated time lag to be 1~2 years across all datasets. The same analyses were applied to chemical, metal, electronic, exact science, and machinery industries' data. And we found there were differences among sectors in regard to the time lag effect.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.85-92
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• 2020

The purpose of this study is to compare and analyze the differences in employment trends between enterprises and job seekers related to the 4th Industrial Revolution, focusing on the 11 elements of recruitment process. As a method of analysis, a methodology suitable for the convergence research methodology was used by mixing social network analysis and variance analysis, and significant results were derived. First, while large enterprises emphasized organizational culture and job analysis, small enterprises emphasized an interview from the perspective of practitioners. Second, in both manufacturing and service industries, enterprises emphasized interviews and documents, but job seekers emphasized job analysis. Third, the proportion of the recruitment process was found to be greater in the manufacturing industry than in the service industry. Fourth, it was found that enterprises accounted for a larger proportion of the recruitment process than job seekers. This showed an interaction effect between the subject and the industry sector. Therefore, the evaluation of the recruitment process between enterprises and job seekers was found to be very different.

• Journal of Convergence Society for SMB
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• v.6 no.3
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• pp.79-83
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• 2016

The purpose of this study is to provide customized information to student which study and live in a university campus. In this study, we collect internal data of campus and external data on the Internet such as the blog or SNS and, then store and process them. After that, we propose a system for providing individual students one-to-one marketing by analyzing these data in detail. This system analyzes purchase history information and the attendance of the building, and then transmits the coupon and information individually according to the pattern to the student's mobile phone.

• Journal of the Korean Data and Information Science Society
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• v.25 no.6
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• pp.1253-1262
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• 2014

Regression tree is a tree-structured solution in which a simple regression model is fitted to the data in each node made by recursive partitioning of predictor space. There have been many efforts to apply tree algorithms to various regression problems like logistic regression and quantile regression. Recently, algorithms have been expanded to the panel data analysis such as RE-EM algorithm by Sela and Simonoff (2012), and extension of GUIDE by Loh and Zheng (2013). The algorithms are briefly introduced and prediction accuracy of three methods are compared in this paper. In general, RE-EM shows good prediction accuracy with least MSE's in the simulation study. A RE-EM tree fitted to business survey index (BSI) panel data shows that sales BSI is the main factor which affects business entrepreneurs' economic sentiment. The economic sentiment BSI of non-manufacturing industries is higher than that of manufacturing ones among the relatively high sales group.

• Journal of Platform Technology
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• v.8 no.4
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• pp.38-46
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• 2020

This study describes how to build a security control system using an open source big data solution so that private companies can build an overall security control infrastructure. In particular, the infrastructure was built using the Elastic Stack, one of the free open source big data analysis solutions, as a way to shorten the cost and development time when building a security control system. A comparative experiment was conducted. In addition, as a result of comparing and analyzing the functions, convenience, service and technical support of the two solution, it was found that the Elastic Stack has advantages in the security control of Big Data in terms of community and open solution. Using the Elastic Stack, security logs were collected, analyzed, and visualized step by step to create a dashboard, input large logs, and measure the search speed. Through this, we discovered the possibility of the Elastic Stack as a big data analysis solution that could replace Splunk.