• Journal of the Korean Data and Information Science Society
• /
• v.26 no.6
• /
• pp.1353-1366
• /
• 2015

These days Shewhart control chart for evaluating stability of the process is widely used in various field. But it must follow strict assumption of distribution. In real-life problems, this assumption is often violated when many quality characteristics follow non-normal distribution. Moreover, it is more serious in multivariate quality characteristics. To overcome this problem, many researchers have studied the non-parametric control charts. Recently, SVDD (Support Vector Data Description) control chart based on RBF (Radial Basis Function) Kernel, which is called K-chart, determines description of data region on in-control process and is used in various field. But it is important to select kernel parameter or etc. in order to apply the K-chart and they must be predetermined. For this, many researchers use grid search for optimizing parameters. But it has some problems such as selecting search range, calculating cost and time, etc. In this paper, we research the efficiency of selecting parameter regions as data structure vary via simulation study and propose a new method for determining parameters so that it can be easily used and discuss a robust choice of parameters for various data structures. In addition, we apply it on the real example and evaluate its performance.

• Journal of Digital Convergence
• /
• v.19 no.2
• /
• pp.151-160
• /
• 2021

The purpose of this study is to classify online shopping malls into total transaction amount and transaction amount by product, and compare them to find synchronism. The data used in this study were collected from KOSIS for Food Services, Home Appliances·Electronics·Communication devices, Food & Beverages, House_Goods, Clothing, Computers & Peripheral Devices. The analysis period is a total of 44 monthly data from January 2017 to August 2020. In descriptive statistics, variability is relatively very stable in the case of food service, but is large in the case of clothing. In the correlation analysis, the total transaction amount shows a certain level of correlation with each product. In the analysis of the increase rate, Food Service increased by 1,039%, Home Appliances·Electronics·Communication devices increased by 325%, Food & Beverages increased by 296% and House Goods by 250%, but Clothing decreased slightly to 92.56%. In the Scatter Charts analysis, the distribution of Total transaction amount & House Goods, Total transaction amount & Home Appliances·Electronics·Communication devices is generally upward, showing a high level of synchronization. Due to Corona 19, we will have to continue our efforts to provide speed, stability, convenience and various services in preparation for the increase in transaction volume of online shopping malls.

• Journal of Korea Entertainment Industry Association
• /
• v.15 no.1
• /
• pp.191-197
• /
• 2021

This study studied the effect of visual difference on balance and walking ability in college students' life care. The study was conducted on 45 students attending H University in G City, divided into control groups (n=22, not wearing glasses and contact lenses) and experimental groups (n=23, wearing glasses and contact lenses). In not wearing glasses and contact lenses, the subjects measured visual acuity with logMAR charts, evaluated their balance ability with BIOrescue, and evaluated walking ability with G-Walk. The results of this study showed that the experimental group had statistically significantly lower vision than the control group in the visual acuity measurement(p<.01). Static balance ability was statistically significant increase in center of mass movement of the right foot in the experimental group compared to the control group(p<.05). Dynamic balance ability was statistically significantly reduce in limit of stability for groups of experiments compared to control group(p<.05). The walking ability was statistically significantly shorter on step length and stride length, swing of the experimental group compared to the control group in the right foot(p<.05). The findings showed that the visual difference in university students reduces balance and walking ability. Therefore, university students with poor visual acuity are recommended to correct of visual acuity to prevent collision and falls in their daily lives.

• Journal of Platform Technology
• /
• v.12 no.1
• /
• pp.55-66
• /
• 2024

The K-POP market has become influential not only in culture but also in society as a whole, including diplomacy and environmental movements. As a result, various papers have been conducted based on machine learning to identify the success factors of idols by utilizing traditional data such as music and recordings. However, there is a limitation that previous studies have not reflected the influence of new media platforms such as Instagram releases, YouTube shorts, TikTok, Twitter, etc. on the popularity of idols. Therefore, it is difficult to clarify the causal relationship of recent idol success factors because the existing studies do not consider the daily changing media trends. To solve these problems, this paper proposes a data collection system and analysis methodology for idol-related data. By developing a container-based real-time data collection automation system that reflects the specificity of idol data, we secure the stability and scalability of idol data collection and compare and analyze the clusters of successful idols through a K-Means clustering-based outlier detection model. As a result, we were able to identify commonalities among successful idols such as gender, time of success after album release, and association with new media. Through this, it is expected that we can finally plan optimal comeback promotions for each idol, album type, and comeback period to improve the chances of idol success.