• The Korean Journal of Archival Studies
• /
• no.59
• /
• pp.321-353
• /
• 2019

As the function and role of the Record Center that manage the processing department, which is the producer of records, are very passive and limited, there are growing demands for expansion of work and organization along with change in this. In order to strengthen the function and role of the Record Center, it is necessary to enrich the substance through identification of the value of preservation and utilization of records under the Record Center, development of various tasks, and the construction of independent Record Center, etc. in addition to complementing institutional devices. In this paper, we examine the construction background and process, the remaining tasks of Record Center in Ministry of Justice, and intend to find out what matters and procedures the central administrative agency should consider when establishing the Record Center based on relevant case study.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.20 no.2
• /
• pp.200-209
• /
• 2019

When forecasting future values, a model estimated after minimizing training errors can yield test errors higher than the training errors. This result is the over-fitting problem caused by an increase in model complexity when the model is focused only on a given dataset. Some regularization and resampling methods have been introduced to reduce test errors by alleviating this problem but have been designed for use with only a given dataset. In this paper, we propose a new optimization approach to reduce test errors by transforming a test error minimization problem into a training error minimization problem. To carry out this transformation, we needed additional data for the given dataset, termed pseudo data. To make proper use of pseudo data, we used three types of missing data imputation techniques. As an optimization tool, we chose the least squares method and combined it with an extra pseudo data instance. Furthermore, we present the numerical results supporting our proposed approach, which resulted in less test errors than the ordinary least squares method.

• The Journal of the Convergence on Culture Technology
• /
• v.5 no.3
• /
• pp.71-78
• /
• 2019

The importance of social responsibility such as ethical management and social contribution activities is emphasized for the sustainable growth of companies. Although there is a great deal of research on corporate social responsibility due to the increase in social interest and expectation, most of them have been limited to research on general manufacturing industry. The purpose of this study is to analyze the effect of social responsibility activities on financial performance. In addition, we want to analyze the difference in the financial performance of companies with excellent social responsibility activities announced by the Institute of Economic Justice and others. The analysis period is from 2011 to 2016, and we analyze using the robust regression methodology which is relatively effective in solving the autocorrelation and this dispersion problem. First, it is proved that the higher the KEJI index, the more positive effect on financial performance. In addition, we found that there is a significant difference in the financial performance of companies with excellent social responsibility activities and those with other social responsibility activities. These results will have important implications for establishing a firm's financial strategy and will serve as useful information for the financial industry that is striving for sustainable management.

• Convergence Security Journal
• /
• v.19 no.2
• /
• pp.29-38
• /
• 2019

For that reason, trend research has been actively conducted to identify and analyze the key topics in large amounts of data and information. Also personal information protection field is increasing activities in order to identify prospects and trends in advance for preemptive response. However, only research based on technology such as trends in information security field and personal information protection solution is broadly taking place. In this study, threat-based trends in personal information protection field is analyzed through text mining method. This will be the key to deduct undiscovered issues and provide visibility of current and future trends. Policy formulation is possible for companies handling personal information and for that reason, it is expected to be used for searching direction of strategy establishment for effective response.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2019.05a
• /
• pp.100-103
• /
• 2019

Due to the fourth industrial revolution called 'fusion and connection', interest in 'high connectivity society' and 'highland society' is increasing, and related objects are not limited to automation and connected cars. The Internet of Things is the main concern of the 4th Industrial Revolution and it is expected to play an important role in establishing the basis of the next generation mobile communication service. Several domestic and foreign companies have been studying various types of LPWANs for the construction of the Internet based on things, and there is Semtech's LoRaWAN technology as representative. LoRaWAN is a long-distance, low-power network designed to manage a large number of devices and sensors, with communications from hundreds to thousands to thousands of devices and sensors. In this paper, we analyze the optimum node capacity of gateway for maximum performance while reducing resource waste in using LoRaWAN.

• KIPS Transactions on Software and Data Engineering
• /
• v.10 no.2
• /
• pp.73-78
• /
• 2021

Recently, as interest in deep learning has increased, many researches in various fields using deep learning techniques have been conducted. Studies on automatic generation of fonts using deep learning-based generation models are limited to several languages such as Roman or Chinese characters. Generating Korean font is a very time-consuming and expensive task, and can be easily created using deep learning. For research on generating Korean fonts, it is important to prepare a Korean font dataset from the viewpoint of process automation in order to keep pace with deep learning-based generation models. In this paper, we propose a Korean font dataset for deep learning-based Korean font research and describe a method of constructing the dataset. Based on the Korean font data set proposed in this paper, we show the usefulness of the proposed dataset configuration through the process of applying it to a deep learning Korean font generation application.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.20 no.6
• /
• pp.67-81
• /
• 2010

As wide propagation of smartphones, e-commerce with smartphones increases rapidly. Such as transfer or stock trade systems. It has prospect that most of financial companies going to offer e-commerce systems via smartphones. And e-commerce via smartphones will be increased, hence the nature of smartphone that can be used whenever, wherever. However, legislation of e-commerce in Korea does not reflect these characteristics of smartphones, because it has set standards in regular PC. So that this study is security threat and feature of smartphones considering that the current legal system will use Certificate constraints, ensuring the safety of e-commerce and install security programs for protection of users, e-commerce responsible for the accident analysis has focused on the issues presented for this improvement.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.16 no.6
• /
• pp.1363-1372
• /
• 2021

Red tide, defined as the major reproduction of harmful birds, has the characteristics of being generated and diffused in a wide area. This has limitations in detection only with the existing investigation method. Therefore, in this study, red tide was detected using a remote sensing technique. In addition, it was intended to increase the accuracy of detection by using optical characteristics, not just the concentration of chlorophyll. Red tide mainly occurs on the southern coast where sea signals are complex, and the main red tide control species on the southern coast is Cochlodinium polykirkoides. Therefore, it was intended to secure objectivity by reflecting features that could not be found depending on the researcher's observation and experience, not limited to visual judgment using machine learning techniques. In this study, support background machines and random forest were used among machine learning models, and as a result of calculating accuracy as performance evaluation indicators of the two models, the accuracy was 85.7% and 80.2%, respectively.

• Journal of Software Assessment and Valuation
• /
• v.17 no.1
• /
• pp.75-82
• /
• 2021

Mastitis in cows is a major factor that hinders dairy productivity of farms, and many attempts have been made to solve it. However, research on mastitis has been limited to diagnosis rather than prediction, and even this is mostly using a single sensor. In this study, a predictive model was developed using multivariate data including biometric data and environmental data. The data used for the analysis were collected from robot milking machines and sensors installed in farmhouses in Chungcheongnam-do, South Korea. The recurrent neural network model using three weeks of data predicts whether or not mastitis is diagnosed the next day. As a result, mastitis was predicted with an accuracy of 82.9%. The superiority of the model was confirmed by comparing the performance of various data collection periods and various models.

• Journal of Digital Convergence
• /
• v.20 no.5
• /
• pp.819-825
• /
• 2022

As the importance of national technical qualifications for hairdressers to verify qualifications and skills as a professional is increasing, it is time to improve achievement motivation and job attitudes through research on job attitudes perceived by hair designers toward hair practical tasks. As a result of studying the effect on the job attitude of a hairstylist working in a hair salon, it was found that blow-drying induced the hairstylist's job efficacy among the practical tasks for the hairdresser's hair national technology certification, and scalp scaling and shampoo were the job of the hairstylist. was found to induce satisfaction. Based on the research results, it is possible to present a variety of practical certification tasks with practicality that can be usefully applied to customers in various techniques in the beauty industry, rather than unrealistic practical techniques limited only to wigs. We want to induce improvement. In addition, I believe that this study will provide basic data for the development of various practical tasks to improve the achievement motivation of hair designers.