• Journal of the Korea Society of Computer and Information
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• v.26 no.9
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• pp.13-25
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• 2021

In the age of digital innovation based on the Internet, Information and Communication and Artificial Intelligence technologies, huge amounts of datasets are being generated, collected, accumulated, and opened on the web by various public institutions providing useful and public information. In order to analyse, gain useful insights and information from data, Formal Concept Analysis(FCA) has been successfully used for analyzing, classifying, clustering and visualizing data based on the binary relation between objects and attributes in the dataset. In this paper, we present an approach for enhancing the analysis of relational attributes of data within the extended framework of FCA, which is designed to classify, conceptualize and visualize sets of objects described not only by attributes but also by relations between these objects. By using the proposed tool, RCA wizard, several experiments carried out on some public open datasets demonstrate the validity and usability of our approach on generating and visualizing conceptual hierarchies for extracting more useful knowledge from datasets. The proposed approach can be used as an useful tool for effective data analysis, classifying, clustering, visualization and exploration.

• Journal of Korean Society of Archives and Records Management
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• v.21 no.1
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• pp.41-56
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• 2021

This study aims to analyze the court ruling on "Inter-Korean Summit Meeting Minutes Deletion," identify how the established requirements, concept, and scope for the records prescribed in the Public Records Management Act are applied in actual cases, and summarize the future tasks. It analyzes the "approval theory" as the point of establishment for records by the ruling means and how the meaning of approval is determined, and examines the difference between the e-jiwon System and the On-Nara System to understand the meaning of ruling clearly. Moreover, it analyzes how the "Invalidity of Public Documents Crime" in Article 141 in the Criminal Act influences record management. Based on such comprehensive case analyses, the study proposes what tasks the administrative agencies such as the National Archives of Korea and the Ministry of the Interior and Safety should perform.

• Journal of Internet of Things and Convergence
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• v.8 no.1
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• pp.37-43
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• 2022

The fundamental basis of AI technology is learningable data. Recently, the types and amounts of data collected and produced by the government or private companies are increasing exponentially, however, verified data that can be used for actual machine learning has not yet led to it. This study discusses the conditions that data actually can be used for machine learning should meet, and identifies factors that degrade data quality through case studies. To this end, two representative cases of developing a prediction model using public big data was selected, and data for actual problem solving was collected from the public data portal. Through this, there is a difference from the results of applying valid data screening criteria and post-processing. The ultimate purpose of this study is to argue the importance of data quality management that must be most fundamentally preceded before the development of machine learning technology, which is the core of artificial intelligence, and accumulating valid data.

• The Korean Journal of Archival Studies
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• no.78
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• pp.153-195
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• 2023

RDBMS is a widely used database system worldwide, and the term dataset refers to the vast amount of data produced in administrative information systems using RDBMS. Unlike business systems that mainly produce administrative documents, administrative information systems generate records centered around the unique tasks of organizations. These records differ from traditional approval documents and metadata, making it challenging to seamlessly transfer them to standard record management systems. With the 2022 revision of the 'Public Records Act Enforcement Decree,' dataset was included in the types of records for which only management authority is transferred. The core aspect of this revision is the need to manage the lifecycle of records within administrative information systems. However, there has been little exploration into how to manage dataset within administrative information systems. As a result, this research aims to design a database for a record management module that needs to be integrated into administrative information systems to manage the lifecycle of records. By modifying and supplementing ISO 16175-1:2020, we are designing an "human resource management system" and identifying and evaluating personnel management dataset. Through this, we aim to provide a concrete example of record management within administrative information systems. It's worth noting that the prototype system designed in this research has limitations in terms of data volume compared to systems currently in use within organizations, and it has not yet been validated by record researchers and IT developers in the field. However, this endeavor has allowed us to understand the nature of dataset and how they should be managed within administrative information systems. It has also affirmed the need for a record management module's database within administrative information systems. In the future, once a complete record management module is developed and standards are established by the National Archives, it is expected to become a necessary module for organizations to manage dataset effectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.379-385
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• 2020

The effect of research and development (R&D) expenditure on firm output is an interesting topic, but hardly explored in developing countries due to the unavailability of data. This study investigates this topic in the context of Vietnam by utilizing a novel dataset of 343 firms listed on the Vietnam Stock Exchange in the 2010-2018 period. The effect of R&D expenditure is examined under the production function framework. In order to obtain the robustness of the quantitative results, we estimate the production function with two coherent techniques including the OLS and 2-SLS. An instrumental variable regression technique is adopted to avoid the endogeneity problem between R&D expenditure and other variables. In our empirical analysis, we find that R&D expenditure has a positive and significant impact on output growth. The finding is robust in both OLS and 2-SLS frameworks. Besides, the output elasticity to R&D expenditure of our result is much higher than the estimated elasticity of other countries. The results imply that a 1% increase in R&D expenditure in Vietnam will help to expand the output more than a 1% increase in R&D investment in other countries. The findings from our paper provide important implications for firm managers, investors, and policymakers in Vietnam.

• Fashion & Textile Research Journal
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• v.15 no.1
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• pp.57-64
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• 2013

This research examines the environmental consciousness of fashion consumer attitudes towards eco-friendly products and artificial leather purchase intentions. The survey was conducted from March 11 to March 15 2012 and all respondents had at least once experience of purchasing fashion items made of artificial leather. A total of 426 subjects were used in the dataset; the statistical analysis methods were frequency analysis, factor analysis, reliability analysis and multiple analysis. The results are as follows. The study finds that environmental consciousness has three dimensions of public participation, resource conservation, and recycling. Public participation, recycling, and resource conservation influenced eco-friendly product attitudes. Eco-friendly product attitudes influenced artificial leather purchase intentions. The research results show that appropriate plans in fashion business such as usefulness of design and business value will need to be provided to fashion consumers. Detailed information on materials related to fashion products as the content of environment-friendly techniques and recycling methods will help consumers to evaluate environmental-friendly attitude products.

• Journal of Preventive Medicine and Public Health
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• v.52 no.3
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• pp.154-160
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• 2019

Objectives: Stillbirth is a common adverse pregnancy outcome that represents a distressing and traumatic event for women and their partners. The aim of this study was to identify factors associated with stillbirth in ever-pregnant women in Nepal. Methods: This study utilized the individual women's dataset from the Nepal Demographic and Health Survey, conducted in 2016. The dependent variable of interest was whether women had at least 1 stillbirth during their lifetime. The associations between independent variables and the dependent variable of the study were analyzed using a multiple logistic regression model. Results: Among 8918 ever-pregnant women aged 15-49 years, 488 had experienced at least 1 stillbirth during their lifetime, representing 5.5% of the total. After adjusting each factor for the confounding effects of other factors, maternal age, maternal education, place of residence, and sub-region remained significantly associated with having experienced stillbirth. Conclusions: Stillbirth continues to be a major problem among women, especially those with higher maternal age, those who are illiterate, and residents of certain geographical regions. To minimize stillbirth in Nepal, plans and policies should be focused on women with low education levels and residents of rural areas, especially in the western mountain and far-western hill regions.

• East Asian Journal of Business Economics (EAJBE)
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• v.9 no.2
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• pp.43-54
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• 2021

Purpose - This study aims to build other studies and research on the perception and association of fair hiring policy and employee job satisfaction. The reviews and further research of the performance appraisal and employee satisfaction topics provided a basis to conduct this study based on the challenges that result from equality hiring perception on the performance appraisal on the job satisfaction by employees. Research design, data, and methodology - The author collected many textual contexts from mostly peer-reviewed academic journals, which means that academic comprehensive integrity can be obtained by qualitative approach for this study with discussing and following a constructive review analysis. The content analysis aims to determine a textural dataset in the longtime frame from the newest textural information. Result - There is little doubt that this study was significant and relevant to the relationship between fair hiring policy and worker's job satisfaction, indicating that an organization that practices a fair hiring policy positively affects employee job satisfaction. After all, the employee needs are well catered for and meet appropriately. Conclusion - This study suggests that fairness extensively relies on the organization's ability to identify and eliminate any form of performance challenges regarding equity and has proved and determined the significant relationship between fair hiring policy and employees' job satisfaction

• Journal of Korean Public Health Nursing
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• v.36 no.3
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• pp.375-388
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• 2022

Purpose: The purpose of this study was to identify the factors influencing depression among married Vietnamese immigrant women living in Korea. Methods: This study was a retrospective review of the dataset from the Korean 2018 National Multicultural Family Survey. The data were analyzed using the Rao-Scott x² test and multiple logistic regression using complex samples analysis. Results: The proportion of married Vietnamese immigrant women subjects in Korea who experienced depression was 27.7%. The factors affecting depression were age, length of stay in Korea, living area, economic status, difficulties in using medical care, difficulties faced during their stay in Korea and Korean language skills relationship with spouse and parents-in-law marital conflicts, cultural differences, their experience of social discrimination, life satisfaction, and meeting with friends from their homeland. Conclusion: The findings in this study indicate that the prevention of depression in married immigrant women in Korea could be aided by acculturation programs that deal with the relationships with their spouses and social supports.

• Advances in nano research
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• v.12 no.2
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• pp.223-239
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• 2022

Object detection has always been to pursue objects with particular properties or representations and to predict details on objects including the positions, sizes and angle of rotation in the current picture. This was a very important subject of computer vision science. While vision-based object tracking strategies for the analysis of competitive videos have been developed, it is still difficult to accurately identify and position a speedy small ball. In this study, deep learning (DP) network was developed to face these obstacles in the study of tennis motion tracking from a complex perspective to understand the performance of athletes. This research has used CNN-VGG 16 to tracking the tennis ball from broadcasting videos while their images are distorted, thin and often invisible not only to identify the image of the ball from a single frame, but also to learn patterns from consecutive frames, then VGG 16 takes images with 640 to 360 sizes to locate the ball and obtain high accuracy in public videos. VGG 16 tests 99.6%, 96.63%, and 99.5%, respectively, of accuracy. In order to avoid overfitting, 9 additional videos and a subset of the previous dataset are partly labelled for the 10-fold cross-validation. The results show that CNN-VGG 16 outperforms the standard approach by a wide margin and provides excellent ball tracking performance.