• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.209-223
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• 2024

In the context of the fourth industrial revolution, data-driven decision-making has increasingly become pivotal. However, the integrity of data analysis is compromised if data quality is not adequately ensured, potentially leading to biased interpretations. This is particularly critical for water level data, essential for water resource management, which often encounters quality issues such as missing values, spikes, and noise. This study addresses the challenge of noise-induced data quality deterioration, which complicates trend analysis and may produce anomalous outliers. To mitigate this issue, we propose a noise removal strategy employing Wavelet Transform, a technique renowned for its efficacy in signal processing and noise elimination. The advantage of Wavelet Transform lies in its operational efficiency - it reduces both time and costs as it obviates the need for acquiring the true values of collected data. This study conducted a comparative performance evaluation between our Wavelet Transform-based approach and the Denoising Autoencoder, a prominent machine learning method for noise reduction.. The findings demonstrate that the Coiflets wavelet function outperforms the Denoising Autoencoder across various metrics, including Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), and Mean Squared Error (MSE). The superiority of the Coiflets function suggests that selecting an appropriate wavelet function tailored to the specific application environment can effectively address data quality issues caused by noise. This study underscores the potential of Wavelet Transform as a robust tool for enhancing the quality of water level data, thereby contributing to the reliability of water resource management decisions.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.3
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• pp.153-168
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• 2019

Augmented Reality(AR) has been one of the important technologies of the 4th industrial revolution. Consumer acceptance of new technologies is substantial issue for market expansion, but there have been few empirical studies on factors that affect the acceptance or use intention of AR. In this study, we have explored and analyzed the factors influencing technology acceptance based on the extended unified theory of acceptance and use of technology(UTAUT2) model in the AR business and have discussed it with comparison with existing research based on this analysis. The results of this study suggest that the main variables of the existing UTAUT1 model had significant positive effect on the intention to use, such as performance expectancy, effort expectancy, facilitating conditions and hedonic motivation, habits of UTAUT2. In addition, perceived risk introduced in this study had a negative effect on intention to use. Furthermore, the impact between these two factors have been effort expectancy(${\beta}=.294$)>habits(${\beta}=.268$)>hedonic motivation(${\beta}=.266$)>performance expectancy,(${\beta}=.263$)>facilitating conditions(${\beta}=.233$)>perceived risk(${\beta}=-.094$). The impact of social influence did not have a significant effect on intention to use. The intention to use was analyzed to have a significant positive effect on the actual use and recommendation intention. On the other hand, the hypothesis that the age and gender has played a moderating role between independent variables and the intention of use were investigated. Age was found out to play a role as a moderator between social influence, facilitating conditions, hedonic motivation, habits and intention to use. In the same way, gender has been shown to play a moderating role between facilitating conditions, perceived risk and intention to use. Academic and practical implications are suggested based on the results of this study.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.14 no.4
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• pp.101-111
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• 2019

In distance learning, quality of service is an important part of improving customer satisfaction and customer loyalty. However, in verifying the effectiveness of remote education service quality, it has been researched based on fragmentary effects on remote education service quality, and the effect study on the specific target is insufficient. In this study, the effects of remote education service factors on customer satisfaction and customer loyalty were analyzed in the previous study and among job seekers. The survey was conducted from March 2019 and 258 samples of job seekers who experienced remote education were used for empirical analysis. As a result of the analysis, typology, problem solving, interaction, information serviceability, and convenience had a positive effect on customer satisfaction, and satisfaction had a significant influence on customer loyalty. In addition, it was analyzed that characterization, problem-solving, interaction, information serviceability, convenience and customer loyalty were affected in the verification of the mediated effects of satisfaction. In response, the implications of this study were derived from practical research on customer satisfaction and loyalty of educational companies related to eduTech, where education and ICT (Information Communication Technology) were integrated during the 4th Industrial Revolution, which suggested that the quality of a company's remote education service affected customer satisfaction and customer loyalty to entrepreneurs and marketers in the education company's start-up and marketing process. Further, further research will be needed in other areas as well as in the areas of employment education to verify the importance of service quality and assess the various effects.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.7
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• pp.325-332
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• 2023

Currently, the world's population has already entered a super-aging era, and the rate is expected to increase rapidly to about 40% by 2050. However, the rapid development of automation technology and the online service sector, the main technologies of the Fourth Industrial Revolution, are still further isolating them in a world where many inconveniences and development technologies are applied. As such, alienation in daily life is widely expanded in various fields, but the financial service sector is one of the must-use areas regardless of age because of its strong nature in the public service sector, and is a very important factor in the period when branches are rapidly decreasing. However, the current utilization rate of mobile banking services is not around 5%, so users over 60 are rarely able to use them. The UX design of the most frequently used remittance service screen in mobile banking services was proposed, and the difficulty of trying to find the preferred bank among 56 or more banks was solved by analyzing the usage rate of each bank and dividing it into three stages by age group from 50 or older. In addition, it was designed to strengthen customized services by showing their recently used banks as the top priority. The design proposed in this study obtained an average of 4.8 points or more out of 5 points as a result of usability satisfaction through interviews with less than 50 senior groups. This study is believed to help each bank upgrade its different mobile banking designs in a unified manner.

• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.250-267
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• 2017

Maker activity, mainly practiced in informal or non-formal education environments activities, was expanded to the form of maker education' due to its various educational values and effects. Yet, one of the difficulties in practicing the maker education in school education is the lack of makerspace as a space for the maker activities. In this context, this study aimed to examine the process of how the students make the makerspace in their school and to define its educational effects defined as 'maker spirits.' For this purpose, this study developed a maker education program for 22 $10^{th}$ graders in an high school for 8 weeks who had participated in the project of 'Making Makerspace'. The results of the program were analyzed through data collected from reflective journals, interview, and observation journals. In conclusion, this study presented a practical and helpful way to make 'Makerspace' in school and at the same time, confirmed Maker education as constructivist learning environments re-encountered in the $21^{st}$ and as an alternative learning approach suitable for the $4^{th}$ Industrial Revolution Age.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.10
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• pp.183-193
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• 2018

The purpose of this study was to assess the implications for Daejeon's business management by analyzing the impact on the management performance of human solidarity among CEOs of small and medium venture companies in Daejeon. From 20th March to 20th May 2018, 212 questionnaires were collected from CEOs of small and medium-sized venture companies in Daejeon for this study and verified using the SPSS statistics Analysis Program. As a result, the study confirmed that the "work" and "school" connection factors have positive effects on securing government projects, improving business management, acquiring the necessary information for business growth, and securing competitiveness in 4th industrial revolution era. On the other hand, the "Region or Kin-group" connection factor does not affect the management performance. The following implications were derived fromthese studies on sustainable growth and development of business in Daejeon. First, it requires a higher level of the CEO solidarity. Second, efforts aimed at building mutual trust among CEOs in Daejeon are needed to develop close relationships and strong connections. Third, each operating association established in Daejeon needs to develop various programs for building relationships among CEOs and operate programs to increase the chances of contact.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.7
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• pp.462-474
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• 2020

The purpose of this study is to provide fundamental data for robot-based education at home by analyzing the factors affecting the recognition and technology acceptance attitudes of mothers with young children. For this purpose, a questionnaire survey was administered to 319 mothers with young children in Seoul and Gyeonggi Province, and one-way ANOVA, chi-square, correlation analysis, and regression analysis were conducted for statistical verification. As a result, there was a significant difference in the robot-based education at home of mothers to child according to their final educational background. Mothers' acceptance intention, perceived ease of use, perceived usefulness, social influence of robot application and personal innovation were all positively correlated. The factors that affect intention of acceptance were perceived ease of use and perceived usefulness of robot application. Conclusively, mothers with young children use robot-based education at home when it is more convenient to use and has educational effects more than the personal innovation or social influence. These study results are meaningful ahead of the 4th industrial revolution in that we provided basic data for the correct direction of robot-based education to young children at home.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.8
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• pp.359-369
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• 2020

This study was an exploratory study for the development of a competency-based social welfare curriculum. This study was conducted through a literature review focused on guidelines for social welfare published by the KCSWE (Korean Council for Social Welfare Education). The purpose of this study was to explore social welfare professional competencies, subject goals, teaching methods, and the participatory learning environment for the development of a competency-based social welfare curriculum. The findings are as follows. First, each university had been researching professional competencies individually. Second, the social welfare subjects tended to include all elements of knowledge, skills, and attitudes, and these goals were matched with professional competencies set by each university. Third, the guidelines for social welfare subjects provided various teaching methods to achieve the goals of the subject as well as a participatory learning environment based on discussion. However, it was difficult to determine whether the various teaching methods were effective in achieving core and professional competencies. Therefore, it is necessary for KCSWE to set up a standardized competency-based curriculum and research professional competencies based on social welfare, a curriculum and subjects according to their competencies, effective teaching methods, and a method for evaluating educational outcomes.

• Journal of Digital Convergence
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• v.17 no.10
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• pp.49-58
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• 2019

In the era of the 4th industrial revolution, the development of information technology brought various benefits, but it also increased social interest in privacy issues. As the possibility of personal privacy violation by big data increases, academic discussion about privacy management has begun to be active. While the traditional view of privacy has been defined at various levels as the basic human rights, most of the recent research trends are mainly concerned only with the information privacy of online privacy protection. This limited discussion can distort the theoretical concept and the actual perception, making the academic and social consensus of the concept of privacy more difficult. In this study, we analyze the privacy concept that is exposed on the internet based on 12,000 news data of the portal site for the past one year and compare the difference between the theoretical concept and the socially accepted concept. This empirical approach is expected to provide an understanding of the changing concept of privacy and a research direction for the conceptualization of privacy for current situations.

• Science of Emotion and Sensibility
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• v.22 no.2
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• pp.49-58
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• 2019

In the era of the 4th Industrial Revolution, artificial intelligence (AI) has become one of the core technologies in terms of the business strategy among information technology companies. Both international and domestic major portal companies are launching AI search services. These AI search services utilize voice, images, and other unstructured data to provide different experiences from existing text-based search services. An unfamiliar experience is a factor that can hinder the usability of the service. Therefore, the usability testing of the AI search services is necessary. This study examines the usability of the AI search service on the Naver App 8.9.3 beta version by comparing it with the search services of the current Naver App and targets 30 people in their 20s and 30s, who have experience using Naver apps. The usability of Smart Lens, Smart Voice, Smart Around, and AiRS, which are the Naver App beta versions of their artificial intelligence search service, is evaluated and statistically significant usability changes are revealed. Smart Lens, Smart Voice, and Smart Around exhibited positive changes, whereas AiRS exhibited negative changes in terms of usability. This study evaluates the change in usability according to the application of the artificial intelligence search services and investigates the correlation between the evaluation factors. The obtained data are expected to be useful for the usability evaluation of services that use AI.