• Journal of the Korean Applied Science and Technology
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• v.38 no.3
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• pp.840-850
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• 2021

The purpose of this study was to phenomenologically explore what experiences sports coaches have felt about coaching efficacy through qualitative research methods, and to derive the sources of coaching efficacy. To achieve the research aim, 15 sports coaches with more than 5 years of experience were selected as a nomadic sampling and in-depth interviews were conducted, and the collected data were analyzed through qualitative data analysis procedures such as transcription, coding, categorization and meaning. As a result, the sources of sports coaching efficacy were established as five factors including coaching success experience, social support, coaching-related player experience, coaching expertise, and player feedback. The derived sources can be used as educational basic data for the development of coaching efficacy.

• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.223-238
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• 2023

This research presents the actual situation analysis and suggestions for the changes, experiences, and process of adaptation that college students have experienced throughout their studies and life over the past two years and more. In-depth interviews were conducted with university students, who are educational objects, and qualitative analysis methods were used to explore the overall living experiences under the pandemic situation. The interview questions were composed to cover classes, life, and emotional experiences after COVID-19, and the result of analyzing the responses boiled down to four super-categories of 'adaptation process to a new system, daily incontinence, struggle for health, and longing for connection.' This study is significant in that it analyzed the experiences and intimate changes of individual college students in unexpected and challenging situations, and urged the myriad aspects that universities, society, and the government should illuminate and respond to.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.721-728
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• 2023

This study was conducted with the aim of exploring the essence of the achievements experienced by nursing students while enhancing their problem-solving abilities through simulation practical training. The study participants included 13 fourth-year nursing students, and data were collected through individual interviews conducted after the simulation practical training. Data analysis followed the qualitative research method of content analysis, involving coding, categorization, and thematization of the data. The results of this study revealed that nursing students' achievement experiences through simulation practical training included the following processes: "confirming confidence through improvement," "acknowledging change," "experiencing nursing self-efficacy," and "getting closer to the goal of clinical practice." Furthermore, it is suggested that efforts should be made to implement efficient operation and evaluation tools through multifaceted and meticulous design to promote integrated learning through simulation practical training and to confirm the process of internalizing knowledge through reflection by nursing students.

• Membrane Journal
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• v.27 no.5
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• pp.375-388
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• 2017

Wastewater treatment (WWT) technology has been developing from simple pollutant treatment to energy and resource-saving advanced technology, and various technologies combined with IT and BT are developed to minimize the amount of pollutant and toxic substance discharge to the public water areas and to improve operational efficiency. To examine the development trend of domestic wastewater treatment technology, the registered patent technologies were surveyed, classified and analyzed by year and sector. This paper considers the status of patent registration related to WWT from 2010.1 to 2017.5 in terms of the number of specific technical areas, and the trends are analyzed based on the 10 categorization field such as biological and physicochemical treatment process, equipment and device, material, sludge treatment, membrane, process control and 42 specific technical areas. A total of 3,356 patents have been registered since 2010, and the number of patents has been decreasing since the peak at 2013 and maintains 3~400 per year. The total number of patents has not yet been less than other countries, but the number of patents of more advanced technologies, which can lead the global market, such as process monitoring, new concept processing and equipment technologies is still insufficient compared to developed countries.

• The Journal of the Korea institute of electronic communication sciences
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• v.16 no.5
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• pp.851-858
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• 2021

Due to the increase in renewable energy and distributed resources, not only traditional data but also various energy-related data are being generated in the new energy industry. In other words, there are various renewable energy facilities and power generation data, system operation data, metering and rate-related data, as well as weather and energy efficiency data necessary for new services and analysis. Energy big data processing technology can systematically analyze and diagnose data generated in the first half of the power production and consumption infrastructure, including distributed resources, systems, and AMI. Through this, it will be a technology that supports the creation of new businesses in convergence between the ICT industry and the energy industry. To this end, research on the data analysis system, such as itemized characteristic analysis of the collected data, correlation sampling, categorization of each feature, and element definition, is needed. In addition, research on data purification technology for data loss and abnormal state processing should be conducted. In addition, it is necessary to develop and structure NIFI, Spark, and HDFS systems so that energy data can be stored and managed in real time. In this study, the overall energy data processing technology and system for various power transactions as described above were proposed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.90-99
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• 2016

Forecasting of box office performance after a film release is very important, from the viewpoint of increase profitability by reducing the production cost and the marketing cost. Analysis of psychological factors such as word-of-mouth and expert assessment is essential, but hard to perform due to the difficulties of data collection. Information technology such as web crawling and text mining can help to overcome this situation. For effective text mining, categorization of objects is required. In this perspective, the objective of this study is to provide a framework for classifying films according to their characteristics. Data including psychological factors are collected from Web sites using the web crawling. A clustering analysis is conducted to classify films and a series of one-way ANOVA analysis are conducted to statistically verify the differences of characteristics among groups. The result of the cluster analysis based on the review and revenues shows that the films can be categorized into four distinct groups and the differences of characteristics are statistically significant. The first group is high sales of the box office and the number of clicks on reviews is higher than other groups. The characteristic of the second group is similar with the 1st group, while the length of review is longer and the box office sales are not good. The third group's audiences prefer to documentaries and animations and the number of comments and interests are significantly lower than other groups. The last group prefer to criminal, thriller and suspense genre. Correspondence analysis is also conducted to match the groups and intrinsic characteristics of films such as genre, movie rating and nation.

• Environmental Engineering Research
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• v.23 no.1
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• pp.54-61
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• 2018

Biodiesel production parameters and the impact analysis of the potential emissions from both soybean biodiesel and washing water stored in three different environmental conditions were investigated. The effects of the reaction temperature, methanol/oil mole ratio and catalyst concentration on biodiesel yield were considered. And the results showed optimum biodiesel yield of 99% obtained at $54^{\circ}C$, 7 methanol/oil mole ratio and 0.4 wt/wt % catalyst concentration. The potential emissions from both the biodiesel produced and washing water stored (for six weeks) in refrigerator (${\leq}10^{\circ}C$), vacuum (50 kPa) and direct exposure to atmosphere were identified and quantified. Impact analysis of the emissions involved their categorization into: terrestrial acidification, freshwater eutrophication, human toxicity, terrestrial ecotoxicity, climate change and freshwater ecotoxicity. Freshwater ecotoxicity category had the most pronounced negative impact of the potential emissions with $5.237710^{-2}kg\;1,4-DB\;eq$. emissions in Atmosphere, $4.702610^{-2}kg\;1,4-DB\;eq$. emissions in Refrigerator and $3.966110^{-2}kg\;1,4-DB\;eq$. emissions in Vacuum. Climate change had the least effect of the emissions with $6.214106^{-6}kg\;CO_2\;eq$. in Atmosphere, $3.9310^{-6}kg\;CO_2\;eq$. in Refrigerator and $1.6710^{-6}kg\;CO_2\;eq$. in Vacuum. The study showed that the order of preference of the storage environments of biodiesel is vacuum environment, refrigerated condition and exposure to atmosphere.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1525-1540
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• 2015

Due to a rapid advancement in the electronic commerce technology, the payment method varies from cash to electronic settlement such as credit card, mobile payment and mobile application card. Therefore, financial fraud is increasing notably for a purpose of personal gain. In response, financial companies are building the FDS (Fraud Detection System) to protect consumers from fraudulent transactions. The one of the goals of FDS is identifying the fraudulent transaction with high accuracy by analyzing transaction data and personal information in real-time. Data mining techniques are providing great aid in financial accounting fraud detection, so it have been applied most extensively to provide primary solutions to the problems. In this paper, we try to provide an overview of the research on data mining based fraud detection. Also, we classify researches under few criteria such as data set, data mining algorithm and viewpoint of research.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.43 no.7
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• pp.657-667
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• 2015

With development of technology and increase of commercial demand for unmanned aerial system(UAS), the related regulation has been prepared and complemented with the advanced countries such as Unite States and European Union(EU). However it is difficult for regulation to cover all areas of UASs practically since UASs have been developed in a variety of configurations and performance depending on their purpose. Therefore the reasonable criteria for the classification of UASs and their category should be suggested before development of the regulation. For this reason, many countries have been studying the standard for UASs classification and International Civil Aviation Organization(ICAO) makes an effort to prepare the international standards. In this paper, the new classification scheme which can complement domestic regulation is suggested based on investigation of the global trend of UAS classification and their researches.

• Journal of Korea Multimedia Society
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• v.14 no.6
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• pp.730-741
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• 2011

With the development of the internet and computer technology, the amount of information through the internet is increasing rapidly and it is managed in document form. For this reason, the research into the method to manage for a large amount of document in an effective way is necessary. The conventional document categorization method used only the keywords of related documents for document classification. However, this paper proposed keyword extraction method of based on association rule. This method extracts a set of related keywords which are involved in document's category and classifies representative keyword by using the classification rule proposed in this paper. In addition, this paper proposed the preprocessing method for efficient keywords creation and predicted the new document's category. We can design the classifier and measure the performance throughout the experiment to increase the profile's classification performance. When predicting the category, substituting all the classification rules one by one is the major reason to decrease the process performance in a profile. Finally, this paper suggested automatically categorizing plan which can be applied to hierarchical category architecture, extended from simple category architecture.