• Journal of Korean Elementary Science Education
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• v.30 no.3
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• pp.315-329
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• 2011

The purpose of this study is to examine the characteristics and the relationships of PCK components of elementary school teacher in the chapter of electric circuit unit. The subjects of this study were two teachers serving as main teachers in the 5th grade and data were collected through qualitative research methods such as questionnaires for teachers, classroom observations and teacher interviews. The collected data were transcribed and then analyzed. Results of analysis showed that teacher A thought that science was a class to explore and study the principles of nature phenomena and scientific knowledge by themselves In addition, teacher A helped students to understand the content by using strategies of analogy. The teacher B conveyed the contents of text without any reconstruction. But teacher B understood the standards of curriculum, and didn't want to teach students over the standards. Based on the analysis, we could conclude that PCK is formed on the basis of knowledge and belief about curriculum and knowledge and belief about learners.

• Journal of Mechanical Science and Technology
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• v.19 no.12
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• pp.2197-2204
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• 2005

The combination of Gas chromatography (GC) for separation and Flame Ionization Detection (FID) for detection and identification of the components of a mixture of compounds is a fast and strongly proved method of analytic chemistry. The objective of this research was to design a combined High-speed miniature screening Gas chromatograph along with a Flame Ionization Detector for quick, quantitative and qualitative analysis of gas components. This combined GC-FID system is suitable to detect the volatile and semi-volatile hydrocarbons present in a gas mixture. The construction made it less expensive, easy to use and movable. The complete gas path was developed. On/off valves, temperature and flow sensors and their interface electronics were used for controlling purpose. A Microcontroller was programmed to measure the temperature and gas flow using the sensors and to control and regulate them using the electronics and valves. A pocket PC with its touch screen served as a user interface for the system. Software was developed for the pocket PC, which makes the communication possible with the Microcontroller. The system parameters can be indicated in the Pocket PC as simple text and also the analysis result can be displayed.

• The Journal of Industrial Distribution & Business
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• v.12 no.9
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• pp.19-29
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• 2021

Purpose: To thrive a competitive advantage in the highly competitive global market, a company must establish a strong startup culture, which creates a workplace environment that values innovation and creativity in solving business-related problems. This study investigates the importance of enhancing startup culture in a competitive environment to improve organizational performance, production and hence produce higher returns. Research design, data and methodology: We conducted the qualitative content analysis and its steps seek to ensure that the researcher adheres to a systematic analysis of the data. The method is used for subjective examination of content in any text data and the five steps minimize cases of errors or repetition in used content. Results: Our investigation based on previous literature resources indicates that leading strategies and creating a pleasant working environment are vital behaviors that companies should consider adopting and implementing to achieve a beneficial startup culture full of productivity and massive returns. Conclusion: This research aimed to discuss the necessity of startup culture's enhancement for for-profit companies and found that the adoption of a startup culture in a company is critical to its success. It is vital to building a solid startup culture to grow and gain a competitive advantage in the highly competitive business world.

• The Journal of Industrial Distribution & Business
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• v.13 no.10
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• pp.15-22
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• 2022

Purpose: In the manufacturing sector, VDI (Virtual Desktop Infrastructure) offers advantages to the organizations, such as allowing manufacturers access to the system from any location. The most important things are understanding what the user needs, avoiding under-provisioning, network preparation. This research is to provide useful practical l implementations of VDI in manufacturing industry based on numerous prior studies. Research design, data and methodology: This research has conducted the qualitative content analysis (QCA). When conducting this research, the present author assumed that it is crucial to create the procedures and processes that will be used to acquire the text data needed to structure or solve problems. Results: According to the prior literature analysis, there are five suggestions to implement successful VDI for manufacturing sector. The five solutions are (1) Creation of the machines, (2) Direct users to an available 'Virtual Machine', (3) 'Virtual Machine Power Management', (4) Performance monitoring, and (5) Review security. Conclusions: The research clearly details how VDI can be implemented on a manufacturer platform and how it can be connected to hundreds of users. The author can conclude that connecting hundreds of users can be done using the remote connection of devices and encourage manufacturers to work from different areas.

• Journal of Distribution Science
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• v.21 no.6
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• pp.13-20
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• 2023

Purpose: This research explores the development of music business distribution channels to attract potential customers based on the current and prior literature. As a result, the research will provide solutions for practitioners in the music distribution channel how they create effective channel in new industry phase which has experienced significant changes due to technological advancement and consumer behavior. Research design, data, and methodology: To obtain textual data in the literature storage, the author conducted content analysis. Even though there are numerous textual resources, selecting only high-quality text data that is only peer-reviewed journal articles and books consistently indicate a high degree of reliability and validity to keep the advantage form content analysis approach. Results: The present study figured out that there are five strategies to attract potential consumers in the music distribution channel, such as (1) 'Marketing Mix', (2) 'Streaming Platforms and Online Music Stores', (3) 'Brick and Mortar Stores and Concerts, and Events', (4) 'Platforms Exclusives and Limited-Edition Merchandise', and 'Partnerships and collaborations. Conclusions: In sum, the practitioners need to consider include building relationships with the fans, studying and understanding their target market, utilizing multiple available distribution channels, embracing new technologies, and analyzing the effectiveness of the adopted distribution channels.

• Journal of the Korean Society for Library and Information Science
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• v.39 no.2
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• pp.287-304
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• 2005

The goal of this research is to evaluate the usability of visually browsing the automatically extracted information. A domain-independent information extraction system was used to extract information from news type texts to populate the visually browasable knowledge base. The information extraction system automatically generated Concept-Relation-Concept triples by applying various Natural Language Processing techniques to the text portion of the news articles. To visualize the information stored in the knowledge base, we used PersoanlBrain to develop a visualization portion of the user interface. PersonalBrain is a hyperbolic information visualization system, which enables the users to link information into a network of logical associations. To understand the usability of the visually browsable knowledge base, IS test subjects were observed while they use the visual interface and also interviewed afterward. By applying a qualitative test data analysis method. a number of usability Problems and further research directions were identified.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.2
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• pp.61-73
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• 2021

This study aimed to identify the landscape perception and landscape characteristics of users by utilizing SNS data generated by their experiences. Therefore, how to recognize the main places and scenery appearing on the island, and what are the characteristics of the main scenery were analyzed using online text data and photo data. Text data are text mining and network structural analysis, while photographic data are landscape identification models and color analysis. As a result of the study, First, as a result of frequency analysis of Bakji·Banwol-do topics, we were able to derive keywords for local landscapes such as 'Purple Bridge', 'Doori Village', and location, behavior, and landscape images by analyzing them simultaneously. Second, the network structure analysis showed that the connection between key and undrawn keywords could be more specifically analyzed, indicating that creating landscapes using colors is affecting regional activation. Third, after analyzing the landscape identification model, it was found that artificial elements would be excluded to create preferred landscapes using the main targets of "Purple Bridge" and "Doori Village", and that it would be effective to set a view point of the sea and sky. Fourth, Bakji·Banwol-do were the first islands to be created under the theme of color, and the colors used in artificial facilities were similar to the surrounding environment, and were harmonized with contrasting lighting and saturation values. This study used online data uploaded directly by visitors in the landscape field to identify users' perceptions and objects of the landscape. Furthermore, the use of both text and photographic data to identify landscape recognition and characteristics is significant in that they can specifically identify which landscape and resources they prefer and perceive. In addition, the use of quantitative big data analysis and qualitative landscape identification models in identifying visitors' perceptions of local landscapes will help them understand the landscape more specifically through discussions based on results.

• Journal of the Korean Society of Child Welfare
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• no.40
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• pp.323-351
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• 2012

The purpose of this study is to analyze the process of relationships among participants in a group mentoring program. Sixteen youths who participated as mentees in a group mentoring program were theoretically sampled and participated in in-depth interviews. The analysis was based on Strauss and Corbin's grounded theory approach(1990). The result shows that the qualitative text data were classified into 14 categories and 31 sub-categories. Four different types of mentees' experiences were identified: 'expanded mentoring relationship', 'peer-oriented relationship', 'task-oriented relationship' and 'avoidant relationship'. Through a process analysis, four stages including 'stage of exploring', 'stage of establishing relations', 'stage of conflict' and 'stage of expanding relations' were discovered. Implications for social work intervention and policy development were discussed based on these findings.

• Journal of the Korea Convergence Society
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• v.11 no.9
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• pp.203-217
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• 2020

The purpose of this study was to perform a convergence study for investigating main features and influencing factors in career development process, throughout the whole periods of education, that might influence their ultimate choice of majors. We collected data of career development process at the elementary, middle, high school, and college levels using career-o-grams, for the college students who majored in English Lang/Lit and Global Commerce, and we applied text mining techniques for qualitative data analysis. Two major factors influencing career goals were parents and teachers. In particular, teachers were most influential in the career decisions at the middle school level. Teachers, family situations, and peers showed a negative impact on career aspiration. The findings would serve as a guide for career consultants and education program developers.

• Journal of KIISE
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• v.43 no.7
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• pp.795-800
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• 2016

In image classification, recent CNNs compete with human performance. However, there are limitations in more general recognition. Herein we deal with indoor images that contain too much information to be directly processed and require information reduction before recognition. To reduce the amount of data processing, typically variational inference or variational Bayesian methods are suggested for object detection. However, these methods suffer from the difficulty of marginalizing over the given space. In this study, we propose an image-text integrated recognition system using active vision based on Spatial Transformer Networks. The system attempts to efficiently sample a partial region of a given image for a given language information. Our experimental results demonstrate a significant improvement over traditional approaches. We also discuss the results of qualitative analysis of sampled images, model characteristics, and its limitations.