• Spatial Information Research
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• v.22 no.6
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• pp.67-79
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• 2014

These days open source softwares are being introduced and applied in many countries in the world. Especially, both government and private companies tend to become an spearhead in vitalizing the open source software. In this paper we try to check the degree of vitalizations in open source GIS software and to draw implications in vitalizing ecosystem of open source GIS software. Key players of open source GIS software ecosystem are government, private companies, academic and research institutes, and nonprofit foundations. Government does not have very little policies related to the investment and the support of open source GIS software. Private companies related to the open source GIS software are very few in the number and do not have any clear business model to make a profit. Academic and research institutes are weak in using the open source GIS software, which can be an major obstacle to cultivate software developers. OSGeo Korean branch, established in 2009, is the only nonprofit foundation in Korea which makes an effort to vitalize the open source GIS software, but its results are not very strong up to now in view of both quality and invigoration. In order to vitalize the open source GIS software ecosystem, lots of efforts of key players are needed. Especially, government efforts are very important because it can provide a trigger in vitalizing the open source GIS software ecosystem. The tasks that government should propel are R&D investment, test bed projects in the area of public sector, professional manpower training, and international cooperation and marketing.

• Journal of dental hygiene science
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• v.16 no.1
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• pp.18-25
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• 2016

The purpose of this study was to investigate a reliability and validity of the Korean version for measuring tool the job embeddedness of dental hygienists. The survey was modified and revised to fit into Korean culture. A survey was conducted with 274 dental hygienists in dental clinics. The data was used for the analysis of the study, using PASW Statistics 18.0 and IBM SPSS AMOS 7.0. The factor analysis showed that the job embeddedness of the dental hygienists was composed of three elements, namely 'organization fit', 'job connectivity', and 'personnel relationships'. The validity of the model examined by a confirmatory factor analysis satisfied most of the relevant requirements. All of the factors had the conceptual reliability and variant extracted index above the minimum requirements, ensuring reliability and concentrated validity. The Cronbach's alpha shows a good reliability. In conclusion, it was proven that dental hygienist's job embeddedness measurement tool has high validity and reliability. Further, this study could be used to improve dental hygienist's long term working, and the growth stage of dental clinic.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.3
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• pp.9-15
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• 2019

Large global online shopping malls, such as Amazon, offer services in English or in the language of a country when their products are sold. Since many customers purchase products based on the product reviews, the shopping malls actively utilize the sentimental analysis technique in judging preference of each product using the large amount of review data that the customer has written. And the result of such analysis can be used for the marketing to look the potential shoppers. However, it is difficult to apply this English-based semantic analysis system to different languages used around the world. In this study, more than 500,000 data from Amazon fine food reviews was used for training a deep learning based system. First, sentiment analysis evaluation experiments were carried out with three models of English test data. Secondly, the same data was translated into seven languages (Korean, Japanese, Chinese, Vietnamese, French, German and English) and then the similar experiments were done. The result suggests that although the accuracy of the sentimental analysis was 2.77% lower than the average of the seven countries (91.59%) compared to the English (94.35%), it is believed that the results of the experiment can be used for practical applications.

• Phonetics and Speech Sciences
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• v.11 no.3
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• pp.77-87
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• 2019

The study aimed to develop Speech Range Profile (SRP) and to examine and validate its clinical application. Forty-five participants without voice disorders aged 18-29 years were compared using SRP and Voice Range Profile (VRP). The authors developed the "Fire!" paragraph as a SRP task compromising 14 sentences including all Korean spoken phonemes and sentence types. To compare SRP and VRP results, the participants read the paragraph (reading) and counted from 21 to 30 (counting) as a part of SRP tasks, and produced a vowel /a/ from low to high frequencies (gliding) and a shortened form of the VRP as a part of VRP tasks. $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, $I_{min}$, and $I_{range}$ for each task were measured and compared, showing that $F0_{max}$, $F0_{min}$, $F0_{range}$, $I_{max}$, and $I_{range}$ were not different between reading and gliding. $I_{min}$, had the lowest value in counting. It is concluded that the newly developed SRP task, reading the "Fire" paragraph, can yield a maximum phonation range similar to that found by VRP. Therefore, it is expected that voice evaluation can be effectively performed in a relatively short time by applying SRP with the "Fire" paragraph, a functional utterance task, in place of VRP, which may be difficult to measure long term or in cases of severe voice disorders.

• Journal of Convergence for Information Technology
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• v.9 no.9
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• pp.219-228
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• 2019

The purpose of this study was to develop a tool to assess the job satisfaction of dental hygienists and to evaluate the validity and reliability of the dental hygienist. A total of 54 items were translated into 24 items through content validity and content analysis. The results of this study are as follows: overall satisfaction, income, patient relations, professional time, personal time, Practice Management, Delivery of Care and co-worker relations were classified by exploratory factor analysis. The fit of the model through confirmatory factor analysis generally met the criteria. As a result of the internal consistency test, Cronbach's ${\alpha}$ was found to be a reliable measure of measurement, with an overall satisfaction of 0.918, an income of 0.833, a patient relationship of 0.804, an occupational time of 0.675, a personal time of 0.939, a work practice of 0.739, The validity and reliability of the dental hygienist 's job satisfaction measurement tool were verified to be appropriate. It can be used to study the job satisfaction of dental hygienist in the future.

• The Journal of the Korea Contents Association
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• v.22 no.7
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• pp.486-497
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• 2022

The aim of this study was to subdivide and present the units and the standards of knowledge integration in creating the students' integrated knowledge from content knowledge in college writing classes. For these, it analyzed three typical writing textbooks being used in colleges and examined the ways of presentation on forming integrated knowledge by text qualitative analysis methods. The analysis procedure and the presentation followed Creswell's spiral analysis model It is a method model which repeats the procedure from material collection and analysis to presentation circularly. This examination illustrates three dimensions of the units in forming content knowledge. Also, it suggested those should be all treated for the more systematic education: the units of the whole text, the paragraphs, and the sentences. In the next chapter, the standards and contents of knowledge integration were suggested in each process. For the process of knowledge selection, the suitability and the contradictoriness between the text materials and author's thesis were proposed as the standards and contents. For the process of organization and integration, the corresponsive integration, contradictive integration, background integration, synthetic integration were suggested. Finally the procedure knowledge such as correct expression and spelling, source indication were shown for the process of expression and citation. Furthermore, it showed, in terms of expression, the process of paraphrasing frequently practiced in writing textbooks needs to be exercised in the three dimensions including summarization, connection, and interpretation(or transformation). This result, however, calls for the further study about the subdividing processes to enhance the adequateness to writing textbooks in the level of universities and for a more refined syllabus on the systematic knowledge integration. Accordingly, it suggested the tasks mentioned above for further study.

• Korean Journal of School Psychology
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• v.17 no.2
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• pp.145-164
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• 2020

This study aims to validate the Korean Student Career Construction Inventory, a translated measure of career adaptation responses, with Korean college students. In order to do so, this study examines the relevant factor structure, internal consistency, test-retest reliability, criterion-related validity and measurement invariance between Korean undergraduate and graduate students. An online survey was completed by 294 participants, including the questions from the translated Korean Student Career Construction Inventory, in addition to measures of career adaptability and vocational identity. One hundred twenty five among the initial participants were tested again in three months for the examination of test-retest reliability. The results supported the four-factor structure of 18 items suggested by the original measure, as well as measurement invariance. The internal consistency and test-retest reliability were adequate. The Korean Student Career Construction Inventory was positively correlated with career adaptability, unidimensional vocational identity, and the dimensions of exploration and commitment of multidimensional vocational identity, but negatively with the dimension of reconsideration. The findings indicate that the Korean Student Career Construction Inventory has psychometric properties similar to the original form and can be used for both undergraduate and graduate students.

• Journal of Korea Entertainment Industry Association
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• v.14 no.2
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• pp.195-203
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• 2020

Purpose: This study was a descriptive study to investigate on the effect of calling, self-efficacy, workplace bullying on retention intention among nurses in small and medium-sized hospitals. Methods: The research subjects were 224 nurses selected through convenient sampling from among those who have worked six months or longer in seven small and medium-sized hospitals located in G City. The data were collected using a structured questionnaire from July 17 to 30, 2018. The data was analyzed by descriptive statics, a t-test, ANOVA, Scheffé test, Pearson's correlation coefficient, and a stepwise multiple regression using SPSS/WIN 22.0 program. As a measuring tool, Calling was the Calling & Vocational Questionnaire (CVQ) developed by Dik, Eldrige and Steger (2008). Self-efficacy was developed by Sherer et al. (1982) and modified by Jeong Ae-soon (2007). Workplace bullying was developed by Einarsen, Raknes and Matthiesen (1994) in the Norwegian Negative Behavioral Experience Questionnaire (NAQ), and by Nam Woong et al. (2010). The retention intention was to use NRI (Nurses' Retention Index) developed by Cowin (2002) as a tool for Kim Min-jung (2006). Results: Factors affecting nurses' retention were analyzed. The analysis showed that retention intention was positively affected by self-efficacy (β=.24, p<.001), sense of calling (β=.23, p<.001) and annual wage (β=.21, p=.001) and negatively affected by workplace bullying (β=-.16, p=.008) on a statistically significant level, with an explanatory power of 28.6%.

• The Journal of Korean Academy of Sensory Integration
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• v.20 no.3
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• pp.27-37
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• 2022

Objective : This study was adapted into Korean for domestic use of the Sensory Processing and Self-Regulation Checklist (here in after referred to as SPSRC) and verified its content validity. Methods : The Korean version of the SPSRC, which was completed via a translation, content suitability, reverse translation, expert committee review, and content understanding process, was presented to three professors of the Department of Occupational Therapy and seven occupational therapists to confirm the content validity. Results : The content validity index (CVI) of the Korean version of the SPSRC was 0.9 or higher in all 130 items. Additionally, the CVI of all items was also 0.99, showing a high level of content validity result. Conclusion : The Korean version of the SPSRC was confirmed to have high content validity as a tool that can measure children's sensory processing ability and self-regulation ability together. The Korean version of the SPSRC facilitates the understanding and evaluation of children's sensory processing and self-regulation abilities in the clinical field, and is thought to be used to establish an intervention plan.

• Journal of the Korea Society of Computer and Information
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• v.28 no.8
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• pp.21-30
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• 2023

The study proposes a model that utilizes Python-based deep learning text classification techniques to detect the legality of illegal financial advertising posts on the internet. These posts aim to promote unlawful financial activities, including the trading of bank accounts, credit card fraud, cashing out through mobile payments, and the sale of personal credit information. Despite the efforts of financial regulatory authorities, the prevalence of illegal financial activities persists. By applying this proposed model, the intention is to aid in identifying and detecting illicit content in internet-based illegal financial advertisining, thus contributing to the ongoing efforts to combat such activities. The study utilizes convolutional neural networks(CNN) and recurrent neural networks(RNN, LSTM, GRU), which are commonly used text classification techniques. The raw data for the model is based on manually confirmed regulatory judgments. By adjusting the hyperparameters of the Korean natural language processing and deep learning models, the study has achieved an optimized model with the best performance. This research holds significant meaning as it presents a deep learning model for discerning internet illegal financial advertising, which has not been previously explored. Additionally, with an accuracy range of 91.3% to 93.4% in a deep learning model, there is a hopeful anticipation for the practical application of this model in the task of detecting illicit financial advertisements, ultimately contributing to the eradication of such unlawful financial advertisements.