• Journal of Korean Academy of Fundamentals of Nursing
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• v.11 no.1
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• pp.21-30
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• 2004

Purpose: The purpose of this study was to explore perception of clinical experience between the initial and final practice and to explore changes in the perception of clinical experience. Method: The study used a Q-method to measure perception of clinical practice. Thirty-six statements made up the finalized Q-sample. The P sample used thirty three nursing college students from K university. The initial collection was done in the first semester of their junior year and second collection was done in the last semester of their senior year. The Q-sorts by each student were coded and analysed with the Quanl PC program. Result: Many students classified as having the perception type 'alienation of ideal and reality' or 'perception of limitation of ability' in the initial clinical practice changed to the type, 'active participation' by the final clinical practice. Further, in the initial clinical practice, part of 'active participation' and 'perception of limitation of ability' changed to 'alienation of ideal and reality'. Conclusion: This study shows that perception of their clinical practice by student nurses changed in a positive direction through clinical experience and that this fact was related to the level of satisfaction with nursing. The knowledge and understanding obtained in this research provide insights for nursing faculty and students involved in nursing education.

• Research in Community and Public Health Nursing
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• v.31 no.1
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• pp.34-42
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• 2020

Purpose: The objective of this study was to identify whether spirituality mediates the relationship between empathy and elderly care performance among Long Term Care (LTC) hospitals nurses in Korea. Methods: The data collection was performed July 1st to August 31th, 2018. Participants were 119 nurses from three long-term care hospitals in Korea. Self-reported questionnaires were administered to assess general characteristics, empathy, spirituality and elderly care performance. The data were analyzed using descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and three-stage simple and multiple regression analysis as proposed by Baron and Kenny. Results: The level of elderly care performance of participants was significantly different based on age (F=3.92, p=.010) and nurse's position (t=-2.18, p=.031). Spirituality had a significant mediating effect on the relationship between empathy and elderly care performance (Z=3.64, p<.001). Conclusion: As spirituality completely mediates the relationship between empathy and elderly care performance, it is necessary to develop a nursing education program that applies spirituality and empathy and supports religious activities at an institutional level.

• Journal of Korea Multimedia Society
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• v.21 no.5
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• pp.626-637
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• 2018

Human exchanges information not only through words, but also through body gesture or hand gesture. And they can be used to build effective interfaces in mobile, virtual reality, and augmented reality. The past 2D gesture recognition research had information loss caused by projecting 3D information in 2D. Since the recognition of the gesture in 3D is higher than 2D space in terms of recognition range, the complexity of gesture recognition increases. In this paper, we proposed a real-time gesture recognition deep learning model and application in 3D space using deep learning technique. First, in order to recognize the gesture in the 3D space, the data collection is performed using the unity game engine to construct and acquire data. Second, input vector normalization for learning 3D gesture recognition model is processed based on deep learning. Thirdly, the SELU(Scaled Exponential Linear Unit) function is applied to the neural network's active function for faster learning and better recognition performance. The proposed system is expected to be applicable to various fields such as rehabilitation cares, game applications, and virtual reality.

• East Asian mathematical journal
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• v.39 no.3
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• pp.369-376
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• 2023

In this paper, we provide Sawyer type conditions on a pair of weights so that the dyadic paraproduct π_b is bounded from L²(u) into L²(v). The conditions can be obtained by checking the boundedness of the dyadic paraproduct on a collection of test functions.

• Proceedings of the Korean Society of Computer Information Conference
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• 2021.07a
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• pp.225-228
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• 2021

본 연구는 스마트폰 중독과 관련된 다양한 분석을 위한 스마트폰 사용 앱과 관리자 웹을 개발하고자 한다. 연구방법으로 이전 연구에서 중요한 변수로 작용되었던 '화면 켠 횟수', '실사용시간-인지사용시간' 변수를 분석할 있도록 적용하여 스마트폰 사용시간, 사용량, 사용 앱, 화면 잠금을 해제한 횟수 등 다양한 데이터 수집이 가능한 앱을 개발한다. 관리자 웹은 수집된 데이터를 저장, 분석할 수 있는 공간으로 사용할 것이다. 앱에서 수집된 데이터는 서버에 전송한 후, 시각화 분석 기능을 제공하는 관리 프로그램으로 개발하여 스마트폰 중독 연구에 사용한다. 향후 데이터 수집과 사용 목적에 동의한 사용자를 모집하여 데이터를 수집하고 스마트폰 사용 패턴, 데이터마이닝, 중독 등과 관련된 다양한 분석을 할 것이다. 이를 통해 보다 정확하고 효과적인 스마트폰 중독 진단이 가능해질 것과 나아가 스마트폰 중독 치료방안 연구에 기여할 것으로 기대한다.

• Journal of Distribution Science
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• v.22 no.6
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• pp.107-114
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• 2024

Purpose: The current research investigates historical and future trends of tourist distribution channels in the tourism services business. The research examines historical patterns, current shifts, and new technologies in electricity distribution to offer insight into the distribution dynamics and advice for companies and regulators. Research design, data and methodology: The research in this case specifically employed the PRISMA approach when it comes to the data collection and research methodology. (PRISMA). The process is specifically made up of four steps, such as (1) Identification of Relevant Studies, (2) Screening and Selection Procedures, (3) Data Synthesis and Analysis, and (4) Reporting of Findings. Results: The fast-changing technology offers all opportunities to innovate the sector of tourism services. These upcoming technologies are not just reconstructing the way customers interact and operate but they are also creating room for development. Besides "the utilization of new technologies such as artificial intelligence, augmented reality, virtual reality, and blockchain, the current state of tourism distribution channels also implies some other possible consequences. Conclusions: These research results show that we should not be reluctant about adopting new technologies, we should expand direct booking systems, promote eco-friendly tourism, and use data analytics in order to provide personalized experiences.

• 한국생물공학회:학술대회논문집
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• 2003.04a
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• pp.34-38
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• 2003

For the production of $B^{30}-homoserine$ insulin analog as a novel anti-diabetic drug, the fermentative study was attempted for the maximal gene expression of HTS-fused $B^{30}-homoserine$ insulin precursor in the recombinant Escherichia coli cells. In a batch fermentation, the maximal production of insulin precursor as much as 38.95 mg/L-h, which occupied more than 12.8% of total cell protein. was achieved when the gene expression was induced by 0.5 mM IPTG at the middle logarithmic growth phase. The HTS-fused $B^{30}-homoserine$ insulin precursor was recovered from a batch culture through the processes of cell harvest, collection of insoluble fraction after sonication and purification by nickel affinity column chromatography. The isolated insulin precursor was 14 mg/L with a recovery yield of 35.9% of expressed gene product. The insulin A and B chain mixture was recovered after the insulin precursor was subjected to CNBr cleavage and purified by nickel affinity column chromatography. The isolated insulin chains were then sulfitolyzed with sodium thiosulfat and sodium tetrathionate, and reconstituted to insulin analog with ${\beta}-mercaptoethanol$, followed by purification with CM-Sepharose C-25 column chromatography.

• Journal of Korea Multimedia Society
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• v.25 no.9
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• pp.1251-1256
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• 2022

Auscultation of heart sounds using a stethoscope is the basic method to diagnose the cardiovascular disease and observation of abnormalities. However, the heart sound transmitted to the ear through the stethoscope is greatly affected by internal sounds such as organ movement or breathing. In addition, the user's experience significantly influences the accuracy of the auscultation result. Therefore, in this paper, we developed a wearable device that simultaneously measures heart sound and PPG signals for cardiac condition monitoring. The structure of the proposed device is designed to simultaneously measure heart sound and PPG signals when worn on a finger and placed on the chest. A prototype was implemented according to the design structure, and it was confirmed that the performance of measurements and collection for physiological signals was excellent through experiments.

• Journal of Korean Biological Nursing Science
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• v.13 no.1
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• pp.8-15
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• 2011

Purpose: The purpose of this study was to analyze effects of hand drying methods after hand-washing. Hand drying methods consisted of spontaneous evaporation, paper towel, hand dryer with rubbing, and hand dryer without rubbing. Methods: The research design was a crossover design. The subjects were eighteen university students and randomly assigned in four group. Each group had the schedule of treatment. The schedule tested one drying method per a day and proceeded for 4 days. The data collection was performed from July 27 to July 30, 2010. Data were analyzed by Kruskal-Wallis, Mann-Whitney and Wilcoxon test. Results: There was significant difference between the after CFU between natural dry, paper towel, air dryer with hand rubbing, and air dryer without hand rubbing(p=.006). The after CFUs of paper towel, natural dry and air dryer without hand rubbing groups were statistically less than air dryer with hand rubbing group. Conclusion: It was shown that the paper towel, spontaneous evaporation and without rubbing hand dryer are effective hand drying interventions on reducing CFU on hand. However additional researches with large sample and strict methodology are needed.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.159-165
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• 2024

This study investigates the comprehensive system for collecting intelligent learning activity data tailored to learner-centered personalized education. We compared and analyzed the characteristics of xAPI, Caliper analytics, and cmi5, which are learning activity data collection standards, and established a system that allows not only standardized data but also non-standardized learning activity data to be stored as big data for artificial intelligence learning analysis. As a result, the system was structured into five stages: defining data types, standardizing learning data using xAPI, storing big data, conducting learning analysis (statistical and AI-based), and providing learner-tailored services. The aim was to establish a foundation for analyzing learning data using artificial intelligence technology. In future research, we will divide the entire system into three stages, implement and execute it, and correct and supplement any shortcomings in the design.