• Journal of Convergence for Information Technology
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• v.11 no.5
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• pp.168-175
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• 2021

This study was conducted to survey the learners' satisfaction with the online head and neck anatomy class and obtain basic data for the purpose of possibly making continuing online class educationally more effective. A Google Forms survey was conducted with dental hygiene students, and 120 copies of the questionnaire were used as data for the final analysis. The study surveyed when they take on online classes and the types of online classes and had the respondents subjectively evaluate their own understanding of the classes and their academic achievements through them. The biggest influence on learning immersion was academic achievement and the biggest influence on the satisfaction with online class was the students' understanding of the class. It is hoped that the research results will shed light on the directions for designing new curriculums in anatomy in this era of a pandemic.

• Smart Structures and Systems
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• v.16 no.2
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• pp.295-328
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• 2015

In recent years the monitoring of structural behavior through acquisition of vibrational data has become common practice. In addition, recent advances in sensor development have made the collection of diverse dynamic information feasible. Other than the commonly collected acceleration information, Global Position System (GPS) receivers and non-contact, optical techniques have also allowed for the synchronous collection of highly accurate displacement data. The fusion of this heterogeneous information is crucial for the successful monitoring and control of structural systems especially when aiming at real-time estimation. This task is not a straightforward one as measurements are inevitably corrupted with some percentage of noise, often leading to imprecise estimation. Quite commonly, the presence of noise in acceleration signals results in drifting estimates of displacement states, as a result of numerical integration. In this study, a new approach based on a time domain identification method, namely the Unscented Kalman Filter (UKF), is proposed for correcting the "drift effect" in displacement or rotation estimates in an online manner, i.e., on the fly as data is attained. The method relies on the introduction of artificial white noise (WN) observations into the filter equations, which is shown to achieve an online correction of the drift issue, thus yielding highly accurate motion data. The proposed approach is demonstrated for two cases; firstly, the illustrative example of a single degree of freedom linear oscillator is examined, where availability of acceleration measurements is exclusively assumed. Secondly, a field inspired implementation is presented for the torsional identification of a tall tower structure, where acceleration measurements are obtained at a high sampling rate and non-collocated GPS displacement measurements are assumed available at a lower sampling rate. A multi-rate Kalman Filter is incorporated into the analysis in order to successfully fuse data sampled at different rates.

• Journal of Korean Biological Nursing Science
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• v.23 no.4
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• pp.330-338
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• 2021

Purpose: This cross-sectional study aimed to identify factors affecting coronavirus disease 2019 (COVID-19) vaccination intention. Methods: For an anonymous online survey, recruitment notices were posted on an anonymous community by each university, and an online survey was conducted through online form from June to July 2021. COVID-19 knowledge and health-protective behavior were measured using a questionnaire based on previous literature and reflecting the Korea Centers for Disease Control and Prevention's COVID-19 Response Guidelines. The psychological antecedents of vaccination were measured by 5C scale. Results: Two-hundred and ninety-four college students (women 67.3%) answered the survey; 179 (60.9%) reported that they would accept a COVID-19 vaccine. The mean scores for COVID-19 knowledge and health-protective behavior were 22.97±5.33 (out of 35) and 9.92±2.22 (out of 12), respectively. For the psychological antecedents of vaccination, the mean scores for confidence, collective responsibility, calculation, complacency, and constraints were 4.45 (± 1.24), 5.61 (± 1.09), 5.09 (± 1.18), 2.42 (± 1.11), and 2.37 (± 1.19) out of 5 points, respectively. The confidence, calculation, and collective responsibility were associated with vaccination intention. Additionally, the top reason for those who were less prone to accept vaccination against COVID-19 was concern about vaccine safety. Conclusion: The higher the confidence in the vaccine and the higher the collective responsibility, the higher the vaccination intention. As it is a factor related to an individual's perception of COVID-19 information, it is necessary to increase confidence in the vaccines through obtaining accurate information on the safety, effectiveness, and side effects of the COVID-19 vaccines and vaccination.

• Journal of Korean Academy of Nursing
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• v.47 no.6
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• pp.806-816
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• 2017

Purpose: As comprehensive nursing care service has gradually expanded, it has become necessary to explore the various opinions about it. The purpose of this study is to explore the large amount of text data regarding comprehensive nursing care service extracted from online news and social media by applying a semantic network analysis. Methods: The web pages of the Korean Nurses Association (KNA) News, major daily newspapers, and Twitter were crawled by searching the keyword 'comprehensive nursing care service' using Python. A morphological analysis was performed using KoNLPy. Nodes on a 'comprehensive nursing care service' cluster were selected, and frequency, edge weight, and degree centrality were calculated and visualized with Gephi for the semantic network. Results: A total of 536 news pages and 464 tweets were analyzed. In the KNA News and major daily newspapers, 'nursing workforce' and 'nursing service' were highly rated in frequency, edge weight, and degree centrality. On Twitter, the most frequent nodes were 'National Health Insurance Service' and 'comprehensive nursing care service hospital.' The nodes with the highest edge weight were 'national health insurance,' 'wards without caregiver presence,' and 'caregiving costs.' 'National Health Insurance Service' was highest in degree centrality. Conclusion: This study provides an example of how to use atypical big data for a nursing issue through semantic network analysis to explore diverse perspectives surrounding the nursing community through various media sources. Applying semantic network analysis to online big data to gather information regarding various nursing issues would help to explore opinions for formulating and implementing nursing policies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.4
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• pp.69-89
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• 2018

This study aims to examine the current status of health-related courses at the graduate level from American Library Association-accredited LIS programs and to identify the core topics and contents that have been covered in those courses by analyzing the course syllabi. Findings reveal that 44 out of 61 Library and Information Science (LIS) programs were offering at least one health-related course and the three most offered courses were 'health information resources', 'health informatics', and 'consumer health information (CHI)'. We collected a total of 21 course syllabi available online in the three areas and further analyzed their course descriptions, weekly topics, readings, and assignments. The findings of the study could be valuable for instructors who want to design or upgrade health-related courses in LIS programs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.10
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• pp.2966-2973
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• 2009

In this article, I propose effective strategies for improving the Predictive Health Care. The results of qualitative study on health information show the following order from the highest score: whether health information is scientifically sound ($3.7\pm0.5$), whether people can easily understand health information ($3.6\pm0.5$), and whether health information reflects the public'sconcerns (($3.5\pm0.5$), and whether health information includes enough information to satisfy the public ($2.9\pm0.6$). The most pressing reforms for the effective Predictive Health Care areto provide enough health information and regularly collection of information because the Predictive Health Care has not provided enough information, authoritative information has rarely been offered, and methodological limitations on producing and applying predictive information have not been addressed. Although the Predictive Health Care provides online services like web-based epidemic reporting system, it needs to extend services from the epidemic information to general health information because of lack of promoting the Predictive Health Care and of credibility of information offered so far. Lastly, the Predictive Health Care needs to strengthen efforts to collect information, form common grounds between information and the public's concerns, clarify classification system of information, and offer an easy way for the public to use information.

• The Journal of Korean Obstetrics and Gynecology
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• v.37 no.1
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• pp.89-103
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• 2024

Objectives: This study analyzed an online survey targeting women and Korean medicine doctors who participated in the Yeosu City Postpartum Health Center Support Project. Through this, we would like to discuss the direction of support for postpartum health care support projects and new policies to encourage childbirth. Methods: In this study, we examined the results of an online survey from 73 women and 29 Korean medicine doctors. We examined 39 items, including basic information, childbirth-related items, Korean medicine treatment-related items, business satisfaction, and policies, answered by 73 women and 29 Korean medicine doctors who responded to the online survey. Results: The average age of women was 33.62±4.19 years, and the average age of Korean medicine doctors was 49.82±8.60 years. Musculoskeletal pain appeared most commonly in both maternal and Korean medicine doctors' online surveys. The visit date from the date of delivery was 36.87±27.06 days. Gungguijohyeol-um and Boheo-tang were widely used. The survey score of women whose main symptoms improved after taking herbal medicine was 3.04±1.15 points, and the survey score of Korean medical doctors was 4.13±0.74 points. The positive response to the policy was 73.7% for satisfaction with the overall policy to encourage childbirth, 54.8% for perceived support, and 65.7% for reduction of economic burden. Conclusions: Women who participated in the postpartum health care support project and received Korean medicine treatment and Korean medicine doctors who performed Korean medicine treatment were very satisfied. The most frequent postpartum symptom was musculoskeletal pain. The degree of improvement in main symptoms after taking herbal medicine was higher among Korean medicine doctors than among women. Among childbirth policies, the areas that should be prioritized are childbirth support projects and postpartum care projects.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.315-320
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• 2015

User Authentication in Online service is essential for accurate and safe service. For this user authentication, One Time Password(OTP) is frequently used. To satisfy one-time-use characteristic of OTP, Offset information to generate OTP or final OTP value get generated through OTP generator or security card which could be lost. In this study, OTP generation method that bypasses OTP generator or security card by using health information collected from u-Health care system is proposed. Suggestion is that health information collected through wearable devices get utilized to offset information that are applied in OTP generations. OTP generated using suggested methods showed similar results than current OTP generation methods in the collision resistance test which tests how often it generate same authentication numbers, this implies that new proposed method can be applied to various on-line services.

• Journal of Information Technology Services
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• v.18 no.5
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• pp.71-83
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• 2019

This study aimed to develop and pilot-test educational program prototypes of training health coaches to help cancer patients overcome crises and create positive growth. For this purpose, the educational contents and methods of the blended learning program prototypes were derived through learner needs and literature analysis. The prototypes, which consist of introducing of health management and health information and understanding and practice of basic coaching and health coaching, were developed to integrate with four sessions of face-to-face, off-line classes, training practices through 12 tele-classes, and use of online learning system. The prototypes were conducted and pilot-tested by a total of 35 students selected through the document screening and the interview. After participating in the blended learning program, learners expressed greater overall satisfaction with each session program (average score = 4.36, with 5 being most satisfied), satisfaction with learning contents (average score=4.42) satisfaction with course preparation (average score = 4.26) and satisfaction with lecture materials (average score = 4.19). The results of this study show that a systematic and integrative approach for designing a blended learning program can be useful for various educational needs in health and medical fields. In the future, empirical studies are expected to see how these curricula are actually implemented and assess whether the intended learning outcomes are achieved.

• Journal of the Korean Data and Information Science Society
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• v.26 no.5
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• pp.1047-1059
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• 2015

This study will predict risk factors associated with cigarettes in Korea by analyzing the social big data collected from the internet such as blogs, cafes, and SNSes in Korea, using data mining techniques. The key analysis results are as follows. First, when "raising cigarette price"is mentioned online, the negative group (i.e., the proportion of people holding negative views about smoking) increased from 58.6% to 74.8%, and when "lung cancer" is mentioned, it increased to 73.1%. Second, with regard to cigarettes in general, the positive group (i.e., the proportion of people holding positive views about smoking) decreased by 5.6% after the raising of cigarette prices, while the negative group increased by 6.1%. Third, when policies related to "FCTC, raising cigarette price, non-smoking laws, smoking regulations, non-smoking ads, and nonsmoking business" are more frequently mentioned online, the positive group tended to decrease. Finally, when "non-smoking drugs, non-smoking patches, and non-smoking gums" are more frequently mentioned online, the positive group tended to decrease. However, when "electronic cigarettes and supplements" are more frequently mentioned online, the positive group increased.