• Journal of the Korea Institute of Information Security & Cryptology
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• v.19 no.2
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• pp.83-92
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• 2009

As the innovative internet technologies and multimedia are being rapidly developed, malicious codes are a remarkable new growth part and supplied by various channel. This project presents a classification methodology for malicious codes in Windows OS (Operating System) environment, develops a test classification system. Thousands of malicious codes are brought in every day. In a result, classification system is needed to analyzers for supporting information which newly brought malicious codes are a new species or a variety. This system provides the similarity for analyzers to judge how much a new species or a variety is different to the known malicious code. It provides to save time and effort, to less a faulty analysis. This research includes the design of classification system and test system. We classify the malicious codes to 9 groups and then 9 groups divide the clusters according to the each property.

• Journal of Convergence for Information Technology
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• v.11 no.6
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• pp.64-72
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• 2021

The purpose of this study was to investigate the responsibility & critical thinking disposition and identify influencing factors of clinical competence of nursing students who have completed clinical practice. Data collection was performed from Dec. 11th, 2019 to Dec. 13th. A total of 119 4th grade nursing students were selected. Data were analyzed with descriptive statistics, t-test, ANOVA, Scheffé test, Pearson's correlation and stepwise multiple regression analysis using SPSS 25.0. As a result of this study, the correlated factors of clinical competence included responsibility(r=.53, p<.001), critical thinking disposition(r=.71, p<.001). The factors influencing clinical competence were critical thinking disposition(𝛽=.56, p<.001), responsibility(𝛽=.32, p<.001), and clinical practice satisfaction(𝛽=.13, p=.012). These factors accounted for 52% of the clinical competence(p<.001). Therefore, it is necessary to develop and apply educational programs so that concrete and practical education for reinforcing critical thinking disposition and responsibility can be performed together with clinical practice.

• Journal of Korean Society of Rural Planning
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• v.28 no.2
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• pp.33-40
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• 2022

The purpose of this study is to review the effect of previous research data with virtual reality-based Physical Activity Therapy Programs(PATPs) in adult on the physical fitness factors. Research articles were retrieved from 2008 to 2021 with the Research Information Sharing Service(RISS) and Pubmed database. The main search terms were 'care', 'therapy', 'healing', 'exercise' or 'physical activity', and 'virtual reality'. The criteria for selecting articles of this study were the originality, duplication, Randomized controlled trial(RCT) experiment and subject. Finally, 18 papers were selected among 318 articles, which were excluded if any of the criteria was not satisfied. Most of papers(15) were conducted in the last 5 years, because of the high interest due to the development of virtual reality implementation technology and COVID-19 pandemic. The participants were mainly patients(8), and the types of diseases were stroke(2). The physical fitness factors were mostly balance ability(7), muscle strength(7), and range of motion(6). All the physical fitness factors were significantly improved after PATPs. However, 11 studies were conducted for less than 4 weeks, including 6 studies were performed a bout of acute exercise. Also, 14 studies did not clearly present the intensity of PATPs. In addition, there were 9 studies, that simply applied games without specialized programs. In conclusion, it seems that virtual reality-based PATPs have a positive effect on physical fitness factors. However, VR-based PATPs should be specialized and developed in order to verify their effectiveness for the further research.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.212-224
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• 2022

This study aims to provide data on attitudes towards the use of Homecare beauty devices in correlation to narcissism of women between ages 30-59. Through statistical analysis of 563 survey questions, data displayed that respondents' age, level of education, marital status, economic status, and career status showed a strong correlation with implicit narcissism, while explicit narcissism only showed a correlation with age and career status. The most popular skincare location was shown to be 'self-provided at home', and the most popular item purchased being 'galvanic devices'. Secondly, attitudes towards the use of homecare beauty devices in correlation towards implicit narcissistic respondents were only to the consideration of its use, while explicit narcissists displayed a strong correlation between the purchase of a product and the recommendation of others. While this is the first study on attitudes towards homecare beauty devices in relation to a personality-based trait like narcissism and it displayed meaningful results, a more in-depth study in the future dealing with a larger region and respondent groups of a wider age and gender group should be undertaken.

• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.133-142
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• 2021

Travel pattern recognition is widely used in many aspects such as user trajectory query, user behavior prediction, interest recommendation based on user location, user privacy protection and municipal transportation planning. Because the current recognition accuracy cannot meet the application requirements, the study of travel pattern recognition is the focus of trajectory data research. With the popularization of GPS navigation technology and intelligent mobile devices, a large amount of user mobile data information can be obtained from it, and many meaningful researches can be carried out based on this information. In the current travel pattern research method, the feature extraction of trajectory is limited to the basic attributes of trajectory (speed, angle, acceleration, etc.). In this paper, permutation entropy was used as an eigenvalue of trajectory to participate in the research of trajectory classification, and also used as an attribute to measure the complexity of time series. Velocity permutation entropy and angle permutation entropy were used as characteristics of trajectory to participate in the classification of travel patterns, and the accuracy of attribute classification based on permutation entropy used in this paper reached 81.47%.

• Journal of Advanced Technology Convergence
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• v.1 no.2
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• pp.75-81
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• 2022

This study was attempted to understand the relationship between gender sensitivity and rejection sensitivity of nursing students. From August 26 to September 4, 2022, a survey was conducted on 180 people attending nursing universtity in I Metropolitan city, and then analyzed using the SPSS 24.0 Program. As a result of the study, nursing students' gender sensitivity had a high score of openness to gender identity and openness to gender roles, and overreaction was high among the sub-factors of rejection sensitivity. The gender sensitivity of nursing students was statistically significantly higher when female students, under the age of 23, without religion, experienced gender discrimination, and when there were LGBT people among family, relatives, or friends. In addition, rejection sensitivity was statistically significantly higher only when female students. Finally, among the sub-factors of gender sensitivity, there was a positive correlation between introspection and rejection sensitivity. In order to improve the introspection of gender sensitivity for nursing students, it is necessary to include education or programs on rejection sensitivity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.27 no.1
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• pp.41-46
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• 2023

Recently, big data analysis can use various techniques according to the development of machine learning. Big data collected in reality lacks an automated refining technique for the same or similar terms based on semantic analysis of the relationship between words. Since most of the big data is described in general sentences, it is difficult to understand the meaning and terms of the sentences. To solve these problems, it is necessary to understand the morphological analysis and meaning of sentences. Accordingly, NLP, a technique for analyzing natural language, can understand the word's relationship and sentences. Among the NLP techniques, the transformer has been proposed as a way to solve the disadvantages of RNN by using self-attention composed of an encoder-decoder structure of seq2seq. In this paper, transformers are used as a way to form associations between words in order to understand the words and phrases of sentences extracted from big data.

• Journal of Convergence for Information Technology
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• v.12 no.5
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• pp.32-39
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• 2022

The purpose of this study was to identify job stress, resilience, and nursing performance, and to investigate affecting factors of nursing performance on hospital nurses. The subjects consisted of 141 general hospital nurse in the K city. The variables were measured using questionnaires, analyzed using descriptive statistics, t-test, ANOVA, and multiple regression analysis. The average score of job stress was 44.21±9.15, resilience was 2.86±0.65, and nursing performance was 3.78±0.48. The factors influencing on nursing performance were Total Clinical career, Career in present ward, and resilience. The explanation of nursing performance was 37%. These results suggest that it is necessary to consider these factors at the nursing organizational level to promote nursing performance. Also, it is necessary to construct education program that can enhance resilience and find a strategy to realize it.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.105-113
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• 2021

The purpose of this study was to examine the correlation among Cultural empathy, Multicultural sensitivity, and Cultural competence of Nursing Students. Data were collected using questionnaires from 191 nursing students who were in 2rd and 4^th year of the college in D city. The collected data was analyzed using SPSS version 22.0. The mean score of Cultural empathy, Multicultural sensitivity and Cultural competence in nursing students were 3.72±0.23, 3.14±0.27, and 3.10±0.32 respectively. Cultural empathy showed significant positive correlations with Multicultural sensitivity(r=.63, p<.001), and Cultural competence(r=.57, p<.001). Multicultural sensitivity was also positively correlated with Cultural competence(r=.41, p<.001). The result of this study suggest that multicultural nursing education is necessary for students to develop and support programs that can provide diverse cultural experiences.

• Journal of Advanced Technology Convergence
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• v.2 no.3
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• pp.33-41
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• 2023

This study aimed to improve the quality of classes through the application experience analysis after applying the adult nursing simulation practice modules with PBL. Quantitative and qualitative data such as from satisfaction, validity, self-reflection, and lecture evaluation in 68 nursing students were analyzed after the semester. Satisfaction was 4.64 points out of 5 points, and 'I want to recommend this class to other friends' was the highest. It was appropriate for the validity as 64.7% to 100% positve answer. From the qualitative data analysis of lecture evaluation, it was categorized into 5 thematic groups : 'increased immersion related to a lively class environment', 'growth of knowledge and skills through learners' active participation', 'improvement of mutual collaboration skills through team-based problem-solving process', 'Improvement of problem-solving ability through situational crisis coping process' and 'Improvement of individual comprehension through close teaching'. The continuous development of PBL learning strategies and development of various scenarios are required in the future.