• Research in Community and Public Health Nursing
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• v.4 no.2
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• pp.100-108
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• 1993

The purpose of this study was to identify the workers the Knowledge, Attitude, and Practice of industrial health care services. The study was conducted from Dec 10, 1992 to Jan 20, 1993. The data was collected from 849 workers in 56 companies in Busan City. The data was analyzed by using the mean, S.D>, T-test, ANOVA. The tool for measuring the degree of Knowledge, Attitude and Practice of industrial health care of workers was developed by community health nursing academy and the reliability an of the tool was 0.82810. The results were as follows : 1. The general characteristics of workers : Distribution of workers consisted of laborer(55.0%), office workers(45.0%), in an age range from 25-39(55.0%), male employees were(69.7%), married employees were(62.4%), the educational level with the highest percentage was high school graduates(54.2%). The present work force had a career for 7 years or more with an income of 300-700 thousand won monthly(43.2). 2. The degree of Knowledge Attitude and Practice about industrial health care services of workers : The total score of the Knowledge, Attitude, and Practice was 49.09 points out of a possible 80(mean Score=2.46) 1) The total score of the Knowledge was 15.73 points out of 24. (Mean score=2.62) The following are the Knowledge scores: The necessity examination of occupational disease was(3.34) The knowledge of occupational disease was (3.12) The knowledge of health education was(1.29) 2) b. The total score of the Attitude was 26.01 point out of 44(mean score=2.36) The following are the Attitude scores: The necessity of health education for health examination was (3.14). The importance of health examination was(3.08) The necessity of measurement for working environment was(2.99). The satisfaction of the content in the periodic health examination was low(1.81). 3) The total score of the Practice was 7.35 points out of 12(mean score=2.45) The following are the orders of Practice scores: The participation in health examination was higher than in health education(1.33). 3. The general characteristics and the degree of knowledge, Attitude, and Practice of workers of industrial health care. 1) The level of worker's knowledge was significantly related by working part(t=2.54 P=0.000), marital status(F=4.35 P=0.029), educational level(F=3.91 and P=0.020), monthly income(F=2.98 P=0.029) 2) There were no significant difference between the general characteristics and the attitude of workers. 3) The practice was significantly related with working part(T=2.52 P=0.012), sex(T=2.28 P=0.23), marital status(F=4.25 P=0.012), monthly income (F=2.76 P=0.034) 4) The total score had a significant difference with working part(T=2.39 P=0.017), sex (T=3.84 P=0.000), marital status (F=3.18 P=0.032). Educational level (F=3.20 P=0.033), and monthly income(F=3.05 P=0.022).

• Korean Journal of Adult Nursing
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• v.12 no.3
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• pp.477-489
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• 2000

The purpose of study was to assess how hospital nurses practice their health promoting lifestyle and to identify affecting factors. The subjects were 286 nurses working at three general hospitals in Kwang-ju. The data were collected by questionnaire from September 1st. to September 10th, 1999. The instruments for this study were the Health Promoting Lifestyle Profile developed by Walker et al., perceived health status scale developed by Ware et al., self-efficacy scale developed by Sherer et al., and social support scale developed by Cohen et al.. The data were analyzed with mean, standard deviation, t-test, ANOVA, Pearson's Correlation Coefficient and Stepwise Multiple Regression. The results of this study were as follows: 1. The mean score of health promoting lifestyle was 2.36. Interpersonal support showed the highest score(2.67) and health responsibility (1.92) showed the lowest score. The mean score of perceived health status was 3.07, self-efficacy was 2.62, and social support was 2.91. 2. The relationship between general characteristics of subjects and health promoting lifestyle showed significant differences according to duty cycle(t=4.15, p=.042), disease experience (t=5.18, p=.023), monthly income(F=3.13, p=.025), exercise frequency(F=9.12, p=.000), stress reliefe method(F=5.98, p=.000), job satisfaction(t=11.44, p=.000), and perceived fatigue(F=6.13, p=.002). 3. Health promoting lifestyle showed significant positive correlations with perceived health status (r=.2190, p=.0002), self-efficacy (r=.5137, p=.0001) and social support (r=.5181, p=.0001). 4. The combination of social support(27.1%), exercise frequency(10.4%), self-efficacy(8.8%), job satisfaction, perceived health status, perceived fatigue and explained 53.5% of the variance of health promoting lifestyle. Therefore, this study suggests that a replicate study is needed until more affecting factors other than health promoting lifestyle.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.580-585
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• 2014

This paper conducts a variety of experiments for "the extraction of Korean parallel sentences using Wikipedia data". We refer to various methods that were previously proposed for other languages. We use two approaches. The first one is to use translation probabilities that are extracted from the existing resources such as Sejong parallel corpus, and the second one is to use dictionaries such as Wiki dictionary consisting of Wikipedia titles and MRDs (machine readable dictionaries). Experimental results show that we obtained a significant improvement in system using Wikipedia data in comparison to one using only the existing resources. We finally achieve an outstanding performance, an F1-score of 57.6%. We additionally conduct experiments using a topic model. Although this experiment shows a relatively lower performance, an F1-score of 51.6%, it is expected to be worthy of further studies.

• Journal of the Institute of Convergence Signal Processing
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• v.22 no.4
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• pp.206-212
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• 2021

Society is developing more and more, and communication methods are developing in many ways. However, developed communication is a way for the non-disabled and has no effect on the deaf. Therefore, in this paper, a CNN-based sign language translation program is designed and implemented to help deaf people communicate. Sign language translation programs translate sign language images entered through WebCam according to meaning based on data. The sign language translation program uses 24,000 pieces of Korean vowel data produced directly and conducts U-Net segmentation to train effective classification models. In the implemented sign language translation program, 'ㅋ' showed the best performance among all sign language data with 97% accuracy and 99% F1-Score, while 'ㅣ' showed the highest performance among vowel data with 94% accuracy and 95.5% F1-Score.

• Smart Media Journal
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• v.12 no.3
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• pp.9-18
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• 2023

Due to the deepening of COVID-19, high-intensity social distancing has been prolonged and many social problems have been cured. In particular, physical and psychological isolation occurred due to the non-face-to-face system and a lot of damage occurred. The various social problems caused by Corona acted as severe stress for all those affected by Corona 19, and eventually acted as a factor threatening mental health such as depression. While the number of people suffering from mental illness is increasing, the actual use of mental health services is low. Therefore, it is necessary to establish a system for people suffering from mental health problems. Therefore, in this study, depression detection and emergency detection models were constructed based on sensor information using smartphones from depressed subjects and general subjects. For the detection of depression and emergencies, VAE, DAGMM, ECOD, COPOD, and LGBM algorithms were used. As a result of the study, the depression detection model had an F1 score of 0.93 and the emergency situation detection model had an F1 score of 0.99. direction.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.689-697
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• 2023

Purpose: The purpose of this study is to automatically extract information on underground facilities using a general-purpose smartphone in the process of applying the mini-trenching method. Method: Data sets for image learning were collected under various conditions such as day and night, height, and angle, and the object detection algorithm used the R-CNN algorithm. Result: As a result of the study, F1-Score was applied as a performance evaluation index that can consider the average of accurate predictions and reproduction rates at the same time, and F1-Score was 0.76. Conclusion: The results of this study showed that it was possible to extract information on underground buried materials based on smartphones, but it is necessary to improve the precision and accuracy of the algorithm through additional securing of learning data and on-site demonstration.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.12
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• pp.1786-1793
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• 2022

Cyber-attacks such as smishing and hacking mail exploiting COVID-19, political and social issues, have recently been continuous. Machine learning and deep learning technology research are conducted to prevent any damage due to cyber-attacks inducing malicious links to breach personal data. It has been concluded as a lack of basis to judge the attacks to be malicious in previous studies since the features of data set were excessively simple. In this paper, nine main features of three types, "URL Days", "URL Word", and "URL Abnormal", were proposed in addition to lexical features of URL which have been reflected in previous research. F1-Score and accuracy index were measured through four different types of machine learning algorithms. An improvement of 0.9% in a result and the highest value, 98.5%, were examined in F1-Score and accuracy through comparatively analyzing an existing research. These outcomes proved the main features contribute to elevating the values in both accuracy and performance.

• Journal of Acupuncture Research
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• v.41 no.1
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• pp.53-62
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• 2024

Background: The aim of this study is to determine the correlation between clinical assessment scales, self-assessment scales, and surface electromyography (SEMG) for facial nerve palsy. Methods: This study assessed 32 cases of facial nerve palsy on the first visit, 11 cases on the second visit, and 9 cases on the third visit to the Korean medicine hospital, university. This study was conducted from October 22, 2022, to December 22, 2022. The patients were evaluated using SEMG, clinical assessment scales, and self-assessment scales 3 times. The House-Brackmann grading systems (HBGS), Yanagihara unweighted grading system (Y-score), facial disability index, numerous rating scale, and accompanying symptoms of facial nerve palsy were used for assessment. Moreover, statistical correlation was analyzed using Pearson correlation. Results: On Visit 1, Significant correlations were observed between the results of SEMG and other clinical assessment scales as well as between SEMG-F (frontalis) and different parts of the Y-score. On Visit 2, significant correlations were observed between the results of SEMG and HBGS as well as between SEMG-F and the detailed parts of the Y-score. On Visit 3, significant correlations were observed only between SEMG-F and the detailed parts of the Y-score. A significant correlation was also observed between the changes in the clinical assessment scales on Visits 1 and 3 and between the changes in SEMG-F and those in the patient self-assessment scales. Conclusion: These findings suggest that SEMG can be used to evaluate facial nerve palsy in conjunction with the use of other clinical assessment scales.

• Research in Community and Public Health Nursing
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• v.13 no.4
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• pp.710-718
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• 2002

Purpose: The purpose of this study was to identify the relationship between fatigue, and self-efficacy in patients with lung cancer. Method: The data was collected from January 21th to April 8th 2001. The study subjects were recruited from K hospital in Pusan, Korea. Their fatigue was measured using the 22-item Revised Piper Fatigue Scale developed by Piper et al. (1998) and translated by the investigators, and self-efficacy was measured using the 10-item General Self-efficacy Questionnaire developed by Lee, Schwarzer & Jerusalem. The data were analyzed by SPSS 10.0 program using frequency, percentage, mean and standard deviation, t-test, ANOVA, Post-hoc test (Scheffe's test), and Pearson Correlation Coefficients. Result: 1) The mean fatigue score was $118.48{\pm}33.02$ (range: 22-220). The scores for sub-dimension were $35.40{\pm}10.06$ in behavior/severity, $25.98{\pm}9.06$ in affective score, $27.88{\pm}10.06$ in sensory score, and $29.22{\pm}8.27$ in cognitive/mood. The mean self-efficacy score was $28.80{\pm}5.85$. 2). There were significant differences in the fatigue of patients with lung cancer on income per month (F=4.651, p= .014), 'present pain' (F=2.601, p= .012), 'change of weight' (F=5.911, p= .005), by general characteristics. 3) There were significant differences in the self-efficacy of patients with lung cancer on 'religion' (F=3.732, p= .031), 'employment status' (F=5.525, p= .003), 'past therapy' (F=2.869, p= .034), by general characteristics 4) There was a significant negative correlation between fatigue and self-efficacy (r=- .528, p= .000). Conclusion: Patients with lung cancer experience fatigue. Increased fatigue is associated with decreased self-efficacy. Nurses must provide patients with nursing care for the less occurrence of fatigue and interventions to manage self-efficacy for them.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.8 no.2
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• pp.160-171
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• 2001

Purpose: The purpose of study was to identify the relationship between body image and self-esteem in patients with chronic renal failure. Method The subjects of study were 97 patients with chronic renal failure who were outpatients at K medical center. B hospital, H hospital in Busan. Data were collected from Nov 15th to Dec. 17th, 1999. The instruments used for study were the Body Cathexis Scale and Rogenberg's Self-esteem Scale. Collected data were analyzed by frequency, percentage, mean, standard deviation, t-test, ANOVA, Scheffe test, and Pearson's correlation coefficients. Result: 1 The mean score for body image was $137.46{\pm}22.21$, the mean mark $2.92{\pm}0.47$, and the mean score of self-esteem was $30.80{\pm}8.76$, the mean mark $3.08{\pm}0.87$. 2. There was a significant difference in the score for body image according to educational level (F=5.189, P=.002) and type of residence (F=6.095. P=.001). 3. There was a significant difference in the score for self-esteem according to age (F=3.615, P=.009), educational level (F= 4.772, P=.004), marital status (F=3.498 P=.019) and presence of children (F=2.511, P=.014). 4. Body image in patients with chronic renal failure patients showed significant correlation with self-esteem (r=.519, P=.000). Conclusion: From this study, a relationship between body image and self-esteem in patients with chronic renal failure was identified. Therefore, nursing interventions are needed to promote body image and self esteem in patients with chronic renal patients.