• The Journal of Korean Academic Society of Nursing Education
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• v.16 no.2
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• pp.301-311
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• 2010

Purpose: The study was done to identify variations in Nurses' CPR knowledge, attitude and performance before and after BLS Education. Method: This study was designed to evaluate the differences in Nurses' CPR knowledge, attitude and performance. For the study we selected 167 nurses working in Daegu K University hospital. The study group was given a test before (pre test) and after (post test) BLS education. The BLS education was given by two BLS instructors certified by the American Heart Association, using a DVD and manikin. Result: The results showed a statistically significant difference the nurse's knowledge, belief, emotion and performance but there was no significant difference in their behavior after BLS education. CPR knowledge and performance was higher among emergency room nurses compared to surgical ward nurses. Conclusion: CPR education has shown to have a positive effect on nurses' attitudes towards CPR. It also improved their related knowledge and performance. Therefore, cardiopulmonary education should be given continuously, and different steps of CPR education programs need to be developed in order to fill the knowledge deficiency gap.

• Korean Journal of Computational Design and Engineering
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• v.12 no.3
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• pp.153-162
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• 2007

In this paper, we propose a knowledge-based method for generating CNC torch path for laser cutting of the outlines of planar shapes. The proposed method consists of two main phases: laser cutting knowledge construction and CNC torch path generation using the knowledge. In the first phase, cutting experiments are conducted on various operating parameters, and then empirical data are stored and analyzed to make up the knowledge of laser cutting. With this knowledge, we can inquire what a kerf width is for specific operating parameters. In the second phase, using the knowledge of laser cutting, CNC torch path is generated for cutting the outlines of the given planar shapes. This phase is basically based on the offset generation of each outline by a sequence of arc splines, where the offset distance is the same as the half of the kerf width determined from the constructed knowledge. The proposed method based on laser cutting knowledge makes full use of arc interpolators in CNC torch path generation. The method can efficiently reduce the number of path segments while keeping the torch path within the desired accuracy.

• Korean Journal of Health Education and Promotion
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• v.25 no.4
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• pp.13-28
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• 2008

Objectives: The purpose of this study was to assess general population' AIDS knowledge and attitudes towards AIDS. Methods: Using a multistage area sampling and random digit dialing method, a random sample of individuals aged 19-59 years, living in 16 different area in Korea during September 2007 were interviewed by telephone. Results: In all, 1,087 respondents completed the survey. In most items, respondents displayed a fairly good degree of knowledge about AIDS. However it was lower than that in developed countries. Respondents' attitudes towards AIDS were found to be negative. The knowledge and attitudes towards AIDS were more positive for respondents who were young, educated, office worker or students, higher in income. The higher level of knowledge, the more positive attitudes towards AIDS. Conclusions: In general AIDS related knowledge was relatively low and people showed negative attitudes towards AIDS. Incorrect knowledge and lack of information on AIDS would lead to unnecessary negative attitudes and there need to be addressed by health education programs and campaigns using mass media.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.11
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• pp.569-584
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• 2016

In this paper, we present a spatial knowledge extractor implemented in Hadoop MapReduce parallel, distributed computing environment. From a large spatial dataset, this knowledge extractor automatically derives a qualitative spatial knowledge base, which consists of both topological and directional relations on pairs of two spatial objects. By using R-tree index and range queries over a distributed spatial data file on HDFS, the MapReduce-enabled spatial knowledge extractor, MRSPAKE, can produce a web-scale spatial knowledge base in highly efficient way. In experiments with the well-known open spatial dataset, Open Street Map (OSM), the proposed web-scale spatial knowledge extractor, MRSPAKE, showed high performance and scalability.

• The Transactions of the Korea Information Processing Society
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• v.6 no.2
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• pp.335-346
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• 1999

The process of program debugging is essentially an intelligence intensive process. It is thought viable to develop a knowledge-based tool to help programmer perform this process. This paper presents the design of such a system. Unlike other knowledge-based debugging tools which are mostly based on formal program specification and automatic program understanding, this tool is based on debugging heuristic. This tool is a debugging assistant which only suggests the programmer in program debugging what and where to examine using the debugging heuristic stored in the knowledge base. In this paper, a umber of useful heuristic debugging knowledge are explained and their usage in debugging process are described. The, a scheme to organize the knowledge in the knowledge base and an intelligent program debugging assistant using the knowledge are proposed and discussed.

• Journal of the Korean Society of School Health
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• v.24 no.1
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• pp.1-11
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• 2011

Purpose: This study is a non-equivalent control group pre-post design, which attempted to observe the effects of Basic Life Support Education on undergraduate students' CPR Knowledge and Attitude. Methods: The subjects were 96 undergraduates in Jeonbuk. They were divided into two groups: an experimental group of 46 students and a control group of 50 students. The BLS education was given by three BLS instructors certified by the American Heart Association using a DVD. Data were collected from October 20 to November 15, 2010 and analyzed, using the ${\chi}^2$ test, t-test, and ANCOVA. Results: There were significant differences between the experimental group and the control group in the levels of CPR Knowledge and Attitude. The 1st hypothesis, that the CPR knowledge scores for the experimental group would be higher than those of the control group, was supported (F=157.58, p=.000). The 2nd hypothesis, that the CPR attitude scores for the experimental group would be higher than those of the control group, was supported (F=23.78, p=.000). Conclusion: This study showed that BLS education had a positive influence on undergraduate students' knowledge and attitudes toward CPR. We expect that BLS education will contribute to spreading knowledge of CPR and reducing mortality among heart attack victims, and we can see from this study how CPR training in combination with theory and clinical practice develops knowledge and practical ability.

• Journal of Preventive Medicine and Public Health
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• v.52 no.2
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• pp.109-114
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• 2019

Objectives: The purpose of this study was to characterize Indonesian women's knowledge of HIV/AIDS and to investigate the effects of socio-demographic characteristics thereupon with the goal of supporting the prevention and early detection of HIV/AIDS. Methods: This cross-sectional study was conducted using secondary data from the standard Indonesian Demographic and Health Survey (IDHS) in 2012. A total of 34 984 subjects ranged in age from 15 years to 49 years. Data were analyzed using the chi-square test and logistic regression to identify the effects of socio-demographic characteristics on Indonesian women's knowledge of HIV/AIDS. Results: All socio-demographic characteristics except marital status were related to knowledge of HIV/AIDS among Indonesian women in the univariate analysis (p<0.05). Multivariate analysis revealed that only age group, education level, location of residence, and wealth index were related to Indonesian women's knowledge of HIV/AIDS (p<0.05). Conclusions: Indonesian women's insufficient knowledge related to HIV/AIDS shows that the provision of accurate and comprehensive information related to HIV/AIDS are components of prevention and control interventions that should be improved. With greater knowledge, women are expected to be more likely to determine their own and their partners' human immunodeficiency virus status and to take appropriate preventive steps.

• Journal of Engineering Education Research
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• v.24 no.3
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• pp.50-57
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• 2021

Although the mathematics education process in AI education is a very important issue, little cases are reported in developing effective methods on AI and mathematics education at the university level. The universities cover all fields of mathematics in their curriculums, but they lack in connecting and applying the math knowledge to AI in an efficient manner. Students are hardly interested in taking many math courses and it gets worse for the students in humanities, social sciences and arts. But university education is very slow in adapting to rapidly changing new technologies in the real world. AI is a technology that is changing the paradigm of the century, so every one should be familiar with this technology but it requires fundamental math knowledge. It is not fair for the students to study all math subjects and ride on the AI train. We recognize that three key elements, SW knowledge, mathematical knowledge, and domain knowledge, are required in applying AI technology to the real world problems. This study proposes a modular approach of studying mathematics knowledge while connecting the math to different domain problems using AI techniques. We also show a modular curriculum that is developed for using math for AI-driven autonomous driving.

• Journal of Korean society of Dental Hygiene
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• v.21 no.2
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• pp.141-150
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• 2021

Objectives: This study aimed to investigate oral health-related knowledge in adults and to determine the effect of oral health knowledge on correct brushing and use of dental care products. Methods: The subjects of this study were 552 adults who visited dental clinic, and a self-administered questionnaire was administered. Statistical analysis was performed using the t-test, ANOVA, and multiple regression using the SPSS statistics program (ver. 23.0, IBM Co., Chicago, IL, USA). Results: The oral health knowledge level, correct brushing, and dental care product usage scores were found to be positively correlated (r=0.015, 0.016), and both correlation coefficients were statistically significant (p<0.05). Oral health knowledge was found to have a significant effect on correct brushing among oral health promotion behaviors (β=0.116, p=0.006), but it was not found to have a significant effect on the use of dental care products (β=0.053, p=0.214). Conclusions: Oral health promotion behavior is closely related to oral health knowledge, and it is thought that oral health promotion behavior can be improved by raising oral health knowledge levels.

• Journal of Korea Multimedia Society
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• v.24 no.12
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• pp.1598-1605
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• 2021

Recently, convolutional neural networks (CNNs) have been widely used with excellent performance in various computer vision fields, including super-resolution (SR). However, CNN is computationally intensive and requires a lot of memory, making it difficult to apply to limited hardware resources such as mobile or Internet of Things devices. To solve these limitations, network lightening studies have been actively conducted to reduce the depth or size of pre-trained deep CNN models while maintaining their performance as much as possible. This paper aims to lighten the SR CNN model, SRGAN, using the knowledge distillation among network lightening technologies; thus, it proposes four techniques with different methods of transferring the knowledge of the teacher network to the student network and presents experiments to compare and analyze the performance of each technique. In our experimental results, it was confirmed through quantitative and qualitative evaluation indicators that student networks with knowledge transfer performed better than those without knowledge transfer, and among the four knowledge transfer techniques, the technique of conducting adversarial learning after transferring knowledge from the teacher generator to the student generator showed the best performance.