• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.13 no.11
• /
• pp.5025-5032
• /
• 2012

The purpose of this study is to compare the working memory and the phonological awareness between Children with multi-cultural families and general families. The research subjects were 15 multi-cultural and 15 general primary school students who were attending 1st-3rd grade in D city. Working memory tested K-TTFC-2 by standardized tool. Phonological awareness abilities was considering the age of the subjects, tested phoneme awareness. Data process was conducted by t -test and frequency test in SPSS program. The results were as follows. First, working memory comparison of both groups showed significant differences. Especially had significant difference in chapter 1, chapter 4. Second, comparison of phonological awareness between both groups showed significant statistic differences. Third, the Phonological awareness comparison of both groups showed that there are differences in sound matching(word medial coda), substituting middle sound in monosyllabic words, phoneme switching. This research result is considered that can be used as the fundamental data for the development of the therapy data considering the working memory and the phonological awareness of children with multi-cultural families.

• KIISE Transactions on Computing Practices
• /
• v.22 no.11
• /
• pp.583-590
• /
• 2016

Recently, the rapidly increasing interest in IoT in almost all areas of casual human life has led to wide acceptance of speech recognition as a means of HCI. Simultaneously, the demand for speech recognition systems for mobile environments is increasing rapidly. The server-based speech recognition systems are typically fast and show high recognition rates; however, an internet connection is necessary, and complicated server computation is required since a voice is recognized by units of words that are stored in server databases. In this paper, we present a novel method for recognizing the Korean vowel 'ㅗ', as a part of a phoneme based Korean speech recognition system. The proposed method involves analyses of waveform patterns in the time domain instead of the frequency domain, with consequent reduction in computational cost. Elementary algorithms for detecting typical waveform patterns of 'ㅗ' are presented and combined to make final decisions. The experimental results show that the proposed method can achieve 89.9% recognition accuracy.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.19 no.6
• /
• pp.219-225
• /
• 2019

There is a problem with the existing method of selecting the difficulty levels of Hanja characters. Some Hanja characters selected by the existing methods are different from Sino-Korean words used in real life and it is impossible to know how many times the Hanja characters are used. To solve this problem, we measure the difficulty of Hanja characters using the multiple regression analysis with the frequency as the features. Based on the elementary textbooks, FWS and FHU are counted. A questionnaire is written using the two frequencies and stroke together to answer the appropriate timing of learning the Hanja characters and use them as target variables for regression. Use stepwise regression to select the appropriate features and perform multiple linear regression. The R² score of the model was 0.1105 and the RMSE was 0.1105.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.17 no.4
• /
• pp.945-952
• /
• 2013

The R wave of QRS complex is the most prominent feature in ECG because of its specific shape; therefore it is taken as a reference in ECG feature extraction. But R wave detection suffers from the fact that frequency bands of the noise/other components such as P/T waves overlap with that of QRS complex. ECG signal processing must consider efficiency for hardware and software resources available in processing for miniaturization and low power. In other words, the design of algorithm that exactly detects QRS region using minimal computation by analyzing the person's physical condition and/or environment is needed. Therefore, efficient QRS detection based on SOM(Subtractive Operation Method) is presented in this paper. For this purpose, we detected R wave through the preprocessing method using morphological filter, empirical threshold, and subtractive signal. Also, we applied dynamic backward searching method for efficient detection. The performance of R wave detection is evaluated by using MIT-BIH arrhythmia database. The achieved scores indicate the average of 99.41% in R wave detection.

• Journal of the Korean Applied Science and Technology
• /
• v.37 no.6
• /
• pp.1605-1618
• /
• 2020

The purpose of this study was to investigate the effect of beauty healthcare behaviors of middle-aged women on physical esteem and psychological well-being. The subjects of this study were middle-aged women in Seoul and Gyeonggi area, and surveyed for 6 weeks starting from October 26, 2020, and 334 words were used for analysis. The analysis method used the SPSS 26.0 program to perform frequency analysis, factor analysis, and reliability analysis. To find out the correlation between beauty healthcare, physical esteem, and psychological well-being for middle-aged women, correlation analysis and multi-regression analysis were performed. the statistical significance level was set to p<.05. It was confirmed that beauty healthcare behavior had a statistically significant effect on physical esteem and psychological well-being.

• The Journal of the Korea Contents Association
• /
• v.21 no.12
• /
• pp.132-139
• /
• 2021

This corpus-driven research expounded the compilation of the most frequently occurring academic words in the domain of syntax and compared the extracted wordlist with Academic Word List(AWL) of Coxhead(2000) and General Service List(GSL) of West(1953) to examine their distribution and coverage within the syntax corpus. A specialized 546,074 token corpus, composed of widely used must-read syntax textbooks for English education majors, was loaded into and analyzed with AntWordProfiler 1.4.1. Under the parameter of lexical frequency, the analysis identified 288(50.5%) AWL word forms, appeared 16 times or more, as well as 218(38.2%) AWL items, occurred not exceeding 15 times. The analysis also indicated that the coverage of AWL and GSL accounted for 9.19% and 78.92% respectively and the combination of GSL and AWL amounted to 88.11% of all tokens. Given that AWL can be instrumental in serving broad disciplinary needs, this study highlighted the necessity to compile the domain-specific AWL as a lexical repertoire to promote academic literacy and competence.

• Journal of Internet of Things and Convergence
• /
• v.8 no.4
• /
• pp.57-63
• /
• 2022

The purpose of this study is to provide basic data on policy development using big data analysis and machine learning algorithms as part of preparing measures to prevent child abuse. In order to analyze big data for developing machine learning algorithms to prevent child abuse, frequency analysis, related word analysis, and emotional analysis were performed after defining academic databases and social network service data as big data. related words, and emotional analysis were conducted. As a result of the study, a preventive child abuse algorithm can be developed by preparing a data collection and sharing network system to prevent child abuse from the perspective of children affected by child abuse, perpetrators, and government authorities. Although it will be possible by institutionalizing infant self-esteem, depression, and anxiety tests with clues that depression and anxiety appear due to a decrease in self-concept in the characteristics of children affected by child abuse. We suggest that continuous progress of big data collection and analysis and algorithm development research to prevent child abuse, and expects that effective policies to prevent child abuse will be realized to eradicate child abuse crimes.

• Journal of Industrial Convergence
• /
• v.21 no.4
• /
• pp.111-121
• /
• 2023

The purpose of this study is to provide basic data for improving life satisfaction by verifying the mediating effect of self-esteem in the relationship between physical health awareness, depression, self-esteem, and life satisfaction of middle-aged. Analysis data were collected through online and offline questionnaires for 320 middle-aged people for 10 days from August 15, 2021, and the SPSS WIN 23.0 program was used. As for the analysis method, frequency analysis, descriptive statistical analysis, and correlation analysis Baron & Kenny (1986) were performed in three stages of regression analysis. The research results showed First, that physical health awareness and depression of middle-aged people had a statistically significant effect on life satisfaction. Second, in the relationship between physical health awareness and life satisfaction, self-esteem showed a partial mediating effect. Third, in the relationship between depression and life satisfaction, self-esteem showed a partial mediating effect. In other words, in order to improve life satisfaction for middle-aged people, the basis for improving physical health awareness and self-esteem and reducing depression was prepared, and implications and suggestions for practice were presented.

• Journal of East-West Nursing Research
• /
• v.26 no.2
• /
• pp.118-129
• /
• 2020

Purpose: The purpose of this study was to analyze the topic trend of domestic simulation nursing education research using text network analysis(TNA). Methods: This study was conducted in four steps. TNA was performed using the NetMiner (version 4.4.1) program. Firstly, 245 articles from 4 databases (RISS, KCI, KISS, DBpia) published from 2008 to 2018, were collected. Secondly, keyword-forms were unified and representative words were selected. Thirdly, co-occurrence matrices of keywords with a frequency of 2 or higher were generated. Finally, social network-related measures-indices of degree centrality and betweenness centrality-were obtained. The topic trend over time was visualized as a sociogram and presented. Results: 178 author keywords were extracted. Keywords with high degree centrality were "Nursing student", "Clinical competency", "Knowledge", "Critical thinking", "Communication", and "Problem-solving ability." Keywords with high betweenness centrality were "CPR", "Knowledge", "Attitude", "Self-efficacy", "Performance ability", and "Nurse." Over time, the topic trends on simulation nursing education have diversified. For example, topics such as "Neonatal nursing", "Obstetric nursing", "Pediatric nursing", "Blood transfusion", "Community visit nursing", and "Core basic nursing skill" appeared. The core-topics that emerged only recently (2017-2018) were "High-fidelity", "Heart arrest", "Clinical judgment", "Reflection", "Core basic nursing skill." Conclusion: Although simulation nursing education research has been increasing, it is necessary to continue studies on integrated simulation learning designs based on various nursing settings. Additionally, in simulation nursing education, research is required not only on learner-centered educational outcomes, but also factors that influence educational outcomes from the perspective of the instructors.

• Journal of Korean Society of Steel Construction
• /
• v.28 no.5
• /
• pp.365-371
• /
• 2016

In the case of the superstructure which is consist of two I girders and slab, the section can behave as II section, so that the neutral axis with respect to out of plane direction flexure can be regarded as major axis. Therefore in-plane flexural mode might govern the free vibration mode. Meanwhile, horizontally curved girders always experience not only bending moments but also torsional moments although the primary load is usually supposed to be gravitational load. The interaction due to bending and torsional moments make the behavior complicated and torsional mode may govern the free vibration mode. In other words, structure can have different dynamic characteristic due to its initial curvature. In this research, using 3-dimensional sell elements, free-vibration analyses are carried out due to initial curvature. The analysis models are assumed to be composite and non-composite and finally natural frequency and eigen mode are discussed.