• Journal of Korean society of Dental Hygiene
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• v.19 no.3
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• pp.399-408
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• 2019

Objectives: In this study, by a professional who provides medical services by gauging the level of personality recognition among dental hygienists, the basic data is provided to suggest the need for personality education in dental hygienists' education. Methods: A questionnaire survey was conducted with the members attending conservative education in 2018, and the results of the analysis of the total of 348 members were as follows. Results: The average age of the participants was 31.6 years, and their average career duration was 9.4 years. The total personality score was 3.74 points. The highest score was 4.10 points for conscience, and the lowest score was 2.98 points for habit. In terms of differences between general characteristics and personality domains, the personality perception score was statistically significantly higher for hygienists who were married than for those with a higher education level and working at a higher hospital level. There was a statistically significant positive correlation between the personality domains and the highest competence domain (r=0.790) in relation to total personality. The higher the competency, the higher the total score. Conclusions: Personality is not a part of being formed in the short term. It should be recognized that it is important to recognize the importance of personality in the dental hygiene education curriculum and to provide opportunities to develop personality through systematic programs.

• Journal of IKEEE
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• v.18 no.3
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• pp.362-367
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• 2014

Music score recognition applications running on a smartphone, which is one of the necessities of modern people, have already been released on the market. These applications have the several limitations, especially the recognition rate of printed music scores is low so that many errors occur when the score is played. The major factor to decrease the recognition rate comes from poor tilt-correction of the captured staff-line. In this paper, we propose a efficient method that can automatically shoot the printed music score through preview analysis, which increases the recognition rate via tilt-correction.

• Korean Journal of Adult Nursing
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• v.20 no.5
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• pp.731-742
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• 2008

Purpose: The purpose of this study was to analyze how a nursing student recognizes PBL with simulation education and its relationship to academic achievement. Methods: The study objects were the students in C college who learn through PBL using simulator for 15 weeks(September 2007 to December 2007). Learning element recognition was developed by Cho(2002) and three key evaluations(performance, self-evaluation, and colleague evaluation) were designed by professors. Results: Learning element recognition ranged from 2.37 to 4.83 with the average at 3.94. For Learning element recognition, students who preferred discussion score 4.15. This was statistically more significant than those who do not. Students who preferred presentations show significantly higher score in colleague evaluation. For Learning element recognition and academic achievement, self-evaluation and colleague evaluation showed relationship to PBL learning element. Conclusion: There was definitely a relationship with PBL learning element and academic achievement after learning the PBL with simulation education.

• ETRI Journal
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• v.46 no.1
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• pp.48-58
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• 2024

This paper presents the development of language tutoring systems for nonnative speakers by leveraging advanced end-to-end automatic speech recognition (ASR) and proficiency evaluation. Given the frequent errors in non-native speech, high-performance spontaneous speech recognition must be applied. Our systems accurately evaluate pronunciation and speaking fluency and provide feedback on errors by relying on precise transcriptions. End-to-end ASR is implemented and enhanced by using diverse non-native speaker speech data for model training. For performance enhancement, we combine semisupervised and transfer learning techniques using labeled and unlabeled speech data. Automatic proficiency evaluation is performed by a model trained to maximize the statistical correlation between the fluency score manually determined by a human expert and a calculated fluency score. We developed an English tutoring system for Korean elementary students called EBS AI Peng-Talk and a Korean tutoring system for foreigners called KSI Korean AI Tutor. Both systems were deployed by South Korean government agencies.

• Journal of Korea Multimedia Society
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• v.19 no.5
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• pp.826-836
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• 2016

Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

• Journal of the Korea Convergence Society
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• v.13 no.2
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• pp.13-20
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• 2022

This study is to develop a named entity recognition model specialized in criminal investigation domains using deep learning techniques. Through this study, we propose a system that can contribute to analysis of crime for prevention and investigation using data analysis techniques in the future by automatically extracting and categorizing crime-related information from text-based data such as criminal judgments and investigation documents. For this study, the criminal investigation domain text was collected and the required entity name was newly defined from the perspective of criminal analysis. In addition, the proposed model applying KoELECTRA, a pre-trained language model that has recently shown high performance in natural language processing, shows performance of micro average(referred to as micro avg) F1-score 98% and macro average(referred to as macro avg) F1-score 95% in 9 main categories of crime domain NER experiment data, and micro avg F1-score 98% and macro avg F1-score 62% in 56 sub categories. The proposed model is analyzed from the perspective of future improvement and utilization.

• Journal of Oriental Neuropsychiatry
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• v.14 no.2
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• pp.107-115
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• 2003

This study was conducted to investigate the subjective degree of fatigue, the degree of fatigue depending on analysis of MMPI and SDNN in middle-aged women. Data were collected from 51 patients, registered at Oriental Medicine Hospital in J-city and K-city respectively. The instrument used in this study were the Multidimensional Assessment of Fatigue developed by Belza(1995) and revised by Jung & Kim(1999) and the Minnesota Multiphasic Personality Inventory(MMPI) and Standard Deviation of Normal to Normal(SDNN). The collected data were analyzed by SPSS/WIN 9.0 program using frequencies, percentage, mean, standard deviation, t-test. The degree of fatigue in middle-aged women: the average score 30.61 out of the total score 40. Subdivision of fatigue scores: common fatigue degree 7.71, distress due to fatigue 7.67, degree of daily activity fatigue 7.43, and fatigue frequency in the previous week 7.84. The degree of fatigue according to subjective recognition was shown significant difference(t=6.707, p=.000).: group of recognition (33.58), group of ignorance (23.47). The degree of fatigue according to MMPI was shown significant difference. : In the group of recognition, scales of Hs, D, Hy, Pt were higher. The degree of fatigue according to SDNN was shown significant difference (T=-4.062, P=.000). : group of recognition (33.47ms), group of ignorance (45.70ms). The total fatigue score and scales of Hs, D, Hy in MMPI was correlated positively (r=.576; r=.466; r=.518), and total fatigue score and SDNN was correlated negatively (r=-.576). Conclusively fatigue is one of difficult problems in middle-aged women. Therefore it is necessary to develope some nursing intervention for reducing fatigue in its early stages.

• Korean Journal of Community Nutrition
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• v.4 no.1
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• pp.95-102
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• 1999

This study used questionnaires to investigate the safety awareness for imported foods by 365 male and female adults in Taejon. The results of the study were as follow : By factor analysis, the subjects' behaviors and awareness of the imported food was grouped into 3 factors such as 'health and quality factor', 'purchasing factor' and 'contamination factor'. 'Health and quality factor' and 'purchasing factor' were not recognized negatively by the subjects, moreover' contamination factor' was recognized very highly. The subjects' concern and worry about the imported food was also very high. The marital status, education level, nutriton knowledge adn recognition level of contamination by pesticides and heavy metals of foods partially affected the recognitio level of imported foods. The major selection criteria of imported food were distribution period(36.3%), price(28.8%) and purchasing experience(17.3%). The imported food mean discrimination score was 8.4±3.1 out of 13. The worst discriminatio score was red pepper. The subjects' experiences with imported foods selection affected the most instead of education level or nutrition knowledge. The higher discrimination score group more negatively recognized imported food and contamination recognition level was higher whereas the lowerdiscrimination score group more positively recognized the purchasing frequency and with to buy more easily. But both groups desired to reinforce contamination control. The better discrimination score of imported food pooring recognized sanitation concerns(p<0.05), quality(p<0.05), cooking convenience(p<0.01), desire for more variety(p<0.05), and the higher contamination recognition level(p<0.05) and desire to reinforce contamination control(p<0.01).

• Journal of agricultural medicine and community health
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• v.30 no.2
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• pp.205-211
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• 2005

Objectives: In Ulleung island, many people was suffered from dermatomycosis. But many patients was not recognized to dermatomycosis due to little symptom. So, public health education was needed. We will plan education direction based on evidence. So, in one way, the recognition level was needed to determine education direction. Methods: From June to July in 2005, 45 patients was made a question. The questionnaire was composed of chief complaint, site, duration, similar disease in family, 5 questiones and so on. If patients was recognized to 1 question, 1 score was added. Remain 4 question was done in same manner. Results: The low score group were that total socre was beyond 2. And The high score group were that total score was above 3. The low score group was 24 persons, average age was 59. The high score group was 21 persons and average age was 42. Male and female ratio was 7 : 17 in low score group and 10 : 11 in high score group. Coinfection was 17 patients in low score group and 2 patients in high score group. There was only 17 patients that wete recognized that dermatomycosis and "Moozom" were same disease. And, many patients was not recognized to possibility of reinfection after treatment of dermatomycosis. Conclusions: In Ulleung island, coinfection rate was higher than other area bacause of low recognition level. And infection rate in family was higher too. So, there was essential to educate of dermatomycosis prevention. Dermatomycosis patient became older and was more female than other area, so there was need to centralize people to be needed of public health education. Finally, many statistical study for dermatomycosis should be needed for many patients and general populations in Ulleung island.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.14 no.3
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• pp.208-214
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• 2021

Recently, much of the intelligent security scenario and criminal investigation demands for matching photo and non-photo. Existing face recognition system can not sufficiently guarantee these needs. In this paper, we propose an algorithm to improve the performance of heterogeneous face recognition systems by reducing the different modality between sketches and photos of the same person. The proposed algorithm extracts each image's texture features through texture descriptors (gray level co-occurrence matrix, multiscale local binary pattern), and based on this, generates a transformation matrix through eigenfeature regularization and extraction techniques. The score value calculated between the vectors generated in this way finally recognizes the identity of the sketch image through the score normalization methods.