• The Journal of Pediatrics of Korean Medicine
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• v.24 no.2
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• pp.1-12
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• 2010

Objectives Taking detailed patient history helps earlier diagnosis and treatment of developmental disability. In this study we analyzed the clinical questionnaire to find out the clinical characteristics of those with five-retardation, five-limpness, or five-stiffness. Methods The data was collected from 484 children under the age of six who have visited H oriental medicine clinic for developmental delay. The clinical questionnaire was filled out by their parents and the data was analyzed statistically. Results 436 children showed symptoms of five-retardation, 90 children suffered from five-stiffness, 54 children showed five-limpness and 7 children suffered from five-stiffness and five-limpness complex. Generally, boys had higher chance to show disease symptoms than the girls (2.32:1) and 40 children (8.26%) reported family history of developmental disability. Cerebral palsy ranks the most common familial disease, followed by developmental delay, mental retardation, autistic disorder and language disorder. Among the children we have studied, 285 children (63.19%) showed delayed unassisted walk while 192 children (42.57%) had language disorder. Also, 138 children (28.51%) had both walk and language disorders. The children in this study also showed delayed toilet training and half of them had little stranger anxiety when they were infants. It was also found that 120 children (24.79%) experienced epilepsy. This study reaffirmed that low birth weight, premature birth, and suffocation are major risks causing neurological damage. Conclusions They had history which including family history, problems at birth, epilepsy, face recognition, muscle tone disorder, delayed walking without assistance, language ability, and toilet training.

• Journal of Naturopathy
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• v.13 no.1
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• pp.1-13
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• 2024

Background: There is a need for the development of non-verbal music therapy programs to enhance the social skills of children with intellectual disabilities who face challenges in verbal communication. Objective: The purpose of this study is to propose a music therapy program aimed at improving the social skills of children with intellectual disabilities and to evaluate its clinical effectiveness. Method: This study designed a Social Skills Training based Musical Instrument performance (SST-MIP) intervention program that integrates existing musical instrument performance and social skills in music therapy and targeted children with intellectual disabilities. Clinical effectiveness was evaluated. A total of 51 participants were randomly assigned to either the experimental group (29 participants) or the control group (22 participants). The experimental group participated in the SST-MIP intervention program once a week for 50 minutes over 32 weeks. The level of social skills of the participants was measured using the Social Skills Rating System (SSRS - teacher form, elementary level). Results: The average SSRS score of the experimental group increased by 109.2% from 10.7 to 22.4 (p <.001), while the control group showed a relatively modest increase of 30.7% from 11.3 to 14.7 (p <.05). After the SST-MIP intervention, the SSRS score of the experimental group was 57.2% higher than that of the control group, with significant improvements in specific areas of social skills: self-control (79.6%), assertion (56.8%), and cooperation (43.2%). Conclusion: The SST-MIP has been found to significantly enhance the social skills of children with intellectual disabilities. The proposed SST-MIP intervention is expected to be a useful tool for training social skills in children with intellectual disabilities who struggle with verbal communication.

• Smart Media Journal
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• v.12 no.7
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• pp.59-67
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• 2023

Recently, research on behavior analysis tracking human posture and movement has been actively conducted. In particular, OpenPose, an open-source software developed by CMU in 2017, is a representative method for estimating human appearance and behavior. OpenPose can detect and estimate various body parts of a person, such as height, face, and hands in real-time, making it applicable to various fields such as smart healthcare, exercise training, security systems, and medical fields. In this paper, we propose a method for classifying four exercise movements - Squat, Walk, Wave, and Fall-down - which are most commonly performed by users in the gym, using OpenPose-based deep learning models, DNN and CNN. The training data is collected by capturing the user's movements through recorded videos and real-time camera captures. The collected dataset undergoes preprocessing using OpenPose. The preprocessed dataset is then used to train the proposed DNN and CNN models for exercise movement classification. The performance errors of the proposed models are evaluated using MSE, RMSE, and MAE. The performance evaluation results showed that the proposed DNN model outperformed the proposed CNN model.

• Journal of the Korea Society of Computer and Information
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• v.14 no.11
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• pp.73-79
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• 2009

In this paper, a method is proposed that enhances the performance of the facial expression recognition using template matching of Local Binary Pattern(LBP) histogram. In this method, the face image is segmented into blocks, and the LBP histogram is constructed to be used as the feature of the block. Block dissimilarity is calculated between a block of input image and the corresponding block of the model image. Image dissimilarity is defined as the weighted sum of the block dissimilarities. In conventional methods, the block weights are assigned by intuition. In this paper a new method is proposed that optimizes the weights from training samples. An experiment shows the recognition rate is enhanced by the proposed method.

• Journal of the Korea Society for Simulation
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• v.32 no.4
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• pp.27-39
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• 2023

This study aimed to develop SSTPBL (Student-led Simulation with Team and Problem-Based Learning), whichcombines TBL and PBL with a student-led method to strengthen knowledge application, nursing diagnosis ability, and collaboration ability among the core competencies of nurses. Then, SSTPBL was applied to nursing students, and the results were assessed. The data was collected from September 15, 2022, to December 21, 2022, with structured questionnaires and focus group interviews with 51 fourth-year nursing students at a university in A City. The collected data were analyzed using SPSS version 25.0 and topic analysis. As a results, it was effective in simulation experience satisfaction(t = 3.51, p < .01), vSim experience satisfaction(t = 3.50, p < .01), preparation as a prospective nurse(t = 3.73, p < .01), learning self-efficacy(t = 3.87, p < .01), collaborative self-efficacy (t = 4.30, p < .01), problem-solving ability(t = 5.26, p < .01), educational satisfaction(t = 3.54, p < .01), digital health equity(t = 2.18, p < .05). Through the qualitative data's topic analysis, six main topics were derived. The main topics were 'similar to clinical practice', 'difficulty in immersion', 'learning through others', 'learning through self-reflection', 'improving confidence through new experiences' and 'new teaching methods'. Based on the results of this study, it is expected that SSTPBL can be used in various ways as a new training method for prospective nurses in the face of growing clinical practice restrictions after the pandemic.

• The Journal of KAIRB
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• v.3 no.1
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• pp.11-18
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• 2021

Purpose: The purpose of this study is to investigate a satisfaction survey of untact education and platforms that can be used for untact education to provide recommendations on future development of Education of Persons Conducting Clinical Trials. Methods: Online survey was distributed among students who have taken Untact Education of Persons Conducting Clinical Trials. The result was separated according to topic and descriptive statistics was used for analysis. The satisfaction survey used 10-point scale. Results: Of the 1,720 students who received the survey, 1,347 (78.3%) responded to the lecture satisfaction survey. The satisfaction level for broadcasting program (Kakao TV), an untact educational platform for the education of clinical trial workers at Kyung Hee University Medical Center, was relatively high with 8.09±1.99 points. Average score respondents recommending Kyung Hee University Untact Education of Persons Conducting Clinical Trials was 8.03±1.83 and customer recommendation score (Net Promotor Score) was 27.1%. Satisfaction level of the preferred training time was divided into weekday-morning (8-11 AM) (8.16±1.75), weekday-afternoon (12-4 PM) (7.73±2.07), weekday-evening (5-9 PM) (7.78±2.22), and weekend-morning (9-11 AM) real-time untact education (8.48±1.76) and analyzed. There was a noticeable difference between weekend-morning and weekday-afternoon (p<0.0001) and weekend-morning and weekday-evening (p=0.0001) real-time untact education. When asked about conducting education after COVID-19 pandemic ends, 79.2% (1,012 of 1,279) of the respondents answered that they prefer real-time untact education while 20.8 % (266 of 1,279) preferred face-to-face education. Conclusion: Online education, without time and space constraint, is expected to be the mainstream market in Korea for Education of Persons Conducting Clinical. Kyung Hee University Untact Education of Persons Conducting Clinical has achieved above average satisfaction using Kakao TV. Kyung Hee University Real-time Untact Education of Persons Conducting Clinical Net Promotor Score is 27.1%, which is above industry average, communication with trainees should be considered to improve Net Promotor Score.

• Knowledge Management Research
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• v.23 no.2
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• pp.123-142
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• 2022

The non-face-to-face environment accelerated by COVID-19 has speeded up the dissemination of digital virtual ecosystems and metaverse. In order for the metaverse to be sustainable, digital twins that are compatible with the real world are key, and critical technology for that is AR (Augmented Reality). In this study, we examined research trends about AR, and will propose the directions for future AR research. We conducted LDA based topic modeling on 11,049 abstracts of published domestic and foreign AR related papers from 2009 to Mar 2022, and then looked into AR that was comprehensive research trends, comparison of domestic and foreign research trends, and research trends before and after the popularity of metaverse concepts. As a result, the topics of AR related research were deduced from 11 topics such as device, network communication, surgery, digital twin, education, serious game, camera/vision, color application, therapy, location accuracy, and interface design. After popularity of metaverse, 6 topics were deduced such as camera/vision, training, digital twin, surgical/surgical, interaction performance, and network communication. We will expect, through this study, to encourage active research on metaverse AR with convergent characteristics in multidisciplinary fields and contribute to giving useful implications to practitioners.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.189-196
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• 2024

Frequent false positives alarm from the Intelligent Selective Control System have raised significant concerns. These persistent issues have led to declines in operational efficiency and market credibility among agents. Developing a new model or replacing the existing one to mitigate false positives alarm entails substantial opportunity costs; hence, improving the quality of the training dataset is pragmatic. However, smaller organizations face challenges with inadequate capabilities in dataset collection and refinement. This paper proposes an automatic human pose data collection system centered around a human pose estimation model, utilizing camera-based sensor fusion techniques and edge devices. The system facilitates the direct collection and real-time processing of field data at the network periphery, distributing the computational load that typically centralizes. Additionally, by directly labeling field data, it aids in constructing new training datasets.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.3
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• pp.2119-2125
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• 2013

Background: The aim of the study was to determine risk factors for cervical cancer for women in Izmir. Methods: This cross-sectional, descriptive field covered a population of 4319 women of reproductive age (15-49) (household registration in the Mukhtar's office-2007). A total of 1,637 women were included in the sample given a four-part questionnaire through face-to-face interview by visiting the women in their homes in order to determine socio-demographic factors, obstetric history, genital hygiene and the use of family planning methods. In addition, during the data collection process, the women were given group training in order to raise awareness of cervical cancer. The number and percentage distributions of the data were calculated. Results: While the average age of the women was $31.9{\pm}9.77$ (Min: 15.00-Max: 49.00), education level of 43.4% of them was elementary school only. It was determined that 70.3% of the women experienced at least one pregnancy, 71.0% had vaginal delivery and 75.9% used a contraceptive method. In the study it was determined that among the cervical cancer related risks vaginal delivery, vaginal lavage and having three or more pregnancies had the highest rates, while having sexual intercourse before 16 years of age and having more than one sexual partner constituted lower rates. The rate of the women who stated not having a smear in the last three years was 82.4%. Conclusions: Considering the case in terms of having Pap smear test, women's awareness on the risk factors and early diagnosis of cervical cancer was found to be low. Due to this reason, awareness of women has to be raised through education.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.265-276
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• 2010

The purpose of this study was to investigate the Korean Local Government's recognition on the educational gap among regions in the filed of adult learning including vocational education and life long-learning. The study also tried to figure out the local government's recognition and infrastructure of e-Learning which is suggested as one of the solutions on the regional gap of educational opportunities and quality. This study took 12 HRD(Human Resources Development) centers funded and operated by the Korean Local Governments except Seoul and Kyong-Gi classified by the metropolitan areas in Korea. As a result, firstly it was found that the local governments had perception on the difference and gap of educational opportunities and quality among regions in the area of adult education. Especially, the perception was relatively more serious on quality than quantity. Secondly, the result showed the large gap among regions on the area of opening educational and training programs, the quality of teachers and tutors, the effectiveness and outcomes of educational programs. Thirdly, they perceived more serious educational gap on face-to-face classes rather than e-Learning in the context of educational methodology. It also revealed that the local governments had relatively better foundations on physical systems than other infrastructures and resources such as human-ware, culture-ware and soft-ware(contents, programs etc.). It was recommended to consider these findings in developing and implementing future educational policies to solve the problem of regional gap on education.