• Journal of the Korean Academy of Clinical Electrophysiology
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• v.5 no.2
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• pp.35-45
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• 2007

The purpose of this study was to examine spiral way movement of a trunk exerts on the movement ability. The details established to achieve for this article. This examination confirmed the weight, weight/height2 index, ratio of lumbar to pelvic, musculoskeletal quantity, push up for 2 minute, pitch a ball and voluntary isometric contraction with flexion and extension of knee joint of the subjects with spiral direct movement. Healthy eighteen subjects who understand fully the significance of procedure, consented to a plan, without neuromuscular disease were participated in two groups of experiment. The group were a spiral movement(9), rectilinear movement(9). Trunk movement tested 2 sessions of a spiral movement and rectilinear movement with a push up for 2 minute, 5days per a week, for the 4 weeks. This experiment tested 3 times with a sufficient rest for fatigue limitation. An analysis of the results used a paired samples t-test for difference from before and after experiment. The following results were obtained; At an internal change of the body, the musculoskeletal quantity was increased significantly to spiral movement group, but the weight was increased significantly, the musculoskeletal quantity was not significant to rectilinear movement. The movement ability evaluation for a external change was increased significantly in a push up for 2 minute, pitch a ball, isometric contraction with extension of knee joint of a spiral movement group, but a push up for 2 minute was increased significantly in a push up for 2 minute on the abdominal muscle training of a rectilinear movement group. As compared with a rectilinear movement, a spiral movement was more effect by cooperation with nerve and musculoskeletal system and an increase in movement ability was caused by learning acknowledgment, muscular reeducation. These results lead us to the conclusion that a spiral movement of trunk was more effect than a rectilinear movement, the coordination of nerve and musculoskeletal system was of importance of Multi-direction movement. Therefore, A further studies concerning the therapeutic exercise intervention and active-dynamic analysis could enhance the development of the most effect on the trunk.

• Journal of Intelligence and Information Systems
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• v.5 no.1
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• pp.103-123
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• 1999

Input filtering as a preprocessing method is so much crucial to get good performance in time series forecasting. There are a few preprocessing methods (i.e. ARMA outputs as time domain filters, and Fourier transform or wavelet transform as time-frequency domain filters) for handling time series. Specially, the time-frequency domain filters describe the fractal structure of financial markets better than the time domain filters due to theoretically additional frequency information. Therefore, we, first of all, try to describe and analyze specially some issues on the effectiveness of different filtering methods from viewpoint of the performance of a neural network based forecasting. And then we discuss about neural network model architecture issues, for example, what type of neural network learning architecture is selected for our time series forecasting, and what input size should be applied to a model. In this study an input selection problem is limited to a size selection of the lagged input variables. To solve this problem, we simulate on analyzing and comparing a few neural networks having different model architecture and also use an embedding dimension measure as chaotic time series analysis or nonlinear dynamic analysis to reduce the dimensionality (i.e. the size of time delayed input variables) of the models. Throughout our study, experiments for integration methods of joint time-frequency analysis and neural network techniques are applied to a case study of daily Korean won / U. S dollar exchange returns and finally we suggest an integration framework for future research from our experimental results.

• Journal of the Korean association of regional geographers
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• v.11 no.6
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• pp.517-529
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• 2005

Mt. Apsan is well known to be one of the most popular tourist sites around Daegu. Annually, more than 16 million persons visit Mt. Apsan. Although, in the mountain there are varieties of geomorphic and geological resources, there has been less concern to utilize the resources for geo-tourism. For example, there are about 10 valleys within Mt. Apsan and various landforms are scattered around the valleys. In this context, this study, based on field surveys centering around Gosangol valley, Anjiranggol valley and Dalbigol valley, focuses on exploring ways towards developing Mt. Apsan as an example geo-tourist site. The main findings are as follows: 1) The main landforms of Mt. Apsan include river cliff, cavern, free face, mud crack, ripple mark, fold, sheeting joint, talus, alluvial fan, pot hole, fault line, gnamma, columnar joint and metamorphic rock. 2) The guide notes on the landforms are developed. 3) In order to raise a learning effect of visitors on geomorphic resources, 9 nature trails are designed according to valleys and the length of visitor's stay.

• Journal of the Institute of Electronics and Information Engineers
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• v.52 no.6
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• pp.117-125
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• 2015

In the modern age, it is important for people to maintain a good sitting posture because they spend long hours sitting. Posture correction treatment requires a great deal of time and expenses with continuous observation by a specialist. Therefore, there is a need for a system with which users can judge and correct their postures on their own. In this study, we collected users' postures and judged whether they are normal or abnormal. To obtain a user's posture, we propose a four-joint motion capture system that uses inertial sensors. The system collects the subject's postures, and features are extracted from the collected data to build a database. The data in the DB are classified into normal and abnormal postures after posture learning using the K-means clustering algorithm. An experiment was performed to classify the posture from the joints' rotation angles and positions; the normal posture judgment reached a success rate of 99.79%. This result suggests that the features of the four joints can be used to judge and help correct a user's posture through application to a spinal disease prevention system in the future.

• Journal of muscle and joint health
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• v.28 no.1
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• pp.30-40
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• 2021

Purpose: This study aims to present nurses' legal conflicts and legal basis through the precedent analysis of a crime of professional negligence resulting in death and injury for the past 20 years and provide vital references to cultivate the correct and high-level legal consciousness of nurses. Methods: This study was conducted in five stages of the systematic content analysis method. It amalyses the precedents of a crime of nurses' professional negligence resulting in death and injury from 2000 to 2020. The application system for the provision of the written judgment was used to collect precedents. A total of 67 cases were analyzed in this study, and they were classified according to the type of nursing error, and the contents were systematically analyzed. Results: A total of 52 cases (77.5%) of nursing errors were caused by independent nursing practices. They were classified as 38 cases (A1) in the violation of patient supervision obligations, 12 cases in the violation of progress observation obligations (A2), one case in the violation of medical equipment inspection obligations (A3), and one case in the violation of explanation and verification obligations. Among the non-independent nursing practices (code B), B1 was 10 cases related to administrative acts, one blood transfusion accident (B2), and one anesthesia accident (B3). Conclusion: To prevent nurses from being involved in legal confits, the advocation of systematic training such as nurses' legal obligations and judgment grounds through case-based learning from the recent precedent analysis and promote nurses' legal perspective, and preventive activities are essential.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1574-1580
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• 2020

Traditional pose estimation methods include using special devices or images through image processing. The disadvantage of using a device is that the environment in which the device can be used is limited and costly. The use of cameras and image processing has the advantage of reducing environmental constraints and costs, but the performance is lower. CNN(Convolutional Neural Networks) were studied for pose estimation just using only camera without these disadvantage. Various techniques were proposed to increase cognitive performance. In this paper, the effect of the skip connection on the network was experimented by using various skip connections on the joint recognition of the hand. Experiments have confirmed that the presence of additional skip connections other than the basic skip connections has a better effect on performance, but the network with downward skip connections is the best performance.

• Journal of Engineering Education Research
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• v.27 no.1
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• pp.3-12
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• 2024

The degree-linked programs for employees, operated by joint training centers in specialized universities that have implemented work-study integrated programs, are educational programs that require an annual government budget of around 80 billion KRW. However, the 70+ universities running these programs face issues such as a decline in academic achievement and an increase in dropout rates among students. In this paper, I conducted multiple regression analysis based on observed and measured information to examine whether the participating students in these programs are achieving an appropriate level of academic performance and to identify the factors that universities need to invest in to achieve that level. To do this, I hypothesized a causal relationship between the university's input factors and students' academic achievement, and used the SPSS program to analyze the statistical data, confirming the validity of the hypothesis. The collected data for the study were obtained through a survey developed using a Likert 4-point scale, which quantified the distribution of grades among students enrolled in IT-related departments offering the degree-linked programs for employees and the emotional contact efforts made by the universities to motivate them for academic success. Particularly, through the results of multiple regression analysis, it was confirmed that these input factors, unlike those for students in general education programs, require more personalized and frequent interactions.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1061-1073
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• 2017

In this study, images were classified using convolutional neural network (CNN) - a deep learning technique - to investigate the feasibility of information production through a combination of artificial intelligence and spatial data. CNN determines kernel attributes based on a classification criterion and extracts information from feature maps to classify each pixel. In this study, a CNN network was constructed to classify materials with similar spectral characteristics and attribute information; this is difficult to achieve by conventional image processing techniques. A Compact Airborne Spectrographic Imager(CASI) and an Airborne Imaging Spectrometer for Application (AISA) were used on the following three study sites to test this method: Site 1, Site 2, and Site 3. Site 1 and Site 2 were agricultural lands covered in various crops,such as potato, onion, and rice. Site 3 included different buildings,such as single and joint residential facilities. Results indicated that the classification of crop species at Site 1 and Site 2 using this method yielded accuracies of 96% and 99%, respectively. At Site 3, the designation of buildings according to their purpose yielded an accuracy of 96%. Using a combination of existing land cover maps and spatial data, we propose a thematic environmental map that provides seasonal crop types and facilitates the creation of a land cover map.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.479-493
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• 2019

The purpose of this study was to present a method of literacy education that would generate interest and enhance the effectiveness of literacy education from elderly literacy learners. For that end, the researcher interviewed and did participation observation with a total of 11 middle and old aged literacy teachers, operators, lifelong education teachers, and literacy students in North Chungcheong Province. According to the research, elderly literacy learners have a tendency to forget easily what they have learned and to learn properly through dictation, and have high level of competitive spirit, to make studying the top priority in their daily lives. Many playful activities for knowing meaning of writing, learning connected to real life, and dictating are effective in improving their memory and cognition. In addition, using familiar materials in everyday life, conducting role plays with comedies and poems in textbooks, utilizing large-picture fairytales, team-based games and activities, learning songs and instruments to play easily, performances and presentations on the stage, and field experiences in educational and cultural facilities can increase their interest and effectiveness in literacy. Several programmes such as presentations and joint events for sharing results, materials and materials costs, education and sharing of literacy skills for teachers at the school, annual operation of literacy education need to be supported to succeed literacy education in elderly learners. In conclusion, the research shows the need to increase literacy teachers' education, to use assistant teachers, to activate accreditation of literacy curriculum.

• Quality Improvement in Health Care
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• v.23 no.1
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• pp.69-90
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• 2017

Purpose: The purpose of this study was to analyze the impact of healthcare accreditation and to provide empirical evidence to validate positive effectiveness. Methods:Six electronic databases (KERIS, KoreaMed, NDSL, Ovid-medline, Embase, Cochrane library) were accessed in May 2016. Keywords used were 'accreditation' and 'Joint Commission on Accreditation of Healthcare Organization (JCAHO)'. Of the initially identified 3,008 articles, 60 studies on healthcare accreditation were selected based on inclusion criteria that are hospital accreditation, accreditation by disease and clinical center accreditation. These were retrieved and analyzed. Result: The 60 study results were on the impact of healthcare accreditation. Results were classified into four perspectives of Balanced Score Card (Financial, Customer, Internal Process, Learning & Growth). In internal process perspective, results revealed that healthcare accreditation has made a positive impact on "care process and procedure". In learning & growth perspective, healthcare accreditation has made a positive influence on "leadership", "organizational cultures" and "change mechanisms". However, it revealed that healthcare accreditation does not directly affect financial performance. It is also difficult to reach a definitive conclusion that healthcare accreditation programs affect patient satisfaction of customer and clinical outcome of the internal process. Conclusion: Healthcare accreditation programs provide positive impact on change of care process and building communication-oriented hospital culture. However, more rigorous and diverse research is needed on financial effects and clinical outcomes of healthcare accreditation.