• Journal of the Korea Convergence Society
• /
• v.10 no.11
• /
• pp.429-435
• /
• 2019

The purpose of this study was to test the mediation effects of grit on the relationship between expectancy-value and achievement behavior in physical education class. Data for the study were collected from a survey of 353 middle school students. For data processing, this study confirmed the goodness of fit test of the whole model using SPSS 20.0 and AMOS 20.0, and then did hypothesis testing; the study results are as follows: First, students' expectation-value perception had a positive effect on grit, and only success expectation had a significant effect on achievement behavior. Second, students' grit had significant impacts on their achievement behavior. Third, grit had mediating effects on relations between expectancy-value and achievement behavior.

• Physical Therapy Korea
• /
• v.15 no.3
• /
• pp.53-61
• /
• 2008

The purpose of this study was to examine the path analysis of factors related to musculoskeletal diseases of shipbuilding workers by considering related factors synthetically. The survey was completed by 1,536 shipbuilding workers and except for poor responses, 1,532 were analyzed. The survey consisted of questions about lifestyle, duration of service, physical and mental stress, and musculoskeletal diseases. The collected data was analyzed with SPSS/PC+ (a descriptive statistics program) and with AMOS 4.0 (a statistical program for path modeling) to test whether the hypothesized path model fitted the collected data. The results of the correlation analysis showed that musculoskeletal disease was associated with duration of service (r=-.095), physical stress (r=.077), and mental stress (r=.602). The results of the hypothesized path model satisfied the criteria required in relation to fitting the collected data. Musculoskeletal disease was directly affected by mental stress but not by physical stress, duration of service and life style. Thus, it is suggested that reducing mental stress is a strategy for the prevention for musculoskeletal disease.

• Journal of Korean Society for Geospatial Information Science
• /
• v.11 no.4 s.27
• /
• pp.21-27
• /
• 2003

The rational polynomial coefficients(RPC) model is a generalized sensor model that is used as an alternative for the physical sensor model for IKONOS-2 and QuickBird. As the number of sensors increases along with greater complexity, and as the need for standard sensor model has become important, the applicability of the RPC model is also increasing. The RPC model can be substituted for all sensor models, such as the projective camera the linear pushbroom sensor and the SAR This paper is aimed at generating a RPC model from the physical sensor model of the KOMPSAT-1(Korean Multi-Purpose Satellite) and aerial photography. The KOMPSAT-1 collects $510{\sim}730nm$ panchromatic images with a ground sample distance (GSD) of 6.6m and a swath width of 17 km by pushbroom scanning. We generated the RPC from a physical sensor model of KOMPSAT-1 and aerial photography. The iterative least square solution based on Levenberg-Marquardt algorithm is used to estimate the RPC. In addition, data normalization and regularization are applied to improve the accuracy and minimize noise. And the accuracy of the test was evaluated based on the 2-D image coordinates. From this test, we were able to find that the RPC model is suitable for both KOMPSAT-1 and aerial photography.

• Journal of Korean Academy of Nursing
• /
• v.51 no.3
• /
• pp.294-304
• /
• 2021

Purpose: This study aimed to investigate objectively measured physical activity (PA) in institutionalized older adults with mild cognitive impairment (MCI) and to elucidate the influence of autonomic nervous function, salivary cortisol, and PA on cognitive functions based on neurovisceral integration model. Methods: Overall cognitive function was evaluated using the mini-mental state examination (MMSE) and executive function was evaluated using semantic verbal fluency test and clock drawing test. Actigraph for PA, HRV and sAA for autonomous function, and the geriatric depression scale for depression were used. Saliva specimens were collected in the morning for sAA and cortisol. Results: Ninety-eight older adults from four regional geriatric hospitals participated in the study. They took 4,499 steps per day on average. They spent 753.93 minutes and 23.12 minutes on average in sedentary and moderate-to-vigorous activity, respectively. In the multiple regression analysis, lower salivary cortisol level (β = - .33, p = .041) and greater step counts (β = .37, p = .029) significantly improved MMSE score. Greater step count (β = .27, p = .016) also exerted a significant influence on verbal fluency, and greater sAA (β= .35, p = .026) was significantly associated with a better clock drawing test result. Conclusion: Salivary cortisol, sAA and physical activity were significantly associated with cognitive functions. To prevent older adults from developing dementia, strategies are needed to increase their overall PA amount by decreasing sedentary time and to decrease salivary cortisol for cognitive function, and to maintain their sympathetic nervous activity for executive function.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.14 no.4
• /
• pp.1520-1542
• /
• 2020

Traditional software testing typically uses many physical resources to manually build various test environments, resulting in high resource costs and long test time due to limited resources, especially for small enterprises. Cloud computing can provide sufficient low-cost virtual resources to alleviate these problems through the virtualization of physical resources. However, the provision of various test environments and services for implementing software testing rapidly and conveniently based on cloud computing is challenging. This paper proposes a multilayer cloud testing model based on cloud computing and implements a hybrid cloud testing system based on virtual machines (VMs) and networks. This system realizes the automatic and rapid creation of test environments and the remote use of test tools and test services. We conduct experiments on this system and evaluate its applicability in terms of the VM provision time, VM performance and virtual network performance. The experimental results demonstrate that the performance of the VMs and virtual networks is satisfactory and that this system can improve the test efficiency and reduce test costs through rapid virtual resource provision and convenient test services.

• Journal of The Korean Association For Science Education
• /
• v.23 no.2
• /
• pp.155-164
• /
• 2003

The purpose of the current study was to investigate the effects of explanations about physical phenomena given in non-physics textbooks on the formation of student physical conceptions. Two classes, 39 students in each, were sampled from two middle schools in Pusan, Korea, and two kinds of test tools for investigating student conceptions were developed for the study. The first test tool(a) investigated student conceptions after reading explanations about physical phenomena in non-physics textbooks, while the second(b) investigated student conceptions after reading explanations revised by physics education experts about the same physical phenomena. The two test tools were applied to each class, and for a fair invetigation, test(a) followed by test(b) was applied to one class, while test(b) followed by test(a) was applied to the other class. The results were as follows: In both classes, the students' level of understanding from explanations revised by physics education experts was significantly (p < .01) higher than that from explanations in non-physics textbooks. As such, it is feasible that false or inappropriate explanations in non-physics textbooks can cause student misconceptions. Moreover, the improper expression of physical science concepts, improper choice of scientific terms, and incorrect grammatical structures, along with the use of unsuitable examples and improper model pictures can make it difficult for students to understand physics concepts. Furthermore, differences in the terms used in physics textbook and those used in other textbooks can also confuse students' learning.

• Journal of the Korea Society of Computer and Information
• /
• v.23 no.10
• /
• pp.181-188
• /
• 2018

In this paper, we tried to investigate whether the influence of 'I' in a heterogeneous network of physical network and virtual network can be quantitatively measurable. To do this, we used Networked Community(NC) methodology to devise a concrete model of influence assessment in heterogeneous network. In order to test the model, we conducted an experiment with Donald J. Trump and his surroundings to evaluate the effectiveness of this influence assessment model. Experimentation included the measurement of impacts on the physical and virtual networks, and the impact on the networked community. Using Trump's case, we found that analyzing only one of the two networks can not accurately analyze the impact on others.

• International Journal of Computer Science & Network Security
• /
• v.22 no.10
• /
• pp.246-256
• /
• 2022

Recently, parents and teachers consider physical education as a minor subject for students in elementary and secondary schools. Physical education performance has become increasingly significant as parents and schools pay more attention to physical schooling. The sports mining with distribution analysis model considers different factors, including the games, comments, conversations, and connection made on numerous sports interests. Using different machine learning/deep learning approach, children's athletic and academic interests can be tracked over the course of their academic lives. There have been a number of studies that have focused on predicting the success of students in higher education. Sports interest prediction research at the secondary level is uncommon, but the secondary level is often used as a benchmark to describe students' educational development at higher levels. An Automated Student Interest Prediction on Sports Mining using DL Based Bi-directional Long Short-Term Memory model (BiLSTM) is presented in this article. Pre-processing of data, interest classification, and parameter tweaking are all the essential operations of the proposed model. Initially, data augmentation is used to expand the dataset's size. Secondly, a BiLSTM model is used to predict and classify user interests. Adagrad optimizer is employed for hyperparameter optimization. In order to test the model's performance, a dataset is used and the results are analysed using precision, recall, accuracy and F-measure. The proposed model achieved 95% accuracy on 400^th instances, where the existing techniques achieved 93.20% accuracy for the same. The proposed model achieved 95% of accuracy and precision for 60%-40% data, where the existing models achieved 93% for accuracy and precision.

• Journal of the Geological Society of Korea
• /
• v.54 no.6
• /
• pp.605-614
• /
• 2018

For physical experiments like analogue modeling that designed for studying geological deformation, reproducibility of the deformation is important to guarantee the reliability of the experiment. In this study, the normal fault generated by extensional stress is benchmarked using a sand box model. The scaling factors for the modeling test are considered and the experiments are conducted by setting the appropriate material, extensional stress, and boundary condition in the same way as in a benchmark experiment. In addition, a large centrifuge facility is used to vary the centrifugal acceleration and extension rate in the same sized model to account for the scaling factors of the physical quantity during extensional behavior. At 1 g benchmark condition and a centrifugal field at 10 g, a constant rate of the extensional stress is implemented and the topographic evolution is reliably measured. In this study, the reliability and applicability of large centrifuge model tests are evaluated for formulating experiments designed to study geological deformation.

• Journal of Wetlands Research
• /
• v.10 no.3
• /
• pp.99-109
• /
• 2008

This research focused on analyzing and comparing between the results of hydraulic physical modeling and the results of numerical modeling of continuous block system in river bank protection which is newly developed in-situ block system. To verify the hydraulic physical modeling and review the effectiveness, the numerical modeling was needed against the model test results for vegetation application or not. HEC-RAS model was for 1 dimensional numerical analysis and SMS was for 2 dimensional numerical analysis. The results of the two dimensional numerical simulation, under the condition of roughness coefficient calibration, show similar and rational consequence against the physical modeling. These satisfactory results show that the accomplished results of hydraulic modeling and the predicted results of numerical modeling corresponded reasonably each others.