• The Korean Journal of Pain
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• v.34 no.3
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• pp.250-261
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• 2021

Background: Complex regional pain syndrome type I (CRPS-I) consists of disorders caused by spontaneous pain or induced by some stimulus. The objective was to verify the effects of photobiomodulation (PBM) using 830 nm wavelength light at the affected paw and involved spinal cord segments during the warm or acute phase. Methods: Fifty-six mice were randomized into seven groups. Group (G) 1 was the placebo group; G2 and G3 were treated with PBM on the paw in the warm and acute phase, respectively; G4 and G5 treated with PBM on involved spinal cord segments in the warm and acute phase, respectively; G6 and G7 treated with PBM on paw and involved spinal cord segments in the warm and acute phase, respectively. Edema degree, thermal and mechanical hyperalgesia, skin temperature, and functional quality of gait (Sciatic Static Index [SSI] and Sciatic Functional Index [SFI]) were evaluated. Results: Edema was lower in G3 and G7, and these were the only groups to return to baseline values at the end of treatment. For thermal hyperalgesia only G3 and G5 returned to baseline values. Regarding mechanical hyperalgesia, the groups did not show significant differences. Thermography showed increased temperature in all groups on the seventh day. In SSI and SFI assessment, G3 and G7 showed lower values when compared to G1, respectively. Conclusions: PBM irradiation in the acute phase and in the affected paw showed better results in reducing edema, thermal and mechanical hyperalgesia, and in improving gait quality, demonstrating efficacy in treatment of CRPS-I symptoms.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.38 no.6
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• pp.573-581
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• 2020

Using CCTV images and weather parameters, a method for estimating PM (Particulate Matter) index was proposed, and an experiment was conducted. For CCTV images, we proposed a method of estimating the PM index by applying a deep learning technique based on a CNN (Convolutional Neural Network) with ROI(Region Of Interest) image including a specific spot and an full area image. In addition, after combining the predicted result values by deep learning with the two weather parameters of humidity and wind speed, a post-processing experiment was also conducted to calculate the modified PM index using the learned regression model. As a result of the experiment, the estimated value of the PM index from the CCTV image was R2(R-Squared) 0.58~0.89, and the result of learning the ROI image and the full area image with the measuring device was the best. The result of post-processing using weather parameters did not always show improvement in accuracy in all cases in the experimental area.

• Knowledge Management Research
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• v.21 no.4
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• pp.227-241
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• 2020

In the acceptance of new technology products, not only the characteristics of the product itself, but also the consumer's psychological perception of the product has a great influence. This study analyzed the effects of psychological variables such as perceived risk, technology trust, and optimistic bias on consumers' intention to accept new technology products. This study selected nanotechnology, and we found consumers with high perceived risk showed relatively low intent to accept nanotechnology products compared to consumers with high perceived risk. However, in case of high level of technology trust, consumers with high perceived risk did not show any significant difference in the intention to accept nanotechnology products. We also found that such moderating effect of technology trust is mediated by optimistic bias. We hope that the findings of this study can give meaningful implications to nanotechnology developers, marketers, and policy makers in nanotechnology industry.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.217-225
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• 2021

This study analyzed the perception formed by artificial intelligence users by converging technology readiness index and technology acceptance models and expanding them to models considering artificial intelligence ethics in order to find out the impact of technology acceptance and ethics. Independent variables include optimism, transparency, ethical awareness, user-centeredness, perceived usefulness and perceived ease of use as potential variables affected by independent variables, and defined the intention of use as potential variables as dependent variables. The survey results from an online and offline of men and women aged over 17 years old across the country (N=260) from September 5 to October 12, 2020 were used in the analysis. The findings, first, showed that optimism had a significant static effect on perceived usefulness and ease of use. Second, ethical awareness (transparency, ethical awareness, user-centeredness) did not have a significant impact on perceived usefulness and ease of use. Third, perceived usefulness and ease of use are finally found to have a significant static effect on the intention of use. Fourth, perceived usefulness has a relatively high influence over ease of use.

• Journal of Korean Medicine Rehabilitation
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• v.31 no.1
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• pp.17-32
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• 2021

Objectives The present study was designed to find out the therapeutic effects and possible underlying mechanism of Buja-tang, a herbal complex formula on experimental monosodium iodoacetate (MIA)-induced osteoarthritis. Methods Osteoarthritis models were created via intra-joint injection of MIA (50 μL with 80 mg/mL) in rats. Rats were divided into five groups and each group consisted of seven. Normal group was not injected MIA and did a normal diet. Control group injected MIA and received distilled water. Indo injected MIA and oral administration of 5 mg/kg of indomethacin. BJTL injected MIA and oral administration of 100 mg/kg of Buja-tang. BJTH injected MIA and oral administration of 200 mg/kg of Buja-tang. We analyzed weight-bearing ability of hind paws, oxidative stress related factor, antioxidant protein, inflammatory protein, inflammatory messenger and cytokine in joint tissue. Pathological observation of knee cartilage tissue structures was also performed with hematoxylin & eosin and safranin-O chromosomes. Results Weight-bearing ability of hind paws showed a tendency to reduce pain. The incidence of nicotinamide adenine dinucleotide phosphate oxidase and p22phox in articular tissue was significantly reduced, and the incidence of nuclear factor-erythroid 2-related factor 2 and heme oxygenase-1 and superoxide dismutases was significantly increased. The incidence of phosphorylated inhibitor of κBα, nuclear factor-kappa B p65, inducible nitric oxide synthase, cyclooxygenase-2, tumor necrosis factor alpha, interleukin (IL)-6, and IL-1β decreased significantly. In pathological observation, cartilage tissue damaged by MIAs in biopsy has significantly recovered from Buja-tang administration. Conclusions Buja-tang has anti-inflammation, antioxidation and pain relief effects. So this is thought to inhibit the progress of osteoarthritis in rat caused by the MIA.

• Journal of the Korean Applied Science and Technology
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• v.38 no.1
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• pp.196-207
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• 2021

The purpose of this study is to investigate the relationship between trust, satisfaction and cognitive performance of golf participants in golf device, focusing on the swing analyzer. A total of 328 questionnaires were collected. Collected data were analyzed by SPSSWIN and AMOS program and frequency analysis, confirmatory factor analysis, validity test, correlation analysis and structural equation model analysis were performed. The result of the study were as follows. First, the trust of golf participants in golf device data has a positive effect on satisfaction. Second, the trust of golf participants in golf device data does not affect Perceived performance. Third, the satisfaction of golf participants in golf device data does not affect Perceived performance. In conclusion, golf participants' trust and satisfaction of the golf swing analyzer are irrelevant to the perceived performance. In conclusion, it was found that golf participants trusted the data presented through the golf device and obtained satisfactory results. However, in that it did not affect the perceived performance, golf participants can think that golf devices should be used to play golf rather than thinking that golf devices enhance their performance.

• The Journal of the Convergence on Culture Technology
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• v.8 no.1
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• pp.385-393
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• 2022

This study conducted a survey of social welfare facility workers in Mokpo, Jeollanam-do from May 21 to May 24, 2019 to empirically analyze the effect of job rotation on work efficiency and job satisfaction. Individual development of job rotaion (independent variable), job satisfaction (dependent variable), work efficiency (mediating variable), and work overload (moderating variable) were set as variables of the research model. For the questions of all variables, the Likert 5-point scale was used, the SPSS version 24.0 was used as an empirical analysis tool to verify the hypothesis, descriptive statistics and reliability analysis were performed, and the mediating effect and moderating effect were analyzed using SPSS PROCESS macro 4.0. The results of this study are as follows. First, it was analyzed that the individual development of job rotation did not significantly affect job satisfaction. Second, it was found that work efficiency fully mediated the relationship between individual development of job rotation and job satisfaction. Finally, it was found that the interaction term between work efficiency and job overload had a negative effect on job satisfaction and had a moderated mediating effect.

• KIPS Transactions on Software and Data Engineering
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• v.11 no.3
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• pp.133-140
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• 2022

We investigate the performance of deep learning-based Korean language models on a task of predicting the score range of Korean essays written by foreign students. We construct a data set containing a total of 304 essays, which include essays discussing the criteria for choosing a job ('job'), conditions of a happy life ('happ'), relationship between money and happiness ('econ'), and definition of success ('succ'). These essays were labeled according to four letter grades (A, B, C, and D), and a total of eleven essay score range prediction experiments were conducted (i.e., five for predicting the score range of 'job' essays, five for predicting the score range of 'happiness' essays, and one for predicting the score range of mixed topic essays). Three deep learning-based Korean language models, KoBERT, KcBERT, and KR-BERT, were fine-tuned using various training data. Moreover, two traditional probabilistic machine learning classifiers, naive Bayes and logistic regression, were also evaluated. Experiment results show that deep learning-based Korean language models performed better than the two traditional classifiers, with KR-BERT performing the best with 55.83% overall average prediction accuracy. A close second was KcBERT (55.77%) followed by KoBERT (54.91%). The performances of naive Bayes and logistic regression classifiers were 52.52% and 50.28% respectively. Due to the scarcity of training data and the imbalance in class distribution, the overall prediction performance was not high for all classifiers. Moreover, the classifiers' vocabulary did not explicitly capture the error features that were helpful in correctly grading the Korean essay. By overcoming these two limitations, we expect the score range prediction performance to improve.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.20 no.6
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• pp.55-65
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• 2021

In January 2020, the first COVID-19 confirmed patient occurred in Korea, and the pandemic continues to this day. In unprecedented situations, COVID-19 also affected the transportation sector, and there were no appropriate measures against changes in traffic volume and use of public transportation due to changes in citizens' lifestyles. Currently, each local government has not established separate measures for pandemic disease measures. In order to establish future disease countermeasures in the transportation sector, a predictive model was developed by analyzing the traffic volume and the number of public transportation uses, and conducting correlation analysis with the current status of COVID-19. As a result of the analysis, the traffic volume decreased, but the traffic volume decreased due to the increase in personal transportation, but it did not reach the number of public transportation uses. In addition, it was analyzed that the use of public transportation was initially affected by the number of confirmed cases, but over time, it was more sensitive to death and mortality than to the number of confirmed cases.

• Journal of Creative Information Culture
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• v.7 no.4
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• pp.187-196
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• 2021

This study was conducted as a study on the SW career education of students from underprivileged areas, which is a necessary condition for SW education to become a universal education or where research has not been conducted. Therefore, this study conducted a SW career selection model using structural equations for 2,231 students in grades 3 to 6 in 6 schools located in the marginalized areas of eup/myeon. As a result of the study, it was analyzed that the intrinsic SW learning motive of students from underprivileged areas did not affect their SW career choice, whereas the external SW learning motive was analyzed to affect their SW career choice. This is inferred that the intrinsic SW learning motive does not affect the SW career choice due to the lack of SW experience of students in underprivileged areas. The correlation between internal and external SW learning motivation was analyzed to be significant. In the future, as students from the underprivileged class have more SW education experiences, research should be conducted on how internal SW learning motives affect SW career choice and how external SW learning motives support internal SW learning motives.