• Korean Journal of Applied Biomechanics
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• v.30 no.1
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• pp.121-129
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• 2020

Objective: This study was conducted with the aim of verifying the effectiveness of the duocock exercise, which is being utilized at the newly developed site to promote balance maintenance, basic physical strength and muscle strength among various age groups, in order to prevent fall and successfully age. Method: In this study, we conducted the duocock Exercise Program for 12 weeks (twice a week for an hour) for 10 senior citizens aged 65 or older (68.8±4.76 yrs, height: 15±6.00 cm) using Western-based health institutions in Daejeon, and compared the pre- and post- effects on basic physical strength and posture balance. All the data obtained from this study were used in statistical program SPSS 24 to perform paired t-test. The significance level for all statistical analyses was set at the level of p<0.05. Results: The 12 week duocock program showed statistically significant improvements in lower extremity muscle strength, equilibrium, agility, balance, and coordination in the basic fitness factors underlying successful aging (p<0.05). In addition, the trunk imbalance, which acts as a factor of falls and body balance, was statistically significant (p<0.05) and the posture balance of the sagittal plane also showed the effect of proper body adjustment. Conclusion: Based on the results of this study, duocock provides a new exercise program in the form of a sustainable sport as a two-handed exercise, and is very effective for the elderly to improve their basic physical strength as well as to control postural imbalances, strengthen and increase muscle strength.

• Journal of Korean Academy of Nursing
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• v.47 no.1
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• pp.14-24
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• 2017

Purpose: The purpose of this study was to construct and test a hypothetical model of self-management in patients with hemodialysis based on the Self-Regulation Model and resource-coping perspective. Methods: Data were collected from 215 adults receiving hemodialysis in 17 local clinics and one tertiary hospital in 2016. The Hemodialysis Self-management Instrument, the Revised Illness Perception Questionnaire, Herth Hope Index and Multidimensional Scale of Perceived Social Support were used. The exogenous variable was social context; the endogenous variables were cognitive illness representation, hope, self-management behavior, and illness outcome. For data analysis, descriptive statistics, Pearson correlation analysis, factor analysis, and structural equation modeling were performed. Results: The hypothetical model with six paths showed a good fitness to the empirical data: GFI=.96, AGFI=.90, CFI=.95, RMSEA=.08, SRMR=.04. The factors that had an influence on self-management behavior were social context (${\beta}=.84$), hope and cognitive illness representation (${\beta}=.37$ and ${\beta}=.27$) explaining 92.4% of the variance. Self-management behavior mediated the relationship between psychosocial coping resources and illness outcome. Conclusion: This research specifies a more complete spectrum of the self-management process. It is important to recognize the array of clinical resources available to support patients' self-management. Healthcare providers can facilitate self-management through collaborative care and understanding the ideas and emotions that each patient has about the illness, and ultimately improve the health outcomes. This framework can be used to guide self-management intervention development and assure effective clinical assessment.

• The Research Journal of the Costume Culture
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• v.23 no.5
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• pp.778-792
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• 2015

The purpose of this study is to identify women (aged from 49~59), who have recently emerged as consumers, and their clothing preferences, and it suggests how to make jackets provide better fit and wearability. The results of the study are as follows. In drafting a pattern for size 66 tailored collar jacket with an X-silhouette, it was made with front waist length measuring B/4+1.5 cm, a back length of B/4+1.3 cm, an armhole depth of B/4, a hip ease of H/4+1.2 cm and a sleeve opening of 34.5 cm, to allow for easy movement. In drafting a size 66 high neck collar jacket, it was made with a front and back waist length measuring B/4+1.5 cm, an armhole depth of B/4, a hip ease of H/4+1.2 cm and a sleeve opening of 35 cm. In drafting a size 66 sports collar jacket with an A-silhouette, it was made with front and back waist lengths measuring B/4+1.5 cm, an armhole depth of B/4, and a side dart of 1.3 cm, to provide raglan sleeves. The last experimental jacket pattern improved the appearance and moving fitness evaluation especially for shoulder and arm movement. Based on analysis, jackets were made and subjected to an appearance evaluation using multi-modules to test the level of wearing satisfaction for each fabric and silhouette. the results of the multi-module wearing tests indicate that the preferred silhouettes caused less stressful situations in terms of both psychological and physiological signals.

• Journal of Internet Computing and Services
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• v.18 no.4
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• pp.19-25
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• 2017

In this paper, we designed and implemented IoT sensors based badminton motion analysis and training system that can be readily used by badminton players with PC. Unlike the traditional badminton training system which uses signals of the flags by coach, the proposed electronic training system used IoT sensors to automatically detect and analysis the motions for badminton players. The proposed badminton motion analysis and training system has the advantage with low power, because it communicates with the program through BLE communication. The badminton motion analysis system automatically measures the training time according to the player's movement, so it is possible to collect objective result data with less errors than the conventional flag signal based method by coach. In this paper, training data of 5 athletes were collected and it provides the feedback function through the visualization of each section of the training results by the players which can enable the effective training. For the weakness section of each player, the coach and the player can selectively and repeatedly perform the training function with the proposed training system. Based on this, it is possible to perform the repeated training on weakness sections and they can improve the response speed for these sections. Continuous research is expected to be able to compare more various players' agility and physical fitness.

• The Journal of Korean Association of Computer Education
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• v.8 no.5
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• pp.63-72
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• 2005

The purpose of this study is finding factors affecting the decision of Web-based learning system (Edunet) use and searching for ways to diffuse Edunet use. Based on the diffusion of innovations theory and the results of the previous studies about web-based instruction, seven predictors influencing the decision of Edunet use were extracted. Seven variables as the followings; (1) perceived attributes of innovation (Relative Advantage, Compatibility, Complexity) (2) Innovativeness (3) Self-efficacy (4) Subjective Norm (5) Support. The participants were 315, 5-6th grade elementary school students, and the questionnaire was 20-item with 7-point Likert scales. To analyze the collected data and test the hypothesis, binary logistic regression was employed. The result indicated that the fitness of regression model including seven decision factors was proved. In addition, two factors, subjective norm and support, were identified as the important decision factors of Edunet use.

• Culinary science and hospitality research
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• v.17 no.4
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• pp.25-38
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• 2011

The purpose of this study is to understand the influence of employees' career development in the hotel industry on person-job fit and job satisfaction. Based on total 353 employees obtained from empirical research, this study reviews the reliability and fitness of the research model and verifies a total of 3 hypotheses using the AMOS program. The hypothesized relationships in the model test are also analyzed using a structural equation model(SEM). The proposed model provided an adequate fit to the data, ${\chi}^2$=563.417(p<0.001), df=236, CMIN/DF=2.387, RMR=.070, GFI=.881, AGFI=.848, NFI=.921, CFI=.952, RMSEA=.065. The SEM results show that employees' career management (${\beta}$=.138), career plan ${\beta}$=.284), and career identity (${\beta}$=.437) among employees' career development plans have significant positive effects on person-job fit. Also, employees' career management (${\beta}$=.238) and employees' person-job fit (${\beta}$=.637) have significant positive effects on job satisfaction. Limitations and future research directions are also discussed.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.1
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• pp.64-72
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• 2016

In this paper, we utilize a Gaussian process to predict the power consumption in the air-conditioning system. As the power consumption in the air-conditioning system takes a form of a time-series and the prediction of the power consumption becomes very important from the perspective of the efficient energy management, it is worth to investigate the time-series model for the prediction of the power consumption. To this end, we apply the Gaussian process to predict the power consumption, in which the Gaussian process provides a prior probability to every possible function and higher probabilities are given to functions that are more likely consistent with the empirical data. We also discuss how to estimate the hyper-parameters, which are parameters in the covariance function of the Gaussian process model. We estimated the hyper-parameters with two different methods (marginal likelihood and leave-one-out cross validation) and obtained a model that pertinently describes the data and the results are more or less independent of the estimation method of hyper-parameters. We validated the prediction results by the error analysis of the mean relative error and the mean absolute error. The mean relative error analysis showed that about 3.4% of the predicted value came from the error, and the mean absolute error analysis confirmed that the error in within the standard deviation of the predicted value. We also adopt the non-parametric Wilcoxon's sign-rank test to assess the fitness of the proposed model and found that the null hypothesis of uniformity was accepted under the significance level of 5%. These results can be applied to a more elaborate control of the power consumption in the air-conditioning system.

• Korean journal of food and cookery science
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• v.28 no.1
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• pp.67-76
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• 2012

This study examined the optimal ingredient mixing ratio for the preparation of steamed cake containing mugwort (Artemisia princeps var. orientalis) powder. After preliminary studies, the following ingredient ranges were determined; 110~129% sugar, 3~8% mugwort powder, 10~25% oil. Among the different mixture designs, the D-optimal design was chosen for analysis. The results of F-test, specific gravity, viscosity, volume and color values (L, a, b), hardness decided a linear model, while the sensory characteristics (color, taste, texture and overall acceptance) decided a quadratic model. The fitness analysis results showed that in all characteristic, the probabilities were significant within 0.05%; thus, the models were accepted as appropriate. The response surface and trace plot results showed that increasing amounts of mugwort powder decreased the brightness, and increased redness and yellowness. As the level of added oil increased, the softness of the cake increased. Cake samples received low sensory evaluation scores when sugar, mugwort powder, and oil were added above their optimal levels. The optimum formulations by the numerical and graphical methods, were similar, and with the numerical method presented as: sugar, mugwort powder, and oil at 120.7%, 5.1%, and 16.2%, respectively(flour weight basis). The above results demonstrate the feasibility of adding mugwort powder to sponge cake, and therefore, the commercialization of mugwort powder cake marketed as a functional food is deemed possible.

• Korean journal of food and cookery science
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• v.25 no.3
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• pp.317-329
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• 2009

In the study, we determined the optimal ingredient mixing ratio for the preparation of sponge cake containing bamboo (Pseudosasa japonica Makino) leaves. This experiment was designed in according with the D-optimal design of mixture design, which involved 14 experimental points including 4 replicates for three independent variables (sugar 110${\sim}$129%, bamboo leaves 3${\sim}$8%, oil 10${\sim}$25%). The results the F-test, specific gravity, volume and color values (L, a, b) decided a linear model, while the viscosity, hardness and sensory characteristics (color, smell, taste, texture and overall acceptance) decided a quadratic model. The results of our fitness analysis demonstrated that in all characteristic, the probabilities were significant within 0.05%; thus, the models were accepted as appropriate. The response surface and trace plot results demonstrated that increasing amounts of added bamboo leaves induced a reduction in brightness, and increasing redness and yellowness. In addition, increasing amounts of bamboo leaves caused increases in hardness, and thus the softness of the cake decreased. And as the level of added oil increased, softness increased. Cake samples received low sensory evaluation scores when sugar, bamboo leaves, and oil were added above their optimal levels. In the numeric optimization, the optimal ingredient amounts were 121.36% sugar, 4.96% bamboo leaves, and 15.69% oil. The above results demonstrate the feasibility of adding bamboo leaves to sponge cake, and therefore, a bamboo leaves as a functional food.

• Culinary science and hospitality research
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• v.23 no.3
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• pp.89-99
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• 2017

The purpose of this study is to examine the effects of foodservice employees' workplace harassment on their coping styles and intention to leave. Based on total 374 foodservice employees obtained from the empirical research, this study reviewed reliability and fitness of research model and verified total 3 hypotheses. SEM was conducted to test the validity of the proposed model and the hypotheses. The structural model provided an adequate fit to the data, $x^2=1,344.862$ (p<.001), df=420, GFI=.839, IFI=.900, CFI=.900, RMSEA=.076. To examine how employees' workplace harassment affects coping with harassment; workplace harassment had a significant effect on self-doubt (${\beta}=.401$, p<.001), ignored bully doubt (${\beta}=.621$, p<.001), and indirect or passive doubt (${\beta}=.527$, p<.001); whereas problem solving (${\beta}=-.094$, p>.05) did not. Furthermore, employees' workplace harassment (${\beta}=.126$, p<.05) had no significant effect on intention to leave. Employees' coping with harassment had a significant effect on intention to leave; especifically, among employees' coping with harassment elements, problem solving(${\beta}=-.572$; p<.001), self-doubt (${\beta}=.369$, p<.001), indirect or passive (${\beta}=.239$, p<.001), and ignored bully (${\beta}=-.161$, p<.01) had a significant effect on intention to leave. Limitations and future research directions are also discussed.