• Journal of Digital Convergence
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• v.13 no.6
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• pp.317-325
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• 2015

The purpose of this study is fusion-dimensional image of the body standing walking exercise female participants to convergence investigate the effects of psychological happiness In order to serve this purpose, questionnaires were used for females who participated into the walking program worked on by the National Health Insurance Corporation in 2014. A convenience sample was used for 150 subjects. Unanswered questions and questionnaires that did not meet normalcy were excluded, and 135 samples were extracted to use them for final analysis. Frequency analysis was performed for the collected data in order to examine demographical characteristics by using the SPSS/WIN 20.0 V program. In addition, multiple regression analysis was performed in order to resolve research issues. Cronbach' ${\alpha}$ verification and exploratory factor analysis were performed. The result of the aforementioned research and data analysis in this study is as follows: Perceived competence, looks, and health during the walking of female participants turned out to make static, positive effects on immersion and happiness, which were the lower-level factor of psychological happiness.

• Journal of Digital Convergence
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• v.10 no.3
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• pp.191-196
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• 2012

The importance of hi-tech communications technology including mobile or ubiquitous system and the related business field is currently expanding. In terms of wellness for enhancing quality of individual life, ICT technology became a requirement, not an option. The first purpose of this study is to identify factors that influence user's perceived usefulness & perceived ease of use related to the acceptance of TAM focused on ubiquitous fitness service through multiple regression analysis, thereby discovering important factors influencing consumer behavior. In conjunction with the result, the second purpose of this study has also its implication on the u-Healthcare system development using QFD. That is, this research is to propose the possibility of combining the external variables of TAM to u-Healthcare system service characteristics with user requirement reflected by using QFD method. Based on these results, the suitable system may be constructed and developed.

• The Journal of Society for e-Business Studies
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• v.22 no.3
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• pp.43-55
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• 2017

The market for medical tourism services in the world is steadily increasing and the medical tourism market in the South Korea is also showing high growth. However, they have also problem such as informal various information and services, irregularity price competition etc. In order to solve this problem, We have designed a medical tourism service model based on ICT specific on domestic medical ecosystem. First, analysis trends of domestic and overseas medical ecosystem and identify current problem of medical tourism. In order to solve existed problem we also have designed a medical tourism strategy. Based on the strategy, we have designed business service model based on ICT platform for as fit as Korea medical tourism status. The proposed medical tourism business service model can provide usability to customer and also can solve current medical tourism problem. We expect industrial effect and contribution to the activation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.12
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• pp.2297-2304
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• 2016

In this study, we designed and developed the virtual reality Exergame using the smart mat and the camera sensor for exercises in indoor environments. For detecting the gestures of a upper body of users, the KINECT camera based the gesture recognition algorithm used angles between user's joint information system was adopted, and the smart mat system including a LED equipment and Bluetooth communication module was developed for user's stepping data during the exercises that requires the gestures and stepping of users. Finally, the integrated virtual reality Exergame system was implement along with the Unity 3D engine and different kinds of user' virtual avatar characters with entertainment game contents such as displaying gesture guideline and a scoring function. Therefore, the designed system will useful for elders who need to improve cognitive ability and sense of balance or general users want to improve exercise ability and the indoor circumstances such home or wellness centers.

• Journal of the Korean Solar Energy Society
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• v.34 no.4
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• pp.23-29
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• 2014

Recently, in power system studies, Multiple Energy Carriers (MECs) such as Energy Hub has been broadly utilized in power system planners and operators. Particularly, Energy Hub performs one of the most important role as the intermediate in implementing the MECs. However, it still needs to be put under examination in both modeling and operating concerns. For instance, a probabilistic optimization model is treated by a robust global optimization technique such as multi-agent genetic algorithm (MAGA) which can support the online economic dispatch of MECs. MAGA also reduces the inevitable uncertainty caused by the integration of selected input energy carriers. However, MAGA only considers current state of the integration of selected input energy carriers in conjunctive with the condition of smart grid environments for decision making in Energy Hub. Thus, in this paper, we propose an immune algorithm based Multiple Energy Carriers System which can adopt the learning process in order to make a self decision making in Energy Hub. In particular, the proposed immune algorithm considers the previous state, the current state, and the future state of the selected input energy carriers in order to predict the next decision making of Energy Hub based on the probabilistic optimization model. The below figure shows the proposed immune algorithm based Multiple Energy Carriers System. Finally, we will compare the online economic dispatch of MECs of two algorithms such as MAGA and immune algorithm based MECs by using Real Time Digital Simulator (RTDS).

• Fashion & Textile Research Journal
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• v.19 no.4
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• pp.486-492
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• 2017

This study finds surface color and functions of natural dyeing from Chamaecyparis obtusa leaves which help cure skin problems such as atopic dermatitis. This study also seeks to find dyeing properties and functions of natural colorants derived from Chamaecyparis obtusa and Rubia tinctorum on silk. Dyeing properties and functions are compared between silks dyed with Chamaecyparis obtusa and silks composite-dyed with Chamaecyparis obtusa and Rubia tinctorum. The comparison examines the feasibility of developing healthy and high functional fabrics and wellness of fashion merchandises. Silk dyeing with Chamaecyparis obtuse leaves yields yellow and double coloring from Chamaecyparis obtusa; however, Rubia tinctorum yields yellow/red on silks. Silks dyed with Chamaecyparis obtusa and silks composite-dyed with Chamaecyparis obtusa and Rubia tinctorum show a high level on dry cleaning, ultraviolet protection and deodorization. Especially, the dyed silks from leaves of Chamaecyparis obtusa show a 99.7% antimicrobial effect against staphylococcus aureus ATCC 653B. Silks composite-dyed with Chamaecyparis obtusa and Rubia tinctorum are better known for medicinal herb for dermatitis, and natural colorant, Rubia tinctorum does not improve significantly functions compared with silks dyed with Chamaecyparis obtusa. However, the dyeing properties improve by composite dyeing. This implies that ways to maximize effects of tie-dyeing technique could be developed.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.8 no.6
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• pp.2070-2086
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• 2014

As a kind of personal lifelog data, activity data have been considered as one of the most compelling information to understand the user's habits and to calibrate diagnoses. In this paper, we proposed a robust algorithm to sampling rates for human activity recognition, which identifies a user's activity using accelerations from a triaxial accelerometer in a smartphone. Although a high sampling rate is required for high accuracy, it is not desirable for actual smartphone usage, battery consumption, or storage occupancy. Activity recognitions with well-known algorithms, including MLP, C4.5, or SVM, suffer from a loss of accuracy when a sampling rate of accelerometers decreases. Thus, we start from particle swarm optimization (PSO), which has relatively better tolerance to declines in sampling rates, and we propose PSO with an adaptive boundary correction (ABC) approach. PSO with ABC is tolerant of various sampling rate in that it identifies all data by adjusting the classification boundaries of each activity. The experimental results show that PSO with ABC has better tolerance to changes of sampling rates of an accelerometer than PSO without ABC and other methods. In particular, PSO with ABC is 6%, 25%, and 35% better than PSO without ABC for sitting, standing, and walking, respectively, at a sampling period of 32 seconds. PSO with ABC is the only algorithm that guarantees at least 80% accuracy for every activity at a sampling period of smaller than or equal to 8 seconds.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.479-487
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• 2016

This study aimed to investigate the difference of the disabilities type of caring competency, caring appraisal(caring burden, caring satisfaction), self-help group support for parents who have children with disabilities. The data were collected by a self-reported questionnaire from 301 parents who have disabled children(180 mental disabilities & 121 physical disabilities). Given the three types of invariance satisfied, latent means analysis(LMA) is performed to test mean differences on the four factors across the two groups. According to LMA where the parents who have children with physical disabilities are used as the reference group, the parents who have children with mental disabilities showed higher latent mean values on the self-help group support and caring burden. However, the parents who have children with physical disabilities showed higher latent mean values on the caring satisfaction and caring competency.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.215-222
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• 2020

The aim of this study was to develop a mobile application 'Beat Processing Device (BPD)' to record and quantify the data for the performance accuracy of rhythm production. BPD has been developed in three phases. First, we reviewed studies that used rhythm as main intervention strategy to improve cognitive functioning of older adults, and derived four basic rhythm idioms. Second, we developed an iOS-based mobile application, optimized the device, the instrument tone, and the measurement variables through preliminary test. Lastly, we tested the mobile application by comparing the performance data obtained from MIDI and BPD from 60 older adults. The device was shown to be reliable and consistent with other mode of measurement and analysis. Conclusively, BPD can be a useful tool for assessing rhythm production ability in the course of cognitive skills training.

• Journal of Nutrition and Health
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• v.54 no.3
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• pp.305-320
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• 2021

Purpose: This study analyzed the dietary patterns of Central Asian immigrant workers (Mongolia, Kazakhstan, Uzbekistan, and Kyrgyzstan) living in South Korea to determine the food acculturation and how their dietary practices have changed after immigration. Methods: Self-administered questionnaires were completed by 186 Central Asian immigrant workers living in South Korea. A food frequency questionnaire (FFQ) was used to obtain information on the consumption frequency of 22 food items before and after their immigration to Korea. Results: Central Asians switched to Korean meat consumption patterns, which consume mainly pork, chicken, and beef, showing a decrease in the intake of beef and lamb and an increase in that of pork. Their consumption of Namul (cooked vegetable), Kimchi, rice, and marine products increased while that of potatoes decreased during acculturation to Korean food culture. Positive changes were observed in Mongolians' eating habits. Their meat-based diet turned into a healthy one in which nutritional balance was achieved by consuming the various food groups. Negative dietary changes were also observed; intake of instant foods and coffee increased while black and green tea consumption decreased. Intake of Namul (p < 0.01), Kimchi (p < 0.01), rice (p < 0.001), ramen (p < 0.001), pork, chicken (p < 0.01), fish (p < 0.01), seafood (p < 0.001), and coffee (p < 0.001) increased significantly in the group that responded and their health improved after moving to Korea. This result suggests that health improved among those who were well settled in Korea and ate the various food groups. Conclusion: These findings can help understand the acculturation process to Korean food culture and provide a basis for developing policies to help them adjust to Korean food culture.