• Korean Journal of Artificial Intelligence
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• v.5 no.1
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• pp.18-28
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• International Journal of Advanced Culture Technology
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• v.5 no.2
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• pp.74-81
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• 2017

Recently, there are many companies that use systems based on artificial intelligence. The accuracy of artificial intelligence depends on the amount of learning data and the appropriate algorithm. However, it is not easy to obtain learning data with a large number of entity. Less data set have large generalization errors due to overfitting. In order to minimize this generalization error, this study proposed DGA(Dropout Genetic Algorithm) which can expect relatively high accuracy even though data with a less data set is applied to machine learning based genetic algorithm to deep learning based dropout. The idea of this paper is to determine the active state of the nodes. Using Gradient about loss function, A new fitness function is defined. Proposed Algorithm DGA is supplementing stochastic inconsistency about Dropout. Also DGA solved problem by the complexity of the fitness function and expression range of the model about Genetic Algorithm As a result of experiments using MNIST data proposed algorithm accuracy is 75.3%. Using only Dropout algorithm accuracy is 41.4%. It is shown that DGA is better than using only dropout.

• Journal of the Korean Applied Science and Technology
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• v.37 no.3
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• pp.551-563
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• 2020

The purpose of this study was to identify the characteristics of health-related indicators according to the participation of swimming program by adults with intellectual disabilities(ID). To this end, 20 adults with IDs, aged 20-39 living in Busna, were selected. Participants divided into two groups: swimming program participation(n=10) and non-participation(n=10). Data were collected by measuring the subjects health-related physical fitness, stress hormones, and immune function and data analysis was conducted using SPSS 18.0, paired t-test, independent t-test and two-way ANOVA. As a result, muscle strength(p<.001), muscular endurance(p<.001), flexibility(p<.001), cardiovascular endurance(p<.01) improvement of exercise group significantly but there was no significant difference in the control group. The stress hormone cortisol(p<.01) was significantly decreased in the exercise group and there was no significant difference in the control group. The immunoglobulins, IgA(p<.05), IgG(p<.001), IgM(p<.05) were significantly increased in the exercise group, but not significantly different in the control group. Therefore, regular swimming program can be said to be a very effective exercise program for improving the physical fitness of adults with IDs, and it is thought that it can reduce stress and help improve immune function. This suggests the need for active physical activity program development and intervention to maintain the health of adults with IDs and prevent chronic diseases.

• 한국체육학회지인문사회과학편
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• v.56 no.5
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• pp.665-677
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• 2017

This study aimed to examine the evolution of exercise performance and medical assessments in U-12 youth football players. Participants were recruited from an youth football players (YFG, n=15; $11.2{\pm}0.9yrs$) and normal youth (CON, n=15; $11.5{\pm}0.6yrs$). Both groups were tested for exercise performance (health related physical fitness, skill related physical fitness, functional movement screen; FMS and Y-balance) and medical assessments (lower extremity alignment, range of motion; ROM and manual muscle test; MMT). YFG showed a positive effects on pacer in health related physical fitness, 50-m run and Single-leg standing with eyes closed in skill related physical fitness, active straight leg raise and rotary stability in FMS, non-dominant composite score in Y-balance, respectively compared to CON. However, YFG showed a negative effects on Q-angle of dominant and non-dominant in lower extremity alignment, dorsiflexion of non-dominant, plantarflexion of dominant and non-dominan in ROM, hip extension and abduction, knee flexion and extension of dominant, knee flexion and extension of non-dominant in MMT, respectively compared to CON. These results indicated that U-12 youth football players have shown excellent exercise performance, but medical assessments has proved negative effects.

• Journal of Auto-vehicle Safety Association
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• v.3 no.2
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• pp.17-21
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• 2011

Vehicle safety device such as active headrest and rear detection system has been developing as people are interested about rear end collision more than head on or than front. However, there is no any standard or criterion in order to evaluate vehicle safety device for rear end collision. Also there is no test protocol about rear end collision in vehicle experiment. Therefore, this research developed scenario for experiment about rear end collision in vehicle experiment. Also this research evaluated dangerousness about vehicle test and fitness about re-enacting rear end collision using scenario developed using commercial software (PC-Crash) which can re-enact vehicle collision in virtual vehicle experiment. Scenario developed according to statistics from National Highway Traffic Safety Administration and German In-Depth Accident Study. Scenario has twelve cases which composed of Re-LVS (Rear end Leading Vehicle Stop), Re-LVM (Rear end Lead Vehicle Moving) and scenario for evaluation about malfunction of active headrest.

• The Korean Journal of Food & Health Convergence
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• v.6 no.2
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• pp.23-26
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• 2020

Active and therapeutic sport recovery is becoming a popular and important component in approving performance for pro and recreational athletes alike. It is also helping in the realm of injury prevention. In the search of finding modalities that are widely effective, natural, and safe, acupuncture is a viable and cost-effective treatment for helping athletes achieve this goal. More direct related research is needed, but testimonials from pro athletes and the body of research that currently exists provides powerful evidence on acupunctures ability to help with enhancing recovery. Specializing in acupuncture and exercise science, Chris integrates acupuncture into musculoskeletal rehabilitation therapy or fitness training for pain modulation, speedy recovery, and enhanced performance. Clients can choose to focus on one-on-one corrective exercise therapy, manual and massage therapy, or acupuncture. However, for best results, Chris recommends all three. Other modalities that he uses in therapy are acu-taping, herbal therapy, nutrition supplementation, cupping, guasha, and stretching techniques. The corrective exercise component is one-on-one body balancing management, focusing on strength and conditioning, post physical rehab - exercise therapy, integrative sport specific exercise, weight loss, core strengthening, dynamic lumbar stabilization, active recovery techniques, and myo-fascial release techniques. The acupuncture component focuses on sport injuries, myofascial pain, peripheral neuropathy, arthritis, facial rejuvenation, stress, smoking cessation, addiction detoxification program, weight management, sport recovery and performance.

• International Journal of Internet, Broadcasting and Communication
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• v.13 no.1
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• pp.37-46
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• 2021

Recently, social technologies have been created to solve problems from businesses for the establishment of generational solidarity ecosystem in terms of employment, residential space, network and social capital, age, cognitive and environmental aspects. This is senior-friendly healthcare business system aimed at meeting the senior needs for health life to enjoy active consumption culture life even after retirement, becoming a catalyst for minimizing generational conflicts, preventing the cognitive and physical deterioration of seniority in the areas of life healthcare, fitness and well-aging, and expanding into systems necessary for seniority self-reliance. We would like to draw up the development and requirements of the concept of the service platform for the study of collective characteristics for generation solidarity with senior class and the establishment of a customized senior health life system for generation solidarity. This system is characterized by a platform that can prevent the decline of seniors' cognitive and physical functions and enhance emotional stability. It is significant in providing feedback on the risk perception index, fall index, and prevention training index information to the child through the analysis and extraction of the senior health index for risk perception, fall probability, and fall prevention.

• Advances in concrete construction
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• v.11 no.1
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• pp.1-9
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• 2021

This article discusses the issue of optimizing controller design issues, in which the artificial intelligence (AI) evolutionary bat (EB) optimization algorithm is combined with the fuzzy controller in the practical application of the building. The controller of the system design includes different sub-parts such as system initial condition parameters, EB optimal algorithm, fuzzy controller, stability analysis and sensor actuator. The advantage of the design is that for continuous systems with polytypic uncertainties, the integrated H2/H∞ robust output strategy with modified criterion is derived by asymptotically adjusting design parameters. Numerical verification of the time domain and the frequency domain shows that the novel system design provides precise prediction and control of the structural displacement response, which is necessary for the active control structure in the fuzzy model. Due to genetic algorithm (GA), we use a hierarchical conditions of the Hurwitz matrix test technique and the limits of average performance, Hierarchical Fitness Function Structure (HFFS). The dynamic fuzzy controller proposed in this paper is used to find the optimal control force required for active nonlinear control of building structures. This method has achieved successful results in closed system design from the example.

• Journal of Preventive Medicine and Public Health
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• v.30 no.1 s.56
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• pp.181-193
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• 1997

The purpose of this study was to identify population subgroups with similar patterns of diet quality, physical activity, alcohol consumption and cigarette smoking of Korean. The cluster analysis was conducted using the data from Korea National Health Survey(KNHS) in 1995, which consisted of 5,805 persons. We identified six health behavior typologies : 32.9% of the sample had a good diet but sedentary activity level(good diet lifestyle), 7.2% had high activity level but less diet quality(fitness lifestyle). Individuals in the passive lifestyle cluster(39.1%) had no active health promoting activities but tended to avoid risk taking health behavior such as cigarette smoking and alcohol drinking. 1.1% of the sample were in a drinking cluster, 17.2% in a smoking cluster and 2.5% had a hedonic lifestyle characterized by heavy drinking and smoking. The other characteristics of these lifestyle clusters could be presented by demographic and socioeconomic factors.

• Journal of the Korean Society of Costume
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• v.66 no.3
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• pp.75-92
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• 2016

The purpose of this study was to prove how sociocultural perspective of obesity, differences in consumers' perception of body and attitudes of accepting obesity affected individuals' clothing behaviors through cross-cultural studies. The data collected were composed of 612 Korean and US consumers in the 20's and 30's that had experiences in purchasing plus-size products. The results were as follows. First, BMI index was lower in Korean consumers than the US consumers, but Korean consumers received more stress from being overweight compared to the US consumers, and had a more negative attitude about their body. Second, although Korean consumers had lower BMI index and degrees of obesity than US consumers, they were severely stressed by obesity and were found to have a higher level of dissatisfaction with their bodies. Third, Korean consumers responded more sensitively to obesity and had a tendency to display a more negative attitude regarding obesity, and a more passive dependence on clothing. Forth, differences in the body shape were reflected even in wearing evaluation, and US consumers showed a more positive attitude toward evaluations of size suitability and fitness. Fifth, the plus-size market for Korean consumers was still not active, and most products purchased were generic brands obtained from online shopping malls through the Internet. However, in the case of the US, in which the ratio of obese people is high and the plus-size market is growing, consumers were purchasing plus-size brands through various distribution online and offline channels. Sixth, Korean consumers were less satisfied than US consumers with shops, sizes and fitness; however, they were more satisfied with design factors. Finally, it is expected that this study can offer practical implications for marketers and product developers running plus-size market for young obese consumers in their 20 and 30s.