• Korean Journal of Human Ecology
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• v.23 no.4
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• pp.743-757
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• 2014

The purpose of this study was to compare nutrient intakes, blood lipids and bone density of male(n=69) and female(n=71) according to the obesity index by %Fat. The average energy intakes of obesity group was higher than normal group in male & female(p<0.001). The protein and fat intakes among three energy nutrients for male were higher than normal group(p<0.05~0.01), and carbohydrate intake of obesity group in female was higher than the other groups. TG, TC/HDL, blood glucose, blood pressure in male were higher than female(p<0.01~0.001), but HDL in male was lower than female. TC/HDL and diastolic blood pressure of obesity group were higher than normal group in male(p<0.05), but had not significant in female. Blood glucose in male was higher than female(p<0.001). T-score of forearm(=-1.26) and calcaneus(=0.42) for female were lower than male(=-0.63, 0.83), and T-score of calcaneus for obesity group(=1.03) in female was higher than normal group(=0.10). The T-score of forearm for obesity group in female was higher than the other group, but was not significant. These results suggest that ratio among three energy nutrients was kept balance for obesity group, especially, fat must be reduced in male than female, carbohydrate will be reduced in female than male to prevent obesity. Nutritional education for treatment obesity to prevent hyperlipidemia and arteriosclerosis is important for male too. T-score of forearm was lower than calcaneus in female, so exercise with arm than leg would be required to accumulate calcium in bone and to increase muscle to prevent osteoporosis.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.11 no.8
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• pp.3984-4005
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• 2017

Image recognition has become an increasingly important topic for its wide application. It is highly challenging when facing to large-scale database with large variance. The recognition systems rely on a key component, i.e. the low-level feature or the learned mid-level feature. The recognition performance can be potentially improved if the data distribution information is exploited using a more sophisticated way, which usually a function over hidden variable, model parameter and observed data. These methods are called generative score space. In this paper, we propose a discriminative extension for the existing generative score space methods, which exploits class label when deriving score functions for image recognition task. Specifically, we first extend the regular generative models to class conditional models over both observed variable and class label. Then, we derive the mid-level feature mapping from the extended models. At last, the derived feature mapping is embedded into a discriminative classifier for image recognition. The advantages of our proposed approach are two folds. First, the resulted methods take simple and intuitive forms which are weighted versions of existing methods, benefitting from the Bayesian inference of class label. Second, the probabilistic generative modeling allows us to exploit hidden information and is well adapt to data distribution. To validate the effectiveness of the proposed method, we cooperate our discriminative extension with three generative models for image recognition task. The experimental results validate the effectiveness of our proposed approach.

• Journal of Korea Multimedia Society
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• v.25 no.6
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• pp.886-893
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• 2022

Outlier detection refers to the task of detecting data that deviate significantly from the normal data distribution. Most outlier detection methods compute an outlier score which indicates the degree to which a data sample deviates from normal. However, setting a threshold for an outlier score to determine if a data sample is outlier or normal is not trivial. In this paper, we propose a binary prediction method for outlier detection based on spectral clustering and one-class SVM ensemble. Given training data consisting of normal data samples, a clustering method is performed to find clusters in the training data, and the ensemble of one-class SVM models trained on each cluster finds the boundaries of the normal data. We show how to obtain a threshold for transforming outlier scores computed from the ensemble of one-class SVM models into binary predictive values. Experimental results with high dimensional text data show that the proposed method can be effectively applied to high dimensional data, especially when the normal training data consists of different shapes and densities of clusters.

• Korean Journal of Community Nutrition
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• v.21 no.3
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• pp.284-292
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• 2016

Objectives: This study compared the differences of postmenopausal women's bone mineral density in relation to the degree of obesity, metabolism index and dietary factors that affect bone mineral density. Methods: The subjects included in the study are 39 postmenopausal women of normal weight with body mass index less than $25kg/m^2$ and 32 postmenopausal who are obese. Anthropometry and biochemical analysis were performed and nutrient intakes and DQI-I were assessed. Results: Normal weight women were $56.03{\pm}3.76years$ old and obese women were $58.09{\pm}5.13years$ old and there was no significant difference in age between the two groups. The T-score of bone mineral density was $0.03{\pm}1.06$ in normal weight women and $-0.60{\pm}1.47$ in obese women and this was significantly different between the two groups (p<0.05). Blood Leptin concentration was significantly lower in normal weight women ($6.09{\pm}3.37ng/mL$) compared to obese women in ($9.01{\pm}4.99ng/mL$) (p<0.05). The total score of diet quality index-international was $70.41{\pm}9.34$ in normal weight women and $64.93{\pm}7.82$ in obese women (p<0.05). T-score of bone mineral density showed negative correlations with percentage of body fat (r = -0.233, p=0.05), BMI (r = -0.197, p=0.017), triglyceride (r = -0.281, p=0.020) and leptin (r = -0.308, p=0.011). The results of multiple regression analysis performed as the method of entry showed that with 22.0% of explanation power, percentage of body fat (${\beta}=-0.048$, p<0.05), triglyceride (${\beta}=-0.005$, p<0.05) and HDL-cholesterol (${\beta}=0.034$, p<0.01), moderation of DQI-I (${\beta}=-0.231$, p<0.05) affected T-score significantly. Conclusions: The results of the study showed that obese women have less bone density than those with normal weight women. In addition, the factor analysis result that affect bone mineral density showed that intake of fat is a very important factor. Therefore, postmenopausal women need to maintain normal weight and manage blood lipid levels within normal range. They also need to take various sources of protein and reduce consumption of empty calorie foods that have high calories, fat, cholesterol and sodium.

• Journal of Biomedical Engineering Research
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• v.27 no.6
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• pp.351-356
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• 2006

The purpose of this study is to investigate the gait characteristics in Parkinson's disease patients. Specifically, the total stance time and the ratio of each stance phase (heel strike, mid-stance, propulsion) are analyzed from the foot-pressure measurement system which requires low cost and small space compared to the conventional gait analysis system. The gait characteristics were analyzed in 23 Parkinson's disease patients (before and after L-dopa medication), 34 elderly (sixties) normal subjects and 21 young (twenties) normal subjects. Bradykinesia global score (self-developed score of slowness of body movement) of patients before medication was determined to see the relationship between the score and the gait characteristics. The total stance time was greater in the erde. of patients, elderly, youngs (p<0.05). The phase ratio of heel strike and propulsion was smaller and that of mid-stance was greater in the order of patients, elderly, youngs (p<0.05). However, there was no significant difference in the above gait characteristics of patients before and after medication. There was a tendency, though statistically non-significant, that the total stance time is longer and the propulsion phase ratio is shorter in patients with greater Bradikinesia global scale, and this tendency was relieved after medication.

• Journal of Acupuncture Research
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• v.28 no.5
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• pp.127-133
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• 2011

Objectives : The aim of the study is to investigate the correlation of Ryodoraku score and four constitution in the patients with chronic low back pain. Methods : Using Pearson's correlation test, we divided 79 patients into two groups(normal and chronic low back pain group) and analyzed the correlation between Ryodoraku score and major constitution rate of four constitution. Results : 1. Ryodoraku score in the chronic low back pain group was mostly found to be below 40 ${\mu}A$, regardless of constitution. 2. There was negative correlation on F2 in lesser Yin person of chronic low back pain group, and there was positive correlation on H4 H5 F2 F4 and F5 in greater Yin person of chronic low back pain group. 3. There was negative correlation on H1 and H6 in lesser Yang person of normal group. 4. There was negative correlation on H6 in lesser Yang person of total group including normal and chronic low back pain group. Conclusion : These results suggest that roydoraku should be correlated to four constitutional diagnosis in part and available to increase accuracy of four constitutional or Ryodoraku diagnosis.

• Journal of Nutrition and Health
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• v.24 no.3
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• pp.157-165
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• 1991

The purpose of this study was to investigate differences in body fat distribution between normal and obese subjects and the relationship between risk factors(fasting blood sugar, blood pressure. fasting serum lipids) and obesity. Measurements of height. weight, skinfold thickness. body circumference. percent body fat. blood pressure, fasting blood sugar and serum lipids were made and a dietary survey was performed on 120(Males 61. Females 59) adult subjects. 1) Among the female subjects, the obese group appeared to have significantly higher centrality of body fat than the normal group. Obese groups of both sexes appeared with higher blood pressure than normal groups. No differences in daily average nutrient intake, fasting blood sugar and fasting serum lipids concentrations were observed between obese and normal groups. 2) In males. the serum triglyceride concentration was observed to have a significantly positive correlation to body weight, body mass index and body circumference, additionally concentrations of total cholesterol and LDL-cholesterol were observed to have significantly positive correlations to the skinfold thickness. but the ratio of HDL-cholesterol/total cholesterol was observed to be significantly negatively correlated to the skinfold thickness. 3) In females. the obese group consumed about 47% of total energy intake at lunch. whereas the normal group consumed about 29% . The food habit score of males appeared to be negatively related to body weight, percent ideal body weight. But the food habit score of females appeared to be negatively related to percent body fat(r=-0.32, p<0.05) .

• Journal of the Ergonomics Society of Korea
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• v.31 no.5
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• pp.637-646
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• 2012

Objective: The aim of this study was to develop the adaptive device for severe physical disabilities using smart device in the driving simulator and its performance evaluation. Development of appropriate driving adaptive device for the people with serious physical limitation could contribute to maintain their community mobility. Background: There is lack of adaptive driving devices for the people with disabilities in Korea. However, if smart device systems like iPod and iPhone are used for driving a car, the people with serious physical limitations can improve their community mobility. Method: Both gyroscope and accelerometer from iPod were used to measure the tilted angle of the smart device for driving. Customized Labview program was also used to control three axis motors for steering wheel, accelerator and brake pedals. Thirteen subjects were involved in the experiment for performance evaluation of smart device in simulator. Five subjects had driver licenses. Another four subjects did not have driver licenses. Others were people with disabilities. Results: Average driving score of the normal group with driver license in the simulator increased 46.6% compared with the normal group without driver license and increased 30.4% compared with the disabled group(p<0.01). There was no significant difference in the average driving score between normal group without driver license and disabled group(p>0.05). Conclusion: The normal group with driver license showed significantly higher driving score than other groups. The normal group without driver license and disabled group could improve their driving skills with training in simulator. Application: If follow-up studies would be continued and applied in adapted vehicle for on road environment, many people with more severe disabilities could drive and improve the quality of life.

• Journal of the korean academy of Pediatric Dentistry
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• v.5 no.1
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• pp.47-63
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• 1978

The author studied on the Simplified Oral Hygiene Index in the handicapped children, who are housed by several rehabilitation institution age from 3 to 17 year in Seoul area and 439 normal children as a control group. The obtained results are as follows: 1) In the Oral Hygiene Index(OHI), The handicapped children showed remarkable increment compared to normal children(The Index score was 2.00 in cerebral palsy children, 1.94 in poliomyelitis, 1.79 in other's diseased children, in 1.01 in normal children) and the score was increased as age increment. 2) In the OHI of the handicapped children, male was higher than female. 3) Dental calculus deposition in the handicapped children was severe in the lower anterior teeth and least in the upper anterior teeth. 4) Dental calculus Index of the handicapped children was comparatively higher in the region which had higher food debris index. 5) As the conculusion of this study, we found that continuous and active dental enlightenment and treatment for oral health in the handicapped children are necessary.

• The Journal of the Society of Korean Medicine Diagnostics
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• v.12 no.2
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• pp.96-106
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• 2008

Background and purpose : Health is characterized by variability and a loss variability is associated with aging and disease. Normal healthy respiratory patterns are characterized by breath to breath variability. Cold-Heat score are quantified indices in Korean Medicine. The aim of this study is to analyze relations between 9 respiratory indices (including breath to breath variability) and cold-heat score by questionnaire. Method : Respiratory data were measured during 15 minutes and transferred to text file. We calculated 9 respiratory parameters in use of MATLAB7.1. After then we did correlation analysis of 9 respiratory indices and cold-heat score Results and conclusion : EIratio is showed significant correlation with Cold score and weighted Heat score.