• Nutrition Research and Practice
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• v.13 no.3
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• pp.240-246
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• 2019

BACKGROUND/OBJECTIVES: Diabetes is diagnosed after an average of 10-12 years of diabetic development. Strict glycemic control in diabetic patients promotes the normalization of blood glucose and reduces cardiovascular diseases (CVDs) and diabetic complications. Therefore, early diagnosis in non-aware individuals is very important. SUBJECTS/METHODS: Clinical indices and nutrient intakes in Korean diabetic adults aged 19-64 years were examined according to the awareness of diabetes, using 2012 and 2013 Korea National Health and Nutrition Examination Survey (KNHANES) data. The aware group was defined as individuals who were aware of having diabetes from diagnosis by physician before the survey and the non-aware group as individuals who were not aware of having diabetes. RESULTS: The average age was higher in the aware group compared to the non-aware group in both men (P = 0.002) and women (P = 0.004). The prevalences of hypertension and dyslipidemia were not different between the two groups, but the diagnosis rate was significantly lower in the non-aware group. In the non-aware group, total and LDL-cholesterol were significantly higher (P < 0.001), the risk for total cholesterol over 240 mg/dL was 3.4 times (95% CI: 1.58-7.52) higher (P = 0.002) and the risk for LDL-cholesterol over 160 mg/dL was 4.59 times (95% CI: 2.07-10.17) higher (P < 0.001). The calorie intake of the female non-aware group was significantly higher compared to the female aware group (P = 0.033). CONCLUSION: The results suggested that the recommendation of screening test is necessary even for young adults. Studies on the methodology for early diagnosis of diabetes are also needed.

• Journal of the Optical Society of Korea
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• v.18 no.4
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• pp.317-329
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• 2014

In vision measurement systems based on structured light, the key point of detection precision is to determine accurately the central position of the projected laser line in the image. The purpose of this research is to extract laser line centers based on a decision function generated to distinguish the real centers from candidate points with a high recognition rate. First, preprocessing of an image adopting a difference image method is conducted to realize image segmentation of the laser line. Second, the feature points in an integral pixel level are selected as the initiating light line centers by the eigenvalues of the Hessian matrix. Third, according to the light intensity distribution of a laser line obeying a Gaussian distribution in transverse section and a constant distribution in longitudinal section, a normalized model of Hessian matrix eigenvalues for the candidate centers of the laser line is presented to balance reasonably the two eigenvalues that indicate the variation tendencies of the second-order partial derivatives of the Gaussian function and constant function, respectively. The proposed model integrates a Gaussian recognition function and a sinusoidal recognition function. The Gaussian recognition function estimates the characteristic that one eigenvalue approaches zero, and enhances the sensitivity of the decision function to that characteristic, which corresponds to the longitudinal direction of the laser line. The sinusoidal recognition function evaluates the feature that the other eigenvalue is negative with a large absolute value, making the decision function more sensitive to that feature, which is related to the transverse direction of the laser line. In the proposed model the decision function is weighted for higher values to the real centers synthetically, considering the properties in the longitudinal and transverse directions of the laser line. Moreover, this method provides a decision value from 0 to 1 for arbitrary candidate centers, which yields a normalized measure for different laser lines in different images. The normalized results of pixels close to 1 are determined to be the real centers by progressive scanning of the image columns. Finally, the zero point of a second-order Taylor expansion in the eigenvector's direction is employed to refine further the extraction results of the central points at the subpixel level. The experimental results show that the method based on this normalization model accurately extracts the coordinates of laser line centers and obtains a higher recognition rate in two group experiments.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.29 no.2
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• pp.141-147
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• 2007

The purpose of this study was to evaluate the effects of maxillary occlusal plane angle to postoperative skeletal stability by comparative analysis after two-jaw surgery of patients with skeletal CIII malocclusion. This study was made with lateral cephalometric radiography of 52 patients with skeletal class III malocclusion that were performed to Le Fort I osteotomy and BSSRO. And 52 patients were divided to Group A(n=30) and B(n=22). Maxillary posterior impaction was not conducted in Group A, which the pre-operative maxillary occlusal plane angle was in a normal range, and for Group B, which the pre-operative maxillary occlusal plane was low, the maxillary posterior impaction was conducted. The results were obtained as follows : 1. The relapse rate of Group A, which the pre-operative maxillary occlusal plane angle was in a normal range, was relatively stable compared to Group B, which the pre-operative maxillary occlusal plane was low. 2. The relapse rate of each measurement of Group B, which had the maxillary occlusal plane altered during the operation, was somewhat high, and of those, the post-operative relapse rate of overjet, overbite, mandibular plane angle appeared to be significantly high in the statistics. The analyzed results above, was thought to be indicating that the pre-operative maxillary occlusal plane angle was closely related to the post-operative skeletal stability, and that obtaining post-operative skeletal stability only through operative normalization of occlusal plane angle may meet limitations.

• Clinical and Experimental Pediatrics
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• v.52 no.9
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• pp.1021-1028
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• 2009

Purpose:Medical therapy is the initial treatment for children with Graves disease to avoid complications of other treatments. However, optimal treatment for childhood Graves disease is controversial because most patients require relatively long periods of medical therapy and relapse is common after medication discontinuation. Therefore, this study aimed to search clinical or biochemical characteristics that could be used as remission predictors in Graves disease. Methods:We retrospectively studied children diagnosed with Graves disease, treated with anti-thyroid agents, and observed for at least 3 years. Patients were categorized into remission and non-remission groups, and the groups were compared to determine the variables that were predictive of achieving remission. Results:Sixty-four patients were enrolled, of which 37 (57.8%) achieved remission and 27 (42.2%) could not achieve remission until the last visit. Normalization of thyroid-stimulating hormone-binding inhibitory immunoglobulin (TBII) after treatment was faster in the remission group than in the non-remission group (remission group, $15.5{\pm}12.07$ vs. non-remission group, $41.69{\pm}35.70$ months). Thyrotropin-releasing hormone (TRH) stimulation tests were performed in 28 patients. Only 2 (8.3%) of 26 patients who showed normal or hyper-response in TRH stimulation test relapsed. Binary logistic regression analysis identified rapid achievement of TBII normalization after treatment as a significant predictor of remission. Six percent of patients achieved remission within 3 years and 55.8% achieved it within 6 years. Conclusion:Rapid achievement of TBII normalization can be a predictor of remission in childhood Graves disease. The TRH stimulation test can be a predictor of maintenance of remission.

• Journal of the Korean Society of Food Culture
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• v.5 no.2
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• pp.253-257
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• 1990

The effect of water extract in fruits of Omija (Schizandra chinensis Ballion) on liver function in expermental liver injuries induced by $CCl_4$. The levels of GPT, GOT activities in serum were decreased apparently on the dosage of water extract in fruits of Omija correspond to raw Omija 1g compared to control group. The levels of Microsomal protein, glycogen, and pyruvate in liver and of Urea nitrogen, GPT, GOT, LDH in serum showed a trend toward restoration of normalization. No effective of levels of hepatic G6P DH activity and serum free fatty acid by water extract in fruits of Omija.

• Journal of Korean Institute of Industrial Engineers
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• v.23 no.4
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• pp.803-816
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• 1997

In this paper we propose a new approach far part families considering multiple attributes of parts in the design and operating stage of flexible manufacturing systems. We first represent the relationship of parts and the relative attributes using fuzzy membership function, AHP method and normalization. As a result, more realistic nonbinary data of the relationship is obtained. Then we group parts into part families based on the nonbinary data using fuzzy $\alpha$-cut and new similarity coefficient method. The performance of our method is compared numerically with others.

• Journal of Society of Preventive Korean Medicine
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• v.10 no.1
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• pp.13-32
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• 2006

In order to indentify the effect of Astragali Radix(A.R) on cyclophosphamide(C.Y) induced leukopenia, A.R. extracts(EAR) were treated to mice orally, and blood sampling was done by periods. For the in vivo experiments, mice were divided into 4 groups, which treated EAR before, or after C.Y injection, or both, or none. Rapid normalization in the peripheral blood count of WBC, neutrophils, lymphocytes, RBC, and platelets observed in every EAR treated group regardless of the treatment periods of EAR. These studies suggest that, A.R. premedication can be effective in protection of bone marrow suppression during anticancer therapy.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.05a
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• pp.61-62
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• 2006

A new neural network classifier is proposed for the automatic real-time surface inspection of high-speed cold steel strips having 11 different types of defects. 46 geometrical and gray-level features are extracted for the defect classification. 3241 samples of Posco's Kwangyang steel factory are used for training and testing the neural network classifier. The developed classifier produces plausible 15% error rate which is much better than 20-30% error rate of human vision inspection adopted in most of domestic steel factories.

• Journal of the Korea Society of Computer and Information
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• v.13 no.6
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• pp.147-154
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• 2008

First, this paper compute difference value between frames using the composed method of $X^2$ histogram and color histogram and the normalization. Next, cluster representative frame was decided by using the clustering for distance and the k-mean grouping. Finally, representative frame of group was decided by using the likelihood ratio. Proposed method can be known by experiment as outstanding of detection rather than other methods, due to computing of difference value, clustering and grouping, and detecting of representative frame.

• IE interfaces
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• v.11 no.2
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• pp.119-124
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• 1998

This paper proposes a new part family classification system (IPFACS: Image Processing and Fuzzy ART based Clustering System), which incorporates image processing techniques and a modified fuzzy ART neural network algorithm. IPFACS can classify parts based on geometrical shape and manufacturing attributes, simultaneously. With a proper reduction and normalization of an image data through the image processing methods and adding method in the modified Fuzzy ART, different types of geometrical shape data and manufacturing attribute data can be simultaneously classified in the same system. IPFACS has been tested for an example set of hypothetical parts. The results show that IPFACS provides a good feasible approach to form families based on both geometrical shape and manufacturing attributes.