• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.3-9
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• 2008

This paper is related to hair-blending for 2D virtual color hairstyler based on the semi-automatic field morphing. The proposed 2D virtual color hair-styler is characterized as generating virtual hairstyles using the variable morphing mask instead of the fixed one for the semi-automatic morphing, and then hair-blending the generated virtual hairstyles using sigmoid function around the boundary region of the variable morphing mask. The proposed method is able to generate the virtual hairstyles with an easy-to-use interface based on semi-automatic field morphing. According to the proposed method, a user can shorten the working time and even an unskilled user can obtain natural hairstyles as he or she designates a small number of external user inputs.

• Journal of Chest Surgery
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• v.45 no.5
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• pp.330-333
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• 2012

Aortoenteric fistula is a rare but potentially fatal condition causing massive gastrointestinal bleeding. In particular, double primary aortoenteric fistulae are vanishingly rare. We encountered a 75-year-old male patient suffering from abdominal pain, hematochezia, hematemesis, and hypotension. His computed tomography images showed abdominal aortic aneurysm and suspected aortoenteric fistulae. During surgery, we found two primary aortoenteric fistulae. The one fistula was detected between the abdominal aorta and the third portion of the duodenum, and the other fistula was detected between the abdominal aorta and the sigmoid colon. We conducted the closure of the fistulae, the exclusion of the aneurysm, and axillo-bifemoral bypass with a polytetrafluoroethylene graft. The patient was discharged with no complications on the 21st postoperative day.

• Journal of Physiology & Pathology in Korean Medicine
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• v.17 no.4
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• pp.930-938
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• 2003

The purpose of the present study was to investigate the effects of Hyunhosaiksan (HHS) on antithrombotic actions which include blood activation, thrombus removal, warming of circulating blood, and the control of pain on abdomen and lower and upper burning spaces. HHS significantly inhibited platelet aggregation induced by ADP and epinephrine in a HHS dose-dependent manner when analyzed by the Sigmoid Emax model in WinNonlin. EC50 values of HHS were 1.71 ㎍/ml and 0.004 ㎍/ml for ADP and epinephrine respectively. In the vivo study, HHS inhibited pulmonary embolism induced by collagen and epinephrine, which was however statistically insignificant. HHS increased number of platelets, APTT and volume of fibrinogen significantly as compared with the control group in dextran-induced thrombus model. Furthermore, HHS stimulated levels of blood flow in vivo though its effect was not observed in vitro. These results suggest that Hyunhosaiksan (HHS) can be used for treating numerous diseases related with blood aggregation and circulation problems. Further systematic investigations on the synergic effects among drugs used in the oriental medicine as well as in the western medicine in relation to thrombosis therapy would provide an important insight into the potential therapeutic applications.

• Journal of the Korean Society for Precision Engineering
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• v.33 no.9
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• pp.715-721
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• 2016

In this paper, the classification rate of micro-cracks in silicon wafers was improved using a SVM. In case I, we investigated how feature data of micro-cracks and SVM parameters affect a classification rate. As a result, weighting vector and bias did not affect the classification rate, which was improved in case of high cost and sigmoid kernel function. Case II was performed using a more high quality image than that in case I. It was identified that learning data and input data had a large effect on the classification rate. Finally, images from cases I and II and another illumination system were used in case III. In spite of different condition images, good classification rates was achieved. Critical points for micro-crack classification improvement are SVM parameters, kernel function, clustered feature data, and experimental conditions. In the future, excellent results could be obtained through SVM parameter tuning and clustered feature data.

• Archives of Reconstructive Microsurgery
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• v.26 no.1
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• pp.18-22
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• 2017

Inevitable immobilization after surgery on lower extremities can induce chronic constipation. Elderly diabetic women usually express ambiguous gastrointestinal symptoms and signs. We present here a case of panperitonitis developed from severe fecal impaction in an elderly diabetic woman after hand reconstruction using material harvested from the lower extremities. A 68-year-old diabetic female underwent anterolateral thigh free flap and wound revision twice on the left thumb. Three weeks after surgery, she complained about mild abdominal pain though she had daily defecation. Despite encouraging ambulation, her compliance was low. Resection of the sigmoid colon and colostomy were performed after diagnosis with bowel perforation. However, the patient went into septic shock and died with multiorgan failure after the guardians issued a DNR (do not resuscitate) order. For preventing bowel perforation, increased uptake of dietary fiber and early ambulation postoperatively should be encouraged, after even hand surgeries.

• Pediatric Gastroenterology, Hepatology & Nutrition
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• v.22 no.6
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• pp.613-618
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• 2019

Juvenile polyps are the most common types of polyps in children, and patients usually present with lower gastrointestinal (GI) bleeding as the predominant symptom. These lesions, which are referred to as hamartomas, usually measure approximately 2 cm in size and are benign tumors located mainly in the rectum and sigmoid colon. The most common symptom of a juvenile polyp is mild intermittent rectal bleeding. It is rare for anemic patients because the amount of blood loss is small and often not diagnosed immediately. We present the case of a 6-year-old girl with a juvenile polyp in the distal transverse colon, who developed hypovolemic shock due to massive lower GI bleeding. Pediatricians must perform colonoscopy for thorough evaluation of polyps, because their location and size can vary and they can cause massive bleeding.

• Structural Engineering and Mechanics
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• v.13 no.2
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• pp.187-209
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• 2002

The infrastructure system in the United States has been aging faster than the resource available to restore them. Therefore decision for allocating the resources is based in part on the condition of the structural system. This paper proposes to use neural network to predict the overall rating of the structural system because of the successful applications of neural network to other fields which require a "symptom-diagnostic" type relationship. The goal of this paper is to illustrate the potential of using neural network in civil engineering applications and, particularly, in bridge evaluations. Data collected by the Tennessee Department of Transportation were used as "test bed" for the study. Multi-layer feed forward networks were developed using the Levenberg-Marquardt training algorithm. All the neural networks consisted of at least one hidden layer of neurons. Hyperbolic tangent transfer functions were used in the first hidden layer and log-sigmoid transfer functions were used in the subsequent hidden and output layers. The best performing neural network consisted of three hidden layers. This network contained three neurons in the first hidden layer, two neurons in the second hidden layer and one neuron in the third hidden layer. The neural network performed well based on a target error of 10%. The results of this study indicate that the potential for using neural networks for the evaluation of infrastructure systems is very good.

• Advances in nano research
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• v.4 no.2
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• pp.85-111
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• 2016

In this paper, the classical and non-classical boundary conditions effect on free vibration characteristics of functionally graded (FG) size-dependent nanobeams are investigated by presenting a semi analytical differential transform method (DTM) for the first time. Three kinds of mathematical models, namely; power law (P-FGM), sigmoid (S-FGM) and Mori-Tanaka (MT-FGM) distribution are considered to describe the material properties in the thickness direction. The nonlocal Eringen theory takes into account the effect of small size, which enables the present model to become effective in the analysis and design of nanosensors and nanoactuators. Governing equations are derived through Hamilton's principle and they are solved applying semi analytical differential transform method. The good agreement between the results of this article and those available in literature validated the presented approach. The detailed mathematical derivations are presented and numerical investigations are performed while the emphasis is placed on investigating the effect of the several parameters such as small scale effects, spring constant factors, various material compositions and mode number on the normalized natural frequencies of the FG nanobeams in detail. It is explicitly shown that the vibration of FG nanobeams is significantly influenced by these effects. Numerical results are presented to serve as benchmarks for future analyses of FG nanobeams.

• Journal of the Korea Society of Computer and Information
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• v.7 no.1
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• pp.174-183
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• 2002

In this paper a control chart pattern recognition methodology based on the back propagation algorithm and Multi layer perceptron, a neural computing theory, is presented. This pattern recognition algorithm, suitable for real time statistical process control. evaluates observations routinely collected for control charting to determine whether a Pattern, such as a cycle. trend or shift, which is exists in the data. This approach is promising because of its flexible training and high speed computation with low-end workstation. The artificial neural network methodology is developed utilizing the delta learning rule, sigmoid activation function with two hidden layers. In a computer integrated manufacturing environment, the operator need not routinely monitor the control chart but, rather, can be alerted to patterns by a computer signal generated by the proposed system.

• Journal of Climate Change Research
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• v.7 no.4
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• pp.493-498
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• 2016

This study was conducted to investigate the effect of environment factors on full bloom stage and fruit width in four peach cultivars. The average temperature in March was the main factor to determine the date of full bloom in 'Kurakatawase'($-0.6871^*$) and 'Changhowon Hwangdo'($-0.5270^*$). The fruit growth curve after 35 days from full bloom was the double sigmoid shape in 'Changhowon Hwangdo' cultivar. Environmental factors affecting fruit width were mean diurnal range(BIO2) and temperature annual range(BIO 7) in 'Kurakatawase', growing degree days(GDD) after 30 days from full bloom and July precipitation in 'Yumyeong', and annual mean temperature(BIO1), BIO7, and July precipitation in 'Kawanakajima Hakuto'. Of these, major environmental factors affecting fruit width in more than two cultivars were BIO7 and July precipitation.