• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.10
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• pp.2419-2424
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• 2013

In a conventional MOG algorithm, a small threshold for background decision causes the background recognition delay in a periodic background and a large threshold makes it recognize passing objects as background in a stationary background. This paper proposes the improved MOG algorithm using adaptive threshold. The proposed algorithm estimates changes of weight in the dominant model of the MOG algorithm both in the short and long terms, classifies backgrounds into the stationary and periodic ones, and assigns proper thresholds to them. The simulation results show that the proposed algorithm decreases the maximum number of frame in background recognition delay from 137 to 4 in the periodic background keeping the equal performance with the conventional algorithm in the stationary background.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.11
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• pp.2721-2726
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• 2014

In a MOG algorithm using the GMM to subtract background, the model parameter computation and the object classification to be performed at every pixel require a huge computation and are the chief obstacles to its uses. This paper proposes a fast MOG algorithm that partly adopts the simple model parameter computation and the object classification skip on the basis of the object prediction. The former is applied to the pixels that gives little effect on the model parameter and the latter is applied to the pixels whose object prediction is firmly trusted. In comparative experiment between the conventional and proposed algorithms using videos, the proposed algorithm carries out the simple model parameter computation and the object classification skip over 77.75% and 92.97%, respectively, nevertheless it retains more than 99.98% and 99.36% in terms of image and moving object-unit average classification accuracies, respectively.

• Korean Journal of Pharmacognosy
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• v.37 no.2 s.145
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• pp.120-123
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• 2006

Korean folk medicine 'Jeob Gol Mog' has been used to cure nephritis, hypoacidity rheumatis, gastrectasis, and fracture of bone. With regard to the botanical origin of 'Jeob Gol Mog', it has been considered to be Sambucus species of Caprifoliaceae, but there has no pharmacognostical confirmation on it. Morphological and anatomical examination of Sambucus stem show that 'Jeob Gol Mog' was the stem of Sambucus sieboldiana var. miquelii and S. williamsii var. coreana.

• Korean Journal of Pharmacognosy
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• v.40 no.1
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• pp.32-34
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• 2009

Korean folk medicine 'Ma Ga Mog' has been used as a remedy for rheumatis, cough and bronchitis in Korea. The botanical origin of the crude drug has been no pharmacognostical confirmation on it. To clarify the botanical origin of 'Ma Ga Mog', the anatomical characteristics of the bark of Sorbus amurensis Koehne, S. commixta Hedl. and S. sambucifolia (Cham. et Schltdl.) Roemer var. psuedo-gracilis C. K. Schneid. were studied. As a result, it was clarified that 'Ma Ga Mog' from Korea was the bark of Sorbus amurensis Koehne and S. commixta Hedl.

• Clinical and Experimental Pediatrics
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• v.64 no.3
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• pp.103-110
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• 2021

Inflammatory or immune-mediated demyelinating central nervous system (CNS) syndromes include a broad spectrum of clinical phenotype and different overlapping diseases. Antibodies against myelin oligodendrocyte glycoprotein (MOG-Ab) have been found in some cases of these demyelinating diseases, particularly in children. MOG-Ab is associated with a wider clinical phenotype not limited to neuromyelitis optica spectrum disorder, with most patients presenting with optic neuritis, acute disseminated encephalomyelitis (ADEM) or ADEM-like encephalitis with brain demyelinating lesions, and/or myelitis. Using specific cell-based assays, MOG-Ab is becoming a potential biomarker of inflammatory demyelinating disorders of the CNS. A humoral immune reaction against MOG was recently found in monophasic diseases and recurrent/multiphasic clinical progression, particularly in pediatric patients. This review summarizes the data regarding MOG-Ab as an impending biological marker for discriminating between these diverse demyelinating CNS diseases and discusses recent developments, clinical applications, and findings regarding the immunopathogenesis of MOG-Ab-associated disorders.

• Atmosphere
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• v.25 no.1
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• pp.129-140
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• 2015

The statistical analysis of aviation turbulence occurred over South Korea and East Asia regions is performed, using pilot reports (PIREPs) during December 2002~November 2012 that were provided by the Korea Aviation Meteorological Agency (KAMA) and the National Center for Atmospheric Research (NCAR). In South Korea, the light (LGT)- and moderate or greater (MOG)-level turbulence events occurred most frequently in spring and winter due to strong vertical wind shear below or above jet stream in these seasons. Spatially, the LGT- and MOG-level events occurred mainly along domestic flight routes. The higher occurrences of the LGT- and MOG-level convectively induced turbulence (CIT) events show in spring and summer when convective systems frequently affect the Korean peninsula. The results are generally similar to a previous study on the aviation turbulence over South Korea during 2003~2008, except that MOG-level CIT events occurred more in February, June, and October. Over East Asia region, the LGT- and MOG-level events appeared mostly in summer and spring, respectively, and the highest occurrence is over the southeast region of Japan and Kamchatka peninsula near Russia.

• Proceedings of the Korea Information Processing Society Conference
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• 2008.11a
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• pp.1280-1283
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• 2008

The network performance of MOGs(Multiplayer Online Games) can be measured by the amount of network loads and the response times on user inputs. This paper introduces a frame locking algorithm and a game turn algorithm that have been used for game synchronization in the area of RTS(Real-time Strategy Simulation) Games, a kind of MOG; the results of performance evaluation of these two algorithms are also given. In addition, a server architecture for MOG servers in which replacing synchronization algorithms can be done easily for pursuing efficient performance evaluation, is also introduced.

• Journal of Korean Medicine for Obesity Research
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• v.20 no.1
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• pp.20-30
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• 2020

Objectives: The purpose of this study is to verify the effects of H Gambitang (GB-001) on body composition and basal metabolic rate in pre- and post-menopausal obese woman retrospectively. Methods: The study was conducted on 57 middle-aged obese women. They were divided into two groups; pre-menopausal obesity group (Pr-MOG; n=34) and post-menopausal obesity group (Po-MOG; amenorrhea was continued to 14~48 month, n=23) with no significant difference of age, height, body weight and body mass index. All subjects took herbal medicine 3 times a day, for 6 weeks during treatment period. The weight, height, body fat mass, skeletal muscle mass, and basal metabolic rate of all subjects were measured on first visit. The following measurements were repeated after 2 weeks (2nd), 4 weeks (3rd) and 6 weeks (4th) with Inbody 370 (Biospace) equipment to identify changes of body fat mass, skeletal muscle mass, and basal metabolic rate. Results are represented as mean and standard deviation. Results: Po-MOG showed significantly lower decrease rate in weight reduction on 2~6 weeks while significantly higher decrease rate in skeletal muscle reduction on 4~6 weeks. There were no significant differences between two groups in body fat reduction rate and basal metabolic increasing rate. Conclusions: H Gambitang (GB-001) can be used not only in Pr-MOG but in Po-MOG in weight loss although the effect can be lower in Po-MOG. To prevent skeletal muscle mass loss in Po-MOG, following study on adjusting dose and components of H Gambitang (GB-001) thought to be necessary.

• Journal of IKEEE
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• v.23 no.4
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• pp.1415-1422
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• 2019

Background subtraction is the major task of computer vision and image processing to detect changes in video. The best performing background subtraction is computationally expensive that cannot be used in real time in a typical computing environment. The proposed algorithm improves the background subtraction algorithm of the widely used MOG with the image resizing algorithm. The proposed image resizing algorithm is designed to drastically reduce the amount of computation and to utilize local information, which is robust against noise such as camera movement. Experimental results of the proposed algorithm have a classification capability that is close to the state of the art background subtraction method and the processing speed is more than 10 times faster.

• Journal of the Korean Dietetic Association
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• v.14 no.3
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• pp.209-217
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• 2008

The purpose of this study was to understand the effects a mother's degree of obesity has on her daughter's obesity index, psychological well-being index, and nutrient intakes. The daughters, as study subjects, were classified into two groups according to their mother's body mass index (BMI): an obese group [BMI>25 kg/m$^2$, mother obesity group (MOG)] and a normal weight group [BMI<25 kg/m$^2$, mother normal weight group (MNG)]. The daughters in MOG showed significantly higher percent ideal body weight values than the daughters in MNG (p<0.001). MOG and MNG had significantly different psychological well-being index scores in terms of being classified into a highly stressed group (p<0.001), potentially stressed group (p<0.05), and healthy group (p<0.001). Intakes of daily energy, protein, fat, thiamin, riboflavin, niacin, phosphorus, and iron were also significantly different (p<0.001) between MOG and MNG. In particular, the vitamin A and C intakes of the MNG daughters were significantly higher than those of the MOG daughters (p<0.001). Overall, the results showed that a mother's level of obesity was essentially related to her daughter's obesity index, psychological well-being index score, and nutrient intakes. Therefore, it seems necessary for mothers to maintain an ideal body weight to prevent obesity and diet related problems in their daughters.