• Journal of Ocean Engineering and Technology
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• v.20 no.4 s.71
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• pp.83-90
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• 2006

Recently, as the technology of utilization for the ocean space is being advanced, floating structures are asked for being mare and mare huge-scale. A very large floating structure(VLFS) is considered as a flexible structure, because of a quite large length-to-breadth ratio and its geometrical flexibility. The main object of this study is to develop an accurate and convenient method on the hydroelastic response analysis of very large offshore structures on the real sea states. The numerical approach for the hydorelastic responses is based on the combination of the three dimensional source distribution methods, the dynamic response analysis method and the spectral analysis method. A model is considered as many rigid bodies connected elastic beam elements. The calculated results shaw good agreement with the experimental and calculated ones by Ohta.

• International Journal of Highway Engineering
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• v.12 no.4
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• pp.1-9
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• 2010

Predictive information on the freeway incident impacts can be a critical criterion in selecting travel options for users and in operating transportation system for operators. Provided properly, users can select time-effective route and operators can effectively run the system efficiently. In this study, a model is proposed to predict freeway incident impacts. The predictive model for incident impacts is based on short-term prediction. The proposed models are examined using MARE. The analysis results suggest that the models are accurate enough to be deployed in a real-world. The development of microscopic models to predict incident effects is expected to help minimize traffic delay and mitigate related social costs.

• Journal of Veterinary Clinics
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• v.38 no.5
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• pp.244-248
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• 2021

A 10-year-old Thoroughbred mare was referred to the Jeju National University Equine Hospital with roaring, dyspnea, and weight loss. On endoscopic examination, the horse was diagnosed with right arytenoid chondritis. Surgical treatment was selected due to the failure of a previous medical treatment. Permanent tracheostomy was performed in a standing position. The horse was restrained and tied in a proper position in the stock. The cranial parts of the 2nd to 5th tracheal cartilages were resected, as were the associated skin, mucosa, muscle, and cartilages. After the stoma was formed, external mucosa and skin were sutured using a simple interrupted method. The horse was hospitalized for 22 days receiving postoperative care including antibiotics, non-steroidal anti-inflammatory drugs, dressing as required, and was pregnant six months after the surgery. A permanent tracheostomy is thought to be effective in horses with diseases causing upper respiratory tract obstruction.

• International Journal of Computer Science & Network Security
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• v.21 no.9
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• pp.179-184
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• 2021

In our study we performed a sentiments analysis from the images. For this purpose, we used 153 images that contain: people, animals, buildings, landscapes, cakes and objects that we divided into two categories: images that suggesting a positive or a negative emotion. In order to classify the images using the two categories, we created two models. The SAI-G model was created with Google's AutoML Vision service. The SAI-C model was created on the Clarifai platform. The data were labeled in a preprocessing stage, and for the SAI-C model we created the concepts POSITIVE (POZITIV) AND NEGATIVE (NEGATIV). In order to evaluate the performances of the two models, we used a series of evaluation metrics such as: Precision, Recall, ROC (Receiver Operating Characteristic) curve, Precision-Recall curve, Confusion Matrix, Accuracy Score and Average precision. Precision and Recall for the SAI-G model is 0.875, at a confidence threshold of 0.5, while for the SAI-C model we obtained much lower scores, respectively Precision = 0.727 and Recall = 0.571 for the same confidence threshold. The results indicate a lower classification performance of the SAI-C model compared to the SAI-G model. The exception is the value of Precision for the POSITIVE concept, which is 1,000.

• Journal of The Korean Astronomical Society
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• v.55 no.3
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• pp.75-86
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• 2022

The lunar surface progressively darkens and reddens as a result of sputtering from solar wind particles and bombardment of micrometeoroids. The extent of exposure to these space weathering agents is frequently calculated as the location in a diagram of reflectance at 750 nm vs. 950 nm/750 nm color (R-C). Sim & Kim (2018) examined the R-C trends of pixels within ~3,500 craters, and revealed that the length (L) and skewness (s) of R-C trends can be employed as a secondary age or maturity indicator. We broaden this research to general lunar surface areas (3,400 tiles of 0.25° × 0.25° size) in 218 mare basalt units, whose ages have been derived from the size-frequency distribution analysis by Hiesinger et al. (2011). We discover that L and s rise with age until ~3.2 Gyr and reduce rather rapidly afterward, while the optical maturity, OMAT, reduces monotonically with time. We show that in some situations, when not only OMAT but also L and s are incorporated in the estimation utilizing 750 & 950 nm photometry, the age estimation becomes considerably more reliable. We also observed that OMAT and the lunar cratering chronology function (cumulative number of craters larger than a certain diameter as a function of time) have a relatively linear relationship.

• The Bulletin of The Korean Astronomical Society
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• v.46 no.2
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• pp.48.2-48.2
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• 2021

The lunar surface progressively darkens and reddens as a result of sputtering from solar wind particles and bombardment of micrometeoroids. The extent of exposure to these space weathering agents is frequently calculated as the location in a diagram of reflectance at 750 nm vs. 950 nm/750 nm color (R-C). Sim & Kim (2018) examined the R-C trends of pixels within ~3,500 craters, and revealed that the length (L) and skewness (s) of R-C trends can be employed as a secondary age or maturity indicator. We broaden this research to general lunar surface areas (3,400 tiles of 0.25° × 0.25° size) in 218 mare basalt units, whose ages have been derived from the size-frequency distribution analysis by Hiesinger et al. (2011). We discover that L and s rise with age until ~3.2 Gyr and reduce rather rapidly afterward, while the optical maturity, OMAT, reduces monotonically with time. We show that in some situations, when not only OMAT but also L and s are incorporated in the estimation utilizing 750 & 950 nm photometry, the age estimation becomes considerably more reliable. We also observed that OMAT and the lunar cratering chronology function (cumulative number of craters larger than a certain diameter as a function of time) have a relatively linear relationship.

• Journal of Veterinary Clinics
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• v.41 no.2
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• pp.123-126
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• 2024

A seven-month pregnant 15-year-old Thoroughbred mare presented with acute abdominal pain to Jeju National University Equine Hospital. At presentation, a nasogastric intubation revealed 10 L of gastric reflux; rectal palpation and ultrasound revealed dilated loops and thickening of the walls of the small intestine. An exploratory laparotomy revealed strangulation of the small intestine due to a large abdominal mass. The mass was double-ligated and resected blindly due to the short pedicle. An enterectomy was not performed as intestinal motility was detected following the mass removal. Histopathological examination confirmed that the mass was a lipoma, measuring 24 cm × 16 cm × 16 cm in size. On day 8 post-surgery, the mare was discharged without complications. This case report describes the diagnosis and treatment of strangulation of the small intestine by a pedunculated lipoma, thus providing useful information on lipoma in horses.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.6
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• pp.181-191
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• 2016

This study examined the effects of exercise intensity and type on insulin resistance, cardiovascular disease risk factors, and exercise time. Obese thirty-two subjects (>body fat 30%) were randomly assigned one of four experimental groups: VO2 max 50% aerobic exercise group (MAE, n=8), VO2 max 80% aerobic exercise group (VAE, n=8), VO2 max 50% + resistance exercise group (MARE, n=8), and VO2 max 80% + resistance exercise group (VARE, n=8). Body fat significantly decreased in all groups and insulin resistance decreased significantly in MARE and VARE (p<.05 & p<.01) after exercise. CRP and IL-6 were slightly reduced after exercise, although these did not reach statistical significance, whereas the IL-6 level of the VAE group decreased significantly (p<.05). TNF-${\alpha}$ significantly decreased in the MAE group (p<.05) but significantly increased in the VARE group after exercise (p<.05). For exercise time, higher intensity exercise groups were significantly less than the lower intensity exercise groups (p<.001). These results suggest that body fat is affected by all kinds of exercise intensity and type while CRP is not. Insulin resistance and TNF-${\alpha}$ were affected by exercise type, whereas IL-6, TNF-${\alpha}$, and exercise time were affected by exercise intensity.

• Journal of Animal Science and Technology
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• v.50 no.6
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• pp.741-746
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• 2008

The objective of this study was to estimate the effects of change in body weight on racing time in Thoroughbred racehorses, using total 8,197 horses and 155,656 racing records collected from Korea Racing Association(KRA). The average body weight of the racehorses was 449kg, and the average body weights of stallion, gelding and mare were 460kg, 454kg and 441kg, respectively. Body weight of stallion was the greatest. The considerable loss of body weight was observed in March, April and May for mare, and in May, Jun and July for stallion and gelding. Overall, the body weight of the racehorses decreased in spring and summer, and increased in autumn and winter. The estimated heritability and repeatability for racing time were 0.237 and 0.525, respectively. The heritability for body weight estimated from total records was 0.612. The estimated heri- tabilities for body weight were 0.472, 0.578 and 0.555 for gelding, stallion and mare, respectively. As the change of body weight was greater than ±10kg, the racing time increased significantly. When the body weight changed more than ±20kg in comparison to the changes of body weight of ±5kg, the racing time increased by 0.3 second. When the change of body weight was ±0.5% of body weight, the racing time was the best(fastest). When the change of body weight was more than ±2.5%, racing performance decreased considerably.

• Journal of The Korean Society of Grassland and Forage Science
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• v.29 no.4
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• pp.355-364
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• 2009

This research was conducted to investigate the group and individual behavioral patterns of thoroughbred mares which are important for raising race-horses, in paddoks (pregnant) and pastures (nursing). In a group of nursing mare, eating 62%, standing resting 31%, drinking 3%, lying resting 1%, walking 1% and nursing 2% were observed, although no running was observed. Average time spent on individual behavior of mares (3 heads) was eating 295 min (55%), standing resting 193 min (36%), walking 18 min, drinking 18 min (3%), nursing 13 min (2%), lying resting 6 min (1%). Average 11 times of grooming, 2 times of urinating, and 1 time of feces were observed for mare in pasture. 48% of standing resting, 44% of eating, 2% of lying resting, 4% of walking, and 2% of drinking were revealed for pregnant mares in paddock. Average individual behavioral pattern of pregnant mares (3 heads) was 52% of eating, 40% of standing, 6% of walking, and 2% of drinking. Average 15 times of grooming, 1 time of urinating, 3 times of feces, 1 time of fighting, and 2 times of rolling were observed for pregnant mares in paddock. For moving patterns, pregnant mares were inclined to concentrate on where the nearby paddok is close to.