Upon development of information super-highway and multimedia-related technoiogies in recent years, more efficient technologies to transmit, store and retrieve the multimedia data are required. Among such technologies, firstly, it is common that the semantic-based image retrieval is annotated separately in order to give certain meanings to the image data and the low-level property information that include information about color, texture, and shape Despite the fact that the semantic-based information retrieval has been made by utilizing such vocabulary dictionary as the key words that given, however it brings about a problem that has not yet freed from the limit of the existing keyword-based text information retrieval. The second problem is that it reveals a decreased retrieval performance in the content-based image retrieval system, and is difficult to separate the object from the image that has complex background, and also is difficult to extract an area due to excessive division of those regions. Further, it is difficult to separate the objects from the image that possesses multiple objects in complex scene. To solve the problems, in this paper, I established a content-based retrieval system that can be processed in 5 different steps. The most critical process of those 5 steps is that among RGB images, the one that has the largest and the smallest background are to be extracted. Particularly. I propose the method that extracts the subject as well as the background by using an Image, which has the largest background. Also, to solve the second problem, I propose the method in which multiple objects are separated using RGB channel selection techniques having optimized the excessive division of area by utilizing Watermerge's threshold value with the object separation using the method of RGB channels separation. The tests proved that the methods proposed by me were superior to the existing methods in terms of retrieval performances insomuch as to replace those methods that developed for the purpose of retrieving those complex objects that used to be difficult to retrieve up until now.
Kim, Hye-Young;Park, Yoo-Kyoung;Kim, Tae-Seok;Kang, Myung-Hee
Journal of the Korean Society of Food Science and Nutrition
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v.35
no.3
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pp.344-352
/
2006
The purpose of this study was to evaluate whether a daily regimen of green vegetable drink supplementation to male subjects improves the blood pressure and enhances other antioxidant enzyme status, lipid profiles and liver functionalities. Twenty nonsmokers and 19 smokers aged $23{\sim}60$ were given 240 mL of green vegetable drink every day for 8 weeks in addition to their normal diet, and blood samples were drawn before and after the intervention. The 8 weeks of green vegetable drink consumption resulted in a significant decrease of diastolic blood pressure in smokers (p<0.05) as well as in nonsmokers (p<0.01), and systolic blood pressure in smokers (p<0.05). Erythrocyte superoxide dismutase (SOD) activity was significantly increased in both nonsmokers and smokers after the trials. Plasma total cholesterol (TC) level was decreased in smokers and plasma TC and LDL-cholesterol (LDL-C) levels were decreased in nonsmokers while triglyceride (TG) and HDL-cholesterol (HDL-C) was not affected in both nonsmokers and smokers by green vegetable drink consumption. Plasma glutamic pyruvic transaminase (GPT), a marker of liver function was significantly reduced in both nonsmokers and smokers and plasma glutamic oxaloacetic transaminase (GOT) level was significantly reduced in nonsmokers after the supplementation. These results support the hypothesis that green vegetable drink exerts a blood pressure reducing effect and affects not only the activity of antioxidant enzymes, lipid profiles but also plasma GOT and/or GPT levels.
Kim, Hey-Suk;Shin, Mi-Soo;Jang, Dong-Soon;Lee, Dae-Geun
Journal of Korean Society of Environmental Engineers
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v.29
no.6
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pp.647-653
/
2007
The ultimate objective of this study is to develop a reliable oxygen-enriched combustion techniques especially for the case of the flue gas recycling in order to reduce the $CO_2$ emissions from practical industrial boilers. To this end a systematic numerical investigation has been performed, as a first step, for the resolution of the combusting flame characteristics of lab-scale LNG combustor. One of the important parameters considered in this study is the level of flue gas recycling calculated in oxygen enriched environment. As a summary of flame characteristics, for the condition of 100% pure $O_2$ as oxidizer without any flue gas recycling, the flame appears as long and thin laminar-like shape with relatively high flame temperature. The feature of high peak of flame temperature is explained by the absence of dilution and heat loss effects due to the presence of $N_2$ inert gas. The same reasoning is also applicable to the laminarized thin flame one, which is attributed to the decrease of the turbulent mixing. These results are physically acceptable and consistent and further generally in good agreement with experimental results appeared in open literature. As the level of $CO_2$ recycling increases in the mixture of $O_2/CO_2$, the peak flame temperature moves near the burner region due to the enhanced turbulent mixing by the increased amount of flow rate of oxidizer stream. However, as might be expected, the flue gas temperature decreases due to presence of $CO_2$ gas together with the inherent feature of large specific heat of this gas. If the recycling ratio more than 80%, gas temperatures drop so significantly that a steady combustion flame can no longer sustain within the furnace. However, combustion in the condition of 30% $O_2/70% $$CO_2$ can produce similar gas temperature profiles to those of conventional combustion in air oxidizer. An indepth analyses have been made for the change of flame characteristics in the aspect of turbulent intensity and heat balance.
When cells are exposed to low doses of a mutagenic or clastogenic agents. they often become less sensitive to the effects of a higher dose administered subsequently. Such adaptive responses were first described in Escherichia coli and mammalian cells to low doses of an alkylating agent. Since most of the studies have been carried out with human lymphocytes, it is urgently necessary to study this effect in different cellular systems. Its relation with inherent cellular radiosensitivity and underlying mechanism also remain to be answered. In this study, adaptive response by 1 cGy of gamma rays was investigated in three human lymphoblastoid cell lines which were derived from ataxia telangiectasia homozygote, ataxia telangiectasia heterozygote, and normal individual. Experiments were carried out by delivering 1 cGy followed by 50 cGy of gamma radiation and chromatid breaks were scored as an endpoint. The results indicate that prior exposure to 1 cGy of gamma rays reduces the number of chromatid breaks induced by subsequent higher dose (50 cGy), The expression of this adaptive response was similar among three cell lines despite of their different radiosensitivity. When 3-aminobenzamide, an inhibitor of poly (ADP-ribose) polymerase, was added after 50 cGy, adaptive responses were abolished in all the tested cell lines. Therefore it is suggested that the adaptive response can be observed in human lymphoblastoid cell lines, which was first documented through this study. The expression of adaptive response was similar among the cell lines regardless of their radiosensitivity. The elimination of the adaptive response by 3-aminobenzamide is consistent with the proposal that this adaptive response is the result of the induction of a certain chromosomal repair mechanism.
Jun, Ha Joon;Jeon, Eui Hwan;Kang, Soo In;Bae, Geun Hye
Horticultural Science & Technology
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v.32
no.6
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pp.812-818
/
2014
Raising seedlings is important for fruit crops and is especially significant for strawberries as it accounts for 80% of their cultivation. However, there are few studies on raising seedlings of strawberries by hydroponics. Since strawberries show clear differences in growth characteristics based on cultivar, it is necessary to develop suitable fertilizer formula, concentration and pH for each cultivar, and also to examine the amount of nutrient feeding appropriate for each medium type. A key to raising seedlings of strawberries by hydroponics is the development of strategies to manage the concentration of nutrient solution. The mother plants of 'Daewang' strawberries were planted on hydroponics benches filled with cocopeat on March 28, 2012. Three nutrient solution treatments were employed during the term of raising seedlings: a type that supplied EC $0.6dS{\cdot}m^{-1}$ nutrient solution for 30 days and only water for 20 days [0.6 (30) + 20]; a type that supplied EC $1.2dS{\cdot}m^{-1}$ nutrient solution for 30 days and only water for 20 days [1.2 (30) + 20]; and a type that supplied EC $1.2dS{\cdot}m^{-1}$ nutrient solution for 50 days [1.2 (50)]. The plants were then planted on hydroponics benches filled with cocopeat on September 20, and managed with EC $0.6-0.8dS{\cdot}m^{-1}$ strawberry nutrient solution developed by Yamazaki. After planting, shoot growth, flowering rate and fruit quality of the first cluster were investigated. The petiole length, leaf length, leaf width and crown diameter showed the highest grown in the [1.2 (50)] treatment, followed by [1.2 (30) + 20], and then [0.6 (30) + 20], indicating that the higher concentration of nutrient solution was preferable for raising seedlings. However, the growth differences among treatments gradually disappeared as growth continued, and the crown diameter especially grew to exhibit almost no difference at all among treatments. The point of flowering came first in [0.6 (30) + 20], followed by [1.2 (30) + 20] and then [1.2 (50)]. The [0.6 (30) + 20] treatment showed much earlier flowering than other treatments, which implies that low-concentration nutrient solution may be beneficial to the flowering of 'Daewang' strawberries while raising seedlings. There was no statistically significant difference among treatments in fruit length, fruit diameter and fruit firmness. Fruit weight in [1.2 (50)] treatment was significantly higher than other treatments. However, soluble solids of fruit was the lowest in [1.2 (50)] treatment. Together, the results of this experiment imply that it is better to supply EC $0.6dS{\cdot}m^{-1}$ solution for 30 days and then supply only water for 20 days to adequately manage concentration of nutrient solutions during the period of raising seedlings of strawberries by hydroponics.
In this study, we investigated the preventive effects of the mulberry leaf tea fermented by Monascus pilosus on high fat-induced obesity, hyperlipidemia, and fatty liver in mice. Non-fermented mulberry leaf tea powder (UM) and fermented mulberry leaf tea powder (FM) were supplemented with high-fat diet at 2% (wt/wt) dosage for 8 weeks. Both UM and FM lowered body weight gain, feed efficiency ratio, epididymal fat, serum triglyceride, total cholesterol and LDL-cholesterol increased markedly with high fat diet (HC) in mice. FM showed more significant effects when it was compared with UM. In addition, Hepatic lipid peroxides and xanthin oxidase activities of the UM and FM were significantly lower than those of HC, despite the lack of a big difference in the amount of hepatic GSH. Activities of ROS scavenging enzymes and serum alanine aminotransferase activity were also examined as a parameter of hepatic damage. The UM and FM groups showed a recovery to NC group from significant changes induced by HC. Finally, histopathological analyses of liver samples revealed a decrease of lipid accumulation in hepatocytes in the UM and FM groups. These results suggest that UM and especially FM can reduce the development of obesity, hyperlipidemia and fatty liver.
This study investigated the oxidative stability of oils when dough was fried under a lower pressure than the ambient atmosphere. The pressure during the frying process was controlled at measures of 760, 560, 360 or 160 mmHg. The oil containing the dough was heated at $180^{\circ}C$ for 48 hours. Rancidity values, including acid value, peroxide value, fatty acid analysis, color changes, and browning of oil samples, were measured every 8 hours. As the frying process continued at all 4 pressure levels, the acid values (AV) increased. However, compared to the other pressure levels, the increase in AV was the least at 160 mmHg. In addition, the peroxide value at 160 mmHg was only 0.81 meq/kg compared to 1.52 meq/kg at 760 mmHg. For all pressure levels, stearic acid, oleic acid, ${\omega}$-6 linolenic acid were increased, while linoleic acid and ${\omega}$-3 linolenic acid were decreased. In terms of color, a-values representing redness were decreased, whereas b-values were increased as the frying proceeded. These results revealed that the oxidation of frying oil was decreased under reduced pressure condition. Thus, the usage of frying oil may be extended, owing to less oxidative concerns. This leads to a lower cost to the manufacturer, and furthermore, helps the environment by reducing industrial wastes.
The purpose of this study was to examine the usefulness of SPIO contrast agent in Magnetic Resonance Cholangiopancreatography (MRCP) by performing a quantitative comparative analysis in patients undergoing MRCP for gallbladder stones with and without oral injection of SPIO (Superparamagnetic iron oxide) contrast agent. The subjects were 36 patients undergoing MRCP for suspected gallbladder stones between January 2009 and February 2010 and they were divided into halves to compare the two groups of with and without SPIO agent. For each subject in both the injected and non-injected group, T2-weighted images on a 1.5T MR scanner were obtained, using both the breath-holding and respiratory-triggered methods, respectively. The following regions were measured; for breath-hold T2-weighted images, the measurement regions were located at the central part of the gallbladder, and the areas 15 mm away from its center, toward the front and back, respectively, which were chosen to include surrounding tissues, while for respiratory-triggered T2-weighted images, at the central part of the gallbladder, and segment 5 and 6 of liver. In a quantitative analysis, average signal to noise ratio (SNR) in each of regions of interest (ROI) for each group were calculated and then average contrast to noise ratio (CNR) in each of ROI were obtained by using the SNR in the gallbladder as the basis to compare and analyze the values between the two groups. The CNR were higher for the injected group in those regions.
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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v.38
no.4
/
pp.363-373
/
2020
During last decades numerous studies generating orthoimage have been carried out. Traditional methods require exterior orientation parameters of aerial images and precise 3D object modeling data and DTM (Digital Terrain Model) to detect and recover occlusion areas. Furthermore, it is challenging task to automate the complicated process. In this paper, we proposed a new concept of true orthoimage generation using DL (Deep Learning). DL is rapidly used in wide range of fields. In particular, GAN (Generative Adversarial Network) is one of the DL models for various tasks in imaging processing and computer vision. The generator tries to produce results similar to the real images, while discriminator judges fake and real images until the results are satisfied. Such mutually adversarial mechanism improves quality of the results. Experiments were performed using GAN-based Pix2Pix model by utilizing IR (Infrared) orthoimages, intensity from LiDAR data provided by the German Society for Photogrammetry, Remote Sensing and Geoinformation (DGPF) through the ISPRS (International Society for Photogrammetry and Remote Sensing). Two approaches were implemented: (1) One-step training with intensity data and high resolution orthoimages, (2) Recursive training with intensity data and color-coded low resolution intensity images for progressive enhancement of the results. Two methods provided similar quality based on FID (Fréchet Inception Distance) measures. However, if quality of the input data is close to the target image, better results could be obtained by increasing epoch. This paper is an early experimental study for feasibility of DL-based true orthoimage generation and further improvement would be necessary.
Cho, Wonhee;Lim, Wontaek;Kim, Eun-Sook;Lim, Jong-Hwan;Ko, Dongwook W.
Korean Journal of Agricultural and Forest Meteorology
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v.22
no.3
/
pp.215-231
/
2020
Forest landscape models (FLMs) can be used to investigate the complex interactions of various ecological processes and patterns, which makes them useful tools to evaluate how environmental and anthropogenic variables can influence forest ecosystems. However, due to the large spatio-temporal scales in FLMs studies, parameterization and validation can be extremely challenging when applying to new study areas. To address this issue, we focused on the parameterization and application of a spatially explicit forest landscape model, LANDIS-II, to Mt. Gyebang, South Korea, with the use of the National Forest Inventory (NFI) and long-term ecological research (LTER) site data. In this study, we present the followings for the biomass succession extension of LANDIS-II: 1) species-specific and spatial parameters estimation for the biomass succession extension of LANDIS-II, 2) calibration, and 3) application and validation for Mt. Gyebang. For the biomass succession extension, we selected 14 tree species, and parameterized ecoregion map, initial community map, species growth characteristics. We produced ecoregion map using elevation, aspect, and topographic wetness index based on digital elevation model. Initial community map was produced based on NFI and sub-alpine survey data. Tree species growth parameters, such as aboveground net primary production and maximum aboveground biomass, were estimated from PnET-II model based on species physiological factors and environmental variables. Literature data were used to estimate species physiological factors, such as FolN, SLWmax, HalfSat, growing temperature, and shade tolerance. For calibration and validation purposes, we compared species-specific aboveground biomass of model outputs and NFI and sub-alpine survey data and calculated coefficient of determination (R2) and root mean square error (RMSE). The final model performed very well, with 0. 98 R2 and 8. 9 RMSE. This study can serve as a foundation for the use of FLMs to other applications such as comparing alternative forest management scenarios and natural disturbance effects.
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