• Korean Journal of Agricultural and Forest Meteorology
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• v.18 no.1
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• pp.42-54
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• 2016

It is highly anticipated that warming temperature resulting from global climate change will affect the phenological pattern of kiwifruit, which has been commercially grown in Korea since the early 1980s. Here, we present the potential impacts of climate change on the variations of flowering day of a gold kiwifruit cultivar, Haegeum, in the Jeonnam Province, Korea. By running six global climate models (GCM), the results from this study emphasize the uncertainty in climate change scenarios. To predict the flowering day of kiwifruit, we obtained three parameters of the 'Chill-day' model for the simulation of Haegeum: $6.3^{\circ}C$ for the base temperature (Tb), 102.5 for chill requirement (Rc), and 575 for heat requirement (Rh). Two separate validations of the resulting 'Chill-day' model were conducted. First, direct comparisons were made between the observed flowering days collected from 25 kiwifruit orchards for two years (2014-15) and the simulated flowering days from the 'Chill-day' model using weather data from four weather stations near the 25 orchards. The estimation error between the observed and simulated flowering days was 5.2 days. Second, the model was simulated using temperature data extracted, for the 25 orchards, from a high-resolution digital temperature map, resulting in the error of 3.4 days. Using the RCP 4.5 and 8.5 climate change scenarios from six GCMs for the period of 2021-40, the future flowering days were simulated with the 'Chill-day' model. The predicted flowering days of Haegeum in Jeonnam were advanced more than 10 days compared to the present ones from multi-model ensemble, while some individual models resulted in quite different magnitudes of impacts, indicating the multi-model ensemble accounts for uncertainty better than individual climate models. In addition, the current flowering period of Haegeum in Jeonnam Province was predicted to expand northward, reaching over Jeonbuk and Chungnam Provinces. This preliminary result will provide a basis for the local impact assessment of climate change as more phenology models are developed for other fruit trees.

• Journal of the Institute of Convergence Signal Processing
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• v.9 no.1
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• pp.31-38
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• 2008

Ad-Hoc network is a network architecture which has no backbone network and is deployed temporarily and rapidly in emergency or war without fixed mobile infrastructures. All communications between network entities are carried in ad-hoc networks over the wireless medium. Due to the radio communications being extremely vulnerable to propagation impairments, connectivity between network nodes is not guaranteed. Therefore, many new algorithms have been studied recently. This study proposes the secondary header approach to the cluster based routing protocol (CBRP). The primary header becomes abnormal status so that the primary header can not participate in the communications between network entities, the secondary header immediately replaces the primary header without selecting process of the new primary header. This improves the routing interruption problem that occurs when a header is moving out from a cluster or in the abnormal status. The performances of proposed algorithm ACBRP(Advanced Cluster Based Routing Protocol) are compared with CBRP. The cost of the primary header reelection of ACBRP is simulated. And results are presented in order to show the effectiveness of the algorithm.

• Restorative Dentistry and Endodontics
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• v.30 no.2
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• pp.79-85
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• 2005

The purpose of this study was to evaluate the obturation efficiency of a non-standardized gutta-percha cone in curved root canals prepared with 0.06 taper nickel-titanium instruments. Sixty simulated curved root canals in clear resin blocks were prepared with crown-down technique using 0.06 taper rotary $ProTaper^{TM}$and ProFile (Dentsply-Maillefer) until apical canal was size 30. Root canals were randomly divided into 4 groups of 15 blocks and obturated with cold-laterally compacted gutta-percha technique by using either a non-standardized size medium gutta-percha cone or an ISO-standardized size 30 one as a master cone. Gutta-percha area ratio were calculated at apical levels of 1, 3 and 5 mm using AutoCAD 2000 after cross-sectioning, and the data were analyzed with one-way and two-way ANOVAs and Duncan's multiple range test. Non-standardized size medium cone groups showed significantly higher gutta-percha area ratio than standardized cone groups at all apical levels (p < 0.01). Non-standardized cone groups used significantly less accessory cones than standardized cone groups (p < 0.01).

• Journal of the Korean Society of Food Science and Nutrition
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• v.40 no.3
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• pp.426-434
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• 2011

In order to increase the use of rice, ginseng Garaedduks and Topokki were made and the physicochemical and sensory properties were investigated. Topokki and Garaedduks were added with 0, 1, 3 and 5% ginseng powder and stored at $20^{\circ}C$ for 48 hours. The moisture contents were not different to the increasing amount of ginseng powder and increasing storage time for 48 hours. The moisture content of Garaedduks for control and 5% added ginseng powder were 48.08% and 49.62%, respectively. The L value in color of uncooked ginseng Garaedduk decreased according to the added amount of ginseng powder, and the b value in color increased significantly according to the added amount of ginseng powder and during 48 hours storage at $20^{\circ}C$. Textural analysis, measured using a texture analyzer, of Garaedduk revealed that hardness, cohesiveness, chewiness decreased significantly and adhesiveness increased according to the added amount of ginseng powder. In sensory evaluation, 5% ginseng Garaedduk (uncooked, cooked) scored higher in overall acceptability than those of the other samples. In cooking properties, water absorption and solid contents increased according to the added amount of ginseng powder. Therefore, Garaedduk containing 5% ginseng powder was the most preferable. These results implied that the degree of retrogradation of ginseng Garaedduk might be low due to its high dietary fiber content.

• Korean journal of communication and information
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• v.44
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• pp.76-107
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• 2008

The present study has explored the effects of media use on the evaluation of the presidential candidate's morality. We hypothesized that the perception of the candidates' morality during the 2007 Korean President Election would be influenced by the amount of the different types of media use. Using a set of panel data, a total of 1,199 citizens (584 females (48.7%), 615 males (51.3%), Mage=42.77, SDage=13.34) were assessed four times from August to December in 2007. The results indicated that (a) the level of TV use for political information, the level of newspaper use for political information, and the level of Internet use for political information increased during the five months; (b) the initial level of political involvement contributed differently to the initial levels of media use; (c) the initial level of political involvement negative influenced the initial level of TV use for political information; (d) the growth of political involvement positively influenced the growth of TV use for political information; (e) the intial level of TV use for political information increased both the initial levels of the perception of candidates' morality and the change of the perception of candidates' morality; (f) the change of TV use for political information negatively affected the perception of candidates' morality; and (g) the initial level of Internet use for political information negatively affected the initial level of the perception of candidates' morality, and the change of Internet use for political information negatively affected the perception of candidates' morality.

• Korean journal of food and cookery science
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• v.27 no.5
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• pp.557-565
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• 2011

The objectives of this study were to investigate the physicochemical characteristics of soybean leaves in different cultivars and to develop a soybean curd prepared with soybean leave powder as a functional food. Four cultivars (Daewonkong leaf, Daepungkong leaf, Hwangguemkong leaf, and Seoritae leaf) were selected for this experiment. A significant difference was observed in the proximate composition of soybeans leaves (p<0.05). Soybean leaves had the highest content of carbohydrates. The mineral composition and isoflavone content in soybean leaves were significantly different among the cultivars (p<0.05). In particular, Daepongkong leaf had the highest content of genistein, daidzein, and total isoflavones. This study was also conducted to determine the quality characteristics of a soybean curd developed from daepongkong leaf with various concentrations (0, 0.1, 0.2, and 0.3%) of soybean leaf powder (SLP). The soybean curd yield rate increased according to the level of SLP added, whereas the L and a color values decreased. In the sensory evaluation, intensity scores for color, after taste, leafy taste, and chewiness were highest for the 0.3% soybean curd. The soybean curd with 0.2% SLP soybean milk attained the highest overall acceptability score. These results showed that soybean leaf was preferred over soybean curd containing 0.2% soybean leaf powder.

• Journal of the Korean Society of Food Science and Nutrition
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• v.38 no.11
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• pp.1543-1550
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• 2009

The aim of this study was to examine and compare the eating habits, dietary intake patterns and nutrient intake status of children with and without atopic dermatitis by questionnaire during July, 2008. A total 388 subjects of 5th and 6th grade elementary school children (AG: atopic group, n=65, NG: non-atopic group, n=323) in Seoul and Ulsan areas participated in this study. The questionnaire included general characteristics, dietary habits, and atopy-related food frequency. One-day 24 hour recall was collected to estimate nutrient intakes of the subjects. The data were analyzed by Chi-square test for food frequency analysis and by t-test for nutrient intakes. Atopy-related foods included milk, buckwheat, beef, pork, chicken, crab, egg, mackerel, peach, and tomato. From the findings, AG had a more irregular eating habit than NG (p<0.05). In case of food frequency, AG tended to consume more atopy-related foods than NG (p>0.05). The nutrient intakes of AG were significantly lower than those of NG (p<0.05), but only intake of animal iron in AG was higher than NG (p<0.05). NG consumed more protein than AG (p<0.05). Although milk was a noted hypersensitive allergic food, frequency and the amount of milk intake were not significantly different between two groups. In conclusion, atopic children had eaten more atopy-related foods and less nutrient intakes. Therefore, it is necessary to educate on good nutrition and guide atopic children and their parents.

• Tuberculosis and Respiratory Diseases
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• v.45 no.4
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• pp.697-704
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• 1998

Background: Asthma is a chronic inflammatory disease of the airways characterized by a marked infiltration of eosinophils in the bronchial mucosa. Asthmatic bronchial mucosa produces many factors described as being chemotactic for inflammatory cells. IL-5, RANTES, and MCP-1 alpha are the chemotactic factors for eosinophils, but their roles are controversial. Recently eotaxin that is a potent eosinophil chemoattractant cytokine was detected in a guinea-pig model of allergic airway inflammation, and human eotaxin was cloned. Eotaxin is a specific chemoattractant for eosinophils, but its role in asthma is not confirmed. We examined the in vivo expression of eotaxin in bronchi of asthmatic patients. Methods : 11 asthmatics and 2 normal controls were enrolled. All subjects were underwent bronchoscopy with bronchial biopsies in 2nd or 3rd carina. RNA extraction from biopsy samples was done by acid-guanidium method. Semi-quantitaive RT-PCR was done for evaluation of eotaxin mRNA expression The extent of eosinophil infiltration was evaluated by counting the eosinophils in submucosa in HPF of microscope. Results : Eotaxin mRNA expressed in symptomatic, uncontrolled asthma. Steroid inhibited expression of eotaxin mRNA in asthma. Expression of eotaxin mRNA correlated with eosinophil infiltration in bronchial tissues. Conclusion: Expression of eotaxin mRNA increases in uncontrolled asthma and eotaxin is involved in the recruitment of eosinophils.

• Journal of the Korean Society of Food Science and Nutrition
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• v.29 no.1
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• pp.174-179
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• 2000

The nitrogenous compounds in the muscle extracts of cultured and wild olive flounder, Paralichthys olivaceous, were analyzed. The analyzed coumpounds were extractive nitrogen, free amino acids, oligopeptides, ATP and its related ompounds, quaternary ammonium bases, and guanidino compounds. The distribution pattern of these compounds in cultured and wild fish was found to be very similar. Although the ATP and its related compounds and creatine in the muscle of cultured fish were slightly abundant than those in the muscle of wild one, the extractive nitrogen, total free amino acid, oligopeptides, and TMAO were found to be slightly rich in the muscle of wild fish than those in the muscle of cultrued one. The moisture content of cultured fish was relatively lower but the protein and fat contents of cultured one were higher than those of wild fish. However the differences in the proximate composition, extractive nitrogen and nitrogenous compounds between two fishes were not significantly different.

• Journal of Intelligence and Information Systems
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• v.16 no.4
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• pp.67-84
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• 2010

In terms of business, forecasting is a work of what is expected to happen in the future to make managerial decisions and plans. Therefore, the accurate forecasting is very important for major managerial decision making and is the basis for making various strategies of business. But it is very difficult to make an unbiased and consistent estimate because of uncertainty and complexity in the future business environment. That is why we should use scientific forecasting model to support business decision making, and make an effort to minimize the model's forecasting error which is difference between observation and estimator. Nevertheless, minimizing the error is not an easy task. Case-based reasoning is a problem solving method that utilizes the past similar case to solve the current problem. To build the successful case-based reasoning models, retrieving the case not only the most similar case but also the most relevant case is very important. To retrieve the similar and relevant case from past cases, the measurement of similarities between cases is an important key factor. Especially, if the cases contain symbolic data, it is more difficult to measure the distances. The purpose of this study is to improve the forecasting accuracy of case-based reasoning approach using fuzzy relation and composition. Especially, two methods are adopted to measure the similarity between cases containing symbolic data. One is to deduct the similarity matrix following binary logic(the judgment of sameness between two symbolic data), the other is to deduct the similarity matrix following fuzzy relation and composition. This study is conducted in the following order; data gathering and preprocessing, model building and analysis, validation analysis, conclusion. First, in the progress of data gathering and preprocessing we collect data set including categorical dependent variables. Also, the data set gathered is cross-section data and independent variables of the data set include several qualitative variables expressed symbolic data. The research data consists of many financial ratios and the corresponding bond ratings of Korean companies. The ratings we employ in this study cover all bonds rated by one of the bond rating agencies in Korea. Our total sample includes 1,816 companies whose commercial papers have been rated in the period 1997~2000. Credit grades are defined as outputs and classified into 5 rating categories(A1, A2, A3, B, C) according to credit levels. Second, in the progress of model building and analysis we deduct the similarity matrix following binary logic and fuzzy composition to measure the similarity between cases containing symbolic data. In this process, the used types of fuzzy composition are max-min, max-product, max-average. And then, the analysis is carried out by case-based reasoning approach with the deducted similarity matrix. Third, in the progress of validation analysis we verify the validation of model through McNemar test based on hit ratio. Finally, we draw a conclusion from the study. As a result, the similarity measuring method using fuzzy relation and composition shows good forecasting performance compared to the similarity measuring method using binary logic for similarity measurement between two symbolic data. But the results of the analysis are not statistically significant in forecasting performance among the types of fuzzy composition. The contributions of this study are as follows. We propose another methodology that fuzzy relation and fuzzy composition could be applied for the similarity measurement between two symbolic data. That is the most important factor to build case-based reasoning model.