Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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2001.06a
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pp.1131-1131
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2001
To develop a nondestructive quality evaluation technique of fruits, a K-mean algorism is applied to near infrared (NIR) spectroscopy of apples. The K-mean algorism is one of neural network partition methods and the goal is to partition the set of objects O into K disjoint clusters, where K is assumed to be known a priori. The algorism introduced by Macqueen draws an initial partition of the objects at random. It then computes the cluster centroids, assigns objects to the closest of them and iterates until a local minimum is obtained. The advantage of using neural network is that the spectra at the wavelengths having absorptions against chemical bonds including C-H and O-H types can be selected directly as input data. In conventional multiple regression approaches, the first wavelength is selected manually around the absorbance wavelengths as showing a high correlation coefficient between the NIR $2^{nd}$ derivative spectrum and Brix value with a single regression. After that, the second and following wavelengths are selected statistically as the calibration equation shows a high correlation. Therefore, the second and following wavelengths are selected not in a NIR spectroscopic way but in a statistical way. In this research, the spectra at the six wavelengths including 900, 904, 914, 990, 1000 and 1016nm are selected as input data for K-mean analysis. 904nm is selected because the wavelength shows the highest correlation coefficients and is regarded as the absorbance wavelength. The others are selected because they show relatively high correlation coefficients and are revealed as the absorbance wavelengths against the chemical structures by B. G. Osborne. The experiment was performed with two phases. In first phase, a reflectance was acquired using fiber optics. The reflectance was calculated by comparing near infrared energy reflected from a Teflon sphere as a standard reference, and the $2^{nd}$ derivative spectra were used for K-mean analysis. Samples are intact 67 apples which are called Fuji and cultivated in Aomori prefecture in Japan. In second phase, the Brix values were measured with a commercially available refractometer in order to estimate the result of K-mean approach. The result shows a partition of the spectral data sets of 67 samples into eight clusters, and the apples are classified into samples having high Brix value and low Brix value. Consequently, the K-mean analysis realized the classification of apples on the basis of the Brix values.
Journal of the Korea Fashion and Costume Design Association
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v.10
no.3
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pp.101-110
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2008
We believe distinguishable product development to be competitive against foreign products, and realize the need to expand domestic business worldwide. In order to be competitive, we should produce fashion items that meets global taste, and at the same time contain exclusive Korean culture and emotional beauty. This article examines and creates unique textile design with the touch of Korean art. Desigus have been proceeded under the following three themes: 'Strong Ego,' 'Gorgeous Days' and 'Song Eternal Seeking Love' using Primavision Computer-aided Design ("CAD"). We have put our interestes in Korean traditional paintings called Hangukhwa. Suitable design motives had been selected and modified from the four gracious plants (bamboos, peonies etc.), and paintings of birds and flowers. Primavision, a CAD software, had been used to manipulate those desigus, and to add instant changes in color, scale, and layout. We had modified Korean traditional motives to make modem image, and had arranged layouts which can be suitable for half-drop repeat and square repeat. The use of color is essential in pattern design. Thus, we explored coloring ways for each design to meet the trends, and the final mapping had been conducted in western style of dresses. We have tried to mix Korean image of textile designs with Western clothing style, expressing hybrid in the mapping process. With global movements, we need to develop products with Korean traditional exotic taste to attract foreign consumers. Therefore, we selected symbolic motives from Korean paintings to express deep spiritual significance. We developed textile design and processed mapping on selected western designer's dress, employing current trend colors and making crossover coordination. We realized Korean painting would be an excellent source for exclusive fabric design, and tried to create a modernized design which maintains Korean ethnical identities.
Objective: The aim of this research was to investigate the current status and limitations of the clinical use of a pulse tonometry device (PTD). Methods: We searched online medical databases, including Oriental Medicine Advanced Searching Integrated System (OASIS), Research Information Sharing Service (RISS), DataBase Periodical Information Academic (DBpia) and PubMed, for clinical studies of metabolic diseases that used PTD. We selected articles on the clinical application of the PTD but excluded duplicate articles, clinical studies without the PTD, and non-clinical studies. In the first screening, 551 articles were selected. Ultimately, we found 10 articles and classified the articles according to the following diseases: hyperlipidemia, diabetes, overweight and obesity, hypertension, and metabolic disease. Results: Of the 10 selected articles, 4 were focused on hypertension. Two articles were focused on overweight or obesity and two articles were focused on the metabolic disease. Conclusions: This study was the first attempt to conduct a systematic review on clinical studies of metabolic disease using the PTD as a primary outcome. We suggest that the standard of pulse wave parameters and operating procedures for the PTD should be further developed. The results of this study are expected to be used as basic information for the planning and progression of clinical studies of metabolic syndrome using PTD.
Journal of Korean Academy of Fundamentals of Nursing
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v.8
no.2
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pp.270-278
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2001
The purpose of this study was to investigate the effect of personality characteristics on drinking patterns and drinking-related problems Subjects were selected through convenience sampling from the two universities in Kyung-Ki area Data were collected from Nov. 1st to Dec. 20th 2000 using a structured questionnaire that including general characteristics, Q-F(Quantity-Frequency) Methods, Personality Scales and Drinking-related Problem Scales. The results of this study show 1. 50.8% of subjects were heavy drinkers. 2. Heavy drinker scores higher on drinking-related problems and amount of smoking than light drinkers. 3. The Drinking patterns and drinking-related problems of heavy drinkers were selected to the influence of a depressive-tendency in personality and the amount of smoking. The results of this study suggest that the drinking-related problems of male university students are selected to the influence of depressive and anti-social characteristics. Therefore, it is necessary that further study on various nursing interventions be done and that personality be taken into consideration in developing programs aimed of preventing drinking-related problems in heavy drinkers.
This study was carried out to show how the Analytic Hierarchy Process technique could be used in setting the priority among selected diseases to increase the range of health insurance benefit. Thirty experts, including doctors (group1), experts for preventive medicine or public health(group2), and representatives of the insured(group 3), participated in the study panel that is conducted for priority setting. They were asked to evaluate the priorities among 6 selected criteria and then 42 selected diseases. The results were as follows; First, representatives of the insured think that the magnitude of out-of-pocket payment should have high priority while doctors think that effectiveness of treatment should have high priority. Second, all experts think that catastrophic diseases such as malignant neoplasm, major heart disease, and cerebral vascular disease should have high priority in health insurance coverage even though there is little difference among groups. These results can be useful to establish a systematic strategy for expanding health insurance benefit package.
In order to evaluate the genetic diversity and discrimination among five Korean native chicken lines, a total of 86 individuals were genotyped using 150 microsatellite (MS) markers, and 15 highly polymorphic MS markers were selected. Based on the highest value of the number of alleles, the expected heterozygosity (He) and polymorphic information content (PIC) for the selected markers ranged from 6 to 12, 0.466 to 0.852, 0.709 to 0.882 and 0.648 to 0.865, respectively. Using these markers, the calculated genetic distance (Fst), the heterozygote deficit among chicken lines (Fit) and the heterozygote deficit within chicken line (Fis) values ranged from 0.0309 to 0.2473, 0.0013 to 0.4513 and -0.1002 to 0.271, respectively. The expected probability of identity values in random individuals (PI), random half-sib ($PI_{half-sibs}$) and random sibs ($PI_{sibs}$) were estimated at $7.98{\times}10^{-29}$, $2.88{\times}10^{-20}$ and $1.25{\times}10^{-08}$, respectively, indicating that these markers can be used for traceability systems in Korean native chickens. The unrooted phylogenetic neighbor-joining (NJ) tree was constructed using 15 MS markers that clearly differentiated among the five native chicken lines. Also, the structure was estimated by the individual clustering with the K value of 5. The selected 15 MS markers were found to be useful for the conservation, breeding plan, and traceability system in Korean native chickens.
Shim, Jee-Seon;Lee, Jung-Sug;Kim, Ki Nam;Lee, Hyun Sook;Kim, Hye Young;Chang, Moon-Jeong
Nutrition Research and Practice
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v.11
no.6
/
pp.500-506
/
2017
BACKGROUND/OBJECTIVES: Food composition databases are necessary for assessing dietary intakes. Developing and maintaining a high quality database is difficult because of the high cost of analyzing nutrient profiles and the recent fast-changing food marketplace. Thus, priorities have to be set for developing and updating the database. We aimed to identify key foods in the Korean diet to set priorities for future analysis of foods. SUBJECTS/METHODS: The food consumption data of the Korea National Health and Nutrition Examination Surveys 2013-2014 were used. We modified the US Department of Agriculture's key food approach. First, major foods were analyzed, contributing to 75%, 80%, 85%, or 90% of each nutrient intake. Second, the cumulative contributions to nutrient intakes were compared before and after excluding the foods least commonly consumed by individuals. Third, total nutrient score for each food was calculated by summing all percent contributions times 100 for nutrients. To set priorities among the foods in the list, we sorted the score in descending order and then compared total percent contributions of foods, within the 100, 90, 85, 80, and 75 percentiles of the list. Finally, we selected the minimum list of foods contributing to at least 90% of the key nutrient intake as key items for analysis. RESULTS: Among the 1,575 foods consumed by individuals, 456 were selected as key foods. Those foods were chosen as items above the 80 percentile of the total nutrient score, among the foods contributing at least 85% of any nutrient intake. On an average, the selected key foods contributed to more than 90% of key nutrient intake. CONCLUSIONS: In total, 456 foods, contributing at least 90% of the key nutrient intake, were selected as key foods. This approach to select a minimum list of key foods will be helpful for systematically updating and revising food composition databases.
The Transactions of the Korean Institute of Power Electronics
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v.20
no.5
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pp.421-428
/
2015
An advanced direct torque control (DTC) with pulse width modulation (PWM) method is presented in this paper. The duty ratio calculation of the selected voltage vector is based on the voltage functions of the selected voltage vector according to the sector angle. The proposed DTC uses a conventional DTC scheme with six sector divisions and switching rules. However, the winding voltages are supplied by the PWM approach. Furthermore, the duty ratio of the switching voltage vector is determined by the flux, torque error, and motor speed. The base voltage that shall determine the duty ratio can be calculated by approximate voltage functions according to the voltage angle. For the calculation of base voltages, second-order quadratic functions are used to express the output voltage of the selected voltage vector according to voltage angle. The coefficients for the second-order quadratic functions are selected by the voltage vector, which is determined by the switching rules of the DTC. In addition, the voltage functions are calculated by the coefficients and voltage angle between the voltage vector and rotor position. The switching voltages from the calculated duty ratio can supply the proper torque and flux to reduce the ripple and error. The proposed control scheme is verified through practical experimental comparisons.
Proceedings of the Korean Society of Crop Science Conference
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2021.04a
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pp.137-137
/
2021
The study of total phenol (TP) content from 700 rice varieties was evaluated using the UV-Vis spectrophotometric method. The calibration curve of serial diluted gallic acid as a standard of this study showed the acceptable performances (R2 = 0.999, mean accuracy 90%) and the mean of % relative standard deviation (%RSD: 0.07%) within the range of 7.8 to 1000 ppm concentrations. The mean value of total phenol content from 700 rice varieties was 2723.15 ㎍/g ranged from 55.48 ㎍/g to 9922.23 ㎍/g and the mean %RSD was 2.5%. Furthermore, this study aim was to analyze and profile individual phenolic compounds in the rice genetic resources to construct an integrative database for development of new rice variety with high functionality for health and understanding of phenolics characteristics in the rice grain. Herein, we analyzed selected 100 rice varieties based on high TP content and identified total 15 phenolic compounds by LC-ESI-MS/MS. Among selected 100 rice genetic resources, the phenolic metabolites consisted of higher amount of flavonoid (catechin) and phenolic acid mainly protocatechuic acid. Further research of more selected rice genetic resources would be continued to provide for an integrative phenolics profile of different rice genetic resources.
Object: The purpose of this study was to select priority points for soil management using the location of groundwater and to suggest this method for soil contamination surveys. Method: Groundwater impact range was set to an area of 100 to 500 meters from the center point of agricultural groundwater wells. Data on industrial complex and factory areas, areas of stored or used ores and scrap metals, areas associated with waste and recycling, and traffic-related facilities areas were collected and checked for whether they fall within the groundwater impact range. Longitude and latitude coordinates of these data were mapped on the groundwater impact range using QGIS (Quantum Geographic Information System). Results: Considering the groundwater impact range, the points were selected as follows: 589 points were selected from 6,811 factories and 259 points were selected from 1,511 recycling business points. Traffic-related facility areas were divided between gas stations, bus depots, and auto mechanics. Thirty-four points were selected from 149 bus depots and 573 points were selected from 6,013 auto mechanic points. From the 2,409 gas station points, 323 were selected. Conclusion: Contaminated soil influences groundwater and crops, which can harm human health. However, soil pollution is not easily identified, so it is difficult to determine what has occurred. Pollution must be prevented beforehand and contaminated soil found. By selecting and investigating soil contamination survey points in consideration of the location of groundwater wells, we can safely manage water resources by preventing groundwater contamination in advance.
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