• The Korean Journal of Food And Nutrition
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• v.28 no.5
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• pp.871-879
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• 2015

24-hour recall is the dietary assessment method most frequently used to evaluate dietary intake; however, accuracy is an issue when using this method, especially in large-scale studies. The purpose of this study was to assess the validity of dietary intake estimation using one serving size. Estimates of energy and nutrients taken in over a 24-hr period based on actual intake amount (24HRAI) and based on estimates of one serving size (24HRSS) were compared. Data were analyzed using a paired t-test, Pearson's correlation coefficients, and a cross-classification method. In male subjects, intake levels of energy, fat, vitamin C, vitamin $B_1$, Zn, and total food measured using 24HRAI were significantly higher than those measured using 24HRSS. In female subjects, intake of carbohydrates, fiber, fat, vitamin A, vitamin C, vitamin B complexes, various minerals, and total food measured using 24HRAI were significantly lower than those measured using 24HRSS. Energy-adjusted Pearson's correlation coefficients revealed that intake of all nutrients showed a significant positive relationship between the two measurement methods in both males and females. Cross-classification analysis revealed that 50.5~67.6% of women and 40.3~71% of men were classified in the same quartile of intake of each nutrient when comparing data from 24HRAI and 24HRSS. We conclude that using one serving size in 24-hr recall analysis was valid and therefore may be used in studies to assess food consumption in the general adult population. Also, this method can be used to classify energy and nutrient intake into quartile, which is useful in examining the association between diet and chronic diseases.

• Korean Journal of Community Nutrition
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• v.15 no.3
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• pp.342-350
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• 2010

This study investigates differences in middle school male students' anthropometric variables and dietary habits using BMI (Body Mass Index) classifications. $\chi^2$ -test for frequency and ANOVA test for mean value and duncan value were used to analyze results. Averaged results of three groups of middle school male students' anthropometry including height (normal group 164.4 cm, overweight group 165.0 cm, obese group 167.0 cm), weight (normal group 56.0 kg, overweight group 70.0 kg, obese group 83.2 kg) and waist circumference (normal group 20.7 cm, overweight group 79.8 cm, overweight group 89.6 cm) were resulted. Classification of obese group was based upon 2007 growth charts using BMI criteria. This study indicates the normal weight group boys have over-eating related dietary habits and the obese groups have less calorie dietary habits. They answered oppositely to normal recognition. The obese group reflected dietary problems, such as preferences for sweet fruit rather than normal group males. Dinnertime of the groups were significantly different and obese group's earlier dinnertime can influence on their late night snack eating. Forty precent of obese male group like fruits as late night eating food. Three meal amount of three groups were significantly different, as obese group answered they ate same amount at every meal. It can mean obese group ate more amount of food in every meal. Overweight and obese male students have dietary problem of fast eating and answers of unbalanced eating were higher in normal group. These could mean obese group eats well in every food and fast eating habit could lead a lot of food eating habit. Obese group chooses out-going food of less calorie and frequency of fast food eating was lower than normal group. In result, obese group answered that they have less calorie related dietary habits, it could mean their answers were false or fixed dietary habit. Therefore, more researches should be followed.

• Journal of Biomedical Engineering Research
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• v.44 no.1
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• pp.73-79
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• 2023

The purpose of this study is to derive medical devices with different management systems through comparison of domestic and overseas medical device product classification systems and to propose management conversion measures for the products. The definitions of medical devices were compared and the scope of medical devices defined by each country was confirmed through surveys of the Medical Device Act, Federal Food, Drug & Cosmetics Act (FD&C) in the U.S., and Medical Device Regulations (MDR) in Europe. Using the Ministry of Food and Drug Safety's regulations on medical device products and grades, 21 CFR part 860-892 and product code classification files in U.S., and EMDN in Europe as basic data to compare medical device products and derive medical devices with different management systems. As a result of comparing the definition and product classification systems of medical devices in Korea, the U.S. and Europe, medical device accessories, prosthetic limbs and aids among assistive devices for persons with disabilities, drugs, quasi-drugs and industrial products that are not managed by medical devices in Korea are managed as medical devices in the U.S. and Europe. This study aims to improve public health by securing systematic product safety management and essential performance under medical device regulations. Management within a single medical device system will increase the efficiency of licensing work of domestic medical device manufacturers and related organizations. It is also expected to help advance the system according to the international harmony of the item classification system and enhance smooth import and export competitiveness.

• Food Science of Animal Resources
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• v.38 no.2
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• pp.362-375
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• 2018

This study proposed a rapid microscopic examination method for pork freshness evaluation by using the self-assembled hyperspectral microscopic imaging (HMI) system with the help of feature extraction algorithm and pattern recognition methods. Pork samples were stored for different days ranging from 0 to 5 days and the freshness of samples was divided into three levels which were determined by total volatile basic nitrogen (TVB-N) content. Meanwhile, hyperspectral microscopic images of samples were acquired by HMI system and processed by the following steps for the further analysis. Firstly, characteristic hyperspectral microscopic images were extracted by using principal component analysis (PCA) and then texture features were selected based on the gray level co-occurrence matrix (GLCM). Next, features data were reduced dimensionality by fisher discriminant analysis (FDA) for further building classification model. Finally, compared with linear discriminant analysis (LDA) model and support vector machine (SVM) model, good back propagation artificial neural network (BP-ANN) model obtained the best freshness classification with a 100 % accuracy rating based on the extracted data. The results confirm that the fabricated HMI system combined with multivariate algorithms has ability to evaluate the fresh degree of pork accurately in the microscopic level, which plays an important role in animal food quality control.

• Magazine of the Korean Society of Agricultural Engineers
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• v.7 no.2
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• pp.935-943
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• 1965

1. Nation wide soil surver is going of from Oct't by Unkup. According to the sever years program of national high hueld of food production campaign. 2. About eighry of new soil surveryors wee assigned to provincial office of Unkup. 3. Land capability classifieation comes from U.S.D.A method. Bur we fells most adequate land classification should be studied and set uo of the real Korean Natural situation. 4. This theory has been studied by the Unkup soil survey staffs.

• Journal of Nutrition and Health
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• v.30 no.5
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• pp.520-528
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• 1997

This study was conducted to develop a food frequency questionnaire for an epidemiological study of dietary patterns and nutrient intake among Koeran American. A random sample of 101 Korean Americans between the ages of 17 and 71 residing in New York and New Jersey was interviewed by the method of 24-hour dietary recall. The foods Korean Americans consumed most frequently were rice (91% of the population), kimchee (81%), coffee(59%), bread(49%), apple(45%), bean sprouts (33%), milk (30%), dried anchovies (27%), eggs(27%), juice (26%), bulgogi, and soybean paste soup (24%, equally. The classification of food items standardized portion sizes were according to both Block's questionnaire and the standardized portion sizes by the Korean Nutrition Association. The value of this food frequency questionnaire is that it can accurately estimate dietary food patterns and nutrient intake among Korean Americans for epidemiological studies. It could also potentially be modified to study the relationship between specific diseases and food intake in the future.

• Journal of Korean Library and Information Science Society
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• v.34 no.1
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• pp.239-260
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• 2003

The purpose of this study is to devise a classification scheme to arrange the agricultural information efficiently. In the first part it defines the agricultural science and studies the content and system of the agricultural science. It compares current KDC with DDC, UDC and NDC used to agriculture parts, and it studies AGRICOLA SCC. On the basis of it, this study is displayed the new classification for the agricultural science. The new classification scheme Is classified by the basic theories related to agriculture, agriculture of plants, animal agriculture, food products, and auxiliary disciplines in turn. The number of main divisions are set up 23 items.

• Korean Journal of Remote Sensing
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• v.40 no.1
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• pp.57-69
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• 2024

Crop classification plays a vitalrole in monitoring agricultural landscapes and enhancing food production. In this study, we explore the effectiveness of Long Short-Term Memory (LSTM) models for crop classification, focusing on distinguishing between apple and rice crops. The aim wasto overcome the challenges associatedwith finding phenology-based classification thresholds by utilizing LSTM to capture the entire Normalized Difference Vegetation Index (NDVI)trend. Our methodology involvestraining the LSTM model using a reference site and applying it to three separate three test sites. Firstly, we generated 25 NDVI imagesfrom the Sentinel-2A data. Aftersegmenting study areas, we calculated the mean NDVI values for each segment. For the reference area, employed a training approach utilizing the NDVI trend line. This trend line served as the basis for training our crop classification model. Following the training phase, we applied the trained model to three separate test sites. The results demonstrated a high overall accuracy of 0.92 and a kappa coefficient of 0.85 for the reference site. The overall accuracies for the test sites were also favorable, ranging from 0.88 to 0.92, indicating successful classification outcomes. We also found that certain phenological metrics can be less effective in crop classification therefore limitations of relying solely on phenological map thresholds and emphasizes the challenges in detecting phenology in real-time, particularly in the early stages of crops. Our study demonstrates the potential of LSTM models in crop classification tasks, showcasing their ability to capture temporal dependencies and analyze timeseriesremote sensing data.While limitations exist in capturing specific phenological events, the integration of alternative approaches holds promise for enhancing classification accuracy. By leveraging advanced techniques and considering the specific challenges of agricultural landscapes, we can continue to refine crop classification models and support agricultural management practices.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.755-764
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• 1996

A multispectral imaging system with selected wavelength optical filter was demonstrated feasible for food safety inspection. Intensified multispectral images of carcasses were obtained with visible/near-infrared optical filters(542-847 nm wavelengths) and analyzed. The analysis of textural features based on co-occurrence matrices was conducted to determine the feasibility of a multispectral image analyses for discriminating unwholesome poultry carcasses from wholesome carcasses. The mean angular second moment of the wholesome carcasses scanned at 542 nm wavelength was lower than that of septicemic (P$\leq$0.0005) and cadaver(P$\leq$0.0005) carcasses. On the other hand, for the carcasses scanned at 700nm wavelength , the feature values of septicemic and cadaver carcasses were significantly (P$\leq$0.0005) different from wholesome carcasses. The discriminant functions for classifying poultry carcasses into three classes (wholesome, septicemic , cadaver) were developed using linear and quadr tic covariance matrix analysis method. The accuracy of the quadratic discriminant models, expressed in rates of correct classification, were over 90% for the classification of wholesome, septicemic, and cadaver carcasses when textural features from the spectral images scanned at the wavelength of 542 and 700nm were utilized.

• Microbiology and Biotechnology Letters
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• v.18 no.5
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• pp.443-448
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• 1990

The objective intended for this study is that of providing a fairly practical guide to the use of natural pigment in the food industry. Streptomyces isolated from soil were carried out test for the excretion of their bluish purple pigment. One strain of Streptomyces, strain KS-89 showed a high production of bluish purple pigment on the glycerol starch-glutamate medium. The morphological and physiological characteristics of the strain KS-89 were studied according to the methods of Bergey's manual, Nonomura's classification, and Ridham and Lyons classification. Based on the results obtained in these experiments, strain KS-89 was identified as Streptomyces californicus.