• Korean Journal of Community Nutrition
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• v.9 no.5
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• pp.636-643
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• 2004

The purpose of this study was to investigate school dietitians' perception on nutrition labelling of processed and packaged foods in the Incheon area. This study was carried out through a self-administered questionnaire and the subjects were 203 school dietitians. The results were summarized as follows. Most of the subjects checked nutrition labeling of processed and packaged foods when they purchased these foods for school lunch. However, the main reason for their checking nutrition labeling of processed and packaged foods was not for nutrition but for food safety. There were significant differences in the subjects' understanding and trust on nutrition labeling of processed and packaged foods by employment school. The scores of the subjects' satisfaction, understanding and trust on nutrition labeling of processed and packaged foods were not high. There were significant differences in the subjects' perception and concern about content information on nutrition labeling of domestic processed and packaged foods by employment school. Most of the subjects answered that it is almost necessary or very necessary to implement nutrition labelling of processed and packaged foods. Also their most preferred method of nutrition labelling was to label nutrient content. As the most important nutrient and functional component necessary for nutrition labelling, they answered energy, mineral such as calcium and iron, protein, total fat, cholesterol, vitamin, sodium and dietary fiber in order. As the major prerequisite task for the implementation of nutrition labelling, they answered formulation of nutrition labelling-related rules, and education and motivation for consumer, Therefore, it is necessary to activate the mandatory nutrition labelling of the processed and packaged foods and to prepare its consumer education program for school dietitian.

• Journal of the East Asian Society of Dietary Life
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• v.14 no.2
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• pp.161-174
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• 2004

This study was accomplished to investigate the dietary life and their opinion about the food-nutrition labelling of 20's∼60's housewives in Seoul and Kyeonggi area. The results were as follows. Among subjects, 63.5% didn't make a budget for the food expenses because they did not practice habitually not only the budget-planning, but also the menu planning. They often brought the Kimchi from the relatives rather than preparing it by themselves. On the other hand, they often purchased the soy sauce, soybean paste and soybean paste mixed with red pepper. When purchasing the foods, the importantly considered factors were in the order of freshness, taste and nutritional quality. They thought the processed foods were convenient and economic in terms of time but were not beneficial for the health and low in the nutritional quality. The confirming degree of food-nutrition labelling was very low, but in case of confirming, they often confirmed the manufactured date and the expiration date in order to confirm the stability. The degree of confidence and understanding about food-nutrition labelling of subjects was average 3.3 out of 5. They wanted the nutrient content the most in the food-nutrition labelling on the package. They preferred it as the types of picture and graph rather than the table and descriptiption. The expected effects of food-nutrition labelling was that they might be helpful to select the foods for the prevention of the adult diseases and obesity. From the results, we proposed that the agencies and nutrition concerned consumers should make an every efforts for the successful implementation of food-nutrition labelling system.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1858-1861
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• 2005

Automatic nut sorting machine used to calculate the size of inserted nut and detect the black spot defection is introduced in this paper. Because most of farm products are imported from the underdeveloped countries, domestic farm products have no place to be sold in market. To overcome this critical situation, lowering the productivity cost is strongly demanded to compete with foreign corps. Imaged processed nut sorting algorithm is developed to the automatic nut sorting machine to remove the sorting time which takes lots of man power. This system is composed of mainly two parts, mechanical parts and vision system. The purpose of mechanical part is supplying the nuts automatically to make computer system capture the images of objects. Simplified mechanical system was assembled followed by 3D simulation by Pro/E design for the adaptive cost effects. Several image processing algorithms are designed to detect the spot defects and calculate the size of nuts. Test algorithm shows good results to the designed automatic nut sorting system.

• Journal of Biomedical Engineering Research
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• v.38 no.1
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• pp.25-31
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• 2017

Testing TB in chest X-ray images is a typical method to diagnose presence and magnitude of PTB lesion. However, the method has limitation due to inter-reader variability. Therefore, it is essential to overcome this drawback with automatic interpretation. In this study, we propose a novel method for detection of PTB using SegNet, which is a deep learning architecture for semantic pixel wise image labelling. SegNet is composed of a stack of encoders followed by a corresponding decoder stack which feeds into a soft-max classification layer. We modified parameters of SegNet to change the number of classes from 12 to 2 (TB or none-TB) and applied the architecture to automatically interpret chest radiographs. 552 chest X-ray images, provided by The Korean Institute of Tuberculosis, used for training and test and we constructed a receiver operating characteristic (ROC) curve. As a consequence, the area under the curve (AUC) was 90.4% (95% CI:[85.1, 95.7]) with a classification accuracy of 84.3%. A sensitivity was 85.7% and specificity was 82.8% on 431 training images (TB 172, none-TB 259) and 121 test images (TB 63, none-TB 58). This results show that detecting PTB using SegNet is comparable to other PTB detection methods.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.11
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• pp.2540-2545
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• 2015

In this paper, we propose a novel method to extract appendix from ultrasound image automatically to avoid such subjectivity issue. In the process, we apply a series of image processing algorithms such as Ends_in search stretching for emphasizing brightness contrast and binarization, region labelling, and cubic spline interpolation for extracting lower bound fasicia line that is the base of extracting the appendix. Knowing that the appendix is located at the lower organ area below the bottom fascia line, we conduct a series of image processing techniques to find the fascia line correctly. And then we apply ART2 algorithm to the organ area in order to extract appendix accurately. Through experiment, the effectiveness of the proposed method is verified based on the field experts' evaluations.

• Journal of Life Science
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• v.16 no.5
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• pp.806-811
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• 2006

The regulation of labelling criterion for genetically modified (GM) foods has been enforced since 2001 in Korea. Therefore, GM soybean (GMS) or GM maize (GMM) processed foods must be labeled as GMO derived. We surveyed to see whether this regulation is kept relevantly or not and the distributive statue of GM processed foods. Using the method of polymerase chain reaction (PCR) based on endogenous gene (Le1n, SSIIb), promoter gene (P35S), terminator gene (NOS) and transgenic gene (RRS, Bt11, Bt176, GA21, T25, Mon810), we detected GMS and GMM processed foods circulating at the market in Busan area. Out of total 100 samples, 38 items were showed to be contaminated with recombinant gene by qualitative PCR. Among 82 domestic and 18 imported items, 32 (39.0%) and 6 (33.3%) items were detected with GM ingredients respectively. Also among the 80 soybean and 20 maize processed foods, 23 (28.7%) and 15 (75.0%) foods were sensitive to detect GMS and GMM ingredients respectively. For the qualitative PCR positive foods, we chased identity preservation (IP) certificates. And we verified that the PCR positive crops were grown up, harvested and shipped separately from GMO but just mixed with GMO in the threshold of the non attentional contamination levels (3%). Thus we can not find out any regulation-violent case at all. The results of this study will help to keep the regulations of GM labelling and be informative to consumers who want to know the laboratory results of GMO testing.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.10a
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• pp.907-910
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• 2011

This paper proposes a character segmentation algorithm of steel plate images composed of adaptive binarization by the SCW (Sliding Concentric Windows) technique, the object labelling by CCA (Connected Component Analysis), and 2D projection method. The SCW technique carries out the grayscale-to-binary image conversion in consideration of local characteristics of images. The character decision algorithm followed by the labelling technique by CCA (Connected Component Analysis) determines the character area effectively reducing the noise effect. The 2D projection with horizontal and vertical directions produces a tight bounding box for a character based on the cross points. Experimental results indicate that the proposed algorithm segments the characters in steel plate images effectively. The proposed algorithm can be applied to the devices with limited resources due to its excellent performance and low complexity.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 2017.04a
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• pp.42-42
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• 2017

Prediction of rice yield during a growing season would be very helpful to magnify rice yield as it also allows better farm practices to maximize yield with greater profit and lesser costs. UAV imagery based automatic detection of rice can be a relevant solution for early prediction of yield. So, we propose an image processing technique to predict rice yield using low altitude UAV images. We proposed $L^*a^*b^*$ color space based image segmentation algorithm. All images were captured using UAV mounted RGB camera. The proposed algorithm was developed to find out rice grain area from the image background. We took RGB image and applied filter to remove noise and converted RGB image to $L^*a^*b^*$ color space. All color information contain in both $a^*$ and $b^*$ layers and by using k-mean clustering classification of these colors were executed. Variation between two colors can be measured and labelling of pixels was completed by cluster index. Image was finally segmented using color. The proposed method showed that rice grain could be segmented and we can recognize rice grains from the UAV images. We can analyze grain areas and by estimating area and volume we could predict rice yield.

• Journal of Food Hygiene and Safety
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• v.25 no.2
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• pp.162-169
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• 2010

The compulsory beef labelling system has launched from January 1st 2007 by the amended Food Hygiene Law, we were checked the actual conditions of beef origin with a nationwide scale by the Hanwoo differentiation specific test method which was developed by Korea FDA using 90 SNP biomarkers. The test method is useful tool to differentiate the beef origin carrying out the mission of KFDA's annual food safety management guidance. Also we have technically transferred the Hanwoo differentiation specific test method to other institutes as well regional KFDA and established the training program as a regular course in Korea Human Resource Development Institute for Health and Welfare. The beef used in this study were collected according to the 2009 Food safety guidance in roast beef restaurants where business site area greater than 100 $m^2$. Total 216 samples were consisted of 48 samples of the Seoul area and 168 of the region. The monitoring result from restaurants in all the region of Korea showed that 3 of 216 Hanwoo-labelled beefs were found out as a non-Hanwoo (1.3%). This results are gradually deceasing trend compared with 34.0% in 2005, 30.1% in 2006, 3.2% in 2007 and 5.14% in 2008. From these data, the Hanwoo differentiation specific test method on the settlement of the compulsory beef labelling system has an important role. As a outcome of this project, we might be considered the early settlement of the compulsory beef labelling system, technically transferred to other institutes and the establishment of regular training program of the test method.

• Journal of Dairy Science and Biotechnology
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• v.29 no.1
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• pp.23-31
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• 2011

Domestic dairy industry is now standing at the crossroad for planning next fifty years, mainly because economic and environmental situations surrounding Korean peninsula are fast changing. For the aspects of dairy consumption, fresh milk consumed less, while consumption of the other milk and dairy products is slightly increasing every year. In 2010, it is approximately estimated that 1,939,000 tons of raw milk was used and the supply would be short by about 35,000 tons, based on the amounts in the previous year. Currently, multilateral negotiations against US and EU are underway. When it will be in effect in the future, significant damage would be expected in the dairy and livestock sectors, leading to cut domestic milk supply. Quality of farm-gate milk is graded as 1A on average 90% or more, loaded with very low in microbial and somatic cell counts. Therefore, policy implications have to be placed toward switch currently the UHT processing method to Pasteurization or the LTLT technology, by which natural flavors and nutrients in milk mostly remain after heat treatment. Domestic cheese products comprise only 10% and the rest is occupied by the various kinds of imported natural products. The market size keeps increasing up to 65,423,000 tons last year. When it comes to vitalization of our natural cheese industry, cheese whey, which is a main by-product in cheese manufacture, is a critical issue to be solved and also "On-Farm Processing" would be combined with a growth of big dairy companies when few immediate issues among the relevant regulations will be eased and alleviated in the near future. Fermented milk market is recorded as a single area of gradual increase in the past 10 years, Korea. Fermented yogurts with health claims targeted stomach, liver, and intestine are popular and has grown fast in sales amounts. In this context, researches on beneficial probiotic lactic acid bacteria are one of the important projects for domestic milk and dairy industries. Labelling regulations on efficacy or health-promoting effects of functional dairy products, which is the most important issue facing domestic dairy processors, should be urgently examined toward commercial expression of the functionality by lawful means. Colostrum, a nutrition-rich yellowish fluid, is roaded with immune, growth and tissue repair factors. Bovine colostrum, a raw material for immune milk preparations and infant formula, can be used to treat or prevent infections of the gastrointestinal tract. Nanotechnology can be applied to develop new milk and dairy products such as micro-encapsulated lactase milk for consumers suffering lactose intolerance. Raw milk is suggested to be managed by its usage in the processing line because imbalance of supply and demand is structural problem in every country and thus the usage systems as in the advanced dairy countries is worth of bench-marking to stabilize milk supply and demand. Raw milk produced is desirable to divide into the three parts; domestic, import, and buffering purposes. It is strongly recommended that a domestic dairy control center as an institutional framework should be urgently established as is Dairy Board in New Zealand and Australia. Lastly, government policy should be directed to foster the highly-educated people who are majoring in Dairy Sciences or working in the dairy industry by means of financial support in studying and training abroad as well.