• Journal of the Korean Society of Food Culture
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• v.32 no.1
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• pp.39-51
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• 2017

The purpose of this study was to analyze the current status relating to food packaging and design for status of small and medium food enterprises. A company survey was conducted from June to October, 2015 and targeted 1300 small and medium domestic food enterprises. Finally, a total of 1300 (recovery rate 100%) useable data were selected. Statistical analyses were performed on the data utilizing the SPSS PASW Statistics 18.0 for Windows, such as descriptive statistics and frequency analysis. According to the results, awareness and importance of food labeling were high, but performance of English inscription of product name was relatively low. The most important reason for food labeling was 'providing correct information on food' 910 (72.8%). Accordingly, a system which can provide the latest information by continuously monitoring mandatory disclosure requirements for types of foods in individual countries is needed.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.19 no.4
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• pp.335-346
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• 2009

As the economy has grown and the main industry in Korea has been changed from secondary industry to tertiary industry, the importance of indoor environment has been a matter of common concern, in which one of the main concerns is to improve the indoor acoustic conditions. However, even though this is required more than before, there are no measures to protect the human being from the noise of electric home appliances. This is owing to the absence of the data about sound power level of electric home appliances. So, we investigate the sound power level of them and analyze the acoustical characteristics of each one. First, we tried to investigate the sound power measurement method of each electric home appliance. After it we test the sound power level of them. From the survey, we can know that the vacuum cleaner is the most noisy electric home appliance, and the refrigerator is the least noisy one. This results will help us predict the indoor noise level using the basic data of sound power level.

• Korean Management Science Review
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• v.32 no.3
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• pp.1-12
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• 2015

This study aims to analyze the efficiency of the government policy of Nanotechnology which is expected to minimize nanotechnology's potential risk, using the methodology of conjoint analysis and market share analysis. The attributes of conjoint analysis were divided into potential risk factor and the policy factor. It was found that the policy factor could alleviate the potential risk, subsequently increasing consumers' utility. Additionally, the government certification was more powerful than the mandatory labelling. The market share also increased in result of the nanotechnology-applied product with the certification or labeling either. The result of this study can be used as a reference to related policy makers in the fields of Nanotechnology.

• Journal of the Institute of Convergence Signal Processing
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• v.1 no.1
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• pp.89-96
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• 2000

In this paper, we propose a vision algorithm for the inspection of very small RF-chip inductor which is used in mobile-communication terminal. The proposed method divides coil part from the inductor body by local adaptive thresholding and integral projection method. After dividing work, the coil components are extracted by thinning and labelling techniques. The test items are the number of turns, the intervals in coil, and the measure of uniformity between the extracted lines. If the values of these are more than the specific value a tested product is decided bad one. In the simulation, the proposed method has a good performance.

• The Korean Journal of Nuclear Medicine
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• v.11 no.1
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• pp.9-15
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• 1977

Radioiodine labelled human follicle stimulating hormone has been prepared using chloramine-T, with the approximate labelling yield of 65%. The labelled product is purified by means of a starch gel electrophoresis, and a Sephadex gel filtration, and the separation efficiencies are assessed for the effective use in radioimmunoassay. The results indicate that the gel filtration is efficient in view of the separation time, simplicity and bindability of the labelled hormone to the antibody. In determining the ratio of the free to the antibody hound labelled hormone, a double antibody technique is applied in comparison with a chromatoelectrophoresis. The ratio could be obtained only in the case of applying the double antibody technique.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.31 no.1 s.49
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• pp.1-11
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• 2005

The changes of cosmetic industry regulation in the leading countries, such as E.C., America, Japan, initiated our research to suggest the direction of our cosmetics regulation. These countries are strengthening the post-monitoring system for the safety and cosmetic industry development. We propose the agenda for the development of the industry; the extension of cosmetics range, deregulation of the advertisement, implementation of the ingredient labelling, introduction of the product expiring date. Ultimately. it is necessary to introduce and extend current CGMP to enhance the company responsibility and to reinforce the post-monitoring.

• Journal of Food Hygiene and Safety
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• v.38 no.4
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• pp.273-278
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• 2023

This study aimed to predict the shelf life of black soybean Sunsik to develop a functional labeling system for the product. The Arrhenius equation was used to calculate the shelf life by examining alterations in the dietary fiber and calcium levels of black soybean Sunsik stored at 25, 35, and 50℃ for 0, 6, and 12 months. Dietary fiber and calcium analyses were performed according to the experimental methods specified in the Food Code of the Ministry of Food and Drug Safety. Both black soybean Sunsik (BS) and black soybean Sunsik containing nondigestible maltodextrin and calcium lactate (BSN) exhibited an upward trend in dietary fiber content after 12 months of storage, compared to their initial levels. During storage, the phytate in Sunsik degraded, releasing cations that facilitated the formation of new cross-links between pectic acid and middle lamella, which ultimately increased dietary fiber content. Conversely, the calcium contents of both BS and BSN decreased with prolonged storage. Based on these findings, the expected shelf life of BS and BSN was calculated as 15.65 and 28.34 months, respectively.

• Journal of Intelligence and Information Systems
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• v.24 no.1
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• pp.1-23
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• 2018

From the 21st century, various high-quality services have come up with the growth of the internet or 'Information and Communication Technologies'. Especially, the scale of E-commerce industry in which Amazon and E-bay are standing out is exploding in a large way. As E-commerce grows, Customers could get what they want to buy easily while comparing various products because more products have been registered at online shopping malls. However, a problem has arisen with the growth of E-commerce. As too many products have been registered, it has become difficult for customers to search what they really need in the flood of products. When customers search for desired products with a generalized keyword, too many products have come out as a result. On the contrary, few products have been searched if customers type in details of products because concrete product-attributes have been registered rarely. In this situation, recognizing texts in images automatically with a machine can be a solution. Because bulk of product details are written in catalogs as image format, most of product information are not searched with text inputs in the current text-based searching system. It means if information in images can be converted to text format, customers can search products with product-details, which make them shop more conveniently. There are various existing OCR(Optical Character Recognition) programs which can recognize texts in images. But existing OCR programs are hard to be applied to catalog because they have problems in recognizing texts in certain circumstances, like texts are not big enough or fonts are not consistent. Therefore, this research suggests the way to recognize keywords in catalog with the Deep Learning algorithm which is state of the art in image-recognition area from 2010s. Single Shot Multibox Detector(SSD), which is a credited model for object-detection performance, can be used with structures re-designed to take into account the difference of text from object. But there is an issue that SSD model needs a lot of labeled-train data to be trained, because of the characteristic of deep learning algorithms, that it should be trained by supervised-learning. To collect data, we can try labelling location and classification information to texts in catalog manually. But if data are collected manually, many problems would come up. Some keywords would be missed because human can make mistakes while labelling train data. And it becomes too time-consuming to collect train data considering the scale of data needed or costly if a lot of workers are hired to shorten the time. Furthermore, if some specific keywords are needed to be trained, searching images that have the words would be difficult, as well. To solve the data issue, this research developed a program which create train data automatically. This program can make images which have various keywords and pictures like catalog and save location-information of keywords at the same time. With this program, not only data can be collected efficiently, but also the performance of SSD model becomes better. The SSD model recorded 81.99% of recognition rate with 20,000 data created by the program. Moreover, this research had an efficiency test of SSD model according to data differences to analyze what feature of data exert influence upon the performance of recognizing texts in images. As a result, it is figured out that the number of labeled keywords, the addition of overlapped keyword label, the existence of keywords that is not labeled, the spaces among keywords and the differences of background images are related to the performance of SSD model. This test can lead performance improvement of SSD model or other text-recognizing machine based on deep learning algorithm with high-quality data. SSD model which is re-designed to recognize texts in images and the program developed for creating train data are expected to contribute to improvement of searching system in E-commerce. Suppliers can put less time to register keywords for products and customers can search products with product-details which is written on the catalog.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.9 no.6
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• pp.227-231
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• 2009

Recently, the global warming phenomenon has been taken notice of. The global warming phenomenon has given enormous bad impact to social economic fields as well as ecological areas by rising sea levels and weather calamities. To cope with the phenomenon most developed countries adopted the Kyoto Protocol to reduce greenhouse gas emissions. To achieve the target of the Kyoto Protocol, the developed countries are operating organization-run green quality assurance and labelling systems with their standardized methods to evaluate the environmental and greenhouse gas impact for ICT products and services. This paper introduces several countries standards which can be applied to evaluate the reduction effect of greenhouse gas emission and green ICT quality assurance which also can be applicable for recycling and managing of ICT products. This paper is expected to be used as a policy data for ICT related government bodies and industry areas.

• The Korean Journal of Food And Nutrition
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• v.24 no.3
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• pp.282-290
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• 2011

This study was performed to investigate the level and recognition and interest in nutrition labeling in restaurants according to consumer interest levels in health and to suggest its application to restaurant lunches. By considering various statistics and data on the frequency of reasons for dining-out, this study examined worker restaurant lunches and investigated the level of recognition of interest in nutrition labeling, the type of nutrition information that is of interest and the preferred format of labeling according to the level of interest in health. According to the results, while the frequency of dining-out by workers was high, their consideration for health and nutrition labeling in restaurants was low. However, a high percentage of consumers responded that nutrition labeling was a customer right and necessary to improve the quality of menu items as well as public health. Therefore, active promotion of nutrition labeling in the dining industry is necessary. Interest levels in additives, product origin and menu ingredients indicated in restaurant menus were higher than for nutritional information such as nutrients and calories. When the preferred format for providing nutrition information was investigated, consumers preferred information written on a menu board, and they wanted to broaden the range of information included in nutrition labeling for menu items beyond calories and nutritional facts. Based on these results, recognition of nutrition labeling in restaurants was found to below and the interest level in health was also lower than expected. However, most consumers responded that nutrition labeling was helpful in choosing menu items can be a tool for nutrition education and can play a role in improving the recognition of nutrition. Therefore, active promotion of nutrition labeling by the dining industry is necessary.