• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2014.05a
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• pp.287-290
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• 2014

The Large-scale Agricultural & Livestock Products consists largely of distribution at The nation's of school and military foods. but false information on the Agricultural & Livestock Products in a safe food supply has become a social issue. The food suppliers deliver food resource in a school-large food establishments such as Change to domestic high-quality Livestock products from low-quality foreign Livestock products, Change to eco-friendly agricultural produce from normal agricultural produce, Change to fresh vegetables from contaminated vegetables. In this paper, e-Discovery system applies to the methods and security of incorrect logistics information and evidential data about illegal products of agriculture & livestock, it is necessary as studies about compensation and liability.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.27 no.3
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• pp.175-180
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• 2021

Although it has recently been regulated for use as an eco-friendly policy in Korea, the use of EPS (Expanded Polystyrene) cooling boxes, which are used as cold chain delivery insulation boxes for fresh agricultural and livestock products, is also increasing rapidly as e-commerce logistics such as delivery have increased rapidly due to COVID-19. Studies were conducted to optimize the EPS cooling container through internal air heat flow of CFD (Computational Fluid Dynamics) analysis and FEM (Finite Element Method) random vibration analysis using domestic PSD (Power Spectral Density) profile of the EPS cooling box to which the refrigerant is applied in this study. In the analysis of the internal air heat flow by the refrigerant in the EPS cooling box, the application of vertical protrusions inside was excellent in volume heat flow and internal air temperature distribution. In addition, as a result of random vibration analysis, the internal vertical protrusion gives the rigid effect of the cooling box, so that displacement and stress generation due to vibration during transport are smaller than that of a general cooling container without protrusion. By utilizing the resonance point (frequency) of the EPS cooling box derived by the Model analysis of ANSYS Software, it can be applied to the insulation and cushion packaging design of the EPS product line, which is widely used as insulation and cushion materials.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.28 no.1
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• pp.67-73
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• 2022

The food cold chain refers to a technology and distribution supply chain applied to maintain a constant temperature suitable for the product from production (harvest) to delivery to consumers. In particular, in Korea, the insulation material used in the food cold chain is mostly EPS (Expanded Polystyrene), which is used as a transport container for various food cold chains. However, according to the government's eco-friendly policy, companies charge environmental contributions to the use of EPS, but due to its low price and convenience of handling, it is still used as a container for delivering food. In this study, in order to measure the domestic delivery environment of general refrigerated foods, changes in impact, temperature, and humidity during transport of the EPS packaging system containing foods and ice pack refrigerants were measured. As a result, there were 2?3 sections in which a high impact force of 40 G or more was generated during transport. This can cause damage to the product and EPS container. The difference in temperature and humidity changes by parcel transport routes is more than 30%, so it is necessary to present accurate standards for the domestic cold chain distribution environment. As a result of microbial experiments. the transportation period had a dominant effect on the increase in total viable count and E. coli count.

• Journal of Information Technology Applications and Management
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• v.30 no.3
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• pp.1-13
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• 2023

Demand forecasting is a crucial task for an online retail where has to manage daily fresh foods effectively. Failing in forecasting results loss of profitability because of incompetent inventory management. This study investigated the optimal performance of different forecasting models for a very short shelf-life product. Demand data of 13 perishable items with aging of 210 days were used for analysis. Our comparison results of four methods: Trivial Identity, Seasonal Naïve, Feed-Forward and Autoregressive Recurrent Neural Networks (DeepAR) reveals that DeepAR outperforms with the lowest MAPE. This study also suggests the managerial implications by employing coefficient of variation (CV) as demand variation indicators. Three classes: Low, Medium and High variation are introduced for classify 13 products into groups. Our analysis found that DeepAR is suitable for medium and high variations, while the low group can use any methods. With this approach, the case can gain benefit of better fill-rate performance.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.41 no.11
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• pp.1446-1455
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• 2016

The recent increase of fresh farm products, hazardous cargos, and high-priced goods in marine transportation has caused an increased demand of cargo owners and shipping companies with regard to the monitoring of the location and state of cargo. To meet this increase, numerous technologies are being studied for the monitoring of the cargo state. Cargo containers on a ship are loaded on a ship's deck and in a ship's hold, which is located under the deck. However, Since the developed technologies mostly transfer the container status information that collected by mobile communication, it costs a lot to install communication infrastructure on ship. And the ship's hold is completely sealed with a cover, and communication with the reader positioned at the ship's bridge is difficult. Therefore, most existing studies on container monitoring on ships have focused on the monitoring of containers loaded on a ship's deck. Accordingly, this study suggested system configuration for the monitoring of containers in a ship's hold using IP-RFID technology. The suggested system configuration was tested on an actual ship under navigation, and the test results are given in this study. The test results verified that the monitoring of containers in a ship's hold using IP-RFID technology is effective.

• Food Science and Preservation
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• v.13 no.2
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• pp.180-185
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• 2006

Prunus mume has been used as a Korean medicine. It is effective in treating diarrhea and an abdominal pain. This experiment was carried out to optimize extraction conditions of prunus mume flower tea and to analyze volatile compounds. Three kinds of samples treated with fresh, freeze dry, and shade dry, were used, and prunus mum flower tea was manufactured by the mixed ratio of green tea and prunus mume flower. The result was valued by the Hunter's value, flavor and taste. The optimum conditions of extraction time and temperature were 3 min and $80^{\circ}C$ respectively. Sensory evaluation shows that optimum ratio was adaptive 90% green tea with 10% prunus mume flower. The major volatile compound in prunus mume flower was benzaldehyde.

• Korean Journal of Agricultural Science
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• v.45 no.4
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• pp.601-614
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• 2018

Chitosan with a natural antimicrobial property has been introduced to protect horticultural crops from diseases as an environmentally friendly method. The purpose of this study was to investigate the effects of the pre-harvest application of chitosan on growth and quality during the late stage of fruit development and on the simulated marketing of the peach fruit (Prunus persica L.). The application of chitosan with calcium chloride ($100mg{\cdot}L^{-1}$) three times at one week intervals 4 weeks before the harvest significantly increased the fruit weight, changed the fruit shape, and reduced the fruit length/diameter ratio giving the peach fruits a round oblate shape. The calcium treatment contributed to enhancing or maintaining the storage potential by increasing the flesh firmness. However, at higher concentrations of $CaCl_2$, i.e., > $600mg{\cdot}L^{-1}$, the positive effects of the chitosan application were offset, and fruit growth was not affected by calcium alone. The application of the chitosan/calcium mixture delayed fruit softening; however, this effect was shortened when the storage temperature was $20^{\circ}C$ rather than $15^{\circ}C$. The internal quality of the fruit was profoundly affected by the concentration of calcium added to the chitosan, and delayed fruit maturation was observed at a higher concentration of calcium. The pre-harvest application of chitosan with calcium contributes to the enhancement of food safety by inhibiting the occurrence of diseases during postharvest handling. Considering the above results, chitosan has the potential to improve both the yield of peach fruits and their storability. Because chitosan can enhance the freshness and shelf-life of fresh produce, it is necessary to examine its effects on other horticultural crops.

• Food Science and Preservation
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• v.13 no.2
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• pp.186-191
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• 2006

Prunus mume is extensively cultivated as a fruit and medicinal plant in Korea. Recently, prunus mume has a pressing problem with an increase of prunus mume cultivation area in southern part in Korea. Chemical properties of prunus mume flower to determine the optimum processing varieties for tea were investigated. Three kinds of samples treated with fresh, freeze dry and shade dry were used. The content of moisture, crude ash, crude protein, crude fiber, crude fat and nitrogen free extract of prunus mume flower varieties were to $82{\sim}85%,\;0.2{\sim}0.6%,\;2.5{\sim}3.1%,\;2.5{\sim}3.1%,\;0.6{\sim}0.8%\;and\;10{\sim}11%$ respectively. The main component of free sugars in prunus mume flower was glucose and those of organic acids were citric and malic acids. 17 kinds of amino acids were determined from prunus mume flower. The total amino acid contents of Cheongchuk, Baeagaha and Goseong were 760.47 mg%, 624.01 mg% and 807.41 mg%, respectively. Aspartic acid, glutamic acid and lysine were the major component in 3 cultivars. The content of K was much higher than Ca, Mg, Na, fe and Zn. The major fatty acids of prunus mume flower were myristic acid, palmitoleic acid me oleic acid. As a result of analysis, there were no significant differences among the three cultivars of prunus mume flower and drying method.