• Journal of Food Hygiene and Safety
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• v.26 no.4
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• pp.308-314
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• 2011

This study surveyed and compared the temperatures established in display stands and food surfaces for cold and frozen foods in large discount stores in Korea. The temperatures established in display stands for cold food ranged with $3.5{\pm}1.8^{\circ}C$ as mean, minimum and maximum were $0^{\circ}C$ and $7^{\circ}C$. However, the surface temperatures of cold food on sale ranged with $10.7{\pm}2.9^{\circ}C$ as a mean, minimum $4.6^{\circ}C$ and maximum $18.4^{\circ}C$. Totally, the surface temperature of cold food on sale was $7.2^{\circ}C$, as a mean, higher than established in display stands for cold food in large discount stores in Korea. 53% of the surveyed cold foods were more than $10^{\circ}C$ in surface temperature and only 47% was less than $10^{\circ}C$. The differences between temperatures were lowest in fruits, salads and vegetables, but highest in milk products. On the other hand, the temperatures established in display stands for frozen food showed a range with $-20.7{\pm}1^{\circ}C$ as a mean. However, the surface temperatures of frozen food on sale showed a range with $-15.4{\pm}5^{\circ}C$ as a mean, minimum $-28^{\circ}C$ and maximum $-4.6^{\circ}C$ (included defrosting). The surface temperatures of frozen food, frozen meats, frozen processed foods and ice creams were $-13.8^{\circ}C$, $-15.9^{\circ}C$, and $-16.8^{\circ}C$, respectively. Only 32.3% of surveyed frozen foods showed less than $-18^{\circ}C$ in surface temperature. In conclusion, the temperatures established on cold and frozen food display stands were less than those of cold and frozen food surfaces on sale. There was also much variation in food surface temperatures during cold and frozen food storage and sales. Therefore, a temperature management system technology use at the distribution level for cold and frozen foods will be developed.

• International Journal of Aeronautical and Space Sciences
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• v.13 no.2
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• pp.260-265
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• 2012

Satellite devices for fine attitude control of the Science & Technology Satellite-2 (STSAT-2). Based on the mission requirements of STSAT-2, the conventional analog-type sun sensors were found to be inadequate, motivating the development of a compact, fast and fine digital sun sensor (FDSS). The FDSS uses a CMOS image sensor and has an accuracy of less than 0.03degrees, an update rate of 5Hz and a weight of less than 800g. A pinhole-type aperture is substituted for the optical lens to minimize its weight. The target process speed is obtained by utilizing the Field Programmable Gate Array (FPGA), which acquires images from the CMOS sensor, and stores and processes the image data. The sensor accuracy is maintained by a rigorous centroid algorithm. This paper describes the FDSS designs, realizations, tests and calibration results.

• 한국데이터정보과학회:학술대회논문집
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• 2004.10a
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• pp.115-124
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• 2004

Data mining is the method to find useful information for large amounts of data in database. It is used to find hidden knowledge by massive data, unexpectedly pattern, relation to new rule. The methods of data mining are association rules, decision tree, clustering, neural network and so on. Association rule mining searches for interesting relationships among items in a given large data set. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule, support and confidence and lift. We analyze Gyeongnam social indicator survey data using association rule technique for environmental information discovery. We can use to environmental preservation and environmental improvement by association rule outputs.

• Journal of Distribution Research
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• v.9 no.1
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• pp.1-24
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• 2004

As the dot-com companies realize the importance of the traditional business operations such as product distribution and sourcing, the task of balancing business strategy and operations between electronic commerce and"bricks St mortar"channels is an ongoing challenge. However, there are no generic recipes for formulating business strategy that optimally bridges the physical and virtual operations. In order to provide some guidelines, this study examines the big 3 retailers in Korea, and their"clicks ＆ mortar"strategy, assessing how the activities of each channel are integrated to achieve the synergy effect. This study analyzes the differences in the pattern of integration among the three retailers and traces the causes of those differences. It also figures out the relationship between the degree of integration and performance variables such as growth and cost. Finally. it defines the essential constraints on the process of integration along with managerial implications.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.197-203
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• 2006

Association rule mining searches for interesting relationships among Items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. If there is many item in the association rule, much time is required. Xiong(2004) studies new method which is to compute the support of upper. They used support of upper to the $\theta$. But $\theta$ is subjective. In this paper, we present statistical objective criterion for efficiently identifying correlated pairs.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.145-151
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• 2006

Association rule mining searches for interesting relationships among items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. Association rule is an interesting rule among purchased items in transaction, but the negative association rule is an interesting rule that includes items which are not purchased. Boolean Analyzer is the method to produce the negative association rule using PIM. But PIM is subjective. In this paper, we present statistical objective criterion in negative association rules using Boolean Analyzer.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.51-57
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• 2006

Association rule mining searches for interesting relationships among Items in a given database. Association rules are frequently used by retail stores to assist in marketing, advertising, floor placement, and inventory control. There are three primary quality measures for association rule support and confidence and lift. In this paper we present association rule mining based antecedent variables. We call these rules to antecedent association rules. An antecedent variable is a variable that occurs before the independent variable and the dependent variable. For example, in politics, a special interest group may want to support a politician who backs their cause. The group would look for a candidate who supports their views and support his election. Once in office, the politician would then conduct policy that supports the interest group.

• Proceedings of the KIEE Conference
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• 1998.07g
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• pp.2293-2295
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• 1998

In this paper, an improved on-line neural network model is suggested. This neural network is designed to store and recall sequence of key strokes in on-line. The network stores incoming patterns as weight connections between series of layers. The layer has a 2-dimensionally distributed neurons where the location of neurons are relevant to the actual location of computer keyboard. To store longer patterns, the network has circulating layer connections and different patterns can be superposed on the same layer. Also, when the patterns are stored over the layers, the starting layer is not fixed but changed by the characteristics of Patterns to increases network capability. The ways how to choose the starting layer during the store and recall process are investigated.

• Korean Chemical Engineering Research
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• v.61 no.4
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• pp.584-590
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• 2023

In this study, we focus on the recycling of cardboard waste and sugarcane bagasse (SCB) for the preparation of carboxymethyl cellulose (CMC) and its conversion into a biodegradable film. Sodium alginate (SA) was added to form a biodegradable composite film. SA was used to increase film permeability. Glycerol, which is a plasticizer, was used to increase the tensile strength (TS) and film expansion. To characterize the CMC, X-ray diffraction, Fourier transform infrared spectroscopy, and scanning electron microscopy were used. The addition of olive oil to the CMC-SA matrix highlighted its antimicrobial property against Escherichia coli (E. coli) and Staphylococcus aureus (S. aureus). A slight decrease in tensile strength was observed with the addition of olive oil (OO), which improved the functional properties of the control films as well as lowered moisture content and water solubility. But considering all other factors, the composite films obtained from sugarcane bagasse and cardboard waste incorporated with olive oil are suitable for applications in the field of food packaging.

• Culinary science and hospitality research
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• v.19 no.4
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• pp.161-175
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• 2013

This study investigates the impact of the attributes of the eco-friendly agricultural products traceability system on perceived value and behavioral intention. Empirical subjects are those who live in Seoul and Gyeonggi province, over the age of 20 and have experience of buying eco-friendly agricultural products though department stores, discount stores and specialized eco-friendly product stores. After distributing 550 copies of questionnaire from April 10th, 2013 to May 9th, 2013, 470 copies(85.5%) are used for a final statistical analysis of the survey after excluding the copies with biased opinions or missing values. The results of this study show sufficient theoretical base for future research by verifying a causal relationships between the attributes of eco-friendly agricultural products traceability system such as reliability, safety and innovation, and consumers' perceived value and behavioral intention. Therefore, producers should correctly record producing history base so that consumers can continue to use the system. The traceability system can not only satisfy consumers by enhancing transparent management and producing systems for eco-friendly products but also guarantee us to eat all products we get without worries.