• Korean journal of applied entomology
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• v.53 no.1
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• pp.73-80
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• 2014

Postharvest insect pest control is necessary for agricultural industry including domestic consumer markets and exporting products to meet quarantine issue. Especially, the organic or environmentally friendly agricultural products do not fit to the traditional chemical postharvest treatments mostly using methyl bromide. As an alternative, a physical treatment called CATTS (controlled atmosphere and temperature treatment) has been developed to control various insect and mite pests on apple and several stone fruits. This study was designed to determine the CATTS conditions to control the oriental fruit moth, Grapholita molesta, which is restricted in exporting the infested apples. To apply CATTS on this insect pest, the most heat-tolerant stage was determined. Among the immature stages locating on the fruits, the fifth instar larvae were the most tolerant to $44^{\circ}C$ for 20 min. The ramping rate (the time to increase chamber temperature from $25^{\circ}C$ to $46^{\circ}C$) was positively correlated with the CATTS efficiency under 15% $CO_2$ and 1% $O_2$. After the ramping step, the duration of CATTS was positively correlated with CATTS efficiency. In addition, the CATTS efficiency was highly dependent on the fruit internal temperature at $44^{\circ}C$. From all these parameters, we developed a standard protocol yielding 100% control efficiency of CATTS against apples infested by 4,378 larvae including 2,104 fifth instar individuals.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.1
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• pp.43-51
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• 2012

The OLS(ordinary least squares) method is widely used in hedonic housing models. One of the assumptions of the OLS is an independent and uniform distribution of the disturbance term. This assumption can be violated when the spatial autocorrelation exists, which in turn leads to undesirable estimate results. An alterative to this, spatial econometric models have been introduced in housing price studies. This paper describes the comparisons between OLS and spatial econometric models using housing transaction prices of Busan, Korea. Owing to the approaches reflecting spatial autocorrelation, the spatial econometric models showed some superiority to the traditional OLS in terms of log likelihood and sigma square(${\sigma}^2$). Among the spatial models, the SAR(Spatial Autoregressive Models) seemed more appropriate than the SAC(General Spatial Models) and the SEM(Spatial Errors Models) for Busan housing markets. We can make sure the spatial effects on housing prices, and the reconstruction plans have strong impacts on the transaction prices. Selecting a suitable spatial model will play an important role in the housing policy of the government.

• Journal of Intelligence and Information Systems
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• v.22 no.4
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• pp.87-107
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• 2016

Understanding market convergence has became essential for small and mid-size enterprises. Identifying convergence items among heterogeneous markets could lead to product innovation and successful market introduction. Previous researches have two limitations. First, traditional researches focusing on patent databases are suitable for detecting technology convergence, however, they have failed to recognize market demands. Second, most researches concentrate on identifying the relationship between existing products or technology. This study presents a platform to identify the opportunity of market convergence by using product databases from a global B2B marketplace. We also attempt to identify convergence opportunity in different industries by applying Structural Hole theory. This paper shows the mechanisms for market convergence: attributes extraction of products and services using text mining and association analysis among attributes, and network analysis based on structural hole. In order to discover market demand, we analyzed 240,002 e-catalog from January 2013 to July 2016.

• Proceedings of the Korean Society of Postharvest Science and Technology of Agricultural Products Conference
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• 2002.08a
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• pp.109-119
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• 2002

Rice production in Korea began to rise significantly after 1970. Rice is the dominant food in Korea and most of the rice production (about 95%) is consumed as cooked rice. it provides over 4,000Kj of energy per capita per day. Apparent rice availability in 2000, 93.6Kg of milled rice per person annually. The non-allergenic character of rice offers a sound basis for development of products for markets for all age groups. Whole grains are washed rice, coated rice, enriched rice in Korea. Utilization of rice as food can be categorized three categories in Korea; direct food use, processed foods, and brewing. Rice for direct consumption include regular whole grain, precooked rice, brown rice and specialty products such as aseptic cooked rice, retort cooked rice and rice burger. Rice used for processed foods includes that for cereal, soup, baby food, snack, cake, noodle, brown rice tea, and minor unclassified uses. Rice use for brewing is for the production of fermented rice wine. The use of rice for direct food is by for the greatest of the three uses. Although direct food accounts for the largest domestic consumption, a significant quantity of rice is used in processed products. The use of rice by-products as human food should not be over looked. Utilization of by products(rice germ, rice bran) requires a specialized technology. Typical type of rice is black rice. When cooked, black rice gives a black color to cooked rice. Glutinous rice performs specific functions in several commercial products such as dessert, gravis, cake and snack. Rice starch production is quite limited because of the high cost of making of starch. Rice processed products in Korea are occupied small parts of total rice production compared to Japan. Rice cake (Garadog) is the principal from of rice product consumed in Korea. Rice cake and snack is usually prepared from non-glutinous milled by washing, grinding, steaming, cooling and packaging. Rice cake will be continued to be a major rice product in Korea. Rice products represent a means to study variety differences in rice grain quality, since the processing magnifies differences not normally detected from more boiling. Recently, rice processing companies in Korea are about 400 ones which uses rice about 160,000tons. New rice processed products and modified traditional products must be developed and diversified with high quality and processing properties of rice processed products are improved.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.10
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• pp.1411-1417
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• 2010

In this study, we investigated the antioxidant and antibacterial activity of methanol extracts from 6 plants which were Chrysanthemum zawadskii Herb. var. latilobum (Maxim.) Kitamura (Gu-jeol-cho), Lavandula spica L. (Lavender), Rosmainus offcinals L. (Rosemary), Cymbopogon citrates (Lemongrass), Saussureae radix (Mok-hyang), Calendular officinalis L. (Calendular). Antioxidative effects of herbal extracts were measured by polyphenols, flavonoids contents and DPPH radical scavenging activity assay. We also evaluated the antibacterial activity against Staphylococcus aureus and Escherichia coli O157:H7. Methanol extracts from Gu-jeol-cho, lavender, rosemary and lemongrass showed high polyphenols contents as well as strong DPPH scavenging activity. In particular, rosemary extract contained highest polyphenol levels as $126.69{\pm}2.62{\mu}g/mg$ compared to other herbs. As for DPPH radical scavenging activities, $IC_{50}$ values of rosemary extracts were $6.23{\pm}0.58{\mu}g/mL$. The rosemary extracts also showed higher antibacterial effects against S. aureus and E. coli O157:H7. These results indicate that rosemary could be used as natural antioxidant and antibacterial agents.

• Journal of Intelligence and Information Systems
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• v.9 no.3
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• pp.23-47
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• 2003

Traditional studies for customer relationship management (CRM) generally focus on static CRM in a specific time frame. The static CRM and customer behavior knowledge derived could help marketers to redirect marketing resources fur profit gain at that given point in time. However, as time goes, the static knowledge becomes obsolete. Therefore, application of CRM to an online retailer should be done dynamically in time. Customer-based analysis should observe the past purchase behavior of customers to understand their current and likely future purchase patterns in consumer markets, and to divide a market into distinct subsets of customers, any of which may conceivably be selected as a market target to be reached with a distinct marketing mix. Though the concept of buying-behavior-based CRM was advanced several decades ago, virtually little application of the dynamic CRM has been reported to date. In this paper, we propose a dynamic CRM model utilizing data mining and a Monitoring Agent System (MAS) to extract longitudinal knowledge from the customer data and to analyze customer behavior patterns over time for the Internet retailer. The proposed model includes an extensive analysis about a customer career path that observes behaviors of segment shifts of each customer: prediction of customer careers, identification of dominant career paths that most customers show and their managerial implications, and about the evolution of customer segments over time. furthermore, we show that dynamic CRM could be useful for solving several managerial problems which any retailers may face.

• Korean Journal of Community Nutrition
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• v.24 no.5
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• pp.374-383
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• 2019

Objectives: This study analyzed Japanese consumers on their sauce consumption, and assessed the relationship between consumer innovativeness and consumption behavior for new sauce products. Methods: The survey was completed by local consumers visiting Korean restaurants in Osaka, Japan, in September 2018. The demographic characteristics, consumption of sauce, consumer innovativeness, and factors of theory of planned behavior were evaluated. Totally, 150 collected data were analyzed using the IBM SPSS Statistics 25.0 Program (IBM SPSS INC, Armonk, NY, USA). Results: Results of the survey indicate that Japanese consumers purchase a sauce by considering the taste and food utilization. Sauce purchases were maximum at mega markets and supermarkets. The consumer innovativeness for Japanese consumers was based on 3 factors: 'Purchasing adventurous products (3.51 ± 0.96)', 'Active information seeking (4.36 ± 1.11)', and 'Interactive information seeking (4.33 ± 1.02)', where the tendency of 'Active information seeking' was the highest innovativeness factor. Furthermore, higher values of perceived behavior control (4.68 ± 1.21), attitude (4.66 ± 1.41) and subjective norm (4.39 ± 1.28) were revealed, when assessing for theory of planned behavior factors. Correlating the variables of consumer innovation and factors of planning behavior theory, 'Active information seeking' is a positive attribute for attitude (p<0.016), subjective norm (p<0.001), and perceived behavior control (p<0.002). These 3 factors also had significantly positive effects on purchase intention for new sauce product (p<0.000, p<0.000, and p<0.002, respectively). Attitude was determined to be another very influential variable for purchase intention of a new sauce product (B=0.484, t=6.881). Conclusions: The results of this study determine the consumption patterns of sauce for the Japanese consumer, and the relationship between consumer innovativeness and consumption behavior for Korean traditional sauces. We believe the data generated from this study will help determine a marketing strategy to enter the Japanese market.

• Korean Journal of Environmental Agriculture
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• v.30 no.4
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• pp.440-445
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• 2011

BACKGROUND: This study was conducted to monitor the current status of pesticide residues and to assess their risk in domestic agricultural products. The samples were rice, barley, lettuce and perilla leaf. These four types of agricultural products were those with GAP(Good Agricultural Practice) certification, organic agricultural products, pesticide-free agricultural products or general agricultural products. METHODS AND RESULTS: They were purchased from traditional markets and supermarkets of 12 regions in Korea from July to August 2010. The total number of samples was 259 for agricultural products and these were analyzed by GC/ECD, GC/NPD and GC/MSD. We used multiresidue methods to analyze for 110 different pesticides except for herbicides. CONCLUSION: In this study, residual pesticides were detected in 18 samples. Among these general agricultural products, organic agricultural products and products with GAP-certification were detected in 12, 4 and 2 samples, respectively. Detection rates of general agricultural products, organic agricultural products and products with GAPcertification were 4.6%, 1.5% and 0.8% respectively. Pesticides were not detected in pesticide-free agricultural products. Their detection levels were less than their maximum residue levels. Their estimated daily intakes ranged from 0.0003% to 0.04302% of their acceptable daily intakes, of which the values have no effect on human health.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.8
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• pp.55-63
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• 2017

Due to spatial problems and system size,conventional measurement methods used to acquire the information needed for existing electrical energy and management have been limited to new buildings or areas where replacement is possible. This electric load management method is problematic when applying it to energy and safety management of vulnerable areas or existing homes or offices. The problem with installing a measurement module in every branch is that the system is too large. Even if the measurement module is installed, the type of load is not recognized, and efficient management is not performed. In particular, it is very difficult to apply it to traditional markets and backward facilities in Korea. In this paper, we apply NIALM technology and arc detection technology to solve these problems and verify the feasibility of NIALM for normal arc generation. Also, based on the verification results, we propose a new smart home safety management system that can effectively manage electrical safety and that can be applied to conventional market and existing home safety management systems. The proposed system conducts a comparative performance test with an existing safety management system. In addition, it achieves 95% or more load recognition for four loads, which is impossible in 40% of the existing systems, and the arc detection function was confirmed.

• Korean Journal of Food Science and Technology
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• v.48 no.5
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• pp.525-529
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• 2016

Twenty-nine pepper products commercially available in the market were collected and investigate for contamination levels. Pepper products purchased from traditional markets had a degree of contamination of $10^6-10^7CFU/g$ aerobic bacteria, $10^4-10^5CFU/g$ Bacillus sp., and less than $10^2CFU/g$ yeast and molds. Organic pepper showed a degree of contamination of $10^4$ aerobic bacteria, $10^2-10^3$ Bacillus sp., and less than $10^1$ yeast and molds. Intense pulsed light (IPL) treatment of 10 min (1,000 V, 5 pps and 4 cm sample-to-lamp distance) showed a bacterial death rate of 1.45-1.55 log for whole peppers, and of 0.8-0.85 log for black and white pepper powder. The sterilization rate using IPL was higher than that using other non-thermal sterilization methods, such as ozone treatment or low-pressure discharge plasma sterilization, indicating that the IPL sterilization method may find potential application in the industry. However, further studies may need to be conducted to enhance the effect of sterilization.