• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.6
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• pp.609-616
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• 2016

This paper is proposed a customized market analysis method using SVM and collaborative filtering. The proposed customized market analysis scheme is consists of DC(Data Classification) module, ICF(Improved Collaborative Filtering) module, and CMA(Customized Market Analysis) module. DC module classifies the characteristics of on-line and off-line shopping mall and traditional markets into price, quality, and quantity using SVM. ICF module calculates the similarity by adding age weight and job weight, and generates network using the similarity of purchased item each users, and makes a recommendation list of neighbor nodes. And CMA module provides the result of customized market analysis using the data classification result of DC module and the recommendation list of ICF module. As a result of comparing the proposed customized recommendation list with the existing user based recommendation list, the case of recommendation list using the existing collaborative filtering scheme, precision is 0.53, recall is 0.56, and F-measure is 0.57. But the case of proposed customized recommendation list, precision is 0.78, recall is 0.85, and F-measure is 0.81. That is, the proposed customized recommendation list shows more precision.

• Journal of Mushroom
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• v.12 no.4
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• pp.280-286
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• 2014

King oyster mushrooms(Pleurotus eryngii) are the second biggest mushroom for exporting in Korea but their browning and soft rot is the main factors of claim during long distance transportation. Fresh king oyster mushrooms were treated with $CO_2$ at 30, 50% for 3 hours at $5^{\circ}C$ prior to storage at $20^{\circ}C$ and $5^{\circ}C$. There was no difference on respiration rate after $CO_2$ treatment. However exposure to $CO_2$ for 3h prior to MA packing maintained the firmness and delayed color(hunter L and b value) change of mushrooms during storage. Especially an incubation in high $CO_2$ at 30% significantly reduced soft rot and browning symptoms resulting in one week extension of shelf-life during storage at $5^{\circ}C$ compared to control and 50% $CO_2$ treatment.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.12 s.159
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• pp.1730-1736
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• 2006

To utilize hanji for fashion accessory efficiently, dyeability of Hanji should be improved. Though Hanji mostly consists of cellulose such as cotton and ramie, also has various impurities, and has the different internal and surface structure from textile materials. Because of them, Hanji might show different dyeing behavior. As physical properties of Hanji are reduced in wet condition, dyeing process would damage the physical properties of Hanji Therefore, in this study, dyeing properties of Hanji using direct dye were examined in comparison with cotton and ramie. Effect of dyeing on tensile strength, and bleeding of direct dye by water from Hanji, colorfastness to light were also estimated. While Hanji showed the maximun dye exhaustion at $25^{\circ}C$, cotton and ramie showed those at $60^{\circ}C$. Tensile strength of Hanji reduced after Hanji was dyed. When Hanji was dyed at $25^{\circ}C$, the more bleeding occurred than at higher dyeing temperature. Hanji which had higher K/S values were bled more than those had lower K/S value. Colorfastness to light of Hanji dyed with direct dye was not inferior to those of cotton and ramie.

• Microbiology and Biotechnology Letters
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• v.35 no.1
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• pp.66-72
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• 2007

Yam has been recognized as healthy food due to its various biological activities, such as anti-obesity, antimicrobial, anticancer and immune-stimulation activities. In this study, antibacterial activities of 800 more natural plant extracts against yam-putrefactive psychrotrophic bacterium, Pseudomonas rhodesiae YAM-12, were evaluated to select a natural preservative, which is useful to long-term storage of yam and fresh-cut production. Finally, the clove oil was selected, and applied for the production of yam fresh-cut. The 1% of clove oil treated fresh-cut showed minor color changes during 31 days storage at $4^{\circ}C$ and the microbial growth was not detected. When the artificially contaminated fresh cut by dipping with P. rhodesiae YAM-12 suspension for 3 min was treated 1% clove oil, the microbial growth was identified to $10^4$ CFU/g from $10^3$ CFU/g with minor color changes. Whereas, treatment of sterilized water, or 100 ppm NaOCl into artificially contaminated fresh cut showed severe putrefaction $(10^8\;CFU/g)$ and color changes. Considering the previous reports that clove oil has antimicrobial, antioxidation, and antithrombosis activity, the use of clove oil into the yam fresh cut will provide market safety and consumer acceptability by prevention of microbial putrefaction and its biological activity.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.12
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• pp.7459-7466
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• 2014

This study examined the purchasing behavior of cosmetics among Japanese, Chinese tourists and Koreans, as well as the differences according to nationality. Based on a literature study, a questionnaire was developed and a field survey was performed. A self-administered survey was conducted throughout Myungdong and Suwon. The 251 usable questionnaires were collected. A Reliability test, Factor analysis, Regression test, and ANOVA were used. The purchasing behavior of cosmetics has 5 factors gained by the factor analysis, including the functionality of cosmetics, the newest one of the cosmetics, brand-oriented cosmetics, impulsive purchase, and physical evidence. In addition, the purchasing behavior of cosmetics is becoming complicated, and the attitudes to cosmetics has changed. Finally, there are a few differences among Japanese, Chinese tourists and Koreans. According to this research, cosmetic companies must underline their brand and focus on managing the cosmetic functionality, physical evidence of the store, and the skill and attitudes of point of sales.

• Journal of Korean Tunnelling and Underground Space Association
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• v.20 no.1
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• pp.225-234
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• 2018

Domestic urban areas are experiencing serious traffic congestion problems due to continuous population growth and increased traffic volume. In order to solve the problem of traffic congestion, the study of great depth underground double deck tunnels using underground space is being actively carried out in the urban areas. The characteristics of great depth underground double deck tunnels are low in cross section, so the spread of fire smoke is expected to spread faster than the road tunnel in case of fire. Therefore, it is necessary to provide a fire smoke delay device which delays the spread of fire smoke when a fire occurs in a tunnels. In the previous study, the diffusion effect was analyzed according to the blocking area when the fire smoke spread delay device was operated through the 3D CFD in the study of preventing the smoke spread in the case of the tunnel fire. A study on fire smoke diffusion delay device using spring elasticity which is excellent in applicability to a tunnel and economical value is studied. In this study, fire smoke spread delay system was developed to fire smoke delay was experimentally analyzed. Fire smoke delay effect of fire smoke delay device appeared. Therefore, it is considered that the can minimize the damage of the victims when installed in the great depth underground double deck tunnels.

• Journal of KIISE:Software and Applications
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• v.30 no.7_8
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• pp.672-680
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• 2003

A shopbot is a software agent whose goal is to maximize buyer´s satisfaction through automatically gathering the price and quality information of goods as well as the services from on-line sellers. In the response to shopbots´ activities, sellers on the Internet need the agents called pricebots that can help them maximize their own profits. In this paper we adopts Q-learning, one of the model-free reinforcement learning methods as a price-setting algorithm of pricebots. A Q-learned agent increases profitability and eliminates the cyclic price wars when compared with the agents using the myoptimal (myopically optimal) pricing strategy Q-teaming needs to select a sequence of state-action fairs for the convergence of Q-teaming. When the uniform random method in selecting state-action pairs is used, the number of accesses to the Q-tables to obtain the optimal Q-values is quite large. Therefore, it is not appropriate for universal on-line learning in a real world environment. This phenomenon occurs because the uniform random selection reflects the uncertainty of exploitation for the optimal policy. In this paper, we propose a Mixed Nonstationary Policy (MNP), which consists of both the auxiliary Markov process and the original Markov process. MNP tries to keep balance of exploration and exploitation in reinforcement learning. Our experiment results show that the Q-learning agent using MNP converges to the optimal Q-values about 2.6 time faster than the uniform random selection on the average.

• Journal of Service Research and Studies
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• v.3 no.2
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• pp.75-89
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• 2013

In the services industry and firms, the successful new service development is very important issue today, But the innovation process for service firms is comprehensively little treated until now. This study was performed to suggest the new service development process model for the firms level in the perspective of the radical service innovation. So, in this paper the new process development model can be made by reviewing the concepts about the radical service innovation and by analyzing the some existing new service development process models. In the suggested service development process model, the three key process such as technology forecast, market analysis, and strategy development were included for front phase activity as the new service development process. Also the four key process for searching phase, and the other three key process for implementation phase were included. And for the application for the service firms' service innovation, the innovation's outcome estimation reference model is included. I hope to be executed the various case research and the improvement and optimization for this suggested process model in the future.

• The Journal of Society for e-Business Studies
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• v.18 no.4
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• pp.315-326
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• 2013

Users in social media post various types of opinions such as product reviews and movie reviews. It is a common trend that customers get assistance from the opinions in making their decisions. However, as opinion usage grows, distorted feedbacks also have increased. For example, exaggerated positive opinions are posted for promoting target products. So are negative opinions which are far from common evaluations. Finding these biased opinions becomes important to keep social media reliable. Techniques of opinion mining (or sentiment analysis) have been developed to determine sentiment polarity of opinionated documents. These techniques can be utilized for finding the biased opinions. However, the previous techniques have some drawback. They categorize the text into only positive and negative, and they also need a large amount of training data to build the classifier. In this paper, we propose methods for discovering the biased opinions which are skewed from the overall common opinions. The methods are based on angle based outlier detection and personalized PageRank, which can be applied without training data. We analyze the performance of the proposed techniques by presenting experimental results on a movie review dataset.

• Journal of Korea Port Economic Association
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• v.24 no.1
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• pp.61-83
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• 2008

The meaning of "added value" refers to the contribution of the factors of production, i.e., land, labor, and capital goods, to raising the value of a product and corresponds to the incomes received by the owners of these factors. The importance of added value in service industry has been recognized as one of the critical factors to economic growth, even in logistics industry. But, it is hard to find out the previous studies providing a clear definition and framework for designing and analyzing the performance of Value Added Logistics(VAL). The purpose of this study is to define the meaning of extended VAL that extensively includes activities initiating and operating the reverse logistics under the closed-loop logistic scheme, and to suggest the framework that describes the partnerships among participants involving in operating the value added logistics. Also, in this paper, we emphasize on the need for investigation of added value logistics definition and framework based on previous academic studies, and examine various value added logistics service activities of current leading 3PL companies across the world. Finally, we suggest the analytic framework for value added logistics throughout closed-loop logistics.