• Journal of KIISE
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• v.44 no.8
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• pp.803-812
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• 2017

T-commerce is technology-fusion service on which the user can purchase using data broadcasting technology based on bi-directional digital TVs. To achieve the best revenue under a limited environment in regard to the channel number and the variety of sales goods, organizing broadcast programs to maximize the expected sales considering the selling power of each product at each time slot. For this, this paper proposes a method to predict the sales of goods when it is assigned to each time slot. The proposed method predicts the sales of product at a time slot given the week-in-year and weather of the target day. Additionally, it combines a statistical predict model applying SVD (Singular Value Decomposition) to mitigate the sparsity problem caused by the bias in sales record. In experiments on the sales data of W-shopping, a T-commerce company, the proposed method showed NMAE (Normalized Mean Absolute Error) of 0.12 between the prediction and the actual sales, which confirms the effectiveness of the proposed method. The proposed method is practically applied to the T-commerce system of W-shopping and used for broadcasting organization.

• Journal of Korean Society of Transportation
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• v.28 no.1
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• pp.135-142
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• 2010

The convenient techniques for predicting the bus arrival time have used the data obtained from the buses belong to the same company only. Consequently, the conventional techniques have often failed to predict the bus arrival time at the downstream bus stops due to the lack of the data during congestion time period. The primary objective of this study is to overcome the weakness of the conventional techniques. The estimation model developed based on the data obtained from Bus Information System(BIS) and Bus management System(BMS). The proposed model predicts the bus arrival time at bus stops by using the data of all buses travelling same roadway section during the same time period. In the tests, the proposed model had a good accuracy of predicting the bus arrival time at the bus stops in terms of statistical measurements (e.g., root mean square error). Overall, the empirical results were very encouraging: the model maintains a prediction job during the morning and evening peak periods and delivers excellent results for the severely congested roadways that are of the most practical interest.

• The Journal of the Korea Contents Association
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• v.22 no.6
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• pp.530-540
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• 2022

The aim of this study was to analyze the impacts of perceived economic instability on drinking frequency in the mist of exercising the strong social distancing in the early phase of COVID19 pandemic. The data were collected from 1,117 adults aged between 19 and 70 across the nation from May 13 to May 19 in 2020 by Embrain, an on-line research company. We used only 820(73.4%) out of 1,117 who answered that they had a drinking in 2020. Bi-variate analysis and multivariate multinomial logistic regression were performed using STATA16. Multinomial logistic regression results showed that the increase of employment instability was related to the increase of drinking frequency, whereas the increase of income instability was related to the decrease of drinking frequency. In sum, the impact of perceived economic instability during the early phase of pandemic may be presented as an increase or decrease of drinking frequency depending on the effect of employment instability and income instability.

• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.59 no.1
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• pp.35-43
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• 2023

Sensory evaluation of shucking pressure, pressure holding time, seeding method, difference in full shucking rate in the aquaculture area and shucking oyster was performed using an ultra-high pressure oyster shucking machine. The reaching time for each target pressure is 2.2-2.4 MPa/sec in the range of 180 MPa to 240 MPa. had a rate of pressure rise. There was a difference of 0.5-1.7℃ in the range of 24-27℃ in the seawater temperature before and after the pressure treatment inside the pressure vessel, but there was no specific increase or decrease in seawater temperature. When only the shucking pressure is increased without the pressure holding time, the critical shucking pressure at which the oyster shell is opened and the flesh is peeled in the range of 200 to 220 MPa. When the critical shucking pressure is reached, the oyster sample in the closed vessel is expected to be shucked by about 40%. If there is no pressure holding time when judged only by full shucking, an increase in pressure of about 1.5 MPa is required to further shuck 3% of the oyster population. The oyster samples cultivated in the south coast of Korea were subject to full shucking under the conditions of 220 MPa shucking pressure and two minutes (120 seconds) of pressure holding time, and the difference in the pressure of the oysters according to the oyster seeding method and the farming area was minute. Finally, the condition of 220 MPa of shucking pressure and three minutes of pressure holding time was the best at 1.52 when the result of the sensory evaluation performed manually was set to 1.0. Next was 1.4 under the conditions of 220 MPa of shucking pressure and one minute of pressure holding time (60 seconds), and 1.3 under the condition of 220 MPa and two minutes of pressure holding time (120 seconds). Therefore, it is considered that the most desirable shucking conditions, considering the efficiency and sensory evaluation results, are the conditions of 220 MPa shucking pressure and two to three minutes of pressure holding time.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.5
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• pp.750-756
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• 2010

This study was performed to examine the shelf life and qualities of wet noodle with Morus alba L. root and Curcuma aromatica extracts (MCE) during storage at $4^{\circ}C$. Lightness and redness of wet noodle were decreased with increasing amounts of MCE added in noodle while yellowness was increased. The viable cell and molds count of wet noodle with MCE was reduced about 1~2 log cycle as compared with control during storage time. Also the TBARS (thiobarbituric acid reactive substance) value of wet noodle with MCE was lower than that of control. Hence the wet noodle with MCE has shown remarkable antioxidation effect. In sensory evaluation, the wet noodle containing the ratio of 2.5:0.02 of M. alba : C. aromatica was preferred than the control. From these results, the addition of 2.5% of M. alba and 0.02% of C. aromatica extracts in wet noodle had a good effect on improvement of preservation and development of quality.

• Journal of the Korean Society of Food Science and Nutrition
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• v.39 no.6
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• pp.887-893
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• 2010

This study examined the shelf-life and quality characteristics of the wet noodle added with the Acanthopanax senticosus and Eucommia ulmoides extract (AEE). The wet noodle with AEE reduced total microbial counts and TBARS value compared with the control during storage at $4^{\circ}C$ for 21 days. Moisture content of the wet noodle with AEE and control was not different during the early storage period, but after 9 days of storage, that of the control was decreased about 7%, while that of the noodle with AEE was decreased slightly. Lightness of the wet noodle with AEE showed low value in uncooked and cooked noodles compared with the control and decreased during storage. The pH and texture of the wet noodle with AEE and control did not change during storage at $4^{\circ}C$ for 21 days. In sensory evaluation, texture, soup smell and springiness of the wet noodle with AEE were preferred than the control. These results suggested that the AEE can keep the quality characteristics and increase the shelf-life in the wet noodle.

• Journal of Energy Engineering
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• v.25 no.4
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• pp.93-102
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• 2016

Vehicle-to-Grid (V2G) system, bi-direction power trading technology, enables drivers possessing electric vehicle to sell the spare electricity charged in the vehicle to power distribution company. The drivers gain profit by charging electricity in the day time of high electricity rate. In this regard, the government is preparing the policies of building and supporting V2G infrastructure and demanding the potential consumers' preference for the V2G system. This paper attempts to analyze the consumers' preference using the data from obtained a survey of randomly selected 1,000 individuals. To this end, choice experiment, an economic technique, is employed here. The attributes considered in the study are residual amount of electricity, electricity trading hours, required plug-in time, and price measured as an amount additional to current gasoline vehicle price. The multinomial logit model, which requires the assumption of 'independence of irrelevant alternatives', is applied but the assumption could not be satisfied in our data. Thus, we finally utilized nested logit model which does not require the assumption. All the parameter estimates in the utility function are statistically significant at the 10% level. The estimation results show that the marginal willingness to pay (MWTP) for one hour increase in electricity trading hours is estimated to be KRW 1,601,057. On the other hand, a one percent reduction in residual amount of electricity and one hour reduction in required plug-in time in V2G system are computed to be KRW -91,911 and -470,619, respectively. The findings can provide policy makers with useful information for decision-making about introducing and managing V2G system.