• Culinary science and hospitality research
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• v.17 no.2
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• pp.1-17
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• 2011

The purpose of this study is to make an evaluation on menu selection and satisfaction levels of the tourists who visit Korean restaurants in Busan. This study aims to propose general, strategic plans for improving the menu quality management of Korean restaurants in the future and find out measures to make restaurant users satisfied and revisit. A survey was conducted on ordinary people who had visited Korean restaurants in tourist hotels in Busan. A total of 310 copies of questionnaire were distributed to them from September 1 to 30, 2008. The SPSS/PC+ for Window 12.0 was used for data processing and analysis. As a result, it was found that selection attributes of Korean restaurant menu had an effect on customer satisfaction and revisit intention, and the most influential factors were health and menu designs. These days, people are getting more interested in keeping in shape with the Well-being trend. Such a modern trend is an important factor when selecting menu items. Therefore, when menu management is considered, health-related factors need to be considered more than anything else. In addition, various and unique menu items need to be designed to draw people's curiosity and make customers revisit.

• International Commerce and Information Review
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• v.15 no.4
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• pp.437-454
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• 2013

The information exchange becomes active in the online due to the rapid development of the Internet over the various fields. It is the tendency that it acquires not only information related to the on-line related to the off line depended on the traditional oral tradition but also information in the on-line. It is the competitive environment of the hospital more competitive over the time. The felt feeling for the hospital to the consumer plays the important role as to the assessment of hospital and choice. It is very the critical matter whether it approaches the consumer to any kind of way through the on-line information transfer, and the inappropriate feeling can be caused. That is, it can install whether any kind of point about one will be embossed through the e-business marketing, and the evaluation or useful feeling for choice can be caused in the hospital to the medical consumer in being the critical matter. This research compared and analyze the results expected with the Samsung Seoul Hospital, which was most active and uses the e-business marketing among the major hospital put through in the utilization by marketing view as the domestic Big 5 Severance hospital, and feature of SNS channels of Sungmo Hospital through the case analysis. How it tried to present each channels the individual, or, the strategic frame about the unificational it utilized and can maximize the marketing result and implication according to the marketing activity purpose and direction.

• KIPS Transactions on Software and Data Engineering
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• v.7 no.4
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• pp.129-134
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• 2018

Recently, the artificial neural network (ANN) model is a promising technique in the prediction, numerical control, robot control and pattern recognition. We predicted the outside temperature of greenhouse using ANN and utilized the model in greenhouse control. The performance of ANN model was evaluated and compared with multiple regression model(MRM) and support vector machine (SVM) model. The 10-fold cross validation was used as the evaluation method. In order to improve the prediction performance, the data reduction was performed by correlation analysis and new factor were extracted from measured data to improve the reliability of training data. The backpropagation algorithm was used for constructing ANN, multiple regression model was constructed by M5 method. And SVM model was constructed by epsilon-SVM method. As the result showed that the RMSE (Root Mean Squared Error) value of ANN, MRM and SVM were 0.9256, 1.8503 and 7.5521 respectively. In addition, by applying the prediction model to greenhouse heating load calculation, it can increase the income by reducing the energy cost in the greenhouse. The heating load of the experimented greenhouse was 3326.4kcal/h and the fuel consumption was estimated to be 453.8L as the total heating time is $10000^{\circ}C/h$. Therefore, data mining technology of ANN can be applied to various agricultural fields such as precise greenhouse control, cultivation techniques, and harvest prediction, thereby contributing to the development of smart agriculture.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.1
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• pp.35-44
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• 2020

The purpose of this study is to elaborate the request for proposal (RFP) for the localization parts development support project of core parts carried out by the Defense Agency for Technology and Quality. The RFP is the most important document throughout the localization parts project, including project announcement and developer selection, design and test of the development product, final evaluation, and standardization of the project. However, if the RFP is not established at the beginning of the project, there is an increased risk of business failure due to frequent changes by various reasons. In this study, we recognized the necessity of elaboration of RFP and applied the AHP method for quantitative elaboration. Eight requirements of the RFP related to the mechanical/electrical performance of localized development products and three elaboration methods for each requirement were designed in a hierarchical structure, and each weight was calculated by applying the 5-point scale AHP method. The AHP survey was conducted with 20 developers participating in the localization parts project, and the consistency ratio of the AHP survey result was less than 0.1. The elaboration method with the highest value among the calculated weights is classified, and the analysis results and future research directions of the elaboration method are presented.

• Journal of Internet Computing and Services
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• v.17 no.6
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• pp.53-59
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• 2016

Recently, huge stream data have been generated in real time from various applications such as wireless sensor networks, Internet of Things services, and social network services. For this reason, to develop an efficient method have become one of significant issues in order to discover useful information from such data by processing and analyzing them and employing the information for better decision making. Since stream data are generated continuously and rapidly, there is a need to deal with them through the minimum access. In addition, an appropriate method is required to analyze stream data in resource limited environments where fast processing with low power consumption is necessary. To address this issue, the sliding window model has been proposed and researched. Meanwhile, one of data mining techniques for finding meaningful information from huge data, pattern mining extracts such information in pattern forms. Frequency-based traditional pattern mining can process only binary databases and treats items in the databases with the same importance. As a result, frequent pattern mining has a disadvantage that cannot reflect characteristics of real databases although it has played an essential role in the data mining field. From this aspect, high utility pattern mining has suggested for discovering more meaningful information from non-binary databases with the consideration of the characteristics and relative importance of items. General high utility pattern mining methods for static databases, however, are not suitable for handling stream data. To address this issue, sliding window based high utility pattern mining has been proposed for finding significant information from stream data in resource limited environments by considering their characteristics and processing them efficiently. In this paper, we conduct various experiments with datasets for performance evaluation of sliding window based high utility pattern mining algorithms and analyze experimental results, through which we study their characteristics and direction of improvement.

• Journal of the Korean GEO-environmental Society
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• v.20 no.5
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• pp.5-12
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• 2019

On November 15, 2017, a unpredictable liquefaction damage was occurred at the $M_L=5.4$ Pohang earthquake and after, many researches have been conducted in Korea. In Korea, where there were no cases of earthquake damage, it has been extremely neglectable in preparing earthquake risk maps and building earthquake systems that corresponded to prevention and preparation. Since it is almost impossible to observe signs and symptoms of drought, floods, and typhoons in advance, it is very effective to predict the impacts and magnitudes of seismic events. In this study, 14,040 borehole data were collected in the metropolitan area and liquefaction evaluation was performed using the amplification factor. Based on this data, liquefaction hazard maps were prepared for ground accelerations of 0.06 g, 0.14 g, 0.22 g, and 0.30 g, including 200years return period to 4,800years return period. Also, the correlation analysis between the earthquake acceleration and LPI was carried out to draw a real-time predictable liquefaction hazard map. As a result, 707 correlation equations in every cells in GIS map were proposed. Finally, the simulation for liquefaction risk mapping against artificial earthquake was performed in the metropolitan area using the proposed correlation equations.

• Journal of the Society of Disaster Information
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• v.15 no.3
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• pp.418-426
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• 2019

Purpose: After analyzing the seismic capability of low-rise RC grid structures with insufficient seismic performance, the purpose of the project is to install steel slab hysteretic dampers (SSHD) to improve the seismic performance of beams and columns, and to suggest measures to minimize damage to the structure and human damage when an earthquake occurs. Method: The evaluation of the seismic performance of a structure is reviewed based on the assumption that the seismic performance is identified for the grid-type subway systems that are not designed to be seismic resistant and the installation of an SSHD system, a method that minimizes construction period, if insufficient, is required. Result: After the application and reinforce of structure with SSHD, and the results of eigenvalue analysis are as follows. The natural periodicity of longitudinal direction was 0.55s and that of vertical direction was 0.58s. Conclusion: As results of cyclic load test of structure with SSHD, the shear rigidity of damper is 101%, the energy dissipation rate is 108% and, plastic rotation angle of all column and beam is satisfied for $I_o$ level and therefore it is judged that the reinforce effect is sufficient.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.629-639
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• 2018

In this study, the application of the single beam echosounder and multi beam echosounder was analyzed for the Youngsan river, from the Juksanbo to the Juksan bridge, length of 840m, width 230m and area $0.16km^2$. A single beam echosounder and a multi beam echosounder are mounted on an USV (Unmanned Surface Vessel), and each data is acquired. Then, TIN (Triangular Irregular Network) is created and the grid depth of 10m intervals is extracted. The grid depth of the single beam echo sounder and the grid depth of the multi beam echo sounder were overlapped to compare the two data. As a result of analysis using 5,024 data, the mean depth difference was 0.0319m and the standard deviation was 2.4095m. The river bed shape was similar to each other. If the multi-beam echo sounder is regarded as the standard, the volume difference of the stream is $161,882m^3$. With a multi-beam echo sounder installed, the operating distance increased by approximately 55% to 4595.85m, and the operating time increased by approximately 59% to approximately 47%.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.1
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• pp.102-110
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• 2019

The shipbuilding and offshore plant industry of Korea is important and leads Korea's economic growth, designated as the 1st to 4th export items in Korea in terms of export contribution over the period from 2011 to 2015. This study proposes ways to improve the national competitiveness of Korean shipyards in the global offshore drilling market by reviewing a business model for providing an integrated offshore drilling commissioning service in Korea. This commissioning service model, which was attempted in 2014, was reviewed, and a new proposed business model for overcoming the limitations of the previous model and activating further business was evaluated. As a result of an economic evaluation, it was found that a 150-meter water depth model is economically more effective. As the number of integrated commissions increased from 2 to 5 times per year, NPV, IRR and B/C ratios increased and the fee per use decreased. Therefore, for offshore drilling facilities constructed and delivered in Korea, it will be necessary to encourage integrated offshore commissioning.

• Journal of the Society of Cosmetic Scientists of Korea
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• v.47 no.2
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• pp.93-98
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• 2021

This study aims to find a discriminatory way that can lower the dependence on imports of aroma essential oils and increase the value of herb plants that are growing in domestic demand and cultivation. To this end, through a study that analyzes and reproduces fragrance components without damaging the original material of domestically grown lavender flowers using the SPME method, we are trying to confirm the difference in fragrance composition from lavender essential oil and find the fragrance originality of domestically grown herb plants. A total of 38 kinds of lavender essential oils and 27 kinds of lavender flowers were analyzed as fragrance ingredients, Among them, the common ingredients were myrcene, d-limonene, 1,8-cineol, ocimene, p-cymene, α-terpinolene, camphor, linalool, linalyl acetate, bornyl acetate, 4-terpineol, and a-terpineol. In addition, among the fragrance components of the two samples, it was confirmed that the type and content of allergens of domestically cultivated lanvender flowers were low. As a result of the sensuality evaluation of 15 panels, domestic cultivated lavender flower reproduction scent was higher in favor of lavender essential oil, which has been used in the industry until now. It is also believed that lavender fragrance, which lowers the content of allergy-causing ingredients, can expand industrialization.