• Journal of Sensor Science and Technology
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• v.15 no.6
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• pp.433-441
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• 2006

Because of the low power and low rate of a sensor network, outlier is frequently occurred in the time series data of sensor network. In this paper, we suggest periodic pattern analysis that is applied to the time series data of sensor network and predict outlier that exist in the time series data of sensor network. A periodic pattern is minimum period of time in which trend of values in data is appeared continuous and repeated. In this paper, a quantization and smoothing is applied to the time series data in order to analyze the periodic pattern and the fluctuation of each adjacent value in the smoothed data is measured to be modified to a simple data. Then, the periodic pattern is abstracted from the modified simple data, and the time series data is restructured according to the periods to produce periodic pattern data. In the experiment, the machine learning is applied to the periodic pattern data to predict outlier to see the results. The characteristics of analysis of the periodic pattern in this paper is not analyzing the periods according to the size of value of data but to analyze time periods according to the fluctuation of the value of data. Therefore analysis of periodic pattern is robust to outlier. Also it is possible to express values of time attribute as values in time period by restructuring the time series data into periodic pattern. Thus, it is possible to use time attribute even in the general machine learning algorithm in which the time series data is not possible to be learned.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.11
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• pp.1321-1329
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• 2019

With the development of social information networks, the marketing methods are also changing in various ways. Unlike successful marketing methods based on existing celebrities and financial support, Influencer-based marketing is a big trend and very famous. In this paper, we first extract influencer features from more than 54 YouTube channels using the multi-dimensional qualitative analysis based on the meta information and comment data analysis of YouTube, model representative themes to maximize a personalized video satisfaction. Plus, the purpose of this study is to provide supplementary means for the successful promotion and marketing by creating and distributing videos of new items by referring to the existing Influencer features. For that we assume all comments of various videos for each channel as each document, TF-IDF (Term Frequency and Inverse Document Frequency) and LDA (Latent Dirichlet Allocation) algorithms are applied to maximize performance of the proposed scheme. Based on the performance evaluation, we proved the proposed scheme is better than other schemes.

• Journal of the Korean association of regional geographers
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• v.14 no.1
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• pp.54-67
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• 2008

This paper is to analyze the relationships between the factors of choice attributes and the related satisfaction focused on Domestic tourists in Jeju region. First, this paper used the structural equation model with the questionnaires to investigate the attributes affecting the visitors' satisfaction and service value. In conclusion, the attribute factors influencing service value and the visitors' satisfaction are 'equipment and convenience' and 'culture and leisure'. Also, this paper presents that the 'foods' factor is affecting re-visit and others' recommendation through the mediation of satisfaction factor.

• Journal of Environmental Impact Assessment
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• v.3 no.2
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• pp.57-67
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• 1994

The National Park should be preserved as described in the regulation. However, the development has resulted in degrading the environment in the park. Especially, the collective facility area has been developed for the commercial benefit rather than for the preservation. So, it is necessary to figure out the impact of the development plan proposed. Thus, the purpose of this study is to explore the hydrologic effects due to the collective facility area development in the National Park. The study site is the second collective facility area of Mt. Kyeryong National Park. The analysis of hydrologic effects due to the development has been carried out using the GIS in this study. The Rational Method and Soil Conservation Service(SCS) were used to estimate the runoff volume. During this procedure, GIS software, ARC/INFO was used to integrate, manipulate, and calculate the attribute value of a number of ploygons which represen each land use characteristic. A program was written to compute the attribute value of each polygon and to estimate the difference of peaktime runoff volume before and after development.

• Korean journal of food and cookery science
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• v.27 no.6
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• pp.773-781
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• 2011

Coffee beans are processed from coffee cherries by either natural, pulped natural, or washing. The aim of the present study was to evaluate the physiochemical and sensory characteristics of espresso coffees processed by different methods. The color of the washed coffee sample presented the highest value of lightness while the natural coffee sample presented the highest value of redness and yellowness. The biggest difference in brewed coffee, whether natural, pulped natural, or washed, was in the TDS content, which was higher in natural coffee and lower in washed coffee. Sensory descriptive analysis and acceptance test for espresso coffee using a 15 cm line scale were carried out by 12 trained panelists. Natural coffee had the highest cherry-like flavor and sweetness taste while washed coffee had the highest citrus flavor and acidity taste. An important attribute of espresso coffee is body, and natural coffee presented strong body while washed coffee presented a low body attribute. In conclusion, significant differences were observed among the three processing methods of green coffee. Pulped natural coffees presented intermediate physiochemical and sensory characteristics compared to washed and natural coffee. Natural coffees are appreciated for their increased body, and washed coffees are appreciated for added citrus flavors and acidity espresso coffee blends.

• Culinary science and hospitality research
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• v.23 no.1
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• pp.58-65
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• 2017

This study performed to test the effect of food neophobia on the formulated model on the relationships among perceived service attributes(food, employee, and physical attributes), brand trust, satisfaction and behavioral intention as perceived by franchise snack bar consumers. Total 299 respondents were used for statistical analysis and SPSS 21.0 and AMOS 21.0 program were employed. The findings of current study verified that food attribute among perceived service attributes has positively influence on brand trust and satisfaction, and the employee attribute has only effect on the brand trust. Additionally, the brand trust was critical predictor of satisfaction, but it was not significant antecedent of behavioral intention in context of franchise snack bar restaurant. Furthermore, this study found the moderating effect according to level of food neophobia on the designed hypothesizes, so it has been identified the importance of people's propensity about food neophobia can significantly effect on brand trust and satisfaction in franchise snack bar restaurant. These findings will contribute to provide meaningful suggestion to develop marketing strategic in franchise snack bar business as well as provide the theoretical evidence in the new segmentation.

• Journal of the Korean Home Economics Association
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• v.36 no.5
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• pp.29-46
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• 1998

This study investigates how the consumers utilize the elements of information search and how consumers are satisfied with them. For this study, drives who have bought their own cars in two years were chosen for subjects of investigation. And samples were interviewed with an organized questionaire from July 8 to July 27, 1996. 300 samples were used for the final analysis. The major results from this study are as follows. 1) In general information search, consumers get a great deal of information from a talk their friends, neighbors, or colleagues, and they obtain information from an experienced person or a professional. In using sources of information search, they made the best use of their experiences, which is the sources of internal information, and for the second, they used advertising and the explanation of a salesman. In using the contents of information search, they made the best use of information about the merits and demerits in each attribute. In using the method of information search, the mixed search 1 method was used the most, and the attribute search method was used. 2) The casual relationship between the general satisfaction for the products and the relative variable was investigated. An age, the time pressure, the information of the products had a direct and indirect influence on the general for the products. The perceived risk, the number of inquiring activity, a shop and the buying method had a direct influence on the general for the products. An indirect influence was showed in the general satisfaction for the products through the medium of inquiring activity, a shop, and buying method.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.20 no.1
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• pp.66-73
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• 2010

Vehicles experience the impact due to harsh road conditions. Contact with a barrier on a road induces vehicles to vibrate, which brings about an impact sound. The attenuation of the impact sound is an important issue since passengers may complain about the impact noise. However, the perfect removal of impact noise is not possible as most of impact noise is caused by external conditions. It is thus necessary to make vehicles to possess more desirable sound quality characteristic of impact sound. More research is needed on objective attributes of impact sound; it is not a simple matter since impact noise is transient in nature and has a high level of sound at an instantaneous moment. A new objective attribute of impact noise is designed by using wavelet transform. Wavelet transform is appropriate for the analysis of transient signals such as impact noise. The usefulness of new objective attribute, which is a sound metric, is examined by comparison with the mean subjective rating for real impact noise of passenger cars. The new sound metric has better correlation with the mean subjective rating than already existing sound metrics

• Journal of Korean Society for Quality Management
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• v.46 no.2
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• pp.259-268
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• 2018

Purpose: SIT(Systematic Inventive Thinking) has been widely used in recent years. The validity of the five thinking tools of SIT is examined, and how to improve the inventive thinking tools is investigated. Methods: Frequency analysis on the usage of the TRIZ 40 inventive principles was used. Inventive thinking tools are derived by eliminating principles with low frequencies and grouping similar principles together. Results: Segmentation, prior action, combining, extraction, cushion in advance, transformation of properties are most frequently used among the 40 principles of TRIZ. The most frequently used principles and similar principles with them are grouped into new inventive thinking tools. Two of them, division and attribute dependency, belong to the 5 thinking tools of SIT, and the others, proactive measures, combination and reversal, do not. Conclusion: The newly identified inventive thinking tools are division, combination, proactive measures, attribute dependency, and reversal. The new five inventive thinking tools are quite efficient since they can cover more than two thirds of the TRIZ 40 inventive principles.

• Knowledge Management Research
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• v.15 no.3
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• pp.169-188
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• 2014

Big data seems to change knowledge management system and method of enterprises to large extent. Further, the type of method for utilization of unstructured data including image, v ideo, sensor data a nd text may determine the decision on expansion of knowledge management of the enterprise or government. This paper, in this light, attempts to figure out the prediction model of demands and supply for big data market of Korea trough data mining decision making tree by utilizing text bit data generated for 3 years on web and SNS for expansion of form for knowledge management. The results indicate that the market focused on H/W and storage leading by the government is big data market of Korea. Further, the demanders of big data have been found to put important on attribute factors including interest, quickness and economics. Meanwhile, innovation and growth have been found to be the attribute factors onto which the supplier puts importance. The results of this research show that the factors affect acceptance of big data technology differ for supplier and demander. This article may provide basic method for study on expansion of analysis form of enterprise and connection with its management activities.