• Journal of Korea Technology Innovation Society
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• v.8 no.1
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• pp.135-153
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• 2005

With an explosive growth of internet and a change of consumer's demand, Post PC is emerging as a substitute for the existing desktop computer and laptop computer. Post PC is a new computer which is portable with wireless networking, cheaper than the existing PCs and specialized in the specific function that consumers want. Furthermore, the shape and the ability of Post PC are dependent on its specific function. The rudimentary Post PCs such as PDA, web-pad and smart-phone are already usable. And in the future, owing to the progress of technologies, the heterogeneity of relate companies and the low entry barrier, various Post PCs will be developed. In this paper, we analyze consumers' willingness-to-pay for Post PC with the attributes such as the portability, the speed of CPU, the data input method (using key board, or notepad etc), the size of monitor and price. To estimating consumers' willingness-to-pay for the attributes of Post PC, we apply a contingent ranking method, which makes the respondents rank hypothetical Post the portability, the speed of CPU, the data input method (using key board, or notepad etc),the size of monitor and price. To estimating consumers' willingness-to-pay for the attributes of Post PC, we apply a contingent ranking method, which makes the respondents rank hypothetical Post PC alternatives featuring various combinations of attributes, to a survey data collected in Korea. Using the estimated willingness-to-pay, we predict the shape and the ability of future's Post PC and draw policy implications for the national and company level R&D strategies.

• The Journal of the Korea Contents Association
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• v.17 no.11
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• pp.600-608
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• 2017

Recently data growth rates are growing exponentially according to the rapid expansion of internet. Since users need some of all the information, they carry a heavy workload for examination and discovery of the necessary contents. Therefore information retrieval must provide hierarchical class information and the priority of examination through the evaluation of similarity on query and documents. In this paper we propose an Multi-class support vector machines model based clustering for hierarchical document categorization that make semantic search possible considering the word co-occurrence measures. A combination of hierarchical document categorization and SVM classifier gives high performance for analytical classification of web documents that increase exponentially according to extension of document hierarchy. More information retrieval systems are expected to use our proposed model in their developments and can perform a accurate and rapid information retrieval service.

• Journal of KIISE
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• v.44 no.8
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• pp.782-790
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• 2017

The service, 'Hot Search Keywords', provides a list of the most hot search terms of different web services such as Naver or Daum. The service, bases the changes in rank of a specific search keyword on changes in its users' interest. This paper introduces a temporal modelling framework for predicting the rank change of hot search keywords using past rank data and machine learning. Past rank data shows that more than 70% of hot search keywords tend to disappear and reappear later. The authors processed missing rank value, using deletion, dummy variables, mean substitution, and expectation maximization. It is however crucial to calculate the optimal window size of the past rank data. We proposed an optimal window size selection approach based on the minimum amount of time a topic within the same or a differing context disappeared. The experiments were conducted with four different machine-learning techniques using the Naver, Daum, and Nate 'Hot Search Keywords' datasets, which were collected for 2 years.

• Journal of the Korea Computer Industry Society
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• v.8 no.4
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• pp.207-220
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• 2007

Recording to development of info-communication, recent educational paradigm asks not for a passive transmitter but an active constructor who can solve the various complicated problems in real situations. Such a change asks for the educational setting which includes sharing ideas and information rather than possessing them by themselves. Learning through presentation has many problems which are few chances of presentation as well as reusing of presentation data. etc. This study suggested the strategy which are promoting interactions through presentation class and using practically. For this, role of the presentation data provider and learner was suggested, also strategies to implement of the presentation learning support system step by step. Through the strategy of this paper could maintain the active communicating relationship between the learners. Without the limitation of the time and space, the real time communication is made while looking at the presentation data of the other party, the teaming effect by the presentation teaming strategy is expected to be high.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.11
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• pp.453-462
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• 2016

Since the Internet provides a way of expressing and sharing Internet users' mindsets, corporate marketers want to acquire measurable and actionable insights from web data. In the past, companies used to analyze the attitude, satisfaction, and loyalty of consumers toward their brands using survey data, whereas nowadays this is done using the big data extracted from Social Network Services. In this study, we propose a framework for clustering brand names using the social metrics gathered on social media. We also conduct a case study of the automobile industry to verify the feasibility of the proposed framework. We calculate the brand name distance for each pair of brand names based on the total number of times that they are mentioned together. These distances are used to project the brand name onto a 3-dimensional space using multidimensional scaling. After the projection, we found the clusters of brand names and identified the characteristics of each cluster. Furthermore, we concluded this paper with a discussion of the limitations and future directions of this research.

• 한국태양에너지학회:학술대회논문집
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• 2009.04a
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• pp.139-144
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• 2009

The generation of small hydropower as compared to other different developed environmental methods produces one of the clean energies. In such manner, various application system development through IT technique is being developed for an advanced small hydropower energy resources data mining. However, existing data analysis of New & Renewable Information System for small hydropower resources application is incomplete therefore it limits expressing these information on the Web. Thus for positive usage of small hydropower resources, a more systematic and precise analysis system should be built. This study seeks to develop a map of the domestic small hydropower resources problems to further improve small hydropower resources, developed through Package Tool which can accurately evaluate a wide range of small hydropower basin in a short period of time. Small hydropower Package Tool was calculated using existing Analysis System small hydropower resources which did not provide diverse capabilities resulting to 840 standard basin classified by A and facility capacity, etc., and to assume a 40% annual capacity, expected annual electricity production was calculated. Small hydropower for the national water system of small hydropower resources potential calculated in terms of resources for the development of small hydropower will be utilized as basic data.

• Journal of the Korean Society of School Health
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• v.31 no.1
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• pp.10-17
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• 2018

Purpose: The purpose of this study was to examine the health behaviors and health status of adolescents in multicultural families according to gender. Methods: The study used raw data of the Korean Youth Risk Behavior Web-Based Survey performed in 2016. The 12th survey was conducted on 67,983 adolescents in 400 middle schools and 400 high schools. Among them, 759 adolescents were included in this study. Their data were analyzed using descriptive statistics, $x^2$-test, and Pearson's correlation. Results: There were significant differences in economic status, smoking experience, age of drinking onset, vigorous physical activity, soft drink consumption, toothbrushing after lunch, handwashing with soap before eating at school and eating at home and after coming home, BMI, subjective health status, stress, depression, and allergic rhinitis according to gender in multicultural adolescents. For boys, significant positive correlations were found between age and the age of drinking onset, between academic achievement and economic status, and between the age of smoking initiation and the age of drinking onset. However, there were significant negative correlations between economic status and stress and between subjective health status and stress. For girls, age had positive correlations with academic achievement, the age of drinking onset, BMI, and stress and economic status had positive correlations with academic achievement, the age of smoking initiation, and subjective health status. Also, the age of smoking initiation had positive correlations with the age of drinking onset and BMI. Lastly, there were negative correlations between age and economic status, between age and subjective health status, academic achievement and the age of smoking initiation, economic status and stress, and subjective health status and stress. Conclusion: The results of this study are expected to be useful as basic data for planning health interventions for boys and girls in multicultural families.

• Spatial Information Research
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• v.21 no.1
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• pp.15-22
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• 2013

Recently, there are various attempts to construct a u-City and a smart city. A Spatial information as the city-based infrastructure has been recognized as an essential element. In many cases GIS data being lack of compatibility due to the various format, it is difficult to provide public web services and link the data between government organizations. In this study, we developed a interconnection Server based on OGC standardization to support interoperability in a heterogeneous distributed environment. we hope the interconnection server that will be utilized as u-City platform and response platform for volcanic disaster through the test in the test-bed.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.2
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• pp.136-141
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• 2004

There has been enormous growth in the amount of commercial and scientific data, such as retail transactions, protein sequences, and web-logs. Such datasets consist of sequence data that have an inherent sequential nature. However, few clustering algorithms consider sequentiality. In this paper, we study how to cluster sequence datasets. We propose a new similarity measure to compute the similarity between two sequences. We also present an efficient method for determining the similarity measure and develop a clustering algorithm. Due to the high computational complexity of hierarchical clustering algorithms for clustering large datasets, a new clustering method is required. Therefore, we propose a new scalable clustering method using sampling and a k-nearest-neighbor method. Using a real dataset and a synthetic dataset, we show that the quality of clusters generated by our proposed approach is better than that of clusters produced by traditional algorithms.

• Proceedings of the Korean Geotechical Society Conference
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• 2006.03a
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• pp.644-651
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• 2006

In general, a damage that occurs due to landslide or slope failure in urban areas is larger than that in rural areas. In order to reduce the damage, a program is necessary to categorize slopes based on properties and to manage them systematically. Based on the above necessity, a slope management program which is applicable to slope management in an urban area has been developed at Hwangryung mountain in Busan as a target area. The program has a function of systematic slope information constructed by slope ID number of each slope or sub-region of a mountain, making a slope data sheet, analysis and grouping of slope stability, and establishment of a data base. It can also be utilized practically by end users due to the convenient input, edition, printing, management and operation of slope data. For practical utilization of the developed program, a research related to construction of the slope management system for a regional area is demanded to be performed continuously. The supply and utilization of a web based slope management system would contribute to damage reduction.