• Journal of Korean Society of Transportation
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• v.26 no.3
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• pp.223-232
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• 2008

It can be expected, recently, that the traffic congestion grows worse because the 48% of passenger cars are concentrated in the metropolitan area. However, there is an enforcement regulation that must limit onsite parking lot establishment in some downtown, so it is forecasted that parking lot supply is insufficient. Therefore, this study concentrate upon the subject that solves the problem which drivers are difficult to find parking lots because of increasing demand for parking. This study includes the concept about walking distance because the choice of parking lots is happened within walking distance. The algorithm of this study applies to toy-network, and then this study analyze the result of toy-network. It is proper to consider user's preference because the patterns of choice are different. Moreover, this study suggests the vision that will can offer drivers more correct information by real time information sharing in course of ubiquitous age.

• Journal of Digital Convergence
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• v.13 no.8
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• pp.59-67
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• 2015

As online game addiction of youth becomes a serious social problem, various regulations restricting their game play have been introduced. However, it is considered that forced shut-down, selective shut-down, and other regulations have no effect, and theoretical debates about the necessity of regulations also continue. Therefore, this study theoretically re-examines the necessity of youth game regulations by the discussion on domestic and international policy trends and existing research. In order to confirm empirical evidence of the effectiveness of regulations, this study compares and analyses the change of youth's game play time and patterns before and after the regulations. According to the results, the effect of the regulations is inadequate so this study proposes reasonable improvement ways of them through convergent approach including legal, political, and technological perspective.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.3
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• pp.217-222
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• 2015

Clustering is one of important data mining techniques known as exploratory data analysis and is being applied in various engineering and scientific fields such as pattern recognition, remote sensing, and so on. The method organizes data by abstracting underlying structure either as a grouping of individuals or as a hierarchy of groups. Weather radar observes atmospheric objects by utilizing reflected signals and stores observed data in corresponding coordinate. To analyze the radar data, it is needed to be separately organized precipitation and non-precipitation echo based on similarities. Thus, this paper studies to apply clustering method to radar data. In addition, in order to solve the problem when precipitation echo locates close to non-precipitation echo, fuzzy logic based clustering method which can consider both distance and other properties such as reflectivity and Doppler velocity is suggested in this paper. By using actual cases, the suggested clustering method derives better results than previous method in near-located precipitation and non-precipitation echo case.

• Journal of Educational Research in Mathematics
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• v.23 no.2
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• pp.269-284
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• 2013

The aim of this paper is to explore and understand, using in-depth interviews, the participant's motivation for becoming a math teacher, ways of dealing with university math knowledge and private tutoring experiences. In addition a larger aim is to understand how the individual's interest in mathematics and turing are linked to his/her larger personal tendencies contrasting secondary and university math learning. In-depth interviews were conducted with 6 pre-service teachers' subjective experiences focusing on motivation and feelings on mathematical knowledge and private tutoring. The output of this research consists of 3 cases, highlighting and conceptually developing the specific aspects under study; different ways in which individuals' involvement with the math learning and tutoring that might be connected with the ways of becoming teachers. Larger aspects of pre-service teachers' subjective experiences were sketched by contrasting the inner aspects of the individuals. Several suggestions were presented at the end with the possible research directions for math education.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.12
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• pp.5072-5082
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• 2010

The Paper describes the methodology for Software Architecture Design. The key idea is to find the interfaces between the actors, modules, and communicating entities, and use them to identify the software design elements. The identified interfaces and modules are further used to find new modules and interfaces until the every design elements are found and located in the software architecture. This method starts the architecture design with finding the interfaces and enables the natural design procedure by relating the cause and results of the design. It also makes use of not only 5 architectural views for analysis and design of the software, but also concept of architecture patterns in design procedure. Especially, this method is also useful for the novice of the software architecture design.

• Journal of Advanced Navigation Technology
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• v.12 no.5
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• pp.494-501
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• 2008

In this paper, to merge whole 3D information of an occluded body from view point, the new image merging algorithm is introduced after obtaining images of body on the turn table from 4 directions. The two images represented by polygon meshes are merged using weight bipartite matching method with different weights according to coordinates and axes based on minimum distance since two images merged don't present abrupt variation of 3D coordinates and scan direction is one direction. To obtain entire 3D information of body, these steps are repeated 3 times since the obtained images are 4. This proposed method has advantage 200 - 300% searching time reduction rather than conventional branch and bound, dynamic programming, and hungarian method though the matching accuracy rate is a little bit less than these methods.

• Journal of KIISE:Software and Applications
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• v.31 no.1
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• pp.61-70
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• 2004

It is difficult to find an appropriate web site because exponentially growing web contains millions of web documents. Personalization of web search can be realized by recommending proper web sites using user profile but more efficient method is needed for estimating preference because user's evaluation on web contents presents many aspects of his characteristics. As user profile has a property of non-linearity, estimation by classifier is needed and combination of classifiers is necessary to anticipate diverse properties. Structure adaptive self-organizing map (SASOM) that is suitable for Pattern classification and visualization is an enhanced model of SOM and might be useful for web mining. Fuzzy integral is a combination method using classifiers' relevance that is defined subjectively. In this paper, estimation of user profile is conducted by using ensemble of SASOM's teamed independently based on fuzzy integral and evaluated by Syskill ＆ Webert UCI benchmark data. Experimental results show that the proposed method performs better than previous naive Bayes classifier as well as voting of SASOM's.

• The Journal of the Korea Contents Association
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• v.14 no.11
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• pp.628-643
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• 2014

The idea to conduct this study stemmed from the following question: What is the appropriate interpretation of the recent change in the user behavior of radio listeners? For some terrestrial radio programs, traditional listeners who mainly listen to them real-time through terrestrial radio broadcasting has been outnumbered by those who access them on smartphones and other mobile devices in a nonlinear way outside the pre-scheduled time slots of the programs. In the research, how terrestrial radio listeners use the new service called podcasting to access and consume audio content were examined by using Q methodology. As a result, three different types of user behavior and perception were modeled. This shows a prominent change in radio content use, which is moving away from the conventional user behavior pattern of radio content, one of the key media for mass communication in the 20th century. Such a development opens up new opportunities to create the same or even a greater user base compared to the existing one for terrestrial radio programs with the users' newly gained mobile access and to replace current radio content by using podcasting as a new service.

• Journal of Korean Society of Transportation
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• v.22 no.2 s.73
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• pp.77-86
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• 2004

In this study, we applied the Bayesian Network for the case of the mode choice models using the Seoul metropolitan area's house trip survey Data. Sex and age were used lot the independent variables for the explanation or the mode choice, and the relationships between the mode choice and the travellers' social characteristics were identified by the Bayesian Network. Furthermore, trip and mode's characteristics such as time and fare were also used for independent variables and the mode choice models were developed. It was found that the Bayesian Network were useful tool to overcome the problems which were in the traditional mode choice models. In particular, the various transport policies could be evaluated in the very short time by the established relation-ships. It is expected that the Bayesian Network will be utilized as the important tools for the transport analysis.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.28 no.9A
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• pp.694-701
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• 2003

In this paper, we present a hardware structure and new features of a smart antenna BTS (Base Transceiver Station) for CDMA2000 1X system. The proposed smart antenna BTS is a composite system consisting of many subsystems, i.e., array antenna element, frequency up/down converters, AD (Analog-to-Digital) and DA (Digital-to-Analog) converters, spreading/despreading units, convolutional encoder/Viterbi decoder, searcher, tracker, beamformer, calibration unit etc. Through the experimental tests, we found that the desired beam-pattern in both uplink and downlink communications is provided through the calibration procedure. Also it has been confirmed that the adaptive beamforming algorithm adopted to our smart antenna BTS is fast and accurate enough to support 4 fingers to each user. In our experiments, commercial mobile terminals operating PCS (Personal Communication System) band have been used. It has been confirmed that the smart antenna BTS tremendously improves the FER (Frame Error Rate) performance compared to the conventional 2-antenna diversity system.