• Journal of Digital Convergence
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• v.12 no.11
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• pp.141-157
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• 2014

This study explored the entrepreneurial intention of university students by empirical study on them and studied the various variables, which have impact on their entrepreneurial intention. The result of examination on the impact factors of each independent variable on entrepreneurial intention was as following. There were significant relation with individual ability in individual characteristics and with safety orientation, autonomy orientation, technology orientation and business orientation in career orientation. The examination result on the impact of entrepreneurial environment on entrepreneurial intention was as following. There was significant relation between individual network and entrepreneurial policy. It was also possible to find that a student, who received entrepreneurial education as one of control variables, has higher entrepreneurial intention than a student who did not receive entrepreneurial education. Especially, business orientation was the most significant factor on entrepreneurial intention among multiple significant variables. Therefore, diverse entrepreneurial education programs should be developed and supplied so that university students can create business idea of own and reinforce the design ability related to the business.

• Korean Journal of Construction Engineering and Management
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• v.14 no.5
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• pp.44-54
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• 2013

As a green construction is a world-wide hot issue, Korean government is also putting forth a multilateral effort into reducing energy usage with setting aggressive goal under green growth policy. It is essential to analyse cost raised from designing and building green construction and benefit derived from the built facility for the sustainable green construction. However, compared to advanced countries in terms of green construction, there is lack of data and a systematic way for data collection and analysis in Korea. Without analyzing the cost-benefit of green construction, investors will hesitate to put his/her money into green construction and we can not expect its growth in construction industry. In this paper, cost of green construction was defined and categorized. Through case studies and various reports on cost-benefit analysis in advanced green construction countries, problems in terms of data collection and analysis in domestic green construction sector and improvement ways were suggested. The results of this study will contribute in classification of cost and benefit of green construction, data collection in systematic way, and increasing the feasibility of green construction via appropriate analysis on cost-benefit of green construction.

• The Journal of the Korea Contents Association
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• v.12 no.6
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• pp.68-77
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• 2012

As the system development environment moves from single core to multi core-based platforms, it becomes more important to maintain compatibility between single core-based implementations and multi core-based implementations. Moreover, it is very important to support real-time on multi core platforms especially in cases of embedded software or test equipments which need real-time as well as correctness. Since Windows operating system dopes not support real-time in itself, it has been supporting real-time using expensive third-party solutions such as RTX or INtime. So as to reduce this kind of development expenses, in this paper, we propose RTiK-MP(Real-Time implant Kernel-Multi Processor) which supports real-time on Windows using the Local APIC of x86 architectures, and evaluate the performance of the proposed RTiK-MP after deploying it on portable missile test equipments.

• Journal of the Korea institute for structural maintenance and inspection
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• v.20 no.1
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• pp.33-40
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• 2016

In this study, using the Cost Prediction Model and Performance Prediction Model have developed a way to estimate future management costs and performance for bridge and tunnel by Network Level. Studies to date have primarily focused on the single facility, it is difficult to apply to the analysis of the Network Level. This study, items used as an index of 'Special Act for the Safety Control of Public Structures' was added to Usability and Functionality to Status. Action period and annual budget for each facility can be estimated through the Basic and Advanced analysis. In addition, we verified the technical feasibility through case analysis.

• Journal of KIISE:Software and Applications
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• v.33 no.8
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• pp.681-691
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• 2006

Clustering is one of widely used methods for grouping thousands of genes by their similarities of expression levels, so that it helps to analyze gene expression profiles. This method has been used for identifying the functions of genes. Fuzzy clustering method, which is one category of clustering, assigns one sample to multiple groups according to their degrees of membership. This method is more appropriate for analyzing gene expression profiles because single gene might involve multiple genetic functions. Clustering methods, however, have the problems that they are sensitive to initialization and can be trapped into local optima. To solve these problems, this paper proposes an evolutionary fuzzy clustering method, where adaptive a-cut based evaluation is used for the fitness evaluation to apply different criteria considering the characteristics of datasets to overcome the limitation of Bayesian validation method that applies the same criterion to all datasets. We have conducted experiments with SRBCT and yeast cell-cycle datasets and analyzed the results to confirm the usefulness of the proposed method.

• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.6
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• pp.661-666
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• 2003

In this paper, the conventional k-modes and fuzzy k-modes algorithms for clustering categorical data is extended by representing the clusters of categorical data with fuzzy centroids instead of the hard-type centroids used in the original algorithm. The hard-type centroids of the traditional algorithms had difficulties in dealing with ambiguous boundary data, which might be misclassified and lead to thelocal optima. Use of fuzzy centroids makes it possible to fully exploit the power of fuzzy sets in representing the uncertainty in the classification of categorical data. The distance measure between data and fuzzy centroids is more precise and effective than those of the k-modes and fuzzy k-modes. To test the proposed approach, the proposed algorithm and two conventional algorithms were used to cluster three categorical data sets. The proposed method was found to give markedly better clustering results.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.5
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• pp.555-563
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• 2011

The goal of image calibration is to find a relation between image and world coordinates. Conventional image calibration uses physical camera model that is able to reflect camera's optical properties between image and world coordinates. In this paper, we try to calibrate images distortion using performance criterion-based polynomial model which assumes that the relation between image and world coordinates can be identified by polynomial equation and its order and parameters are able to be estimated with image and object coordinate values and performance criterion. In order to overcome existing limitations of the conventional image calibration model, namely, over-fitting feature, the performance criterion-based polynomial model is proposed. The efficiency of proposed method can be verified with 2D images that were taken by laser scan camera.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.42 no.9 s.339
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• pp.49-56
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• 2005

Memory effect, which influence the performance of Doherty amplifier, become more significant and critical in designing these circuits as the modulation signal bandwidth and operation power level increase. This paper reports on an attempt to investigate, model and quantity the contribution of the electrical nonlinearity effects and the thermal memory effects to a Doherty amplifier's distortion generation. Also this raper reports on the development of an accurate dynamic expression of the instantaneous junction temperature as a function of the instantaneous dissipated power. This expression has been used in the construction of an electrothermal model for the Doherty amplifier. Parameters for the nelv proposed behavior model were determined from the Doherty amplifier measurements obtained under different excitation conditions. This study led us to conclude that the effects of the transistor self-heating phenomenon are important for signals with wideband modulation bandwidth(ex. W-CDMA or UMTS signal). Doherty amplifier with electrothermal memory effect compensator enhanced ACLR performance about 20 dB than without electrothemal memory effect compensator. Experiment results were mesured by 60W LDMOS Doherty amplifier and electrothermal memory effect compensator was simulated by ADS.

• Proceedings of the Korea Concrete Institute Conference
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• 2008.04a
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• pp.645-648
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• 2008

In this study, to evaluate the correlation between hydration heat and autogenous shrinkage of high strength concrete in early age, statistical method present numerically hydration heat and autogenous shrinkage was studied. First of all, hydration heating velocity and autogenous shrinking velocity as quantitative coefficients which represent the main properties of hydration heat and autogenous shrinkage were proposed. Two coefficients were calculated by statistical analysis and were equal with the regression coefficient. To verify the validity of the proposed statistical analysis method, data of hydration heat and autogenous shrinkage gathered by a real experiment were analyzed by it. In results, properties of hydration heat and autogenous shrinkage of high strength concrete in early age were analyzed quantitatively. Also evaluation and comparison of the correlation between hydration heat and autogenous shrinkage with numerical value were possible.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.5
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• pp.791-798
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• 2015

It has been grown interests of the convergence technologies about communication systems and vehicular industry. Vehicular communications enable a number of infotainment applications to serve cars under high mobility environments. To achieve this goal, a robust and accurate channel estimation scheme is of great importance. This paper proposes an enhanced Decision-Directed channel estimation scheme called PTAU(Pilot Tone Aided Update) for IEEE 802.11p in vehicular communication environment. Existing approaches which use subsequent data symbols to estimate channel response in time domain will lead to the error propagation. In this paper, we use the pilot subcarriers to get initial channel response, then utilize the correlation characteristics to update channel response in frequency domain. Finally, Analysis and simulation results reveal that the proposed scheme outperforms in bit error rate(BER), significantly improve the performance of the estimation.