• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2008.04a
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• pp.476-479
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• 2008

Understanding the dynamics of proteins is essential to gain insight into biological functions of proteins. The protein dynamics is delineated by conformational fluctuation (i.e. thermal vibration), and thus, thermal vibration of proteins has to be understood. In this paper, a simple mechanical model was considered for understanding protein's dynamics. Specifically, a mechanical vibration model was developed for understanding the large protein dynamics related to biological functions. The mechanical model for large proteins was constructed based on simple elastic model (i.e. Tirion's elastic model) and model reduction methods (dynamic model condensation). The large protein structure was described by minimal degrees of freedom on the basis of model reduction method that allows one to transform the refined structure into the coarse-grained structure. In this model, it is shown that a simple reduced model is able to reproduce the thermal fluctuation behavior of proteins qualitatively comparable to original molecular model. Moreover, the protein's dynamic behavior such as collective dynamics is well depicted by a simple reduced mechanical model. This sheds light on that the model reduction may provide the information about large protein dynamics, and consequently, the biological functions of large proteins.

• Journal of Institute of Control, Robotics and Systems
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• v.6 no.3
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• pp.273-283
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• 2000

In this paper we suggest an optimal design method of Fuzzy-Neural Networks(FNN) model for complex and nonlinear systems. The FNNs use the simplified inference as fuzzy inference method and Error Back Propagation Algorithm as learning rule. And we use a HCM(Hard C-Means) Clustering Algorithm to find initial parameters of the membership function. The parameters such as parameters of membership functions learning rates and momentum weighted value is proposed to achieve a sound balance between approximation and generalization abilities of the model. According to selection and adjustment of a weighting factor of an aggregate objective function which depends on the number of data and a certain degree of nonlinearity (distribution of I/O data we show that it is available and effective to design and optimal FNN model structure with a mutual balance and dependency between approximation and generalization abilities. This methodology sheds light on the role and impact of different parameters of the model on its performance (especially the mapping and predicting capabilities of the rule based computing). To evaluate the performance of the proposed model we use the time series data for gas furnace the data of sewage treatment process and traffic route choice process.

• Korean Institute of Interior Design Journal
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• v.13 no.5
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• pp.114-124
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• 2004

Most previous studies, in general, related to housing needs have analyzed the data from self-administered survey or interview using questionnaire or simple 2D floor plan. This study was Intended to suggest how to increase the reliability and effectiveness of such survey methods in examining the residents' housing needs. In order to accomplish the purpose, the two kinds of surveys using Web based VR media and typical questionnaire were peformed. The same questions were used for these two surveys, and they included the furniture characteristics, use of each room, adjustment of room size, preferences for interior colors, preferred furniture in living room, space layout of floor plan, housing life style, and preference for housing characteristics. The answer differences between these two were analyzed. The subjects were 402 housewives who lived in apartment houses in Haeundae, Busan. Finding were as follows: first, the media method was more likely to be effective than typical questionnaire survey in explaining housing needs for the adjustment of room size in housing unit plan. Second, the media method was more realistic and reliable than the other in comprehending the needs for the interior colors. Last, the VR media tended to be more effective than the other in understanding the space layout of floor plan. This research sheds light on the utilization of visual instrument for the analysis of needs related to space use.

• Transactions of the Korean Society of Mechanical Engineers B
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• v.24 no.8
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• pp.1104-1111
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• 2000

Erosion-corrosion in a pipe system often occurs at fittings, valves, and weld beads where flow separation and reattachment yield high turbulence intensity. Thus identifying their correlations would be the first step towards resolving the erosion-corrosion problems associated with industrial applications. Bremhorst of the Univ. of Queensland, Australia, proposed that a rotating cylinder with surface roughness (two backward-facing steps periodically mounted on a circular cylinder) be an economical and tractable tool which can generate extreme flow conditions for erosion-corrosion study. In this work, DNS has been carried out for turbulent flows around the same rotating cylinder as his experimental apparatus. Our result shows that a region of intense turbulence intensity and high wall-shear stress fluctuation is formed along the cylinder surface in the recirculating region behind the step, where high mass-transfer capacity is also experimentally observed. Since corrosion is mass-transfer controlled, our finding sheds light on the direction of future corrosion research.

• Asian Journal for Public Opinion Research
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• v.1 no.1
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• pp.7-25
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• 2013

For the Palestinians, what is the impact of the Arab Spring? The revolution not only dislodged Mubarak from the presidency, but also changed Egyptian policy regarding Palestinians in Gaza. New Egyptian diplomacy has encouraged Hamas and Fatah, which had been in dispute, to seek reconciliation and has loosened the border control on humanitarian grounds. We focus on Palestinian voting attitudes in the wake of the Arab Spring. Despite the vast quantity of literature written about Palestinian politics since the first decade of the millennium, we know little about the determinants of Palestinian attitudes toward the divided governments in the West Bank and the Gaza Strip. The Fatah government, in the West Bank, increased in popularity after submitting a request for UN recognition of Palestinian statehood. In Gaza, the Hamas government lost popularity because of mismanagement but won support through the success of its prisoner swap deal with Israel. However, evaluation of the ruling party does not depend only on one-time events. This research attempts to measure the impact of policy change in Gaza after the Arab Spring. We provide an account of our research on Palestinian attitudes toward the divided governments based on two sets of the original survey data conducted in May 2009 and June 2012. The paper sheds light on Palestinian attitudes and makes clear the effects of "democratization" in the Middle East and the effects of regional context factors on the occupied Palestinians.

• Research in Mathematical Education
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• v.5 no.1
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• pp.45-58
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• 2001

This study sheds light on the importance of developing creativity in mathematics class by examining the theoretical base of creativity and its relationship to mathematics. The study also reviewed the realities of developing creativity in mathematics courses, and it observed and analyzed the processes in which students and teachers solve the mathematics problems. By doing so, the study examined creative abilities of both students and teachers and suggests what teachers can do to tap the potential of the student. The subjects of the study are two groups of students and one group of mathematics teachers. These groups were required to solve a particular problems. The grading was made based on the mathematical creativity factors. There were marked differences in the ways of the solutions between of the student groups and the teacher group. It was clear that the teachers\\` thinking was limited to routine approaches in solving the given problems. In particular, there was a serious gap in the area of originality. As can be seen from the problem analysis by groups, there was a meaningful difference between the creativity factors of students and those of teachers. This study presented research findings obtained from students who were guided to freely express their creativity under encouragement and concern of their teachers. Thus, teachers should make an effort to break from their routine thinking processes and fixed ideas. In addition, teaching methods and contents should emphasize on development of creativity. Such efforts will surely lead to an outcome that is beneficial to students.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.197-214
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• 2017

This study sheds light on the source data quality in big data systems. Previous studies about big data success have called for future research and further examination of the quality factors and the importance of source data. This study extracted the quality factors of source data from the user's viewpoint and empirically tested the effects of source data quality on the usefulness and utilization of big data analytics results. Based on the previous researches and focus group evaluation, four quality factors have been established such as accuracy, completeness, timeliness and consistency. After setting up 11 hypotheses on how the quality of the source data contributes to the usefulness, utilization, and ongoing use of the big data analytics results, e-mail survey was conducted at a level of independent department using big data in domestic firms. The results of the hypothetical review identified the characteristics and impact of the source data quality in the big data systems and drew some meaningful findings about big data characteristics.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2000.10a
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• pp.536-542
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• 2000

The purpose of this study is to evaluate the effect of stream quality by the farmer＇s livestock wastes management in a typical small agricultural watershed. AGNPS model has the capability to adjust the level of pollutant load from farmstead and the fertilization level of upland field. A small agricultural watershed(4.12 $\textrm{km}^2$) which has as livestock farmhouses located in Gosan-myun, Ansung-gun was selected. AGNPS data were prepared by using Arc/info and Idrisi. 4 storm events in 1999 was used for runoff calibration, and 2 storm event which is measured in hourly-base at 4 locations along the stream were used for water quality(TN, TP) calibration. Model＇s behavior to stream quality for 3 cases was investigated. First, the variation of pollution produced from the cattle shed affected little to the stream quality because the cattle sheds were roofed. Second, the good management of ground in farmstead affected to stream quality with 11% and 17% decrease in TN and TP, respectively. Third, the reduction of fertilization level to upland field affected to stream quality with 27.2% and 38.5% decrease in TN and TP, respectively.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.25-31
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• 2020

The purpose of this paper is to examine a financial distress premium in the emerging market. A risk-return trade-off of negative book equity (NBE) and distress firms is empirically analyzed using data from the Stock Exchange of Thailand. This research employs Ohlson's (1980) bankruptcy model as a measurement of distress risk. The results indicate that distress firms outperform solvent firms in the Thai market and deny distress anomaly often found in the developed market. Fama-Frech (1993) three-factor model and Carhart (1997) four-factor model verify the existence of a distress premium in the Thai capital market. Risk-seeking investors demand greater compensation for bearing risks of distress firms' going concern. This paper provides fresh evidence that default risk is a significant explanatory factor in pricing stocks in the emerging market. Also, this study sheds light on the role of NBE firms in asset pricing. Most studies eliminate NBE firms from their sample. However, NBE firms yield superior average cross-sectional returns, albeit with higher volatility. Investors are rewarded with distress risks associated with NBE firms. The outperformance of NBE firms is statistically significant when compared to the overall market. The NBE premium disappears when factoring size, value, and momentum in time-series analysis.

• Journal of Information Processing Systems
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• v.7 no.1
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• pp.111-120
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• 2011

The concept of Smart-Homes is becoming more and more popular. It is anticipated that Radio Frequency IDentification (RFID) technology will play a major role in such environments. We can find many previously proposed schemes that focus solely on: authentication between the RFID tags and readers, and user privacy protection from malicious readers. There has also been much talk of a very popular RFID application: a refrigerator/bookshelf that can scan and list out the details of its items on its display screen. Realizing such an application is not as straight forward as it seems to be, especially in securely deploying such RFID-based applications in a smart home environment. Therefore this paper describes some of the RFID-based applications that are applicable to smart home environments. We then identify their related privacy and security threats and security requirements and also propose a secure approach, where RFID-tagged consumer items, RFID-reader enabled appliances (e.g., refrigerators), and RFID-based applications would securely interact among one another. At the moment our approach is just a conceptual idea, but it sheds light on very important security issues related to RFID-based applications that are beneficial for consumers.