• Journal of Korean Association for Spatial Structures
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• v.19 no.4
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• pp.35-44
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• 2019

Recently, the occurrence frequency of earthquake has increased in Korea, and many cultural assets have been damaged. Cheomseongdae is a valuable cultural assets that must be preserved historically and culturally. But, the masonry structure such as Chemseongdae is vulnerable to lateral forces. Therefore, in this study, structural modeling and dynamic analysis are performed to reflect the ground state and structural form of Cheomseongdae. Also, discrete element analysis technique is applied and dynamic behavior characteristics are analyzed according to earthquake load. For this purpose, displacements and stresses according to locations are reviewed and then swelling and distortion are analyzed.

• The Research Journal of the Costume Culture
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• v.2 no.2
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• pp.317-335
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• 1994

The purpose of this thesis is to analyze the relation of the mentalistics linguistics and costume, and to clarify the relationship between language as psychological expressions and costume to understand the phenomena of human costume behavior more deeply and comprehensively. As for the analysis of he costume phenomena, Noam Chomsky's psychological linguistic theory were applied to costume system. In this respect, particularly, by means of Chomsky's later theory(1965), the costume behavior were analyzed. The followings are the findings of the analysis : 1. The Syntactic Component: (※ See Full-Text) 2. The Semantic Component. The costme behavior is similar to a language system. Just as one morpheme or a phrase and phrases make different sentences, so various methods wearing costume make different sentences, so various methods wearing costume make different forms is costume. Language and costume have dictionary entry showing the meaning of vocabulary, and rules combining the individual meaning of the dictionary entry to complete the sentence.

• Transactions of Materials Processing
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• v.19 no.4
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• pp.217-223
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• 2010

The objective of this study is to propose the FE model for mechanical clinched joint using cohesive zone model to analyze its failure behavior under impact loading. Cohesive zone model (CZM) is two-parameter failure criteria approach, which could describe the failure behavior of joint using critical stress and fracture toughness. In this study, the relationship between failure behavior of mechanical clinched joint and fracture parameters is investigated by FE analysis with CZM. Using this relationship, the critical stress and fracture toughness for tensile and shear mode are determined by H-type tensile test and lap shear test, which were made of 5052 aluminum alloy. The fracture parameters were applied to the tophat impact test to evaluate the crashworthiness. Compared penetration depth and energy absorption at the point where 50% of total displacement in result of FE analysis and experiment test for impact test, those has shown similar crashworthiness.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.28 no.4
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• pp.82-88
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• 2020

Currently, flight training is not only a technical instruction that teaches maneuvering operations, but has expertise equal to that of general disciplines. Therefore, flight instructors must have academic knowledge and flight skills. As flight instructors are the first teacher in flight training for students who have never experienced actual flight control, the behavior of flight instructors will affect the students' flight education. Therefore, the influence of flight instructors for students are quite large compared to other educational institutions. In this study, the factors of instructional behavior were determined, and the actual state of instructional behavior of flight instructors were confirmed through students' survey. Improvements were derived to solve the problems identified in the survey results. For the follow-up analysis, improvements were applied to the flight instructors for 8 months, and then re-question was conducted to the same students who responded to the first questionnaire to find out the difference in results before and after through a paired t-test.

• Journal of Families and Better Life
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• v.24 no.2 s.80
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• pp.73-92
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• 2006

This paper investigates the causal relationships between financial attitudes, spending behaviors and the financial satisfaction of adolescent consumers. The study used Cronbach' $\alpha$, t-test, one-way ANOVA, Duncan's multiple range test, multiple regression and path analysis for statistical analysis and applied it to 1,252 questionnaires. The results are summarized as follows: Path analysis revealed that the financial satisfaction of adolescents had a direct linear relationship with variables such as grade, sex, financial attitudes. (financial situation compared to past and financial situation compared to others) and types of spending behaviors (planned, conspicuous and excessive). Planned spending behavior was the most influential variable on financial satisfaction. Planned spending behavior had positive linear relationship with the attitude toward the past financial situation. Conspicuous spending behavior had positive linear relationships with the attitudes toward the past financial situation and the financial situation compared to others. However, it showed negative relationship with the attitude toward a future financial situation. Impulsive spending behavior had a positive relationship with the attitude toward others' financial situation. Excessive spending had a positive relationship with the attitude toward a past financial situation but showed a negative relationship to the attitude toward others' financial situation.

• Journal of Korean Association for Spatial Structures
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• v.18 no.3
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• pp.45-55
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• 2018

The arched stone bridge has been continuously deteriorated and damaged by the weathering and corrosion over time, and also natural disaster such as earthquake has added the damage. However, masonry stone bridge has the behavior characteristics as discontinuum structure and is very vulnerable to lateral load such as earthquake. So, it is necessary to analyze the dynamic behavior characteristics according to various design variables of arched stone bridge under seismic loads. To this end, the arched stone bridge can be classified according to arch types, and then the discrete element method is applied for the structural modelling and analysis. In addition, seismic loads according to return periods are generated and the dynamic analysis considering the discontinuity characteristics is carried out. Finally, the dynamic behavior characteristics are evaluated through the structural safety estimation for slip condition.

• Proceedings of the Korean Geotechical Society Conference
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• 2003.03a
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• pp.385-392
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• 2003

Traditional forms of river and coastal structures have become very expensive to build and maintain, because of the shortage of natural rock. Geotextile tubes hydraulically or mechanically filled with dredged materials have been applied in hydraulic and coastal engineering in recent years(shore protection structure, detached breakwater, groins and jetty). Recently, new preliminary design criteria supported by model and prototype tests, and some stability analysis calculations have been studied. In this study, the numerical analysis was performed to investigate the behavior of geotextile tube with various properties of geotextile and hydraulic pumping conditions. Numerical analysis was executed to compare with the results from the large-scale field model tests, and also compared the results of 2-D plane strain analysis and 3-D FEM analysis. A geotextile tube was modeled using the commercial finite element analysis program ABAQUS and the one-quarter of tube was modeled. Behavior of geotextile tube during the hydraulic pumping procedure was analyzed by comparing the large-scale field model test and numerical analysis. The shape variation and maximum tube height between the numerical analysis results and large-scale filed test results are turned out to be a good agreement.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.05a
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• pp.727-730
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• 2002

Most of battery industries are growing explosively as a core strategy industry for the development of the semi-conductor, the LCD, and the mobile communication device. Dynamic characteristic analysis consists of dynamic behavior analysis and finite element analysis and is necessary for effective design of machines. In the dynamic behavior analysis, the displacement, velocity, applied force and angular velocity of each components are simulated according to each part. In the FEA, stress analysis, mode analysis, and frequency analysis are performed far each part. The results of these simulations are used for the design specification investigation and compensation for optimal design of cell manufacturing line. Virtual Engineering of the separator inserting machine on the automatic cell assembly line systems are modeled and simulated. 3D motion behavior is visualized under real-operating condition on the computer window. Virtual Prototype make it possible to save time by identifying design problems early in development, cut cost by reducing making hardware prototype, and improve quality by quickly optimizing full-system performance. As the first step of CAE which integrates design, dynamic modeling using ADAMS and FEM analysis using NASTRAN are developed.

• Proceedings of the Korean Geotechical Society Conference
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• 2005.03a
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• pp.751-758
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• 2005

In this study, the Discrete Element Code was applied to the analysis of falling rock blocks. The simulation was performed using the PFC2D computer code. Falling rock blocks should be applied as additional force to each others. The force affect the motion of falling rock blocks. This was used to find out the behavior of each blocks. This study revealed that the DEM can successfully capture the behavior of falling rock blocks.

• Journal of Applied Reliability
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• v.18 no.1
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• pp.20-32
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• 2018

Purpose: The purpose of this study is to set up an anomaly detection criteria for sensor data coming from a motorcycle. Methods: Five sensor values for accelerator pedal, engine rpm, transmission rpm, gear and speed are obtained every 0.02 second from a motorcycle. Exploratory data analysis is used to find any pattern in the data. Traditional process control methods such as X control chart and time series models are fitted to find any anomaly behavior in the data. Finally unsupervised learning algorithm such as k-means clustering is used to find any anomaly spot in the sensor data. Results: According to exploratory data analysis, the distribution of accelerator pedal sensor values is very much skewed to the left. The motorcycle seemed to have been driven in a city at speed less than 45 kilometers per hour. Traditional process control charts such as X control chart fail due to severe autocorrelation in each sensor data. However, ARIMA model found three abnormal points where they are beyond 2 sigma limits in the control chart. We applied a copula based Markov chain to perform statistical process control for correlated observations. Copula based Markov model found anomaly behavior in the similar places as ARIMA model. In an unsupervised learning algorithm, large sensor values get subdivided into two, three, and four disjoint regions. So extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior in the sensor values. Conclusion: Exploratory data analysis is useful to find any pattern in the sensor data. Process control chart using ARIMA and Joe's copula based Markov model also give warnings near similar places in the data. Unsupervised learning algorithm shows us that the extreme sensor values are the ones that need to be tracked down for any sign of anomaly behavior.