• Journal of The Korean Astronomical Society
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• v.41 no.6
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• pp.157-161
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• 2008

We have estimated the fractal dimension of the molecular clouds associated with the Hii region Sh 156 in the Outer Galaxy. We selected the $^{12}CO$ cube data from the FCRAO CO Survey of the Outer Galaxy. Using a developed code within IRAF, we identified slice-clouds (2-dimensional clouds in velocity-channel maps) with two threshold temperatures to estimate the fractal dimension. With the threshold temperatures of 1.8 K, and 3 K, we identified 317 slice-clouds and 217 slice-clouds, respectively. There seems to be a turn-over location in fractional dimension slope around NP (area; number of pixel) = 40. The fractal dimensions was estimated to be D = $1.5\;{\sim}\;1.53$ for $NP\;{\geq}\;40$, where $P\;{\propto}\;A^{D/2}$ (P is perimeter and A is area), which is slightly larger than other results. The sampling rate (spatial resolution) of observed data must be an important parameter when estimating fractal dimension. Fractal dimension is apparently invariant when varying the threshold temperatures applied to slice-clouds identification.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.93-102
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• 2004

In recent several studies, interactional justice as well as distributional justice and procedural justice was founded as a important factor of justice. But the other studies proposed that interactional justice was a sub-dimension of procedural justice because of a very close correlation between two factors. So there are mixed point of view of the factor structure of justice. In this study, we examined the factor structure of justice using confirmative factor analysis. We hypothesized that the facto, structure of justice would be divided into three factors; distributional justice, procedural justice and interactional justice. The results of empirical study supported these hypotheses. The results of this study suggest that interactional justice should be regarded as a important factor of justice to analyze the justice and the relationship with justice and related variables more accurately.

• Smart Structures and Systems
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• v.23 no.4
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• pp.393-403
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• 2019

Applying more features gives us better accuracy in modeling; however, increasing the inputs causes the curse of dimensions. In this paper, a new structure has been proposed for fault detecting and identifying (FDI) of high-dimensional systems. This structure consist of two structure. The first part includes Auto-Encoders (AE) as Deep Neural Networks (DNNs) to produce feature engineering process and summarize the features. The second part consists of the Local Model Networks (LMNs) with LOcally LInear MOdel Tree (LOLIMOT) algorithm to model outputs (multiple models). The fault detection is based on these multiple models. Hence the residuals generated by comparing the system output and multiple models have been used to alarm the faults. To show the effectiveness of the proposed structure, it is tested on single-shaft industrial gas turbine prototype model. Finally, a brief comparison between the simulated results and several related works is presented and the well performance of the proposed structure has been illustrated.

• Journal of the Korean Institute of Telematics and Electronics D
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• v.36D no.5
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• pp.44-53
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• 1999

This paper are reported a methodology and application for extracting parasitic capacitances in a multi-level interconnect semiconductor structure by a numerical technique. To calculate the parasitic capacitances between the interconnect lines, we employed finite element method (FEM) and calculated the distrubution of electric potential in the inter-metal layer dielecric(ILD) by solving the Laplace equation. The three-dimensional multi-level interconnect structure is generated directly from two-dimensional mask layout data by specifying process sequences and dimension. An exemplary structure comprising two metal lines with a dimension of 8.0$\times$8.0$\times$5.0$\mu\textrm{m}^3/TEX>, which is embedded in three dielectric layer, was simulated to extract the parasitic capacitances. In this calculation, 1960 nodes with 8892 tetrahedra were used in ULTRA SPARC 1 workstation. The total CPU time for the simulation was 28 seconds, while the memory size of 4.4MB was required.

• Proceedings of the Korea Concrete Institute Conference
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• 2000.04a
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• pp.357-362
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• 2000

This Paper presents dynamic analysis of underground R/C Subway Structure, subjected to seismic actions. Earthquakes brought serious damage to RC subway Structure. Foe studying the collapse mechanism of underground RC Subway, seismic of a subway station is simulated in using FEM program ASP2000 of two-dimension based on the path dependent RC elastic model, soil foundation and interfacial models. The shear failure of intermediate vertical columns is founds to be the major cause of the structural collapse. According to FEM simulation of the failure mechanism, it is considered that the RC column would lose axial load carrying capacity after the occurrence of the localized diagonal shear cracks , and sudden failure of the outer frame would be followed. Specially, the shear stress in the middle slab reaches maximum shear capacity. So, the Structure would fail in the middle slab as a result of erasing the vertical ground motion computation.

• Journal of Mechanical Science and Technology
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• v.18 no.3
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• pp.432-442
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• 2004

This paper presents a neural network predictor for analysing rigidity variations of hydrostatic bearing system. The designed neural network has feedforward structure with three layers. The layers are input layer, hidden layer and output layer. Two main parameter could be considered for hydrostatic bearing system. These parameters are the size of bearing pocket and the orifice dimension. Due to importancy of these parameters, it is necessary to analyse with a suitable optimisation method such as neural network. As depicted from the results, the proposed neural predictor exactly follows experimental desired results.

• Proceedings of the Korea Concrete Institute Conference
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• 2005.05b
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• pp.421-424
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• 2005

Discusses the results of an investigation of the relationship between maturity in field-cured specimens and that from the thinner dimension structure to thick, particularly at cold weather concrete. Tests were carried out on two different concrete mixes with 28 day compressive strengths ranging approximately 30MPa. Ready-mixed concrete was used, and test specimens were the conventional field-cured 10$\times$20cm concrete cylinder with insulating materials and without them, and test structures were the thinner(width 20cm), the general(width 40cm), the thick dimension(width 60cm), respectively. Tests were performed at age of 3, 7, 14, 28 day. Analyses of test results show that the maturity of concrete for require compressive strength was suggested to be keep higher than $164D^{circ}D$ until at least from 8day to 10day

• Journal of the Korean Society for Library and Information Science
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• v.22
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• pp.331-360
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• 1992

This research presents author co-citation analysis of the subject area in the humanities - Korean history. Three approaches to multivariate analyses were used to display the inter-author relationships in the similarity matrix. Data on co-citation of sixty seven authors for the period of 1980­1989 were extracted from the database constructed by author. The author's name, here refers to a body of writings by a person, is the unit of analysis. The data were subjected to non-metric multidimensional scaling program create two-dimensional map of authors. Authors with similarity are clustered using hierarchical agglomerative procedure and it is found that five clusters in Korean history represent primarily research specializations. Author map of Korean history reveals the first dimension corresponding to subject orientation of authors and the second dimension corresponds to research method or research style. In factor analysis, each factor reflects research specialty made up of authors, and factor locadings demonstrate the breadth or concentration of sixty seven authors' scholarly contributions on Korean history. It is demonstrated that the· specific methodology employed by this research, author co-citation analysis, is useful to represent the intellectual structure of Korean history.

• Smart Structures and Systems
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• v.33 no.3
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• pp.227-241
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• 2024

Safety and structural integrity of civil structures, like bridges and buildings, can be substantially enhanced by employing appropriate structural health monitoring (SHM) techniques for timely diagnosis of incipient damages. The information gathered from health monitoring of important infrastructure helps in making informed decisions on their maintenance. This ensures smooth, uninterrupted operation of the civil infrastructure and also cuts down the overall maintenance cost. With an early warning system, SHM can protect human life during major structural failures. A real-time online damage localization technique is proposed using only the vibration measurements in this paper. The concept of the 'Degree of Scatter' (DoS) of the vibration measurements is used to generate a spatial profile, and fractal dimension theory is used for damage detection and localization in the proposed two-phase algorithm. Further, it ensures robustness against environmental and operational variability (EoV). The proposed method works only with output-only responses and does not require correlated finite element models. Investigations are carried out to test the presented algorithm, using the synthetic data generated from a simply supported beam, a 25-storey shear building model, and also experimental data obtained from the lab-level experiments on a steel I-beam and a ten-storey framed structure. The investigations suggest that the proposed damage localization algorithm is capable of isolating the influence of the confounding factors associated with EoV while detecting and localizing damage even with noisy measurements.

• Journal of the Korean Society of Costume
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• v.50 no.7
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• pp.181-193
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• 2000

The purpose of this study was to establish the marketing strategy, that strengthens the brand royalty of their own in apparel industry and that can induce consumer's brand switching against competitive brand. This might be done by suggesting influencing factors on the brand switching for fashion goods. This study was classified into theoretical and experimental study Experimental study was done, using the survey to prove the models for consumers' responses to brand switching by the theoretical study. The survey was conducted through two preliminary questionnaires. It was used as a criterion to prove the validity of the main survey and analyse the reliability. It analyzed at last five hundred ninety-two women in the age of twenty to thirty years odd who live in Seoul and the suburban of Seoul. Followings are the summary of the results revealed through the experimental study. First, brand switching behavior of consumers far formal dress was attributed to two extremes the inner motivation of variety seeking tendency and communication contact, complex variety seeking group, true variety seeking group, derived variety seeking group, and variety avoiding group. Second, the structure of low dimension related fashion according to factor analysis, which affects brand switching, was composed to involvement in 5-dimension, information search in 3-dimension. Based on the results of this study the types of brand switching in fashion goods can be classified by the variety seeking tendency. as inner motivation, and level of contact communication as a outside stimuli. In addition this study showed a correlation among the factors for brand switching related to variables of fashion.