• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.535-538
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• 2000

There are several electricity applied sterilizers such as sterilizer with high frequency sterilizer with ozone sterilizer with high voltage and so on Those sterilizers feature "because there is no chemical process there is no secondly environmental pollution" At the power conversion part ZVS and ZCS methods have been used that it results in reduced switching loss miniaturized size and lightened weight, Besides the current in the device is smaller than that of existing method. Thus it is expected that the cost of sterilization process when quality of the device is measured by power consumption will be reduced.e reduced.

• 제어로봇시스템학회:학술대회논문집
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• 1994.10a
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• pp.690-695
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• 1994

We propose a method to reduce the marking expression about the places when we model a discrete-event system using the Petri net. The net with reduced marking expression has the same dynamic behavior as the original model. The number of the places can be reduced by the number of the resource places of the Petri net, and consequently the net can be significantly simplified, still preserving the dynamic properties of the net.

• Journal of Institute of Control, Robotics and Systems
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• v.12 no.11
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• pp.1057-1060
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• 2006

This paper presents an LMI-based method to design a reduced order observer based sliding mode controller for a class of uncertain systems. Using LMIs we derive an existence condition of a reduced order observer and a sliding mode control law. And we give explicit formulas of the gain matrices. Finally, we give a numerical design example, together with a design algorithm.

• Journal of Institute of Control, Robotics and Systems
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• v.7 no.6
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• pp.465-470
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• 2001

This paper considers a new weighed model reduction method using block diagonal solutions of Lyapunov inequalities. With the input and/or output weighting function, the stability of the reduced order system is guaranteed and an a priori error bound is proposed. to achieve this after finding the solutions of two Lyapunov inequalities and balancing the full order system, we find the reduced order systems using the direct truncation and the singular perturbation approximation. The proposed method is compared with other existing methods using numerical examples.

• Herbal Formula Science
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• v.18 no.2
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• pp.215-225
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• 2010

In order to investigate the antidepressant effects of Lycii Radicis Cortex on the change of HPA-Axis system, the forced swimming test was performed. The expressions of CRF and c-Fos in the PVN were measured with immunohistochemical method and the concentration of ACTH in Serum was evaluated with ELISA method. And the results obtained were as follows. Results : 1. The duration of immobility in the forced swimming test was significantly decreased in the LRC100 group and the LRC400 group(P<0.001). 2. The expressions of CRF and c-Fos were significantly reduced in the LRC100 group and the LRC400 group(P<0.001). And the concentration of ACTH in Serum were significantly reduced in the LRC 100 group(P<0.05). According to the results above mentioned, it can be considered that Lycii Radicis Cortex has antidepressant effects.

• Journal of the Korean Society for Library and Information Science
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• v.40 no.2
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• pp.415-434
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• 2006

This study aim to develop a classification system to classify the descriptors, which is been in korean literatures. Firstly this classification structure is categorized on six facets and the classification system is constructed on a deductive method based on korean literature knowledge. The study compared the classification system with various thesaurus's classification system in humane studies and by the comparison, the classification system of korean literature's terms find out having some merits as using the facet method. On account of these merits the classification system has achieved a consistency of categorization independently and reduced a complexity of classification structure. And by categorizing the common categories, the study has reduced the size of schedules. Finally, the classification system has advanced the structure in the process of classifying the descriptors.

• Proceedings of the KSME Conference
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• 2007.05a
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• pp.921-926
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• 2007

A dynamic system under random disturbance is considered in the study. In order to control the system efficiently, proper reduction of system dimension is indispensible in design stage. The reduction method using component cost analysis in conjunction with stochastic analysis is proposed for the control of a system. System response is obtained in terms of dynamic moment equation via Fokker-Plank-Kolmogorov(F-P-K) equation. The dynamic moment response of the system under random disturbance are reduced by using of deterministic version of component cost analysis. The reduced system via proposed "stochastic component cost analysis" is successfully implemented for dynamic response and shows remarkable control performance effectively utilizing "stochastic controller" in physical time domain.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2004.04a
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• pp.87-94
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• 2004

A number of approximate techniques have been developed to calculate the eigenvalues in a reduced manner. These schemes approximate the lower eigenvalues that represent the global behavior of the structures. In general, sequential elimination has been widely used with reliability. But it takes excessively large amount of time to construct a reduced system. The present study proposes two-level condensation scheme(TLCS). In the first step, the candidate elements are selected by element-level energy estimation. In the second step, master degrees of freedom are selected by sequential elimination from the candidate degrees of freedom linked to the selected elements in the first step. Numerical examples demonstrate that the proposed method saves computational cost effectively and provides a reduced system which predicts the accurate eigenvalues of global system.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.58 no.10
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• pp.1902-1910
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• 2009

This paper presents a graphical windows-based program for the education and training for novel network reduction. The object of developed simulator is to provide users with a simple and useable tool for gaining an intuitive feel for power system analysis. The developed simulator consists of the main module (MMI,GUI), the location marginal price module (LMP), the clustering module and network reduction module. Each module has a separate graphical and interactive interfacing window. The developed simulator needs with the PSS/E input data format, generator cost function, location information. Line admittances of reduced network was determined by using the power flow method(Newton-Raphson). So line flow of reduced network is almost same to original power system. Results of reduced network are compared on the window in the tabular format. Therefore, the developed simulator can be utilized as a useful tool for effective education and training for power system analysis.

• Current Optics and Photonics
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• v.7 no.6
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• pp.692-700
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• 2023

We present a method for improving the accuracy of the modal wavefront reconstruction in the radial shearing interferometers (RSIs). Our approach involves expanding the reduced radial terms of Zernike polynomials to high-order, which enables more precise reconstruction of the wavefront aberrations with high-spatial frequency. We expanded the reduced polynomials up to infinite order with symbolic variables of the radius, shearing amount, and transformation matrix elements. For the simulation of the modal wavefront reconstruction, we generated a target wavefront subsequently, magnified and measured wavefronts were generated. To validate the effectiveness of the high-order Zernike polynomials, we applied both low- and high-order polynomials to the wavefront reconstruction process. Consequently, the peak-to-valley (PV) and RMS errors notably decreased with values of 0.011λ and 0.001λ, respectively, as the order of the radial Zernike polynomial increased.