• Journal of applied mathematics & informatics
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• 제29권3_4호
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• pp.891-900
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• 2011

In this paper, we study the impulsive dynamic systems on time scales with initial time difference. By employing cone-valued Lyapunov functions, some comparison theorems and several practical ${\phi}_0$-stability criteria for impulsive system on time scales with initial time difference are obtained.

• Journal of applied mathematics & informatics
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• 제18권1_2호
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• pp.339-350
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• 2005

A space-time fractional advection-dispersion equation (ADE) is a generalization of the classical ADE in which the first-order time derivative is replaced with Caputo derivative of order $\alpha{\in}(0,1]$, and the second-order space derivative is replaced with a Riesz-Feller derivative of order $\beta{\in}0,2]$. We derive the solution of its Cauchy problem in terms of the Green functions and the representations of the Green function by applying its Fourier-Laplace transforms. The Green function also can be interpreted as a spatial probability density function (pdf) evolving in time. We do the same on another kind of space-time fractional advection-dispersion equation whose space and time derivatives both replacing with Caputo derivatives.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.199-199
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• 2000

Most of linear time-varying(LTV) systems except special cases have no general solution for the dynamic equations. Thus, it is difficult to design time-varying controllers in analytic ways, and other control design approaches such as robust control have been applied to control design for uncertain LTI systems which are the approximation of LTV systems have been generally used instead. A robust control method such as quantitative feedback theory(QFT) has an advantage of guaranteeing the stability and the performance specification against plant parameter uncertainties in frozen time sense. However, if these methods are applied to the approximated linear time-invariant(LTI) plants which have large uncertainty, the designed control will be constructed in complicated forms and usually not suitable for fast dynamic performance. In this paper, as a method to enhance the fast dynamic performance, the approximated uncertainty of time-varying parameters are reduced by the proposed QFT parameter-scheduling control design based on radial basis function (RBF) networks for LTV systems with bounded time-varying parameters.

• 한국태양에너지학회 논문집
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• 제37권5호
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• pp.77-84
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• 2017

The purpose of this paper is to propose the way of computing conduction time series factors (CTSF) using numerical method. After the accuracy of the numerical solution procedure being verified, the method is applied to the wall type 24 and roof type 14 of ASHARE to find the conduction time series coefficients, so called conduction time series factors. The results agree well with the values presented in the ASHRAE handbook. The method proposed can be easily applied to find unknown CTSF for more complex structures. It provides information about the temperature changes at a given location and time, thus validity of generated CTSF can be checked easily.

• Journal of Mechanical Science and Technology
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• 제18권7호
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• pp.1107-1120
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• 2004

This study proposes a new scheme for the sampled-data representation of nonlinear systems with time-delayed multi-input. The proposed scheme is based on the Taylor-series expansion and zero-order hold assumption. The mathematical structure of a new discretization scheme is explored. On the basis of this structure, the sampled-data representation of nonlinear systems including time-delay is derived. The new scheme is applied to nonlinear systems with two inputs and then the delayed multi-input general equation is derived. The resulting time-discretization provides a finite-dimensional representation of nonlinear control systems with time-delay enabling existing controller design techniques to be applied to them. In order to evaluate the tracking performance of the proposed scheme, an algorithm is tested for some of the examples including maneuvering of an automobile and a 2-DOF mechanical system.

• 한국신뢰성학회지:신뢰성응용연구
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• 제3권2호
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• pp.93-101
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• 2003

Life time data analysis requires some time-to-failure data to an extent. Some life tests result in few or no failure. In such cases, it is difficult to access reliability with traditional life tests that record only time to failure. Furthermore, with short product development time, reliability tests must be conducted with severe time constraints. For some devices, it is possible to obtain degradation measurements over time, and these measurements may contain useful information about product reliability. This article describes degradation reliability analysis methods to do inferences and predictions about a failure-time distribution by using software. In addition, the possibility of extension to CBM (Condition Based Maintenance) is suggested as an example of applied degradation data analysis.

• 센서학회지
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• 제15권6호
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• pp.433-441
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• 2006

Because of the low power and low rate of a sensor network, outlier is frequently occurred in the time series data of sensor network. In this paper, we suggest periodic pattern analysis that is applied to the time series data of sensor network and predict outlier that exist in the time series data of sensor network. A periodic pattern is minimum period of time in which trend of values in data is appeared continuous and repeated. In this paper, a quantization and smoothing is applied to the time series data in order to analyze the periodic pattern and the fluctuation of each adjacent value in the smoothed data is measured to be modified to a simple data. Then, the periodic pattern is abstracted from the modified simple data, and the time series data is restructured according to the periods to produce periodic pattern data. In the experiment, the machine learning is applied to the periodic pattern data to predict outlier to see the results. The characteristics of analysis of the periodic pattern in this paper is not analyzing the periods according to the size of value of data but to analyze time periods according to the fluctuation of the value of data. Therefore analysis of periodic pattern is robust to outlier. Also it is possible to express values of time attribute as values in time period by restructuring the time series data into periodic pattern. Thus, it is possible to use time attribute even in the general machine learning algorithm in which the time series data is not possible to be learned.

• 한국응용과학기술학회지
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• 제30권4호
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• pp.612-621
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• 2013

지질 함량이 많은 식품에 방사선 조사여부 판별방법으로 적용가능한 hydrocarbons법의 전처리 추출공정을 개선하고자, 추출시간을 효율화 하고 추출용매의 사용을 줄일 수 있는 마이크로웨이브 추출법을 적용하였다. 국제 교역량이 가장 높은 농산물중 대두를 대상으로 방사선 조사(4 kGy)를 하여 hydrocarbons 분석에 대한 전처리 조건을 최적화하고자 하였다. 예측된 대두의 최적 추출범위는 extraction time 1.3-3.2분, microwave power 61-133 W로 나타났고, 예측된 범위에서 임의점을 설정하여 회귀식에 대입하여 최적값을 예측하였을 때 값은 microwave power와 extraction time이 각각 97 W과 2.2 분으로 확인되었다. 방사선조사 허가식품에 대해서 검지법의 분석결과의 정확성과 더불어 신속성이 요구되는 상황에서 hydrocarbons검지법 적용이 가능한 대두를 대상으로 MAE (micarowave-assisted extraction) 추출법을 적용한다면, 식품공전상의 현행 추출전처리(12-24시간)에 따른 분석시간을 줄이고 추출공정 개선이 가능할 것으로 본다.

• 한국응용곤충학회지
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• 제44권4호
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• pp.271-276
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• 2005

복숭아혹진딧물의 섭식행동을 관찰하기 위해, 고추, 무, 배추, 가지, 참외 등 5종류의 기주식물에서 EPG기술을 이용하였다. 복숭아혹진딧물의 구침이 식물체 표면에 접촉된 후 전기적 연결이 일어나기까지 소요되는 시간과 맨 처음 potential drop이 일어나기까지 소요된 시간, 구침의 세포간극내에서의 활동에 의하여 일어나는 potential drop의 수, 전기적 연결신호가 나타난 시점부터 체관부를 섭식하는 순간까지 소요된 시간 등을 조사한 결과 Potential drop 수에서는 기주들 사이에 유의성 있는 차이를 나타내었다. 그러나 나머지 요인에서는 기주식물들 사이에 큰 차이를 보이지 않았지만, 참외나 배추보다는 고추, 무, 가지에서 즘 더 기주선호성과 관련된 섭식패턴들을 확인할 수 있었다.

• Journal of applied mathematics & informatics
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• 제25권1_2호
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• pp.269-282
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• 2007

In this paper, we consider a two-dimensional fractional space-time diffusion equation (2DFSTDE) on a finite domain. We examine an implicit difference approximation to solve the 2DFSTDE. Stability and convergence of the method are discussed. Some numerical examples are presented to show the application of the present technique.