• Annual Conference of KIPS
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• 2011.11a
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• pp.52-55
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• 2011

Embedded system developers use design and testing tools to make their product faster. Previously developed a virtual development environment for embedded software (VDEES) using open source software, mainly the SID simulation framework for a simulator engine and the Eclipse platform for a development platform. VDEES enables developers to develop SID Component in C++. A bridge module for developing SID Component in Java has been developed and available. However, using this module, developers have to build their SID Java component from scratch. In this work, we developed SID Java Component Builder Plug-in as an additional features to VDEES. This tools enables developers to build SID Component in Java faster and easier.

• Annual Conference of KIPS
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• 2010.11a
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• pp.1635-1637
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• 2010

Simulation tools help creating a low cost and efficient development of embedded system. SID is an open source simulator software that consists library of components for modelling hardware and software components. A component can be written in C/C++ and Tcl/Tk. Currently, the SID simulation toolkit only provides support for C++ and Tcl/Tk. Tcl/Tk is used to write GUI-based components. However, we have observed that Tcl/Tk components cause slow simulation response because Tcl/Tk is a script language. It is not proper for developing the cutting-edge products with rich graphics. Therefore, in this paper, we suggest Java to a new language for GUI components in SID by developing a bridge module for SID to interworking with Java components.

• Journal of Information Processing Systems
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• v.8 no.1
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• pp.101-118
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• 2012

Embedded products are becoming richer in features. Simulation tools facilitate low-costs and the efficient development of embedded systems. SID is an open source simulation software that includes a library of components for modeling hardware and software components. SID components were originally written using C/C++ and Tcl/Tk. Tcl/Tk has mainly been used for GUI simulation in the SID system. However, Tcl/Tk components are hampered by low performance, and GUI development using Tcl/Tk also has poor flexibility. Therefore, it would be desirable to use a more advanced programming language, such as Java, to provide simulations of cutting-edge products with rich graphics. Here, we describe the development of the Java Bridge Module as a middleware that will enable the use of Java Components in SID. We also extended the low-level SID API to Java. In addition, we have added classes that contain default implementations of the API. These classes are intended to ensure the compatibility and simplicity of SID components in Java.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.3 no.4
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• pp.895-905
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• 1999

This paper identifies a linear time-invariant mathematical model of each stand of a five-stand tandem cold mill to design a robust $H_\infty$ thickness controller by applying input and output data sets to N4SID (Numerical algorithms for Subspace State Space System Identification) method. The input-output data sets describe interstand interference in the process of tandem cold rolling and are obtained from a nonlinear simulator of the tandem cold mill. In result, it is shown that the identified model well approximates the nonlinear model than a Taylor linearized model. Furthermore, uncertainties including roll eccentricity and incoming strip variation are quantitatively analyzed from the plot of maximum singular values.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.8
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• pp.78-86
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• 2000

This study identified a linear time-invariant mathematical model of each stand of a five-stand tandem cold mill. Two model identification methods are applied to construct a linear model of each stand of the tandem cold mill. For the model identification the input-output data that have interstand interference property in tandem cold rolling are obtained from a nonlinear simulator of the tandem cold mill. And a linear model of each stand is identified with N4SD(numerical algorithms for subspace state space system identification) method based on a state-space model and Least Square algorithm based on a transfer function. Furthermore a modeling error of the tandem cold mill is quantitatively analyzed from a maximum singular value plot of error function between an identified nominal model and uncertain model. In conclusion the comparison of the output signals between the existing Taylor linearized model the identified linear model and the nonlinear model of the tandem cold mill shows the accuracy and the applicability of the proposed identified model.