This paper deals with the problem of identification and semiactive control of smart structures subject to unknown external disturbances such as earthquake, wind, etc. The experimental setup used is a 6-story test stru...
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This paper deals with the problem of identification and semiactive control of smart structures subject to unknown external disturbances such as earthquake, wind, etc. The experimental setup used is a 6-story test structure equipped with shear-mode semiactive magnetorheological actuators being installed in WUSCEEL. The experimental results obtained have verified the effectiveness of the proposed control algorithms.
Bias (lag) errors seriously limit tracking capabilities of adaptive filters. We show that frequency biases, which arise in generalized adaptive notch filtering algorithms, can be reduced if the frequency estimates are...
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Bias (lag) errors seriously limit tracking capabilities of adaptive filters. We show that frequency biases, which arise in generalized adaptive notch filtering algorithms, can be reduced if the frequency estimates are appropriately filtered. This allows one to build estimation schemes with improved tracking capabilities.
The data set of batch biological and biotechnological processes can be organized in a three-way data matrix. In this paper the usefulness of different PCA approaches for monitoring is analyzed. Different ways of unfol...
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The growth in embedded systems applications and sophistication increased the need for rapid development and modeling of embedded processors. Embedded processors are usually application specific. This causes the strong...
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ISBN:
(纸本)1424402719;1424402727
The growth in embedded systems applications and sophistication increased the need for rapid development and modeling of embedded processors. Embedded processors are usually application specific. This causes the strong need for modeling environments that can be used for rapid generation of detailed micro-architecture processor simulators. However, existing simulation tools in this category are far less mature and mostly commercial. This paper presents a generic cycle-accurate micro-architecture simulation framework for embedded processors. The framework is designed to generate an RTL (register transfer level) cycle accurate simulator. The framework is built in Java to provide features like extensibility, ability to be changed easily and platform independence. It provides the above features while being as fast as most known available frameworks. The paper uses ARM1022E as an example for embedded processors due to its wide range of applications like modems, cellular phones and automobiles. It simulates its two instruction set architectures (ISA): ARM (32-bit ISA) and THUMB (16-bit ISA). The paper verifies the framework by comparing the ARM simulator with ARMulator (from ARM Ltd.). It also compares the current simulation speed with available known frameworks. Lastly, the paper provides a study of ADPCM (adaptive differential pulse code modulation) decode performance on the ARM1022E processor using the framework
作者：
Piotr ZarychtaDivision of Telecomunications
Institiute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 2371495
Image registration is the process of overlaying images of the same scene. As we search for the best alignment of the two images by transforming one into the other, it is a very crucial issue to assess how similar two ...
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Image registration is the process of overlaying images of the same scene. As we search for the best alignment of the two images by transforming one into the other, it is a very crucial issue to assess how similar two images actually are. The next step in computer aided diagnosis is called “assessment of the similarity”. There are two main classes of similarity measures namely feature-based and intensity-based. In this paper two similarity measures: NCC -normalized cross correlation and GD -gradient difference are mentioned. Normalized Cross Correlation has been used for various registration problems, because difference in contrast and brightness should not affect the similarity measure. Goal the current study is to align T1-weighted and T2-weighted MR knee slices. Both sequences are converted to a fuzzy representation. Then, the entropy and energy measures are employed in the NCC and GD methods. The alignment based on energy and entropy fuzzy mcasures shows a significant improvement in comparision with thc implementation of the original image.
作者：
Wojciech WięlawekDivision of Telecomunications
Institiute of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 23714 95
Abstract There are edge based segmentation approaches among the set of methods utilized to image segmentation. This type of methods analyse image gradient features (like the first, the second derivative or them modifi...
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Abstract There are edge based segmentation approaches among the set of methods utilized to image segmentation. This type of methods analyse image gradient features (like the first, the second derivative or them modification). Perfect tool to image processing is wavelet transformation which enables edges detection and often gets better results. In this paper wavelet transformation advantages was utilized. This tool was used to cost map definition. Cost map is a matrix which informs how many features of boundary each pixel possess. Then this cost map definition was applied to live-wire method. The method is semi-automatic and requires user interaction rely on points specification.
作者：
Piotr ZarychtaDivision of Telecomunications
Institiule of Electronics Faculty of Automatic Control Electronics and Computer Science Silesian University of Technology Postal address: Akademicka 16 44-100 Gliwice Poland Phone: (048) 32 2371495
Abstract This article shows a new method of the cruciate ligament localization in T1-and T2-weighted MR knee images. Cruciate ligament localization allows to reduce number of sliccs used in 3D rendering. The analysis ...
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Abstract This article shows a new method of the cruciate ligament localization in T1-and T2-weighted MR knee images. Cruciate ligament localization allows to reduce number of sliccs used in 3D rendering. The analysis is performed on T1-and T2-wcightcd MR knee images. Each slice is subjected to two-dimensional entropy and energy measurements of fuzziness. Then, a fuzzy c-means clustering technique modified by introducing additionally to the objective function a median estimator is implemented. The class reflecting soft tissue is subjected to similarity measures which compare a local image intensity. A detailed local analysis, based on image profile models, yields a 3D region of interest (ROI) which includes the posterior and anterior cruciate ligament. Finally, fuzzy techniques applied to the ROI histogram analysis enhances the contrast and views the 3D region.
This paper undertakes the problem of parametric yield enhancement by means of evolutionary computation techniques. This subject is an extremely important element of analogue circuit CAD and only heuristic approaches a...
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This paper undertakes the problem of parametric yield enhancement by means of evolutionary computation techniques. This subject is an extremely important element of analogue circuit CAD and only heuristic approaches are applicable, since the problem belongs to NP-hard category. This paper proposes an entirely new approach to the problem, based on evolutionary computation techniques and Monte Carlo simulations. Design guidelines for yield optimization are described. The approach is verified on benchmark examples and significant improvement, when compared with other design methods, can be observed
key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper present...
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key phase in the design process of software for distributed systems is the allocation of the software components to the available hardware. A problem arises when a software/hardware mismatch occurs. This paper presents a solution to that problem by introducing a technique that guarantees efficient allocation of predefined scheduled object-oriented software components to the available hardware based on genetic algorithm. The allocation is to be made dynamically in a system with a predefined schedule. We thus modified the parameters of the genetic search technique to allow converging to the best solution in a relatively short time to be suitable for the dynamicity of the allocation. The performance of the allocation technique is evaluated in terms of the time cost (CPU clock pulses for more generality) required for the GA search to converge to the optimal allocation structure of the software components. The results obtained by the proposed technique are compared against the results from the branch-and-bound search technique. The experimental results indicate the effectiveness of the proposed technique in reaching the optimal allocation in considerable time, showing that it requires much less time than branch-and-bound.
Continuing the papers by Tulbure et al. (2004), are presented some significant results of numerical simulations for railway traction motors, which can be treated as components of electrical locomotives EC-43, by 3.6 M...
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Continuing the papers by Tulbure et al. (2004), are presented some significant results of numerical simulations for railway traction motors, which can be treated as components of electrical locomotives EC-43, by 3.6 MW, with 80t mass. For the starting mode of operation in frequency steps of Deltaf=2.5 Hz, with the slip S c =0.1, are interesting the evolution and interpretation of r.m.s. values of input voltage U 1 [V], stator current I 1 [A], traction force F T [t], developed power P[kW] and speed v[km/h]. It is imposed the maintenance of excitation flux at nominal value Psi=2.73[Wb]
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