作者:
P. ZarychtaInstitute of Electronics
Faculty of Autmatic Control Electronics and Computer Science Silesian University of Technology Gliwice Poland
This article shows a new method of the automatic registration of T1- and T2-weighted MR knee images. This method is based on the entropy and energy measures of fuzziness and can be used in localization process of cruc...
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This article shows a new method of the automatic registration of T1- and T2-weighted MR knee images. This method is based on the entropy and energy measures of fuzziness and can be used in localization process of cruciate ligament. First, two sequences (T1- and T2-weighted) are converted to a fuzzy representation. Then, the entropy and energy measures are employed in the NCC (normalized cross correlation) and GD (gradient difference) methods. The alignment based on energy and entropy fuzzy measures shows a significant improvement in comparison with the implementation of the original image
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be control...
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ISBN:
(纸本)1424401704
Repetitive processes are a distinct class of two-dimensional (2D) systems (i.e. information propagation in two independent directions occurs) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed ID here) or (most often) 2D systems theory. In this paper, we continue the development of an applications oriented systems theory for the sub-class of so-called discrete linear repetitive processes which arise in both systems theoretic and applications studies. The new results relate to the use of a so-called 2D Lyapunov equation in both stability analysis and control law design
Repetitive processes are a distinct class of two-dimensional (2-D) systems (i.e., information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled b...
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Repetitive processes are a distinct class of two-dimensional (2-D) systems (i.e., information propagation in two independent directions) of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard [termed one-dimensional (1-D) here] or 2-D systems theory. Here, we give new results on the relatively open problem of the design of control laws using an H infin setting. These results are for the sub-class of so-called differential linear repetitive processes which arise in applications
The extremum control of the high power induction traction motor is justified by the possibility to operate with minimum electrical power/energy, especially by partial load. The extremum control system is usually overl...
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The extremum control of the high power induction traction motor is justified by the possibility to operate with minimum electrical power/energy, especially by partial load. The extremum control system is usually overlapped to the speed (or torque) control system and is valid if a steady state, partial load of the operation is established. The authors analyze the problem of various modes of operation under reduced disturbances. Also, the analysis deals with the problem of the limits of the stable behavior of the extremum control system
Natural hazards, and especially earthquakes, are often recurring phenomena. Therefore, there is a permanent need for solutions to reduce earthquake losses by developing technologies, procedures, knowledge, and tools f...
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Natural hazards, and especially earthquakes, are often recurring phenomena. Therefore, there is a permanent need for solutions to reduce earthquake losses by developing technologies, procedures, knowledge, and tools for seismic design and rehabilitation of buildings and infrastructure. A key point to an effective decision making process that aims at mitigating their effects is building a model of the underlying facts. A Geographical Information System (GIS) is a framework able to assemble, keep, process and display specific information, identified by geographical location, which can combine layers of information to give the user a better understanding about that location. By using a Geographical Information System containing geospatial data, one can develop useful scenarios to reduce natural disaster risk and vulnerability of structures. In this paper, we describe a way of applying data mining techniques from the artificial intelligence field to earthquake analysis in order to make a better investigation of the available data. These methods are capable of finding "hidden" correlations among different subsets of data, which cannot be revealed by means of simple statistics.
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 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 unfolding and scaling of data have been applied to a pilot-scale SBR data. PCA is used to reduce the dimensionality and to remove the non-linearity dynamic of the data. Moreover, a new method to select the number of principal components is proposed. Loadings graphics are used to determinate the predominant variables for each one. The results show that whatever model can be applied depending on the goal of the monitoring, however the models implicate possible false alarms or faults omission.
Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either st...
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Repetitive processes propagate information in two independent directions and are of both systems theoretic and applications interest. They cannot be controlled by direct extension of existing techniques from either standard (termed ID here) or 2D systems theory. Here we give new results on the design of physically based feedforward/feedback control laws to achieve desired performance and disturbance decoupling in the sense defined in the body of the paper. The new results are for the case when only output (as opposed to state) information is used to activate the control law
In this paper, the results from a joint industry-academia project in industrial robotic force control are presented. The extension and implementation of an external sensor system for an industrial robot system, which ...
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In this paper, the results from a joint industry-academia project in industrial robotic force control are presented. The extension and implementation of an external sensor system for an industrial robot system, which can be used for high-bandwidth force control, are described. Results from two industrial applications using the system are presented, a stub grinding application using a new compliant grinding end-effector integrated with the robot control system, and a deburring application with a stiff tool requiring high-bandwidth force control in six degrees of freedom. Using the system an easily reconfigurable control structure was achieved, which was able to control contact forces with a sampling bandwidth of an order of magnitude higher than for conventional robot controllers
We propose a new method of speech enhancement based on auto gain control (AGC) using two channel inputs to deal with transient noises. Auto gain control is considered to be relatively ineffective for reducing noises t...
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This paper focuses on the suboptimal regulation of multivariable discrete-time bilinear systems consisting of interconnected bilinear subsystems with respect to a linear quadratic optimal regulation criterion which in...
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This paper focuses on the suboptimal regulation of multivariable discrete-time bilinear systems consisting of interconnected bilinear subsystems with respect to a linear quadratic optimal regulation criterion which involves the use of state weighting terms only. Three transformations are used in order to treat the scheme over an equivalent linear system. This leads to the appearance of quadratic weighting terms related to both transformed input and state variables. In this way, a Ricatti matrix-sequence allowing the synthesis of a standard feedback control law is obtained
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