Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. We use work in behavioral theory for nD linear systems to characterize poles for the case of so-called discrete linea...
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ISBN:
(纸本)0780366387
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. We use work in behavioral theory for nD linear systems to characterize poles for the case of so-called discrete linear repetitive processes. A unique feature is that the resulting poles lead to a physically based interpretation of stability for these processes.
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite dur...
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ISBN:
(纸本)0780366387
Repetitive processes are a distinct class of 2D systems of both practical and theoretical interest. Their essential characteristic is repeated sweeps, termed passes, through a set of dynamics defined over a finite duration with explicit interaction between the outputs, or pass profiles, produced as the process dynamics evolve. Experience has shown that these processes cannot be studied/controlled by direct application of existing theory. This fact, and the growing list of applications areas, has prompted an ongoing research programme into the development of a 'mature' systems theory for these processes for onward translation into reliable generally applicable controller design algorithms. This paper develops stability tests for a sub-class of so-called differential linear repetitive processes in the presence of a general set of initial conditions, where it is known that the structure of these conditions is critical to their stability properties.
This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces t...
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This paper describes a design of an associative memory array processor that can be used in the acquisition and processing of ultrasonograph images. The major concept is to design a parallel architecture that reduces task's execution time by analyzing multiple parts of the image concurrently. The architecture constitutes a distinctive type of single-instruction stream, multiple-data stream machine that is built around content-addressable associative memory slabs, that allow parallel access of multiple memory words. The basic building block of this architecture is a one-pixel processing element, which can perform the standard load (data acquisition) function and also contains some special comparison logic to enable its content to be compared with an external data. Several image processing operations are implemented in parallel, among them: component labeling, size filtering, pattern centralization, and pattern recognition. The proposed novel architecture can label specific regions into the image and isolate them intelligently. It is also capable of storing templates that may be considered as references for similar cases. The system is able to perform learning process and extract features from several input patterns and store the reference pattern in a slice. Moreover, the system is capable of comparing an input image with a pre-stored template during recognition process. The proposed architecture is of interest because it speeds up the recognition process and helps radiology specialists to write their reports confidently.
We seek to build CIS research systems within a flexible, open architecture. In this paper, we outline our solutions to the problems of system design, construction, and integration in this environment: building distrib...
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In many embedded control system applications, the control algorithm includes both logical and data flow portions. We apply formal methods of system verification to discrete-state algorithms. Specifically, we make use ...
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ISBN:
(纸本)0780365666
In many embedded control system applications, the control algorithm includes both logical and data flow portions. We apply formal methods of system verification to discrete-state algorithms. Specifically, we make use of a formal model checking tool to prove or disprove various properties of the algorithm. Questions pertaining to the achievability of states and paths and proper variable assignment are cast as logical assertions in computation tree logic (CTL), and evaluated using the model checker. In addition, we describe an approach for generating scenarios; that is, a sequence of inputs and parameters that will take a discrete-state system model through a given sequence. We present several examples illustrating various questions that the designer may wish to pose, and an appropriate CTL assertion for each.
A number of neural network models and training procedures for time series prediction have been proposed in the technical literature. These models typically used uni-directional computation flow or its modifications. I...
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A number of neural network models and training procedures for time series prediction have been proposed in the technical literature. These models typically used uni-directional computation flow or its modifications. In this study a novel concept of bi-directional computation style is proposed and applied to prediction tasks. Since the coupling effects between the future prediction system and the past prediction system help the proposed model improve its performance, it is found that the prediction score is better than with the traditional uni-directional method. The bi-directional predicting architecture has been found to perform better than the conventional one when tested with standard benchmark sunspots data.
This paper describes an algorithm to implement image filtering and enhancement operations by processing adaptive triangular meshes that represent gray-level images. Experimental results show that these operations are ...
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ISBN:
(纸本)0780362977
This paper describes an algorithm to implement image filtering and enhancement operations by processing adaptive triangular meshes that represent gray-level images. Experimental results show that these operations are significantly more efficient when they are performed upon triangular meshes than by sequentially processing all the pixels contained in the given images.
Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic ...
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Linear repetitive processes are a distinct class of 2D linear systems of both theoretical and practical interest. The stability theory for these processes currently consists of two distinct concepts termed asymptotic stability and stability along the pass respectively where the former is a necessary condition for the latter. Recently applications have arisen where asymptotic stability is too weak and stability along the pass is too strong for meaningful progress to be made. This paper develops the concept of strong practical stability for such cases.
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on...
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ISBN:
(纸本)0769507506
Proposes a texture modelling method based on the pattern spectrum. The pattern spectrum is a mathematical morphological method to describe the size distribution of objects contained in an image. Our method is based on the idea of obtaining a model of the elementary particles that form a texture by optimizing a gray scale structuring element to fit the shape of elementary particles. The optimization method is applied in two stages: the first stage optimizes the extent of the structuring element and the second optimizes the pixel values in the extent.
A new algorithm for approximating intensity images with adaptive triangular meshes keeping image discontinuities and avoiding optimization is presented. The algorithm consists of two main stages. In the first stage, t...
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