This paper proposes a detection procedure for the interval change of two chest X-ray images with different rotation angles of the human body around the axis parallel to the projection plane (such as anterior-posterior...
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We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda reson...
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We employ set oriented methods in combination with graph partitioning algorithms to identify key dynamical regions in the Sun-Jupiter-particle three-body system. Transport rates from a region near the 3∶2 Hilda resonance into the realm of orbits crossing Mars’ orbit are computed. In contrast to common numerical approaches, our technique does not depend on single long term simulations of the underlying model. Thus, our statistical results are particularly reliable since they are not affected by a dynamical behavior which is almost nonergodic (i.e., dominated by strongly almost invariant sets).
We will argue in this paper that the nature and magnitude of model uncertainty dictate the appropriateness of the control system design methodology. To obtain these arguments, we will pursue optimality of the control ...
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We will argue in this paper that the nature and magnitude of model uncertainty dictate the appropriateness of the control system design methodology. To obtain these arguments, we will pursue optimality of the control system design. Note this is a philosophical paper , in which we present our arguments in qualitative terms . We will identify the circumstances under which several control system design methodologies are appropriate. The design methodologies that will be considered are (1) optimal control and optimal feedback design, (2) model predictive control (receding horizon control), (3) active and passive adaptive control and (4) robust control. Robust control strategies are conservative and limit the possible improvements that can be obtained over say classical PID control. However, it will turn out that for certain types of control problems, improvements in performance are indeed limited. Roughly speaking, the area where we may expect (significant) improvement from advanced (optimal) control system design is very much limited by the uncertainty of the systems model. Miracles are not to be expected from advanced control. What can be expected is reflected in an active adaptive optimal control scheme introduced and discussed in this paper.
Distributed processing of measurement results poses a number of challenges. Among important requirements are security, performance, robustness and ability to withstand network failures, need for flexibility and elegan...
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ISBN:
(纸本)9781634391887
Distributed processing of measurement results poses a number of challenges. Among important requirements are security, performance, robustness and ability to withstand network failures, need for flexibility and elegance of a proposed solution. We propose a novel approach to distributed processing, which capitalises on locality of data access. We propose a distributed software architecture that leverages a flexible consistency checking engine and takes advantage of software agency features in order to meet the mentioned distributed processing requirements.
The paper presents the conception of a soft control structure based on the time-optimal approach. Its parameters are selected in accordance with the rules of the statistical decision theory and additionally it allows ...
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The paper presents the conception of a soft control structure based on the time-optimal approach. Its parameters are selected in accordance with the rules of the statistical decision theory and additionally it allows the elimination of rapid changes in control values. The object is a basic mechanical system, with uncertain (also non-stationary) mass treated as a stochastic process. The methodology proposed here is of a universal nature and may easily be applied with respect to other uncertainty elements of time-optimal controlled mechanical systems.
New developments in computer networks and communications provide new possibilities for control purposes. controlsystems for highly complex plants are themselves very complex and heterogeneous. A new software infrastr...
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A nonlinear optimization-based identification procedure for fully parameterized multivariable state-space models is presented. The method can be used to identify linear time-invariant, linear parameter-varying, compos...
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Document analysis and understanding (DAU) systems aim not only at the recognition of text but also at the extraction of relevant information out of a scanned document. Numerous studies have introduced efficient algori...
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Document analysis and understanding (DAU) systems aim not only at the recognition of text but also at the extraction of relevant information out of a scanned document. Numerous studies have introduced efficient algorithms for document analysis, some of these studies proposed an articulated and/or a translation stage. Also little work has been done in the English/Arabic (E/A) translation area. The main objective of this paper is to introduce a combination between the three trends (document understanding, E/A translation, and handling the output in articulated voice). This paper focuses on the realization of a bilingual articulated E/A system based on optical character recognition (OCR). The input of the proposed system will be an English or Arabic text through scanner or video camera;the output will be an articulated voice. The proposed scheme consists of two phases. The first phase consists of many processes, beginning with converting scanned document into an electronic processable form. Then in the segmentation step, the essential problem in Arabic OCR, that is, how to cope with the various shapes of the same character, is solved. A new methodology for segmenting Arabic characters is presented. At the end of this phase an efficient method of text recognition based on hybrid description (ANN, FFT) is used. In order to verify the performance of this phase, experiments with printed text were performed. The error rates were less than 0.1%. Results showed that the proposed scheme in this phase is very robust. In the second phase, a database with 3000 audio files was encapsulated to convert each word from the input text (the output of the first phase) to its correspondence. This research can help in many real-time applications such as: (immediate translation, machine reader for blind people, learning...).
The stability and performance of telepresence systems with kinesthetic (force) feedback operated via a communication network mainly depends on the quality (delay, bandwidth) of communication. The combined position/for...
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The stability and performance of telepresence systems with kinesthetic (force) feedback operated via a communication network mainly depends on the quality (delay, bandwidth) of communication. The combined position/force control of teleoperation system with time delay using impedance matching filters to achieve robust passivity for the teleoperator/environment and transparency is discussed. The impedance matching filter design is the result of optimization in the frequency domain. An experimental telepresence system using realtime communication network emulation is used to show the validity of the proposed approach.
This paper is concerned with an application study of model-based fault detection method to a ship propulsion system. When modeling the object system, Quasi-ARMAX model with multi-model form is used. In this model, the...
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