Two estimation methods, namely the Extended Kalman Filter and the Receding Horizon State Estimator, were applied to a simulated batch solution polymerization reactor model. Parameter adaptive filters were found to be ...
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Two estimation methods, namely the Extended Kalman Filter and the Receding Horizon State Estimator, were applied to a simulated batch solution polymerization reactor model. Parameter adaptive filters were found to be extremely successful in tracking time-varying model parameters (e.g., reactor fouling and time-varying kinetic rate constants). Finally, the problem of estimating the initial process states was considered, and two estimation algorithms (e.g., the reiterative Kalman Filter and a non-linear optimization based estimator) were implemented to track the initial initiator concentration and the initial value of the overall heat-transfer coefficient in a batch polymerization reactor.
This paper presents a general methodology for developing nonlinear low-order model (NLLOM) from data collected from large detailed nonlinear models. This methodology is divided into two tasks: development of an averag...
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This paper presents a general methodology for developing nonlinear low-order model (NLLOM) from data collected from large detailed nonlinear models. This methodology is divided into two tasks: development of an average linear low-order model (ALLOM) and augmentation of the ALLOM with selected nonlinear terms to form the NLLOM. The tools required for the augmentation step that is the focus of this paper include stepwise regression and nonlinear optimization. Results will be presented for the application of these techniques in the development of an NLLOM from a detailed high purity air separation distillation column model supplied by Praxair, Inc.
Multivariate Statistical process Performance Monitoring (MSPPM) provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. This paper initiall...
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Multivariate Statistical process Performance Monitoring (MSPPM) provides a diagnostic tool for the monitoring and detection of process malfunctions for continuous and batch manufacturing processes. This paper initially reviews the concept of process performance monitoring through an industrial application to a fluidised bed-reactor and a simulation of a batch methyl methacrylate polymerisation reactor, prior to describing some of the more recent work being carried out. This includes the development of performance monitoring schemes from minimal process data, the use of multi-block techniques for plant-wide monitoring and the development of generic models for the monitoring of multiple products, grades or recipes.
Multivariate statistical procedures for developing two inferential models concerning the operation of batch reactors are presented. A linear statistical model, based upon Multi-way Projection to Latent Structures, is ...
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Multivariate statistical procedures for developing two inferential models concerning the operation of batch reactors are presented. A linear statistical model, based upon Multi-way Projection to Latent Structures, is first developed for the estimation of the initial process conditions using only a few on-line process samples collected, at an early stage of the polymerisation. The second model, based upon classical PLS, provides predictions of the final polymer properties using only the initial conditions of the batch operation. Issues associated with the application of the proposed technique to batch reactors is also discussed. Finally the developments are applied to a comprehensive batch methyl-methacrylate (MMA) polymerisation reactor simulation.
The shape of articulated objects such as the human body can be simplified into a stick model which is represented by connections of several circular generalized cylinders (GCs). The authors propose a new image feature...
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The shape of articulated objects such as the human body can be simplified into a stick model which is represented by connections of several circular generalized cylinders (GCs). The authors propose a new image feature called cue circles (CCs), and present a method for obtaining CCs from input images. Using CCs, 3D motion of the human body is measured from a sequence of boundary contour image pairs, which is obtained by an active binocular sensor system. The body model used is represented by a set of cue spheres (CSs), each of which is located at ends of GCs. Stereo matching for recovering the body model is carried out by finding pairs of CCs between the pair of contour images under consideration: a CS is projected on the two image planes as its corresponding CCs.
Image processing systems, each consisting of massively parallel photodetectors and digital processing elements on a monolithic circuit, are being developed by several researchers. This approach is promising for applic...
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Image processing systems, each consisting of massively parallel photodetectors and digital processing elements on a monolithic circuit, are being developed by several researchers. This approach is promising for applications in robot vision and visual inspection. Some early vision-like processing algorithms, such as edge-detection, smoothing and thinning, are installed in the vision systems. However, they are not sufficient for applications because their output is in the form of pattern information, so that, in order to respond to input, some feature values are required to be extracted from the pattern. We propose a method for extracting feature values associated with images in a massively parallel vision system. The feature can be a complex one, such as the rotation angle of an object, if the feature value changes continuously as the image changes. The method is based on the eigenspace method, but modified to be robust. In addition, we propose some computation accelerating methods and report some experimental results.
The precedence effect being a topic of continuous theoretical interest in hearing research,however,cannot be predicted explicitly by a model until so *** this paper,an acho-avoidance mechanism is proposed by assuming ...
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The precedence effect being a topic of continuous theoretical interest in hearing research,however,cannot be predicted explicitly by a model until so *** this paper,an acho-avoidance mechanism is proposed by assuming that the precedence effect is caused by the inhibition of sound localization which depends on the estimated soundto -echo *** assume there is a neural echo estimation mechanism in the human auditory *** is found that a temporal pattern of aftereffect with delay and decay features,which is adopted from the previous psychological tests on the increase of the perceptual threshold of interaural time difference following a preceding impulsive sound, can be used for echo *** results of psychological experiments,***-level and unequal-level paired click tests,Haas's tests,Franssen's tests and others,can be interpreted consistently.
A model-based bio-mimetic sound localization method has been proposed for concurrent and continuous speech sources located in reverberant environment. However, the method only provides the estimation of azimuths of so...
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A model-based bio-mimetic sound localization method has been proposed for concurrent and continuous speech sources located in reverberant environment. However, the method only provides the estimation of azimuths of sound sources. The current paper is to extend the previous method to be available for sound sources existing in the 3D space by using a four microphone set. As the procedure of signal processing, arrival time differences of different microphone pairs are calculated at each available onset of sound components. The locus circles of different microphone pairs in the surface of Gaussian Sphere are then calculated and projected topographically to a horizontal plane, which consists the north pole, by the south pole projection. A two dimensional histogram in the projected plane corresponding to the source direction is created by summing all the projected maps of every onsets. Finally, the directions of sound sources are determined by the position of the major peaks in the two-dimensional histogram.
The mechanochemistry of a novel economical solid‐state shear extrusion (SSSE) pulverization is investigated. SSSE compatibilizes incompatible blends in situ; the process has great potential in recycling of post‐cons...
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