The purpose of this work is the implementation of the program code that enables digital filtration on aJ-80 embedded JAVA processor. While working the implementation filter we need to provide the fastest calculation w...
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This paper studies the problem of stabilization of discrete-time linear systems with input time-delay and actuator saturation. By exploring some further intricate properties of a recently developed parametric Lyapunov...
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ISBN:
(纸本)9787894631046
This paper studies the problem of stabilization of discrete-time linear systems with input time-delay and actuator saturation. By exploring some further intricate properties of a recently developed parametric Lyapunov equation based low gain feedback design approach, an alternative approach is proposed to solving the problem by both state feedback and output feedback. This new approach is not only simpler than the methods that are based on the eigenstructure assignment technique, but also provides explicit conditions on value of the low gain parameter to guarantee the stability of the closed-loop system. Furthermore, the delay in the input is allowed to be time-varying in some cases.
This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain cal...
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ISBN:
(纸本)9781424472598;9780769540726
This paper develops a new trivariate hierarchical spline scheme for volumetric data representation. Unlike conventional spline formulations and techniques, our new framework is built upon a novel parametric domain called Generalized PolyCube (GPC), comprising a set of regular cubes being glued together. Compared with the conventional PolyCube (PC) that could serve as a "one-piece'' 3-manifold domain, GPC has more powerful and flexible representation ability. We develop an effective framework that parameterizes a solid model onto a topologically equivalent GPC domain, and design a hierarchical fitting scheme based on trivariate T-splines. The entire data-spline-conversion modeling framework provides high-accuracy data fitting and greatly reduce the number of superfluous control points. It is a powerful toolkit with broader application appeal in shape modeling, engineering analysis, and reverse engineering.
Proactive principle can be used not only in large distributed solution for medical centers, but it can be found usable in a many other solutions. One of them we found in an application to allow for people have a happy...
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Proactive principle can be used not only in large distributed solution for medical centers, but it can be found usable in a many other solutions. One of them we found in an application to allow for people have a happy wake up. A mobile device application was developed to solve a problem of bad wake up at morning for all the people. Sleep is a complex process regulated with our brain and as such is driven by 24 hour biological rhythm. Our biological clocks are controlled by chemical substances that are mostly known to us. wakeNsmile application is developed to react on users declared request in form of happy wake up at predefined time (Fig. 1). The time defined for alarm is however the latest possible time to wake up of user. We are trying to detect a body state in which the user is most able to wake up with a smile. Time period for detection analysis of state phases is declared to 30 minutes. A Fast Fourier Transformation (FFT) and some other sophisticated methods are used for it.
The purpose of this work is the implementation of the program code that enables digital filtration on aJ-80 embedded JAVA processor. While working the implementation filter we need to provide the fastest calculation w...
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The purpose of this work is the implementation of the program code that enables digital filtration on aJ-80 embedded JAVA processor. While working the implementation filter we need to provide the fastest calculation with the greatest accuracy. Next, it is almost always necessary for the results to be available after the same time from the sample upload. These matters determine the digital filtration as a problem called RT, which is the problem suitable for testing of the processor aJ-80 and its RT features. The work also describes the chosen task example, which examines RT features of this processor. We also mention the attained results and their evaluation. Based on the evaluation, the performance of the hardware program of the processor aJ-80 is very effective. In this respect, the product is recommended to use in many hard RT areas.
We introduce slow-light subwavelength plasmonic waveguides based on plasmonic analogues of periodically-loaded transmission lines and electromagnetically induced transparency. The structures consist of a metal-dielect...
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We introduce slow-light subwavelength plasmonic waveguides based on plasmonic analogues of periodically-loaded transmission lines and electromagnetically induced transparency. The structures consist of a metal-dielectric-metal waveguide side-coupled to a periodic array of metal-dielectric-metal stub resonators.
Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would b...
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Coronary artery heart disease is one of the main reasons of death in under development countries such as Iran. Based on vagueness in data and uncertainty in decision making finding an optimal way for diagnosis would be helpful. The main goal of this article is to change the linguistic terms which doctors use for representing coronary heart disease possibility into classified stages. Indeed the medical diagnosis can be used as an issue of pattern recognition by an input vector of features introduced to a system so the corresponding risk of a particular disease can be estimated with this system. In this paper we used an adaptive network-based inference system in order to assess the risk of coronary artery heart diseases .With this point of view that fault in medical diagnosis are more errors of omission than of commission, we are going to reduce this diagnosis defect with Neuro-fuzzy networks such as Multi-Layer Perceptron (MLP) and an inference Neuro-fuzzy network such as ANFIS. In the last section we will compare these methods to show that ANFIS can obtain the best accommodation with doctor's opinions.
The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquir...
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ISBN:
(纸本)9781424466238
The aim of this study is to assess the functional connectivity from resting state functional magnetic resonance imaging (fMRI) data. Spectral clustering algorithm was applied to the realistic and real fMRI data acquired from a resting healthy subject to find functionally connected brain regions. In order to make computation of the spectral decompositions of the entire brain volume feasible, the similarity matrix has been sparsified with the t-nearestneighbor approach. Realistic data were created to investigate the performance of the proposed algorithm and comparing it to the recently proposed spectral clustering algorithm with the Nystrom approximation and also with some well-known algorithms such as the Cross Correlation Analysis (CCA) and the spatial Independent Component Analysis (sICA). To enhance the performance of the methods, a variety of data pre and post processing steps, including data normalization, outlier removal, dimensionality reduction by using wavelet coefficients, estimation of number of clusters and optimal number of independent components (ICs). Results demonstrate the applicability of the proposed algorithm for functional connectivity analysis.
This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball ...
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ISBN:
(纸本)9789746724913
This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward controller (FFC-PFC) are presented.
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