A technique is presented for using the Kramers-Kronig (KK) relations to evaluate the consistency of impedance data that do not exhibit a DC limit. The approach presented here differs from current algorithms because ex...
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A technique is presented for using the Kramers-Kronig (KK) relations to evaluate the consistency of impedance data that do not exhibit a DC limit. The approach presented here differs from current algorithms because extrapolation of experimental data, required to evaluate the integral relations, is achieved without the assumption of an equivalent circuit and without extrapolation of polynomial fits of the available data. The impedance values below the lowest measured frequency omega-min are calculated, which would "force" the available data to satisfy the KK relations. Consistent data set have been shown to yield calculated impedance values which are finite and continuous with the experimental data at omega-min. Discontinuities between the calculated impedance and the experimental data set can be attributed to violation of one or more conditions of the KK relations. The proposed algorithm is applied to experimental impedance data obtained for a metal hydride electrode and a rotating copper-disk electrode. The technique is shown to be sensitive for testing violations of the stability condition and is used to identify a lower frequency bound for data that satisfy the KK relations. The implications to equivalent circuit fitting procedures and to the estimation of the polarization resistance are discussed.
A computer algorithm is explained in order to determine the performance of capacitor self-excited induction generators (SEIG) taking the machine design details as the input data. The magnetisation characteristic which...
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A computer algorithm is explained in order to determine the performance of capacitor self-excited induction generators (SEIG) taking the machine design details as the input data. The magnetisation characteristic which forms the basis of analysis is obtained using theB/Hcurve of the core material and by employing a curve-fitting technique. The predicted parameter and performance characteristics of a normal induction motor operating as SEIG are compared with corresponding experimental results. Effects of variation of realistic design parameters are studied to obtain guidelines on optimum design. Typical results on a range of normal induction machines are presented to assess their suitability as SEIG.
Many studies have attempted to monitor fatigue from electromyogram (EMG) signals. However, fatigue affects EMG in a subject-specific manner. We present here a subject-independent framework for monitoring the changes i...
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Many studies have attempted to monitor fatigue from electromyogram (EMG) signals. However, fatigue affects EMG in a subject-specific manner. We present here a subject-independent framework for monitoring the changes in EMG features that accompany muscle fatigue based on principal component analysis and factor analysis. The proposed framework is based on several time-and frequency-domain features, unlike most of the existing work, which is based on two to three features. Results show that latent factors obtained from factor analysis on these features provide a robust and unified framework. This framework learns a model from EMG signals of multiple subjects, that form a reference group, and monitors the changes in EMG features during a sustained submaximal contraction on a test subject on a scale from zero to one. The framework was tested on EMG signals collected from 12 muscles of eight healthy subjects. The distribution of factor scores of the test subject, when mapped onto the framework was similar for both the subject-specific and subject-independent cases.
Network flow analysis relies on mathematical techniques to gain knowledge about network structure in real and theoretical systems. From a two-dimensional representation of the flow of material, energy, or information ...
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Network flow analysis relies on mathematical techniques to gain knowledge about network structure in real and theoretical systems. From a two-dimensional representation of the flow of material, energy, or information in a network, indices and matrices provide non-obvious knowledge about the system. Where the indices and matrices are described in the literature, researchers rarely find an algorithm or computer code example to facilitate the inclusion of the technique into their projects. Researchers are forced to code the algorithms from scratch, which can be difficult, or obtain them from other investigators, which is time-consuming. In this paper, I describe the most popular network flow analysis indices and matrices with reference to relevant citations and supply algorithms and free software for their calculation. I also propose that researchers adopt a consistent set of primary symbolic letter designations for the indices and matrices. (c) 2005 Elsevier B.V. All rights reserved.
In this paper, the control design problem of linear discrete-time uncertain systems with time-varying uncertainties is considered. A computer algorithm is developed to find the controller gains that asymptotically sta...
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In this paper, the control design problem of linear discrete-time uncertain systems with time-varying uncertainties is considered. A computer algorithm is developed to find the controller gains that asymptotically stabilize the uncertain systems. The stabilization scheme is based on the constructive use of Lyapunov theory. The theoretical results are applied to different examples.
Many power system circuits contain iron cored coils, which are common nonlinear circuit elements. Systems engineers have to model these elements while studying such phenomena as inrush current, ferroresonance, subharm...
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Many power system circuits contain iron cored coils, which are common nonlinear circuit elements. Systems engineers have to model these elements while studying such phenomena as inrush current, ferroresonance, subharmonics etc. The nonlinearity involved in these elements cannot be appropriately taken into account unless due regard is given to the damping effects on account of hysteresis. This paper attempts to simulate digitally the appropriate paths ofB/Hexcursions in a piecewise linear manner when the magnetic core is subjected to random variations of magnetic field intensity and sets up a computer algorithm. The algorithm may be used in digital analysis of systems containing iron cored coils.
An analytical-type solution based on the superposition method is developed for the free-vibration frequencies and mode shapes of rectangular plates resting on arbitrarily located rigid point supports. The supports are...
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An analytical-type solution based on the superposition method is developed for the free-vibration frequencies and mode shapes of rectangular plates resting on arbitrarily located rigid point supports. The supports are of the type realized by means of bolts or spot welds. An extensive experimental program was conducted in support of the project, and excellent agreement between computed and experimental results was obtained. While the analysis is general in nature, it will be highly applicable to the study of vibration of electronic circuit boards and solar panels.
A solar simulator utilizing nine 30-kW xenon ape lamps was built to provide radiant power for testing a solar dynamic space power system in a thermal vacuum environment. The advanced solar simulator achieved the follo...
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A solar simulator utilizing nine 30-kW xenon ape lamps was built to provide radiant power for testing a solar dynamic space power system in a thermal vacuum environment. The advanced solar simulator achieved the following values specific to the solar dynamic system: 1) a subtense angle of 1 deg;2) the ability to vary solar simulator intensity up to 1.7 kW/m(2);3) a beam diameter of 4.8 m;and 4) uniformity of illumination on the order of +/-10%. The flexibility of the solar simulator design allows for other potential uses of the facility.
We propose an algorithm for constructing minimax D-optimal designs for the logistic model when only the ranges of the values for both parameters are assumed known. Properties of these designs are studied and compared ...
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We propose an algorithm for constructing minimax D-optimal designs for the logistic model when only the ranges of the values for both parameters are assumed known. Properties of these designs are studied and compared with optimal Bayesian designs and Sitter's (1992, Biometrics, 48, 1145-1155) minimax D-optimal kk-designs. Examples of minimax D-optimal designs are presented for the logistic and power logistic models, including a dose-response design for rheumatoid arthritis patients.
Engine thrust vectoring (TV) is a potential technology for military and future civil aircraft in which the Technion-Israel Institute of Technology has made significant contributions. This paper provides realistic pred...
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Engine thrust vectoring (TV) is a potential technology for military and future civil aircraft in which the Technion-Israel Institute of Technology has made significant contributions. This paper provides realistic predictions of steady-state engine performance during steady-state pitch vectoring. The results obtained comprise a required fundamental step for advanced aircraft/TV implementation. This work is a part of the Lockheed Martin yaw-pitch TV F-16/F-100 research study conducted here at the Jet Laboratory. To this end, a unique TV-engine computer algorithm has been developed that expands the conventional steady-state modeling capabilities of on- and off-design as well as the conventional transients (via throttle changes) to create steady-state and dynamic TV-engine simulations at various altitudes and Mach numbers. This paper reviews the steady state performances and the optimization observations initially obtained. The subcritical flow realm of nozzle performance provides trends aiding in the prediction of thrust benefits beyond the conventional nozzle design of the F100 model are available as the effective nozzle throat area is allowed to contract through vectoring.
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