The paper deals with the analysis of a discrete-time networked competitive bivirus susceptible-infected-susceptible (SIS) model. More specifically, we suppose that virus 1 and virus 2 are circulating in the population...
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Technology scaling reduces device threshold voltages to mitigate speed loss due to scaled supply voltages. This, however, exponentially increases leakage power and adversely affects circuit reliability. In this paper,...
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ISBN:
(纸本)0780365984
Technology scaling reduces device threshold voltages to mitigate speed loss due to scaled supply voltages. This, however, exponentially increases leakage power and adversely affects circuit reliability. In this paper, we investigate the performance degradation in high-leakage digital circuits. It is shown that deep submicron CMOS technologies lead to 60%-70% degradation in noise-immunity due to leakage. Dual-V/sub t/ domino designs mitigate the noise-immunity degradation to 30%-40% but inevitably lead to a loss of 20%-30% in circuit speed. To achieve a better noise-immunity vs. performance trade-off, a new dynamic circuit technique-the boosted-source (BS) technique is proposed. Simulation results of wide fan-in gates designed in the Predictive Berkeley BSIM3v3 0.13 /spl mu/m technology demonstrate 1.6X-3X improvement in noise-immunity at the expense of marginal energy overhead but no loss in delay, as compared with the existing circuit techniques.
Coronary heart disease (CHD) is one of the top causes of death globally;if suffering from CHD, long time permanent treatments are required. Furthermore, the early detection of CHD is not easy;doctors diagnose it based...
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The problem of least squares regression of a d-dimensional unknown parameter is considered. A stochastic gradient descent based algorithm with weighted iterate-averaging that uses a single pass over the data is studie...
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ISBN:
(纸本)9781479999897
The problem of least squares regression of a d-dimensional unknown parameter is considered. A stochastic gradient descent based algorithm with weighted iterate-averaging that uses a single pass over the data is studied and its convergence rate is analyzed. We first consider a bounded constraint set of the unknown parameter. Under some standard regularity assumptions, we provide an explicit O(1/k) upper bound on the convergence rate, depending on the variance (due to the additive noise in the measurements) and the size of the constraint set. We show that the variance term dominates the error and decreases with rate 1/k, while the constraint set term decreases with rate log k/k~2. We then compare the asymptotic ratio ρ between the convergence rate of the proposed scheme and the empirical risk minimizer (ERM) as the number of iterations approaches infinity. We show that p ≤ 4 under some mild conditions for all d≥ 1. We further improve the upper bound by showing that p ≤4/3 for the case of d = 1 and unbounded parameter set. Simulation results demonstrate strong performance of the algorithm as compared to existing methods, and coincide with p ≤ 4/3 even for large d in practice.
A formalism is presented which has been used to study the nonlinear evolution of the reactive beam‐plasma instability in the presence of wave coupling. Special consideration is given to describing the energy of the u...
A formalism is presented which has been used to study the nonlinear evolution of the reactive beam‐plasma instability in the presence of wave coupling. Special consideration is given to describing the energy of the unstable mode in deriving the coupled‐mode equations, and this results in a four‐wave model for the interaction. The results show that pump depletion can stabilize the linear instability, and also predict transitional behavior in saturation mechanisms which is observed experimentally.
The integral equation of Hallen's type is derived in the time domain. The solution of the integral equation is carried out numerically, and the electromagnetic behavior of linear antennas and scatterers under vari...
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The integral equation of Hallen's type is derived in the time domain. The solution of the integral equation is carried out numerically, and the electromagnetic behavior of linear antennas and scatterers under various excitations is presented. The integral equation may be used to obtain time‐domain responses of coupled parallel linear antennas, and scatterers with loads. Combining with the method of characteristics in solving transmission line problems, the integral‐equation formulation is applied to the cases in which antennas and scatterers are connected to transmission lines. Copyright 1973 by the American Geophysical Union.
Historically, for purposes of calibration, the Landsat 4 Thematic Mapper (TM) sensor has relied upon prelaunch calibration data, internal calibration data and very limited post-launch data. Landsat 4 additionally has ...
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ISBN:
(纸本)9781424428083
Historically, for purposes of calibration, the Landsat 4 Thematic Mapper (TM) sensor has relied upon prelaunch calibration data, internal calibration data and very limited post-launch data. Landsat 4 additionally has used Landsat 5 TM cross-calibration data. The availability of one more independent source, commonly called pseudo-invariant sites, can be used to improve the calibration of the sensor. Pseudo-invariant sites are mainly well characterized desert sites exhibiting the properties of high reflectance, high spatial and spectral uniformity, temporal stability and are nearly Lambertian to decrease BRDF and shadow effects. The successful update of the calibration of the Landsat 5 TM sensor using the pseudo-invariant site approach suggested using this approach to calibrate the Landsat 4 TM sensor [1]. The pseudo-invariant sites selected to characterize the Landsat 4 TM sensor are Middle East sites at Path 166, Row 39 and Path 166, Row 40. Previously, calibration attempts have been primarily based only on the internal calibrator (IC) and prelaunch data. The Landsat 5 internal calibrator was found to be unreliable approximately three years after launch. The Landsat 4 IC data also become questionable especially knowing that the internal calibrators for both the instruments were essentially identical. Thus, it is necessary to characterize the system with another independent and reliable source-in this case pseudo-invariant sites. Unfortunately, due to the unavailability of an adequate number of scenes at the site used for Landsat 5, the Middle East site of Path 166, Row 39 and Path 166, Row 40 were selected. A large drawback of these sites is that they are the locations of the First Gulf War in 1991. This negates the assumption that the surface and atmosphere did not change during the study period. To account for the change, radiometric correction was done using the known Landsat 5 gain signature. A correction factor, which is the ratio of the averages of Landsat 5 p
In this paper, a 50-kW 1-kV/6.25-kV medium voltage dual-active-bridge (DAB) transformer has been designed and tested. The shell-type transformer structure with stacked small cores is selected to integrate the leakage ...
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We present a microfluidic based interstitial fluid (ISF) transdermal extraction tool fabricated from polydimethylsiloxane (PDMS), designed towards the application of continuous glucose monitoring. This device consists...
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The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sensor sends to a fusion center an integer from {0, ...
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ISBN:
(纸本)9781424431236
The paper deals with decentralized Bayesian detection with M hypotheses, and N sensors making conditionally correlated measurements regarding these hypotheses. Each sensor sends to a fusion center an integer from {0, 1, ..,D - 1}, and the fusion center makes a decision on the actual hypothesis based on the messages it receives from the sensors so as to minimize the average probability of error. Such conditionally dependent scenarios arise in several applications of decentralized detection such as sensor networks and network security. Conditional dependence leads to a non-standard distributed decision problem where threshold based policies (on likelihood ratios) are no longer optimal, which results in a challenging distributed optimization/decision making problem. We show that, in this case, the minimum average probability of error cannot be expressed as a function of the marginal distributions of the sensor messages. Instead, we characterize this probability based on the joint distributions of these messages. We also provide some numerical results for the case where the sensors¿ measurements follow bivariate normal distributions.
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