The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
In this paper, we have presented a case study and implemented an online fault diagnosis scheme through parameter estimation to a belt conveyor system. Fault indicators are derived from the bond graph model and fault signatures are obtained algorithmically. Thereafter, the model is simulated with parametric fault in some components, and then faulty component is isolated through parameter estimation...
This paper presents a sampled-data design approach for decoherence control of a single qubit with operator errors. The required control performance is defined using a sliding mode domain and the control law is designed offline and then utilized online with a single qubit subject to decoherence with operator errors. Three cases are analyzed in detail including approximate amplitude damping decoherence,...
Processors with multiple cores and complex cache coherence protocols are widely employed to improve the overall performance. It is a major challenge to verify the correctness of a cache coherence protocol since the number of reachable states grows exponentially with the number of cores. In this paper, we propose an efficient test generation technique, which can be used to achieve full state and transition...
We consider data transmission through a time-selective, correlated (first-order Markov) Rayleigh fading channel subject to an average power constraint. The channel is estimated at the receiver with a pilot signal, and the estimate is fed back to the transmitter. The estimate is used for coherent demodulation, and to adapt the data and pilot powers. We derive the Hamilton--Jacobi--Bellman (HJB) equation...
In this paper, we consider identifying Auto Regressive with eXternal input (ARX) models for both Linear Time-Invariant (LTI) and Linear Time-Variant (LTV) systems. We aim at doing the identification from the smallest possible number of observations. This is inspired by the field of Compressive Sensing (CS), and for this reason, we call this problem Compressive System Identification (CSI).
Insight occurs when problem solutions arise suddenly and is associated with an “Aha!” experience. While much research on insight has focused on event-related, goal-directed neural responses, there is growing interest in the spontaneous, resting-state brain activity. A recent study using high-density electroencephalograms (EEG) has demonstrated a dependence of task-related processing on the preceding...
In real bio-systems, animals can combine multiple independent sources of information (sensory cues) to reduce uncertainty and improve perceptual performance. Despite intense recent interest in cue integration, the underlying neural mechanisms remains unclear. Continuous attractor neural network (CANN) can be interpreted as an efficient framework for implementing population coding and decoding. In...
The production and loading of wind farms are significantly influenced by the turbulence of the flowing wind field. Estimation of turbulence allows us to optimize the performance of the wind farm. Turbulence estimation is; however, highly challenging due to the chaotic behavior of the wind. In this paper, a method is presented for estimation of the turbulence. The spectral model of the wind is used...
We propose a new method to track a seismic horizon with a discontinuity due to a fault throw assumed to be quasi-vertical. Our approach requires the knowledge of the two points delimiting the horizon as well as the discontinuity location and jump. We deal with a non linear partial derivative equation relied on the estimated local dip. Its iterative resolution is based on a Poisson equation with incremental...
Based on the theory of Inverse Fast Fourier Transform (IFFT), the method of the time domain model of four road tracks is suggested. In addition to considering the coherence of left track and right track as well as the fact of time delay between rear track and front one of the vehicle, a method of the excitation of four wheels is derived. Through the simulation with different roads, the feasibility...
Nowadays, data are recorded with increasing spatial and temporal resolution. Commonly these data are analyzed using univariate or bivariate approaches. Most of the analysis techniques assume stationarity of the underlying dynamical processes. Here, we present an approach that is capable of analyzing multivariate data, the so-called renormalized partial directed coherence. It utilizes the concept of...
Multielectrode neurophysiological recording and functional brain imaging produce massive quantities of data. Multivariate time series analysis provides the basic framework for analyzing the patterns of neural interactions in these data. Neural interactions are directional. Being able to assess the directionality of neuronal interactions is thus a highly desired capability for understanding the cooperative...
A high-contrast inpainting scheme, based on the Complex Ginzburg-Landau equation, is successfully applied to restoration of SAR interferograms. The algorithm demonstrates quite effective in recovering the phase values in low coherence regions. The validation setup has been carried out in the presence of additive phase noise with a suitable probability density function. Results show that the application...
The development of the modern Global Positioning System (GPS) technique makes the real time monitoring of the generator status workable. However it is impractical and unnecessary to install GPS devices at all generators due to the high cost. Observations and calculations indicate that most of the generators in a large power system have some similar transient power angle characteristics. Therefore...
In this paper we provide a review of developments in the field of polarimetric SAR interferometry or POLInSAR, beginning with its origins in data from the SIR-C mission in 1994 and culminating in its latest application to Tandem-X, a space-borne single pass X-Band interferometer launched in 2010. Linking these two important developments in technology we trace the parallel development of signal processing,...
This paper demonstrates the application of the Gaussian-mixture model technique for separation of phase centres in an area containing the aggregate of scattering centres at multiple distances from the SAR sensor. Typically co-polar phase differences have a unimodal gaussian distribution over a diffuse scatterer with high interchannel coherence. This paper shows that in special conditions the phase...
The channel noise stemming from voltage-gated ion channels, which embedded in excitable neuronal membranes has a great impact on the production and propagation of the action potential in stochastic Hodgkin-Huxley (HH) neurons. In this study, we investigate the effects of sodium and potassium channels blockage and the average degree of connectivity on the spontaneous collective firing regularity on...
We present simulations of the decorrelation rate for a high and a low coherence light source in heterodyne light scattering geometry. Light scatters on an ensemble of particles of which the particle trajectories are calculated using a forced-diffusion model. The low coherence signal is constructed in the Fourier domain (as in Fourier-domain optical coherence tomography).
Although the missing data problem has been studied for many years, it is still a relevant and challenging problem nowadays. Data can be missing for a variety of reasons, and there are several techniques capable of processing missing data. A parcel of them tries to estimate the missing values. This technique is called imputation. Recently, it was proposed a biclustering algorithm, based on Swarm Intelligence,...
According to SAR image side-look geometry principle, this paper discussed the geometry co-registration, coherence coarse co-registration and coherence matrix over-sample fine co-registration. The accuracy is from low to high. In the end, the experiment was carried out using the SAR image pair that was collected by ERS-1/2, and the result was correct.
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.