The complexity of dynamical laws governing 3D atmospheric flows associated with incomplete and noisy observations makes the recovery of atmospheric dynamics from satellite images sequences very difficult. In this report, we face the challenging problem of estimating physical sound and timeconsistent horizontal motion fields at various atmospheric depths for a whole image sequence. Based on a ve...

We present an application of artiicial neural networks to monitoring the tyre pressure of cars using acoustic data derived from vibrations recorded by an accelerometer. As a preprocessing step for feature extraction we perform a spectral analysis of the sound data. The components of the estimated power density spectrum are used as input patterns for the neural estimator. These patterns are used...

A general framework is presented for accurately and efficiently estimating the phenomenological pressure-dependent rate coefficients for reaction networks of arbitrary size and complexity using only high-pressure-limit information. Two aspects of this framework are discussed in detail. First, two methods of estimating the density of states of the species in the network are presented, including ...

Central aortic blood pressure (CBP) is increasingly considered a better cardiovascular prognostic marker than conventional cuff brachial blood pressure. Because CBP cannot be directly measured noninvasively, it has to be estimated from peripheral pressure pulses. To assess estimated CBP appropriately, the accuracy and features of the estimation method should be considered. The aim of this revie...

Plethysmographic assessment ofthoracic gas volume (TGV), using Boyle’s law during panting against an occluded airway, necessitates an estimation of alveolar pressure variations (SPA). In the widely used method introduced by DuBois et al in 1956,’ mouth pressure variations ( Pm) are taken as an estimate of SPA. However, these authors noted that in the presence ofcheek movements “the change in mo...

We created an algorithm to estimate the respiration signal, which consists of arterial blood pressure (ABP), and heart rate (HR) or RRI signals. Our goal is to create algorithmic models with which to estimate respiration by using signal processing and linear estimation. First, we created three algorithmic models: additive, amplitude modulation, and frequency modulation. Second, we used the outp...

Doppler echocardiography is commonly used to estimate systolic pulmonary artery pressure and to diagnose pulmonary hypertension, but data relating to its utility in patients with advanced lung disease are limited. In a cohort study of 374 lung transplant candidates, the performance characteristics of echocardiography compared with right heart catheterization in the determination of systolic pul...

in this study some thermodynamic parameters including freezing point, boiling point and the vapor pressure of urmia lake salt water were investigated as some important environmentally monitored physicochemical properties of urmia lake. in this regard salt concentration is chiefly responsible for the modification of the thermodynamic properties of urmia lake water which affects its overall envir...

• I Hwang, FM Kashif, GC Verghese, T Heldt. A frequency-domain approach to model-based noninvasive intracranial pressure estimation from arterial blood pressure and cerebral blood flow velocity. Invited contribution to the Minisymposium on Information Derived from the Arterial Blood Pressure Waveform and Its Significance. IEEE Engineering in Medicine and Biology Conference, San Diego, CA, Septe...

In sicker hearts, right atrial pressure (an estimation of right ventricle preload) are not equivalent to left atrial pressure (an estimation of left ventricle preload). Both right and left atrial pressures are frequently estimated using invasive techniques and also transthoracic echocardiography. While right atrial pressure is easy to obtain with transthoracic echocardiography, the assessment o...