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It is well-known that the wavelet transform is a very useful mathematical tool for scale analysis, with very accurate frequency components estimation for the input signal. In this paper, we propose a new efficient method for QRS detection by employing the Stationary Wavelet Transform (SWT) also known as short wavelet transform. Our approach has been tested over MIT/BIH benchmark database. The obtained...
Cell nucleus characterization is essential for pathological image analysis. In this article, we propose a shape characterization of the cell nucleus based on some selected shape descriptors. In order to separate automatically the different cell nucleus shapes, we focus our effort on the feature extraction and classification processes. The main contribution of our work is the creation of a new shape...
In this paper, we propose a patched-based deep Boltzmann shape priors for visual tracking. The shape priors are generated from deep Boltzmann machine network. The network consists of three layers of hidden and visible units. The generated shapes not only maintain general shapes from a variety of poses, but also entail local modifications with high probability.
This paper presents the optimization scheme to improve the interruption performance of a gas circuit breaker, which must carry out the interruption duty within specific arcing time for successful operation. The systematic process of design optimization was proposed by using the Bezier curve and sequential approximation technique for satisfying both medium and maximum arcing time. Depending on the...
In this work, the authors introduce a non stationary time-frequency domain decomposition technique for modeling high resolution sea backscatter. In doing this, empirical mode decomposition (EMD) method is applied firstly for denoising the in-phase and the quadrature-phase components. Then, the maximum likelihood estimation (MLE) method is employed in the intensity domain to estimate the shape and...
Insulating liquid, because of high breakdown strength and superior self-recovery property, is widely applied to intense electron beam accelerator, transformer, and superconducting fault current limiters, etc. However, the formation of bubbles caused by heat transfer in power equipment seriously hurts the performance of the insulating strength in liquid. The objective of this paper is to study the...
Notch antenna is constructed by slotting an edge of rectangular patch placed on a substrate over ground plane. Analysis of the notch antenna is complicated and very difficult due to having non-uniform shape. In this work, a novel formulation is proposed for calculating the resonant frequency of the notch antennas. The formulation regarding the resonant length of the antenna reflecting the impact of...
We present a cost-efficient GHz-wide arbitrary-shaped microwave photonic filter based on stimulated Brillouin scattering in fiber. By employing a directly-modulated laser with well-designed current waveform and feedback adjustment, the filter shape has been arbitrarily controlled with high precision.
This paper develops a framework for complex shape modeling with geometrical primitives. A skeleton based approximation method called Adaptive Circular Generalized cylinders (ACGC) is proposed for the description of natural porous media cavities using nondestructive images. The cavities skeleton are first approximated by spline curve running through a set of balls centers. Then, the ACGCs surfaces...
Automatic liver segmentation from abdominal Computed Tomography (CT) is an important step for hepatic disease diagnosis. It is a challenging task owing to the similarity between liver and its adjacent organs and the low contrast of liver texture (e.g. tumors and blood veins). In this paper, we propose a cascaded structure to automatically segment liver in CT scans. First, we train a fully convolutional...
Different types of traffic signs has different colors and shapes located in uncontrolled traffic environments. The detection of different types of traffic signs is a difficult problem in pattern recognition and computer vision. In our study, a region of interest (ROI) extraction method is proposed to extract ROI using color contrast in local regions. We utilize the high contrast in local regions to...
In order to reduce the number of accidents caused by the call when the driver was driving, this paper uses the computer vision technology to dectet the behavior of the driver. Based on the constrained local models (CLM) to detect the characteristic changes of the mouth area, combine the HSV color space and the template matching to detect the hand characteristics to judge whether the driver has the...
Motor drive operation mechanism of High-Voltage Circuit Breaker(HVCB) need permanent magnet synchronous motor(PMSM) with high-dynamic response. Reducing the rotor inertia of PMSM is one technique to realize high dynamic response of the motor. By digging holes in the rotor, the inertia can be reduced. The influence of shape, position and size of inertia-reducing holes on the performance of PMSM is...
High precision results in structural with the shortest time consumption are expected when methods are introduced to solve FEM(Finite element method). Solving of stiffness matrix assembled by isoparametric elements and solving the assembled stiffness matrix are the most time-consuming. In the previous serial algorithms, there is always a time limitation for some applications and it is hard to achieve...
As the complexity of the ocean environment, shape of towed array changes with time and space, so the accurate measurement shape of towed array is the key to improve the performance of signal processing. To solve this problem this paper proposes an estimation method based on genetic algorithm, firstly, established the objective function according to a known distance and azimuth of the target by beam...
Parameters estimators for K distribution have a relatively bad performance when the size of samples is small. An estimator based on the Bayesian theory is proposed here based on the prior distribution for the shape parameter, which is obtained from the real dataset. The simulated experiments demonstrate that the proposed method has the low relative error and low root mean square deviation compared...
This paper describes new features and versatility of a Verilog-A FET model for High-Efficiency and wideband applications, with examples in GaN technologies. It describes the flexibility of having the Internal output nodes available for design in exact wave-shaping for high-efficiency class amplifications and a more realistic CDS formulation that meets the needs of newer HEMT technologies with multiple...
The idea of lip reading as a visual technique which people may use to translate lip movement into phrases without relying on speech itself is fascinating. There are numerous application areas in which lip reading could provide full assistance. Although there may be a downside to using the lip reading system, whether it may range from problems such as time constraint to minor word recognition mistakes,...
Density peak (DP) based clustering algorithm is a recently proposed clustering approach and has been shown to be with great potential. This algorithm is based on the simple assumption that cluster centers have high local density and they are relatively far from each other. This observation is used to isolate cluster centers from other data. By making use of the density relationship among neighboring...
Convolutional Neural Network (CNN) has led to significant progress in face recognition. Currently most CNNbased face recognition methods follow a two-step pipeline, i.e. a detected face is first aligned to a canonical one predefined by a mean face shape, and then it is fed into a CNN to extract features for recognition. The alignment step transforms all faces to the same shape, which can cause loss...
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