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Blast furnace gas (BFG) is regarded as a very important secondary energy in steel industry, and an effective model to describe the status of BFG system is fairly significant to maintain the system balance and stability. However, the high level noises in industrial data and the disturbances in training samples could lead to the overfitting phenomenon. A fuzzy subset fusion combined with a rule reduction...
It has always been difficult to accurately estimate the moment of inertia of an object, e.g. an unmanned aerial vehicle (UAV). Whilst various offline estimation methods exist to allow accurate parametric estimation by minimizing an error cost function, they require large memory consumption, high computational effort, and a long convergence time. The initial estimate's accuracy is also vital in attaining...
Understanding the severity of reported bugs is important in both research and practice. In particular, a number of recently proposed mining-based software engineering techniques predict bug severity, bug report quality, and bug-fix time, according to this information. Many bug tracking systems provide a field "severity" offering options such as "severe", "normal", and...
Cooperative Co-evolutionary (CC) techniques have demonstrated the promising performance in dealing with large-scale optimization problems. However, in many applications, their performance may drop due to the presence of imbalanced contributions to the objective function value from different subsets of decision variables. To remedy this drawback, Contribution-Based Cooperative Co-evolutionary (CBCC)...
Compass satellite navigation and positioning system is a new generation of independently developed satellite navigation system in China. In this paper, it establishes pseudorange error model by Compass navigation and positioning system. Then it deduces and analyses the geometric error factor of the system. And the navigation and positioning accuracy of the system is analysed. The improved algorithms...
In this paper, we have investigated the effectiveness of Particle swarm optimization (PSO) with extended Kalman smoother (EKS) for fetal ECG extraction from single channel electrocardiogram (ECG) recorded at abdominal area of mother's skin. The abdominal ECG is considered to be composite as it contains both mother's and fetus ECG and is dominated by maternal ECG component. To extract the fetal ECG,...
Urethral Pressure Profilometry (UPP) is a tool in the diagnosis of urinary incontinence. The pressure profile along the urethra is measured by a special catheter in order to assess the contraction strength of the sphincter muscle. However, the diagnostic value of pressure profilometry is limited. We seek to increase the diagnostic value by providing a detailed spatial reconstruction of the pressure...
This paper proposes a fingerprint match algorithm using Minutia Spherical Coordinate Code (MSCC). This algorithm is a modified version of Minutia Cylinder Code (MCC). The advantage of this algorithm is its compact feature representation. Binary vector of every minutia only needs 288 bits, while MCC needs 448 or 1792 bits. This algorithm also uses a greedy alignment approach which can rediscover minutiae...
This paper describes a new segmentation-based classification technique for fully polarimetric synthetic aperture radar (PolSAR) images. Based on the framework which conjunctively uses statistical region merging (SRM) for segmentation and support vector machine (SVM) for classification, we improve the method by jointly introducing texture features and color features. For the segmentation step, to guarantee...
To satisfy cost constraints, application implementation in embedded systems requires fixed-point arithmetic. Thus, applications defined in floating-point arithmetic must be converted into a fixed-point specification. This conversion requires accuracy evaluation to ensure algorithm integrity. Indeed, fixed-point arithmetic generates quantization noises due to some bits elimination during a cast operation...
The tracking behavior of Least Mean Squares (LMS) and Recursive Least Squares (RLS) algorithms have been under considerations for several years. For system identification problems it is usually assumed that the system under consideration is of FIR type with coefficients that are statistically independent random processes with identical distribution (IID), a somewhat artificial assumption that can...
This tutorial paper explains the principles and areas of application of oversampling data converters. A comparison between Nyquist-rate and oversampling converters is given, and some commonly used architectures discussed for both D/A and A/D oversampling converters.
The low computation cost, short delay and accuracy of SINTRACK, makes it a very interesting real-time signal processing tool for detection and estimation of damped sinusoids in noise. A noise analysis, as well as a parameters' optimal adjustment analysis are provided. SINTRACK was successfully applied for detection and estimation of a HALE wing bending and torsion oscillations, validating a theoretical...
Methods are investigated to improve the registration of images corrupted by rigid displacements using the Least Mean Square (LMS) algorithm. Results show that LMS adaptive registration (LMSAR) is effective for small translational displacements, but fails for large translational displacements where the correlation between the rotation data sets is too weak. In an attempt to improve the robustness of...
In many signal processing applications, one has to solve an overdetermined system of linear equations Ax ≈ b, while minimizing the errors on A and b. The Total Least Squares (TLS) method calculates corrections ΔA and Δb such that (A + ΔA)x = b + Δb and ||[ΔA Δb]||F is minimal. The resulting parameter vector x is ä Maximum Likelihood (ML) estimate when the noise on the different entries of [A b] is...
Computation of an instantaneous phase shift between two real-value signals by means of the Wigner transform is proposed. It is pointed out that the new method is about 37.5% faster than the Fourier transform one while having the similar dynamic accuracy and noise sensitivity for signals with high SNR.
We study the coding efficiency of view synthesis prediction (VSP) in 3D video coding. Our spectral domain analysis relates the power spectral density (PSD) of the VSP prediction error to the probability density function (pdf) of the warping error. Our analysis takes into account the warping error induced by (i) depth coding and (ii) rounding error at integer-pel, half-pel and quarter-pel warping accuracy...
Advances in high-resolution, high-throughput 3D microscopy techniques are enabling subcellular investigation of whole small animal organs such as the mouse brain. Knife-Edge Scanning Microscopy (KESM) is one such technique based on physical (or serial) sectioning to overcome diffraction limited imaging in optical sectioning approaches. However, due to the physical sectioning process depending on a...
This paper introduces a novel method that effectively and efficiently encodes the spatial geometric information of bag of visual words (BoW) to boost the performance of large scale partial duplicate image discovery and clustering. The loose cyclic spatial verification (LCSV) technique projects the locations of BoWs onto the perimeter of a circle centred around their geometric centroid and encodes...
A group of junior and senior researchers gathered as a part of the 2014 Frederick Jelinek Memorial Workshop in Prague to address the problem of predicting the accuracy of a nonlinear Deep Neural Network probability estimator for unknown data in a different application domain from the domain in which the estimator was trained. The paper describes the problem and summarizes approaches that were taken...
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