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We derive a new algorithm which avoids normalization of the probability density for particle flow. The algorithm was inspired by renormalization group flow in quantum field theory. In contrast with other particle flow algorithms, this one works in k-space rather than state space. We have roughly 30 or 40 algorithms to compute particle flow, and the three best algorithms avoid computing the normalization...
The paper describes the application of a brand new approach to evaluate magneto harmonic effects in round geometries. Largely employed regular modeling approaches such as Dowell or homogenization methods show important lacks of accuracy for 2D modeling. They are not able to reflect many physically existing phenomena like side effects and empty layers of conductors e.g, what require Finite Elements...
To improve the precision and efficiency of reliability analysis of flexible mechanism, Two-step Extremum Response Surface Method (TERSM) of reliability analysis is proposed. Dynamics differential equations of the flexible mechanism were established by using the integrated modal method and the flexible multi-body system dynamics method. By using the Monte Carlo Method (MCM), the random sample values...
Motion errors are inevitably introduced when data are acquired and considerably degrade the image quality in terms of geometric resolution, radiometric accuracy and image contrast, especially in high resolution spotlight synthetic aperture radar (SAR) imagery. In this paper, we describe a weighted contrast enhancement autofocus algorithm that is based on spatially variant model and adopts a mean square...
In this article the multi-model adaptive-searching method properties is under research. The test object is well-known Lorenz chaotic system. A couple of parameter identification approaches is considered. Identification error dependencies from quality function sensibility coefficient is investigated.
In this work we focus on the development of a new control strategy for the guidance of the Aerosonde UAV. An event-based control strategy has been developed with controllers that have a high efficiency in communication resources usage. The architecture that it is proposed has two principal parameters: the event threshold ē and the minimum inter-events time Tmin which permit to set the accuracy of...
Battery models are widely used in the development and operation of battery powered systems. Over the years, a variety of modelling methods have been proposed. In this paper, Circuit-based, Diffusion and Kinetic battery models for a Li-ion polymer battery are compared and the differences on the followed design philosophy are analysed. After the experimental extraction of the parameters, their performance...
Bug triaging and assignment is a time-consuming task in big projects. Most research in this area examines the developers' prior development and bug-fixing activities in order to recognize their areas of expertise and assign to them relevant bug fixes. We propose a novel method that exploits a new source of evidence for the developers' expertise, namely their contributions to Q&A platforms such...
A novel battery state of charge (SOC) estimation method is developed in the paper using sliding mode observer and the Nernst Equation based battery model. The method to design sliding mode observer is presented. The proposed estimator is less computational complex but it can obtain relatively accurate result. The performance of the system was verified by simulations and experiments.
Various photovoltaic PV models of different complexity exist in the literature. The modeling accuracy for most of them is directly related to their complexity and computational effort. Recently, two newly developed PV models featuring low computational effort and high accuracy appeared in the literature. The first model is developed based on Gompertz model which is originally used to model human mortality,...
In order to improve the discretization accuracy of discrete full-order flux observer, a modified discretization approach based full-order flux observer is proposed for sensorless induction motor drive. The presented method possesses higher precision without complex decoupling calculations. The experimental results verify the effectiveness of the proposed algorithm.
Droop based autonomous control offers several advantages such as communication independence, plug-n-play capability and enhanced reliability of the system. Despite these advantages, frequency and voltage of droop controlled microgrid varies with the load change which is one of the major drawback of the droop control. Presently, the frequency and voltage restoration in microgrid is achieved through...
Machine-learning test strategy has been developed in the last decade as an alternative to costly specification-driven tests for Analog, Mixed-Signal and RF circuits (AMS-RF). The concept is simple: powerful algorithms are used to map simple measurements onto specifications. But the proper execution requires an information-rich input space. This paper presents an efficient hybrid algorithm to select...
A research approach of crack detection of rotating shafts based on acoustic emission (AE) signals and machine learning is proposed in this paper. The relationship between crack intensity and domain features are investigated, and the features which could well indicate the crack condition are selected for modelling and crack prediction. Multiple Linear Regression (MLR), Artificial Neural Networks (ANN)...
Small signal stability is one focus of Wide Area Measurement Systems (WAMS). WAMS systems are becoming more widespread, driven by availability of synchrophasor data from Phasor Measurement Units (PMUs). In this paper, two methods capable of performing real-time small signal stability monitoring is evaluated by application to simulated data. Performance of the methods are tested to conditions likely...
In this article the multi-model adaptive-searching method properties is under research. The test object is well-known Lorenz chaotic system. A couple of parameter identification approaches is considered. Identification error dependencies from quality function sensibility coefficient is investigated.
Conventional perspective cameras have been used before to create 3D camera systems. However, these systems are hindered by the field of view of the cameras, which limit the angle of the scene that can be reconstructed. Augmenting these systems to larger reconstructed scene angle requires more cameras or increasing the field of view of the cameras. A 3D camera system is introduced which utilizes omnidirectional...
In this paper, we address a sparse signal reconstruction problem of nonlinear dynamic system in Wireless sensor networks (WSNs). A distributed reconstruction algorithm of sparse nonlinear signal is proposed based on sigma-point filter and consensus filter with embedded pseudo-measurement (PM) technology. For numerical accuracy, its square-root version is further developed. By embedding the PM equation,...
In order to improve the issue about the low localization accuracy of unknown nodes, this paper proposes a kind of improved region segmentation localization algorithm. Under the precondition of building the mathematical model of region segmentation, the algorithm utilizes the ratio which the unknown node received signal strength from the beacon nodes comparing with the signal strength scale factor...
In this paper, a novel analytical method based on CADET (covariance analysis description equation technique) is proposed to solve the computing problem of the precision of the three-dimensional shooting engine when evaluating the effectiveness of the three-dimensional virtual shooting system. This method statistical linearizes the nonlinear factors that will affect shooting accuracy, and then get...
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