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In this paper we propose a new method for finding approximate solutions of ISLAE, by bringing it to “saturated block” using a procedure of reduction. The method is based on the analysis of the properties of solutions ISLAE and on the analysis of the properties of interval models constructed on the basis of these solutions.
With the aim to improve the energy management of battery packs in stand-alone power supply applications, a simple but effective model-based algorithm for battery state estimation has been developed. The method can be classified into the category of PI-based observers and exploits a Thevenin-based equivalent circuit to model the battery behavior associated with a simple start-up identification process...
Renewable energies are in constant growth and evolution, being a clean way to provide the energy required for the sustainable development of human society. In this context, energy storage systems are a key factor in the integration of renewable generation, because through them, the flexibility of the power system can be increased. Lead-acid batteries have been extensively used to provide electricity...
An analytical characterization of the accuracy of disparity-based autofocus requires an effective error model of disparity estimation. In this paper, we investigate the approximation of photon shot noise of images by a Gaussian model for disparity error analysis that takes defocus blur and image noise into account. We show that, counterintuitively, defocus blur alone does not affect the disparity...
Multifractal analysis (MF) is a widely used signal processing tool that enables the study of scale invariance models. Classical MF assumes homogeneous MF properties, which cannot always be guaranteed in practice. Yet, the local estimation of MF parameters has barely been considered due to the challenging statistical nature of MF processes (non-Gaussian, intricate dependence), requiring large sample...
In this paper, we introduce an improved excitation model for statistical parametric speech synthesis. Our earlier vocoder [1], which applies continuous F0 in combination with Maximum Voiced Frequency (MVF), is extended. The focus of this paper is on the modeling of unvoiced consonants, for which two alternative methods are proposed. The first method applies no postprocessing during MVF estimation...
Complexity in System on a Chip (SoC) design is rapidly escalating with the advent of more advanced nodes and the ability to integrate 100's of cores on a single die. This highlights the need to understand the power consumption of the device in the early architectural phases of SoC design. The Power Analysis tooling, centered on Network on a chip, and developed as part of this project allows for quick...
The paper deals with procedure of change-point detection during radar operation. The problems of synthesis and analysis of two procedures for detecting radar parameters instability for a given model of technical state deterioration are solved.
The link traffic time estimation for urban traffic is an important part of the route guidance system, it is a necessary condition to realize the multiple functions of intelligent transportation, which has important effect on traffic planning, traffic management and traffic control. From the perspective of the research content, this paper analyzes the studies of link travel time estimation of urban...
For the purpose of filtering road spectrum this paper proposed an adaptive Kalman filtering (AKF) algorithm based on accurate autoregressive (AR) model. The proposed AKF can overcome the disadvantages such as complicated computation process and poor real-time performance when applying normal AKF. The algorithm can implement AKF by adjusting gain matrix Kk on the base of innovation. The process of...
This paper addresses the dim target tracking problem with respect to the multi-frame detection (MFD). Generally, the MFD strategy implicitly merges the tracking stage into its framework, by which the estimated target trajectory can be simultaneously returned when a target is declared. However, due to the batch processing manner of MFD, such products, essentially, are short state sequences in time...
Decades of technology scaling has brought the threat of soft errors to modern embedded processors. Though several methods have been proposed to protect systems from soft errors, their effectiveness in ensuring error-free computing cannot be guaranteed; without accurate and quantitative estimation of system reliability. The metric vulnerability - which defines the likelihood of device failure by accurately...
Two models are called “coupled” when a non empty set of the underlying parameters are related through a differentiable implicit function. The goal is to estimate the parameters of both models by merging all datasets, that is, by processing them jointly. In this context, we show that the parameter estimation accuracy under a general class of dataset distributions always improves when compared to an...
An accurate network model is essential for performing detailed analysis of a power system. The quality of many distribution network models is very diverse, especially for low voltage (LV) networks. To help identify areas where the model is incomplete or incorrect, Micro Phasor Measurement Units (μPMUs) can be integrated into a network. These μPMUs would work together, with a trusted cloud back-end...
This paper proposes a computationally efficient technique for estimating the composite load model parameters based on analytical similarity of parameter sensitivity. When the model parameters are updated in the optimization procedure to best fit the actual load dynamics, i.e., measurements, parameters of similar sensitivity representation in the given mathematical model structure are updated in the...
In this paper, a statistical method of estimating the number of endmembers from hyperspectral images is proposed. A noncentra chi-squared distribution model is applied to calculate this number. Endmembers are important parameters in many hyperspectral detection algorithms based on Linear Mixture Model(LMM). The number of endmenbers is the only preset parameter and needed in some anomaly detectors...
In this paper we present a growth-model based approach to the accurate estimation of stem diameter at single tree level by using high-density LiDAR data. First, we detect classes of trees characterized by different growth conditions by means of a data-driven inference process. To this end, all the environmental factors that can affect the growth of the tree (i.e., forest density and topography) are...
Global rainfall interception loss information is essential to understand the dynamics of the water cycle. And it remains large uncertainty in its global variation, since its ground observation are scattered. The development of satellite earth observation provides good opportunity for global rainfall interception loss estimation to reveal its spatiotemporal variation. In current study, an analytical...
With the development of the country, the number of private car is increased rapidly, so as to the traffic problem. During the traffic jam, the bus-cluster phenomenon that the same number of bus always come together. In this article, the algorithm of the bus-cluster phenomenon has been proposed, the proposed algorithm uses the traffic jam model and the bus arrival time predict model, it analyzes the...
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