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The maximum consensus problem lies at the core of several important computer vision applications as it is one of the most popular criteria for robust estimation. Although considerable efforts have been devoted to solving this problem, exact algorithms are still impractical for real-world data. Randomized hypothesize-and-test approaches such as RANSAC and its variants are therefore still the key players...
The paper presents an approach for tracking a variable number of objects by using a multi-layer particle filter combined with an extended Expectation Maximization (EM) clustering. The approach works on basis of binary foreground images coming from previous background subtraction. The multi-layer particle filter is an improvement of a conventional particle filter approach. It uses an introduced adaptive...
Particle impoverishment, which always leads to accuracy decreasing, is a classical problem of the traditional particle filter resampling. A particle filter resampling method based on improved genetic algorithm is proposed in this paper to solve the problem. In the improved algorithm, a genetic resampling step is applied for particle reproduction. The main work of the improved algorithm include two...
Consider the problem of estimating the (un)reliability of an n-vertex graph when edges fail with probability p. We show that the Recursive Contraction Algorithms for minimum cuts, essentially unchanged and running in n2+o(1) time, yields an unbiased estimator of constant relative variance (and thus an FPRAS with the same time bound) whenever pc
In this paper, we analyze the performances of the Cell Averaging based on Lookup Tables (CA-LT) detector considering distributed targets embedded in Pareto distributed clutter. Assuming that the clutter parameters are not a priori known, the detector's structure is associated to an estimation approach that estimates the clutter parameters. The latter are used to select the suitable threshold factor...
The paper addresses a fast implementation algorithm about distributed fusion with CPHD filter. An implementation method of distributed fusion based on maximum probability association (MPA), called MPA-DF, is presented. Though the performance of MPA-DF is a little worse than traditional Generalization Covariance Intersection (GCI) distributed fusion method, called GCI-DF, the former needs lower computational...
This paper aims toward joining the ideas of OBT (oscillation-based testing) and DFT (design for testability). It gives insight into an optimization process that provides testability if one chooses to use the OBT. The optimization procedure is exemplified on a timer device NE555. Utilization of a timer circuit allows avoidance of a specific design of the feed-back loop. The optimization procedure is...
Application requirements along with the unceasing demand for ever-higher scale of device integration, has driven technology towards an aggressive downscaling of transistor dimensions. This development is confronted with variability challenges, mainly the growing susceptibility to time-zero and time-dependent variations. To model such threats and estimate their impact on a system's operation, the reliability...
This article analyzes the performance of combining information from Scanning Electron Microscopy (SEM) micrographs with Static Light Scattering (SLS) measurements for retrieving the so-called Particle Size Distribution (PSD). The corresponding data fusion, which is formulated as a Bayesian inverse problem, is implemented using an emblematic Monte Carlo Markov Chain (MCMC) technique, the Metropolis-Hastings...
This paper considers the problem of decentralized, cooperative, and dynamic self-localization in wireless sensor networks. In particular, we are interested in a restrictive but very realistic scenario where few anchors are deployed and each anchor whose location is priori known may only communicate with very few agents (e.g. just one agent) whose location is unknown and to-be-estimated. The lack of...
We developed a sequential Monte Carlo filter to estimate the states and the parameters in a stochastic model of Japanese Encephalitis (JE) spread in the Philippines. This method is particularly important for its adaptability to the availability of new incidence data. This method can also capture the variability in the incidence through time which is dependent upon various factors relating to the host...
An improved high resolution fault diagnostic approach is presented, which contains two parts. First, a new time-frequency analysis named self-commissioning short time zoom matrix pencil method has been proposed. The analysis has high computing efficiency and maintains high spectral resolution, and it is completely free of human maneuver in dealing with nonstationary and quasi-stationary operating...
Remaining useful life (RUL) prediction is one of the most critical procedures of the prognostics and health management (PHM). In the existing literature, most RUL prediction methods are under the assumption that there is no maintenance activity during the whole life time of the degrading system. However, most practical systems experience various kinds of maintenance activities when they are in operation...
As an important part of aircraft systems, accurate grasp of aircraft structure's health condition has become increasingly important. Remaining life prediction is playing an important role in structure health condition assessment. As one of the most popular and effective forecast algorithm, particle filtering method was used to predict the remaining life of aircraft structure. In this paper, we first...
Ground relief is a key parameter affects the open forest bidirectional reflectance factor (BRF) estimation result of a Monte Carlo ray-tracing model. In this proceeding, we propose a 3-D ray-tracing simulator for estimating the BRF for a forest with complex terrain relief. Unlike existing models, this model takes into account rugged terrain conditions by using a local normal retrieving approach based...
Increasing distributed photovoltaic (PV) systems can lead to overloading of grid assets and voltage violations at grid nodes, especially in distribution systems. This raises the necessity to consider the future growth of installed PV capacity for the mid- and long-term planning process of distribution system operators (DSOs). Considering solar roof potential analysis derived from an airborne light...
Most of the distance relays base their operation on the measured apparent fault impedance. These relays are bound to have an error inflicted by the unknown remote end parameters and fault resistance. This paper presents a method, which diminishes such errors using optimization techniques. The proposed method executes a system model unknown parameter estimation by adjusting model output to measurements...
The paper, basing on analysis of the Monte-Carlo Tree Search (MCTS) method and specific features of its behavior for various cases of usage, proposes a new variant of the method, which was called as Monte-Carlo Tree Search with Tree Shape Control (MCTS-TSC) and which uses original Depth-Width Criteria (DWCs) for both tree shape estimation and control during search and for estimation and selection...
For quality control there is a need to quantify the similarity of observed and reference breakdown behavior. The present paper describes the background of a proposed similarity index, the significance of this similarity index (i.e. confidence limits of the similarity index that expresses how firm conclusions actually may be), the relation with child mortality statistics and how this similarity index...
In the 2.4m×2.4m Transonic Wind Tunnel, dynamic matrix control can effectively improve the control accuracy of wind tunnel flow Mach number. To realize this control method, step response models are generally obtained through step response experiments executed in specific working conditions. A step response experiment requires a lot of time, energy and cost. An estimation method based on case-based...
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