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In this paper, three individual indices, as well as a new comprehensive index, are introduced to evaluate prediction intervals. Then, two practical methods, namely, Interval Extension Method and Optimal Scalar Method are proposed to build the prediction intervals based on an ensemble of Extreme Learning Machines. Case studies on hour-ahead load interval forecasting with respect to Chicago Metro Area...
Ranging signals in the urban environment suffer from significant attenuation and additive errors caused by reflections. Special design considerations for ranging-based positioning systems that operate in the Urban Canyon are presented. The tradeoff between acquisition sensitivity and acquisition time is presented. The integrity of the measurements is improved by verifying that the signals exhibit...
The feasibility of guaranteeing the accuracy at filtering with substantial prior uncertainty in a class of input signals is analyzed. The class y2 containing nonstationary stochastic signals with the only known prior information — upper bounds of some derivatives is considered. The procedure of estimating the extreme attainable error dispersion at filtering the input signals of the class y2 at the...
A high-dimensional Simultaneous Localization and Mapping (SLAM) algorithm is presented that replaces the particles in FastSLAM with individual Gaussians. In addition, the high-dimensional vehicle state is partitioned into linear and nonlinear parts and the nonlinear part is approximated by a mixture of Gaussians of which the means and covariances are propagated and updated using sparse grid quadrature...
This paper proposes a novel method to estimate relative poses for a calibrated stereo camera. Three corresponding points in 3D space are theoretically required to recover unconstraint motion which has six degrees of freedom. The proposed method solves this problem with only two 3D points by exploiting a common reference direction between poses. Two points are selected in accordance with the distance...
Wireless location has now gained considerable attention. One of the main problems facing accurate location in wireless communication systems is non-line-of-sight (NLOS) propagation. There are parametric and non-parametric methods to cope with NLOS errors. Compared with the parametric method, the non-parametric method can provide a unified solution with an optimal performance for different channel...
In this paper, we propose a procedure for computing the dissimilarity measure of finite general type-2 fuzzy sets, represented as sequences of vertical slices. Through representing general type-2 fuzzy sets as a sequence of objects, we compute their overall dissimilarity value using suited matching algorithms for generalized sequences. The evaluation of the proposed matching algorithm is performed...
This paper proposes a novel way of matching general type-2 fuzzy sets using a sequence-based approach. General sequences are defined as an ordered list of objects, which are called events. In our contribution, an event of the sequenced type-2 fuzzy set is defined as the footprint of uncertainty of a specific α-plane. Suited matching algorithms for generalized sequences can be applied to this new interpretation,...
In the near future, Phasor Meaurement Units (PMUs) are expected to play a key role not only in power transmission networks, but also to monitor power flows within distribution networks. Unfortunately, in order to face the challenges of next-generation smart grids, faster and more accurate techniques have to be developed for measuring waveform phasors, fundamental frequencies and rate of change of...
The classical approach to system identification is based on statistical assumptions about the measurement error and provides estimates that have stochastic nature. Worst-case identification, on the other hand, only assumes the knowledge of deterministic error bounds and provides guaranteed estimates.
The well-known problem of estimating an unknown deterministic parameter vector over a linear system subject to additive Gaussian noise is studied from the perspective of minimizing total sensor measurement cost under a constraint on the log volume of the estimation error confidence ellipsoid. A convex optimization problem is formulated for the general case, and a closed form solution is provided when...
Progress evidenced by Moore's Law has driven increased performance at decreased cost per function. Often, the price of this progress is balanced against complexity and time-to-market (both directly impacting cost). Design enablement teams must mitigate these cost factors by delivering accurate process design kits (PDKs) that predict both process and device performance at production on a schedule that...
Adaptation of twisting controller is performed in order to diminish the discontinuous control magnitude. The second-order real sliding mode is stably kept due to the instant multiplication of the gain by a chosen constant factor at the moments when the divergence is detected. Then the gain is gradually decreased. The resulting gain maxima are proved not to exceed the unknown equivalent control magnitude...
In this paper, the use of the SB-ZePoC Coding-Scheme for a high precision AC Power-Standard (TET-Watt) is proposed. The use of SB-ZePoC allows a novel approach to binary switched precision-sources, as the switching-rate is low compared to sigma-delta modulation. The structure of the system allows to reference the output amplitude directly to a DC-voltage-reference or switching a binary source directly...
Surface Plasmon Resonance has been developed into a widely-used methodology for various biosensing applications. For the most popular angular-interrogation SPR system, a convergent light beam and a photo diode array are used, where the photo diode array with a large amount of pixels is necessary for high performance, and unavoidable trivial vibration between sensing unit and photo diode array will...
We investigate in this paper the anchor selection problem with consideration of anchor location uncertainty,which arises naturally from error propagation problem in successive or distributed localization processes. We establish an applicable criterion for selecting anchors from sensors under any prescribed amount of anchors, by minimization the lower bound of transformation error term in Ash-Moses's...
Estimating the location of a signal source based on TOA measurements is an important problem in many applications. In the presence of sensor position errors, the accuracy of a source location estimate could be degraded significantly. This paper first derives the CRLB of the source location when sensor position errors are present. It continues to develop the theoretical increase in the mean-square...
Performing decentralized network fault diagnosis based on network traffic is challenging. Besides inherent stochastic behaviour of observations, measurements may be subject to errors degrading diagnosis timeliness and accuracy. In this paper we present a novel approach in which we aim to mitigate issues of measurement errors by quantifying uncertainty. The uncertainty information is applied in the...
It is impractical to measure the INL (Integral Non-Linearity) of a high resolution precision source to tight specifications with the requisite accuracy (0.00008%) at all possible source values. A method is described that was used to guarantee the accuracy of a precision source with a resolution of 24 bits, in a timely fashion. Experimental results from testing multiple instruments are described.
The integration of local uncertainty measure with local randomized Hough transform (RHT) is proposed for line detection in the paper to tackle the problems of decrease in detection accuracy in noised images for line detection of complicated parts. The proposed scheme firstly partitions a machine-part into several regions. Then a probability model of uncertainty that an edge pixel belongs to a line...
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