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In this paper, the principle of density evolution (DE) combined with the normalized minimum-sum (NMS) decoding process is explored. It is demonstrated that with one properly chosen parameters for NMS algorithm, then almost the same behaviour of sum-product (SP) algorithm is achieved. As well, the complexity reduction is realized by calculating a linear function instead of nonlinear function. Simulation...
The paper presents a probabilistic approach (PA) to quantify the impacts of increased PV connections in bidirectional feeders within a distribution network. The aim is to establish a tool that can serve distribution network operators (DNOs) in seizing the maximum allowable photovoltaic (PV) connections, and ultimately with their responsibility on providing a reliable and secure power. An uncertainty...
The multiple hypothesis tracker (MHT) has historically been considered a gold standard for multi-target tracking. In this paper we show that the key formula for hypothesis probabilities in Reid's MHT can be derived from the modern theory of finite set statistics (FISST) insofar as appropriate assumptions (Poisson models for clutter and undetected targets, no target-death, linear-Gaussian Markov target...
Concentration of electric vehicles (EV) in an urban area can cause distribution transformer overloading because of their charging behaviors and the resulting power demand. This paper assesses the impact of EV home charging on transformer overloading considering two critical factors, which are penetration level and driving performance. Test scenarios are confined by a low-voltage distribution system...
The possibilities of substitution of the distributed radar object by the geometrical model, composed of two point radiators for normal distribution correlation, have been analyzed. A distribution law of the coordinate noises was used for an adequacy criterion of the model. Relations, that define the limits of the obtainable values for an expected value and a parameter determining a distribution width...
The aim of this paper is to apply probabilistic load flow methods on a three phases, unbalanced low voltage distribution network. We use a point estimate method and a Monte Carlo simulation based method to estimate the electrical characteristics (buses voltage, phases and neutral conductors currents) of a distribution grid in presence of a large number of small size photovoltaic generators. Probabilistic...
This paper presents a novel approach to the optimal meter placement problem in distribution networks. Conventional methods place meters in order to achieve a predefined level of accuracy for the estimated parameters such as voltages and currents. However, there is no generic method to determine this desired accuracy value for the individual parameters. Hence, a uniform accuracy value is generally...
A generalized probability mixture density governs all additive fuzzy systems. These systems sum fired if-then rules to compute an output. Their mixture structure leads to new Bayes theorems and new ways to combine or fuse fuzzy systems. Additive fuzzy rule-base systems can uniformly approximate continuous functions while their Watkins representations can exactly represent bounded real vector functions...
Clean and sustainable renewable energy technology is going to take responsibility of energy supply in electrical power systems. Using renewable sources improve the environment and reduce dependence on oil and other fossil fuels. In distribution power system, utilizing of wind and solar DGs comprises some advantages; consist of loss and emission reduction, and also improvement of voltage profile. So,...
The P300-based brain-computer interface (BCI) speller relies on eliciting and detecting specific brain responses to target stimulus events, termed event-related potentials (ERPs). In a visual speller, ERPs are elicited when the user's desired character, i.e. the “target,” is flashed on a computer screen. The P300 speller is currently limited by its relatively slow typing speed due to the need for...
Objective assessment of pathological speech is an important part of existing systems for automatic diagnosis and treatment of various speech disorders. In this paper, we propose a new regression method for this application. Rather than treating speech samples from each speaker as individual data instances, we treat each speaker's data as a probability distribution. We propose a simple non-parametric...
We propose a method for detecting and estimating multiple objects from multiple noisy images with partly overlapping observation areas. The goal is to detect the objects that are “locally” present in the individual observation areas and to estimate their states. Our method is based on a new closed-form expression of the marginal posterior probability hypothesis density (PHD) and admits a distributed...
Efficient similarity search for uncertain data is a challenging task in many modern data mining applications like image retrieval, speaker recognition and stock market analysis. A common way to model the uncertainty of data objects is using probability density functions in the form of Gaussian Mixture Models (GMMs), which have an ability to approximate arbitrary distribution. However, due to the possible...
In this paper, an efficient bearing health condition assessment approach is proposed based on alpha-stable distribution model. The health condition assessment index is constructed with Kullback-Leibler distance (KLD) between two alpha-stable distributions, which are statistical models of vibration signals in normal condition and fault condition. Experimental results based on the run-to-failure bearing...
Aiming at fault detection rate (FDR) and fault isolation rate (FIR), testability demonstration technology is relatively mature. As an extension of testability technology, PHM (Prognostics and Health Management) provides a more sophisticated form to quantify and predict equipment health state and remaining useful life (RUL). Therefore, many researches attach importance to the prognostic validation...
In this paper, a comparison between different indicators for wireless channels profile identifications, is presented. The comparison is made by employing the Reverberating Chamber (RC), a natural wireless channel emulator that physically replicates real-world multipath channel conditions. The comparison between different wireless indicators focuses on the enhancing the mobile communication, on the...
In this paper we present an advanced version of the Sparse-Grid-Tiles (STile) Filter. With increasing calculation power of modern systems, the focus of Stochastic Filtering turns to nonlinear effects. Sophisticated methods have to be investigated in application areas, where linearized methods like the Extended Kalman Filter tend to suboptimality or even divergence and conservative Particle Filters...
This paper, which is part two of a two-part series, applies a technique for assessing control strategies for DSM in SGs by using reliability as a measure. The assessment methodology is presented and carried out in detail. This assessment is realised by using disaggregated load models. Two test networks (IEEE 14 bus and GSP radial) are used for simulations and to develop different DSM control strategies...
Existing studies have extensively used temporal-spatial data to mine the mobility patterns of different kinds of travelers. Smart Card Data (SCD) collected by the Automated Fare Collection (AFC) systems can reflect a general view of the mobility pattern of the whole bus and metro riders in urban area. Most existing work focusing on mobility pattern usually ignore a special group of people who travel...
The fading process describing the propagation effects caused by scattering between two mobile transceivers shows strong non-stationary properties. For its characterization the local scattering function (LSF) and the instantaneous delay Doppler probability density function (pdf) have been introduced. In this paper, a relation between LSF and the joint pdf is investigated. In previous works, it was...
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