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In capillary machine type communications, random multi-access lends itself as a natural choice at the link layer due to the largely intermittent, event-driven traffic involved. A major challenge to that end arises, however, from the anticipated large scale of the network. Considering a carrier sense multiple access based random access protocol where infrastructural support is available in the form...
Many compelling video post-processing effects, in particular aesthetic focus editing and refocusing effects, are feasible if per-frame depth information is available. Existing computational methods to capture RGB and depth either purposefully modify the optics (coded aperture, light-field imaging), or employ active RGB-D cameras. Since these methods are less practical for users with normal cameras,...
Integrated circuits are getting increasingly vulnerable to soft errors; as a consequence, soft error rate (SER) estimation has become an important and very challenging goal. In this work, a novel approach for SER estimation of combinational circuits is presented. The proposed framework is divided in two stages. First, signal probabilities are computed via a hybrid approach combining heuristics and...
Direct parametric estimation in positron emission tomography (PET) has been developed to compute the voxel-based kinetic parameters in the reconstruction process, obtaining more accurate physiological information of tracer uptake. Although the direct parametric imaging can achieve accurate kinetic analysis, the long acquisition time is still painful, particularly for sick and old patients. To address...
This paper proposes a dynamic waveform selection algorithm for radar target tracking. Following the waveform auto-adaptive ideas in the classical control theory, the Cramer-Rao lower bound (CRLB) of the covariance of target range and range rate estimations is utilized to describe the statistic characteristics of the measurement noises in tracking. Then the relationship between waveform parameters...
Dynamics analysis of cells' lifecycle progression is essential in medical research. Multiple cells tracking through fluorescence microscopy imaging is often challenged by many roadblocks including the severe image noise and clutter, the occlusion and adhesion among cells, and the low resolution and contrast of image. To gain full dynamics of multiple cells, a novel multi-task firework explosion based...
We present a case study of feature location in industry. We study two off-the-shelf feature location algorithms for use as input to a software cost estimator. The feature location algorithms that we studied map program requirements to one or more function points. The cost estimator product, which is the industrial context in which we study feature location, transforms the list of function points into...
The algorithms synthesis procedure for the estimation of parameters and states of the dynamic systems is proposed as a solution of dynamics inverse problem based on methodology of the combined maximum principle. In this approach, the solution of the identification system problem requires to build a model of kinetic energy. This allows formalizing a priori uncertainty in the dynamics of parameters...
Algebraic connectivity of a network, which is defined as the second smallest eigenvalue of the Laplacian matrix, represents how strongly the network is connected. This paper proposes a new decentralized discrete-time algorithm for the estimation of the algebraic connectivity of multiagent networks. The validity of the proposed algorithm is verified by theoretical analysis and numerical experiments.
One of primary grid management challenge is to ensure that these changing power system operating conditions stay within safe limits at all times including potential and probable future contingencies. In this field, one of the most promising enabling technologies is synchrophasor measurements, which require the estimation of the parameters of sinusoids, namely amplitude, frequency and phase. In the...
Analysis of harmonic and interharmonic phasors is a promising smart grid measurement and diagnostic tool. This creates the need to deal with multiple phasor components having different amplitudes, including interharmonics with unknown frequency locations. The Compressive Sensing Taylor-Fourier Multifrequency (CSTFM) algorithm provides very accurate results under demanding test conditions, but is computationally...
In this paper the nonparametric identification of state-space linear parameter-varying models with dynamic mapping between the scheduling signal and the model matrices is considered. Indeed, we are particularly interested on the problem of estimating a model using data generated from an LPV system with static dependence, which is however represented on a different state-basis from the one considered...
Initialization is an extremely important part of the mixture estimation process. There exists a series of initialization approaches in the literature concerning the mixture initialization. However, the majority of them is directed at initialization of the expectation-maximization algorithm widely used in this area. This paper focuses on the initialization of the mixture estimation with normal components...
Phasor measurement units (PMUs) synchronize the measurements of current and voltage phasors in real time. This paper introduces a PMU simulation model for phasor estimation which uses a nonrecursive Discrete Fourier Transform (DFT) algorithm with linear interpolation. The algorithm was implemented and tested in the Real-Time Digital Simulator (RTDS). The algorithm is evaluated using the test signals...
While many applications of sensor fusion suffer from the occurrence of outliers, a broad range of outlier robust graph optimization techniques has been developed for simultaneous localization and mapping. In this paper we investigate the performance of some of the most advanced algorithms for a simulated wireless localization setting affected by non-Gaussian errors. With this first analysis we can...
Software Cost Estimations (SCEs) are tools that used for the software elements classification with number of factors for overall cost estimation. For example resource availability, milestones, deadlines, skill sets, onshore/offshore ratio, knowledge transition etc. Software cost estimations is one of the efficient way to estimate software product's cost with higher accuracy considering the best quality...
The iterative trimming approach for the robust myriad filter is proposed and developed. The operation of iterative trimming enables the myriad filter to reject the outliers in the original moving window and then the myriad is estimated on the base of the reduced set of samples. The action of the reduction of the data set is performed after estimation of the some threshold level. All samples which...
This paper proposes an improved Finite Control Set Model Predictive Control (FCS-MPC) strategy to control static power converters that overcomes the parameter sensitivity of the conventional strategy. The parameters error can be due to both a poor estimation and their time variant behavior, as the grid parameters in grid connected static power converters. Contrary to the standard FCS-MPC approach...
Video retrieval and video copy detection are well studied problems. The goal is to find the matching video in a database from a given query video. Typically, these query videos are short and aligning the query video is of secondary importance. Short sequences can be aligned using dynamic time warping. But, since time and memory usage increases quadratically with the length of the sequences, such process...
This paper presents a new approach of a path planing algorithm applied in an indoor environment. Path planning or motion planning is an essential part of navigating mobile agents. The goal of path planning is to specify a collision-free trajectory between the start state and the goal state for a mobile agent. The estimation of the absolute position inside the testing environment is performed based...
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