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Nowadays, indoor localization systems gain more and more attention, as demand for the services employing data on the indoor position of the objects and people is growing. There are many techniques used for position calculation. The most popular rely on measurements of radio wave propagation times. Most of the systems' architectures consist of localized tags and fixed-positioned anchor nodes. Knowledge...
Ethio-Telecom, the sole telecom service provider in Ethiopia, is expanding its mobile network infrastructures to reach its target of over 100 million subscribers in the next few years. As a result of this expansion and with the introduction of new services a considerable amount of electronic information (eg. E-mail, Short Message Service (SMS), etc.) written in local languages is expected to be generated...
Mechanical dyssynchrony caused by left bundle branch block (LBBB) negatively affects cardiac performance and can be treated by cardiac resynchronization therapy. Cardiac strain derived from ultrasound (US) images can be used to quantify and visualise this dyssynchrony at a regional level. Speckle tracking echocardiography is the most commonly used technique, however commercially available methods...
The optimal filtering problem for non-stationary stochastic continuous-time observation models is considered. It is known that the problem solution can be found using both the Duncan-Mortensen-Zakai equation and the robust Duncan-Mortensen-Zakai equation. In this paper the special form of the robust Duncan-Mortensen-Zakai equation, where the drift, diffusion, and potential functions are expressed...
This paper presents a method for radial shift estimation of an electrode array located around the forearm. The algorithm is aimed at band-shaped EMG human-machine interfaces recognising hand gestures. Proposed algorithm relies on the approximation of muscle activity in several regions arranged radially around user's forearm. The intensity is represented as a polygon on a polar plane. To estimate current...
This work presents a study to determine the improvement of the simultaneous position estimations of several Mobile Robots (MRs) adding the relative distances between them, regarding independent position estimations for each MR. To evaluate the performance of the proposal, it is supposed that the localization scenario is composed of an Ultrasonic Local Positioning System (ULPS) and two MRs with odometry...
This study aimed to improve the precision of multiple robots' self-localization in the standard platform league of RoboCup, i.e. a robotic soccer competition. For improving the precision of the self-localization, we proposed a new technique that uses an external camera out of the field for assistance. Robots in the field use the unscented particle filter that estimates their position from some landmarks...
An estimator of the dynamic state of an electric power system (EPS) is presented in this paper. The developed algorithm involves two stages which are based on the weighted least square (WLS) technique. The first stage uses conventional measurements (delivered by RTU — SCADA meters) and synchronized phasor measurements (delivered by PMU meters) in order to estimate the state of the system forming an...
This paper considers indoor localization based on multilateration and averaged received signal strength indicator (RSSI). We propose two approaches called three minimum distances method (TDM) and weight values adjustment method (WAM) to deal with the poor accuracy of distances deduced from RSSI. Using a practical localization system, an experimental channel model is deduced in order to assess the...
This paper proposes a method for a real-time classification of the absolute driving style using three levels of sportiveness: calm, normal and sporty. The algorithm is based on a physical gg-plot-based approach and on a novel manouvre detection algorithm. The method makes use of standard vehicle signals which can be also provided by an external IMU+GPS system. Experimental results show the effectiveness...
An accurate knowledge of the tire effective rolling radius is fundamental for many vehicle dynamics applications relying on an estimate of the vehicle speed, like ABS, stability and traction control. It may also serve as a tool to detect tire deflation and improve the safety on-board. Many algorithms for rolling radius estimation have been presented in the literature, but most of them cannot be applied...
Most current state of the art blind image deconvolution methods model the underlying image (either in the image or filter space) using sparsity promoting priors and perform inference, that is, image, blur, and parameter estimation using variational approximation. In this paper we propose the use of the spike-and-slab prior model in the filter space and a variational posterior approximation more expressive...
Patch-based image denoising can be interpreted under the Bayesian framework which incorporates the image formation model and a prior image distribution. In the sparsity approach, the prior is often assumed to obey an arbitrarily chosen distribution. Our motivation is to estimate the probability directly from the distribution of image patches extracted from good quality images, thanks to a given dictionary...
The contemporary market is in demand of more power with expenditure of as less amount of energy as possible. Hence the scientists nowadays have shifted their concentration to design processes to meet this need. In this paper, the use of HP PC LEDs have been proved to be more efficient and environment friendly and have better scope of improvement in future than other lighting sources. The paper also...
This paper presents a novel background subtraction method that is flexible for various background scenarios. The method includes automated-directional masking (ADM) algorithm for adaptive background modeling and historical intensity pattern reference (HIPaR) algorithm for foreground segmentation. By selecting an appropriate mask in a set based on directional feature, ADM updates background smoothly...
This paper proposes the method of propagation mode extraction on ionograms with the help of the Hough transform. Usually, the Hough transform for ionogram processing is used at the step of track autoscaling, when propagation modes already extracted. Authors propose a method for image binarization based on the application of abnormal sample extraction method which allows to use of the Hough transform...
This paper proposes a new TDOA estimation based on phase-voting cross correlation and circular standard deviation. Based on phase delay and kernel function, the proposed method generates a probability density function (PDF) of TDOA for each frequency bin. TDOA estimate is determined by voting the PDFs generated for all frequency bins. Peak positions of the bin-wise PDFs for the target signal are concentrated...
As a special frequency estimation problem, harmonics estimation has applications in speech and audio processing, power systems, healthcare monitoring, etc. In this paper, we make a first attempt to propose a gridless sparse method for harmonics estimation exploiting the harmonics structure. The method uses the atomic norm with carefully designed atoms and is formulated as a convex optimization problem...
Image quality assessment (IQA) plays a crucial role in monitoring quality control in image communication systems, and in benchmarking and optimizing parameters in enhancement algorithms. The full-reference IQA metrics require a good-quality reference image, obtaining which may not be practical in real-life applications. This paper, therefore, proposes a no-reference IQA metric based on the hypothesis...
This paper studies an ``age of information" problem in fully-connected wireless networks with time-varying reciprocal channels and packetized transmissions. Specifically, a scenario where each node in the network wishes to maintain a table of global channel state information (CSI) is considered. Each node updates its global CSI table in two ways: (i) direct channel measurements through standard...
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