Aleksandra Medvedeva

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A novel method to provide high-resolution TwoDimensional Direction of Arrival (2D DOA) estimation employing Artificial Neural Networks (ANNs) is presented in this paper. The observed space is divided into azimuth and elevation sectors. Multilayer Perceptron (MLP) neural networks are employed to detect the presence of a source in a sector while Radial Basis(More)
In this paper, a methodology for multi-objective optimization of trigeneration plants is presented. It is primarily applicable to the systems for buildings’ energy supply characterized by high load variations on daily, weekly and annual bases, as well as the components applicable for flexible operation. The idea is that this approach should enable high(More)
Development of geographic information systems for mobile and hand held computer devices requires significantly modified approach in comparison to development of more traditional GISs. Main issues to be addressed are efficient handling of limited memory and processing power, appropriate management and presentation of information on highly restricted devices(More)
An anti-lock braking system control is a rather difficult problem due to its strongly nonlinear and uncertain characteristics. To overcome these difficulties, robust control methods should be employed such as a sliding mode control. The aim of this paper is to give a short overview of sliding mode control techniques implemented in the control of ABS. The(More)
Reliable transport of data in Wireless Sensor Networks (WSN) has become a big challenging issue for researcher community in the last few years. WSNs are currently deployed in a wide range of applications as a sensor is becoming smaller and production cost is smaller. In this paper, we look at the problem of efficient and reliable data transport in WSN. We(More)
Since optimization of the machining parameters not only increases machining efficiency and economics, but it also enhances the end product quality, this topic is still the subject of many studies. The selection of the optimal machining parameters is often performed in a two-stage approach, i.e. mathematical modeling of machining performance and optimization(More)
Today, only those companies which are capable of permanent and fast adaptation to quickly-changing conditions can survive. The customer expects an excellent quality of products or services offered to him, and pays only those prices which are more favorable than the competition in the market. In order for a company to remain competitive and maintain maximal(More)
Modeling of manufacturing processes aimed at better understanding, optimization and process control is very important in manufacturing practice. This is usually achieved by integrating empirical models with classical mathematical and meta-heuristic algorithms. In this paper, software prototype “Function Analyzer” for optimization and control of(More)
This paper addresses the problem of polar quantization optimization. Particularly, the aim of this investigation is to find the method for the optimal resolution-constrained polar quantizer design. The new iterative algorithm for determination of the optimal decision and representation magnitude levels and algorithm for optimization of number of phase cells(More)
Wind energy has become a large contender of traditional fossil fuel energy, particularly with the successful operation of multi-megawatt sized wind turbines. However, reasonable wind speed is not adequately sustainable everywhere to build an economical wind farm. In wind energy conversion systems, one of the operational problems is the changeability and(More)