Elżbieta Kawecka

• Doctor of Philosophy
• adjunct professor at The Jacob of Paradies University

This paper presents a new algorithm for fast evaluating the accuracy of root mean square (RMS) estimation for digital data. The algorithm is developed to accelerate the determination of estimation errors. The new algorithm is based on a non-iterative estimator of the RMS parameter and is equivalent to the classical PQN (CPQN) algorithm, which uses...

The article presents an intelligent temperature transducer (ITT), which can work with a two-wire or a three-wire platinum resistance temperature detector (RTD). The ITT design allowed for compensation of the RTD’s lead wire resistance. The ITT used the author’s auto-calibration procedure, which minimized linearity errors of the ITT and RTD processi...

Abrasive waterjet machining (AWJ) is characterized by significantly better efficiency and better precision for difficult-to-machine materials than conventional machining technologies. However, the larger number of control parameters characterizing this process needs optimization. The study compares the performance of three nature-inspired metaheuri...

The common machining technologies for difficult-to-machine materials do not remarkably ensure acceptable efficiency and precision in bulk materials cutting. High-energy abrasive water injection jet (AWIJ) treatment can cut diverse materials, even multi-layer composites characterized by divergent properties, accurately cutting complex profiles and c...

In the case of advanced manufacturing technologies, which include Abrasive Water Jet Machining, optimization of control parameters is necessary to achieve appropriate efficiency and quality. One of the optimization methods used in the presented research is SAW, from the Multi-Criteria Decision Making (MCDM) group. In multi-criteria decision-making...

The paper shows performance optimization effects of steel machining by abrasive water jet (AWJ). An innovative combinative distance-based assessment method (CODAS) is implemented for the optimization of cutting parameters like pump pressure, feed rate, and abrasive flow rate over cutting depth, and cut kerf surface roughness. The CODAS algorithm is...

The Chapter begins from the trivial matrix implementation of CFSM circuits. To diminish the chip area occupied by the trivial matrix circuit, the methods of structural decomposition are used. In the beginning, the CFSM with the replacement of logical conditions are synthesised. Next, it is shown that the area reduction is possible due to encoding o...

The Chapter deals with synthesis of CFSMs using the heterogeneous CPLDs, which include PAL-based macrocells and embedded memory blocks. In the beginning, the circuits based on embedded memory blocks are analysed. Next, different models of CFSMs with trivial state assignment are discussed. The EMBs are used to implement systems of regular functions,...

The chapter deals with analysis of methods of logic synthesis targeting VLSI. It starts with analysis of evolution of logic elements. The peculiarities of synthesis are shown for PROMs, PLAs, and PALs. Next, three classes of VLSI chips are considered, namely ASIC, CPLD and FPGA. The methods of structural decomposition are discussed. Main idea of th...

TheTransformation ofstate codes chapter is devoted to the hardware reductionHardware reduction based on transformation of state codes into the codes of classes of PES. The chapter starts from the complete state transformation. The method is applied for CFSMs implemented with either homogenous or heterogeneous CPLDs. These methods are applied if out...

The Chapter is devoted to reduction of ASIC chip areas occupied by CFSM logic circuits. All methods are based on using the classes of PES. It starts from optimization of CFSM with optimal state assignment. The optimization is achieved due to replacement of logical conditions, encoding of collections of microoperations of both Mealy and Moore types....

The chapter deals with synthesis of CFSMs using the homogenous CPLDs, which include either PAL- or PLA-based macrocells. It starts from synthesis of trivial single-level circuits. The PAL-based circuits are mostly analyzed. Next, there are discussed different methods of optimization combined with the optimal state assignment. Further, the methods a...

The chapter provides some basic information. It is shown that control algorithms could be implemented using either microprogram control units or finite state machines. The language of GSA is introduced. Next, the connections are shown with GSAs and state transition graphs of Mealy, Moore and combined FSMs. Classical principles are discussed for log...

The paper presents a method that allows the thickness of a compact bone layer and longitudinal wave velocity in the bone to be determined simultaneously with the use of reflected waves, with particular emphasis on the case of layers when the layer thickness is of the same order as the ultrasonic wavelength. This paper presents the use of optimizati...

The characteristics of the quantization process are one of the major factors determining the precision of a measurement in a channel with an A/D converter. The properties of this process are changed by the modification of the probabilistic characteristics of the quantizer with the aim of obtaining the desired properties of the error of the quantiza...

High-pressure water jet machining is characterized by wide possibilities of cutting diverse materials together with multi-layer materials with dissimilar properties, accurate cutting complex profiles, as well as conducting them in uncommon conditions, especially in cases of thick materials. An additional advantage of water jet technology is its env...

Właściwości wybranych algorytmów do estymacji częstotliwości w dokładnych pomiarach napięcia sinusoidalnego Streszczenie. W artykule przedstawiono wyniki badań symulacyjnych właściwości wybranych cyfrowych algorytmów do estymacji częstotliwości w warunkach pracy przyrządów do dokładnych pomiarów napięcia sinusoidalnego. Zastosowano opracowany algor...

In the paper, it is shown that at a given moment of time the actual values of the sinusoidal signal autocorrelation function can be determined in an unambiguous way on the basis of three samples of the signal and three samples of its time-shifted copy. Based on this, an algorithm making it possible to determine an autocorrelogram has been devised....

The paper concerns issues of probabilistic properties of the sinusoidal signal autocorrelation function. An autocorrelation function can be viewed as a random variable with fixed probability density. In the paper, results of the research on parameters of such a variable are presented. On the basis of the probability density function, the mean, the...

Uniwersytet Zielonogórski