Agnieszka Pręgowska, Ph.D., Eng.

Department of Biosystems and Soft Matter (ZBiMM)
Division of Complex Fluids (PFPZ)
position: assistant professor
telephone: (+48) 22 826 12 81 ext.: 417
room: 442
e-mail: aprego

Doctoral thesis
2013-06-05Półaktywne sterowanie układami mechanicznymi drgającymi skrętnie 
supervisor -- Prof. Tomasz Szolc, Ph.D., Dr. Habil., Eng., prof. IPPT
661
 
Recent publications
1.Pręgowska A., Kaplan E., Szczepański J., How Far can Neural Correlations Reduce Uncertainty? Comparison of Information Transmission Rates for Markov and Bernoulli Processes, International Journal of Neural Systems, ISSN: 0129-0657, DOI: 10.1142/S0129065719500035, Vol.29, No.8, pp.1950003-1-13, 2019
Abstract:

The nature of neural codes is central to neuroscience. Do neurons encode information through relatively slow changes in the firing rates of individual spikes (rate code) or by the precise timing of every spike (temporal code)? Here we compare the loss of information due to correlations for these two possible neural codes. The essence of Shannon’s definition of information is to combine information with uncertainty: the higher the uncertainty of a given event, the more information is conveyed by that event. Correlations can reduce uncertainty or the amount of information, but by how much? In this paper we address this question by a direct comparison of the information per symbol conveyed by the words coming from a binary Markov source (temporal code) with the information per symbol coming from the corresponding Bernoulli source (uncorrelated, rate code). In a previous paper we found that a crucial role in the relation between information transmission rates (ITRs) and firing rates is played by a parameter s, which is the sum of transition probabilities from the no-spike state to the spike state and vice versa. We found that in this case too a crucial role is played by the same parameter s. We calculated the maximal and minimal bounds of the quotient of ITRs for these sources. Next, making use of the entropy grouping axiom, we determined the loss of information in a Markov source compared with the information in the corresponding Bernoulli source for a given word length. Our results show that in the case of correlated signals the loss of information is relatively small, and thus temporal codes, which are more energetically efficient, can replace rate codes effectively. These results were confirmed by experiments.

Keywords:

Shannon information theory, information source, information transmission rate, firing rate, neural coding

Affiliations:
Pręgowska A.-IPPT PAN
Kaplan E.-Icahn School of Medicine at Mount Sinai, New York (US)
Szczepański J.-IPPT PAN
2.Pręgowska A., Proniewska K., van Dam P., Szczepański J., Using Lempel-Ziv complexity as effective classification tool of the sleep-related breathing disorders, Computer Methods and Programs in Biomedicine, ISSN: 0169-2607, DOI: 10.1016/j.cmpb.2019.105052, Vol.182, pp.105052-1-7, 2019
Abstract:

Background and objective
People suffer from sleep disorders caused by work-related stress, irregular lifestyle or mental health problems. Therefore, development of effective tools to diagnose sleep disorders is important. Recently, to analyze biomedical signals Information Theory is exploited. We propose efficient classification method of sleep anomalies by applying entropy estimating algorithms to encoded ECGs signals coming from patients suffering from Sleep-Related Breathing Disorders (SRBD).

Methods
First, ECGs were discretized using the encoding method which captures the biosignals variability. It takes into account oscillations of ECG measurements around signals averages. Next, to estimate entropy of encoded signals Lempel–Ziv complexity algorithm (LZ) which measures patterns generation rate was applied. Then, optimal encoding parameters, which allow distinguishing normal versus abnormal events during sleep with high sensitivity and specificity were determined numerically. Simultaneously, subjects’ states were identified using acoustic signal of breathing recorded in the same period during sleep.

Results
Random sequences show normalized LZ close to 1 while for more regular sequences it is closer to 0. Our calculations show that SRBDs have normalized LZ around 0.32 (on average), while control group has complexity around 0.85. The results obtained to public database are similar, i.e. LZ for SRBDs around 0.48 and for control group 0.7. These show that signals within the control group are more random whereas for the SRBD group ECGs are more deterministic. This finding remained valid for both signals acquired during the whole duration of experiment, and when shorter time intervals were considered. Proposed classifier provided sleep disorders diagnostics with a sensitivity of 93.75 and specificity of 73.00%. To validate our method we have considered also different variants as a training and as testing sets. In all cases, the optimal encoding parameter, sensitivity and specificity values were similar to our results above.

Conclusions
Our pilot study suggests that LZ based algorithm could be used as a clinical tool to classify sleep disorders since the LZ complexities for SRBD positives versus healthy individuals show a significant difference. Moreover, normalized LZ complexity changes are related to the snoring level. This study also indicates that LZ technique is able to detect sleep abnormalities in early disorders stage.

Keywords:

Information theory, Lempel-Ziv complexity, Entropy, ECG, Sleep-related breathing disorders, Randomness

Affiliations:
Pręgowska A.-IPPT PAN
Proniewska K.-Jagiellonian University (PL)
van Dam P.-PEACS BV, Nieuwerbrug (NL)
Szczepański J.-IPPT PAN
3.Błoński S., Pręgowska A., Michalek T., Szczepański J., The use of Lempel-Ziv complexity to analyze turbulence and flow randomness based on velocity fluctuations, BULLETIN OF THE POLISH ACADEMY OF SCIENCES: TECHNICAL SCIENCES, ISSN: 0239-7528, DOI: 10.24425/bpasts.2019.130876, Vol.67, No.5, pp.957-962, 2019
Abstract:

One of the mathematical tools to measure the generation rate of new patterns along a sequence of symbols is the Lempel-Ziv complexity (LZ). Under additional assumptions, LZ is an estimator of entropy in the Shannon sense. Since entropy is considered as a measure of randomness, this means that LZ can be treated also as a randomness indicator. In this paper, we used LZ concept to the analysis of different flow regimes in cold flow combustor models. Experimental data for two combustor’s configurations motivated by efficient mixing need were considered. Extensive computer analysis was applied to develop a complexity approach to the analysis of velocity fluctuations recorded with hot-wire anemometry and PIV technique. A natural encoding method to address these velocity fluctuations was proposed. It turned out, that with this encoding the complexity values of the sequences are well correlated with the values obtained by means of RMS method (larger/smaller complexity larger/smaller RMS). However, our calculations pointed out the interesting result that most complex, this means most random, behavior does not overlap with the “most turbulent” point determined by the RMS method, but it is located in the point with maximal average velocity. It seems that complexity method can be particularly useful to analyze turbulent and unsteady flow regimes. Moreover, the complexity can also be used to establish other flow characteristics like its ergodicity or mixing.

Keywords:

turbulence, complexity, entropy, randomness

Affiliations:
Błoński S.-IPPT PAN
Pręgowska A.-IPPT PAN
Michalek T.-IPPT PAN
Szczepański J.-IPPT PAN
4.Pręgowska A., Casti A., Kaplan E., Wajnryb E., Szczepański J., Information processing in the LGN: a comparison of neural codes and cell types, BIOLOGICAL CYBERNETICS, ISSN: 0340-1200, DOI: 10.1007/s00422-019-00801-0, Vol.113, No.4, pp.453-464, 2019
Abstract:

To understand how anatomy and physiology allow an organism to perform its function, it is important to know how information that is transmitted by spikes in the brain is received and encoded. A natural question is whether the spike rate alone encodes the information about a stimulus (rate code), or additional information is contained in the temporal pattern of the spikes (temporal code). Here we address this question using data from the cat Lateral Geniculate Nucleus (LGN), which is the visual portion of the thalamus, through which visual information from the retina is communicated to the visual cortex. We analyzed the responses of LGN neurons to spatially homogeneous spots of various sizes with temporally random luminance modulation. We compared the Firing Rate with the Shannon Information Transmission Rate , which quantifies the information contained in the temporal relationships between spikes. We found that the behavior of these two rates can differ quantitatively. This suggests that the energy used for spiking does not translate directly into the information to be transmitted. We also compared Firing Rates with Information Rates for X-ON and X-OFF cells. We found that, for X-ON cells the Firing Rate and Information Rate often behave in a completely different way, while for X-OFF cells these rates are much more highly correlated. Our results suggest that for X-ON cells a more efficient “temporal code” is employed, while for X-OFF cells a straightforward “rate code” is used, which is more reliable and is correlated with energy consumption.

Keywords:

Shannon information theory, Cat LGN, ON–OFF cells, Neural coding, Entropy, Firing rate

Affiliations:
Pręgowska A.-IPPT PAN
Casti A.-Fairleigh Dickinson University, Teaneck (US)
Kaplan E.-Icahn School of Medicine at Mount Sinai, New York (US)
Wajnryb E.-IPPT PAN
Szczepański J.-IPPT PAN
5.Kurnyta-Mazurek P., Kurnyta A., Pręgowska A., Kaźmierczak K., Frąś L.J., Application concept of the active magnetic suspension technology in the aircraft engine, Aviation Advances & Maintenance, ISSN: 2543-9456, DOI: 10.2478/afit-2018-0006, Vol.41, No.1, pp.161-193, 2018
6.Proniewska K., Pręgowska A., Malinowski K.P., Sleep-related breathing biomarkers as a predictor of vital functions, Bio-Algorithms and Med-Systems, ISSN: 1895-9091, DOI: 10.1515/bams-2017-0003, Vol.13, No.1, pp.43-49, 2017
Abstract:

Because an average human spends one third of his life asleep, it is apparent that the quality of sleep has an important impact on the overall quality of life. To properly understand the influence of sleep, it is important to know how to detect its disorders such as snoring, wheezing, or sleep apnea. The aim of this study is to investigate the predictive capability of a dual-modality analysis scheme for methods of sleep-related breathing disorders (SRBDs) using biosignals captured during sleep. Two logistic regressions constructed using backward stepwise regression to minimize the Akaike information criterion were extensively considered. To evaluate classification correctness, receiver operating characteristic (ROC) curves were used. The proposed classification methodology was validated with constructed Random Forests methodology. Breathing sounds and electrocardiograms of 15 study subjects with different degrees of SRBD were captured and analyzed. Our results show that the proposed classification model based on selected parameters for both logistic regressions determine the different types of acoustic events during sleep. The ROC curve indicates that selected parameters can distinguish normal versus abnormal events during sleep with high sensitivity and specificity. The percentage of prediction for defined SRBDs is very high. The initial assumption was that the quality of result is growing with the number of parameters included in the model. The best recognition reached is more than 89% of good predictions. Thus, sleep monitoring of breath leads to the diagnosis of vital function disorders. The proposed methodology helps find a way of snoring rehabilitation, makes decisions concerning future treatment, and has an influence on the sleep quality.

Keywords:

patient monitoring, sleep-related breathing disorders, vital functions

Affiliations:
Proniewska K.-Jagiellonian University (PL)
Pręgowska A.-IPPT PAN
Malinowski K.P.-Institute of Plasma Physics and Laser Microfusion (PL)
7.Konowrocki R., Szolc T., Pochanke A., Pręgowska A., An influence of the stepping motor control and friction models on precise positioning of the complex mechanical system, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, ISSN: 0888-3270, DOI: 10.1016/j.ymssp.2015.09.030, Vol.70-71, pp.397-413, 2016
Abstract:

This paper aims to investigate, both experimentally and theoretically, the electromechanical dynamic interaction between a driving stepping motor and a driven laboratory belt-transporter system. A test-rig imitates the operation of a robotic device in the form of a working tool-carrier under translational motion. The object under consideration is equipped with measurement systems, which enable the registration of electrical and mechanical quantities. Analytical considerations are performed by means of a circuit model of the electric motor and a discrete, non-linear model of the mechanical system. Various scenarios of the working tool-carrier motion and positioning by the belt-transporter are measured and simulated; in all cases the electric current control of the driving motor has been applied. The main goal of this study is to investigate the influence of the stepping motor control parameters along with various mechanical friction models on the precise positioning of a laboratory robotic device.

Keywords:

Belt transporter system, Precise positioning, Stepping motor, Current control, Experimental verification

Affiliations:
Konowrocki R.-IPPT PAN
Szolc T.-IPPT PAN
Pochanke A.-other affiliation
Pręgowska A.-IPPT PAN
8.Pręgowska A., Szczepański J., Wajnryb E., Temporal code versus rate code for binary Information Sources, NEUROCOMPUTING, ISSN: 0925-2312, DOI: 10.1016/j.neucom.2016.08.034, Vol.216, pp.756-762, 2016
Abstract:

Neuroscientists formulate very different hypotheses about the nature of neural coding. At one extreme, it has been argued that neurons encode information through relatively slow changes in the arrival rates of individual spikes (rate codes) and that the irregularity in the spike trains reflects the noise in the system. At the other extreme, this irregularity is the code itself (temporal codes) so that the precise timing of every spike carries additional information about the input. It is well known that in the estimation of Shannon Information Transmission Rate, the patterns and temporal structures are taken into account, while the “rate code” is already determined by the firing rate, i.e. by the spike frequency. In this paper we compare these two types of codes for binary Information Sources, which model encoded spike trains. Assuming that the information transmitted by a neuron is governed by an uncorrelated stochastic process or by a process with a memory, we compare the Information Transmission Rates carried by such spike trains with their firing rates. Here we show that a crucial role in the relation between information transmission and firing rates is played by a factor that we call the “jumping” parameter. This parameter corresponds to the probability of transitions from the no-spike-state to the spike-state and vice versa. For low jumping parameter values, the quotient of information and firing rates is a monotonically decreasing function of the firing rate, and there therefore a straightforward, one-to-one, relation between temporal and rate codes. However, it turns out that for large enough values of the jumping parameter this quotient is a non-monotonic function of the firing rate and it exhibits a global maximum, so that in this case there is an optimal firing rate. Moreover, there is no one-to-one relation between information and firing rates, so the temporal and rate codes differ qualitatively. This leads to the observation that the behavior of the quotient of information and firing rates for a large jumping parameter value is especially important in the context of bursting phenomena.

Keywords:

Information Theory, Information Source, Stochastic process, Information transmission rate, Firing rate

Affiliations:
Pręgowska A.-IPPT PAN
Szczepański J.-IPPT PAN
Wajnryb E.-IPPT PAN
9.Konowrocki R., Pręgowska A., Szolc T., Experimental and numerical investigations for the controlled rotary damper dynamically interacting with the electromechanical rotating system, SOLID STATE PHENOMENA, ISSN: 1012-0394, DOI: 10.4028/www.scientific.net/SSP.240.198, Vol.240, pp.198-205, 2016
Abstract:

In the paper dynamic electromechanical coupling between the structural model of the rotating machine drive system and the circuit model of the asynchronous motor has been investigated. By means of the computer model of the rotating machine drive system the results of experimental testing have been confirmed. From the obtained results of computations and measurements it follows that the coupling between the considered rotating system and the installed rotary dampers with the magneto-rheological fluid (MRF) results in effective energy dissipation leading to significant reduction of undesired torsional vibrations.

Keywords:

Electromechanical Coupling, Machine Drive Systems, Rotary MRF Actuator, Torsional Vibrations, Wavelet Transform (WT)

Affiliations:
Konowrocki R.-IPPT PAN
Pręgowska A.-IPPT PAN
Szolc T.-IPPT PAN
10.Pręgowska A., Szczepański J., Wajnryb E., Mutual information against correlations in binary communication channels, BMC NEUROSCIENCE, ISSN: 1471-2202, DOI: 10.1186/s12868-015-0168-0, Vol.16, No.32, pp.1-7, 2015
Abstract:

Background
Explaining how the brain processing is so fast remains an open problem (van Hemmen JL, Sejnowski T., 2004). Thus, the analysis of neural transmission (Shannon CE, Weaver W., 1963) processes basically focuses on searching for effective encoding and decoding schemes. According to the Shannon fundamental theorem, mutual information plays a crucial role in characterizing the efficiency of communication channels. It is well known that this efficiency is determined by the channel capacity that is already the maximal mutual information between input and output signals. On the other hand, intuitively speaking, when input and output signals are more correlated, the transmission should be more efficient. A natural question arises about the relation between mutual information and correlation. We analyze the relation between these quantities using the binary representation of signals, which is the most common approach taken in studying neuronal processes of the brain.

Results
We present binary communication channels for which mutual information and correlation coefficients behave differently both quantitatively and qualitatively. Despite this difference in behavior, we show that the noncorrelation of binary signals implies their independence, in contrast to the case for general types of signals.

Conclusions
Our research shows that the mutual information cannot be replaced by sheer correlations. Our results indicate that neuronal encoding has more complicated nature which cannot be captured by straightforward correlations between input and output signals once the mutual information takes into account the structure and patterns of the signals.

Keywords:

Shannon information, Communication channel, Entropy, Mutual information, Correlation, Neuronal encoding

Affiliations:
Pręgowska A.-IPPT PAN
Szczepański J.-IPPT PAN
Wajnryb E.-IPPT PAN
11.Dyniewicz B., Pręgowska A., Bajer C.I., Adaptive control of a rotating system, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, ISSN: 0888-3270, DOI: 10.1016/j.ymssp.2013.09.006, Vol.43, pp.90-102, 2014
Abstract:

In the present paper, an adaptive control of structural vibrations is presented. Based on earlier research, we claim that the periodical switching on of magneto-rheological controlled dampers results in the reduction of the amplitudes of vibrations more than does their permanent actuation. This statement, when applied to a moving load problem, was mathematically proved in earlier papers. In the present paper we determine the efficiency of such a control applied to a rotating shaft. The earlier mathematical analysis allows us to propose a control strategy. A finite element simulation together with the solution of the control problem shows that the dampers should act only during a short period of the highest displacements of the structure. The same conclusion is found in experimental tests. Although high frequency control with MR dampers is less efficient than in the theoretical investigations, we have found an amplitude reduction in the range of 10–20%.

Keywords:

Adaptive control, Semi-active control, Vibration control, Shaft vibrations, Torsional vibrations, Magneto-rheological dampers

Affiliations:
Dyniewicz B.-IPPT PAN
Pręgowska A.-IPPT PAN
Bajer C.I.-IPPT PAN
12.Szolc T., Konowrocki R., Michajłow M., Pręgowska A., An investigation of the dynamic electromechanical coupling effects in machine drive systems driven by asynchronous motors, MECHANICAL SYSTEMS AND SIGNAL PROCESSING, ISSN: 0888-3270, DOI: 10.1016/j.ymssp.2014.04.004, Vol.49, pp.118-134, 2014
Abstract:

In the paper dynamic electromechanical interaction between the rotating machine drive system and the electric driving motor is considered. The investigations are performed by means of the circuit model of the asynchronous motor as well as using an advanced structural hybrid model of the drive system. Using the analytical solutions applied for the electrical and the mechanical systems the electromagnetic stiffness and coefficient of damping, both generated by the electric motor rotationally interacting with the mechanical system of the given dynamic properties, were determined. By means of experimentally validated computational responses obtained for torsional harmonic excitation induced by the driven machine working tool, a modification of dynamic properties of the mechanical system by the electromagnetic flux between the stator and the rotor has been studied.

Keywords:

Machine drive system, Asynchronous motor, Electromechanical coupling

Affiliations:
Szolc T.-IPPT PAN
Konowrocki R.-IPPT PAN
Michajłow M.-IPPT PAN
Pręgowska A.-IPPT PAN
13.Pręgowska A., Konowrocki R., Szolc T., Analysis of rotating systems using actuators with magnetorheological fluid to vibration minimization – theoretical and experimental investigation, Symulacja w Badaniach i Rozwoju, ISSN: 2081-6154, Vol.5, No.3, pp.191-198, 2014
Abstract:

The analysis of damped rotating systems using actuators with magnetorheological fluid is the subject of interest. The main purpose of this research is minimization of vibration amplitudes in order to increase fatigue durability of the most responsible machine elements. Here, control damping torques are generated by magnetorheological fluid of adjustable viscosity.
The theoretical investigations are based on a hybrid and finite element structural model (FEM) of the mechanical structure as well as on sensitivity analysis of the response with respect to the actuators damping characteristics. The analysis performed in the paper combines experimental verification using the laboratory test rig with theoretical computations.

Keywords:

rotating systems, torsional vibrations, actuators with a magnetorheological fluid, rotary actuators

Affiliations:
Pręgowska A.-IPPT PAN
Konowrocki R.-IPPT PAN
Szolc T.-IPPT PAN
14.Pręgowska A., Konowrocki R., Szolc T., On the semi-active control method for torsional vibrations in electro-mechanical systems by means of rotary actuators with a magneto-rheological fluid, JOURNAL OF THEORETICAL AND APPLIED MECHANICS, ISSN: 1429-2955, Vol.51, No.4, pp.979-992, 2013
Abstract:

The aim of this paper is to present a method of the semi-active control of torsional vibrations in a working machine drive system by means of rotary actuators with a magneto-rheological fluid. The simple open-loop control strategy is proposed for a mechanical system vibrating in steady-state operating conditions. This semi-active control approach is based on the principle of optimum viscous damping and frictional properties realized by the magneto-rheological fluid, where its respective parameters are determined by the applied control electric currents. The analysis is performed theoretically by means of structural electro-mechanical models of the considered drive system as well as experimentally using a laboratory test rig in the form of a rotor-shaft system co-operating with two asynchronous motors generating properly programmed driving and retarding electro-magnetic torques

Keywords:

semi-active control, torsional vibrations, magneto-rheological rotary dampers

Affiliations:
Pręgowska A.-IPPT PAN
Konowrocki R.-IPPT PAN
Szolc T.-IPPT PAN
15.Pręgowska A., Konowrocki R., Szolc T., Semi-active vibration control using a rotary magnetorheological damper – experimental verification, POMIARY - AUTOMATYKA - ROBOTYKA. PAR, ISSN: 1427-9126, Vol.2, pp.487-491, 2013
Abstract:

From all kinds of vibrations, torsional ones are very important as naturally associated with fundamental rotational drive system motion. The aim of this paper is to present semi-active control of torsional vibrations of the working machine drive systems, which is performed using a rotary damper with the magnetorheological fluid. The main purpose of this research is vibration amplitudes minimization in order to increase fatigue durability of the most responsible machine elements. The special control strategies are proposed for steady-state torsional vibrations suppression. The semi-active control method is based on a principle of determinational optimum current damping coefficient values, which is realized by the magneto-rheological fluid application. The analysis performed in the paper combines experimental verification using the laboratory test rig with theoretical computations. This experiment was designed in the form of the laboratory drive system co-operating with two asynchronous motors generating properly programmed driving and retarding electromagnetic torques.

Keywords:

semi-active control, torsional vibrations, rotary dampers, magnetorheological fluid, electromechanical drive system

Affiliations:
Pręgowska A.-IPPT PAN
Konowrocki R.-IPPT PAN
Szolc T.-IPPT PAN
16.Pręgowska A., Konowrocki R., Szolc T., Experimental verification of the semi-active control concepts for torsional vibrations of the electro-mechanical system using rotary magneto-rheological actuators, VIBRATIONS IN PHYSICAL SYSTEMS, ISSN: 0860-6897, Vol.25, pp.329-334, 2012
Abstract:

In the paper semi-active control of torsional vibrations of the rotating machine drive system driven by an electric motor is performed by means of rotary actuators with the magneto-rheological fluid. The main purpose of these studies is a minimisation of vibration amplitudes in order to increase the fatigue durability of the most responsible elements, assure possibly precise motion of the driven machine working tool as well as to reduce a generated noise level. For suppression of steady-state torsional vibrations excited by dynamic external torques generated by the motor and by the driven object there are proposed control strategies based on a principle of optimum current damping coefficient values realized by the magneto-rheological fluid. The theoretical control concepts are experimentally verified using the laboratory test rig in the form of drive system co-operating with two asynchronous motors generating properly programmed driving and retarding electromagnetic torques.

Keywords:

semi-active control, torsional vibrations, rotary actuators, magneto-rheological fluid

Affiliations:
Pręgowska A.-IPPT PAN
Konowrocki R.-IPPT PAN
Szolc T.-IPPT PAN

List of recent monographs
1.
579
Pręgowska A., Proniewska K., Sleep Disorders - Biostatistical and Information Theory Based Approach, Scholar's Press, pp.1-108, 2018
List of chapters in recent monographs
1.
438
Pręgowska A., Szolc T., Pochanke A., Konowrocki R., Recent Advances in Automation, Robotics and Measuring Techniques, rozdział: Modeling and dynamic analysis of the precise electromechanical systems driven by the stepping motors, Springer International Publishing, Series: Advances in Intelligent Systems and Computing, 267, Part I, pp.205-215, 2014

Conference papers
1.Konowrocki R., Pochanke A., Pręgowska A., Szolc T., An analysis of precise positioning scenarios of the electromechanical rotating system driven by a stepping motor, SIRM 2015, 11th International Conference on Vibrations in Rotating Machines, 2015-02-23/02-25, Magdeburg (DE), No.ID-40, pp.1-10, 2015
Abstract:

In the paper there is investigated experimentally and theoretically electromechanical dynamic interaction between the driving stepping motor and the driven laboratory belt-transporter system imitating an operation of the robotic device in the form of working tool-carrier under translational motion. The considered object is properly equipped with measurement systems enabling us a registration of studied electrical and mechanical quantities. The analytical considerations are performed by means of the circuit model of the electric motor and of the discrete, non-linear model of the mechanical system. In the investigated examples various scenarios of the working tool-carrier motion and positioning by the belt-transporter are measured and simulated, where in the all cases the electric current control of the driving motor has been applied.

Keywords:

Belt transporter system, Precise positioning, Stepping motor, Current control, Experimental verification

Affiliations:
Konowrocki R.-IPPT PAN
Pochanke A.-other affiliation
Pręgowska A.-IPPT PAN
Szolc T.-IPPT PAN

Conference abstracts
1.Proniewska K., Pręgowska A., van Dam P., Szczepański J., Automated ECG and acoustic signal based diagnosis of sleep disorders, NFIC 2018, 19th Interventional Cardiology Workshop New Frontiers in Interventional Cardiology, 2018-12-06/12-06, Kraków (PL), pp.10-11, 2018
2.Paprocki B., Pręgowska A., Szczepański J., Information Processing in Brain-Inspired Networks: Size and Density Effects, SolMech 2016, 40th Solid Mechanics Conference, 2016-08-29/09-02, Warszawa (PL), No.P192, pp.1-2, 2016
3.Proniewska K., Pręgowska A., Adaptive design approach to tele-Health trials based on Biostatical and Information Theory methods, Telemedicine and eHealth, 2016-09-02/09-03, Warszawa (PL), pp.1, 2016
Keywords:

adaptive design, biostatistic, information Theory

Affiliations:
Proniewska K.-Jagiellonian University (PL)
Pręgowska A.-IPPT PAN
4.Proniewska K., Pręgowska A., New approach to quantify breathing pattern changes using a monitoring scoring system, Telemedicine and eHealth, 2016-09-02/09-03, Warszawa (PL), pp.1, 2016
Keywords:

quantify breathing pattern, patient monitoring

Affiliations:
Proniewska K.-Jagiellonian University (PL)
Pręgowska A.-IPPT PAN
5.Szczepański J., Sanchez-Vives M.V., Arnold M.M., Montejo N., Paprocki B., Pręgowska A., Amigó J.M., Wajnryb E., Analyzing Neuroscience Signals using Information Theory and Complexity Shannon Communication Approach, 12th INCF, 12th INCF Workshop on Node Communication and Collaborative Neuroinformatics, 2015-04-16/04-17, Warszawa (PL), pp.1-32, 2015

Patents
Filing No./Date
Filing Publication
Autor(s)
Title
Protection Area, Applicant Name
Patent Number
Date of Grant
pdf
424702
2018-02-28
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Frąś L.J., Jarząbek D., Pręgowska A.
Przyrząd pomiarowy do mikroskopowej obserwacji i pomiaru deformacji materiałów w czasie rzeczywistym
PL, Instytut Podstawowych Problemów Techniki PAN
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421696
2017-05-24
BUP 25/18
2018-12-03
Frąś L.J., Kołbuk-Konieczny D., Pręgowska A.
Uchwyt pomiarowy do Dzielonego Pręta Hopkinsona oraz sposób pomiaru zachowania materiału, w którym stosuje się Dzielony Pręt Hopkinsona
PL, Instytut Podstawowych Problemów Techniki PAN
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Patents
Numer/data zgłoszenia
Ogłoszenie o zgłoszeniu
Twórca/y
Rodzaj i tytuł chronionego dobra intelektualnego
Kraj objęcia ochroną Podmiot(y) uprawniony/e
Numer prawa ochronnego
Ogłoszenie o udzieleniu
pdf
126911
2017-12-28
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-
Pręgowska A., Jarząbek D., Frąś L.J.
wzór użytkowy
Uchwyt do modułu umożliwiającego obserwację deformacji materiałów pod mikroskopem optycznym
PL, Instytut Podstawowych Problemów Techniki PAN
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