Gypsum labyrinthine caves are characterized by a complex spatial structure, which can be treated as fractals and can be studied using appro- priate mathematical tools. Capacitance and correlation fractal dimensions of largest gypsum caves of the Western Ukraine (as well as the World’s largest ones) were calculated. The results were used to predict findings of new, undiscovered cave mazes parts.
00728nas a2200157 4500000000100000000000100001000000100002008004100003260000700044100002700051700002300078700002100101245006300122520037100185022001400556 2013 d c11 1 aViacheslav Andreychouk 1 aTomasz Błachowicz 1 aKrzysztof Domino 00 aFractal dimensions of gypsum cave-mazes of Western Ukraine 3 aGypsum maze caves of Western Ukraine are characterized by a complex spatial structure, which can be treated as fractals and can be studied using appropriate mathematical tools. Capacitance and correlation fractal dimensions of largest gypsum caves of the region were calculated. The results were used to predict findings of new, yet undiscovered parts of cave mazes. a1997-7492 00899nas a2200133 4500000000100000000000100001008004100002100002100043245010900064300001400173490000800187520055000195022002000745 2012 d 1 aKrzysztof Domino 00 aThe use of the Hurst exponent to investigate the global maximum of the Warsaw Stock Exchange WIG20 index a156–169 0 v391 3 aThe WIG20 index – the index of the 20 biggest companies traded on the Warsaw Stock Exchange – reached the global maximum on 29th October 2007. I have used the local DFA (Detrended Functional Analysis) to obtain the Hurst exponent (diffusion exponent) and investigate the signature of anti-correlation of share price evolution around the maximum. The analysis was applied to the share price evolution for variable DFA parameters. For many values of parameters, the evidence of anti-correlation near the WIG20 maximum was pointed out.
aISSN: 0378-4371 01301nas a2200133 4500000000100000000000100001008004100002100002100043245009200064300001300156490000800169520097600177022001401153 2011 d 1 aKrzysztof Domino 00 aThe use of the Hurst exponent to predict changes in trends on the Warsaw Stock Exchange a98–109 0 v390 3 aThe local properties of the time series of the evolution of share prices of 126 significant companies traded on the Warsaw Stock Exchange during the period between 1991–2008 have been investigated. The analysis was applied to daily financial returns. I have used the local DFA to obtain the Hurst exponent (diffusion coefficient) while searching for negative correlations by which changes of long-term trends would be effected. A certain evidence, proving that after the signature of anti-correlation – the drop in the Hurst exponent – the change in the trend and in the return rate of an investment is probable, was pointed out. Hence after further investigation this method may be useful as a part of an investment strategy. As the Warsaw Stock Exchange is relatively smaller and younger than other significant world Stock Exchanges – and as the developing market is less efficient – the generalization for others markets needs further investigation.
a0378-4371 01174nas a2200157 4500000000100000000000100001008004100002260001200043100002100055700002300076245011000099300001400209490000800223520077100231022001401002 2015 d c01/2015 1 aKrzysztof Domino 1 aTomasz Błachowicz 00 aThe use of copula functions for modeling the risk of investment in shares traded on world stock exchanges a142–151 0 v424 3 aIn this paper the two dimensional model of the investment in shares is presented. The shares prices from five different world stock exchanges (New York, London, Frankfurt, Honk Kong, and Sydney) are examined. The copula functions are used to model the risk of investment. The Hurst threshold exponent derived from the local Detrended Fluctuation Analysis is used to determine the safe investment portfolios with no extreme drops in shares prices. The most important result states that the threshold value is not universal for different markets, however, it is influenced by the subsequent level of market freedom. It was shown, that the level, relatively larger in US, UK, and Australia than in Germany and China, affects the Hurst exponent threshold value.
a0378-4371 01349nas a2200145 4500000000100000000000100001008004100002100002100043700002300064245011400087300001200201490000800213520096800221022001401189 2014 d 1 aKrzysztof Domino 1 aTomasz Błachowicz 00 aThe use of copula functions for modeling the risk of investment in shares traded on the Warsaw Stock Exchange a77–85 0 v413 3 aIn our work copula functions and the Hurst exponent calculated using the local Detrended Fluctuation Analysis (DFA) were used to investigate the risk of investment made in shares traded on the Warsaw Stock Exchange. The combination of copula functions and the Hurst exponent calculated using local DFA is a new approach. For copula function analysis bi- variate variables composed of shares prices of the PEKAO bank (a big bank with high capitalization) and other banks (PKOBP, BZ WBK, MBANK and HANDLOWY in decreasing capitalization order) and companies from other branches (KGHM—mining industry, PKNORLEN—petrol industry as well as ASSECO—software industry) were used. Hurst ex- ponents were calculated for daily shares prices and used to predict high drops of those prices. It appeared to be a valuable indicator in the copula selection procedure, since Hurst exponent’s low values were pointing on heavily tailed copulas e.g. the Clayton one.
a0378-4371 01430nas a2200169 4500000000100000000000100001008004100002260001200043100002100055700002300076700001900099245010000118300001400218490000800232520100600240022001401246 2014 d c07/2014 1 aKrzysztof Domino 1 aTomasz Błachowicz 1 aMaurycy Ciupak 00 aThe use of copula functions for predictive analysis of correlations between extreme storm tides a489–497 0 v413 3 aIn this paper we present a method used in quantitative description of weakly predictable hydrological, extreme events at inland sea. Investigations for correlations between variations of individual measuring points, employing combined statistical methods, were carried out. As a main tool for this analysis we used a two-dimensional copula function sensitive for correlated extreme effects. Additionally, a new proposed methodology, based on Detrended Fluctuations Analysis (DFA) and Anomalous Diffusion (AD), was used for the prediction of negative and positive auto-correlations and associated optimum choice of copula functions. As a practical example we analysed maximum storm tides data recorded at five spatially separated places at the Baltic Sea. For the analysis we used Gumbel, Clayton, and Frank copula functions and introduced the reversed Clayton copula. The application of our research model is associated with modelling the risk of high storm tides and possible storm flooding.
a0378-4371 01375nas a2200181 4500000000100000000000100001008004100002100001900043700002300062700002100085700001900106700001700125700001700142245010000159490001200259520090800271022001401179 2015 d 1 aAndrea Ehrmann 1 aTomasz Błachowicz 1 aKrzysztof Domino 1 aSusanne Aumann 1 aMarcus Weber 1 aHafed Zghidi 00 aExamination of hairiness changes due to washing in knitted fabrics using a random walk approach 0 v85 (20) 3 aThe relaxation of knitted fabrics is usually described in terms of dimensional changes of knitted loop widths and heights or fabric widths and heights, respectively. Due to washing, however, additional changes in the optical appearance and the haptic properties of a knitted fabric can occur, such as a change in the regularity or the hairiness. This article uses the random walk statistical approach to estimate the structural complexity of knitted fabrics directly after production and up to 10 washing cycles and shows that the Hurst exponent, resulting from the random walk process, is partly related to the cover factor of the knitted fabrics under investigation; however, it depicts significant contributions of the hairiness. Thus, this novel approach offers a quantitative measure of structural changes in knitted fabrics that cannot be described by cover factor or dimensional changes.
a1746-7748 01556nas a2200157 4500000000100000000000100001000000100002008004100003100001800044700001300062700001600075700002100091245010800112490000700220520117100227 2013 d 1 aN. Kruszewska 1 aP. Weber 1 aA. Gadomski 1 aKrzysztof Domino 00 aA METHOD OF MECHANICAL CONTROL OF STRUCTURE-PROPERTY RELATIONSHIP IN GRAINS-CONTAINING MATERIAL SYSTEMS 0 v44 3 aMaterial systems can grow indefinitely large unless there appear some physical restrictions superimposed on them. At first approximation, they can be restricted in their evolution by means of an external mechanical factor such as pressure. If the material system’s evolution can be described by a Smoluchowski type equation in the phase space of grain sizes, the average grain size magnitude can be suitably controlled by such mechanical factor. Both magnitude and direction of the factor can render the grain sizes either bigger or smaller than the one expected without any influence of the factor. We propose to embody the mechanical factor in the drift term of the corresponding Smoluchowski equation, in general, derivable from the entropy production principle. Such an embodiment allows one to modify controllably (over certain distinguished time scales of the process) the grain sizes, thus, the mechanically affected material properties such as superplasticity or superconductivity. A simple econophysical example, addressing investment strategies upon random-market tensions, is added to support the overall rationale of the method thus developed.
00881nas a2200169 4500000000100000000000100001008004100002100001700043700001900060700002200079700002100101700001900122245007500141300001400216490000600230520047500236 2015 d 1 aHafed Zghidi 1 aMaksym Walczak 1 aTomasz Blachowicz 1 aKrzysztof Domino 1 aAndrea Ehrmann 00 aImage Processing and Analysis of Textile Fibers by Virtual Random Walk a717–720 0 v5 3 aAn algorithm for extracting material shape and spatial information from non-uniform background, and for generating object skeletons for statistical two-dimensional experiments using random walk approach, is presented. This finds applications in textile analysis and microscopic analysis of various materials like hairs and allows for further precise determination of textile yarn dimensions as well as other geometrical characteristics like a fractal dimension.
01428nas a2200181 4500000000100000000000100001008004100002260000900043100002100052700002300073700002700096245009000123856010300213300001200316490000700328520089500335022001601230 2015 d c2015 1 aKrzysztof Domino 1 aPrzemysław Głomb 1 aZbigniew Łaskarzewski 00 aClassification of LPG clients using the Hurst exponent and the correlation coeficient uhttp://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-1ba91297-f921-4524-927c-381996c36512 a13–24 0 v27 3 aIn this paper we present the analysis of the gas usage for different types of buildings. First, we introduce the classical theory of building heating. This allows the establishment of theoretical relations between gas consumption time series and the outside air temperature for different types of buildings, residential and industrial. These relations imply dierent auto-correlations of gas usage time series as well as different cross-correlations between gas consumption and temperature time series for different types of buildings. Therefore, the autocorrelation and the cross-correlation were used to classify the buildings into three classes: housing, housing with high thermal capacity, and industry. The Hurst exponent was calculated using the global DFA to investigate auto-correlation, while the Kendall's τ rank coeficient was calculated to investigate cross-correlation
a 1896-5334 01178nas a2200169 4500000000100000000000100001008004100002100002200043700001900065700002100084245012100105856007100226300001400297490000800311520067500319022001400994 2016 d 1 aTomasz Blachowicz 1 aAndrea Ehrmann 1 aKrzysztof Domino 00 aStatistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions uhttp://www.sciencedirect.com/science/article/pii/S0378437116001795 a167 - 177 0 v452 3 aAbstract Distinction of diverse two-dimensional periodic structures can be based on a large number of methods and parameters, while the quantitative description of differences between similar samples is usually difficult. This article aims, by the use of statistical random walk in a generalized q-order dimensional space, at introducing a methodology to qualify the networked structures on the basis of exemplary textile samples. The presented results were obtained at 1-bit monochromatic maps obtained from optical microscopic pictures. Significant features of samples were represented by the obtained distributions of Hurst exponents and Shannon entropy calculations. a0378-4371 01766nas a2200133 4500000000100000000000100001008004100002100002200043700001900065700001700084700002100101245007400122520143600196 2015 d 1 aTomasz Blachowicz 1 aAndrea Ehrmann 1 aHafed Zghidi 1 aKrzysztof Domino 00 aOptical determination of hemp fiber structures by statistical methods 3 aOne of the most challenging tasks in optical examination of natural fibers – besides measuring fiber lengths and diameters – is the determination of the possible existence of branches in a fiber. Since usual automatic fiber examination systems are known to be irritated by fiber bifurcations, possibly leading to unreliable length measurements, a mechanism to detect and evaluate side branches would be helpful for both the developers and users of automatic fiber examination systems. Additionally, fibers with higher and lower amounts of bifurcations can be expected to show different mechanical properties when spun to a yarn or used in a fiber -reinforced plastic composite. Thus, different statistical methods have been used for image processing of scanned or microscopic pictures of natural fibers, such as hemp, flax, or linen. One of them, the so-called random-walk method, has been used before for the examination of microscopic images of yarns [1] and knitted fabrics [2-4], resulting in a novel method to measure yarn hairiness and fiber fineness optically. The article gives an overview of different shapes of single hemp fibers and fiber bundles and shows which differentiations can be made using statistical methods on the scanned pictures, pre-treated with newly developed numerical filters. These approaches are used to distinguish between hemp fibers which have been pre-treated with different methods.
01085nas a2200217 4500000000100000000000100001008004100002100001900043700001400062700002200076700002100098700001200119700001400131700001300145700001300158700002000171245005400191300001100245490000800256520060300264 2016 d 1 aAndrea Ehrmann 1 aS Komraus 1 aTomasz Blachowicz 1 aKrzysztof Domino 1 aMK Nees 1 aPJ Jakobs 1 aH Leiste 1 aM Mathes 1 aM Schaarschmidt 00 aPseudo exchange bias due to rotational anisotropy a7–10 0 v412 3 aFerromagnetic nanostructure arrays with particle dimensions between 160 nm and 400 nm were created by electron-beam lithography. The permalloy structures consist of rectangular-shaped walls around a square open space. While measuring their magnetic properties using the Magneto-Optical Kerr Effect (MOKE), in some angular regions an exchange bias (EB) seemed to appear. This paper gives an overview of possible reasons for this “pseudo exchange bias” and shows experimentally and by means of micromagnetic simulations that this effect can be attributed to unintentionally measuring minor loops. 01689nas a2200133 4500000000100000000000100001008004100002260001200043100002100055245010800076856005000184490000800234520131300242 2017 d c10/2016 1 aKrzysztof Domino 00 aThe use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios uhttp://dx.doi.org/10.1016/j.physa.2016.10.042 0 v467 3 aThe cumulant analysis plays an important role in non Gaussian distributed data analysis. The shares' prices returns are good example of such data. The purpose of this research is to develop the cumulant based algorithm and use it to determine eigenvectors that represent investment portfolios with low variability. Such algorithm is based on the Alternating Least Square method and involves the simultaneous minimisation 2'nd - 6'th cumulants of the multidimensional random variable (percentage shares' returns of many companies). Then the algorithm was tested during the recent crash on the Warsaw Stock Exchange. To determine incoming crash and provide enter and exit signal for the investment strategy the Hurst exponent was calculated using the local DFA. It was shown that introduced algorithm is on average better that benchmark and other portfolio determination methods, but only within examination window determined by low values of the Hurst exponent. Remark that the algorithm of is based on cumulant tensors up to the 6'th order calculated for a multidimensional random variable, what is the novel idea. It can be expected that the algorithm would be useful in the financial data analysis on the world wide scale as well as in the analysis of other types of non Gaussian distributed data.
00361nas a2200133 4500000000100000000000100001008004100002100002100043700001400064700002400078245008100102856003700183490000700220 2017 d 1 aKrzysztof Domino 1 aAdam Glos 1 aMateusz Ostaszewski 00 aSuperdiffusive quantum stochastic walk definable on arbitrary directed graph uhttps://arxiv.org/abs/1701.04624 0 v17 00430nas a2200157 4500000000100000000000100001008004100002100002100043700001400064700002400078700001900102700002500121245008000146856003900226490000700265 2018 d 1 aKrzysztof Domino 1 aAdam Glos 1 aMateusz Ostaszewski 1 aŁukasz Pawela 1 aPrzemysław Sadowski 00 aProperties of quantum stochastic walks from the asymptotic scaling exponent uhttps://doi.org/10.26421/QIC18.3-4 0 v18 01097nas a2200157 4500000000100000000000100001008004100002100002100043700001700064700001900081245005900100856005400159300001000213490000700223520070900230 2018 d 1 aKrzysztof Domino 1 aPiotr Gawron 1 aŁukasz Pawela 00 aEfficient computation of higher order cumulant tensors uhttps://epubs.siam.org/doi/abs/10.1137/17M1149365 aA1610 0 v40 3 aIn this paper, we introduce a novel algorithm for calculating arbitrary order
cumulants of multidimensional data. Since the d'th order
cumulant can be presented in the form of an d-dimensional tensor, the
algorithm is presented using tensor operations. The algorithm provided in the
paper takes advantage of super-symmetry of cumulant and moment tensors.
We show that the proposed algorithm considerably reduces the computational
complexity and the computational memory requirement of cumulant calculation as
compared with existing algorithms. For the sizes of interest, the
reduction is of the order of d! compared to the naive algorithm.
High order cumulant tensors carry information about statistics of non-normally distributed multivariate data. In this work we present a new efficient algorithm for calculation of cumulants of arbitrary order in a sliding window for data streams. To present an application of the algorithm, we propose a measure of non-normality of data stream based on tensor norms of high order cumulant tensors. We show how to detect the transition from Gaussian distributed data to non-Gaussian ones in a~data stream. In order to achieve high implementation efficiency of operations on super-symmetric tensors, such as cumulant tensors, we employ the block structure to store and calculate only one hyper-pyramid part of such tensors.
01587nas a2200121 4500000000100000000000100001008004100002100002100043700001400064245011600078856003700194520123400231 2018 d 1 aKrzysztof Domino 1 aAdam Glos 00 aIntroducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas uhttps://arxiv.org/abs/1803.07813 3 aIn this paper, we present the algorithm that alters the subset of marginals of multivariate standard distributed data into such modelled by an Archimedean copula. Proposed algorithm leaves a correlation matrix almost unchanged, but introduces a higher order correlation into a subset of marginals. Our data transformation algorithm can be used to analyse whether particular machine learning algorithm, especially a dimensionality reduction one, utilises higher order correlations or not. We present an exemplary application on two features selection algorithms, mention that features selection is one of the approaches to dimensionality reduction. To measure higher order correlation, we use multivariate higher order cumulants, hence to utilises higher order correlations be to use the Joint Skewness Band Selection (JSBS) algorithm that uses third-order multivariate cumulant. We show the robust performance of the JSBS in contrary to the poor performance of the Maximum Ellipsoid Volume (MEV) algorithm that does not utilise such higher order correlations. With this result, we confirm the potential application of our data generation algorithm to analyse a performance of various dimensionality reduction algorithms.
01325nas a2200133 4500000000100000000000100001008004100002260001200043100002100055245007600076490000800152520101700160022001401177 2020 d c07/2020 1 aKrzysztof Domino 00 aMultivariate cumulants in outlier detection for financial data analysis 0 v558 3 aThere are many research papers yielding the financial data models, where returns are tied either to the fundamental analysis or to the individual, often irrational, behaviour of investors. In the second case the bubble followed by the crisis is possible on the market. Such bubble or crisis is reflected by the cross-correlated extreme positive or negative returns of many assets. Such returns are modelled by the copula with the meaningful tail dependencies. The typical model of such cross-correlation provides the t-Student copula. The author demonstrates that the mutual information tied to this copula can be measured by the 4th order multivariate cumulants. Tested on the artificial data, the 4th order multivariate cumulant approach was used successfully for the financial crisis detection. For this end the author introduces the outliers detection algorithm. In addition this algorithm displays the potential application for the crisis prediction, complementary to the auto-correlation analysis.
a0378-4371 00914nas a2200157 4500000000100000000000100001008004100002260001200043100002200055700002700077700002100104245009100125856010300216490000700319520043000326 2018 d c06/2018 1 aTomasz Blachowicz 1 aViacheslav Andreychouk 1 aKrzysztof Domino 00 aRandom walk analysis of cave maps for exemplary gypsum caves- mazes of Western Ukraine uhttp://yadda.icm.edu.pl/yadda/element/bwmeta1.element.baztech-4877dc6c-6a75-45ae-bf9c-dffa091a26a1 0 v36 3 aThe paper presents a new method of quantitative parameterization of net geomorphological struc-
tures with the use of random walk formalism and an analysis of Hurst exponent distribution derived from
random walk experiments. As examples, horizontally developed gypsum caves were elaborated. The provid-
ed methodology is able to uniquely characterize cave systems.
00522nas a2200169 4500000000100000000000100001008004100002260001200043100002300055700002400078700002000102700002100122245011600143856007100259490000800330022001400338 2018 d c07/2018 1 aPrzemysław Głomb 1 aMichał Romaszewski 1 aMichał Cholewa 1 aKrzysztof Domino 00 aApplication of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns uhttp://www.sciencedirect.com/science/article/pii/S0379073818303657 0 v290 a0379-0738 02151nas a2200157 4500000000100000000000100001008004100002260001200043100002300055700002100078700002300099245013800122856005300260490000800313520167200321 2019 d c11/2018 1 aMałgorzata Domino 1 aKrzysztof Domino 1 aZdzisław Gajewski 00 aAn application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy uhttps://doi.org/10.1016/j.biosystems.2018.10.019 0 v175 3 a
The analysis of the uterine contraction have become a general practice in an effort to improve the clinical management of uterine contractions during pregnancy and labour in human beings. The fluctuations in uterine activity may occur without affecting progress of gestation, however the painful and fashion contractions may be the first threat of misscarage. While pigs were considered as an referential preclinical model, the computational modelling of spontaneous myoelectrical activity of complex systems of porcine myometrium in peri-fertilization period has been proposed. The higher order statistic, multivariate cumulants and Joint Skewness Band Selection method, have been applied to study the dependence structure of electromyographic (EMG) signal with an effective EMG feature. Than the model of recognition of multivariate, myoelectricaly changes according to crucial stages for successful fertilization and early pregnancy maintenance has been estimated. We found that considering together time and frequency features of EMG signal was extremely non-Gaussian distributed and the higher order multivariate statistics such as cumulants, have to be used to determine the pattern of myoelectrical activity in reproductive tract. We confirmed the expectance that the probabilistic model changes on a daily base. We demonstrated the changes in proposed model at the crucial time points of in peri-fertilization period. We speculate the activity of the middle of uterine horn and the power (minimum and maximum) and pauses between myoelectrical burst features are essential for the functional role of uterine contractility in peri-fertilization period.
02140nam a2200133 4500000000100000000000100001008004100002260002400043100002100067245005200088856003700140520180100177022002801978 2019 d b IITiS PAN aGliwice 1 aKrzysztof Domino 00 aSelected Methods for non-Gaussian Data Analysis uhttps://arxiv.org/abs/1811.10486 3 aThe basic goal of computer engineering is the analysis of data. Such data are often large data sets distributed according to various distribution models. In this manuscript we focus on the analysis of non-Gaussian distributed data. In the case of univariate data analysis we discuss stochastic processes with auto-correlated increments and univariate distributions derived from specific stochastic processes, i.e. Levy and Tsallis distributions. Deep investigation of multivariate non-Gaussian distributions requires the copula approach. A copula is an component of multivariate distribution that models the mutual interdependence between marginals. There are many copula families characterised by various measures of the dependence between marginals. Importantly, one of those are `tail' dependencies that model the simultaneous appearance of extreme values in many marginals. Those extreme events may reflect a crisis given financial data, outliers in machine learning, or a traffic congestion. Next we discuss higher order multivariate cumulants that are non-zero if multivariate distribution is non-Gaussian. However, the relation between cumulants and copulas is not straight forward and rather complicated. We discuss the application of those cumulants to extract information about non-Gaussian multivariate distributions, such that information about non-Gaussian copulas. The use of higher order multivariate cumulants in computer science is inspired by financial data analysis, especially by the safe investment portfolio evaluation. There are many other applications of higher order multivariate cumulants in data engineering, especially in: signal processing, non-linear system identification, blind sources separation, and direction finding algorithms of multi-source signals.
aISBN: 978-83-926054-3-0 02528nas a2200193 4500000000100000000000100001008004100002260001200043100002300055700002100078700002200099700001500121700002300136700002300159245013100182856006100313490000800374520195200382 2019 d c01/2019 1 aMałgorzata Domino 1 aKrzysztof Domino 1 aBartosz Pawlinski 1 aMaria Sady 1 aMagdalena Gajewska 1 aZdzisław Gajewski 00 aComputational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus uhttp://onlinelibrary.wiley.com/doi/10.1113/EP087451/full 0 v104 3 aIn pig production units, control of the estrous cycle and synchronization of ovulation have become routine herd management procedures. During the estrous cycle, under both induced and spontaneous conditions, the ovaries and the uterus undergo hormone-dominated physiological changes, these are consistent with the hypothesis that there is a functional role of uterine contractions in promoting fertilization. We have used electromyography to determine if the use of exogenous hormones, such as eCG and hCG, that have the potential to control the time of ovulation in female pigs, changes the multivariate relations between parameters of electrical bursts and modulates the patterns of myoelectrical activity. In the study presented here, we employed the mathematical approach of higher order multivariate cumulants in complex modeling of the myometrial electrical activity. The experiment was conducted on 12 mature Polish Landrace sows and uterine activity was recorded during both spontaneous and induced estrous cycles. The burst parameters were determined using six features, in the time domain and after the Fast Fourier transformation in the frequency domain. The evaluation of myoelectrical activity patterns was conducted based on the classical univariate statistical methods and the multivariate probabilistic modelling. The classical statistical approach indicated a weaker myoelectrical activity after hormonal stimulation, whereas the higher order multivariate statistical model showed evidence of similar status of activity and larger order of signals during induced estrus. Routine estrous cycle synchronization affects the multivariate probabilistic model of myometrial electrical activity.
The purpose of this chapter is to discuss methods of acquisition, visualization and analysis of the dynamics of a complex biomedical system, illustrated by the human stomatognathic system. The stomatognathic system consists of the teeth and the skull bones with the maxilla and the mandible. Its dynamics can be described by the change of mutual position of the lower/mandibular part versus the upper/maxillary one due to the physiological motion of opening, chewing and swallowing. In order to analyse the dynamics of the stomatognathic system its morphology and motion has to be digitized, which is done using static and dynamic multimodal imagery like CBCT and 3D scans data and temporal measurements of motion. The integration of multimodal data incorporates different direct and indirect methods of registration - aligning of all the data in the same coordinate system. The integrated sets of data form 4D multimodal data which can be further visualized, modeled, and subjected to multivariate time series analysis. Example results are shown. Although there is no direct method of imaging the TMJ motion, the integration of multimodal data forms an adequate tool. As medical imaging becomes ever more diverse and ever more accessible, organizing the imagery and measurements into unified, comprehensive records can deliver to the doctor the most information in the most accessible form, creating a new quality in data simulation, analysis and interpretation.aISBN 978-83-65603-96-8 02158nas a2200169 4500000000100000000000100001008004100002260005500043100001800098700002100116700002100137700001900158245011200177856003700289520163500326022002701961 2019 d bUTP University of Science & Technology a Bydgoszcz 1 aN. Kruszewska 1 aPiotr Bełdowski 1 aKrzysztof Domino 1 aKanika Lambert 00 aInvestigating conformation changes and network formation of mucin in joints functioning in human locomotion uhttps://arxiv.org/abs/1911.09383 3 a
Many different processes take place to facilitate lubrication of the joints functioning in human locomotion system. The main purpose of this is to avoid destroying the articular cartilage. Viscoelastic properties of the joints system are very sensitive on both temperature and concentration changes because of the change in conformation presented in the system proteins and protein network formation. We are searching for an answer to the question on how changes in temperature and concentration influence the conformational entropy of mucin protein which is a part of one of the key components, lubricin, which is believed to be responsible for gel formation inside synovial fluid. We are using molecular dynamic technique to obtain the information about dihedral (phi, psi) angles of the mucin during protein self - assembly by means of the computer simulation with a time duration up to 50 ns, parameterized by six temperatures ranged between 300 - 315 K, and six concentrations 10.68 - 267.1 g/L. The results show that between c3 and c4 (160 g/L and 214 g/L) a transition exists where crowding begins affecting the dynamics of protein network formation. In such a concentration ranges mucin has a chance to change the frictional properties of the system. Simultaneously there were no significant changes in conformations of the mucins molecules even after they created networks. The temperature changes also did not affect much of mucins conformations but it introduced slightly modifications in dihedral angles and after some critical value T=306 K it changed conformational entropy trend from decreasing to raising.
aISBN 978-83-65603-96-8 01760nas a2200181 4500000000100000000000100001008004100002260002800043100002100071700002100092700002200113700001800135245010400153300001100257490000700268520127600275020002701551 2021 d c11/2019 bSpringer, Cham 1 aPiotr Bełdowski 1 aKrzysztof Domino 1 aDamian Bełdowski 1 aRobert Dobosz 00 aAnalysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component a93-105 0 v17 3 aMolecular interactions within proteins are fundamental to maintain their conformation and role in biological systems. Understanding the nature and dynamics of the interactions is crucial as it can help understand phenomena occurring during physiological processes, drug design, and delivery, etc. This chapter presents the analysis of the dynamics of molecular interactions inside proteins on an example of albumin. We have performed computer simulations of albumin protein at its native/equilibrium state to understand the dynamics of bonding/interactions inside the protein and with water: hydrogen bonds and hydrophobic interactions. Furthermore, we extracted the data to look into interactions between particular amino acids (AA). As expected, charged AA, such as the glutamic acid (GLU) and lysine (LYS) one, form most intermolecular hydrogen bonds and bind most water.
Further, in hydrophobic contacts, the significant role plays phenylalanine (PHE) and leucine (LEU) amino-acids. We have also found that although its hydrophobic nature, the LEU forms the most stable contacts. This can be attributed to its position in the core of the protein. The presented results may help better understand the dynamics of a complex structure such as protein.
aISBN 978-3-030-67227-0 00555nas a2200169 4500000000100000000000100001008004100002260007300043100002300116700002100139700002400160700002000184245011100204856003700315300001100352020002200363 2019 d c2019 bWroclaw University of Science and Technology aWrocław, Poland 1 aPrzemysław Głomb 1 aKrzysztof Domino 1 aMichał Romaszewski 1 aMichał Cholewa 00 aBand selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images uhttps://arxiv.org/abs/1808.03513 ap. 121 a978-83-943803-2-8 02409nas a2200181 4500000000100000000000100001008004100002260001200043100002300055700001700078700002100095700002100116700001900137245007000156856009200226490000700318520190200325 2020 d c06/2020 1 aTomasz Błachowicz 1 aTobias Böhm 1 aJacek Grzybowski 1 aKrzysztof Domino 1 aAndrea Ehrmann 00 aAnalysis of AFM images of Nanofibre Mats for Automated Processing uhttp://www.tekstilec.si/wp-content/uploads/2020/06/10.14502Tekstilec2020.63.104-112.pdf 0 v63 3 aThe image processing of pictures from fi bres and fi brous materials facilitates the investigation of diverse ge-ometrical properties, such as yarn hairiness, fi bre bifurcations or fi bre lengths and diameters. Such irregular sample sets are naturally suitable to the statistical examination of images, using a random-walk algorithm. This results in the calculation of the so-called Hurst exponent, which is the asymptotic scaling exponent of the mean squared displacement of the walker’s position. Previous investigations have proven the appropri-ateness of this method for examinations of diff erent fi bres, yarns and textile fabrics. In a recent study, we used AFM (atomic force microscopy) images, split into diff erent greyscales, to analyse and quantify diff er-ences between various nanofi bre mats created from polyacrylonitrile. In addition to the strong infl uence of the nanofi bre diameters, a certain impact of the AFM settings was also seen and must be taken into account in future research.
01724nas a2200169 4500000000100000000000100001008004100002260001900043100001800062700002100080700001600101245004300117300001200160490000700172520134800179020002701527 2021 d bSpringer, Cham 1 aN. Kruszewska 1 aKrzysztof Domino 1 aPiotr Weber 00 aWater Behvaior Near the Lipid Bilayer a107-130 0 v17 3 a
In this chapter, we focus on the dynamics of water molecules situated in the vicinity of a phospholipid bilayer. Using a molecular dynamics simulation method, we studied interactions between water and the bilayer and tracked trajectories of the water molecules. Based on the hypothesis that molecules trapped inside the bilayer make different motions than the ones which are either attached to the surface or move freely in the water bulk, we divided the water molecules into three groups – the ones that exhibited subdiffusion (confined) motion, the ones that move diffusionally in the bulk and the ones that move superdiffusively due to interactions with the moving bilayer. In detail, the water behavior near the bilayer has been analyzed by mean squared displacement and entropy computed separately for the above mentioned three groups of molecules. To explain the subdiffusion motion of the water molecules, the number and the duration of hydrogen bonds created between water molecules and the bilayer have been investigated. In addition, we examined the mechanism of water molecule self-diffusion, by means of statistical tests. Our studies aim to present insight into the understanding of the lipid’s role in water self-diffusion, which can be responsible for triggering different tribological responses of the system.
aISBN 978-3-030-67227-0 00434nas a2200169 4500000000100000000000100001008004100002260001200043100002100055700002400076700002200100700002300122700002200145700002300167245006700190490000700257 2023 d c01/2023 1 aKrzysztof Domino 1 aMátyás Koniorczyk 1 aKrzysztof Krawiec 1 aKonrad Jałowiecki 1 aSebastian Deffner 1 aBartłomiej Gardas 00 aQuantum annealing in the NISQ era: railway conflict management 0 v25 02683nas a2200181 4500000000100000000000100001008004100002260001200043100001800055700002100073700002200094700002100116700001900137245010300156856004600259490001100305520218500316 2020 d c12/2020 1 aN. Kruszewska 1 aKrzysztof Domino 1 aRadosław Drelich 1 aWieslaw Urbaniak 1 aAneta Petelska 00 aInteractions between Beta-2-glycoprotein-1 and phospholipid bilayer – a molecular dynamic study uhttps://doi.org/10.3390/membranes10120396 0 v10(12) 3 aThe study aims to investigate the interactions appearing when the Beta-2-glycoprotein-1 binds to a lipid bilayer. The inter- and intramolecular forces acting between the two macromolecular systems have been investigated using a molecular dynamics simulation method. The importance of water bridges has also been addressed. Additionally, the viscoelastic response of the bilayer has been studied. In detail - the (saturated-chain) DPPC and (unsaturated-chain) POPE bilayers have been chosen to test their behavior near the protein. Both of the lipids have a polar head, but of different chemical structure, and are similar to the main phospholipids present in the synovial fluid. This study is meaningful for further explanation of the worsening friction properties in articular cartilage, as the inactivation of phospholipid bilayers by Beta-2-glycoprotein-1 is believed to be a cause of destruction of cartilage in most rheumatic diseases and osteoarthritis. It was found that the protein binds stronger to the DPPC bilayer than to the POPE, but in both cases, it has the potential to change the local bilayer stability. Nevertheless, the binding forces are placed within a small area (only few lipids contribute to the binding, creating many interactions) but they together are not stronger than the covalent bonds between C-O, thus potentially it is possible to pull the lipids from the bilayer but detaching the lipids’ heads from the tail is not possible. Additionally, the protein causes water displacement from the vicinity of the bilayer, and this may be a contributor to instability of the bilayer (disrupting the water bridges needed for the stabilization of the bilayer). Moreover, it was found that the diffusivity of lipids in the DPPC bilayer bound to the protein is significantly different from the diffusivity of the ones which are not in contact with the protein. The POPE bilayer is stiffer due to intramolecular interactions, which are stronger than in the DPPC, thus the ratio of the viscous to elastic effects in the case of the POPE is greater than in the case of the DPPC. It is therefore harder to destabilize the POPE bilayer than the DPPC one.
03125nas a2200181 4500000000100000000000100001008004100002100002300043700002100066700002200087700002100109700001700130700001900147245010600166856004900272490000700321520261500328 2021 d 1 aTomasz Błachowicz 1 aKrzysztof Domino 1 aMichal Koruszowic 1 aJacek Grzybowski 1 aTobias Böhm 1 aAndrea Ehrmann 00 aStatistical analysis of nanofiber mat AFM images by gray-scale-resolved Hurst exponent distributions uhttps://www.mdpi.com/2076-3417/11/5/2436/pdf 0 v11 3 aTwo-dimensional structures, either periodic or random, can be classified by diverse mathematical methods. Quantitative descriptions of such surfaces, however, are scarce since bijec-tive definitions must be found to measure unique dependency between described structures and the chosen quantitative parameters. To solve this problem, we use statistical analysis of periodic fibrous structures by Hurst exponent distributions. Although such a Hurst exponent approach was suggested some years ago, the quantitative analysis of atomic force microscopy (AFM) images of nanofiber mats in such a way was described only recently. In this paper, we discuss the influence of typical AFM image post-processing steps on the gray-scale-resolved Hurst exponent distribution. Examples of these steps are polynomial background subtraction, aligning rows, deleting horizontal errors and sharpening. Our results show that while characteristic features of these false-color images may be shifted in terms of gray-channel and Hurst exponent, they can still be used to identify AFM images and, in the next step, to quantitatively describe AFM images of nanofibrous surfaces. Such a gray-channel approach can be regarded as a simple way to include some infor-mation about the 3D structure of the image.
01612nas a2200157 4500000000100000000000100001008004100002260001200043100002100055700001600076700001800092700002200110245011100132490000700243520120400250 2022 d c09/2022 1 aKrzysztof Domino 1 aAkash Kundu 1 aÖzlem Salehi 1 aKrzysztof Krawiec 00 aQuadratic and Higher-Order Unconstrained Binary Optimization of Railway Rescheduling for Quantum Computing 0 v21 3 aAs consequences of disruptions in railway traffic affect passenger experience/satisfaction, appropriate dispatching decisions are necessary. The problem of optimal scheduling the order of trains is known to be NP-hard, given the numerous restrictions of traffic nature. With the recent advances in quantum technologies, quantum annealing has become an alternative method to solve optimization problems. To use quantum annealing, the problem needs to be encoded in QUBO (quadratic unconstrained binary optimization) or HOBO (higher-order binary optimization) formulation. This paper introduces QUBO and HOBO representations for dispatching problems of railway traffic management, the latter is a new approach up to our knowledge. This new approach takes into account not only the single-track lines, but also the double- and multi-track lines. We consider the conditions of minimal span between trains, minimal stay on stations, track occupation, and rolling stock circulation. Furthermore, a hybrid algorithm is presented that allows obtaining better solutions compared to the ordinary approach. We demonstrate the implementation on the D-Wave Quantum Processing Unit and its hybrid solver.
00389nas a2200145 4500000000100000000000100001008004100002260001200043100002100055700002400076700002200100245006700122856004700189490000700236 2022 d c08/2022 1 aKrzysztof Domino 1 aMátyás Koniorczyk 1 aZbigniew Puchała 00 aStatistical quality assessment of Ising-based annealer outputs uhttps://doi.org/10.1007/s11128-022-03623-5 0 v21 02583nas a2200193 4500000000100000000000100001008004100002260011900043100001600162700002100178700001800199700002100217700002100238700002200259245012600281856006700407520189300474020002202367 2024 d c03/2024 bSpringer, Cham, Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021) 1 aPiotr Weber 1 aPiotr Bełdowski 1 aAdam Gadomski 1 aKrzysztof Domino 1 aPiotr Sionkowski 1 aDamian Ledziński 00 aStatistical method for analysis of interactions between chosen protein and chondroitin sulfate in an aqueous environment uhttps://link.springer.com/chapter/10.1007/978-3-031-56496-3_45 3 aWe present the statistical method to study the interaction between a chosen protein and another molecule (e.g., both being components of lubricin found in synovial fluid) in a water environment. The research is performed on the example of univariate time series of chosen features of the dynamics of mucin, which interact with chondroitin sulfate (4 and 6) in four different saline solutions.
Our statistical approach is based on recurrence methods to analyze chosen features of molecular dynamics. Such recurrence methods are usually applied to reconstruct the evolution of a molecular system in its reduced phase space, where the most important variables in the process are taken into account. In detail, the analyzed time-series are spitted onto sub-series of records that are expected to carry meaningful information about the system of molecules. Elements of sub-series are splinted by the constant delay-time lag (that is the parameter determined by statistical testing in our case), and the length of sub-series is the embedded dimension parameter (using the Cao method). We use the recurrent plots approach combined with the Shannon entropy approach to analyze the robustness of the sub-series determination. We hypothesize that the robustness of the sub-series determines some specifics of the dynamics of the system of molecules. We analyze rather highly noised features to demonstrate that such features lead to recurrence plots that graphically look similar. From the recurrence plots, the Shannon entropy has been computed. We have, however, demonstrated that the Shannon entropy value is highly dependent on the delay time value for analyzed features. Hence, elaboration of a more precise method of the recurrence plot analysis is required. For this reason, we suggest the random walk method that can be applied to analyze the recurrence plots automatically.
Motivated by recent efforts to develop quantum computing for practical, industrial-scale challenges, we demonstrate the effectiveness of state-of-the-art hybrid (not necessarily quantum) solvers in addressing the business-centric optimization problem of scheduling Automatic Guided Vehicles (AGVs). Some solvers can already leverage noisy intermediate-scale quantum (NISQ) devices. In our study, we utilize D-Wave hybrid solvers that implement classical heuristics with potential assistance from a quantum processing unit. This hybrid methodology performs comparably to existing classical solvers. However, due to the proprietary nature of the software, the precise contribution of quantum computation remains unclear. Our analysis focuses on a practical, business-oriented scenario: scheduling AGVs within a factory constrained by limited space, simulating a realistic production setting. Our approach maps a realistic AGVs problem onto one reminiscent of railway scheduling and demonstrates that the AGVs problem is better suited to quantum computing than its railway counterpart, the latter being denser in terms of the average number of constraints per variable. The main idea here is to highlight the potential usefulness of a hybrid approach for handling AGVs scheduling problems of practical sizes. We show that a scenario involving up to 21 AGVs, significant due to possible deadlocks, can be efficiently addressed by a hybrid solver in seconds.
01469nas a2200181 4500000000100000000000100001008004100002260001200043100002400055700002200079700002000101700002300121700002100144245011400165856003700279490000700316520096400323 2025 d c05/2025 1 aMátyás Koniorczyk 1 aKrzysztof Krawiec 1 aLudmila Botelho 1 aNikola Bešinović 1 aKrzysztof Domino 00 aSolving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach uhttps://arxiv.org/abs/2309.06763 0 v34 3 aWe address the applicability of hybrid quantum-classical solvers for practical railway rescheduling management problems. We build an integer linear model for the given problem and solve it with D-Wave's quantum-classical hybrid solver as well as with CPLEX for comparison. The proposed approach is demonstrated on a real-life heterogeneous urban network in Poland, including both single- and double segments and covers all the requirements posed by the operator of the network. The computational results demonstrate the readiness for application and benefits of quantum-classical hybrid solvers in the a realistic railway scenario: they yield acceptable solutions on time, which is a critical requirement in a rescheduling situation. At the same time, the obtained solutions are feasible and in sometimes suboptimal. Moreover, though they are heuristics they offer a valid alternative and most importantly, outperform classical solvers in some cases.
00532nas a2200169 4500000000100000000000100001008004100002260001200043100002100055700002300076700002600099700001900125700002100144245014600165856004400311490000700355 2024 d c04/2024 1 aPiotr Sionkowski 1 aNatalia Kruszewska 1 aAgnieszka Kreitschitz 1 aStanislav Gorb 1 aKrzysztof Domino 00 aApplication of Recurrence Plot Analysis to Examine Dynamics of Biological Molecules on the Example of Aggregation of Seed Mucilage Components uhttps://www.mdpi.com/1099-4300/26/5/380 0 v26 01393nas a2200169 4500000000100000000000100001008004100002260001200043100002100055700002400076700002100100700002200121245007800143856003700221490000700258520095800265 2025 d c03/2025 1 aKatarzyna Gawlak 1 aJarosław Konieczny 1 aKrzysztof Domino 1 aJaroslaw Miszczak 00 aStatistical analysis of geoinformation data for increasing railway safety uhttps://arxiv.org/abs/2406.01083 0 v34 3 aThe impact of rail transport on the environment is one of the crucial factors for the sustainable development of this form of mass transport. We present a data-driven analysis of wild animal railway accidents in the region of southern Poland, a step to create the train driver warning system. We built our method by harnessing the Bayesian approach to the statistical analysis of information about the geolocation of the accidents. The implementation of the proposed a model does not require advanced knowledge of data mining and can be applied even in less developed railway systems with small IT support. Furthermore, we have discovered unusual patterns of accidents while considering the number of trains and their speed and time at particular geographical location of the railway network. We test the developed approach using data from southern Poland, compromising wildlife habitats and one of the most urbanised regions in Central Europe.
01395nas a2200169 4500000000100000000000100001008004100002260001200043100002100055700001700076700002000093700002300113700002200136245006000158490000700218520100000225 2025 d c08/2025 1 aKrzysztof Domino 1 aEmery Doucet 1 aReece Robertson 1 aBartłomiej Gardas 1 aSebastian Deffner 00 aOn the Baltimore Light RailLink into the quantum future 0 v15 3 aIn the current era of noisy intermediate-scale quantum (NISQ) technology, quantum devices present new avenues for addressing complex, real-world challenges including potentially NP-hard optimization problems. This work aims to showcase how the inherent noise in NISQ devices can be leveraged to solve such real-world problems effectively. Utilizing a D-Wave quantum annealer and IonQ's gate-based NISQ computers, we generate and analyze solutions for managing train traffic under stochastic disturbances. Our case study focuses on the Baltimore Light RailLink, which embodies the characteristics of both tramway and railway networks. We explore the feasibility of using NISQ technology to model the stochastic nature of disruptions in these transportation systems. Our research marks the inaugural application of both quantum computing paradigms to tramway and railway rescheduling, highlighting the potential of quantum noise as a beneficial resource in complex optimization scenarios.
02089nas a2200193 4500000000100000000000100001008004100002260011800043100002100161700001600182700001800198700002100216700002300237700002100260245010200281856006600383520142400449020002201873 2024 d c03/2024 bSpringer, Cham, Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021) 1 aPiotr Bełdowski 1 aPiotr Weber 1 aAdam Gadomski 1 aPiotr Sionkowski 1 aNatalia Kruszewska 1 aKrzysztof Domino 00 aStudies of the Interaction Dynamics in Albumin–Chondroitin Sulfate Systems by Recurrence Method uhttps://link.springer.com/chapter/10.1007/978-3-031-56496-3_5 3 aThe physicochemical basis of lubrication of articular cartilage is still not fully understood. However, the synergy between components of the synovial fluid can be a crucial factor that could explain this phenomenon. This work presents a nonlinear data analysis technique named the recurrence method, applied to the system involved two of such synovial fluid’s components: albumin and chondroitin sulfate (CS) immersed in a water environment. This analysis s performed in order to obtain the “statistical fingerprint” of the dynamics of the interaction between the molecules, and to answer whether the variables are more deterministic or more random. The system simulation has been prepared by molecular docking method followed by molecular dynamics simulations. The already mentioned recurrence method has been applied to time series of the energy of binding, and time series of number of intermolecular hydrogen bonds, as these features describe well binding between the two molecules. In detail, the time delay approach and embedded dimension approach have been applied to extract meaningful records from time series. Then, by means of recurrence plots and entropy approach, we discuss the similarities and differences between the molecular systems consisting of CS-4 and CS-6 molecules. Our main finding is higher affinity of chondroitin sulfate IV to albumin as compared with chondroitin sulfate VI.
a978-3-031-56495-6 00442nas a2200145 4500000000100000000000100001008004100002260001200043100002100055700002100076700002200097245012300119856004700242490000700289 2025 d c12/2024 1 aKrzysztof Domino 1 aArkadiusz Sochan 1 aJaroslaw Miszczak 00 aAnalytical assessment of workers' safety concerning direct and indirect ways of getting infected by dangerous pathogen uhttps://doi.org/10.1016/j.jocs.2024.102509 0 v85 00542nas a2200169 4500000000100000000000100001008004100002260010600043100002000149700001700169700002100186700002100207700002300228700002200251245004900273856005000322 2025 d c12/2025 bIEEE International Conference on Quantum Computing and Engineering (QCE25) aAlbuquerque, USA 1 aReece Robertson 1 aEmery Doucet 1 aZakaria Mzaouali 1 aKrzysztof Domino 1 aBartłomiej Gardas 1 aSebastian Deffner 00 aSimon's Period Finding on a Quantum Annealer uhttps://ieeexplore.ieee.org/document/11250344 00535nas a2200169 4500000000100000000000100001008004100002260001200043100002200055700002100077700002300098700002700121700002100148245013900169856005000308490000700358 2025 d c08/2025 1 aMonika Okoniewska 1 aPiotr Sionkowski 1 aNatalia Kruszewska 1 aKrzysztof Błażejczyk 1 aKrzysztof Domino 00 aA Scalable and Automated Recurrence Plot Method for Detecting Climate Change: The Case of the UTCI Bioclimatic Index in Central Europe uhttps://ieeexplore.ieee.org/document/11121937 0 v63 00402nas a2200145 4500000000100000000000100001008004100002100001800043700001900061700002400080700002100104700002400125700002100149245008600170 d 1 aEwa Kędziera 1 aWojciech Gamon 1 aMátyás Koniorczyk 1 aZakaria Mzaouali 1 aAndrea Galadíková 1 aKrzysztof Domino 00 aEMU circulation planning for Silesian Railways: case study and a quantum approach 00429nas a2200169 4500000000100000000000100001008004100002260001200043100001700055700002100072700002000093700002300113700002200136700002100158245006900179300001100248 2026 d c05/2026 1 aEmery Doucet 1 aZakaria Mzaouali 1 aReece Robertson 1 aBartłomiej Gardas 1 aSebastian Deffner 1 aKrzysztof Domino 00 aThermodynamic significance of QUBO encoding on quantum annealers a054512 00463nas a2200145 4500000000100000008004100001653002200042653002400064653001800088100002100106700001900127245011700146856004200263490001200305 2025 d 10 atransport szynowy 10 aobliczenia kwantowe 10 aoptymalizacja 1 aKrzysztof Domino 1 aWojciech Gamon 00 aOd Baltimore do Śląska: komputery kwantowe i hybrydowe metody optymalizacji w planowaniu transportu szynowego uhttps://tmir.sitk.org.pl/nr-8-2025-r/ 0 v08 2025 02325nas a2200133 4500000000100000008004100001100001800042700002100060700002200081700002600103245010300129856003600232520192300268 2026 d 1 aDariusz Pojda 1 aKrzysztof Domino 1 aMichał Tarnawski 1 aAgnieszka Anna Tomaka 00 aTransformation-driven generation of comparable projection images from multimodal anatomical scenes uhttp://arxiv.org/abs/2606.16573 3 aThis work addresses the computational problem of generating reproducible projection-space observations from heterogeneous anatomical scenes whose components may undergo independent spatial transformations. We propose a transformation-driven framework for synthetic projection imaging from multimodal anatomical data and demonstrate it on mandibular-motion scenarios. In contrast to conventional Digitally Reconstructed Radiograph (DRR) approaches primarily designed for registration, projection realism, or rendering efficiency, the proposed formulation treats projection imaging as an observation process operating on an explicitly represented anatomical scene. Independently transformable volumetric and surface-based anatomical objects are embedded within a shared scene representation and propagated directly into projection space through explicit transformations. Projection geometry, acquisition modelling, material interpretation, and image presentation remain explicitly separated, enabling controlled exploration of methodological assumptions while preserving reproducibility and direct comparability between generated projections. Particular emphasis is placed on transformation-driven anatomical scenarios relevant to craniofacial analysis, including mandibular motion and therapeutic repositioning. Using a shared anatomical reference scene composed of CT/CBCT volumes, segmented structures, surface models, and auxiliary anatomical or therapeutic objects, the framework enables generation of directly comparable VirtualRTG projections from multiple anatomical configurations while preserving identical imaging assumptions. Rather than aiming at fully physically faithful radiographic simulation, the proposed approach provides a controllable and reproducible methodological environment for studying anatomy--projection relationships, motion observability, and transformation-aware imaging workflows. 00415nas a2200181 4500000000100000000000100001000000100002008004100003100001600044700002500060700002100085700001800106700002100124245005600145300001100201490000700212022001400219 2002 d 1 aA. Augustyn 1 aPrzemysław Kowalski 1 aLeszek Luchowski 1 aDariusz Pojda 1 aKrzysztof Skabek 00 aSystem for toolmark analysis in forensic laboratory a3–16 0 v14 a0867-2121 00347nas a2200133 4500000000100000000000100001008004100002100001600043700002500059700002100084700001800105700002100123245006900144 2000 d 1 aA. Augustyn 1 aPrzemysław Kowalski 1 aLeszek Luchowski 1 aDariusz Pojda 1 aKrzysztof Skabek 00 aComputer-assisted analysis of striated toolmarks and impressions 00855nas a2200169 4500000000100000000000100001008004100002260013300043100002500176700001800201700002100219700002400240700002500264245005200289300001400341520033000355 2014 d bSilesian University of Technology, Gliwice, Institute of Theoretical and Applied Informatics, Polish Academy of Science, Gliwice 1 aPrzemysław Kowalski 1 aDariusz Pojda 1 aAleksandra Gruca 1 aTadeusz Czachórski 1 aStanisław Kozielski 00 aVisualization of heterogenic images of 3D scene a291–297 3 aThe article presents a problem of 3D and 2D heterogenic data visualization. The data come from different devices installed on the robot platform. The data include 3D point cloud, 2D images, 3D and 2D occupancy grids, obtained from laser scanning device, stereocameras and calculated using data from laser 3D scanner.
00407nas a2200169 4500000000100000000000100001008004100002260001500043100002100058700002500079700002600104700001900130700001800149700002100167245003500188300001400223 1999 d cX aKraków 1 aLeszek Luchowski 1 aPrzemysław Kowalski 1 aAgnieszka Anna Tomaka 1 aMaciej Philipp 1 aDariusz Pojda 1 aKrzysztof Skabek 00 aMobile Stereovision Strategies a531–536 00350nas a2200133 4500000000100000000000100001000000100002008004100003100001800044245011900062300001400181490000700195022001400202 2010 d 1 aDariusz Pojda 00 aCalculating the position of the observer in 3D using 2D images for the interactive presentation of virtual objects a177–186 0 v22 a1896-5334 00339nas a2200133 4500000000100000000000100001000000100002008004100003100001800044245011100062300001100173490000700184022001400191 2008 d 1 aDariusz Pojda 00 aSystem of computer aiding diagnostic of Squint with applying analysis of the signal of the move of the eye a3–14 0 v20 a1896-5334 00197nas a2200085 4500000000100000000000100001008004100002100001800043245005000061 2000 d 1 aDariusz Pojda 00 aZastosowanie systemu OBER2 w diagnostyce zeza 00743nas a2200109 4500000000100000000000100001008004100002100001800043245007700061300001200138520048300150 1999 d 1 aDariusz Pojda 00 aSegmentacja i pasowanie obrazów 2D dla potrzeb aktywnego stereowidzenia a81–84 3 aW referacie przedstawiono metodę segmentacji i pasowania par obrazów stereo. Metoda ta została opracowana w wyniku prac prowadzonych w ramach projektu badawczego dotyczącego automatycznego rozpoznawania struktury trójwymiarowej sceny. Scena zbudowana jest z brył wielościennych i obserwowznz za pomocą ruchomej głowicy stereowizyjnej. Głównym celem projektu było rozpoznawanie obserwowanych brył geometrycznych oraz określanie ich wzajemnego położenia na scenie. 01784nas a2200133 4500000000100000000000100001008004100002260007300043100001800116700002500134245015100159300001200310520132800322 2014 d c3 bInternational Centre of Biocybernetics Polish Academy of Sciences 1 aDariusz Pojda 1 aPrzemysław Kowalski 00 aAssumptions for a software tool to support the diagnosis of the stomatognathic system: data gathering, visualizing compund models and their motion a51–56 3 aThe amount of measurement data collected in medical diagnostics makes their storage and handling an important issue. Also, the requirements for the visualization of such data, and for merging information from different sources of measurement, are growing. In the case of diagnosis of stomatognathic system we have to deal with various methods of medical imaging, such as CT, 3D scans, impressions of teeth, facial scans, and various types of reconstructions resulting from processing of measurement data. In the research project dedicated to the diagnosis of bruxism, we encounter records of measurements of Holter monitoring. We present a web application designed to collect the measurement data acquired in the project. In the first version, this tool has been prepared to store EKG files. We are planning further extension of the capabilities of the database to collect 3D scans, volumetric data and surfaces which are reconstructed from computed tomography. We also present assumptions for the user interface to the desktop application to assist the diagnosis. The application will allow to carry out morphometric measurements, the integration of multimodal imaging data, visualization of mandible movement in TMJ, occlusion detection and motion simulation of the mandible, and also the design of dental guard.
00330nas a2200145 4500000000100000000000100001000000100002008004100003100001800044700002500062245005900087300001200146490000700158022001900165 1999 d 1 aDariusz Pojda 1 aPrzemysław Kowalski 00 aProgramowe platformy dla zagadnień wizji komputerowej a57–81 0 v37 aISSN 0208-7286 00745nas a2200157 4500000000100000000000100001000000100002008004100003100001800044700002500062245006700087300001400154490000700168520039300175022001900568 1998 d 1 aDariusz Pojda 1 aPrzemysław Kowalski 00 aKryteria pasowania punktów charaktery-stycznych w stereowizji a209–223 0 v35 3 aIstotnym problemem, występującym w zagadnieniu stereowidzenia, z wykorzystaniem obrazu z dwu kamer, jest pasowanie punktów charakterystycznych. W artykule przedstawiamy zestaw pięciu testów, służących do pasowania punktów. Jest to test jasnościowy, dokonujący właściwego pasowania, oraz cztery testy geometryczne, dokonujące weryfikacji poprawności spasowania par punktów. aISSN 0208-7286 00280nas a2200121 4500000000100000000000100001008004100002260000600043100001800049700001600067245006100083300001400144 2006 d c9 1 aDariusz Pojda 1 aJózef Ober 00 aModel of the oculomotoric system for diagnosis of Squint a193–198 00236nas a2200097 4500000000100000000000100001008004100002100001800043700001600061245006100077 2004 d 1 aDariusz Pojda 1 aJózef Ober 00 aModel of the oculomotoric system for diagnosis of Squint 00263nas a2200097 4500000000100000000000100001008004100002100001800043700001600061245008800077 2003 d 1 aDariusz Pojda 1 aJózef Ober 00 aMultilayer model of the oculomothoric system for computer based diagnosis of squint 01093nas a2200157 4500000000100000000000100001000000100002008004100003100002100044700001800065245006900083300001400152490000700166520074800173022001400921 2011 d 1 aKrzysztof Skabek 1 aDariusz Pojda 00 aOptimization of Mesh Representation for Progressive Transmission a263–275 0 v23 3 aAbstract: The paper presents the implementation of methods for progressive mesh encoding. The described implementation is a modification of the software published in 2008 by Zhao He, which is based on studies by Michael Garland and Hugues Hoppe. We focused on improving the performance of the software. In particular we modified the data structures to ensure their better indexing, which significantly improved the computational complexity of the algorithm. We also implemented the support for simplified meshes with textures. The authors present the comparison of the performance of these methods in relation to the original He Zhao’s algorithm. The performance of progressive mesh encoding in our implementation was significantly improved. a1896-5334 01005nas a2200145 4500000000100000000000100001008004100002260005000043100002100093700001800114700002300132245006700155300001400222520062300236 2016 d bSpringer International Publishing Switzerland 1 aKrzysztof Skabek 1 aDariusz Pojda 1 aRyszard Winiarczyk 00 aProgressive reduction of meshes with arbitrary selected points a525–533 3 aThe usage of progressive meshes for representation and transmission of triangular meshes of faces at certain level of details was described in the paper. We focused on progressive representation based on Garland and Hoppe approach. The comparison of simple methods using quadric mesh simplification to the view-dependent implementation of progressive methods was performed. The mesh simplification is further improved by introducing the characteristic points fixing the distinguishable points on human face. The test and discussion of the implemented method were given using face scans from 3dMD face scanner.
00580nas a2200205 4500000000100000000000100001008004100002260004400043100002600087700002200113700001800135700001600153700001700169700001500186700002300201245006300224856005100287300001400338020002200352 2016 d bSpringer International Publishing aCham 1 aAgnieszka Anna Tomaka 1 aMichał Tarnawski 1 aDariusz Pojda 1 aEwa Piętka 1 aPawel Badura 1 aJacek Kawa 1 aWojciech Wieclawek 00 aMultimodal Image Registration for Mandible Motion Tracking uhttp://dx.doi.org/10.1007/978-3-319-39796-2_15 a179–191 a978-3-319-39796-2 00444nas a2200157 4500000000100000000000100001008004100002260005300043100001800096700002600114700002100140700002100161700002200182245006800204490001400272 2019 d c05/2019 bSpringer International Publishing aCham 1 aDariusz Pojda 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aKrzysztof Skabek 1 aMichał Tarnawski 00 aApplying computational geometry to designing an occlusal splint 0 vvol 10986 00830nas a2200157 4500000000100000000000100001008004100002260004400043100002600087700001800113700002100131700002200152245004000174520043600214020002200650 2018 d bSpringer International Publishing aCham 1 aAgnieszka Anna Tomaka 1 aDariusz Pojda 1 aLeszek Luchowski 1 aMichał Tarnawski 00 aMethods of Tooth Equator Estimation 3 aFull automation of the designing process of an occlusal splint requires an algorithm to determine the boundary of the splint. For this purpose, the idea of tooth equator is frequently used. The task is to find the approximate level where the teeth are widest, and then cut off the shape of the splint there. The article presents methods for automatic estimation of the tooth equator, used to determine the splint boundary.
a978-3-030-00840-6 01010nas a2200169 4500000000100000000000100001008004100002260004400043100002600087700002100113700001800134700002200152245006500174490001300239520056600252020002200818 2019 d bSpringer International Publishing aCham 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aDariusz Pojda 1 aMichał Tarnawski 00 aDynamic Occlusion Surface Estimation from 4D Multimodal Data 0 vvol 1011 3 aMethods are described of determining the dynamic occlusion surface based on dynamic sequences of mandibular motion, acquired with a dynamic scanner, and measurements acquired with the Zebris axiograph. The Zebris data is brought into register with multimodal imagery, using three corresponding transformations. This registration allows dense motion sequences to be simulated, which in turn allows occlusal conditions to be known at various stages of movement and the dynamic occlusal surface to be identified for the purposes of occlusal splint design.
a978-3-030-23761-5 00459nas a2200157 4500000000100000000000100001008004100002260001200043100002600055700002100081700001800102700002100120700002200141245006800163856007000231 2019 d c10/2019 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aDariusz Pojda 1 aKrzysztof Skabek 1 aMichał Tarnawski 00 aApplying computational geometry to designing an occlusal splint uhttps://www.tandfonline.com/doi/abs/10.1080/21681163.2019.1670096 00436nas a2200169 4500000000100000000000100001008004100002260001300043100002100056700002600077700001800103700002200121700002100143700002500164245005500189022002200244 2020 d bAOW EXIT 1 aLeszek Luchowski 1 aAgnieszka Anna Tomaka 1 aDariusz Pojda 1 aMichał Tarnawski 1 aKrzysztof Skabek 1 aPrzemysław Kowalski 00 aSkanery3D - trójwymiarowe obrazowanie powierzchni a978-83-7837-097-0 00483nas a2200157 4500000000100000000000100001008004100002260001300043100002600056700002200082700002100104700002100125700001800146245013900164022002200303 2020 d bAOW EXIT 1 aAgnieszka Anna Tomaka 1 aMichał Tarnawski 1 aLeszek Luchowski 1 aBartosz Cerkaski 1 aDariusz Pojda 00 aIntegracja obrazowania wielomodalnego w zastosowaniu do wspomagania diagnostyki stomatologicznej, planowania i oceny wyników leczenia a978-83-7837-097-0 00478nas a2200181 4500000000100000000000100001008004100002260001200043100002100055700002600076700001800102700002100120700002500141245006400166856004500230490000700275022001400282 2021 d c02/2021 1 aLeszek Luchowski 1 aAgnieszka Anna Tomaka 1 aDariusz Pojda 1 aKrzysztof Skabek 1 aPrzemysław Kowalski 00 aMultimodal imagery in forensic incident scene documentation uhttps://www.mdpi.com/1424-8220/21/4/1407 0 v21 a1424-8220 01786nas a2200181 4500000000100000000000100001008004100002260001200043100001800055700002600073700002100099700002200120245011400142856004600256490000700302520128100309022001401590 2021 d c12/2021 1 aDariusz Pojda 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aMichał Tarnawski 00 aIntegration and application of multimodal measurement techniques: relevance of photogrammetry to orthodontics uhttps://www.mdpi.com/1424-8220/21/23/8026 0 v21 3 aMultimodal imaging, including 3D modalities, is increasingly being applied in orthodontics, both as a diagnostic tool and especially for the design of intraoral appliances, where geometric accuracy is very important. Laser scanners and other precision 3D imaging devices are expensive and cumbersome, which limits their use in medical practice. Photogrammetry, using ordinary 2D photographs or video recordings to create 3D imagery, offers a cheaper and more convenient alternative, replacing the specialised equipment with handy consumer cameras. The present paper addresses the question to what extent, and under what conditions, this technique can be an adequate replacement for the 3D scanner. The accuracy of simple surface reconstruction and of model embedding achieved with photogrammetry was verified against that obtained with a triangulating laser scanner.
To roughly evaluate the impact of image imperfections on photogrammetric reconstruction, the photographs for photogrammetry were taken under various lighting conditions and used either raw or with a blur simulating defocus. Video footage was also tested as another 2D imaging modality feeding data into photogrammetry. Results show significant potential of photogrammetric techniques.
a1424-8220 00403nas a2200157 4500000000100000000000100001008004100002260001200043100001800055700002000073700002600093700002100119245004800140856005000188490000700238 2025 d c02/2025 1 aDariusz Pojda 1 aMateusz Żarski 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 adpVision: environment for multimodal images uhttp://dx.doi.org/10.1016/j.softx.2025.102093 0 v30 00463nas a2200169 4500000000100000000000100001008004100002260001200043100002600055700001800081700002200099700002100121245007600142856005300218490000800271022001400279 2025 d c05/2025 1 aAgnieszka Anna Tomaka 1 aDariusz Pojda 1 aMichał Tarnawski 1 aLeszek Luchowski 00 aTransformation trees – documentation of multimodal image registration uhttps://doi.org/10.1016/j.compbiomed.2025.110311 0 v193 a0010-4825 00358nas a2200133 4500000000100000000000100001008004100002260001200043100002100055700001800076245007700094856004600171490000700217 2025 d c06/2025 1 aLeszek Luchowski 1 aDariusz Pojda 00 aVisualization of a multidimensional point cloud as a 3D swarm of avatars uhttps://www.mdpi.com/2076-3417/15/13/7209 0 v15 01949nas a2200181 4500000000100000000000100001008004100002260001200043100002600055700002100081700002200102700001800124245009600142856004700238490000900285520145900294022001401753 2025 d c10/2025 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aMichał Tarnawski 1 aDariusz Pojda 00 aComputer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data uhttps://doi.org/10.1016/j.cviu.2025.104527 0 v262C 3 aDigital technology plays a crucial role in designing customized medical devices, such as occlusal splints, commonly used in the management of disorders of the stomatognathic system. This methodological proof-of-concept study presents a computer-aided approach for designing and evaluating occlusal positioning splints. The primary aim is to demonstrate the feasibility and geometric accuracy of the proposed method at the preclinical stage. In this approach, a three-dimensional splint is generated using a transformation matrix to represent the therapeutic mandibular position. An experienced operator defines this position using a virtual patient model reconstructed from intraoral scans, CBCT, 3D facial scans, and a digitized plaster model. We introduce a novel method for generating splints that reproduces occlusal conditions in the therapeutic position and resolves surface conflicts through virtual embossing. The process for obtaining transformation matrices using dental tools and intraoral devices commonly employed in dental and laboratory workflows is described, and the geometric accuracy of both designed and printed splints is evaluated using profile and surface deviation analysis. The method supports reproducible, patient-specific splint fabrication and provides a transparent foundation for future validation studies, supporting multimodal image registration and quantification of occlusal discrepancies in research settings.
a1077-3142 01663nas a2200181 4500000000100000000000100001008004100002260007700043100001900120700001700139700001800156700002000174700001800194700002000212245007100232856005600303520112200359 2025 d c09.2025 bWrocław University of Science and Technology aWrocław, Poland 1 aWojciech Macek 1 aMariusz Deja 1 aDariusz Pojda 1 aMateusz Korpyś 1 aCho-Pei Jiang 1 aGrzegorz Lesiuk 00 aQuantitative Techniques for Assessing Fatigue Damage After Failure uhttps://iras2025.pwr.edu.pl/publication/macek-2025/ 3 aA significant quantity of the fatigue life studies and a considerable number of fracture investigations have been carried out to measure changes associated with the damage process. However, there are cur-rently no set rules for the fractographical assessment of fatigue damage, and efforts are being made to find suitable techniques or alter current ones. Consequently, this study looks at two efficient post-failure techniques for identifying and quantifying damage. Fracture surface topography analysis, or FRASTA, has been used to solve a variety of failure problems. This quantified fractographic approach was first used in the early 1980s and has since been improved upon in tandem with developments in computing and measurement methods. To understand the behavior of a material under stress, especially in fatigue scenarios, the second methodology is known as the "entire fracture surface method" in mate-rial science. This method involves analyzing the entire surface of a fracture, or the broken surface pa-rameters. This approach aids in forecasting fatigue life and comprehending fatigue phenomena.
00906nas a2200133 4500000000100000000000100001008004100002100001900043700002000062700001800082245007000100856004800170520055400218 2026 d 1 aWojciech Macek 1 aMateusz Korpyś 1 aDariusz Pojda 00 aFRASTA-toolbox: An Open Source Tool for Fracture-surface Analysis uhttps://doi.org/10.1016/j.softx.2026.102788 3 aFRASTA-toolbox is an open-source application for importing, preprocessing, and analyzing three-dimensional fracture-surface scan data. It provides an implementation of the FRASTA workflow, including grid interpolation, masking, alignment, cross-sectional profile analysis, and interactive two- and three-dimensional visualization based on PyQt5 and pyqtgraph. The software supports reproducible fracture-surface analysis and is applicable to research workflows in materials science, tribology, biomedical engineering, and digital forensics.
00432nas a2200145 4500000000100000008004100001100001900042700001800061700002400079700001900103700001700122700001800139245007100157856005800228 2026 d 1 aWojciech Macek 1 aDariusz Pojda 1 aPrzemysław Podulka 1 aAntonio Mourao 1 aJose Correia 1 aShun-Peng Zhu 00 aQualitative and quantitative fractography of structural steel S235 uhttps://onlinelibrary.wiley.com/doi/10.1111/ffe.70488 00933nas a2200157 4500000000100000000000100001008004100002100001400043700002600057700001500083700001500098700001500113245008300128300001400211520055000225 2006 d 1 aA. Sornek 1 aAgnieszka Anna Tomaka 1 aE. Piętka 1 aJ. Łęski 1 aS. Franiel 00 aComputer system for the analysis of facial features based on 3d surface scans. a377–382 3 aDevelopment of 3D scanning techniques provides new possibilities in supporting orthodontics diagnosis. The article describes the implementation and functions of the computer system for facial feature analysis based on 3D surface scans of patient head. The system contains functions derived form traditional facial feature analysis like landmarks acquisition, measurements of distances, inclinations and proportions of the face. Beyond, it enables the analysis of multiple scans, using the registration based on user determined coordinate system. 00297nas a2200133 4500000000100000000000100001000000100002008004100003100001500044700002100059700002600080245005100106490000600157 1999 d 1 aK. Stąpor 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aModel-based 3D-Shape Recovery by Aspect Graphs 0 v8 01139nas a2200181 4500000000100000000000100001008004100002260000700043100001800050700002600068700002300094700001500117700001500132700001500147245006600162300001400228520071500242 2006 d c09 1 aK. Wieckowska 1 aAgnieszka Anna Tomaka 1 aRyszard Winiarczyk 1 aE. Piętka 1 aJ. Łęski 1 aS. Franiel 00 aSystem for facial tissue reconstruction based on dowel method a383–387 3 aThe paper presents the ideas of a system of soft tissue reconstruction which uses the method of dowels. The list of functionalities which should be included into such a system is described. The system enables the user to edit the thickness of dowels and their directions, which results in building an editable model of the surface of the skin. The set of dowels called the “Rhine configuration” [1,2] is used by default , but there is a possibility to make new statistics for the population being analysed. Further processing is required and the paper shows the ideas of an algorithm of surface splitting taking into consideration the curvature of the skull or, for example, the use of morphing techniques. 01092nas a2200121 4500000000100000000000100001008004100002100002100043700002600064700002300090245010600113520075100219 2006 d 1 aSzymon Kadłubek 1 aAgnieszka Anna Tomaka 1 aRyszard Winiarczyk 00 aComputer System for the Registration and Fusion of Multimodal Images for the Purposes of Orthodontics 3 aThe paper presents aspects connected with development of a computer system for registration and fusion of multimodal images for orthodontic purposes. The idea of the system, of the multimodal image registration, lies in 3D surfaces registering, reconstructed from the sets of MRI or CT planar slices. The system enables the user to perform registration using different approaches based on localised landmarks, based on selected regions of 3D surfaces or based on automatic matching of the whole surfaces. The rigid-body transformation found during the registration is then used to transform the set of slices to generate images that can be fused. The usage of the system was illustrated and the accuracy of the registration was assessed.
00378nas a2200157 4500000000100000000000100001000000100002008004100003100002500044700002600069700003100095245005900126300001400185490000700199022001400206 2005 d 1 aPrzemysław Kowalski 1 aAgnieszka Anna Tomaka 1 aB. Liśniewska-Machorowska 00 aLandmarks Identification Using Active Appearance Model a235–249 0 v17 a0867-2121 00862nas a2200121 4500000000100000000000100001008004100002100002100043700001900064700002600083245007400109520055700183 1997 d 1 aM. Wrześniowski 1 aMaciej Philipp 1 aAgnieszka Anna Tomaka 00 aDetekcja i estymacja parametrów ruchu z wykorzystaniem klasteryzacji 3 aOpracowanie przedstawia metodę detekcji i estymacji parametrów ruchu wykorzystującą algorytm klasteryzacji oraz podaje modyfikację procesu pasowania klasterów. Zaletą metody jest względnie mała wrażliwość na zniekształcenia sceny w ruchomych obrazach. Skuteczność metody została przedstawiona na podstawie analizy sekwencji obrazów o różnym stopniu złożoności. Wyniki przeprowadzonych badań zamieszczono w tabelach. Aby uwydatnić cel modyfikowania algorytmu, porównano wyniki detekcji ruchu na tych samych sekwencjach obrazów. 00696nas a2200109 4500000000100000000000100001008004100002100001900043700002600062245006100088520043700149 1998 d 1 aMaciej Philipp 1 aAgnieszka Anna Tomaka 00 aDisplacement and rotation estimation by cluster matching 3 aThe article presents a modified approach to cluster based matching. Each cluster from one image is matched with the one taken from the other image. The clusters are described by feature vectors which are used to guide matching process based on optimization. As a result of matching a motion estimation in the image scene is obtained. The proposed modification of the feature vector consists in the introduction of shape descriptors. 00327nas a2200133 4500000000100000000000100001008004100002100002100043700002600064700002000090245004400110300001400154020002500168 2007 d 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 1 aM. Kurzydlowski 00 aAutomatic Mering of 3D atribute meshes. a645–652 aISBN-13: 978-3-540-7 01119nas a2200133 4500000000100000000000100001008004100002260008600043100002100129700002600150245012100176300001200297520067600309 2014 d bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aTechniques of processing and segmentation of 3d geometric models for detection of the occlusal area of dental arches a57–62 3 aIn the paper techniques for processing and segmentation of surface models in the form of triangular meshes were described. We focused on the analysis of models of dental arches. The methods of matching the surface models were used and search techniques for homographic geometric structures and automation of the process for determination of the occlusion area were applied. The difficulties in the automatic determination of the area of occlusion were pointed out and the method was compared to the traditional techniques using wax bite that reproduce natural occlusion setting. Another application of the developed techniques is the simulator of the jaw motion.
00393nas a2200145 4500000000100000000000100001000000100002008004100003100002100044700002600065245012100091300001400212490000700226022001400233 2014 d 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aComparison of photgrammetric techniques for surface reconstruction from images to reconstruction from laser scanning a161–178 0 v26 a1896-5334 00348nas a2200145 4500000000100000000000100001000000100002008004100003100002100044700002600065245007600091300001400167490000700181022001400188 2010 d 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aApplications of Computer Vision in Medicine and Protection of Monuments a203–223 0 v22 a1896-5334 00932nas a2200133 4500000000100000000000100001000000100002008004100003100002100044700002600065245012000091490000700211520058000218 2000 d 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aSymulator widoków wielościanów uzyskiwanych za pomocą głowicy stereowizualnej – implementacja i zastosowania 0 v12 3 aW artykule opisano symulator widoków wielościanów z głowicą stereowizualną przy założeniu idealnych warunków obserwacyjnych. Symulator widoków wielościanów jest narzędziem umożliwiającym generowanie stereoskopowych widoków dla zdefiniowanej sceny przestrzennej z dowolnego punktu obserwacji umiejscowionego w otoczeniu sceny będącej zbiorem wielościanów. Zaproponowano wektorowy algorytm znajdowania przesłonięć. Opisano sposób użycia oraz przykładowe wyniki działania symulatora. Wskazano także na zastosowania narzędzia w widzeniu komputerowym. 00624nas a2200109 4500000000100000000000100001008004100002100002100043700002600064245005800090520036600148 1999 d 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aSoftware Tool for Microscope Image Comparison (SOMIC) 3 aThe article presents some aspects of designing and implementation of a software tool for microscope image comparison. The assumptions for the program were derived from observation of the work of the forensic expert. Some details of implementation and the basic idea of usage are described. Examples of possible applications in forensic analysis are illustrated. 00873nas a2200133 4500000000100000000000100001008004100002260008600043100002200129700002600151245005500177300001200232520049500244 2014 d bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland 1 aMichał Tarnawski 1 aAgnieszka Anna Tomaka 00 aAcquisition of mandible movement with a 3D scanner a63–67 3 aJaw motion analysis is the essential part of temporomandibular disorders diagnosis. The authors describe the background for the evolution of the devices, which leads to functional multimodal image acquisition. Scans of face, dentition, put together with CT reconstruction, are registered in certain mandible positions by means of optical face scanner, using the transfer: kinematic facial arch as a conjunction of the images. The sets of registrations leads to 3Dmovement analysis.
01124nas a2200133 4500000000100000000000100001008004100002260014700043100002600190700001500216245008300231300001700314520065900331 1998 d c10 bZakład elektroniki i Systemów Komputerowych, Instytut Informatyki, Uniwersytet Śląski, Sosnowiec a41-200 Sosnowiec, ul. Będzińska 60 1 aAgnieszka Anna Tomaka 1 aJan Piecha 00 aWybrane aspekty implementacji analizy wzrostu twarzo-czaszki metodą tensorów aBP–21–31 3 aW referacie omówione zostaną zagadnienia powstałe w trakcie projektowania i implementacji komputerowego systemu analizy wzrostu metodą tensorów na podstawie teleradiogramów. Będą to więc aspekty związane z akwizycją danych: obrazów i punktów charakterystycznych, związane z pasowaniem obrazów i doborem układu współrzędnych. Przedstawiony zostanie analityczny algorytm wyznaczania współczynników wzrostu, dokładniejszy w stosunku do algorytmu graficznego. Następnie omówione zostaną zagadnienia prezentacji i archiwizacji danych. Przedstawione zostaną również zagadnienia ograniczeń metody i propozycje dalszego jej rozwoju. 00371nam a2200109 4500000000100000000000100001008004100002260008100043100002600124245008900150020002200239 2013 d bInstytut Informatyki Teoretycznej i Stosowanej PAN aGliwice, ul. Bałtycka 5 1 aAgnieszka Anna Tomaka 00 aAnaliza obrazów wielomodalnych dla potrzeb nieinwazyjnej diagnostyki ortodontycznej a978-83-62652-46-4 00269nas a2200109 4500000000100000000000100001000000100002008004100003260000700044100002600051245008200077 2002 d c05 1 aAgnieszka Anna Tomaka 00 aDetekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych 00279nas a2200097 4500000000100000000000100001008004100002260003000043100002600073245008200099 2001 d c12 bPolitechnika Śląska 1 aAgnieszka Anna Tomaka 00 aDetekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych 00298nas a2200109 4500000000100000000000100001008004100002100002600043245009300069300001200162022001400174 2015 d 1 aAgnieszka Anna Tomaka 00 aMultimodal Image Data Integration and Analysis for the Purposes of Orthodontic Diagnosis a59–61 a1640-3754 01863nas a2200109 4500000000100000000000100001008004100002100002600043700002400069245005800093520160200151 2009 d 1 aAgnieszka Anna Tomaka 1 aA. Pisulska-Otremba 00 aComputer Vision Support for the Orthodontic Diagnosis 3 aThe following paper presents the achievement reached by our joined teams: Computer Vision System Group (ZKSW) in the Institute of Theoretical and Applied Computer Sciences, Polish Academy of Sciences and Department of Orthodontics, Silesian Medical University. The cooperation began from the inspiration of late prof. A. Mrózek. Computer Vision in supporting orthodontic diagnosis means all the problems connected with proper acquisition, calibration and analysis of the diagnostic images of orthodontic patients. The aim of traditional cephalometric analysis is the quantitative confirmation of skeletal and/or soft tissue abnormalities on single images, assessment of the treatment plan, long term follow up of growth and treatment results. Beginning with the computerization of the methods used in traditional manual diagnosis in the simplest X-ray films of the patient’s head we have developed our research towards engaging different methods of morphometrics, deformation analysis and using different imaging modalities: pairs of cephalograms (lateral an frontal), CT-scans, laser scans of dental models, laser scans of soft tissues, finally merging all the image information into patient’s specific geometric and deformable model of the head. The model can be further exploited in the supporting of the surgical correction of jaw discrepancies. Our laboratory equipment allows us to design virtual operations, educational programs in a virtual reality with a CyberGlove device, and finally to verify the plan of intervention on stereolithographic solid models received from a 3D printer. 00363nas a2200145 4500000000100000000000100001008004100002260000700043100002600050700003100076245007600107300001400183490000600197022001400203 2005 d c10 1 aAgnieszka Anna Tomaka 1 aB. Liśniewska-Machorowska 00 aThe application of 3D surfaces scanning in the facial features analysis a233–240 0 v9 a1642-6037 00688nas a2200109 4500000000100000000000100001008004100002100002600043700001800069245005100087520044000138 1997 d 1 aAgnieszka Anna Tomaka 1 aJ. Ihnatowicz 00 aModel procesu tworzenia obrazu rentgenowskiego 3 aOpracowano uproszczony model procesu tworzenia obrazów rentgenowskich dla celów implementacji w formie programu komputerowego. Stworzono modele poszczególnych części toru obrazowania: lampy rentgenowskiej, filtru, obiektu oraz detektora. Współczynniki masowego pochłaniania promieniowania rentgenowskiego zebrano na podstawie danych literaturowych, dla danych niedostępnych dokonano estymacji na podstawie składu chemicznego. 00327nas a2200145 4500000000100000000000100001008004100002260000700043100002600050700002500076245004600101300001400147490000600161022001400167 2005 d c10 1 aAgnieszka Anna Tomaka 1 aPrzemysław Kowalski 00 aUsing active models for finding landmarks a225–232 0 v9 a1642-6037 00647nas a2200169 4500000000100000000000100001000000100002008004100003260000700044100002600051700002100077245006600098300001400164490000700178520027800185022001400463 2010 d c09 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 aPurpose of cephalometric computations in craniofacial surgery a403–407 0 v58 3 aThe main goal of this article is to present ways of creating a parametric, dynamic model of the physical frame of the human head in order to cope with the badly disfigured patient's appearance, affecting various functions (e.g. breathing, speaking, chewing and swallowing). a0239-7528 00313nas a2200109 4500000000100000000000100001000000100002008004100003100002600044700002100070245011200091 2003 d 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 aComputer-aided longitudinal description of deformation and its application to craniofacial growth in humans 00322nas a2200109 4500000000100000000000100001008004100002260005600043100002600099700002100125245006600146 2003 d bUczelniane Wydawnictwa Naukowo-Dydaktyczne aKraków 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 aStereovision Techniques for the Three-Dimensional Cephalogram 00692nas a2200157 4500000000100000000000100001008004100002260003200043100002600075700002100101700002100122700001300143245003800156300001400194520032600208 2009 d bSpringer aBerlin Heidelberg 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aKrzysztof Skabek 1 aK. Cyran 00 aFrom museum exhibits to 3D models a477–486 3 aThe article presents the use of 3D scanners and printers for the digitization of 3D objects of cultural heritage. The work describes the full processing chain from the scanning of an exhibit to the creation of a tangible copy using a 3D printer. Problems caused by imperfect data sets are discussed and solutions proposed 00721nas a2200181 4500000000100000000000100001008004100002260000700043100002600050700002100076700002100097700002200118245005800140300001400198490000600212520030700218022001400525 2005 d c10 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 1 aKrzysztof Skabek 1 aMichał Tarnawski 00 a3D head surface scanning techniques for orthodontics. a123–130 0 v9 3 aThe accuracy of the Minolta 9i 3D laser scanner is evaluated and conditions are defined for its usability in orthodontics. Experiments are described which helped determine optimal scanning conditions such as beam power, patient positioning, the number of scans per examination, and viewpoint selection. a1642-6037 02267nas a2200133 4500000000100000000000100001008004100002260000700043100002600050700001700076245009500093300001400188520193100202 1999 d c10 1 aAgnieszka Anna Tomaka 1 aAdam Mrózek 00 aKomputerowe metody oceny deformacji twarzo-czaszki na podstawie sekwencji teleradiogramów a109–114 3 aOcena postępów choroby i efektów leczenia ortodontycznego dzieci z wrodzonymi wadami w obrębie twarzo-czaszki wymaga analizy zdjęć rentgenowskich głowy (cefalogramów – teleradiogramów). Jej celem jest wyodrębnienie obszarów twarzo-czaszki w których istnieją określone tendencje rozwojowe i opisanie tych tendencji. Wszystkie zmiany w tych zachodzące w tych obszarach zarówno na skutek normalnego wzrostu, istniejących patologii czy zabiegu chirurgicznego, bądź też wynikające z porównania obszarów wzajemnie symetrycznych określane są ogólnie jako deformacja. Metody stosowane w analizie deformacji powinny cechować się łatwą do odczytania przez lekarzy semantyką. Z tego względu analiza jest przeprowadzana na podstawie tzw. punktów charakterystycznych, wskazywanych przez lekarza na teleradiogramach, wykonanych w różnych chwilach czasu. W referacie przedstawiono metody opisu deformacji na płaszczyźnie teleradiogramów wychodząc od tradycyjnie stosowanych w Polsce metod, aż po metodę tensorów Booksteina i metody zaczerpnięte ze współczesnej mechaniki. Pokazano dlaczego wyniki analiz płaszczyznowych, przeprowadzonych na podstawie cefalogramów, wydają się być niewystarczające i jakie warunki powinny zostać spełnione, aby móc analizę zachodzącej deformacji przeprowadzić w trzech wymiarach. Zaproponowano rozszerzenie metody tensorów na przypadek trójwymiarowy. Rozpatrzono zagadnienia związane z komputerową implementacją tych metod, a więc z akwizycją punktów charakterystycznych, kalibracją i skalowaniem obrazów o różnym powiększeniu, pozycjonowaniem pary wzajemnie ortogonalnych teleradiogramów, wyborem odpowiednich parametrów do wyznaczania, a następnie prezentacją wyników. Rozważania zilustrowano przykładową trójwymiarową analizą cefalogramów. Omówiono także ograniczenia wynikające z tych metod oraz kierunki dalszych prac 01020nas a2200133 4500000000100000000000100001008004100002260000700043100002600050700001700076245014200093300001400235520063700249 1999 d c11 1 aAgnieszka Anna Tomaka 1 aAdam Mrózek 00 aTrójwymiarowa komputerowa ocena deformacji twarzowej części czaszki w oparciu o analizę par wzajemnie prostopadłych teleradiogramów a163–169 3 aPraca prezentuje zagadnienia związane z opracowaniem i implementacją trójwymiarowej metody tensorów dla oceny deformacji twarzowej części czaszki w oparciu o dwie pary wzajemnie prostopadłych teleradiogramów. Przedstawia ideę metody oraz definiuje parametry służące ilościowej ocenie deformacji, a także podaje algorytm obliczeniowy. Jako dane wejściowe traktuje pary wzajemnie prostopadłych teleradiogramów, prezentując warunki, jakie muszą być spełnione, aby tworzyły one wiarygodny trójwymiarowy cefalogram. Praca omawia także ograniczenia metody oraz porównuje ją z tradycyjną metodą płaszczyznową. 00905nas a2200157 4500000000100000000000100001008004100002100002600043700002900069700002200098245007100120300001400191490000700205520052100212022001400733 2008 d 1 aAgnieszka Anna Tomaka 1 aS. Trzeszkowska-Rotkegel 1 aMichał Tarnawski 00 aCorrection of error in 3D reconstruction induced by CT gantry tilt a169–175 0 v12 3 aThe paper presents the problems connected with 3D reconstruction of CT slices of the database of orthodontic patients, using the commercial application software. Serious errors occurred for scans taken with a tilted CT gantry and inverse table movement. A compensation of the errors is proposed and the results after the compensation are verified by comparison to laser scans for a reference object, and to the measurements performed using the dedicated software of the CT station for selected cases in the database. a1642-6037 00678nas a2200157 4500000000100000000000100001008004100002100002600043700002100069700001500090700001500105700001500120245007300135300001200208520030000220 2006 d 1 aAgnieszka Anna Tomaka 1 aKrzysztof Skabek 1 aE. Piętka 1 aJ. Łęski 1 aS. Franiel 00 aAutomatic Registration and Merging of 3D Surface Scans of Human Head a75–81 3 aThe article presents a method of registration of range images obtained from different viewpoints and a method to merge them properly into one 3D photograph of patient head for orthodontic diagnosis. Our task concentrates on obtaining automatically the precise and repeatable examination results. 02282nas a2200133 4500000000100000000000100001008004100002260008600043100002600129700002200155245011400177300001200291520184500303 2014 d bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland 1 aAgnieszka Anna Tomaka 1 aMichał Tarnawski 00 aIntegration of multimodal image data for the purposes of supporting the diagnosis of the stomatognatic system a68–75 3 aTechnical development makes it possible to augment clinical examination of the stomatognathic system by the analysis of images acquired with different imaging modalities: virtual dental models - laser scans of dental models, 2D and 3D biometric photography, orthopantomograms (ORP) and cephalograms, Computed Tomography CT and Cone Beam Computed Tomography CBCT. All image data for one person form the patient specific record, which can be used for dignosis, progonosis, treatment planning, and the evaluation of treatment outcome, however, the analyzes performed for particular imaging modalities have to be integrated in the mind of a medical specialist. The paper presents an integration method for multimodal imaging data. The main idea relies on registration - a transformation of various imaging data into the same coordinate system, connected with the patient. A type of transformation has to be defined for each modality, according to the data representation used. The basis assumption is the presence, in the imaging data from various modalities, of common areas, which can be used to find the transformation through an optimization process. For disjoint images, where such common areas are not available, the use of additional reference objects is suggested and special transferring devices are designed. Registration of 3D images acquired at the same time amounts to a seek for a rigid-body transformation. Relating 2D and 3D images to each other involves identifying a projection. Presented examples of integration of multimodal image data include: fusion of 3D facial photography and digital dental models, producing digital gnathostatic models; segmenting the CT data with separation of craniomaxillary complex and the mandible using virtual dental models: determinig patient position during radiographic examination.
01093nas a2200145 4500000000100000000000100001008004100002260000600043100002600049700002200075700002100097700003100118245012000149520067800269 2007 d cX 1 aAgnieszka Anna Tomaka 1 aMichał Tarnawski 1 aLeszek Luchowski 1 aB. Liśniewska-Machorowska 00 aDigital dental models and 3D patient photographs registration for orthodontic documentation and diagnostic purposes 3 aOrthodontic diagnosis uses the information obtained by different imaging modalities, but routine diagnosis of simple cases still relies on the orthopantomogram, the lateral cephalogram, planar photographs and dental cast models. The article presents a method of virtual registration of 3D photographs (3D facial scans) with digital dental models. By deriving the idea from old gnathostatic models we explain the registration process with the use of registration objects – an equivalent of the traditional facial arch. Potential use of such registration to create a standardized patient dataset is discussed, in order to integrate the analysis of facial and dental models. 00379nas a2200121 4500000000100000000000100001008004100002260009000043100002600133700002500159245005900184300001400243 2001 d bDivision of Systems and Computer Networks Wrocław University of Technology aWrocław 1 aAgnieszka Anna Tomaka 1 aKonrad Wojciechowski 00 aLandmark-based quantitative description of deformation a119–124 00455nas a2200145 4500000000100000000000100001008004100002260004400043100002100087700002600108245009000134856005000224300001300274020002200287 2016 d bSpringer International Publishing aCham 1 aKrzysztof Skabek 1 aAgnieszka Anna Tomaka 00 aModification of the ICP Algorithm for Detection of the Occlusal Area of Dental Arches uhttp://dx.doi.org/10.1007/978-3-319-39796-2_9 a97–106 a978-3-319-39796-2 00536nas a2200181 4500000000100000000000100001008004100002260004400043100002100087700002600108700002100134700002200155700002500177245006500202856005100267300001400318020002200332 2016 d bSpringer International Publishing aCham 1 aLeszek Luchowski 1 aAgnieszka Anna Tomaka 1 aKrzysztof Skabek 1 aMichał Tarnawski 1 aPrzemysław Kowalski 00 aForming an Occlusal Splint to Support the Therapy of Bruxism uhttp://dx.doi.org/10.1007/978-3-319-39904-1_24 a267–273 a978-3-319-39904-1 00300nas a2200121 4500000000100000000000100001008004100002100002600043700002100069245005800090300001000148022002000158 2006 d 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 aThe application of 3D Computer Vision In Orthodontics a58-59 aISSN: 1640-3754 00507nas a2200145 4500000000100000000000100001008004100002260002100043100002200064700002600086700002100112245012900133856007700262022002200339 2019 d bElamed aKatowice 1 aMichał Tarnawski 1 aAgnieszka Anna Tomaka 1 aLeszek Luchowski 00 aZastosowanie cyfrowych modeli gnatostatycznych. Opis przypadku / The application of digital gnathostatic models. Case report uhttps://www.medicon.pl/ortodoncja-w-praktyce-teksty-wybrane-tom-12/29634 a978-83-65883-08-7 01600nas a2200157 4500000000100000000000100001008004100002260001200043100002000055700002000075700002000095700002200115245012400137490000700261520117400268 2021 d c03/2022 1 aMateusz Żarski 1 aBartosz Wójcik 1 aKamil Książek 1 aJaroslaw Miszczak 00 aFinicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices 0 v37 3 aHigh demand for computational power significantly limits the possibility of using modern deep learning methods in the environments where one has to deal with devices limited by the performance and the energy constraints. To address this issue, this paper proposes a novel method of combining the pruning and the transfer learning techniques for the purpose of delivering solid accuracy while simultaneously lowering the demand for energy and computing power. This method is referred to as \emph{Finicky Transfer Learning} (FTL) as it is finicky during the process of selecting filters from a pre-trained feature extractor to compose a sparser architecture. The proposed filter selection process is based on an original approach utilizing the Jaccard similarity coefficient calculated between the activation maps and the masks obtained by semantic segmentation. This enables the use of CNN, trained previously on a large generic dataset, in a crack classification task. The presented method significantly lowers the inference time while maintaining or even slightly increasing the classification accuracy, enabling real-time operation on single-board computers.
00350nas a2200133 4500000000100000000000100001008004100002260001100043100002000054700002000074245010000094490000700194022001500201 2021 d c6/2021 1 aBartosz Wójcik 1 aMateusz Żarski 00 aThe measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection 0 v69 a0239-7528 01433nas a2200157 4500000000100000000000100001008004100002260001200043100002000055700002000075700002200095245009100117856003700208490000700245520102300252 2021 d c12/2021 1 aMateusz Żarski 1 aBartosz Wójcik 1 aJaroslaw Miszczak 00 aKrakN: Transfer Learning framework and dataset for infrastructure thin crack detection uhttps://arxiv.org/abs/2004.12337 0 v16 3 aMonitoring the technical condition of infrastructure is a crucial element of its maintenance. Although there are many deep learning models intended for this purpose, they are severely limited in their application due to labour-intensive gathering of new datasets and high demand for computing power during model training. To overcome these limiting factors we propose a KrakN framework. It enables end-to-end development of unique infrastructure defect detectors on digital images, achieving an accuracy of above 90%. The framework also supports the semi-automatic creation of new datasets and has modest computing power requirements. It can be used to immediately implement deep learning in the process of infrastructure management and, due to its architecture based on transfer learning, allows low metric loss when used across different datasets. We also demonstrate that thanks to its scalability and modular structure, the presented framework is easily modifiable, and can be used in realistic scenarios.
00551nas a2200169 4500000000100000000000100001008004100002260009400043100002000137700002000157700002000177700001800197700002200215245006500237856005700302020002200359 2021 d bInstitute of Fundamental Technological Research of the Polish Academy of Sciences aWarsaw 1 aMateusz Żarski 1 aBartosz Wójcik 1 aKamil Książek 1 aMarek Salamak 1 aJaroslaw Miszczak 00 aAdvances in applicable deep-learning based defect detection uhttp://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf a987-83-65550-23-1 00509nas a2200157 4500000000100000000000100001008004100002260009400043100002000137700002000157700001800177700002200195245005500217856005700272020002200329 2021 d bInstitute of Fundamental Technological Research of the Polish Academy of Sciences aWarsaw 1 aBartosz Wójcik 1 aMateusz Żarski 1 aMarek Salamak 1 aJaroslaw Miszczak 00 aExtracting crack characteristics from RGB-D images uhttp://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf a987-83-65550-23-1 01406nas a2200181 4500000000100000000000100001008004100002260001200043100002000055700002000075700002200095700002600117700002200143245008300165856003700248490000700285520093200292 2022 d c10/2022 1 aMateusz Żarski 1 aBartosz Wójcik 1 aJaroslaw Miszczak 1 aBartlomiej Blachowski 1 aMariusz Ostrowski 00 aComputer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset uhttps://arxiv.org/abs/2210.05282 0 v10 3 aIn recent years, a lot of attention is paid to deep learning methods in the context of vision-based construction site safety systems. However, there is still more to be done to establish the relationship between supervised construction workers and their essential personal protective equipment, like hard hats. A deep learning method combining object detection, head center localization, and simple rule-based reasoning is proposed in this article. In tests, this solution surpassed the previous methods based on the relative bounding box position of different instances and direct detection of hard hat wearers and non-wearers. Achieving MS COCO style overall AP of 67.5% compared to 66.4% and 66.3% achieved by the approaches mentioned above, with class-specific AP for hard hat non-wearers of 64.1% compared to 63.0% and 60.3%. The results show that using deep learning methods with a humanly interpretable rule-based algorithm is better suited for detecting hard hat non-wearers.
01407nas a2200205 4500000000100000000000100001008004100002260002100043100001900064700002400083700002400107700002000131700002000151700002300171700002000194700001800214245007500232856004600307520084800353 2023 d aMontreal, Canada 1 aSamuel Kessler 1 aMateusz Ostaszewski 1 aMichał Bortkiewicz 1 aMateusz Żarski 1 aMaciej Wołczyk 1 aJack Parker-Holder 1 aStephen Roberts 1 aPiotr Miłoś 00 aThe Effectiveness of World Models for Continual Reinforcement Learning uhttps://lifelong-ml.cc/online_proceedings 3 aWorld models power some of the most efficient reinforcement learning algorithms. In this work, we showcase that they can be harnessed for continual learning – a situation when the agent faces changing environments. World models typically employ a replay buffer for training, which can be naturally extended to continual learning. We systematically study how different selective experience replay methods affect performance, forgetting, and transfer. We also provide recommendations regarding various modeling options for using world models. The best set of choices is called Continual-Dreamer, it is task-agnostic and utilizes the world model for continual exploration. Continual-Dreamer is sample efficient and outperforms state-of-the-art task-agnostic continual reinforcement learning methods on Minigrid and Minihack benchmarks.
01259nas a2200181 4500000000100000000000100001008004100002260002700043100002600070700002200096700002000118700002000138700002000158700002100178245011400199520074200313020002201055 2022 d c06/2022 bSpringer Link 1 aBartlomiej Blachowski 1 aMariusz Ostrowski 1 aMateusz Żarski 1 aBartosz Wójcik 1 aPiotr Tauzowski 1 aLukasz Jankowski 00 aAn Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures 3 aIn the present study a comparison of frequently used computer vision (CV)-based methods for structural health monitoring of truss structures is shown. The attention is paid to template matching methods that can be classified into one of two groups: area-based and feature-based methods. Synthetic but realistic video is used in this study. Results of the comparison are reliable due to the fact that the exact displacements are known from the finite element model of the investigated structure. From the variety of tested CV methods, the Kanade–Lucas–Tomasi algorithm with FREAK-based repetitive correction outperforms the remaining tested methods in terms of the computation time with a negligibly greater estimation error.
a978-3-031-07257-4 01549nas a2200121 4500000000100000000000100001008004100002260001200043100002000055700002200075245008900097520124100186 2024 d c09/2024 1 aMateusz Żarski 1 aJaroslaw Miszczak 00 aMulti-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images 3 aQuick and accurate assessment of the damage state of buildings after natural disasters is crucial for undertaking properly targeted rescue and subsequent recovery operations, which can have a major impact on the safety of victims and the cost of disaster recovery. The quality of such a process can be significantly improved by harnessing the potential of machine learning methods in computer vision. This paper presents a novel damage assessment method using an original multi-step feature fusion network for the classification of the damage state of buildings based on pre- and post-disaster large-scale satellite images. We introduce a novel convolutional neural network (CNN) module that performs feature fusion at multiple network levels between pre- and post-disaster images in the horizontal and vertical directions of CNN network. An additional network element – Fuse Module – was proposed to adapt any CNN model to analyze image pairs in the issue of pair classification. We use, open, large-scale datasets (IDA-BD and xView2) to verify, that the proposed method is suitable to improve on existing state-of-the-art architectures. We report over a 3 percentage point increase in the accuracy of the Vision Transformer model. 00357nas a2200121 4500000000100000000000100001008004100002100002000043700002400063700002000087245010700107856002100214 d 1 aKatarzyna Filus 1 aMichał Romaszewski 1 aMateusz Żarski 00 aSemantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities uarXiv:2504.09956 01470nas a2200145 4500000000100000000000100001008004100002260004800043100002000091700002300111245007400134856004900208520104500257020002201302 2025 d c05/2025 bSpringer Nature aKonstanz, Germany 1 aMateusz Żarski 1 aSławomir Nowaczyk 00 aBalancing Performance and Scalability of Demand Forecasting ML Models uhttps://doi.org/10.1007/978-3-031-91398-3_10 3 aBalancing performance and scalability is a major concern when developing robust ML models for diverse, big-data scenarios, such as predicting demand for a number of products across multiple locations. The two mutually opposite approaches are to use a single ML model for maximizing scalability, often at the expense of performance, or to use a specialized model for each specific use case, which is often prohibitive in terms of computational costs. In this paper, we propose to balance those two approaches using our methods of model clustering and grouping. We achieve the performance level of a single use-case model while preserving the global scalability of the solution. In our experiments, we use a publicly available demand forecasting dataset as a use case. We develop and train baseline shallow ML models and DL models for both maximizing performance and scalability. Then, we showcase a desirable balance that can be achieved using our proposed methods, one that outperforms both shallow ML and specific use-case models.
a978-3-031-91398-3 01423nas a2200121 4500000000100000000000100001008004100002100002000043700002000063245012200083856003700205520105900242 d 1 aKatarzyna Filus 1 aMateusz Żarski 00 aBeyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning uhttps://arxiv.org/abs/2505.21338 3 aSimilarity manifests in various forms, including semantic similarity that is particularly important, serving as an approximation of human object categorization based on e.g. shared functionalities and evolutionary traits. It also offers practical advantages in computational modeling via lexical structures such as WordNet with constant and interpretable similarity. As in the domain of deep vision, there is still not enough focus on the phenomena regarding the similarity perception emergence. We introduce Deep Similarity Inspector (DSI) -- a systematic framework to inspect how deep vision networks develop their similarity perception and its alignment with semantic similarity. Our experiments show that both Convolutional Neural Networks' (CNNs) and Vision Transformers' (ViTs) develop a rich similarity perception during training with 3 phases (initial similarity surge, refinement, stabilization), with clear differences between CNNs and ViTs. Besides the gradual mistakes elimination, the mistakes refinement phenomenon can be observed.
01497nas a2200133 4500000000100000000000100001008004100002260001200043100002000055700002300075245007600098856005900174520113000233 2026 d c07/2026 1 aMateusz Żarski 1 aSławomir Nowaczyk 00 aNeuroplasticity-inspired dynamic ANNs for multi-task demand forecasting uhttps://ieeexplore.ieee.org/abstract/document/11592373 3 aThis paper introduces a novel approach to Dynamic Artificial Neural Networks (D-ANNs) for multi-task demand forecasting called Neuroplastic Multi-Task Network (NMT-Net). Unlike conventional methods focusing on inference-time dynamics or computational efficiency, our proposed method enables structural adaptability of the computational graph during training, inspired by neuroplasticity as seen in biological systems. Each new task triggers a dynamic network adaptation, including similarity-based task identification and selective training of candidate ANN heads, which are then assessed and integrated into the model based on their performance. We evaluated our framework using three real-world multi-task demand forecasting datasets from Kaggle. We demonstrated its superior performance and consistency, achieving lower RMSE and standard deviation compared to traditional baselines and state-of-the-art multi-task learning methods. NMT-Net offers a scalable, adaptable solution for multi-task and continual learning in time series prediction. The complete code for NMT-Net is available from our GitHub repository.
01927nas a2200181 4500000000100000000000100001008004100002260001200043100002200055700002600077700002000103700002000123700002000143700002200163245011400185856006400299520138200363 2023 d c01/2023 1 aMariusz Ostrowski 1 aBartlomiej Blachowski 1 aBartosz Wójcik 1 aMateusz Żarski 1 aPiotr Tauzowski 1 aŁukasz Jankowski 00 aA framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations uhttps://link.springer.com/article/10.1007/s11803-023-2154-3 3 aComputer vision (CV) methods for measurement of structural vibration are less expensive, and their application is more straightforward than methods based on sensors that measure physical quantities at particular points of a structure. However, CV methods produce significantly more measurement errors. Thus, computer vision-based structural health monitoring (CVSHM) requires appropriate methods of damage assessment that are robust with respect to highly contaminated measurement data. In this paper a complete CVSHM framework is proposed, and three damage assessment methods are tested. The first is the augmented inverse estimate (AIE), proposed by Peng et al. in 2021. This method is designed to work with highly contaminated measurement data, but it fails with a large noise provided by CV measurement. The second method, as proposed in this paper, is based on the AIE, but it introduces a weighting matrix that enhances the conditioning of the problem. The third method, also proposed in this paper, introduces additional constraints in the optimization process; these constraints ensure that the stiff ness of structural elements can only decrease. Both proposed methods perform better than the original AIE. The latter of the two proposed methods gives the best results, and it is robust with respect to the selected coefficients, as required by the algorithm.
01850nas a2200121 4500000000100000000000100001008004100002100001800043700002300061700002000084245008900104520153500193 2025 d 1 aAnna Zawadzka 1 aPrzemysław Głomb 1 aMateusz Żarski 00 aDevelopment of an effective method for detecting small buildings in satellite images 3 aDetecting and monitoring small-scale buildings is a critical challenge in various sectors and can be crucial for various important tasks. Buildings considered small are those with a footprint smaller than 10 × 10 meters, a definition justified by the resolution of Sentinel-2 images, which is 10 meters at best. Examples of tasks for which small building detection is essential include assessment and monitoring of damage caused by natural disasters or war, identification of illegal settlements, detecting new buildings in key military areas, and identification of structures in protected areas. Regrettably, widely available satellite imagery, such as Sentinel-2, provides very limited spatial resolution, making it impossible to efficiently detect small structures. Despite its importance, this issue remains unexplored, with very limited research directly concerning building segmentation and detecting small structures. Traditional segmentation and classification methods exhibit severe limitations, particularly due to small buildings frequently being positioned at pixel boundaries, essentially occupying an insignificant fraction of the original pixel. Additionally, in the context of buildings in complex environments (e.g., surrounded by vegetation or shadows), popular methods such as U-Net with ResNet often fail to deliver reliable results. In this study, we propose a novel approach to this issue by integrating a state-of-the-art object detection model with a deep-learning-based super-resolution network.
00365nas a2200145 4500000000100000000000100001008004100002100001800043700002000061700001700081700002300098700002400121700002000145245005400165 2026 d 1 aAnna Zawadzka 1 aMateusz Żarski 1 aKamil Drejer 1 aPrzemysław Głomb 1 aMichał Romaszewski 1 aMichał Cholewa 00 a Map-Guided Cross-Training for Building Detection 00258nas a2200085 4500000000100000008004100001100002000042700002000062245009000082 2026 d 1 aKatarzyna Filus 1 aMateusz Żarski 00 aInspecting Training Dynamics of Similarity Development in Supervised Vision Networks