00352nas a2200133   4500000000100000008004100001100001800042700002000060700001700080700002300097700002400120700002000144245005400164       2026                            d1 aAnna Zawadzka1 aMateusz Żarski1 aKamil Drejer1 aPrzemysław Głomb1 aMichał Romaszewski1 aMichał Cholewa00a Map-Guided Cross-Training for Building Detection00884nas a2200121   4500000000100000008004100001100001900042700002000061700001800081245007000099856004800169520054500217       2026                            d1 aWojciech Macek1 aMateusz Korpyś1 aDariusz Pojda00aFRASTA-toolbox: An Open Source Tool for Fracture-surface Analysis  uhttps://doi.org/10.1016/j.softx.2026.1027883 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.00258nas a2200085   4500000000100000008004100001100002000042700002000062245009000082       2026                            d1 aKatarzyna Filus1 aMateusz Żarski00aInspecting Training Dynamics of Similarity Development in Supervised Vision Networks 01475nas a2200121   4500000000100000008004100001260001200042100002000054700002300074245007600097856005900173520112100232       2026                            d  c07/20261 aMateusz Żarski1 aSławomir Nowaczyk00aNeuroplasticity-inspired dynamic ANNs for multi-task demand forecasting  uhttps://ieeexplore.ieee.org/abstract/document/115923733 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.00432nas a2200145   4500000000100000008004100001100001900042700001800061700002400079700001900103700001700122700001800139245007100157856005800228       2026                            d1 aWojciech Macek1 aDariusz Pojda1 aPrzemysław Podulka1 aAntonio Mourao1 aJose Correia1 aShun-Peng Zhu00aQualitative and quantitative fractography of structural steel S235  uhttps://onlinelibrary.wiley.com/doi/10.1111/ffe.7048801927nas a2200157   4500000000100000008004100001100002600042700002100068700002200089700002000111700002300131700001800154245012900172856003700301520143100338       2026                            d1 aAgnieszka Anna Tomaka1 aKrzysztof Domino1 aMichał Tarnawski1 aEmil Kalinowski1 aMałgorzata Domino1 aDariusz Pojda00aSimulation of temporomandibular joint space changes based on rigid-body transformation using virtual and semi-virtual models  uhttps://arxiv.org/abs/2604.253223 aThe integration of multimodal data within a common coordinate system is essential for spatial analysis of the stomatognathic system. This study aims to develop a multimodal data integration methodology for digital modeling of spatial changes in the temporomandibular joint (TMJ) across various mandible positions. A transformation tree framework was proposed to integrate CBCT, facial, and dental representation images into a common coordinate system and to simulate seven mandible positions using rigid-body transformations. Two proprietary models were applied. Spatial changes in mandible positions were propagated to TMJ articular surface positions using both models, although the results were model-related. The model-based uncertainty was quantified using error metrics. The consistency error revealed variability that dominated in the translation component over the rotation component of the rigid-body transformation, and showed anisotropy in the latero-lateral direction. The simulation errors were not uniform across mandible positions and were higher (p<0.0001) at the TMJ level (1.46 mm) than at the dental level (0.47 mm). As even small discrepancies in mandible position can lead to significant changes in the TMJ joint space, the proposed methodology may be useful for evaluating geometrically related positions of the mandible and TMJ, particularly when repeated radiographic imaging of the TMJs is undesirable.00416nas a2200157   4500000000100000008004100001260001200042100001700054700002100071700002000092700002300112700002200135700002100157245006900178300001100247       2026                            d  c05/20261 aEmery Doucet1 aZakaria Mzaouali1 aReece Robertson1 aBartłomiej Gardas1 aSebastian Deffner1 aKrzysztof Domino00aThermodynamic significance of QUBO encoding on quantum annealers  a05451202319nas a2200133   4500000000100000008004100001100001800042700002100060700002200081700002600103245010300129856003600232520191700268       2026                            d1 aDariusz Pojda1 aKrzysztof Domino1 aMichał Tarnawski1 aAgnieszka Anna Tomaka00aTransformation-driven generation of comparable projection images from multimodal anatomical scenes  uhttp://arxiv.org/abs/2606.165733 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.00522nas a2200157   4500000000100000008004100001260001200042100002200054700002100076700002300097700002700120700002100147245013900168856005000307490000700357       2025                            d  c08/20251 aMonika Okoniewska1 aPiotr Sionkowski1 aNatalia Kruszewska1 aKrzysztof Błażejczyk1 aKrzysztof Domino00aA 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/111219370 v6300429nas a2200133   4500000000100000008004100001260001200042100002100054700002100075700002200096245012300118856004700241490000700288       2025                            d  c12/20241 aKrzysztof Domino1 aArkadiusz Sochan1 aJaroslaw Miszczak00aAnalytical assessment of workers' safety concerning direct and indirect ways of getting infected by dangerous pathogen  uhttps://doi.org/10.1016/j.jocs.2024.1025090 v8501448nas a2200133   4500000000100000008004100001260004800042100002000090700002300110245007400133856004900207520103600256020002201292       2025                            d  c05/2025bSpringer NatureaKonstanz, Germany1 aMateusz Żarski1 aSławomir Nowaczyk00aBalancing Performance and Scalability of Demand Forecasting ML Models  uhttps://doi.org/10.1007/978-3-031-91398-3_103 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.  a978-3-031-91398-301927nas a2200169   4500000000100000008004100001260001200042100002600054700002100080700002200101700001800123245009600141856004700237490000900284520145000293022001401743       2025                            d  c10/20251 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aMichał Tarnawski1 aDariusz Pojda00aComputer-Aided Design of Personalized Occlusal Positioning Splints Using Multimodal 3D Data  uhttps://doi.org/10.1016/j.cviu.2025.1045270 v262C3 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.  a1077-314201828nas a2200109   4500000000100000008004100001100001800042700002300060700002000083245008900103520152600192       2025                            d1 aAnna Zawadzka1 aPrzemysław Głomb1 aMateusz Żarski00aDevelopment of an effective method for detecting small buildings in satellite images3 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.00390nas a2200145   4500000000100000008004100001260001200042100001800054700002000072700002600092700002100118245004800139856005000187490000700237       2025                            d  c02/20251 aDariusz Pojda1 aMateusz Żarski1 aAgnieszka Anna Tomaka1 aLeszek Luchowski00adpVision: environment for multimodal images  uhttp://dx.doi.org/10.1016/j.softx.2025.1020930 v3000463nas a2200145   4500000000100000008004100001653002200042653002400064653001800088100002100106700001900127245011700146856004200263490001200305       2025                            d10atransport szynowy10aobliczenia kwantowe10aoptymalizacja1 aKrzysztof Domino1 aWojciech Gamon00aOd Baltimore do Śląska: komputery kwantowe i hybrydowe metody optymalizacji w planowaniu transportu szynowego   uhttps://tmir.sitk.org.pl/nr-8-2025-r/0 v08 202501373nas a2200157   4500000000100000008004100001260001200042100002100054700001700075700002000092700002300112700002200135245006000157490000700217520099100224       2025                            d  c08/20251 aKrzysztof Domino1 aEmery Doucet1 aReece Robertson1 aBartłomiej Gardas1 aSebastian Deffner00aOn the Baltimore Light RailLink into the quantum future0 v153 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.01641nas a2200169   4500000000100000008004100001260007700042100001900119700001700138700001800155700002000173700001800193700002000211245007100231856005600302520111300358       2025                            d  c09.2025bWrocław University of Science and TechnologyaWrocław, Poland1 aWojciech Macek1 aMariusz Deja1 aDariusz Pojda1 aMateusz Korpyś1 aCho-Pei Jiang1 aGrzegorz Lesiuk00aQuantitative 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.00529nas a2200157   4500000000100000008004100001260010600042100002000148700001700168700002100185700002100206700002300227700002200250245004900272856005000321       2025                            d  c12/2025bIEEE International Conference on Quantum Computing and Engineering (QCE25)aAlbuquerque, USA1 aReece Robertson1 aEmery Doucet1 aZakaria Mzaouali1 aKrzysztof Domino1 aBartłomiej Gardas1 aSebastian Deffner00aSimon's Period Finding on a Quantum Annealer  uhttps://ieeexplore.ieee.org/document/1125034401447nas a2200169   4500000000100000008004100001260001200042100002400054700002200078700002000100700002300120700002100143245011400164856003700278490000700315520095500322       2025                            d  c05/20251 aMátyás Koniorczyk1 aKrzysztof Krawiec1 aLudmila Botelho1 aNikola Bešinović1 aKrzysztof Domino00aSolving rescheduling problems in heterogeneous urban railway networks using hybrid quantum-classical approach  uhttps://arxiv.org/abs/2309.067630 v343 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.01371nas a2200157   4500000000100000008004100001260001200042100002100054700002400075700002100099700002200120245007800142856003700220490000700257520094900264       2025                            d  c03/20251 aKatarzyna Gawlak1 aJarosław Konieczny1 aKrzysztof Domino1 aJaroslaw Miszczak00aStatistical analysis of geoinformation data for increasing railway safety  uhttps://arxiv.org/abs/2406.010830 v343 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.00450nas a2200157   4500000000100000008004100001260001200042100002600054700001800080700002200098700002100120245007600141856005300217490000800270022001400278       2025                            d  c05/20251 aAgnieszka Anna Tomaka1 aDariusz Pojda1 aMichał Tarnawski1 aLeszek Luchowski00aTransformation trees – documentation of multimodal image registration  uhttps://doi.org/10.1016/j.compbiomed.2025.1103110 v193  a0010-482500345nas a2200121   4500000000100000008004100001260001200042100002100054700001800075245007700093856004600170490000700216       2025                            d  c06/20251 aLeszek Luchowski1 aDariusz Pojda00aVisualization of a multidimensional point cloud as a 3D swarm of avatars  uhttps://www.mdpi.com/2076-3417/15/13/72090 v1500519nas a2200157   4500000000100000008004100001260001200042100002100054700002300075700002600098700001900124700002100143245014600164856004400310490000700354       2024                            d  c04/20241 aPiotr Sionkowski1 aNatalia Kruszewska1 aAgnieszka Kreitschitz1 aStanislav Gorb1 aKrzysztof Domino00aApplication of Recurrence Plot Analysis to Examine Dynamics of Biological Molecules on the Example of Aggregation of Seed Mucilage Components  uhttps://www.mdpi.com/1099-4300/26/5/3800 v2602042nas a2200217   4500000000100000008004100001260001200042100002600054700002100080700001900101700001900120700002200139700002400161700002300185700002200208700002100230245008200251856002600333490000700359520145800366       2024                            d  c09/20141 aTomasz Śmierzchalski1 aJakub Pawłowski1 aArtur Przybysz1 aŁukasz Pawela1 aZbigniew Puchała1 aMátyás Koniorczyk1 aBartłomiej Gardas1 aSebastian Deffner1 aKrzysztof Domino00aHybrid quantum-classical computation for automatic guided vehicles scheduling  uhttps://rdcu.be/dUkwi0 v143 aMotivated 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.01536nas a2200109   4500000000100000008004100001260001200042100002000054700002200074245008900096520124100185       2024                            d  c09/20241 aMateusz Żarski1 aJaroslaw Miszczak00aMulti-Step Feature Fusion for Natural Disaster Damage Assessment on Satellite Images3 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.02554nas a2200181   4500000000100000008004100001260011900042100001600161700002100177700001800198700002100216700002100237700002200258245012600280856006700406520187700473020002202350       2024                            d  c03/2024bSpringer, Cham,  Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021)1 aPiotr Weber1 aPiotr Bełdowski1 aAdam Gadomski1 aKrzysztof Domino1 aPiotr Sionkowski1 aDamian Ledziński00aStatistical 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_453 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.  a978-3-031-56495-602067nas a2200181   4500000000100000008004100001260011800042100002100160700001600181700001800197700002100215700002300236700002100259245010200280856006600382520141500448020002201863       2024                            d  c03/2024bSpringer, Cham, Perspectives in Dynamical Systems II — Numerical and Analytical Approaches (DSTA 2021)1 aPiotr Bełdowski1 aPiotr Weber1 aAdam Gadomski1 aPiotr Sionkowski1 aNatalia Kruszewska1 aKrzysztof Domino00aStudies of the Interaction Dynamics in Albumin–Chondroitin Sulfate Systems by Recurrence Method  uhttps://link.springer.com/chapter/10.1007/978-3-031-56496-3_53 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.  a978-3-031-56495-601501nas a2200169   4500000000100000008004100001260001200042100002000054700002000074700002000094700002200114700002600136245009200162856007700254490001200331520098800343       2023                            d  c10/20231 aBartosz Wójcik1 aMateusz Żarski1 aKamil Książek1 aJaroslaw Miszczak1 aMirosław Skibniewski00aA deep learning method for hard-hat-wearing detection based on head center localization  uhttps://journals.pan.pl/dlibra/publication/147340/edition/128931/content0 v71 (EA)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.01905nas a2200169   4500000000100000008004100001260001200042100002200054700002600076700002000102700002000122700002000142700002200162245011400184856006400298520137300362       2023                            d  c01/20231 aMariusz Ostrowski1 aBartlomiej Blachowski1 aBartosz Wójcik1 aMateusz Żarski1 aPiotr Tauzowski1 aŁukasz Jankowski00aA framework for computer vision-based health monitoring of a truss structure subjected to unknown excitations  uhttps://link.springer.com/article/10.1007/s11803-023-2154-33 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.00421nas a2200157   4500000000100000008004100001260001200042100002100054700002400075700002200099700002300121700002200144700002300166245006700189490000700256       2023                            d  c01/20231 aKrzysztof Domino1 aMátyás Koniorczyk1 aKrzysztof Krawiec1 aKonrad Jałowiecki1 aSebastian Deffner1 aBartłomiej Gardas00aQuantum annealing in the NISQ era: railway conflict management0 v2501385nas a2200193   4500000000100000008004100001260002100042100001900063700002400082700002400106700002000130700002000150700002300170700002000193700001800213245007500231856004600306520083900352       2023                            d  aMontreal, Canada1 aSamuel Kessler1 aMateusz Ostaszewski1 aMichał Bortkiewicz1 aMateusz Żarski1 aMaciej Wołczyk1 aJack Parker-Holder1 aStephen Roberts1 aPiotr Miłoś00aThe Effectiveness of World Models for Continual Reinforcement Learning  uhttps://lifelong-ml.cc/online_proceedings3 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.01237nas a2200169   4500000000100000008004100001260002700042100002600069700002200095700002000117700002000137700002000157700002100177245011400198520073300312020002201045       2022                            d  c06/2022bSpringer Link1 aBartlomiej Blachowski1 aMariusz Ostrowski1 aMateusz Żarski1 aBartosz Wójcik1 aPiotr Tauzowski1 aLukasz Jankowski00aAn Efficient Computer Vision-Based Method for Estimation of Dynamic Displacements in Spatial Truss Structures3 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.  a978-3-031-07257-401380nas a2200169   4500000000100000008004100001260001200042100002000054700002000074700002200094700002600116700002200142245008300164856003700247490000700284520091900291       2022                            d  c10/20221 aMateusz Żarski1 aBartosz Wójcik1 aJaroslaw Miszczak1 aBartlomiej Blachowski1 aMariusz Ostrowski00aComputer Vision Based Inspection on Post-Earthquake With UAV Synthetic Dataset  uhttps://arxiv.org/abs/2210.052820 v103 aThe area affected by the earthquake is vast and often difficult to entirely cover, and the earthquake itself is a sudden event that causes multiple defects simultaneously, that cannot be effectively traced using traditional, manual methods. This article presents an innovative approach to the problem of detecting damage after sudden events by using an interconnected set of deep machine learning models organized in a single pipeline and allowing for easy modification and swapping models seamlessly. Models in the pipeline were trained with a synthetic dataset and were adapted to be further evaluated and used with unmanned aerial vehicles (UAVs) in real-world conditions. Thanks to the methods presented in the article, it is possible to obtain high accuracy in detecting buildings defects, segmenting constructions into their components and estimating their technical condition based on a single drone flight.00484nas a2200157   4500000000100000008004100001260001200042100002100054700002100075700001800096700001600114700002000130700002100150245010700171856004800278       2022                            d  c06/20221 aPiotr Sionkowski1 aPiotr Bełdowski1 aN. Kruszewska1 aPiotr Weber1 aBeata Marciniak1 aKrzysztof Domino00aEffect of ion and binding site on the conformation of chosen glycosaminoglycans at the albumin surface  uhttps://www.mdpi.com/1099-4300/24/6/811/pdf00406nas a2200133   4500000000100000008004100001260001200042100002200054700002400076700002100100245010200121856004200223490000700265       2022                            d  c11/20221 aKrzysztof Krawiec1 aMátyás Koniorczyk1 aKrzysztof Domino00aMożliwość zastosowania obliczeń kwantowych w modelowaniu systemów i procesów transportowych  uhttps://tmir.sitk.org.pl/nr-9-2022-r/0 v0901590nas a2200145   4500000000100000008004100001260001200042100002100054700001600075700001800091700002200109245011100131490000700242520119500249       2022                            d  c09/20221 aKrzysztof Domino1 aAkash Kundu1 aÖzlem Salehi1 aKrzysztof Krawiec00aQuadratic and Higher-Order Unconstrained Binary Optimization of Railway Rescheduling for Quantum Computing0 v213 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.00376nas a2200133   4500000000100000008004100001260001200042100002100054700002400075700002200099245006700121856004700188490000700235       2022                            d  c08/20221 aKrzysztof Domino1 aMátyás Koniorczyk1 aZbigniew Puchała00aStatistical quality assessment of Ising-based annealer outputs  uhttps://doi.org/10.1007/s11128-022-03623-50 v2100315nas a2200121   4500000000100000008004100001260001200042100002100054700002200075245004200097856004600139490000800185       2022                            d  c11/20221 aKrzysztof Domino1 aJaroslaw Miszczak00aWill you infect me with your opinion?  uhttps://doi.org/10.48550/arXiv.2208.134260 v60800538nas a2200157   4500000000100000008004100001260009400042100002000136700002000156700002000176700001800196700002200214245006500236856005700301020002200358       2021                            d  bInstitute of Fundamental Technological Research of the Polish Academy of SciencesaWarsaw1 aMateusz Żarski1 aBartosz Wójcik1 aKamil Książek1 aMarek Salamak1 aJaroslaw Miszczak00aAdvances in applicable deep-learning based defect  detection  uhttp://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf  a987-83-65550-23-101728nas a2200169   4500000000100000008004100001260002800042100002100070700002100091700002200112700001800134245010400152300001100256490000700267520125700274020002701531       2021                            d  c11/2019bSpringer, Cham1 aPiotr Bełdowski1 aKrzysztof Domino1 aDamian Bełdowski1 aRobert Dobosz00aAnalysis of Protein Intramolecular and Solvent Bonding on Example of Major Synovial Fluid Component  a93-1050 v173 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 978-3-030-67227-000496nas a2200145   4500000000100000008004100001260009400042100002000136700002000156700001800176700002200194245005500216856005700271020002200328       2021                            d  bInstitute of Fundamental Technological Research of the Polish Academy of SciencesaWarsaw1 aBartosz Wójcik1 aMateusz Żarski1 aMarek Salamak1 aJaroslaw Miszczak00aExtracting crack characteristics from RGB-D images  uhttp://v4shm.ippt.pan.pl/WEO2021-BookOfAbstracts.pdf  a987-83-65550-23-101578nas a2200145   4500000000100000008004100001260001200042100002000054700002000074700002000094700002200114245012400136490000700260520116500267       2021                            d  c03/20221 aMateusz Żarski1 aBartosz Wójcik1 aKamil Książek1 aJaroslaw Miszczak00aFinicky transfer learning—A method of pruning convolutional neural networks for cracks classification on edge devices0 v373 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.01748nas a2200169   4500000000100000008004100001260001200042100001800054700002600072700002100098700002200119245011400141856004600255490000700301520125600308022001401564       2021                            d  c12/20211 aDariusz Pojda1 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aMichał Tarnawski00aIntegration and application of multimodal measurement techniques: relevance of photogrammetry to orthodontics  uhttps://www.mdpi.com/1424-8220/21/23/80260 v213 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.  a1424-822001411nas a2200145   4500000000100000008004100001260001200042100002000054700002000074700002200094245009100116856003700207490000700244520101400251       2021                            d  c12/20211 aMateusz Żarski1 aBartosz Wójcik1 aJaroslaw Miszczak00aKrakN: Transfer Learning framework and dataset for infrastructure thin crack detection  uhttps://arxiv.org/abs/2004.123370 v163 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.00465nas a2200169   4500000000100000008004100001260001200042100002100054700002600075700001800101700002100119700002500140245006400165856004500229490000700274022001400281       2021                            d  c02/20211 aLeszek Luchowski1 aAgnieszka Anna Tomaka1 aDariusz Pojda1 aKrzysztof Skabek1 aPrzemysław Kowalski00aMultimodal imagery in forensic incident scene documentation  uhttps://www.mdpi.com/1424-8220/21/4/14070 v21  a1424-822001783nas a2200169   4500000000100000008004100001100002300042700002100065700002200086700002100108700001700129700001900146245010600165856004900271490000700320520128600327       2021                            d1 aTomasz Błachowicz1 aKrzysztof Domino1 aMichal Koruszowic1 aJacek Grzybowski1 aTobias Böhm1 aAndrea Ehrmann00aStatistical analysis of nanofiber mat AFM images by  gray-scale-resolved Hurst exponent distributions  uhttps://www.mdpi.com/2076-3417/11/5/2436/pdf0 v113 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.00337nas a2200121   4500000000100000008004100001260001100042100002000053700002000073245010000093490000700193022001500200       2021                            d  c6/20211 aBartosz Wójcik1 aMateusz Żarski00aThe measurements of surface defect area with an RGB-D camera for a BIM-backed bridge inspection0 v69  a0239-7528 01697nas a2200157   4500000000100000008004100001260001900042100001800061700002100079700001600100245004300116300001200159490000700171520133400178020002701512       2021                            d  bSpringer, Cham1 aN. Kruszewska1 aKrzysztof Domino1 aPiotr Weber00aWater Behvaior Near the  Lipid Bilayer  a107-1300 v173 aIn 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 978-3-030-67227-001508nas a2200169   4500000000100000008004100001260001200042100002300054700001700077700002100094700002100115700001900136245007000155856009200225490000700317520101400324       2020                            d  c06/20201 aTomasz Błachowicz1 aTobias Böhm1 aJacek Grzybowski1 aKrzysztof Domino1 aAndrea Ehrmann00aAnalysis of AFM images of Nanofibre Mats for Automated Processing  uhttp://www.tekstilec.si/wp-content/uploads/2020/06/10.14502Tekstilec2020.63.104-112.pdf0 v633 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.01892nas a2200181   4500000000100000008004100001260001200042100001600054700002100070700002100091700002200112700001800134245006400152856004400216490000800260520142800268022001401696       2020                            d  c03/20201 aPiotr Weber1 aPiotr Bełdowski1 aKrzysztof Domino1 aDamian Ledziński1 aAdam Gadomski00aChanges of Conformation in Albumin Protein with Temperature  uhttps://www.mdpi.com/1099-4300/22/4/4050 v4053 aThis work presents the analysis of the conformation of albumin in the temperature range of 300K – 312K , i.e., in the physiological range. Using molecular dynamics simulations, we calculate values of the backbone and dihedral angles for this molecule. We analyze the global dynamic properties of albumin treated as a chain. In this range of temperature, we study parameters of the molecule and the conformational entropy derived from two angles that reflect global dynamics in the conformational space. A thorough rationalization, based on the scaling theory, for the subdiffusion Flory–De Gennes type exponent of 0.4 unfolds in conjunction with picking up the most appreciable fluctuations of the corresponding statistical-test parameter. These fluctuations coincide adequately with entropy fluctuations, namely the oscillations out of thermodynamic equilibrium. Using Fisher’s test, we investigate the conformational entropy over time and suggest its oscillatory properties in the corresponding time domain. Using the Kruscal–Wallis test, we also analyze differences between the root mean square displacement of a molecule at various temperatures. Here we show that its values in the range of 306K – 309K are different than in another temperature. Using the Kullback–Leibler theory, we investigate differences between the distribution of the root mean square displacement for each temperature and time window.  a1099-430000470nas a2200145   4500000000100000008004100001260001300042100002600055700002200081700002100103700002100124700001800145245013900163022002200302       2020                            d  bAOW EXIT1 aAgnieszka Anna Tomaka1 aMichał Tarnawski1 aLeszek Luchowski1 aBartosz Cerkaski1 aDariusz Pojda00aIntegracja obrazowania wielomodalnego w zastosowaniu do wspomagania diagnostyki stomatologicznej, planowania i oceny wyników leczenia  a978-83-7837-097-002661nas a2200169   4500000000100000008004100001260001200042100001800054700002100072700002200093700002100115700001900136245010300155856004600258490001100304520217600315       2020                            d  c12/20201 aN. Kruszewska1 aKrzysztof Domino1 aRadosław Drelich1 aWieslaw Urbaniak1 aAneta Petelska00aInteractions between Beta-2-glycoprotein-1 and phospholipid bilayer  – a molecular dynamic study  uhttps://doi.org/10.3390/membranes101203960 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.01303nas a2200121   4500000000100000008004100001260001200042100002100054245007600075490000800151520100800159022001401167       2020                            d  c07/20201 aKrzysztof Domino00aMultivariate cumulants in outlier detection for financial data analysis0 v5583 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.  a0378-437100423nas a2200157   4500000000100000008004100001260001300042100002100055700002600076700001800102700002200120700002100142700002500163245005500188022002200243       2020                            d  bAOW EXIT1 aLeszek Luchowski1 aAgnieszka Anna Tomaka1 aDariusz Pojda1 aMichał Tarnawski1 aKrzysztof Skabek1 aPrzemysław Kowalski00aSkanery3D - trójwymiarowe obrazowanie powierzchni  a978-83-7837-097-001066nas a2200133   4500000000100000008004100001260000900042100002100051700001700072245010300089300000800192490000700200520072500207       2019                            d  c20191 aKrzysztof Domino1 aPiotr Gawron00aAn algorithm for arbitrary–order cumulant tensor calculation in a sliding window of data streams  a2060 v293 aHigh 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.02129nas a2200145   4500000000100000008004100001260001200042100002300054700002100077700002300098245013800121856005300259490000800312520166300320       2019                            d  c11/20181 aMałgorzata Domino1 aKrzysztof Domino1 aZdzisław Gajewski00aAn application of higher order multivariate cumulants in modelling of myoelectrical activity of porcine uterus during early pregnancy  uhttps://doi.org/10.1016/j.biosystems.2018.10.0190 v1753 aThe 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.00431nas a2200145   4500000000100000008004100001260005300042100001800095700002600113700002100139700002100160700002200181245006800203490001400271       2019                            d  c05/2019bSpringer International PublishingaCham1 aDariusz Pojda1 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aKrzysztof Skabek1 aMichał Tarnawski00aApplying computational geometry to designing an occlusal splint0 vvol 1098600446nas a2200145   4500000000100000008004100001260001200042100002600054700002100080700001800101700002100119700002200140245006800162856007000230       2019                            d  c10/20191 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aDariusz Pojda1 aKrzysztof Skabek1 aMichał Tarnawski00aApplying computational geometry to designing an occlusal splint  uhttps://www.tandfonline.com/doi/abs/10.1080/21681163.2019.167009600542nas a2200157   4500000000100000008004100001260007300042100002300115700002100138700002400159700002000183245011100203856003700314300001100351020002200362       2019                            d  c2019bWroclaw University of Science and TechnologyaWrocław, Poland1 aPrzemysław Głomb1 aKrzysztof Domino1 aMichał Romaszewski1 aMichał Cholewa00aBand selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images  uhttps://arxiv.org/abs/1808.03513  ap. 121  a978-83-943803-2-802273nas a2200181   4500000000100000008004100001260001200042100002300054700002100077700002200098700001500120700002300135700002300158245013100181856006100312490000800373520171000381       2019                            d  c01/20191 aMałgorzata Domino1 aKrzysztof Domino1 aBartosz Pawlinski1 aMaria Sady1 aMagdalena Gajewska1 aZdzisław Gajewski00aComputational multivariate modeling of electrical activity of the porcine uterus during spontaneous and hormone-induced estrus  uhttp://onlinelibrary.wiley.com/doi/10.1113/EP087451/full0 v1043 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.00988nas a2200157   4500000000100000008004100001260004400042100002600086700002100112700001800133700002200151245006500173490001300238520055700251020002200808       2019                            d  bSpringer International PublishingaCham1 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aDariusz Pojda1 aMichał Tarnawski00aDynamic Occlusion Surface Estimation from 4D Multimodal Data0 vvol 10113 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.  a978-3-030-23761-502136nas a2200157   4500000000100000008004100001260005500042100001800097700002100115700002100136700001900157245011200176856003700288520162600325022002701951       2019                            d  bUTP University of Science & Technologya Bydgoszcz1 aN. Kruszewska1 aPiotr Bełdowski1 aKrzysztof Domino1 aKanika Lambert00aInvestigating conformation changes and network formation of mucin in joints functioning in human locomotion  uhttps://arxiv.org/abs/1911.093833 aMany 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 978-83-65603-96-802118nam a2200121   4500000000100000008004100001260002400042100002100066245005200087856003700139520179200176022002801968       2019                            d  b IITiS PANaGliwice1 aKrzysztof Domino00aSelected Methods for non-Gaussian Data Analysis  uhttps://arxiv.org/abs/1811.104863 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: 978-83-926054-3-001975nas a2200169   4500000000100000008004100001260005400042100002600096700002100122700001800143700002200161700002100183245007000204856003600274520146800310022002701778       2019                            d  bUTP University of Science & TechnologyaBydgoszcz1 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aDariusz Pojda1 aMichał Tarnawski1 aKrzysztof Domino00aThe dynamics of the stomatognathic system from 4D multimodal data  uhttp://arxiv.org/abs/1911.088543 aThe 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 978-83-65603-96-800504nas a2200157   4500000000100000008004100001260008200042100002300124700002100147700002000168700002200188700002300210245009600233300001000329490000700339       2019                            d  c02/2019bWILEY, 111 RIVER ST, HOBOKEN 07030-5774, NJ USAaGottingen, GERMANY 1 aMałgorzata Domino1 aKrzysztof Domino1 aJasinski Tomasz1 aBartosz Pawlinski1 aZdzisław Gajewski00aThe hierarchy of the features of uterine myoelectrical activity during estrus cycle in sows  ap. 260 v5400494nas a2200133   4500000000100000008004100001260002100042100002200063700002600085700002100111245012900132856007700261022002200338       2019                            d  bElamedaKatowice1 aMichał Tarnawski1 aAgnieszka Anna Tomaka1 aLeszek Luchowski00aZastosowanie 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  a978-83-65883-08-700509nas a2200157   4500000000100000008004100001260001200042100002300054700002400077700002000101700002100121245011600142856007100258490000800329022001400337       2018                            d  c07/20181 aPrzemysław Głomb1 aMichał Romaszewski1 aMichał Cholewa1 aKrzysztof Domino00aApplication of hyperspectral imaging and Machine Learning methods for the detection of gunshot residue patterns  uhttp://www.sciencedirect.com/science/article/pii/S03790738183036570 v290  a0379-073801019nas a2200145   4500000000100000008004100001100002100042700001700063700001900080245005900099856005400158300001000212490000700222520064400229       2018                            d1 aKrzysztof Domino1 aPiotr Gawron1 aŁukasz Pawela00aEfficient computation of higher order cumulant tensors  uhttps://epubs.siam.org/doi/abs/10.1137/17M1149365  aA16100 v403 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.01565nas a2200109   4500000000100000008004100001100002100042700001400063245011600077856003700193520122500230       2018                            d1 aKrzysztof Domino1 aAdam Glos00aIntroducing higher order correlations to marginals' subset of multivariate data by means of Archimedean copulas  uhttps://arxiv.org/abs/1803.078133 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.00808nas a2200145   4500000000100000008004100001260004400042100002600086700001800112700002100130700002200151245004000173520042700213020002200640       2018                            d  bSpringer International PublishingaCham1 aAgnieszka Anna Tomaka1 aDariusz Pojda1 aLeszek Luchowski1 aMichał Tarnawski00aMethods of Tooth Equator Estimation3 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.  a978-3-030-00840-600417nas a2200145   4500000000100000008004100001100002100042700001400063700002400077700001900101700002500120245008000145856003900225490000700264       2018                            d1 aKrzysztof Domino1 aAdam Glos1 aMateusz Ostaszewski1 aŁukasz Pawela1 aPrzemysław Sadowski00aProperties of quantum stochastic walks from the asymptotic scaling exponent  uhttps://doi.org/10.26421/QIC18.3-40 v1800840nas a2200145   4500000000100000008004100001260001200042100002200054700002700076700002100103245009100124856010300215490000700318520036900325       2018                            d  c06/20181 aTomasz Blachowicz1 aViacheslav Andreychouk1 aKrzysztof Domino00aRandom 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-dffa091a26a10 v363 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.00348nas a2200121   4500000000100000008004100001100002100042700001400063700002400077245008100101856003700182490000700219       2017                            d1 aKrzysztof Domino1 aAdam Glos1 aMateusz Ostaszewski00aSuperdiffusive quantum stochastic walk definable on arbitrary directed graph  uhttps://arxiv.org/abs/1701.046240 v1701667nas a2200121   4500000000100000008004100001260001200042100002100054245010800075856005000183490000800233520130400241       2017                            d  c10/20161 aKrzysztof Domino00aThe use of the multi-cumulant tensor analysis for the algorithmic optimisation of investment portfolios  uhttp://dx.doi.org/10.1016/j.physa.2016.10.0420 v4673 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.00523nas a2200169   4500000000100000008004100001260004400042100002100086700002600107700002100133700002200154700002500176245006500201856005100266300001400317020002200331       2016                            d  bSpringer International PublishingaCham1 aLeszek Luchowski1 aAgnieszka Anna Tomaka1 aKrzysztof Skabek1 aMichał Tarnawski1 aPrzemysław Kowalski00aForming an Occlusal Splint to Support the Therapy of Bruxism  uhttp://dx.doi.org/10.1007/978-3-319-39904-1_24  a267–273  a978-3-319-39904-100442nas a2200133   4500000000100000008004100001260004400042100002100086700002600107245009000133856005000223300001300273020002200286       2016                            d  bSpringer International PublishingaCham1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aModification 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  a978-3-319-39796-200567nas a2200193   4500000000100000008004100001260004400042100002600086700002200112700001800134700001600152700001700168700001500185700002300200245006300223856005100286300001400337020002200351       2016                            d  bSpringer International PublishingaCham1 aAgnieszka Anna Tomaka1 aMichał Tarnawski1 aDariusz Pojda1 aEwa Piętka1 aPawel Badura1 aJacek Kawa1 aWojciech Wieclawek00aMultimodal Image Registration for Mandible Motion Tracking  uhttp://dx.doi.org/10.1007/978-3-319-39796-2_15  a179–191  a978-3-319-39796-200983nas a2200133   4500000000100000008004100001260005000042100002100092700001800113700002300131245006700154300001400221520061400235       2016                            d  bSpringer International Publishing Switzerland1 aKrzysztof Skabek1 aDariusz Pojda1 aRyszard Winiarczyk00aProgressive reduction of meshes with arbitrary selected points  a525–5333 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.01072nas a2200205   4500000000100000008004100001100001900042700001400061700002200075700002100097700001200118700001400130700001300144700001300157700002000170245005400190300001100244490000800255520060300263       2016                            d1 aAndrea Ehrmann1 aS Komraus1 aTomasz Blachowicz1 aKrzysztof Domino1 aMK Nees1 aPJ Jakobs1 aH Leiste1 aM Mathes1 aM Schaarschmidt00aPseudo exchange bias due to rotational anisotropy  a7–100 v4123 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.01165nas a2200157   4500000000100000008004100001100002200042700001900064700002100083245012100104856007100225300001400296490000800310520067500318022001400993       2016                            d1 aTomasz Blachowicz1 aAndrea Ehrmann1 aKrzysztof Domino00aStatistical analysis of digital images of periodic fibrous structures using generalized Hurst exponent distributions  uhttp://www.sciencedirect.com/science/article/pii/S0378437116001795  a167 - 1770 v4523 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.  a0378-437101406nas a2200169   4500000000100000008004100001260000900042100002100051700002300072700002700095245009000122856010300212300001200315490000700327520088600334022001601220       2015                            d  c20151 aKrzysztof Domino1 aPrzemysław Głomb1 aZbigniew Łaskarzewski00aClassification 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  a13–240 v273 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 01353nas a2200169   4500000000100000008004100001100001900042700002300061700002100084700001900105700001700124700001700141245010000158490001200258520089900270022001401169       2015                            d1 aAndrea Ehrmann1 aTomasz Błachowicz1 aKrzysztof Domino1 aSusanne Aumann1 aMarcus Weber1 aHafed Zghidi00aExamination of hairiness changes due to washing in knitted fabrics using a random walk approach0 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.  a1746-774800859nas a2200157   4500000000100000008004100001100001700042700001900059700002200078700002100100700001900121245007500140300001400215490000600229520046600235       2015                            d1 aHafed Zghidi1 aMaksym Walczak1 aTomasz Blachowicz1 aKrzysztof Domino1 aAndrea Ehrmann00aImage Processing and Analysis of Textile Fibers by Virtual Random Walk  a717–7200 v53 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.00285nas a2200097   4500000000100000008004100001100002600042245009300068300001200161022001400173       2015                            d1 aAgnieszka Anna Tomaka00aMultimodal Image Data Integration and Analysis for the Purposes of Orthodontic Diagnosis  a59–61  a1640-375401744nas a2200121   4500000000100000008004100001100002200042700001900064700001700083700002100100245007400121520142700195       2015                            d1 aTomasz Blachowicz1 aAndrea Ehrmann1 aHafed Zghidi1 aKrzysztof Domino00aOptical determination of hemp fiber structures by statistical methods3 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.01152nas a2200145   4500000000100000008004100001260001200042100002100054700002300075245011000098300001400208490000800222520076200230022001400992       2015                            d  c01/20151 aKrzysztof Domino1 aTomasz Błachowicz00aThe use of copula functions for modeling the risk of investment in shares traded on world stock exchanges  a142–1510 v4243 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.  a0378-437100851nas a2200121   4500000000100000008004100001260008600042100002200128700002600150245005500176300001200231520048600243       2014                            d  bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland1 aMichał Tarnawski1 aAgnieszka Anna Tomaka00aAcquisition of mandible movement with a 3D scanner  a63–673 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.01762nas a2200121   4500000000100000008004100001260007300042100001800115700002500133245015100158300001200309520131900321       2014                            d  c3bInternational Centre of Biocybernetics Polish Academy of Sciences1 aDariusz Pojda1 aPrzemysław Kowalski00aAssumptions for a software tool to support the diagnosis of the stomatognathic system: data gathering, visualizing compund models and their motion  a51–563 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.00367nas a2200121   4500000000100000008004100001100002100042700002600063245012100089300001400210490000700224022001400231       2014                            d1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aComparison of photgrammetric techniques for surface reconstruction from images to reconstruction from laser scanning  a161–1780 v26  a1896-533402260nas a2200121   4500000000100000008004100001260008600042100002600128700002200154245011400176300001200290520183600302       2014                            d  bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland1 aAgnieszka Anna Tomaka1 aMichał Tarnawski00aIntegration of multimodal image data for the purposes of supporting the diagnosis of the stomatognatic system  a68–753 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.01097nas a2200121   4500000000100000008004100001260008600042100002100128700002600149245012100175300001200296520066700308       2014                            d  bInternational Centre of Biocybernetics Polish Academy of Sciences, Warsaw, Poland1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aTechniques of processing and segmentation of 3d geometric models for detection of the occlusal area of dental arches  a57–623 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.01327nas a2200133   4500000000100000008004100001100002100042700002300063245011400086300001200200490000800212520095900220022001401179       2014                            d1 aKrzysztof Domino1 aTomasz Błachowicz00aThe use of copula functions for modeling the risk of investment in shares traded on the Warsaw Stock Exchange  a77–850 v4133 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.  a0378-437101408nas a2200157   4500000000100000008004100001260001200042100002100054700002300075700001900098245010000117300001400217490000800231520099700239022001401236       2014                            d  c07/20141 aKrzysztof Domino1 aTomasz Błachowicz1 aMaurycy Ciupak00aThe use of copula functions for predictive analysis of correlations between extreme storm tides  a489–4970 v4133 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.  a0378-437100833nas a2200157   4500000000100000008004100001260013300042100002500175700001800200700002100218700002400239700002500263245005200288300001400340520032100354       2014                            d  bSilesian University of Technology, Gliwice, Institute of Theoretical and Applied Informatics, Polish Academy of Science, Gliwice1 aPrzemysław Kowalski1 aDariusz Pojda1 aAleksandra Gruca1 aTadeusz Czachórski1 aStanisław Kozielski00aVisualization of heterogenic images of 3D scene  a291–2973 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.01521nas a2200133   4500000000100000008004100001100001800042700001300060700001600073700002100089245010800110490000700218520116200225       2013                            d1 aN. Kruszewska1 aP. Weber1 aA. Gadomski1 aKrzysztof Domino00aA METHOD OF MECHANICAL CONTROL OF STRUCTURE-PROPERTY RELATIONSHIP IN GRAINS-CONTAINING MATERIAL SYSTEMS0 v443 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.00358nam a2200097   4500000000100000008004100001260008100042100002600123245008900149020002200238       2013                            d  bInstytut Informatyki Teoretycznej i Stosowanej PANaGliwice, ul. Bałtycka 51 aAgnieszka Anna Tomaka00aAnaliza obrazów wielomodalnych dla potrzeb nieinwazyjnej diagnostyki ortodontycznej  a978-83-62652-46-400728nas a2200121   4500000000100000008004100001100002700042700002300069700002100092245008200113490000700195520040400202       2013                            d1 aViacheslav Andreychouk1 aTomasz Błachowicz1 aKrzysztof Domino00aFractal dimensions of cave for exemplary gypsum cave-mazes of Western Ukraine0 v223 aGypsum 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.00702nas a2200133   4500000000100000008004100001260000700042100002700049700002300076700002100099245006300120520037100183022001400554       2013                            d  c111 aViacheslav Andreychouk1 aTomasz Błachowicz1 aKrzysztof Domino00aFractal dimensions of gypsum cave-mazes of Western Ukraine3 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.  a1997-749200877nas a2200121   4500000000100000008004100001100002100042245010900063300001400172490000800186520054100194022002000735       2012                            d1 aKrzysztof Domino00aThe use of the Hurst exponent to investigate the global maximum of the Warsaw Stock Exchange WIG20 index  a156–1690 v3913 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: 0378-437101067nas a2200133   4500000000100000008004100001100002100042700001800063245006900081300001400150490000700164520074800171022001400919       2011                            d1 aKrzysztof Skabek1 aDariusz Pojda00aOptimization of Mesh Representation for Progressive Transmission  a263–2750 v233 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.  a1896-533401279nas a2200121   4500000000100000008004100001100002100042245009200063300001300155490000800168520096700176022001401143       2011                            d1 aKrzysztof Domino00aThe use of the Hurst exponent to predict changes in trends on the Warsaw Stock Exchange  a98–1090 v3903 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.  a0378-437100322nas a2200121   4500000000100000008004100001100002100042700002600063245007600089300001400165490000700179022001400186       2010                            d1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aApplications of Computer Vision in Medicine and Protection of Monuments  a203–2230 v22  a1896-533400324nas a2200109   4500000000100000008004100001100001800042245011900060300001400179490000700193022001400200       2010                            d1 aDariusz Pojda00aCalculating the position of the observer in 3D using 2D images for the interactive presentation of virtual objects  a177–1860 v22  a1896-533400621nas a2200145   4500000000100000008004100001260000700042100002600049700002100075245006600096300001400162490000700176520027800183022001400461       2010                            d  c091 aAgnieszka Anna Tomaka1 aLeszek Luchowski00aPurpose of cephalometric computations in craniofacial surgery  a403–4070 v583 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).  a0239-752801850nas a2200097   4500000000100000008004100001100002600042700002400068245005800092520160200150       2009                            d1 aAgnieszka Anna Tomaka1 aA. Pisulska-Otremba00aComputer Vision Support for the Orthodontic Diagnosis3 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.00679nas a2200145   4500000000100000008004100001260003200042100002600074700002100100700002100121700001300142245003800155300001400193520032600207       2009                            d  bSpringeraBerlin Heidelberg1 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aKrzysztof Skabek1 aK. Cyran00aFrom museum exhibits to 3D models  a477–4863 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 proposed00892nas a2200145   4500000000100000008004100001100002600042700002900068700002200097245007100119300001400190490000700204520052100211022001400732       2008                            d1 aAgnieszka Anna Tomaka1 aS. Trzeszkowska-Rotkegel1 aMichał Tarnawski00aCorrection of error in 3D reconstruction induced by CT gantry tilt  a169–1750 v123 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.  a1642-603700313nas a2200109   4500000000100000008004100001100001800042245011100060300001100171490000700182022001400189       2008                            d1 aDariusz Pojda00aSystem of computer aiding diagnostic of Squint with applying analysis of the signal of the move of the eye  a3–140 v20  a1896-533400314nas a2200121   4500000000100000008004100001100002100042700002600063700002000089245004400109300001400153020002500167       2007                            d1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka1 aM. Kurzydlowski00aAutomatic Mering of 3D atribute meshes.  a645–652  aISBN-13: 978-3-540-701080nas a2200133   4500000000100000008004100001260000600042100002600048700002200074700002100096700003100117245012000148520067800268       2007                            d  cX1 aAgnieszka Anna Tomaka1 aMichał Tarnawski1 aLeszek Luchowski1 aB. Liśniewska-Machorowska00aDigital dental models and 3D patient photographs registration for orthodontic documentation and diagnostic purposes3 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.00665nas a2200145   4500000000100000008004100001100002600042700002100068700001500089700001500104700001500119245007300134300001200207520030000219       2006                            d1 aAgnieszka Anna Tomaka1 aKrzysztof Skabek1 aE. Piętka1 aJ. Łęski1 aS. Franiel00aAutomatic Registration and Merging of 3D Surface Scans of Human Head  a75–813 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.00920nas a2200145   4500000000100000008004100001100001400042700002600056700001500082700001500097700001500112245008300127300001400210520055000224       2006                            d1 aA. Sornek1 aAgnieszka Anna Tomaka1 aE. Piętka1 aJ. Łęski1 aS. Franiel00aComputer system for the analysis of facial features based on 3d surface scans.  a377–3823 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.01070nas a2200109   4500000000100000008004100001100002100042700002600063700002300089245010600112520074200218       2006                            d1 aSzymon Kadłubek1 aAgnieszka Anna Tomaka1 aRyszard Winiarczyk00aComputer System for the Registration and Fusion of Multimodal Images for the Purposes of Orthodontics3 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.00267nas a2200109   4500000000100000008004100001260000600042100001800048700001600066245006100082300001400143       2006                            d  c91 aDariusz Pojda1 aJózef Ober00aModel of the oculomotoric system for diagnosis of Squint  a193–19801126nas a2200169   4500000000100000008004100001260000700042100001800049700002600067700002300093700001500116700001500131700001500146245006600161300001400227520071500241       2006                            d  c091 aK. Wieckowska1 aAgnieszka Anna Tomaka1 aRyszard Winiarczyk1 aE. Piętka1 aJ. Łęski1 aS. Franiel00aSystem for facial tissue reconstruction based on dowel method  a383–3873 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.00287nas a2200109   4500000000100000008004100001100002600042700002100068245005800089300001000147022002000157       2006                            d1 aAgnieszka Anna Tomaka1 aLeszek Luchowski00aThe application of 3D Computer Vision In Orthodontics  a58-59  aISSN: 1640-375400708nas a2200169   4500000000100000008004100001260000700042100002600049700002100075700002100096700002200117245005800139300001400197490000600211520030700217022001400524       2005                            d  c101 aAgnieszka Anna Tomaka1 aLeszek Luchowski1 aKrzysztof Skabek1 aMichał Tarnawski00a3D head surface scanning techniques for orthodontics.  a123–1300 v93 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.  a1642-603700352nas a2200133   4500000000100000008004100001100002500042700002600067700003100093245005900124300001400183490000700197022001400204       2005                            d1 aPrzemysław Kowalski1 aAgnieszka Anna Tomaka1 aB. Liśniewska-Machorowska00aLandmarks Identification Using Active Appearance Model  a235–2490 v17  a0867-212100350nas a2200133   4500000000100000008004100001260000700042100002600049700003100075245007600106300001400182490000600196022001400202       2005                            d  c101 aAgnieszka Anna Tomaka1 aB. Liśniewska-Machorowska00aThe application of 3D surfaces scanning in the facial features analysis  a233–2400 v9  a1642-603700314nas a2200133   4500000000100000008004100001260000700042100002600049700002500075245004600100300001400146490000600160022001400166       2005                            d  c101 aAgnieszka Anna Tomaka1 aPrzemysław Kowalski00aUsing active models for finding landmarks  a225–2320 v9  a1642-603700223nas a2200085   4500000000100000008004100001100001800042700001600060245006100076       2004                            d1 aDariusz Pojda1 aJózef Ober00aModel of the oculomotoric system for diagnosis of Squint00287nas a2200085   4500000000100000008004100001100002600042700002100068245011200089       2003                            d1 aAgnieszka Anna Tomaka1 aLeszek Luchowski00aComputer-aided longitudinal description of deformation and its application to craniofacial growth in humans00250nas a2200085   4500000000100000008004100001100001800042700001600060245008800076       2003                            d1 aDariusz Pojda1 aJózef Ober00aMultilayer model of the oculomothoric system for computer based diagnosis of squint00309nas a2200097   4500000000100000008004100001260005600042100002600098700002100124245006600145       2003                            d  bUczelniane Wydawnictwa Naukowo-DydaktyczneaKraków1 aAgnieszka Anna Tomaka1 aLeszek Luchowski00aStereovision Techniques for the Three-Dimensional Cephalogram00243nas a2200085   4500000000100000008004100001260000700042100002600049245008200075       2002                            d  c051 aAgnieszka Anna Tomaka00aDetekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych00389nas a2200157   4500000000100000008004100001100001600042700002500058700002100083700001800104700002100122245005600143300001100199490000700210022001400217       2002                            d1 aA. Augustyn1 aPrzemysław Kowalski1 aLeszek Luchowski1 aDariusz Pojda1 aKrzysztof Skabek00aSystem for toolmark analysis in forensic laboratory  a3–160 v14  a0867-212100266nas a2200085   4500000000100000008004100001260003000042100002600072245008200098       2001                            d  c12bPolitechnika Śląska1 aAgnieszka Anna Tomaka00aDetekcja i opis deformacji struktur na podstawie sekwencji obrazów cyfrowych00366nas a2200109   4500000000100000008004100001260009000042100002600132700002500158245005900183300001400242       2001                            d  bDivision of Systems and Computer Networks Wrocław University of TechnologyaWrocław1 aAgnieszka Anna Tomaka1 aKonrad Wojciechowski00aLandmark-based quantitative description of deformation  a119–12400334nas a2200121   4500000000100000008004100001100001600042700002500058700002100083700001800104700002100122245006900143       2000                            d1 aA. Augustyn1 aPrzemysław Kowalski1 aLeszek Luchowski1 aDariusz Pojda1 aKrzysztof Skabek00aComputer-assisted analysis of striated toolmarks and impressions00906nas a2200109   4500000000100000008004100001100002100042700002600063245012000089490000700209520058000216       2000                            d1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aSymulator widoków wielościanów uzyskiwanych za pomocą głowicy stereowizualnej – implementacja i zastosowania0 v123 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.00184nas a2200073   4500000000100000008004100001100001800042245005000060       2000                            d1 aDariusz Pojda00aZastosowanie systemu OBER2 w diagnostyce zeza02254nas a2200121   4500000000100000008004100001260000700042100002600049700001700075245009500092300001400187520193100201       1999                            d  c101 aAgnieszka Anna Tomaka1 aAdam Mrózek00aKomputerowe metody oceny deformacji twarzo-czaszki na podstawie sekwencji teleradiogramów  a109–1143 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 prac00394nas a2200157   4500000000100000008004100001260001500042100002100057700002500078700002600103700001900129700001800148700002100166245003500187300001400222       1999                            d  cXaKraków1 aLeszek Luchowski1 aPrzemysław Kowalski1 aAgnieszka Anna Tomaka1 aMaciej Philipp1 aDariusz Pojda1 aKrzysztof Skabek00aMobile Stereovision Strategies  a531–53600271nas a2200109   4500000000100000008004100001100001500042700002100057700002600078245005100104490000600155       1999                            d1 aK. Stąpor1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aModel-based 3D-Shape Recovery by Aspect Graphs0 v800304nas a2200121   4500000000100000008004100001100001800042700002500060245005900085300001200144490000700156022001900163       1999                            d1 aDariusz Pojda1 aPrzemysław Kowalski00aProgramowe platformy dla zagadnień wizji komputerowej  a57–810 v37  aISSN 0208-728600730nas a2200097   4500000000100000008004100001100001800042245007700060300001200137520048300149       1999                            d1 aDariusz Pojda00aSegmentacja i pasowanie obrazów 2D dla potrzeb aktywnego stereowidzenia  a81–843 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.00611nas a2200097   4500000000100000008004100001100002100042700002600063245005800089520036600147       1999                            d1 aKrzysztof Skabek1 aAgnieszka Anna Tomaka00aSoftware 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.01007nas a2200121   4500000000100000008004100001260000700042100002600049700001700075245014200092300001400234520063700248       1999                            d  c111 aAgnieszka Anna Tomaka1 aAdam Mrózek00aTrójwymiarowa komputerowa ocena deformacji twarzowej części czaszki w oparciu o analizę par wzajemnie prostopadłych teleradiogramów  a163–1693 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.00683nas a2200097   4500000000100000008004100001100001900042700002600061245006100087520043700148       1998                            d1 aMaciej Philipp1 aAgnieszka Anna Tomaka00aDisplacement and rotation estimation by cluster matching3 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.00719nas a2200133   4500000000100000008004100001100001800042700002500060245006700085300001400152490000700166520039300173022001900566       1998                            d1 aDariusz Pojda1 aPrzemysław Kowalski00aKryteria pasowania punktów charaktery-stycznych w stereowizji  a209–2230 v353 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 0208-728601111nas a2200121   4500000000100000008004100001260014700042100002600189700001500215245008300230300001700313520065900330       1998                            d  c10bZakład elektroniki i Systemów Komputerowych, Instytut Informatyki, Uniwersytet Śląski, Sosnowieca41-200 Sosnowiec, ul. Będzińska 601 aAgnieszka Anna Tomaka1 aJan Piecha00aWybrane aspekty implementacji analizy wzrostu twarzo-czaszki metodą tensorów  aBP–21–313 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.00849nas a2200109   4500000000100000008004100001100002100042700001900063700002600082245007400108520055700182       1997                            d1 aM. Wrześniowski1 aMaciej Philipp1 aAgnieszka Anna Tomaka00aDetekcja i estymacja parametrów ruchu z wykorzystaniem klasteryzacji3 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.00675nas a2200097   4500000000100000008004100001100002600042700001800068245005100086520044000137       1997                            d1 aAgnieszka Anna Tomaka1 aJ. Ihnatowicz00aModel procesu tworzenia obrazu rentgenowskiego3 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.01401nas a2200109   4500000000100000008004100001100002000042700002000062245012200082856003700204520105000241                                       d1 aKatarzyna Filus1 aMateusz Żarski00aBeyond Accuracy: Uncovering the Role of Similarity Perception and its Alignment with Semantics in Supervised Learning  uhttps://arxiv.org/abs/2505.213383 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.00389nas a2200133   4500000000100000008004100001100001800042700001900060700002400079700002100103700002400124700002100148245008600169                                       d1 aEwa Kędziera1 aWojciech Gamon1 aMátyás Koniorczyk1 aZakaria Mzaouali1 aAndrea Galadíková1 aKrzysztof Domino00aEMU circulation planning for Silesian Railways: case study and a quantum approach00344nas a2200109   4500000000100000008004100001100002000042700002400062700002000086245010700106856002100213                                       d1 aKatarzyna Filus1 aMichał Romaszewski1 aMateusz Żarski00aSemantic Depth Matters: Explaining Errors of Deep Vision Networks through Perceived Class Similarities  uarXiv:2504.09956