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Search results for: MORPHOLOGICAL IMAGE PROCESSING

  • Selected issues of women's participation in labour market and on boards of family entreprises

    Publication

    The chapter presents cultural determinants of roles attributed to women, as well as their situation in the labour market and in family businesses. The main aim of the study is to trace the changes in the social image of women’s roles in the labour market. The observations made are based on the changes in the value of the economic activity rate among women in the Baltic Sea Region (BSR) countries, as well as on the feminisation...

  • Mechanizmy komunikacji w rozproszonych systemach specjalnego przeznaczenia

    Publication

    - Year 2014

    Zadania ochrony i bezpieczeństwa granic państwa realizowane przez Straż Graniczną wymagają wsparcia ze strony nowoczesnych systemów Technologii Informacyjnych (TI) uwarunkowanych ich specjalnym przeznaczeniem. Z uwagi na charakter tej służby, rozwiązania dla jej potrzeb muszą być realizowane jako systemy rozproszone umożliwiające przenoszenie i przetwarzanie informacji głosowych oraz różnorodnych danych, w tym specjalnego przeznaczenia....

  • Krajobraz wiejski i turystyka. Poszukiwanie równowagi pomiędzy widzeniem i wizerunkiem wsi

    Publication

    - Year 2013

    Najważniejszym składnikiem marki wsi jest krajobraz. Wizerunek wsi kreowany w turystyce i dostępny widok różnią się jednak coraz bardziej: przekaz reklamowy identyfikuje wieś z przyrodą oraz ciszą i spokojem; wieś realna stanowi, najczęściej dysharmonijną, mozaikę wiejsko-miejskiego zagospodarowania. Konfrontacja dostarczonego przez turystykę komunikatu z oglądanym krajobrazem podważa wiarygodność marki wsi, co stanowi zagrożenie...

  • Structured deformation of granular material in the state of active earth pressure

    Publication
    • L. Danuta
    • A. Tordesillas
    • M. Pietrzak
    • S. Zhou
    • M. Nitka

    - COMPUTERS AND GEOTECHNICS - Year 2023

    The paper focuses on the ability of granular materials to undergo structured deformation by analysing the data from the retaining wall model tests and discrete element simulations. The structured deformation means the movement of a granular material which produces a stable, regular pattern of multiple shear bands. The paper's primary purpose is to study this kind of deformation for the selected data representing the state of active...

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  • Selection of Visual Descriptors for the Purpose of Multi-camera Object Re-identification

    A comparative analysis of various visual descriptors is presented in this chapter. The descriptors utilize many aspects of image data: colour, texture, gradient, and statistical moments. The descriptor list is supplemented with local features calculated in close vicinity of key points found automatically in the image. The goal of the analysis is to find descriptors that are best suited for particular task, i.e. re-identification...

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  • Italy, an Extraordinary Commonplace? Stereotypes and Imaginaries of Italianness in Online Communication by Fashion Brands

    Publication

    - Fashion Theory: The Journal of Dress, Body & Culture - Year 2024

    The paper explores the use of country-related stereotypes associated with Italian identity in the social media communication of 21 Italian fashion brands on Instagram. Focusing on the concept of “made in Italy”, the research employs image content analysis to identify how the selected sample of brands communicates Italian identity globally. The theoretical framework emphasizes the importance of the Country of Origin (COO) concept,...

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  • DS-CDMA receiver in Software Defined Radio technology. Admission to the implementation of a RAKE receiver

    Publication

    Programmable radio is one of the latest trends in the construction of multi-standard receivers. The technology, called Software Defined Radio (SDR), is also an ideal test platform that allows to try out different algorithms of signal receiving. This particular feature led to choose this platform to implement a DS-CDMA receiver (Direct Sequence Code Division Multiple Access). The use of SDR allows for a gradual upgrade of data processing...

  • GPU based implementation of Temperature-Vegetation Dryness Index for AVHRR3 Satellite Data

    Publication

    Paper presents an implementation of TVDI (Temperature-Vegetation-Dryness Index) algorithm on GPU (Graphics Processing Unit). Calculation of this index is based on LST (Land Surface Temperature) and NDVI (Normalized Difference Vegetation Index). Discussed results are based on multi-spectral imagery retrieved from AVHRR3 sensors for area of Poland. All phases of TVDI implementation on GPU are modified in respect to CUDA platform....

  • Embracing silence: Creating inclusive spaces for autistic employees

    I concur with Asselineau et al. (2024) that workplace silence profoundly impacts individual and organizational processes. Although they have detailed its significance across different contexts, a vital aspect merits deeper investigation. Namely, many autistic individuals exhibit hypersensitivity to sensory stimuli, such as noise. For this demographic, as well as for nonautistic individuals with sensory processing disorders, exposure...

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  • FFT spectrum based matching algorithm for activedynamic thermography

    Publication

    - QIRT Journal - Year 2010

    In Active Dynamic thermography (ADT) sequences of consecutive temperature distributions are analyzed. In biomedical applications of ADT, the problems of a patient's movements in front of a thermal camera should be eliminated before data analysis. Complete mechanical stabilization of the patients is impossible due to natural voluntary and involuntary moves caused by pulse breathing, etc. This paper presents a simple and efficient...

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  • Open-source software (OSS) and hardware (OSH) in UAVs

    Publication

    - Year 2020

    The popularity of the Open Source Tool (OST) has expanded significantly. This is the case for Unmanned Aerial Vehicles (UAVs) based on open-source hardware (OSH) as well. Open-source software (OSS) and OSH can be applied in a wide range of applications and can improve several technologies. The chapter begins with an introduction to OSS depicting its rationale, description of fundamental differences between OSS and proprietary software...

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  • Wear of electroplated diamond tools in lap-grinding of Al2O3 ceramic materials

    Publication

    - WEAR - Year 2020

    Current development of modern products, together with ever-increasing demands for their operation and usage, necessitate the search for new processing methods. Abrasive machining is widely used in many industrial areas, especially for processing difficult-to-machine materials such as advanced ceramics. Grinding with lapping kinematics, also called lap-grinding, is still one of the innovative methods of abrasive processing being...

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  • Protokoły łączności do transmisji strumieni multimedialnych na platformie KASKADA

    Publication

    Platforma KASKADA rozumiana jako system przetwarzania strumieni multimedialnych dostarcza szeregu usług wspomagających zapewnienie bezpieczeństwa publicznego oraz ocenę badań medycznych. Wydajność platformy KASKADA w znaczącym stopniu uzależniona jest od efektywności metod komunikacji, w tym wymiany danych multimedialnych, które stanowią podstawę przetwarzania. Celem prowadzonych prac było zaprojektowanie podsystemu komunikacji...

  • Membrane distillation assisting food production processes of thermally sensitive food liquid items: a review

    Publication

    Physical separation technologies have become important tool for processing in the current food manufacturing industries, especially for the products containing bioactive compounds thanks to their health benefits in costumers. As for the processing of bioactive food ingredients implies the implementation of integrated systems oriented to their separation, fractionation, and recovery. In this field, membrane distillation (MD), which...

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  • Sensors and System for Vehicle Navigation

    Publication

    - SENSORS - Year 2022

    In recent years, vehicle navigation, in particular autonomous navigation, has been at the center of several major developments, both in civilian and defense applications. New technologies, such as multisensory data fusion, big data processing, or deep learning, are changing the quality of areas of applications, improving the sensors and systems used. Recently, the influence of artificial intelligence on sensor data processing and...

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  • Shore Construction Detection by Automotive Radar for the Needs of Autonomous Surface Vehicle Navigation

    Publication

    - ISPRS International Journal of Geo-Information - Year 2019

    Autonomous surface vehicles (ASVs) are becoming more and more popular for performing hydrographic and navigational tasks. One of the key aspects of autonomous navigation is the need to avoid collisions with other objects, including shore structures. During a mission, an ASV should be able to automatically detect obstacles and perform suitable maneuvers. This situation also arises in near-coastal areas, where shore structures like...

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  • The Role of Proteins in Food

    Publication

    This chapter describes the effect of proteins on the sensory attributes and the biological value and safety of foods. The role of proteins depends on their amino acid composition and structure, on changes due to storage and processing, as well as on interactions with other food components. The effect on the sensory quality of foods is brought about by hydrophobicity, solubility, water holding capacity, gelling, film formation,...

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  • Implementation of TVDI calculation for coastal zone

    Publication

    - Year 2015

    Paper will show an implementation of TVDI (Temperature-Vegetation-Dryness Index) algorithm on GPU (Graphics Processing Unit). Calculation of this index is based on LST (Land Surface Temperature) and NDVI (Normalized Difference Vegetation Index). Discussed results are based on multi-spectral imagery retrieved from AVHRR3 sensors for area of Poland, especially from region of Gdańsk coastal zone. All phases of TVDI implementation...

  • Performance evaluation of parallel background subtraction on GPU platforms

    Implementation of the background subtraction algorithm on parallel GPUs is presented. The algorithm processes video streams and extracts foreground pixels. The work focuses on optimizing parallel algorithm implementation by taking into account specific features of the GPU architecture, such as memory access, data transfers and work group organization. The algorithm is implemented in both OpenCL and CUDA. Various optimizations of...

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  • Fluctuation-enhanced and conductometric gas sensing with nanocrystalline NiO thin films: A comparison

    Publication
    • U. Cindemir
    • M. Trawka
    • J. Smulko
    • C. Granqvist
    • L. Österlund
    • G. Niklasson

    - SENSORS AND ACTUATORS B-CHEMICAL - Year 2017

    Nanocrystalline thin films of NiO were prepared by advanced reactive gas deposition, and their responses to formaldehyde, ethanol and methane gases were studied via fluctuation-enhanced and conductometric methods Thin films with thicknesses in the 200–1700-nm range were investigated in as-deposited form and after annealing at 400 and 500 °C. Morphological and structural analyses showed porous deposits with NiO nanocrystals having...

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  • Adaptive acoustic crosstalk cancellation in mobile computer device

    The cancellation of acoustic crosstalk is employed to enhance the stereo image in mobile listening conditions. A practical setup employing a mobile computer is employed. The adaptation of the crosstalk cancellation filter to the position of the listener's head is featured. The measurement evaluating the possibility of practical application of the method are described. The head and torso simulator was used for measurements. The...

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  • Receiver-side fingerprinting method based on quaternion sandwich product

    In this paper a new receiver-side fingerprinting method for color images is proposed. The proposed method belongs to the group of Joint Fingerprinting and Decryption (JFD) methods. Each component of the color image is represented as a point in 3D space, which is formed by 3 color channels. Encryption and fingerprinting can be interpreted as rotation, scaling and translation of these points. Calculations are performed using quaternion...

  • The determinants of the Region's and its SMEs' Competitive Position in the Context of Mega Events - the Case of the Euro 2012

    In this paper a modified Preuss model was used to assess the factors to enhance the competitiveness of the region and the SMEs located in the region. To accomplish the above, six types of event-structure were applied: infrastructure, knowledge, networks, culture, image and emotions. They were described in detail in reference to the case of Euro 2012 in Poland in general and Pomeranian region in particular. Finally the Authors take...

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  • Measuring pulse rate with a webcam — A non-contact method for evaluating cardiac activity

    Publication

    In this paper the simple and robust method of measuring the pulse rate is presented. Elaborated algorithm allows for efficient pulse rate registration directly from face image captured from webcam. The desired signal was obtained by proper channel selection and principal component analysis. A developed non-contact method of heart rate monitoring is shown in the paper. The proposed technique may have a great value in monitoring...

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  • Optimized Deep Learning Model for Flood Detection Using Satellite Images

    Publication
    • A. Stateczny
    • H. D. Praveena
    • R. H. Krishnappa
    • K. R. Chythanya
    • B. B. Babysarojam

    - Remote Sensing - Year 2023

    The increasing amount of rain produces a number of issues in Kerala, particularly in urban regions where the drainage system is frequently unable to handle a significant amount of water in such a short duration. Meanwhile, standard flood detection results are inaccurate for complex phenomena and cannot handle enormous quantities of data. In order to overcome those drawbacks and enhance the outcomes of conventional flood detection...

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  • Objectivization of Audio-Visual Correlation analysis

    Publication

    Simultaneous perception of audio and visual stimuli often causes the concealment or misrepresentation of information actually contained in these stimuli. Such effects are called the ''image proximity effect'' or the ''ventriloquism effect'' in literature. Until recently, most research carried out to understand their nature was based on subjective assessments. The Authors of this paper propose a methodology based on both subjective...

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  • Analyzing the Impact of Simulated Multispectral Images on Water Classification Accuracy by Means of Spectral Characteristics

    Publication

    Remote sensing is widely applied in examining the parameters of the state and quality of water. Spectral characteristics of water are strictly connected with the dispersion of electromagnetic radiation by suspended matter and the absorp-tion of radiation by water and chlorophyll a and b.Multispectral sensor ALI has bands within the ranges of electromagnetic radia-tion: blue and infrared, absent in sensors such as Landsat, SPOT,...

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  • Time for temporariness! Temporary architecture - whim or necessity?

    Publication

    - Year 2016

    What are the qualities of temporary architectural objects that make them helpful instruments for evolving the image of contemporary urban space? Six hypotheses provide rationales for why current temporary architecture seems to be a remedy for dysfunctional city structures. The research was limited to the temporary architectural objects constructed in open-air city zones, including the architecture of events. The temporary objects'...

  • Advancements in the Additive Manufacturing of Magnesium and Aluminum Alloys through Laser-Based Approach

    Publication
    • S. K. Sharma
    • H. S. Grewal
    • K. K. Saxena
    • K. A. Mohammed
    • C. Prakash
    • J. P. Davim
    • D. Buddhi
    • R. Raju
    • D. G. Mohan
    • J. Tomków

    - Materials - Year 2022

    Complex structures can now be manufactured easily utilizing AM technologies to meet the pre-requisite objectives such as reduced part numbers, greater functionality, and lightweight, among others. Polymers, metals, and ceramics are the few materials that can be used in AM technology, but metallic materials (Magnesium and Aluminum) are attracting more attention from the research and industrial point of view. Understanding the role...

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  • Digital Photogrammetry in the Analysis of the Ventricles' Shape and Size

    Publication

    - Year 2017

    This article presents spatial analyzes conducted to assess the potential of ReMake software to be used for medical purposes, with emphasis on the analysis of the shape and dimensions of the ventricles. To achieve this goal, the length of the sections measured with the ReMake and Image Master programs have been compared. RMS error was on the level of 1.2 mm. In addition to indicating the appropriateness of using this software, there...

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  • Specification of private art galleries used in the central part of old town Belgrade

    Publication

    In Belgrade, since the late 1990s, private art galleries have appeared that indirectly create the image of the city through the propagation of art, take part in the education process of the residents and undertake criticism of local and global events. The article is an answer to the following questions: [1] why and how do the bottom-up art oriented places appear in Belgrade, [2] how do they function, and (3) what is their architectural...

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  • Evaluating calibration and robustness of pedestrian detectors

    Publication

    - Year 2020

    In this work robustness and calibration of modern pedestrian detectors are evaluated. Pedestrian detection is a crucial perception com- ponent in autonomous driving and here we study its performance under different image corruptions. Furthermore, we provide analysis of classifi- cation calibration of pedestrian detectors and we show a positive effect of using style-transfer augmentation technique. Our analysis is aimed as a step...

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  • A FPTAS for minimizing total completion time in a single machine time-dependent scheduling problem

    In this paper a single machine time-dependent scheduling problem with total completion time criterion is considered. There are given n jobs J1,…,Jn and the processing time pi of the ith job is given by pi=a+bisi, where si is the starting time of the ith job (i=1,…,n),bi is its deterioration rate and a is the common base processing time. If all jobs have deterioration rates different and not smaller than a certain constant u>0,...

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  • Multidimensional GIS for satellite imagery analysis

    Multidimensional Geographical Information System allows storing, querying and processing of multidimensional query data. It is able to process satellite imagery and provide tools for its analysis. In the article authors present the developed system that analyzes a time series of SENTINEL - 1 mission satellite imagery acquired over the coast of Poland. The algorithm used finds and detects changes in the shape...

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  • Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport

    Publication
    • M. Zych
    • R. Hanus
    • L. Petryka
    • D. Świsulski
    • A. Strzępowicz
    • P. Zych

    - Year 2014

    The work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods...

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  • Application of gamma densitometry and statistical signal analysis to gas phase velocity measurements in pipeline hydrotransport

    Publication
    • M. Zych
    • R. Hanus
    • L. Petryka
    • D. Świsulski
    • A. Strzępowicz
    • P. Zych

    - EPJ Web of Conferences - Year 2015

    The work presents selected methods of signal analysis used in the processing of data obtained from radiometric probes. The used data came from an exemplary study of a two-phase liquid-gas flow at the laboratory installation. In such rigs many possible transport types may be observed, i.e. slug, plug and bubble flow, and each of them gives different signal-to-noise ratio of recorded data. Therefore, available radiometric methods...

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  • Harmony Search for Self-configuration of Fault–Tolerant and Intelligent Grids

    Publication

    - Year 2016

    In this paper, harmony search algorithms have been proposed to self-configuration of fault-tolerant grids for big data processing. Self-configuration of computer grids lies in the fact that new computer nodes are automatically configured by software agents and then integrated into the grid. A base node works due to several configuration parameters that define some aspects of data communications and energy power consumption. We...

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  • VISUALIZATION OF SCANTER AND ARPA RADAR DATA IN THE DISTRIBUTED TELEINFORMATION SYSTEM FOR THE BORDER GUARD

    Monitoring of country maritime border is an important task of the Border Guard. This activity can be enhanced with the use of the technology enabling gathering information from distributed sources, processing of that information and its visualization. The paper presents the next stage of development of the STRADAR project (Streaming of real-time data transmission in distributed dispatching and teleinformation systems of the Border...

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  • Application of Web-GIS for Dissemination and 3D Visualization of Large-Volume LiDAR Data

    Publication

    - Year 2016

    The increasing number of digital data sources, which allow for semi-automatic collection and storage of information regarding various aspects of life has recently granted a considerable rise in popularity to the term “Big data”. As far as geospatial data is concerned, one of the major sources of Big data are Light Detection And Ranging (LiDAR) scanners, which produce high resolution three-dimensional data on a local scale. The...

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  • Architecture and Basic Assumptions of RSMAD

    The study presents the architecture of Radio System for Monitoring and Acquisition of Data from Traffic Enforcement Cameras (in short RSMAD) which is used for transmission (realized using GSM, UMTS or TETRA networks, and through the Internet network), archiving and exploring image data of traffic offenses. The paper also presents selected basic assumptions of the RSMAD system, which are relevant to the implemented by the system...

  • BIG DATA SIGNIFICANCE IN REMOTE MEDICAL DIAGNOSTICS BASED ON DEEP LEARNING TECHNIQUES

    In this paper we discuss the evaluation of neural networks in accordance with medical image classification and analysis. We also summarize the existing databases with images which could be used for training deep models that can be later utilized in remote home-based health care systems. In particular, we propose methods for remote video-based estimation of patient vital signs and other health-related parameters. Additionally, potential...

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  • Employing economical methods for pavement defects estimation

    It is a common practise that measurements of road surface conditions are made using professional and expensive apparatus. Typically a van or a truck equipped with a set of professional sensors i.e. laser scanners of surface is used, therefore the measurement update period is often quite long. Two alternative low-cost methods for estimating road pavement defects and failures were proposed and investigated by the authors. The first...

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  • MEAN SHIFT BASED SEGMENTATION FOR BLEEDING REGIONS IN ENDOSCOPIC VIDEOS

    Publication

    With a set of 38 manually marked bleeding regions form endoscopic videos, the authors attempted to find an optimal image segmentation method for reproducing doctor’s markup. Mean shift segmentation combined with HSV histogram segmentation were used as a segmentation method, which was then optimized by tuning the parameters of the method using global optimization algorithm. A target function for measuring the quality of segmentation was...

  • Knowledge representation of motor activity of patients with Parkinson’s disease

    An approach to the knowledge representation extraction from biomedical signals analysis concerning motor activity of Parkinson disease patients is proposed in this paper. This is done utilizing accelerometers attached to their body as well as exploiting video image of their hand movements. Experiments are carried out employing artificial neural networks and support vector machine to the recognition of characteristic motor activity...

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  • New trends in a development of the contemporary lighting forms within the urban environment

    Publication

    This paper presents selected issues on the design of urban lighting forms including street luminaires within the urban environment. The purpose of this paper is to show the evolution of urban lighting forms, in terms of their performance, character, and in the context of the progression of new lighting technologies. The authors discuss chosen aspects related to the development of lighting forms and the changing role of lighting...

  • Comprehensive analysis of low-temperature methods for reclaiming of ground tire rubber

    Publication

    - Year 2022

    Management of waste tires has become an important topic for decades. The lack of an effective method to manage the materials as mentioned above leads to illegal landfills. This problematic waste can be divided into two main categories depending on the physical condition of the waste: (i) partially used tires; (ii) end-of-life tires. While the first group can be reused or retreaded, the second group requires special measures to...

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  • Explainable machine learning for diffraction patterns

    Publication
    • S. Nawaz
    • V. Rahmani
    • D. Pennicard
    • S. P. R. Setty
    • B. Klaudel
    • H. Graafsma

    - Journal of Applied Crystallography - Year 2023

    Serial crystallography experiments at X-ray free-electron laser facilities produce massive amounts of data but only a fraction of these data are useful for downstream analysis. Thus, it is essential to differentiate between acceptable and unacceptable data, generally known as ‘hit’ and ‘miss’, respectively. Image classification methods from artificial intelligence, or more specifically convolutional neural networks (CNNs), classify...

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  • Estimation of Rician K-factor Values in Urban Terrain

    Publication

    - Year 2016

    This paper presents results of Rician K-factor estimation from CDMA2000 downlink signals recorded in the area of medium city. Signal and data processing methods used to estimate fading parameters are also briefly described.

  • Trees having many minimal dominating sets

    We provide an algorithm for listing all minimal dominating sets of a tree of order n in time O(1.4656^n). This leads to that every tree has at most 1.4656^n minimal dominating sets. We also give an infinite family of trees of odd and even order for which the number of minimal dominating sets exceeds 1.4167^n, thus exceeding 2^{n/2}. This establishes a lower bound on the running time of an algorithm for listing all minimal dominating...

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  • A note on mixed tree coloring

    Publication

    - INFORMATION PROCESSING LETTERS - Year 2008

    Zaproponowano liniowy algorytm dla problemu kolorowania mieszanego w drzewach, uzyskując tym samym poprawę w stosunku do algorytmu o złożoności O(n^2) podanego w pracy [P. Hansen, J. Kuplinsky, D. de Werra, Mixed graph colorings, Math. Methods Oper. Res. 45 (1997) 145-160].

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