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9th International Conference on Image Processing and Communications, IP and C 2017

作者： Luchter-Boba, Malgorzata Lukasik, Piotr Piórkowski, Adam Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology A. Mickiewicza 30 Av. Cracow30-059 Poland

ISBN: (纸本)9783319687193

Digital image processing is a field with broad applications. The development of technology has made it possible to introduce intelligent systems in distinctive areas such as medicine, robotics and astronomy. In this paper, the authors focus on indexing algorithms (also called labeling). Numerous studies have considered the various ways of implementing parallelization and the associated benefits. The indexing process involves assigning the same label to pixels of the same object. For the purpose of this study, a few algorithms proposed by Suzuki et al., Soh et al. and the method described by Tadeusiewicz and Korohoda were implemented. In order to parallelize the algorithms, the indexing algorithm of Niknam et al. was used and a method of partial parallelization was proposed. © 2018, Springer International Publishing AG.

关键词： Image processing

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Modelling hydraulic mixture movement along the extraction chamber bottom in case of hydraulic washout of the tuff-stone 14

Modelling hydraulic mixture movement along the extraction ch...

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14th International Research and Practice Conference on Ukrainian School of Mining Engineering, USME 2020

作者： Malanchuk, Zinovii Moshynskyi, Viktor Martyniuk, Petro Stets, Sergii Galiyev, Daniyar National University of Water Management and Nature Resources Use Department of Development of Deposits and Mining 11 Soborna St. Rivne33028 Ukraine National University of Water Management and Nature Resources Use Department of Land Cadastre Land Monitoring and Geoinformatics 11 Soborna St. Rivne33028 Ukraine National University of Water Management and Nature Resources Use Department of Computer Science and Applied Mathematics 11 Soborna St. Rivne33028 Ukraine National University of Water Management and Nature Resources Use Institute of Postgraduate Education 11 24 Serpnia St. Rivne33000 Ukraine Institute of Mining Named after D.A. Kunaev Laboratory of Computer-Aided Design 191 Abai Ave. Almaty050046 Kazakhstan

This paper presents the research results of the pulp movement process along the extraction chamber bottom to the suction pipe of the pulp lifting device in case of downhole hydraulic mining the volcanic tuff-stone. The washout process and hydraulically operated transportation of the tuff-stone hydraulic mixture, when forming the extraction chamber, have been studied under various conditions and methods of exposure. As a result, the dominant parameters have been determined influencing the hydrodynamic washout technology as well as tuff-stone hydraulic mixture lifting to the alluviation map. The dependences have been substantiated of the washout process performance and transportation capacity of the hydraulic mixture flow on the determined parameters. To calculate the process of pulp flow-over along the extraction chamber bottom to the intaking hydraulic elevator headwall, the systems of equations have been determined based on the modelling the movement of tuff-stone hydraulic mixture along the extraction chamber bottom during hydraulic washout. The dependences of the contact strength of the tuff-stone samples mined by downhole method on the time spent in water are presented, resulting in determination of the tuff-stone weakening coefficient and the degree of its saturation with water. © The Authors, published by EDP sciences 2020.

关键词： Extraction

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Comprehensive Approach for Porous Materials Analysis Using a Dedicated Preprocessing Tool for Mass and Heat Transfer Modeling

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Journal of Thermal science 2018年第5期27卷 479-486页

作者： MADEJSKI Pawel KRAKOWSKA Paulina HABRAT Magdalena PUSKARCZYK Edyta JEDRYCHOWSKI Mariusz Department of Power Systems and Environmental Protection Facilities Faculty of Mechanical Engineering and Ro-botics AGH University of Science and TechnologyKraków 30-059 Poland Department of Geophysics Faculty of Geology Geophysics and Environmental Protection AGH University of Sci-ence and Technology Kraków 30-059 Poland Department of Geoinformatics and Applied Computer Science Faculty of Geology Geophysics and Environmental Protection AGH University of Science and TechnologyKraków 30-059 Poland Department of Condensed Matter Physics Faculty of Physics and Applied Computer Science AGH University of Science and TechnologyKraków 30-059 Poland

The paper presents a comprehensive, newly developed software – poROSE(poROus materials examination SoftwarE) for the qualitative and quantitative assessment of porous materials and analysis methodologies developed by the authors as a solution for emerging challenges. A low porosity rock sample was analyzed and thanks to the developed and implemented methodologies in poROSE software, the main geometrical properties were calculated. A tool was also used in preprocessing part of the computational analysis to prepare a geometrical representation of the porous material. The basic functions as elimination of blind pores in the geometrical model were completed and the geometrical model was exported for CFD software. As a result, it was possible to carry out calculations of the basic properties of the analyzed porous material sample. The developed tool allows to carry out quantitative and qualitative analysis to determine the most important properties characterized porous materials. In presented tool the input data can be images from X-ray computed tomography(CT), scanning electron microscope(SEM) or focused ion beam with scanning electron microscope(FIB-SEM) in grey level. A geometric model developed in the proper format can be used as an input to modeling mass, momentum and heat transfer, as well as, in strength or thermo-strength analysis of any porous materials. In this example, thermal analysis was carried out on the skeleton of rock sample. Moreover, thermal conductivity was estimated using empirical equations.

关键词： porous materials rock software thermal properties preprocessing

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Opportunities and challenges for monitoring terrestrial biodiversity in the robotics age

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Nature Ecology and Evolution 2025年第6期9卷 1031-1042页

作者： Pringle, Stephen Dallimer, Martin Goddard, Mark A. Le Goff, Léni K. Hart, Emma Langdale, Simon J. Fisher, Jessica C. Abad, Sara-Adela Ancrenaz, Marc Angeoletto, Fabio Auat Cheein, Fernando Austen, Gail E. Bailey, Joseph J. Baldock, Katherine C. R. Banin, Lindsay F. Banks-Leite, Cristina Barau, Aliyu S. Bashyal, Reshu Bates, Adam J. Bicknell, Jake E. Bielby, Jon Bosilj, Petra Bush, Emma R. Butler, Simon J. Carpenter, Dan Clements, Christopher F. Cully, Antoine Davies, Kendi F. Deere, Nicolas J. Dodd, Michael Drinkwater, Rosie Driscoll, Don A. Dutilleux, Guillaume Dyrmann, Mads Edwards, David P. Farhadinia, Mohammad S. Faruk, Aisyah Field, Richard Fletcher, Robert J. Foster, Chris W. Fox, Richard Francksen, Richard M. Franco, Aldina M. A. Gainsbury, Alison M. Gardner, Charlie J. Giorgi, Ioanna Griffiths, Richard A. Hamaza, Salua Hanheide, Marc Hayward, Matt W. Hedblom, Marcus Helgason, Thorunn Heon, Sui P. Hughes, Kevin A. Hunt, Edmund R. Ingram, Daniel J. Jackson-Mills, George Jowett, Kelly Keitt, Timothy H. Kloepper, Laura N. Kramer-Schadt, Stephanie Labisko, Jim Labrosse, Frédéric Lawson, Jenna Lecomte, Nicolas de Lima, Ricardo F. Littlewood, Nick A. Marshall, Harry H. Masala, Giovanni L. Maskell, Lindsay C. Matechou, Eleni Mazzolai, Barbara McConnell, Alistair Melbourne, Brett A. Miriyev, Aslan Nana, Eric Djomo Ossola, Alessandro Papworth, Sarah Parr, Catherine L. Payo-Payo, Ana Perry, Gad Pettorelli, Nathalie Pillay, Rajeev Potts, Simon G. Prendergast-Miller, Miranda T. Qie, Lan Rolley-Parnell, Persie Rossiter, Stephen J. Rowcliffe, Marcus Rumble, Heather Sadler, Jon P. Sandom, Christopher J. Sanyal, Asiem Schrodt, Franziska Sethi, Sarab S. Shabrani, Adi Siddall, Robert Smith, Simón C. Snep, Robbert P. H. Soulsbury, Carl D. Stanley, Margaret C. Stephens, Philip A. Stephenson, P.J. Struebig, Matthew J. Studley, Matthew Svátek, Martin Tang, Gilbert Taylor, Nicholas K. Umbers, Kate D. L. Ward, Robert J. White, Patrick J. C. Whittingham, Mark J. Wich, Serge Williams, Christopher D. Yakubu, Ibrahim B. Yoh, Natalie Durrell Institute of Conservation and Ecology (DICE) School of Natural Sciences University of Kent Canterbury United Kingdom Centre for Environmental Policy Imperial College London London United Kingdom Department of Geography and Environmental Sciences Northumbria University Newcastle upon Tyne United Kingdom School of Computing Engineering and the Built Environment Edinburgh Napier University Edinburgh United Kingdom Synthotech Ltd Milner Court Hornbeam Square Harrogate United Kingdom Mechanical Engineering Department University College London London United Kingdom HUTAN SWD Kota Kinabalu Malaysia Programa de Pós-Graduação em Gestão e Tecnologia Ambiental da Universidade Federal de Rondonópolis Rondonópolis Brazil Department of Engineering Harper Adams University Newport United Kingdom Applied Ecology Research Group School of Life Sciences Anglia Ruskin University Cambridge United Kingdom Centre for Ecology and Hydrology Penicuik United Kingdom Department of Life Sciences Imperial College London Silwood Park Campus Ascot United Kingdom Department of Urban and Regional Planning Faculty of Earth and Environmental Sciences Bayero University Kano Nigeria Greenhood Nepal Kathmandu Nepal Animal Rural & Environmental Sciences Nottingham Trent University Nottinghamshire United Kingdom School of Biological and Environmental Sciences Liverpool John Moores University Liverpool United Kingdom Lincoln Centre for Autonomous Systems University of Lincoln Lincoln United Kingdom Royal Botanic Garden Edinburgh Edinburgh United Kingdom School of Biological Sciences University of East Anglia Norwich Research Park Norwich United Kingdom Digital Ecology Limited Bristol United Kingdom School of Biological Sciences University of Bristol Bristol United Kingdom Department of Computing Imperial College London London United Kingdom Department of Ecology and Evolutionary Biology University of Colorado Boulder CO United States Faculty of Science Technology Engineering

With biodiversity loss escalating globally, a step change is needed in our capacity to accurately monitor species populations across ecosystems. Robotic and autonomous systems (RAS) offer technological solutions that may substantially advance terrestrial biodiversity monitoring, but this potential is yet to be considered systematically. We used a modified Delphi technique to synthesize knowledge from 98 biodiversity experts and 31 RAS experts, who identified the major methodological barriers that currently hinder monitoring, and explored the opportunities and challenges that RAS offer in overcoming these barriers. Biodiversity experts identified four barrier categories: site access, species and individual identification, data handling and storage, and power and network availability. Robotics experts highlighted technologies that could overcome these barriers and identified the developments needed to facilitate RAS-based autonomous biodiversity monitoring. Some existing RAS could be optimized relatively easily to survey species but would require development to be suitable for monitoring of more ‘difficult’ taxa and robust enough to work under uncontrolled conditions within ecosystems. Other nascent technologies (for instance, new sensors and biodegradable robots) need accelerated research. Overall, it was felt that RAS could lead to major progress in monitoring of terrestrial biodiversity by supplementing rather than supplanting existing methods. Transdisciplinarity needs to be fostered between biodiversity and RAS experts so that future ideas and technologies can be codeveloped effectively. © The Author(s) 2025.

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Algorithm for Automatic Path Routing in Mountain Areas

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IOP Conference Series. Earth and Environmental science 2019年第1期221卷 012081-012081页

作者： Adamek, Katarzyna Lupa, Michal Sarlej, Wojciech AGH University of Science and Technology Department of Geoinformatics and Applied Computer Science al. Mickiewicza 30 30-059 Krakow Poland

The main purpose of the research is to achieve a fully automated technique for calculation of new trails in the mountain areas. The main idea is to provide the user with a possibility to move around the area regardless of the existing routes, which can make the user independent of using trails. Such a concept is nowadays getting a lot of attention due to the growing need for revitalisation and enabling new areas to be used for tourism and educational purposes. Moreover, the proposed solution can become a useful tool for emergency services, foresters or park employees. The main project assumption was to create a tool able to find a new path between two locations given a set of input parameters provided by the user. The new path had to be distinct from any existing paths in the area. The algorithm was designed to be a solution for path routing in poorly recognised areas or within big acreage as it can take a long time to explore the area in enough detail manually create a plan of the new path. The result of the project is the new ArcMap toolbox, built with a help of spatial analysis tools of the ArcGIS platform. The project uses GIS methods, taking advantage of remote sensing, spatial analyses and Python scripting. This makes it possible to create an automatic tool that is able to process various data in a relatively short time (comparing to manual work on planning new paths). As the end result algorithm generates a map with least cost path, which after conversion to GPX file is ready to use with supporting devices, e.g. smartphones. The project has been verified in the surroundings of Gorczański National Park in southern Poland. Performed tests allowed to find optimal settings and proved that an algorithm works correctly.

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Mapping the economic data - Case studies and best practices 17

Mapping the economic data - Case studies and best practices

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17th International Multidisciplinary Scientific GeoConference, SGEM 2017

作者： Paszto, Vit Burian, Jaroslav Panek, Jirí Macku, Karel Department of Geoinformatics Faculty of Science Palacký University Olomouc Czech Republic Department of Computer Science and Applied Mathematics Moravian University College Olomouc Czech Republic Department of Development and Environmental Studies Faculty of Science Palacký University Olomouc Czech Republic

ISBN: (纸本)9786197408263

Economists usually apply quantitative methods for analysing economic data. Most of this data has a connection to a particular place or space. In geography, the location plays a crucial role, and together with attributes of such location it represents geospatial data. Collaborative work of economists and geographers (geoinformaticians) offer great opportunities in geospatial-economic data analysis and visualisation. Joining two relatively distinct disciplines brings added value for both economy and geography. In other words, mapping the economic data opens new perspectives for (geo)data knowledge discovery. In this paper, we present case studies and best practices in the field of economic data analysis and visualisation. The first case study covers analysis of financial performance of medium and small enterprises in one region of the Czechia. The second case study is dealing with innovation activities of enterprises in the Czechia. As the third case study, analysis of the development of land price maps in Olomouc city is introduced. All these case studies show a broad range of potential benefits from combination geospatial and economic data. © SGEM2017. All rights reserved.

关键词： Data visualization

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Selection of Optimal Gridded Dataset for Application in Polish Sudetes Mountains

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IOP Conference Series: Earth and Environmental science 2019年第1期221卷

作者： Monika Chuchro Malgorzata Danek AGH University of Science and Technology Department of Geoinformatics and Applied Computer Sciences Mickiewicza 30 Av. 30-059 Krakow Poland AGH University of Science and Technology Department of Environmental Analysis Mapping and Economic Geology Mickiewicza 30 Av. 30-059 Krakow Poland

High quality measured weather data (MWD) are limited or not available for many areas. Also their time coverage can be relatively short. That is why the use of gridded climatic data (GCD) in environmental studies is very popular. However, GCD are valuable source of information, their accuracy can be sometimes insufficient for particular study. That is why GCD applicability should be checked before the study run. The objective of this study was to check the applicability of gridded data for dendroclimatological studies of larch from Sudetes Mountains. To do so we compared GCD with available MWD from several weather stations located in the mentioned area. Because many gridded time-series datasets are available, we also wanted to check which dataset is the best to use for the mentioned area. In the analysis high-resolution gridded data on monthly mean temperature and total precipitation, which cover the common period 1901-2013, in 0.5° x 0.5° network, created by: - Center for Climatic Research Department of Geography University of Delaware Newark (UD; model V4.01 for precipitation and temperature data), - Global Precipitation Climatology Centre Deutscher Wetterdienst (GPCC; model V7 for precipitation data) - Climate Research Unit, University of East Anglia (CRU; model CRU TS v.4.01 for precipitation and temperature data) were used. The available MWD data from several weather stations started in 1951, 1956 and 1957. The common period for the analysis covered years 1951('56 or '57) - 2013. For a given precipitation and temperature data the agreement and biases between GCDs and MWDs were assessed with the absolute mean error (ME) and root mean square error (RMSPE), L1- norm and Pearson correlation coefficient. Finally, linear regression analysis was performed to detect biases in the relationship between GCD and MWD, and the coefficient of determination (R2) was also calculated. GCD for precipitation show high similarity to MWD. Mean Pearson correlation coefficient values e

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Temporal Variations in Tree-Ring Growth Response to Climate of European Larch (Larix Decidua Mill.): An Example from Sudetes, Poland

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IOP Conference Series: Earth and Environmental science 2019年第1期221卷

作者： Małgorzata Danek Monika Chuchro AGH University of Science and Technology Department of Environmental Analysis Mapping and Economic Geology Mickiewicza 30 Av. 30-059 Krakow Poland AGH University of Science and Technology Department of Geoinformatics and Applied Computer Sciences Mickiewicza 30 Av. 30-059 Krakow Poland

The temporal stability of climate-growth relationship is a basic assumption and requirement of climate reconstruction using tree rings. However, many recent studies showed change in tree-ring growth response to climate for the last decades. The temporal stability of relationship mentioned above can depend on the local factors, e.g. slope aspect. In presented study the tree-ring growth response to climate of larch from Polish part of Sudetes was analysed over time. The aim was to investigate its temporal variability, existence of trends and influence of local factors. The relation between tree-ring growth of larches from six sites located at comparable altitudes (about 700-750 m.a.s.l.) and climatic factors that mainly control the tree-ring growth of larches in the study area was analysed over time. The Pearson correlation between tree-ring width site chronologies and climatic data for the study area (the average monthly air temperature and total monthly precipitation series from high-resolution gridded dataset CRU TS v.4.01) was calculated in 40-years moving windows for the period 1901-2010. The results showed variations in the tree-ring growth response to climate over the analysed time period. Although in general, similar trends were observed for all sites, some differences in trends and magnitudes among sites were also spotted. Interesting is, that the response of sites became more consistent and similar for the last decades. The discussion of the received results with respect to currently observed climatic trends in the region and local factors that can explain the differences in response between particular sites is presented.

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On pareto joint inversion of guided waves

arXiv

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arXiv 2017年

作者： Bogacz, Adrian Dalton, David R. Danek, Tomasz Miernik, Katarzyna Slawinski, Michael A. Department of Geoinformatics and Applied Computer Science AGH University of Science and Technology Kraków Poland Department of Earth Sciences Memorial University of Newfoundland

We use the Pareto Joint Inversion, together with the Particle Swarm Optimization, to invert the Love and quasi-Rayleigh surface-wave speeds, obtained from dispersion curves, in order to infer the elasticity parameters, mass densities and layer thickness of the model for which these curves are generated. For both waves, we use the dispersion relations derived by Dalton et al. [1]. Numerical results are presented for three angular frequencies, 15, 60 and 100 s−1 , and for two, five and seven modes, respectively. Comparisons of the model parameters with the values inverted with error-free input indicate an accurate process. If, however, we introduce a 5% error to the input, the results become significantly less accurate, which indicates that the inverse operation, even though stable, is error-sensitive. Correlations between the inverted elasticity parameters indicate that the layer parameters are more sensitive to input errors than the halfspace parameters. In agreement with Dalton et al. [1], the fundamental mode is mainly sensitive to the layer parameters whereas higher modes are sensitive to both the layer and halfspace properties;for the second mode, the results are more accurate for low frequencies. Copyright © 2017, The Authors. All rights reserved.

关键词： Guided electromagnetic wave propagation

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Proposal of an Intelligent, Predictive Fuzzy Controller for Off-Grid Devices

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IFAC-PapersOnLine 2016年第25期49卷 523-528页

作者： Bielecki, Andrzej Bielecka, Marzena Ernst, Sebastian AGH University of Science and Technology Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering Department of Applied Computer Science Kraków Poland AGH University of Science and Technology Faculty of Geology Geophysics and Environmental Protection Department of Geoinformatics and Applied Computer Science Kraków Poland

Off-grid electrical devices, such as autonomous lamps, can operate without being connected to the power grid thanks to integrated renewable-source based energy generators and storage facilities. However, they may not be able to fulfill all of the user's requirements in unfavourable conditions. Controllers currently used in off-grid devices use simplistic algorithms and strategies. This paper presents a proposal of an intelligent, fuzzy logic-based controller for off-grid devices with prediction and planning capabilities. Artificial neural networks of various types are used for prediction of generator performance, monitoring of component performance and detection of events such as partial malfunction. Fuzzy logic is used for to facilitate the definition of rules reflecting the user's preferences, and to define the internal strategies of the controller. The predicted behaviour of the power-related components is used to select the operating mode which fulfils the prioritised user's requirements to the maximum extent, while minimizing the chance of running out of power. © 2016

关键词： Fuzzy logic Artificial intelligence computer circuits Controllers Electric power transmission networks Forecasting Fuzzy control Fuzzy neural networks Neural networks Component performance Electrical devices Fuzzy logic based controller Internal strategies Off grids Planning capability Storage facilities User's preferences

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