TY - JOUR AU - Elekes, Tibor AU - Gyenizse, Péter TI - The historical Szekely Land and its present-day spatial division JF - REGIONAL STATISTICS J2 - REG STAT PY - 2024 PG - 9 SN - 2063-9538 DO - 10.15196/RS140208 UR - https://m2.mtmt.hu/api/publication/34833096 ID - 34833096 LA - English DB - MTMT ER - TY - CONF AU - Lovász, Virág AU - Halmai, Ákos ED - Kovács, Bettina ED - Glázer-Kniesz, Adrienn ED - Tislér, Ádám TI - Long Short - Term Memory in use of eliminating geometric distortions in side-scan sonar imaging T2 - Absztraktkötet: XII. Interdiszciplináris Doktorandusz Konferencia = Book of Abstract: XII. Interdisciplinary Doctoral Conference PB - Pécsi Tudományegyetem Doktorandusz Önkormányzat C1 - Pécs SN - 9789636262457 PY - 2024 SP - 125 EP - 125 PG - 1 UR - https://m2.mtmt.hu/api/publication/34831544 ID - 34831544 LA - English DB - MTMT ER - TY - JOUR AU - Kovács, István Péter AU - Ronczyk, Levente AU - Adorján, Erik AU - Keszthelyi, Ádám AU - Kovács, Dániel Márton AU - Orbán, Zoltán AU - Kertész, Botond TI - A műholdradar-interferometria alkalmazásának lehetőségei a kőbányászati szektorban. InSAR applications for quarry monitoring TS - InSAR applications for quarry monitoring JF - BÁNYÁSZATI ÉS KOHÁSZATI LAPOK (2023-) J2 - BKL VL - 157 PY - 2024 IS - 1 SP - 12 EP - 21 PG - 10 SN - 2498-9322 UR - https://m2.mtmt.hu/api/publication/34781563 ID - 34781563 LA - Hungarian DB - MTMT ER - TY - ART AU - Halmai, Ákos TI - Example code for "Paul Bourke, 1998: Determining whether or not a polygon (2D) has its vertices ordered clockwise or counter-clockwise". PY - 2023 UR - https://m2.mtmt.hu/api/publication/34571802 ID - 34571802 N1 - https://paulbourke.net/geometry/polygonmesh/AreaClockwiseConcave.txt https://paulbourke.net/geometry/polygonmesh AB - # Ákos Halmai, 2023. import math def getArea(points) -> float: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" area = 0.0 (x1, y1) = points[0] for (x2, y2) in points[1:]: area += x1 * y2 - y1 * x2 (x1, y1) = (x2, y2) return 0.5 * area def getAreaAbs(points) -> float: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" # Returns float (always): return math.fabs(getArea(points)) def getAreaPrecise(points) -> float: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" def getPartArea(points): (x1, y1) = points[0] for (x2, y2) in points[1:]: yield x1 * y2 yield -y1 * x2 (x1, y1) = (x2, y2) # Avoids loss of precision by tracking multiple # intermediate partial sums: return 0.5 * math.fsum(getPartArea(points)) def getAreaPreciseAbs(points) -> float: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" # Returns float (always): return math.fabs(getAreaPrecise(points)) def __isClockwise(*args) -> bool: """Private. Do not use it!""" (x0, y0), (x1, y1), (x2, y2), *_ = args return ((x1 - x0) * (y2 - y1) - (y1 - y0) * (x2 - x1)) > 0.0 def isClockwise(points) -> bool: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" return __isClockwise(*points) def isConcave(points) -> bool: """Expects iterable of two-element-tuples. For example: points = ((0, 0), (1, 0), (1, 1), (0, 1), (0, 0))""" (x0, y0), (x1, y1), (x2, y2), *_ = points switch = __isClockwise((x0, y0), (x1, y1), (x2, y2)) for (xn, yn) in points[3:]: if switch != __isClockwise((x1, y1), (x2, y2), (xn, yn)): return True # Delayed for performance: ((x0, y0), (x1, y1), (x2, y2)) = ((x1, y1), (x2, y2), (xn, yn)) return False DB - MTMT ER - TY - JOUR AU - Víg, Balázs AU - Varga, Gábor AU - Balogh, Richárd AU - Lóczy, Dénes AU - Nagyváradi, László AU - Fábián, Szabolcs Ákos TI - Channel-reach morphometric analysis on a headwater stream in a low-mountainous region: a case study from Mecsek Hills JF - HUNGARIAN GEOGRAPHICAL BULLETIN (2009-) J2 - HUNG GEOGR BULL (2009-) VL - 72 PY - 2023 IS - 4 SP - 365 EP - 381 PG - 17 SN - 2064-5031 DO - 10.15201/hungeobull.72.4.3 UR - https://m2.mtmt.hu/api/publication/34500547 ID - 34500547 AB - Small catchments in mountainous regions affect downstream rivers as a primary source of sediment supply and also generate flash swasfloods, especially during extreme events. These floods have significantly shaped the catchments of small streams in the Mecsek Hills and some rural areas over the past two decades. However, there has been no previous study examining the hydromorphology of headwater catchments in low mountain environments in Hungary. The present study was meant to investigate the fundamental hydrogeomorphological properties of a first-order catchment. A customary and detailed GIS survey of 50-metre sections was aimed at deciphering flash flood vulnerability and geomorphic interrelations within a micro watershed. We found moderate susceptibility to flash floods compared to the whole Mecsek Hills. Stable large woody debris jams were identified during the field survey as major geomorphic channel features functioning as natural barriers which drive channel evolution and reduce flood hazards. LA - English DB - MTMT ER - TY - JOUR AU - Pap, Norbert AU - Fodor, Pál AU - Kitanics, Máté AU - Gyenizse, Péter AU - Hancz, Erika TI - Historical and archaeological data for integrated environmental historical analyses on the moat profile of the türbe complex of Sultan Suleiman I at Szigetvár - Turbék Wineyard Hill site (Hungary) JF - ARCHEOMETRIAI MŰHELY J2 - ARCHEOMETRIAI MŰHELY VL - 20 PY - 2023 IS - 3 SP - 195 EP - 200 PG - 6 SN - 1786-271X DO - 10.55023/issn.1786-271X.2023-016 UR - https://m2.mtmt.hu/api/publication/34445353 ID - 34445353 AB - Sultan Suleiman I the Magnificent (1526–1566) died during the siege of Szigetvár in 1566 (between 1 and 2 a.m. on 7th September 1566) in his imperial tent 4.5 kilometers from the castle, on the vineyard hill of Szigetvár – Turbék, Hungary. Later, around 1575 a makam türbe (memorial mausoleum) with a mosque and a dervish lodge was built on the place of his death; the complex was protected by a palisade and surrounded by a deep moat. The layout of the complex was drawn by Count Pál Esterházy (1635–1713) (later palatine and imperial prince) in 1664, during the Winter Campaign. Part of the memorial site and the adjoining small town (Turkish name: Türbe kasabası) burnt down in 1688, most of the buildings were removed by 1691, and by 1693 only the remains of the mausoleum’s wall were left standing, which were soon pulled down. Later the area was used for agricultural purposes, with fields, orchards, gardens, and vineyards. The türbe and other associated buildings were covered with a layer of rubble from the demolition and soil. The significant site was identified in 2014 and was excavated by remote sensing, geophysical, geological, and archaeological investigations between 2015 and 2019. LA - English DB - MTMT ER - TY - JOUR AU - Ali, Z.F. AU - Khoshnaw, Dedar Salam Ahmad AU - Pirisi, Gábor AU - Kiss, Kinga TI - Assessment of air quality and consequent in Erbil, Iraqi Kurdistan region based GEE, GIS, and remote sensing techniques JF - E3S WEB OF CONFERENCES J2 - E3S WEB CONF VL - 436 PY - 2023 SN - 2555-0403 DO - 10.1051/e3sconf/202343610007 UR - https://m2.mtmt.hu/api/publication/34441365 ID - 34441365 N1 - Doctoral School of Earth Sciences, University of Pécs, Ifjúság Str 6, Pécs, H-7624, Hungary Department of Geography, Faculty of Education, Koya University, Kurdistan Region, Iraq Marcel, Breuer Doctoral School, University of Pécs, Boszorkány u. 2, Pecs, 7624, Hungary Department, of Architectural Engineering, Faculty of Engineering, Koya University, Kurdistan Region, Erbil, Iraq Department of Social Geography and Urban Planning, University of Pecs, Pecs, Hungary Department of Cartography and Geoinformatics, University of Pecs, Pecs, Hungary Export Date: 18 December 2023; Cited By: 0; Correspondence Address: Z.F. Ali; Doctoral School of Earth Sciences, University of Pécs, Pécs, Ifjúság Str 6, H-7624, Hungary; email: zana.ali@koyauniversity.org; Conference name: 4th International Conference on Environmental Design, ICED2023; Conference date: 20 October 2023 through 22 October 2023; Conference code: 193752 AB - The global peril of air quality deterioration imperils the well-being of all living beings. Erbil, like many other regions, has suffered severe environmental degradation due to urban expansion, vehicular escalation, industrialisation, and substandard fuel usage. This research employs Google Earth Engine, GIS, and Remote Sensing to scrutinise alterations in pollutants (NO2, SO2, CH4, CO, O3, UV) spanning 2018 to 2022. It also incorporates PM2.5 data from Ankawa station (Jan 14, 2023 - May 4, 2023) and land use data (2005-2022) from Modis and Sentinel 2 satellites. The findings reveal a substantial increase in the levels of various pollutants during the specified period. However, in June 2020, most of these levels experienced a decrease due to the coronavirus quarantine measures. For instance, the concentration of NO2 decreased from 0.000256 mol/m2 in 2018 to 0.000166 mol/m2 in 2020. Conversely, by June 2022, the levels had significantly risen to 0.000277 mol/m2. Moreover, among the 107 days record, PM2.5 concentrations reached unhealthy levels on 44 days, while only five exhibited healthy PM2.5 levels. Furthermore, regions at lower sea levels, like Erbil and Khabat, exhibit the highest concentrations of these gases. In contrast, areas at higher sea levels, such as Mergasur and Choman, demonstrate these pollutants’ lowest levels. © 2023 EDP Sciences. All rights reserved. LA - English DB - MTMT ER - TY - JOUR AU - Laksono, Fx Anjar Tri AU - Borzi, Laura AU - Distefano, Salvatore AU - Czirok, Lili AU - Halmai, Ákos AU - Di Stefano, Agata AU - Kovács, János TI - Shoreline change dynamics along the Augusta coast, eastern Sicily, South Italy JF - EARTH SURFACE PROCESSES AND LANDFORMS J2 - EARTH SURF PROCESS LANDF VL - 48 PY - 2023 IS - 9 SP - 1 EP - 12 PG - 12 SN - 0197-9337 DO - 10.1002/esp.5644 UR - https://m2.mtmt.hu/api/publication/34034637 ID - 34034637 N1 - Funding Agency and Grant Number: Uj Nemzeti Kivalosag Program (UNKP) [UNKP-22-3-1] Funding text: Uj Nemzeti Kivalosag Program (UNKP), Grant/Award Number: UNKP-22-3-1 LA - English DB - MTMT ER - TY - JOUR AU - Orbán, Zoltán AU - Dormány, András AU - Kovács, Dániel Márton TI - Állapotmonitoring roncsolásmentes diagnosztika és műholdradar alapú mérések alkalmazásával JF - HÍDÉPÍTŐK J2 - HÍDÉPÍTŐK VL - 50 PY - 2023 IS - 1 SP - 42 EP - 47 PG - 6 UR - https://m2.mtmt.hu/api/publication/33793773 ID - 33793773 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Lovász, Virág AU - Halász, Amadé AU - Molnár, Péter AU - Karsa, Róbert AU - Halmai, Ákos TI - Application of a CNN to the Boda Claystone Formation for high-level radioactive waste disposal JF - SCIENTIFIC REPORTS J2 - SCI REP VL - 13 PY - 2023 IS - 1 PG - 16 SN - 2045-2322 DO - 10.1038/s41598-023-31564-1 UR - https://m2.mtmt.hu/api/publication/33733477 ID - 33733477 N1 - Funding Agency and Grant Number: University of Pecs Funding text: The Public Limited Company for Radioactive Waste Management (PURAM) greatly assisted our work by providing us with core scanning logs, scanned cores, internal reports, and core documentation. Every figure and table presented in this article is based on PURAM data. We thank them for their support. We are grateful to Dr. Gyula Konrad for proofreading. We also thank Dr. Denes Loczy for improving the quality of our English translation. We thank the Doctoral School of Earth Sciences (University of Pecs) for providing the computational power necessary for the research. Open access funding was provided by the University of Pecs. Every figure was created in ArcGIS Pro (ver.: 2.8.4; Environmental System Research Inc., Redlands, CA, USA).Open access funding was provided by University of Pecs AB - Nations relying on nuclear power generation face great responsibilities when designing their firmly secured final repositories. In Hungary, the potential host rock [the Boda Claystone Formation (BCF)] of the deep geological repository is under extensive examination. To promote a deeper comprehension of potential radioactive isotope transport and ultimately synthesis for site evaluation purposes, we have efficiently tailored geospatial image processing using a convolutional neural network (CNN). We customized the CNN according to the intricate nature of the fracture geometries in the BCF, enabling the recognition process to be particularly sensitive to details and to interpret them in the correct tectonic context. Furthermore, we set the highest processing scale standards to measure the performance of our model, and the testing circumstances intentionally involved various technological and geological hindrances. Our presented model reached ~ 0.85 precision, ~ 0.89 recall, an ~ 0.87 F1 score, and a ~ 2° mean error regarding dip value extraction. With the combination of a CNN and geospatial methodology, we present the description, performance, and limits of a fully automated workflow for extracting BCF fractures and their dipping data from scanned cores. LA - English DB - MTMT ER -