TY - JOUR AU - Chala, Tamrat Delessa AU - Kóczy, László T. TI - Intelligent Fuzzy Traffic Signal Control System for Complex Intersections Using Fuzzy Rule Base Reduction JF - SYMMETRY (BASEL) J2 - SYMMETRY-BASEL VL - 16 PY - 2024 IS - 9 SP - 1177 SN - 2073-8994 DO - 10.3390/sym16091177 UR - https://m2.mtmt.hu/api/publication/35231037 ID - 35231037 AB - In this study, the concept of symmetry is employed to implement an intelligent fuzzy traffic signal control system for complex intersections. This approach suggests that the implementation of reduced fuzzy rules through the reduction method, without compromising the performance of the original fuzzy rule base, constitutes a symmetrical approach. In recent decades, urban and city traffic congestion has become a significant issue because of the time lost as a result of heavy traffic, which negatively affects economic productivity and efficiency and leads to energy loss, and also because of the heavy environmental pollution effect. In addition, traffic congestion prevents an immediate response by the ambulance, police, and fire brigades to urgent events. To mitigate these problems, a three-stage intelligent and flexible fuzzy traffic control system for complex intersections, using a novel hybrid reduction approach was proposed. The three-stage fuzzy traffic control system performs four primary functions. The first stage prioritizes emergency car(s) and identifies the degree of urgency of the traffic conditions in the red-light phase. The second stage guarantees a fair distribution of green-light durations even for periods of extremely unbalanced traffic with long vehicle queues in certain directions and, especially, when heavy traffic is loaded for an extended period in one direction and the short vehicle queues in the conflicting directions require passing in a reasonable time. The third stage adjusts the green-light time to the traffic conditions, to the appearance of one or more emergency car(s), and to the overall waiting times of the other vehicles by using a fuzzy inference engine. The original complete fuzzy rule base set up by listing all possible input combinations was reduced using a novel hybrid reduction algorithm for fuzzy rule bases, which resulted in a significant reduction of the original base, namely, by 72.1%. The proposed novel approach, including the model and the hybrid reduction algorithm, were implemented and simulated using Python 3.9 and SUMO (version 1.14.1). Subsequently, the obtained fuzzy rule system was compared in terms of running time and efficiency with a traffic control system using the original fuzzy rules. The results showed that the reduced fuzzy rule base had better results in terms of the average waiting time, calculated fuel consumption, and CO2 emission. Furthermore, the fuzzy traffic control system with reduced fuzzy rules performed better as it required less execution time and thus lower computational costs. Summarizing the above results, it may be stated that this new approach to intersection traffic light control is a practical solution for managing complex traffic conditions at lower computational costs. LA - English DB - MTMT ER - TY - JOUR AU - Drozgyik, András AU - Szabó, Tamás AU - Kovács, György AU - Kollár, Dániel AU - Molnár, F. Tamás TI - A New Approach to Breast Specimen Orientation : Avoiding Pitfalls with the Specimen Plate Concept JF - CURRENT ONCOLOGY (TORONTO) J2 - CURR ONCOL VL - 31 PY - 2024 IS - 8 SP - 4589 EP - 4598 PG - 10 SN - 1198-0052 DO - 10.3390/curroncol31080342 UR - https://m2.mtmt.hu/api/publication/35199247 ID - 35199247 N1 - Department of Burns and Plastic Surgery, Petz Aladár University Teaching Hospital, Győr, 9024, Hungary Doctoral School of Clinical Sciences, University of Pécs Medical School, Pécs, 7624, Hungary Department of Pathology, Petz Aladár University Teaching Hospital, Győr, 9024, Hungary Multidisciplinary Doctoral School of Engineering Sciences, Széchenyi István University, Győr, 9026, Hungary Kirurgkliniken, Värnamo Sjukhus, Värnamo, 331 56, Sweden Department of Operational Medicine, University of Pécs Medical School, Pécs, 7624, Hungary Export Date: 18 September 2024 CODEN: CUONF Correspondence Address: Drozgyik, A.; Department of Burns and Plastic Surgery, Hungary; email: drozgyika@gmail.com AB - Accurate specimen marking is crucial during breast cancer surgery to avoid misorientation, which can lead to inadequate re-excision and tumor recurrence. We studied the marking methods at various breast cancer centers to create a tool that would prevent specimen misorientation. An online questionnaire was used to survey marking procedures at major breast cancer centers in Hungary, and a tool was developed using a troubleshooting method. Twelve out of twenty units responded (60%). Nine use an institutionally standardized marking system. Less than half of the surgical teams found specimen mammograms to be unambiguous. In more than 70% of departments, pathologists were uncertain about breast specimen orientation. Ambiguous marking methods caused orientation errors in half of the cases, while unclear marking directions caused the rest. Most pathologists (85%) and surgeons (75%) believed that coronal plane specimen mammography would help solve the problem. A plastic specimen plate has been developed to anchor breast tissue to a coronal breast scheme as seen in mammography images, providing clear localization information throughout the surgical process. There is a lack of standardization in breast specimen orientation and marking in Hungary. An optimized orientation toolkit is being developed to ensure consistent interpretation of specimen mammograms by surgeons and pathologists. LA - English DB - MTMT ER - TY - CHAP AU - Sedaghat, Mahdi AU - Shafaie, Vahid TI - Soil erosion monitoring using the perpendicular soil moisture index as a remote sensing index (case study: Salehiya Wetland, Iran) T2 - Advanced Tools for Studying Soil Erosion Processes PB - Elsevier SN - 9780443222627 PY - 2024 SP - 527 EP - 542 PG - 16 DO - 10.1016/B978-0-443-22262-7.00022-9 UR - https://m2.mtmt.hu/api/publication/35188411 ID - 35188411 LA - English DB - MTMT ER - TY - CHAP AU - Sepehr, Adel AU - Shafaie, Vahid AU - Kariminejad, Narges AU - Rashti, Mehran Rezaei TI - Soil pipe pattern dynamics and illustration of the erosional landforms from a geomorphological perspective T2 - Advanced Tools for Studying Soil Erosion Processes PB - Elsevier SN - 9780443222627 PY - 2024 SP - 59 EP - 72 PG - 14 DO - 10.1016/B978-0-443-22262-7.00007-2 UR - https://m2.mtmt.hu/api/publication/35188409 ID - 35188409 LA - English DB - MTMT ER - TY - CHAP AU - Loveimi, Mohammad Reza AU - Rezaei, Mahrooz AU - Mina, Monireh AU - Shafaie, Vahid AU - Kariminejad, Narges AU - Riksen, Michel J.P.M. TI - Land subsidence modeling and mapping in Darab region, Iran T2 - Advanced Tools for Studying Soil Erosion Processes PB - Elsevier SN - 9780443222627 PY - 2024 SP - 275 EP - 294 PG - 20 DO - 10.1016/B978-0-443-22262-7.00011-4 UR - https://m2.mtmt.hu/api/publication/35188406 ID - 35188406 LA - English DB - MTMT ER - TY - CHAP AU - Sepehr, Adel AU - Shafaie, Vahid AU - Kariminejad, Narges AU - Rashti, Mehran Rezaei TI - Susceptibility mapping for land subsidence and collapsed pipes in north-east Iran T2 - Advanced Tools for Studying Soil Erosion Processes PB - Elsevier SN - 9780443222627 PY - 2024 SP - 579 EP - 594 PG - 16 DO - 10.1016/B978-0-443-22262-7.00010-2 UR - https://m2.mtmt.hu/api/publication/35188398 ID - 35188398 LA - English DB - MTMT ER - TY - CHAP AU - Kariminejad, Narges AU - Biglarfadafan, Mostafa AU - Kumar, Vipin AU - Jamir, Imlirenla AU - Shafaie, Vahid AU - Pourghasemi, Hamid Reza TI - Review of multihazards research with the basis of soil erosion T2 - Advanced Tools for Studying Soil Erosion Processes PB - Elsevier SN - 9780443222627 PY - 2024 SP - 295 EP - 306 PG - 12 DO - 10.1016/B978-0-443-22262-7.00014-X UR - https://m2.mtmt.hu/api/publication/35188390 ID - 35188390 LA - English DB - MTMT ER - TY - JOUR AU - Kiss , Kristóf Levente AU - Orosz, Tamás TI - Modellrendcsökkentési módszerek villamos gépek modellezése során JF - ELEKTROTECHNIKA J2 - ELEKTROTECHNIKA VL - 2024-5-6 PY - 2024 SP - 28 EP - 32 PG - 5 SN - 0367-0708 UR - https://m2.mtmt.hu/api/publication/35186337 ID - 35186337 AB - A tanulmány modellrendcsökkentési (MOR) módszerek villamos gépek modellezésében való alkalmazását tekinti át, a valós idejű modellezés lehetőségének szempontjait vizsgálva. Elemzi a magnetosztatikus terek számítására használt MOR technikákat, mint például a rendezett ortogonális dekompozíció (POD) és annak kiterjesztése nemlineáris esetekre elemenkénti linearizációval (PWL) és diszkrét empirikus interpolációval (DEIM). Bemutatja az ortogonális interpolációt (OIM), valamint részletesebben egy újszerű megközelítést, a Cauer-létrahálózatot (CLN), ami túlmutat a magnetosztatikus vizsgálaton és gyors időtartománybeli vizsgálatot, indukciós gépek csökkentett rendű modellezését teszi lehetővé. A tanulmány kiemeli, hogy a nemlineáris MOR-technikák akár 1-2 nagyságrendnyi gyorsítást is elérhetnek a számításokban alacsony hiba mellett, ami tervezési és optimálási feladatokban jelentős gyorsulást eredményez. Annak ellenére, hogy a vizsgált források szerint a leírt módszereket még nem alkalmazták valós idejű modellezésre, az OIM és a CLN módszerek ígéretesnek tűnnek e célra. A tanulmány hangsúlyozza a további kutatás és fejlesztés szükségességét a MOR-technikák online alkalmazásának előmozdítása érdekében. LA - Hungarian DB - MTMT ER - TY - BOOK AU - Boali, Abdolhossein AU - Kariminejad, Narges AU - Hosseinalizadeh, Mohsen AU - Shafaie, Vahid AU - Movahedi Rad, Majid AU - Pourghasemi, Hamid Reza TI - Analysis of early warning signal of land degradation risk based on time series of remote sensing data PY - 2024 SP - 8 DO - 10.1051/bioconf/202412501011 UR - https://m2.mtmt.hu/api/publication/35181359 ID - 35181359 AB - This study explores the spatio-temporal dynamics of the Normalized Difference Vegetation Index (NDVI) to detect early signs of land degradation. Utilizing high-resolution NDVI data from the Google Earth Engine, spanning from 2004 to 2023 with a 30-meter resolution, this research analyzes monthly variations. To illustrate these dynamics, the study focuses on Sabzevar County, located in northeastern Iran, which extends over 7,217 km²and is approximately 220 kilometers distant from Mashhad. Validation of the NDVI data was performed using field observations from strategically located vegetation plots. One square meter plots were systematically established along 100-meter transects (10 transects in total), where the vegetation coverage in each plot was quantitatively assessed by experts. Comprehensive statistical analysis incorporated Kendall’s tie test, alongside measurements of autocorrelation, coefficient of variation, and standard deviation, using R software to assess the trends and intensities of NDVI changes. The findings revealed a critical breakpoint in 2020, with increases in all three statistical indices— autocorrelation 0.82, coefficient of variation 0.65, and standard deviation 0.58—indicative of accelerating degradation prior to this year. Furthermore, the intensity of NDVI changes varied significantly across the study area, ranging from 0.05 in central and northern regions to 0.76 in the western parts. This research underscores the value of integrating field data with remote sensing technology to provide a robust analytical tool for early detection of land degradation. This method enables precise, timely assessment and proactive management of vulnerable ecosystems, particularly in arid regions. LA - English DB - MTMT ER - TY - BOOK AU - Kariminejad, Narges AU - Shafaie, Vahid AU - Movahedi Rad, Majid TI - Assessment of soil erosion through spatial analyzing of soil properties using statistical-based functions PY - 2024 SP - 6 DO - 10.1051/bioconf/202412501008 UR - https://m2.mtmt.hu/api/publication/35181292 ID - 35181292 AB - The significant geomorphological hazard of collapsed cavities (CC) causes notable environmental transformations. To address this issue, the pipe collapse pattern was examined using two statistical methods, the Density Correlation Function (DCF) and the Mark Coloration Function (MCF). Key predictor variables like organic carbon (OC), sodium adsorption ratio (SAR), and exchangeable sodium percentage (ESP) were utilized to comprehend their impact on spatial distribution over time. The study was found that lower OC levels increase susceptibility to CC, while higher SAR and ESP amounts enhance the potential for collapsed cavities. The methodology and discoveries of this research can offer valuable insights for land managers, stakeholders, and researchers. LA - English DB - MTMT ER -