TY - JOUR AU - Benkő, Gergely AU - Baranya, Sándor AU - Török, Gergely Tihamér AU - Molnár, Bence TI - Folyami mederanyag szemösszetételének vizsgálata Mély Tanulás eljárással drónfelvételek alapján JF - HIDROLÓGIAI KÖZLÖNY J2 - HIDROL KOZL VL - 100 PY - 2020 IS - 1 SP - 61 EP - 69 PG - 9 SN - 0018-1323 UR - https://m2.mtmt.hu/api/publication/31199836 ID - 31199836 LA - Hungarian DB - MTMT ER - TY - CONF AU - Gergely, Benkő AU - Baranya, Sándor AU - Török, Gergely Tihamér AU - Molnár, Bence AU - Ermilov, Alexander Anatol TI - Analysis of river bed material composition with Deep Learning based on drone video footages T2 - Geophysical Research Abstracts PY - 2019 UR - https://m2.mtmt.hu/api/publication/31010570 ID - 31010570 LA - English DB - MTMT ER - TY - JOUR AU - Paulik, Dániel AU - Tóth, Márton Tamás AU - Molnár, Bence AU - Neuberger, Hajnalka AU - Horváth, László TI - Mérnökfotogrammetriai támogatás a tartószerkezetek vizsgálatához JF - GEODÉZIA ÉS KARTOGRÁFIA J2 - GEODÉZIA ÉS KARTOGRÁFIA VL - 70 PY - 2018 IS - 2 SP - 15 EP - 20 PG - 5 SN - 0016-7118 DO - 10.30921/GK.70.2018.2.2 UR - https://m2.mtmt.hu/api/publication/3326344 ID - 3326344 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Zlinszky, András AU - Molnár, Bence AU - Barfod, Anders S TI - Not All Trees Sleep the Same—High Temporal Resolution Terrestrial Laser Scanning Shows Differences in Nocturnal Plant Movement JF - FRONTIERS IN PLANT SCIENCE J2 - FRONT PLANT SCI VL - 8 PY - 2017 SN - 1664-462X DO - 10.3389/fpls.2017.01814 UR - https://m2.mtmt.hu/api/publication/3281728 ID - 3281728 AB - Circadian leaf movements are widely known in plants, but nocturnal movement of tree branches were only recently discovered by using terrestrial laser scanning, a high resolution three-dimensional surveying technique. Terrestrial laser scanning uses a pulsed laser emitted in a regular scan pattern for rapid measurement of distances to the targets, thus producing three dimensional point cloud models of sub-centimeter resolution and accuracy in a few minutes. Here we aim to gain an overview of the variability of circadian movement of small trees across different taxonomic groups, growth forms and leaf anatomies. We surveyed a series of 18 full scans over a 12-hour night period to measure nocturnal changes in shape simultaneously for an experimental setup of 22 plants representing different species. Resulting point clouds were evaluated by comparing changes in height percentiles of laser scanning points belonging to the canopy. Changes in crown shape were observed for all studied trees, but clearly distinguishable sleep movements are apparently rare. Ambient light conditions were continuously dark between sunset (7:30 PM) and sunrise (6:00 AM), but most changes in movement direction occurred during this period, thus most of the recorded changes in crown shape were probably not controlled by ambient light. The highest movement amplitudes,for periodic circadian movement around 2 cm were observed for Aesculus and Acer, compared to non-periodic continuous change in shape of 5 cm for Gleditschia and 2 cm for Fargesia. In several species we detected 2-4 hours cycles of minor crown movement of 0.5-1 cm, which is close to the limit of our measurement accuracy. We present a conceptual framework for interpreting observed changes as a combination of circadian rhythm with a period close to 12 hours, short-term oscillation repeated every 2-4 hours, aperiodic continuous movement in one direction and measurement noise which we assume to be random. Observed movement patterns are interpreted within this framework, and connections with morphology and taxonomy are proposed. We confirm the existence of overnight “sleep” movement for some trees, but conclude that circadian movement is a variable phenomenon in plants, probably controlled by a complex combination of anatomical, physiological and morphological factors. LA - English DB - MTMT ER - TY - CHAP AU - Molnár, Bence AU - Fekete, Károly ED - Kristóf, Lilla Alida ED - Lukácsi, Zoltán ED - Patonay, Lajos TI - A Szent László-herma fotogrammetriai felmérése T2 - Szent király, Lovagkirály PB - Győri Hittudományi Főiskola és Papnevelő Intézet CY - Győr SN - 9789638835987 PY - 2017 SP - 88 EP - 93 PG - 6 UR - https://m2.mtmt.hu/api/publication/3233254 ID - 3233254 LA - Hungarian DB - MTMT ER - TY - CONF AU - Török, Ákos AU - Barsi, Árpád AU - Görög, Péter AU - Lovas, Tamás AU - Bögöly, Gyula AU - Czinder, Balázs AU - Vásárhelyi, Balázs AU - Molnár, Bence AU - Somogyi, József Árpád ED - European, Geosciences Union TI - Rockfall hazard assessment of nearly vertical rhyolite tuff cliff faces by using terrestrial laser scanner, UAV and FEM analyses T2 - EGU General Assembly 2017: Conference Abstracts PB - European Geosciences Union (EGU) C1 - Vienna T3 - Geophysical Research Abstracts ; 19. PY - 2017 PG - 1 UR - https://m2.mtmt.hu/api/publication/3217702 ID - 3217702 LA - English DB - MTMT ER - TY - CONF AU - Molnár, Bence AU - Joó, Attila László AU - Sinka, Róbert TI - Rendszerharmónizáció a BME Építőmérnöki Karán T2 - Networkshop 2017 PY - 2017 UR - https://m2.mtmt.hu/api/publication/3215795 ID - 3215795 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Paláncz, Béla AU - Awange, JL AU - Lovas, Tamás AU - Lewis, R AU - Molnár, Bence AU - Heck, B AU - Fukuda, Y TI - Algebraic method to speed up robust algorithms: example of laser-scanned point clouds JF - SURVEY REVIEW J2 - SURV REV VL - 49 PY - 2017 IS - 357 SP - 408 EP - 418 PG - 10 SN - 0039-6265 DO - 10.1080/00396265.2016.1183939 UR - https://m2.mtmt.hu/api/publication/3082475 ID - 3082475 N1 - WoS:hiba:000411497600002 2020-08-29 07:52 kötet nem egyezik LA - English DB - MTMT ER - TY - GEN AU - Molnár, Bence AU - Koppányi, Zoltán AU - Berényi, Attila TI - Adatbázis rendszerek. Segédlet a 3. házi feladat elkészítéséhez TS - Segédlet a 3. házi feladat elkészítéséhez PY - 2016 PG - 55 UR - https://m2.mtmt.hu/api/publication/3314799 ID - 3314799 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Paláncz, Béla AU - Awange, J L AU - Somogyi, József Árpád AU - Rehány, Nikolett AU - Lovas, Tamás AU - Molnár, Bence AU - Fukuda, Y TI - A robust cylindrical fitting to point cloud data JF - AUSTRALIAN JOURNAL OF EARTH SCIENCES J2 - AUST J EARTH SCI VL - 63 PY - 2016 IS - 5 SP - 665 EP - 673 PG - 9 SN - 0812-0099 DO - 10.1080/08120099.2016.1230147 UR - https://m2.mtmt.hu/api/publication/3118492 ID - 3118492 AB - ABSTRACTEnvironmental, engineering and industrial modelling of natural features (e.g. trees) and man-made features (e.g. pipelines) requires some form of fitting of geometrical objects such as cylinders, which is commonly undertaken using a least-squares method that?in order to get optimal estimation?assumes normal Gaussian distribution. In the presence of outliers, however, this assumption is violated leading to a Gaussian mixture distribution. This study proposes a robust parameter estimation method, which is an improved and extended form of vector algebraic modelling. The proposed method employs expectation maximisation and maximum likelihood estimation (MLE) to find cylindrical parameters in case of Gaussian mixture distribution. MLE computes the model parameters assuming that the distribution of model errors is a Gaussian mixture corresponding to inlier and outlier points. The parameters of the Gaussian mixture distribution and the membership functions of the inliers and outliers are computed using an expectation maximisation algorithm from the histogram of the model error distribution, and the initial guess values for the model parameters are obtained using total least squares. The method, illustrated by a practical example from a terrestrial laser scanning point cloud, is novel in that it is algebraic (i.e. provides a non-iterative solution to the global maximisation problem of the likelihood function), is practically useful for any type of error distribution model and is capable of separating points of interest and outliers. LA - English DB - MTMT ER -