8 research outputs found

    Digitalna procjena lisne površine krošnje stijenke vinove loze (Vitis vinifera cv. Sauvignon) korištenjem LIDAR mjerne tehnologije

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    A dosage rate reduction of plant protection products mixed with water, i.e. spray mixture, in a prescribed concentration in the vineyard will only be possible in the future, if the natural characteristics of vine canopy structures (leaf wall area) and canopy management are taken into account. In a practical experiment in the vineyard we evaluated the leaf wall area of the vine cv. Sauvignon on different segments on the left and right side of the vine canopy. We compared the results of manual measurements and laser measuring technology (LIDAR) with the corresponding algorithm, with which we enabled the digital reconstruction of the leaf wall area of the vine. The manual measurement of the leaf wall area was carried out using an automated image analyser. The digital system for measuring the leaf wall area on different segments consisted of a LIDAR sensor and a Differential Global Positioning System (hereinafter DGPS). To determine the exact DGPS position of the LIDAR sensor during the measurement, we set up a DGPS base station. Using the Excel software (CORREL function), we estimated the relationship between the dependent variable (digital number of points in the cloud) and an independent variable (leaf wall area, manually measured). An analysis of six randomly selected vines in the vineyard revealed the maximum value of the correlation coefficient r = 0.80 for the left side and r = 0.90 for the right side of the leaf wall area of the vine, respectively. In the near future the virtual three-dimensional space will provide more even control of spray mixture over the entire structure of the leaf wall area in the vineyard based on autonomous decision-making models.Smanjenje količine utroška sredstava za zaštitu bilja i same smjese za prskanje u budućnosti će biti moguće samo ako se uzmu u obzir prirodne karakteristike krošnje vinove loze tj. lisne površine krošnje trsa. U praktičnom pokusu u vinogradu procijenjena je lisna površinu krošnje vinove loze cv. Sauvignon na različitim segmentima s lijeve i desne strane krošnje uz pomoć ručnih mjerenja i laserske mjerne tehnologije (LIDAR). Dobiveni rezultati uspoređeni su s pripadajućim algoritmom čime je dobivena digitalna rekonstrukcija lisne površine vinove loze. Ručno mjerenje površine listova provedeno je u laboratoriju pomoću digitalnog lisnog skenera nakon što je lišće ručno pobrano s trsova i dopremljeno u sam laboratorij. Digitalni sustav za mjerenje lisne površine na različitim segmentima krošnje sastojao se od LIDAR senzora i DGPS navigacijskog sustava. Da bi se odredio točan DGPS položaj LIDAR senzora tijekom mjerenja, postavljena je DGPS bazna stanica. Pomoću regresijske metode utvrđen je odnos između zavisne varijable (digitalni broj točaka u oblaku) i nezavisne varijable (površina listova izmjerena skenerom). Rezultati analize imeđu dvije uspoređivane metode na šest slučajno odabranih trsova vinove loze otkrivaju vrijednost koeficijenta korelacije r = 0,80 za lijevu i r = 0,90 za desnu stranu krošnje. U bliskoj budućnosti virtualni trodimenzionalni prostor pružit će ravnomjerniju kontrolu smjese raspršivača preko cijele strukture područja stijenke lišča u vinogradu na temelju autonomnih modela odlučivanja

    Machine for the extension of thin-walled tubes

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    Namen je bil izdelati stroj za razširjanje tankostenskih cevi na enem koncu po upogibanju. Te cevi so poljubnih dolžin od 1,5 metra do največ 6 metrov. Premeri cevi znašajo 80 mm, 100 mm in 125 mm. Cevi se izdelujejo iz pločevine. Časovni obseg razširjanja ene cevi se spreminja sorazmerno z dolžino cevi. Pri montaži oziroma spajanju cevi, je potrebno na enem koncu cev razširiti, tako da je možna montaža brez orodja. Testirali smo sile med obdelovalnim postopkom razširjanja in izbrali pravo orodje. S programskim orodjem Solidworks smo izdelali model stroja za razširjanje tankostenskih cevi, za katerega smo zapisali tudi program v uporabniškem vmesniku STEP 7 micro/WIN in ga testirali ter predstavili rezultate. Izbrali smo tudi najprimernejše komponente stroja ter jih podrobneje opisali.The purpose was to form a machine for extending thin-walled tubes at one end, after bending. These tubes are of optional lengths from 1.5 to a maximum of 6 metres. The diameters are 80, 100, and 152 milimetres in length. The tubes are made of sheet metal. The time dimension when extending each tube changes in proportion to the tube\u27s length. When fitting or joining the tubes, it is necessary to extend the tube at one end, so that it is possible to set it up without any tools. We tested the forces between the handling procedures when extending, and thus chose the correct tool. Using the programming tool," Solidworks" we manufactured a model of the machine for the extensions of thin-walled tubes, for which we wrote a program within the user interface STEP 7 micro/WIN, tested it, and presented the results. We then chose the more appropriate components of the machine, and fully described them

    CUTTING FORCE CONTROL SYSTEM IN HIGH SPEED MILLING

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    Glavni namen diplomskega dela je izdelati sistem, ki z digitalnim nastavljanjem podajanja regulira rezalno silo in posledično varuje rezalno orodje pred poškodbami in lomom, ter sistem, ki bo meril rezalne sile med postopkom visokohitrostne obdelave na frezalnem stroju. Z izmerjenimi silami želimo med postopkom frezanja nadzorovati dinamično obremenjenost orodja, stroja in obstojnost rezalnih ploščic.The main purpose of this diploma work was to create a system which, by using digital settings, would regulate the cutting force and consequently protect the cutting tool from harm and breakage. In addition, it was to work on a system that would measure the cutting force during the high speed milling procedure. The aim was to use the measured forces in order to control the dynamic stress of the tool, the machine, and the persistence of milling lamella, during the milling procedure

    Recording employee work attendance using the ESP32 controller

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    V diplomskem delu je predstavljena registracija delovnega časa z uporabo krmilnika ESP32, preko katerega zaznavamo identifikacijo z MAC naslovom. V uvodnih poglavjih smo se posvetili teoretičnemu delu naloge. Predstavili smo osnovno delovanje sistema, opisali uporabljene platforme ter predstavili različne vrste identifikacije. Nadaljujemo s podrobno predstavitvijo delovanja aplikacije in potekom dela. Predstavljena je tudi povezava in komunikacija krmilnika z mobilno aplikacijo. Na koncu dela sledi diskusija rezultatov in sklep.The diploma thesis presents the registration of working hours using the ESP32 controller, which allows the identification with MAC address to be detected. In the introductory chapters we focused on the theoretical part of the thesis. We presented the basic operation of the system, described the platforms used and presented different types of identification. The following chapters give a detailed presentation of how the application works and how the work was organized and carried out. The connection and communication of the controller with the mobile application is also presented. This is followed by a discussion of the results and a conclusion in the final part of the thesis

    Size and symmetry of the superconducting gap in the f.c.c. Cs3C60 polymorph close to the metal-Mott insulator boundary

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    The alkali fullerides, A3C60 (A = alkali metal) are molecular superconductors that undergo a transition to a magnetic Mott-insulating state at large lattice parameters. However, although the size and the symmetry of the superconducting gap, Δ, are both crucial for the understanding of the pairing mechanism, they are currently unknown for superconducting fullerides close to the correlation-driven magnetic insulator. Here we report a comprehensive nuclear magnetic resonance (NMR) study of face-centred-cubic (f.c.c.) Cs3C60 polymorph, which can be tuned continuously through the bandwidth-controlled Mott insulator-metal/superconductor transition by pressure. When superconductivity emerges from the insulating state at large interfullerene separations upon compression, we observe an isotropic (s-wave) Δ with a large gap-to-superconducting transition temperature ratio, 2Δ0/kBTc = 5.3(2) [Δ0 = Δ(0 K)]. 2Δ0/kBTc decreases continuously upon pressurization until it approaches a value of ~3.5, characteristic of weak-coupling BCS theory of superconductivity despite the dome-shaped dependence of Tc on interfullerene separation. The results indicate the importance of the electronic correlations for the pairing interaction as the metal/superconductor-insulator boundary is approached

    Morpho-Molecular Metabolic Analysis and Classification of Human Pituitary Gland and Adenoma Biopsies Based on Multimodal Optical Imaging

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    Pituitary adenomas count among the most common intracranial tumors. During pituitary oncogenesis structural, textural, metabolic and molecular changes occur which can be revealed with our integrated ultrahigh-resolution multimodal imaging approach including optical coherence tomography (OCT), multiphoton microscopy (MPM) and line scan Raman microspectroscopy (LSRM) on an unprecedented cellular level in a label-free manner. We investigated 5 pituitary gland and 25 adenoma biopsies, including lactotroph, null cell, gonadotroph, somatotroph and mammosomatotroph as well as corticotroph. First-level binary classification for discrimination of pituitary gland and adenomas was performed by feature extraction via radiomic analysis on OCT and MPM images and achieved an accuracy of 88%. Second-level multi-class classification was performed based on molecular analysis of the specimen via LSRM to discriminate pituitary adenomas subtypes with accuracies of up to 99%. Chemical compounds such as lipids, proteins, collagen, DNA and carotenoids and their relation could be identified as relevant biomarkers, and their spatial distribution visualized to provide deeper insight into the chemical properties of pituitary adenomas. Thereby, the aim of the current work was to assess a unique label-free and non-invasive multimodal optical imaging platform for pituitary tissue imaging and to perform a multiparametric morpho-molecular metabolic analysis and classification
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