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3. Geometric Shape Characterisation Based on a Multi-Sweeping ParadigmBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Štefan Kohek, Luka Lukač, 2023, izvirni znanstveni članek Ključne besede: computer science, image analysis, computational geometry, local reflection symmetry
Objavljeno v DKUM: 24.05.2024; Ogledov: 295; Prenosov: 10
 Celotno besedilo (1,87 MB)
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4. A new transformation technique for reducing information entropy : a case study on greyscale raster imagesBorut Žalik, Damjan Strnad, David Podgorelec, Ivana Kolingerová, Luka Lukač, Niko Lukač, Simon Kolmanič, Krista Rizman Žalik, Štefan Kohek, 2023, izvirni znanstveni članek Opis: This paper proposes a new string transformation technique called Move with Interleaving (MwI). Four possible ways of rearranging 2D raster images into 1D sequences of values are applied, including scan-line, left-right, strip-based, and Hilbert arrangements. Experiments on 32 benchmark greyscale raster images of various resolutions demonstrated that the proposed transformation reduces information entropy to a similar extent as the combination of the Burrows–Wheeler transform followed by the Move-To-Front or the Inversion Frequencies. The proposed transformation MwI yields the best result among all the considered transformations when the Hilbert arrangement is applied.
Ključne besede: computer science, algorithm, string transformation, information entropy, Hilbert space filling curve
Objavljeno v DKUM: 22.05.2024; Ogledov: 153; Prenosov: 8
Celotno besedilo (26,44 MB)
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5. FLoCIC: A Few Lines of Code for Raster Image CompressionBorut Žalik, Damjan Strnad, Štefan Kohek, Ivana Kolingerová, Andrej Nerat, Niko Lukač, Bogdan Lipuš, Mitja Žalik, David Podgorelec, 2023, izvirni znanstveni članek Ključne besede: computer science, algorithm, prediction, interpolative coding, PNG, JPEG LS, JPEG 2000 lossless
Objavljeno v DKUM: 22.05.2024; Ogledov: 153; Prenosov: 15
Celotno besedilo (10,78 MB)
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6. LiDAR-Based Maintenance of a Safe Distance between a Human and a Robot ArmDavid Podgorelec, Suzana Uran, Andrej Nerat, Božidar Bratina, Sašo Pečnik, Marjan Dimec, Franc Žaberl, Borut Žalik, Riko Šafarič, 2023, izvirni znanstveni članek Opis: This paper focuses on a comprehensive study of penal policy in Slovenia in the last 70 years, providing an analysis of statistical data on crime, conviction, and prison populations. After a sharp political and penal repression in the first years after World War II, penal and prison policy began paving the way to a unique "welfare sanction system", grounded in ideas of prisoners' treatment. After democratic reforms in the early 1990s, the criminal legislation became harsher, but Slovenia managed to avoid the general punitive trends characterized by the era of penal state and culture of control. The authoritarian socialist regime at its final stage had supported the humanization of the penal system, and this trend continued in the first years of the democratic reforms in the 1990s, but it lost its momentum after 2000. In the following two decades, Slovenia experienced a continuous harshening of criminal law and sanctions on the one hand and an increasing prison population rate on the other. From 2014 onwards, however, there was a decrease in all segments of penal statistics. The findings of the study emphasize the exceptionalism of Slovenian penal policy, characterized by penal moderation, which is the product of the specific local historical, political, economic, and normative developments.
Ključne besede: LIDAR, robot, human-robot collaboration, speed and separation monitoring, intelligent control system, geometric data registration, motion prediction
Objavljeno v DKUM: 16.02.2024; Ogledov: 413; Prenosov: 19
Celotno besedilo (5,27 MB)
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7. Reflection symmetry detection in earth observation dataDavid Podgorelec, Luka Lukač, Borut Žalik, 2023, izvirni znanstveni članek Opis: The paper presents a new algorithm for reflection symmetry detection, which is specialized to detect maximal symmetric patterns in an Earth observation (EO) dataset. First, we stress the particularities that make symmetry detection in EO data different from detection in other geometric sets. The EO data acquisition cannot provide exact pairs of symmetric elements and, therefore, the approximate symmetry must be addressed, which is accomplished by voxelization. Besides this, the EO data symmetric patterns in the top view usually contain the most useful information for further processing and, thus, it suffices to detect symmetries with vertical symmetry planes. The algorithm first extracts the so-called interesting voxels and then finds symmetric pairs of line segments, separately for each horizontal voxel slice. The results with the same symmetry plane are then merged, first in individual slices and then through all the slices. The detected maximal symmetric patterns represent the so-called partial symmetries, which can be further processed to identify global and local symmetries. LiDAR datasets of six urban and natural attractions in Slovenia of different scales and in different voxel resolutions were analyzed in this paper, demonstrating high detection speed and quality of solutions.
Ključne besede: computer science, approximate symmetry, partial symmetry, local symmetry, point cloud, voxel, line segment
Objavljeno v DKUM: 28.09.2023; Ogledov: 437; Prenosov: 25
Celotno besedilo (8,92 MB)
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8. Razvoj inteligentne rešitve za vrednotenje vozil z uporabo strojnega učenja : magistrsko deloDavid Žele, 2022, magistrsko delo Opis: Eden izmed ključnih problemov hitrega razvoja inteligentnih rešitev je v tem, kako čim bolj sistematično, avtomatizirano in nadzorovano optimizirati razvojni proces. Željen je čim manjši vpliv hitro vpeljanih sprememb v podatkih ali programski kodi na samo končno rešitev in sledenje vpliva sprememb. Namen magistrskega dela je predvsem vpeljati inženirski pristop ML Ops, ki v veliki meri avtomatizira korake v razvoju programske rešitve, in ga preizkusiti na primeru razvoja inteligentne rešitve za vrednotenje vozil z uporabo strojnega učenja in podatkov s spletnih strani z rabljenimi vozili.
Končni rezultati, da je razvojni proces po vpeljavi ML Ops bolj organiziran ter v veliki meri razbremeni sodelujoče na projektu, ne presenečajo, preseneča pa medsebojna kompatibilnost izbranih orodij, ki smo jih izbrali za naš projekt, ter sama pripravljenost na vpeljavo koncepta.
Ključne besede: inteligentna rešitev, vrednotenje vozil, strojno učenje
Objavljeno v DKUM: 07.11.2022; Ogledov: 647; Prenosov: 98
Celotno besedilo (2,38 MB) |
9. Lossless Compression of High-frequency Intervals in Digital Audio : bachelor's thesisIvan Benc, 2022, diplomsko delo Opis: In this Thesis, an algorithm for lossless audio compression in a time domain is developed and implemented. The algorithm is designed to estimate the signal frequency based on the number of local extremes, and adapts the encoding to the estimated high or low- frequency intervals. As possible adaptations, fitting line segments, quadratic Bézier curves to the signal, and dictionary compression are examined. Residuals are encoded with delta encoding and compressed with binary adaptive sequential coding. The difference in the proportions of line segments and curves used in the high and low-frequency intervals have been detected, but this is not significant enough for this kind of interval discrimination to be meaningful in the current design of the algorithm.
Ključne besede: lossless audio compression, delta encoding, binary adaptive sequential coding, greedy method
Objavljeno v DKUM: 07.11.2022; Ogledov: 669; Prenosov: 53
Celotno besedilo (1,90 MB) |
10. Primerjava dinamičnega programiranja in požrešne metode pri optimizaciji brezizgubnega stiskanja avdia s prileganjem krivulj : diplomsko deloLuka Železnik, 2022, diplomsko delo Opis: V diplomski nalogi je najprej opravljen pregled brezizgubnih algoritmov za stiskanje avdia, nato pa sledi prestavitev nove lastne metode, ki temelji na prileganju daljic in Bézierovih krivulj 2. reda avdiosignalu. Opisani sta dve inačici algoritma, zasnovani s strategijama požrešne metode in dinamičnega programiranja. Sledi še primerjava obeh inačic med seboj in z obstoječimi brezizgubnimi algoritmi.
Ključne besede: računalništvo, algoritem, Bézierova krivulja, Riceovo kodiranje, prilagodljivo binarno zaporedno kodiranje
Objavljeno v DKUM: 20.10.2022; Ogledov: 642; Prenosov: 35
Celotno besedilo (1,46 MB) |
