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Short example of Biceps Brachii muscle sEMG decomposition using the DEMUSE Tool-TEST
Aleš Holobar, zaključena znanstvena zbirka raziskovalnih podatkov

Opis: This dataset contains 4 examples of simulated multichannel surface EMG signals of the Biceps Brachii muscle and results of their decomposition into separate motor unit activity. It is intended as a demonstration of the DEMUSE Tool software for sEMG decomposition and as a basis for practical example of dataset preparation for the HybridNeuro project webinar on Data management and ethics. Two sets of data are included: the raw simulated sEMG signals and the results of decomposition of those signals with the DEMUSE Tool.
Ključne besede: surface EMG, decomposition, motor unit, DEMUSE, biceps brachii, dataset
Objavljeno v DKUM: 05.04.2024; Ogledov: 586; Prenosov: 12
.pdf Celotno besedilo (60,07 KB)
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4.
DynFS: dynamic genotype cutting feature selection algorithm
Dušan Fister, Iztok Fister, Sašo Karakatič, 2023, izvirni znanstveni članek

Ključne besede: feature selection, nature-inspired algorithms, swarm intelligence, optimization
Objavljeno v DKUM: 05.04.2024; Ogledov: 63; Prenosov: 6
.pdf Celotno besedilo (1,14 MB)

5.
Smernice za zbiranje podatkov za govorne vire
Darinka Verdonik, Januška Gostenčnik, 2024, elaborat, predštudija, študija

Ključne besede: govorni vir, zbiranje podatkov
Objavljeno v DKUM: 04.04.2024; Ogledov: 42; Prenosov: 0
.pdf Celotno besedilo (1,41 MB)
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6.
Cross-Hole GPR for Soil Moisture Estimation Using Deep Learning
Blaž Pongrac, Dušan Gleich, Marko Malajner, Andrej Sarjaš, 2023, izvirni znanstveni članek

Opis: This paper presents the design of a high-voltage pulse-based radar and a supervised data processing method for soil moisture estimation. The goal of this research was to design a pulse-based radar to detect changes in soil moisture using a cross-hole approach. The pulse-based radar with three transmitting antennas was placed into a 12 m deep hole, and a receiver with three receive antennas was placed into a different hole separated by 100 m from the transmitter. The pulse generator was based on a Marx generator with an LC filter, and for the receiver, the high-frequency data acquisition card was used, which can acquire signals using 3 Gigabytes per second. Used borehole antennas were designed to operate in the wide frequency band to ensure signal propagation through the soil. A deep regression convolutional network is proposed in this paper to estimate volumetric soil moisture using time-sampled signals. A regression convolutional network is extended to three dimensions to model changes in wave propagation between the transmitted and received signals. The training dataset was acquired during the period of 73 days of acquisition between two boreholes separated by 100 m. The soil moisture measurements were acquired at three points 25 m apart to provide ground truth data. Additionally, water was poured into several specially prepared boreholes between transmitter and receiver antennas to acquire additional dataset for training, validation, and testing of convolutional neural networks. Experimental results showed that the proposed system is able to detect changes in the volumetric soil moisture using Tx and Rx antennas.
Ključne besede: ground penetrating radar, cross-hole, L-band, deep learning, convolutional neural network, soil moisture estimation
Objavljeno v DKUM: 03.04.2024; Ogledov: 76; Prenosov: 4
.pdf Celotno besedilo (3,22 MB)
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7.
Kvizi iz matematike I : 2. del
Aleksandra Tepeh, 2024

Opis: Pričujoča zbirka rešenih nalog je učni pripomoček, v prvi vrsti namenjen študentom 1. letnika visokošolskih študijskih programov Računalništvo in informacijske tehnologije in Informatika in tehnologije komuniciranja na UM FERI, ki poslušajo predmet Matematika 1. Ker večina naravoslovnih in tehniških študijskih smeri drugih fakultet v prvem letniku pokriva enako snov, je tako namenjen tudi širši publiki. Prvi del zbirke pokriva teme iz osnov logičnega sklepanja, množice, kompleksnih števil in funkcij. V tem (drugem) delu zbirke so obravnavane limite, odvode, integrale, zaporedja in vrste. Zbirka kot celota študenta nagovori k pripravi dobrih zapiskov, kar je eden izmed temeljev dobre priprave na izpite.
Ključne besede: funkcije, limita, odvodi, integrali, zaporedja, vrste
Objavljeno v DKUM: 03.04.2024; Ogledov: 83; Prenosov: 18
.pdf Celotno besedilo (3,81 MB)
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8.
Označevanje netekočnosti v govoru: primer označevanja z uporabo orodja Exmaralda
Darinka Verdonik, 2024, elaborat, predštudija, študija

Ključne besede: netekočnost govora, Exmaralda orodje
Objavljeno v DKUM: 03.04.2024; Ogledov: 62; Prenosov: 4
.pdf Celotno besedilo (1,57 MB)
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9.
General Position Sets in Two Families of Cartesian Product Graphs
Danilo Korže, Aleksander Vesel, 2023, izvirni znanstveni članek

Opis: For a given graph G, the general position problem asks for the largest set of vertices S⊆V(G) , such that no three distinct vertices of S belong to a common shortest path of G. The general position problem for Cartesian products of two cycles as well as for hypercubes is considered. The problem is completely solved for the first family of graphs, while for the hypercubes, some partial results based on reduction to SAT are given.
Ključne besede: general position set, cartesian product, hypercube, SAT
Objavljeno v DKUM: 02.04.2024; Ogledov: 70; Prenosov: 6
.pdf Celotno besedilo (405,17 KB)
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10.
Design and Implementation of ESP32-Based IoT Devices
Darko Hercog, Tone Lerher, Mitja Truntič, Oto Težak, 2023, izvirni znanstveni članek

Opis: The Internet of Things (IoT) has become a transformative technology with great potential in various sectors, including home automation, industrial control, environmental monitoring, agriculture, wearables, health monitoring, and others. The growing presence of IoT devices stimulates schools and academic institutions to integrate IoT into the educational process, since IoT skills are in demand in the labor market. This paper presents educational IoT tools and technologies that simplify the design, implementation, and testing of IoT applications. The article presents the introductory IoT course that students perform initially and then presents some of the projects that they develop and implement on their own later in the project.
Ključne besede: ESP32, Arduino, IoT, education, analog discovery
Objavljeno v DKUM: 02.04.2024; Ogledov: 63; Prenosov: 8
.pdf Celotno besedilo (10,39 MB)
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