TY  - JOUR
AU  - Mirić-Milosavljević, Mira
AU  - Svrzić, Srđan
AU  - Nikolić, Zoran
AU  - Đurković, Marija
AU  - Furtula, Mladen
AU  - Dedić, Aleksandar
PY  - 2024
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1504
AB  - This study examines the possible utilization of machine learning and decision-making in the woodworking sector. This refers to the recognition of certain sounds produced during tool idling. The physical and geometric properties of the circular saw blade result in different noises being generated during idling. It was assumed that the respective circular saw blades can be recognized by these noises. The noises of three different circular saw blades were examined while idling at the same speed. In order to obtain useful data for the deep learning process, the coarse signals were subjected to frequency analysis. A total of 240 noise samples were taken for each circular saw blade and later subjected to signal processing. Frequency-power spectra were created using a custom program in Matlab Campus Edition software, such as for the spectrograms. A short Fourier transform was used to create the average spectral density plot using self-made software. The input data for the deep learning network was created in Matlab using a custom program. The GoogleNet deep learning network was used as a data classifier. After training the network, an accuracy of 97.5% was achieved in recognizing circular saw blades.
T2  - BioResources
T1  - Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades
EP  - 1756
IS  - 1
SP  - 1744
VL  - 19
DO  - 10.15376/biores.19.1.1744-1756
UR  - conv_1768
ER  - 

@article{
author = "Mirić-Milosavljević, Mira and Svrzić, Srđan and Nikolić, Zoran and Đurković, Marija and Furtula, Mladen and Dedić, Aleksandar",
year = "2024",
abstract = "This study examines the possible utilization of machine learning and decision-making in the woodworking sector. This refers to the recognition of certain sounds produced during tool idling. The physical and geometric properties of the circular saw blade result in different noises being generated during idling. It was assumed that the respective circular saw blades can be recognized by these noises. The noises of three different circular saw blades were examined while idling at the same speed. In order to obtain useful data for the deep learning process, the coarse signals were subjected to frequency analysis. A total of 240 noise samples were taken for each circular saw blade and later subjected to signal processing. Frequency-power spectra were created using a custom program in Matlab Campus Edition software, such as for the spectrograms. A short Fourier transform was used to create the average spectral density plot using self-made software. The input data for the deep learning network was created in Matlab using a custom program. The GoogleNet deep learning network was used as a data classifier. After training the network, an accuracy of 97.5% was achieved in recognizing circular saw blades.",
journal = "BioResources",
title = "Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades",
pages = "1756-1744",
number = "1",
volume = "19",
doi = "10.15376/biores.19.1.1744-1756",
url = "conv_1768"
}

Mirić-Milosavljević, M., Svrzić, S., Nikolić, Z., Đurković, M., Furtula, M.,& Dedić, A.. (2024). Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades. in BioResources, 19(1), 1744-1756.
https://doi.org/10.15376/biores.19.1.1744-1756
conv_1768

Mirić-Milosavljević M, Svrzić S, Nikolić Z, Đurković M, Furtula M, Dedić A. Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades. in BioResources. 2024;19(1):1744-1756.
doi:10.15376/biores.19.1.1744-1756
conv_1768 .

Mirić-Milosavljević, Mira, Svrzić, Srđan, Nikolić, Zoran, Đurković, Marija, Furtula, Mladen, Dedić, Aleksandar, "Signal Processing and Machine Learning as a Tool for Identifying Idling Noises of Different Circular Saw Blades" in BioResources, 19, no. 1 (2024):1744-1756,
https://doi.org/10.15376/biores.19.1.1744-1756 .,
conv_1768 .

TY  - JOUR
AU  - Mihailović, Vladislava
AU  - Mirić-Milosavljević, Mira
AU  - Đurković, Marija
AU  - Mladenović, Goran
AU  - Milošević, Miloš
AU  - Trajković, Isaak
PY  - 2022
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/1345
AB  - Distributions of the modulus of elasticity (MOE) and modulus of rupture (MOR) were characterized at three loading rates for small clear beech specimens in static bending. The correlation between MOE and MOR for all three loading rates was significant, but it weakened with increasing load rates. The analysis of the characteristics of empirical distributions, as well as the preliminary selection of the theoretical distributions for MOE and MOR, were performed on the basis of L-moments and L-moment diagrams. According to the standard for testing small specimens, MOE and MOR are determined as the arithmetic mean of the sample. Usage of the arithmetic mean is justified when the analyzed quantity is symmetrically distributed. It was found that the distribution of MOE and MOR is not always symmetric. The loading rate influences the shapes of the MOE and MOR empirical distributions, and consequently the choice of theoretical distribution. The general extreme value distribution stood out as the best one for both MOE and MOR, regardless of the loading rate, and the second overall ranked distribution is the three-parameter Weibull distribution. The loading rate affected the value of the fifth percentile in MOR, when determined from both the empirical and theoretical distributions.
T2  - BioResources
T1  - Loading Rate Effects on MOE and MOR Distributions in Testing of Small Clear Beech Wood Specimens
EP  - 1835
IS  - 1
SP  - 1818
VL  - 17
DO  - 10.15376/biores.17.1.1818-1835
UR  - conv_1617
ER  - 

@article{
author = "Mihailović, Vladislava and Mirić-Milosavljević, Mira and Đurković, Marija and Mladenović, Goran and Milošević, Miloš and Trajković, Isaak",
year = "2022",
abstract = "Distributions of the modulus of elasticity (MOE) and modulus of rupture (MOR) were characterized at three loading rates for small clear beech specimens in static bending. The correlation between MOE and MOR for all three loading rates was significant, but it weakened with increasing load rates. The analysis of the characteristics of empirical distributions, as well as the preliminary selection of the theoretical distributions for MOE and MOR, were performed on the basis of L-moments and L-moment diagrams. According to the standard for testing small specimens, MOE and MOR are determined as the arithmetic mean of the sample. Usage of the arithmetic mean is justified when the analyzed quantity is symmetrically distributed. It was found that the distribution of MOE and MOR is not always symmetric. The loading rate influences the shapes of the MOE and MOR empirical distributions, and consequently the choice of theoretical distribution. The general extreme value distribution stood out as the best one for both MOE and MOR, regardless of the loading rate, and the second overall ranked distribution is the three-parameter Weibull distribution. The loading rate affected the value of the fifth percentile in MOR, when determined from both the empirical and theoretical distributions.",
journal = "BioResources",
title = "Loading Rate Effects on MOE and MOR Distributions in Testing of Small Clear Beech Wood Specimens",
pages = "1835-1818",
number = "1",
volume = "17",
doi = "10.15376/biores.17.1.1818-1835",
url = "conv_1617"
}

Mihailović, V., Mirić-Milosavljević, M., Đurković, M., Mladenović, G., Milošević, M.,& Trajković, I.. (2022). Loading Rate Effects on MOE and MOR Distributions in Testing of Small Clear Beech Wood Specimens. in BioResources, 17(1), 1818-1835.
https://doi.org/10.15376/biores.17.1.1818-1835
conv_1617

Mihailović V, Mirić-Milosavljević M, Đurković M, Mladenović G, Milošević M, Trajković I. Loading Rate Effects on MOE and MOR Distributions in Testing of Small Clear Beech Wood Specimens. in BioResources. 2022;17(1):1818-1835.
doi:10.15376/biores.17.1.1818-1835
conv_1617 .

Mihailović, Vladislava, Mirić-Milosavljević, Mira, Đurković, Marija, Mladenović, Goran, Milošević, Miloš, Trajković, Isaak, "Loading Rate Effects on MOE and MOR Distributions in Testing of Small Clear Beech Wood Specimens" in BioResources, 17, no. 1 (2022):1818-1835,
https://doi.org/10.15376/biores.17.1.1818-1835 .,
conv_1617 .

TY  - JOUR
AU  - Džinčić, Igor
AU  - Palija, Tanja
AU  - Mirić-Milosavljević, Mira
AU  - Mihailović, Vladislava
PY  - 2017
UR  - https://omorika.sfb.bg.ac.rs/handle/123456789/829
AB  - The variations in number and method of applied joints within storage furniture gave idea for this investigation. Importance of joint selection and its geometrical characteristic is clear if we bear in mind that the joints are critical points in the structure, and the rigidity and durability of storage furniture are in direct correlation with the type of the applied joint. Results presented in scientific papers provide little useful information to the engineer for the safe selection of the optimal joint. Number of joints along the connecting line (depth of the box type element) engineers determined empirically. In order to define stress state in the storage furniture, data on size of the load, that the box element has to with stand during its use, should be determined. The aim of this study was to determine the size and character of the loads in corner joints in storage furniture. Based on this data, as well as on the basis of information about the strength of the corner joints it is possible to calculate the required number of appropriate joining elements for each separate case.
PB  - Statny Drevarsky Vyskumny Ustav
T2  - Wood Research
T1  - Size and character of the loads in corner joints within storage furniture
EP  - 458
IS  - 3
SP  - 451
VL  - 62
UR  - conv_2061
ER  - 

@article{
author = "Džinčić, Igor and Palija, Tanja and Mirić-Milosavljević, Mira and Mihailović, Vladislava",
year = "2017",
abstract = "The variations in number and method of applied joints within storage furniture gave idea for this investigation. Importance of joint selection and its geometrical characteristic is clear if we bear in mind that the joints are critical points in the structure, and the rigidity and durability of storage furniture are in direct correlation with the type of the applied joint. Results presented in scientific papers provide little useful information to the engineer for the safe selection of the optimal joint. Number of joints along the connecting line (depth of the box type element) engineers determined empirically. In order to define stress state in the storage furniture, data on size of the load, that the box element has to with stand during its use, should be determined. The aim of this study was to determine the size and character of the loads in corner joints in storage furniture. Based on this data, as well as on the basis of information about the strength of the corner joints it is possible to calculate the required number of appropriate joining elements for each separate case.",
publisher = "Statny Drevarsky Vyskumny Ustav",
journal = "Wood Research",
title = "Size and character of the loads in corner joints within storage furniture",
pages = "458-451",
number = "3",
volume = "62",
url = "conv_2061"
}

Džinčić, I., Palija, T., Mirić-Milosavljević, M.,& Mihailović, V.. (2017). Size and character of the loads in corner joints within storage furniture. in Wood Research
Statny Drevarsky Vyskumny Ustav., 62(3), 451-458.
conv_2061

Džinčić I, Palija T, Mirić-Milosavljević M, Mihailović V. Size and character of the loads in corner joints within storage furniture. in Wood Research. 2017;62(3):451-458.
conv_2061 .

Džinčić, Igor, Palija, Tanja, Mirić-Milosavljević, Mira, Mihailović, Vladislava, "Size and character of the loads in corner joints within storage furniture" in Wood Research, 62, no. 3 (2017):451-458,
conv_2061 .