TY  - GEN
AU  - Jovanović, Radiša
AU  - Bugarić, Uglješa
AU  - Vesović, Mitra
AU  - Laban, Lara
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/5648
AB  - Техничко решење се односи на решавање проблема оптималног управљања у смислу одређивања оптималне трајекторије, односно профила брзине кретања механизама транспортних машина, као и синтезу управљања за праћење задате оптималне трајекторије. Проблем оптималног кретања механизма захватног уређаја (његовог врха) спада у категорију нелинеарних проблема оптимизације у присуству ограничења. У циљу његовог решававања, неопходно је било урадити следеће: 1) математички моделовати динамичко понашање механизма захватног уређаја мобилног робота; 2) одредити оптималну трајекторију, односно профил брзине кретања механизма захватног уређаја; 3) пројектовати управљачки систем који омогућава праћење задате, оптималне трајекторије; 4) оптимизовати параметре управљачког система у циљу остваривања што је могуће мање грешке праћења. Применом методе принципа максимума одређен је оптимални профил брзине, односно оптимална трајекторија кретања, у смислу минимизације времена кретања механизама транспортних машина (захватних уређаја, целих машина или њених делова). Потом је имплементирано интелигентно, фази управљање кретања механизма у циљу остваривања дефинисане оптималне трајекторије, при чему је за оптимизацију параметара фази алгоритма управљања коришћена метахеуристичка метода оптимизације заснована на интелигенцији јата китова, као једна од најсавременијих. Експериментална верификација предложене методологије у овом техничком решењу приказана је на примеру аутономног мобилног робота, а добијени резултати су показали да је рад оптимизованог фази управљачког система веома задовољавајући, тако да се ова метода може успешно користити за задатке управљања у различитим техничким областима.
T2  - Техничко решење (M85) је прихваћено од стране Матичног научног одбора за машинство и индустријски софтвер
T1  - Оптимално управљање кретања захватног уређаја
T1  - Оптимално управљање кретања захватног уређаја
UR  - https://hdl.handle.net/21.15107/rcub_machinery_5648
ER  - 

@misc{
author = "Jovanović, Radiša and Bugarić, Uglješa and Vesović, Mitra and Laban, Lara",
year = "2021",
abstract = "Техничко решење се односи на решавање проблема оптималног управљања у смислу одређивања оптималне трајекторије, односно профила брзине кретања механизама транспортних машина, као и синтезу управљања за праћење задате оптималне трајекторије. Проблем оптималног кретања механизма захватног уређаја (његовог врха) спада у категорију нелинеарних проблема оптимизације у присуству ограничења. У циљу његовог решававања, неопходно је било урадити следеће: 1) математички моделовати динамичко понашање механизма захватног уређаја мобилног робота; 2) одредити оптималну трајекторију, односно профил брзине кретања механизма захватног уређаја; 3) пројектовати управљачки систем који омогућава праћење задате, оптималне трајекторије; 4) оптимизовати параметре управљачког система у циљу остваривања што је могуће мање грешке праћења. Применом методе принципа максимума одређен је оптимални профил брзине, односно оптимална трајекторија кретања, у смислу минимизације времена кретања механизама транспортних машина (захватних уређаја, целих машина или њених делова). Потом је имплементирано интелигентно, фази управљање кретања механизма у циљу остваривања дефинисане оптималне трајекторије, при чему је за оптимизацију параметара фази алгоритма управљања коришћена метахеуристичка метода оптимизације заснована на интелигенцији јата китова, као једна од најсавременијих. Експериментална верификација предложене методологије у овом техничком решењу приказана је на примеру аутономног мобилног робота, а добијени резултати су показали да је рад оптимизованог фази управљачког система веома задовољавајући, тако да се ова метода може успешно користити за задатке управљања у различитим техничким областима.",
journal = "Техничко решење (M85) је прихваћено од стране Матичног научног одбора за машинство и индустријски софтвер",
title = "Оптимално управљање кретања захватног уређаја, Оптимално управљање кретања захватног уређаја",
url = "https://hdl.handle.net/21.15107/rcub_machinery_5648"
}

Jovanović, R., Bugarić, U., Vesović, M.,& Laban, L.. (2021). Оптимално управљање кретања захватног уређаја. in Техничко решење (M85) је прихваћено од стране Матичног научног одбора за машинство и индустријски софтвер.
https://hdl.handle.net/21.15107/rcub_machinery_5648

Jovanović R, Bugarić U, Vesović M, Laban L. Оптимално управљање кретања захватног уређаја. in Техничко решење (M85) је прихваћено од стране Матичног научног одбора за машинство и индустријски софтвер. 2021;.
https://hdl.handle.net/21.15107/rcub_machinery_5648 .

Jovanović, Radiša, Bugarić, Uglješa, Vesović, Mitra, Laban, Lara, "Оптимално управљање кретања захватног уређаја" in Техничко решење (M85) је прихваћено од стране Матичног научног одбора за машинство и индустријски софтвер (2021),
https://hdl.handle.net/21.15107/rcub_machinery_5648 .

TY  - CONF
AU  - Vesović, Mitra
AU  - Jovanović, Radiša
AU  - Laban, Lara
AU  - Bugarić, Uglješa
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4519
AB  - This paper presents a feedback linearization controller for trajectory tracking of two degrees of freedom (2DOF) gripping mechanism.  To reach this goal, after deriving the dynamical equations of the gripping mechanism, the feedback linearization approach is utilized to change the nonlinear dynamics to a linear one. Classical proportional-derivative controller with feedback linearization is applied for positioning and tracking control. Furthermore, in order to achieve movement of the mechanism without the sudden stopping at the desired point, a trapezoidal velocity profile is used to obtain desired trajectory. Numerical simulations using Matlab/Simulink successfully demonstrate the effectiveness of the proposed method.
PB  - Kraljevo : Faculty of Mechanical and Civil Engineering
C3  - X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021
T1  - Feedback Linearization Control of a Two – Link Gripping Mechanism
EP  - 16
SP  - SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 9
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4519
ER  - 

@conference{
author = "Vesović, Mitra and Jovanović, Radiša and Laban, Lara and Bugarić, Uglješa",
year = "2021",
abstract = "This paper presents a feedback linearization controller for trajectory tracking of two degrees of freedom (2DOF) gripping mechanism.  To reach this goal, after deriving the dynamical equations of the gripping mechanism, the feedback linearization approach is utilized to change the nonlinear dynamics to a linear one. Classical proportional-derivative controller with feedback linearization is applied for positioning and tracking control. Furthermore, in order to achieve movement of the mechanism without the sudden stopping at the desired point, a trapezoidal velocity profile is used to obtain desired trajectory. Numerical simulations using Matlab/Simulink successfully demonstrate the effectiveness of the proposed method.",
publisher = "Kraljevo : Faculty of Mechanical and Civil Engineering",
journal = "X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021",
title = "Feedback Linearization Control of a Two – Link Gripping Mechanism",
pages = "16-SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 9",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4519"
}

Vesović, M., Jovanović, R., Laban, L.,& Bugarić, U.. (2021). Feedback Linearization Control of a Two – Link Gripping Mechanism. in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021
Kraljevo : Faculty of Mechanical and Civil Engineering., SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 9-16.
https://hdl.handle.net/21.15107/rcub_machinery_4519

Vesović M, Jovanović R, Laban L, Bugarić U. Feedback Linearization Control of a Two – Link Gripping Mechanism. in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021. 2021;:SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 9-16.
https://hdl.handle.net/21.15107/rcub_machinery_4519 .

Vesović, Mitra, Jovanović, Radiša, Laban, Lara, Bugarić, Uglješa, "Feedback Linearization Control of a Two – Link Gripping Mechanism" in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021 (2021):SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 9-16,
https://hdl.handle.net/21.15107/rcub_machinery_4519 .

TY  - CONF
AU  - Jovanović, Radiša
AU  - Bugarić, Uglješa
AU  - Laban, Lara
AU  - Vesović, Mitra
PY  - 2021
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4517
AB  - The manufacturing industry frequently deals with the problem of gripping mechanism and their movement optimization. This paper presents an optimization methodology based on the whale optimization algorithm to design an optimal fuzzy PD controller of a two - link gripping mechanism (robot arm) as a part of mobile robot working cycle. The dynamical analysis of gripping mechanism investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. The proposed fuzzy controller optimizes the trajectory of the 
robot’s end effector. Additionally, a simulation study was done for the specific initial case and the trapezoidal velocity profile was generated. Based on the predefined acceleration, movement of the robot arm is shown to be smooth and without an abrupt braking.
PB  - Kraljevo : Faculty of Mechanical and Civil Engineering
C3  - X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021
T1  - Trajectory Tracking of a Two – Link Gripping Mechanism
EP  - 8
SP  - SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 1
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4517
ER  - 

@conference{
author = "Jovanović, Radiša and Bugarić, Uglješa and Laban, Lara and Vesović, Mitra",
year = "2021",
abstract = "The manufacturing industry frequently deals with the problem of gripping mechanism and their movement optimization. This paper presents an optimization methodology based on the whale optimization algorithm to design an optimal fuzzy PD controller of a two - link gripping mechanism (robot arm) as a part of mobile robot working cycle. The dynamical analysis of gripping mechanism investigates a coupling relation between the joint torques applied by the actuators and the position and acceleration of the robot arm. The proposed fuzzy controller optimizes the trajectory of the 
robot’s end effector. Additionally, a simulation study was done for the specific initial case and the trapezoidal velocity profile was generated. Based on the predefined acceleration, movement of the robot arm is shown to be smooth and without an abrupt braking.",
publisher = "Kraljevo : Faculty of Mechanical and Civil Engineering",
journal = "X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021",
title = "Trajectory Tracking of a Two – Link Gripping Mechanism",
pages = "8-SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 1",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4517"
}

Jovanović, R., Bugarić, U., Laban, L.,& Vesović, M.. (2021). Trajectory Tracking of a Two – Link Gripping Mechanism. in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021
Kraljevo : Faculty of Mechanical and Civil Engineering., SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 1-8.
https://hdl.handle.net/21.15107/rcub_machinery_4517

Jovanović R, Bugarić U, Laban L, Vesović M. Trajectory Tracking of a Two – Link Gripping Mechanism. in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021. 2021;:SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 1-8.
https://hdl.handle.net/21.15107/rcub_machinery_4517 .

Jovanović, Radiša, Bugarić, Uglješa, Laban, Lara, Vesović, Mitra, "Trajectory Tracking of a Two – Link Gripping Mechanism" in X International Conference “Heavy Machinery-HM 2021”, Vrnjačka Banja, 23– 25 June 2021 (2021):SESSION C: AUTOMATIC CONTROL AND FLUID TECHNIQUE pp. 1-8,
https://hdl.handle.net/21.15107/rcub_machinery_4517 .

TY  - CONF
AU  - Zarić, Vladimir
AU  - Jovanović, Radiša
AU  - Laban, Lara
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4548
AB  - The process industries have continually combated
the problem concerning liquid level control. Effective control
of a system depends largely on the accuracy of the
mathematical model that predicts its dynamic behavior. In
this paper the Takagi-Sugeno fuzzy model for the coupledtank system was acquired based on empirical technique.
Furthermore, a metaheuristic algorithm was used as an
optimizer on the coupled-tank model. Then, a juxtaposition
was made when comparing models which were identified
and optimized, leading to satisfactory results. Experimental
results obtained on the coupled-tank system are provided.
PB  - Niš : Faculty of Mechanical Engineering
C3  - THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020
T1  - Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4548
ER  - 

@conference{
author = "Zarić, Vladimir and Jovanović, Radiša and Laban, Lara",
year = "2020",
abstract = "The process industries have continually combated
the problem concerning liquid level control. Effective control
of a system depends largely on the accuracy of the
mathematical model that predicts its dynamic behavior. In
this paper the Takagi-Sugeno fuzzy model for the coupledtank system was acquired based on empirical technique.
Furthermore, a metaheuristic algorithm was used as an
optimizer on the coupled-tank model. Then, a juxtaposition
was made when comparing models which were identified
and optimized, leading to satisfactory results. Experimental
results obtained on the coupled-tank system are provided.",
publisher = "Niš : Faculty of Mechanical Engineering",
journal = "THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020",
title = "Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4548"
}

Zarić, V., Jovanović, R.,& Laban, L.. (2020). Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020
Niš : Faculty of Mechanical Engineering..
https://hdl.handle.net/21.15107/rcub_machinery_4548

Zarić V, Jovanović R, Laban L. Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020. 2020;.
https://hdl.handle.net/21.15107/rcub_machinery_4548 .

Zarić, Vladimir, Jovanović, Radiša, Laban, Lara, "Identification of a coupled-tank plant and Takagi-Sugeno model optimization using a whale optimizer" in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” Masing 2020 : Proceedings, Niš, December 09-10, 2020 (2020),
https://hdl.handle.net/21.15107/rcub_machinery_4548 .

TY  - CONF
AU  - Jovanović, Radiša
AU  - Zarić, Vladimir
AU  - Vesović, Mitra
AU  - Laban, Lara
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4500
AB  - The liquid level control remains an important task for research and is used by process control engineers. Linear models for the tank system were obtained based on empirical techniques. From these identified linear models Takagi-Sugeno model was obtained and later a fuzzy controller was designed based on the parallel distributed compensation method (PDC). A comparison was made between local linear PI controllers and the parallel distributed compensation controller. The evaluation criteria which was considered in this paper is the step response. In addition to all of the above stated, the whale optimization algorithm is implemented to fine tune parameters and to obtain optimized Takagi-Sugeno plant model. Moreover, the PDC from optimized model is compared to the first parallel distributed controller, which was based on identified models.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm
EP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202
SP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4500
ER  - 

@conference{
author = "Jovanović, Radiša and Zarić, Vladimir and Vesović, Mitra and Laban, Lara",
year = "2020",
abstract = "The liquid level control remains an important task for research and is used by process control engineers. Linear models for the tank system were obtained based on empirical techniques. From these identified linear models Takagi-Sugeno model was obtained and later a fuzzy controller was designed based on the parallel distributed compensation method (PDC). A comparison was made between local linear PI controllers and the parallel distributed compensation controller. The evaluation criteria which was considered in this paper is the step response. In addition to all of the above stated, the whale optimization algorithm is implemented to fine tune parameters and to obtain optimized Takagi-Sugeno plant model. Moreover, the PDC from optimized model is compared to the first parallel distributed controller, which was based on identified models.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm",
pages = "SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4500"
}

Jovanović, R., Zarić, V., Vesović, M.,& Laban, L.. (2020). Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202.
https://hdl.handle.net/21.15107/rcub_machinery_4500

Jovanović R, Zarić V, Vesović M, Laban L. Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202.
https://hdl.handle.net/21.15107/rcub_machinery_4500 .

Jovanović, Radiša, Zarić, Vladimir, Vesović, Mitra, Laban, Lara, "Modeling and Control of a Liquid Level System Based on the Takagi-Sugeno Fuzzy Model Using the Whale Optimization Algorithm" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.197-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp. 202,
https://hdl.handle.net/21.15107/rcub_machinery_4500 .

TY  - CONF
AU  - Laban, Lara
AU  - Jovanović, Radiša
AU  - Vesović, Mitra
AU  - Zarić, Vladimir
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4496
AB  - In this paper a comparison between three different
types of trained VGG convolutional neural networks (CNNs) is
proposed for the classification of a pediatric chest X-ray image
data set. A deep convolutional neural network with an
architecture resembling the VGGNet is presented using dropout,
decay and data scaling. Since the dataset had a class imbalance,
this was solved using a simple method called data scaling. The
training of the neural network was done using small batches with
a binary cross entropy loss function. The same neural network
was then implemented adding batch normalization layers, and
comparisons were made. Furthermore, the chest X-ray dataset
was also trained using transfer learning with a pre-trained
neural network VGG16 on the ImageNet dataset. Later on
juxtapositions were made on using both techniques. Additionally,
in applying these methods we were able to achieve a classification
with the accuracy higher than 0.95 and 0.97 for the training and
validation datasets, whilst incorporating only 30 epochs.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS
EP  - SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23
SP  - SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4496
ER  - 

@conference{
author = "Laban, Lara and Jovanović, Radiša and Vesović, Mitra and Zarić, Vladimir",
year = "2020",
abstract = "In this paper a comparison between three different
types of trained VGG convolutional neural networks (CNNs) is
proposed for the classification of a pediatric chest X-ray image
data set. A deep convolutional neural network with an
architecture resembling the VGGNet is presented using dropout,
decay and data scaling. Since the dataset had a class imbalance,
this was solved using a simple method called data scaling. The
training of the neural network was done using small batches with
a binary cross entropy loss function. The same neural network
was then implemented adding batch normalization layers, and
comparisons were made. Furthermore, the chest X-ray dataset
was also trained using transfer learning with a pre-trained
neural network VGG16 on the ImageNet dataset. Later on
juxtapositions were made on using both techniques. Additionally,
in applying these methods we were able to achieve a classification
with the accuracy higher than 0.95 and 0.97 for the training and
validation datasets, whilst incorporating only 30 epochs.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS",
pages = "SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4496"
}

Laban, L., Jovanović, R., Vesović, M.,& Zarić, V.. (2020). CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23.
https://hdl.handle.net/21.15107/rcub_machinery_4496

Laban L, Jovanović R, Vesović M, Zarić V. CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23.
https://hdl.handle.net/21.15107/rcub_machinery_4496 .

Laban, Lara, Jovanović, Radiša, Vesović, Mitra, Zarić, Vladimir, "CLASSIFICATION OF CHEST X-RAY IMAGES USING DEEP CONVOLUTIONAL NEURAL NETWORKS" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 18-SESSION AII2: ARTIFICIAL INTELIGENCE: DEEP NEURAL NETWORKS AND APPLICATION pp. 23,
https://hdl.handle.net/21.15107/rcub_machinery_4496 .

TY  - CONF
AU  - Vesović, Mitra
AU  - Jovanović, Radiša
AU  - Laban, Lara
AU  - Zarić, Vladimir
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4492
AB  - The nonlinear feedback control system applied to the
direct current - DC motor is proposed in this research. Nonlinear
mathematical model has been obtained using dead zone, Coulomb
and viscous friction. The system stability has been analyzed using
Lyapunov stability theory. The effectiveness and the comparison
of the performance between linear and nonlinear control
algorithm have been validated using Matlab/Simulink software.
From the conclusions, based on the simulation and experimental
results that have been provided, it is easy to see that nonlinear
control systems are more suitable and have a better reach for
controlling position. The validity of using feedback linearization
in DC motors has been proven.
PB  - Belgrade : Društvo za ETRAN
PB  - Beograd : Akademska misao
C3  - Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
T1  - MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH
EP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196
SP  - SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4492
ER  - 

@conference{
author = "Vesović, Mitra and Jovanović, Radiša and Laban, Lara and Zarić, Vladimir",
year = "2020",
abstract = "The nonlinear feedback control system applied to the
direct current - DC motor is proposed in this research. Nonlinear
mathematical model has been obtained using dead zone, Coulomb
and viscous friction. The system stability has been analyzed using
Lyapunov stability theory. The effectiveness and the comparison
of the performance between linear and nonlinear control
algorithm have been validated using Matlab/Simulink software.
From the conclusions, based on the simulation and experimental
results that have been provided, it is easy to see that nonlinear
control systems are more suitable and have a better reach for
controlling position. The validity of using feedback linearization
in DC motors has been proven.",
publisher = "Belgrade : Društvo za ETRAN, Beograd : Akademska misao",
journal = "Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020",
title = "MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH",
pages = "SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4492"
}

Vesović, M., Jovanović, R., Laban, L.,& Zarić, V.. (2020). MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020
Belgrade : Društvo za ETRAN., SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196.
https://hdl.handle.net/21.15107/rcub_machinery_4492

Vesović M, Jovanović R, Laban L, Zarić V. MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH. in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020. 2020;:SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196.
https://hdl.handle.net/21.15107/rcub_machinery_4492 .

Vesović, Mitra, Jovanović, Radiša, Laban, Lara, Zarić, Vladimir, "MODELLING AND CONTROL OF A SERIES DIRECT CURRENT (DC) MACHINES USING FEEDBACK LINEARIZATION APPROACH" in Зборник радова ‐ 64. Конференција за електронику, телекомуникације, рачунарство, аутоматику и нуклеарну технику / Proceedings of Papers –  7th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2020 (2020):SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.191-SESSION AU2: CONTROL SYSTEMS 2 AUI2.2 pp.196,
https://hdl.handle.net/21.15107/rcub_machinery_4492 .

TY  - CONF
AU  - Laban, Lara
AU  - Vesović, Mitra
PY  - 2020
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4508
AB  - In this paper a method is presented for the
classification of COVID-CT (CT_COVID, CT_NonCOVID)
image data set. Four different types of deep convolutional
neural networks are proposed, two with the architecture
resembling the VGGNet, one resembling the LeNet-5 and
one using transfer learning. In addition, neural networks
utilized the following techniques: decay, dropout and batch
normalization. Since we needed to combat a significantly
small dataset, we used data augmentation in order to
transform and expand our dataset. Moreover,
juxtapositions were made when observing the results given
by these four neural networks, as well as the affect made by
two different optimizers. The training of the neural
networks was done using small batches with a binary cross
entropy loss function, in order to achieve an up to scratch
classification accuracy.
PB  - Faculty of Mechanical Engineering in Niš
PB  - Prof. Dr Nenad T. Pavlović, Dean
C3  - THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10.
T1  - Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks
EP  - 206
SP  - MECHATRONICS AND CONTROL pp. 201
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4508
ER  - 

@conference{
author = "Laban, Lara and Vesović, Mitra",
year = "2020",
abstract = "In this paper a method is presented for the
classification of COVID-CT (CT_COVID, CT_NonCOVID)
image data set. Four different types of deep convolutional
neural networks are proposed, two with the architecture
resembling the VGGNet, one resembling the LeNet-5 and
one using transfer learning. In addition, neural networks
utilized the following techniques: decay, dropout and batch
normalization. Since we needed to combat a significantly
small dataset, we used data augmentation in order to
transform and expand our dataset. Moreover,
juxtapositions were made when observing the results given
by these four neural networks, as well as the affect made by
two different optimizers. The training of the neural
networks was done using small batches with a binary cross
entropy loss function, in order to achieve an up to scratch
classification accuracy.",
publisher = "Faculty of Mechanical Engineering in Niš, Prof. Dr Nenad T. Pavlović, Dean",
journal = "THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10.",
title = "Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks",
pages = "206-MECHATRONICS AND CONTROL pp. 201",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4508"
}

Laban, L.,& Vesović, M.. (2020). Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10.
Faculty of Mechanical Engineering in Niš., MECHATRONICS AND CONTROL pp. 201-206.
https://hdl.handle.net/21.15107/rcub_machinery_4508

Laban L, Vesović M. Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks. in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10.. 2020;:MECHATRONICS AND CONTROL pp. 201-206.
https://hdl.handle.net/21.15107/rcub_machinery_4508 .

Laban, Lara, Vesović, Mitra, "Classification of COVID-CT Images Utilizing Four Types of Deep Convolutional Neural Networks" in THE FIFTH INTERNATIONAL CONFERENCE “MECHANICAL ENGINEERING IN XXI CENTURY” - MASING 2020 PROCEEDINGS -UNIVERSITY OF NIŠ FACULTY OF MECHANICAL ENGINEERING IN NIŠ, December 9-10. (2020):MECHATRONICS AND CONTROL pp. 201-206,
https://hdl.handle.net/21.15107/rcub_machinery_4508 .

TY  - CONF
AU  - Laban, Lara
AU  - Rudonja, Nedžad
AU  - Gojak, Milan
PY  - 2017
UR  - https://machinery.mas.bg.ac.rs/handle/123456789/4965
AB  - This paper aims to present how temperature can be measured in the fastest and most accurate way using different types of sensors. It closely describes the use of simplistic temperature measurement via thermometer liquids and bimetallic thermometers, as well as the advanced measurements using thermocouples, NTC resistors, etc. Semiconductor materials which behave as ideal isolators at very low temperatures are depicted as the most slow rate response sensors, because of the time it takes for them to heat up. Whilst in most cases thermocouples type K have the quickest response time, and the most effective, due to the fact that their junction, when heated, generates thermoelectric voltage; this allows the measuring of the temperature. Also, the temperature measurement with thermistors resistance is very much explained using 2, 3, 4 -conductor connection. Furthermore, explained in detail is the main purpose which is to enable the documenting of characteristic curves via a 3 channel line recorder using measured values from the electrical temperature sensors and providing a response time through readings. In the finale stage of the paper experimental readings, calculations and measurement are shown and compered with one another according to the use of non protection tubes, tubes of high-grade steel and immersion tubes made of brass.
PB  - Scientific Association for the Development and Promotion of New Technologies, Serbia
PB  - Central Institute for Conservation, Belgrade
C3  - The First International Student Scientific Conference “Multidisciplinary Approach to Contemporary Research
T1  - Selection of the Most Efficient Temperature Measurement Method Based on Desired Response Time and Experimental results
EP  - 255
SP  - 247
UR  - https://hdl.handle.net/21.15107/rcub_machinery_4965
ER  - 

@conference{
author = "Laban, Lara and Rudonja, Nedžad and Gojak, Milan",
year = "2017",
abstract = "This paper aims to present how temperature can be measured in the fastest and most accurate way using different types of sensors. It closely describes the use of simplistic temperature measurement via thermometer liquids and bimetallic thermometers, as well as the advanced measurements using thermocouples, NTC resistors, etc. Semiconductor materials which behave as ideal isolators at very low temperatures are depicted as the most slow rate response sensors, because of the time it takes for them to heat up. Whilst in most cases thermocouples type K have the quickest response time, and the most effective, due to the fact that their junction, when heated, generates thermoelectric voltage; this allows the measuring of the temperature. Also, the temperature measurement with thermistors resistance is very much explained using 2, 3, 4 -conductor connection. Furthermore, explained in detail is the main purpose which is to enable the documenting of characteristic curves via a 3 channel line recorder using measured values from the electrical temperature sensors and providing a response time through readings. In the finale stage of the paper experimental readings, calculations and measurement are shown and compered with one another according to the use of non protection tubes, tubes of high-grade steel and immersion tubes made of brass.",
publisher = "Scientific Association for the Development and Promotion of New Technologies, Serbia, Central Institute for Conservation, Belgrade",
journal = "The First International Student Scientific Conference “Multidisciplinary Approach to Contemporary Research",
title = "Selection of the Most Efficient Temperature Measurement Method Based on Desired Response Time and Experimental results",
pages = "255-247",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4965"
}

Laban, L., Rudonja, N.,& Gojak, M.. (2017). Selection of the Most Efficient Temperature Measurement Method Based on Desired Response Time and Experimental results. in The First International Student Scientific Conference “Multidisciplinary Approach to Contemporary Research
Scientific Association for the Development and Promotion of New Technologies, Serbia., 247-255.
https://hdl.handle.net/21.15107/rcub_machinery_4965

Laban L, Rudonja N, Gojak M. Selection of the Most Efficient Temperature Measurement Method Based on Desired Response Time and Experimental results. in The First International Student Scientific Conference “Multidisciplinary Approach to Contemporary Research. 2017;:247-255.
https://hdl.handle.net/21.15107/rcub_machinery_4965 .

Laban, Lara, Rudonja, Nedžad, Gojak, Milan, "Selection of the Most Efficient Temperature Measurement Method Based on Desired Response Time and Experimental results" in The First International Student Scientific Conference “Multidisciplinary Approach to Contemporary Research (2017):247-255,
https://hdl.handle.net/21.15107/rcub_machinery_4965 .