Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751334
A. Jovanovic, Z. Perić, N. Vučić
In this paper we propose piecewise uniform scalar quantization (PUSQ) for amplitudes having one dimensional two-component Gaussian mixture model probability density function (GMM pdf). For the proposed model we also derive asymptotic formulas for the mean-square error (distortion D) and signal to quantization noise ratio (SQNR). In addition, for the constraints introduced during the theoretical model formulation, we perform a numerical optimization of PUSQ in terms of the mean square-error, or, equivalently, in terms of the SQNR. In particular, for the given constraints we determine the threshold between ranges of PUSQ that maximizes the SQNR. As quantization of amplitudes with GMM pdf has not been frequently considered in the literature, we believe that the results presented in this paper will help to gain a better insight into this issue.
{"title":"Piecewise Uniform Quantization for One-Dimensional Two-Component GMM","authors":"A. Jovanovic, Z. Perić, N. Vučić","doi":"10.1109/INFOTEH53737.2022.9751334","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751334","url":null,"abstract":"In this paper we propose piecewise uniform scalar quantization (PUSQ) for amplitudes having one dimensional two-component Gaussian mixture model probability density function (GMM pdf). For the proposed model we also derive asymptotic formulas for the mean-square error (distortion D) and signal to quantization noise ratio (SQNR). In addition, for the constraints introduced during the theoretical model formulation, we perform a numerical optimization of PUSQ in terms of the mean square-error, or, equivalently, in terms of the SQNR. In particular, for the given constraints we determine the threshold between ranges of PUSQ that maximizes the SQNR. As quantization of amplitudes with GMM pdf has not been frequently considered in the literature, we believe that the results presented in this paper will help to gain a better insight into this issue.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"2003 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87040988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751292
M. Hodžić, N. Prljaca
Most modern missiles implement some variant of proportional navigation (PN) guidance law. In order to implement this form of navigation, the missile has to measure line of sight (LOS) rate. Devices capable to measure LOS rate are referred to as the seekers. This article aims to present analysis of a missile seeker mathematical models with purpose to obtain LOS rate estimation used for implementation of PN in three dimensions. This paper includes MATLAB simulations of developed seeker with 6-DOF nonlinear missile mathematical model and autopilot presented in earlier works by the authors.
{"title":"LOS rate estimation techniques for proportional navigation guided missiles","authors":"M. Hodžić, N. Prljaca","doi":"10.1109/INFOTEH53737.2022.9751292","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751292","url":null,"abstract":"Most modern missiles implement some variant of proportional navigation (PN) guidance law. In order to implement this form of navigation, the missile has to measure line of sight (LOS) rate. Devices capable to measure LOS rate are referred to as the seekers. This article aims to present analysis of a missile seeker mathematical models with purpose to obtain LOS rate estimation used for implementation of PN in three dimensions. This paper includes MATLAB simulations of developed seeker with 6-DOF nonlinear missile mathematical model and autopilot presented in earlier works by the authors.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"67 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91353798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751304
J. Vukašinović, Miloš Milovanović, N. Arsic, Jordan Radosavljević, S. Statkic
In this paper, a hybrid metaheuristic algorithm, named the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed for estimating parameters of double-cage induction motors. The parameters are obtained by minimizing the objective function related to the error between the calculated and manufacturer data. The performances of the proposed algorithm are analyzed and evaluated using the motors of different powers. Compared to the original PSOGSA and other algorithms applied in solving the parameter estimation problem, it is found that the proposed algorithm has better performances.
{"title":"Parameters estimation of double-cage induction motors using a hybrid metaheuristic algorithm","authors":"J. Vukašinović, Miloš Milovanović, N. Arsic, Jordan Radosavljević, S. Statkic","doi":"10.1109/INFOTEH53737.2022.9751304","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751304","url":null,"abstract":"In this paper, a hybrid metaheuristic algorithm, named the hybrid Phasor Particle Swarm Optimization and Gravitational Search Algorithm (PPSOGSA), is proposed for estimating parameters of double-cage induction motors. The parameters are obtained by minimizing the objective function related to the error between the calculated and manufacturer data. The performances of the proposed algorithm are analyzed and evaluated using the motors of different powers. Compared to the original PSOGSA and other algorithms applied in solving the parameter estimation problem, it is found that the proposed algorithm has better performances.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"42 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84498598","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751341
T. Lolic, Veljko Ilić, S. Ristić, D. Lalic, Sara Havzi
This paper presents research aimed at examining the crucial factors influencing the e-learning system's success at the University of Novi Sad, Serbia. To assess and analyze the experience in using the system data were collected from 863 students. Collected data were analyzed using different statistical methods. Results led us to the identification of essential factors for measuring the acceptance of an e-learning system. Furthermore, the combination of DeLone and McLean, UTAUT, and the Workforce agility model led us to the definition of new relations among e-learning system success factors. Accordingly, in the end, we provided results including new model and relationships within, together with the implications for using our findings.
{"title":"Exploring factors influencing the e-learning system success: a student perspective","authors":"T. Lolic, Veljko Ilić, S. Ristić, D. Lalic, Sara Havzi","doi":"10.1109/INFOTEH53737.2022.9751341","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751341","url":null,"abstract":"This paper presents research aimed at examining the crucial factors influencing the e-learning system's success at the University of Novi Sad, Serbia. To assess and analyze the experience in using the system data were collected from 863 students. Collected data were analyzed using different statistical methods. Results led us to the identification of essential factors for measuring the acceptance of an e-learning system. Furthermore, the combination of DeLone and McLean, UTAUT, and the Workforce agility model led us to the definition of new relations among e-learning system success factors. Accordingly, in the end, we provided results including new model and relationships within, together with the implications for using our findings.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"40 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85691836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751310
Sofija Krstev, Dragoljub Krneta
In this paper, an approach to development of Key Performance Indicators (KPIs) in electricity supply in the reformed electricity market is presented. The process of defining KPIs for stakeholders depends on their day-today focus and goals they are looking to achieve. This paper shows one way of creating, tracking and analysing KPIs using data warehouse and business intelligence system.
{"title":"Data Warehouse to Support Creation of Key Performance Indicators (KPIs) in Electricity Supply","authors":"Sofija Krstev, Dragoljub Krneta","doi":"10.1109/INFOTEH53737.2022.9751310","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751310","url":null,"abstract":"In this paper, an approach to development of Key Performance Indicators (KPIs) in electricity supply in the reformed electricity market is presented. The process of defining KPIs for stakeholders depends on their day-today focus and goals they are looking to achieve. This paper shows one way of creating, tracking and analysing KPIs using data warehouse and business intelligence system.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"9 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82691299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751289
I. Stoev, S. Zaharieva, A. Borodzhieva
The paper presents a mobile application developed for exchanging information via the Internet of Things (IoT) technology between an electronic module for energy source management and an electronic system for control of energy flows in residential premises to achieve temperature comfort and reduce the financial costs of a household for electricity. The electronic system is comprised of an energy module that calculates the energy flows based on the geometry and thermal properties of the room, controllable energy source, and mobile application. The mobile application is used to manage the schedule, holiday mode, time, and temperature settings of the system. The mobile application has the ability to register smartphones that are used to detect the presence of inhabitants of the premises. The communication between the system for the management of energy flows and the mobile application is based on the MQTT protocol. The system sends the status of the sensors for measuring the temperature inside and outside the room to the mobile application for displaying the turned off and remaining sensors. The developed system and application are used in the University of Ruse „Angel Kanchev”.
{"title":"Internet of Things (IoT) Application for Temperature Control in Residential Premises","authors":"I. Stoev, S. Zaharieva, A. Borodzhieva","doi":"10.1109/INFOTEH53737.2022.9751289","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751289","url":null,"abstract":"The paper presents a mobile application developed for exchanging information via the Internet of Things (IoT) technology between an electronic module for energy source management and an electronic system for control of energy flows in residential premises to achieve temperature comfort and reduce the financial costs of a household for electricity. The electronic system is comprised of an energy module that calculates the energy flows based on the geometry and thermal properties of the room, controllable energy source, and mobile application. The mobile application is used to manage the schedule, holiday mode, time, and temperature settings of the system. The mobile application has the ability to register smartphones that are used to detect the presence of inhabitants of the premises. The communication between the system for the management of energy flows and the mobile application is based on the MQTT protocol. The system sends the status of the sensors for measuring the temperature inside and outside the room to the mobile application for displaying the turned off and remaining sensors. The developed system and application are used in the University of Ruse „Angel Kanchev”.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"26 1","pages":"1-5"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83078874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751332
D. C. Dursun, A. Yıldız, M. Polat
Synchronous reluctance motors are electrical machines that can generate mechanical energy with the principle of reluctance torque. Synchronous reluctance motors have no windings or magnets in their rotor. Therefore, they have a cheap and robust structure. The necessity of the motor driver and the high torque ripple are the disadvantages of these motors. These motors have become a widely studied machine in the field of electrical machines with the widespread use of power electronic based motor driving methods. The driver circuit of synchronous reluctance motor needs the rotor angular position to make the necessary switching. In this study, the d-q model of this motor, which has been developed in terms of performance and has increased in application in recent years, has been studied and open and closed loop speed control has been investigated. Simulation studies have been carried out in Matlab/Simulink. The accuracy of the model has been verified with the obtained results.
{"title":"Modeling of Synchronous Reluctance Motor and Open and Closed Loop Speed Control","authors":"D. C. Dursun, A. Yıldız, M. Polat","doi":"10.1109/INFOTEH53737.2022.9751332","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751332","url":null,"abstract":"Synchronous reluctance motors are electrical machines that can generate mechanical energy with the principle of reluctance torque. Synchronous reluctance motors have no windings or magnets in their rotor. Therefore, they have a cheap and robust structure. The necessity of the motor driver and the high torque ripple are the disadvantages of these motors. These motors have become a widely studied machine in the field of electrical machines with the widespread use of power electronic based motor driving methods. The driver circuit of synchronous reluctance motor needs the rotor angular position to make the necessary switching. In this study, the d-q model of this motor, which has been developed in terms of performance and has increased in application in recent years, has been studied and open and closed loop speed control has been investigated. Simulation studies have been carried out in Matlab/Simulink. The accuracy of the model has been verified with the obtained results.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"36 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88097693","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751270
Dario Javor, N. Raicevic
Global adoption and use of battery electric vehicles (BEVs) is limited by their prices, driving ranges and insufficient charging infrastructure. The driving range depends on vehicle efficiency, aging, battery capacity, driving conditions, ambient temperature, etc. The effect of ambient temperature on the costs of battery electric vehicles charging in a microgrid is analyzed in this paper. The schedule of charging/discharging electric vehicles is optimized so to minimize the energy costs of the microgrid according to the day ahead energy prices given per hour. The microgrid has photovoltaic panels with estimated energy production, and it is connected to the main grid. Optimization of the microgrid electricity costs is done in program Lingo.
{"title":"The Effect of Ambient Temperature on the Costs of Battery Electric Vehicles Charging in the Microgrid","authors":"Dario Javor, N. Raicevic","doi":"10.1109/INFOTEH53737.2022.9751270","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751270","url":null,"abstract":"Global adoption and use of battery electric vehicles (BEVs) is limited by their prices, driving ranges and insufficient charging infrastructure. The driving range depends on vehicle efficiency, aging, battery capacity, driving conditions, ambient temperature, etc. The effect of ambient temperature on the costs of battery electric vehicles charging in a microgrid is analyzed in this paper. The schedule of charging/discharging electric vehicles is optimized so to minimize the energy costs of the microgrid according to the day ahead energy prices given per hour. The microgrid has photovoltaic panels with estimated energy production, and it is connected to the main grid. Optimization of the microgrid electricity costs is done in program Lingo.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"8 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78902543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-03-16DOI: 10.1109/INFOTEH53737.2022.9751312
Arash Safavizadeh, Erfan Mostajeran, S. Ebrahimi, J. Jatskevich
Equal area criterion (EAC) has an equivalent concept to Lyapunov's energy function method and has been widely used for analyzing the transient behavior of synchronous generators (SGs) in power systems. This paper investigates various torque-angle characteristics of SGs that can be utilized along with the EAC approach for transient stability analysis (TSA). In addition to the two well-known transient characteristics that have been commonly used in the literature, a new transient torque-angle characteristic for SGs is introduced which uses transient reactance values in both $d$ and $q$ axes. Then, the error of EAC method in the calculation of critical clearing angle (CCA) and critical clearing time (CCT) is determined with different torque-angle characteristics for SGs, using computer simulations of a single-machine infinite-bus (SMIB) system. The calculated CCA and CCT values are compared and the accuracy of the subject characteristics for TSA are discussed.
{"title":"Investigation of Torque-Angle Characteristics of Synchronous Generators for Transient Stability Analysis Using Equal Area Criterion","authors":"Arash Safavizadeh, Erfan Mostajeran, S. Ebrahimi, J. Jatskevich","doi":"10.1109/INFOTEH53737.2022.9751312","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751312","url":null,"abstract":"Equal area criterion (EAC) has an equivalent concept to Lyapunov's energy function method and has been widely used for analyzing the transient behavior of synchronous generators (SGs) in power systems. This paper investigates various torque-angle characteristics of SGs that can be utilized along with the EAC approach for transient stability analysis (TSA). In addition to the two well-known transient characteristics that have been commonly used in the literature, a new transient torque-angle characteristic for SGs is introduced which uses transient reactance values in both $d$ and $q$ axes. Then, the error of EAC method in the calculation of critical clearing angle (CCA) and critical clearing time (CCT) is determined with different torque-angle characteristics for SGs, using computer simulations of a single-machine infinite-bus (SMIB) system. The calculated CCA and CCT values are compared and the accuracy of the subject characteristics for TSA are discussed.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"35 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81031407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Prevention and early detection of plant diseases is one of the main issues and challenges in agriculture. Farmers spend a lot of time observing and detecting diseased plants, often by looking at and analyzing plant leaves. Inadequate handling of plant disease such as late detection or the use of wrong pesticides often causes damage to crops, which causes a deterioration in the quality of food. This problem could be addressed using artificial intelligence and machine learning to detect plant diseases by processing digital images of leaves. As the leaf is the best indicator of whether the plant is healthy or not, by applying machine learning we can create predication models to detect the condition of the leaf in a shorter period of time and possibly prevent or reduce the losses. This paper describes experimenting with Detectron2 software library and Faster R-CNN neural network in order to detect the condition of the leaf. A dataset containing 6407 images was used to train the model. The original dataset has been extended by augmenting images using the RoboFlow tool. The experimentation and implementation was done using Google Colab, environment designed for cloud computing and machine learning development.
{"title":"Detection of Plant Diseases Using Leaf Images and Machine Learning","authors":"Almira Suljović, Stevan Cakic, Tomo Popović, Stevan Sandi","doi":"10.1109/INFOTEH53737.2022.9751245","DOIUrl":"https://doi.org/10.1109/INFOTEH53737.2022.9751245","url":null,"abstract":"Prevention and early detection of plant diseases is one of the main issues and challenges in agriculture. Farmers spend a lot of time observing and detecting diseased plants, often by looking at and analyzing plant leaves. Inadequate handling of plant disease such as late detection or the use of wrong pesticides often causes damage to crops, which causes a deterioration in the quality of food. This problem could be addressed using artificial intelligence and machine learning to detect plant diseases by processing digital images of leaves. As the leaf is the best indicator of whether the plant is healthy or not, by applying machine learning we can create predication models to detect the condition of the leaf in a shorter period of time and possibly prevent or reduce the losses. This paper describes experimenting with Detectron2 software library and Faster R-CNN neural network in order to detect the condition of the leaf. A dataset containing 6407 images was used to train the model. The original dataset has been extended by augmenting images using the RoboFlow tool. The experimentation and implementation was done using Google Colab, environment designed for cloud computing and machine learning development.","PeriodicalId":6839,"journal":{"name":"2022 21st International Symposium INFOTEH-JAHORINA (INFOTEH)","volume":"6 1","pages":"1-4"},"PeriodicalIF":0.0,"publicationDate":"2022-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81153031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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