Čabarkapa, Milan

Link to this page

Authority KeyName Variants
47d32ff3-6b99-485e-8a6f-453e028065ae
  • Čabarkapa, Milan (4)
Projects
No records found.

Author's Bibliography

One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education

Ranđelović, Milan; Aleksić, Aleksandar; Radovanović, Radovan; Stojanović, Vladica; Čabarkapa, Milan; Ranđelović, Dragan

(Basel : MDPI, 2022)

TY  - JOUR
AU  - Ranđelović, Milan
AU  - Aleksić, Aleksandar
AU  - Radovanović, Radovan
AU  - Stojanović, Vladica
AU  - Čabarkapa, Milan
AU  - Ranđelović, Dragan
PY  - 2022
UR  - https://jakov.kpu.edu.rs/handle/123456789/1633
AB  - In this paper, one multidisciplinary-applicable aggregated model has been proposed and verified. This model uses traditional techniques, on the one hand, and algorithms of machine learning as modern techniques, on the other hand, throughout the determination process of the relevance of model attributes for solving any problems of multicriteria decision. The main goal of this model is to take advantage of both approaches and lead to better results than when the techniques are used alone. In addition, the proposed model uses feature selection methodology to reduce the number of attributes, thus increasing the accuracy of the model. We have used the traditional method of regression analysis combined with the well-known mathematical method Analytic Hierarchy Process (AHP). This approach has been combined with the application of the ReliefF classificatory modern ranking method of machine learning. Last but not least, the decision tree classifier J48 has been used for aggregation purposes. Information on grades of the first-year graduate students at the Criminalistics and Police University, Belgrade, after they chose and finished one of the three possible study modules, was used for the evaluation of the proposed model. To the best knowledge of the authors, this work is the first work when considering mining closed frequent trees in case of the streaming of time-varying data.
PB  - Basel : MDPI
T2  - Mathematics
T1  - One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education
VL  - 10
IS  - 14
SP  - 2381
DO  - 10.3390/math10142381
ER  - 
@article{
author = "Ranđelović, Milan and Aleksić, Aleksandar and Radovanović, Radovan and Stojanović, Vladica and Čabarkapa, Milan and Ranđelović, Dragan",
year = "2022",
abstract = "In this paper, one multidisciplinary-applicable aggregated model has been proposed and verified. This model uses traditional techniques, on the one hand, and algorithms of machine learning as modern techniques, on the other hand, throughout the determination process of the relevance of model attributes for solving any problems of multicriteria decision. The main goal of this model is to take advantage of both approaches and lead to better results than when the techniques are used alone. In addition, the proposed model uses feature selection methodology to reduce the number of attributes, thus increasing the accuracy of the model. We have used the traditional method of regression analysis combined with the well-known mathematical method Analytic Hierarchy Process (AHP). This approach has been combined with the application of the ReliefF classificatory modern ranking method of machine learning. Last but not least, the decision tree classifier J48 has been used for aggregation purposes. Information on grades of the first-year graduate students at the Criminalistics and Police University, Belgrade, after they chose and finished one of the three possible study modules, was used for the evaluation of the proposed model. To the best knowledge of the authors, this work is the first work when considering mining closed frequent trees in case of the streaming of time-varying data.",
publisher = "Basel : MDPI",
journal = "Mathematics",
title = "One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education",
volume = "10",
number = "14",
pages = "2381",
doi = "10.3390/math10142381"
}
Ranđelović, M., Aleksić, A., Radovanović, R., Stojanović, V., Čabarkapa, M.,& Ranđelović, D.. (2022). One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education. in Mathematics
Basel : MDPI., 10(14), 2381.
https://doi.org/10.3390/math10142381
Ranđelović M, Aleksić A, Radovanović R, Stojanović V, Čabarkapa M, Ranđelović D. One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education. in Mathematics. 2022;10(14):2381.
doi:10.3390/math10142381 .
Ranđelović, Milan, Aleksić, Aleksandar, Radovanović, Radovan, Stojanović, Vladica, Čabarkapa, Milan, Ranđelović, Dragan, "One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education" in Mathematics, 10, no. 14 (2022):2381,
https://doi.org/10.3390/math10142381 . .
2

Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool

Ranđelović, Milan; Nedeljković, Slobodan; Jovanović, Mihailo; Čabarkapa, Milan; Stojanović, Vladica; Aleksić, Aleksandar; Ranđelović, Dragan

(Basel : MDPI, 2020)

TY  - JOUR
AU  - Ranđelović, Milan
AU  - Nedeljković, Slobodan
AU  - Jovanović, Mihailo
AU  - Čabarkapa, Milan
AU  - Stojanović, Vladica
AU  - Aleksić, Aleksandar
AU  - Ranđelović, Dragan
PY  - 2020
UR  - https://jakov.kpu.edu.rs/handle/123456789/1653
AB  - One of the essential activities for sustainable local economic development is continuous improvement of business environment which can be carried out through the business-friendly certification as objective benchmarking process, which is influenced by many factors - criteria that could be analyzed using multi-criteria decision-making methods. Determining criteria weights is the most important task regarding these methods for which a number of methodologies based on different approaches were developed. These methodologies could be generally divided into two groups: subjective and objective. Shortly, these methodologies quantify given preferences using knowledge of experts if they are subjective or using calculations from available data if they are objective. Methodologies from these two groups give different results in a wide range of values. Therefore, it is useful to create composite indicators using aggregation of both approaches in order to reduce the influence of their bad individual characteristics and, therefore, achieve a balanced symmetrical approach. The purpose of this paper is constructing one efficient model that solves a problem of the planning of sustainable local economic development in the Republic of Serbia. Our approach uses the aggregation of the entropy method, as one objective approach, and the analytical hierarchy process, as a subjective approach, in executing business-friendly certification process. The implementation of the proposed approach has been demonstrated as a part of a business-to-government (B2G) platform called “Multi-Criteria Support System for Analysis of the Local Economic Environment” in the City of Niš.
PB  - Basel : MDPI
T2  - Symmetry
T1  - Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool
VL  - 12
IS  - 2
SP  - 425
DO  - 10.3390/sym12030425
ER  - 
@article{
author = "Ranđelović, Milan and Nedeljković, Slobodan and Jovanović, Mihailo and Čabarkapa, Milan and Stojanović, Vladica and Aleksić, Aleksandar and Ranđelović, Dragan",
year = "2020",
abstract = "One of the essential activities for sustainable local economic development is continuous improvement of business environment which can be carried out through the business-friendly certification as objective benchmarking process, which is influenced by many factors - criteria that could be analyzed using multi-criteria decision-making methods. Determining criteria weights is the most important task regarding these methods for which a number of methodologies based on different approaches were developed. These methodologies could be generally divided into two groups: subjective and objective. Shortly, these methodologies quantify given preferences using knowledge of experts if they are subjective or using calculations from available data if they are objective. Methodologies from these two groups give different results in a wide range of values. Therefore, it is useful to create composite indicators using aggregation of both approaches in order to reduce the influence of their bad individual characteristics and, therefore, achieve a balanced symmetrical approach. The purpose of this paper is constructing one efficient model that solves a problem of the planning of sustainable local economic development in the Republic of Serbia. Our approach uses the aggregation of the entropy method, as one objective approach, and the analytical hierarchy process, as a subjective approach, in executing business-friendly certification process. The implementation of the proposed approach has been demonstrated as a part of a business-to-government (B2G) platform called “Multi-Criteria Support System for Analysis of the Local Economic Environment” in the City of Niš.",
publisher = "Basel : MDPI",
journal = "Symmetry",
title = "Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool",
volume = "12",
number = "2",
pages = "425",
doi = "10.3390/sym12030425"
}
Ranđelović, M., Nedeljković, S., Jovanović, M., Čabarkapa, M., Stojanović, V., Aleksić, A.,& Ranđelović, D.. (2020). Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool. in Symmetry
Basel : MDPI., 12(2), 425.
https://doi.org/10.3390/sym12030425
Ranđelović M, Nedeljković S, Jovanović M, Čabarkapa M, Stojanović V, Aleksić A, Ranđelović D. Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool. in Symmetry. 2020;12(2):425.
doi:10.3390/sym12030425 .
Ranđelović, Milan, Nedeljković, Slobodan, Jovanović, Mihailo, Čabarkapa, Milan, Stojanović, Vladica, Aleksić, Aleksandar, Ranđelović, Dragan, "Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool" in Symmetry, 12, no. 2 (2020):425,
https://doi.org/10.3390/sym12030425 . .
9

Useful Python libraries for creating IDS software

Babić, Ivan; Maksimović, Aleksa; Nedeljković, Slobodan; Jovanović, Mihailo; Čabarkapa, Milan; Randjelović, Dragan

(Belgrade : University of Criminal Investigation and Police Studies, 2019)

TY  - CONF
AU  - Babić, Ivan
AU  - Maksimović, Aleksa
AU  - Nedeljković, Slobodan
AU  - Jovanović, Mihailo
AU  - Čabarkapa, Milan
AU  - Randjelović, Dragan
PY  - 2019
UR  - http://jakov.kpu.edu.rs/handle/123456789/1369
AB  - This  paper  considers  contours  of  the  possibilities  of  applying  the selected Python libraries in order to detect intrusion attacks whose purpose is to penetrate secured network or secured computer. This paper elaborates Python  libraries  that  can  be  used  for  monitoring  network  traffic  and  eventually use them for making IDS software (Intrusion detection system). After preview of libraries with those capabilities, a very simple use case of IDS soft ware  solution  is  going  to  be  presented,  so  that  the  readers  can  see  how  the  mentioned libraries can be used for that kind of software.
PB  - Belgrade : University of Criminal Investigation and Police Studies
C3  - Thematic conference proceedings of international significance. Vol. 2 / International scientific conference "Archibald Reiss Days", Belgrade, 6-7 November 2019.
T1  - Useful Python libraries  for creating IDS software
SP  - 337
EP  - 347
UR  - https://hdl.handle.net/21.15107/rcub_jakov_1369
ER  - 
@conference{
author = "Babić, Ivan and Maksimović, Aleksa and Nedeljković, Slobodan and Jovanović, Mihailo and Čabarkapa, Milan and Randjelović, Dragan",
year = "2019",
abstract = "This  paper  considers  contours  of  the  possibilities  of  applying  the selected Python libraries in order to detect intrusion attacks whose purpose is to penetrate secured network or secured computer. This paper elaborates Python  libraries  that  can  be  used  for  monitoring  network  traffic  and  eventually use them for making IDS software (Intrusion detection system). After preview of libraries with those capabilities, a very simple use case of IDS soft ware  solution  is  going  to  be  presented,  so  that  the  readers  can  see  how  the  mentioned libraries can be used for that kind of software.",
publisher = "Belgrade : University of Criminal Investigation and Police Studies",
journal = "Thematic conference proceedings of international significance. Vol. 2 / International scientific conference "Archibald Reiss Days", Belgrade, 6-7 November 2019.",
title = "Useful Python libraries  for creating IDS software",
pages = "337-347",
url = "https://hdl.handle.net/21.15107/rcub_jakov_1369"
}
Babić, I., Maksimović, A., Nedeljković, S., Jovanović, M., Čabarkapa, M.,& Randjelović, D.. (2019). Useful Python libraries  for creating IDS software. in Thematic conference proceedings of international significance. Vol. 2 / International scientific conference "Archibald Reiss Days", Belgrade, 6-7 November 2019.
Belgrade : University of Criminal Investigation and Police Studies., 337-347.
https://hdl.handle.net/21.15107/rcub_jakov_1369
Babić I, Maksimović A, Nedeljković S, Jovanović M, Čabarkapa M, Randjelović D. Useful Python libraries  for creating IDS software. in Thematic conference proceedings of international significance. Vol. 2 / International scientific conference "Archibald Reiss Days", Belgrade, 6-7 November 2019.. 2019;:337-347.
https://hdl.handle.net/21.15107/rcub_jakov_1369 .
Babić, Ivan, Maksimović, Aleksa, Nedeljković, Slobodan, Jovanović, Mihailo, Čabarkapa, Milan, Randjelović, Dragan, "Useful Python libraries  for creating IDS software" in Thematic conference proceedings of international significance. Vol. 2 / International scientific conference "Archibald Reiss Days", Belgrade, 6-7 November 2019. (2019):337-347,
https://hdl.handle.net/21.15107/rcub_jakov_1369 .

SOSerbia: Android-Based Software Platform for Sending Emergency Messages

Jovanović, Mihailo; Babić, Ivan; Čabarkapa, Milan; Mišić, Jelena; Mijalković, Saša; Nikolić, Vojkan; Ranđelović, Dragan

(Hindawi Limited, 2018)

TY  - JOUR
AU  - Jovanović, Mihailo
AU  - Babić, Ivan
AU  - Čabarkapa, Milan
AU  - Mišić, Jelena
AU  - Mijalković, Saša
AU  - Nikolić, Vojkan
AU  - Ranđelović, Dragan
PY  - 2018
UR  - http://jakov.kpu.edu.rs/handle/123456789/834
AB  - This paper presents Android-based SOS platform named SOSerbia for sending emergency messages by citizens in Serbia. The heart of the platform is SOS client Android application which is an easy and simple solution for sending SOS messages with unique combination of volume buttons. The proposed platform solves a lot of safety, security, and emergency problems for people who can be in dangerous situations. After a person presses a correct combination of buttons, a message with his or her location is sent to the operating center of the Serbian Police. The platform merges several appropriately combined advanced Android technologies into one complete solution. The proposed solution also uses the Google location API for getting user's location and Media Player broadcast receiver for reading pressed buttons for volume. This logic can be also customized for any other mobile operating system. In other words, the proposed architecture can be also implemented in iOS or Windows OS. It should be noted that the proposed architecture is optimized for different mobile devices. It is also implemented with simple widget and background process based on location. The proposed platform is experimentally demonstrated as a part of emergency response center at the Ministry of Interior of the Republic of Serbia. This platform overcomes real-life problems that other state-of-the-art solutions introduce and can be applied and integrated easily in any national police and e-government systems.
PB  - Hindawi Limited
T2  - Complexity
T1  - SOSerbia: Android-Based Software Platform for Sending Emergency Messages
DO  - 10.1155/2018/8283919
ER  - 
@article{
author = "Jovanović, Mihailo and Babić, Ivan and Čabarkapa, Milan and Mišić, Jelena and Mijalković, Saša and Nikolić, Vojkan and Ranđelović, Dragan",
year = "2018",
abstract = "This paper presents Android-based SOS platform named SOSerbia for sending emergency messages by citizens in Serbia. The heart of the platform is SOS client Android application which is an easy and simple solution for sending SOS messages with unique combination of volume buttons. The proposed platform solves a lot of safety, security, and emergency problems for people who can be in dangerous situations. After a person presses a correct combination of buttons, a message with his or her location is sent to the operating center of the Serbian Police. The platform merges several appropriately combined advanced Android technologies into one complete solution. The proposed solution also uses the Google location API for getting user's location and Media Player broadcast receiver for reading pressed buttons for volume. This logic can be also customized for any other mobile operating system. In other words, the proposed architecture can be also implemented in iOS or Windows OS. It should be noted that the proposed architecture is optimized for different mobile devices. It is also implemented with simple widget and background process based on location. The proposed platform is experimentally demonstrated as a part of emergency response center at the Ministry of Interior of the Republic of Serbia. This platform overcomes real-life problems that other state-of-the-art solutions introduce and can be applied and integrated easily in any national police and e-government systems.",
publisher = "Hindawi Limited",
journal = "Complexity",
title = "SOSerbia: Android-Based Software Platform for Sending Emergency Messages",
doi = "10.1155/2018/8283919"
}
Jovanović, M., Babić, I., Čabarkapa, M., Mišić, J., Mijalković, S., Nikolić, V.,& Ranđelović, D.. (2018). SOSerbia: Android-Based Software Platform for Sending Emergency Messages. in Complexity
Hindawi Limited..
https://doi.org/10.1155/2018/8283919
Jovanović M, Babić I, Čabarkapa M, Mišić J, Mijalković S, Nikolić V, Ranđelović D. SOSerbia: Android-Based Software Platform for Sending Emergency Messages. in Complexity. 2018;.
doi:10.1155/2018/8283919 .
Jovanović, Mihailo, Babić, Ivan, Čabarkapa, Milan, Mišić, Jelena, Mijalković, Saša, Nikolić, Vojkan, Ranđelović, Dragan, "SOSerbia: Android-Based Software Platform for Sending Emergency Messages" in Complexity (2018),
https://doi.org/10.1155/2018/8283919 . .
5
2
6