Darko Capko

Prof. Dr. Darko Capko


Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 September 2012 in Solar Energy
Verified
Journal Article
Closed access
VČVelimir Čongradac
Velimir Čongradac
MPMarta Prica
Marta Prica
MPMarija Paspalj
Marija Paspalj
DBDubravka Bojanić
Dubravka Bojanić
DCDarko Capko
Darko Capko

1 April 2019 in Journal of Cleaner Production
Verified
Journal Article
Closed access
SLSlađana Lazarević
Slađana Lazarević
VČVelimir Čongradac
Velimir Čongradac
AAAleksandar Andjelkovic
Aleksandar Andjelkovic
DCDarko Capko
Darko Capko
ŽKŽeljko Kanović
Željko Kanović

1 October 2014 in Journal of Applied Research and Technology
Verified
Journal Article
Open access
AEA. Erdeljan
A. Erdeljan
DCDarko Capko
Darko Capko
SVS. Vukmirovic
S. Vukmirovic
DBD. Bojanic
D. Bojanic
VCV. Congradac
V. Congradac
This paper presents a method for data model partitioning of power distribution network. Modern Distribution Management Systems which utilize multiprocessor systems for efficient processing of large data model are considered. The data model partitioning is carried out for parallelization of analytical power calculations. The proposed algorithms (Particle Swarm Optimization (PSO) and distributed PSO algorithms) are applied on data model describing large power distribution network. The experimental results of PSO and distributed PSO algorithms are presented. Distributed PSO algorithm achieves significantly better results than the basic PSO algorithm

1 October 2010
Verified
Conference Paper
Closed access
ILImre Lendak
Imre Lendak
AEAleksandar Erdeljan
Aleksandar Erdeljan
DCDarko Capko
Darko Capko
SVSrdan Vukmirovic
Srdan Vukmirovic
This paper analyzes various algorithms for the automatic generation of electric power system one-line diagrams. Historically these one-line diagrams were created manually. As these diagrams can be large, their manual creation takes a lot of time and resources, and it is also prone to errors. One possible solution to this problem is the automatic generation of one-line diagrams. Automatic visualization can be performed by existing rule-based algorithms, or if the network is modeled by a mathematical graph, then the problem can also be solved by graph drawing algorithms. Initial results achieved with soft computing algorithms will also be shown. We discuss the similarities, differences and applicability of these different algorithms in automatic one-line diagram generation. The final goal is to find the most suitable algorithm for the automatic generation of visually pleasing one-line diagrams, which allow dispatchers and engineers working in control centers a higher level of efficiency in performing their everyday tasks.

1 September 2010
Verified
Conference Paper
Closed access
ILI. Lendak
I. Lendak
MPM. Poth
M. Poth
DCDarko Capko
Darko Capko
SVS. Vukmirovic
S. Vukmirovic
AEA. Erdeljan
A. Erdeljan
This paper discusses an algorithm for automatic one-line diagram generation based on the genetic algorithm (GA). One-line diagrams are used in electric power system visualization which is very important in modern control centers for both online and offline operations as the graphical representations convey information to dispatchers and engineers allowing them to quickly isolate faults, optimize operation, find week spots, etc. The input of the automatic one-line diagram generation algorithm shown in this paper is an electric power system's representation in the IEC's standard Common Information Model (CIM) format. A mathematical graph is created from the model, by creating a vertex for each substation and an edge for each power line. As power distribution systems can be very large, containing even hundreds of thousands of substations, it can be argued that the graph has to be broken down into smaller components which are then visualized separately and then assembled by use of the genetic algorithm. The results shown in this paper are applicable to radial electric power distribution systems. This paper presents initial results and diagrams generated with the proposed algorithm for simplified power systems.

1 January 2023 in Computer Science and Information Systems
Verified
Journal Article
Open access
PDF file
Miroslav StefanovićMiroslav Stefanović
Miroslav Stefanović
ĐPĐorđe Pržulj
Đorđe Pržulj
DSDarko Stefanovic
Darko Stefanovic
SRSonja Ristic
Sonja Ristic
DCDarko Capko
Darko Capko
During the last couple of years, non-fungible tokens became the most prominent implementation of blockchain technology apart from cryptocurrencies. This is mainly due to their recent association with digital art, but the application of non-fungible tokens has been in the focus of researchers since the appearance of Blockchain 2.0. It was usually tightly coupled with the research on possible applications of blockchain technology in some real-life applications, such as land administration, healthcare, or supply chain management. Since the initial release of the Ethereum blockchain in 2015, until 2022, more than 44 million smart contracts have been created, and out of those that are still active, more than 70% are based on some prominent templates. In the Ethereum blockchain, the creation of nonfungible tokens is usually based on Ethereum Request for Comments 721. In this paper, the authors are proposing the creation of a new standard that would support fractional ownership of non-fungible tokens. Fractional ownership is necessary so non-fungible tokens and blockchain technology could be applied to an even wider number of use cases. This paper also presents an example of a possible implementation of the newly proposed standard in the Solidity programming language.