Zdraveski, Vladimir
Preferred name
Zdraveski, Vladimir
Official Name
Zdraveski, Vladimir
Main Affiliation
Email
vladimir.zdraveski@finki.ukim.mk
58 results
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Item type:Publication, Dynamic intelligent load balancing in power distribution networks(Elsevier BV, 2015-12); ; Kocarev, Ljupco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Parallel Near-Duplicate Document Detection Using General-Purpose GPU(Central Library of the Slovak Academy of Sciences, 2024); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Dynamic Load Balancing and Reactive Power Compensation Switch Embedded in Power Meters(Institute of Electrical and Electronics Engineers (IEEE), 2017-04); ; ; Kocarev, Ljupco - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Programmable vs. Fixed-Function Pipeline in Real-Time Computer Graphics(IEEE, 2019-07); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Parallelizing Dynamic Time Warping Algorithm for Hotel Occupancy Time Series Similarity Measurement(IEEE, 2024-05-20); - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Parallelizing file-type conversion for financial analysis(IEEE, 2023-11); Data analysis has gained significant traction, particularly in the era of artificial intelligence, offering novel approaches for financial data analysis. However, a data storage challenge arises prior to analysis. Financial data is commonly stored in the XLSX format, whereas for faster analysis and reduced server storage, the preferred format is CSV. This paper investigates the acceleration of XLSX to CSV conversion. The XLSX file’s main content is represented as a tree structure in XML format. Leveraging the independent nature of rows and files, we propose two methods for parallelizing the conversion process: single file parallelization and simultaneous parallel conversion of multiple files. Our results demonstrate the effectiveness of parallelization, resulting in reduced workflow waiting times. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Parallelization of Dijkstra’s Algorithm for Robot Motion Planning: Is It Worth Increasing Speed Without Losing Accuracy?(IEEE, 2022-11-15); ; This paper examines the problem of parallelizing Dijkstra’s algorithm, as an algorithm for robot motion planning was a challenge to twist the algorithm in such a way so it can be executed in parallel, rather than sequentially. In this paper, we test the validity of a research hypothesis that the speed of Dijkstra’s algorithm can be increased by parallelizing and keeping the same accuracy. The developed use-case of Dijkstra’s algorithm as a robot motion planning algorithm was tested against performance, both in execution speed and accuracy. Finally, we elaborate on the benefits of this parallelizing approach. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Leveraging Smartphones for Distributed Global Navigation Satellite System Post-Processing(IEEE, 2021); ; Smartphones play an important role in today’s society. Although their performance increases rapidly, we are witnesses of their small average daily usage. In this paper, we focus on executing post-processing tasks required for the growing amount of daily generated GNSS data. The research hypothesis is to check whether we can take an advantage to use smartphones while they are idle for such kind of post-processing. We have realized a prototype model and measured the performance as a proof of concept use-case to provide evidence if such an implementation is effective. - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Implementation of Green IT concepts in R. Macedonia(2013); ; Gavrilovska, DanielaGreen IT represents a collection of strategic and tactical initiatives which directly decrease carbon dioxide emissions caused by the computer usage of companies in many different ways. The contribution of this paper to the scientific discussion of Green IT is based on the research done among Macedonian companies and it proposes practices that will help improve the adoptability of Green IT in R. Macedonia.