Aleksandar Karadimce

Macedonia, the former Yugoslav Republic of University St. Paul the Apostle - Ohrid

ORCID
Published in 2020
Guided Analytics Software for Smart Aggregation, Cognition and Interactive Visualisation
Guided analytics Data aggregation Geospatial Temporal
Authors: A. Karadimce, N. Paunkoska (Dimoska), D. Capeska Bogatinoska, N. Marina, and A. Nandal
Journal: Springer Nature Singapore Pte Ltd. 2021
Description:
The development of tools that improve efficiency and inject intelligent insights into social media businesses through guided analytics is crucial for consumers, prosumers, and business markets. These tools enable contextualised socially aware and spatial-temporal data aggre-gation, knowledge extraction, cognitive learning about users' behaviour, and risk quantification for business markets. The proposed Tools for Ana-lytics and Cognition framework will provide a tool-set of guided analytics software for smart aggregation, cognition and interactive visualisation with a monitoring dashboard. The aggregation, monitoring, cognitive reasoning, and learning modules will analyse the behaviour and engagement of the social media actors, diagnose performance risks and provide guided analytics to consumers, prosumers and application providers to improve collaboration and revenues, using the established Pareto-trust model. This framework will provide a seamless coupling with distributed blockchain-based services for early alert, real-time tracking and updated data triggers for reach and engagement analysis of events. Moreover, this will allow users to analyse, control and track their Return on Investment to enhance monetary inclusion in collaborative social media.
ORCID
Published in 2020
Tools for Analytics and Cognition Framework for a Car-Sharing Use Case
Guided Analytics Data Aggregation Microservices Social Media
Authors: A. Karadimce, D. Capeska Bogatinoska, M. Sefidanoski, N. Paunkoska Dimoska, N. Marina
Journal: 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO)
Description:
The development of tools that can improve efficiency and inject intelligent insights into operational and mission-critical social media businesses through guided analytics is crucial for consumers, prosumers, and business markets. These tools will provide contextualised socially aware and spatial-temporal data aggregation, knowledge extraction, cognitive learning about users` behaviour, and risk quantification for the car-sharing use case. The proposed Tools for Analytics and Cognition (TAC) framework will provide a tool-set of guided analytics software for smart aggregation, cognition and interactive visualisation with a monitoring dashboard for the car-sharing use cases. The proposed TAC framework uses the dashboard to visually analyse the behaviour and engagement of the social media actors, diagnose performance risks and provide guided analytics to consumer prosumers and application providers to improve collaboration and revenues, using the established car-sharing qualitative mapping model. This framework has supplied a seamless coupling with distributed blockchain-based services for early alert, real-time tracking and updated data triggers for reach and engagement analysis of car-sharing events. Moreover, the TAC framework will allow car-sharing providers to analyse, control and track their investment to enhance monetary inclusion in the collaborative social media ecosystem.
ORCID
Published in 2019
ARTICONF: Towards a Smart Social Media Ecosystem in a Blockchain Federated Environment
Decentralized social media Cloud and edge computing Trust Privacy
Authors: R. Prodan, N. Saurabh, Z. Zhao, K. O. Johnson, A. Chakravorty, A. Karadimce and A. Ulisses
Journal: Springer Nature Switzerland AG 2020
Description:
The ARTICONF project funded by the European Horizon 2020 program addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises critical in proprietary social media platforms. It aims to: (1) simplify the creation of open and agile social media ecosystem with trusted participation using a two stage permissioned blockchain; (2) automatically detect interest groups and communities using graph anonymization techniques for decentralised and tokenized decision-making and reasoning; (3) elastically autoscale timecritical social media applications through an adaptive orchestrated Cloud edge-based infrastructure meeting application runtime requirements; and (4) enhance monetary inclusion in collaborative models through cognition and knowledge supply chains. We summarize the initial envisaged architecture of the ARTICONF ecosystem, the industrial pilot use cases for validating it, and the planned innovations compared to related other European research projects.
ORCID
Published in 2019
Towards smart social media ecosystem in a blockchain federated environment
Authors: -
Journal: Zenodo
ORCID
Published in 2018
Towards Improved Model for UserSatisfaction Assessment of MultimediaCloud Services
Authors: Aleksandar Karadimce and Danco Davcev
Journal: Journal of Mobile Multimedia
ORCID
Published in 2018
Smart Mobile City Services in the 5G Era
Mobile services Smart City 5G Quality of Experience
Authors: A. Karadimce, N. Marina
Journal: 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops
Description:
The major strength of the smart city concept consists of an efficient gathering of the citizens data using the fast and reliable communication infrastructure and ICT integration of different municipality sectors. The introduction of smart city will allow the creation of sustainable economic development and high quality of life by improving the key areas, such as the economy, mobility, environment, people, living, and government. The use of 5G technology in the smart city concept will enhance performance and welfare; it will also reduce cost and resource consumption. The major benefit of the smart services is that they provide multi-tenancy, shared infrastructure, multi-service, context-aware adaptation and optimized QoS/QoE mechanism according to the service needed and the infrastructure state. In that way, these services will improve the quality of life for citizens and will deliver a better user experience.
ORCID
Published in 2017
Bayesian Network Model for Estimating User Satisfaction of Multimedia Cloud Services
Authors: Aleksandar Karadimce and Danco Davcev
Journal: Proceedings of the 15th International Conference on Advances in Mobile Computing & Multimedia
ORCID
Published in 2016
Perception of quality in cloud computing based services
Authors: Aleksandar Karadimce and Danco Davcev
Journal: 2016 Eighth International Conference on Quality of Multimedia Experience (QoMEX)
ORCID
Published in 2016
Classification of fall detection in elderly persons based on smart phone data
Authors: Pranesh Vallabh, Reza Malekian, Ning Ye, Dijana Capeska Bogatinoska, Aleksandar Karadimce, Jozef Ritonja
Journal: Journal of Biotechnology
ORCID
Published in 2016
Is the Fractal Dimension of the Contour-lines a Reliable Tool for Classification of Medical Images?
Authors: -
Journal: MATEC Web of Conferences