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Your search keyword '"Nenad Stojanovic"' showing total 315 results
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315 results on '"Nenad Stojanovic"'

1. Cognitive Digital Twins for Resilience in Production: A Conceptual Framework

Author

Pavlos Eirinakis, Stavros Lounis, Stathis Plitsos, George Arampatzis, Kostas Kalaboukas, Klemen Kenda, Jinzhi Lu, Jože M. Rožanec, and Nenad Stojanovic

Subjects
digital twin, cognitive manufacturing, resilient manufacturing, industry 4.0, ISO 23247, optimization, Information technology, T58.5-58.64
Abstract

Digital Twins (DTs) are a core enabler of Industry 4.0 in manufacturing. Cognitive Digital Twins (CDTs), as an evolution, utilize services and tools towards enabling human-like cognitive capabilities in DTs. This paper proposes a conceptual framework for implementing CDTs to support resilience in production, i.e., to enable manufacturing systems to identify and handle anomalies and disruptive events in production processes and to support decisions to alleviate their consequences. Through analyzing five real-life production cases in different industries, similarities and differences in their corresponding needs are identified. Moreover, a connection between resilience and cognition is established. Further, a conceptual architecture is proposed that maps the tools materializing cognition within the DT core together with a cognitive process that enables resilience in production by utilizing CDTs.

Published
2022
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27. Picture-wise just noticeable difference prediction model for JPEG image quality assessment

Author

Boban Pavlovic, Set South, Boban Bondzulic, Nenad Stojanovic, and Vladimir Petrovic

Subjects
Military Science, just noticeable difference, jpeg compression, subjective and objective image quality assessment, TA1-2040, Engineering (General). Civil engineering (General), peak signalto-noise ratio
Abstract

Introduction/purpose: The paper presents interesting research related to the performance analysis of the picture-wise just noticeable difference (JND) prediction model and its application in the quality assessment of images with JPEG compression. Methods: The performance analysis of the JND model was conducted in an indirect way by using the publicly available results of subject-rated image datasets with the separation of images into two classes (above and below the threshold of visible differences). In the performance analysis of the JND prediction model and image quality assessment, five image datasets were used, four of which come from the visible wavelength range, and one dataset is intended for remote sensing and surveillance with images from the infrared part of the electromagnetic spectrum. Results: The pap 86 er shows that using a picture-wise JND model, subjective image quality assessment scores can be estimated with better accuracy, leading to significant performance improvements of the traditional peak signal-to-noise ratio (PSNR). The gain achieved by introducing the picture-wise JND model in the objective assessment depends on the chosen dataset and the results of the initial simple to compute PSNR measure, and it was obtained on all five datasets. The mean linear correlation coefficient (for five datasets) between subjective and PSNR objective quality estimates increased from 74% (traditional PSNR) to 90% (picture-wise JND PSNR). Conclusion: Further improvement of the JND-based objective measure can be obtained by improving the picture-wise model of JND prediction.

Published
2022

28. Soft outer measure and soft premeasure

Author

Nenad Stojanovic and Marija Boricic-Joksimovic

Subjects
General Mathematics
Abstract

Molodtsov introduced the concept of soft set as a new mathematical tool for dealing with problems treating uncertainties, and, later, Riaz at al. developed various concepts of soft sets. Here, we study the concept of soft semiring and soft premeasure and explore their basic properties. We define a [0,?]-valued function on some soft set E, that is not a soft ?-algebra, and then we extend this function to a measure on the soft ?-algebra generated by E. We also introduce various set functions like soft content and soft premeasures, and give their basic properties.

Published
2022
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