Bojan Lukic

Bojan Lukic
German Aerospace Center (DLR) | DLR · Institute of Flight Systems

Master of Science
Looking for partners developing avionics architectures.

About

4
Publications
988
Reads
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1
Citation
Citations since 2017
4 Research Items
1 Citation
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20172018201920202021202220230.00.51.01.52.0
20172018201920202021202220230.00.51.01.52.0
20172018201920202021202220230.00.51.01.52.0
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Introduction
Skills and Expertise
Systems Engineering
Computer Networking
Avionics
Data Analysis
Machine Learning
Additional affiliations
April 2021 - April 2022
Technische Universität Clausthal
Technische Universität Clausthal
  • Institute for Software and Systems Engineering
  • Clausthal-Zellerfeld, Germany
Position
  • Research Assistant
Description
  • Data analysis with statistical methods for multivariate signal data from complex software systems in the automotive inustry.

Publications

Publications (4)
Model-Based Systems Engineering for AI-Based Systems
Conference Paper
  • Jan 2023
In recent years, there has been significant progress in Artificial Intelligence (AI), leading to an increasing interest for integration of AI-based functions into newly developed systems. AI promises several benefits, amongst others, beyond the state-of-the-art functions and performance. However, the use of AI-techniques also introduces new challen...
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Intuitive solution for a n = 4 scenario segmentation of the test signal.
Intuitive solution for a n = 3 segmentation of the test signal.
Test signal with the optimal variance based segmentation.
Sample process contained in data set.
+5 Test signal with an arbitrary presegmentation.
Analysis of Patterns in Recorded Signals of Software Systems With a Variance Based Segmentation Algorithm
Article
Full-text available
  • Jan 2022
Due to the increasing complexity and interconnectedness of different components in modern automotive software systems there is a great number of interactions between these system components and their environment. These interactions result in unique temporal behaviors we call underlying scenarios. The signal data from all system components, which is...
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Fig. 1. The Machine Learning approach [2].
Fig. 2. ANNs performing simple logical computations [2].
Fig. 4. An MLP that solves the XOR classification problem [2].
Fig. 5. A recurrent neuron (left) unrolled through time (right) [2].
+10 Fig. 6. Deep RNN (left) unrolled through time (right) [2].
Applied Machine Learning Methods with Long-Short Term Memory Based Recurrent Neural Networks for Multivariate Temperature Prediction
Article
Full-text available
  • Jun 2020
This paper gives an overview on how to develop a dense and deep neural network for making a time series prediction. First, the history and cornerstones in Artificial Intelligence and Machine Learning will be presented. After a short introduction to the theory of Artificial Intelligence and Machine Learning, the paper will go deeper into the techniq...
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