Paweł Rybka

Paweł Rybka
Silesian University of Technology · Institute of Electronics

MSc

About

6
Publications
698
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16
Citations

Publications

Publications (6)
Article
Full-text available
Barrier machines are a key component of automatic level crossing systems ensuring safety on railroad crossings. Their failure results not only in delayed railway transportation, but also puts human life at risk. To prevent faults in this critical safety element of automatic level crossing systems, it is recommended that fault and anomaly detection...
Article
Full-text available
The following paper presents advanced methods for evaluating the reliability of ADAS module readings, based on an analysis of the transient supply current. Changes in the transient current waveform occur due to environmental conditions and damage to a module's inner circuitry. Specific deviations in the waveforms may indicate a certain event – eith...
Article
Full-text available
Design and manufacturing of electronic modules is a difficult process - on the one hand there arises a problem of developing the inner circuitry of best possible performance, on the other hand -building it at the lowest possible price. When it comes to cutting expenses on production, even the smallest changes in materials can critically influence t...
Conference Paper
Advanced Driver Assistance Systems (ADAS) are essential parts for developing the autonomous vehicle concept. They cooperate with different on-board car equipment to make driving safe and comfortable. There are many ways to monitor their behaviour and assess their reliability. The presented solution combines the versatility of applications (it can b...
Conference Paper
For many years the detection of malware and preparation of the ways of preventing them have been treated as two distinct issues. Malware monitoring should provide information on how to detect the presence of malware and attempts to infect the system. The protecting systems using this information should identify and stop malware operation. This para...
Article
Day-to-day everywhere in the world grows a tendency automate various areas of our everyday life. For many recent years worldwide companies compete with each other in developing a conception of fully automated, autonomous car. Such idea is now being analyzed and investigated by scientists at universities and engineers from automotive companies. This...

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Projects

Project (1)
Project
The scientific objective of the AutoUniMo project is a fusion between emerging research areas (RA) in engineering like Component Based Automation (CBA), Virtual Factories (VF) and advanced IT methods like Data Mining (DM) , Artificial Intelligence (AI) and Multi-Agent Systems (MAS). Researches will be conducted in Manufacturing Execution Systems (MES) applied in short series production, Advanced Driver Assistance Systems (ADAS) and control systems dedicated for energy efficient production in automotive. Proper identification of patterns and data structures available in production systems will allow to find more efficient ways for converting raw materials into useful goods within given industrial production process. AutoUniMo consortium gathers academic and industrial partners for which modern methods used in production systems are the critical path of their activity. Industrial partner Continetal is recognized by drivers as a tire manufacturer, but few people know that it is also an important producer of automotive electronics. Conti Temic microelectronic GmbH (CONTI) is specialised in design of advanced sensing and control devices for automobile. CONTI cannot get a sustainable position on the automotive market without effective informatics system that supports the short series production. Industrial partner AIUT is SME company that supplies machines and systems for automotive production. AIUT cannot operate in a highly competitive environment without advanced engineering solutions which not only fulfil functional requirements of the customer but also ensure the efficient production. Nowadays, cheaper sources of raw materials and availability of cheaper labour cause that automotive production moves from Europe to the developing economies. European automotive manufacturers are beginning to lose their advantage. This causes negative impact on the European economy and reduces the number of employees associated with automotive industry. AutoUniMo academic partners will help to solve these problems by applying modern engineering and informatics methods that will support industrial partners in their critical paths defined above. Institute of Informatics, Silesian University of Technology (SUT) has advanced research activity in Data Mining and in Artificial Intelligence areas. Hochschule Ingolstadt, Faculty of Mechanical Engineering (HI) has large experience in the automotive industry, supported by many realised research projects with main focus on automotive industry. AutoUniMo consortium will assemble two European academia partners which conduct research on automotive engineering (HI) and informatics (SUT) with two European industrial partners with main focus in automotive. AutoUniMo consortium will assemble two European academia partners which conduct research on automotive engineering (HI) and informatics (SUT) with two European industrial partners with main focus in automotive area. Existing local research cooperation: SUT – AIUT and HI – CONTI will be expanded into international knowledge and expertise exchange SUT – CONTI and HI - AIUT which will able to fulfil knowledge gaps in complementary research areas. Although the main point of gravity will be automotive area but planned broad result dissemination activities will enable to use the output of AutUniMo’s methodologies and tools in other branches of European industry. Methods: Automotive Production, Data Mining, Manufacturing Execution Systems, Virtual Factories, Component Based Automation, Multi Agent Systems, Advanced Driver Assistance Systems, Energy Efficiency http://autounimo.aei.polsl.pl/ This project has received funding from the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement no 612207