Mykhaylo Nykolaichuk

@misc{datenschutzkonzept_nielebock,
title = {Leitfaden "Ihre ersten Schritte auf dem Weg zu einem Datenschutzkonzept f\"{u}r Ihr Unternehmen - Das k\"{o}nnen Sie selbst tun!},
author = {Sebastian Nielebock and Mykhaylo Nykolaichuk and Frank Ortmeier},
editor = {Mittelstand 4.0-Kompetenzzentrum Magdeburg c/o ZPVP GmbH },
url = {https://cse.cs.ovgu.de/cse-wordpress/wp-content/uploads/2019/06/Leitfaden_Erste-Schritte_zum_Datenschutzkonzept_final.pdf},
year = {2019},
date = {2019-06-03},
abstract = {Sie informieren sich auf einer Firmen-Website im Internet. Sie m\"{o}chten in einem Onlineshop bestellen oder sind Mitglied in einem Verband? Selbst wenn Sie auf den ersten Blick gar keine pers\"{o}nlichen Daten preisgeben, so hinterlassen Sie doch, bei allem, was Sie tun, Ihre Datenspur. Diese Datenspur gilt es zu sch\"{u}tzen und im Umkehrschluss nat\"{u}rlich auch die Ihrer Kunden.

Am 25. Mai 2018 trat die so genannte Datenschutzgrundverordnung (DSGVO) in Kraft. Damit sind die Richtlinien noch strenger geworden. Wir alle wissen, dass uns der Schutz unserer Daten wichtig ist. Aber was genau bedeutet das? Welche Daten fallen zum Beispiel in meinem Unternehmen an? Welche Daten muss ich sch\"{u}tzen und wie mache ich das? Wenn ich schon Schutzma{\ss}nahmen ergriffen habe, sind diese ausreichend? Vor diesen Fragen stehen nicht nur Sie, sondern viele Unternehmer und Unternehmerinnen. W\"{a}hrend Gro{\ss}betriebe \"{u}ber eigene IT- und Rechtsabteilungen verf\"{u}gen, stehen Firmenchefs kleinerer und mittlerer Unternehmen diesen Fragen h\"{a}ufig alleine gegen\"{u}ber. Oftmals fehlt schon das Basiswissen, von Zeit und Mu{\ss}e ganz zu schweigen.
Dazu vorab eine gute und eine weniger gute Nachricht. Beginnen wir mit der weiniger guten: Datenschutz ist komplex und entwickelt sich st\"{a}ndig weiter. Um wirklich auf Nummer sicher zu gehen, brauchen Sie sehr wahrscheinlich Rat und Hilfe eines Datenschutz-Experten. Dabei kann dieser Leitfaden Sie unterst\"{u}tzen, auf Augenh\"{o}he mit einem Datenschutz-Profi zu reden, denn daf\"{u}r statten wir Sie mit dem notwendigen Vokabular aus und vermitteln Ihnen die wichtigsten datenschutzrechtlichen Grundlagen. Am Ende eines Prozesses steht ein f\"{u}r Ihr Unternehmen ma{\ss}geschneidertes Datenschutzkonzept. Das ist nichts anderes als ein Ma{\ss}nahmenkonzept, um den Datenschutz in Ihrer Firma einzuhalten. Wir zeigen Ihnen auch, wer genau Ihnen beim Datenschutzkonzept f\"{u}r Ihr
Unternehmens unter die Arme greifen kann. So kommen wir nun zur guten Nachricht: Guter Datenschutz ist wichtig, muss aber nicht teuer sein. Wichtig ist, dass Sie f\"{u}r Ihr Unternehmen systematisch vorgehen und im Thema stecken. So wird es Ihnen leicht fallen, die gr\"{o}{\ss}ten Risiken herauszufinden und zielgerichtet zu minimieren. Ist Ihr Blick einmal f\"{u}r eventuelle Sicherheitsl\"{u}cken geschult, sind Sie auch zuk\"{u}nftig f\"{u}r noch kommende Datenschutzma{\ss}nahmen sensibilisiert. Datenschutz ist komplex und kompliziert. Aber Datenschutz ist auch keine „Raketenwissenschaft“. Wer es geschafft hat,
ein Unternehmen aufzubauen und zu leiten, der kann auch die ersten Schritte hin zu einem Datenschutzkonzept selbst\"{a}ndig gehen. Lassen Sie sich dazu von uns an die Hand nehmen. Datenschutz und Datensicherheit entwickeln sich stetig weiter.

Am besten ist, Sie entwickeln sich einfach mit ...},
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pubstate = {published},
tppubtype = {misc}
}

@inproceedings{Schillreff_2017,
title = {Towards High Accuracy Robot-Assisted Surgery},
author = {Nadia Schillreff and Mykhaylo Nykolaichuk and Frank Ortmeier},
editor = {IFAC-PapersOnLine},
url = {https://cse.cs.ovgu.de/cse-wordpress/wp-content/uploads/2017/08/Schillreff_cameraReady_IFAC2017.pdf},
year = {2017},
date = {2017-08-28},
journal = {Proceedings of the 20th World Congress of the International Federation of Automatic Control (IFAC 2017)},
abstract = {In this article, we propose a new error modeling approach for robot manipulators in order to improve the absolute accuracy of a tools pose by using polynomial regression method. The core idea is based on a well-known fact: accuracy of repeatedly reaching a given position is much higher than the accuracy of absolute positioning (i.e. moving the manipulator to a given position). The underlying reason is, that positioning errors are dominated by systematic errors - while stochastic errors are significantly smaller. This fact is then exploited to apply some learning algorithm to derive an error-compensation model. Technically, this means that the robot is being calibrated a priori with some external sensor once. Afterwards it can operate with a much better quality. In detail, we propose to first perform a coordinate transformation using a least mean square approach (for registration). Then, to account for deviations of measured position in comparison to nominal (robot) position, the frame transformation model at each robots joint is extended by translational and rotational error parameters. This is then used to built an error compensation model with regression techniques. We evaluate the method on a data set obtained using a 7DOF robot manipulator and show that this approach brings positioning error to the order of repeatability errors for this manipulator.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Nykolaichuk2015,
title = {Coverage Path Re-Planning for Processing Faults},
author = {Mykhaylo Nykolaichuk and Frank Ortmeier},
editor = {Springer},
url = {https://cse.cs.ovgu.de/cse-wordpress/wp-content/uploads/2015/07/coveragePathReplanning_final.pdf
https://link.springer.com/chapter/10.1007/978-3-319-22876-1_31},
year = {2015},
date = {2015-08-20},
booktitle = {The 8th International Conference on Intelligent Robotics and Applications (ICIRA2015) },
volume = {9245},
pages = {358-368 },
abstract = {Currently, an automated surface treatment or finishing (e.g., abrasive blasting, cleaning or painting) is performed in two consecutive steps: first processing by tool, second quality evaluation by sensor. Often, a finished surface has defects like areas not properly processed. This is caused by path inaccuracy or errors in tool deployment. The defected areas can be detected only during a subsequent quality evaluation. As a result, a complete surface reprocessing is required which is costly and time-consuming. We propose a new approach that is a combination of surface treatment and quality evaluation processes in a single deployment. In our approach, an initial coverage path for surface treatment by a tool is given or calculated using a state-of-the-art coverage path planning algorithm. In fact, we extend an off-line generated initial coverage path with an ability to react to sensor-based defect recognitions during surface processing by a tool.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Alatartsev2014_1,
title = {Robot Trajectory Optimization for the Relaxed End-Effector Path},
author = { Sergey Alatartsev and Anton Belov and Mykhaylo Nykolaichuk and Frank Ortmeier},
url = {https://cse.cs.ovgu.de/cse-wordpress/wp-content/uploads/2015/05/Alatartsev_ICINCO2014.pdf},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO)},
abstract = {In this paper we consider the trajectory optimization problem for the effective tasks performed by industrial robots, e.g., welding, cutting or camera inspection. The distinctive feature of such tasks is that a robot has to follow a certain end-effector path with its motion law. For example, welding a line with a certain velocity has an even influence on the surface. The end-effector path and its motion law depend on the industrial process requirements. They are calculated without considering robot kinematics, hence, are often “awkward” for the robot execution, e.g., cause high jerks in the robot’s joints. In this paper we present the trajectory optimization problem where the end-effector path is allowed to have a certain deviation. Such path is referred to as relaxed path. The goal of the paper is to make use of this freedom and construct the minimal-cost robot trajectory. To demonstrate the potential of the problem, jerk of the robot joint trajectory was minimized.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{nykolaychukIMBSA_2014,
title = {On Efficiently Specifying Models for Model Checking},
author = { Mykhaylo Nykolaichuk and Michael Lipaczewski and Tino Liebusch and Frank Ortmeier},
url = {http://link.springer.com/chapter/10.1007/978-3-319-12214-4_2
https://cse.cs.ovgu.de/cse-wordpress/wp-content/uploads/2017/10/Nykolaychuk_IMBSA_2014.pdf
},
year = {2014},
date = {2014-01-01},
booktitle = {Proceedings of 4th International Symposium on Model Based Safety and Assessment (IMBSA 2014)},
abstract = {Using formal methods for quality assurance is recommended in many standards for safety critical applications. In most industrial contexts, model checking is the only viable option for formal verification, as interactive approaches often require very highly specialized experts. However, model checking typically suffers from the well-known state-space explosion problem. Due to this problem, engineers typically have to decide on a trade-off between readability and completeness of the model on one side, and the state space size, and thus, computational feasibility on the other. In this paper, we propose a method for reducing the state space by restructuring models. The core idea is to introduce as few additional states as possible by model design making state transitions more complex. To avoid unreadability and infeasible model sizes, we introduce a concept for hierarchical boolean formulas to efficiently specify state transitions. For evaluation purposes, we applied this approach to a case study using the VECS toolkit. In this exemplary case study, we were able to reduce the state space size significantly and make verification time feasible.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}