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XXII International Symposium on Information, Communication and Automation Technologies, ICAT

作者： M. H. Schwarz J. Börcsök Safety Computer Technology University of Kassel Kassel Germany Computer Architecture und System Programming University of Kassel Kassel Germany

In 1996, a new standard was announced that should serve as a software interface to exchange process data and to solve the problem to exchange process data using different industrial protocols and communication systems. A successful story started since then with few additional standards like the Alarm and Event standard using the OPC approach and some revisions and new editions. Ten years later a new approach was created that unified all existing standards and was also concerned with e.g. interoperability, security and web-based systems. This paper details the different OPC standards, tries to answer the question why this standard is important for industries and academia and where current research and development utilising those standards.

关键词： Standards Servers Security Industries XML computer architecture Automation

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Basic concept for the selection of an appropriate “software failure prediction model”

Basic concept for the selection of an appropriate “software...

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World Conference on Complex systems (WCCS)

作者： Jamal Krini Josef Börcsök Department of Computer Architecture System Programming University of Kassel Kassel Germany Universitat Kassel Kassel Hessen DE

Software is nowadays used in almost all systems. Therefore, the reliability of the software is a crucial aspect in safety engineering. Software errors can cause life-threatening situations. To counter this, software reliability models are used. Currently, there are a great number of software reliability models existing. The model that will be considered as the most appropriate is depending on the respective project. That is why it cannot always be decided in advance which model would be the most suitable. In this paper a method is presented that serves to show how the most appropriate model for a project can be selected.

关键词： Software reliability Software Hazards Prognostics and health management Hardware

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A filtered tuning method for a GPC controller

A filtered tuning method for a GPC controller

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IET Irish Signals and systems Conference (ISSC 2010)

作者： M.H. Schwarz C.S. Cox J. Börcsök Department of Computer architecture and System programming Safety Computer Technology University of Kassel Germany Control Systems Centre University of Sunderland UK Department of Computer architecture and System programming University of Kassel Germany

This paper presents a new tuning method based on model parameters identified in closed-loop. For classical controllers such as PI(D) controllers a large number of simple tuning methods for various application areas exist. However, when it comes to designing a generalised predictive controller (GPC) four parameters have to be specified. To choose those parameters is not a trivial task since they are not directly related to control or regulation performance. The presented tuning method exploits model-parameters to select suitable controller parameters. Additionally, a Rhinehart filter is incorporated in the design to decrease the impact of noise, therefore, a fifth parameter has to be optimised. The proposed method has been tested in simulation and on a real system.

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Validation of the Proposed Fault Injection, Test and Hardness Analysis for Combinational Data-Flow Verilog HDL Designs Under the RASP-FIT Tool

Validation of the Proposed Fault Injection, Test and Hardnes...

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IEEE International Symposium on Dependable, Autonomic and Secure Computing (DASC)

作者： Abdul Rafay Khatri Ali Hayek Josef Börscök Department of Computer Architecture and System Programming University of Kassel Kassel Germany Universitat Kassel Kassel Hessen DE

Owing to the condensed size of components in digital designs on the FPGA, it is difficult to guarantee an acceptable degree of reliability due to soft-errors. These designs are mostly available in Hardware Description Languages (HDL) at various abstraction levels, e.g. gate-level, data-flow, and behavioural. Fault Injection (FI) is a well-known technique to assess the dependability of such designs. Broadly, FI techniques for FPGA-based designs are categorized into emulation and simulation-based techniques. Simulation-Based FI (SBFI) tools work on hardware models of designs and help designers to test and verify designs at an early phase of the FPGA design & development flow. Testing, dependability analysis, and fault simulation applications require a faulty model of the original design during fault injection campaign. Therefore, we require a tool which can automatically generate the faulty model of the original design written at any abstraction levels and perform fault injection testing and dependability analysis. In this paper, a fault injection tool (RASP-FIT) is presented, which consists of an automatic code modifier (fault injection algorithm), fault injection control unit and result analyser. Previously, the tool is used for code-modification, test and hardness analysis for gate-level designs. In this paper, an enhancement of a code modifier along with result analyser techniques are applied to the data-flow benchmark designs and presented.

关键词： Circuit faults Tools Hardware design languages Logic gates Benchmark testing Prototypes

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Securing an IoT Medical system Using AI and a Unidirectional Network Device: Application to a Driver 11

Securing an IoT Medical System Using AI and a Unidirectional...

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11th International Conference on Electronics, Communications and Networks, CECNet 2021

作者： El Hajal, Georges Daou, Roy Abi Zeid Ducq, Yves Boercsoek, Josef Univ. Bordeaux IMS Laboratory France Biomedical Technologies Department Lebanese German University Lebanon MART Learning Education and Research Center Chananir Lebanon University of Kassel Institute for Computer Architecture and System Programming Germany

ISBN: (纸本)9781643682402

Security in systems and networks has always been a major issue for IT administrators. When it comes to medical applications, this concern is much more important due to the sensitivity of data and the risks that may be caused due to alteration or falsification of such critical information. The proposed paper presents a solution to assure the best security possible in such an environment. Thus, based on an application that monitors a driver's health while driving his car, a data diode will be implemented in order to assure security of the system by forcing unidirectional flow of network data to the healthcare provider side. Added to that, an AI-based program will be developed to verify the confidentiality, the integrity and the availability of the exchanged data and to check the patient health for abnormalities. Every sub-part of the system has been tested separately and results have shown that falsified data has been filtered out of the received end, e.g. the healthcare provider side. © 2022 The authors and IOS Press.

关键词： Medical applications

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Cost optimization and high available heterogeneous series-parallel redundant system design using genetic algorithms

Lecture Notes in Electrical Engineering

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Lecture Notes in Electrical Engineering 2015年 343卷 283-305页

作者： Chaaban, Walid Schwarz, Michael Börcsök, Josef Department of Computer Architecture and System Programming University of Kassel Willhelmshöher Allee. 71 Kassel34121 Germany

Heterogeneous redundant series-parallel systems allow the mixing of components within the same subsystem. This diversity feature may improve the overall characteristics of the system compared with the homogeneous case in term of less susceptibility against so called common-cause failures and reduced cost. That means they guarantee longer availability and are quite suitable for systems that are designed to perform continuous processes. But the main challenging task is to determine the optimal design that corresponds to the minimal investment costs and satisfies the predefined constraints. This kind of combinatorial optimization tasks is perfectly solved using heuristic methods, since those approaches showed stability, powerfulness, and computing effectiveness in solving such matters. This task is more complex than the homogeneous case since the search space is getting larger due to the fact that every component available and that can be deployed in a subsystem has to be taken into account. This fact leads definitely to greater chromosome length and makes the search more time consuming. The algorithm has been implemented in Matlab and three different existing models (Levitin, Lisnianski, and Ouzineb) have been considered for a comparison with the homogeneous case and for validation purposes. © Springer International Publishing Switzerland 2015.

关键词： Genetic algorithms

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Design of a Stereo Camera-based Perception system: A Comparative Analysis

Design of a Stereo Camera-based Perception System: A Compara...

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International Workshop on Research and Education in Mechatronics (REM)

作者： Kaushiknarayanan Chandrasekaran Samer Telawi Josef Börscök Masters student in Functional Safety Engineering University of Kassel Kassel Germany Institute for Computer Architecture and System Programming University of Kassel Kassel Germany

ISBN: (数字)9798331505974

ISBN: (纸本)9798331505981

The Formula Student Driverless discipline is a race car competition for university students competing with self-constructed autonomous vehicle to race in the tracks without the help of human race car drivers. This paper aims to investigate the development of the perception system using computer vision technique in different frameworks for the Herkules Racing Team (HRT) which is the Formula Student team of the university of kassel.

关键词： Surveys computer vision Mechatronics Software packages Education Full stack Automobiles MATLAB Python Vehicles

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Estimation and evaluation of common cause failures

Estimation and evaluation of common cause failures

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2nd International Conference on systems, ICONS 2007

作者： Börcsök, J. Schaefer, S. Ugljesa, E. Computer Architecture and System Programming University of Kassel Wilhelmshöher Allee 73 34121 Kassel Germany HIMA Paul Hildebrandt GmbH + Co. KG Albert-Bassermann-Str. 28 68782 Brühl Germany

ISBN: (纸本)0769528074

Success of many modern applications is highly dependent on the correct functioning of complex computer based systems. In some cases, failures in these systems may cause serious consequences in terms of loss of human life. systems in which failure could endanger human life are termed safety-critical. The SIS (Safety Instrumented system) should be designed to meet the required safety integrity level as defined in the safety requirement specification (safety requirement allocation). Moreover, the SIS design should be performed in a way that minimizes the potential for common mode or common cause failures (CCF). A CCF occurs when a single fault result in the corresponding failure of multiple components. Thus, CCFs can result in the SIS failing to function when there is a process demand. Consequently, CCFs have to be identified during the design process and the potential impact on the SIS functionality have to be understood. This paper gives details about the estimation and evaluation of common failures and assesses a 1oo2 system. It is a survey paper that presents the newest developments in common cause failure analysis. © 2007 IEEE.

关键词： Surveying instruments

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Design and testing tool for a safe monitoring system for neurodegenerative disorder patients 3

Design and testing tool for a safe monitoring system for neu...

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3rd International Conference on Advances in Computational Tools for Engineering Applications, ACTEA 2016

作者： Halabi, Nashaat El Achkar, Roger Daou, Roy Abi Zeid Hayek, Ali Borcsok, Josef Department of Computer and Communications Engineering Faculty of Engineering American University of Science and Technology Beirut Lebanon Department of Biomedical Technologies Faculty of Public Health Lebanese German University Sahel Alma Lebanon Department of Computer Architecture and System Programming Faculty of Electrical Engineering/Computer Science University of Kassel Kassel Germany

ISBN: (纸本)9781467385237

This paper aims to develop a sensor based monitoring and analyzing system for Neuro-Degenerative Disorder patients (NDD);this may consist on SpO2 sensor, Electrophysiological sensors, NIBP, Motion Capture sensors and Eye Monitoring sensor, taking into consideration an acceptable cost for the whole system. Recorded data will be sent to an embedded decision making unit where detection, analysis, classification, prediction and action control will occur. The sensors and the decision making unit will be implemented in a comfortable jacket that doesn't affect the patients' movements and that can be used by several patients with reduced sensor placement alterations. The decision that can be made is creating a stimulus to avoid falling in case of sudden stop while moving, initiating an alarm, sending a notification to a mobile phone application, and/or telemedicine monitoring features. Artificial Neural Networks will be used to classify and predict the abnormal cases where action should be taken, and since the sensors will be continuously recording, it is possible to achieve continuous learning for the ANN as a first phase. Initial models will be defined by testing normal behaviors and some known abnormal behaviors or symptoms related to the electrical activity and other characteristics of the heart, oxygen saturation level, eye activity and body motion. © 2016 IEEE.

关键词： Neural networks

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Machine Learning Model for Predicting Failures in the Context of Autonomous Vehicles 7

Machine Learning Model for Predicting Failures in the Contex...

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7th International Conference on system Reliability and Safety, ICSRS 2023

作者： Krini, Abderrahim Ouertani, Aymen Börcsök, Habil. Josef Robert Bosch GmbH Engineering of Reliability and Quality Functional Safety Schwäbisch Gmünd Germany Institute of Functional Safety & Cyber Security Baden-Wuerttemberg Cooperative State University Lörrach Germany University of Kassel Computer Architecture und System Programming Kassel Germany

ISBN: (纸本)9798350306057

In general, failure data is obtained in the automotive industry during the warranty period. If these contain the expression of a service life characteristic for each failure, statements can be made about the reliability and availability of the systems. For this purpose, estimation methods are used to adapt empirical lifetime distributions to theoretical lifetime distributions. By means of the distribution characteristics, a prognosis of the reliability and availability to be expected is also possible beyond the observation time. In addition to the data basis to be investigated, which is available completely in test bench and experimental trials or re-censored in the field, various methods can be used for estimation. In the past, several methods have been used, such as the estimators according to Eckel [1], Kaplan-Meier [2] or the estimators according to Pauli [3]. In general, a field failure is subject to several stresses, which can be described by expressions of several lifetime characteristics. For this application case, which occurs in the automotive industry, the known estimation methods, [1]-[3], cannot be used. In this paper, the necessity of multidimensional estimation methods will be introduced first. Then, a new estimation method for multidimensional metrics is presented. In a further step, mathematical proof is given that the new method can provide realistic results. Finally, two example data sets from bench testing and field are presented. Furthermore, some recommendations for the use of the new method are concretized in this context. © 2023 IEEE.

关键词： Automotive industry

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