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Chapter 10 Model-based Problem Solving [chapter]

Peter Struss
2008 Foundations of Artificial Intelligence  
Heller and Struss [41] present a theory of process-oriented consistency-based diagnosis, realized as the Generalized Diagnosis Engine (G + DE).  ...  Struss 399 If this check reveals an inconsistency, we can conclude that MODEL OK does not describe the system under its current physical conditions; there must be a fault.  ... 
doi:10.1016/s1574-6526(07)03010-6 fatcat:xa55cxp2qvccpj74hsgffu7wjm

Model-based Hazard and Impact Analysis [article]

Sonila Dobi, Mario Gleirscher, Maria Spichkova, Peter Struss
2015 arXiv   pre-print
Hazard and impact analysis is an indispensable task during the specification and development of safety-critical technical systems, and particularly of their software-intensive control parts. There is a lack of methods supporting an effective (reusable, automated) and integrated (cross-disciplinary) way to carry out such analyses. This report was motivated by an industrial project whose goal was to survey and propose methods and models for documentation and analysis of a system and its
more » ... t to support hazard and impact analysis as an important task of safety engineering and system development. We present and investigate three perspectives of how to properly encode safety-relevant domain knowledge for better reuse and automation, identify and assess all relevant hazards, as well as pre-process this information and make it easily accessible for reuse in other safety and systems engineering activities and, moreover, in similar engineering projects.
arXiv:1512.02759v1 fatcat:i4uxj4xjm5gj3egagziz2sbrvy

Current Topics in Qualitative Reasoning

Bert Bredeweg, Peter Struss
2004 The AI Magazine  
Struss and Price present recent work on model-based systems in the automotive industry. They discuss various advanced applications during the entire life cycle of a vehicle.  ...  A decade has passed since the publication of three collections of papers and a book covering the foundations of the field (Weld and de Kleer 1990) , the status at that time (Faltings and Struss 1992;  ... 
doi:10.1609/aimag.v24i4.1727 dblp:journals/aim/BredewegS04 fatcat:xyqruw73prg7fclhvhlizpwsbi

Mathematical aspects of qualitative reasoning

Peter Struss
1988 Artificial Intelligence in Engineering  
Using the mathematical description of a physical system as the "gold standard" (/Kuipers 86n instead of using the observation of the physical system itself seems to be a Struss Mathematical Aspects of  ...  understanding and description of a physical process in almost every case preceeds the development of formalisms which capture more details, explain more observations or allow calculations for specific cases (/Struss  ... 
doi:10.1016/0954-1810(88)90032-5 fatcat:2e2d5dyginhgdaqlhfcvuwtivq

Model-Based Systems in the Automotive Industry

Peter Struss, Chris J. Price
2004 The AI Magazine  
In the following discussion, we briefly present the intuitive foundation of the novel diagnosability analysis tool (for more details, see Dressler and Struss [2003] ; Struss et al. [2002] ).  ...  It is obvious that precise definition can be given to these concepts (see Dressler and Struss [2003] ).  ...  Articles WINTER 2003 33 Struss, P. 1997 By putting all these links together in one maintained site, we hope this site will provide useful information to you and the entire international AI community  ... 
doi:10.1609/aimag.v24i4.1728 dblp:journals/aim/StrussP04 fatcat:5tltgwkkq5aozattyr3fdsb5d4

Model-based fault localization in bottling plants

Tobias Voigt, Stefan Flad, Peter Struss
2015 Advanced Engineering Informatics  
Keywords: Model-based fault localization Automatic fault diagnosis Consistency-based diagnosis Bottling plant Packaging line a b s t r a c t The bottling of beverages is carried out in complex plants that consist of several machines and material flows. To realize an efficient bottling process and high quality products, operators try to avoid plant downtimes. With actual non-productive times of between 10% and 60%, the operators require diagnosis tools that allow them to locate plant components
more » ... hat cause downtime by exploiting automatically acquired machine data. This paper presents a model-based solution for automatic fault diagnosis in bottling plants. There are currently only a few plant-specific solutions (based on statistical calculations or artificial neural networks) for automatic bottling plant diagnosis. In order to develop a customizable solution, we followed the model-based diagnosis approach which allows the automatic generation of diagnosis solutions for individual plants. The existing stochastic and discrete-event models for bottling plants are not adequate for model-based diagnosis. Therefore, we developed new first-principle models for the relevant plant components, validated them numerically, and abstracted them to qualitative diagnosis models. Based on the diagnosis engine OCC'M Raz'r, application systems for two real plants and one virtual plant (based on discrete-event simulation) were generated and evaluated. Compared to the reasons for downtime identified by experts, we obtained up to 87.1% of compliant diagnosis results. The diagnosis solution was tested by practitioners and judged as a useful tool for plant optimization.
doi:10.1016/j.aei.2014.09.007 fatcat:4dmyjnc64ndbja3ifsgbn7gvka

Arginine Cofactors on the Polymerase Ribozyme

Chengguo Yao, Janina E. Moretti, Peter E. Struss, Junaid A. Spall, Ulrich F. Müller, Lennart Randau
2011 PLoS ONE  
The RNA world hypothesis states that the early evolution of life went through a stage in which RNA served both as genome and as catalyst. The central catalyst in an RNA world organism would have been a ribozyme that catalyzed RNA polymerization to facilitate self-replication. An RNA polymerase ribozyme was developed previously in the lab but it is not efficient enough for self-replication. The factor that limits its polymerization efficiency is its weak sequence-independent binding of the
more » ... /template substrate. Here we tested whether RNA polymerization could be improved by a cationic arginine cofactor, to improve the interaction with the substrate. In an RNA world, amino acid-nucleic acid conjugates could have facilitated the emergence of the translation apparatus and the transition to an RNP world. We chose the amino acid arginine for our study because this is the amino acid most adept to interact with RNA. An arginine cofactor was positioned at ten different sites on the ribozyme, using conjugates of arginine with short DNA or RNA oligonucleotides. However, polymerization efficiency was not increased in any of the ten positions. In five of the ten positions the arginine reduced or modulated polymerization efficiency, which gives insight into the substrate-binding site on the ribozyme. These results suggest that the existing polymerase ribozyme is not well suited to using an arginine cofactor.
doi:10.1371/journal.pone.0025030 pmid:21949841 pmcid:PMC3176810 fatcat:hnr5kvo22nbb5lhbjgaerixoue

Meeting Re-use Requirements of Real-Life Diagnosis Applications [chapter]

Thomas Guckenbiehl, Heiko Milde, Bernd Neumann, Peter Struss
1999 Lecture Notes in Computer Science  
This report addresses re-use issues in computer-based diagnosis. It is shown that in order to obtain re-usable components it is useful to categorize the knowledge and software for a diagnosis system along two dimensions, generality and genericity. Several new contributions to diagnosis technology are presented which illustrate different re-use categories and show the benefits of improved reusability. The contributions pertain to different tasks related to the diagnosis of real-life systems of
more » ... verse domains: FMEA, workshop diagnosis, generating diagnosis manuals, generating fault trees and operator assistance in post mortem diagnosis. The work has been performed by three research groups involved in the joint research project INDIA (Intelligent Diagnosis in Industrial Application).
doi:10.1007/10703016_5 fatcat:erc4bgiwrrdihi2wgj2i645wjq

Directions in AI Research and Applications at Siemens Corporate Research and Development

Wolfram Büttner, Klaus Estenfeld, Hans Haugeneder, Peter Struss
1990 The AI Magazine  
In Proceed- Joint Conference on Artificial Intelli- ings of the Eleventh International Joint Peter Struss is leader of the Advanced  ...  In Struss, P. 1988a.  ... 
doi:10.1609/aimag.v11i1.822 dblp:journals/aim/ButtnerEHS90 fatcat:twkugqynira37hgpq53ycmx3ry

Liquid Biopsy-Analysis of Circulating Tumor DNA (ctDNA) in Bladder Cancer

Tilman Todenhöfer, Werner J. Struss, Roland Seiler, Alexander William Wyatt, Peter C. Black
2018 Bladder Cancer  
. * Correspondence to: Peter C. Black, The Vancouver Prostate Centre, 2660 Oak Street, Vancouver, BC, V6H 3Z6, Canada. Tel.: +1 604 875 4818; Fax: +1 604 875 5654; E-mail: pblack@mail.  ... 
doi:10.3233/blc-170140 pmid:29430504 pmcid:PMC5798499 fatcat:vkccc7ti25gxnkzljyxbbsidfm


2006 Mathematical Models and Methods in Applied Sciences  
Dolak-Struß, P.A. Markowich, D. Oelz, C. Schmeiser, A. Soreff blow-up of Keller-Segel type systems.  ...  Dolak-Struß, P.A. Markowich, D. Oelz, C. Schmeiser, A.  ...  Dolak-Struß, P.A. Markowich, D. Oelz, C. Schmeiser, A.  ... 
doi:10.1142/s0218202506001509 fatcat:u3dvqjfoxzfk7eaxuj7hynahgm

Model-based Fault Detection and Diagnosis of Air Handling Units: A Comparison of Methodologies

Raymond Sterling, Gregory Provan, Jesús Febres, Dominic O'Sullivan, Peter Struss, Marcus M. Keane
2014 Energy Procedia  
This paper presents a comparison between two model based diagnostics methodologies that can be used to detect and diagnose various faults that occur in Air Handling Units. The process from model development to inference diagnostics is highlighted with emphasis on the requirements for implementing a successful model based diagnosis solution. Comparative results of both methodologies on an air handling unit are presented and thoroughly discussed using as a benchmark the rule-based approach known
more » ... s air-handling unit performance assessment rule-set.
doi:10.1016/j.egypro.2014.12.432 fatcat:56i5sfphorebvfi76i7eowjtdy

Special Issue on Model-Based Diagnostics

Peter Struss, Gregory Provan, Johan de Kleer, Gautam Biswas
2010 IEEE transactions on systems, man and cybernetics. Part A. Systems and humans  
PETER STRUSS, Guest Editor Department of Informatik Technical University of Munich 80333 Munich, Germany  ... 
doi:10.1109/tsmca.2010.2055210 fatcat:37syd3loqzaupkbztsyiok5c2a

TAK1 in brain endothelial cells mediates fever and lethargy

Dirk A. Ridder, Ming-Fei Lang, Sergei Salinin, Jan-Peter Röderer, Marcel Struss, Christiane Maser-Gluth, Markus Schwaninger
2011 Journal of Experimental Medicine  
Systemic inflammation affects the brain, resulting in fever, anorexia, lethargy, and activation of the hypothalamus-pituitary-adrenal axis. How peripheral inflammatory signals reach the brain is still a matter of debate. One possibility is that, in response to inflammatory stimuli, brain endothelial cells in proximity to the thermoregulatory centers produce cyclooxygenase 2 (COX-2) and release prostaglandin E2, causing fever and sickness behavior. We show that expression of the MAP kinase
more » ... kinase TAK1 in brain endothelial cells is needed for interleukin 1 (IL-1)-induced COX-2 production. Exploiting the selective expression of the thyroxine transporter Slco1c1 in brain endothelial cells, we generated a mouse line allowing inducible deletion of Tak1 specifically in brain endothelium. Mice lacking the Tak1 gene in brain endothelial cells showed a blunted fever response and reduced lethargy upon intravenous injection of the endogenous pyrogen IL-1. In conclusion, we demonstrate that TAK1 in brain endothelial cells induces COX-2, most likely by activating p38 MAPK and c-Jun, and is necessary for fever and sickness behavior.
doi:10.1084/jem.20110398 pmid:22143887 pmcid:PMC3244031 fatcat:myqxnxn5sfc3ddf2wxexoc55zm

Automatic Detection of Critical Points in Bottling Plants with a Model-based Diagnosis Algorithm

Stefan Flad, Peter Struss, Tobias Voigt
2010 Journal of the Institute of Brewing  
The other components were built in a similar way and are described in the report by Struss et al. 12 Modelling assumptions The most important assumptions underlying the material transportation models  ... 
doi:10.1002/j.2050-0416.2010.tb00786.x fatcat:44w564sh2bfzhczvf4izelxn6m
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