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DiKe - A Model-Based Diagnosis Kernel and Its Application [chapter]

Gerhard Fleischanderl, Thomas Havelka, Herwig Schreiner, Markus Stumptner, Franz Wotawa
2001 Lecture Notes in Computer Science  
This paper describes the DiKe model-based diagnosis framework, which incorporates multiple diagnosis engines, multiple user-level system description languages, a theorem prover, and a graphical user interface  ...  to provide an integrated toolset for the development of model-based diagnosis applications.  ...  The DiKe Framework Implementation The diagnosis kernel implements all classes and methods necessary for building a diagnosis application, i.e., the class library for the user interface, the diagnosis engine  ... 
doi:10.1007/3-540-45422-5_31 fatcat:3nlrzxiysbaa5nv3f5fri53kge

Document stream clustering: experimenting an incremental algorithm and AR-based tools for highlighting dynamic trends [article]

Alain Lelu
2008 arXiv   pre-print
We illustrate these points with an application to a two years and 2600 documents scientific information database.  ...  We address here two major challenges presented by dynamic data mining: 1) the stability challenge: we have implemented a rigorous incremental density-based clustering algorithm, independent from any initial  ...  A wish list for a data stream clustering algorithm, and an experimental implementation and application 2.1.  ... 
arXiv:0811.0340v1 fatcat:m5b36qdqzfh6jk7pqhvsuqrk24

An additional layer of protection through superalarms with diagnosis capability

John William Vásquez Capacho, Carlos Gustavo Perez Zuñiga, Yecid Alfonzo Muñoz Maldonado, Adalberto José Ospino Castro
2020 CT&F - Ciencia  
This document introduces a new layer of protection (super-alarm) for industrial processes based on a diagnostic stage.  ...  Industrial plants, particularly in the petrochemical, energy, and chemical sectors, require a combined approach of all the events that can result in a catastrophic accident.  ...  The diagnosis capacity of a system is generally computed from its model [31] , and in applications using modelbased diagnosis, such model is already present, and does not need to be built from scratch  ... 
doi:10.29047/01225383.168 fatcat:txmiqj6as5erzjw4uqrikgxixa

PNN-based Rockburst Prediction Model and Its Applications

Yu Zhou, Tingling Wang
2017 Earth Sciences Research Journal  
In this paper, a novel PNN-based rock burst prediction model is proposed to determine whether rock burst will happen in the underground rock projects and how much the intensity of rock burst is.  ...  PNN model is obtained through training data sets of rock burst samples which come from underground rock project in domestic and abroad. Other samples are tested with the model.  ...  Probabilistic neural network (PNN), on the other hand, is a feedforward neural network. It is derived from the Bayesian network and a statistical algorithm called kernel Fisher discriminant analysis.  ... 
doi:10.15446/esrj.v21n3.65216 fatcat:xrorhrnc55caxdeafy3rx3za7q

Wavelet-based multiresolution analysis coupled with deep learning to efficiently monitor cracks in concrete

Ahcene Arbaoui, Abdeldjalil Ouahabi, Sebastien Jacques, Madina Hamiane
2021 Frattura ed Integrità Strutturale  
However, the results of its implementation coupled with different CNN architectures show cracks in concrete can be identified at an early stage with a very high accuracy, i.e. around 99.8%, and a loss  ...  (CNNs); a technology today at the cutting edge of machine learning, in particular for all applications of pattern recognition.  ...  networks, can detect defects, classify them and propose a diagnosis.  ... 
doi:10.3221/igf-esis.58.03 fatcat:p7n2udbgq5gctg3meczpwbcqu4

2014 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 7

2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
., Bronstert, A., and Foerster, S  ...  Simic, A., +, JSTARS Jan. 2014 92-104 The Angular and Spectral Kernel-Driven Model: Assessment and Application.  ...  ., +, JSTARS March 2014 767-774 The Angular and Spectral Kernel-Driven Model: Assessment and Application.  ... 
doi:10.1109/jstars.2015.2397347 fatcat:ib3tjwsjsnd6ri6kkklq5ov37a

Report of the Geodetic Works in Japan for the Period from January 2015 to December 2018

INTERNATIONAL UNION OF GEODESY AND GEOPHYSICS INTERNATIONAL ASSOCIATION OF GEODESY
2019 Journal of the Geodetic Society of Japan  
and Hara 2017a; Wakasugi and Hara 2017b).  ...  Jike and Tamura (2017) reported the result of the geodetic VLBI experiments which VERA conducted in 2015 and 2016, and the 2015 and 2016 biennial status of geodetic observation equipment.  ...  based on state-of-art weather models.  ... 
doi:10.11366/sokuchi.65.19 fatcat:pw3epkybavgepg6dphzc24rxai

Quantification of climate change impact on dam failure risk under hydrological scenarios: a case study from a Spanish dam

Javier Fluixá-Sanmartín, Adrián Morales-Torres, Ignacio Escuder-Bueno, Javier Paredes-Arquiola
2019 Natural Hazards and Earth System Sciences  
In particular, the results of 21 regional climate models encompassing three Representative Concentration Pathways (RCP2.6, RCP4.5 and RCP8.5) have been used to calculate the risk evolution of the dam until  ...  Its impacts must be assessed through the integration of the various effects acting on each aspect, considering their interdependencies, rather than just a simple accumulation of separate impacts.  ...  We also acknowledge the Earth System Grid Federation infrastructure, an international effort led by the US Department of Energy's Program for Climate Model Diagnosis and Intercomparison; the European Network  ... 
doi:10.5194/nhess-19-2117-2019 fatcat:5riubdn2ungdtdeoksjkcwnpre

Automatic MRI Brain Tumor Segmentation Techniques: A Survey

Otman Basir, Kalifa Shantta
2021 IRA-International Journal of Applied Sciences (ISSN 2455-4499)  
It is challenging to identify precisely and extract that a portion of the image has abnormal tissues for further diagnosis and analysis.  ...  Image segmentation plays a crucial role in recognizing image signification for checking and mining medical image records.  ...  These schemes are region and threshold-based, as well as pixel categorization and model-based methods.  ... 
doi:10.21013/jas.v16.n2.p2 fatcat:fhljat62tjcybkglxzf5uu7cvu

Dynamic spatio-temporal generation of large-scale synthetic gridded precipitation: with improved spatial coherence of extremes

Dirk Diederen, Ye Liu
2019 Stochastic environmental research and risk assessment (Print)  
For each class, we fitted a multivariate mixture model and generated a large set of synthetic, coherent descriptors, which we used to reconstruct moving synthetic precipitation fields.  ...  The output is a continuous, gridded, hourly precipitation data set of a much longer duration, containing physically plausible and spatio-temporally coherent precipitation events.  ...  DD completed this work whilst registered for a PhD at the Open University Affiliated Research Centre at HR Wallingford Ltd.  ... 
doi:10.1007/s00477-019-01724-9 fatcat:jk5rq3hcjrfzjgpk2xjkb3s67a

Challenges in the application of mathematical programming in the enterprise-wide optimization of process industries

Ignacio E. Grossmann
2014 Theoretical foundations of chemical engineering  
is it a PSM?  ...  inskas, Julius Zilinskas, Blas Pelegrin, Pascual FernandezRisk Modeling and Risk MeasuresChair: David Wozabal1 -Modeling the ATM Cash Delivery Problem as a Vehicle Dispatch Problem and Solving It via a  ...  soft computing based approach to integrated process planning and scheduling with setup and machine capacity considerations -A Branch and Bound Algorithm for Pharmacy Duty Scheduling Problem Ozgur Ozpeynirci  ... 
doi:10.1134/s0040579514050182 fatcat:3ra5yqooyzgmroo5qccbnauftm

Challenges in the Application of Mathematical Programming in the Enterprise-wide Optimization of Process Industries

Ignacio E. Grossmann
2014 Теоретические основы химической технологии  
is it a PSM?  ...  inskas, Julius Zilinskas, Blas Pelegrin, Pascual FernandezRisk Modeling and Risk MeasuresChair: David Wozabal1 -Modeling the ATM Cash Delivery Problem as a Vehicle Dispatch Problem and Solving It via a  ...  soft computing based approach to integrated process planning and scheduling with setup and machine capacity considerations -A Branch and Bound Algorithm for Pharmacy Duty Scheduling Problem Ozgur Ozpeynirci  ... 
doi:10.7868/s0040357114050054 fatcat:kli7aeuyxbaplfhup2t6nmuyxq

Cost-to-Go Function Approximation [chapter]

2017 Encyclopedia of Machine Learning and Data Mining  
It maintains a set, S , of most specific hypotheses that are consistent with the training data and a set, G, of most general hypotheses consistent with the training data.  ...  Mitchell's, (1982; candidate-elimination algorithm performs a bidirectional search in the hypothesis space.  ...  If there are any positive examples in the training set, it calls the subroutine FINDBESTRULE for learning a single rule that Nilsson NJ (1995) Reacting, planning and learning in an autonomous agent.  ... 
doi:10.1007/978-1-4899-7687-1_100093 fatcat:vse7ncdqs5atlosjhz7fhlj3im

Multivariate Bayesian Statistics: Models for Source Separation and Signal Unmixing

Michael Conklin
2005 Technometrics  
Listed prices reflect information provided by the publisher and may not be current.  ...  These opinions do not represent positions of the reviewer's organization and may not reflect those of the editors or the sponsoring societies.  ...  BOOK REVIEWS Nature-Inspired Methods in Chemometrics: Genetic Algorithms and Artificial Neural Networks, edited by Riccardo LEARDI, Amsterdam: Elsevier, 2003, ISBN 0-444-51350-7, xviii + 383 pp., $240.00  ... 
doi:10.1198/tech.2005.s824 fatcat:y6cla6trlbes7ojnfvqdordmni

Conceptual design and multidisciplinary optimization of in-plane morphing wing structures

Daisaku Inoyama, Brian P. Sanders, James J. Joo, Douglas K. Lindner
2006 Smart Structures and Materials 2006: Modeling, Signal Processing, and Control  
In this paper, new technique of sensitivity-decreasing of FBG strain sensor has been brought forward and a new kind of FBG-based crack sensor is developed.  ...  Based on the higher order spectrum analysis results, we can represent the damping force model as higher order function with 3rd-order nonlinear term.  ...  and dikes.  ... 
doi:10.1117/12.658686 fatcat:rqnvt2atkjgnvpog5pivwjejzm
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