The Experts below are selected from a list of 371805 Experts worldwide ranked by ideXlab platform
Peter Fettke - One of the best experts on this subject based on the ideXlab platform.
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Predicting Process Behaviour using deep learning
Decision Support Systems, 2017Co-Authors: Joerg Evermann, Jana-rebecca Rehse, Peter FettkeAbstract:Predicting business Process Behaviour is an important aspect of business Process management. Motivated by research in natural language Processing, this paper describes an application of deep learning with recurrent neural networks to the problem of predicting the next event in a business Process. This is both a novel method in Process prediction, which has largely relied on explicit Process models, and also a novel application of deep learning methods. The approach is evaluated on two real datasets and our results surpass the state-of-the-art in prediction precision.
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a deep learning approach for predicting Process Behaviour at runtime
Business Process Management, 2016Co-Authors: Joerg Evermann, Jana-rebecca Rehse, Peter FettkeAbstract:Predicting the final state of a running Process, the remaining time to completion or the next activity of a running Process are important aspects of runtime Process management. Runtime management requires the ability to identify Processes that are at risk of not meeting certain criteria in order to offer case managers decision information for timely intervention. This in turn requires accurate prediction models for Process outcomes and for the next Process event, based on runtime information available at the prediction and decision point. In this paper, we describe an initial application of deep learning with recurrent neural networks to the problem of predicting the next Process event. This is both a novel method in Process prediction, which has previously relied on explicit Process models in the form of Hidden Markov Models (HMM) or annotated transition systems, and also a novel application for deep learning methods.
Hermann Hofbauer - One of the best experts on this subject based on the ideXlab platform.
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h2 rich syngas by selective co2 removal from biomass gasification in a dual fluidized bed system Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.
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h2 rich syngas by selective co2 removal from biomass gasification in a dual fluidized bed system Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.
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H2 rich syngas by selective CO2 removal from biomass gasification in a dual fluidized bed system — Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.
Victor Bellido-gonzalez - One of the best experts on this subject based on the ideXlab platform.
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The effect of Ti sputter target oxidation level on reactive High Power Impulse Magnetron Sputtering Process Behaviour
Surface & Coatings Technology, 2011Co-Authors: M. Audronis, Victor Bellido-gonzalezAbstract:Abstract This paper investigates the effect of sputter target oxidation level on reactive Process Behaviour during High Power Impulse Magnetron Sputtering of transition metal target (Ti) in Ar/O 2 atmosphere. It was found by this study that the sputter target state depends on the history of its use in reactive HIPIMS mode. The effect appears to be pronounced strongly due to the significance of ion irradiation induced effects leading to enhanced sputter target oxidation. The target sputter cleaning times (e.g. after a reactive deposition run) are long (compared to DC sputtering) due to the same reason. The abovementioned effect has serious implications for the hysteresis Behaviour and reactive deposition Process window. It is shown in this paper that the hysteresis loop can be artificially suppressed or even eliminated and the reactive deposition Process window can be reduced a number of times if the starting target surface is not a clean metal surface but a partially oxidised metal surface. Such target surface condition is readily obtainable for the targets that have a history of prolonged use in reactive HIPIMS mode. Processing parameters, such as pulse frequency and peak voltage pulse values are shown to have influence on the degree to what the abovementioned effects occur.
Karl Kuzman - One of the best experts on this subject based on the ideXlab platform.
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size effects in manufacturing of metallic components
Cirp Annals-manufacturing Technology, 2009Co-Authors: F Vollertsen, Dirk Biermann, Hans Norgaard Hansen, I S Jawahir, Karl KuzmanAbstract:In manufacturing of metallic components, the size of the part plays an important role for the Process Behaviour. This is due to so called size effects, which lead to changes in the Process Behaviour even if the relationship between the main geometrical features is kept constant. The aim of this paper is to give a systematic review on such effects and their potential use or remedy. First, the typology of size effects will be explained, followed by a description of size effects on strength and tribology. The last three sections describe size effects on formability, forming Processes and cutting Processes.
Tobias Proll - One of the best experts on this subject based on the ideXlab platform.
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h2 rich syngas by selective co2 removal from biomass gasification in a dual fluidized bed system Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.
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h2 rich syngas by selective co2 removal from biomass gasification in a dual fluidized bed system Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.
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H2 rich syngas by selective CO2 removal from biomass gasification in a dual fluidized bed system — Process modelling approach
Fuel Processing Technology, 2008Co-Authors: Tobias Proll, Hermann HofbauerAbstract:A Process model of dual fluidized bed gasification is presented based on mass- and energy balances. The model further covers the evaluation of thermodynamic equilibrium states. The gasification is investigated for the special case that CaO/CaCO3 is used as bed material allowing selective transport of CO2 from the gasification reactor to the combustion reactor by repeated carbonation and calcination. Experimental data are used to determine the model parameters. An empirical approach towards the kinetics of fuel conversion allows prediction of Process Behaviour at varied fuel water content. The selective transport of CO2 results in high H2 contents in the produced syngas. The lower operating temperatures in the gasification reactor increase the efficiency of energy conversion. The results are in agreement with experimental data and show the thermodynamic limitations of the technology.