Model-Based Software Technology Providing Safer Automotive Development and High Quality

2004 ◽  
Author(s):  
Florent Feve ◽  
Gérard Foin ◽  
Gilles Le Calvez
Keyword(s):  
High Quality ◽  
Software Technology ◽  
Model Based

scholarly journals High-quality sheet metal production using a model-based adaptive approach

2021 ◽  
Vol 180 ◽  
pp. 249-258
Author(s):  
Christian Zehetner ◽  
Christian Reisinger ◽  
Wolfgang Kunze ◽  
Franz Hammelmüller ◽  
Rafael Eder ◽  
...  
Keyword(s):  
Sheet Metal ◽  
Metal Production ◽  
High Quality ◽  
Adaptive Approach ◽  
Model Based

Model-Based Calibration of a Biogas Engine Control System

2012 ◽  
Author(s):  
Michael Flory ◽  
Joel Hiltner ◽  
Clay Hardenburger
Keyword(s):  
Control System ◽  
Natural Gas ◽  
Electrical Power ◽  
Engine Performance ◽  
Operating Conditions ◽  
High Quality ◽  
Model Based ◽  
Crank Angle ◽  
Short Period ◽  
Exhaust Gas Emission

Pipeline natural gas composition is monitored and controlled in order to deliver high quality, relatively consistent gas quality in terms of heating value and detonation characteristics to end users. The consistency of this fuel means gas-fired engines designed for electrical power generation (EPG) applications can be highly optimized. As new sources of high quality natural gas are found, the demand for these engines is growing. At the same time there is also an increasing need for EPG engines that can handle fuels that have wide swings in composition over a relatively short period of time. The application presented in this paper is an engine paired with an anaerobic digester that accepts an unpredictable and varying feedstock. As is typical in biogas applications, there are exhaust stream contaminants that preclude the use of an oxygen or NOx sensor for emissions feedback control. The difficulty with such a scenario is the ability to hold a given exhaust gas emission level as the fuel composition varies. One challenge is the design of the combustion system hardware. This design effort includes the proper selection of compression ratio, valve events, ignition timing, turbomachinery, etc. Often times simulation tools, such as a crank-angle resolved engine model, are used in the development of such systems in order to predict performance and reduce development time and hardware testing. The second challenge is the control system and how to implement a robust control capable of optimizing engine performance while maintaining emissions compliance. Currently there are limited options for an OEM control system capable of dealing with fuels that have wide swings in composition. Often times the solution for the engine packager is to adopt an aftermarket control system and apply this in place of the control system delivered on the engine. The disadvantage to this approach is that the aftermarket controller is not calibrated and so the packager is faced with the task of developing an entire engine calibration at a customer site. The controller must function well enough that it will run reliably during plant start-up and then eventually prove capable of holding emissions under typical operating conditions. This paper will describe the novel use of a crank-angle resolved four-stroke engine cycle model to develop an initial set of calibration values for an aftermarket control system. The paper will describe the plant operation, implementation of the aftermarket controller, the model-based calibration methodology and the commissioning of the engine.

Reconstructing High Quality Face-Surfaces using Model Based Stereo

2007 ◽  
Author(s):  
Brian Amberg ◽  
Andrew Blake ◽  
Andrew Fitzgibbon ◽  
Sami Romdhani ◽  
Thomas Vetter
Keyword(s):  
High Quality ◽  
Model Based

scholarly journals Pre-Processing and Modeling Tools for Bigdata

2016 ◽  
Vol 41 (3) ◽  
pp. 151-162 ◽  
Author(s):  
Hadi Hashem ◽  
Daniel Ranc
Keyword(s):  
Computing Time ◽  
High Quality ◽  
Modeling Tools ◽  
New Model ◽  
Processing Sequence ◽  
Model Based ◽  
Computing Module ◽  
Do So

AbstractModeling tools and operators help the user / developer to identify the processing field on the top of the sequence and to send into the computing module only the data related to the requested result. The remaining data is not relevant and it will slow down the processing. The biggest challenge nowadays is to get high quality processing results with a reduced computing time and costs. To do so, we must review the processing sequence, by adding several modeling tools. The existing processing models do not take in consideration this aspect and focus on getting high calculation performances which will increase the computing time and costs. In this paper we provide a study of the main modeling tools for BigData and a new model based on pre-processing.

Requirements For High-quality Lung Stereology In A Large Animal Model Based On An In Situ Lung Fixation Technique

2010 ◽  
Author(s):  
Kurosch Purkabiri ◽  
Ophélie Loup ◽  
Hansjoerg Jenni ◽  
Alexander Kadner ◽  
Matthias Ochs ◽  
...  
Keyword(s):  
Animal Model ◽  
Large Animal Model ◽  
Large Animal ◽  
Fixation Technique ◽  
High Quality ◽  
Model Based

scholarly journals The Mediating Effect of Model-Based Learning on Attitude and Pain Management Awareness Among Nurses During COVID 19 Pandemic in Saudi Arabia

2021 ◽  
Vol 7 ◽  
pp. 237796082110652
Author(s):  
Marwan Rasmi Issa ◽  
Noor Awanis Muslim ◽  
Zainon Mat Sharif
Keyword(s):  
Saudi Arabia ◽  
Pain Management ◽  
Reliability And Validity ◽  
Mediating Effect ◽  
High Quality ◽  
Measurement Models ◽  
Model Based ◽  
Critical Issues ◽  
Post Test ◽  
Quasi Experimental

Background All hospitals are required to provide high-quality pain management; one of the most critical issues in achieving high-quality pain management is that the hospitals have a clear plan to manage the patients’ pain and improve the nurses’ awareness of pain management during the COVID 19 pandemic. However, there is a significant gap in the literature that this study can cover. Aim This study aimed to investigate the mediating effect of model-based learning on nurses’ attitudes toward nurses’ pain management awareness during the COVID 19 pandemic in Saudi Arabia government hospitals. Method The Heath Beliefs Model was used, with a quasi-experimental design, with per experimental one group pre-test post-test design, and a quantitative approach using self-administered questionnaires obtained from 330 nurses working with patients suffering from pain. IBM SPSS V23 and Analysis of Moment Structures (AMOS)V23 were applied to analyze the causal relationships between the variables. Results A two-step approach to analyze the study: the first step was to test the measurement models’ constructs’ reliability and validity. The second step was to test research hypotheses in the structural models. The results show a significant positive relationship between model-based learning and pain management awareness among nurses during COVID 19 pandemic. Furthermore, model-based learning fully mediated the relationship between nurses’ attitudes and pain management awareness. Conclusions The study successfully improved nurses’ attitudes toward pain management awareness among nurses during COVID 19 pandemic. These findings will help strengthen the debate in the existing literature, and this is a new development window in the pain management area.

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