Relevant bibliographies by topics / Simulation-Based Validation process

Academic literature on the topic 'Simulation-Based Validation process'

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Published: 8 June 2024

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Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Journal articles on the topic "Simulation-Based Validation process":

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Bause, Falko, Jan Kriege, and Sebastian Vastag. "Efficient Validation of Process-based Simulation Models." SNE Simulation Notes Europe 19, no. 2 (August 2009): 30–38. http://dx.doi.org/10.11128/sne.19.tn.09936.

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ZHANG, Beike, Xin XU, Xin MA, and Chongguang WU. "SDG-based Model Validation in Chemical Process Simulation." Chinese Journal of Chemical Engineering 21, no. 8 (August 2013): 876–85. http://dx.doi.org/10.1016/s1004-9541(13)60554-6.

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Funakoshi, K., and K. Mizuno. "A rule-based VLSI process flow validation system with macroscopic process simulation." IEEE Transactions on Semiconductor Manufacturing 3, no. 4 (1990): 239–46. http://dx.doi.org/10.1109/66.61973.

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Sun, Jun, Bei Ke Zhang, and Chong Guang Wu. "Life Cycle VV&A Simulation Modeling Process Based on Validation." Applied Mechanics and Materials 80-81 (July 2011): 511–15. http://dx.doi.org/10.4028/www.scientific.net/amm.80-81.511.

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Simulation modeling VV&A is verification, validation and accreditation. In the field of petrochemical industry, focus of VV&A still lays on the model validation, and people always do appropriate model verification, validation work after model development. It does not yet formed a complete hierarchy or framework for effective implementation of life cycle VV&A. This paper referenced the research achievement of military simulation modeling and test-driven software development technology, introduced the modeling VV&A technology into the whole life of the model development. Simulation modeling process based on validation discussed in this paper is totally based on validation, and it is carried out closely around VV&A from appearance of the first idea to the final application. As a result, people can completely control the whole process of model development. At the same time of improving model accuracy, reliability and credibility, such process could greatly improve the efficiency of model development and effectively reduce the model development period. And this process can be also applied to system-level, complex object.
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Shi, Peng, Fei Liu, and Ming Yang. "Critical Problems in Validation Process of Simulation Models." Advanced Materials Research 187 (February 2011): 422–27. http://dx.doi.org/10.4028/www.scientific.net/amr.187.422.

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Simulation models are increasingly being used to solve more and more complex problems and to aid in decision-making. To provide a realistic and confident simulation environment for users, simulation models have become key components in military simulations. This paper discusses the modeling nature of simulation models, and then the modified validation criteria for measuring the agreements between Subject Matter Experts and simulation models are presented. Furthermore, validation methods such as graphical comparison, feature analysis, face validation, confidence interval and hypothesis tests of three types errors, are discussed according to the validation metrics of simulation models. Simulation models could be validated based on the proposed validation process effectively. The proposed process could be applied to the simulation systems and solve many VV&A difficulties. Example of the mass moment missile, illustrates the validity of the proposed process.
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Ruediger, Patrick, and Hans Hagen. "Dealing with Uncertainties in Manufacturing Process Simulations." Applied Mechanics and Materials 869 (August 2017): 226–33. http://dx.doi.org/10.4028/www.scientific.net/amm.869.226.

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Uncertainty in manufacturing processes is as old as the manufacturing process itself. Simulationson the other hand are always certain in their outcome based on the chosen parameters. Nonethelessit makes sense to incorporate uncertainties in the simulation for validation and analysis of the realand simulated processes. This paper aims on highlighting the importance of an accurate understandingand measurement of uncertainty for simulation validation and thus to increase the significance andacceptance of simulation results in the working environment.
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Gull, Hina, Saleh Alrashed, and Sardar Zafar Iqbal. "Validation of Usability Driven Web based Software Process Model using Simulation." Procedia Computer Science 62 (2015): 487–94. http://dx.doi.org/10.1016/j.procs.2015.08.520.

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Zizler, Elisabeth, Matthias Wenk, and Benedikt Bräutigam. "Simulation-Based Development and Validation of Energy Management Concepts." Applied Mechanics and Materials 871 (October 2017): 36–43. http://dx.doi.org/10.4028/www.scientific.net/amm.871.36.

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This paper presents a method to support the development of energy management concepts for machine and plant construction. The energy management concepts are required to put the plant components into an energy saving mode during unproductive phases. These concepts then have to be implemented in the control software. Different dependencies in the production and process flow have to be considered when developing the concepts. Due to the complexity of production plants, a supporting simulation tool is planned to be implemented. With the aid of this tool, different energy management concepts and their derived control software can already be validated virtually in the planning and development phase. This presents an energetic extension of the so-called virtual commissioning concept. Conventional virtual commissioning involves only the process operation functionality in a virtual simulation model of the plant. Now, however, energetic functionalities are assigned to the different model components. Thus, a simulation of the energy consumption in different operation modes can be created for each component. Energy management concepts can only be developed if the components’ energy consumption is known in the different scenarios.
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Hawe, Glenn I., Graham Coates, Duncan T. Wilson, and Roger S. Crouch. "Improving Agent-Based Simulation of Major Incident Response in the United Kingdom through Conceptual and Operational Validation." International Journal of Information Systems for Crisis Response and Management 7, no. 4 (October 2015): 1–25. http://dx.doi.org/10.4018/ijiscram.2015100101.

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The aim of this paper is to report on how the credibility of an agent-based model (ABM) of the United Kingdom emergency services' response to major incidents has been improved through a process of conceptual validation, and how the ABM's software implementation has been improved through a process of operational validation. Validating the authors' ABM and its implementation contributes towards the long term goal of agent-based modelling and simulation being accepted by emergency planning officers as a means of performing emergency exercises thus playing a useful role in emergency preparedness. Both conceptual and operational validation led to the identification of potential improvements, which when implemented resulted in the authors' ABM software simulating the response to major incidents in the UK more realistically than was possible previously.
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Butenuth, Matthias, Thorsten Scheibe, David Seidel, and Frank Schrödel. "Simulation-based Function Development and Validation for Autonomous Driving as Integrated Process." ATZelectronics worldwide 14, no. 12 (December 2019): 72–77. http://dx.doi.org/10.1007/s38314-019-0131-4.

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Journal articles

Dissertations / Theses on the topic "Simulation-Based Validation process":

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Syal, Gagan [Verfasser]. "CAE - PROCESS AND NETWORK : A methodology for continuous product validation process based on network of various digital simulation methods [[Elektronische Ressource]] / Gagan Syal." Karlsruhe : KIT Scientific Publishing, 2014. http://www.ksp.kit.edu.

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Al-Taweel, Younus. "Diagnostics and simulation-based methods for validating Gaussian process emulators." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/19873/.

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Emulation is a statistical technique that can be utilised for estimating model simulations when the computer models are too computationally expensive to run. Emulators need to be subjected to a validation process since various assumptions have to be made. One assumption is that the computer model output is thought of as a realization of a Gaussian process with a mean and a covariance function. The computer model, however, is not a random sample from the Gaussian process distribution. In this thesis, we develop a graphical diagnostic that can be used to investigate whether the Gaussian process assumption is suitable for building emulators. Diagnostic methods can be used to assess the validity of the statistical model in order to investigate the best probability model for describing the computer model. However, it is not always possible to derive the required reference distribution for some diagnostics analytically. In this thesis, a simulation-based method is developed based on simulating samples from the posterior distribution of the output function. This simulation-based method can be used to obtain the reference distribution of diagnostics that cannot be obtained analytically. The observed diagnostic values will be `consistent' with the simulated diagnostic values if the Gaussian process emulator is valid.
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Koné, Tchoya Florence. "Contribution à la démonstration de la sécurité du véhicule autonome, basée sur une stratégie de génération de scénarios, modélisée par niveaux d’abstraction et orientée par la sensibilité du VA, pour une validation par simulation." Electronic Thesis or Diss., Université de Lorraine, 2021. http://www.theses.fr/2021LORR0182.

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Cette thèse CIFRE, réalisé au sein de Stellantis, fournit une stratégie de génération de scénarios, modélisée par niveaux d’abstraction et orientée par la sensibilité du VA, pour une validation par simulation. Ce travail s’inscrit dans le périmètre du standard ISO PAS 21448 /SOTIF (Safety Of The Intended Functionality). Pour ce faire, la démarche suivie s’articule autour de cinq contributions : (1) Une analyse de l’architecture fonctionnelle du VA et la mise en évidence des challenges liés à la validation de sa sécurité : aspects normatifs, chaines de simulation, la présence d’incertitude dans l’environnement opérationnel du VA. (2) La proposition d’un cadre conceptuel (modèle de connaissance) sur lequel s’appuiera la méthodologie de génération des scénarios qui sera proposée par la suite. (3) Une synthèse sur les indicateurs manipulés dans la littérature, ainsi que ceux, que nous retiendrons dans notre stratégie de génération finale dont notamment l’indicateur de sensibilité. Elle donne également une structure du système de génération des scénarios et de validation par simulation de la sécurité du VA, ainsi que la manière dont les indicateurs seront exploités dans cette structure. (4) La proposition d’une heuristique de génération des scénarios et l’estimation de l’indicateur de risque associé au VA. Cette quatrième contribution, s’appuie sur les éléments développés dans les contributions précédentes : le modèle conceptuel proposé (contribution 2), la structure du système de génération et de validation ainsi que les indicateurs associés (contribution 3). (5) Enfin, la dernière contribution est une implémentation des propositions précédentes via un cas d’étude.Mots clés : Véhicule Autonome (VA), SOTIF (Safety Of The Intended Functionality), Limitation de performances fonctionnelles, Insuffisances fonctionnelles, Scénarios critiques, Métrique de sensibilité, Stratégie de génération de scénarios, Validation par simulation
This CIFRE thesis, carried out within Stellantis, provides a scenario generation strategy, modelled by levels of abstraction and oriented by the sensitivity of the AV, for a simulation-based validation process. This work is within the scope of the ISO PAS 21448 /SOTIF (Safety Of The Intended Functionality) standard.To do this, the approach followed is based on five contributions: (1) An analysis of the functional architecture of the AV and the highlighting of the challenges related to its safety validation: normative aspects, simulation chains, the presence of uncertainty in the operational environment of the AV. (2) The proposal of a conceptual framework (knowledge model) on which the scenario generation methodology to be proposed later will be based. (3) A summary of the indicators used in the literature, as well as those that we will use in our final generation strategy, including the sensitivity indicator. It also gives a structure of the system of scenario generation and simulation based validation of the safety of the AV, as well as the way in which the indicators will be exploited in this structure. (4) The proposal of a scenario generation heuristic and the estimation of the risk indicator associated with the AV. This fourth contribution is based on the elements developed in the previous contributions: the proposed conceptual model (contribution 2), the structure of the generation and validation system and the associated indicators (contribution 3). (5) Finally, the last contribution is an implementation of the previous proposals via a case study.Keywords: Autonomous Vehicle (AV), Safety Of The Intended Functionality (SOTIF), Functional performance limitation, Functional insufficiencies, Critical scenarios, Sensitivity metric, Scenarios generation strategy, Simulation-based Validation process
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"Competency Assessment in Nursing Using Simulation: A Generalizability Study and Scenario Validation Process." Doctoral diss., 2014. http://hdl.handle.net/2286/R.I.25805.

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abstract: The measurement of competency in nursing is critical to ensure safe and effective care of patients. This study had two purposes. First, the psychometric characteristics of the Nursing Performance Profile (NPP), an instrument used to measure nursing competency, were evaluated using generalizability theory and a sample of 18 nurses in the Measuring Competency with Simulation (MCWS) Phase I dataset. The relative magnitudes of various error sources and their interactions were estimated in a generalizability study involving a fully crossed, three-facet random design with nurse participants as the object of measurement and scenarios, raters, and items as the three facets. A design corresponding to that of the MCWS Phase I data--involving three scenarios, three raters, and 41 items--showed nurse participants contributed the greatest proportion to total variance (50.00%), followed, in decreasing magnitude, by: rater (19.40%), the two-way participant x scenario interaction (12.93%), and the two-way participant x rater interaction (8.62%). The generalizability (G) coefficient was .65 and the dependability coefficient was .50. In decision study designs minimizing number of scenarios, the desired generalizability coefficients of .70 and .80 were reached at three scenarios with five raters, and five scenarios with nine raters, respectively. In designs minimizing number of raters, G coefficients of .72 and .80 were reached at three raters and five scenarios and four raters and nine scenarios, respectively. A dependability coefficient of .71 was attained with six scenarios and nine raters or seven raters and nine scenarios. Achieving high reliability with designs involving fewer raters may be possible with enhanced rater training to decrease variance components for rater main and interaction effects. The second part of this study involved the design and implementation of a validation process for evidence-based human patient simulation scenarios in assessment of nursing competency. A team of experts validated the new scenario using a modified Delphi technique, involving three rounds of iterative feedback and revisions. In tandem, the psychometric study of the NPP and the development of a validation process for human patient simulation scenarios both advance and encourage best practices for studying the validity of simulation-based assessments.
Dissertation/Thesis
Doctoral Dissertation Educational Psychology 2014

Books on the topic "Simulation-Based Validation process":

1

Syal, Gagan. Cae - Process and Network: A Methodology for Continuous Product Validation Process Based on Network of Various Digital Simulation Methods. Saint Philip Street Press, 2020.

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Birks, Daniel. Computer Simulations. Edited by Gerben J. N. Bruinsma and Shane D. Johnson. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190279707.013.36.

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In recent years, the field of social simulation has been dominated by the individual, or agent-based, computational model (ABM). ABMs provide unique means to explore complex social systems by allowing researchers to construct explicit models of the individual actors and interactions that make them up - people, peer groups, companies, nations, trade, reproduction, victimization, and so on, This chapter aims to provide the reader with a primer in the social simulation method and in particular the application of ABM in the field of environmental criminology. It begins by discussing the rationale behind the ABM approach. Subsequently, drawing on two illustrative simulations, it summarizes fundamental processes involved in designing, constructing, verifying, calibrating, validating, and utilizing ABM. It concludes by discussing some of the overarching strengths and limitations of the approach, and by discussing several areas of research that might aid in furthering the use of ABM within the field of environmental criminology.
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Lee, Herbert K. H., Matthew Taddy, Robert Gramacy, and Genetha Gray. Designing and analysing a circuit device experiment using treed Gaussian processes. Edited by Anthony O'Hagan and Mike West. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780198703174.013.28.

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This article describes a new circuit device, developed in collaboration with scientists at Sandia National Laboratories, based on treed Gaussian processes (TGP). The circuit devices under study are bipolar junction transistors, which are used to amplify electrical current. To aid with the design of the device, a computer model predicts its peak output as a function of the input dosage and a number of design parameters. The methodology also involves a novel sequential design procedure to generate data to fit the emulator. Both physical and computer simulation experiments are performed, and the results show that the TGP model can be useful for spatial data and semiparametric regression in the context of a computer experiment for designing a circuit device, for sequential design of (computer) experiments, sequential robust local optimization, validation, calibration, and sensitivity analysis.

Book chapters on the topic "Simulation-Based Validation process":

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Aschenbruck, Rabea, Gero Szepannek, and Adalbert F. X. Wilhelm. "Stability of Mixed-Type Cluster Partitions for Determination of the Number of Clusters." In Studies in Classification, Data Analysis, and Knowledge Organization, 43–51. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-09034-9_6.

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AbstractFor partitioning clustering methods, the number of clusters has to be determined in advance. One approach to deal with this issue are stability indices. In this paper several stability-based validation methods are investigated with regard to the k-prototypes algorithm for mixed-type data. The stability-based approaches are compared to common validation indices in a comprehensive simulation study in order to analyze preferability as a function of the underlying data generating process.
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Fink, Maximilian C., Victoria Reitmeier, Matthias Siebeck, Frank Fischer, and Martin R. Fischer. "Live and Video Simulations of Medical History-Taking: Theoretical Background, Design, Development, and Validation of a Learning Environment." In Learning to Diagnose with Simulations, 109–22. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89147-3_9.

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AbstractHistory-taking is an essential diagnostic situation and has long been an important objective of medical education in European countries and beyond. Thus, the research project presented here investigates facilitating diagnostic competences in live and video history-taking simulations. In this chapter, the theoretical background and the design, development, and validation process of the learning environment for this research project are described. In the first section, an overview of history-taking models is provided, the concept of diagnostic competences for history-taking is specified, and a summary of research on simulation-based learning and assessment of history-taking is given. The second section reports on the creation of knowledge tests and the live and video simulations. In the third section, results from a pilot study and an expert workshop are disclosed and findings from a validation study are provided. These findings indicate that the created simulations and knowledge tests measure separate but related aspects of diagnostic competences reliably and validly and may be used for assessment. In the final section, a summary is provided and future questions for research are presented with a focus on the adaptivity of scaffolds and simulation-based learning from atypical cases.
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Martin-Doñate, Cristina, Sliman Shaikheleid, Abelardo Torres-Alba, and Jorge Manuel Mercado-Colmenero. "A New Smart Web Platform for Plastic Injection Molds in Industry 4.0 Environments." In Lecture Notes in Mechanical Engineering, 309–15. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-70566-4_49.

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AbstractThis paper presents a new smart web platform for plastic injection molds for use in industry 4.0 environments. The new platform requires as its only input the CAD model of the plastic part in a discrete format, the accuracy of the analysis, the thermoplastic material of which the part will be manufactured and the number of parts to manufacture per year. Using this information and through a fully automated process based on hybrid algorithms developed by the authors the smart platform generates an extended CAD model of the mold with additional expert information useful for industry 4.0 environments. In this way, it is possible to design a mold with uniform heat transfer, balanced ejection and a uniform filling phase of the mold cavity. The presented platform differ from other applications for mold designing in that the resulting mold meets all the geometric, functional and technological requirements of mold designing without needing CAE simulation software for its validation. The presented platform is considered as the first smart platform that does not require the interaction of the designer in the process of dimensioning and designing the different subsystems that compound the mold, being a tool to reduce time and costs in the initial phases of plastic part design and with the ability to integrate into a flexible manufacturing environment 4.0.
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Mainini, Andrea Giovanni, Martina Signorini, Jaroslaw Drozdziel, Aleksander Bartoszewski, Sonia Lupica Spagnolo, Teemu Vesanen, Davide Madeddu, et al. "Demonstration in Relevant Environments." In Innovative Tools and Methods Using BIM for an Efficient Renovation in Buildings, 95–119. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-04670-4_7.

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AbstractThree building case studies were chosen with the purpose of demonstrating the BIM4EEB BIM-based toolkit. The selected buildings are both social houses and residential apartments respecting the needs of vulnerable inhabitants. To increase the representativeness of the test case the buildings are located in three different locations with different climatic conditions, specifically Italy, Poland, Finland. For all the case studies analysed, BIM models were created with different levels of detail (LOD), which, thanks to the interaction with the BIMMS, make it possible to create a common environment for the representation and use of the data collected and subsequently shared between the different tools. Among the three demonstration sites, the Italian site is undergoing building envelope renovation interventions such as the realization of the thermal insulation with ETICS technologies and the replacement of external windows. In order to test the different tools, a demonstration procedure has been defined for them, constituted mainly by workshop activities and quantitative and qualitative evaluations. To assess the level of accomplishment with respect to stated objectives and project success a validation methodology based on Key Performance Indicators (KPIs) was delineated. Precisely, two categories of KPIs have been identified: “mandatory” and “secondary” addressing project objectives and in connection with the literature review and project use cases and tools. To calculate the KPIs standard baselines were estimated, such as are currently in an ongoing process to assess the traditional process that can be compared with the actual value associated with the BIM-based process. The chapter will present the methods and the first intermediate results of a demonstration process that is currently not yet completed and will later see a further application of the tools in dedicated demo sites. Environmental monitoring sensors were installed in selected apartments in Polish and Italian demo site, while were installed in common spaces for the Finnish building. Specific sensors set up have been analysed and chosen to fulfil the different needs related to the specific project outcomes. Inhabitants’ availability, technical condition and flat exposition were criteria followed for the choice of apartments. Sensors allowed to improve the occupancy monitoring and to have a historical record of environmental values such as temperature, humidity and light strictly connected to users’ preferences. The mobile application about renovation activities performed and residents’ indoor home conditions—BIM4Occupants—has been installed by the users and specific workshops with inhabitants were carried out for registration purposes. The BIM Management System is currently collecting sensors’ data stream and data stream between tools such as BIM4Occupants and BIMPlanner. Project monitoring and better communication among users were tested in a different workshop by applying the BIMPlanner tool in the plans and progress site operations. The functionalities of the refurbishment scenario simulation tool—BIMeaser—were tested in qualitative and quantitative design workshops respectively with the construction professionals using the two pilot sites in Italy and in Finland and with the aim of assessing the achieved time savings of using this tool compared to the manual data input process of the scenario simulation.
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Lai, Wallace Wai-Lok. "Underground Utilities Imaging and Diagnosis." In Urban Informatics, 415–38. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_24.

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AbstractThe invisible and congested world of underground utilities (UU) is an indispensable mystery to the general public because their existence is invisible until problems happen. Their growth aligns with the continuous development of cities and the ever-increasing demand for energy and quality of life. To satisfy a variety of modern requirements like emergency or routine repair, safe dig and excavation, monitoring, maintenance, and upscaling of the network, two basic tasks are always required. They are mapping and imaging (where?), and diagnosis (how healthy?). This chapter gives a review of the current state of the art of these two core topics, and their levels of expected survey accuracy, and looks forward to future trends of research and development (Sects. 24.1 and 24.2). From the point of view of physics, a large range of survey technologies is central to imaging and diagnosis, having originated from electromagnetic- and acoustic-based near-surface geophysical and nondestructive testing methods. To date, survey technologies have been further extended by multi-disciplinary task forces in various disciplines (Sect. 24.3). First, it involves sending and retrieving mechanical robots to survey the internal confined spaces of utilities using careful system control and seamless communication electronics. Secondly, the captured data and signals of various kinds are positioned, processed, and in the future, pattern-recognized with a database to robustly trace the location and diagnose the conditions of any particular type of utilities. Thirdly, such a pattern-recognized database of various types of defects can be regarded as a learning process through repeated validation in the laboratory, simulation, and ground-truthing in the field. This chapter is concluded by briefly introducing the human-factor or psychological and cognitive biases, which are in most cases neglected in any imaging and diagnostic work (Sect. 24.4). In short, the very challenging nature and large demand for utility imaging and diagnostics have been gradually evolving from the traditional visual inspection to a new era of multi-disciplinary surveying and engineering professions and even towards the psychological part of human–machine interaction.
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Hagn, Korbinian, and Oliver Grau. "Optimized Data Synthesis for DNN Training and Validation by Sensor Artifact Simulation." In Deep Neural Networks and Data for Automated Driving, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-01233-4_4.

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AbstractSynthetic, i.e., computer-generated imagery (CGI) data is a key component for training and validating deep-learning-based perceptive functions due to its ability to simulate rare cases, avoidance of privacy issues, and generation of pixel-accurate ground truth data. Today, physical-based rendering (PBR) engines simulate already a wealth of realistic optical effects but are mainly focused on the human perception system. Whereas the perceptive functions require realistic images modeled with sensor artifacts as close as possible toward the sensor, the training data has been recorded. This chapter proposes a way to improve the data synthesis process by application of realistic sensor artifacts. To do this, one has to overcome the domain distance between real-world imagery and the synthetic imagery. Therefore, we propose a measure which captures the generalization distance of two distinct datasets which have been trained on the same model. With this measure the data synthesis pipeline can be improved to produce realistic sensor-simulated images which are closer to the real-world domain. The proposed measure is based on the Wasserstein distance (earth mover’s distance, EMD) over the performance metric mean intersection-over-union (mIoU) on a per-image basis, comparing synthetic and real datasets using deep neural networks (DNNs) for semantic segmentation. This measure is subsequently used to match the characteristic of a real-world camera for the image synthesis pipeline which considers realistic sensor noise and lens artifacts. Comparing the measure with the well-established Fréchet inception distance (FID) on real and artificial datasets demonstrates the ability to interpret the generalization distance which is inherent asymmetric and more informative than just a simple distance measure. Furthermore, we use the metric as an optimization criterion to adapt a synthetic dataset to a real dataset, decreasing the EMD distance between a synthetic and the Cityscapes dataset from 32.67 to 27.48 and increasing the mIoU of our test algorithm () from 40.36 to $$47.63\%$$ 47.63 % .
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Abu-Taieh, Evon M. O., and Asim Abdel Rahman El Sheikh. "Discrete Event Simulation Process Validation, Verification, and Testing." In Verification, Validation and Testing in Software Engineering, 177–212. IGI Global, 2007. http://dx.doi.org/10.4018/978-1-59140-851-2.ch008.

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This chapter introduces validation, verification, and testing tools and techniques pertaining to discrete event simulation. The chapter distinguishes between validation and verification within the context of discrete event simulation. Then, we will show the importance of such topic by revealing the amount research done in simulation validation and verification. The chapter subsequently discusses the reasons why simulation projects fail and the sources of simulation inaccuracies. Next, the chapter gives different taxonomies for validation, verification, and testing techniques (VV&T) for both types of simulation systems: object-oriented-based and algorithmic-based. Therefore, the chapter will present a translation of thirteen software-engineering practices suggested for simulation projects. Notwithstanding the significance of providing an objective assessment platform, as such, the chapter will shed light on the independence of VV&T pertaining to simulation systems.
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Denize, Sara, Sharon Purchase, and Doina Olaru. "Using Case Data to Ensure ‘Real World’ Input Validation within Fuzzy Set Theory Models." In Fuzzy Methods for Customer Relationship Management and Marketing, 61–89. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0095-9.ch004.

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Fuzzy set theory models have considerable potential to address complex marketing and B2B problems, but for this methodology to be accepted, models require validation. However, there is relatively little detail in the literature dealing with validation of fuzzy simulation in marketing. This limitation is compounded by the difficulty of using case-based and qualitative evidence (data to which fuzzy models are well suited) when applying more general validation. The chapter illustrates a fuzzy model validation process using small-N cased based data and concludes with recommendations to assist researchers in validating their fuzzy models.
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Perz, Erhard, Fatima Dargam, Stefan Bergmann, Ekaterina Rodionova, Pedro Sousa, Francisco Alexandre A. Souza, and Tiago Matias. "Simulation and control systems in MIDES." In Microbial Desalination Cells for Low Energy Drinking Water, 137–74. IWA Publishing, 2021. http://dx.doi.org/10.2166/9781789062120_0137.

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Abstract This chapter presents the work concerning the modelling and simulation of the overall MDC process, as well as its performance analysis and optimization. It also focuses on the support that the work brings for operational decisions on desalination plants, specifically applied to a microbial-powered approach for water treatment and desalination, starting from the stages of process modelling, process simulation, optimization and lab-validation, through the stages of plant monitoring and automated control. The work is based on the application of the environment IPSEpro from SimTech for the stage of process modelling and simulation; and on the system Databridge from Oncontrol for automated control, which employs techniques of machine learning.
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Weiguo, Liu, Xiang Zhiyu, Yang Aixi, Li Guodong, and Wang Zixu. "An Augmented Reality-Based Proving Ground Vehicle-in-the-Loop Test Platform." In Advances in Transdisciplinary Engineering. IOS Press, 2024. http://dx.doi.org/10.3233/atde240017.

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One of the biggest challenges in validating the electronic equipment of vehicles is finding suitable methods for virtual testing and simulating real-world scenarios as accurately as possible. Although computer simulations are safe and reproducible, there are significant simulation-to-reality gaps, making safety testing within simulations unreliable. Due to the lack of Precise sensor and traffic models, The data generated through simulation appears to be relatively realistic, still cannot replicate all the details of the real world. In this study, we propose to construct a secure and reliable assessment and validation platform by leveraging the combination of augmented reality technology and vehicle-in-the-loop simulation technique, which is called augmented reality-based proving ground vehicle-in-the-loop test platform. The method aims to combine real-world and virtual testing, making it easier and safer to test autonomous vehicles in critical scenarios while optimizing the validation process. Our proposed system offers an improved approach by combining simulated sensor data with real sensor data collect to generate augmented reality scenario data, which include AR based BUS sensor, AR based camera and AR based Lidar, providing more precise data support for the perception and decision-making processes of autonomous vehicles. In summary, the above-mentioned method provides a more comprehensive and accurate way of simulating scenarios, which can help improve the performance and safety of autonomous vehicles in the real world. Finally, we demonstrate the broader implications that such a simulation paradigm may have for autonomy, specifically showing how realistic sensor simulation can improve perception performance.

Conference papers on the topic "Simulation-Based Validation process":

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Feng, Hsi-Yung (Steve). "Voxel-based Machining Simulation for Fast Process Validation." In The 9th World Congress on Mechanical, Chemical, and Material Engineering. Avestia Publishing, 2023. http://dx.doi.org/10.11159/icmie23.001.

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Ben Othmen, Rabeb, Wassim Abbessi, Sofiane Ouni, Wafa Badreddine, and Gilles Dequen. "Simulation Of Optimized Cluster Based PBFT Blockchain Validation Process." In 2023 IEEE Symposium on Computers and Communications (ISCC). IEEE, 2023. http://dx.doi.org/10.1109/iscc58397.2023.10218119.

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Schne, Tamas, and Tibor Holczinger. "Coloured Petri Net based PLC program validation with a fast simulation method." In 2013 International Conference on Process Control (PC). IEEE, 2013. http://dx.doi.org/10.1109/pc.2013.6581405.

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Doty, John, and Joshua Craven. "Initial Development of Statistically Based Validation Process for Computational Simulation." In 50th AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-627.

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Gao, Dong, Beike Zhang, Xin Xu, and Yao Xiao. "Signed Directed Graph based Simulation Model Validation Framework for Petrochemical Process." In 2019 Chinese Control Conference (CCC). IEEE, 2019. http://dx.doi.org/10.23919/chicc.2019.8866186.

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Li, Jing, Zissimos P. Mourelatos, Michael Kokkolaras, Panos Y. Papalambros, and David J. Gorsich. "Validating Designs Through Sequential Simulation-Based Optimization." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28431.

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Computational simulation models support a rapid design process. Given model approximation and operating conditions uncertainty, designers must have confidence that the designs obtained using simulations will perform as expected. This paper presents a methodology for validating designs as they are generated during a simulation-based optimization process. Current practice focuses on validation of simulation models throughout the entire design space. In contrast, the proposed methodology requires validation only at design points generated during optimization. The goal of such validation is confidence in the resulting design rather than in the underlying simulation model. The proposed methodology is illustrated on a simple cantilever beam design subject to vibration.
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"A Petri Net Based Methodology for Business Process Modeling and Simulation." In The 4th International Workshop on Modelling, Simulation,Verification and Validation of Enterprise Information Systems. SciTePress - Science and and Technology Publications, 2006. http://dx.doi.org/10.5220/0002504700030015.

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Dong, Han, He Renmu, and Ma Jin. "Power System Dynamic Simulation Validation Based on Similarity Theory and Analytical Hierarchy Process." In 2006 International Conference on Power System Technology. IEEE, 2006. http://dx.doi.org/10.1109/icpst.2006.321736.

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Hutten, Victoria, Alireza Forghani, Paulo Silva, Curtis Hickmott, Thammaia Sreekantamurthy, Christopher Wohl, Brian Grimsley, Brian Coxon, and Anoush Poursartip. "A Validation Study of a Physics-based Tack Model for an Automated Fiber Placement Process Simulation." In SAMPE 2019 - Charlotte, NC. SAMPE, 2019. http://dx.doi.org/10.33599/nasampe/s.19.1512.

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Shu, Xinggao, Mark Dembosky, Curtis Urban, and Nicholas Wilson. "Rail Wear Simulation and Validation." In 2010 Joint Rail Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/jrc2010-36189.

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Transportation Technology Center, Inc. (TTCI), a wholly owned subsidiary of the Association of American Railroads (AAR), has developed an iterative rail wear prediction model in the NUCARS® vehicle/track interaction multibody simulation program through internal research and development efforts and with funding from Network Rail (NR) in the UK. The rail wear model was built upon the NUCARS® penetration model1 to take advantage of the wheel/rail (W/R) contact calculation methodology for conformal W/R profiles. In addition to the advantages of NUCARS vehicle and track modeling capabilities, it modifies the rail profile online based on the Wear Indices (Tγ) and penetrated W/R profile shapes in the multipoint contact patches, and automatically updates the rail profile for the next run. The penetrated wheel profile segments or “wheel footprints” are blended into the modified rail profile. The worn rail shape eventually resembles the wheel shapes in the wheel database, and the wear process results in conformal W/R profile shapes. Rail wear prediction was validated using rail wear test results based on 515 million gross tons (MGT) of heavy axle load (39-ton (35-tonne) axle loads) freight traffic accumulated from 2003 to 2007 at the Facility for Accelerated Service Testing (FAST) on the nonground test zone (Section 25, 6-degree (291-meter (m)) curve with 5 inches (127 millimeter (mm)) superelevation). A wheel database, consisting of 50 measured new, mildly worn and heavily worn FAST train wheel profiles, was used to reflect the wheel shape effects during the wear process. This model has been used to predict rail relative wear trends of ground rail profiles for NR.2,3,4 A quantified W/R gap loss function has been implemented in NR’s Track-Ex© program5 for prioritizing rail grinding.

Reports on the topic "Simulation-Based Validation process":

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Bäumler, Maximilian, Madlen Ringhand, Christian Siebke, Marcus Mai, Felix Elrod, and Günther Prokop. Report on validation of the stochastic traffic simulation (Part B). Technische Universität Dresden, 2021. http://dx.doi.org/10.26128/2021.243.

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This document is intended to give an overview of the validation of the human subject study, conducted in the driving simulator of the Chair of Traffic and Transportation Psychology (Verkehrspsychologie – VPSY) of the Technische Universität Dresden (TUD), as well of the validation of the stochastic traffic simulation developed in the AutoDrive project by the Chair of Automotive Engineering (Lehrstuhl Kraftfahrzeugtechnik – LKT) of TUD. Furthermore, the evaluation process of a C-AEB (Cooperative-Automatic Emergency Brake) system is demonstrated. The main purpose was to compare the driving behaviour of the study participants and the driving behaviour of the agents in the traffic simulation with real world data. Based on relevant literature, a validation concept was designed and real world data was collected using drones and stationary cameras. By means of qualitative and quantitative analysis it could be shown, that the driving simulator study shows realistic driving behaviour in terms of mean speed. Moreover, the stochastic traffic simulation already reflects reality in terms of mean and maximum speed of the agents. Finally, the performed evaluation proofed the suitability of the developed stochastic simulation for the assessment process. Furthermore, it could be shown, that a C-AEB system improves the traffic safety for the chosen test-scenarios.

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