Relevant bibliographies by topics / Validation techniques

Academic literature on the topic 'Validation techniques'

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Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Validation techniques"

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Anderson, Will. "Software Validation Techniques." Drug Information Journal 21, no. 4 (October 1987): 461–69. http://dx.doi.org/10.1177/009286158702100413.

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Estrade, Jean-Louis. "Validation des techniques myotensives." Kinésithérapie, la Revue 9, no. 95 (November 2009): 14. http://dx.doi.org/10.1016/s1779-0123(09)70051-8.

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Griffith, D. Todd, Thomas G. Carne, and Joshua A. Paquette. "Modal Testing for Validation of Blade Models." Wind Engineering 32, no. 2 (March 2008): 91–102. http://dx.doi.org/10.1260/030952408784815817.

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The focus of this paper is a test program designed for wind turbine blades. Model validation is a comprehensive undertaking which requires carefully designing and executing experiments, proposing appropriate physics-based models, and applying correlation techniques to improve these models based on the test data. Structural models are useful for making decisions when designing a new blade or assessing blade performance, and the process of model validation is needed to ensure the quality of these models. Blade modal testing is essential for validation of blade structural models, and this report discusses modal test techniques required to achieve validation. Choices made in the design of a modal test can significantly affect the final test result. This study aims to demonstrate the importance of the proper pre-test design and test technique for validating blade structural models.
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Reinehr, Robert C. "Demonstrating Personality Scale Validation Procedures." Teaching of Psychology 18, no. 4 (December 1991): 241–42. http://dx.doi.org/10.1207/s15328023top1804_14.

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A technique is described for demonstrating personality scale validation techniques to students in introductory psychology classes. This technique promotes a better grasp of the principles of test validation, as evidenced by better class discussion, better written reports, and improved examination grades. Introducing practical applications before presenting theoretical constructs is an effective approach to the teaching of personality scale validation techniques.
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Hasan, Inamul, R. Mukesh, P. Radha Krishnan, R. Srinath, Dhanya Prakash Babu, and Negash Lemma Gurmu. "Wind Tunnel Testing and Validation of Helicopter Rotor Blades Using Additive Manufacturing." Advances in Materials Science and Engineering 2022 (September 21, 2022): 1–13. http://dx.doi.org/10.1155/2022/4052208.

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This research paper aims to validate the aerodynamic performance of rotor blades using additive manufacturing techniques. Wind tunnel testing is a technique used to find the flow characteristics of the body. Computational fluid dynamics (CFD) techniques are used for aerodynamic analysis, and validation should be done using wind tunnel testing. In the aerodynamic testing of models, additive manufacturing techniques help in validating the results by making models easily for wind tunnels. Recent developments in additive manufacturing help in the aerodynamic testing of models in wind tunnels. The CFD analysis of helicopter rotor blades was analyzed in this research, and validation was done using additive manufacturing techniques. Computational analysis was carried out for static analysis for the forward speeds of Mach numbers 0.3, 0.4, and 0.5. The results obtained were satisfactory to the previous results and were validated with wind tunnel testing. Results proved that the error percentage was lower, and the computational analysis was valid. In this research, models were designed using the FDM technique for wind tunnel testing as it is cost-effective and easy to manufacture.
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Baharin, Mohd Noor, Zulkifli Mohd Nopiah, Shahrum Abdullah, and Mohd Jailani Mohd Nor. "A Study on Validation of Fatigue Damage Clustering Analysis Technique Based on Clustering Validation Index." Applied Mechanics and Materials 165 (April 2012): 140–44. http://dx.doi.org/10.4028/www.scientific.net/amm.165.140.

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This paper presents the comparative study on two types of the clustering technique for decomposing Variable Amplitude (VA) loadings signals based on its amplitude. These two techniques are used to recognize clusters or patterns of fatigue damaging events in the record which will bring aboutthe majority of fatigue damage. However, one of the problems that existswhencomparing which technique will produce better clusters is the fact thata clustering validation index isneeded. In this study, techniques that were used were theFuzzy C-means and C-means. At first, the VA data weresegmented using the Running Damage Extraction (RDE) technique. Then, each segment produced wasanalysed using the strain life approach and global statistical signal values. Finally, the accuracy of each clustering technique wasmeasured based on the OV coefficient index. From the study, the index shows that the Fuzzy C-means technique produced much better clusters rather than the C-mean clustering technique.
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Kirwan, Barry. "Validation of human reliability assessment techniques: Part 1 — Validation issues." Safety Science 27, no. 1 (October 1997): 25–41. http://dx.doi.org/10.1016/s0925-7535(97)00049-0.

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Kirwan, Barry. "Validation of human reliability assessment techniques: Part 2 — Validation results." Safety Science 27, no. 1 (October 1997): 43–75. http://dx.doi.org/10.1016/s0925-7535(97)00050-7.

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Worth, Andrew P., Martin D. Barratt, and J. Brian Houston. "The Validation of Computational Prediction Techniques." Alternatives to Laboratory Animals 26, no. 2 (March 1998): 241–47. http://dx.doi.org/10.1177/026119299802600208.

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Drechsler, R., and D. Große. "System level validation using formal techniques." IEE Proceedings - Computers and Digital Techniques 152, no. 3 (2005): 393. http://dx.doi.org/10.1049/ip-cdt:20045073.

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Dissertations / Theses on the topic "Validation techniques"

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Jonoud, Sima. "Validation of steady-state upscaling techniques." Thesis, Imperial College London, 2006. http://hdl.handle.net/10044/1/7812.

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PEDDIREDDY, SANTOSH KUMAR REDDY, and SRI RAM NIDAMANURI. "Requirements Validation Techniques : Factors Influencing them." Thesis, Blekinge Tekniska Högskola, Institutionen för programvaruteknik, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21152.

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Context: Requirement validation is a phase of the software development life cycle where requirements are validated to get rid of inconsistency, incompleteness. Stakeholders involved in the validation process to make requirements are suitable for the product. Requirement validation techniques are for validating the requirements. Selection of requirements validation techniques related to the factors that need to consider while validating requirements makes the validation process better. This paper is about the factors that influence the selection of requirements validation technique and analyzing the most critical factors. Objectives: Our research aim is to find the factors influencing the selection of requirements validation techniques and evaluating critical factor from the factors list. To achieve our goal, we are following these objectives. To get a list of validation techniques that are currently being used by organizations, and to enlist the factors that influence the requirements validation technique. Methods: To identify the factors influencing the selection of requirement validation techniques and evaluating the critical factors, we conducted both a literature review and survey. Results: From the literature review, two articles considered as our starter set, and through snowball sampling, a total of fifty-four articles were found relevant to the study. From the results of the literature review, we have formulated a questionnaire and conducted a survey. A total of thirty-three responses have gathered from the survey. The survey obtains the factors influencing the requirement validation techniques. Conclusions: The factors we got from the survey possess a mixed view like each factor has its critically in different aspects of validation. Selecting one critical factor is not possible during the selection of the requirements validation technique. So, we shortlisted the critical factors that have more influence in the selection of requirement validation techniques, Factors, Requirements validation techniques.
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Coleby, Dawn Elizabeth. "Assessment of techniques for electromagnetic modelling validation." Thesis, De Montfort University, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.406028.

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Shen, Jian. "Effective techniques for processor validation and test /." Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.

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Ewanchyna, Theodore J. "Techniques for specification and validation of complex protocols." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq26014.pdf.

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Kufel, Jedrzej. "Techniques and validation for protection of embedded processors." Thesis, University of Southampton, 2015. https://eprints.soton.ac.uk/381185/.

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Advances in technology scaling and miniaturization of on-chip structures have caused an increasing complexity of modern devices. Due to immense time-to-market pressures, the reusability of intellectual property (IP) sub-systems has become a necessity. With the resulting high risks involved with such a methodology, securing IP has become a major concern. Despite a number of proposed IP protection (IPP) techniques being available, securing an IP in the register transfer level (RTL) is not a trivial task, with many of the techniques presenting a number of shortfalls or design limitations. The most prominent and the least invasive solution is the integration of a digital watermark into an existing IP. In this thesis new techniques are proposed to address the implementation difficulties in constrained embedded IP processor cores. This thesis establishes the parameters of sequences used for digital watermarking and the tradeoffs between the hardware implementation cost, detection performance and robustness against IP tampering. A new parametric approach is proposed which can be implemented with any watermarking sequence. MATLAB simulations and experimental results of two fabricated silicon ASICs with a watermark circuit embedded in an ARMR Cortex R-M0 IP core and an ARMR Cortex R-A5 IP core demonstrate the tradeoffs between various sequences based on the final design application. The thesis further focuses on minimization of hardware costs of a watermark circuit implementation. A new clock-modulation based technique is proposed and reuses the existing circuit of an IP core to generate a watermark signature. Power estimation and experimental results demonstrate a significant area and power overhead reduction, when compared with the existing techniques. To further minimize the costs of a watermark implementation, a new technique is proposed which allows a non-deterministic and sporadic generation of a watermark signature. The watermark was embedded in an ARMR Cortex R-A5 IP core and was fabricated in silicon. Experimental silicon results have validated the proposed technique and have demonstrated the negligible hardware implementation costs of an embedded watermark.
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Kolluri, Murali Mohan. "Developing a validation metric using image classification techniques." University of Cincinnati / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1406819893.

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Grisot, Giorgia. "Validation of dMRI techniques for mapping brain pathways." Thesis, Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/122194.

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This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Thesis: Ph. D., Harvard-MIT Program in Health Sciences and Technology, 2019
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 201-222).
Diffusion magnetic resonance imaging (dMRI) tractography is the only non-invasive tool for studying the connectional architecture of the brain in vivo. By measuring the diffusion of water molecules dMRI provides unique information about white matter pathways and their integrity, making it an invaluable neuroimaging tool that has improved our understanding of the human brain and how it is affected by disease. A major roadblock to its acceptance into clinical practice has been the difficulty in assessing its anatomical accuracy and reliability. In fact, obtaining a map of brain pathways is a multi-step process with numerous variables, assumptions and approximations that can influence the veracity of the generated pathways. Validation is, thus, necessary and yet challenging because there is no gold standard which dMRI can be compared to, since the configuration of human brain connections is largely unknown. Which aspects of tractography processing have the greatest effect on its performance? How do mapping methods compare? Which one is the most anatomically accurate? We tackle these questions with a multi-modal approach that capitalizes on the complementary strengths of available validation strategies to probe dMRI performance on different scales and across a wide range of acquisition and analysis parameters. The outcome is a multi-layered validation of dMRI tractography that 1) quantifies dMRI tractography accuracy both on the level of brain connections and tissue microstructure; 2) highlights the strengths and weaknesses of different modeling and tractography approaches, offering guidance on the issues that need to be resolved to achieve a more accurate mapping of the human brain.
by Giorgia Grisot.
Ph. D.
Ph.D. Harvard-MIT Program in Health Sciences and Technology
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Thieffry, Roland. "Etude et Validation de Systèmes d'Aide à l'Autonomie des Personnes Handicapées." Paris 6, 2004. http://www.theses.fr/2004PA066320.

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Slesinger, Nathan Avery. "Thermal modeling validation techniques for thermoset polymer matrix composites." Thesis, University of British Columbia, 2010. http://hdl.handle.net/2429/26641.

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Process modeling is becoming a widely-accepted tool to reduce the time, cost, and risk in producing increasingly large and complicated composite structures. Process modeling reduces the need for physical parts, as it is not practical or economical to design and fabricate large composite structures using a trial-and-error approach. The foundation of the composite manufacturing process, and thus of process models, is the thermal history of the composite part during cure. Improperly curing the composite part will compromise its mechanical properties. Consequently, proper validation of the thermal model input parameters is critical, since the simulation output depends on the accuracy of the input. However, there are no standard methods to validate thermal process model input parameters. In this work, repeatable and robust methods were developed to isolate and validate the conductive heat transfer, thermochemical, and convective heat transfer sub-models. By validating the sub-models, the uncertainty of the complete thermal simulation was significantly reduced. Conductive and thermochemical material models were validated by comparing the thermal response of a material surrounded by rubber bricks to a 1-D simulation of the same materials. Four composite prepreg systems and their respective material models were tested, with agreement ranging from excellent (errors less than 1.0 °C) to poor (errors greater than 5.0 °C). Calorimetery, visual monitoring, and CFD were used to characterize the convective heat transfer environment inside the UBC autoclave. The validation methods were also used to better understand the capabilities and limitations of the autoclave. Local variations in airflow patterns and heat transfer coefficients showed that heat transfer can be highly variable in an individual piece of equipment. Simple procedures for characterization of an autoclave or oven were demonstrated. The developed methods can be used individually, or in combination, to validate thermal models and reduce uncertainties associated with the cure of composites. With further refinement, the demonstrated methods can be developed into validation standards for thermal modeling of composite materials.
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Books on the topic "Validation techniques"

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Reghbati, Hassan K. VLSI: Testing and validation techniques. Washington, D.C: IEEE Computer Society Press, 1985.

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Coleby, Dawn Elizabeth. Assessment of techniques for electromagnetic modelling validation. Leicester: De Montfort University, 2004.

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Rafiq, T. J. Structural validation of GRP components using ultrasonic techniques. Manchester: UMIST, 1993.

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Margaria, Tiziana, and Bernhard Steffen, eds. Leveraging Applications of Formal Methods, Verification and Validation: Foundational Techniques. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-47166-2.

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Colloby, Jennifer. The validation process for EYPS. Exeter [England]: Learning Matters, 2008.

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Abouarkoub, Ahmed Ali Mohamed. In-situ validation of three-phase flowmeters using cpacitance sensing techniques. [Derby: University of Derby], 2003.

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Klerk-Rubin, Vicki de. Validation techniques for dementia care: The family guide to improving communication. Baltimore: Health Professions Press, 2008.

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Chen, Mingsong. System-Level Validation: High-Level Modeling and Directed Test Generation Techniques. New York, NY: Springer New York, 2013.

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Miller, John S. Field validation of speed estimation techniques for air quality conformity analysis. Charlottesville, Va: Virginia Transportation Research Council, 2004.

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Margaria, Tiziana, and Bernhard Steffen, eds. Leveraging Applications of Formal Methods, Verification and Validation. Specialized Techniques and Applications. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45231-8.

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Book chapters on the topic "Validation techniques"

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Bohlin, Torsten. "Validation techniques." In Interactive System Identification: Prospects and Pitfalls, 220–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-642-48618-0_7.

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Pohl, Klaus. "Validation Techniques." In Requirements Engineering, 537–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12578-2_14.

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Keesman, Karel J. "Model Validation Techniques." In Advanced Textbooks in Control and Signal Processing, 225–47. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-522-4_9.

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Ferguson, Russ, and Christian Heilmann. "Data Validation Techniques." In Beginning JavaScript with DOM Scripting and Ajax, 279–95. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-5093-7_9.

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McCloskey, Cindy, and S. Terence Dunn. "Test Validation." In Modern Clinical Molecular Techniques, 23–47. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-2170-2_3.

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Bracht, Thilo, Dominik Andre Megger, Wael Naboulsi, Corinna Henkel, and Barbara Sitek. "Quantitative Proteomics Techniques in Biomarker Discovery." In Biomarker Validation, 23–37. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527680658.ch2.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. "Property Clustering and Learning Techniques." In System-Level Validation, 79–106. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1359-2_5.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. "Decision Ordering Based Learning Techniques." In System-Level Validation, 107–27. New York, NY: Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1359-2_6.

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Resig, John, Russ Ferguson, and John Paxton. "JavaScript and Form Validation." In Pro JavaScript Techniques, 95–105. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4302-6392-0_7.

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Mayerich, David, Yoonsuck Choe, and John Keyser. "Reconstruction, Techniques and Validation." In Encyclopedia of Computational Neuroscience, 2591–93. New York, NY: Springer New York, 2015. http://dx.doi.org/10.1007/978-1-4614-6675-8_288.

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Conference papers on the topic "Validation techniques"

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Krishnamoorthy, R., and S. Sreedhar Kumar. "Optimized cluster validation technique for unsupervised clustering techniques." In 2014 International Conference on Information Communication and Embedded Systems (ICICES). IEEE, 2014. http://dx.doi.org/10.1109/icices.2014.7033782.

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Orduyilmaz, A., G. Kara, M. Ispir, and A. Yildirim. "Electronic attack techniques validation environment." In 2013 21st Signal Processing and Communications Applications Conference (SIU). IEEE, 2013. http://dx.doi.org/10.1109/siu.2013.6531463.

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Dwyer, Matthew B., and Sebastian Elbaum. "Unifying verification and validation techniques." In the FSE/SDP workshop. New York, New York, USA: ACM Press, 2010. http://dx.doi.org/10.1145/1882362.1882382.

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Phares, Brent M., Glenn A. Washer, Mark Moore, and Benjamin A. Graybeal. "Validation of NDE methods." In Nondestructive Evaluation Techniques for Aging Infrastructures & Manufacturing, edited by Steven B. Chase. SPIE, 1999. http://dx.doi.org/10.1117/12.339916.

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Fraedrich, Doug. "Validation Techniques for Image-Based Simulations." In 35th IEEE Applied Imagery and Pattern Recognition Workshop (AIPR'06). IEEE, 2006. http://dx.doi.org/10.1109/aipr.2006.39.

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Marjani, Mehrsa, Moustafa El-Gindy, David Philipps, Fredrik Öijer, and Inge Johansson. "FEA Tire Modeling and Validation Techniques." In ASME 2015 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/detc2015-46514.

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Recent advances in power and efficiency of computerized modeling methods has made it easier to develop accurate tire models. These newer models are now created with such accuracy that it has become easy to predict the experimental tire’s behavior and characteristics. These models are helpful with determining tire, tire-road, and tire-soil interaction properties. By creating virtual models, the overall capital for research and development can be reduced as well as replacing unavailable experimental tires for research. This research paper mainly focuses on the validation of computer generated FEA tire models which are then used for the prediction of the experimental tire’s rolling resistance, static and dynamic characteristics. Experimental data, such as rolling resistance and vertical acceleration are used in validation simulations in order to tune the virtual model to match the experimental tire’s behavior. The tire that was used for this research is a six-groove 445/50R22.5 FEA truck tire, which was constructed and validated over the course of this research.
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Wang, Kefei, Kamy Sepehrnoori, and John Edwin Killough. "Ultrafine-Scale Validation of Upscaling Techniques." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2005. http://dx.doi.org/10.2118/95774-ms.

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Mishra, Sumit, Sriparna Saha, and Samrat Mondal. "Cluster validation techniques for Bibliographic databases." In 2014 IEEE Students' Technology Symposium (TechSym). IEEE, 2014. http://dx.doi.org/10.1109/techsym.2014.6807921.

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Taravade, Kunal N., Neal P. Callan, Ebo H. Croffie, and Aftab Ahmad. "Electrical validation of resolution enhancement techniques." In Advanced Microelectronic Manufacturing, edited by Alfred K. K. Wong and Kevin M. Monahan. SPIE, 2003. http://dx.doi.org/10.1117/12.485275.

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Raja, Uzair Akbar. "Empirical studies of requirements validation techniques." In 2009 2nd International Conference on Computer, Control and Communication (IC$). IEEE, 2009. http://dx.doi.org/10.1109/ic4.2009.4909209.

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Reports on the topic "Validation techniques"

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Larson, Edward C., B. E. Parker, Poor Jr., and H. V. Multivariate Nonparametric Statistical Techniques for Simulation Model Validation. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330896.

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Ulibarri, C. A., and K. F. Wellman. Natural resource validation: A primer on concepts and techniques. Office of Scientific and Technical Information (OSTI), July 1997. http://dx.doi.org/10.2172/676922.

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Bowden, Josh M., Locke A. Karriker, Kenneth J. Stalder, and Anna K. Johnson. Scan Sampling Techniques for Behavioral Validation in Nursery Pigs. Ames (Iowa): Iowa State University, January 2008. http://dx.doi.org/10.31274/ans_air-180814-852.

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Cler, Daniel L. Techniques for Analysis and Validation of Unsteady Blast Wave Propagation. Fort Belvoir, VA: Defense Technical Information Center, August 2003. http://dx.doi.org/10.21236/ada417157.

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Johnson, Anna K., and John J. McGlone. Validation of Scan Sampling Techniques for Lactating Sows Kept Outdoors. Ames (Iowa): Iowa State University, January 2008. http://dx.doi.org/10.31274/ans_air-180814-767.

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Holdmann, Gwen. Recovery Act Validation of Innovative Exploration Techniques Pilgrim Hot Springs, Alaska. Office of Scientific and Technical Information (OSTI), April 2015. http://dx.doi.org/10.2172/1182279.

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Kornfeld, Judith R. Specification and Preliminary Validation of IAT (Integrated Analysis Techniques) Methods: Executive Summary. Fort Belvoir, VA: Defense Technical Information Center, March 1985. http://dx.doi.org/10.21236/ada162509.

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Melius, J., R. Margolis, and S. Ong. Estimating Rooftop Suitability for PV: A Review of Methods, Patents, and Validation Techniques. Office of Scientific and Technical Information (OSTI), December 2013. http://dx.doi.org/10.2172/1117057.

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Roach, D., and P. Walkington. Development and validation of nondestructive inspection techniques for composite doubler repairs on commercial aircraft. Office of Scientific and Technical Information (OSTI), May 1998. http://dx.doi.org/10.2172/672084.

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Ben-Shalom, Ami, Adam Devir, and Leslie Salem. Development and Validation of Measurement Techniques of Transmittance of Thermal Contrast Utilizing Existing IR Imagers. Fort Belvoir, VA: Defense Technical Information Center, July 1988. http://dx.doi.org/10.21236/ada204920.

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