Relevant bibliographies by topics / Validation

Academic literature on the topic 'Validation'

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Published: 4 June 2021
Last updated: 31 July 2024

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Journal articles on the topic "Validation"

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Ahmad, Norita, and Kevin Dias. "Validating “Data Validation”." Computer 54, no. 10 (October 2021): 129–32. http://dx.doi.org/10.1109/mc.2021.3099045.

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Kohn, Lita S. "Validating Current Validation Therapy." Journal of Gerontological Nursing 19, no. 11 (November 1, 1993): 6. http://dx.doi.org/10.3928/0098-9134-19931101-04.

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Primasari, Yusniarsi, Sri Lestanti, and Riska Dhenabayu. "Effectiveness of Reading for Islamic Education: Design of Multi-Platform Educational Game as Instructional Media." AL-HAYAT: Journal of Islamic Education 3, no. 2 (December 13, 2019): 140. http://dx.doi.org/10.35723/ajie.v3i2.77.

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The purpose of this research is a solution by designing a modern learning media namely windows and android-based multi-platform educational game for Islamic education students that is inserted with reading materials based on the curriculum of english in Islamic educational institution subject for grade 7 students of tsanawiyah school (MTs). This game was designed by utilizing construct 2 software. This research produces a multi-platform educational game namely the Adventure of Timun Mas. Material and media validations were performed by some experts who are competent in their fields. Material validation was done by english teachers of Junior High School and english education lecturers. Meanwhile, media validation was performed by practitioners, game developer, and Informatics Engineering lecturers. From the result of both material and media validation, each validator was summed, and then divided by the overall score and multiplied by 100%. The final result of product validation was 82.95%, indicating that The Adventure of Timun Mas game is valid to use.
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Karthick, C., and K. Kathiresan. "Pharmaceutical Process Validation: A Review." Journal of Drug Delivery and Therapeutics 12, no. 1-S (February 15, 2022): 164–70. http://dx.doi.org/10.22270/jddt.v12i1-s.5316.

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Pharmaceutical industries are in now their peak period. There is a need to ensure that pharmaceutical process validations are being done so well and results we obtain is reproducible. Results simply ensure product items consistency. These validations must be done in such a way that final product satisfies all of requirements, is very necessary in pharmaceutical field. Whatever will be the product or whatever will be the protocols, important prerequisite is Quality. Process validation signifies the values of analytical tools, analytical procedures, objective measures and it gives attention towards Knowledge, Detection and control on variabilities So as to assure quality throughout the life cycle of product. The object of this article is to explain the enormous utilities of process validation and their need, methods. This process validation assures the delivery of product just like predetermined. Without the process validation one cannot expect the precision in results. Keywords: PV- Process validation, CV- Concurrent validation, RV- Retrospective validation
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Septianto, Tri, Ainaini Ratna Noeri, and Dewi Kristanti. "Development Lughotuna Application in Arabic Learning." EDUKASI : Jurnal Pendidikan Islam (e-Journal) 10, no. 2 (December 19, 2022): 272–80. http://dx.doi.org/10.54956/edukasi.v10i2.354.

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Arabic language learning that is not optimal in class VII B at MTs Negeri 1 Sidoarjo is caused by the learning media used so far that is less attractive, and the teacher needs to include the four skills that the teacher into the learning media must own. So it is necessary to develop a learning media to help optimize learning. This study aims to explain and examine the learning media developed in the form of an android application called Lughotuna. The mixed method was used in this study. Data is sourced from informants who know the focus, such as school principals and learning admins obtained by observation and interviews. The supporting data comes from various books, journals and other encyclopedias. The data were then analyzed quantitatively and qualitatively. Learning media development includes 1) problem identification; 2) product design; 3) validation; and 4) product publication. In product design, there are two validations: media design validation and media content validation. Media design validation uses four aspects of assessment, including 1) ease of use and navigation; 2) aesthetics or beauty; 3) media integration, and 4) technical quality. In validating media content, three aspects of assessment are used, namely 1) suitability; 2) quality and purpose of content; and 3) instructional quality. In validating media design and media content, possible results are obtained.
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Wibawa, Setya Chendra. "THE DESIGN AND IMPLEMENTATION OF AN EDUCATIONAL MULTIMEDIA INTERACTIVE OPERATION SYSTEM USING LECTORA INSPIRE." Elinvo (Electronics, Informatics, and Vocational Education) 2, no. 1 (May 15, 2017): 74–79. http://dx.doi.org/10.21831/elinvo.v2i1.16633.

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The objective this research to produce a valid interactive learning tool and practice based on learning media Lectora Inspire; knowing the student response against the learning tool, and knowing the student learning outcomes after using Lectora inspire learning media. Research and development of the research method using ADDIE model. Research with the learning media to be tested against the 32 student X level of Vocational High School and the subject is operation system. Research analysis results obtained through student response and question form reserved post-test. Validation of results obtained through validation by the validator which consists of one lecturer of Informatics and two teachers in a primary against 83.3% of Planning of Learning validation, validation against reserved posttest of 93.9% and validation against the media learner Lectora inspire of 100%, the results of all the validations that meets the criteria for applied research. The percentage of the average student response against Lectora media inspire 85.9%. While the percentage of student learning results expressed satisfaction with the presentation of graduation of 84.375% means it can be inferred that the media Lectora inspire gets good results and media can be said to be effective as a learning tool to supporting study students.
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Dettore, Davide, and Iglis Innocenti. "La validation di casi di presunto abuso sessuale su minori: qualcosa č cambiato?" MALTRATTAMENTO E ABUSO ALL'INFANZIA, no. 2 (June 2009): 17–31. http://dx.doi.org/10.3280/mal2009-002003.

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- The methodology used in validations of supposed child sexual abuse cases is fundamental in relation to the final decisions in the court. The international and national literature codified specific procedures held necessary for the validation integrity. Method: 17 validation interviews, conducted in the 1998-2002 years, were confronted with 20 interviews, implemented in the 2003-2008 years; all were evaluated according to 9 criteria, founded upon the scientific literature. Results: in spite of the growth of the number of correct validations in last years, 2/3 of such validations aren't methodologically adequate. Conclusions: the low quality of the examined validations underlines the importance of training programs to increase the experts competence and the judges discrimination skill between well done and incorrect validations.Key words: child sexual abuse, validation, neurosciences, false memories.Parole chiave: abuso sessuale sui minori, validation, neuroscienze, false memorie.
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Annisa, Putri, and Ahmad Nizar Rangkuti. "LINTASAN BELAJAR MATERI ARITMATIKA SOSIAL DENGAN PENDEKATAN PENDIDIKAN MATEMATIKA REALISTIK DI SMP NEGERI 1 BATANG ANGKOLA KABUPATEN TAPANULI SELATAN." Math Educa Journal 3, no. 2 (November 11, 2019): 109–17. http://dx.doi.org/10.15548/mej.v3i2.676.

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The Purpose of the research is to find out validation and practically learning trajectory by realistic mathematics education approach of social arithmetic object in SMP Negeri 1 Batang Angkola. This research in research forming design research type validation study even the purposing developing local intruction theory (LIT) by compinion researcher and teacher to improving quality of learning. The action this research at SMP Negeri 1 Batang Angkola by experience subject of product in grade VII-A, leader 32 students. The instrument collecting data by using validation paper, questionnaire and using analysing validation technique and practicalitation. The result of research point out learning trajectory by realistic mathematics education approach said valid and practice. The validating source learning point out with score 76% by analyses 2 validator. The practicitation source learning find out with score 88% from questionnening respon of students, action all componens. Realistic Mathematics Education Approach to proccesing learning and extracted student in learning social arithmetic material. The source of learning resulting to this research forming activities action from reaching the purpose of learning, when purpose of learning are understanding social arithmetic concept.
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Schubert, Armin. "Faculty Teaching Scores: Validating Evaluations, Evaluating Validation." Anesthesia & Analgesia 107, no. 4 (October 2008): 1098–99. http://dx.doi.org/10.1213/ane.0b013e318182fbf1.

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Palacio-Quintin, Ercilia. "Validation transculturelle ou validation linguistique?" Canadian Psychology/Psychologie canadienne 32, no. 1 (1991): 96–97. http://dx.doi.org/10.1037/h0084621.

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Dissertations / Theses on the topic "Validation"

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Yuan, Changzheng. "Nutrient Validation In Women's Lifestyle Validation Study." Thesis, Harvard University, 2015. http://nrs.harvard.edu/urn-3:HUL.InstRepos:16121152.

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Nutritional factors have been intensively studied as important determinants of many diseases. Food frequency questionnaires (FFQ), dietary records, 24-hour dietary recalls, nutrient biomarkers are important dietary assessment methods, and are subject to various sources of measurement error. Given the limitations of these methods, much effort has been devoted to refining them and evaluating their ability to measure diet. This dissertation focused on evaluating the performance of a semi-quantitative FFQ (SFFQ), multiple web-based automated-self-administered 24-hour recalls (ASA24), 7-day dietary records (7DDR) and biochemical indicators in assessing nutrient intakes among women. Intraclass correlation coefficient, Spearman correlation coefficient, and validity coefficient calculated by method of triads were used to evaluate the reproducibility and validity of each dietary method. The first paper evaluated the performance of a 152-item SFFQ comparing intakes of nutrients estimated by SFFQ with those measured by the average of two 7DDR, and of four ASA24s kept over a one-year period. The study SFFQ performed consistently well when compared with multiple diet records, and that modifications to the questionnaire over time have adequately taken into account the changes in the food supply and eating patterns that have occurred since 1980. Multiple ASA24s can provide similar estimates of validity as dietary records if day-to-day variation is taken into account. The second paper explored the validity of long-term intakes of energy, protein, sodium and potassium assessed by SFFQ and ASA24s using recovery biomarkers and 7DDR as standards. The study SFFQ and averaged ASA24’s are reasonably valid measurements for energy-adjusted protein, sodium and potassium compared to multiple recovery biomarkers or dietary records. Recovery biomarkers should not be considered to be without error, including systematic within-person error. Finally, the third paper further evaluated the validity of nutrient assessed by SFFQ and ASA24 compared with intakes by the 7DDR and plasma levels of fatty acids, carotenoids, retinol, tocopherols and folate. Again, the study SFFQ provides reasonably valid measurements for specific fatty acid, most carotenoids, alpha-tocopherol and folate compared to concentration biomarkers or dietary records. Compared to SFFQ, almost all nutrients estimated by averaged ASA24s had relatively low correlations with biomarkers, 7DDRs and estimated ‘true’ underlying intakes.
Nutrition
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Koepke, Hoyt Adam. "Bayesian cluster validation." Thesis, University of British Columbia, 2008. http://hdl.handle.net/2429/1496.

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We propose a novel framework based on Bayesian principles for validating clusterings and present efficient algorithms for use with centroid or exemplar based clustering solutions. Our framework treats the data as fixed and introduces perturbations into the clustering procedure. In our algorithms, we scale the distances between points by a random variable whose distribution is tuned against a baseline null dataset. The random variable is integrated out, yielding a soft assignment matrix that gives the behavior under perturbation of the points relative to each of the clusters. From this soft assignment matrix, we are able to visualize inter-cluster behavior, rank clusters, and give a scalar index of the the clustering stability. In a large test on synthetic data, our method matches or outperforms other leading methods at predicting the correct number of clusters. We also present a theoretical analysis of our approach, which suggests that it is useful for high dimensional data.
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Fraher, Patrick M. A. "Environmental sensor validation." Thesis, University of Oxford, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.308651.

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Govereau, Paul. "Denotational Translation Validation." Thesis, Harvard University, 2011. http://dissertations.umi.com/gsas.harvard:10045.

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In this dissertation we present a simple and scalable system for validating the correctness of low-level program transformations. Proving that program transformations are correct is crucial to the development of security critical software tools. We achieve a simple and scalable design by compiling sequential low-level programs to synchronous data-flow programs. Theses data-flow programs are a denotation of the original programs, representing all of the relevant aspects of the program semantics. We then check that the two denotations are equivalent, which implies that the program transformation is semantics preserving. Our denotations are computed by means of symbolic analysis. In order to achieve our design, we have extended symbolic analysis to arbitrary control-flow graphs. To this end, we have designed an intermediate language called Synchronous Value Graphs (SVG), which is capable of representing our denotations for arbitrary control-flow graphs, we have built an algorithm for computing SVG from normal assembly language, and we have given a formal model of SVG which allows us to simplify and compare denotations. Finally, we report on our experiments with LLVM M.D., a prototype denotational translation validator for the LLVM optimization framework.
Engineering and Applied Sciences
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Rizk, Raya. "Big Data Validation." Thesis, Uppsala universitet, Informationssystem, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-353850.

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With the explosion in usage of big data, stakes are high for companies to develop workflows that translate the data into business value. Those data transformations are continuously updated and refined in order to meet the evolving business needs, and it is imperative to ensure that a new version of a workflow still produces the correct output. This study focuses on the validation of big data in a real-world scenario, and implements a validation tool that compares two databases that hold the results produced by different versions of a workflow in order to detect and prevent potential unwanted alterations, with row-based and column-based statistics being used to validate the two versions. The tool was shown to provide accurate results in test scenarios, providing leverage to companies that need to validate the outputs of the workflows. In addition, by automating this process, the risk of human error is eliminated, and it has the added benefit of improved speed compared to the more labour-intensive manual alternative. All this allows for a more agile way of performing updates on the data transformation workflows by improving on the turnaround time of the validation process.
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Engel, Isabelle. "Validation des autoclaves." Paris 5, 1991. http://www.theses.fr/1991PA05P071.

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Beaudin, Guy. "Croyance partagée en l'efficacité groupale, validation prédictive et validation de construit." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp03/NQ26636.pdf.

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Elder, Samuel Scott. "Reliable validation : new perspectives on adaptive data analysis and cross-validation." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/120660.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Mathematics, 2018.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 107-109).
Validation refers to the challenge of assessing how well a learning algorithm performs after it has been trained on a given data set. It forms an important step in machine learning, as such assessments are then used to compare and choose between algorithms and provide reasonable approximations of their accuracy. In this thesis, we provide new approaches for addressing two common problems with validation. In the first half, we assume a simple validation framework, the holdout set, and address an important question of how many algorithms can be accurately assessed using the same holdout set, in the particular case where these algorithms are chosen adaptively. We do so by first critiquing the initial approaches to building a theory of adaptivity, then offering an alternative approach and preliminary results within this approach, all geared towards characterizing the inherent challenge of adaptivity. In the second half, we address the validation framework itself. Most common practice does not just use a single holdout set, but averages results from several, a family of techniques known as cross-validation. In this work, we offer several new cross-validation techniques with the common theme of utilizing training sets of varying sizes. This culminates in hierarchical cross-validation, a meta-technique for using cross-validation to choose the best cross-validation method.
by Samuel Scott Elder.
Ph. D.
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Tohme, Tony. "The Bayesian validation metric : a framework for probabilistic model calibration and validation." Thesis, Massachusetts Institute of Technology, 2020. https://hdl.handle.net/1721.1/126919.

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Thesis: S.M., Massachusetts Institute of Technology, Computation for Design and Optimization Program, May, 2020
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 109-114).
In model development, model calibration and validation play complementary roles toward learning reliable models. In this thesis, we propose and develop the "Bayesian Validation Metric" (BVM) as a general model validation and testing tool. We show that the BVM can represent all the standard validation metrics - square error, reliability, probability of agreement, frequentist, area, probability density comparison, statistical hypothesis testing, and Bayesian model testing - as special cases while improving, generalizing and further quantifying their uncertainties. In addition, the BVM assists users and analysts in designing and selecting their models by allowing them to specify their own validation conditions and requirements. Further, we expand the BVM framework to a general calibration and validation framework by inverting the validation mathematics into a method for generalized Bayesian regression and model learning. We perform Bayesian regression based on a user's definition of model-data agreement. This allows for model selection on any type of data distribution, unlike Bayesian and standard regression techniques, that "fail" in some cases. We show that our tool is capable of representing and combining Bayesian regression, standard regression, and likelihood-based calibration techniques in a single framework while being able to generalize aspects of these methods. This tool also offers new insights into the interpretation of the predictive envelopes in Bayesian regression, standard regression, and likelihood-based methods while giving the analyst more control over these envelopes.
by Tony Tohme.
S.M.
S.M. Massachusetts Institute of Technology, Computation for Design and Optimization Program
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Wang, Nan. "Validating relationships between Performance Shaping Factors within a Science-Based HRA validation framework." The Ohio State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=osu1398900568.

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Books on the topic "Validation"

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Seitz, Harald, and Sarah Schumacher, eds. Biomarker Validation. Weinheim, Germany: Wiley-VCH Verlag GmbH & Co. KGaA, 2015. http://dx.doi.org/10.1002/9783527680658.

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Albrecht, R., G. Alefeld, and H. J. Stetter, eds. Validation Numerics. Vienna: Springer Vienna, 1993. http://dx.doi.org/10.1007/978-3-7091-6918-6.

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J, Thomas P., Richards R. J, and Institute of Measurement and Control., eds. Model validation. London: Institute of Measurement and Control, 1986.

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Center, Langley Research, ed. Design for validation: An approach to systems validation. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1989.

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Thaller, Georg Erwin. Verifikation und Validation. Wiesbaden: Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-86384-3.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. System-Level Validation. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-1359-2.

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Beisbart, Claus, and Nicole J. Saam, eds. Computer Simulation Validation. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-70766-2.

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Swander, Carla. FrontLine validation report. Seattle, WA (4939 NE 65th Ave., Seattle 98115): Ergometrics and Applied Personnel Research, 1995.

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1942-, Berry Ira R., and Nash Robert A. 1930-, eds. Pharmaceutical process validation. 2nd ed. New York: Marcel Dekker, 1993.

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Hadyn, Ellis, and Macrae Neil, eds. Validation in psychology. New Brunswick, N.J: Transaction Publishers, 2001.

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Book chapters on the topic "Validation"

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Roelfsema, Chris M., and Stuart R. Phinn. "Validation." In Coral Reef Remote Sensing, 375–401. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-90-481-9292-2_14.

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Grant, Patrick. "Validation." In Literature and Personal Values, 53–98. London: Palgrave Macmillan UK, 1992. http://dx.doi.org/10.1007/978-1-349-22116-5_3.

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Roos Launchbury, David. "Validation." In Unsteady Turbulent Flow Modelling and Applications, 23–58. Wiesbaden: Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-11912-6_5.

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Toennies, Klaus D. "Validation." In Guide to Medical Image Analysis, 529–62. London: Springer London, 2017. http://dx.doi.org/10.1007/978-1-4471-7320-5_13.

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Wehrens, Ron. "Validation." In Chemometrics with R, 175–204. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-17841-2_9.

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Sikos, Leslie F. "Validation." In Web Standards, 445–70. Berkeley, CA: Apress, 2014. http://dx.doi.org/10.1007/978-1-4842-0883-0_14.

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Watson, Brent. "Validation." In Stripes by Example, 63–70. Berkeley, CA: Apress, 2015. http://dx.doi.org/10.1007/978-1-4842-0980-6_9.

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Nahler, Gerhard. "validation." In Dictionary of Pharmaceutical Medicine, 188. Vienna: Springer Vienna, 2009. http://dx.doi.org/10.1007/978-3-211-89836-9_1439.

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Hall, Gary McLean. "Validation." In Pro WPF and Silverlight MVVM, 129–44. Berkeley, CA: Apress, 2010. http://dx.doi.org/10.1007/978-1-4302-3163-9_6.

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Wehrens, Ron. "Validation." In Use R!, 189–219. Berlin, Heidelberg: Springer Berlin Heidelberg, 2020. http://dx.doi.org/10.1007/978-3-662-62027-4_9.

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Conference papers on the topic "Validation"

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Maiden, N. "CREWS validation frames: validating systems requirements." In IEE Colloquium on Understanding Patterns and their Application to Systems Engineering. IEE, 1998. http://dx.doi.org/10.1049/ic:19980542.

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Banks, Jerry, Jorge Haddock, Kenneth N. McKay, Nelson Pacheco, and Jeff Rothenberg. "Validation." In the 20th conference, edited by Richard C. Nance. New York, New York, USA: ACM Press, 1988. http://dx.doi.org/10.1145/318123.318224.

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Weusten, Marnix C. M. "Validation." In the fourth international conference. New York, New York, USA: ACM Press, 1993. http://dx.doi.org/10.1145/158976.158987.

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Pedersen, Kjartan, Jan Emblemsvåg, Reid Bailey, Janet K. Allen, and Farrokh Mistree. "Validating Design Methods and Research: The Validation Square." In ASME 2000 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/detc2000/dtm-14579.

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Abstract Validation of engineering research is typically anchored in the scientific inquiry tradition that is based primarily on logical induction and / or deduction. Since much engineering research is based on mathematical modeling, this kind of validation has worked — and still works — very well. There are, however, other areas of engineering research that rely on subjective statements as well as mathematical modeling, which makes this type of validation problematic. One such area is that of design methods within the field of engineering design. In this paper, we explore the question of how one validates design research in general, and design methods in particular. Being anchored in the scientific inquiry tradition, research validation is strongly tied to a fundamental problem addressed in epistemology, namely, what is scientific knowledge and how is new knowledge confirmed? Thus, we first look to epistemology for answers to why an approach solely based on ‘formal, rigorous and quantifiable’ validation constitutes a problem, and for an augmented approach to research validation. We then propose the ‘Validation Square’ which we validate by testing its internal consistency based on logic in addition to testing its external relevance based on its usefulness with respect to a purpose. We recognize that no one has the complete answer to the question we pose. To help us converge on an answer to these questions we “think aloud” and invite you to join us in doing the same. It is our hope that in so doing we, the members of this design research community, will all be the richer for it.
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Shen, Zhengguang, and Qi Wang. "Data validation and confidence of self-validating multifunctional sensor." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411058.

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Geneves, Pierre, and Nabil Layaida. "XML validation." In the 22nd International Conference. New York, New York, USA: ACM Press, 2013. http://dx.doi.org/10.1145/2487788.2487900.

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Grandin, Robert, and Tim Gray. "UTSim2 validation." In 43RD ANNUAL REVIEW OF PROGRESS IN QUANTITATIVE NONDESTRUCTIVE EVALUATION, VOLUME 36. Author(s), 2017. http://dx.doi.org/10.1063/1.4974731.

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Chen, Yinsheng, Jingli Yang, and Shouda Jiang. "Data validation and dynamic uncertainty estimation of self-validating sensor." In 2015 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). IEEE, 2015. http://dx.doi.org/10.1109/i2mtc.2015.7151302.

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Ellis, Ruel, Gerardo Fernandez-Lopez, and Gerard Pounder. "VALIDATION OF A SIMULATED ENVIRONMENT DEVELOPED FOR VALIDATING CFS AUTONOM." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/ebsy1245.

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This paper analyses results from experiments performed using a previously-described, simulated environment that was developed for validation of Cognitive Function Synthesis, or CFS, Autonomy. Navigation performance of the Pioneer robot platform used the following metrics: Average Cycle Time per simulation run; Average Wall Contact per cycle; and Average Shock Treatment Activation per simulation run. Two ultrasound, or US, configurations were used while the robot navigated in either the ‘preconfigured-reflexes only’ mode or the ‘Braitenberg Obstacle Avoidance’ mode. Results from the “16 sensor” US configuration was generally found to be significantly different from that of the “8 sensor” configuration, independently of obstacle avoidance considerations. Robot performance, when subject to the Braitenberg Obstacle Avoidance algorithm, was also found to be significantly different from ‘preconfigured-reflexes only’ performance, regardless of US configuration. The difference in Shock Treatment and the Average Wall Contact, observed between the “16 sensor” US setting and the “8 sensor” configuration for the ‘Braitenberg Obstacle Avoidance’, are likely to be due to the coefficient values adopted for the rear US sensors together with robot position at experiment start. The use of this environment to enable statistical analysis of results, to determine significant difference in obstacle avoidance performance, validates its usefulness as a tool for CFS Autonomy validation.
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"IPS Technology Validation." In 2019 Integrated Communications, Navigation and Surveillance Conference (ICNS). IEEE, 2019. http://dx.doi.org/10.1109/icnsurv.2019.8735183.

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Reports on the topic "Validation"

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Stringer, Thomas A. Validation of Survivability Validation Protocols. Fort Belvoir, VA: Defense Technical Information Center, May 1993. http://dx.doi.org/10.21236/ada264402.

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Weber, Paula D., David Keith Rudeen, and David L. Lord. SANSMIC Validation. Office of Scientific and Technical Information (OSTI), August 2014. http://dx.doi.org/10.2172/1150848.

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Matejka, L. A. Jr. Quality data validation: Comprehensive approach to environmental data validation. Office of Scientific and Technical Information (OSTI), October 1993. http://dx.doi.org/10.2172/10185693.

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J. R. Belt. Validation of HPPCALC. Office of Scientific and Technical Information (OSTI), October 2006. http://dx.doi.org/10.2172/911913.

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Conlin, Jeremy Lloyd, Steven J. Gardiner, and Donald K. Parsons. Validation of MENDF71x. Office of Scientific and Technical Information (OSTI), October 2013. http://dx.doi.org/10.2172/1098310.

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Klingaman, Randall R., and William B. Carlton. EINSTein Model Validation. Fort Belvoir, VA: Defense Technical Information Center, August 2002. http://dx.doi.org/10.21236/ada405462.

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Lewis, John E., Christine M. English, Joshua C. Gesick, and Saikrishna Mukkamala. Validation Process Methods. Office of Scientific and Technical Information (OSTI), January 2018. http://dx.doi.org/10.2172/1416523.

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Mayrhofer, A., and B. Hoeneisen. ENUM Validation Architecture. RFC Editor, November 2006. http://dx.doi.org/10.17487/rfc4725.

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Cuvillier, Julien, and K. C. Morris. XML validation website :. Gaithersburg, MD: National Institute of Standards and Technology, 2011. http://dx.doi.org/10.6028/nist.ir.7829.

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Azuola, Francisco, Norman I. Badler, Pei-Hwa Ho, Suejung Huh, and Evangelos Kokkevis. Jack Validation Study. Fort Belvoir, VA: Defense Technical Information Center, October 1996. http://dx.doi.org/10.21236/ada330143.

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