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Relevant bibliographies by topics / System design/validation

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Academic literature on the topic 'System design/validation'

Author: Grafiati

Published: 4 June 2021

Last updated: 3 February 2022

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Journal articles on the topic "System design/validation"

1

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 (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 obta

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Channumsin, Sittiporn, Seksan Jaturutd, Prakasit Udomthanatheera, et al. "Design and validation of flight dynamics system." Engineering Journal 23, no. 2 (2019): 97–117. http://dx.doi.org/10.4186/ej.2019.23.2.97.

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Chee Ling, Thong, Yusmadi Yah Jusoh, Rusli Abdullah, and Nor Hayati Alwi. "Validation of Curriculum Design Information System Model." Indonesian Journal of Electrical Engineering and Computer Science 12, no. 3 (2018): 1305. http://dx.doi.org/10.11591/ijeecs.v12.i3.pp1305-1311.

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<p>Information system (IS) is important to institution of higher learning (IHL) especially in the domain of curriculum design. Without the support of IS, curriculum design in IHL is time-consuming, error-prone and much effort need to put in by curriculum designers. Although there are numerous IS developed in curriculum design domain for the past few years, there is still lack of specific IS curriculum design model found in IHL. This study aims to propose an IS model which provide guidance during curriculum design process. Model validation phase begin with development of prototype which e

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Sallubier, Tomaž, and Borut Rusjan. "CORRIGENDUM: Computer system validation." Management 26, no. 1 (2021): 1. http://dx.doi.org/10.30924/mjcmi.26.1.1.

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The authors regret that in „Computer system validation: Example of quality management system design and process implementation“ the following co-author was mistakenly missed from the authorship: Tomaž Sallubier, TS4U d.o.o, Kamnik, Slovenia.

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Adegbohun, Feyijimi, Annette von Jouanne, Ben Phillips, Emmanuel Agamloh, and Alex Yokochi. "High Performance Electric Vehicle Powertrain Modeling, Simulation and Validation." Energies 14, no. 5 (2021): 1493. http://dx.doi.org/10.3390/en14051493.

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Accurate electric vehicle (EV) powertrain modeling, simulation and validation is paramount for critical design and control decisions in high performance vehicle designs. Described in this paper is a methodology for the design and development of EV powertrain through modeling, simulation and validation on a real-world vehicle system with detailed analysis of the results. Although simulation of EV powertrains in software simulation environments plays a significant role in the design and development of EVs, validating these models on the real-world vehicle systems plays an equally important role

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Schaumont, P., D. Hwang, Shenglin Yang, and I. Verbauwhede. "Multilevel Design Validation in a Secure Embedded System." IEEE Transactions on Computers 55, no. 11 (2006): 1380–90. http://dx.doi.org/10.1109/tc.2006.184.

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Waters, Richard C. "System validation via constraint modeling." ACM SIGPLAN Notices 26, no. 8 (1991): 27–36. http://dx.doi.org/10.1145/122598.122599.

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Friedlander, Paul, Casey LeBlanc, and George Tchobanoglous. "PERFORMANCE VALIDATION OF UV SYSTEMS: IMPLICATIONS FOR SYSTEM DESIGN AND OPERATION." Proceedings of the Water Environment Federation 2003, no. 9 (2003): 490–96. http://dx.doi.org/10.2175/193864703784639462.

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Joksimovic, D., D. A. Savic, G. A. Walters, D. Bixio, K. Katsoufidou, and S. G. Yiantsios. "Development and validation of system design principles for water reuse systems." Desalination 218, no. 1-3 (2008): 142–53. http://dx.doi.org/10.1016/j.desal.2006.04.091.

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Marzuoli, M., F. Molino, S. Battista, et al. "Validation of ICTERUS, a Knowledge-based Expert System for Jaundice Diagnosis." Methods of Information in Medicine 39, no. 04/05 (2000): 311–18. http://dx.doi.org/10.1055/s-0038-1634398.

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Abstract:The study aimed to describe an example of the assessment and validation of knowledge-based clinical expert systems. The paper focuses on ICTERUS, an expert system for jaundice diagnosis. It describes system design, the methodology applied for upgrading and validating the program, and the most important outcomes of the validation procedure. The clinical validation of the system on a very large European database (Euricterus Project) shows that diagnostic conclusions are reliable in about 70% of eligible cases. This figure appears acceptable for a system which provides decision support o

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Dissertations / Theses on the topic "System design/validation"

1

Chen, Tsorng-Ming. "Design validation of digital systems." Thesis, University of Southampton, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.264452.

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Larson, Bradley Jared. "Mathematical Framework for Early System Design Validation Using Multidisciplinary System Models." BYU ScholarsArchive, 2012. https://scholarsarchive.byu.edu/etd/3000.

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A significant challenge in the design of multidisciplinary systems (e.g., airplanes, robots, cell phones) is to predict the effects of design decisions at the time these decisions are being made early in the design process. These predictions are used to choose among design options and to validate design decisions. System behavioral models, which predict a system's response to stimulus, provide an analytical method for evaluating a system's behavior. Because multidisciplinary systems contain many different types of components that have diverse interactions, system behavioral models are difficul

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Chu, Diyang. "Design Validation of Multi-mode Systems." Diss., The University of Arizona, 2013. http://hdl.handle.net/10150/311576.

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Cyber-Physical Systems(CPS) are a group of systems that are involved with both physical processes and computational processes. The interaction of physical components and computational components makes it difficult to analyze, design and verify this type of systems. The problem becomes more complex when certain input or decision of these systems must be initiated by human. Cyber-Physical Systems with human operator in the loop are called Embedded Human Systems(EHS). To ensure the safety of EHS such as traffic control systems, space shuttle control systems, nuclear power plant control systems an

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Chen, Fei. "Enabling system validation for the many-core supercomputer." Access to citation, abstract and download form provided by ProQuest Information and Learning Company; downloadable PDF file, 208 p, 2009. http://proquest.umi.com/pqdweb?did=1891590561&sid=7&Fmt=2&clientId=8331&RQT=309&VName=PQD.

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Pettit, Alex Z. "Development and Validation of an Instrument to Operationalize Information System Requirements Capabilities." Thesis, University of North Texas, 2014. https://digital.library.unt.edu/ark:/67531/metadc500066/.

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As a discipline, information systems (IS) has struggled with the challenge of alignment of product (primarily software and the infrastructure needed to run it) with the needs of the organization it supports. This has been characterized as the pursuit of alignment of information technology (IT) with the business or organization, which begins with the gathering of the requirements of the organization, which then guide the creation of the IS requirements, which in turn guide the creation of the IT solution itself. This research is primarily focused on developing and validating an instrument to o

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Pickens, Mark Everett Vaidyanathan Vijay Varadarajan. "Design and validation of an automated multiunit composting system." [Denton, Tex.] : University of North Texas, 2009. http://digital.library.unt.edu/ark:/67531/metadc12184.

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Kung, Kevin Su Yau. "Design and validation of a decentralized biomass torrefaction system." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/112509.

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Thesis: Ph. D., Massachusetts Institute of Technology, Department of Biological Engineering, 2017.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 226-238).<br>To date, there has been limited usage of biomass and agricultural residues in rural areas as a form of renewable energy, mainly due to the expensive costs involved in collecting and transporting raw biomass. A decentralized biomass torrefaction system has the potential to upgrade the quality and transportability of distributed biomass residues in situ, thereby creating additional localized economic

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Pickens, Mark Everett. "Design and Validation of an Automated Multiunit Composting System." Thesis, University of North Texas, 2009. https://digital.library.unt.edu/ark:/67531/metadc12184/.

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This thesis covers the design of an automated multiunit composting system (AMUCS) that was constructed to meet the experimental apparatus requirements of the ASTM D5338 standard. The design of the AMUCS is discussed in full detail and validated with two experiments. The first experiment was used to validate the operation of the AMUCS with a 15 day experiment. During this experiment visual observations were made to visually observe degradation. Thermal properties and stability tests were performed to quantify the effects of degradation on the polymer samples, and the carbon metabolized from the

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Flanagan, Genevieve (Genevieve Elise Cregar). "Key challenges to model-based design : distinguishing model confidence from model validation." Thesis, Massachusetts Institute of Technology, 2012. http://hdl.handle.net/1721.1/76492.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2012.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 93-97).<br>Model-based design is becoming more prevalent in industry due to increasing complexities in technology while schedules shorten and budgets tighten. Model-based design is a means to substantiate good design under these circumstances. Despite this, organizations often have a lack of confidence in the use of models to make critical decisions. As a

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Almazán, López José Antonio. "System development & validation process for emerging growing organizations." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/55205.

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Thesis (S.M.)--Massachusetts Institute of Technology, System Design and Management Program, 2009.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 215-218).<br>This thesis has the main purpose of presenting the Development and Validation phase of the product development system from the point of view of an emerging and growing product development organization, denoting the obstacles and challenges presented over the operation path or testing organizations as the evolve with solution alternatives from the industry and academia. Through the study and analysis of

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Books on the topic "System design/validation"

1

Pharmaceutical water: System design, operation, and validation. Interpharm Press, 1999.

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Pharmaceutical water: System design, operation, and validation. Informa Healthcare, 2011.

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Smilowitz, Gary J. Final design, integration and validation of the PANSAT antenna system. Naval Postgraduate School, 1997.

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Kambhampati, Subbarao. A validation structure based theory of plan modification and reuse. Dept. of Computer Science, Stanford University, 1990.

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Santoro, Robert J. Detailed experimental data for CFD code validation. Propulsion Engineering Research Center, College of Engineering, Pennsylvania State University, 1998.

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Leszak, M. Petri-Netz-Methoden und -Werkzeuge: Hilfsmittel zur Entwurfsspezifikation und -validation von Rechensystemen. Springer, 1989.

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Saito, Jim. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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Saito, Jim. Digital-flight-control-system software written in automated-engineering-design language: A user's guide of verification and validation tools. National Aeronautics and Space Administration, Ames Research Center, 1988.

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9

Embedded systems and software validation. Elsevier Morgan Kaufmann, 2009.

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10

Bandy, Howard B. Quantitative trading systems: Practical methods for design, testing, and validation. Blue Owl Press, 2007.

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Book chapters on the topic "System design/validation"

1

Marwedel, Peter. "Evaluation and Validation." In Embedded System Design. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-0257-8_5.

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Chen, Mingsong, Xiaoke Qin, Heon-Mo Koo, and Prabhat Mishra. "Test Generation Using Design and Property Decompositions." In System-Level Validation. Springer New York, 2012. http://dx.doi.org/10.1007/978-1-4614-1359-2_8.

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Lavagno, Luciano, Alberto Sangiovanni-Vincentelli, and Ellen M. Sentovich. "Models of Computation for System Design." In Architecture Design and Validation Methods. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-57199-2_6.

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Wang, Ligang, J. William Atwood, and Anjali Agarwal. "Validation of SIP/H.323 Interworking Using SDL/MSC." In SDL 2003: System Design. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45075-0_20.

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Jaber, Alaa Abdulhady. "Embedded Software Design, System Testing and Validation." In Springer Theses. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44932-6_9.

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Bensalem, Saddek, Marius Bozga, Jacques Combaz, and Ahlem Triki. "Rigorous System Design Flow for Autonomous Systems." In Leveraging Applications of Formal Methods, Verification and Validation. Technologies for Mastering Change. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45234-9_13.

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Marwedel, Peter. "Evaluation and Validation." In Embedded Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-60910-8_5.

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AbstractDuring the design procedure, we have to check repeatedly whether or not the system under design is likely to perform its function and to satisfy all relevant design objectives. This is the purpose of validations and evaluations which must be performed during the design process. This chapter starts with a presentation of techniques for the evaluation of (partial) designs with respect to objectives. In particular, we consider (worst case) execution time, quality of results, thermal behavior, and dependability as objectives. We provide an introduction into fundamental techniques for computing the worst case execution time. Examples of energy models will be presented in order to demonstrate the need for an adjustment of the level of model details to the particular application at hand. Thermal modeling is reduced to the problem of equivalent electrical modeling. With respect to dependability, an introduction to statistical models of reliability as well as an introduction to fault trees are included. As a means for relating results for the different objectives against each other, we introduce the concept of Pareto optimality. This chapter closes with hints regarding validation techniques, including simulation, rapid prototyping, and formal verification.

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Jervan, G., R. Ubar, Z. Peng, and P. Eles. "An Approach to System-level Design for Test." In System-level Test and Validation of Hardware/Software Systems. Springer London, 2005. http://dx.doi.org/10.1007/1-84628-145-8_8.

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Holl, Mario, and Peter F. Pelz. "Towards Robust Sustainable System Design: An Engineering Inspired Approach." In Model Validation and Uncertainty Quantification, Volume 3. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-54858-6_10.

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Müller, Tim M., Andreas Schmitt, Philipp Leise, et al. "Validation of an Optimized Resilient Water Supply System." In Lecture Notes in Mechanical Engineering. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-77256-7_7.

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AbstractComponent failures within water supply systems can lead to significant performance losses. One way to address these losses is the explicit anticipation of failures within the design process. We consider a water supply system for high-rise buildings, where pump failures are the most likely failure scenarios. We explicitly consider these failures within an early design stage which leads to a more resilient system, i.e., a system which is able to operate under a predefined number of arbitrary pump failures. We use a mathematical optimization approach to compute such a resilient design. This is based on a multi-stage model for topology optimization, which can be described by a system of nonlinear inequalities and integrality constraints. Such a model has to be both computationally tractable and to represent the real-world system accurately. We therefore validate the algorithmic solutions using experiments on a scaled test rig for high-rise buildings. The test rig allows for an arbitrary connection of pumps to reproduce scaled versions of booster station designs for high-rise buildings. We experimentally verify the applicability of the presented optimization model and that the proposed resilience properties are also fulfilled in real systems.

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Conference papers on the topic "System design/validation"

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Richards, Matthew G., Adam M. Ross, Daniel E. Hastings, and Donna H. Rhodes. "Empirical Validation of Design Principles for Survivable System Architecture." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4518999.

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BATILL, S. "System design from mission definition to flight validation." In Aerospace Design Conference. American Institute of Aeronautics and Astronautics, 1992. http://dx.doi.org/10.2514/6.1992-1091.

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Peter Vanbekbergen. "A Design and Validation System for Asynchronous Circuits." In 32nd Design Automation Conference. ACM, 1995. http://dx.doi.org/10.1109/dac.1995.250059.

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Albers, Albert, Constantin Mandel, Steven Yan, and Matthias Behrendt. "SYSTEM OF SYSTEMS APPROACH FOR THE DESCRIPTION AND CHARACTERIZATION OF VALIDATION ENVIRONMENTS." In 15th International Design Conference. Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK, 2018. http://dx.doi.org/10.21278/idc.2018.0460.

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Mitra, Subhasish. "Design and Validation of Robust Systems." In 2010 International Symposium on Electronic System Design (ISED 2010). IEEE, 2010. http://dx.doi.org/10.1109/ised.2010.11.

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Hermanns, Holger, Kim Guldstrand Larsen, Jean-François Raskin, and Jan Tretmans. "Quantitative system validation in model driven design." In the tenth ACM international conference. ACM Press, 2010. http://dx.doi.org/10.1145/1879021.1879062.

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Desogus, M., M. Sonza Reorda, L. Sterpone, V. A. Avantaggiati, G. Audisio, and M. Sabatini. "Validation and robustness assessment of an automotive system." In 2013 Design and Test Symposium (IDT). IEEE, 2013. http://dx.doi.org/10.1109/idt.2013.6727076.

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Mishra, P., and N. Dutt. "Functional validation of programmable architectures." In Euromicro Symposium on Digital System Design, 2004. DSD 2004. IEEE, 2004. http://dx.doi.org/10.1109/dsd.2004.1333253.

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Mathaikutty, Deepak A., Sumit Ahuja, Ajit Dingankar, and Sandeep Shukla. "Model-driven test generation for system level validation." In 2007 IEEE International High Level Design Validation and Test Workshop. IEEE, 2007. http://dx.doi.org/10.1109/hldvt.2007.4392792.

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Wagner, Ilya, and Valeria Bertacco. "Reversi: Post-silicon validation system for modern microprocessors." In 2008 IEEE International Conference on Computer Design (ICCD). IEEE, 2008. http://dx.doi.org/10.1109/iccd.2008.4751878.

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Reports on the topic "System design/validation"

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Hines, Ken, and Gaetano Borriello. A Geographically Distributed Framework for Embedded System Design and Validation. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada416532.

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Barcelo-Llull, Barbara, Ananda Pascual, Eugenio Cutolo, et al. Design of the Observing System Simulation Experiments with multi-platform in situ data and impact on fine- scale structures. EuroSea, 2020. http://dx.doi.org/10.3289/eurosea_d2.1.

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Guo, Shengmin, Shizhong Yang, and Ebrahim Khosravi. Computational Design and Experimental Validation of New Thermal Barrier Systems. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1133123.

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Guo, Shengmin, Shizhong Yang, and Ebrahim Khosravi. Computational Design and Experimental Validation of New Thermal Barrier Systems. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1133135.

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Guo, Shengmin, Shizhong Yang, and Ebrahim Khosravi. Computational Design and Experimental Validation of New Thermal Barrier Systems. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1133136.

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Guo, Shengmin. Computational design and experimental validation of new thermal barrier systems. Office of Scientific and Technical Information (OSTI), 2015. http://dx.doi.org/10.2172/1214272.

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Sanz, Asier`. Numerical simulation tools for PVT collectors and systems. IEA SHC Task 60, 2020. http://dx.doi.org/10.18777/ieashc-task60-2020-0006.

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The computer-based experimentation covers almost the entire activity chain of the PVT sector. The PVT community carries out very different kind of modelling and simulation labours in order to answer to very diverse needs, such as proof-of-concepts, research, design, sizing, controlling, optimization, validation, marketing, sales, O&M, etc.

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Torres, Marissa, Norberto Nadal-Caraballo, and Alexandros Taflanidis. Rapid tidal reconstruction for the Coastal Hazards System and StormSim part II : Puerto Rico and U.S. Virgin Islands. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/41482.

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This Coastal and Hydraulics Engineering Technical Note (CHETN) describes the continuing efforts towards incorporating rapid tidal time-series reconstruction and prediction capabilities into the Coastal Hazards System (CHS) and the Stochastic Storm Simulation System (StormSim). The CHS (Nadal-Caraballo et al. 2020) is a national effort for the quantification of coastal storm hazards, including a database and web tool (https://chs.erdc.dren.mil) for the deployment of results from the Probabilistic Coastal Hazard Analysis (PCHA) framework. These PCHA products are developed from regional studies s

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Swartz, Scott, Lora Thrun, Gene Arkenberg, and Kellie Chenault. Validation of Novel Planar Cell Design for MW-Scale SOFC Power Systems. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1043822.

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Swartz, Dr Scott L., Dr Lora B. Thrun, Mr Gene B. Arkenberg, and Ms Kellie M. Chenault. Final Report, Validation of Novel Planar Cell Design for MW-Scale SOFC Power Systems. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1034120.

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