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Relevant bibliographies by topics / System analysis and design

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Academic literature on the topic 'System analysis and design'

Author: Grafiati

Published: 4 June 2021

Last updated: 12 June 2025

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Journal articles on the topic "System analysis and design"

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Hameed, Md, B. Praveen Kumar, and B. Rohit B. Surya Sai G. Sai Kiran. "Design and Analysis of Pedal Box with Braking System." International Journal of Trend in Scientific Research and Development Volume-3, Issue-3 (2019): 1446–49. http://dx.doi.org/10.31142/ijtsrd23413.

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Sahoo, Deepak Ranjan. "Design and Analysis of Electric Vehicle with Battery System." Revista Gestão Inovação e Tecnologias 11, no. 3 (2021): 136–45. http://dx.doi.org/10.47059/revistageintec.v11i3.1922.

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SUN, Yuantao, and Duan LI. "59427 Dynamic Analysis and Design Method Study on the Combined-boom System of Portal Crane(Multibody System Analysis)." Proceedings of the Asian Conference on Multibody Dynamics 2010.5 (2010): _59427–1_—_59427–5_. http://dx.doi.org/10.1299/jsmeacmd.2010.5._59427-1_.

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Mhereeg, Mohamed R., and Asma G. Tawil. "Analysis and Design of a Filestream Based English Language Learning System." Journal of Computers 10, no. 4 (2015): 268–83. http://dx.doi.org/10.17706/jcp.10.4.268-283.

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Gujja, Musa Mohammed, and Umar Abubakar Wakta. "Design and Analysis of Automatic Car Park System with Capacity Control." International Journal of Engineering Research 4, no. 8 (2015): 404–8. http://dx.doi.org/10.17950/ijer/v4s8/801.

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Pant, Sushil, Pankaj Kumar, and Ranjan Kishor. "Design and Analysis of Air Intake System for Single Cylinder Engine." International Journal of Trend in Scientific Research and Development Volume-2, Issue-2 (2018): 357–79. http://dx.doi.org/10.31142/ijtsrd8388.

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Wasson, Charles S., and Robert D. Jones. "System Analysis, Design, and Development." INSIGHT 11, no. 1 (2008): 50. http://dx.doi.org/10.1002/inst.200811150.

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Trim, R. M. "Radar System Design and Analysis." Electronics and Power 31, no. 5 (1985): 399. http://dx.doi.org/10.1049/ep.1985.0241.

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Andrews, Derek. "System Analysis & Design Methods." Data Processing 28, no. 6 (1986): 325. http://dx.doi.org/10.1016/0011-684x(86)90236-4.

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N Bhute, Avinash, and Meshram B B. "System Analysis and Design for Multimedia Retrieval Systems." International journal of Multimedia & Its Applications 5, no. 6 (2013): 25–44. http://dx.doi.org/10.5121/ijma.2013.5603.

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Dissertations / Theses on the topic "System analysis and design"

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Eriksson, Daniel. "Diagnosability analysis and FDI system design for uncertain systems." Licentiate thesis, Linköpings universitet, Fordonssystem, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-89947.

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Our society depends on advanced and complex technical systems and machines, for example, cars for transportation, industrial robots in production lines, satellites for communication, and power plants for energy production. Consequences of a fault in such a system can be severe and result in human casualties, environmentally harmful emissions, high repair costs, or economical losses caused by unexpected stops in production lines. Thus, a diagnosis system is important, and in some applications also required by legislations, to monitor the system health in order to take appropriate preventive actions when a fault occurs. Important properties of diagnosis systems are their capability of detecting and identifying faults, i.e., their fault detectability and isolability performance. This thesis deals with quantitative analysis of fault detectability and isolability performance when taking model uncertainties and measurement noise into consideration. The goal is to analyze diagnosability performance given a mathematical model of the system to be monitored before a diagnosis system is developed. A measure of fault diagnosability performance, called distinguishability, is proposed based on the Kullback-Leibler divergence. For linear descriptor models with Gaussian noise, distinguishability gives an upper limit for the fault to noise ratio of any linear residual generator. Distinguishability is used to analyze fault detectability and isolability performance of a non-linear mean value engine model of gas flows in a heavy duty diesel engine by linearizing the model around different operating points. It is also shown how distinguishability is used for determine sensor placement, i.e, where sensors should be placed in a system to achieve a required fault diagnosability performance. The sensor placement problem is formulated as an optimization problem, where minimum required diagnosability performance is used as a constraint. Results show that the required diagnosability performance greatly affects which sensors to use, which is not captured if not model uncertainties and measurement noise are taken into consideration. Another problem considered here is the on-line sequential test selection problem. Distinguishability is used to quantify the performance of the different test quantities. The set of test quantities is changed on-line, depending on the output of the diagnosis system. Instead of using all test quantities the whole time, changing the set of active test quantities can be used to maintain a required diagnosability performance while reducing the computational cost of the diagnosis system. Results show that the number of used test quantities can be greatly reduced while maintaining a good fault isolability performance. A quantitative diagnosability analysis has been used during the design of an engine misfire detection algorithm based on the estimated torque at the flywheel. Decisions during the development of the misfire detection algorithm are motivated using quantitative analysis of the misfire detectability performance. Related to the misfire detection problem, a flywheel angular velocity model for misfire simulation is presented. An evaluation of the misfire detection algorithm show results of good detection performance as well as low false alarm rate.

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Gemino, Andrew C. "Empirical comparisons of system analysis modeling techniques." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape7/PQDD_0015/NQ46346.pdf.

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Uddin, Amad. "Development of an integrated interface modelling methodology to support system architecture analysis." Thesis, University of Bradford, 2016. http://hdl.handle.net/10454/15905.

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This thesis presents the development and validation of a novel interface modelling methodology integrated with a system architectural analysis framework that emphasises the need to manage the integrity of deriving and allocating requirements across multiple levels of abstraction in a structured manner. The state of the art review in this research shows that there is no shared or complete interface definition model that could integrate diverse interaction viewpoints for defining system requirements with complete information. Furthermore, while existing system modelling approaches define system architecture with functions and their allocation to subsystems to meet system requirements, they do not robustly address the importance of considering well-defined interfaces in an integrated manner at each level of systems hierarchy. This results in decomposition and integration issues across the multiple levels of systems hierarchy. Therefore, this thesis develops and validates following: -Interface Analysis Template as a systematic tool that integrates diverse interaction viewpoints for modelling system interfaces with intensive information for deriving requirements. -Coupling Matrix as an architecture analysis framework that not only allocates functions to subsystems to meet requirements but also promotes consistent consideration of well-defined interfaces at each level of design hierarchy. Insights from the validation of developed approach with engineering case studies within an automotive OEM are discussed, reflecting on the effectiveness, efficiency and usability of the methods.

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Gregory, Frank Hutson. "A logical analysis of soft systems modelling : implications for information system design and knowledge based system design." Thesis, University of Warwick, 1993. http://wrap.warwick.ac.uk/2888/.

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The thesis undertakes an analysis of the modelling methods used in the Soft Systems Methodology (SSM) developed by Peter Checkland and Brian Wilson. The analysis is undertaken using formal logic and work drawn from modern Anglo-American analytical philosophy especially work in the area of philosophical logic, the theory of meaning, epistemology and the philosophy of science. The ability of SSM models to represent causation is found to be deficient and improved modelling techniques suitable for cause and effect analysis are developed. The notional status of SSM models is explained in terms of Wittgenstein's language game theory. Modal predicate logic is used to solve the problem of mapping notional models on to the real world. The thesis presents a method for extending SSM modelling in to a system for the design of a knowledge based system. This six stage method comprises: systems analysis, using SSM models; language creation, using logico-linguistic models; knowledge elicitation, using empirical models; knowledge representation, using modal predicate logic; codification, using Prolog; and verification using a type of non-monotonic logic. The resulting system is constructed in such a way that built in inductive hypotheses can be falsified, as in Karl Popper's philosophy of science, by particular facts. As the system can learn what is false it has some artificial intelligence capability. A variant of the method can be used for the design of other types of information system such as a relational database.

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Moolman, G. Chris. "A relational database management systems approach to system design /." This resource online, 1992. http://scholar.lib.vt.edu/theses/available/etd-07102009-040421/.

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Terblanche, Riaan. "Requirements for efficient commercial systems analysis and design." Thesis, Cape Technikon, 1996. http://hdl.handle.net/20.500.11838/1357.

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Thesis (MTech(Information Technology)--Cape Technikon, Cape Town, 1996<br>Systems Analysis and Design (also known as Systems Development) is the systematic process of problem identification, problem definition, analysis of the causes of the problem, the design of alternative solutions to the problem, and the eventual implementation of the selected solution as a computer system (if possible). During this systems development process there are a quite a large number of principles and approaches that need to be considered. It is also required from the systems analyst to have certain skills and to know how to apply a number of tools and techniques. The purpose of this research is to determine which approaches, principles, skills, tools and techniques are required by the industry for the development of commercial computer systems so that_prospective systems analysts can be properly trained in those aspects. This means that the course content of training institutions should be updated accordingly. The aspects that form part of the course offered by the training institution where the researcher works, are discussed and identified out of the literature. The course content is compared with what is required by the industry by means of an empirical research consisting of a questionnaire and frequency and regression analysis. The results from the research indicate that the following aspects of systems development must be emphasized: 1. Phases of systems development " Implementation " Analysis " Planning " Design 2. Important tools and techniques " Data modelling " Process modelling " Presentations " Input and output design " Observation (for fact-finding) " Cross Reference between the data and process model 3. Skills " Interpersonal relations " Third generation programming languages " . Basic understanding of CASE " Working knowledge of CASE

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He, Zhijun. "System And Algorithm Design For Varve Image Analysis System." Diss., The University of Arizona, 2007. http://hdl.handle.net/10150/196015.

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This dissertation describes the design and implementation of a computer vision based varve image analysis system. The primary issues covered are software engineering design, varve image calibrations, varve image enhancement, varve Dynamic Spatial Warping (DSW) profile generation, varve core image registration, varve identification, boundary identification and varve thickness measurement. A varve DSW matching algorithm is described to generate DSW profile and register two core images. Wavelet Multiple Resolution Analysis (MRA) is also used to do the core image registrations. By allowing an analyst to concentrate on other research work while the VARVES software analyzes a sample, much of the tedious varve analysis work is reduced, and potentially increasing the productivity. Additionally, by using new computer vision techniques, VARVES system is able to do some varve analysis which was impossible handled manually.

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Wang, Chenjie. "The design exploration method for adaptive design systems." Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/28084.

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Thesis (M. S.)--Mechanical Engineering, Georgia Institute of Technology, 2009.<br>Committee Chair: Janet K. Allen; Committee Member: Benjamin Klein; Committee Member: Farrokh Mistree; Committee Member: Seung-Kyum Choi.

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Thomas, Sabin M. (Sabin Mammen). "A system analysis of improvements in machine learning." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/100386.

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Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, February 2015.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 50-51).<br>Machine learning algorithms used for natural language processing (NLP) currently take too long to complete their learning function. This slow learning performance tends to make the model ineffective for an increasing requirement for real time applications such as voice transcription, language translation, text summarization topic extraction and sentiment analysis. Moreover, current implementations are run in an offline batch-mode operation and are unfit for real time needs. Newer machine learning algorithms are being designed that make better use of sampling and distributed methods to speed up the learning performance. In my thesis, I identify unmet market opportunities where machine learning is not employed in an optimum fashion. I will provide system level suggestions and analyses that could improve the performance, accuracy and relevance.<br>by Sabin M. Thomas.<br>S.M. in Engineering and Management

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Moolman, George Christiaan. "A relational database management systems approach to system design." Thesis, Virginia Tech, 1992. http://hdl.handle.net/10919/43628.

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Systems are developed to fulfill certain requirements. Several system design configurations usually can fulfill the technical requirements, but at different equivalent life-cycle costs. The problem is how to manipulate and evaluate different system configurations so that the required system effectiveness can be achieved at a minimum equivalent cost. It is also important to have a good definition of all the major consequences of each design configuration. For each alternative configuration considered, it is useful to know the number of units to deploy, the inventory and other logistic requirements, as well as the sensitivity of the system to changes in input variable values. An intelligent relational database management system is defined to solve the problem described. Table structures are defined to maintain the required data elements and algorithms are constructed to manipulate the data to provide the necessary information. The methodology is as follows: Customer requirements are analyzed in functional terms. Feasible design alternatives are considered and defined as system design configurations. The reliability characteristics of each system configuration are determined, initially from a system-level allocation, and later determined from test and evaluation data. A maintenance analysis is conducted to determine the inventory requirements (using reliability data) and the other logistic requirements for each design configuration. A vector of effectiveness measures can be developed for each customer, depending on objectives, constraints, and risks. These effectiveness measures, consisting of a combination of performance and cost measures, are used to aid in objectively deciding which alternative is preferred. Relationships are defined between the user requirements, the reliability and maintainability of the system, the number of units deployed, the inventory level, and other logistic characteristics of the system. A heuristic procedure is developed to interactively manipulate these parameters to obtain a good solution to the problem with technical performance and cost measures as criteria. Although it is not guaranteed that the optimal solution will be found, a feasible solution close to the optimal will be found. Eventually the user will have, at any time, the ability to change the value of any parameter modeled. The impact on the total system will subsequently be made visible.<br>Master of Science

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Books on the topic "System analysis and design"

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J, Rosenblatt Harry, ed. Systems analysis and design. 8th ed. Course Technology, Cengage Learning, 2011.

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Myrna, Silver, ed. Systems analysis and design. Addison-Wesley Pub. Co., 1989.

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E, Kendall Kenneth. Systems analysis and design. 8th ed. Pearson Prentice Hall, 2011.

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Edwards, Perry. Systems analysis & design. Mitchell McGraw-Hill, 1993.

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1952-, Kendall Julie E., ed. Systems analysis and design. 6th ed. Pearson/Prentice Hall, 2005.

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1952-, Kendall Julie E., ed. Systems analysis and design. 5th ed. Prentice Hall, 2001.

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E, Kendall Kenneth. Systems analysis and design. Prentice Hall, 1988.

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1952-, Kendall Julie E., ed. Systems analysis and design. 2nd ed. Prentice Hall, 1992.

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1952-, Kendall Julie E., ed. Systems analysis and design. 7th ed. Pearson/Prentice Hall, 2008.

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E, Kendall Kenneth. Systems analysis and design. 8th ed. Pearson Prentice Hall, 2010.

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Book chapters on the topic "System analysis and design"

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Crawford, Jack. "Integrated Design Analysis." In Components of System Safety. Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0173-4_10.

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Dixon, Jack. "System Safety Hazard Analysis." In Design for Safety. John Wiley & Sons, Ltd, 2017. http://dx.doi.org/10.1002/9781118974339.ch7.

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Ahuja, Anil. "Building System Microeconomic Analysis." In Integrated M/E Design. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4757-5514-5_20.

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Graupner, A., W. Schwarz, K. Lemke, S. Getzlaff, and R. Schüffny. "Statistical Analysis of Analogue Structures." In System Design Automation. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6666-0_14.

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Zhang, David, Hongzhi Zhang, and Bob Zhang. "Tongue Images Acquisition System Design." In Tongue Image Analysis. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-2167-1_2.

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Najim, Mohamed, and Eric Grivel. "Discrete System Analysis." In Digital Filters Design for Signal and Image Processing. ISTE, 2010. http://dx.doi.org/10.1002/9780470612064.ch2.

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Tumer, Irem Y. "System Design and Analysis Methods." In System Health Management. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119994053.ch8.

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Bednara, M., O. Beyer, J. Teich, and R. Wanka. "Hardware Supported Sorting: Design and Tradeoff Analysis." In System Design Automation. Springer US, 2001. http://dx.doi.org/10.1007/978-1-4757-6666-0_9.

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Leveson, Nancy G. "Software Hazard Analysis Techniques." In Software System Design Methods. Springer Berlin Heidelberg, 1986. http://dx.doi.org/10.1007/978-3-642-82846-1_25.

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Gendarme, Christophe, and Jos van Sas. "System Performance Analysis." In System Level Design Model with Reuse of System IP. Springer US, 2004. http://dx.doi.org/10.1007/0-306-48733-0_6.

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Conference papers on the topic "System analysis and design"

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Mobus, George. "A systems-based architecture/design for the human social system." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.039-046.

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Ashparie, Y. M., O. P. Bashorun, G. J. Koch, G. R. Siegel, and P. T. Stoyanov. "Infrastructure analysis system (IAS)." In s and Information Engineering Design Symposium. IEEE, 2005. http://dx.doi.org/10.1109/sieds.2005.193236.

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Jiang, Z. H., L. H. Shu, and B. Benhabib. "Reliability Analysis of Repairable Systems Subject to System Modifications." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dfm-5728.

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Abstract This paper approaches environmentally conscious design by further developing a reliability model that facilitates design for reuse. Many reliability models are not suitable for describing systems that undergo repairs performed during remanufacture and maintenance because the models do not allow the possibility of system reconfiguration. In this paper, expressions of reliability indices of a model that allows system reconfiguration are developed to enable life-cycle cost estimation for repairable systems. These reliability indices of a population of repairable systems are proven theoretically to reach steady state. The expressions of these indices at steady state are obtained to gain insight into the model behavior, and to facilitate life-cycle cost estimation.

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Yang, Shu-ying, Shen-feng Zhang, Jun Hong, and Pei-lian He. "Design of real-time multi-targets recognition system." In MIPPR 2005 Image Analysis Techniques, edited by Deren Li and Hongchao Ma. SPIE, 2005. http://dx.doi.org/10.1117/12.652317.

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Ströbele, S., P. La Penna, R. Arsenault, et al. "GALACSI system design and analysis." In SPIE Astronomical Telescopes + Instrumentation, edited by Brent L. Ellerbroek, Enrico Marchetti, and Jean-Pierre Véran. SPIE, 2012. http://dx.doi.org/10.1117/12.926110.

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Glaß, Michael, Martin Lukasiewycz, Christian Haubelt, and Jürgen Teich. "Towards scalable system-level reliability analysis." In the 47th Design Automation Conference. ACM Press, 2010. http://dx.doi.org/10.1145/1837274.1837334.

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Reut, Dmitry, and Evgeniia Tishina. "Reversibility problem: the essence being designed designs the designer of digital economy." In System analysis in economics – 2018. Prometheus publishing house, 2018. http://dx.doi.org/10.33278/sae-2018.eng.340-343.

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Fussel, D., and C. Bloebaum. "Optimal system model accuracy for complex design." In 5th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 1994. http://dx.doi.org/10.2514/6.1994-4314.

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Ghosh, Dipankar, John Garcelon, Vladimir Balabanov, Gerhard Venter, and Garret Vanderplaats. "VisualDOC - A flexible design optimization software system." In 8th Symposium on Multidisciplinary Analysis and Optimization. American Institute of Aeronautics and Astronautics, 2000. http://dx.doi.org/10.2514/6.2000-4931.

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Escalera, Elizet, Jonathan Lee, Joel Parsons, and Isaac Rusangiza. "Biofuel production system analysis." In 2008 IEEE Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2008. http://dx.doi.org/10.1109/sieds.2008.4559729.

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Reports on the topic "System analysis and design"

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MICHAEL GHORBANI. CANISTER TRANSFER SYSTEM DESIGN ANALYSIS. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/778812.

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M. Salem. DESIGN PACKAGE 1E SYSTEM SAFETY ANALYSIS. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/862237.

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L.R. Eisler. DESIGN PACKAGE 1D SYSTEM SAFETY ANALYSIS. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/862243.

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Bromborsky, Alan, and Thomas Podlesak. Analysis and Design of Resonant Charging System. Defense Technical Information Center, 1998. http://dx.doi.org/10.21236/ada358727.

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McDonald, Michael James. Design theoretic analysis of three system modeling frameworks. Office of Scientific and Technical Information (OSTI), 2007. http://dx.doi.org/10.2172/908075.

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Jacobson, J., R. Mohammad, K. Cafferty, K. Kenney, E. Searcy, and J. Hansen. Feedstock and Conversion Supply System Design and Analysis. Office of Scientific and Technical Information (OSTI), 2014. http://dx.doi.org/10.2172/1169237.

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Watson, Layne T. Homotopy Methods in Control System Design and Analysis. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada251641.

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Cleveland, K. J. Design analysis supporting 101-SY Water Decon System. Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/273676.

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NEW YORK UNIV NY SCHOOL OF MEDICINE. Passive Aircraft Status System (PASS): Design and Analysis. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada388961.

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Truett, L. F., V. V. Wheeler, J. W. Grubb, J. W. Grubb, and E. Z. Faby. System design and integration analysis for the Integrated Booking System (IBS). Office of Scientific and Technical Information (OSTI), 1995. http://dx.doi.org/10.2172/176795.

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