Academic literature on the topic 'MDO'

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Journal articles on the topic "MDO"

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Silva, Cynthia Siqueira, José Fernando Machado Menten, Ana Beatriz Traldi, Julieta Santarosa, and Patrícia Watanabe Zanin Pereira. "Avaliação de milhos de diferentes densidades para frangos de corte." Revista Brasileira de Zootecnia 40, no. 7 (July 2011): 1554–61. http://dx.doi.org/10.1590/s1516-35982011000700022.

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O trabalho foi realizado com o objetivo de determinar os valores nutricionais de milhos de quatro qualidades, obtidos por meio de estratificação em mesa densimétrica, para frangos de corte em diferentes idades. Os milhos foram designados como: MDA - milho de densidade alta; MDI - milho de densidade intermediária; MDB - milho de densidade baixa; e MDO milho de densidade original, composto de 25% de MDA, 50% de MDI e 25% de MDB. Três ensaios biológicos foram conduzidos utilizando-se o método tradicional de coleta total de excretas para determinação da energia metabolizável aparente corrigida (EMAn). O primeiro ensaio metabólico foi conduzido com pintos Cobb de 14 a 17 dias, o segundo, com pintos de 25 a 28 dias e o terceiro de 38 a 41 dias de idade. Foram realizadas análises químicas para determinação do perfil nutricional, classificação de grãos segundo a densidade e comparação por meio das estimativas de equações de predição do valor energético. Os valores da EMAn dos milhos de diferentes qualidades (MDA, MDI, MDB e MDO) determinados com frangos na fase inicial foram: 3562, 3382, 3198 e 3357 kcal/kg, para a fase de crescimento: 3576, 3555, 3229 e 3416 kcal/kg e, para a fase final 3610, 3554, 3354 e 3585 kcal/kg, respectivamente. Esses valores comprovam as significativas perdas energéticas dos milhos de mais baixa qualidade e a eficiência da mesa densimétrica em estratificar os grãos. A diferença da EMAn entre as idades das aves sugere melhor eficiência de utilização da energia com o avanço da idade. As equações de predição podem ser utilizadas para estimar o valor energético de milhos, tanto por sua classificação como pelas análises bromatológicas. Entretanto, o erro sistemático associado a cada equação de predição pode comprometer a exatidão de seu valor nutricional.
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Park, Jin-Kyu, Jung-Mo Oh, Hyung-Ik Kim, Chang-Hee Lee, and Ki-Hyung Lee. "Combustion Characteristics of MDO and MDO Emulsion in Automotive Diesel Engine." Transactions of the Korean Society of Mechanical Engineers B 36, no. 9 (September 1, 2012): 945–51. http://dx.doi.org/10.3795/ksme-b.2012.36.9.945.

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Su, Hua, Chun-lin Gong, and Liang-xian Gu. "A Universal MDO Framework Based on the Adaptive Discipline Surrogate Model." International Journal of Aerospace Engineering 2018 (November 27, 2018): 1–14. http://dx.doi.org/10.1155/2018/9139267.

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High time-consuming computation has become an obvious characteristic of the modern multidisciplinary design optimization (MDO) solving procedure. To reduce the computing cost and improve solving environment of the traditional MDO solution method, this article introduces a novel universal MDO framework based on the support of adaptive discipline surrogate model with asymptotical correction by discriminative sampling. The MDO solving procedure is decomposed into three parts: framework level, architecture level, and discipline level. Framework level controls the MDO solving procedure and carries out convergence estimation; architecture level executes the MDO solution method with discipline surrogate models; discipline level analyzes discipline models to establish adaptive discipline surrogate models based on a stochastic asymptotical sampling method. The MDO solving procedure is executed as an iterative way included with discipline surrogate model correcting, MDO solving, and discipline analyzing. These are accomplished by the iteration process control at the framework level, the MDO decomposition at the architecture level, and the discipline surrogate model update at the discipline level. The framework executes these three parts separately in a hierarchical and modularized way. The discipline models and disciplinary design point sampling process are all independent; parallel computing could be used to increase computing efficiency in parallel environment. Several MDO benchmarks are tested in this MDO framework. Results show that the number of discipline evaluations in the framework is half or less of the original MDO solution method and is very useful and suitable for the complex high-fidelity MDO problem.
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Speelman, Marijke. "Familie bij het mdo." Pallium 13, no. 2 (March 2011): 26–27. http://dx.doi.org/10.1007/s12479-011-0031-7.

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ĎUroviČ, S. "What are mdo polytypes?" Phase Transitions 43, no. 1-4 (June 1993): 81–87. http://dx.doi.org/10.1080/01411599308207800.

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Humphries, Laura S., Tulsi Roy, Anne Huang, John Collins, Fuad M. Baroody, and Russell R. Reid. "Airway Morphological Changes in Pierre Robin Sequence: A Retrospective Study." Cleft Palate-Craniofacial Journal 57, no. 7 (January 22, 2020): 828–39. http://dx.doi.org/10.1177/1055665619900624.

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Objective: To investigate airway morphology changes in patients with Pierre Robin sequence (PRS) pre–/post–mandibular distraction osteogenesis (MDO) and to compare morphologic changes to age-matched controls. Design: Retrospective case–control study. Setting: Urban, academic, tertiary medical center. Patients, Participants: Fifteen patients with PRS after MDO to relieve upper airway obstruction (UAO) (2008-2018); age-matched controls for post-MDO patients. Interventions: Mandibular distraction osteogenesis, curvilinear internal mandibular distractors. Main Outcome Measures: (1) Physiologic improvement after MDO (apnea–hypopnea index; minimum oxygen saturation); (2) airway size (volume, surface area, length, mean/minimum cross-sectional area), shape (lateral:anterior–posterior ratio, cross-sectional area ratios, uniformity, sphericity), and changes with MDO; and (3) post-MDO airway size, shape versus age-matched controls. Results: Airway size increased after MDO (volume, P = .01; surface area, P = .02; length, P = .01), as did cross-sectional area (mean, P = .02; minimum, P = .02; minimum retropalatal, P = .05, mid-retroglossal, P = .02). Post-MDO PRS airways were larger than controls (volume, P < .01; surface area, P < .01; length, P < .01, cross-sectional area, P = .03). Airway shape remained nonuniform and flat post-MDO; control airways were round. Two syndromic patients required repeat MDO and had subphysiologic post-MDO airway cross-sectional area. Post-MDO PRS patients with supraphysiologic cross-sectional area along the entire airway had no UAO recurrence. Conclusions: In this small, heterogenous patient sample, MDO increases airway size, may preferentially affect the retropalatal airway, and often results in supraphysiologic airway dimensions. These retropalatal changes may be important in relieving severe UAO in patients with PRS. Generalizability of our results is limited by small cohort size and patient heterogeneity.
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Mao, Zhe, Ricardo Battaglino, Jiawei Zhou, Yingqiu Cui, Mayank Shrivastava, Gabriel Tian, Faezeh Sahebdel, and Liang Ye. "The Effect of Timing of Mandibular Distraction Osteogenesis on Weight Velocity in Infants Affected by Severe Robin Sequence." Children 9, no. 3 (February 28, 2022): 319. http://dx.doi.org/10.3390/children9030319.

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Background: Impaired weight gain is prevalent in Robin Sequence (RS) newborns. Although mandibular distraction osteogenesis (MDO) has been proven to improve oral feeding, its impact on postoperative weight gain remains unclear. The purpose of this study is to explore whether MDO can help RS babies reach a normal weight, as well as the effect of MDO timing on weight velocity. Methods: One hundred infants with severe RS and one hundred with normal controls met the inclusion criteria for the study. Included patients underwent MDO. Weights at different timing points were recorded and analyzed and compared to normal controls. Results: After the distractor removal weights of patients undergoing MDO at <1 month and 1–2 months were close to the normal control (6.81 ± 0.93 kg versus 7.18 ± 0.61 kg, p = 0.012, and 6.82 ± 0.98 kg versus 7.37 ± 0.75 kg, p = 0.033, respectively), the weights of patients undergoing MDO at 2–3 months and 3–4 months still lagged behind (7.56 ± 1.29 kg versus 8.20 ± 0.61 kg, p = 0.000206 and 7.36 ± 1.05 kg versus 8.25 ± 0.77 kg, p = 0.004, respectively). The weights of all RS infants undergoing MDO showed no significant difference compared to the controls when they aged to 1 year (9.34 ± 0.99 kg versus 9.55 ± 0.45 kg, p = 0.254 for MDO at <1 month; 9.12 ± 0.91 kg versus 9.33 ± 0.46 kg, p = 0.100 for MDO at 1 to 2 months; 9.38 ± 0.29 kg versus 9.83 ± 0.53 kg, p = 0.098 for MDO at 2 to 3 months; and 9.38 ± 0.29 kg versus 9.83 ± 0.53 kg, p = 0.098 for MDO at 3 to 4 months). Conclusion: The MDO procedure helped patients with severe RS to reach a normal weight; and MDO intervention was recommended at an early stage for early weight gain.
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Ching, Jessica A., Justin D. Daggett, Sergio A. Alvarez, Cathy L. Conley, and Ernesto J. Ruas. "A Simple Mandibular Distraction Protocol to Avoid Tracheostomy in Patients with Pierre Robin Sequence." Cleft Palate-Craniofacial Journal 54, no. 2 (March 2017): 210–15. http://dx.doi.org/10.1597/14-211.

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Objective Recent treatment goals for Pierre Robin sequence (PRS) focus on avoiding tracheostomy through modalities such as mandibular distraction osteogenesis (MDO). We primarily evaluated the efficacy of our straightforward MDO treatment protocol for resolution of PRS-associated airway obstruction while secondarily analyzing patient characteristics associated with success or failure of MDO. Design A retrospective chart review before and after treatment. Setting Tertiary institutional center and private practice setting. Patients All patients were diagnosed with PRS and treated with MDO, according to the MDO treatment protocol, by a single surgeon with the same operative technique from 1999 to 2013. A sample size of n = 38 met the inclusion criteria. Data assessed included tracheostomy status (pre-MDO, post-MDO, or none), microlaryngoscopy and bronchoscopy (MLB) findings, multipositional airway study results, clinical resolution of airway obstruction following MDO, and patient characteristics. Main Outcome Measure Resolution of airway obstruction with avoidance of a tracheostomy. Results Prior to referral for MDO, five patients required urgent tracheostomy. Of patients without a pre-MDO tracheostomy (n = 33), two patients required tracheostomy post-MDO, while 94% avoided tracheostomy with clinical resolution of airway obstruction (n = 31). On secondary analysis, anatomic abnormalities diagnosed by MLB were associated with a higher rate of tracheostomy ( P = .037), confirming the utility of preoperative evaluation with MLB; otherwise, no patient characteristics demonstrated significance in patient selection. Follow-up ranged from 6 months to 10 years (mean = 6.45 years, median = 7.61 years). Conclusions Our treatment protocol demonstrates MDO is highly effective for resolving severe airway obstruction related to PRS. Based on secondary analysis, our simplified protocol does not require amendment.
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Pires, Aline Jéssica. "A influência da gramática espanhola na Marcação Diferencial de Objeto no português diacrônico." Cadernos de Linguística 1, no. 2 (November 27, 2020): 01–20. http://dx.doi.org/10.25189/2675-4916.2020.v1.n2.id168.

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A Marcação Diferencial de Objeto (MDO) consiste em marcar o objeto direto com uma preposição. Em português, a MDO ocorre apenas com a preposição dativa A. O presente artigo examina casos de objetos diretos marcados em português diacrônico. Nosso principal objetivo é verificar a hipótese bastante difundida sobre a influência espanhola na ocorrência da MDO em português. Para atingir esse objetivo, analisamos textos portugueses de dois corpora selecionados. Investigamos fatores apontados como desencadeadores da MDO (BOSSONG, 1991): o traço semântico da animacidade, definitude e especificidade. Para confirmar se os casos de MDO encontrados em dados diacrônicos do português foram influenciados pelo espanhol e atestar quando, na história da língua, o fenômeno diminuiu, analisamos dados dos séculos XVI a XIX. Para atestar se a MDO que ocorre no português e no espanhol é a mesma, comparamos dados marcados e não marcados dos séculos XVI e XVII. Os resultados confirmam a hipótese da influência espanhola, embora a distribuição do MDO não seja a mesma no português e no espanhol dos séculos aqui analisados. Em português, os casos de objetos não marcados são mais frequentes que os casos de MDO.
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Su, Yi, Fa-Yin Wang, and Jian-Yu Zhao. "Improved Multidisciplinary Design Optimization Based on Genetic Algorithm and Artificial Neural Networks and Its Application." Journal of Computational and Theoretical Nanoscience 13, no. 10 (October 1, 2016): 6501–8. http://dx.doi.org/10.1166/jctn.2016.5593.

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Multidisciplinary Design Optimization (MDO) is an algorithm widely used in the engineering field currently. However, traditional MDO often leads to the failure of convergence or local optimum problems caused by convergence. In such cases, a multidisciplinary design optimization based on genetic algorithm (GA) and artificial neural networks (ANN) (GA-ANN-MDO) is presented in the paper. Under the thought of parallel distribution of traditional MDO, the real sub-disciplinary model is replaced by a highly precise ANN model dependent on the Latin Hypercube experimental design method in the GA-ANN-MDO, so as to reduce the computational cost and smooth the value noise. The GA optimization system level is applied to decline the possibility of partial solution involved in the optimization. As shown from the optimization results of two classic mathematical examples, GA-ANN-MDO is presented good robustness, which could quickly and effectively converge to the global optimal solution. In addition, a project example was employed finally to verify the feasibility of GA-ANN-MDO in the engineering.
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Dissertations / Theses on the topic "MDO"

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Kloninger, Paul. "MDO-Simulation eines Rutschreifens auf GFK-Wasserrutschen." Universitätsbibliothek Chemnitz, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-206945.

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Die Option Mechanism Dynamics (MDO) von Creo Parametric ist ein Tool aus dem Bereich Starrkörperdynamik. Im Kern des Vortrags steht jedoch die MDO-Funktion 3D-Kontakt, die einzigartig mit elastischen Körpern arbeitet. Im Vortrag wird die Vorgehensweise bei der dynamischen Simulation eines Rutschreifens auf GFK-Wasserrutschen erläutert, abschließend werden Animationsbeispiele präsentiert.
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Gantois, K. "An MDO concept for large civil airliner wings." Thesis, Online version, 1998. http://ethos.bl.uk/OrderDetails.do?did=1&uin=uk.bl.ethos.266980.

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Hiriyannaiah, Santosh. "Enhancement of information management capabilities in MDO framework." Connect to this title online, 2008. http://etd.lib.clemson.edu/documents/1220473735/.

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Dasgupta, Amlan. "Addition of Features to an Existing MDO Model for Containerships." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/33351.

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Traditionally, the â Design Spiralâ is used for the design of ships. The design spiral endorses the concept that the design process is sequential and iterative. Though this procedure was very effective over the years, the current trend of engineering demands that more stress be put on the exploration of optimum design. With the advancement of computing technologies, the onus has shifted from finding better calculation schemes to formulating an economically viable design scheme. One of the objects of the FIRST project funded by MARITECH was to develop a computer tool to give the best ship design using optimization techniques. This was entrusted to the Department of Aerospace and Ocean Engineering at Virginia Polytechnic Institute and State University in Blacksburg, Virginia. A container ship was chosen as the test case. The problem was tackled from an ownerâ s point of view. Hence, the required freight rate was chosen as the objective. To achieve that goal, the team developed a package that consists of three modules: optimization, geometric and a performance evaluation module. Though these modules are essentially independent, the user has control over an overall manager. He can change the initial value of design parameters, set bounds and vary constraint bounds as per his needs. Though he does not know what goes on behind the user interface, he still feels secure with the design process because he has overall control. This sense of security breaks down when he has access to limited variables and constraints. A prototype MDO tool is developed based on Microsoftâ s COM framework using ATL. With this design, the modules can be modified with minimum programming effort. The user interface gives the user flexibility to manipulate relevant parameters that affect the design. A geometric shape manipulation scheme is developed in which the hull form was generated by blending two hull forms. This MDO tool is used to design a container ship with the required freight rate as the objective to be minimized. It is noticed that without a structural constraint, the design tends towards one with maximum length and beam. This led to unreasonably large ratios of B/D and L/D. A B/D constraint is applied to the design to get a better structural design. Results with this constraint enabled have pointed in the direction of adding two other design variables. This constraint increases the depth of the ship. With the increase in depth, the center of gravity of the ship also rises decreasing the GM of the ship. This lowering of GM adversely affects the GM constraint. The number of tiers on deck (NTd) is made a design variable to enable the optimizer to have the flexibility of manipulating the cargo carrying capacity. It was noticed that the ship is unable to have a high NTd because of the violation of the GM constraint. Hence, ballast has also been added as a design variable to reduce the center of gravity of the ship increasing the GM of the ship. This feature enables the optimizer to carry greater cargo on deck improving the objective function. An effort is made to analyze the efficacy of the MDO tool by varying various parameters that affect the design. Technology factors have been introduced which give an insight on effect of key parameters. They also reflect on future design trends. Three evaluation tools: sensitivity analysis, alpha plots and restart option have been incorporated in the design process to gauge the results of optimization. The effect of another structural constraint L/D was also investigated. This constraint tends to bring down the overall length and is inconclusive in its results. Further analysis of this constraint is needed to draw usable conclusions. The linear response surface approximation was eliminated and the original stepwise discontinuous TEU capacity function is employed in the later examples. It was found that the minimum of the required fright rate occurred at the lower limits of length and beam on each TEU capacity platform. A systematic search of TEU plateaus in the vicinity of the primary optimum was necessary to define the secondary optimum
Master of Science
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Chen, Ying. "Formulation of a Multi-Disciplinary Design Optimization of Containerships." Thesis, Virginia Tech, 1999. http://hdl.handle.net/10919/36069.

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To develop a computer tool that will give the best ship design using an optimization technique is one of the objects of the FIRST project. Choosing a containership design as a test case, the Design Optimization Tools (DOT) package is used as the optimization tool. The problem is tackled from the ship owner's point of view. The required freight rate is chosen as the objective function because the most important thing that concerns the ship owner is whether the ship will make a profit or not, and if so, how much profit it can make. DOT, as well as any other numerical optimization tool, only gives an approximation of the optimum design and uses numerical approximation during the optimization. It is very important for the users to formulate carefully the optimization problem so that it will give a stable and reasonable solution. Development of a geometric module and choosing suitable empirical formulas for performance evaluation are also major issues of the project.
Master of Science
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Knill, Duane L. "Implementing Aerodynamic Predictions from Computational Fluid Dynamics in Multidisciplinary Design Optimization of a High-Speed Civil Transport." Diss., Virginia Tech, 1997. http://hdl.handle.net/10919/29530.

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A method to efficiently introduce supersonic drag predictions from computational fluid dynamics (CFD) calculations in a combined aerodynamic-structural optimization of a High-Speed Civil Transport (HSCT) is presented. To achieve this goal, the method must alleviate the large computational burden associated with performing CFD analyses and reduce the numerical noise present in the analyses. This is accomplished through the use of response surface (RS) methodologies, a variation of the variable-complexity modeling (VCM) technique, and coarse grained parallel computing. Variable-complexity modeling allows one to take advantage of the information gained from inexpensive lower fidelity models while maintaining the accuracy of the more expensive high fidelity methods. The utility of the method is demonstrated on HSCT design problems of five, ten, fifteen, and twenty design variables. Motivation for including CFD predictions into the HSCT optimization comes from studies detailing the differences in supersonic aerodynamic predictions from linear theory, Euler, and parabolized Navier-Stokes (PNS) calculations for HSCT configurations. The effects of these differences in integrated forces and distributed loads on the aircraft performance and structural weight are investigated. These studies indicate that CFD drag solutions are required for accurate HSCT performance and weight estimates. Response surface models are also used to provide useful information to the designer with minimal computational effort. Investigations into design trade-offs and sensitivities to certain design variables, available at the cost of evaluating a simple quadratic polynomial, are presented. In addition, a novel and effective approach to visualizing high dimensional, highly constrained design spaces is enabled through the use of RS models. NOTE: An updated copy of this ETD was added in July 2012 after there were patron reports of problems with the original file.
Ph. D.
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Fantini, Paolo. "Effective multiobjective MDO for conceptual design - An aircraft design perspective." Thesis, Cranfield University, 2007. http://hdl.handle.net/1826/2219.

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Once the requirements for a new aircraft have been defined, the Conceptual design phase is launched. During this phase one or more designers have the goal of defining and investigating a number of alternative solutions. Through discussion with industry it has become apparent that optimisation tools are seldom used, even though these could greatly enhance the work of the designers. The objective of the work carried forward has been of identifying, comparing and where necessary improving the most suitable techniques, as well as schemes for their integration, in order to perform effectively Multidisciplinary Design and Optimisation (MDO) in the Conceptual phase of the aircraft design. The techniques that have been investigated include: multi-objective optimisation algorithms, MDO algorithms for treating non-hierarchically decomposable systems and Automatic Differentiation (AD). As a result an algorithm for performing multiobjective MDO has been developed. Given a complete model for a complex non-hierarchically decomposable system and given a number of objectives and constraints, the algorithm is capable of determining a set of well distributed solutions, representative of both local and global Pareto frontiers. A number of test cases have been used for evaluating the alternative methodologies and the proposed algorithm. These include a set of complex algebraic test cases typically used for evaluating global optimisation algorithms and a simplified aircraft conceptual design model, which was provided by industry. The results demonstrate the unique capability of the algorithm of determining well distributed solutions on the global and local Pareto frontiers for global multiobjective continuous nonlinear constrained optimisation problems. The results also show this capability when the algorithm is applied to non-hierarchically decomposable systems, as typically encountered when performing MDO. Further work could extend the approach in order to handle mixed discrete/continuous variables.
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Burgee, Susan L. "A coarse-grained variable-complexity MDO paradigm for HSCT design." Thesis, This resource online, 1995. http://scholar.lib.vt.edu/theses/available/etd-08142009-040544/.

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Stegemann, Patrick. "Untersuchung von Resonanzproblemen am MEYRA E-Rollstuhl 9506 Compact." Universitätsbibliothek Chemnitz, 2011. http://nbn-resolving.de/urn:nbn:de:bsz:ch1-qucosa-68411.

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Der Vortrag zeigt die einzelnen notwendigen Schritte auf, die zur Lösung des Resonanzproblems an der Vorderradaufhängung eines E-Rollstuhls der Firma MEYRA-ORTOPEDIA notwendig waren. Alle Lösungsschritte wurden mit Creo Elements/Pro und seinen Modulen Mechanism Design Option (MDO) und Advanced Mechanica erarbeitet.
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Wemming, Hannes. "Validation and integration of a rubber engine model into an MDO environment." Thesis, Linköpings universitet, Fluid och mekanisk systemteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-61028.

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Multidisciplinary design optimization (MDO) is a technique that has found use in the field of aerospace engineering for aircraft design. It uses optimization to simultaneously solve design problems with several disciplines involved. In order to predict aircraft performance an engine performance simulation model, also called “rubber engine”, is vital. The goal of this project is to validate and integrate a rubber engine model into an MDO environment. A method for computer simulation of gas turbine aero engine performance was created. GasTurb v11, a commercial gas turbine performance simulation software, was selected for doing the simulation models. The method was validated by applying it to five different jet engines of different size, different type and different age. It was shown that the simulation engine model results are close to the engine manufacturer data in terms of SFC and net thrust during cruise, maximum climb (MCL) and take off (MTO) thrust ratings. The cruise, take off and climb SFC was in general predicted within 2% error when compared to engine manufacturer performance data. The take off and climb net thrust was in general predicted with less than 5% error. The integration of the rubber engine model with the MDO framework was started and it was demonstrated that the model can run within the MDO software. Four different jet engine models have been prepared for use within the optimization software. The main conclusion is that GasTurb v11 can be used to make accurate jet engine performance simulation models and that it is possible to incorporate these models into an MDO environment.
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Books on the topic "MDO"

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Mdo gzer mig. [China]: Kruṅ-goʼi Bod kyi śes rig dpe skrun khaṅ, 1991.

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Dkon-mchog-bstan-pa-rab-rgyas. Mdo-smad chos ʼbyuṅ. 2nd ed. Lanzhou: Kan-suʼu mi dmaṅs dpe skrun khaṅ, 1985.

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Dge-bśes, Thub-bstan-dpal-bzaṅ, and Library of Tibetan Works & Archives., eds. Mdo tshan lam sgrig. Dharamsala, H.P: Bod kyi dpe mdzod khaṅ, 2007.

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Mkhan-po, Dam-chos-zla-ba, Koṅ-sprul Blo-gros-mthaʼ-yas 1813-1899, Raṅ-byuṅ-rdo-rje Karma-pa III 1284-1339, Raṅ-byuṅ-rdo-rje Karma-pa III 1284-1339, Koṅ-sprul Blo-gros-mthaʼ-yas 1813-1899, Raṅ-byuṅ-rdo-rje Karma-pa III 1284-1339, Koṅ-sprul Blo-gros-mthaʼ-yas 1813-1899, ʼBaʼ-rom Ti-śri-ras-pa, and Mi-bskyod-rdo-rje Karma-pa VIII 1507-1554, eds. Mdo sṅags mtshams sbyor. Zi-liṅ: Mtsho-sṅon mi rigs dpe skrun khaṅ, 2004.

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Gansu Zang xue yan jiu suo., ed. Mdo-smad źib ʾjug. [Lanchou]: Kan-suʾu mi rigs dpe skrun khaṅ, 2006.

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Grags-pa. Gʼyos khang gi mdo. Chengdu Shi: Si-khron mi rigs Dpe-skrun-khang, 2018.

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Ni-tarthāʼi śes rig dpe skrun khaṅ., ed. Mdo sṅags gźuṅ chen brgyad. Kathmandu: Ni-tarthaʼi śes rig dpe skrun khaṅ, 2005.

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705-762, Śāntarakṣita, and Dpal-brtsegs Bod-yig Dpe-rñiṅ Źib-ʼjugs-khaṅ, eds. Sman blaʼi mdo: Daṅ, Mdo chog phyogs sgrig rin chen sgron me bźugs so. Xining: Kruṅ-goʼi Bod rig pa dpe skrun khaṅ, 2007.

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ʼJigs-byed-skyabs, Blo-bzaṅ-dkon-mchog-dpal-bzaṅ-po Rje-btsun, and Brtson-ʼgrus-rgya-mtsho Dus-ʼkhor-ba, eds. Mdo-smad rtsis don ñuṅ bsdus. Lan-chou: Kan-suʼu mi rigs dpe skrun khaṅ, 2004.

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ʼJigs-med. Mdo-smad lo rgyus chen mo. [Dharamsala]: Bod kyi dpe mdzod khaṅ, 2009.

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Book chapters on the topic "MDO"

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Chen, Hao. "Multidisciplinary Design Optimization (MDO)." In Encyclopedia of Ocean Engineering, 1–7. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-10-6963-5_65-1.

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Arian, Eyal. "MDO — A Mathematical View Point." In Computational Methods for Optimal Design and Control, 27–47. Boston, MA: Birkhäuser Boston, 1998. http://dx.doi.org/10.1007/978-1-4612-1780-0_2.

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Jin, Shenyi, Kwangsik Kim, Karpjoo Jeong, Jaewoo Lee, Jonghwa Kim, Hoyon Hwang, and Hae-Gook Suh. "MEDIC: A MDO-Enabling Distributed Computing Framework." In Fuzzy Systems and Knowledge Discovery, 1092–101. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11539506_135.

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Lee, D. S., K. Srinivas, L. F. Gonzalez, and J. Periaux. "Uncertainty Based MDO of UAS Using HAPMOEA." In Computational Fluid Dynamics 2008, 649–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01273-0_86.

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Garland, Nicolas, Rodolphe Le Riche, Yann Richet, and Nicolas Durrande. "Multi-Fidelity for MDO Using Gaussian Processes." In Springer Optimization and Its Applications, 295–320. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39126-3_8.

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Maurer, Petra. "mDo-mkhar-ba Tshe-ring dbang-rgyal." In Kindlers Literatur Lexikon (KLL), 1. Stuttgart: J.B. Metzler, 2020. http://dx.doi.org/10.1007/978-3-476-05728-0_16832-1.

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Dittrich, Robert, and José M. A. Longo. "Preliminary Design of a Mach 6 Configuration Using MDO." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 407–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14243-7_50.

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Mouha, Nicky. "MD4-MD5." In Encyclopedia of Cryptography and Security, 768–71. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-5906-5_595.

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De Gaspari, Alessandro, Vittorio Cavalieri, and Sergio Ricci. "Use of MDO Techniques for the Design of Morphing Aircraft." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 387–404. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-52429-6_24.

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Brevault, Loïc, Julien Pelamatti, Ali Hebbal, Mathieu Balesdent, El-Ghazali Talbi, and Nouredine Melab. "MDO Related Issues: Multi-Objective and Mixed Continuous/Discrete Optimization." In Springer Optimization and Its Applications, 321–58. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39126-3_9.

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Conference papers on the topic "MDO"

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Gloukhov, Roman, Christophe Tribes, Jean-Yves Trépanier, and Benoit Ozell. "Towards Web Standards-Based MDA and MDO." In 45th AIAA Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2007. http://dx.doi.org/10.2514/6.2007-966.

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Bakker, Craig, Geoff Parks, and Jerome Jarrett. "Geometric Perspectives on MDO and MDO Architectures." In 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2012. http://dx.doi.org/10.2514/6.2012-5554.

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Shi, Renhe, Li Liu, Teng Long, Yufei Wu, and G. Gary Wang. "Multi-Fidelity Modeling and Adaptive Co-Kriging Based Optimization for All-Electric GEO Satellite Systems." In ASME 2018 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/detc2018-85335.

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All-electric GEO satellite systems design is a challenging multidisciplinary design optimization (MDO) problem, which is computation-intensive due to the employment of expensive simulations. In this paper, the all-electric GEO satellite MDO problem with multi-fidelity models is investigated. The MDO problem involving six inter-coupled disciplines is formulated to minimize the total mass of the satellite system subject to a number of engineering constraints. To reduce the computational cost of the multidisciplinary analysis (MDA) process, multi-fidelity transfer dynamics models and finite element analysis (FEA) models are developed for the geosynchronous transfer orbit (GTO) and structure disciplines respectively. To effectively solve the all-electric GEO satellite MDO problem using multi-fidelity models, an adaptive Co-Kriging based optimization framework is proposed. In this framework, the samples from a high-fidelity MDA process are integrated with those from a low-fidelity MDA process to create a Co-Kriging metamodel with moderate computational cost for optimization. Besides, for refining the Co-Kriging metamodels, a multi-objective adaptive infill sampling approach is developed to produce the infill sample points in terms of expected improvement (EI) and probability of feasibility (PF) functions. Optimization results show that the proposed optimization framework can significantly reduce the total mass of satellite system with limited computational budget, which demonstrates the effectiveness and practicality of the multi-fidelity modeling and adaptive Co-Kriging based optimization framework for all-electric GEO satellite systems design.
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De Lozzo, Matthias, Francois Gallard, Anne Gazaix, Mohammad Abu-Zurayk, Gilbert Roge, Gabriel Fougeron, and Caslav Ilic. "A Data-driven Scalable MDO Problem To Compare MDO Formulations." In AIAA AVIATION 2021 FORUM. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2021. http://dx.doi.org/10.2514/6.2021-3053.

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Hiriyannaiah, Santosh, and Gregory M. Mocko. "Information Management Capabilities of MDO Frameworks." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49934.

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Multidisciplinary design optimization (MDO) is a methodology, which integrates analysis and optimization techniques to solve engineering design problems involving multiple disciplines. MDO frameworks have been developed which facilitate the integration of disciplinary analysis code and optimization techniques. Commonly used MDO frameworks include ModelCenter, iSIGHT, modeFRONTIER and FIDO. Recent advances in MDO framework have addressed issues related to data exchange, distributed computing, process integration and trade study. However managing, storing and sharing MDO problem information have not yet been addressed. Thus, the primary objective in this research is to propose a new configuration for MDO frameworks to enhance information management capabilities. This is achieved by (1) identifying requirements for managing decision-related information, (2) evaluating current MDO frameworks against the key information management requirements, and (3) extending current software to include a file information system and structured repository. Finally, a new configuration is developed augmenting a structured repository to enable reuse of information associated with the formulation of MDO problems.
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Bartholomew, Peter. "The role of MDO within aerospace design and progress towards an MDO capability." In 7th AIAA/USAF/NASA/ISSMO Symposium on Multidisciplinary Analysis and Optimization. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1998. http://dx.doi.org/10.2514/6.1998-4705.

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Kanugula, Raghu, and Sai Rama Narayana Peddi. "BIW Multidisciplinary Design Optimization (MDO) with Equivalent Static Load Method - Quick MDO Methodology." In SAE WCX Digital Summit. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2021. http://dx.doi.org/10.4271/2021-01-0287.

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Xia, Tingting, Mian Li, and Jianhua Zhou. "A Sequential Robust Approach for Multi-Disciplinary Design Optimization With Uncertainty." In ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/detc2016-59418.

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The real challenge for multi-disciplinary design optimization (MDO) problems to gain a robust solution is the propagation of uncertainty from one discipline to another. Most existing methods only consider a MDO problem in deterministic manner or find a solution which is robust for a single-disciplinary optimization problem. These rare methods for solving MDO problems under uncertainty are usually computational expensive. This research proposes a robust sequential MDO (RS-MDO) approach based on a sequential MDO (S-MDO) framework. Firstly, a robust solution is obtained by giving each discipline full autonomy to perform optimization. Tolerance range is specified for the coupling variable to model uncertainty propagation in the original coupled system. Then the obtained robust extreme points of global variable and coupling variable are dispatched into subsystems to perform optimization sequentially. Additional constraints are added to keep consistency and guarantee a robust solution. To find a solution with such strict constraints, genetic algorithm (GA) is used as a solver in each optimization stage. Since all iterations in the sequential optimization stage can be processed in parallel, this robust MDO approach can be more time-saving. Numerical examples are provided to demonstrate the availability and effectiveness of proposed approach.
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Lu, Shen, and Harrison M. Kim. "A Regularized Inexact Penalty Decomposition Algorithm for Multidisciplinary Design Optimization Problem With Complementarity Constraints." In ASME 2009 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2009. http://dx.doi.org/10.1115/detc2009-87278.

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Economic and physical considerations often lead to equilibrium problems in multidisciplinary design optimization (MDO), which can be captured by MDO problems with complementarity constraints (MDO-CC) — a newly emerging class of problem. Due to the ill-posedness associated with the complementarity constraints, many existing MDO methods may have numerical difficulties solving the MDO-CC. In this paper, we propose a new decomposition algorithm for MDO-CC based on the regularization technique and inexact penalty decomposition. The algorithm is presented such that existing proofs can be extended, under certain assumptions, to show that it converges to stationary points of the original problem and that it converges locally at a superlinear rate. Numerical computation with an engineering design example and several analytical example problems shows promising results with convergence to the all-in-one (AIO) solution.
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Elliott, Graham, and Barry Leigh. "Aircraft loads methodology for MDO." In 19th AIAA Applied Aerodynamics Conference. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2001. http://dx.doi.org/10.2514/6.2001-1432.

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Reports on the topic "MDO"

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Kengsakul, Malika, Gatske Nieuwenhuyzen – de Boer, and Heleen van Beekhuizen. Radiological factors associated with residual disease after cytoreductive surgery for advanced ovarian cancer. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, January 2023. http://dx.doi.org/10.37766/inplasy2023.1.0059.

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Review question / Objective: Which radiological factors associated with incomplete cytoreduction (gross residual disease) after cytoreductive surgery (CRS) for advanced ovarian cancer? Condition being studied: Findings of CT scan and discussion in the multidisciplinary tumor board meeting (MDO) are crucial to determine the therapeutic strategy for individual ovarian cancer patients. Preferably, patients undergo primary cytoreductive surgery (CRS) followed by adjuvant chemotherapy. However, when complete cytoreduction is not considered feasible, neoadjuvant chemotherapy followed by interval cytoreductive surgery and adjuvant chemotherapy is indicated. In patients with advanced stage epithelial ovarian cancer (EOC), maximal cytoreduction to no gross residual tumor (complete cytoreduction) is known to associated with the best overall survival.
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Ruby, Jeffrey, Richard Massaro, John Anderson, and Robert Fischer. Three-dimensional geospatial product generation from tactical sources, co-registration assessment, and considerations. Engineer Research and Development Center (U.S.), February 2023. http://dx.doi.org/10.21079/11681/46442.

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According to Army Multi-Domain Operations (MDO) doctrine, generating timely, accurate, and exploitable geospatial products from tactical platforms is a critical capability to meet threats. The US Army Corps of Engineers, Engineer Research and Development Center, Geospatial Research Laboratory (ERDC-GRL) is carrying out 6.2 research to facilitate the creation of three-dimensional (3D) products from tactical sensors to include full-motion video, framing cameras, and sensors integrated on small Unmanned Aerial Systems (sUAS). This report describes an ERDC-GRL processing pipeline comprising custom code, open-source software, and commercial off-the-shelf (COTS) tools to geospatially rectify tactical imagery to authoritative foundation sources. Four datasets from different sensors and locations were processed against National Geospatial-Intelligence Agency–supplied foundation data. Results showed that the co-registration of tactical drone data to reference foundation varied from 0.34 m to 0.75 m, exceeding the accuracy objective of 1 m described in briefings presented to Army Futures Command (AFC) and the Assistant Security of the Army for Acquisition, Logistics and Technology (ASA(ALT)). A discussion summarizes the results, describes steps to address processing gaps, and considers future efforts to optimize the pipeline for generation of geospatial data for specific end-user devices and tactical applications.
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Chang, Ke-Vin. Ultrasonography for the Diagnosis of Carpal Tunnel Syndrome: A Protocol for an Umbrella Review. INPLASY - International Platform of Registered Systematic Review and Meta-analysis Protocols, April 2022. http://dx.doi.org/10.37766/inplasy2022.4.0058.

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Review question / Objective: This meta-analysis aimed to compare the clinical effectiveness and safety between radioactive versus normal stent insertion for patients with malignant hilar obstruction. Condition being studied: Malignant hilar obstruction (MHO) is a common clinical condition that is caused by the hilar cholangiocarcinoma, gallbladder carcinoma, or hilar metastasis. Most of the patients with MHO underwent palliative biliary drainage or stening by an endoscopic or percutaneous approach until end of life. The previous studies suggested that that bilateral stent placement and the use of metal stents are superior to unilateral and plastic stents in the items of stent patency. However, bilateral stenting did not improve the patients’ overall survival (OS) because stent alone had no treatment effect on the tumors themselves. Although several treatment options, including chemotherapy, external radiation, intra-ductal brachytherapy, etc, has been used to prolong the stent patency and OS for patients with malignant biliary obstruction (MBO), intra-ductal brachytherapy using I-125 seeds has been widely used because of its persistent brachytherapeutic effect. To combine the I-125 seeds and metal stent together, many researchers have developed a radioactive stent (RS) for the patients with MBO. Many meta-analyses also confirmed that RS insertion was associated with significant longer stent patency and OS for patients with MBO when compared to normal stent (NS). However, whether RS can also provide a good effectiveness for patients with MHO is still unclear.
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SEXTON, R. A. MCO Monitoring Plan. Office of Scientific and Technical Information (OSTI), September 2000. http://dx.doi.org/10.2172/804797.

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Strauss, H., and E. Hameiri. Solar Flare MDH. Fort Belvoir, VA: Defense Technical Information Center, February 1993. http://dx.doi.org/10.21236/ada262275.

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SEXTON, R. A. MCO Monitoring activity description. Office of Scientific and Technical Information (OSTI), November 1998. http://dx.doi.org/10.2172/11249.

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Rivest, R. L. MD4 Message Digest Algorithm. RFC Editor, October 1990. http://dx.doi.org/10.17487/rfc1186.

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Touch, J. Report on MD5 Performance. RFC Editor, June 1995. http://dx.doi.org/10.17487/rfc1810.

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Baker, F., and R. Atkinson. RIP-2 MD5 Authentication. RFC Editor, January 1997. http://dx.doi.org/10.17487/rfc2082.

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Turner, S., and L. Chen. MD2 to Historic Status. RFC Editor, March 2011. http://dx.doi.org/10.17487/rfc6149.

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