Relevant bibliographies by topics / Complex engineered system

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Complex engineered system'

Author: Grafiati
Published: 26 June 2021
Last updated: 9 February 2022

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Journal articles on the topic "Complex engineered system"

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Mehrpouyan, Hoda, Brandon Haley, Andy Dong, Irem Y. Tumer, and Christopher Hoyle. "Resiliency analysis for complex engineered system design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 29, no. 1 (January 19, 2015): 93–108. http://dx.doi.org/10.1017/s0890060414000663.

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AbstractResilience is a key driver in the design of systems that must operate in an uncertain operating environment, and it is a key metric to assess the capacity for systems to perform within the specified performance envelop despite disturbances to their operating environment. This paper describes a graph spectral approach to calculate the resilience of complex engineered systems. The resilience of the design architecture of complex engineered systems is deduced from graph spectra. This is calculated from adjacency matrix representations of the physical connections between components in complex engineered systems. Furthermore, we propose a new method to identify the most vulnerable components in the design and design architectures that are robust to transmission of failures. Nonlinear dynamical system and epidemic spreading models are used to compare the failure propagation mean time transformation. Using these metrics, we present a case study based on the Advanced Diagnostics and Prognostics Testbed, which is an electrical power system developed at NASA Ames as a subsystem for the ramp system of an infantry fighting vehicle.
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Liu, Boyuan, Shuangxi Huang, Wenhui Fan, Tianyuan Xiao, James Humann, Yuyang Lai, and Yan Jin. "Data driven uncertainty evaluation for complex engineered system design." Chinese Journal of Mechanical Engineering 29, no. 5 (May 16, 2016): 889–900. http://dx.doi.org/10.3901/cjme.2016.0422.058.

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McIntire, Matthew G., Christopher Hoyle, Irem Y. Tumer, and David C. Jensen. "Safety-informed design: Using subgraph analysis to elicit hazardous emergent failure behavior in complex systems." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 30, no. 4 (October 4, 2016): 466–73. http://dx.doi.org/10.1017/s089006041600041x.

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AbstractIdentifying failure paths and potentially hazardous scenarios resulting from component faults and interactions is a challenge in the early design process. The inherent complexity present in large engineered systems leads to nonobvious emergent behavior, which may result in unforeseen hazards. Current hazard analysis techniques focus on single hazards (fault trees), single faults (event trees), or lists of known hazards in the domain (hazard identification). Early in the design of a complex system, engineers may represent their system as a functional model. A function failure reasoning tool can then exhaustively simulate qualitative failure scenarios. Some scenarios can be identified as hazardous by hazard rules specified by the engineer, but the goal is to identify scenarios representing unknown hazards. The incidences of specific subgraphs in graph representations of known hazardous scenarios are used to train a classifier to distinguish hazard from nonhazard. The algorithm identifies the scenario most likely to be hazardous, and presents it to the engineer. After viewing the scenario and judging its safety, the engineer may have insight to produce additional hazard rules. The collaborative process of strategic presentation of scenarios by the computer and human judgment will identify previously unknown hazards. The feasibility of this methodology has been tested on a relatively simple functional model of an electrical power system with positive results. Related work applying function failure reasoning to a team of robotic rovers will provide data from a more complex system.
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Basole, Rahul C., Ahsan Qamar, Hyunwoo Park, Christiaan J. J. Paredis, and Leon F. McGinnis. "Visual Analytics for Early-Phase Complex Engineered System Design Support." IEEE Computer Graphics and Applications 35, no. 2 (March 2015): 41–51. http://dx.doi.org/10.1109/mcg.2015.3.

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Dimauro, G., S. Impedovo, G. Pirlo, and A. Salzo. "Automatic Bankcheck Processing: A New Engineered System." International Journal of Pattern Recognition and Artificial Intelligence 11, no. 04 (June 1997): 467–504. http://dx.doi.org/10.1142/s0218001497000214.

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A new bankcheck processing system is presented in this paper. A full exploitation of the contextual knowledge, together with a multi-expert approach, have been used both to analyze the complex shape of handwritten text and to design the system. Several processing modules have been integrated in the system. Some of the most relevant are those for data acquisition, preprocessing, machine-printed numeral recognition, layout analysis, courtesy amount recognition, legal amount recognition, amount validation, and signature verification. Some combination techniques have also been used in the system. Reuse and maintenance of the system were two of the main goals of the designing process and the Khoros software tool was used for this purpose.
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Sun, Eric D., Thomas C. T. Michaels, and L. Mahadevan. "Optimal control of aging in complex networks." Proceedings of the National Academy of Sciences 117, no. 34 (August 12, 2020): 20404–10. http://dx.doi.org/10.1073/pnas.2006375117.

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Many complex systems experience damage accumulation, which leads to aging, manifest as an increasing probability of system collapse with time. This naturally raises the question of how to maximize health and longevity in an aging system at minimal cost of maintenance and intervention. Here, we pose this question in the context of a simple interdependent network model of aging in complex systems and show that it exhibits cascading failures. We then use both optimal control theory and reinforcement learning alongside a combination of analysis and simulation to determine optimal maintenance protocols. These protocols may motivate the rational design of strategies for promoting longevity in aging complex systems with potential applications in therapeutic schedules and engineered system maintenance.
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Burg, Timothy, Cheryl A. P. Cass, Richard Groff, Matthew Pepper, and Karen J. L. Burg. "Building off-the-shelf tissue-engineered composites." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 368, no. 1917 (April 28, 2010): 1839–62. http://dx.doi.org/10.1098/rsta.2010.0002.

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Rapid advances in technology have created the realistic possibility of personalized medicine. In 2000, Time magazine listed tissue engineering as one of the ‘hottest 10 career choices’. However, in the past decade, only a handful of tissue-engineered products were translated to the clinical market and none were financially viable. The reality of complex business planning and the high-investment, high-technology environment was not apparent, and the promise of tissue engineering was overstated. In the meantime, biologists were steadily applying three-dimensional benchtop tissue-culture systems for cellular research, but the systems were gelatinous and thus limited in their ability to facilitate the development of complex tissues. Now, the bioengineering literature has seen an emergence of literature describing biofabrication of tissues and organs. However, if one looks closely, again, the viable products appear distant. ‘Rapid’ prototyping to reproduce the intricate patterns of whole organs using large volumes of cellular components faces daunting challenges. Homogenous forms are being labelled ‘tissues’, but, in fact, do not represent the heterogeneous structure of the native biological system. In 2003, we disclosed the concept of combining rapid prototyping techniques with tissue engineering technologies to facilitate precision development of heterogeneous complex tissue-test systems, i.e. systems to be used for drug discovery and the study of cellular behaviour, biomedical devices and progression of disease. The focus of this paper is on the challenges we have faced since that time, moving this concept towards reality, using the case of breast tissue as an example.
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Noor, Ahmed K. "The World is More Than Complicated." Mechanical Engineering 133, no. 11 (November 1, 2011): 30–35. http://dx.doi.org/10.1115/1.2011-nov-1.

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This article discusses the need of complex systems to be adaptive, and various innovative technologies that are required to engineer these systems. Complex adaptive systems consist of several simultaneously interacting parts or components, which are expected to function in an uncertain, complex environment, and to adapt to unforeseeable contingencies. The defining characteristics of complex adaptive systems are that the components are continually changing, the systems involve many interactions among components, and configurations cannot be fully determined in advance. Studies have shown that complex systems of the future will require a multidisciplinary framework—an approach that has been called emergent (complexity) engineering. Emergent engineering designs a system from the bottom-up by designing the individual components and their interactions that can lead to a desired global response. Although significant effort has been devoted to understanding complexity in natural and engineered systems, the research into complex adaptive systems is fragmented and is largely focused on specific examples. In order to accelerate the development of future diverse complex systems, there is a profound need for developing the new multidisciplinary framework of emergent engineering, along with associated systematic approaches, and generally valid methods and tools for high-fidelity simulations of the collective emergent behavior of these systems.
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Christensen, G., Y. Wang, and K. R. Chien. "Physiological assessment of complex cardiac phenotypes in genetically engineered mice." American Journal of Physiology-Heart and Circulatory Physiology 272, no. 6 (June 1, 1997): H2513—H2524. http://dx.doi.org/10.1152/ajpheart.1997.272.6.h2513.

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The recent development of techniques for surgical manipulation and for the assessment of cardiac physiology in genetically engineered mice has allowed scientists to address some of the most fundamental questions related to congenital and acquired forms of human heart disease. This review discusses recent advances in the techniques for studying cardiac disease using the mouse as a model system. Because cardiac overload is one of the most important stimuli for development of hypertrophy and heart failure in humans, various models of cardiac pressure and volume overload, as well as myocardial ischemia, have been developed and characterized. Moreover, it is possible to reliably examine murine cardiac physiology in vivo with microtransducers, echocardiography, and other miniaturized techniques. Sophisticated methods have also been developed to enable an examination of single-cell phenotypes of isolated cardiomyocytes derived from genetically engineered mice. These physiological assessments, coupled with conventional histology and molecular markers, have allowed the characterization of several gene-targeted and transgenic mouse models of hypertrophy and dilated cardiomyopathy, as well as mouse models of cardiac developmental defects. Such mouse models of heart disease will ultimately allow the molecular dissection of the interplay between the various factors leading to heart disease, and they may serve as a guide to appropriate therapeutic strategies for human heart disease.
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Nossa, Roberta, Joana Costa, Ludovica Cacopardo, and Arti Ahluwalia. "Breathing in vitro: Designs and applications of engineered lung models." Journal of Tissue Engineering 12 (January 2021): 204173142110086. http://dx.doi.org/10.1177/20417314211008696.

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The aim of this review is to provide a systematic design guideline to users, particularly engineers interested in developing and deploying lung models, and biologists seeking to identify a suitable platform for conducting in vitro experiments involving pulmonary cells or tissues. We first discuss the state of the art on lung in vitro models, describing the most simplistic and traditional ones. Then, we analyze in further detail the more complex dynamic engineered systems that either provide mechanical cues, or allow for more predictive exposure studies, or in some cases even both. This is followed by a dedicated section on microchips of the lung. Lastly, we present a critical discussion of the different characteristics of each type of system and the criteria which may help researchers select the most appropriate technology according to their specific requirements. Readers are encouraged to refer to the tables accompanying the different sections where comprehensive and quantitative information on the operating parameters and performance of the different systems reported in the literature is provided.
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Dissertations / Theses on the topic "Complex engineered system"

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Abbas, Manzar. "System-level health assessment of complex engineered processes." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/37260.

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Condition-Based Maintenance (CBM) and Prognostics and Health Management (PHM) technologies aim at improving the availability, reliability, maintainability, and safety of systems through the development of fault diagnostic and failure prognostic algorithms. In complex engineering systems, such as aircraft, power plants, etc., the prognostic activities have been limited to the component-level, primarily due to the complexity of large-scale engineering systems. However, the output of these prognostic algorithms can be practically useful for the system managers, operators, or maintenance personnel, only if it helps them in making decisions, which are based on system-level parameters. Therefore, there is an emerging need to build health assessment methodologies at the system-level. This research employs techniques from the field of design-of-experiments to build response surface metamodels at the system-level that are built on the foundations provided by component-level damage models.
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Haraszti, Reka A. "Engineered Exosomes for Delivery of Therapeutic siRNAs to Neurons." eScholarship@UMMS, 2018. https://escholarship.umassmed.edu/gsbs_diss/971.

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Extracellular vesicles (EVs), exosomes and microvesicles, transfer endogenous RNAs between neurons over short and long distances. We have explored EVs for siRNA delivery to brain. (1) We optimized siRNA chemical modifications and siRNA conjugation to lipids for EV-mediated delivery. (2) We developed a GMP-compatible, scalable method to manufacture active EVs in bulk. (3) We characterized lipid and protein content of EVs in detail. (4) We established how protein and lipid composition relates to siRNA delivering activity of EVs, and we reverse engineered natural exosomes (small EVs) into artificial exosomes based on these data. We established that cholesterol-conjugated siRNAs passively associate to EV membrane and can be productively delivered to target neurons. We extensively characterized this loading process and optimized exosome-to-siRNA ratios for loading. We found that chemical stabilization of 5'-phosphate with 5'-E-vinylphosphonate and chemical stabilization of all nucleotides with 2'-O-methyl and 2'-fluoro increases the accumulation of siRNA and the level of mRNA silencing in target cells. Therefore, we recommend using fully modified siRNAs for lipid-mediated loading to EVs. Later, we identified that α-tocopherol-succinate (vitamin E) conjugation to siRNA increases productive loading to exosomes compared to originally described cholesterol. Low EV yield has been a rate-limiting factor in preclinical development of the EV technology. We developed a scalable EV manufacturing process based on three-dimensional, xenofree culture of mesenchymal stem cells and concentration of EVs from conditioned media using tangential flow filtration. This process yields exosomes more efficient at siRNA delivery than exosomes isolated via differential ultracentrifugation from two-dimensional cultures of the same cells. In-depth characterization of EV content is required for quality control of EV preparations as well as understanding composition–activity relationship of EVs. We have generated mass-spectrometry data on more than 3000 proteins and more than 2000 lipid species detected in exosomes (small EVs) and microvesicles (large EVs) isolated from five different producer cells: two cell lines (U87 and Huh7) and three mesenchymal stem cell types (derived from bone marrow, adipose tissue and umbilical cord Wharton’s jelly). These data represent an indispensable resource for the community. Furthermore, relating composition change to activity change of EVs isolated from cells upon serum deprivation allowed us to identify essential components of siRNA-delivering exosomes. Based on these data we reverse engineered natural exosomes into artificial exosomes consisting of dioleoyl-phosphatidylcholine, cholesterol, dilysocardiolipin, Rab7, AHSG and Desmoplakin. These artificial exosomes reproduced efficient siRNA delivery of natural exosomes both in vitro and in vivo. Artificial exosomes may facilitate manufacturing, quality control and cargo loading challenge that currently impede the therapeutic EV field.
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Hambley, Chris J. "Multilevel design for complex engineered systems." Thesis, University of Sheffield, 2018. http://etheses.whiterose.ac.uk/22673/.

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Efatmaneshnik, Mahmoud Mechanical &amp Manufacturing Engineering Faculty of Engineering UNSW. "Towards immunization of complex engineered systems: products, processes and organizations." Publisher:University of New South Wales. Mechanical & Manufacturing Engineering, 2009. http://handle.unsw.edu.au/1959.4/43358.

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Engineering complex systems and New Product Development (NPD) are major challenges for contemporary engineering design and must be studied at three levels of: Products, Processes and Organizations (PPO). The science of complexity indicates that complex systems share a common characteristic: they are robust yet fragile. Complex and large scale systems are robust in the face of many uncertainties and variations; however, they can collapse, when facing certain conditions. This is so since complex systems embody many subtle, intricate and nonlinear interactions. If formal modelling exercises with available computational approaches are not able to assist designers to arrive at accurate predictions, then how can we immunize our large scale and complex systems against sudden catastrophic collapse? This thesis is an investigation into complex product design. We tackle the issue first by introducing a template and/or design methodology for complex product design. This template is an integrated product design scheme which embodies and combines elements of both design theory and organization theory; in particular distributed (spatial and temporal) problem solving and adaptive team formation are brought together. This design methodology harnesses emergence and innovation through the incorporation of massive amount of numerical simulations which determines the problem structure as well as the solution space characteristics. Within the context of this design methodology three design methods based on measures of complexity are presented. Complexity measures generally reflect holistic structural characteristics of systems. At the levels of PPO, correspondingly, the Immunity Index (global modal robustness) as an objective function for solutions, the real complexity of decompositions, and the cognitive complexity of a design system are introduced These three measures are helpful in immunizing the complex PPO from chaos and catastrophic failure. In the end, a conceptual decision support system (DSS) for complex NPD based on the presented design template and the complexity measures is introduced. This support system (IMMUNE) is represented by a Multi Agent Blackboard System, and has the dual characteristic of the distributed problem solving environments and yet reflecting the centralized viewpoint to process monitoring. In other words IMMUNE advocates autonomous problem solving (design) agents that is the necessary attribute of innovative design organizations and/or innovation networks; and at the same time it promotes coherence in the design system that is usually seen in centralized systems.
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Hubbard, Ella-Mae. "Supporting the Configuration of Decision-Making Systems for Complex, Long-Life Engineered Systems." Thesis, Loughborough University, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.519717.

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Agarwal, Kuldeep. "Physics Based Hierarchical Decomposition of Processes for Design of Complex Engineered Systems." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1322152146.

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Di, Federico Erica. "Complex mechanical conditioning of cell-seeded constructs can influence chondrocyte activity." Thesis, Queen Mary, University of London, 2014. http://qmro.qmul.ac.uk/xmlui/handle/123456789/7982.

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Articular cartilage represents a primary target for tissue engineering strategies as it does not functionally regenerate within the joint. Many tissue engineering approaches have focused on the in vitro generation of neo-cartilage using chondrocyte-seeded scaffolds. Several studies have reported the morphological appearance of native cartilage, although its functional competence has not been demonstrated. Accordingly, mechanical conditioning has often been introduced to enhance biosynthetic activity of chondrocytes within 3D constructs. However although this strategy has significantly up-regulated proteoglycan synthesis, its effects on the synthesis of the other major solid constituent, type II collagen, has been modest. Analyses of normal joint activities reveal that cartilage is subjected to shear superimposed on uniaxial compression. This complex mechanical state has motivated the design of a biaxial loading system intended for use in vitro to stimulated bovine chondrocytes seeded in agarose constructs. This necessitated the redesign of the construct from cylindrical morphology to accommodate shear loading. The experimental approach was complemented with the development of computational models, which permitted prediction of both cell distortion under biaxial loading regimens and nutrient diffusion within the 3D constructs. An initial study established the profile of proteoglycan and collagen synthesis in free swelling cultures up to day 12. The introduction of dynamic compression (15% strain, 1 Hz for 48 h) enhanced proteoglycan synthesis significantly. In addition, when dynamic shear (10%, 1 Hz) was superimposed on dynamic compression, total collagen synthesis was also up-regulated, within 3 days of culture, without compromising proteoglycan synthesis. Histological analysis revealed marked collagen deposition around individual chondrocytes. However, a significant proportion (50%) of collagen was released into the culture medium, suggesting that it was not fully processed. The overall biosynthetic activity was enhanced more when the biaxial stimulation was applied in a continuous mode as opposed to intermittent loading. The present work offers the potential for a more effective preconditioning of cell-seeded constructs with functional integrity intended for use to resolve defects in joint cartilage.
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Alfaris, Anas (Anas Faris). "The Evolutionary Design Model (EDM) for the design of complex engineered systems : Masdar City as a case study." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/58187.

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Thesis (S.M.)--Massachusetts Institute of Technology, Computation for Design and Optimization Program, 2009.
"September 2009." Cataloged from PDF version of thesis.
Includes bibliographical references (p. 150-157).
This thesis develops a framework for constructing an Evolutionary Design Model (EDM) that would enhance the design of complex systems through an efficient process. The framework proposed is generic and suggests a group of systematic methodologies that eventually lead to a fully realized and integrated design model. Within this model, complexities of the design are handled and the uncertainties of the design evolution are managed. Using the framework, vast design spaces can be searched while solutions are intelligently modified, their performance evaluated, and their results aggregated into a compatible set for design decisions. The EDM is composed of several design states as well as design evolving processes. A design state describes a design at a particular point in time and maps the system's object to the system's requirements and identifies its relation to the context in which the system will operate. A design evolving process involves many sub-processes which include formulation, decomposition, modeling, and integration. These sub-processes are not always carried out in a sequential manner, but rather a continuous move back and forth to previous and subsequent stages is expected. The resulting design model is described as an evolutionary model that moves a system's design from simple abstract states to more complex and detailed states throughout its evolution.
(cont.) The framework utilizes system modeling methodologies that include both logical and mathematical modeling methods. The type of model used within the EDM's evolving processes is highly dependent on and driven by design needs of each process. As the design progresses a shift from logical models to mathematical models occurs within the EDM. Finally, a partial EDM is implemented within the context of a computational design system for Masdar city to demonstrate the application of the proposed framework.
By Anas Alfaris.
S.M.
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Taylor, James Edward Nathan. "Biochemical and biophysical characterisation of the genetically engineered Type I restriction-modification system, EcoR124I NT." Thesis, University of Portsmouth, 2005. https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.424193.

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The EcoR124INT restriction-modification (R-M) system contains the genes HsdS3, HsdM and HsdR. S3 encodes the N-terminal domain of the wild-type S subunit and has been shown to dimerise in solution (Smith et al., 1998). Following purification of the subunits of the EcoR124INT R-M system, complexes of the methyltransferase S3/M and restriction endonuclease S3/M/R were formed and shown to have activity in vitro, methylating and hydrolysing a symmetrical DNA recognition sequence, respectively. The DNA mimic OCR (overcome classical restriction) protein inhibited the methyltransferase activity in vitro, with maximum inhibition at a 1: 2 molar ratio of (S3/M)2 to an ocr dimer. Dynamic light scattering (DLS), sedimentation equilibrium (SE) and sedimentation velocity (SV) experiments showed S3 to exist as a dimer and S11 (the central conserved domain of S) to exist as a tetramer in solution. M was found to be dimeric in solution, whilst the R protein was monomeric. A complex of S3/M was found to have a stoichiometry (S3/M)2 and a complex of S3/M/R had a stoichiometry of S3/M/R1, even when a 2: 1 molar ratio of R to S3/M, was added. Small angle neutron scattering (SANS) experiments provided values for the radius of gyration (Rg), which for S3 was comparable to that calculated for the recently published crystal structure of the S subunit from Methanococcus jannaschii (Kim et al., 2005). These experiments also showed a decrease in the Dmax in the presence of the 30 bp DNA recognition sequence from 200A to 140A, suggesting a similar conformational change in the positioning of the subunits as has been detected for the wild-type M. EcoR124I and a related type 1 1/2 system AhdI. This change following DNA binding was also observed by SV experiments. Furthermore ab initio modelling from the SANS data has provided a low-resolution structure for the EcoR124INT MTase and its complex with DNA.
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Sprauer, William A. "Self-organization and Sense-making in Architect-Engineer Design Teams| Leveraging Health Care's Approach to "Managing" Complex Adaptive Systems." Thesis, The George Washington University, 2016. http://pqdtopen.proquest.com/#viewpdf?dispub=10126014.

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Traditional, corporate-level risk mitigation procedures and management-led performance improvement efforts tend to ignore the relationship dynamics of Architect-Engineer design teams, and instead focus on the credentials and abilities of the individual designers, the contractual framework surrounding the individual projects, and the process for inspecting and controlling the quality of the team’s output, the design. Management may tacitly acknowledge the complex nature of the design process, but the notion of design teams as complex systems, or more precisely, Complex Adaptive Systems (CAS), with their inherently unpredictable behaviors, is not typically considered.

The research herein analyzed the team dynamics of 113 Architect-Engineer design projects to determine if teams that leveraged or embraced (deliberately or unknowingly) the self-organizing and sense-making properties of CAS, to include improvisation, an emphasis on intra- and cross-boundary communication, broad participation in decision-making, autonomy in managing resources, and deliberate use of conflict and uncertainty to alter standard behavior patterns, delivered more successful projects than teams whose leadership attempted (again, deliberately or unknowingly) to overcome those same CAS properties with detailed design or quality control (QC) procedures, a strong organizational identity that informed behavior, concentrated decision-making authority with a focus on efficiency of effort, and swift resolution of conflict. The parameters for measuring project success included adherence to schedule, project profitability, design errors, contractual disputes or litigation, and customer satisfaction.

An analysis of the data utilizing non-parametric analytical tools, to include Mann-Whitney Rank Sum analysis, calculation of Kendall’s tau-b, and ordinal logistic regression, reveals that while encouraging a design team to improvise can improve project outcomes, fostering or allowing self-organization in general is not associated with improved project performance. On the other hand, an environment that promotes team members’ sense-making abilities (although the use of conflict or noise as tools to promote adaptive thinking remains problematic) leads to improvements in project success factors. Finally, the results suggest that Architect-Engineer design team management is not a linear enterprise, and that in determining project success, the relationships between design team members may be as important as the technical competency of the designers and the design or quality control procedures they follow.

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Books on the topic "Complex engineered system"

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Braha, Dan, Ali A. Minai, and Yaneer Bar-Yam, eds. Complex Engineered Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/3-540-32834-3.

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Nemiche, Mohamed, and Mohammad Essaaidi, eds. Advances in Complex Societal, Environmental and Engineered Systems. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-46164-9.

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Philippe, Blanchard, ed. Dynamics of complex and irregular systems: Bielefeld Encounters in Mathematics and Physics VIII : 16-20 December 1991, Germany. Singapore: River Edge, NJ, 1993.

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Rand, William, and Uri Wilensky. Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, 2015.

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Rand, William, and Uri Wilensky. Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, 2015.

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Rand, William, and Uri Wilensky. Introduction to Agent-Based Modeling: Modeling Natural, Social, and Engineered Complex Systems with NetLogo. MIT Press, 2015.

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1976-, Rand William, ed. An introduction to agent-based modeling: Modeling natural, social, and engineered complex systems with NetLogo. The MIT Press, 2015.

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(Editor), D. Braha, Al A. Minai (Editor), and Y. Bar-Yam (Editor), eds. Complex Engineered Systems: Science Meets Technology (Understanding Complex Systems). Springer, 2006.

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Podofillini, Luca, Bruno Sudret, Bozidar Stojadinovic, Enrico Zio, and Wolfgang Kröger, eds. Safety and Reliability of Complex Engineered Systems. CRC Press, 2015. http://dx.doi.org/10.1201/b19094.

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Essaaidi, Mohammad, and Mohamed Nemiche. Advances in Complex Societal, Environmental and Engineered Systems. Springer, 2018.

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Book chapters on the topic "Complex engineered system"

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Sinha, Kaushik, Narek R. Shougarian, and Olivier L. de Weck. "Complexity Management for Engineered Systems Using System Value Definition." In Complex Systems Design & Management, 155–70. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-49103-5_12.

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Sillitto, Hillary. "Correction to: Nature of an Engineered System: Illustrated from Engineering Artefacts and Complex Systems." In Handbook of Systems Sciences, C1. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-0720-5_82.

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Dale Thomas, L., and Katherine Burris. "Generational Evolution in Complex Engineered Systems." In Disciplinary Convergence in Systems Engineering Research, 751–64. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-62217-0_52.

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Johnson, Bonnie. "Engineered Complex Adaptive Systems of Systems: A Military Application." In Unifying Themes in Complex Systems IX, 499–506. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96661-8_51.

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Bukowski, Lech. "Designing Complex Engineered Systems for the Risky Environment." In Reliable, Secure and Resilient Logistics Networks, 93–150. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00850-5_4.

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Bhaduri, Budhendra, Ryan McManamay, Olufemi Omitaomu, Jibo Sanyal, and Amy Rose. "Urban Energy Systems: Research at Oak Ridge National Laboratory." In Urban Informatics, 281–308. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_18.

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AbstractIn the coming decades, our planet will witness unprecedented urban population growth in both established and emerging communities. The development and maintenance of urban infrastructures are highly energy-intensive. Urban areas are dictated by complex intersections among physical, engineered, and human dimensions that have significant implications for traffic congestion, emissions, and energy usage. In this chapter, we highlight recent research and development efforts at Oak Ridge National Laboratory (ORNL), the largest multipurpose science laboratory within the U.S. Department of Energy’s (DOE) national laboratory system, that characterizes the interactions between the human dynamics and critical infrastructures in conjunction with the integration of four distinct components: data, critical infrastructure models, and scalable computation and visualization, all within the context of physical and social systems. Discussions focus on four key topical themes: population and land use, sustainable mobility, the energy-water nexus, and urban resiliency, that are mutually aligned with DOE’s mission and ORNL’s signature science and technology capabilities. Using scalable computing, data visualization, and unique datasets from a variety of sources, the institute fosters innovative interdisciplinary research that integrates ORNL expertise in critical infrastructures including energy, water, transportation, and cyber, and their interactions with the human population.
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Farnham, Roger, and Erik W. Aslaksen. "Systems Engineering in Modern Power Plant Projects: ‘Stakeholder Engineer’ Roles." In Complex Systems Design & Management, 269–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-25203-7_19.

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Sinha, Kaushik, and Olivier L. de Weck. "STRUCTURAL COMPLEXITY METRIC FOR ENGINEERED COMPLEX SYSTEMS AND ITS APPLICATION." In Gain competitive advantage by managing complexity, 181–92. München: Carl Hanser Verlag GmbH & Co. KG, 2012. http://dx.doi.org/10.3139/9783446434127.015.

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Sillitto, Hillary. "Nature of an Engineered Systems: Illustrated from Engineering Artefacts and Complex Systems." In Handbook of Systems Sciences, 1–57. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-13-0370-8_17-1.

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Sillitto, Hillary. "Nature of an Engineered Systems: Illustrated from Engineering Artefacts and Complex Systems." In Handbook of Systems Sciences, 983–1039. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-0720-5_17.

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Conference papers on the topic "Complex engineered system"

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Youn, Byeng D., Chao Hu, and Pingfeng Wang. "Resilience-Driven System Design of Complex Engineered Systems." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48314.

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Most engineered systems are designed with a passive and fixed design capacity and, therefore, may become unreliable in the presence of adverse events. Currently, most engineered systems are designed with system redundancies to ensure required system reliability under adverse events. However, a high level of system redundancy increases a system’s life-cycle cost (LCC). Recently, proactive maintenance decisions have been enabled through the development of prognostics and health management (PHM) methods that detect, diagnose, and predict the effects of adverse events. Capitalizing on PHM technology at an early design stage can transform passively reliable (or vulnerable) systems into adaptively reliable (or resilient) systems while considerably reducing their LCC. In this paper, we propose a resilience-driven system design (RDSD) framework with the goal of designing complex engineered systems with resilience characteristics. This design framework is composed of three hierarchical tasks: (i) the resilience allocation problem (RAP) as a top-level design problem to define a resilience measure as a function of reliability and PHM efficiency in an engineering context, (ii) the system reliability-based design optimization (RBDO) as the first bottom-level design problem for the detailed design of components, and (iii) the system PHM design as the second bottom-level design problem for the detailed design of PHM units. The proposed RDSD framework is demonstrated using a simplified aircraft control actuator design problem resulting in a highly resilient actuator with optimized reliability, PHM efficiency and redundancy for the given parameter settings.
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Mehrpouyan, Hoda, Brandon Haley, Andy Dong, Irem Y. Tumer, and Chris Hoyle. "Resilient Design of Complex Engineered Systems." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-13248.

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This paper presents a complex network and graph spectral approach to calculate the resiliency of complex engineered systems. Resiliency is a key driver in how systems are developed to operate in an unexpected operating environment, and how systems change and respond to the environments in which they operate. This paper deduces resiliency properties of complex engineered systems based on graph spectra calculated from their adjacency matrix representations, which describes the physical connections between components in a complex engineered systems. In conjunction with the adjacency matrix, the degree and Laplacian matrices also have eigenvalue and eigenspectrum properties that can be used to calculate the resiliency of the complex engineered system. One such property of the Laplacian matrix is the algebraic connectivity. The algebraic connectivity is defined as the second smallest eigenvalue of the Laplacian matrix and is proven to be directly related to the resiliency of a complex network. Our motivation in the present work is to calculate the algebraic connectivity and other graph spectra properties to predict the resiliency of the system under design.
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Haley, Brandon M., Andy Dong, and Irem Y. Tumer. "Creating Faultable Network Models of Complex Engineered Systems." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34407.

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This paper presents a new methodology for modeling complex engineered systems using complex networks for failure analysis. Many existing network-based modeling approaches for complex engineered systems “abstract away” the functional details to focus on the topological configuration of the system and thus do not provide adequate insight into system behavior. To model failures more adequately, we present two types of network representations of a complex engineered system: a uni-partite architectural network and a weighted bi-partite behavioral network. Whereas the architectural network describes physical inter-connectivity, the behavioral network represents the interaction between functions and variables in mathematical models of the system and its constituent components. The levels of abstraction for nodes in both network types affords the evaluation of failures involving morphology or behavior, respectively. The approach is shown with respect to a drivetrain model. Architectural and behavioral networks are compared with respect to the types of faults that can be described. We conclude with considerations that should be employed when modeling complex engineered systems as networks for the purpose of failure analysis.
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Mehrpouyan, Hoda, Brandon Haley, Andy Dong, Irem Y. Tumer, and Chris Hoyle. "Resilient Design of Complex Engineered Systems Against Cascading Failure." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-63308.

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This paper describes an approach commonly used with complex networks to study the failure propagation in an engineered system design. The goal of the research is to synthesize and illustrate system design characteristics that results from possible impact of the underlying design methodology based on cascading failures. Further, identifying the most vulnerable component in the design or system design architectures that are resilient to such dissemination of failures provide additional property improvement for resilient design. The paper presents a case study based on the ADAPT (Electrical Power System) EPS testbed at NASA Ames as a subsystem for the Ramp System of an Infantry Fighting Vehicle (IFV). A popular methodology based on the adjacency matrix, which is commonly used to represent edge connections between nodes in complex networks, has inspired interest in the use of similar methods to represent complex engineered systems. This is made possible, by defining the connections between components as a flow of energy, signal, and material and constraining physical connection between compatible components within complex engineered systems. Non-linear dynamical system (NLDS) and epidemic spreading models are used to compare the failure propagation mean time transformation. The results show that coupling, modularity, and module complexity all play an important part in the design of robust large complex engineered systems.
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Cansler, Ethan Z., Scott M. Ferguson, and Christopher A. Mattson. "Identifying and Mapping Excess Relationships in Complex Engineered Systems." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34971.

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The design of complex engineered systems is one of the great challenges currently facing designers. Beyond addressing the obvious difficulties stemming from system complexity, designers must also consider that such systems will likely evolve within their service lifetime. As future environments are often unknown, designers must create systems capable of evolving in-service to meet unforeseen requirements. Previous research exploring the concept of service-phase evolvability has indicated that design excess is a critical factor enabling such change. This paper explores how information available from current techniques in the design literature that focus on system change can be expanded and synthesized to map excess within a component and within a system. Examples are presented where information from High-Definition Design Structure Matrices and functional models are used to complete this mapping. The goal of this paper is to serve as the foundation for quantifying design excess in future work.
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Soria Zurita, Nicolás F., and Irem Y. Tumer. "A Survey: Towards Understanding Emergent Behavior in Complex Engineered Systems." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67453.

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The design of complex engineered systems is challenging, especially in early design stages due to the complex emergent behavior that often results in unforeseen failures. Emergent behavior is a distinctive aspect of systems in which the exhibited behavior of the system is more complex than the behavior of the individual components that shape the system. Understanding the emergent behavior is critical to perform an accurate assessment of the designed system. The objective of this paper is to explore the different existing concepts, methods, and approaches used by researchers to understand and manage emergent behavior in complex systems. We provide a critical review of the emergence concept to discern what characteristics about the causal process it reflects, so it can be used or implemented in further research in complex engineered systems. Specifically, this research explores the current state of-the-art on emergence, and identifies possible gaps in the research literature. We present different approaches used by engineers to deal with emergent behavior in different research areas such as Multiagent Systems (MAS), System of Systems (SOS), and Emergence Engineering.
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Keshavarzi, Elham, Kai Goebel, Irem Y. Tumer, and Christopher Hoyle. "Model Validation in Early Phase of Designing Complex Engineered 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/detc2018-85137.

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In design process of a complex engineered system, studying the behavior of the system prior to manufacturing plays a key role to reduce cost of design and enhance the efficiency of the system during its lifecycle. To study the behavior of the system in the early design phase, it is required to model the characterization of the system and simulate the system’s behavior. The challenge is the fact that in early design stage, there is no or little information from the real system’s behavior, therefore there is not enough data to use to validate the model simulation and make sure that the model is representing the real system’s behavior appropriately. In this paper, we address this issue and propose methods to validate the model developed in the early design stage. First we propose a method based on FMEA and show how to quantify expert’s knowledge and validate the model simulation in the early design stage. Then, we propose a non-parametric technique to test if the observed behavior of one or more subsystems which currently exist, and the model simulation are the same. In addition, a local sensitivity analysis search tool is developed that helps the designers to focus on sensitive parts of the system in further design stages, particularly when mapping the conceptual model to a component model. We apply the proposed methods to validate the output of failure simulation developed in the early stage of designing a monopropellant propulsion system design.
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Sinha, Kaushik, and Olivier L. de Weck. "Structural Complexity Quantification for Engineered Complex Systems and Implications on System Architecture and Design." In ASME 2013 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/detc2013-12013.

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The complexity of today’s highly engineered products is rooted in the interwoven architecture defined by its components and their interactions. Such structures can be viewed as the adjacency matrix of the associated dependency network representing the product architecture. To evaluate a complex system or to compare it to other systems, numerical assessment of its structural complexity is essential. In this paper, we develop a quantitative measure for structural complexity and apply the same to real-world engineered systems like gas turbine engines. It is observed that low topological complexity implies centralized architectures and that higher levels of complexity generally indicate highly distributed architectures. We posit that the development cost varies non-linearly with structural complexity. Empirical evidence of such behavior is presented from the literature and preliminary results from simple experiments involving assembly of simple structures further strengthens our hypothesis. We demonstrate that structural complexity and modularity are not necessarily negatively correlated using a simple example. We further discuss distribution of complexity across the system architecture and its strategic implications for system development efforts.
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Terekhoff, Serge A. "Direct, inverse, and combined problems in complex engineered system modeling by artificial neural networks." In AeroSense '97, edited by Steven K. Rogers. SPIE, 1997. http://dx.doi.org/10.1117/12.271527.

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Hosseini, Seyedmohsen, Nita Yodo, and Pingfeng Wang. "Resilience Modeling and Quantification for Design of Complex Engineered Systems Using Bayesian Networks." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/detc2014-34558.

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The concept of engineering resilience has received prevalent attention from academia as well as industry because it contributes a new means of thinking about how to withstand against disruptions and recover properly from them. Although the concept of resilience was scholarly explored in diverse disciplines, there are only few which focus on how to quantitatively measure the engineering resilience. This paper is dedicated to explore the gap between quantitative and qualitative assessment of engineering resilience in the domain of design of complex engineered systems. A conceptual framework is first proposed for the modeling of engineering resilience, and then Bayesian network is employed as a quantitative tool for the assessment and analysis of engineering resilience for complex systems. A case study related to electric motor supply chain is employed to demonstrate the proposed approach. The proposed resilience quantification and analysis approach using Bayesian networks would empower system designers to have a better grasp of the weakness and strength of their own systems against system disruptions induced by adverse failure events.
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Reports on the topic "Complex engineered system"

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Szymanski, John. About the Complex Natural and Engineered Systems Pillar. Office of Scientific and Technical Information (OSTI), February 2021. http://dx.doi.org/10.2172/1765861.

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Wilson, D., Daniel Breton, Lauren Waldrop, Danney Glaser, Ross Alter, Carl Hart, Wesley Barnes, et al. Signal propagation modeling in complex, three-dimensional environments. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40321.

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The Signal Physics Representation in Uncertain and Complex Environments (SPRUCE) work unit, part of the U.S. Army Engineer Research and Development Center (ERDC) Army Terrestrial-Environmental Modeling and Intelligence System (ARTEMIS) work package, focused on the creation of a suite of three-dimensional (3D) signal and sensor performance modeling capabilities that realistically capture propagation physics in urban, mountainous, forested, and other complex terrain environments. This report describes many of the developed technical capabilities. Particular highlights are (1) creation of a Java environmental data abstraction layer for 3D representation of the atmosphere and inhomogeneous terrain that ingests data from many common weather forecast models and terrain data formats, (2) extensions to the Environmental Awareness for Sensor and Emitter Employment (EASEE) software to enable 3D signal propagation modeling, (3) modeling of transmitter and receiver directivity functions in 3D including rotations of the transmitter and receiver platforms, (4) an Extensible Markup Language/JavaScript Object Notation (XML/JSON) interface to facilitate deployment of web services, (5) signal feature definitions and other support for infrasound modeling and for radio-frequency (RF) modeling in the very high frequency (VHF), ultra-high frequency (UHF), and super-high frequency (SHF) frequency ranges, and (6) probabilistic calculations for line-of-sight in complex terrain and vegetation.
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Hossain, Niamat Ullah Ibne, Raed Jaradat, Michael Hamilton, Charles Keating, and Simon Goerger. A historical perspective on development of systems engineering discipline : a review and analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40259.

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Since its inception, Systems Engineering (SE) has developed as a distinctive discipline, and there has been significant progress in this field in the past two decades. Compared to other engineering disciplines, SE is not affirmed by a set of underlying fundamental propositions, instead it has emerged as a set of best practices to deal with intricacies stemming from the stochastic nature of engineering complex systems and addressing their problems. Since the existing methodologies and paradigms (dominant pat- terns of thought and concepts) of SE are very diverse and somewhat fragmented. This appears to create some confusion regarding the design, deployment, operation, and application of SE. The purpose of this paper is 1) to delineate the development of SE from 1926-2017 based on insights derived from a histogram analysis, 2) to discuss the different paradigms and school of thoughts related to SE, 3) to derive a set of fundamental attributes of SE using advanced coding techniques and analysis, and 4) to present a newly developed instrument that could assess the performance of systems engineers. More than Two hundred and fifty different sources have been reviewed in this research in order to demonstrate the development trajectory of the SE discipline based on the frequency of publication.
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Haring, Christopher, and David Biedenharn. Channel assessment tools for rapid watershed assessment. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40379.

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Existing Delta Headwaters Project (DHP) watershed stabilization studies are focused on restoration and stabilization of degraded stream systems. The original watershed studies formerly under the Demonstration Erosion Control (DEC) Project started in the mid 1980s. The watershed stabilization activities are continuing, and because of the vast number of degraded watersheds and limited amount of yearly funding, there is a need for developing a rapid watershed assessment approach to determine which watersheds to prioritize for further work. The goal of this project is to test the FluvialGeomorph (FG) toolkit to determine if the Rapid Geomorphic Assessment approach can identify channel stability trends in Campbell Creek and its main tributary. The FG toolkit (Haring et al. 2019; Haring et al. 2020) is a new rapid watershed assessment approach using high-resolution terrain data (Light Detection and Ranging [LiDAR]) to support U.S. Army Corps of Engineers (USACE) watershed planning. One of the principal goals of the USACE SMART (Specific Measureable Attainable Risk-Informed Timely) Planning is to leverage existing data and resources to complete studies. The FG approach uses existing LiDAR to rapidly assess either reach-specific analysis for smaller more focused studies or larger watersheds or ecosystems. The rapid assessment capability can reduce the time and cost of planning by using existing information to complete a preliminary watershed assessment and provide rapid results regarding where to focus more detailed study efforts.
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Ebeling, Robert, and Barry White. Load and resistance factors for earth retaining, reinforced concrete hydraulic structures based on a reliability index (β) derived from the Probability of Unsatisfactory Performance (PUP) : phase 2 study. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/39881.

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This technical report documents the second of a two-phase research and development (R&D) study in support of the development of a combined Load and Resistance Factor Design (LRFD) methodology that accommodates geotechnical as well as structural design limit states for design of the U.S. Army Corps of Engineers (USACE) reinforced concrete, hydraulic navigation structures. To this end, this R&D effort extends reliability procedures that have been developed for other non-USACE structural systems to encompass USACE hydraulic structures. Many of these reinforced concrete, hydraulic structures are founded on and/or retain earth or are buttressed by an earthen feature. Consequently, the design of many of these hydraulic structures involves significant soil structure interaction. Development of the required reliability and corresponding LRFD procedures has been lagging in the geotechnical topic area as compared to those for structural limit state considerations and have therefore been the focus of this second-phase R&D effort. Design of an example T-Wall hydraulic structure involves consideration of five geotechnical and structural limit states. New numerical procedures have been developed for precise multiple limit state reliability calculations and for complete LRFD analysis of this example T-Wall reinforced concrete, hydraulic structure.
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