Relevant bibliographies by topics / Model of intermediate complexity

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Academic literature on the topic 'Model of intermediate complexity'

Author: Grafiati
Published: 9 June 2023

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Journal articles on the topic "Model of intermediate complexity"

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Edwards, Neil R., David Cameron, and Jonathan Rougier. "Precalibrating an intermediate complexity climate model." Climate Dynamics 37, no. 7-8 (2010): 1469–82. http://dx.doi.org/10.1007/s00382-010-0921-0.

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Gutmann, Ethan, Idar Barstad, Martyn Clark, Jeffrey Arnold, and Roy Rasmussen. "The Intermediate Complexity Atmospheric Research Model (ICAR)." Journal of Hydrometeorology 17, no. 3 (2016): 957–73. http://dx.doi.org/10.1175/jhm-d-15-0155.1.

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Abstract With limited computational resources, there is a need for computationally frugal models. This is particularly the case for atmospheric sciences, which have long relied on either simplistic analytical solutions or computationally expensive numerical models. The simpler solutions are inadequate for many problems, while the cost of numerical models makes their use impossible for many problems, most notably high-resolution climate downscaling applications spanning large areas, long time periods, and many global climate projections. Here the Intermediate Complexity Atmospheric Research model (ICAR) is presented to provide a new step along the modeling complexity continuum. ICAR leverages an analytical solution for high-resolution perturbations to wind velocities, in conjunction with numerical physics schemes, that is, advection and cloud microphysics, to simulate the atmosphere. The focus of the initial development of ICAR is for predictions of precipitation, and eventually temperature, humidity, and radiation at the land surface. Comparisons between ICAR and the Weather Research and Forecasting (WRF) Model for simulations over an idealized mountain are presented, as well as among ICAR, WRF, and the Parameter-Elevation Regressions on Independent Slopes Model (PRISM) observation-based product for a year-long simulation over the Colorado Rockies. In the ideal simulations, ICAR matches WRF precipitation predictions across a range of environmental conditions with a coefficient of determination r2 of 0.92. In the Colorado Rockies, ICAR, WRF, and PRISM show very good agreement, with differences between ICAR and WRF comparable to the differences between WRF and PRISM in the cool season. For these simulations, WRF required 140–800 times more computational resources than ICAR.
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Roy, Manojit, Karin Harding, and Robert D. Holt. "Generalizing Levins metapopulation model in explicit space: Models of intermediate complexity." Journal of Theoretical Biology 255, no. 1 (2008): 152–61. http://dx.doi.org/10.1016/j.jtbi.2008.07.022.

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Lehmann, B., D. Gyalistras, M. Gwerder, K. Wirth, and S. Carl. "Intermediate complexity model for Model Predictive Control of Integrated Room Automation." Energy and Buildings 58 (March 2013): 250–62. http://dx.doi.org/10.1016/j.enbuild.2012.12.007.

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Holden, P. B., N. R. Edwards, K. Fraedrich, E. Kirk, F. Lunkeit, and X. Zhu. "PLASIM-GENIE: a new intermediate complexity AOGCM." Geoscientific Model Development Discussions 8, no. 12 (2015): 10677–710. http://dx.doi.org/10.5194/gmdd-8-10677-2015.

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Abstract. We describe the development, tuning and climate of PLASIM-GENIE, a new intermediate complexity Atmosphere–Ocean Global Climate Model (AOGCM), built by coupling the Planet Simulator to the GENIE earth system model. PLASIM-GENIE supersedes "GENIE-2", a coupling of GENIE to the Reading IGCM. It has been developed to join the limited number of models that bridge the gap between EMICS with simplified atmospheric dynamics and state of the art AOGCMs. A 1000 year simulation with PLASIM-GENIE requires approximately two weeks on a single node of a 2.1 GHz AMD 6172 CPU. An important motivation for intermediate complexity models is the evaluation of uncertainty. We here demonstrate the tractability of PLASIM-GENIE ensembles by deriving a "subjective" tuning of the model with a 50 member ensemble of 1000 year simulations.
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Gushchina, D. Yu, B. Dewitte, and S. A. Korkmazova. "Intraseasonal tropical variability in an intermediate complexity atmospheric model." Russian Meteorology and Hydrology 35, no. 4 (2010): 237–52. http://dx.doi.org/10.3103/s1068373910040011.

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Holden, Philip B., Neil R. Edwards, Klaus Fraedrich, Edilbert Kirk, Frank Lunkeit, and Xiuhua Zhu. "PLASIM–GENIE v1.0: a new intermediate complexity AOGCM." Geoscientific Model Development 9, no. 9 (2016): 3347–61. http://dx.doi.org/10.5194/gmd-9-3347-2016.

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Abstract. We describe the development, tuning and climate of Planet Simulator (PLASIM)–Grid-ENabled Integrated Earth system model (GENIE), a new intermediate complexity Atmosphere–Ocean General Circulation Model (AOGCM), built by coupling the Planet Simulator to the ocean, sea-ice and land-surface components of the GENIE Earth system model. PLASIM–GENIE supersedes GENIE-2, a coupling of GENIE to the Reading Intermediate General Circulation Model (IGCM). The primitive-equation atmosphere includes chaotic, three-dimensional (3-D) motion and interactive radiation and clouds, and dominates the computational load compared to the relatively simpler frictional-geostrophic ocean, which neglects momentum advection. The model is most appropriate for long-timescale or large ensemble studies where numerical efficiency is prioritised, but lack of data necessitates an internally consistent, coupled calculation of both oceanic and atmospheric fields. A 1000-year simulation with PLASIM–GENIE requires approximately 2 weeks on a single node of a 2.1 GHz AMD 6172 CPU. We demonstrate the tractability of PLASIM–GENIE ensembles by deriving a subjective tuning of the model with a 50-member ensemble of 1000-year simulations. The simulated climate is presented considering (i) global fields of seasonal surface air temperature, precipitation, wind, solar and thermal radiation, with comparisons to reanalysis data; (ii) vegetation carbon, soil moisture and aridity index; and (iii) sea surface temperature, salinity and ocean circulation. Considering its resolution, PLASIM–GENIE reproduces the main features of the climate system well and demonstrates usefulness for a wide range of applications.
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Perry, Joe N. "Host-Parasitoid Models of Intermediate Complexity." American Naturalist 130, no. 6 (1987): 955–57. http://dx.doi.org/10.1086/284759.

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Moore, J. Keith, Scott C. Doney, Joanie A. Kleypas, David M. Glover, and Inez Y. Fung. "An intermediate complexity marine ecosystem model for the global domain." Deep Sea Research Part II: Topical Studies in Oceanography 49, no. 1-3 (2001): 403–62. http://dx.doi.org/10.1016/s0967-0645(01)00108-4.

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Ehrendorfer, Martin, and Ronald M. Errico. "An atmospheric model of intermediate complexity for data assimilation studies." Quarterly Journal of the Royal Meteorological Society 134, no. 636 (2008): 1717–32. http://dx.doi.org/10.1002/qj.329.

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Dissertations / Theses on the topic "Model of intermediate complexity"

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Hosoe, Taro. "Stability of the global thermohaline circulation in an intermediate complexity ocean model." Thesis, University of Southampton, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.401832.

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Tolwinski-Ward, Susan E. "Inference on Tree-Ring Width and Paleoclimate Using a Proxy Model of Intermediate Complexity." Diss., The University of Arizona, 2012. http://hdl.handle.net/10150/241975.

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Forward and inverse modeling studies of the relationship between tree ring width and bivariate climate are performed using a model called VS-Lite. The monthly time-step model incorporates two simple but realistic nonlinearities in its description of the transformation of climate variability into ring width index. These features ground VS-Lite in scientific principles and make it more complex than empirically-derived statistical models commonly used to simulate tree ring width. At the same time, VS-Lite is vastly simpler and more efficient than pre-existing numerical models that simulate detailed biological aspects of tree growth. A forward modeling validation study shows that VS-Lite simulates a set of observed chronologies across the continental United States with comparable or better skill than simulations derived from a standard, linear regression based approach. This extra skill derives from VS-Lite's basis in mechanistic principles, which makes it more robust than the statistical methodology to climatic nonstationarity. A Bayesian parameterization approach is also developed that incorporates scientific information into the choice of locally optimal VS-Lite parameters. The parameters derived using the scheme are found to be interpretable in terms of the climate controls on growth, and so provide a means to guide applications of the model across varying climatologies. The first reconstructions of paleoclimate that assimilate scientific understanding of the ring width formation process are performed using VS-Lite to link the proxy data to potential climate histories. Bayesian statistical methods invert VS-Lite conditional on a given dendrochronolgy to produce probabilistic estimates of local bivariate climate. Using VS-Lite in this manner produces skillful estimates, but does not present advantages compared another set of probabilistic reconstructions that invert a simpler, linear, empirical forward model. This result suggests that future data-assimilation based reconstructions will need to integrate as many data sources as possible, both across space and proxy types, in order to benefit from information provided by mechanistic models of proxy formation.
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Angeloni, Michela <1993&gt. "Climate variability in an Earth system Model of Intermediate Complexity: from interannual to centennial timescales." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amsdottorato.unibo.it/10152/1/plasim.pdf.

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This thesis explores the climate mean state and climate variability repro- duced by atmosphere-ocean coupled configurations of the Planet Simulator (PlaSim), an Earth-system Model of Intermediate Complexity (EMIC). In particular, the sensitivity to variations in oceanic parameters is explored in three atmosphere-ocean coupled configurations: using a simple mixed-layer (ML) ocean at two horizontal resolutions (T21 - 600 km and T42 - 300 km) or a more complex dynamical ocean, the Large Scale Geostrophic (LSG) ocean, at T21 atmospheric horizontal resolution. Sensitivity experiments allow to identify a reference oceanic diffusion coefficient in the ML ocean and a vertical oceanic diffusion profile in LSG, which ensure a simulated climate in good agreement with the present climate. For each model configuration, the Equilibrium Climate Sensitivity (ECS) is estimated from simulations with an increased CO2 concentration compared to pre-industrial simulations. The resulting ECS values are higher than values estimated in other EMICs or models of the Coupled Intercomparison Project Phase 5 (CMIP5) and Phase 6 (CMIP6), especially in the PlaSim-ML configurations. The climate variability of the model is then explored on different timescales, from the centennial to the interannual one.
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Biro, Daniel. "Towards intermediate complexity systems biology models of bacterial growth and evolution." Thesis, Yeshiva University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10798623.

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<p> Modern biological research is currently canalized into two main modes of research: detailed, mechanistic descriptions, or big data collection and statistical descriptions. The former has the advantage of being conceptually tractable and fitting into an existing scientific paradigm. However, these detailed descriptions can suffer from an inability to be understood in the larger context of biological phenomena. On the other hand, the big data approaches, while closer to being able to capture the full depth of biological complexity, are limited in their ability to impart conceptual understanding to researchers. We put forward examples of an intermediate approach. The goal of this approach is to develop models which can be understood as abstractions of biological phenomena, while simultaneously being conducive to modeling and computational approaches. Firstly, we attempt to examine the phenomenon of modularity. Modularity is an ubiquitous phenomenon in biological systems, but its etiology is poorly understood. It has been previously shown that organisms that evolved in environments with lower levels of stability tend to display more modular organization of their gene regulatory networks, although theoretical predictions have failed to account for this. We put forward a neutral evolutionary model, where we posit the process of genome expansion through gene duplications acts as a driver for the evolution of modularity. This process occurs through the duplication of regulatory elements alongside the duplication of a gene, causing sub-networks to be generated which are more tightly coupled internally than externally, which gives rise to a modular architecture. Finally, we also generate an experimental system by which we can verify our model of the evolution of modularity. Using a long term experimental evolution setup, we evolve <i>E. coli</i> under fluctuating temperature environments for 600 generations in order to test if there is a measurable increase in the modularity of the gene regulatory networks of the organisms. This data will also be used in the future to test other hypotheses related to evolution under fluctuating environments. The second such model is a computational model of the properties of bacterial growth as a function of temperature. We describe a model composed of a chain of enzyme like actions, where the output of each enzyme in the chain becomes the substrate of the following enzyme. Using well known temperature dependence curves for enzyme activity and no further assumptions, we are then able to replicate the salient properties of bacterial growth curves at varying temperatures, including lag time, carrying capacity, and growth rate. Lastly, we extend these models to attempt to describe the ability of cancer cells to alter their phenotypes in ways that would be impossible for normal cells. We term this model the <i>phenotypically pliant cells</i> model and show that it can encapsulate important aspects of cancer cell behavior.</p><p>
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Grancini, Carlo. "Initial validation of an agile coupled atmosphere-ocean general circulation model." Master's thesis, Alma Mater Studiorum - Università di Bologna, 2022. http://amslaurea.unibo.it/25439/.

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Mathematical models based on physics, chemistry and biology principles are one of the main tools to understand climate interactions, variability and sensitivity to forcings. Model performance must be validated checking that results are consistent with actual/observed climate. This work describes the initial validation of a new intermediate complexity, coupled climate model based on a set of existing atmosphere, ocean and sea-ice models. The model, developed and made available by the International Centre for Theoretical Physics (ICTP), is based on the widely used SPEEDY atmospheric model. Limited literature is available for its version, coupled to the NEMO ocean model referred to as SPEEDY-NEMO. The focus of this study is on the adaptation and validation of this model. A long-term spin-up run with constant present-day forcing has been performed to achieve a steady-state climate. The simulated climate has then been compared with observations and reanalyses of the recent past. The initial validation has shown that simulations spanning a thousand years can be easily run. The model does not require many h/w resources and therefore significant size samples can be generated if needed. Our results prove that long timescale, stable simulations are feasible. The model reproduces the main features of Earth’s mean climate and variability, despite the use of a fairly limited resolution grid, simple parameterizations and a limited range of physical processes. Ocean model outputs have not been assessed. However, a clear El Niño signal in the simulated Sea Surface Temperatures (SSTs) data and arctic sea ice extent show that the ocean model behaviour is close to observations. According to the results, the model is a promising tool for climate studies. However, to understand its full potential the validation should be improved and extended with an analysis of ocean variables and targeted simulations with modified conditions to evaluate model behaviour under different conditions
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Simmons, Christopher. "An investigation of carbon cycle dynamics since the last glacial maximum using a climate model of intermediate complexity." Thesis, McGill University, 2014. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=121260.

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The University of Victoria Earth System Climate Model (UVic ESCM) v. 2.9 is used in this thesis to investigate two important topics in paleoclimate research: the glacial-to-interglacial rise in CO2 and the Holocene carbon cycle. The UVic ESCM belongs to a class of models known as Earth system Models of Intermediate Complexity (EMICs) (Claussen et al. 2002) and provides a simplified yet comprehensive representation of the climate system and carbon cycle dynamics, including a three-dimensional ocean model, a dynamic-thermodynamic sea ice model, a dynamic global vegetation model, ocean sediments, and a fully-interactive inorganic and organic carbon cycle in the ocean. First, a suite of transient simulations were conducted to cover the period from the Last Glacial Maximum (LGM) to the present (2000 A.D). Simulations including only prescribed orbital forcing and continental ice sheet changes failed to produce an increase in atmospheric CO2 for the simulation period, although they demonstrated significant long-term sensitivity (10-15 ppm) to small (1.9 Tmol yr-1) variations in the weathering rate. Modelling experiments incorporating the full CO2 radiative forcing effect since the Last Glacial Maximum, however, resulted in much higher CO2 concentrations (a 20 ppm increase over those without CO2 radiative forcing) due to a greater ventilation of deep-ocean DIC and decreased oceanic CO2 uptake, related in part to a larger decrease in southern hemisphere sea ice extent. The more thorough ventilation of the deep ocean in simulations with CO2 radiative forcing also caused a larger net alkalinity decrease during the late deglacial and interglacial, allowing atmospheric CO2 to increase by an additional 10 ppm in the simulations presented here. The inclusion of a high latitude terrestrial carbon reservoir provided a net release of carbon to the atmosphere, mostly during the early deglacial, increasing atmospheric CO2 levels to 240-250 ppm. This terrestrial release also provided better agreement with observed changes in carbonate concentrations in the deep ocean since the LGM (Yu et al. 2010). The addition of freshwater fluxes from ice sheet melting in North America added emphasis on the importance of a lower weathering rate during the LGM and early deglacial and indicated that deep water in the North Pacific may become more positively buoyant during freshwater fluxes in the Atlantic due to greater diffusion of heat to the deep ocean by enhanced Pacific intermediate water formation.Second, our results for the Holocene carbon cycle indicate that atmospheric CO2 should decrease between 6000 B.C. and 2000 A.D. without some kind of external forcing not represented in the model. However, the amount of the decrease (8-15 ppm) varied for different ocean circulation states. Furthermore, our simulations demonstrated significant sensitivity to Antarctic marine ice shelves, and these results indicate that more extensive marine ice shelves during the Holocene (relative to previous interglacials) may increase atmospheric CO2 levels by ~5 ppm (from purely physical mechanisms) and as much as 10 ppm when different ocean circulation states or alkalinity changes are included. Adding various anthropogenic land use scenarios to the Holocene carbon cycle were unable to explain the CO2 trend, accounting for only a third of the ice core CO2 increase by 1 A.D. in our most extreme scenario. However, the results imply that external mechanisms leading to a decrease in alkalinity during the Holocene (such as declining weathering rates, more extensive marine ice shelves, terrestrial uptake, more calcifiers, coral reef expansion, etc.) may prevent the ocean from absorbing more of the anthropogenic terrestrial release, allowing the deforestation flux to balance a greater fraction of the Holocene peatland uptake (not modelled) and permitting CO2 to increase from oceanic processes that are normally overwhelmed by northern peatlands.<br>Cette thèse détaille l'application du modèle du système climatique terrestre de l'Université de Victoria (version 2.9) dans le cadre de deux importants champs de recherche en modélisation paléoclimatique : l'augmentation du niveau de dioxyde de carbone (CO2) dans l'atmosphère durant la plus récente transition glaciaire-interglaciaire, ainsi que l'évolution du cycle du carbone durant l'Holocène. Le modèle utilisé dans cette étude est répertorié comme modèle de complexité intermédiaire (Claussen et al. 2002), offrant un traitement à la fois simplifié et exhaustif de la dynamique du système climatique terrestre et du cycle du carbone. Celui-ci comprend un modèle océanique tridimensionnel, un modèle de glace marine dynamique/thermodynamique, un modèle dynamique et global de la végétation, les sédiments océaniques ainsi qu'un traitement interactif du cycle du carbone organique et inorganique.Premièrement, une série de simulations transitoires sont effectuées afin de couvrir la période s'étendant du plus récent maximum glaciaire (LGM) jusqu'à aujourd'hui (2000 apr. J.-C.). Les simulations fondées uniquement sur une prescription des paramètres orbitaux et des calottes glaciaires ne reproduisent pas l'augmentation du CO2 dans l'atmosphère durant la période transitoire tel que mentionné ci-haut, mais exposent toutefois une certaine sensibilité (10-15 ppm) à de faibles (1.9 Tmol/an) variations dans le taux d'érosion. Dans le cas de simulations prenant en compte la gamme complète des effets radiatifs associés au CO2, par contre, la concentration du CO2 dans l'atmosphère s'avère beaucoup plus élevée (une augmentation de 20 ppm par rapport à celles sans effets radiatifs). Cette différence est causée par une plus importante ventilation de carbone inorganique dissous en eaux profondes ainsi qu'une diminution du taux d'absorption de CO2 par l'océan, qui s'explique en partie par une fonte accélérée de la glace marine dans l'hémisphère Sud. Le changement du régime de ventilation en profondeur a également pour effet de diminuer l'alcalinité marine à partir de la fin de la période de déglaciation, augmentant de 10ppm la concentration de CO2 dans l'atmosphère. La présence d'un réservoir de carbone terrestre an hautes latitudes fournit une source additionnelle de carbone, principalement durant les stages initiaux de la période de déglaciation, permettant ainsi aux niveaux de CO2 dans l'atmosphère d'atteindre les 240-250 ppm. En outre, ceci facilite la validation de nos résultats par rapport aux changements dans la concentration de carbonate observées depuis le dernier maximum glaciaire dans les profondeurs marines (Yu et al. 2010). Le faible taux d'érosion terrestre durant le maximum glaciaire et la période de déglaciation qui a suivi est d'autant plus significatif en raison d'un apport accru d'eau douce de fonte en provenance des calottes glaciaires Nord-Américaines. Deuxièmement, nos résultats quant au cycle du carbone durant l'Holocène pointent vers une certaine diminution du niveau de CO2 dans l'atmosphère se manifestant vers 6000 av. J.-C. et qui, en l'absence de forçage externe au modèle, devrait se maintenir jusqu'à aujourd'hui ; celle-ci semble toutefois varier (8-15 ppm) en fonction du mode de circulation océanique. De plus, la concentration atmosphérique de CO2 dans nos simulations démontre une importante sensibilité à l'étendue des barrières de glace en Antarctique, d'où notre conclusion qu'une présence accrue de glace marine durant l'Holocène (par rapport aux autres périodes interglaciaires) pourrait augmenter le niveau de CO2 atmosphérique de près de 5 ppm (effets physiques directs), et de pas moins de 10 ppm en considérant la gamme de modes de circulation océanique ainsi que les changements dans l'alcalinité marine.
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Hoar, Mark Robert. "Statistical downscaling from an earth system model of intermediate complexity to reconstruct past climate gradients across the British Isles." Thesis, University of East Anglia, 2003. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396707.

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Gomes, Hélène. "Gestion écosystémique et durabilité des pêcheries artisanales tropicales face aux changements globaux." Electronic Thesis or Diss., Guyane, 2022. http://www.theses.fr/2022YANE0004.

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Les changements globaux induisent de grandes pressions sur les écosystèmes marins, leurbiodiversité et les pêcheries qui en dépendent. Dans ce contexte, de nombreux scientifiquesprônent l'utilisation de l'approche écosystémique pour la gestion de pêches (AEGP). Néanmoins,la manière d’opérationnaliser l’AEGP reste controversée. La thèse apporte des éclairages surl’opérationnalisation de cette dernière pour les pêcheries côtières tropicales.Pour ce faire, nous proposons un modèle de complexité intermédiaire (MICE) multi-espèces,multi-flottilles et multi-critères, prenant en compte les impacts des changements globaux. Lemodèle est calibré pour la pêcherie artisanale côtière guyanaise. A l'échelle guyanaise, leréchauffement climatique, l'augmentation de population humaine et les variations de surface dela mangrove sont considérés comme les déterminants majeurs du changement global. A partirdu modèle calibré, plusieurs stratégies de pêche et scénarios environnementaux sont comparésà long terme. Dans ce cadre, des premiers résultats publiés (chapitre 3) montrent le rôle négatifdu changement climatique à la fois sur la biodiversité marine et la production halieutique. Cestravaux mettent également en évidence le rôle majeur de la compétition entre espèces depoissons. Puis dans le chapitre 4 en comparant les résultats bio-économiques obtenus pourchaque stratégie de pêche, ces travaux mettent en lumière l’intérêt de stratégies d’éco-viabilitéen termes de durabilité et de réconciliation écologico-économique. Les derniers résultatsprésentés dans cette thèse, au chapitre 5, soulignent l’impact positif de la mangrove, bienqu’insuffisant pour compenser l’impact négatif du réchauffement climatique, sur la durabilitéécologico-économique de la pêche côtière. Au-delà de ces résultats, cette thèse apporte unesérie de contributions transversales importantes. En premier lieu, sur le plan méthodologique,ces travaux permettent d'exposer les avantages des MICE pour la mise en place de l’AEGP.Ensuite, en mettant en évidence les facteurs écologiques majeurs de l'écosystème avec d'unepart l'interaction de compétition et d'autre part les filtres environnementaux, les travauxéclairent les complexités écologiques nécessaires à l’AEGP. Enfin, en évaluant et comparant lesperformances écologico-économiques de différentes stratégies de pêche, ces travauxpermettent d'ébaucher des politiques publiques pour avancer vers la durabilité de la pêcheriecôtière guyanaise et vers l’AEGP face aux changements globaux<br>Global changes induce high pressure on marine ecosystems, biodiversity and fisheries. In thatregard many scientists advocate the use of an ecosystem-based fisheries management (EBFM).However, the operationalization of such an ecosystem-based approach remains challenging. Thisthesis gives insight into the operationalization of EBFM for tropical coastal fisheries. To achievethat we propose a multi-species, multi-fleet and multi-criteria model of intermediate complexity(MICE), taking into account the impacts of global changes. The model is calibrated for theGuyanese small-scale coastal fishery. At local scale, global warming, the increase of populationand the variations of mangrove surface are considered as the main drivers of global changes.From the calibrated model, several fishing management strategies and environmental scenariosare compared in the long-run. In this context, the first results published (chapter 3) show thedetrimental impact of climate change on both marine biodiversity and fishery production. Thispaper also highlights the major role of ecological competition between species. Then, in thechapter 4, by comparing the bio-economic results obtained under each fishing managementstrategy, this research demonstrates the interest of Ecoviability strategies in terms ofsustainability and ecologico-economic reconciliation. The last results displayed in this thesis, inchapter 5, underline the positive impact of mangrove on ecologico-economic sustainability of thecoastal fishery, even if it is insufficient to balance the negative impact of warming. Beyond theseresults, this thesis brings a series of important transverse contributions. First, methodologically,this research permits to show the benefits of MICE to operationalize EBFM. Then, by highlightingthe major ecological factors of the ecosystem with on the one hand the interaction ofcompetition and on the other hand the environmental filters, the work sheds light on theecological complexities necessary for the EBFM. Finally, by evaluating and comparing theecologico-economic performances of several fishing strategies, this research permits to outlinepolicy recommendations to move towards the sustainability of the Guyanese coastal fishery andtowards EBFM, in the face of global changes
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Schuster, Swetlana. "Lexical gaps and morphological complexity : the role of intermediate derivational steps." Thesis, University of Oxford, 2018. http://ora.ox.ac.uk/objects/uuid:41346813-951f-4284-9fe1-39bc2231999b.

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In this thesis, we present a multi-method investigation of how lexical gaps, defined here as morphologically and phonologically viable formations, are processed in derivational chains. Due to a focus on the processing of single-affixed words in the experimental literature, little is known about the role of intermediate steps of derivation during morphological decomposition. In a series of four behavioural experiments, we show that while all morphologically well-formed items activate a base word that is two derivational steps away, speakers are sensitive to the internal composition of visually matched novel forms. Items like *Spitzung (spitz &GT; spitzen &GT; *Spitzung) primed their stem more than pseudowords containing two lexical gaps in their derivational chain such as hübsch &GT; *hübschen &GT; *Hübschung. Similar patterns emerged in an ERP (Event-related potentials) experiment using cross-modal priming: novel forms in the *Spitzung set displayed significantly stronger attenuation of the N400 response to the target spitz than items for which the intermediate position in the derivational chain is a lexical gap such as *Hübschung, thereby demonstrating a stronger link between pairs without a lexical gap in the intermediate position. Building on previous neuroimaging research on the processing of derivational depth in morphological complexity (cf. Meinzer et al., 2009; Pliatsikas et al., 2014), we subsequently turned to a functional magnetic resonance imaging investigation of the neural correlates of morphological complexity processing with lexical gaps. Both sets of pseudowords showed greater activation in the left inferior frontal gyrus relative to existing complex words as an index of prolonged lexical search. A direct comparison between the two sets of novel forms revealed stronger activation in the right superior parietal lobule and precuneus for pseudowords with lexical gaps in the intermediate position. These findings lend support to the idea that morphological decomposition involves the inspection of intermediate levels of morphological composition as a stepwise procedure that is informed by the structural rules of the language.
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Laurence, Harold A. IV. "An exploratory study of cognitive complexity at a military intermediate service school." Diss., Kansas State University, 2015. http://hdl.handle.net/2097/20515.

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Doctor of Philosophy<br>Educational Leadership<br>Sarah Jane Fishback<br>The military devotes significant resources and time in the development of officers through education. Recently, there has been a great deal of emphasis placed on military Intermediate Service Schools (ISS’s) to enhance the ability of graduates to think with greater cognitive complexity in order to solve the kinds of problems they may face after graduation. The military environment in which these mid-career officer students will serve is highly complex and requires a significant ability to generate solutions to unique and complex problems. One hallmark of a developmental adult educational experience is the advancement of the student to higher levels of cognitive complexity. The purpose of this research was to determine if there was a relationship between the cognitive complexity of faculty, students, and expectations for student graduates, at a military Intermediate Service School. Along with the simultaneous measure of cognitive complexity, via a survey administration of the LEP instrument, the researcher also developed a technique for translating learning objectives from Blooms taxonomy into a corresponding Perry position. This translation method was used to translate the college learning objectives into an expected Perry position for graduates of the college. The study also included demographic data to look for significant results regarding a number of independent variables. For faculty only these included teaching department, years of teaching experience, age, and military status. For both populations the variables studied included education level, gender, combat experience and combat trauma, branch of service, commissioning source, and years of active duty service. The study found that the mean cognitive complexity of entering students (CCI = 360) was lower than the cognitive complexity required of graduates (CCI = 407). However, the faculty mean cognitive complexity (CCI = 398) was not significantly different from a student graduate. The faculty results indicated that there were no statistically significant relations between the independent variables studied and the measured cognitive complexity. For students there was a statistically significant relation between measured cognitive complexity and gender.
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Books on the topic "Model of intermediate complexity"

1

E, Arnold Jeanne, ed. Emergent complexity: The evolution of intermediate societies. International Monographs in Prehistory, 1996.

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A, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. National Aeronautics and Space Administration, Ames Research Center, 1988.

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LeRoy, Ward J., ed. Program management complexity: A competency model. Auerbach Publications, 2011.

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Lomas, Dennis Ray. Model-driven object recognition: Complexity issues. National Library of Canada = Bibliothèque nationale du Canada, 1992.

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A, Mnich Marc, Ames Research Center, and United States. Army Aviation Research and Technology Activity., eds. Minimum-complexity helicopter simulation math model. National Aeronautics and Space Administration, Ames Research Center, 1988.

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Lomas, Dennis R. Model-driven object recognition: Complexity issues. University of Toronto, Dept. of Computer Science, 1992.

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Caballero, Ricardo J. Fire sales in a model of complexity. Massachusetts Institute of Technology, Dept. of Economics, 2009.

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Gorban, Alexander N., and Dirk Roose, eds. Coping with Complexity: Model Reduction and Data Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-14941-2.

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Dirk, Roose, and SpringerLink (Online service), eds. Coping with Complexity: Model Reduction and Data Analysis. Springer-Verlag Berlin Heidelberg, 2011.

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Kaplow, Louis. A model of the optimal complexity of rules. National Bureau of Economic Research, 1992.

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Book chapters on the topic "Model of intermediate complexity"

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Haslbeck, Maximilian P. L., and Peter Lammich. "For a Few Dollars More." In Programming Languages and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-72019-3_11.

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AbstractWe present a framework to verify both, functional correctness and worst-case complexity of practically efficient algorithms. We implemented a stepwise refinement approach, using the novel concept of resource currencies to naturally structure the resource analysis along the refinement chain, and allow a fine-grained analysis of operation counts. Our framework targets the LLVM intermediate representation. We extend its semantics from earlier work with a cost model. As case study, we verify the correctness and $$O(n\log n)$$ O ( n log n ) worst-case complexity of an implementation of the introsort algorithm, whose performance is on par with the state-of-the-art implementation found in the GNU C++ Library.
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Ganopolski, Audrey, and Stefan Rahmstorf. "Stability and Variability of the Thermohaline Circulation in the Past and Future: a Study with a Coupled Model of Intermediate Complexity." In Geophysical Monograph Series. American Geophysical Union, 2013. http://dx.doi.org/10.1029/gm126p0261.

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Huybrechts, P., H. Goelzer, I. Janssens, et al. "Response of the Greenland and Antarctic Ice Sheets to Multi-Millennial Greenhouse Warming in the Earth System Model of Intermediate Complexity LOVECLIM." In The Earth's Cryosphere and Sea Level Change. Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2063-3_7.

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Di Cosmo, Lucio. "Plot Level Estimation Procedures and Models." In Springer Tracts in Civil Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-98678-0_6.

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AbstractQuantitative variable raw data recorded in the sample plots require pre-processing before the NFI estimators of totals and densities can be used to produce statistics. The objective of the plot level estimates is to estimate the variables of interest for each sample point expanded to the 1 km2 area of the cell that the point represents. The intensity and complexity of the computations vary considerably depending on the variable, the way it is obtained by the measured items (e.g., DBH measurement vs. basal area), whether all the items in the sample plot or only a subsample of them are measured, and the availability of models. The definitive result of the computations are tallies, volumes, biomass and carbon stocks but estimates of additional variables at intermediate steps may be needed (e.g., total tree height). This chapter describes the methods and the models used in INFC2015 for the estimation of the variables related to trees (e.g., tallies, basal area), small trees and shrubs (e.g., biomass, carbon stock), stumps (e.g., volume, biomass), stock variation (e.g., the wood annually produced by growth and that removed). Some of the models described were produced in view of the INFC needs, before and after it was established in 2001, while others were created during the NFI computation processes. Finally, the conversion factors needed to estimate the biomass of deadwood, saplings and shrubs were obtained through an additional field campaign of the second Italian NFI (INFC2005) and the following laboratory analyses.
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Cassaigne, Julien. "Constructing Infinite Words of Intermediate Complexity." In Developments in Language Theory. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/3-540-45005-x_15.

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Miller, Christopher J., Nathaniel J. Jellinek, Ali Damavandy, Jeremy R. Etzkorn, Joseph F. Sobanko, and Thuzar M. Shin. "Basic and Intermediate Complexity Nail Procedures." In Scher and Daniel's Nails. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-65649-6_34.

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Golosovsky, Michael. "Model Validation." In SpringerBriefs in Complexity. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28169-4_5.

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Nelles, Oliver. "Model Complexity Optimization." In Nonlinear System Identification. Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-662-04323-3_7.

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Nelles, Oliver. "Model Complexity Optimization." In Nonlinear System Identification. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-47439-3_7.

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Salimov, Paul V. "Constructing Infinite Words of Intermediate Arithmetical Complexity." In Language and Automata Theory and Applications. Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-00982-2_59.

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Conference papers on the topic "Model of intermediate complexity"

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Rouson, Damian, Ethan D. Gutmann, Alessandro Fanfarillo, and Brian Friesen. "Performance portability of an intermediate-complexity atmospheric research model in coarray Fortran." In SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis. ACM, 2017. http://dx.doi.org/10.1145/3144779.3169104.

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van Leeuwen, Peter Jan. "Efficient nonlinear data assimilation for oceanic models of intermediate complexity." In 2011 IEEE Statistical Signal Processing Workshop (SSP). IEEE, 2011. http://dx.doi.org/10.1109/ssp.2011.5967700.

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Casini, Luca, and Bob L. T. Sturm. "Tradformer: A Transformer Model of Traditional Music Transcriptions." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/681.

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We explore the transformer neural network architecture for modeling music, specifically Irish and Swedish traditional dance music. Given the repetitive structures of these kinds of music, the transformer should be as successful with fewer parameters and complexity as the hitherto most successful model, a vanilla long short-term memory network. We find that achieving good performance with the transformer is not straightforward, and careful consideration is needed for the sampling strategy, evaluating intermediate outputs in relation to engineering choices, and finally analyzing what the model learns. We discuss these points with several illustrations, providing reusable insights for engineering other music generation systems. We also report the high performance of our final transformer model in a competition of music generation systems focused on a type of Swedish dance.
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Tonon, Fulvio, Ha-Rok Bae, Ramana Grandhi, and Chris Pettit. "Using Random Set Theory to Calculate Reliability Bounds in Situations of Little Information: An Application to a Finite Element Intermediate Complexity Wing Model." In 45th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics & Materials Conference. American Institute of Aeronautics and Astronautics, 2004. http://dx.doi.org/10.2514/6.2004-1583.

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Armstrong, Laura, Sarah Baxter, and Philip A. Voglewede. "Simplified Model of the Knee as a 2-Dimensional Spring Mechanism." In ASME 2008 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/detc2008-49797.

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The knee joint is a very complex joint stabilized by two opposing sets of ligaments. A mathematical model of the knee with an appropriate level of complexity and accuracy is needed for valid and useful static or dynamic analysis. Existing work has focused on the knee as either a one degree of freedom pin joint (simple) or based on a more complex sliding motion of two surfaces (complex). In this work, MATLAB and Working Model© were used to design three intermediate level models describing the motion of the knee assuming only movement in the sagittal plane by changing the shape of the tibial plateau (flat, concave, or convex). From these, it was determined that the simple flat model, while not perfect, most appropriately modeled the knee joint.
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Thompson, Thomas V., and Elaine Cohen. "Direct Haptic Rendering of Complex Trimmed NURBS Models." In ASME 1999 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/imece1999-0015.

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Abstract The most accurate haptic rendition of a virtual model is produced when the haptic algorithm acts directly on the actual model and not an intermediate representation. In the modeling and design communities the de facto model representation standard is NURBS. Further, more powerful systems provide trimming and adjacency information within the models representation. This additional information permits more complex models to be expressed succinctly but also increases the complexity of representation. In this paper we present an algorithm that supports direct haptic rendering of models constructed from trimmed NURBS surfaces. Our distributed system links an advanced modeling system to a force-reflecting device. In addition, we present extensions to the algorithm which support model manipulation, dimensioned probes, and multi-probe contact.
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Chatterjee, Riju, Ashutosh Patel, Nirmal Kumar, and Pramod Kumar. "Semi-Analytical Model for High-Speed Rotor Whirl Prediction: An Assumed Modes Formulation for an Axisymmetric Rotor With Non-Uniform Properties." In ASME Turbo Expo 2022: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/gt2022-82632.

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Abstract Most fully analytical treatments of rotor whirl are restricted to very simple rotor geometries, and have limited use while studying real-world rotors. Analysis of more complex rotors is routinely carried out in Finite Element software such as Ansys, but this is less effective at generating fundamental insights to inform the design process. This paper is motivated by the ongoing development of a Supercritical-CO2 turbine rotor, and illustrates a rotor model of intermediate complexity. Such a model, given the relative novelty of the turbine design task stemming from the very high rotational speeds required, will improve confidence in rotordynamic simulations and is expected to help with any future troubleshooting. The approach used is to consider the rotor’s rigidity and inertia to vary along its length as functions of spatial coordinate x, and obtain predictions of whirl speeds through a Lagrangian formulation with assumed modes. This method can accommodate axisymmetric rotors with variation in cross-section or material properties, or both. It is first demonstrated on a simple and analytically tractable rotor geometry. Then, it is applied to a simplified version of the turbine rotor, whose properties’ x-dependence is approximated by curves fit to a small number of datapoints obtained from simpler (non-rotordynamic) simulations.
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Wang, Ming-Tzong. "An Object-Oriented Feature-Based CAD/CAPP/CAM Integration Framework." In ASME 1991 Design Technical Conferences. American Society of Mechanical Engineers, 1991. http://dx.doi.org/10.1115/detc1991-0076.

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Abstract This paper presents an object-oriented feature-based CAD/CAPP/CAM integration framework in a concurrent engineering environment. The framework which is still under development at Yuan-Ze’s automation center is a layered hierarchy based on an object-oriented feature-based part model. The part model serves as a central database for design, process planning, and manufacturing related activities. Feature-based design approach in conjunction with feature recognition approach is incorporated in this integration framework. This dual approach can balance overall computational efficiency and modeling complexity of the interface between design and process planning. There are three levels at the process planning stage : primary level, secondary level and detailing level. The primary level is concerned with the issues of intermediate shape generation. At the secondary process planning level the intermediate specifications of features and workpieces are determined. The detailing level elaborates on the selection of corresponding facilities and parameters for each manufacturing operation. This manufacturing information is used to drive the downstream CAM activities such as NC part programming, production control and scheduling, operation setup and so forth.
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Copstein, Bernardo, and Flávio Oliveira. "Automated Test Script Generation for Model-Based Testing." In Simpósio Brasileiro de Qualidade de Software. Sociedade Brasileira de Computação - SBC, 2005. http://dx.doi.org/10.5753/sbqs.2005.16167.

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Statistical testing based on a usage model is a key technique for realistic reliability estimation. Since this technique requires large samples (test suites), test execution is automated via scripts and script-based execution engines. However, such scripts are too complex to design manually, both because of the sample size and the complexity of the usage model, which is normally represented with a Markov chain. At the CPTS (Software Testing Research Center), we developed an approach that automates two steps of script design: test suite generation and converting test cases into scripts. The only manual step is the usage model design, which is represented in two models: a stochastic automata network (SAN) for representing the usage model and an intermediate model (called the Interface Event-State Model) to map the abstract usage model into the implemented interface components. SANs allow modular representation of systems with complex non-eterministic behavior, minimizing the state-space explosion found in Markov chains. The use of a separate model for the implementation has the advantage of making changes in the interface and generating the script automatically without affecting the abstract usage model. We implemented the technique into the STAGE environment; the experiments indicate that the modeling task takes less than one day for a typical model with 420 global states and 8 days for one with over 200.000 global states, while the test suite and script generation takes less than 1 minute. Also, the performance of test case and script generation with SANs is at least compatible with Markov-based generation.
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Heymans, Nicole. "Implementation of Fractional Calculus Using Hierarchical Models: Application to the Terminal Transition of a Complex Polymer." In ASME 2003 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2003. http://dx.doi.org/10.1115/detc2003/vib-48396.

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Hierarchical viscoelastic elements whose behaviour is intermediate between linear elasticity and Newtonian viscosity (springpots) are incorporated into classical analog models describing linear viscoelastic behaviour. This approach is extended in the present work to describe the terminal transition from self-similar viscoelasticity to pure flow. Tschoegl’s formulation of a finite Gross Marvin ladder model is generalized and applied to other models, and this approach is compared with Friedrich’s method based on application of an exponentiel cutoff to the relaxation function. The method is illustrated using dynamic mechanical measurements on a triblock adhesive in isothermal frequency sweeps. This material displays thermorheological complexity precluding application of time-temperature superposition. Tschoegl’s formulation affords a better description of this material than Friedrich’s approach. The method described here is a useful alternative to time-temperature superposition requiring a limited number of adjustable parameters.
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Reports on the topic "Model of intermediate complexity"

1

Molavi, Pooya, Alireza Tahbaz-Salehi, and Andrea Vedolin. Model Complexity, Expectations, and Asset Prices. National Bureau of Economic Research, 2021. http://dx.doi.org/10.3386/w28408.

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HARRIS, RICHARD N., WILLIAM F. CHAMBERS, and DONALD J. BRAGG JR. Server Complexity, A Model for Managing Resources. Office of Scientific and Technical Information (OSTI), 1999. http://dx.doi.org/10.2172/791876.

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Belloch, Guy, and John Greiner. A Parallel Complexity Model for Functional Languages. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada288589.

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Caballero, Ricardo, and Alp Simsek. Fire Sales in a Model of Complexity. National Bureau of Economic Research, 2009. http://dx.doi.org/10.3386/w15479.

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Kaplow, Louis. A Model of the Optimal Complexity of Rules. National Bureau of Economic Research, 1992. http://dx.doi.org/10.3386/w3958.

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Lutz, Carsten, Ulrike Sattler, and Lidia Tendera. The Complexity of Finite Model Reasoning in Description Logics. Technische Universität Dresden, 2002. http://dx.doi.org/10.25368/2022.123.

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We analyze the complexity of finite model reasoning in the description logic ALCQI, i.e. ALC augmented with qualifying number restrictions, inverse roles, and general TBoxes. It turns out that all relevant reasoning tasks such as concept satisfiability and ABox consistency are EXPTIME-complete, regardless of whether the numbers in number restrictions are coded unarily or binarily. Thus, finite model reasoning with ALCQI is not harder than standard reasoning with ALCQI.
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Dey, Samrat Kumar, Syed Salauddin Mohammad Tariq, Md Shariful Islam, and Golam Md Muradul Bashir. Cognitive complexity: A model for distributing equivalent programming problems. Peeref, 2023. http://dx.doi.org/10.54985/peeref.2304p6816072.

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Neiman, Brent. A State-Dependent Model of Intermediate Goods Pricing. National Bureau of Economic Research, 2010. http://dx.doi.org/10.3386/w16283.

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Freund, Robert M., and Jorge Veraz. Equivalence of Convex Problem Geometry and Computational Complexity in the Separation Oracle Model. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada495929.

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Zhang, Ye. Final Report: Optimal Model Complexity in Geological Carbon Sequestration: A Response Surface Uncertainty Analysis. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1417199.

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