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Relevant bibliographies by topics / Multiscale strategy

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Academic literature on the topic 'Multiscale strategy'

Author: Grafiati

Published: 23 November 2024

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Journal articles on the topic "Multiscale strategy"

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Favela, Luis H. "Journal of Multiscale Neuroscience." Journal of Multiscale Neuroscience 2, no. 1 (April 28, 2023): 240–51. http://dx.doi.org/10.56280/1567939485.

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Neuroscience has become a big data enterprise. This is due in large part to the rapidly growing quantity and quality of data and increased appreciation of non-neuronal physiology and environments in explaining behavior, cognition, and consciousness. One way neuroscience is dealing with this embarrassment of riches is by appealing to investigative frameworks that put the multiscale nature of neural systems at the forefront. The current work offers one such approach: Nested dynamical modeling, a strategy for creating models of phenomena comprised of multiple spatial and/or temporal scales for purposes of exploration, explanation, and understanding. Building from dynamical systems theory and synergetics, nested dynamical modeling applies a methodological approach aimed at nesting models at one scale of inquiry within models at other scales without compromising biological realism. This strategy is demonstrated via a proof of concept. Some consequences this approach has for the epistemological and theoretical commitments of neuroscience are discussed.

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Yan-Bo, SUN, YANG Bin, AN Zhe, YU Chun-Lei, XUE Yao-Hong, and LIU Hong. "Multiscale Simulation Strategy for Preparing Polyurethane." Acta Physico-Chimica Sinica 30, no. 11 (2014): 2035–42. http://dx.doi.org/10.3866/pku.whxb201409111.

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Krishnan, Arun, and Karlene A. Hoo. "A Multiscale Model Predictive Control Strategy." Industrial & Engineering Chemistry Research 38, no. 5 (May 1999): 1973–86. http://dx.doi.org/10.1021/ie980658+.

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Boucard, P. A., S. Buytet, and P. A. Guidault. "A multiscale strategy for structural optimization." International Journal for Numerical Methods in Engineering 78, no. 1 (April 2, 2009): 101–26. http://dx.doi.org/10.1002/nme.2484.

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Wang, Zhuang, Martina G. Vijver, and Willie J. G. M. Peijnenburg. "Multiscale Coupling Strategy for Nano Ecotoxicology Prediction." Environmental Science & Technology 52, no. 14 (June 27, 2018): 7598–600. http://dx.doi.org/10.1021/acs.est.8b02895.

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Heidebrecht, Peter, Matthias Pfafferodt, and Kai Sundmacher. "Multiscale modelling strategy for structured catalytic reactors." Chemical Engineering Science 66, no. 19 (October 2011): 4389–402. http://dx.doi.org/10.1016/j.ces.2011.03.052.

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Raynal, L., A. Gomez, B. Caillat, and Y. Haroun. "CO2Capture Cost Reduction: Use of a Multiscale Simulations Strategy for a Multiscale Issue." Oil & Gas Science and Technology – Revue d’IFP Energies nouvelles 68, no. 6 (September 12, 2013): 1093–108. http://dx.doi.org/10.2516/ogst/2012104.

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Hajibeygi, H., and H. A. A. Tchelepi. "Compositional Multiscale Finite-Volume Formulation." SPE Journal 19, no. 02 (November 20, 2013): 316–26. http://dx.doi.org/10.2118/163664-pa.

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Summary The multiscale finite-volume (MSFV) method is extended to include compositional processes in heterogeneous porous media, which require accurate modeling of the mass transfer and associated phase behaviors. A sequential-implicit strategy is used to deal with the coupling of the flow (pressure) and transport (component overall concentration) problems. In this compositional formulation, the overall continuity equation is used to formulate the pressure equation. The resulting pressure equation conserves total mass by construction and depends weakly on the distributions of the phase compositions. The transport equations are expressed in terms of the overall composition; hence, phase-appearance and -disappearance effects do not appear explicitly in these expressions. The details of the MSFV strategy for the pressure equation are described. The only source of error in this MSFV framework is the localization assumption. No additional assumptions related to the complex physics are used. For 1D problems, the sequential strategy is validated against solutions obtained by a fully implicit simulator. The accuracy of the MSFV method for compositional simulations is then illustrated for different test cases.

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Popov, Andrey M., Irina V. Lebedeva, Sergey A. Vyrko, and Nikolai A. Poklonski. "Multiscale modeling strategy to solve fullerene formation mystery." Fullerenes, Nanotubes and Carbon Nanostructures 29, no. 10 (March 22, 2021): 755–66. http://dx.doi.org/10.1080/1536383x.2021.1900124.

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Yan, Minghan, Jian Zhou, Cong Luo, Tingfa Xu, and Xiaoxue Xing. "Multiscale Joint Optimization Strategy for Retinal Vascular Segmentation." Sensors 22, no. 3 (February 7, 2022): 1258. http://dx.doi.org/10.3390/s22031258.

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The accurate segmentation of retinal vascular is of great significance for the diagnosis of diseases such as diabetes, hypertension, microaneurysms and arteriosclerosis. In order to segment more deep and small blood vessels and provide more information to doctors, a multi-scale joint optimization strategy for retinal vascular segmentation is presented in this paper. Firstly, the Multi-Scale Retinex (MSR) algorithm is used to improve the uneven illumination of fundus images. Then, the multi-scale Gaussian matched filtering method is used to enhance the contrast of the retinal images. Optimized by the Particle Swarm Optimization (PSO) algorithm, Otsu algorithm (OTSU) multi-threshold segmentation is utilized to segment the retinal image extracted by the multi-scale matched filtering method. Finally, the image is post-processed, including binarization, morphological operation and edge-contour removal. The test experiments are implemented on the DRIVE and STARE datasets to evaluate the effectiveness and practicability of the proposed method. Compared with other existing methods, it can be concluded that the proposed method can segment more small blood vessels while ensuring the integrity of vascular structure and has a higher performance. The proposed method has more obvious targets, a higher contrast, more plentiful detailed information, and local features. The qualitative and quantitative analysis results show that the presented method is superior to the other advanced methods.

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Dissertations / Theses on the topic "Multiscale strategy"

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Buch, Alok K. "An online strategy for wavelet based analysis of multiscale sensor data." [Tampa, Fla.] : University of South Florida, 2004. http://purl.fcla.edu/fcla/etd/SFE0000312.

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Chatagnon, Thomas. "Standing balance recovery strategies following external perturbations : a multiscale approach with applications to dense crowds." Electronic Thesis or Diss., Université de Rennes (2023-....), 2023. http://www.theses.fr/2023URENE007.

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Chaque année dans le monde on rapporte plusieurs accidents liés aux foules denses. Ces accidents peuvent entraîner des blessures et même des décès dans les cas les plus extrêmes. Les chutes dans les foules denses ont été observées comme l’un des éléments déclencheurs possibles de ces accidents. De telles chutes résultent des difficultés de recouvrement de l’équilibre postural dans ce contexte particulier. Cependant, les connaissances concernant l’équilibre postural dans ce contexte sont très limitées en raison de la nature complexe des environnements liés aux foules denses. Dans cette thèse, nous proposons une approche expérimentale pour étudier le rétablissement d’équilibre postural suite à des perturbations externes dans des environnements de foules humaines avec différents niveaux de densité. En particulier, comme les perturbations peuvent survenir de n’importe quelle direction dans les foules, nous étudions dans un premier temps la réaction d’individus isolés à des perturbations externes provenant de plusieurs directions. Nous proposons ensuite une méthode permettant de prédire les stratégies de recouvrement d’équilibre des participants sur la base d’informations cinématiques uniquement. Des expériences impliquant plusieurs individus sont par la suite étudiées. En particulier, nous avons étudié l’effet de la densité de la foule sur l’initiation et les caractéristiques des pas de récupération d’équilibre. Finalement, un nouveau paradigme expérimental a été proposé pour étudier l’équilibre postural en conditions réelles lors d’événements impliquant des foules denses. Cette approche a ensuite été utilisée au sein de foules durant des concerts de musique punk rock. Les résultats fournissent de nouvelles informations concernant la nature des interactions physiques et les stratégies de récupération d’équilibre utilisées dans ce contexte
Every year, several crowd accidents are reported around the world. These accidents can result in injuries and even fatalities. One of the triggering element of these accidents has been reported to result from falls associated with loss of standing balance in this dense crowd context. However, knowledge regarding human standing balance in dense crowd is very limited due the complex nature of this environment. In this thesis we proposed an experimental approach to study standing balance recovery of individuals following external perturbations in environments with different crowd density. In particular, as perturbation may occur from any direction in dense crowds we first study the reaction to single individuals to external perturbations arising from different directions. Based on the data collected during of this experiment, we were able to propose a method to predict participants’ recovery strategies following external perturbations based on kinematic information. Experiment involving multiple individuals were then considered. In particular, we study the effect of the crowd density on the initiation and the characteristics of recovery steps. Eventually, a novel experimental paradigm was proposed to study standing balance during real crowded events. This approach was then used within punk rock concert crowds. Results provided new insights regarding the physical interactions and recovery strategies observed in this context

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Patel, Manish. "A multiscale discrete model integration strategy for Systems Biology implemented in a grid-enabled software platform : an example application from cancer systems modelling." Thesis, University College London (University of London), 2008. http://discovery.ucl.ac.uk/1445871/.

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Model integration - the process by which different modelling efforts can be brought together to simulate the target system - is a core technology in the field of Systems Biology. In the work presented here model integration was addressed directly taking cancer systems as an example. An in-depth literature review was carried out to survey the model forms and types currently being utilised. This was used to formalise the main challenges that model integration poses, namely that of paradigm (the formalism on which a model is based), focus (the real-world system the model represents) and scale. A two-tier model integration strategy, including a knowledge-driven approach to address model semantics, was developed to tackle these challenges. In the first step a novel description of models at the level of behaviour, rather than the precise mathematical or computational basis of the model, is developed by distilling a set of abstract classes and properties. These can accurately describe model behaviour and hence describe focus in a way that can be integrated with behavioural descriptions of other models. In the second step this behaviour is decomposed into an agent-based system by translating the models into local interaction rules. These rules must be enriched and the agent model simulated, therefore a Grid-like Java infrastructure was developed and tested on an 18-node Beowulf cluster. The two-tier approach was tested on this software by taking 4 different models, each exhibiting complexities and submodels, that were successfully integrated and simulated together. The results showed all of the main challenges could be overcome given the correct conditions for rule enrichment, in this case implemented as a genetic algorithm that operated on rule components. This research represents a key breakthrough for cancer systems research. The two-tier approach could provide the tools necessary to understand tumour behavioural complexity and hence provide a means to combat the disease.

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Zeka, Donald. "Model reduction for nonlinear structural problems with multiple contact interfaces." Electronic Thesis or Diss., université Paris-Saclay, 2024. http://www.theses.fr/2024UPAST102.

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Malgré les progrès continus en mécanique du contact, la simulation d'une structure complexe avec de multiples interfaces de contact frottant nécessite toujours un coût de calcul élevé en raison de multiples sources de nonlinéarité: évolution du statut de contact et de frottement, dissipation par frottement, grands glissements et grandes déformations. Cela peut induire des limitations pour les applications industrielles impliquant des matériaux architecturés tels que les câbles spiralés comportant de nombreux fils en contact, souvent utilisés en ingénierie offshore, ce qui a motivé ce travail.Parmi les stratégies alternatives pour réduire les coûts de calcul, une solution attractive consiste à projeter le problème d'ordre complet sur une base d'ordre réduit du problème original par diverses techniques de réduction de modèle. Cependant, leur application aux problèmes de frottement reste une question ouverte, en particulier pour les cas impliquant de grandes propagations de fronts de glissement/adhérence.La stratégie proposée repose sur le solveur nonlinéaire LATIN (LArge Time INcrement) combiné à une réduction de modèle basée sur la Proper Generalized Decomposition (PGD). La LATIN présente un traitement robuste des conditions de contact et conduit naturellement à une méthode mixte de décomposition de domaine. Par ailleurs, la formulation spatio-temporelle globale de la méthode permet d'utiliser la réduction de modèle basée sur la PGD pendant les calculs, en créant et en enrichissant à la volée des bases réduites par sous-domaine afin de mieux suivre les fronts de glissement et les phénomènes de propagation. L'introduction d'une stratégie multiéchelle dans le cadre de la LATIN est cohérente avec la physique des problèmes de contact dans lesquels des phénomènes de longueurs d'onde différentes interagissent: les solutions locales aux interfaces de contact présentent des effets de gradient élevés avec une longueur d'onde courte par rapport à la longueur caractéristique de la structure. En tirant parti de ce fait, le problème grossier de la stratégie permet de capturer efficacement le comportement du problème à l'échelle de la structure, en se focalisant ensuite sur la capture des variations de contact locales aux interfaces de contact.Le point crucial de la thèse est que le modèle réduit doit représenter très fidèlement les informations critiques situées sur les interfaces de frottement entre les fils, qui sont cruciales pour l'évaluation de leur durée de vie en fatigue. L'objectif est de rechercher à maximiser les performances de réduction de modèle et la vitesse de convergence, tout en garantissant une évaluation précise des quantités d'interface. A cette fin, les critères de convergence pour la méthode de résolution nonlinéaire doivent assurer une bonne convergence pour les quantités de contact locales. De plus, une mise à jour appropriée des directions de recherche de la LATIN permet d'augmenter de manière significative la vitesse de convergence. Enfin, pour les problèmes très irréguliers tels que les problèmes de contact frottant, le contrôle de la qualité et de la taille des bases PGD construites progressivement le long des itérations de la LATIN est crucial pour l'efficacité de la méthode
Despite continuous progress in computational contact mechanics, simulating a complex structure with multiple frictional interfaces still requires a large computational cost due to multiple sources of nonlinearity: contact and friction status change, frictional dissipation, large sliding and finite deformations. This may induce limitations for industrial cases involving architectured materials such as spiral strand wire ropes with many wires in contact, often used in offshore engineering, which motivated this work.Among the alternative computational strategies to reduce calculation costs, an appealing one is to project the full-order problem on a reduced-order basis of the original problem through various model reduction techniques. However, their application to frictional problems remains an open question, especially for cases involving wide propagation of sliding/adhesion fronts.The proposed strategy relies on the LArge Time INcrement (LATIN) nonlinear solver combined with model reduction based on the Proper Generalized Decomposition (PGD). The LATIN presents a robust treatment of contact conditions and naturally leads to a mixed domain decomposition method. In addition, the global space-time formulation of the method allows PGD-based model reduction to be used during computations, creating and enriching on-the-fly reduced bases per substructure to better track sliding fronts and propagative phenomena. The introduction of a multiscale strategy in the LATIN framework is consistent with the physics of contact problems, in which phenomena with different wavelengths interact: local solutions at contact interfaces presents high gradient effects with a short wavelength compared to the characteristic length of the structure. By taking advantage of this, the coarse scale problem of the strategy enables to capture efficiently the behavior of the problem at the structural level, focusing then on capturing the local contact variations at the contact interfaces.The crucial point of the thesis is that the reduced model has to represent very faithfully the critical information located on the frictional interfaces between the wires, crucial for their fatigue life evaluation. The objective is to look for maximum reduction performances and convergence speed, while guaranteeing at the same time an accurate evaluation of the interface quantities. For this purpose, convergence criteria for the nonlinear solution method must assure a good convergence for local contact quantities. Moreover, a proper updating of the LATIN search directions can significantly increase the convergence speed. Finally, for highly irregular problems such as frictional contact problems, controlling the quality and size of progressively built PGD basis along the LATIN iterations is crucial for the efficiency of the method

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Tseng, Sheng-Chun, and 曾聖鈞. "GPU-Accelerated Scene Categorization under Multiscale Category-Specific Visual Word Strategy." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/89294618063658816290.

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碩士
國立中正大學
資訊工程研究所
99
Scene categorization acts as an essential part in many applications since scene type of an image provides abundant information for media analysis. As a popular image representation method approach, the bag of words (BoW) model is commonly used in describing scenes. However, a visual word may be generated from different objects in various categories, and discriminative capability of visual words may hence decrease. On the other hand, exhaustive computation makes processes inefficient, which is considered as a major bottleneck for the BoW model. In this thesis, we propose a fast scene categorization system which exploits Graphics Processing Unit (GPU) to conduct categorization. First, a multi-scaled feature extraction method is developed, which captures characteristics of a scene at both global and local levels. To increase discrimination, visual words are quantized in a category-specific manner. We also take advantage of GPUs to cope with the time-consuming problem. A decomposed Euclidean distance measurement is utilized to facilitate the parallel programming architecture. Several processes are implemented on the GPU, which are proven to be faster than the CPU versions in theory and in practice. Experiments show that time saving rate achieves 95.2%, 98.6% and 98.7% for feature extraction, feature clustering and visual word matching in our work, respectively. Furthermore, classification performance based on the GPU implementations is comparable with the CPU ones, which confirms that the proposed system is efficient and valuable in substance.

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Das, Biswapriyo. "Atom-to-circuit Modeling Strategy for 2d Transistors." Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4934.

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Two-dimensional materials are now being considered as viable options for CMOS (complementary metal-oxide-semiconductor) technology extension due to their diverse electronic and opto-electronic properties. However, introduction of any new material in the process integration phase of technology development in the semiconductor industry is an expensive and time-consuming affair. It is also difficult to select an appropriate 2D material from the plethora without assessing their performance at circuit level. Thus, first-principles-based multiscale models that enable systematic performance evaluation of emerging 2D materials at device and circuit levels solely from their crystallographic information are in great demand. In this thesis, such an atom-to-circuit modeling framework, addressing three different levels of abstraction (viz. material, device, and circuit), has been demonstrated. Firstly, the model was developed for a van der Waal’s heterostructure (vdWH) based all-2D metal-insulator-semiconductor field-effect transistor (MISFET), comprising of vertically stacked semi-metallic graphene, insulating hexagonal boron nitride (hBN) and semiconducting monolayer molybdenum disulphide (MoS2). Our physics-based compact model demonstrates the effects of band gap opening in graphene due to its sublattice symmetry breaking interactions with underlying hBN layer. This apart, proposed model captures the effects of semiconductor doping and the band gap variation of graphene at device and circuit levels. The model equations were thereafter implemented in a professional circuit simulator using its Verilog-A interface to facilitate design and simulation of integrated circuits. Secondly, the scope of the proposed model was further extended to capture the inertia of the charge carrier in 2D transistors operating at very high frequencies, typically greater than its intrinsic cut-off frequency. Taking phosphorene as a prototypical example, a multiscale model was developed for 2D transistors that can predict the channel-orientation-dependent high-frequency performance of devices and circuits solely from the crystallographic information of their constituent materials. The material-specific parameters obtained from density functional theory calculations were used to develop a continuity equation based non-quasi-static model to gain insight into the high-frequency behaviours. It was found that channel orientation has strong impact on both the low and high frequency transconductance parameters, however it affects only the high-frequency component of transcapacitances. The model was then implemented in industry-standard circuit simulator using the relaxation-time-approximation technique and simulations of analog and digital circuits were carried out to demonstrate its applicability for near cut-off frequency circuit operation. Finally, the idea was also exercised for modeling novel quantum materials like 2D topological insulators and it was shown that the proposed analytical approach could be useful for developing compact models of topological insulator field effect transistors. A Hamiltonian based continuum model was used to unveil the bandgap opening in the edge-state spectra of spatially confined monolayer 1T' molybdenum disulphide (MoS2), molybdenum diselenide (MoSe2), tungsten disulphide (WS2) and tungsten diselenide (WSe2). It was shown that the application of a perpendicular electric field effectuates a topological phase transition in these materials, and it can simultaneously modulate the band gaps of both bulk and edge-states for finite-width samples. The tuneable edge conductances, as obtained from the Landauer-Büttiker formalism, exhibit a monotonous increasing trend with applied electric field for deca nanometer MoS2, whereas the trend is opposite for other cases. The proposed multiscale modeling framework is ‘core’ in nature and various nonideal effects can further be included using suitable pre-correction techniques to establish a full-fledged industry-standard compact model. Since this model effectively bridges between atomistic material modeling tools and industrial design automation tools, it thereby promises solution to the design-technology co-optimization challenges for new materials.

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Books on the topic "Multiscale strategy"

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Wilson, Mark. Pragmatics’ Place at the Table. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198803478.003.0001.

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Physical events that transpire across many size scales require significant data compression for their successful handling. A popular remedy practiced within modern multiscalar methods breaks a descriptive task into sub-problems focused upon dominant behaviors that arise on different length scales. Each localized form of description employs the same language in different ways. This contextualization requires that these localized veins of description share data with one another in non-standard ways. We employ allied techniques in everyday life as well and philosophical confusions arise when the underlying strategic architecture is not properly recognized. Nine general morals concerning language usage are abstracted from this examination.

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Book chapters on the topic "Multiscale strategy"

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Zhang, Shu, Jinru Wu, Sigang Yu, Ruoyang Wang, Enze Shi, Yongfeng Gao, and Zhengrong Liang. "A Bagging Strategy-Based Multi-scale Texture GLCM-CNN Model for Differentiating Malignant from Benign Lesions Using Small Pathologically Proven Dataset." In Multiscale Multimodal Medical Imaging, 44–53. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-18814-5_5.

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Hackl, Klaus, and Dennis M. Kochmann. "An Incremental Strategy for Modeling Laminate Microstructures in Finite Plasticity – Energy Reduction, Laminate Orientation and Cyclic Behavior." In Multiscale Methods in Computational Mechanics, 117–34. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9809-2_7.

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Sakata, Sei-ichiro. "Adaptive Strategy for Stochastic Homogenization and Multiscale Stochastic Stress Analysis." In Multiscale Modeling and Uncertainty Quantification of Materials and Structures, 51–66. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-06331-7_4.

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Kuang, Lianfei, Guoqing Zhou, and Yazhou Zou. "A New Bottom-Up Strategy for Multiscale Studying of Clay Under High Stress." In Springer Series in Geomechanics and Geoengineering, 182–85. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-97112-4_41.

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Sliti, Tim, Markus Kästner, and Eduard Reithmeier. "Multiscale Measurement of Blade Geometries with Robot-Supported, Laser-Positioned Multi-sensor-Techniques." In Regeneration of Complex Capital Goods, 29–49. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-51395-4_3.

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AbstractThe regeneration of aircraft engine components requires a thorough assessment of the current condition. Based on this, a suitable repair strategy can be selected. To provide a measurement system, which can be used for the inspection of worn components, various optical measurement methods were combined to create a multi-sensor system. To completely reconstruct complex geometries a 6-axis industrial robot and an additional rotational axis are applied. This robot-assisted multi-sensor system is used to digitise and characterise turbine blades of aircraft engines. The inspection process is non-destructive and different features are measured to acquire a holistic model. The sensors are used to reconstruct the 3-D geometry in different scale ranges and characterise the surface based on reflection properties. Afterwards, the data of each individual sensor are transferred into a uniform coordinate system. To ensure high sensitivity to wear and damage, a model-based system calibration and a data interface for subsequent diagnostics and simulations are essential to provide a reliable assessment of the performance and durability of the inspected components.

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Everdij, Frank P. X., Oriol Lloberas-Valls, Angelo Simone, Daniel J. Rixen, and Lambertus J. Sluys. "Domain Decomposition and Parallel Direct Solvers as an Adaptive Multiscale Strategy for Damage Simulation in Quasi-Brittle Materials." In Lecture Notes in Computational Science and Engineering, 197–205. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18827-0_18.

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Liu, Jing, Laura Bowling, Christopher Kucharik, Sadia Jame, Uris Lantz C. Baldos, Larissa Jarvis, Navin Ramankutty, and Thomas W. Hertel. "Tackling Policy Leakage and Targeting Hot Spots Could Be Key to Addressing the “Wicked” Challenge of Nutrient Pollution from Corn Production in the United States." In SIMPLE-G, 217–33. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-68054-0_14.

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AbstractReducing nutrient loss from agriculture to improve water quality requires a combination of management practices. However, it has been unclear what pattern of mitigation is likely to emerge from different policies, individually and combined, and what are the impacts on land use and farm returns at both local and national levels. We address this research gap by developing an integrated multiscale framework that evaluates alternative nitrogen loss management policies for corn production in the United States. This approach combines site- and practice-specific agroecosystem processes with a grid-resolving economic model to identify locations that can be prioritized to increase the economic efficiency of the policies. We find that regional measures, while effective at reducing nitrogen loss locally, may inadvertently displace corn production to areas where nitrogen fertilizer productivity is lower and nutrient loss rates are higher, thereby offsetting the overall effectiveness of the nutrient management strategy. This spatial spillover effect can, however, be mitigated by combining regional measures with broader nationwide policies. For instance, the combination of wetland restoration, split fertilizer application and a nitrogen loss tax could reduce nitrate nitrogen loading in the Mississippi River by 30%, with only a modest increase in corn prices (less than 2%).

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Kashefi, Armin, and Faris Alwzinani. "Advancing Organizational Performance: A Strategic Framework to Multiscale Modeling and Simulation." In Computational Science – ICCS 2024, 429–36. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-63775-9_32.

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Lawlor, Paul, and Daniel Depellegrin. "Managing Land Sea Interactions: Case Studies of Coastal Governance in Four EU Member States." In Ocean Governance, 209–30. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-20740-2_9.

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AbstractUnder the Marine Strategy Framework Directive, EU member states are committed to delivering Good Environmental Status in EU marine and coastal areas but the risk of damage from land based pollutants is rising, along with increased economic uses and activities in marine and coastal areas. While it is accepted that land sea interactions need to be managed, and uses and activities in our marine and coastal areas must be regulated, the complexity and dynamic nature of land sea connections create challenges for governance systems. This chapter reviews the marine and coastal management systems in operation in Ireland, Romania, Spain and France. Using relevant case studies at national, sub national and local level, we assess their capacity to manage complex and dynamic land sea interactions. We further examine their ability to achieve integrated, multiscalar and cross sectoral governance of their marine and coastal areas. Recommendations to assist EU member states who are developing marine and coastal governance systems are also provided.

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Giaimo, Carolina, Benedetta Giudice, Giulio Gabriele Pantaloni, and Angioletta Voghera. "Ecosystem Services and Territorial Resilience: The Role of Green and Blue Infrastructure." In The Urban Book Series, 45–59. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-33894-6_4.

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AbstractResponding to the new environmental, ecological, and social emergencies requires a shift in strategies and urban design models. In the contexts of sustainability and resilience, green and blue infrastructure (GBI) is a wide-ranging concept that can help overcome the usual dichotomies of urban growth versus green or the built environment versus nature. This provides different benefits, both environmental and ecological and social and economic. In urban contexts, green spaces play a strategic role due to the number of typologies and functions that vary from neighborhood spaces to green, play, and sports facilities to protected areas of territorial scale. In this way, the planning and design of GBI take on the triple objective of regenerating fragile and degraded ecosystems from an environmental, social, and economic point of view. Focusing on this assumption, we describe how the GBI that develops along the axe of the Stura di Lanzo river in a multiscalar mosaic of soils at both local and territorial levels can determine options for the ecosystem quality of the metropolitan area of northern Turin. We suppose that mapping ecosystem services (based on a correct land use/land cover design) can support designing new urban and regional plans to improve resilience.

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Conference papers on the topic "Multiscale strategy"

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Hou, Anlin, Huan Liu, and Lingyun Luo. "4mCMS: a deep learning framework based on the multiscale encoding strategy to predict 4mC binding sites." In 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), edited by Pier Paolo Piccaluga, Ahmed El-Hashash, and Xiangqian Guo, 13. SPIE, 2024. http://dx.doi.org/10.1117/12.3044120.

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Panchal, Jitesh H., Hae-Jin Choi, Jim Shephard, Janet K. Allen, David L. McDowell, and Farrokh Mistree. "A Strategy for Simulation-Based Multiscale, Multi-Functional Products and Associated Design Processes." In ASME 2005 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2005. http://dx.doi.org/10.1115/detc2005-85316.

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Simulation Based Engineering Science (SBES) is an evolving interdisciplinary research area rooted in the methods for modeling multiscale, multi-physics events. The objective in SBES is to develop methodologies that are foundational to designing multiscale systems by accounting for phenomena at multiple scales of lengths and time. Some of the key challenges faced in SBES include lack of methods for bridging various time and length scales, management of models and uncertainty associated with them, management of huge amount and variety of information, and methods for efficient decision making based on the available models. Although efforts have been made to address some of these challenges for individual application domains, a domain independent framework for addressing these challenges associated with multiscale problems is not currently available in the literature. In this paper, we make a clear distinction between multiscale modeling and multiscale design. Multiscale modeling deals with efficient integration of information from multiscale models to gain a holistic understanding of the system, whereas multiscale design deals with efficient utilization of information to satisfy design objectives. Our focus in this paper is on multiscale design. In order to address the challenges associated with multiscale design, we propose a domain independent strategy that is based on understanding the generic interaction patterns between models at multiple scales. The design strategy outlined in this paper has as its foundation a systems-based approach for designing design processes (meta-design) and robust design. The concepts are illustrated with a multiscale design problem from materials domain.

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Corcoran, Padraig, and Adam Winstanley. "Watershed Segmentation Using a Multiscale Ramp Edge Merging Strategy." In International Machine Vision and Image Processing Conference (IMVIP 2007). IEEE, 2007. http://dx.doi.org/10.1109/imvip.2007.29.

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Williams, Christopher, Alison Malcolm, and J. Kim Welford. "A multiscale full-waveform inversion strategy for sparse wide-angle datasets." In SEG Technical Program Expanded Abstracts 2019. Society of Exploration Geophysicists, 2019. http://dx.doi.org/10.1190/segam2019-3214858.1.

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Hao, Chuangbo, Ping Song, Jiangpeng Wu, and Cheng Yang. "Multiscale cycle synchronization strategy for WSN based on firefly-inspired algorithm." In 2015 IEEE International Conference on Information and Automation (ICIA). IEEE, 2015. http://dx.doi.org/10.1109/icinfa.2015.7279563.

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Chu, Wei-Ta, and Sheng-Chung Tseng. "GPU-accelerated scene categorization under multiscale category-specific visual word strategy." In ICASSP 2012 - 2012 IEEE International Conference on Acoustics, Speech and Signal Processing. IEEE, 2012. http://dx.doi.org/10.1109/icassp.2012.6288026.

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Choi, Joonmyung, Hyunseong Shin, and Maenghyo Cho. "An interphase design strategy for multifunctional polymer nanocomposites using multiscale method." In 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2015. http://dx.doi.org/10.2514/6.2015-0128.

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Safatly, Elias, Mathilde Chevreuil, and Anthony Nouy. "Multiscale Model Reduction for the Solution of Stochastic Partial Differential Equations With Localized Sources of Uncertainties." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82389.

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The presence of numerous localized sources of uncertainties in stochastic models leads to high dimensional and multiscale problems. A numerical strategy is here proposed to propagate the uncertainties through such models. It is based on a multiscale domain decomposition method that exploits the localized side of uncertainties. The separation of scales has the double benefit of improving the conditioning of the problem as well as the convergence of tensor based methods (namely Proper Generalized Decomposition methods) used within the strategy for the separated representation of high dimensional stochastic parametric solutions.

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Cui, Chao, Jianping Huang, and ZhenChun Li. "A multiscale full-waveform inversion strategy using the damping filter in time domain." In SPG/SEG 2016 International Geophysical Conference, Beijing, China, 20-22 April 2016. Society of Exploration Geophysicists and Society of Petroleum Geophysicists, 2016. http://dx.doi.org/10.1190/igcbeijing2016-176.

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Hao, Pengcheng, Danni Ai, Liugeng Zang, Jingfan Fan, and Jian Yang. "Color Restoration Method for Endoscope Image Using Multiscale Discriminator Based Model Compression Strategy." In 2022 7th International Conference on Computational Intelligence and Applications (ICCIA). IEEE, 2022. http://dx.doi.org/10.1109/iccia55271.2022.9828438.

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