Literatura académica sobre el tema "Heterogenous domain"
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Artículos de revistas sobre el tema "Heterogenous domain"
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Hauge, Mariann, Lars Landmark, Piotr Łubkowski, Marek Amanowicz y Krzysztof Maślanka. "Selected Issues of QoS Provision in Heterogenous Military Networks". International Journal of Electronics and Telecommunications 60, n.º 1 (1 de marzo de 2014): 1–7. http://dx.doi.org/10.2478/eletel-2014-0001.
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Abstract Tactical ad-hoc networks are evolving today towards complex heterogeneous networks in terms of architecture, protocols and security. Due to the difference in network resources and reliability, end-to-end quality of service provisioning becomes very challenging. If we also take into account communication issues such as unpredictable connectivity, preferential forwarding for special traffic classes, intermittency due to node or communication link failure, the problem is further aggravated. In this article, we examine the major challenges that must be solved in order to provide efficient QoS provisioning in the heterogeneous network. Finally we describe QoS-aware mechanisms for inter-domain and intra-domain heterogeneous networks, also including real-time services provision in highly mobile environments.
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Du, Dehui, Tong Guo y Yao Wang. "DSML4CS". International Journal of Web Services Research 17, n.º 2 (abril de 2020): 59–75. http://dx.doi.org/10.4018/ijwsr.2020040104.
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Cyber physical systems (CPS's) are a kind of complex system with highly integrated interaction between computing resources and physical environment in a network environment. There are some challenges in modeling and simulation of heterogeneous CPS due to its hybrid and heterogenous characteristics. To address the issue, we propose an executable domain specific modeling language for co-simulation (DSML4CS) to model the co-simulation of CPS. According to the construction method of domain modeling language, we present the abstract syntax, concrete syntax and operational semantics of DSML4CS. We also propose a flexible co-simulation mechanism, which supports partial step revision of specific co-simulation process with the state event fault-tolerant mechanism. The co-simulation language for heterogeneous CPS is implemented based on the GEMOC platform. Our aim is to provide the co-simulation service in CPS. The usability of DSML4CS is illustrated with a case study of a temperature control system in an energy-aware building.
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McCormack, Emmet, Maja Mujić, Tereza Osdal, Øystein Bruserud y Bjørn Tore Gjertsen. "Multiplexed mAbs: a new strategy in preclinical time-domain imaging of acute myeloid leukemia". Blood 121, n.º 7 (14 de febrero de 2013): e34-e42. http://dx.doi.org/10.1182/blood-2012-05-429555.
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Key Points Multiplexing antibodies against common human epitopes all labeled with the same fluorophore facilitates optical imaging of heterogenous AML. Multiplexing fluorescently labeled monoclonal antibodies permits optical imaging of primary patient xenograft pathology/therapy response.
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Pencheva, Svetla P. y Emilyan A. Ivanov. "Ultrastructural Study of the Synaptic Glomeruli in the Rat’s Cochlear Nucleus". Journal of Biomedical and Clinical Research 6, n.º 1 (1 de septiembre de 2013): 3–6. http://dx.doi.org/10.1515/jbcr-2015-0095.
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SummaryThe granule cell domain of the cochlear nuclear complex contains interneurons, which are the targets for nonprimary auditory inputs from the superior olivary complex, inferior colliculus, auditory cortex, cuneate and trigeminal nuclei of the somatosensory system. The cellular targets of the non-primary projections are unknown due to a lack of information regarding postsynaptic profiles in the granule cell areas. In the present paper, we examined the synaptic relationships between a heterogeneous class of large synaptic terminals, called mossy fibers and their targets within subdivisions of the granule cell domain. During the late stage of postnatal development, we observed heterogenous groups of complex synaptic glomeruli. Using electron microscopy, we provide evidence for ultrastructural features of dendrites that receive input from the mossy fibers. The distinct synaptic relations between mossy fibers and dendrites of microneurons further imply fundamentally separate roles in processing of acoustic signals.
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Huang, Lan, Yuanwei Zhao, Bo Wang, Dongxu Zhang, Rui Zhang, Subhashis Das, Simone Bocca y Fausto Giunchiglia. "Property-Based Semantic Similarity Criteria to Evaluate the Overlaps of Schemas". Algorithms 14, n.º 8 (17 de agosto de 2021): 241. http://dx.doi.org/10.3390/a14080241.
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Knowledge graph-based data integration is a practical methodology for heterogeneous legacy database-integrated service construction. However, it is neither efficient nor economical to build a new cross-domain knowledge graph on top of the schemas of each legacy database for the specific integration application rather than reusing the existing high-quality knowledge graphs. Consequently, a question arises as to whether the existing knowledge graph is compatible with cross-domain queries and with heterogenous schemas of the legacy systems. An effective criterion is urgently needed in order to evaluate such compatibility as it limits the quality upbound of the integration. This research studies the semantic similarity of the schemas from the aspect of properties. It provides a set of in-depth criteria, namely coverage and flexibility, to evaluate the pairwise compatibility between the schemas. It takes advantage of the properties of knowledge graphs to evaluate the overlaps between schemas and defines the weights of entity types in order to perform precise compatibility computation. The effectiveness of the criteria obtained to evaluate the compatibility between knowledge graphs and cross-domain queries is demonstrated using a case study.
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Yang, Hongyong, Fujun Han, Mei Zhao, Shuning Zhang y Jun Yue. "Distributed containment control of heterogeneous fractional-order multi-agent systems with communication delays". Open Physics 15, n.º 1 (3 de agosto de 2017): 509–16. http://dx.doi.org/10.1515/phys-2017-0058.
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AbstractBecause many networked systems can only be characterized with fractional-order dynamics in complex environments, fractional-order calculus has been studied deeply recently. When diverse individual features are shown in different agents of networked systems, heterogeneous fractional-order dynamics will be used to describe the complex systems. Based on the distinguishing properties of agents, heterogeneous fractional-order multi-agent systems (FOMAS) are presented. With the supposition of multiple leader agents in FOMAS, distributed containment control of FOMAS is studied in directed weighted topologies. By applying Laplace transformation and frequency domain theory of the fractional-order operator, an upper bound of delays is obtained to ensure containment consensus of delayed heterogenous FOMAS. Consensus results of delayed FOMAS in this paper can be extended to systems with integer-order models. Finally, numerical examples are used to verify our results.
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Xu, Can, Yonggang Wu, Zhigang Zheng y Longkun Tang. "Partial locking in phase-oscillator populations with heterogenous coupling". Chaos: An Interdisciplinary Journal of Nonlinear Science 32, n.º 6 (junio de 2022): 063106. http://dx.doi.org/10.1063/5.0093318.
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We consider a variant of the mean-field model of coupled phase oscillators with uniform distribution of natural frequencies. By establishing correlations between the quenched disorder of intrinsic frequencies and coupling strength with both in- and out-coupling heterogeneities, we reveal a generic criterion for the onset of partial locking that takes place in a domain with the coexistence of phase-locked oscillators and drifters. The critical points manifesting the instability of the stationary states are obtained analytically. In particular, the bifurcation mechanism of the equilibrium states is uncovered by the use of frequency-dependent version of the Ott–Antonsen reduction consistently with the analysis based on the self-consistent approach. We demonstrate that both the manner of coupling heterogeneity and correlation exponent have influence on the emergent patterns of partial locking. Our research could find applicability in better understanding the phase transitions and related collective phenomena involving synchronization control in networked systems.
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Iqbal, Masab, Luis Velasco, Marc Ruiz, Nelson Costa, Antonio Napoli, Joao Pedro y Jaume Comellas. "Supporting Heterogenous Traffic on Top of Point-to-Multipoint Light-Trees". Sensors 23, n.º 5 (23 de febrero de 2023): 2500. http://dx.doi.org/10.3390/s23052500.
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New 5 G and beyond services demand innovative solutions in optical transport to increase efficiency and flexibility and reduce capital (CAPEX) and operational (OPEX) expenditures to support heterogeneous and dynamic traffic. In this context, optical point-to-multipoint (P2MP) connectivity is seen as an alternative to provide connectivity to multiple sites from a single source, thus potentially both reducing CAPEX and OPEX. Digital subcarrier multiplexing (DSCM) has been shown as a feasible candidate for optical P2MP in view of its ability to generate multiple subcarriers (SC) in the frequency domain that can be used to serve several destinations. This paper proposes a different technology, named optical constellation slicing (OCS), that enables a source to communicate with multiple destinations by focusing on the time domain. OCS is described in detail and compared to DSCM by simulation, where the results show that both OCS and DSCM provide a good performance in terms of the bit error rate (BER) for access/metro applications. An exhaustive quantitative study is afterwards carried out to compare OCS and DSCM considering its support to dynamic packet layer P2P traffic only and mixed P2P and P2MP traffic; throughput, efficiency, and cost are used here as the metrics. As a baseline for comparison, the traditional optical P2P solution is also considered in this study. Numerical results show that OCS and DSCM provide a better efficiency and cost savings than traditional optical P2P connectivity. For P2P only traffic, OCS and DSCM are utmost 14.6% more efficient than the traditional lightpath solution, whereas for heterogeneous P2P + P2MP traffic, a 25% efficiency improvement is achieved, making OCS 12% more efficient than DSCM. Interestingly, the results show that for P2P only traffic, DSCM provides more savings of up to 12% than OCS, whereas for heterogeneous traffic, OCS can save up to 24.6% more than DSCM.
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Damarell, Raechel A., Deidre D. Morgan, Jennifer J. Tieman y David Healey. "Bolstering General Practitioner Palliative Care: A Critical Review of Support Provided by Australian Guidelines for Life-Limiting Chronic Conditions". Healthcare 8, n.º 4 (11 de diciembre de 2020): 553. http://dx.doi.org/10.3390/healthcare8040553.
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General practitioners (GPs) are increasingly expected to provide palliative care as ageing populations put pressure on specialist services. Some GPs, however, cite barriers to providing this care including prognostication challenges and lack of confidence. Palliative care content within clinical practice guidelines might serve as an opportunistic source of informational support to GPs. This review analysed palliative care content within Australian guidelines for life-limiting conditions to determine the extent to which it might satisfy GPs’ stated information needs and support them to provide quality end-of-life care. Six databases and guideline repositories were searched (2011–2018). Eligible guidelines were those for a GP audience and explicitly based on an appraisal of all available evidence. Content was mapped against an established palliative care domain framework (PEPSI-COLA) and quality was assessed using AGREE-II. The nine guidelines meeting inclusion criteria were heterogenous in scope and depth of palliative care domain coverage. The ‘communication’ needs domain was best addressed while patient physical and emotional needs were variably covered. Spiritual, out-of-hours, terminal care and aftercare content was scant. Few guidelines addressed areas GPs are known to find challenging or acknowledged useful decision-support tools. A template covering important domains might reduce content variability across guidelines.
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Islam, Manjurul, Muhammad Sohaib, Jaeyoung Kim y Jong-Myon Kim. "Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods". Sensors 18, n.º 12 (11 de diciembre de 2018): 4379. http://dx.doi.org/10.3390/s18124379.
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Pressure vessels (PV) are designed to hold liquids, gases, or vapors at high pressures in various industries, but a ruptured pressure vessel can be incredibly dangerous if cracks are not detected in the early stage. This paper proposes a robust crack identification technique for pressure vessels using genetic algorithm (GA)-based feature selection and a deep neural network (DNN) in an acoustic emission (AE) examination. First, hybrid features are extracted from multiple AE sensors that represent diverse symptoms of pressure vessel faults. These features stem from various signal processing domains, such as the time domain, frequency domain, and time-frequency domain. Heterogenous features from various channels ensure a robust feature extraction process but are high-dimensional, so may contain irrelevant and redundant features. This can cause a degraded classification performance. Therefore, we use GA with a new objective function to select the most discriminant features that are highly effective for the DNN classifier when identifying crack types. The potency of the proposed method (GA + DNN) is demonstrated using AE data obtained from a self-designed pressure vessel. The experimental results indicate that the proposed method is highly effective at selecting discriminant features. These features are used as the input of the DNN classifier, achieving a 94.67% classification accuracy.
Tesis sobre el tema "Heterogenous domain"
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THIEU, THI KIM THOA. "Models for coupled active--passive population dynamics: mathematical analysis and simulation". Doctoral thesis, Gran Sasso Science Institute, 2020. http://hdl.handle.net/20.500.12571/15016.
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In this dissertation, we study models for coupled active--passive pedestrian dynamics from mathematical analysis and simulation perspectives. The general aim is to contribute to a better understanding of complex pedestrian flows.
This work comes in three main parts, in which we adopt distinct perspectives and conceptually different tools from lattice gas models, partial differential equations, and stochastic differential equations, respectively.
In part one, we introduce two lattice models for active--passive pedestrian dynamics. In a first model, using descriptions based on the simple exclusion process, we study the dynamics of pedestrian escape from an obscure room in a lattice domain with two species of particles (pedestrians). The main observable is the evacuation time as a function of the parameters caracterizing the motion of the active pedestrians. Our Monte Carlo simulation results show that the presence of the active pedestrians can favor the evacuation of the passive ones. We interpret this phenomenon as a discrete space counterpart of the so-called drafting effect. In a second model, we consider again a microscopic approach based on a modification of the simple exclusion process formulated for active--passive populations of interacting pedestrians. The model describes a scenario where pedestrians are walking in a built environment and enter a room from two opposite sides. For such counterflow situation, we have found out that the motion of active particles improves the outgoing current of the passive particles.
In part two, we study a fluid-like driven system modeling active--passive pedestrian dynamics in a heterogenous domain. We prove the well-posedness of a nonlinear coupled parabolic system that models the evolution of the complex pedestrian flow by using special energy estimates, a Schauder's fixed point argument and the properties of the nonlinearity's structure.
In the third part, we describe via a coupled nonlinear system of Skorohod-like stochastic differential equations the dynamics of active--passive pedestrians dynamics through a heterogenous domain in the presence of fire and smoke. We prove the existence and uniqueness of strong solutions to our model when reflecting boundary conditions are imposed on the boundaries. To achieve this we used compactness methods and the Skorohod's representation of solutions to SDEs posed in bounded domains. Furthermore, we study an homogenization setting for a toy model (a semi-linear elliptic equation) where later on our pedestrian models can be studied.
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Varga, Andrea. "Exploiting domain knowledge for cross-domain text classification in heterogeneous data sources". Thesis, University of Sheffield, 2014. http://etheses.whiterose.ac.uk/7538/.
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With the growing amount of data generated in large heterogeneous repositories (such as the Word Wide Web, corporate repositories, citation databases), there is an increased need for the end users to locate relevant information efficiently. Text Classification (TC) techniques provide automated means for classifying fragments of text (phrases, paragraphs or documents) into predefined semantic types, allowing an efficient way for organising and analysing such large document collections. Current approaches to TC rely on supervised learning, which perform well on the domains on which the TC system is built, but tend to adapt poorly to different domains. This thesis presents a body of work for exploring adaptive TC techniques across hetero- geneous corpora in large repositories with the goal of finding novel ways of bridging the gap across domains. The proposed approaches rely on the exploitation of domain knowledge for the derivation of stable cross-domain features. This thesis also investigates novel ways of estimating the performance of a TC classifier, by means of domain similarity measures. For this purpose, two novel knowledge-based similarity measures are proposed that capture the usefulness of the selected cross-domain features for cross-domain TC. The evaluation of these approaches and measures is presented on real world datasets against various strong baseline methods and content-based measures used in transfer learning. This thesis explores how domain knowledge can be used to enhance the representation of documents to address the lexical gap across the domains. Given that the effectiveness of a text classifier largely depends on the availability of annotated data, this thesis explores techniques which can leverage data from social knowledge sources (such as DBpedia and Freebase). Techniques are further presented, which explore the feasibility of exploiting different semantic graph structures from knowledge sources in order to create novel cross- domain features and domain similarity metrics. The methodologies presented provide a novel representation of documents, and exploit four wide coverage knowledge sources: DBpedia, Freebase, SNOMED-CT and MeSH. The contribution of this thesis demonstrates the feasibility of exploiting domain knowl- edge for adaptive TC and domain similarity, providing an enhanced representation of docu- ments with semantic information about entities, that can indeed reduce the lexical differences between domains.
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Porta, Paulo Fidel. "Heterogeneous domain decomposition methods for coupled flow problems". [S.l.] : [s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=974365610.
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Xu, Jian. "Supporting domain heterogeneous data sources for semantic integration". Thesis, University of British Columbia, 2011. http://hdl.handle.net/2429/36583.
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A SEMantic Integration System (SemIS) allows a query over one database to be answered using the knowledge managed in multiple databases in the system. It does so by translating a query across the collaborative databases in which data is autonomously managed in heterogeneous schemas. In this thesis, we investigate the challenges that arise in enabling domain heterogeneous (DH) databases to collaborate in a SemIS. In such a setting, distributed databases modeled as independent data sources are pairwise mapped to form the semantic overlay network (SON) of the SemIS. We study two problems we believe are foremost to allow a SemIS to integrate DH data sources.
The first problem tackled in this thesis is to efficiently organize data sources so that query answering is efficient despite the increased level of source heterogeneity. This problem is modeled as an “Acquaintance Selection” problem and our solution helps data sources to choose appropriate acquaintances to create schema mappings with and therefore allows a SemIS to have a single-layered and flexible SON.
The second problem tackled in this thesis is to allow aggregate queries to be translated across domain heterogeneous (DH) data sources where objects are usually represented and managed at different granularity. We focus our study on relational databases and propose novel techniques that allow a (non-aggregate) query to be answered by aggregations over objects at a finer granularity. The new query answering framework, named “decomposition aggregation query (DAQ)” processing, integrates data sources holding information in different domains and different granularity. New challenges are identified and tackled in a systematic way. We studied query optimizations for DAQ to provide efficient and scalable query processing.
The solutions for both problems are evaluated empirically using real-life data and synthetic data sets. The empirical studies verified our theoretical claims and showed the feasibility, applicability (for real-life applications) and scalability of the techniques and solutions.
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Achichi, Manel. "Linking heterogeneous open data : application to the musical domain". Thesis, Montpellier, 2018. http://www.theses.fr/2018MONTS002/document.
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Des milliers d'œuvres musicales sont décrites dans des catalogues des institutions culturelles, dont le rôle est de stocker toutes les créations musicales à travers le catalogage et de les diffuser auprès du grand public. Cette thèse s’inscrit dans le cadre du projet ANR DOREMUS -DOnnées en REutilisation pour la Musique en fonction des USages- qui vise à explorer les métadonnées des catalogues de trois grandes institutions culturelles : Bibliothèque Nationale de France (BNF), Philharmonie de Paris et Radio France afin qu'elles puissent communiquer entre elles et être mieux utilisées par les différents publics. Dans cette thèse, nous nous intéressons aux liens dits d’identité, exprimant une équivalence entre deux ressources différentes décrivant la même entité du monde réel. Notre objectif principal est de proposer une approche de liage générique, traitant certains challenges, avec comme cas concret d’utilisation les données de DOREMUS.Dans cette thèse, nous nous focalisons sur trois principaux challenges : (1) réduire la configuration manuelle de l’outil de liage, (2) faire face à différents types d’hétérogénéité entre les descriptions, et (3) Supprimer l’ambiguïté entre les ressources très similaires dans leur descriptions mais qui ne sont pas équivalentes. Certaines approches de liage demandent souvent l’intervention de l’utilisateur pour configurer certains paramètres. Ceci peut s’avérer être une tâche coûteuse pour l’utilisateur qui peut ne pas être expert du domaine. Par conséquent, une des questions de recherche que nous nous posons est comment réduire autant que possible l’intervention humaine dans le processus de liage des données. De plus, les descriptions des ressources peuvent présenter diverses hétérogénéités qu’un outil doit savoir gérer. Par ailleurs, les descriptions peuvent être exprimées dans différentes langues naturelles, avec des vocabulaires différents ou encore avec des valeurs différentes. La comparaison peut alors s’avérer très difficile en raison des variations selon trois dimensions : basées sur les valeurs, ontologiques et logiques. Dans cette thèse, nous analysons les aspects d’hétérogénéité les plus récurrents en identifiant un ensemble de techniques qui peuvent leur être appliquées. Un autre défi est la distinction entre des descriptions de ressources fortement similaires mais non équivalentes. En leur présence, la plupart des outils existants se voient diminuer leur efficacité en terme de qualité, en générant beaucoup de faux positifs. Dans cette optique, certaines approches ont été proposées pour identifier un ensemble de propriétés discriminatives appelées des clefs. De telles approches découvrent un très grand nombre de clés. La question qui se pose est de savoir si toutes les clés permettent de découvrir les mêmes paires d’instances équivalentes, ou si certaines sont plus significatives que d'autres. Aucune approche ne fournit de stratégie pour classer les clefs générées en fonction de leur efficacité à découvrir les bons liens. Afin d’assurer des alignements de qualité, nous avons proposé dans ce travail une nouvelle approche de liage de données visant à relever les défis décrits ci-dessus.Un outil de liage automatique de données hétérogènes, nommé Legato, qui répond aux challenges évoqués précédemment a été développé. Il est basé sur la notion de profile d’instance représentant chaque ressource comme un document textuel de littéraux gérant une variété d’hétérogénéités de données sans l’intervention de l’utilisateur. Legato implémente également une étape de filtrage de propriétés dites problématiques permettant de nettoyer les données du bruit susceptible de rendre la tâche de comparaison difficile. Pour pallier au problème de distinction entre les ressources similaires dans leur description, Legato implémente un algorithme basé sur la sélection et le ranking des clefs afin d’améliorer considérablement la précision au niveau des liens générésThis thesis is part of the ANR DOREMUS project. We are interested in the catalogs of three cultural institutions: BNF (Bibliothèque Nationale de France), Philharmonie de Paris and Radio France, containing detailed descriptions about music works. These institutions have adopted the Semantic Web technologies with the aim of making these data accessible to all and linked.The links creation becomes particularly difficult considering the high heterogeneity between the descriptions of the same entity. In this thesis, our main objective is to propose a generic data linking approach, dealing with certain challenges, for a concrete application on DOREMUS data. We focus on three major challenges: (1) reducing the tool configuration effort, (2) coping with different kinds of data heterogeneities across datasets and (3) dealing with datasets containing blocks of highly similar instances. Some of the existing linking approaches often require the user intervention during the linking process to configure some parameters. This may be a costly task for theuser who may not be an expert in the domain. Therefore, one of the researchquestions that arises is how to reduce human intervention as much as possible inthe process of data linking. Moreover, the data can show various heterogeneitiesthat a linking tool has to deal with. The descriptions can be expressed in differentnatural languages, with different vocabularies or with different values. The comparison can be complicated due to the variations according to three dimensions: value-based, ontological and logical. Another challenge is the distinction between highly similar but not equivalent resource descriptions. In their presence, most of the existing tools are reduced in efficiency generating false positive matches. In this perspective, some approaches have been proposed to identify a set of discriminative properties called keys. Very often, such approaches discover a very large number of keys. The question that arises is whether all keys can discover the same pairs of equivalent instances, or ifsome are more meaningful than others. No approach provides a strategy to classify the keys generated according to their effectiveness to discover the correct links.We developed Legato — a generic tool for automatic heterogeneous data linking.It is based on instance profiling to represent each resource as a textual documentof literals dealing with a variety of data heterogeneities. It implementsa filtering step of so-called problematic properties allowing to clean the data ofthe noise likely to make the comparison task difficult. To address the problem ofsimilar but distinct resources, Legato implements a key ranking algorithm calledRANKey
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Szydlarski, Mikolaj. "Algebraic Domain Decomposition Methods for Darcy flow in heterogeneous media". Phd thesis, Université Pierre et Marie Curie - Paris VI, 2010. http://tel.archives-ouvertes.fr/tel-00550728.
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Afin de répondre aux besoins de l'industrie pétrolière d'une description plus fine de la géométrie et des propriétés pétrophysiques des bassins et des réservoirs, la simulation numérique des écoulements en milieux poreux doit évoluer vers des algorithmes plus performants et plus robustes vis à vis de la taille des simulations, de la complexité des maillages et des hétérogénéités du milieu poreux. Les méthodes de décomposition de domaine constituent une alternative aux méthodes multigrilles et pourraient permettre de lever les difficultés précédentes en terme de robustesse et d'efficacité sur architectures parallèles. Elles sont par nature plus adaptées au calcul parallèle et sont plus robustes en particulier lorsque les sous domaines sont résolus par des méthodes directes. Elles permettent aussi de traiter dans un cadre unique les couplages de modèles comme les puits ou les failles conductrices et s'étendent au cas des systèmes couplés. Le travail de thèse traite plus particulièrement de méthodes définies au niveau algébrique. On ne suppose pas avoir une connaissance préalable du problème continu dont la matrice provient. On n'a pas non plus accés aux matrices avant assemblage. Ce manque d'informations a priori rend plus difficile la construction de méthodes efficaces. On propose deux nouvelles méthodes de construction de méthodes de décomposition de domaine au niveau algébrique: la construction de conditions d'interface optimisées et d'une grille grossière. Ce dernier point est particulièrement important pour avoir des méthodes robustes vis à vis du nombre des sous-domaines. Les méthodes sont adaptatives et basées sur l'analyse de l'espace de Krylov généré durant les premières itérations de la méthode de Schwarz classique. A partir des vecteurs de Ritz correspondant aux plus basses valeurs propres, on construit des conditions d'interface et des grilles grossières qui annihilent l'erreur sur ces composantes. Les méthodes ont été testées sur des calculateurs parallèles pour des matrices issues de la simulation de milieux poreux.
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Martini, Immanuel [Verfasser]. "Reduced Basis Approximation for Heterogeneous Domain Decomposition Problems / Immanuel Martini". München : Verlag Dr. Hut, 2018. http://d-nb.info/1153254751/34.
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Chadha, Sanchit. "Supporting Heterogeneous Device Development and Communication". Thesis, Virginia Tech, 2016. http://hdl.handle.net/10919/64434.
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To increase market penetration, mobile software makers support their popular applications on all major software platforms, which currently include Android, iOS, and Windows Phone. Although these platforms often offer a drastically different look and feel, cross-platform applications deliver the same core functionality to the end user. Maintaining and evolving such applications currently requires replicating all the changes across all supported variants, a laborious and intellectually taxing enterprise. The state-of-the-practice automated source translation tools fall short, as they are incapable of handling the structural and idiomatic differences of the software frameworks driving major mobile platforms.
In addition, popular mobile applications increasingly make use of distributed resources. Certain domains, including social networking, productivity enhancement, and gaming, require different application instances to continuously exchange information with each other. The current state of the art in supporting communication across heterogeneous mobile devices requires the programmer to write platform-specific, low-level API calls that are hard not only to develop but also to evolve and maintain.
This thesis reports on the findings of two complementary research activities, conducted with the goal of facilitating the development and communication across heterogeneous mobile devices: (1) a programming model and runtime support for heterogeneous device-to-device communication across mobile applications; (2) a source code recommendation system that synthesizes code snippets from web-based programming resources, based on the functionality written for Android or iOS and vice versa. The conceptual and practical advancements of this research have potential to benefit fellow researchers as well as mobile software developers and users.Master of Science
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Gong, Rulan. "Mixing-controlled reactive transport in connected heterogeneous domains". Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50365.
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Reactive transport models are essential tools for predicting contaminant fate and transport in the subsurface and for designing effective remediation strategies. Sound understanding of subsurface mixing in heterogeneous porous media is the key for the realistic modeling of reactive transport. This dissertation aims to investigate the extent of mixing and improve upscaling effective macroscopic models for mixing-controlled reactive transport in connected heterogeneous formations, which usually exhibit strongly anomalous transport behavior.
In this research, a novel approach is developed for an accurate geostatistical characterization of connected heterogeneous formations transformed from Gaussian random fields. Numerical experiments are conducted in such heterogeneous fields with different connectivity to investigate the performance of macroscopic mean transport models for simulating mixing-controlled reactive transport. Results show that good characterization of anomalous transport of a conservative tracer does not necessarily mean that the models may characterize mixing well and that, consequently, it is questionable that the models capable of characterizing anomalous transport behavior of a conservative tracer are appropriate for simulating mixing-controlled reactive transport. In connected heterogeneous fields with large hydraulic conductivity variances, macroscopic mean models ignoring concentration variations yield good prediction, while in fields with intermediate conductivity variances, the models must consider both the mean concentration and concentration variations, which are very difficult to evaluate both theoretically and experimentally.
An innovative and practical approach is developed by combining mean conservative and reactive breakthrough curves for estimating concentration variations, which can be subsequently used by variance transport models for prediction. Furthermore, a new macroscopic framework based on the dual-permeability conceptualization is developed for describing both mean and concentration variation for mixing-controlled reactive transport. The developed approach and models are validated by numerical and laboratory visualization experiments. In particular, the new dual-permeability model demonstrates significant improvement for simulating mixing-controlled reactive transport in heterogeneous media with intermediate conductivity variances.
Overall, results, approaches and models from this dissertation advance the understanding of subsurface mixing in anomalous transport and significantly improve the predictive ability for modeling mixing-controlled reactive transport in connected heterogeneous media.
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Razzaghi, Kouchaksaraei Hadi [Verfasser]. "Orchestrating network services using multi-domain, heterogeneous resources / Hadi Razzaghi Kouchaksaraei". Paderborn : Universitätsbibliothek, 2020. http://d-nb.info/1222587939/34.
Texto completoLibros sobre el tema "Heterogenous domain"
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Curran, Kevin. Dynamic reconfiguration of IP domain middleware stacks to support multicast multimedia distribution in a heterogeneous environment. [S.l: The Author], 2004.
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Heterogeneous Ferroelectric Solid Solutions Phases And Domain States. Springer, 2011.
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Topolov, Vitaly. Heterogeneous Ferroelectric Solid Solutions: Phases and Domain States. Springer, 2011.
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Topolov, Vitaly Yu. Heterogeneous Ferroelectric Solid Solutions: Phases and Domain States. Springer, 2018.
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Topolov, Vitaly Yu. Heterogeneous Ferroelectric Solid Solutions: Phases and Domain States. Springer, 2018.
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Topolov, Vitaly. Heterogeneous Ferroelectric Solid Solutions: Phases and Domain States. Springer, 2011.
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Henik, Avishai, Orly Rubinsten y Sarit Ashkenazi. Developmental Dyscalculia as a Heterogeneous Disability. Editado por Roi Cohen Kadosh y Ann Dowker. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199642342.013.030.
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This chapter discusses heterogeneous aspects of developmental dyscalculia (DD) in terms of behaviour, cognitive operations, and neural structures. It has been suggested that DD is an isolated learning deficiency, involves a domain-specific deficit (in the capacity to enumerate), and a specific neural deficiency (in the intraparietal sulcus). We present findings that (1) DD involves both domain-specific and domain-general abilities; (2) in many cases behaviours, as well as cognition in those with DD are characterized by deficits in other areas, such as attention or memory and not only as a number sense deficiency; and (3) studies of the neural structures involved in DD reveal areas and mechanisms that hint toward heterogeneous damage. We suggest that similar to other learning disabilities, heterogeneity is the rule, rather than an exception. Accordingly, in order to reach a comprehensive understanding of DD, studies should aim at unravelling the basis for this heterogeneity.
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Mole, Christopher. The Process of Inference. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198777991.003.0008.
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The set of entities that serves as the domain for our discourse about the mind is metaphysically heterogenous. It includes processes, events, properties, modes, and states. In the latter part of the twentieth century, philosophers started to suppose that a philosophical theory of the mind should be primarily concerned with the explanation of mental states. Those states could be mentioned in the explanations that would need to be given for mental entities of other sorts. If, for example, we had a prior explanation of belief states, then those states could figure in our subsequent explanation of inferences: inferences, on this approach, are to be identified with certain processes of belief revision. This states-first approach was not favoured by earlier theorists of the mind, who tended to suppose that mental events and processes are explanatorily more basic than mental states. The current states-first approach faces insuperable difficulties, which the earlier approach avoids.
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Topolov, Vitaly. Heterogeneous Ferroelectric Solid Solutions: Phases and Domain States (Springer Series in Materials Science). Springer, 2013.
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Fitzgerald, Des y Felicity Callard. Entangling the Medical Humanities. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474400046.003.0001.
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The medical humanities are at a critical juncture. On the one hand, practitioners of this field can bask in their recent successes: in the UK, at least, what was once a loose set of intuitions – broadly about animating the clinical and research spaces of biomedicine with concepts and methods from the humanities – has become a visible and coherent set of interventions, with its own journals, conferences, centres, funding streams and students. On the other hand, the growth, coherence and stratification of this heterogeneous domain have raised the spectre of just what, exactly, the medical humanities is growing into. In particular, scholars have begun to worry that the success of the medical humanities is tied up with being useful to biomedicine, that the medical humanities has been able to establish itself only by appearing as the domain of pleasant (but more or less inconsequential) helpmeets.
Capítulos de libros sobre el tema "Heterogenous domain"
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Guan, Zengda, Shuotian Bai y Tingshao Zhu. "Heterogeneous Domain Adaptation Using Linear Kernel". En Pervasive Computing and the Networked World, 124–33. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09265-2_14.
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Benson, Debbie L., Philip K. Maini y Jonathan A. Sherratt. "Pattern Formation in Heterogeneous Domains". En Experimental and Theoretical Advances in Biological Pattern Formation, 29–32. Boston, MA: Springer US, 1993. http://dx.doi.org/10.1007/978-1-4615-2433-5_4.
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Topolov, Vitaly Yu. "Relations Between Domain States and Heterophase Structures in Lead-Free Ferroelectric Solid Solutions". En Heterogeneous Ferroelectric Solid Solutions, 135–61. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-75520-5_6.
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Butting, Arvid y Andreas Wortmann. "Language Engineering for Heterogeneous Collaborative Embedded Systems". En Model-Based Engineering of Collaborative Embedded Systems, 239–53. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-62136-0_11.
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AbstractAt the core of model-driven development (MDD) of collaborative embedded systems (CESs) are models that realize the different participating stakeholders’ views of the systems. For CESs, these views contain various models to represent requirements, logical functions, collaboration functions, and technical realizations. To enable automated processing, these models must conform to modeling languages. Domain-specific languages (DSLs) that leverage concepts and terminology established by the stakeholders are key to their success. The variety of domains in which CESs are applied has led to a magnitude of different DSLs. These are manually engineered, composed, and customized for different applications, a process which is costly and error-prone. We present an approach for engineering independent language components and composing these using systematic composition operators. To support structured reuse of language components, we further present a methodology for building up product lines of such language components. This fosters engineering of collaborative embedded systems with modeling techniques tailored to each application.
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Chen, Wei-Yu, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang y Ming-Syan Chen. "Transfer Neural Trees for Heterogeneous Domain Adaptation". En Computer Vision – ECCV 2016, 399–414. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-46454-1_25.
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Yonekawa, Kei, Hao Niu, Mori Kurokawa, Arei Kobayashi, Daichi Amagata, Takuya Maekawa y Takahiro Hara. "A Heterogeneous Domain Adversarial Neural Network for Trans-Domain Behavioral Targeting". En Lecture Notes in Computer Science, 274–85. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-26142-9_24.
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Dolean, Victorita, Mohamed El Bouajaji, Martin J. Gander, Stéphane Lanteri y Ronan Perrussel. "Domain Decomposition Methods for Electromagnetic Wave Propagation Problems in Heterogeneous Media and Complex Domains". En Lecture Notes in Computational Science and Engineering, 15–26. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11304-8_2.
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Engwer, Christian y Sebastian Westerheide. "Heterogeneous Coupling for Implicitly Described Domains". En Lecture Notes in Computational Science and Engineering, 809–17. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05789-7_78.
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Rouces, Jacobo, Gerard de Melo y Katja Hose. "Heuristics for Connecting Heterogeneous Knowledge via FrameBase". En The Semantic Web. Latest Advances and New Domains, 20–35. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-34129-3_2.
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Willner, Alexander, Christoph Barz, Joan Antoni Garcia Espin, Jordi Ferrer Riera, Sergi Figuerola y Peter Martini. "Harmony - Advance Reservations in Heterogeneous Multi-domain Environments". En NETWORKING 2009, 871–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-01399-7_68.
Texto completoActas de conferencias sobre el tema "Heterogenous domain"
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Yin, Jiangyi, Yuchun Guo y Yishuai Chen. "Heterogenous Information Network Embedding Based Cross-Domain Recommendation System". En 2019 International Conference on Data Mining Workshops (ICDMW). IEEE, 2019. http://dx.doi.org/10.1109/icdmw.2019.00060.
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Park, Justin, Richard Frayne y Mariana Bento. "Supervised domain adaptation approach on heterogenous, multi-center MR imaging datasets". En Seventeenth International Symposium on Medical Information Processing and Analysis, editado por Adam Walker, Letícia Rittner, Eduardo Romero Castro, Natasha Lepore, Jorge Brieva y Marius G. Linguraru. SPIE, 2021. http://dx.doi.org/10.1117/12.2605994.
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Kim, Sengjai. "Multigrid domain decomposition techniques for the high‐frequency numerical solution of scalar waves in heterogenous media". En SEG Technical Program Expanded Abstracts 2001. Society of Exploration Geophysicists, 2001. http://dx.doi.org/10.1190/1.1816298.
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Samadi, Zahra, Eric Johlin, Christopher DeGroot y Hassan Peerhossaini. "Modelling Optical Properties of Algae Using the Finite-Difference Time Domain Method". En ASME 2021 Fluids Engineering Division Summer Meeting. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/fedsm2021-66314.
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Abstract Photosynthetic microorganisms are important to the Earth’s ecosystem, since about half of the atmospheric oxygen is produced by photosynthesis. Microalgae and photosynthetic bacteria are also utilized in a wide range of industries in photobioreactors. In order to have better control over photobioreactors under various operating conditions, it is necessary to accurately characterize the propagation of light in the reactor. Theoretical methods are able to calculate the optical properties of microorganisms through the solution of Maxwell’s equations of electromagnetic wave theory. To solve Maxwell’s equations, various methods can be used including Lorenz-Mie, T-Matrix, Finite-Difference Time-Domain (FDTD), and Volume Integral methods. Most theoretical methods predict the optical properties of microorganisms by Lorenz-Mie theory. Lorenz–Mie theory is applicable for homogeneous and spherical particles, homogeneous concentric spheres, or coated spheres. This work seeks to determine the suitability of the commonly used homogenous-sphere, coated-sphere, and heterogenous-sphere approximation by simulating the optical behavior of photosynthetic microorganism (Chlamydomonas reinhardtii) using FDTD and an accurate geometric model. Here, each of the key cell organelles will be included in the model with the appropriate optical properties specified. These results allow for a more accurate optical model to be developed while studying the effects of different growth regimes.
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Yates, Luke, Ramez Cheaito, Aditya Sood, Zhe Cheng, Thomas Bougher, Mehdi Asheghi, Kenneth Goodson et al. "Investigation of the Heterogeneous Thermal Conductivity in Bulk CVD Diamond for Use in Electronics Thermal Management". En ASME 2017 International Technical Conference and Exhibition on Packaging and Integration of Electronic and Photonic Microsystems collocated with the ASME 2017 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/ipack2017-74163.
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From a materials perspective, diamond exhibits properties that are extremely well suited for use in the thermal management of high power and high heat flux electronic devices. While bulk diamond grown via chemical vapor deposition (CVD) has been demonstrated since the 1980s, and people have measured thermal conductivities ranging from 500–2000 W/m-K, these measurements have typically taken place over a large domain that encompasses numerous diamond grains. However, many of these techniques do not reveal the heterogenous nature of the diamond thermal conductivity which arises due to the local grain structure and orientation. The diamond sample investigated in this study contained a high level of boron doping on the order of 1021cm−3, giving rise to a reduced thermal conductivity measured as 714 W/m-K with a laser flash method. Similar bulk CVD diamond samples that are undoped show thermal conductivity values of greater than 1500 W/m-K with the same measurement technique. Through the use of time-domain thermoreflectance (TDTR) we are able to measure the thermal conductivity of bulk CVD diamond at a spatial resolution smaller than the size of the columnar grains. This allows us to examine significant changes in thermal conductivity as a function of spatial location, which is of great significance when the thermal source from electronics is on the size scale of this variation. Using TDTR, we present an approach involving a variation in the laser spot size using multiple focusing objectives to yield the heterogeneous thermal conductivity in bulk CVD diamond. The data show variations in thermal conductivity near 40% over a diameter of 40 μm. Scanning Electron Microscopy (SEM) and electron backscatter diffraction (EBSD) data are presented which also show variation in microstructure over this length scale giving rise to the heterogeneity.
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Irick, Kevin y Nima Fathi. "High-Fidelity Calculation of Effective Thermal Response of Composite Media With Heat Generation Source". En ASME 2020 Verification and Validation Symposium. American Society of Mechanical Engineers, 2020. http://dx.doi.org/10.1115/vvs2020-8836.
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Abstract The complexity of conductive heat transfer in a structure increases with heterogeneity (e.g., multi-component solid-phase systems with a source of internal thermal heat generation). Any discontinuity of material property — especially thermal conductivity — would warrant a thorough analysis to evaluate the thermal behavior of the system of interest. Heterogeneous thermal conditions are crucial to heat transfer in nuclear fuel assemblies, because the thermal behavior within the assemblies is governed significantly by the heterogeneous thermal conditions at both the system and component levels. A variety of materials have been used as nuclear fuels, the most conventional of which is uranium dioxide, UO2. UO2 has satisfactory chemical and irradiation tolerances in thermal reactors, whereas the low thermal conductivity of porous UO2 can prove challenging. Therefore, the feasibility of enhancing the thermal conductivity of oxide fuels by adding a high-conductivity secondary solid component is still an important ongoing topic of investigation. Undoubtedly, long-term, stable development of clean nuclear energy would depend on research and development of innovative reactor designs and fuel systems. Having a better understanding of the thermal response of the unit cell of a composite that represents a fuel matrix cell would help to develop the next generation of nuclear fuel and understand potential performance enhancements. The aim of this article is to provide an assessment of a high-fidelity computational model response of heterogeneous materials with heat generation in circular fillers. Two-dimensional, steady-state systems were defined with a circular, heat-generating filler centered in a unit-cell domain. A Fortran-based finite element method (FEM) code was used to solve the heat equation on an unstructured triangular mesh of the systems. This paper presents a study on the effects of a heat-generating filler material’s relative size and thermal conductivity on effective thermal conductance, Geff, within a heterogenous material. Code verification using the method of manufactured solution (MMS) was employed, showing a second-order accurate numerical implementation. Solution verification was performed using a global deviation grid convergence index (GCI) method to assess solution convergence and estimate solution numerical uncertainty, Unum. Trend results are presented, showing variable response in Geff to filler size and thermal conductivity.
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Yan, Yuguang, Wen Li, Hanrui Wu, Huaqing Min, Mingkui Tan y Qingyao Wu. "Semi-Supervised Optimal Transport for Heterogeneous Domain Adaptation". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/412.
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Heterogeneous domain adaptation (HDA) aims to exploit knowledge from a heterogeneous source domain to improve the learning performance in a target domain. Since the feature spaces of the source and target domains are different, the transferring of knowledge is extremely difficult. In this paper, we propose a novel semi-supervised algorithm for HDA by exploiting the theory of optimal transport (OT), a powerful tool originally designed for aligning two different distributions. To match the samples between heterogeneous domains, we propose to preserve the semantic consistency between heterogeneous domains by incorporating label information into the entropic Gromov-Wasserstein discrepancy, which is a metric in OT for different metric spaces, resulting in a new semi-supervised scheme. Via the new scheme, the target and transported source samples with the same label are enforced to follow similar distributions. Lastly, based on the Kullback-Leibler metric, we develop an efficient algorithm to optimize the resultant problem. Comprehensive experiments on both synthetic and real-world datasets demonstrate the effectiveness of our proposed method.
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Luo, Yong, Tongliang Liu, Yonggang Wen y Dacheng Tao. "Online Heterogeneous Transfer Metric Learning". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/350.
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Distance metric learning (DML) has been demonstrated to be successful and essential in diverse applications. Transfer metric learning (TML) can help DML in the target domain with limited label information by utilizing information from some related source domains. The heterogeneous TML (HTML), where the feature representations vary from the source to the target domain, is general and challenging. However, current HTML approaches are usually conducted in a batch manner and cannot handle sequential data. This motivates the proposed online HTML (OHTML) method. In particular, the distance metric in the source domain is pre-trained using some existing DML algorithms. To enable knowledge transfer, we assume there are large amounts of unlabeled corresponding data that have representations in both the source and target domains. By enforcing the distances (between these unlabeled samples) in the target domain to agree with those in the source domain under the manifold regularization theme, we learn an improved target metric. We formulate the problem in the online setting so that the optimization is efficient and the model can be adapted to new coming data. Experiments in diverse applications demonstrate both effectiveness and efficiency of the proposed method.
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Cao, Bing, Nannan Wang, Xinbo Gao, Jie Li y Zhifeng Li. "Multi-Margin based Decorrelation Learning for Heterogeneous Face Recognition". En Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/96.
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Heterogeneous face recognition (HFR) refers to matching face images acquired from different domains with wide applications in security scenarios. However, HFR is still a challenging problem due to the significant cross-domain discrepancy and the lacking of sufficient training data in different domains. This paper presents a deep neural network approach namely Multi-Margin based Decorrelation Learning (MMDL) to extract decorrelation representations in a hyperspherical space for cross-domain face images. The proposed framework can be divided into two components: heterogeneous representation network and decorrelation representation learning. First, we employ a large scale of accessible visual face images to train heterogeneous representation network. The decorrelation layer projects the output of the first component into decorrelation latent subspace and obtain decorrelation representation. In addition, we design a multi-margin loss (MML), which consists of tetradmargin loss (TML) and heterogeneous angular margin loss (HAML), to constrain the proposed framework. Experimental results on two challenging heterogeneous face databases show that our approach achieves superior performance on both verification and recognition tasks, comparing with state-of-the-art methods.
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Ye, Han-Jia, Xiang-Rong Sheng, De-Chuan Zhan y Peng He. "Distance Metric Facilitated Transportation between Heterogeneous Domains". En Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/418.
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Lacking training examples is one of the main obstacles to learning systems. Transfer learning aims to extract and utilize useful information from related datasets and assists the current task effectively. Most existing methods restrict tasks connection on the same feature sets, or require aligned examples cross domains, even cannot take full advantage of the limited label information. In this paper, we focus on transferring between heterogeneous domains, i.e., those with different feature spaces, and propose the Metric Transporation on HEterogeneous REpresentations (MapHere) approach. In particular, an asymmetric transformation map is first learned to compensate the cross-domain feature difference based on linkage relationship between objects; then the inner-domain discrepancy is further reduced with learned optimal transportation. Note that both source domain and cross-domain relationship are fully utilized in MapHere, which helps improve target classification task a lot. Experiments on synthetic dataset validate the importance of the ''metric facilitated'' consideration, while results on real-world image and text classification also show the superiority of the proposed MapHere approach.
Informes sobre el tema "Heterogenous domain"
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Garbey, M. y H. G. Kaper. Heterogeneous domain decomposition for singularly perturbed elliptic boundary value problems. Office of Scientific and Technical Information (OSTI), abril de 1995. http://dx.doi.org/10.2172/510563.
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O'Neal, Jared, Mohamed Wahib, Anshu Dubey, Klaus Weide y Thomas Klosterman. Domaine-Specific Runtime to Orchestrate Computation on Heterogeneous Platforms. Office of Scientific and Technical Information (OSTI), abril de 2021. http://dx.doi.org/10.2172/1810307.
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Berkooz, Gal. A DOMAIN Specific Library and APE for Simulation of Partial Differential Equations in Heterogeneous Environments. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 1998. http://dx.doi.org/10.21236/adb238737.
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Russo, David y William A. Jury. Characterization of Preferential Flow in Spatially Variable Unsaturated Field Soils. United States Department of Agriculture, octubre de 2001. http://dx.doi.org/10.32747/2001.7580681.bard.
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Preferential flow appears to be the rule rather than the exception in field soils and should be considered in the quantitative description of solute transport in the unsaturated zone of heterogeneous formations on the field scale. This study focused on both experimental monitoring and computer simulations to identify important features of preferential flow in the natural environment. The specific objectives of this research were: (1) To conduct dye tracing and multiple tracer experiments on undisturbed field plots to reveal information about the flow velocity, spatial prevalence, and time evolution of a preferential flow event; (2) To conduct numerical experiments to determine (i) whether preferential flow observations are consistent with the Richards flow equation; and (ii) whether volume averaging over a domain experiencing preferential flow is possible; (3) To develop a stochastic or a transfer function model that incorporates preferential flow. Regarding our field work, we succeeded to develop a new method for detecting flow patterns faithfully representing the movement of water flow paths in structured and non-structured soils. The method which is based on application of ammonium carbonate was tested in a laboratory study. Its use to detect preferential flow was also illustrated in a field experiment. It was shown that ammonium carbonate is a more conservative tracer of the water front than the popular Brilliant Blue. In our detailed field experiments we also succeeded to document the occurrence of preferential flow during soil water redistribution following the cessation of precipitation in several structureless field soils. Symptoms of the unstable flow observed included vertical fingers 20 - 60 cm wide, isolated patches, and highly concentrated areas of the tracers in the transmission zone. Soil moisture and tracer measurements revealed that the redistribution flow became fingered following a reversal of matric potential gradient within the wetted area. Regarding our simulation work, we succeeded to develop, implement and test a finite- difference, numerical scheme for solving the equations governing flow and transport in three-dimensional, heterogeneous, bimodal, flow domains with highly contrasting soil materials. Results of our simulations demonstrated that under steady-state flow conditions, the embedded clay lenses (with very low conductivity) in bimodal formations may induce preferential flow, and, consequently, may enhance considerably both the solute spreading and the skewing of the solute breakthrough curves. On the other hand, under transient flow conditions associated with substantial redistribution periods with diminishing water saturation, the effect of the embedded clay lenses on the flow and the transport might diminish substantially. Regarding our stochastic modeling effort, we succeeded to develop a theoretical framework for flow and transport in bimodal, heterogeneous, unsaturated formations, based on a stochastic continuum presentation of the flow and a general Lagrangian description of the transport. Results of our analysis show that, generally, a bimodal distribution of the formation properties, characterized by a relatively complex spatial correlation structure, contributes to the variability in water velocity and, consequently, may considerably enhance solute spreading. This applies especially in formations in which: (i) the correlation length scales and the variances of the soil properties associated with the embedded soil are much larger than those of the background soil; (ii) the contrast between mean properties of the two subdomains is large; (iii) mean water saturation is relatively small; and (iv) the volume fraction of the flow domain occupied by the embedded soil is relatively large.
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Patel, Reena. Complex network analysis for early detection of failure mechanisms in resilient bio-structures. Engineer Research and Development Center (U.S.), junio de 2021. http://dx.doi.org/10.21079/11681/41042.
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Bio-structures owe their remarkable mechanical properties to their hierarchical geometrical arrangement as well as heterogeneous material properties. This dissertation presents an integrated, interdisciplinary approach that employs computational mechanics combined with flow network analysis to gain fundamental insights into the failure mechanisms of high performance, light-weight, structured composites by examining the stress flow patterns formed in the nascent stages of loading for the rostrum of the paddlefish. The data required for the flow network analysis was generated from the finite element analysis of the rostrum. The flow network was weighted based on the parameter of interest, which is stress in the current study. The changing kinematics of the structural system was provided as input to the algorithm that computes the minimum-cut of the flow network. The proposed approach was verified using two classical problems three- and four-point bending of a simply-supported concrete beam. The current study also addresses the methodology used to prepare data in an appropriate format for a seamless transition from finite element binary database files to the abstract mathematical domain needed for the network flow analysis. A robust, platform-independent procedure was developed that efficiently handles the large datasets produced by the finite element simulations. Results from computational mechanics using Abaqus and complex network analysis are presented.
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Zhang, Renduo y David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, noviembre de 2004. http://dx.doi.org/10.32747/2004.7587220.bard.
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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. Therefore, determination of scale-dependent and spatial variability of soil hydraulic properties provides the essential information for quantifying water flow and chemical transport through the subsurface, which are the key processes for detection of potential agricultural/industrial contaminants, reduction of agricultural chemical movement, improvement of soil and water quality, and increase of agricultural productivity. The original research objectives of this project were: 1. to measure soil hydraulic properties at different locations and different scales at large fields; 2. to develop scale-dependent relationships of soil hydraulic properties; and 3. to determine spatial variability and heterogeneity of soil hydraulic properties as a function of measurement scales. The US investigators conducted field and lab experiments to measure soil hydraulic properties at different locations and different scales. Based on the field and lab experiments, a well-structured database of soil physical and hydraulic properties was developed. The database was used to study scale-dependency, spatial variability, and heterogeneity of soil hydraulic properties. An improved method was developed for calculating hydraulic properties based on infiltration data from the disc infiltrometer. Compared with the other methods, the proposed method provided more accurate and stable estimations of the hydraulic conductivity and macroscopic capillary length, using infiltration data collected atshort experiment periods. We also developed scale-dependent relationships of soil hydraulic properties using the fractal and geostatistical characterization. The research effort of the Israeli research team concentrates on tasks along the second objective. The main accomplishment of this effort is that we succeed to derive first-order, upscaled (block effective) conductivity tensor, K'ᵢⱼ, and time-dependent dispersion tensor, D'ᵢⱼ, i,j=1,2,3, for steady-state flow in three-dimensional, partially saturated, heterogeneous formations, for length-scales comparable with those of the formation heterogeneity. Numerical simulations designed to test the applicability of the upscaling methodology to more general situations involving complex, transient flow regimes originating from periodic rain/irrigation events and water uptake by plant roots suggested that even in this complicated case, the upscaling methodology essentially compensated for the loss of sub-grid-scale variations of the velocity field caused by coarse discretization of the flow domain. These results have significant implications with respect to the development of field-scale solute transport models capable of simulating complex real-world scenarios in the subsurface, and, in turn, are essential for the assessment of the threat posed by contamination from agricultural and/or industrial sources.
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de Kemp, E. A., H. A. J. Russell, B. Brodaric, D. B. Snyder, M. J. Hillier, M. St-Onge, C. Harrison et al. Initiating transformative geoscience practice at the Geological Survey of Canada: Canada in 3D. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/331097.
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Application of 3D technologies to the wide range of Geosciences knowledge domains is well underway. These have been operationalized in workflows of the hydrocarbon sector for a half-century, and now in mining for over two decades. In Geosciences, algorithms, structured workflows and data integration strategies can support compelling Earth models, however challenges remain to meet the standards of geological plausibility required for most geoscientific studies. There is also missing links in the institutional information infrastructure supporting operational multi-scale 3D data and model development. Canada in 3D (C3D) is a vision and road map for transforming the Geological Survey of Canada's (GSC) work practice by leveraging emerging 3D technologies. Primarily the transformation from 2D geological mapping, to a well-structured 3D modelling practice that is both data-driven and knowledge-driven. It is tempting to imagine that advanced 3D computational methods, coupled with Artificial Intelligence and Big Data tools will automate the bulk of this process. To effectively apply these methods there is a need, however, for data to be in a well-organized, classified, georeferenced (3D) format embedded with key information, such as spatial-temporal relations, and earth process knowledge. Another key challenge for C3D is the relative infancy of 3D geoscience technologies for geological inference and 3D modelling using sparse and heterogeneous regional geoscience information, while preserving the insights and expertise of geoscientists maintaining scientific integrity of digital products. In most geological surveys, there remains considerable educational and operational challenges to achieve this balance of digital automation and expert knowledge. Emerging from the last two decades of research are more efficient workflows, transitioning from cumbersome, explicit (manual) to reproducible implicit semi-automated methods. They are characterized by integrated and iterative, forward and reverse geophysical modelling, coupled with stratigraphic and structural approaches. The full impact of research and development with these 3D tools, geophysical-geological integration and simulation approaches is perhaps unpredictable, but the expectation is that they will produce predictive, instructive models of Canada's geology that will be used to educate, prioritize and influence sustainable policy for stewarding our natural resources. On the horizon are 3D geological modelling methods spanning the gulf between local and frontier or green-fields, as well as deep crustal characterization. These are key components of mineral systems understanding, integrated and coupled hydrological modelling and energy transition applications, e.g. carbon sequestration, in-situ hydrogen mining, and geothermal exploration. Presented are some case study examples at a range of scales from our efforts in C3D.