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Dissertations / Theses on the topic 'Cloud models'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2025

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1

Gorelik, Eugene. "Cloud computing models." Thesis, Massachusetts Institute of Technology, 2013. http://hdl.handle.net/1721.1/79811.

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Thesis (S.M. in Engineering and Management)--Massachusetts Institute of Technology, Engineering Systems Division, 2013.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 79-80).<br>Information Technology has always been considered a major pain point of enterprise organizations, from the perspectives of both cost and management. However, the information technology industry has experienced a dramatic shift in the past decade - factors such as hardware commoditization, open-source software, virtualization, workforce globalization, and agile IT processes have supp

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2

Barahona, Donifan. "On the representation of aerosol-cloud interactions in atmospheric models." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/41169.

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Anthropogenic atmospheric aerosols (suspended particulate matter) can modify the radiative balance (and climate) of the Earth by altering the properties and global distribution of clouds. Current climate models however cannot adequately account for many important aspects of these aerosol-cloud interactions, ultimately leading to a large uncertainty in the estimation of the magnitude of the effect of aerosols on climate. This thesis focuses on the development of physically-based descriptions of aerosol-cloud processes in climate models that help to address some of such predictive uncertainty. I

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3

Farrington, Robert. "Testing mixed phase cloud parametrizations through confronting models with in-situ observations." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/testing-mixed-phase-cloud-parametrizations-through-confronting-models-with-insitu-observations(e2b7e31b-fa4a-4501-9f30-2ca2452c58fa).html.

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Accurate representations of clouds are required in large-scale weather and climate models to make detailed and precise predictions of the Earth's weather and climate. Representations of clouds within these models are limited by the present understanding of the role of aerosols in the microphysical processes responsible for cloud formation and development. As part of a NERC funded CASE studentship with the Met Office, this thesis aims to test new aerosol-dependent mixed-phase cloud parametrizations by obtaining extensive cloud microphysical measurements in-situ and comparing and contrasting the

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4

Upton, Nigel Keith. "Algorithmic solution of air-pollutant cloud models." Thesis, Cranfield University, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.304572.

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5

Krikos, Alexis Christopher. "Disruptive technology business models in cloud computing." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/59255.

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Thesis (S.M. in System Design and Management)--Massachusetts Institute of Technology, Engineering Systems Division, System Design and Management Program, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references.<br>Cloud computing, a term whose origins have been in existence for more than a decade, has come into fruition due to technological capabilities and marketplace demands. Cloud computing can be defined as a scalable and flexible shared computing solution in which third-party suppliers use virtualization technologies to create and distribute computing resourc

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6

Medeiros, Brian Pacheco. "Cloud-climate interactions in general circulation models." Diss., Restricted to subscribing institutions, 2007. http://proquest.umi.com/pqdweb?did=1428862971&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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7

Teng, Fei. "Ressource Allocation and Schelduling Models for Cloud Computing." Phd thesis, Ecole Centrale Paris, 2011. http://tel.archives-ouvertes.fr/tel-00659303.

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Cloud computing, the long-held dream of computing as a utility, has the potential to transform a large part of the IT industry, making software even more attractive as a service and shaping the way in which hardware is designed and purchased. In this thesis, we reviewed the new cloud computing technologies, and indicated the main challenges for their development in future, among which resource management problem stands out and attracts our attention. Combining the current scheduling theories, we proposed cloud scheduling hierarchy to deal with different requirements of cloud services. From the

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8

Firozbakht, Farzad. "Cloud Computing Service Discovery Framework for IaaS and PaaS Models." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/35595.

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Cloud service discovery is a new challenge which requires a dedicated framework in order to approach it. Over the past few years, several methods and frameworks have been developed for cloud service discovery but they are mostly designed for all cloud computing models in general which are not optimal. The three cloud computing models are Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS), each computing model has its own set of resources. Having one single discovery framework for all three is not very efficient and the implementatio

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9

Kawai, Hideaki. "Study on Marine Boundary Layer Clouds and Their Environment for Cloud Parameterizations in Global Climate Models." Kyoto University, 2017. http://hdl.handle.net/2433/226008.

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10

Hohenegger, Cathy. "Dynamical analysis of atmospheric predictability in cloud-resolving models /." Zürich : ETH, 2006. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=16871.

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11

Hachicha, Belghith Emna. "Supporting cloud resource allocation in configurable business process models." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL007/document.

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Les organisations adoptent de plus en plus les Systèmes (PAIS) pour gérer leurs processus métiers basés sur les services en utilisant les modèles de processus appelés «modèles de processus métiers». Motivés par l’adaptation aux exigences commerciales et par la réduction des coûts de maintenance, les organisations externalisent leurs processus dans le Cloud Computing. Selon l'Institut NIST, Cloud Computing est un modèle qui permet aux fournisseurs de partager leurs ressources et aux utilisateurs d’y accéder de manière pratique et à la demande. Dans un tel environnement multi-tenant, l'utilisati

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Hachicha, Belghith Emna. "Supporting cloud resource allocation in configurable business process models." Electronic Thesis or Diss., Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLL007.

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Les organisations adoptent de plus en plus les Systèmes (PAIS) pour gérer leurs processus métiers basés sur les services en utilisant les modèles de processus appelés «modèles de processus métiers». Motivés par l’adaptation aux exigences commerciales et par la réduction des coûts de maintenance, les organisations externalisent leurs processus dans le Cloud Computing. Selon l'Institut NIST, Cloud Computing est un modèle qui permet aux fournisseurs de partager leurs ressources et aux utilisateurs d’y accéder de manière pratique et à la demande. Dans un tel environnement multi-tenant, l'utilisati

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13

Asa-Awuku, Akua Asabea. "The effect of solute dissolution kinetics on cloud droplet formation." Thesis, Georgia Institute of Technology, 2006. http://hdl.handle.net/1853/10456.

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This study focuses on the importance of solute dissolution kinetics for cloud droplet formation. To comprehensively account for the kinetics, a numerical model of the process was developed. Simulations of cloud droplet growth were performed for solute diffusivity, droplet growth rates, dry particle and droplet diameters relevant for ambient conditions. Simulations suggest that high ambient supersaturations and a decrease in solute diffusivity are major contributors to significant decreases in effective solute surface concentrations. The numerical simulations were incorporated into Khler theor

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14

Morales, Betancourt Ricardo. "On the representation of sub-grid scale phenomena and its impact on clouds properties and climate." Diss., Georgia Institute of Technology, 2013. http://hdl.handle.net/1853/50373.

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This thesis addresses a series of questions related to the problem of achieving reliable and physically consistent representations of aerosol-cloud interaction in global circulation models (GCM). In-situ data and modeling tools are used to develop and evaluate novel parameterization schemes for the process of aerosol activation for applications in GCM simulations. Atmospheric models of different complexity were utilized, ranging from detailed Lagrangian parcel model simulations of the condensational growth of droplets, to one-dimensional single column model with aerosol and cloud microphysics

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15

Matthews, N. "Models of molecular line emission from star formation regions." Thesis, University of Kent, 1986. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.381427.

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16

Jakob, Christian. "The representation of cloud cover in atmospheric general circulation models." Diss., lmu, 2001. http://nbn-resolving.de/urn:nbn:de:bvb:19-3281.

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17

Eckart, Benjamin. "Compact Generative Models of Point Cloud Data for 3D Perception." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1089.

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One of the most fundamental tasks for any robotics application is the ability to adequately assimilate and respond to incoming sensor data. In the case of 3D range sensing, modern-day sensors generate massive quantities of point cloud data that strain available computational resources. Dealing with large quantities of unevenly sampled 3D point data is a great challenge for many fields, including autonomous driving, 3D manipulation, augmented reality, and medical imaging. This thesis explores how carefully designed statistical models for point cloud data can facilitate, accelerate, and unify ma

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18

Alshammari, Dhahi. "Evaluation of cloud computing modelling tools : simulators and predictive models." Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/41050/.

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Experimenting with novel algorithms and configurations for the automatic management of Cloud Computing infrastructures is expensive and time consuming on real systems. Cloud computing delivers the benefits of using virtualisation techniques to data centers instead of physical servers for customers. However, it is still complex for researchers to test and run their experiments on data center due to the cost for repeating the experiments. To address this, various tools are available to enable simulators, emulators, mathematical models, statistical models and benchmarking. Despite this, there are

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19

SILVA, Francisco Airton Pereira da. "Improving mobile cloud performance using offloading techniques and stochastic models." Universidade Federal de Pernambuco, 2017. https://repositorio.ufpe.br/handle/123456789/25228.

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Submitted by Pedro Barros (pedro.silvabarros@ufpe.br) on 2018-07-25T19:16:52Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) TESE Francisco Airton Pereira da Silva.pdf: 2998424 bytes, checksum: 8df4a1b21e2f71a7f45ba9085dd9553f (MD5)<br>Approved for entry into archive by Alice Araujo (alice.caraujo@ufpe.br) on 2018-07-26T22:10:09Z (GMT) No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) TESE Francisco Airton Pereira da Silva.pdf: 2998424 bytes, checksum: 8df4a1b21e2f71a7f45ba9085dd9553f (MD5)<br>Made

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Menon, Surabo, Jean-Louis Brenguier, Olivier Boucher, et al. "Evaluating aerosol/cloud/radiation process parameterizations with single-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations: Evaluating aerosol/cloud/radiation process parameterizations withsingle-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations." Wiley, 2003. https://ul.qucosa.de/id/qucosa%3A13455.

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The Second Aerosol Characterization Experiment (ACE-2) data set along with ECMWF reanalysis meteorological fields provided the basis for the single column model (SCM) simulations, performed as part of the PACE (Parameterization of the Aerosol Indirect Climatic Effect) project. Six different SCMs were used to simulate ACE-2 case studies of clean and polluted cloudy boundary layers, with the objective being to identify limitations of the aerosol/cloud/radiation interaction schemes within the range of uncertainty in in situ, reanalysis and satellite retrieved data. The exercise proceeds in three

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21

Menon, Surabo, Jean-Louis Brenguier, Olivier Boucher, et al. "Evaluating aerosol/cloud/radiation process parameterizations with single-column models and Second Aerosol Characterization Experiment (ACE-2) cloudy column observations." Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-177303.

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The Second Aerosol Characterization Experiment (ACE-2) data set along with ECMWF reanalysis meteorological fields provided the basis for the single column model (SCM) simulations, performed as part of the PACE (Parameterization of the Aerosol Indirect Climatic Effect) project. Six different SCMs were used to simulate ACE-2 case studies of clean and polluted cloudy boundary layers, with the objective being to identify limitations of the aerosol/cloud/radiation interaction schemes within the range of uncertainty in in situ, reanalysis and satellite retrieved data. The exercise proceeds in three

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22

Di, Sheng, and 狄盛. "Optimal divisible resource allocation for self-organizing cloud." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2011. http://hub.hku.hk/bib/B4703130X.

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23

Kirov, Slav. "Models and Methods for One-Dimensional Approximations to Point Cloud Data." Research Showcase @ CMU, 2017. http://repository.cmu.edu/dissertations/1051.

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In this thesis we investigate the problem of approximating point cloud data, or more generally, measures, by one-dimensional objects. Our approach is variational, as we will study certain functionals and the extent to which their minimizers (of finite length) can provide adequate approximations to data. In the first part of this thesis, the approximating objects we consider are curves, and our main goals are to understand their behavior and provide a robust and efficient algorithm for computing them. Aside from data analysis applications in which we assume data to have a one-dimensional struct

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24

Hedley, Mark. "The effects of lateral boundary conditions on a two-dimensional cloud model /." Thesis, McGill University, 1986. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=65503.

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25

Diskin, Yakov. "Volumetric Change Detection Using Uncalibrated 3D Reconstruction Models." University of Dayton / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1429293660.

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26

Fountoukis, Christos. "Continued Development of a Cloud Droplet Formation Parameterization for Global Climate Models." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7158.

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This study presents continued development of the Nenes and Seinfeld (2003) cloud droplet activation parameterization. First, we expanded the formulation to i) allow for a lognormal representation of aerosol size distribution, and, ii) include a size-dependant mass transfer coefficient for the growth of water droplets to accommodate the effect of size (and potentially organic films) on the droplet growth rate. The performance of the new scheme is evaluated by comparing the parameterized cloud droplet number concentration with that of a detailed numerical activation cloud parcel model. The resul

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27

Lindeman, Victor. "An Analysis of Cloud-Based Machine Learning Models for Traffic-Sign Classification." Thesis, Linköpings universitet, Kommunikations- och transportsystem, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160022.

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The machine learning method deep neural networks are commonly used for artificial intelligence applications such as speech recognition, robotics, and computer vision. Deep neural networks often have very good accuracy, the downside is the complexity of the computations. To be able to use deep neural network models on devices with less computing power, such as smart-phones e.g., can the model run on the cloud and send the results to the device. This thesis will evaluate the possibility to use a smart-phone as a camera unit with Googles open source neural network called Inception, to identify t

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28

Sherrell, S. J. "The validation of two box models predicting dense gas dispersion with experimental data." Thesis, University of Liverpool, 1988. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.233823.

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29

McCaa, James Robert. "A new parameterization of marine stratocumulus and shallow cumulus clouds for climate models /." Thesis, Connect to this title online; UW restricted, 2001. http://hdl.handle.net/1773/10019.

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30

Grankvist, Ola. "Recognition and Registration of 3D Models in Depth Sensor Data." Thesis, Linköpings universitet, Datorseende, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131452.

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Object Recognition is the art of localizing predefined objects in image sensor data. In this thesis a depth sensor was used which has the benefit that the 3D pose of the object can be estimated. This has applications in e.g. automatic manufacturing, where a robot picks up parts or tools with a robot arm. This master thesis presents an implementation and an evaluation of a system for object recognition of 3D models in depth sensor data. The system uses several depth images rendered from a 3D model and describes their characteristics using so-called feature descriptors. These are then matched wi

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31

Palhares, André Vitor de Almeida. "Probabilistic Risk Assessment in Clouds: Models and Algorithms." Universidade Federal de Pernambuco, 2012. https://repositorio.ufpe.br/handle/123456789/10423.

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Submitted by Pedro Henrique Rodrigues (pedro.henriquer@ufpe.br) on 2015-03-04T17:17:29Z No. of bitstreams: 2 dissert-avap.pdf: 401311 bytes, checksum: 5bd3f82323bd612e8265a6ab8a55eda0 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5)<br>Made available in DSpace on 2015-03-04T17:17:29Z (GMT). No. of bitstreams: 2 dissert-avap.pdf: 401311 bytes, checksum: 5bd3f82323bd612e8265a6ab8a55eda0 (MD5) license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Previous issue date: 2012-03-08<br>Cloud reliance is critical to its success. Although fault-tolera

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Leon, Franck. "La construction des Business Models des fournisseurs de services d'infrastructure Cloud Computing (IaaS)." Thesis, Nice, 2015. http://www.theses.fr/2015NICE0006/document.

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L’émergence du Cloud Computing change le paysage des infrastructures qui soutiennent les systèmes informatiques. L’originalité du Cloud Computing réside avant tout dans l’offre d’un nouveau mode de consommation proposé aux clients: les ressources informatiques en tant que service à la demande. Les fournisseurs de "hardware" et de "software" qui ont historiquement fondé leurs revenus sur la vente de produits matériels et de licences logiciels ont fait face à un changement de leurs modèles de revenus, et donc à considérer de nouveau Business Models. Ce travail révèle que les fournisseurs de serv

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33

Zhang, Tao. "Vehicular Cloud: Stochastic Analysis of Computing Resources in a Road Segment." Thesis, Université d'Ottawa / University of Ottawa, 2016. http://hdl.handle.net/10393/34793.

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Intelligent transportation systems aim to provide innovative applications and services relating to traffic management and enable ease of access to information for various system users. The intent to utilize the excessive on-board resources in the transportation system, along with the latest computing resource management technology in conventional clouds, has cultivated the concept of the Vehicular Cloud. Evolved from Vehicular Networks, the vehicular cloud can be formed by vehicles autonomously, and provides a large number of applications and services that can benefit the entire transportation

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Köhler, Carmen. "Cloud ice particle nucleation and atmospheric ice supersaturation in numerical weather prediction models." Diss., Ludwig-Maximilians-Universität München, 2013. http://nbn-resolving.de/urn:nbn:de:bvb:19-166085.

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Cirrus cloud genesis is a multiscale problem. This makes the parameterization in numerical weather prediction models a challenging task. In order to improve the prediction of cirrus clouds and ice supersaturation formation in the German Weather Service (DWD) model chain, the controlling physical processes are investigated and parameterised in a new cloud ice microphysics scheme. Scale dependencies of the ice microphysical scheme were assessed by conducting simulations with an idealised and realistic regional Consortium for Small-Scale Modeling (COSMO) model setup and a global model (GME). The

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35

Corbel, Christophe. "Correlation between atmospheric stability, dynamics, and cloud properties in observations, re-analyses, and models." Thesis, University of British Columbia, 2012. http://hdl.handle.net/2429/41726.

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Clouds, especially low clouds, are key to our ability to understand and predict climate. They are an important component of the physical climate system and contribute significantly to the difference in climate projections by General Circulation Models (GCMs). Cloud predictors, such as atmospheric stability and large-scale circulation, are often used in model parametrizations. This thesis evaluates the performance of the latest Canadian atmospheric GCM (CanAM-4.1), in particular with respect to its cloud simulation. Its output is compared to observations, re-analyses, and its predecessor (A

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Challita, Stéphanie. "Inferring models from cloud APIs and reasoning over them : a tooled and formal approach." Thesis, Lille 1, 2018. http://www.theses.fr/2018LIL1I069/document.

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Avec l’avènement de l’informatique en nuage, différents fournisseurs offrant des services en nuage et des interfaces de programmation d’applications (APIs) hétérogènes sont apparus. Cette hétérogénéité complique la mise en œuvre d’un système de multi-nuages interopérable. Parmi les solutions pour l’interopérabilité de multi-nuages, l’Ingénierie Dirigée par les Modèles (IDM) s’est révélée avantageuse. Cependant, la plupart des solutions IDM existantes pour l’informatique en nuage ne sont pas représentatives des APIs et manquent de formalisation. Pour remédier à ces limitations, je présente dans

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Akinbi, Olushola Alexander. "An adaptive security framework for evaluating and assessing security implementations in PaaS cloud models." Thesis, Edge Hill University, 2015. http://repository.edgehill.ac.uk/7762/.

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The security risks of cloud computing and ambiguity of security mechanisms implemented on an ondemand cloud service such as Platform-as-a-Service (PaaS), continues to raise concerns by cloud consumers. These concerns continue to hinder the adoption of the potentials offered by provisioning of computer resources of this scale. It also indicates a lot needs to be done to improve security controls implemented on cloud computing services as a whole. There is the need to understand and evaluate security mechanisms and controls implemented to preserve the confidentiality, integrity and availability

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Nogherotto, Rita. "A numerical framework for multiple phase cloud microphysics in regional and global atmospheric models." Doctoral thesis, Università degli studi di Trieste, 2015. http://hdl.handle.net/10077/11140.

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2012/2013<br>The Regional Climate Model RegCM4 (Giorgi et al., 2012) treats nonconvective clouds and precipitation following the Subgrid Explicit SUBEX param- eterization (Pal et al., 2000). This scheme includes a simple representation for the formation of raindrops and solves diagnostically the precipitation: rain forms when the cloud water content exceeds the autoconversion threshold, that is an increasing function of the temperature and assumes different values over the land and over the ocean to account for the difference in number of the cloud condensation nuclei over continental and ocea

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Quinton, Clément. "Cloud environment selection and configuration : a software product lines-based approach." Thesis, Lille 1, 2014. http://www.theses.fr/2014LIL10079/document.

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Pour tirer pleinement profit des avantages liés au déploiement dans les nuages, les applications doivent s’exécuter sur des environnements configurés de façon à répondre précisément aux besoins desdites applications. Nous considérons que la sélection et la configuration d’un nuage peut s’appuyer sur une approche basée sur les Lignes de Produits Logiciels (LPLs). Les LPLs sont définies pour exploiter les points communs par la définition d’éléments réutilisables. Cette thèse propose une approche basée sur les LPLs pour sélectionner et configurer un nuage en fonction des besoins d’une application

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Kruk, N. S., Peter Hoffmann, and Armin Raabe. "Modeling of orographic precipitation events in South America to couple hydrological and atmospheric models; part 1: The simulation of rain with the Mesoscale Model GESIMA." Universitätsbibliothek Leipzig, 2017. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-222251.

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Globalmodelle sind aufgrund ihres groben Gitters (60 x 60 km) nur unzureichend in der Lage kleinskalige Prozesse (orographische Niederschlagsverstärkung) in der Atmosphäre aufzulösen. Mit Mesoskalenmodellen z.B. dem GESIMA (5 x 5 km) können deshalb die physikalische Grundlagen der Atmosphäre (Wolken- und Niederschlagsbildung) besser studiert und eine Kopplung mit hydrologischen Abflussmodellen erprobt werden. Zukünftig sieht dieses Projekt genau das vor, wobei der erste Teil, die Arbeit mit dem meteorologische Modell hier vorgestellt werden soll. Starkniederschlagserreignisse sind vielerorts a

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Aridhi, Sabeur. "Distributed frequent subgraph mining in the cloud." Phd thesis, Université Blaise Pascal - Clermont-Ferrand II, 2013. http://tel.archives-ouvertes.fr/tel-00951350.

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Recently, graph mining approaches have become very popular, especially in certain domains such as bioinformatics, chemoinformatics and social networks. One of the most challenging tasks in this setting is frequent subgraph discovery. This task has been highly motivated by the tremendously increasing size of existing graph databases. Due to this fact, there is urgent need of efficient and scaling approaches for frequent subgraph discovery especially with the high availability of cloud computing environments. This thesis deals with distributed frequent subgraph mining in the cloud. First, we pro

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Chen, Cong. "High-Dimensional Generative Models for 3D Perception." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103948.

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Modern robotics and automation systems require high-level reasoning capability in representing, identifying, and interpreting the three-dimensional data of the real world. Understanding the world's geometric structure by visual data is known as 3D perception. The necessity of analyzing irregular and complex 3D data has led to the development of high-dimensional frameworks for data learning. Here, we design several sparse learning-based approaches for high-dimensional data that effectively tackle multiple perception problems, including data filtering, data recovery, and data retrieval. The fram

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Jones, David C. "Validation of scattering microwave radiative transfer models using an aircraft radiometer and ground-based radar." Thesis, University of Reading, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.284065.

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Lee, Graham Kim Huat. "Glass rain : modelling the formation, dynamics and radiative-transport of cloud particles in hot Jupiter exoplanet atmospheres." Thesis, University of St Andrews, 2017. http://hdl.handle.net/10023/11740.

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The atmospheres of exoplanets are being characterised in increasing detail by observational facilities and will be examined with even greater clarity with upcoming space based missions such as the James Webb Space Telescope (JWST) and the Wide Field InfraRed Survey Telescope (WFIRST). A major component of exoplanet atmospheres is the presence of cloud particles which produce characteristic observational signatures in transit spectra and influence the geometric albedo of exoplanets. Despite a decade of observational evidence, the formation, dynamics and radiative-transport of exoplanet atmosphe

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Baró, Esteban Rocío. "Analysis of the aerosol-radiation-cloud interactions through the use of regional climate/chemistry coupled models." Doctoral thesis, Universitat Politècnica de Catalunya, 2017. http://hdl.handle.net/10803/461152.

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The response of the climate systems to aerosols and their effect on the radiative budget of the Earth is the most uncertain climate feedback and one of the key topics in climate change mitigation. Air quality-climate studies (AQCI) are a key, but uncertain contributor to the anthropogenic forcing that remains poorly understood. To build confidence in the AQCI studies, regional-scale integrated meteorology-atmospheric chemistry models are in demand. The main objective of the present Thesis is the characterization of the uncertainties in the climate-chemistry-aerosol-cloud-radiation system assoc

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Bräuer, Peter. "Extension and application of a tropospheric aqueous phase chemical mechanism (CAPRAM) for aerosol and cloud models." Doctoral thesis, Universitätsbibliothek Leipzig, 2015. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-183743.

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The ubiquitous abundance of organic compounds in natural and anthorpogenically influenced eco-systems has put these compounds into the focus of atmospheric research. Organic compounds have an impact on air quality, climate, and human health. Moreover, they affect particle growth, secondary organic aerosol (SOA) formation, and the global radiation budget by altering particle properties. To investigate the multiphase chemistry of organic compounds and interactions with the aqueous phase in the troposphere, modelling can provide a useful tool. The oxidation of larger organic molecules to the fina

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Chitic, Stefan-Gabriel. "Middleware and programming models for multi-robot systems." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI018/document.

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Malgré de nombreuses années de travail en robotique, il existe toujours un manque d’architecture logicielle et de middleware stables pour les systèmes multi-robot. Un intergiciel robotique devrait être conçu pour faire abstraction de l’architecture matérielle de bas niveau, faciliter la communication et l’intégration de nouveaux logiciels. Cette thèse se concentre sur le middleware pour systèmes multi-robot et sur la façon dont nous pouvons améliorer les frameworks existantes dans un contexte multi-robot en ajoutant des services de coordination multi-robot, des outils de développement et de dé

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González, Barrameda José Andrés. "Novel Application Models and Efficient Algorithms for Offloading to Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2017. http://hdl.handle.net/10393/36469.

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The application offloading problem for Mobile Cloud Computing aims at improving the mobile user experience by leveraging the resources of the cloud. The execution of the mobile application is offloaded to the cloud, saving energy at the mobile device or speeding up the execution of the application. We improve the accuracy and performance of application offloading solutions in three main directions. First, we propose a novel fine-grained application model that supports complex module dependencies such as sequential, conditional and parallel module executions. The model also allows for multiple

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Aydin, Betül. "Connecting Semantic 3D Models to the LOD Cloud for Mobile Applications : discovering the Surroundings with ARCAMA- 3D." Thesis, Université Grenoble Alpes (ComUE), 2015. http://www.theses.fr/2015GREAM072/document.

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Découvrir les environs tout en marchant à l'aide d'un appareil mobile est désormais possible en associant les nouvelles technologies telles que la réalité augmentée (RA) et les services basés sur la localisation. De nombreuses applications mobiles ont été conçues à cet effet récemment. Les environs d'un utilisateur en mouvement sont présentés sur l'écran de son appareil mobile en utilisant les données de géo-localisation et elle peut interagir avec son environnement grâce à une couche d'information numérique superposée sur la scène capturée. Toutefois, la quantité d'informations géo-référencée

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Trabucchi, Michele. "New models of pulsating red giant stars: application to Long-Period Variables in the Large Magellanic Cloud." Doctoral thesis, Università degli studi di Padova, 2018. http://hdl.handle.net/11577/3424579.

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Stars of low and intermediate mass (0.9 ≲ M/M ⊙ ≲ 8) develop an electron-degenerate CO core after the core He-burning phase, and experience the thermally pulsing asymptotic giant branch phase (TP-AGB) as they approach the end of their evolution. Although very short lived, TP-AGB stars are of paramount importance in the study of stellar populations and galaxy evolution. In fact, being intrinsically very bright, they provide a significant contribution to the total luminosity of single stellar populations, and galaxies in general. Most of their radiation is emitted at infrared wavelengths, a spe

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