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Littérature scientifique sur le sujet « The cloud »

Auteur : Grafiati
Publié le 4 juin 2021
Mis à jour le 26 janvier 2023

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Articles de revues sur le sujet "The cloud"

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Koren, I., L. Oreopoulos, G. Feingold, L. A. Remer, and O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics Discussions 8, no. 2 (2008): 6379–407. http://dx.doi.org/10.5194/acpd-8-6379-2008.

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Abstract. The interplay between clouds and aerosols and their contribution to the radiation budget is one of the largest uncertainties of climate change. Most work to date has separated cloudy and cloud-free areas in order to evaluate the individual radiative forcing of aerosols, clouds, and aerosol effects on clouds. Here we examine the size distribution and the optical properties of small, sparse cumulus clouds and the associated optical properties of what is considered a cloud-free atmosphere within the cloud field. We show that any separation between clouds and cloud free atmosphere will i
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Koren, I., L. Oreopoulos, G. Feingold, L. A. Remer, and O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics 8, no. 14 (2008): 3855–64. http://dx.doi.org/10.5194/acp-8-3855-2008.

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Abstract. The interplay between clouds and aerosols and their contribution to the radiation budget is one of the largest uncertainties of climate change. Most work to date has separated cloudy and cloud-free areas in order to evaluate the individual radiative forcing of aerosols, clouds, and aerosol effects on clouds. Here we examine the size distribution and the optical properties of small, sparse cumulus clouds and the associated optical properties of what is considered a cloud-free atmosphere within the cloud field. We show that any separation between clouds and cloud free atmosphere will i
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Li, J., Z. Wu, Z. Hu, Y. Zhang, and M. Molinier. "AUTOMATIC CLOUD DETECTION METHOD BASED ON GENERATIVE ADVERSARIAL NETWORKS IN REMOTE SENSING IMAGES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 885–92. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-885-2020.

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Abstract. Clouds in optical remote sensing images seriously affect the visibility of background pixels and greatly reduce the availability of images. It is necessary to detect clouds before processing images. In this paper, a novel cloud detection method based on attentive generative adversarial network (Auto-GAN) is proposed for cloud detection. Our main idea is to inject visual attention into the domain transformation to detect clouds automatically. First, we use a discriminator (D) to distinguish between cloudy and cloud free images. Then, a segmentation network is used to detect the differ
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Coakley, James A., Michael A. Friedman, and William R. Tahnk. "Retrieval of Cloud Properties for Partly Cloudy Imager Pixels." Journal of Atmospheric and Oceanic Technology 22, no. 1 (2005): 3–17. http://dx.doi.org/10.1175/jtech-1681.1.

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Abstract Retrievals of cloud properties from satellite imagery often invoke the assumption that the fields of view are overcast when cloud-contaminated, even though a significant fraction are only partially cloud-covered. The overcast assumption leads to biases in the retrieved cloud properties: cloud amounts and droplet effective radii are typically overestimated, while visible optical depths, cloud altitudes, cloud liquid water amounts, and column droplet number concentrations are typically underestimated. In order to estimate these biases, a retrieval scheme was developed to obtain the prop
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Mieslinger, Theresa, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth, and Stefan A. Buehler. "Optically thin clouds in the trades." Atmospheric Chemistry and Physics 22, no. 10 (2022): 6879–98. http://dx.doi.org/10.5194/acp-22-6879-2022.

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Abstract. We develop a new method to describe the total cloud cover including optically thin clouds in trade wind cumulus cloud fields. Climate models and large eddy simulations commonly underestimate the cloud cover, while estimates from observations largely disagree on the cloud cover in the trades. Currently, trade wind clouds significantly contribute to the uncertainty in climate sensitivity estimates derived from model perturbation studies. To simulate clouds well, especially how they change in a future climate, we have to know how cloudy it is. In this study we develop a method to quanti
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Sun, J., H. Leighton, M. K. Yau, and P. Ariya. "Numerical evidence for cloud droplet nucleation at the cloud-environment interface." Atmospheric Chemistry and Physics Discussions 12, no. 7 (2012): 17723–42. http://dx.doi.org/10.5194/acpd-12-17723-2012.

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Abstract. Cumulus clouds have long been recognized as being the results of ascending moist air from below the cloud base. Cloud droplet nucleation is understood to take place near the cloud base and inside accelerating rising cloudy air. Here we describe circumstances under which cloud droplet nucleation takes place at the interface of ascending cloudy air and clear air. Evaporation is normally expected to occur at this interface. However, continuity of moving air requires cloud-free air above the boundary of rising cloudy air to move upwards in response to the gradient force of perturbation p
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Sun, J., H. Leighton, M. K. Yau, and P. Ariya. "Numerical evidence for cloud droplet nucleation at the cloud-environment interface." Atmospheric Chemistry and Physics 12, no. 24 (2012): 12155–64. http://dx.doi.org/10.5194/acp-12-12155-2012.

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Abstract. Cumulus clouds have long been recognized as being the results of ascending moist air from below the cloud base. Cloud droplet nucleation is understood to take place near the cloud base and inside accelerating rising cloudy air. Here we describe circumstances under which cloud droplet nucleation takes place at the interface of ascending cloudy air and clear air. Evaporation is normally expected to occur at this interface. However, continuity of moving air requires cloud-free air above the boundary of rising cloudy air to move upwards in response to the gradient force of perturbation p
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Lu, Shiming, Mingjun He, Shuangyan He, et al. "An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters." Remote Sensing 13, no. 14 (2021): 2722. http://dx.doi.org/10.3390/rs13142722.

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Clouds severely hinder the radiative transmission of visible light; thus, correctly masking cloudy and non-cloudy pixels is a preliminary step in processing ocean color remote sensing data. However, cloud masking over turbid waters is prone to misjudgment, leading to loss of non-cloudy pixel data. This research proposes an improved cloud masking method over turbid water to classify cloudy and non-cloudy pixels based on spectral variability of Rayleigh-corrected reflectance acquired by the Geostationary Ocean Color Imager (GOCI). Compared with other existing cloud masking methods, we demonstrat
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Kim, Hye-Sil, Bryan A. Baum, and Yong-Sang Choi. "Use of spectral cloud emissivities and their related uncertainties to infer ice cloud boundaries: methodology and assessment using CALIPSO cloud products." Atmospheric Measurement Techniques 12, no. 9 (2019): 5039–54. http://dx.doi.org/10.5194/amt-12-5039-2019.

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Abstract. Satellite-imager-based operational cloud property retrievals generally assume that a cloudy pixel can be treated as being plane-parallel with horizontally homogeneous properties. This assumption can lead to high uncertainties in cloud heights, particularly for the case of optically thin, but geometrically thick, clouds composed of ice particles. This study demonstrates that ice cloud emissivity uncertainties can be used to provide a reasonable range of ice cloud layer boundaries, i.e., the minimum to maximum heights. Here ice cloud emissivity uncertainties are obtained for three IR c
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Massons, J., D. Domingo, and J. Lorente. "Seasonal cycle of cloud cover analyzed using Meteosat images." Annales Geophysicae 16, no. 3 (1998): 331–41. http://dx.doi.org/10.1007/s00585-998-0331-3.

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Abstract. A cloud-detection method was used to retrieve cloudy pixels from Meteosat images. High spatial resolution (one pixel), monthly averaged cloud-cover distribution was obtained for a 1-year period. The seasonal cycle of cloud amount was analyzed. Cloud parameters obtained include the total cloud amount and the percentage of occurrence of clouds at three altitudes. Hourly variations of cloud cover are also analyzed. Cloud properties determined are coherent with those obtained in previous studies.Key words. Cloud cover · Meteosat
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Thèses sur le sujet "The cloud"

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Šťastný, Jan. "Řízení projektů v cloudu." Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193783.

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Goal of this thesis is to provide a summary of information connected to cloud project management. The thesis describes, what cloud is, what types of cloud there are and also describes project management methodologies and their specifics. In the practical part of this thesis one of the methodologies is applied to a practical project. The thesis contains also a summary of practical information about cloud projects and risks associated with cloud projects.
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Szczodrak, Malgorzata. "Variability of cloud optical depth and cloud droplet effective radius in layer clouds : satellite based analysis." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk2/tape15/PQDD_0019/NQ27255.pdf.

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Ovtchinnikov, Mikhail. "An investigation of ice production mechanisms using a 3-D cloud model with explicit microphysics /." Full-text version available from OU Domain via ProQuest Digital Dissertations, 1997.

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Ng, Alexander CB. "Decision Modelling and Optimization for Enterprise Migration to Clouds." Thesis, Université d'Ottawa / University of Ottawa, 2014. http://hdl.handle.net/10393/31719.

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Many enterprises are currently exploring the possibility of migrating some or all of their IT functionalities to public clouds with the objective of reducing their overall IT service costs or to open new business frontiers. Unfortunately, making such a decision is not a straightforward task; it requires a vigorous evaluation of the various benefits, risks and costs associated with the migration of their diverse business processes that comprise of their current IT services. Yet, this problem has received very little attention in the literature, mainly due to its interdisciplinary nature. This
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Grahn, Cecilia, and Martin Sund. "Cloud computing - Moving to the cloud." Thesis, Högskolan Dalarna, Informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12916.

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Cloud computing innebär användning av datorresurser som är tillgängliga via ett nätverk, oftast Internet och är ett område som har vuxit fram i snabb takt under de senaste åren. Allt fler företag migrerar hela eller delar av sin verksamhet till molnet. Sogeti i Borlänge har behov av att migrera sina utvecklingsmiljöer till en molntjänst då drift och underhåll av dessa är kostsamma och tidsödande. Som Microsoftpartners vill Sogeti använda Microsoft tjänst för cloud computing, Windows Azure, för detta syfte. Migration till molnet är ett nytt område för Sogeti och de har inga beskrivningar för hu
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McLeod, Andrew. "Instabilities in supersonic cloud-cloud collisions." Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38842/.

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We study the effects of the supersonic collision of molecular clouds using smoothed particle hydrodynamics (SPH) simulations. We review the observational evidence for cloud-cloud collision and previous computational work. We describe the SPH method, the algorithms used in the SPH code SEREN, and how we have extended the parallelization of SEREN. We review the non-linear thin shell instability (NTSI) and gravitational instability in a shock-compressed layer. We present the results of two sets of SPH simulations. In the first set of simulations we collide supersonic flows of gas without self-gra
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Cappelli, Gino. "Data cloud through google cloud storage." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3032/.

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Il Cloud Storage è un modello di conservazione dati su computer in rete, dove i dati stessi sono memorizzati su molteplici server, reali e/o virtuali, generalmente ospitati presso strutture di terze parti o su server dedicati. Tramite questo modello è possibile accedere alle informazioni personali o aziendali, siano essi video, fotografie, musica, database o file in maniera “smaterializzata”, senza conoscere l’ubicazione fisica dei dati, da qualsiasi parte del mondo, con un qualsiasi dispositivo adeguato. I vantaggi di questa metodologia sono molteplici: infinita capacita’ di spazio di m
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Sotiriadis, Stelios. "The inter-cloud meta-scheduling." Thesis, University of Derby, 2013. http://hdl.handle.net/10545/299501.

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Inter-cloud is a recently emerging approach that expands cloud elasticity. By facilitating an adaptable setting, it purposes at the realization of a scalable resource provisioning that enables a diversity of cloud user requirements to be handled efficiently. This study’s contribution is in the inter-cloud performance optimization of job executions using metascheduling concepts. This includes the development of the inter-cloud meta-scheduling (ICMS) framework, the ICMS optimal schemes and the SimIC toolkit. The ICMS model is an architectural strategy for managing and scheduling user services in
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Brooks, Christopher David. "Underwater Clouds Utilizing Private Cloud Architecture Aboard U.S. Submarines." Thesis, Monterey, California. Naval Postgraduate School, 2012. http://hdl.handle.net/10945/7312.

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The Consolidated Afloat Network and Enterprise Systems (CANES) program was tasked with replacing computer networks afloat, to both improve productivity and functionality of the fleets Information Technology infrastructure. The program, in its first iteration, fails to include half the ships currently in service and is limited to a small number of specific platforms. Upgrading the existing software on the current platforms may pose a useful resolution to this issue. The computer networks on board submarines provide a good opportunity to explore how cloud computing could benefit older platforms.
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Karlsson, Karl-Göran. "The use of a satellite-derived cloud climatology for studying cloud-aerosol processes and the performance of regional cloud climate simulations." Doctoral thesis, Stockholm University, Department of Meteorology, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1364.

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<p>The entry of satellite-derived decadal cloud datasets with homogeneous coverage in time and space enables studies not possible before. This thesis presents two such applications. The first study deals with cloud-aerosol processes and the second with an evaluation of cloud simulations from a regional climate model.</p><p>The first part of the thesis describes the used satellite-derived dataset based on imagery from the Advanced Very High Resolution Radiometer (AVHRR) on the polar orbiting NOAA satellites. A method for cloud retrieval and the compilation of a 1991-2000 Scandinavian cloud clim
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Livres sur le sujet "The cloud"

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Douglas, Ellen. Black cloud, white cloud. University Press of Mississippi, 1989.

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Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2021. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2.

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Luo, Min, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2018. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94295-7.

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Da Silva, Dilma, Qingyang Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4.

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Zhang, Qi, Yingwei Wang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2020. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59635-4.

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Ye, Kejiang, and Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2022. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23498-9.

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illustrator, Catlett Stephanie, ed. Little Cloud and the bully clouds. Appelbaum Training Institute, Inc., 2013.

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Vorobʹev, V. I. Makrostruktura oblachnogo pokrova severnogo polusharii͡a︡. Izd-vo Leningradskogo universiteta, 1990.

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Bai︠a︡nov, I. M. Cloud formation. Nova Science Publishers, 2011.

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Waschke, Marvin. Cloud standards: Agreements that hold together clouds. CA Press, 2012.

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Chapitres de livres sur le sujet "The cloud"

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Slingo, A. "Clouds, Cloud Observations and Cloud Feedbacks." In Remote Sensing and Global Climate Change. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79287-8_12.

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Veikherman, Dmitry, Amit Aides, Yoav Y. Schechner, and Aviad Levis. "Clouds in the Cloud." In Computer Vision -- ACCV 2014. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16817-3_43.

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Huang, Junjian, Yubin Zhao, XiaoFan Li, and Cheng-Zhong Xu. "Ultra-Low Power Localization System Using Mobile Cloud Computing." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_1.

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Cheng, Hsin-Pai, Patrick Yu, Haojing Hu, et al. "Towards Decentralized Deep Learning with Differential Privacy." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_10.

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Xu, Hailu, Liting Hu, Pinchao Liu, and Boyuan Guan. "Exploiting the Spam Correlations in Scalable Online Social Spam Detection." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_11.

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Lin, Peng, Kejiang Ye, and Cheng-Zhong Xu. "Dynamic Network Anomaly Detection System by Using Deep Learning Techniques." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_12.

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Marquez, Jack D., Juan D. Gonzalez, and Oscar H. Mondragon. "Heterogeneity-Aware Data Placement in Hybrid Clouds." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_13.

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Sondur, Sanjeev, and Krishna Kant. "Towards Automated Configuration of Cloud Storage Gateways: A Data Driven Approach." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_14.

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Craddock, Heather, Lakshmi Prasanna Konudula, Kun Cheng, and Gökhan Kul. "The Case for Physical Memory Pools: A Vision Paper." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_15.

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Tang, Zhuo, Wei Xiao, Bin Lu, Youfei Zuo, Yuan Zhou, and Keqin Li. "A Parallel Algorithm for Bayesian Text Classification Based on Noise Elimination and Dimension Reduction in Spark Computing Environment." In Cloud Computing – CLOUD 2019. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_16.

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Actes de conférences sur le sujet "The cloud"

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Munhoz, Vanderlei, and Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms." In Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.

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The cloud computing paradigm democratized compute infrastructure access to millions of resource-strained organizations, applying economics of scale to massively reduce infrastructure costs. In the High Performance Computing (HPC) context, the benefits of using public cloud resources make it an attractive alternative to expensive on-premises clusters, however there are several challenges and limitations. In this paper, we present HPC@Cloud: a provideragnostic software framework that comprises a set of key software tools to assist in the migration, test and execution of HPC applications in publi
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Jeon, Myung-Hoon, Dong-Joo Choi, Byoung-Dai Lee, and Namgi Kim. "Meta-cloud: A cloud of clouds." In 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6779089.

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Chandra, Deka Ganesh. "G-Cloud: The Cloud of Clouds." In 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2012. http://dx.doi.org/10.1109/pdgc.2012.6449785.

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Jiang, Haobo, Jianjun Qian, Jin Xie, and Jian Yang. "Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/107.

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Point cloud registration is a fundamental problem in 3D computer vision. In this paper, we cast point cloud registration into a planning problem in reinforcement learning, which can seek the transformation between the source and target point clouds through trial and error. By modeling the point cloud registration process as a Markov decision process (MDP), we develop a latent dynamic model of point clouds, consisting of a transformation network and evaluation network. The transformation network aims to predict the new transformed feature of the point cloud after performing a rigid transformati
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Hosangadi, A., and V. Ahuja. "A New Unsteady Model for Dense Cloud Cavitation." In ASME 2005 Fluids Engineering Division Summer Meeting. ASMEDC, 2005. http://dx.doi.org/10.1115/fedsm2005-77485.

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A new unsteady, cavitation model for dense cloud cavitation is presented wherein the phase change process (bubble growth/collapse) is coupled to the acoustic propagation in a multi-phase fluid. This cavitation model predicts the number density and radius of bubbles in vapor clouds by tracking both the aggregate surface area and volume fraction of the cloud. Hence, formulations for the dynamics of individual bubbles (e.g. Rayleigh-Plesset equation) may be integrated within the macroscopic context of a dense vapor cloud i.e. a cloud that occupies a significant fraction of available volume and co
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Matveev, Artem. "Cost-Efficient Data Privacy Protection in Multi Cloud Storage." In 3rd International Conference on Data Mining and Machine Learning (DMML 2022). Academy and Industry Research Collaboration Center (AIRCC), 2022. http://dx.doi.org/10.5121/csit.2022.120706.

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Data privacy in the cloud is a big concern for all of its users, especially for public clouds. Modern trends in studies utilise multiple clouds to achieve data privacy protection. Most of the present studies focus on business-oriented solutions, but current study aims to create a solution for individual users which would not increase the cost of ownership, and provide enough flexibility and privacy protection by combining password protection, key-derivation, multilayer encryption and key distribution across multiple clouds. New design allows to use single cloud to store protected user data, me
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Zhang, Mingshao, Zhou Zhang, Sven K. Esche, and Constantin Chassapis. "Algorithm Modification Approach to Improve the Kinect’s Performance in Point Cloud Processing." In ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/imece2014-37064.

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Since its introduction in 2010, Microsoft’s Kinect input device for game consoles and computers has shown its great potential in a large number of applications, including game development, research and education. Many of these implementations are still in the prototype stages and exhibit a somewhat limited performance. These limitations are mainly caused by the quality of the point clouds generated by the Kinect, which include limited range, high dependency on surface properties, shadowing, low depth accuracy, etc. One of the Kinect’s most significant limitations is the low accuracy and high e
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Zhang, Zihao, Lei Hu, Xiaoming Deng, and Shihong Xia. "Sequential 3D Human Pose Estimation Using Adaptive Point Cloud Sampling Strategy." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/184.

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3D human pose estimation is a fundamental problem in artificial intelligence, and it has wide applications in AR/VR, HCI and robotics. However, human pose estimation from point clouds still suffers from noisy points and estimated jittery artifacts because of handcrafted-based point cloud sampling and single-frame-based estimation strategies. In this paper, we present a new perspective on the 3D human pose estimation method from point cloud sequences. To sample effective point clouds from input, we design a differentiable point cloud sampling method built on density-guided attention mechanism.
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Ren, Lei, Shicheng Wang, Yijun Shen, Shikai Hong, Yudi Chen, and Lin Zhang. "3D Printing in Cloud Manufacturing: Model and Platform Design." In ASME 2016 11th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/msec2016-8669.

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Although 3D printing has attracted remarkable attention from both industry and academia society, still only a relatively small number of people have access to required 3D printers and know how to use them. One of the challenges is that how to fill the gap between the unbalanced supply of various 3D printing capabilities and the customized demands from geographically distributed customers. The integration of 3D printing into cloud manufacturing may promote the development of future smart networks of virtual 3D printing cloud, and allow a new service-oriented 3D printing business model to achiev
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Edwar, M., Shindi Marlina Oktaviani, Aipujana Tiara Santoso, et al. "Development of commercial-off-the-shelf imaging payload for cloud coverage monitoring." In Symposium on Space Educational Activities (SSAE). Universitat Politècnica de Catalunya, 2022. http://dx.doi.org/10.5821/conference-9788419184405.106.

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Locana Bhumi payload is one of the selected payloads in The 2nd GRSS Student Grand Challenge, and it will be installed in a 3U Cube Satellite. Its main mission is to monitor cloud coverage in several regions such as Indonesia, United Arab Emirates, Oman, and Australia. Clouds have a role in climate change, they are able to reflect infrared light and cool the surface of the earth that is covered by clouds. At the same time, clouds are also able to trap heat, as a result, they warm the earth. By monitoring cloud coverage over the selected areas, it is expected that we will be able to study how c
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Rapports d'organisations sur le sujet "The cloud"

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2009. http://dx.doi.org/10.21236/ada531259.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions In Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532783.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2010. http://dx.doi.org/10.21236/ada541857.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada574045.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada575522.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2013. http://dx.doi.org/10.21236/ada598037.

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Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Defense Technical Information Center, 2011. http://dx.doi.org/10.21236/ada557114.

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Morgan, Keith, Kory Edward Wegmeyer, and Ryan Daniel Iverson. Private Cloud. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1482905.

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Bartock, Michael. Trusted Cloud:. National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-19.

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Kogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada532932.

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