Literatura académica sobre el tema "E- CLOUD"
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Artículos de revistas sobre el tema "E- CLOUD"
Koren, I., L. Oreopoulos, G. Feingold, L. A. Remer y O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics Discussions 8, n.º 2 (28 de marzo de 2008): 6379–407. http://dx.doi.org/10.5194/acpd-8-6379-2008.
Texto completoKoren, I., L. Oreopoulos, G. Feingold, L. A. Remer y O. Altaratz. "How small is a small cloud?" Atmospheric Chemistry and Physics 8, n.º 14 (21 de julio de 2008): 3855–64. http://dx.doi.org/10.5194/acp-8-3855-2008.
Texto completoSchulte, Richard M., Matthew D. Lebsock y John M. Haynes. "What CloudSat cannot see: liquid water content profiles inferred from MODIS and CALIOP observations". Atmospheric Measurement Techniques 16, n.º 14 (25 de julio de 2023): 3531–46. http://dx.doi.org/10.5194/amt-16-3531-2023.
Texto completoLi, J., Z. Wu, Z. Hu, Y. Zhang y 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 (3 de agosto de 2020): 885–92. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-885-2020.
Texto completoCoakley, James A., Michael A. Friedman y William R. Tahnk. "Retrieval of Cloud Properties for Partly Cloudy Imager Pixels". Journal of Atmospheric and Oceanic Technology 22, n.º 1 (1 de enero de 2005): 3–17. http://dx.doi.org/10.1175/jtech-1681.1.
Texto completoMieslinger, Theresa, Bjorn Stevens, Tobias Kölling, Manfred Brath, Martin Wirth y Stefan A. Buehler. "Optically thin clouds in the trades". Atmospheric Chemistry and Physics 22, n.º 10 (30 de mayo de 2022): 6879–98. http://dx.doi.org/10.5194/acp-22-6879-2022.
Texto completoLu, Shiming, Mingjun He, Shuangyan He, Shuo He, Yunhe Pan, Wenbin Yin y Peiliang Li. "An Improved Cloud Masking Method for GOCI Data over Turbid Coastal Waters". Remote Sensing 13, n.º 14 (10 de julio de 2021): 2722. http://dx.doi.org/10.3390/rs13142722.
Texto completoSun, J., H. Leighton, M. K. Yau y P. Ariya. "Numerical evidence for cloud droplet nucleation at the cloud-environment interface". Atmospheric Chemistry and Physics Discussions 12, n.º 7 (18 de julio de 2012): 17723–42. http://dx.doi.org/10.5194/acpd-12-17723-2012.
Texto completoSun, J., H. Leighton, M. K. Yau y P. Ariya. "Numerical evidence for cloud droplet nucleation at the cloud-environment interface". Atmospheric Chemistry and Physics 12, n.º 24 (21 de diciembre de 2012): 12155–64. http://dx.doi.org/10.5194/acp-12-12155-2012.
Texto completoMassons, J., D. Domingo y J. Lorente. "Seasonal cycle of cloud cover analyzed using Meteosat images". Annales Geophysicae 16, n.º 3 (31 de marzo de 1998): 331–41. http://dx.doi.org/10.1007/s00585-998-0331-3.
Texto completoTesis sobre el tema "E- CLOUD"
Šťastný, Jan. "Řízení projektů v cloudu". Master's thesis, Vysoká škola ekonomická v Praze, 2014. http://www.nusl.cz/ntk/nusl-193783.
Texto completoSzczodrak, 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.
Texto completoOvtchinnikov, 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.
Buscar texto completoNg, 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.
Texto completoGrahn, Cecilia y Martin Sund. "Cloud computing - Moving to the cloud". Thesis, Högskolan Dalarna, Informatik, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:du-12916.
Texto completoCloud computing involves the use of computer resources that are available through a network, usually the Internet and it is an area that has grown rapidly in recent years. More and more companies move entire or part of their operations to the cloud.Sogeti in Borlänge needs to move their development environments to a cloud service as operating and maintaining of these are costly and time-consuming. As a Microsoft Partner, Sogeti wants to use Microsoft´s services for cloud computing, Windows Azure, for this purpose. Migration to the cloud is a new area for Sogeti and they do not have any descriptions of how this process works.Our mission was to develop an approach for the migration of an IT-solution to the cloud. Part of the mission included the identifying of cloud computing, its components, benefits and drawbacks, which lead to us acquiring basic knowledge of the subject.To develop an approach to migration, we performed several migrations of virtual machines to Windows Azure, and based on these migrations, literature studies and interviews we drew conclusions that resulted in an overall approach for migration to the cloud.The results have shown that it is difficult to make a general but detailed description of an approach to migration, as the scenario looks different depending on what to migrate and what type of cloud service is used. However, based on our experiences from our migrations, along with literature, documents and interviews we have lifted our knowledge to a general level. From this knowledge, we have compiled a general approach with greater focus on the preparatory activities that an organization should implement before migration.Our studies also resulted in an in-depth description of cloud computing. In our studies we did not find previous works in which the critical success factors have been described in the context of cloud computing. In our empirical work, we identified three critical success factors for cloud computing and in doing so covered up some of the knowledge gap in between.
McLeod, Andrew. "Instabilities in supersonic cloud-cloud collisions". Thesis, Cardiff University, 2012. http://orca.cf.ac.uk/38842/.
Texto completoCappelli, Gino. "Data cloud through google cloud storage". Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2012. http://amslaurea.unibo.it/3032/.
Texto completoBrooks, 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.
Texto completoSotiriadis, Stelios. "The inter-cloud meta-scheduling". Thesis, University of Derby, 2013. http://hdl.handle.net/10545/299501.
Texto completoKarlsson, 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.
Texto completoThe 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.
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 climatology are described.
The second part reveals an intriguing anti-correlation between monthly mean satellite-derived cloudiness and the concentration of the cosmogenetic isotope Beryllium-7 in near-surface aerosol samples for three measurement sites in Sweden. Large-scale transport processes are suggested as the most likely physical mechanism for this behaviour but more complex relations to cloud microphysical processes are not ruled out.
The final part presents a thorough evaluation of cloud simulations of the SMHI Rossby Centre regional atmospheric model (RCA3). Several model-to-satellite adaptations are applied to avoid artificial biases of results. The study stresses the necessity to account for initial differences between observed and modelled clouds caused by satellite cloud detection limitations. Results show good agreement of modelled and observed cloud amounts while the vertical distribution of clouds appears largely different. RCA3 underestimates medium-level clouds while overestimating low- and high-level clouds. Also, the current use of the Maximum cloud overlap approach in the radiation scheme and an indicated excess of cloud condensate in modelled clouds appear to create excessive cloud optical thicknesses with serious implications for the surface radiation budget.
Future applications are outlined based on greatly enhanced satellite-derived cloud and radiation budget datasets.
Libros sobre el tema "E- CLOUD"
Ye, Kejiang y Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2021. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2.
Texto completoLuo, Min y Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2018. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94295-7.
Texto completoDa Silva, Dilma, Qingyang Wang y Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2019. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4.
Texto completoZhang, Qi, Yingwei Wang y Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2020. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59635-4.
Texto completoYe, Kejiang y Liang-Jie Zhang, eds. Cloud Computing – CLOUD 2022. Cham: Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23498-9.
Texto completoDouglas, Ellen. Black cloud, white cloud. Jackson: University Press of Mississippi, 1989.
Buscar texto completoillustrator, Catlett Stephanie, ed. Little Cloud and the bully clouds. Sugar Land, Texas: Appelbaum Training Institute, Inc., 2013.
Buscar texto completoVorobʹev, V. I. Makrostruktura oblachnogo pokrova severnogo polusharii͡a︡. Leningrad: Izd-vo Leningradskogo universiteta, 1990.
Buscar texto completoBai︠a︡nov, I. M. Cloud formation. New York: Nova Science Publishers, 2011.
Buscar texto completoWaschke, Marvin. Cloud standards: Agreements that hold together clouds. Berkeley, CA: CA Press, 2012.
Buscar texto completoCapítulos de libros sobre el tema "E- CLOUD"
Slingo, A. "Clouds, Cloud Observations and Cloud Feedbacks". En Remote Sensing and Global Climate Change, 269–93. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-79287-8_12.
Texto completoVeikherman, Dmitry, Amit Aides, Yoav Y. Schechner y Aviad Levis. "Clouds in the Cloud". En Computer Vision -- ACCV 2014, 659–74. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16817-3_43.
Texto completoHuang, Junjian, Yubin Zhao, XiaoFan Li y Cheng-Zhong Xu. "Ultra-Low Power Localization System Using Mobile Cloud Computing". En Cloud Computing – CLOUD 2019, 1–10. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_1.
Texto completoCheng, Hsin-Pai, Patrick Yu, Haojing Hu, Syed Zawad, Feng Yan, Shiyu Li, Hai Li y Yiran Chen. "Towards Decentralized Deep Learning with Differential Privacy". En Cloud Computing – CLOUD 2019, 130–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_10.
Texto completoXu, Hailu, Liting Hu, Pinchao Liu y Boyuan Guan. "Exploiting the Spam Correlations in Scalable Online Social Spam Detection". En Cloud Computing – CLOUD 2019, 146–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_11.
Texto completoLin, Peng, Kejiang Ye y Cheng-Zhong Xu. "Dynamic Network Anomaly Detection System by Using Deep Learning Techniques". En Cloud Computing – CLOUD 2019, 161–76. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_12.
Texto completoMarquez, Jack D., Juan D. Gonzalez y Oscar H. Mondragon. "Heterogeneity-Aware Data Placement in Hybrid Clouds". En Cloud Computing – CLOUD 2019, 177–91. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_13.
Texto completoSondur, Sanjeev y Krishna Kant. "Towards Automated Configuration of Cloud Storage Gateways: A Data Driven Approach". En Cloud Computing – CLOUD 2019, 192–207. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_14.
Texto completoCraddock, Heather, Lakshmi Prasanna Konudula, Kun Cheng y Gökhan Kul. "The Case for Physical Memory Pools: A Vision Paper". En Cloud Computing – CLOUD 2019, 208–21. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_15.
Texto completoTang, Zhuo, Wei Xiao, Bin Lu, Youfei Zuo, Yuan Zhou y Keqin Li. "A Parallel Algorithm for Bayesian Text Classification Based on Noise Elimination and Dimension Reduction in Spark Computing Environment". En Cloud Computing – CLOUD 2019, 222–39. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23502-4_16.
Texto completoActas de conferencias sobre el tema "E- CLOUD"
Hofstadter, Mark y Andrew Heidinger. "Infrared Low-Cloud Detection". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1997. http://dx.doi.org/10.1364/orsa.1997.otub.5.
Texto completoLiu, Quan, Yunsong Zhou, Hongzi Zhu, Shan Chang y Minyi Guo. "APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction". En Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23}. California: International Joint Conferences on Artificial Intelligence Organization, 2023. http://dx.doi.org/10.24963/ijcai.2023/134.
Texto completoMunhoz, Vanderlei y Márcio Castro. "HPC@Cloud: A Provider-Agnostic Software Framework for Enabling HPC in Public Cloud Platforms". En Simpósio em Sistemas Computacionais de Alto Desempenho. Sociedade Brasileira de Computação, 2022. http://dx.doi.org/10.5753/wscad.2022.226528.
Texto completoJeon, Myung-Hoon, Dong-Joo Choi, Byoung-Dai Lee y Namgi Kim. "Meta-cloud: A cloud of clouds". En 2014 16th International Conference on Advanced Communication Technology (ICACT). Global IT Research Institute (GIRI), 2014. http://dx.doi.org/10.1109/icact.2014.6779089.
Texto completoChandra, Deka Ganesh. "G-Cloud: The Cloud of Clouds". En 2012 2nd IEEE International Conference on Parallel, Distributed and Grid Computing (PDGC). IEEE, 2012. http://dx.doi.org/10.1109/pdgc.2012.6449785.
Texto completoSpinhirne, James D., William D. Hart y Reinout Boers. "Cloud Liquid Water Derived from Lidar Observations". En Laser and Optical Remote Sensing: Instrumentation and Techniques. Washington, D.C.: Optica Publishing Group, 1987. http://dx.doi.org/10.1364/lors.1987.tub5.
Texto completoSassen, Kenneth. "Cirrus Cloud Remote Sensing Program at FARS". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb1.
Texto completoNakajima, Teruyuki y Michael D. King. "Cloud Microphysics Retrieved From Reflected Solar Radiation Measurements". En Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1990. http://dx.doi.org/10.1364/orsa.1990.wd6.
Texto completoJiang, Haobo, Jianjun Qian, Jin Xie y Jian Yang. "Planning with Learned Dynamic Model for Unsupervised Point Cloud Registration". En Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/107.
Texto completoEberhard, Wynn L. "Cloud Measurements by Coherent Lidar: Some Examples and Possibilities". En Coherent Laser Radar. Washington, D.C.: Optica Publishing Group, 1991. http://dx.doi.org/10.1364/clr.1991.wb1.
Texto completoInformes sobre el tema "E- CLOUD"
Albrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2009. http://dx.doi.org/10.21236/ada531259.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions In Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2008. http://dx.doi.org/10.21236/ada532783.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2010. http://dx.doi.org/10.21236/ada541857.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2012. http://dx.doi.org/10.21236/ada574045.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2012. http://dx.doi.org/10.21236/ada575522.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2013. http://dx.doi.org/10.21236/ada598037.
Texto completoAlbrecht, Bruce. Aerosol-Cloud-Drizzle-Turbulence Interactions in Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2011. http://dx.doi.org/10.21236/ada557114.
Texto completoMorgan, Keith, Kory Edward Wegmeyer y Ryan Daniel Iverson. Private Cloud. Office of Scientific and Technical Information (OSTI), noviembre de 2018. http://dx.doi.org/10.2172/1482905.
Texto completoBartock, Michael. Trusted Cloud:. Gaithersburg, MD: National Institute of Standards and Technology, 2022. http://dx.doi.org/10.6028/nist.sp.1800-19.
Texto completoKogan, Yefim L. Midlatitude Aerosol-Cloud-Radiation Feedbacks in Marine Boundary Layer Clouds. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2008. http://dx.doi.org/10.21236/ada532932.
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