Relevant bibliographies by topics / Cloud analysi

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cloud analysi'

Author: Grafiati
Published: 1 April 2023

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Journal articles on the topic "Cloud analysi"

1

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 (January 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 properties of clouds for partially covered imager fields of view. The partly cloudy pixel retrieval scheme is applicable to single-layered cloud systems and invokes the assumption that clouds that only partially cover a field of view are at the same altitude as nearby clouds from the same layer that completely cover imager pixels. The properties of the retrieval are illustrated through its application to 2-km Visible and Infrared Scanner (VIRS) data from the Tropical Rainfall Measuring Mission (TRMM) for a marine stratocumulus scene. The scene was chosen because the cloud properties are typical of such systems based on an analysis of VIRS data for February and March 1998. Comparisons of properties for clouds in partly cloudy pixels and those for clouds in nearby overcast pixels reveal that the optical depths and droplet effective radii are generally smaller for the clouds in the partly cloudy pixels. In addition, for pixel-scale cloud fractions between 0.2 and 0.8, optical depth, droplet effective radius, and column droplet number concentration decrease slowly with decreasing cloud cover fraction. The changes are only about 20%–30%, while cloud cover fraction changes by 80%. For comparison, changes in optical depth and column number concentration retrieved using a threshold method decrease by 80%–90%. As long as the cloud cover in partly cloudy pixels is greater than about 0.1, uncertainties in the estimates of the cloud altitudes and of the radiances for the cloud-free portions of the fields of view give rise to uncertainties in the retrieved cloud properties that are comparable to the uncertainties in the properties retrieved for overcast pixels.
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Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin. "A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat." Atmospheric Chemistry and Physics Discussions 10, no. 3 (March 30, 2010): 8247–96. http://dx.doi.org/10.5194/acpd-10-8247-2010.

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Abstract. We present a six-year global climatology of cloud properties, obtained from observations of the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) combined with CloudSat observations, both missions launched as part of the A-Train in 2006, provide a unique opportunity to evaluate the retrieved AIRS cloud properties such as cloud amount and height as well as to explore the vertical structure of different cloud types. AIRS-LMD cloud detection agrees with CALIPSO about 85% over ocean and about 75% over land. Global cloud amount has been estimated as about 66% to 74%, depending on the weighting of not cloudy AIRS footprints by partial cloud cover (0 or 0.3). 40% of all clouds are high clouds, and about 44% of all clouds are single layer low-level clouds. The "radiative" cloud height determined by the AIRS-LMD retrieval corresponds well to the height of the maximum backscatter signal and of the "apparent middle" of the cloud. Whereas the real cloud thickness of high opaque clouds often fills the whole troposphere, their "apparent" cloud thickness (at which optical depth reaches about 5) is on average only 2.5 km. The real geometrical thickness of optically thin cirrus as identified by AIRS-LMD is identical to the "apparent" cloud thickness with an average of about 2.5 km in the tropics and midlatitudes. High clouds in the tropics have slightly more diffusive cloud tops than at higher latitudes. In general, the depth of the maximum backscatter signal increases nearly linearly with increasing "apparent" cloud thickness. For the same "apparent" cloud thickness optically thin cirrus show a maximum backscatter about 10% deeper inside the cloud than optically thicker clouds. We also show that only the geometrically thickest opaque clouds and (the probably surrounding anvil) cirrus penetrate the stratosphere in the tropics.
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Stubenrauch, C. J., S. Cros, A. Guignard, and N. Lamquin. "A 6-year global cloud climatology from the Atmospheric InfraRed Sounder AIRS and a statistical analysis in synergy with CALIPSO and CloudSat." Atmospheric Chemistry and Physics 10, no. 15 (August 6, 2010): 7197–214. http://dx.doi.org/10.5194/acp-10-7197-2010.

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Abstract. We present a six-year global climatology of cloud properties, obtained from observations of the Atmospheric Infrared Sounder (AIRS) onboard the NASA Aqua satellite. Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) combined with CloudSat observations, both missions launched as part of the A-Train in 2006, provide a unique opportunity to evaluate the retrieved AIRS cloud properties such as cloud amount and height. In addition, they permit to explore the vertical structure of different cloud types. AIRS-LMD cloud detection agrees with CALIPSO about 85% over ocean and about 75% over land. Global cloud amount has been estimated from 66% to 74%, depending on the weighting of not cloudy AIRS footprints by partial cloud cover from 0 to 0.3. 42% of all clouds are high clouds, and about 42% of all clouds are single layer low-level clouds. The "radiative" cloud height determined by the AIRS-LMD retrieval corresponds well to the height of the maximum backscatter signal and of the "apparent middle" of the cloud. Whereas the real cloud thickness of high opaque clouds often fills the whole troposphere, their "apparent" cloud thickness (at which optical depth reaches about 5) is on average only 2.5 km. The real geometrical thickness of optically thin cirrus as identified by AIRS-LMD is identical to the "apparent" cloud thickness with an average of about 2.5 km in the tropics and midlatitudes. High clouds in the tropics have slightly more diffusive cloud tops than at higher latitudes. In general, the depth of the maximum backscatter signal increases nearly linearly with increasing "apparent" cloud thickness. For the same "apparent" cloud thickness optically thin cirrus show a maximum backscatter about 10% deeper inside the cloud than optically thicker clouds. We also show that only the geometrically thickest opaque clouds and (the probably surrounding anvil) cirrus penetrate the stratosphere in the tropics.
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Xia, Shuang, Alberto Mestas-Nuñez, Hongjie Xie, Jiakui Tang, and Rolando Vega. "Characterizing Variability of Solar Irradiance in San Antonio, Texas Using Satellite Observations of Cloudiness." Remote Sensing 10, no. 12 (December 12, 2018): 2016. http://dx.doi.org/10.3390/rs10122016.

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Since the main attenuation of solar irradiance reaching the earth’s surface is due to clouds, it has been hypothesized that global horizontal irradiance attenuation and its temporal variability at a given location could be characterized simply by cloud properties at that location. This hypothesis is tested using global horizontal irradiance measurements at two stations in San Antonio, Texas, and satellite estimates of cloud types and cloud layers from the Geostationary Operational Environmental Satellite (GOES) Surface and Insolation Product. A modified version of an existing solar attenuation variability index, albeit having a better physical foundation, is used. The analysis is conducted for different cloud conditions and solar elevations. It is found that under cloudy-sky conditions, there is less attenuation under water clouds than those under opaque ice clouds (optically thick ice clouds) and multilayered clouds. For cloud layers, less attenuation was found for the low/mid layers than for the high layer. Cloud enhancement occurs more frequently for water clouds and less frequently for mixed phase and cirrus clouds and it occurs with similar frequency at all three levels. The temporal variability of solar attenuation is found to decrease with an increasing temporal sampling interval and to be largest for water clouds and smallest for multilayered and partly cloudy conditions. This work presents a first step towards estimating solar energy potential in the San Antonio area indirectly using available estimates of cloudiness from GOES satellites.
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Wang, P., M. Allaart, W. H. Knap, and P. Stammes. "Analysis of actinic flux profiles measured from an ozonesonde balloon." Atmospheric Chemistry and Physics 15, no. 8 (April 21, 2015): 4131–44. http://dx.doi.org/10.5194/acp-15-4131-2015.

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Abstract. A green light sensor has been developed at KNMI to measure actinic flux profiles using an ozonesonde balloon. In total, 63 launches with ascending and descending profiles were performed between 2006 and 2010. The measured uncalibrated actinic flux profiles are analysed using the Doubling–Adding KNMI (DAK) radiative transfer model. Values of the cloud optical thickness (COT) along the flight track were taken from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) Cloud Physical Properties (CPP) product. The impact of clouds on the actinic flux profile is evaluated on the basis of the cloud modification factor (CMF) at the cloud top and cloud base, which is the ratio between the actinic fluxes for cloudy and clear-sky scenes. The impact of clouds on the actinic flux is clearly detected: the largest enhancement occurs at the cloud top due to multiple scattering. The actinic flux decreases almost linearly from cloud top to cloud base. Above the cloud top the actinic flux also increases compared to clear-sky scenes. We find that clouds can increase the actinic flux to 2.3 times the clear-sky value at cloud top and decrease it to about 0.05 at cloud base. The relationship between CMF and COT agrees well with DAK simulations, except for a few outliers. Good agreement is found between the DAK-simulated actinic flux profiles and the observations for single-layer clouds in fully overcast scenes. The instrument is suitable for operational balloon measurements because of its simplicity and low cost. It is worth further developing the instrument and launching it together with atmospheric chemistry composition sensors.
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Wang, P., M. Allaart, W. H. Knap, and P. Stammes. "Analysis of actinic flux profiles measured from an ozone sonde balloon." Atmospheric Chemistry and Physics Discussions 14, no. 22 (December 10, 2014): 31169–201. http://dx.doi.org/10.5194/acpd-14-31169-2014.

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Abstract. A green light sensor has been developed at KNMI to measure actinic flux profiles using an ozone sonde balloon. In total, 63 launches with ascending and descending profiles were performed between 2006 and 2010. The measured uncalibrated actinic flux profiles are analyzed using the Doubling Adding KNMI (DAK) radiative transfer model. Values of the cloud optical thickness (COT) along the flight track were taken from the Spinning Enhanced Visible and Infrared Imager (SEVIRI) Cloud Physical Properties (CPP) product. The impact of clouds on the actinic flux profile is evaluated on the basis of the cloud modification factor (CMF) at the cloud top and cloud base, which is the ratio between the actinic fluxes for cloudy and clear-sky scenes. The impact of clouds on the actinic flux is clearly detected: the largest enhancement occurs at the cloud top due to multiple scattering. The actinic flux decreases almost linearly from cloud top to cloud base. Above the cloud top the actinic flux also increases compared to clear-sky scenes. We find that clouds can increase the actinic flux to 2.3 times of the clear-sky value at cloud top and decrease it to about 0.05 at cloud base. The relationship between CMF and COT agrees well with DAK simulations, except for a few outliers. Good agreement is found between the DAK simulated actinic flux profiles and the observations for single layer clouds in fully overcast scenes. The instrument is suitable for operational balloon measurements because of its simplicity and low cost. It is worth to further develop the instrument and launch it together with atmospheric chemistry composition sensors.
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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 (May 30, 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 quantify the cloud cover from a cloud-free perspective. Using well-known radiative transfer relations we retrieve the cloud-free contribution in high-resolution satellite observations of trade cumulus cloud fields during EUREC4A. Knowing the cloud-free part, we can investigate the remaining cloud-related contributions consisting of areas detected by common cloud-masking algorithms and undetected areas related to optically thin clouds. We find that the cloud-mask cloud cover underestimates the total cloud cover by 33 %. Aircraft lidar measurements support our findings by showing a high abundance of optically thin clouds during EUREC4A. Mixing the undetected optically thin clouds into the cloud-free signal can cause an underestimation of the cloud radiative effect of up to −7.5 %. We further discuss possible artificial correlations in aerosol–cloud cover interaction studies that might arise from undetected optically thin low clouds. Our analysis suggests that the known underestimation of trade wind cloud cover and simultaneous overestimation of cloud brightness in models are even higher than assumed so far.
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Várnai, Tamás, and Alexander Marshak. "Analysis of Near-Cloud Changes in Atmospheric Aerosols Using Satellite Observations and Global Model Simulations." Remote Sensing 13, no. 6 (March 17, 2021): 1151. http://dx.doi.org/10.3390/rs13061151.

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This paper examines cloud-related variations of atmospheric aerosols that occur in partly cloudy regions containing low-altitude clouds. The goal is to better understand aerosol behaviors and to help better represent the radiative effects of aerosols on climate. For this, the paper presents a statistical analysis of a multi-month global dataset that combines data from the Moderate Resolution Imaging Spectroradiometer (MODIS) and Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) satellite instruments with data from the Modern-Era Retrospective analysis for Research and Applications, Version 2 (MERRA-2) global reanalysis. Among other findings, the results reveal that near-cloud enhancements in lidar backscatter (closely related to aerosol optical depth) are larger (1) over land than ocean by 35%, (2) near optically thicker clouds by substantial amounts, (3) for sea salt than for other aerosol types, with the difference from dust reaching 50%. Finally, the study found that mean lidar backscatter is higher near clouds not because of large-scale variations in meteorological conditions, but because of local processes associated with individual clouds. The results help improve our understanding of aerosol-cloud-radiation interactions and our ability to represent them in climate models and other atmospheric models.
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Yasunaga, Kazuaki, Kunio Yoneyama, Hisayuki Kubota, Hajime Okamoto, Atsushi Shimizu, Hiroshi Kumagai, Masaki Katsumata, Nobuo Sugimoto, and Ichiro Matsui. "Melting Layer Cloud Observed during R/V Mirai Cruise MR01-K05." Journal of the Atmospheric Sciences 63, no. 11 (November 1, 2006): 3020–32. http://dx.doi.org/10.1175/jas3779.1.

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Abstract In this study, cloud profiling radar and lidar were used to determine the frequency distribution of the base heights of cloudy layers with little (or no) falling condensate particles. The data were obtained from stationary observations conducted from Research Vessel Mirai over the tropical western Pacific (around 1.85°N, 138°E) from 9 November to 9 December 2001. The observed cloudy layers had base heights predominantly in the range of 4.5–6.5 km. Almost all cloudy layers with a base in the range of 4.5–6.5 km had thickness thinner than 500 m, and the frequency peak of the base heights of measured cloudy layers is considered to represent the common occurrence of midlevel thin clouds. Midlevel thin clouds were frequently observed even during the active phase of the Madden–Julian oscillation (MJO). Composite analysis of radiosonde-derived relative humidity and temperature lapse rate indicates that the midlevel thin cloud in the MJO active period is generated via melting within the stratiform cloud, rather than by detrainment of surface-based convection.
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Lin, L., X. Zou, R. Anthes, and Y.-H. Kuo. "COSMIC GPS Radio Occultation Temperature Profiles in Clouds." Monthly Weather Review 138, no. 4 (April 1, 2010): 1104–18. http://dx.doi.org/10.1175/2009mwr2986.1.

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Abstract Thermodynamic states in clouds are closely related to physical processes such as phase changes of water and longwave and shortwave radiation. Global Positioning System (GPS) radio occultation (RO) data are not affected by clouds and have high vertical resolution, making them ideally suited to cloud profiling on a global basis. By comparing the Constellation Observing System for Meteorology, Ionosphere, and Climate (COSMIC) RO refractivity data with those of the National Centers for Environmental Prediction–National Center for Atmospheric Research (NCEP–NCAR) reanalysis and ECMWF analysis for soundings in clouds and clear air separately, a systematic bias of opposite sign was found between large-scale global analyses and the GPS RO observations under cloudy and clear-sky conditions. As a modification to the standard GPS RO wet temperature retrieval that does not distinguish between cloudy- and clear-sky conditions, a new cloudy retrieval algorithm is proposed to incorporate the knowledge that in-cloud specific humidity (which affects the GPS refractivities) should be close to saturation. To implement this new algorithm, a linear regression model for a sounding-dependent relative humidity parameter α is first developed based on a high correlation between relative humidity and ice water content. In the absence of ice water content information, α takes an empirical value of 85%. The in-cloud temperature profile is then retrieved from GPS RO data modeled by a weighted sum of refractivities with and without the assumption of saturation. Compared to the standard wet retrieval, the cloudy temperature retrieval is consistently warmer within clouds by ∼2 K and slightly colder near the cloud top (∼1 K) and cloud base (1.5 K), leading to a more rapid increase of the lapse rate with height in the upper half of the cloud, from a nearly constant moist lapse rate below and at the cloud middle (∼6°C km−1) to a value of 7.7°C km−1, which must be closer to the dry lapse rate than the standard wet retrieval.
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Dissertations / Theses on the topic "Cloud analysi"

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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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Brösamlen, Gerd. "Radiative transfer in lognormal multifractal clouds and analysis of cloud liquid water data." Thesis, McGill University, 1994. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68158.

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The study of radiative transfer in multifractal clouds is of great interest, an important application being to Global Climate Models. In this work we develop a formalism analogous to the multifractal singularity formalism for understanding photon scattering statistics in radiative transfer in multifractals, and test the results numerically on lognormal multifractals. Although the results are only exactly valid in the thick cloud limit, the approximation is found to be quite accurate down to optical thickness of $ tau approx1$-10, so the results may be widely applicable. Furthermore we show the possibility of "renormalizing" the multifractal by replacing it with a near equivalent homogeneous medium but with a "renormalized" optical thickness $ tau sp{1/(1+C sb1)}$ where C$ sb1$ is the codimension of the mean singularity of the cloud. We argue that this approximation is likely to continue to be valid for multiple scattering, and is also compatible with recent results for diffusion on multifractals. Finally we analyze cloud liquid water content data and estimate the universal multifractal indices. We find that the scaling is respected over the whole range 5m-330km and that the cloud can in fact be reasonably described by a lognormal multifractal.
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Williams, Robyn D. "Studies of Mixed-Phase Cloud Microphysics Using An In-Situ Unmanned Aerial Vehicle (UAV) Platform." Thesis, Georgia Institute of Technology, 2005. http://hdl.handle.net/1853/7252.

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Cirrus clouds cover between 20% - 50% of the globe and are an essential component in the climate. The improved understanding of ice cloud microphysical properties is contingent on acquiring and analyzing in-situ and remote sensing data from cirrus clouds. In ??u observations of microphysical properties of ice and mixed-phase clouds using the mini-Video Ice Particle Sizer (mini-VIPS) aboard robotic unmanned aerial vehicles (UAVs) provide a promising and powerful platform for obtaining valuable data in a cost-effective, safe, and long-term manner. The purpose of this study is to better understand cirrus microphysical properties by analyzing the effectiveness of the mini-VIPS/UAV in-situ platform. The specific goals include: (1) To validate the mini-VIPS performance by comparing the mini-VIPS data retrieved during an Artic UAV mission with data retrieved from the millimeterwavelength cloud radar (MMCR) at the Barrow ARM/CART site. (2) To analyze mini-VIPS data to survey the properties of high latitude mixedphase clouds The intercomparison between in-situ and remote sensing measurements was carried out by comparing reflectivity values calculated from in-situ measurements with observations from the MMCR facility. Good agreement between observations and measurements is obtained during the time frame where the sampled volume was saturated with respect to ice. We also have 1 2 shown that the degree of closure between calculated and observed reflectivity strongly correlates with the assumption of ice crystal geometry observed in the mini-VIPS images. The good correlation increases the confidence in mini-VIPS and MMCR measurements. Finally, the size distribution and ice crystal geometry obtained from the data analysis is consistent with published literature for similar conditions of temperature and ice supersaturation.
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Self, Lance. "Development and Analysis Cloud." International Foundation for Telemetering, 2010. http://hdl.handle.net/10150/605938.

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ITC/USA 2010 Conference Proceedings / The Forty-Sixth Annual International Telemetering Conference and Technical Exhibition / October 25-28, 2010 / Town and Country Resort & Convention Center, San Diego, California
The development and analysis cloud is a rapid development system being designed to support the Air Force Research Lab (AFRL) Simulation & Technology Assessment Branch. The purpose is to isolate research, development, test, and evaluation of unique software within a Zone D enclave [1] to allow researchers and analysts to develop and test software free of the many IT requirements that hamper development and without risk of contaminating the overall Air Force network. The cloud system is being designed so researchers and analysts will utilize Software as a Service (SaaS) models. Such a model makes it transparent to users such things as where the software originates and any licensing concerns. Utilities, tools, and other enhancing software that users need are published and using them frees the developer to focus on their specific development efforts versus tertiary development modules.
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CENCI, ANNALISA. "An infrastructure for decision-making to support neonatal clinical care and research." Doctoral thesis, Università Politecnica delle Marche, 2018. http://hdl.handle.net/11566/253144.

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Le culle dei neonati pretermine presso l’Unità di Terapia Intensiva Neonatale (UTIN) dell’Ospedale Pediatrico “G. Salesi” di Ancona sono circondati da numerosi dispositivi per il monitoraggio, la diagnosi e il trattamento delle malattie e forniscono un’enorme quantità di dati che, fino ad ora, venivano visualizzati solo su monitor e trascritti in una cartella clinica cartacea. Le note manuali, quindi, venivano periodicamente, ma non immediatamente, trascritte in un foglio elettronico sul PC della UTIN con il rischio di errori e dimenticanze. I medici hanno espresso la necessità di raccogliere automaticamente i dati dai dispositivi per garantire che non venissero trascurati dettagli importanti per la cura del paziente, essendo consapevoli che l’automazione di tale processo possa facilitare e migliorare l’implementazione delle procedure della pratica clinica quotidiana. L’obiettivo di questa tesi è quello di permettere l’interfacciamento delle strumentazioni biomediche della UTIN in un’unica infrastruttura cloud, che ne consenta la comunicazione con un DB unico. L’architettura proposta consente l’automatizzazione del processo di raccolta, trasmissione, memorizzazione, elaborazione e disponibilità dei dati dei dispositivi per il personale medico. Questa è garantita dalla realizzazione di un’interfaccia web che supera le funzionalità di una semplice Cartella Clinica Elettronica, grazie allo sviluppo di moduli clinici innovativi. Essi contengono tecniche di estrazione e analisi dei dati e algoritmi decisionali, che forniscono in output reminder, allarmi e indicatori, in grado di supportare i medici nella previsione e nella diagnosi di malattie come l’ittero neonatale o le disabilità motorie, nel monitoraggio dei parametri fisiologici, come la frequenza respiratoria e i parametri di crescita, e nelle decisioni da prendere riguardo problemi clinici, come gli apporti nutrizionali giornalieri e i follow-up. Tutte le soluzioni sopra descritte sono state validate attraverso esperimenti condotti nella UTIN sotto la supervisione del primario e dei medici del reparto.
Preterm infants’ cribs in Neonatal Intensive Care Unit (NICU) of “Women’s and Children’s Hospital G. Salesi” of Ancona are surrounded by many devices for the monitoring, diagnosis and treatment of diseases, which provide a huge amount of data that, until now, was only displayed on monitors and periodically transcribed in a paper medical record. Then manual notes were regularly, but not immediately, transcribed in an electronic sheet on a NICU PC with the risk of errors and forgetfulnesses. In this context, physicians have expressed the need to automatically gather data from all these devices to ensure that no key details for patient care were overlooked, as they are aware that the automation of this process could improve the implementation of the procedures of their daily clinical practice. The objective of this thesis is to allow the interfacing of NICU biomedical instruments into a single cloud-based infrastructure that enables the communication between different medical devices and a unique DB. The proposed architecture permits the automation of the process of device data collection, transmission, storage, processing and availability for medical staff, that is guaranteed through the implementation of a web interface that exceeds the functionalities of a simple Electronic Medical Record, thanks to the development of innovative clinical tools. They contain data extraction and analysis techniques and decision-making algorithms, which provide in output advices, reminders, alarms, and indicators that can support physicians in predicting and diagnosing diseases, such as neonatal jaundice or motor disabilities, in monitoring physiological parameters, such as respiratory rate and growth parameters, and in making decisions about clinical problems, such as daily nutritional intakes and follow-ups. All the solutions described above have been validated through experiments conducted in the NICU under the supervision of the physicians and the Head Physician.
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Pettegrew, Brian P. "Analysis of cloud and cloud-to-ground lightning in winter convection." Diss., Columbia, Mo. : University of Missouri-Columbia, 2008. http://hdl.handle.net/10355/5586.

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Thesis (Ph. D.)--University of Missouri-Columbia, 2008.
The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. Title from title screen of research.pdf file (viewed on June 15, 2009) Vita. Includes bibliographical references.
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Larson, Bridger Ronald. "Selecting Cloud Platform Services Based On Application Requirements." BYU ScholarsArchive, 2016. https://scholarsarchive.byu.edu/etd/6129.

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As virtualization platforms or cloud computing have become more of a commodity, many more organizations have been utilizing them. Many organizations and technologies have emerged to fulfill those cloud needs. Cloud vendors provide similar services, but the differences can have significant impact on specific applications. Selecting the right provider is difficult and confusing because of the number of options. It can be difficult to determine which application characteristics will impact the choice of implementation. There has not been a concise process to select which cloud vendor and characteristics are best suited for the application requirements and organization requirements. This thesis provides a model that identifies crucial application characteristics, organization requirements and also characteristics of a cloud. The model is used to analyze the interaction of the application with multiple cloud platforms and select the best option based on a suitability score. Case studies utilize this model to test three applications against three cloud implementations to identify the best fit cloud implementation. The model is further validated by a small group of peers through a survey. The studies show that the model is useful in identifying and comparing cloud implementations with regard to application requirements.
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Brück, Heiner Matthias. "Evaluation of statistical cloud parameterizations." Doctoral thesis, Universitätsbibliothek Leipzig, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:15-qucosa-212714.

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This work is motivated by the question: how much complexity is appropriate for a cloud parameterization used in general circulation models (GCM). To approach this question, cloud parameterizations across the complexity range are explored using general circulation models and theoretical Monte-Carlo simulations. Their results are compared with high-resolution satellite observations and simulations that resolve the GCM subgrid-scale variability explicitly. A process-orientated evaluation is facilitated by GCM forecast simulations which reproduce the synoptic state. For this purpose novel methods were develop to a) conceptually relate the underlying saturation deficit probability density function (PDF) with its saturated cloudy part, b) analytically compute the vertical integrated liquid water path (LWP) variability, c) diagnose the relevant PDF-moments from cloud parameterizations, d) derive high-resolution LWP from satellite observations and e) deduce the LWP statistics by aggregating the LWP onto boxes equivalent to the GCM grid size. On this basis, this work shows that it is possible to evaluate the sub-grid scale variability of cloud parameterizations in terms of cloud variables. Differences among the PDF types increase with complexity, in particular the more advanced cloud parameterizations can make use of their double Gaussian PDF in conditions, where cumulus convection forms a separate mode with respect to the remainder of the grid-box. Therefore, it is concluded that the difference between unimodal and bimodal PDFs is more important, than the shape within each mode. However, the simulations and their evaluation reveals that the advanced parameterizations do not take full advantage of their abilities and their statistical relationships are broadly similar to less complex PDF shapes, while the results from observations and cloud resolving simulations indicate even more complex distributions. Therefore, this work suggests that the use of less complex PDF shapes might yield a better trade-off. With increasing model resolution initial weaknesses of simpler, e.g. unimodal PDFs, will be diminished. While cloud schemes for coarse-resolved models need to parameterize multiple cloud regimes per grid-box, higher spatial resolution of future GCMs will separate them better, so that the unimodal approximation improves.
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Kanmantha, Reddy Pruthvi Raj Reddy. "Comparative Analysis of Virtual Desktops in Cloud : Performance comparison of OpenStack Private Cloud and AWS Public cloud." Thesis, Blekinge Tekniska Högskola, Institutionen för kommunikationssystem, 2005. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10840.

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Gordon, Neil D. "Cluster analysis of cloud properties a method for diagnosing cloud-climate feedbacks /." Diss., Connect to a 24 p. preview or request complete full text in PDF format. Access restricted to UC campuses, 2008. http://wwwlib.umi.com/cr/ucsd/fullcit?p3296823.

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Thesis (Ph. D.)--University of California, San Diego, 2008.
Title from first page of PDF file (viewed Mar. 24, 2008). Available via ProQuest Digital Dissertations. Vita. Includes bibliographical references (p. 108-112).
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Books on the topic "Cloud analysi"

1

Berger, Franz Herbert. Die Bestimmung des Einflusses von hohen Wolken auf das Strahlungsfeld und auf das Klima durch Analyse von NOAA AVHRR-Daten: (DK551.501.776 ...). Berlin: D. Reimer, 1992.

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Liu, Shan, Min Zhang, Pranav Kadam, and C. C. Jay Kuo. 3D Point Cloud Analysis. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89180-0.

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Poellot, Michael R. Preliminary analysis of University of North Dakota aircraft data from the FIRE cirrus ITO-II: Final report. [Washington, DC: National Aeronautics and Space Administration, 1995.

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Poellot, Michael R. Preliminary analysis of University of North Dakota aircraft data from the FIRE cirrus ITO-II: Semi-annual status report for the period October 15, 1992 to April 14, 1993. Grand Forks, N.D: Dept. of Atmospheric Sciences, University of North Dakota, 1993.

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R, Jeffries W., and United States. National Aeronautics and Space Administration. Scientific and Technical Information Branch., eds. A new NASA-MSFC mission analysis global cloud cover data base. [Washington, D.C.]: National Aeronautics and Space Administration, Scientific and Technical Information Branch, 1985.

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Hanbury, Allan, Henning Müller, and Georg Langs, eds. Cloud-Based Benchmarking of Medical Image Analysis. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-49644-3.

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Wash, Carlyle H. Satellite cloud and precipitation analysis using a minicomputer. Monterey, Calif: Naval Postgraduate School, 1985.

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Morehead, Steven Emory. Ship track cloud analysis for the North Pacific. Monterey, Calif: Naval Postgraduate School, 1988.

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Mineart, Gary M. Multispectral satellite analysis of marine stratocumulus cloud microphysics. Monterey, Calif: Naval Postgraduate School, 1988.

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Giedke, Anna. Cloud Computing: Eine wirtschaftsrechtliche Analyse mit besonderer Berücksichtigung des Urheberrechts. München: Utz, 2013.

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Book chapters on the topic "Cloud analysi"

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Bermbach, David, Erik Wittern, and Stefan Tai. "Data Analysis." In Cloud Service Benchmarking, 123–35. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55483-9_12.

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Antu, Antara Debnath, Anup Kumar, Robert Kelley, and Bin Xie. "Comparative Analysis of Cloud Storage Options for Diverse Application Requirements." In Cloud Computing – CLOUD 2021, 75–96. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_6.

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Zhang, Yonghe, Kejiang Ye, and Cheng-Zhong Xu. "An Experimental Analysis of Function Performance with Resource Allocation on Serverless Platform." In Cloud Computing – CLOUD 2021, 17–31. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96326-2_2.

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Sabharwal, Navin, and Prashant Wali. "Capacity Analysis, Tuning, and Review." In Cloud Capacity Management, 109–22. Berkeley, CA: Apress, 2013. http://dx.doi.org/10.1007/978-1-4302-4924-5_12.

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Tai, Stefan, and David Bermbach. "Cloud Computing." In Encyclopedia of Social Network Analysis and Mining, 1–6. New York, NY: Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4614-7163-9_105-1.

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Tai, Stefan, and David Bermbach. "Cloud Computing." In Encyclopedia of Social Network Analysis and Mining, 94–100. New York, NY: Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-6170-8_105.

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Tai, Stefan, and David Bermbach. "Cloud Computing." In Encyclopedia of Social Network Analysis and Mining, 200–205. New York, NY: Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4939-7131-2_105.

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Ostermann, Simon, Alexandria Iosup, Nezih Yigitbasi, Radu Prodan, Thomas Fahringer, and Dick Epema. "A Performance Analysis of EC2 Cloud Computing Services for Scientific Computing." In Cloud Computing, 115–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12636-9_9.

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Li, Xiaofan, and Shouting Gao. "Cloud Radiative Effects." In Precipitation Modeling and Quantitative Analysis, 175–207. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-2381-8_7.

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Liu, Shan, Min Zhang, Pranav Kadam, and C. C. Jay Kuo. "Deep Learning-Based Point Cloud Analysis." In 3D Point Cloud Analysis, 53–86. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-89180-0_3.

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Conference papers on the topic "Cloud analysi"

1

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 public clouds. HPC@Cloud allows the HPC community to benefit from readily available public cloud resources with minimum efforts and features an empirical approach for estimating cloud infrastructure costs for HPC workloads. We also provide an experimental analysis of HPC@Cloud on two public clouds: Amazon AWS and Vultr Cloud.
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Ou, S. C., K. N. Liou, W. Gooch, N. Rao, and Y. Takano. "Remote Sensing of Cirrus Cloud Parameters Using AVHRR 3.7 and 10.9 μm Channel Data." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1993. http://dx.doi.org/10.1364/orsa.1993.mc.4.

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Cirrus clouds are global in nature and occupy primarily the upper troposphere and lower stratosphere. Information on cirrus cloud parameters is critically important to the development of cirrus cloud forecast models, the upgrading of real-time global cloud analysis, and the investigation of cloud-radiation feedback to the temperature perturbations in global climate change.
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Manolescu, Alexandru, Adriana Fota, and Gheorghe Oancea. "Recognizing Algorithm for Digitized Rotational Parts." In ASME 2012 11th Biennial Conference on Engineering Systems Design and Analysis. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/esda2012-82334.

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It is a well known fact that Reverse Engineering techniques involve the following steps: scanning the object, pre-processing a cloud of points, processing the cloud of points, redesigning, and manufacturing the part. Difficulties arise when processing clouds of points resulted from digitization, obtaining geometrical parameters of the scanned object itself and getting the final associated CAD model. This paper presents an algorithm for the recognition of a rotational part form. The part has been previously scanned and will be redesigned for re-manufacturing. To determine the surfaces of a rotational part, it is necessary to scan the part in order to obtain the cloud of points which is afterwards cleared of noise points. Beginning with the cloud of points, an algorithm is built that automatically determines the part’s axis. The axis is then used to generate the required sections. The same tool also facilitates the recognition of simple, basic shapes like cylinders, cones and spheres. The points cloud data are stored in a text file. The text file contains all the points’ coordinates of the cloud. After running the software on the data file we obtain the geometrical data necessary for the parametric model. This data can then be exported to a 3D design environment to redesign the digitized part. This paper contains two case studies in which a part was scanned and then, following the steps outlined above, the geometrical data of the part are obtained. With the geometrical data, the part can be modelled like a parameterized object.
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Lu, Jia, and Jing Qian. "Discrete Stress Analysis on Point-Cloud Model Derived From Medical Images." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-206209.

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Pixel or voxel data from the medical images provide a point-cloud depiction for complicated anatomies that are difficult to describe in CAD geometry. Traditionally, a point-cloud model needs to be converted into finite element mesh in order to perform mechanical analysis. Although meshing generation tools have been significantly improved over the last decades, generating high quality meshes in complicated bodies remains a challenge. Recently, the authors developed a family of solid mechanics solvers that work directly on domains represented by point-clouds [1,2]. Using this method, it is possible to conduct mechanical analysis on point-cloud representations of patient-specific organs without resorting to finite element method. In this article, we describe this paradigm of analysis and demonstrate the method with numerical examples.
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Psimoulis, Panos, Ali Algadhi, Athina Grizi, and Luis Neves. "Assessment of accuracy and performance of terrestrial laser scanner in monitoring of retaining walls." In 5th Joint International Symposium on Deformation Monitoring. Valencia: Editorial de la Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/jisdm2022.2022.13917.

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Retaining walls are a critical infrastructure of transportation networks and the monitoring of their condition is crucial for the efficient and reliable maintenance of the network. The condition of retaining walls is frequently assessed using qualitative criteria and visual inspection, which are susceptible to human-bias and errors. To improve the management of these structures, reducing the probability of failure and the maintenance costs, it is critical to develop more efficient, reliable and quantitative monitoring approaches for these structures. The current study aims to evaluate the performance of Terrestrial Laser Scanner (TLS) in deformation monitoring of retaining walls, based on the analysis of single scans (without registering the point clouds to build 3D models). The evaluation was based on a controlled experiment, where a wooden frame (1.5m x 1m) was used to simulate deformation scenarios for retaining walls, with an amplitude between 2 to 16 mm. A Leica RTC360 scanner was used to scan the wooden frame from distances varying between 10 to 27 m and angles varying between 0° to 20°. Five methods were applied to analyse the laser-scanner data and estimate the displacement: a target-based approach and four cloud-based approaches including the Cloud-to-Cloud (C2C), the Cloud-to-Mesh (C2M), the Multiscale-Model-to-Model-Cloud-Comparison (M3C2), and an alternative cloud-based method where the mean average of the point-cloud was used to estimate the displacement in the axis of the deformation. A Robotic Total Station Leica TS30 was also used to measure the deformation of the wooden frame and provide the ground truth values of the introduced deformation for each scenario. The results showed that the RTC360 had an accuracy of 1.3 mm with a confidence level of 95%.
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Albeanu, Grigore, and Florin Popentiu vladicescu. "CLOUD-BASED E-LEARNING TOOLS FOR DATA ANALYSIS." In eLSE 2012. Editura Universitara, 2012. http://dx.doi.org/10.12753/2066-026x-12-092.

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This paper describes the most important characteristics of cloud computing paradigm in order to be used as powerful arrows towards efficient approaches in teaching data analysis. Also High Performance Computing aspects are considered for solving large complexity data analysis problems. The usage of both Cloud Computing and High Performance Computing will assure not only an excellent framework for research but also a powerful and flexible environment for e-Learning. The presentation is structured in three sections, being closed with the list of references. The first section considers the resources of cloud computing: SaaS (Software as a Service), IaaS (Infrastructure as a Service), PaaS (Platform as a Service - predefined integrated platform), and Managed Services. For every mentioned resource the most important features which are valuable for e-learning are outlined. High Performance Computing for data analysis is described in the second section. Also, software tools useful to analyse collections of data having small, medium or large size are presented and compared in order to identify the best tool to be used in a virtual learning framework. The third section describes both data manipulation techniques and results of experiments. Finally, concluding remarks are presented related to an online course on data analysis based on cloud computing paradigm. Selected references 1. Abadi D.J., Data Management in the Cloud: Limitations and Opportunities, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2009. 2. Grossman R., Gu Y., Data Mining Using High Performance Data Clouds: Experimental Studies Using Sector and Sphere, http://sector.sourceforge.net/pub/grossman-gu-ncdm-tr-08-04.pdf 3.G Albeanu, L. Serbanescu, Fl. Popentiu-Vladicescu. On teaching data analysis and optimisation using software tools. In Grigore Albanu, Dorin Mircea Popovici , Marin Vlada (eds.), Proceedings of the 2nd International Conference on Virtual Learning, Constata, 26-28 October, Bucharest, ISBN: 973-737-218-2 978-973-737-380-9, Romania. , I, pp. 255-260. 2007.
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7

Gieray, R., and P. H. Wieser. "A Study of Aerosol-Cloud Interaction using Laser Microprobe Mass Analysis." In Laser Applications to Chemical and Environmental Analysis. Washington, D.C.: Optica Publishing Group, 1996. http://dx.doi.org/10.1364/lacea.1996.ltha.3.

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Cloud formation, radiative properties and cloud droplet chemistry is strongly affected by the size distribution and chemical composition of the atmospheric aerosol on which the cloud has been formed. Once a particle is incorporated into a droplet, chemical reactions in aqueous solution may occur changing the loading of air pollutants (e.g. oxidation of dissolved SO2 under the catalytic influence of metal ions). In addition the incorporation of airborne particles into cloud droplets play an important role in determining the atmospheric residence time of air pollutants.
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Şaykol, Ediz, and Ayşe Seçil Avcı. "Pivotal Points in Utilizing Cloud Services in Turkey." In International Conference on Eurasian Economies. Eurasian Economists Association, 2015. http://dx.doi.org/10.36880/c06.01252.

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The term of Cloud Computing has become a buzzword that almost every single person has heard. Although, it is defined at various platforms in various ways even with exactly different sentences, the most wide-reaching definition was made by NIST as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources with minimal management effort or service provider interaction. As Cloud Services entered daily lives, organizations and even ordinary people started to manage their business at any time anyplace in solid and reasonable costs with the help of considerably faster, at a high performance level, flexible clouds. The datas, softwares and platforms that stored in cloud has become accessible from where you are without a need of a server center. These lead to the problem of selecting and providing appropriate cloud services for customers and providers, respectively. The relation between these two depends on a win-win relationship, and hence the pivotal points that they raise becomes crucial from business perspective. In this study we present an analysis for the IT sector in Turkey to elaborate on a possible set of pivotal points from Cloud Customer and Cloud Service Provider perspectives depending on a survey-based study.
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Flesia, Cristina, and Andrei V. Starkov. "Effects of the Inhomogeneity of the Atmosphere on the Multiple Scattering in Lidar Sounding from Space." In Optical Remote Sensing of the Atmosphere. Washington, D.C.: Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.ma4.

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We used variance reduction Monte Carlo method [1] and analytical extension of the Mie theory [2] to calculate spaceborn lidar returns from the pure and cloudy atmosphere and we analysed the influence of multiple scattering on the interpretation of measurements. In particular, the performance capabilities of identification of cloud layers from space has been evaluated.
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Sato, Keiichi, Naoya Takahashi, and Yasuhiro Sugimoto. "Effects of Diffuser Length on Cloud Cavitation in an Axisymmetrical Convergent-Divergent Nozzle." In ASME/JSME/KSME 2015 Joint Fluids Engineering Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ajkfluids2015-05507.

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Unsteady behavior of periodic cloud cavitation is typically observed in the field of fluid machinery under a high speed liquid flow such as a cavitating hydrofoil as well as cavitating water jet. The instability of cloud cavitation remains to be completely solved though it has been confirmed that there are two instabilities which is an intrinsic instability of cavitation and a system instability. Sato, et al. have found through previous investigations that the pressure wave at the collapse of shedding clouds can make a trigger to cause a reentrant motion. In the present study, the authors focus on a cavitating water jet to investigate the cavitation aspects in an axisymmetrical convergent-divergent nozzle and examine an unsteady behavior of cloud cavitation through high speed video observation and image analysis based on the frame difference method. Especially, the authors study the effect of nozzle divergent part (diffuser) as well as the upstream pressure effect on cloud cavitation in the nozzle. As a result the authors have found that there are two kinds in the shedding pattern and the reentrant motion pattern for cloud cavitation depending on the nozzle diffuser length.
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Reports on the topic "Cloud analysi"

1

Shyshkina, Mariya P. Сервісні моделі формування хмаро орієнтованого середовища вищого навчального закладу. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2449.

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The article is devoted to creating and development of the cloud based educational and scientific environment of higher education institutions, using modern approaches to the ICT infrastructure design, based on the different types of service models, including public, corporate or hybrid clouds. Object of the study: to conduct the theoretical analysis of the research trends of the cloud based higher education institution ICT infrastructure modeling in the context of the tendencies of the ICT development and standardization. Object of the study: the process of formation and development of the educational and research environment in the higher education institution. The purpose of the article: to reveal the current trends of the cloud-based service models of the learning environment design and implementation. The methods of the study: The analysis of scientific and educational literature on pro-research problems; domestic and foreign experience on the emerging ICT implementation in the learning process. Results: The main types of the service models of design and deploy the cloud-based infrastructure of the educational institution are revealed; the advantages and disadvantages of the cloud-based approach are considered; the promising ways of implementation are considered. Conclusions: there are promising ways of the learning environment cloud-based service models design and application, taking into consideration its preferences and disadvantages for the certain case study.
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Berney, Ernest, Naveen Ganesh, Andrew Ward, J. Newman, and John Rushing. Methodology for remote assessment of pavement distresses from point cloud analysis. Engineer Research and Development Center (U.S.), April 2021. http://dx.doi.org/10.21079/11681/40401.

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The ability to remotely assess road and airfield pavement condition is critical to dynamic basing, contingency deployment, convoy entry and sustainment, and post-attack reconnaissance. Current Army processes to evaluate surface condition are time-consuming and require Soldier presence. Recent developments in the area of photogrammetry and light detection and ranging (LiDAR) enable rapid generation of three-dimensional point cloud models of the pavement surface. Point clouds were generated from data collected on a series of asphalt, concrete, and unsurfaced pavements using ground- and aerial-based sensors. ERDC-developed algorithms automatically discretize the pavement surface into cross- and grid-based sections to identify physical surface distresses such as depressions, ruts, and cracks. Depressions can be sized from the point-to-point distances bounding each depression, and surface roughness is determined based on the point heights along a given cross section. Noted distresses are exported to a distress map file containing only the distress points and their locations for later visualization and quality control along with classification and quantification. Further research and automation into point cloud analysis is ongoing with the goal of enabling Soldiers with limited training the capability to rapidly assess pavement surface condition from a remote platform.
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Hamil, Thomas M., and Ross Hoffman. SERCAA Cloud Analysis Integration: Design Concepts and Interaction with Cloud Forecast Models. Fort Belvoir, VA: Defense Technical Information Center, April 1993. http://dx.doi.org/10.21236/ada269104.

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Oleksiuk, Vasyl P., Olesia R. Oleksiuk, Oleg M. Spirin, Nadiia R. Balyk, and Yaroslav P. Vasylenko. Some experience in maintenance of an academic cloud. [б. в.], June 2021. http://dx.doi.org/10.31812/123456789/4436.

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The article is devoted to the systematization of experience in the deployment, maintenance and servicing of the private academic cloud. The article contains model of the authors’ cloud infrastructure. It was developed at Ternopil Volodymyr Hnatiuk National Pedagogical University (Ukraine) on the basis of the Apache CloudStack platform. The authors identify the main tasks for maintaining a private academic cloud. Here they are making changes to the cloud infrastructure; maintenance of virtual machines (VM) to determine the performance and migration of VM instances; work with VMs; backup of all cloud infrastructure. The analysis of productivity and providing students with computing resources is carried out. The main types of VM used in training are given. The number and characteristics of VM that can be served by a private academic cloud are calculated. Approaches and schemes for performing backup are analysed. Some theoretical and practical experience of using cloud services to perform backup has been studied. Several scripts have been developed for archiving the platform database and its repositories. They allow you to upload backups to the Google Drive cloud service. The performance of these scripts for the author’s deployment of private cloud infrastructure was evaluated.
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Heifets, Samuel A. Qualitative analysis of the e-cloud formation. Office of Scientific and Technical Information (OSTI), January 2002. http://dx.doi.org/10.2172/798963.

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Gustafson, Gary B., Ronald G. Isaacs, Jeanne M. Sparrow, Daniel C. Peduzzi, and James S. Belfiore. Automated Satellite Cloud Analysis - Tactical Nephanalysis (TACNEPH). Fort Belvoir, VA: Defense Technical Information Center, November 1994. http://dx.doi.org/10.21236/ada320375.

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Berney, Ernest, Andrew Ward, and Naveen Ganesh. First generation automated assessment of airfield damage using LiDAR point clouds. Engineer Research and Development Center (U.S.), March 2021. http://dx.doi.org/10.21079/11681/40042.

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This research developed an automated software technique for identifying type, size, and location of man-made airfield damage including craters, spalls, and camouflets from a digitized three-dimensional point cloud of the airfield surface. Point clouds were initially generated from Light Detection and Ranging (LiDAR) sensors mounted on elevated lifts to simulate aerial data collection and, later, an actual unmanned aerial system. LiDAR data provided a high-resolution, globally positioned, and dimensionally scaled point cloud exported in a LAS file format that was automatically retrieved and processed using volumetric detection algorithms developed in the MATLAB software environment. Developed MATLAB algorithms used a three-stage filling technique to identify the boundaries of craters first, then spalls, then camouflets, and scaled their sizes based on the greatest pointwise extents. All pavement damages and their locations were saved as shapefiles and uploaded into the GeoExPT processing environment for visualization and quality control. This technique requires no user input between data collection and GeoExPT visualization, allowing for a completely automated software analysis with all filters and data processing hidden from the user.
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Volikova, Maryna M., Tetiana S. Armash, Yuliia V. Yechkalo, and Vladimir I. Zaselskiy. Practical use of cloud services for organization of future specialists professional training. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3269.

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The article is devoted to the peculiarities of the practical use of cloud services for the organization of qualitative professional training of future specialists. It is established that in order to implement state policy, there is an essential need for using various ICT, in particular cloud services, which are not only economically acceptable in the new educational environment, but also a powerful tools of obtaining new knowledge, skills and abilities. The advantages and disadvantages of using cloud services in the educational process of higher education are substantiated; the examples discuss the methods of using cloud services in the process of studying fundamental disciplines. The object of the study is the professional training of students in higher education institutions. The subject of research is the process of organizing professional training of future specialists with the use of cloud services. To achieve the set goals, a set of general scientific (analysis, synthesis, comparison) and specific scientific (bibliographic, problem-based) was used. Observation and conversation manipulation allowed to highlight the advantages and disadvantages of using cloud services and draw conclusions from the problem under investigation. The foreign experience of using cloud services has been researched and the features of the application of traditional and distance technology training abroad have been determined. It describes the use of the blog as a media-educational technology during the advent of pedagogical practice. The methods of using cloud-based services on the example of creation of a distance course “Linear algebra and analytic geometry” are considered. The prospects of research, which consist in getting acquainted with cloud technologies of the humanitarian profile future specialists at the second higher education, are determined. It has been established that the practical application of cloud technologies in the educational process will promote more qualitative and progressive learning; the formation of a close interaction between the teacher and student; development of professional skills and abilities of independent work.
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Markova, Oksana M., Serhiy O. Semerikov, Andrii M. Striuk, Hanna M. Shalatska, Pavlo P. Nechypurenko, and Vitaliy V. Tron. Implementation of cloud service models in training of future information technology specialists. [б. в.], September 2019. http://dx.doi.org/10.31812/123456789/3270.

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Leading research directions are defined on the basis of self-analysis of the study results on the use of cloud technologies in training by employees of joint research laboratory “Сloud technologies in education” of Kryvyi Rih National University and Institute of Information Technology and Learning Aids of the NAES of Ukraine in 2009-2018: cloud learning technologies, cloud technologies of blended learning, cloud-oriented learning environments, cloud-oriented methodological systems of training, the provision of cloud-based educational services. The ways of implementation SaaS, PaaS, IaaS cloud services models which are appropriate to use in the process of studying the academic disciplines of the cycles of mathematical, natural science and professional and practical training of future specialists in information technology are shown, based on the example of software engineering, computer science and computer engineering. The most significant advantages of using cloud technologies in training of future information technology specialists are definite, namely, the possibility of using modern parallel programming tools as the basis of cloud technologies. Conclusions are drawn; the direction of further research is indicated: designing a cloud-oriented learning environment for future specialists in computer engineering, identifying trends in the development of cloud technologies in the professional training and retraining of information technology specialists, developing a methodology for building the research competencies of future software engineering specialists by using cloud technologies.
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Markova, Oksana M. Засоби хмарних технологій навчання основ математичної інформатики студентів технічних університетів. [б. в.], August 2018. http://dx.doi.org/10.31812/0564/2453.

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Objectives of the study: the development of a common structure of cloud technology tools for learning of fundamentals of mathematical informatics. Research objectives: to classify the resources of cloud study in the basics of mathematical informatics. Object of study: the tools learning the fundamentals of mathematical informatics for students of technical universities. Subject of study: the tools of cloud technology for learning of fundamentals of mathematical informatics. Methods: analysis, synthesis. Research results: the common structure of cloud technology tools for learning of fundamentals of mathematical informatics was developed. Conclusions and recommendations: designed system of cloud technology tools for learning of fundamentals of mathematical informatics can be used in the construction of appropriate methodological system of learning.
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