Academic literature on the topic 'Cloud level'

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Journal articles on the topic "Cloud level"

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Korshunova, N. N., and T. V. Dementieva . "Changes in cloud characteristics on the territory of Russia." Hydrometeorological research and forecasting 3 (September 30, 2023): 139–51. http://dx.doi.org/10.37162/2618-9631-2023-3-139-151.

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Such characteristics of the cloud cover as the frequency of cloudy (8-10/10) and clear (0-2/10) sky are investigated. The analysis of the seasonal frequency of these characteristics revealed some regional features. To be included in the national cloud monitoring system, the normals for the new base period of 1991-2020 for the average amount of total and low-level clouds, the frequency of cases with different sky conditions (clear, semi-cloudy, cloudy) for total and low-level clouds, as well as the frequency of various forms of clouds were calculated. Long-term changes in the frequency of clear
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Sedlar, Joseph. "Implications of Limited Liquid Water Path on Static Mixing within Arctic Low-Level Clouds." Journal of Applied Meteorology and Climatology 53, no. 12 (2014): 2775–89. http://dx.doi.org/10.1175/jamc-d-14-0065.1.

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AbstractObservations of cloud properties and thermodynamics from two Arctic locations, Barrow, Alaska, and Surface Heat Budget of the Arctic (SHEBA), are examined. A comparison of in-cloud thermodynamic mixing characteristics for low-level, single-layer clouds from nearly a decade of data at Barrow and one full annual cycle over the sea ice at SHEBA is performed. These cloud types occur relatively frequently, evident in 27%–30% of all cloudy cases. To understand the role of liquid water path (LWP), or lack thereof, on static in-cloud mixing, cloud layers are separated into optically thin and o
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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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Pangaud, Thomas, Nadia Fourrie, Vincent Guidard, Mohamed Dahoui, and Florence Rabier. "Assimilation of AIRS Radiances Affected by Mid- to Low-Level Clouds." Monthly Weather Review 137, no. 12 (2009): 4276–92. http://dx.doi.org/10.1175/2009mwr3020.1.

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Abstract An approach to make use of Atmospheric Infrared Sounder (AIRS) cloud-affected infrared radiances has been developed at Météo-France in the context of the global numerical weather prediction model. The method is based on (i) the detection and the characterization of clouds by the CO2-slicing algorithm and (ii) the identification of clear–cloudy channels using the ECMWF cloud-detection scheme. Once a hypothetical cloud-affected pixel is detected by the CO2-slicing scheme, the cloud-top pressure and the effective cloud fraction are provided to the radiative transfer model simultaneously
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Shikwambana, Lerato, and Venkataraman Sivakumar. "Observation of Clouds Using the CSIR Transportable LIDAR: A Case Study over Durban, South Africa." Advances in Meteorology 2016 (2016): 1–9. http://dx.doi.org/10.1155/2016/4184512.

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The Council for Scientific and Industrial Research (CSIR) transportable Light Detection And Ranging (LIDAR) was used to collect data over Durban (29.9°S, 30.9°E) during 20–23 November 2012. Aerosol measurements have been carried out in the past over Durban; however, no cloud measurements using LIDAR have ever been performed. Therefore, this study further motivates the continuation of LIDAR for atmospheric research over Durban. Low level clouds were observed on 20–22 November 2012 and high level clouds were observed on 23 November 2012. The low level cloud could be classified as stratocumulus c
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Liu, X., M. J. Newchurch, and J. H. Kim. "Occurrence of ozone anomalies over cloudy areas in TOMS version-7 level-2 data." Atmospheric Chemistry and Physics Discussions 3, no. 1 (2003): 187–223. http://dx.doi.org/10.5194/acpd-3-187-2003.

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Abstract. This study investigates anomalous ozone distributions over cloudy areas in Nimbus-7 (N7) and Earth-Probe (EP) TOMS version-7 data and analyzes the causes for ozone anomaly formation. A 5°-longitude by 5°-latitude region is defined to contain a Positive Ozone Anomaly (POA) or Negative Ozone Anomaly (NOA) if the correlation coefficient between total ozone and reflectivity is ≥0.5 or ≥− 0.5. The average fractions of ozone anomalies among all cloud fields are 31.8+/−7.7% and 35.8+\\−7.7% in the N7 and EP TOMS data, respectively. Some ozone anomalies are caused by ozone retrieval errors,
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Liu, X., M. J. Newchurch, and J. H. Kim. "Occurrence of ozone anomalies over cloudy areas in TOMS version-7 level-2 data." Atmospheric Chemistry and Physics 3, no. 4 (2003): 1113–29. http://dx.doi.org/10.5194/acp-3-1113-2003.

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Abstract. This study investigates anomalous ozone distributions over cloudy areas in Nimbus-7 (N7) and Earth-Probe (EP) TOMS version-7 data and analyzes the causes for ozone anomaly formation. A 5°-longitude by 5°-latitude region is defined to contain a Positive Ozone Anomaly (POA) or Negative Ozone Anomaly (NOA) if the correlation coefficient between total ozone and reflectivity is > 0.5 or < -0.5. The average fractions of ozone anomalies among all cloud fields are 31.8 ± 7.7% and 35.8 ± 7.7% in the N7 and EP TOMS data, respectively. Some ozone anomalies are caused by ozone retrieval er
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Schirmacher, Imke, Pavlos Kollias, Katia Lamer, et al. "Assessing Arctic low-level clouds and precipitation from above – a radar perspective." Atmospheric Measurement Techniques 16, no. 17 (2023): 4081–100. http://dx.doi.org/10.5194/amt-16-4081-2023.

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Abstract. Most Arctic clouds occur below 2 km altitude, as revealed by CloudSat satellite observations. However, recent studies suggest that the relatively coarse spatial resolution, low sensitivity, and blind zone of the radar installed on CloudSat may not enable it to comprehensively document low-level clouds. We investigate the impact of these limitations on the Arctic low-level cloud fraction, which is the number of cloudy points with respect to all points as a function of height, derived from CloudSat radar observations. For this purpose, we leverage highly resolved vertical profiles of l
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Adebiyi, Adeyemi A., Paquita Zuidema, Ian Chang, Sharon P. Burton, and Brian Cairns. "Mid-level clouds are frequent above the southeast Atlantic stratocumulus clouds." Atmospheric Chemistry and Physics 20, no. 18 (2020): 11025–43. http://dx.doi.org/10.5194/acp-20-11025-2020.

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Abstract. Shortwave-absorbing aerosols seasonally overlay extensive low-level stratocumulus clouds over the southeast Atlantic. While much attention has focused on the interactions between the low-level clouds and the overlying aerosols, few studies have focused on the mid-level clouds that also occur over the region. The presence of mid-level clouds over the region complicates the space-based remote-sensing retrievals of cloud properties and the evaluation of cloud radiation budgets. Here we characterize the mid-level clouds over the southeast Atlantic using lidar- and radar-based satellite c
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Sirch, Tobias, Luca Bugliaro, Tobias Zinner, Matthias Möhrlein, and Margarita Vazquez-Navarro. "Cloud and DNI nowcasting with MSG/SEVIRI for the optimized operation of concentrating solar power plants." Atmospheric Measurement Techniques 10, no. 2 (2017): 409–29. http://dx.doi.org/10.5194/amt-10-409-2017.

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Abstract. A novel approach for the nowcasting of clouds and direct normal irradiance (DNI) based on the Spinning Enhanced Visible and Infrared Imager (SEVIRI) aboard the geostationary Meteosat Second Generation (MSG) satellite is presented for a forecast horizon up to 120 min. The basis of the algorithm is an optical flow method to derive cloud motion vectors for all cloudy pixels. To facilitate forecasts over a relevant time period, a classification of clouds into objects and a weighted triangular interpolation of clear-sky regions are used. Low and high level clouds are forecasted separately
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Dissertations / Theses on the topic "Cloud level"

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Ho, Hon Pong. "Level set implementations on unstructured point cloud /." View abstract or full-text, 2004. http://library.ust.hk/cgi/db/thesis.pl?ELEC%202004%20HO.

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Thesis (M. Phil.)--Hong Kong University of Science and Technology, 2004.<br>Includes bibliographical references (leaves 65-69). Also available in electronic version. Access restricted to campus users.
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Wood, William J. "Exploring Firm-Level Cloud Adoption and Diffusion." ScholarWorks, 2019. https://scholarworks.waldenu.edu/dissertations/7776.

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Cloud computing innovation adoption literature has primarily focused on individuals, small businesses, and nonprofit organizations. The functional linkage between cloud adoption and diffusion is instrumental toward understanding enterprise firm-level adoption. The purpose of this qualitative collective case study was to explore strategies used by information technology (IT) executives to make advantageous enterprise cloud adoption and diffusion decisions. This study was guided by an integrated diffusion of innovation and technology, organization, and environment conceptual framework to capture
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Uriarte, Rafael Brundo. "Supporting Autonomic Management of Clouds: Service-Level-Agreement, Cloud Monitoring and Similarity Learning." Thesis, IMT Alti Studi Lucca, 2015. http://e-theses.imtlucca.it/163/1/RafaelBrundoUriarte_Thesis_Final_A5.pdf.

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Cloud computing has grown rapidly during the past few years and has become a fundamental paradigm in the Information Technology (IT) area. Clouds enable dynamic, scalable and rapid provision of services through a computer network, usually the Internet. However, managing and optimising clouds and their services in the presence of dynamism and heterogeneity is one of the major challenges faced by industry and academia. A prominent solution is resorting to selfmanagement as fostered by autonomic computing. Self-management requires knowledge about the system and the environment to enact
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Li, Bin. "Risk informed service level agreement for cloud brokerage." Thesis, University of Surrey, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.580347.

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The use of distributed computing systems, including Grids and Compute Utilities, and now Clouds, becomes a consideration for businesses hoping to manage start-up costs and times, as well as reduce the physical and environmental footprint of infrastructures. Instead of purchasing and maintaining hardware and software, organisations and individuals can take advantage of pay-per- use (utility) models that relate directly to their requirements of infrastructures, platforms and software. However, such metered services are not widely adopted yet due to the lack of assurance of Quality of Service (Qo
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Catela, Miguel Ferreira. "Service level agreement em cloud computing : um estudo de caso." Master's thesis, Instituto Superior de Economia e Gestão, 2012. http://hdl.handle.net/10400.5/10442.

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Mestrado em Ciências Empresariais<br>O cloud computing é um novo modelo de negócio, que pressupõe a utilização de recursos tecnológicos em regime pay-as-you-go, permitindo que as empresas se foquem no seu core business, transformando as despesas de capital em despesas operacionais. Num ambiente cloud computing, o Service Level Agreement (SLA) é um documento que pretende gerir as expectativas do fornecedor de serviços e do cliente, relativamente à qualidade do serviço entregue, medindo e validando se os parâmetros previamente acordados são cumpridos. Com a elaboração deste trabalho pretende-se
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Holoubek, Jiří. "Teorie a praxe cloud computingu - analýza výhod a nevýhod přechodu jednotlivce a firmy na cloud." Master's thesis, Vysoká škola ekonomická v Praze, 2013. http://www.nusl.cz/ntk/nusl-162593.

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My thesis concerns with a new phenomenon of the ICT industry -- cloud computing. The thesis is based on the fact that requirements of the customers on the cloud may differ, there is a significant difference between requirements of individuals and institutions (SMB, large companies or public institutions). In this regard, the thesis differentiates the cloud services for private and institutional use. The theoretical part of the thesis concerns with the definition of basic terms and history of cloud computing. Further, I define the cloud distribution model and its segmentation according to the m
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Deval, Niharika. "Empirical Evaluation of Cloud IAAS Platforms using System-level Benchmarks." UNF Digital Commons, 2017. https://digitalcommons.unf.edu/etd/765.

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Cloud Computing is an emerging paradigm in the field of computing where scalable IT enabled capabilities are delivered ‘as-a-service’ using Internet technology. The Cloud industry adopted three basic types of computing service models based on software level abstraction: Infrastructure-as-a-Service (IaaS), Platform-as-a-Service (PaaS), and Software-as-a-Service (SaaS). Infrastructure-as-a-Service allows customers to outsource fundamental computing resources such as servers, networking, storage, as well as services where the provider owns and manages the entire infrastructure. This allows custom
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Sporre, Moa. "Human Influence on Marine Low-Level Clouds." Thesis, Uppsala University, Uppsala University, Department of Earth Sciences, 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-105458.

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<p>A study of air mass origin’s effect on marine stratus and stratocumulus clouds has been performed on clouds north of Scandinavia between 2000 and 2004. The aerosol number size distribution of the air masses has been obtained from measurements in northern Finland. A trajectory model has been used to calculate trajectories to and from the measurement stations. The back trajectories were calculated using the measurement site as receptor to make sure the air masses had the right origin, and forward trajectories were calculated from receptor stations to assure adequate flow conditions. Satellite
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Maeser, Robert K. III. "A Model-Based Framework for Analyzing Cloud Service Provider Trustworthiness and Predicting Cloud Service Level Agreement Performance." Thesis, The George Washington University, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10785821.

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<p> Analytics firm Cyence estimated Amazon&rsquo;s four-hour cloud computing outage on February 28, 2017 &ldquo;cost S&amp;P 500 companies at least $150 million&rdquo; (Condliffe 2017) and traffic monitoring firm Apica claimed &ldquo;54 of the top 100 online retailers saw site performance slump by at least 20 percent&rdquo; (Condliffe 2017). 2015 data center outages cost Fortune 1000 companies between $1.25 and $2.5 billion (Ponemon 2017). Despite potential risks, the cloud computing industry continues to grow. For example, Internet of Things, which is projected to grow 266% between 2013 and 2
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Turner, Andrew J. "Input Shaping to Achieve Service Level Objectives in Cloud Computing Environments." Research Showcase @ CMU, 2013. http://repository.cmu.edu/dissertations/289.

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In this thesis we propose a cloud Input Shaper and Dynamic Resource Controller to provide application-level quality of service guarantees in cloud computing environments. The Input Shaper splits the cloud into two areas: one for shaped traffic that achieves quality of service targets, and one for overflow traffic that may not achieve the targets. The Dynamic Resource Controller profiles customers’ applications, then calculates and allocates the resources required by the applications to achieve given quality of service targets. The Input Shaper then shapes the rate of incoming requests to ensur
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Books on the topic "Cloud level"

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Holloway, Melanie. Service Level Management in Cloud Computing. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18773-6.

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Wieder, Philipp, Joe M. Butler, Wolfgang Theilmann, and Ramin Yahyapour, eds. Service Level Agreements for Cloud Computing. Springer New York, 2011. http://dx.doi.org/10.1007/978-1-4614-1614-2.

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M, Butler Joe, Theilmann Wolfgang, Yahyapour Ramin, and SpringerLink (Online service), eds. Service Level Agreements for Cloud Computing. Springer Science+Business Media, LLC, 2011.

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O'Brien, D. M. Radiation fluxes and cloud amounts predicted by the CSIRO nine level GCM and observed by ERBE and ISCCP. CSIRO Australia, 1993.

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Higgins, John H. 10 steps to a digital practice in the cloud: New levels of CPA firm workflow efficiency. American Institute of Certified Public Accountants, 2012.

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Ellrod, Gary P. Detection of high level turbulence using satellite imagery and upper air data. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1985.

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Mewburn, Kyle. Big Black Cloud, Level 4. Oxford University Press Australia & New Zealand, 2018.

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MARK A RUSSO CISSP-ISSAP CISO. Cloud Security Solutions : STEP 1: The Cloud Service Level Agreement. Independently Published, 2018.

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Lindop, Christine. Long White Cloud Audio, Level 3. Oxford University Press, 2017.

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Yahyapour, Ramin, Philipp Wieder, Joe M. Butler, and Wolfgang Theilmann. Service Level Agreements for Cloud Computing. Springer, 2014.

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Book chapters on the topic "Cloud level"

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Kohne, Andreas. "Service Level Agreements." In Cloud-Föderationen. Springer Fachmedien Wiesbaden, 2018. http://dx.doi.org/10.1007/978-3-658-20973-5_3.

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Mishra, Pravin. "High-Level Architecture." In Cloud Computing with AWS. Apress, 2023. http://dx.doi.org/10.1007/978-1-4842-9172-6_7.

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Baset, Salman A. "Cloud Service Level Agreement." In Encyclopedia of Cloud Computing. John Wiley & Sons, Ltd, 2016. http://dx.doi.org/10.1002/9781118821930.ch36.

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Majumdar, Suryadipta, Taous Madi, Yushun Wang, et al. "User-Level Runtime Security Auditing for the Cloud." In Cloud Security Auditing. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-23128-6_5.

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Prabhaker, Nilin, Ghanshyam S. Bopche, and Michael Arock. "Data-Level Cyber Deception in Cloud of Things." In Cloud of Things. Chapman and Hall/CRC, 2024. http://dx.doi.org/10.1201/9781003390954-10.

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Aubé, Antoine, and Thomas Polacsek. "Cloud Migration High-Level Requirements." In Lecture Notes in Business Information Processing. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-33080-3_2.

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Adjepon-Yamoah, David Ebo. "Cloud Accountability Method: Towards Accountable Cloud Service-Level Agreements." In Proceedings of Sixth International Congress on Information and Communication Technology. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-1781-2_40.

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Li, Fei, Wei Gao, Dongqing Xie, and Chunming Tang. "Certificateless Cryptography with KGC Trust Level 3 Revisited." In Cloud Computing and Security. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68542-7_24.

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Holloway, Melanie. "Introduction." In Service Level Management in Cloud Computing. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18773-6_1.

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Holloway, Melanie. "Background." In Service Level Management in Cloud Computing. Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-18773-6_2.

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Conference papers on the topic "Cloud level"

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Amaral, Marcelo, Huamin Chen, Tatsuhiro Chiba, et al. "Process-Based Efficient Power Level Exporter." In 2024 IEEE 17th International Conference on Cloud Computing (CLOUD). IEEE, 2024. http://dx.doi.org/10.1109/cloud62652.2024.00058.

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Abebe, Waqwoya, Pablo Munoz, and Ali Jannesari. "Improving Federated Learning Through Low-Entropy Client Sampling Based on Learned High-Level Features." In 2024 IEEE 17th International Conference on Cloud Computing (CLOUD). IEEE, 2024. http://dx.doi.org/10.1109/cloud62652.2024.00013.

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Zhang, Weijian, Zhenping Sun, and Hao Fu. "Uncertainty-aware map-level point cloud semantic segmentation." In 4th International Conference on Automation Control. Algorithm and Intelligent Bionics, edited by Jing Na and Shuping He. SPIE, 2024. http://dx.doi.org/10.1117/12.3040309.

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Kc, Kamal, and Vincent W. Freeh. "Dynamically Controlling Node-Level Parallelism in Hadoop." In 2015 IEEE 8th International Conference on Cloud Computing (CLOUD). IEEE, 2015. http://dx.doi.org/10.1109/cloud.2015.49.

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Chazalet, Antonin. "Service Level Checking in the Cloud Computing Context." In 2010 IEEE International Conference on Cloud Computing (CLOUD). IEEE, 2010. http://dx.doi.org/10.1109/cloud.2010.15.

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Chang, Fangzhe, Ramesh Viswanathan, and Tom L. Wood. "Placement in Clouds for Application-Level Latency Requirements." In 2012 IEEE 5th International Conference on Cloud Computing (CLOUD). IEEE, 2012. http://dx.doi.org/10.1109/cloud.2012.91.

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Bobkowska, Katarzyna, Adam Inglot, Marek Przyborski, Jedrzej Sieniakowski, and Paweł Tysiac. "Low-Level Aerial Photogrammetry as a Source of Supplementary Data for ALS Measurements." In Environmental Engineering. VGTU Technika, 2017. http://dx.doi.org/10.3846/enviro.2017.168.

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The development of laser scanning technology ALS allows to make high-resolution measurements for large areas result-ing in significant reduction of costs. The main stakeholders at heights data received from the airborne laser scanning is mainly state administration. The state institutions appear among projects such as ISOK. Each point is classified in ac-cordance with the standard LAS 1.2, our research focuses on the class 6 – buildings. In the project ISOK, the buildings are not measured in whole (from every side). A typical way to measure the missing elements is to increase the coverage of t
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Kerschbaum, Florian, and Leonardo Weiss Ferreira Chaves. "Secure Sharing of Item-Level Data in the Cloud." In 2011 IEEE 4th International Conference on Cloud Computing (CLOUD). IEEE, 2011. http://dx.doi.org/10.1109/cloud.2011.78.

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Tata, Samir, Mohamed Mohamed, Takashi Sakairi, Nagapramod Mandagere, Obinna Anya, and Heiko Ludwig. "rSLA: A Service Level Agreement Language for Cloud Services." In 2016 IEEE 9th International Conference on Cloud Computing (CLOUD). IEEE, 2016. http://dx.doi.org/10.1109/cloud.2016.0062.

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Sassen, Kenneth. "Cirrus Cloud Remote Sensing Program at FARS." In Optical Remote Sensing of the Atmosphere. Optica Publishing Group, 1995. http://dx.doi.org/10.1364/orsa.1995.wb1.

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High level cirrus clouds are believed to be important modulators of the radiation balance of the earth/atmosphere system, yet their effects on our potentially warming climate are poorly understood. Although satellites are well positioned to monitor global cloud cover, improvements in current multichannel radiance cloud algorithms to identify and categorize high level clouds are needed. In support of Project FIRE and a broader program of basic cloud research, passive and active remote sensing instrumentation at the University of Utah Facility for Atmospheric Remote Sensing (FARS) has been appli
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Reports on the topic "Cloud level"

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Wang, Zhien. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties. Office of Scientific and Technical Information (OSTI), 2010. http://dx.doi.org/10.2172/993103.

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Wang, Zhien. Using Radar, Lidar, and Radiometer measurements to Classify Cloud Type and Study Middle-Level Cloud Properties. Office of Scientific and Technical Information (OSTI), 2006. http://dx.doi.org/10.2172/861985.

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Iatsyshyn, Anna V., Valeriia O. Kovach, Yevhen O. Romanenko, and Andrii V. Iatsyshyn. Cloud services application ways for preparation of future PhD. [б. в.], 2019. http://dx.doi.org/10.31812/123456789/3248.

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Currently, it is important in Ukraine to harmonize cloud technologies application with European and world scientific initiatives. Need to modernize preparation of future PhDs is caused by challenges of new information, globalized society and digital transformation of all spheres of life, including education and science. The research was aimed to determine features of cloud services application in preparation of future PhDs. Concepts of “cloud computing”, “cloud technologies”, “cloud learning technologies”, “cloud services”, “cloud oriented environment” were analyzed. Experience of cloud techno
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Du, Runjia, Paul (Young Joun) Ha, Jiqian Dong, Sikai Chen, and Samuel Labi. Large network multi-level control for CAV and Smart Infrastructure: AI-based Fog-Cloud collaboration. Purdue University, 2022. http://dx.doi.org/10.5703/1288284317465.

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Kravtsov, Hennadiy M., та Olga O. Gnedkova. Методи використання хмарних сервісів у навчанні іноземної мови. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2456.

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Research goals: determine particularities of using cloud services in English communicative competence forming process and develop the model of distance learning system (DLS) and cloud services interaction that improves the quality of the learning process. Research objectives: to identify, describe and develop methodological features of the model of distance learning system and cloud services interaction; consider on the examples the methods of use cloud services in DLS in foreign language training, aimed at English communicative competence forming process of students; experimentally investigat
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Mazorchuk, Mariia S., Tetyana S. Vakulenko, Anna O. Bychko, Olena H. Kuzminska, and Oleksandr V. Prokhorov. Cloud technologies and learning analytics: web application for PISA results analysis and visualization. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4451.

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This article analyzes the ways to apply Learning Analytics, Cloud Technologies, and Big Data in the field of education on the international level. This paper provides examples of international analytical researches and cloud technologies used to process the results of those researches. It considers the PISA research methodology and related tools, including the IDB Analyzer application, free R intsvy environment for processing statistical data, and cloud-based web application PISA Data Explorer. The paper justifies the necessity of creating a stand-alone web application that supports Ukrainian
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Bulatetska, Lesya V., Vitaliy V. Bulatetskyi, Tetyana O. Hryshanovych, Yulia S. Pavlenko, Tetyana I. Cheprasova, and Andrey V. Pikilnyak. Operation system features and cloud services for lecturer work. [б. в.], 2021. http://dx.doi.org/10.31812/123456789/4443.

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The work proposes a conception of setup and use of teacher’s or lecturer’s workspace using common software and hardware products. The research object is a system built by using operating system capabilities in conjunction with office suite and public cloud service, as a foundation for teacher’s digital workspace. Research is made on how to set up, scale, and operate such a system, by studying the experience of national and foreign scientists and teachers, and using our own experience in educational processes, and working with operating systems and cloud services. As a result, we got a system w
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Symonenko, Svitlana V., Viacheslav V. Osadchyi, Svitlana O. Sysoieva, Kateryna P. Osadcha, and Albert A. Azaryan. Cloud technologies for enhancing communication of IT-professionals. [б. в.], 2020. http://dx.doi.org/10.31812/123456789/3861.

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The paper deals with the urgent problem of enabling better communication of IT-specialists in their business and interpersonal interaction using information and communication technologies, including cloud technologies. It is emphasized, that effective communication is an integral part of the successful professional work of IT-professionals, but in recent years it has undergone significant transformations, which have been expressed in new forms and means of communication, its content changes, its complications and volume increases, the need to improve its accuracy, and the level of understandin
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Hovakimyan, Naira, Hunmin Kim, Wenbin Wan, and Chuyuan Tao. Safe Operation of Connected Vehicles in Complex and Unforeseen Environments. Illinois Center for Transportation, 2022. http://dx.doi.org/10.36501/0197-9191/22-016.

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Autonomous vehicles (AVs) have a great potential to transform the way we live and work, significantly reducing traffic accidents and harmful emissions on the one hand and enhancing travel efficiency and fuel economy on the other. Nevertheless, the safe and efficient control of AVs is still challenging because AVs operate in dynamic environments with unforeseen challenges. This project aimed to advance the state-of-the-art by designing a proactive/reactive adaptation and learning architecture for connected vehicles, unifying techniques in spatiotemporal data fusion, machine learning, and robust
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Lytvynova, Svitlana H. Хмаро орієнтоване навчальне середовище загальноосвітнього навчального закладу. [б. в.], 2018. http://dx.doi.org/10.31812/0564/2451.

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Research goals: to outline the state of secondary education to implement a cloud-oriented learning environment (COLE), establishing research objectives: to determine the readiness of students to the introduction of COLE, to develop a conceptual framework of cooperation in COLE at the level of the institution, identify the actors interact COLE. The object of research supports the learning environment secondary schools; subject – a cloud-oriented learning environment of secondary schools. Research methods used: analysis of statistics and publications. Experimental research and conducted in secon
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