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Causes and impacts of the 2005 Amazon drought

Ning Zeng, Jin-Ho Yoon, Jose A Marengo, Ajit Subramaniam, Carlos A Nobre, Annarita Mariotti, J David Neelin
2008 Environmental Research Letters  
We have included OLR as an important dataset here because the interannual variability (in terms of relative change) from OLR still provides reliable (possibly more so than many other methods as discussed  ...  The conversion of OLR to precipitation rate requires nontrivial calibration that may be location and season dependent [3] , as in the case of the blended/merged datasets [6, 7] .  ... 
doi:10.1088/1748-9326/3/1/014002 fatcat:trv2hrnh7japtf7bw5ndhhzbme

Critical Success Factors for Adopting Cloud Computing in the Pharmaceutical Manufacturing Companies

Mohammad Saleem Al - Shura, Abdelrahim M. Zabadi, Mohamad Abughazaleh, Marwa A. Alhadi
2018 Advances in Economics and Business  
Therefore, this paper depends on the technological-organizational-environmental (TOE) framework to explore the factors that influence on cloud computing adoption by pharmaceutical industry firms in Jordan  ...  In summary, the results of this research have shown that all above-mentioned factors were found to have a significant influence on adoption of cloud computing for the pharmaceutical industry in Jordan.  ...  The level of influence of these dimensions depends on the β value (i.e. higher β value is the higher impact on the adoption of cloud computing (dependent variable).  ... 
doi:10.13189/aeb.2018.060303 fatcat:5xcogmeexzbnrhd6eolxvpa7we

Factors Influencing Employees' Intention to Use Cloud Computing

Ali Tarhini, Ra'ed Masa'deh, Ali Al-Badi, Majdolen Almajali, Sufian Hussien Alrabayaah
2017 Journal of Management and Strategy  
The results of T-test also showed that there is a significant difference in the impact of BI to use cloud computing in favor of gender.  ...  On the other hand, the results of ANOVA's test showed that there is no significant difference in the impact of BI that can be attributed to age, educational level, and personal income; whereas a significant  ...  impact of perceived ease of use on behavioral intention to use cloud computing.  ... 
doi:10.5430/jms.v8n2p47 fatcat:ubtlen5lvzgovi47mvfjtbtqlq

Critical Success Factors for Adopting Cloud Computing in the Pharmaceutical Manufacturing Companies

Mohammad Saleem AL-SHURA, The World Islamic Science & Education University (Wise), Jordan, Abdelrahim M. ZABADI, Mohamad ABUGHAZALEH, Marwa A. ALHADI, University of Business &Technology (UBT), Saudi Arabia, Khalifa Industrial Zone Abu Dhabi, United Arab Emirates, Computer Science Department, College of Engineering, Sana'a University, Yemen
2018 Management and Economics Review  
Therefore, this paper depends on the technological-organizational-environmental (TOE) framework to explore the factors that influence on cloud computing adoption by pharmaceutical industry firms in Jordan  ...  In summary, the results of this research have shown that all above-mentioned factors were found to have a significant influence on adoption of cloud computing for the pharmaceutical industry in Jordan.  ...  Moreover, it improves the quality, productivity and company's performance. As a result of the above-mentioned benefits, the relative advantage has a positive impact on adoption of cloud computing.  ... 
doi:10.24818/mer/2018.12-01 fatcat:xvlgxa3tjjeedhj2okoy2hym54

Training Modern Deep Neural Networks for Memory-Fault Robustness [article]

Ghouthi Boukli Hacene, François Leduc-Primeau, Amal Ben Soussia, Vincent Gripon, François Gagnon
2019 arXiv   pre-print
Because deep neural networks (DNNs) rely on a large number of parameters and computations, their implementation in energy-constrained systems is challenging.  ...  We explore the robustness of state-of-the-art DNN architectures towards such defects and propose a regularizer meant to mitigate their effects on accuracy.  ...  Many such embedded applications cannot rely on cloud-based processing because of stringent latency constraints or privacy issues.  ... 
arXiv:1911.10287v1 fatcat:evnaen65zzcpvetzzz3m47ekmu

Optical transfer in space communication

Andrea Farkasvölgyi, István Frigyes
2018 Infocommunications journal  
It summerizes the advantages and disadvantages of optical transmissions in case of near-earth and deep space region.  ...  We present the most significant problems during FSO link application and introduce some techniques to eliminate the drawbacks.  ...  The International Telecommunication Union (ITU) defines deep space as a distance that is larger than 2 million km, so  ... 
doi:10.36244/icj.2018.3.2 fatcat:6csfaczdwnfzdlaqi25hq5skvy

An Empirical Investigation of the Challenges of Cloud-Based ERP Adoption in Pakistani SMEs

Mujtaba Awan, Niamat Ullah, Sikandar Ali, Irshad Ahmed Abbasi, Muhammad Shabbir Hassan, Hizbullah Khattak, Jiwei Huang, Habib Ullah Khan
2021 Scientific Programming  
However, the motivation regarding the adoption of these systems in SMEs is relatively low in developing countries. This fact urges us to investigate the challenges faced by Pakistani SMEs.  ...  This can also contribute to the lack of the literature of cloud ERP and delivers insight for future study by practitioners and researchers.  ...  According to P1, P3, and P8, the cloud-based ERP mostly depends on the Internet in developing countries the reliability of Internet connectivity is a question.  ... 
doi:10.1155/2021/5547237 fatcat:ik5a6zchfja7zbavahw6uj64u4

Deep Learning Point Cloud Odometry

Bernardo Teixeira, Hugo Silva
2021 U Porto Journal of Engineering  
In addition, a broad perspective of emergent Deep Learning robust techniques to track motion and estimate scene structure for real-world applications is the focus of a deeper analysis and comprehensive  ...  comparison.Furthermore, existing Deep Learning approaches and techniques for point cloud odometry tasks are explored, and the main technological solutions are compared and discussed.Open challenges are  ...  Acknowledgements The authors wish to acknowledge the support of the Portuguese funding agency, FCT -Fundação para a Ciência e a Tecnologia, through PhD research grant 2020.05052.BD.  ... 
doi:10.24840/2183-6493_007.003_0006 fatcat:orrlfkowkzgsjijnl5vnlczzzm

Fault Localization in Cloud using Centrality Measures [article]

Narayanaa S R, Sivaranjan M, Lekshmi R S
2021 arXiv   pre-print
With multiple modules like databases, run-time cloud, etc. making up a distributed environment and extensively, a cloud environment, we aim to address the problem of optimally and accurately performing  ...  Fault localization is an imperative method in fault tolerance in a distributed environment that designs a blueprint for continuing the ongoing process even when one or many modules are non-functional.  ...  Fault detection using deep learning is also studied in the case of small amount of cloud fault feature data [3] .  ... 
arXiv:2109.11390v1 fatcat:4w32mt6zo5awdgg67ob6fhivr4

Evaluating robustness of cloud-based systems

Franck Chauvel, Hui Song, Nicolas Ferry, Franck Fleurey
2015 Journal of Cloud Computing: Advances, Systems and Applications  
To stand out of this diversity, robustness of service compositions is an important selling argument, but which remains difficult to understand and estimate as it does not only depend on services but also  ...  on the underlying platform and infrastructure.  ...  Acknowledgement The research leading to these results has received funding from the European  ... 
doi:10.1186/s13677-015-0043-7 fatcat:42beykskmfbbbav6hs3rjjfy4a

Predictability of Resource Intensive Big Data and HPC Jobs in Cloud Data Centres

Christopher B. Hauser, Jorg Domaschka, Stefan Wesner
2018 2018 IEEE International Conference on Software Quality, Reliability and Security Companion (QRS-C)  
The assumption is, that the execution behaviour of such computations depends on the computation and the environment parameters.  ...  Especially with resource intensive computations like HPC or big data processing jobs, neighbouring applications in a cloud data centre may experience less performance of their assigned virtual resources  ...  ACKNOWLEDGEMENTS The research leading to these results has received funding from the federal state of Baden-Württemberg (Germany), under the Project "ViCE -Virtual Open Science Collaboration Environment  ... 
doi:10.1109/qrs-c.2018.00069 dblp:conf/qrs/HauserDW18 fatcat:p7tcclr5ybgjjgnwdjbstctonq

Enabling and Leveraging AI in the Intelligent Edge: A Review of Current Trends and Future Directions

Tom Goethals, Bruno Volckaert, Filip De Turck
2021 IEEE Open Journal of the Communications Society  
" of the edge using AI, and AI "Applications" in the edge as its main topics.  ...  applications in the edge.  ...  The research in this paper has been funded by Vlaio by means of the FLEXNET research project.  ... 
doi:10.1109/ojcoms.2021.3116437 fatcat:knvl27fcwrarjhhua7zo475lwy

The Kain–Fritsch Convective Parameterization: An Update

John S. Kain
2004 Journal of applied meteorology (1988)  
The specific formulation of the modifications evolved from an effort to produce desired effects in numerical weather prediction while also rendering the scheme more faithful to observations and cloud-resolving  ...  Most changes were inspired by feedback from users of the scheme (primarily numerical modelers) and interpreters of the model output (mainly operational forecasters).  ...  I am very grateful to Peter Bechtold of ECMWF for his thoughtful suggestions on this manuscript and for his close collaboration over the last decade.  ... 
doi:10.1175/1520-0450(2004)043<0170:tkcpau>2.0.co;2 fatcat:6c3ilijenfaqjgtw4ikwefvypq

Multiple Classification with Split Learning [article]

Jongwon Kim, Sungho Shin, Yeonguk Yu, Junseok Lee, Kyoobin Lee
2020 arXiv   pre-print
Second, the cloud model including most parts of the whole training model gets the embedded features from the massive local clients, and performs most of deep learning operations which takes severe computing  ...  After the operations in cloud model finished, outputs of the cloud model send back to local clients.  ...  In other words, the cloud server will cover a large operation in overall model learning, and the client will have a relatively small operation.  ... 
arXiv:2008.09874v3 fatcat:ml2dtb22qrbo7pjb73rtslf2ky

Application of deep convective cloud albedo observation to satellite-based study of the terrestrial atmosphere: monitoring the stability of spaceborne measurements and assessing absorption anomaly

Yongxiang Hu, B.A. Wielicki, Ping Yang, P.W. Stackhouse, B. Lin, D.F. Young
2004 IEEE Transactions on Geoscience and Remote Sensing  
The absorptions of these clouds from observations are around 25%, whereas the absorptions from theory can be as low as 18%, depending on ice cloud microphysics.  ...  This method is based on four-years of Clouds and the Earth's Radiant Energy System (CERES) broadband observations of deep convective cloud systems with cloud-top temperature lower than 205 K and with large  ...  ACKNOWLEDGMENT The authors would like to thank D. Anderson (NASA Headquarters) for financial support and K. Meyer for correcting the manuscript  ... 
doi:10.1109/tgrs.2004.834765 fatcat:uggrparxxven7mjmis3nccns5m
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