Export Citations
Save this search
Please login to be able to save your searches and receive alerts for new content matching your search criteria.
- research-articleApril 2023
Aircraft Cruise Altitude and Speed Profile Optimization in a Real Atmosphere
- V. A. Alexandrov,
- E. Yu. Zybin,
- V. V. Kosyanchuk,
- N. I. Selvesyuk,
- E. A. Stefanyuk,
- A. A. Tremba,
- M. V. Khlebnikov
Automation and Remote Control (ARCO), Volume 84, Issue 4Pages 327–336https://doi.org/10.1134/S0005117923040021AbstractThis paper considers subsonic turbojet aircraft fuel consumption minimization problem during cruise phase, assuming fixed time of arrival. The problem takes into account real atmosphere data. We utilize tailwind/headwind component values at ...
- research-articleJanuary 2019
Effect of caffeine consumption and air temperature on student performance
- Alwaleed Almaqra,
- Mohammed Almuqri,
- Abdullah Alshathri,
- Abdullah Aloraini,
- Yousef Alrehaili,
- Abdulaziz Bin-Mubarak,
- Saad Alabdulkarim,
- Adham Ragab
IC4E '19: Proceedings of the 10th International Conference on E-Education, E-Business, E-Management and E-LearningPages 250–254https://doi.org/10.1145/3306500.3309991Background: Existing evidence suggests that caffeine consumption (CC) and air temperature (AT) can affect cognitive performance. Both factors can affect a whole-body measure (metabolism). The interactive effect between the two factors is less understood ...
- research-articleOctober 2018
Empirical models for estimating the global solar radiation based on air temperature and sunshine duration
SCA '18: Proceedings of the 3rd International Conference on Smart City ApplicationsArticle No.: 79, Pages 1–6https://doi.org/10.1145/3286606.3286856This work aims to develop and validate empirical models for estimating global solar radiation at site of Alhoceima based on the meteorological data measured during the period 2010-2017. The empirical models studied in this paper are broken down into two ...
- ArticleNovember 2012
Bayesian variable selection in neural networks for short-term meteorological prediction
ICONIP'12: Proceedings of the 19th international conference on Neural Information Processing - Volume Part IVPages 289–296https://doi.org/10.1007/978-3-642-34478-7_36This work examines the influence of Bayesian variable selection on neural architectures for global solar irradiation and air temperature time series prediction. These models, 3 neural architectures with differing input and output processing strategies [...
- ArticleFebruary 2011
Relationship between Ecosystem Carbon Fluxes and Canopy Radiometric Temperature Using Infrared Thermometry in a Ryegrass Ecosystem
CDCIEM '11: Proceedings of the 2011 International Conference on Computer Distributed Control and Intelligent Environmental MonitoringPages 930–933https://doi.org/10.1109/CDCIEM.2011.394Using the closed chamber technique daily changes of net ecosystem carbon dioxide (CO2) exchange (NEE) and ecosystem respiration (Re) were determined in a ryegrass ecosystem on eight separated days at half hour interval from morning to afternoon in ...
- ArticleDecember 2010
Air Temperature Prediction Based on EMD and LS-SVM
ICGEC '10: Proceedings of the 2010 Fourth International Conference on Genetic and Evolutionary ComputingPages 177–180https://doi.org/10.1109/ICGEC.2010.51Air temperature is closely related to life and affects all aspects of life. Therefore, the forecast of the temperature is more far-reaching. In this paper, a new model based on EMD (Empirical Mode Decomposition) and LS-SVM (Least Squares Support Vector ...
- ArticleNovember 2009
Map Similarity Testing Using Matrix Decomposition
INCOS '09: Proceedings of the 2009 International Conference on Intelligent Networking and Collaborative SystemsPages 290–294https://doi.org/10.1109/INCOS.2009.74The similarity of two maps can be most easily compared visually. In this case, the degree of similarity is very subjective. It is therefore necessary to find an objective method for measuring similarity. This paper presents a method based on Singular ...
- ArticleApril 1997
Coupling general circulation model (CCM3) with mesoscale model (MM5) for regional climate studies
The NCAR/CCM3 general circulation model (GCM) is coupled with regional weather prediction model PSU/NCAR MM5 for regional climate studies. The main motivation for this effort comes from the observation that the representation of sub-GCM grid scale ...