239 resources related to Meteorological factors
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The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
2020 IEEE Photovoltaic Specialists Conference (PVSC)
Promote science and engineering of photovoltaic materials, devices, systems and applications
The Annual IEEE PES General Meeting will bring together over 2900 attendees for technical sessions, administrative sessions, super sessions, poster sessions, student programs, awards ceremonies, committee meetings, tutorials and more
2020 IEEE Radar Conference (RadarConf20)
Annual IEEE Radar Conference
All fields of satellite, airborne and ground remote sensing.
Experimental and theoretical advances in antennas including design and development, and in the propagation of electromagnetic waves including scattering, diffraction and interaction with continuous media; and applications pertinent to antennas and propagation, such as remote sensing, applied optics, and millimeter and submillimeter wave techniques.
IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.
Telephone, telegraphy, facsimile, and point-to-point television, by electromagnetic propagation, including radio; wire; aerial, underground, coaxial, and submarine cables; waveguides, communication satellites, and lasers; in marine, aeronautical, space and fixed station services; repeaters, radio relaying, signal storage, and regeneration; telecommunication error detection and correction; multiplexing and carrier techniques; communication switching systems; data communications; and communication theory. In addition to the above, ...
IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...
It is expected that GRS Letters will apply to a wide range of remote sensing activities looking to publish shorter, high-impact papers. Topics covered will remain within the IEEE Geoscience and Remote Sensing Societys field of interest: the theory, concepts, and techniques of science and engineering as they apply to the sensing of the earth, oceans, atmosphere, and space; and ...
1994 Proceedings of Canadian Conference on Electrical and Computer Engineering, 1994
Rain fade depths at EHF (30/20 GHz) frequencies are very high and this paper shows that by properly choosing the satellite orbit location we can reduce the variation in required rain fade margin over the service areas and to some extent the amount of over-design required to serve equally well all users. For a Canadian EHF geostationary satellite, it is ...
IEEE Communications Letters, 2012
It is believed that meteorological factors such as rain, wind or temperature do not affect significantly to wireless systems operating at radio frequencies below 10 GHz. However, using an appropriate statistical analysis to the measurements taken from an outdoor IEEE 802.11b/g WLAN, we show that this is not true. Although these networks operate at 2.4 GHz, we have been able ...
[Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management, 1991
2012 International Conference on Biomedical Engineering and Biotechnology, 2012
The relationships between monthly average concentration of atmospheric pollutants, meteorological factors and sulfation rate of 2009 were investigated. It was found that the sulfation rate not only depends on the concentration of SO<sub>2</sub>, but also significantly associated with PM<sub>10</sub>, since the surface of PM<sub>10</sub> plays an important role in the oxidation of SO<sub>2</sub>. Pressure and relative humidity play a positive ...
2010 Second IITA International Conference on Geoscience and Remote Sensing, 2010
Wire ice coating is very important to electric power design. And the ice coating research in Erlang Mountain is relatively urgent to the electricity transmitting from west to east in China. The ice coating record from 2002 to 2006 by Erlang Mountain wire ice coating observation station of Southwest Electric Power Design Institute (SWEPDI) was used to analyze the distrutition ...
Brooklyn 5G 2016: Dr. Peiying Zhu on Bringing 5G Into Reality
Does Power Efficiency Improve with Consolidation in the Semiconductor Industry? - Hans Stork, APEC 2018
Global Impact of IEEE Standards on Smart Grid: Bill Ash
Aperture Radar Products for the Management of Land and Water - GHTC 2012 Session - Guiseppe Ruello
The Evolution and Future of RF Silicon Technologies for THz Applications
Compact 75 GHz LNA with 20-dB Gain and 4-dB Noise Figure - Woorim Shin - RFIC Showcase 2018
Keynote: Victoria Mitchell - WIE ILC 2019
Tutorial: Model Predictive Control of Power Electronic Converters, Part One, Jose Rodriguez - IECON 2018
IEEE Themes - Social dynamics in peer-to-peer sharing networks
IEEE Themes - Science of Social Networking
Affordable Greenhouses for East Africa - GHTC 2012 Session - Khanjan Mehta
Remote Sensing in Community Forestry - GHTC 2012 Sessions - Eric Kaiser & Kimberly Roberts
Water and Agriculture - GHTC 2012 Session - Chilka Sharma
Historical Impact of Government Investment in High Performance Computing - Robert Leland: 2016 International Conference on Rebooting Computing
Do It Yourself: Home Solar
Tutorial: Model Predictive Control of Power Electronic Converters, Part Two, Tomislav Dragicevic - IECON 2018
Social Implications: Perils & Promises of AI - IEEE AI & Ethics Summit 2016
IEEE Themes - Efficient networking services underpin social networks
Injury Evaluation of Human-Robot Impacts
Rain fade depths at EHF (30/20 GHz) frequencies are very high and this paper shows that by properly choosing the satellite orbit location we can reduce the variation in required rain fade margin over the service areas and to some extent the amount of over-design required to serve equally well all users. For a Canadian EHF geostationary satellite, it is shown that the optimal subsatellite longitude is around 92.5/spl deg/W. Existing Canadian orbital slots are all west of this optimal location and the penalty for use of these non-optimal locations is on the order of 2 dB at 30 GHz for a 99.75% availability.<<ETX>>
It is believed that meteorological factors such as rain, wind or temperature do not affect significantly to wireless systems operating at radio frequencies below 10 GHz. However, using an appropriate statistical analysis to the measurements taken from an outdoor IEEE 802.11b/g WLAN, we show that this is not true. Although these networks operate at 2.4 GHz, we have been able to prove a significant relationship between some meteorological factors and the behavior of several control frames in these networks.
The relationships between monthly average concentration of atmospheric pollutants, meteorological factors and sulfation rate of 2009 were investigated. It was found that the sulfation rate not only depends on the concentration of SO<sub>2</sub>, but also significantly associated with PM<sub>10</sub>, since the surface of PM<sub>10</sub> plays an important role in the oxidation of SO<sub>2</sub>. Pressure and relative humidity play a positive role in improving the sulfation rate. H<sub>2</sub>O (g) in the air has the ability to condense the pollutants, and the sulfate rate is reduced by the by the precipitation scoured pollutants. Therefore, the sulfate rate is determined by H<sub>2</sub>O in air rather than the precipitation. The temperature and the wind speed affect the diffusion and dilution of pollutants, thereby determining the sulfation rate.
Wire ice coating is very important to electric power design. And the ice coating research in Erlang Mountain is relatively urgent to the electricity transmitting from west to east in China. The ice coating record from 2002 to 2006 by Erlang Mountain wire ice coating observation station of Southwest Electric Power Design Institute (SWEPDI) was used to analyze the distrutition and change of the ice coationg in this area. Then the impact of meteorological factors on the ice coating was discussed in detail. The results show that the ice coating in winter mainly includes mixed freezing and the rime. The mixed freezing is relatively frequent in most months in winter except in January. But the rime occurred mainly in relatively cool months as December, January and February. The density change range of different ice coating has a little difference. The glaze has higher density than rime and mixed freezing. Then a multiple regression between the ice density and many meteorological elements was proposed. At last the impact of topography on the ice coating was interviewed by comparasion. The standard ice thickness ratio in windward is greater than in leeward. But sometimes it is opposite in certain conditions.
The 250m 16-day composite EOS/MODIS products (MOD13Q1) from 2000 to 2006 were chosen for monitoring annual and seasonal variation of Gahai Lake area. And the effects of meteorological factors on Gahai Lake were also discussed. The method of single band with threshold value was applied to lake extraction. The results showed that in 2000~2002 Gahai Lake often dried up, but the lake water appearance time advanced each year. Since 2003, Gahai Lake didn't drought up. The annual average, maximum and minimum area of Gahai Lake increased year after year. Due to some recovery measures, such as the Project “Zhongqu River Water to Gahai Lake” and the Project “Converting Grazing to Grassland”, Gahai Lake area expanded quickly. Its seasonal variation presented peak-valley-peak trend, and the appearance time of peak value and valley value were different each year. In addition, Gahai Lake area was distinctly influenced by meteorological factors.
By using differential equations the initial area prediction model for forest fire based on meteorological factors was built. And the meteorological factors' period of forest fires was statistically analyzed in frigid temperate coniferous forest region and temperate broadleaved and conifer mixed forest region, as well as the range of average wind speed, relative humidity, and mean temperature and so on. The results indicate that forest fires occurred mainly from April to June and in October in frigid temperate coniferous forest region. While in temperate broadleaved and conifer mixed forest region, they occur mainly from March to June and in October. This model built in the paper has an average precision of 68.2%, which means that it can be used to predict the fire intensity after forest fires precisely.
Objective The different BP structures and algorithm of artificial neural network (ANN) are applied to seek the cholecystitis incidence rate forecasting method based on the meteorological data for 7 years in Haixizhou region, Qinghai province. Methods It is logical to select the three meteorological factors monthly mean temperature, mean pressure, mean relative humidity, as the input in the forecasting model. The forecasting model of cholecystitis incidence rate in Haixizhou region has three network structures (7-9-1), flowing from input factors determination to layer and node choice then to function activation of each layer and output factors determination. Results It can be conclude that the accelerated BP algorithm has faster training speed and higher convergence accuracy compared with the normal BP, and can reach the high forecasting precision of 98%, much larger than that of traditional multi- linear regression model. Conclusion This cholecystitis incidence rate forecasting model based on accelerated BP neural network has characteristics of simplicity, convenience, high precision and intelligence, and so can be extended in field of regional cholecystitis incidence rate forecast.
This paper describes the studies of the transmission line icing in recent years. Because the correlations among transmission line icing and meteorological factors are poor and the main influential factors can not be determined, they are often limited to qualitative description. In this paper, a synthetic grey relational analysis method is proposed. According to the transmission line online monitoring data, the associate degree among transmission line icing and meteorological factors would be determined, and to obtain the main meteorological influential factor during the icing monitoring period. Further, the example is used to prove that the application of the synthetic grey relational analysis method to study on the icing and meteorological factors is feasible and effective.
Short-term load forecasting is important for the economic and secure operation of power system. Taking the random disturbances, especially the meteorological factors into account are the key to improve forecasting precision. This paper presents ant colony clustering model to process the historical load days. Ants pick or drop samples decided by the similarity of it to its surroundings. After iterative processing, the historical load days with their meteorological characters are classified. Before load foresting, the weather conditions of forecasting day are got by weather forecast and a group of historical load data with similar meteorological characters are selected. Furthermore, in order to avoid local optimum and improve training speed, this paper presents improved BP neural network from adding dynamic parameters. By setting dynamic parameters related to input and output range, the error adjusting of output and hidden layer realizes intelligent control. As a result, at the same time to reduce the processing time, the precision of load forecasting is improved
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