The Experts below are selected from a list of 42 Experts worldwide ranked by ideXlab platform
Sunling Gong - One of the best experts on this subject based on the ideXlab platform.
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multi Component atmospheric aerosols prediction by a multi functional mc hdmr approach
Atmospheric Research, 2012Co-Authors: Kai Fu, Dong Liang, Wenqia Wang, Yu Cheng, Sunling GongAbstract:Abstract In this paper, a multi-functional moving-cut high-dimensional model representation (MC-HDMR) approach is developed for simulation of multi-Component Input and output aerosols. This method leads to an aerosol prediction database system based on full thermodynamic models such as ISORROPIA. The developed prediction system can efficiently compute the prediction of aerosol thermodynamic equilibrium in high-dimensional domains with a large range of aerosol concentrations from 10 - 9 mol m - 3 to 10 - 5 mol m - 3 and for different types of aerosols including aerosols containing sea salt Component. Numerical computations show the great computational efficiency of the method that its CPU-time cost is much less compared to ISORROPIA. Three types of aerosols of urban, non-urban continental and marine are considered and the multi-Component outputs predicted by the approach are in great agreement with those by ISORROPIA and AIM2. Actual aerosol examples in European and Asian cities are simulated by the approach and ISORROPIA and AIM2. Numerical results match very well and show heavier traffic pollution at the areas of HU02, IT01 and NL09 among six European stations, more anthropogenic pollution in Shanghai than other three Asian cities, and Hong Kong's aerosols affected by the marine environment.
Dong Liang - One of the best experts on this subject based on the ideXlab platform.
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multi Component atmospheric aerosols prediction by a multi functional mc hdmr approach
Atmospheric Research, 2012Co-Authors: Kai Fu, Dong Liang, Wenqia Wang, Yu Cheng, Sunling GongAbstract:Abstract In this paper, a multi-functional moving-cut high-dimensional model representation (MC-HDMR) approach is developed for simulation of multi-Component Input and output aerosols. This method leads to an aerosol prediction database system based on full thermodynamic models such as ISORROPIA. The developed prediction system can efficiently compute the prediction of aerosol thermodynamic equilibrium in high-dimensional domains with a large range of aerosol concentrations from 10 - 9 mol m - 3 to 10 - 5 mol m - 3 and for different types of aerosols including aerosols containing sea salt Component. Numerical computations show the great computational efficiency of the method that its CPU-time cost is much less compared to ISORROPIA. Three types of aerosols of urban, non-urban continental and marine are considered and the multi-Component outputs predicted by the approach are in great agreement with those by ISORROPIA and AIM2. Actual aerosol examples in European and Asian cities are simulated by the approach and ISORROPIA and AIM2. Numerical results match very well and show heavier traffic pollution at the areas of HU02, IT01 and NL09 among six European stations, more anthropogenic pollution in Shanghai than other three Asian cities, and Hong Kong's aerosols affected by the marine environment.
Kai Fu - One of the best experts on this subject based on the ideXlab platform.
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multi Component atmospheric aerosols prediction by a multi functional mc hdmr approach
Atmospheric Research, 2012Co-Authors: Kai Fu, Dong Liang, Wenqia Wang, Yu Cheng, Sunling GongAbstract:Abstract In this paper, a multi-functional moving-cut high-dimensional model representation (MC-HDMR) approach is developed for simulation of multi-Component Input and output aerosols. This method leads to an aerosol prediction database system based on full thermodynamic models such as ISORROPIA. The developed prediction system can efficiently compute the prediction of aerosol thermodynamic equilibrium in high-dimensional domains with a large range of aerosol concentrations from 10 - 9 mol m - 3 to 10 - 5 mol m - 3 and for different types of aerosols including aerosols containing sea salt Component. Numerical computations show the great computational efficiency of the method that its CPU-time cost is much less compared to ISORROPIA. Three types of aerosols of urban, non-urban continental and marine are considered and the multi-Component outputs predicted by the approach are in great agreement with those by ISORROPIA and AIM2. Actual aerosol examples in European and Asian cities are simulated by the approach and ISORROPIA and AIM2. Numerical results match very well and show heavier traffic pollution at the areas of HU02, IT01 and NL09 among six European stations, more anthropogenic pollution in Shanghai than other three Asian cities, and Hong Kong's aerosols affected by the marine environment.
I H White - One of the best experts on this subject based on the ideXlab platform.
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multimode polymer waveguide Components for complex on board optical topologies
Journal of Lightwave Technology, 2013Co-Authors: A Hashim, Nikolaos Bamiedakis, R V Penty, I H WhiteAbstract:Multimode polymer waveguides are an attractive transmission medium for board-level optical links as they provide high bandwidth, relaxed alignment tolerances, and can be directly integrated onto conventional printed circuit boards. However, the performance of multimode waveguide Components depends on the launch conditions at the Component Input, complicating their use in topologies that require the concatenation of multiple multimode Components. This paper presents key polymer Components for a multichannel optical bus and reports their performance under different launch conditions, enabling useful rules that can be used to design complex interconnection topologies to be derived. The Components studied are multimode signal splitters and combiners, 90°-crossings, S-bends, and 90°-bends. By varying the width of the splitter arms, a splitting ratio between 1% and 95% is achieved from the 1 × 2 splitters, while low-loss signal combining is demonstrated with the waveguide combiners. It is shown that a 3 dB improvement in the combiner excess loss can be achieved by increasing the bus width by 50 μm. The worst-case insertion loss of 50 × 100 μm waveguide crossings is measured to be 0.1 dB/crossing. An empirical method is proposed and used to estimate the insertion losses of on-board optical paths of a polymeric four-channel optical bus module. Good agreement is achieved between the predicted and measured values. Although the Components and empirical method have been tailored for use in a multichannel optical bus architecture, they can be used for any on-board optical interconnection topology.
Yu Cheng - One of the best experts on this subject based on the ideXlab platform.
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multi Component atmospheric aerosols prediction by a multi functional mc hdmr approach
Atmospheric Research, 2012Co-Authors: Kai Fu, Dong Liang, Wenqia Wang, Yu Cheng, Sunling GongAbstract:Abstract In this paper, a multi-functional moving-cut high-dimensional model representation (MC-HDMR) approach is developed for simulation of multi-Component Input and output aerosols. This method leads to an aerosol prediction database system based on full thermodynamic models such as ISORROPIA. The developed prediction system can efficiently compute the prediction of aerosol thermodynamic equilibrium in high-dimensional domains with a large range of aerosol concentrations from 10 - 9 mol m - 3 to 10 - 5 mol m - 3 and for different types of aerosols including aerosols containing sea salt Component. Numerical computations show the great computational efficiency of the method that its CPU-time cost is much less compared to ISORROPIA. Three types of aerosols of urban, non-urban continental and marine are considered and the multi-Component outputs predicted by the approach are in great agreement with those by ISORROPIA and AIM2. Actual aerosol examples in European and Asian cities are simulated by the approach and ISORROPIA and AIM2. Numerical results match very well and show heavier traffic pollution at the areas of HU02, IT01 and NL09 among six European stations, more anthropogenic pollution in Shanghai than other three Asian cities, and Hong Kong's aerosols affected by the marine environment.