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Few studies have evaluated how per-pixel structural configurations could impact spectral response. This has an impact on how we assess especially large area/global ecosystems. In an effort to understand this impact of sub-pixel structural variation on large-footprint imaging spectroscopy, a simulation approach was used, which provides precise knowledge of target geometry and radiometry. We demonstrated...
An empirical mode decomposition based recurrent Hermite neural network (ERHNN) prediction model is proposed to predict short-term traffic flow in this study. First, a recurrent Hermite neural network (RHNN) prediction model with different orthonormal Hermite polynomial basis functions (OHPBFs) as activation functions is introduced. Then, to further mitigate the influence of noise and improve the accuracy...
This paper presents a compact model of impact ionization currents in lateral double-diffused MOS (LDMOS) transistors. Depending on bias conditions, impact ionization in LDMOS transistors primarily occurs either in the intrinsic MOSFET or in the drift region, leading to a “double-hump” substrate current behavior and enhanced drain current when both and are high. Impact ionization in the...
In order to effectively reduce the workload arising from database model changes during the system development, through the research on the iBATIS and data dictionary, doubly persistence layer would be established during the database system development, that is, based on data persistence Layer, we should build data dictionary persistence Layer and business layer of data dictionary which could effectively...
Due to the complexity of wastewater treatment process, it is difficult to apply the existing mathematical models in practice. A new model is presented for the wastewater treatment process in this paper. This model is based on Benchmark Simulation Model no.1 (BSM1) modeling method, and then simplifies Activated Sludge Model No. 1 (ASM1) which was set up to connect the secondary settler model dynamically...
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