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The impact of model microphysics on the relationships among hydrometeor profiles, latent heating, and derived satellite microwave brightness temperatures T B have been examined using a nonhydrostatic, adap-tive-grid cloud model to simulate a mesoscale convective system over water. Two microphysical schemes (each employing three-ice bulk parameterizations)(More)
The principal mode of the seasonal variation of the Asian summer monsoon (ASM) and the temporal and spatial evolution of the corresponding synoptic fields are investigated via cyclostationary EOF analysis. This study uses the 21-year (1979-99) Xie-Arkin precipitation pentad data and National Center for Environmental Prediction daily reanalysis data focusing(More)
We use the CSIRO-Mk3.6 coupled climate model to examine the impact of anthro-pogenic aerosols (AAs) and long-lived greenhouse gases (GHGs) on aspects of the global ocean circulation. Focusing on the second half of the twentieth century, we compare multiple ten member ensembles of historical climate change, which are forced by different combinations of(More)
Since conventional relay system is based on orthogonal two-phase transmission, where time slots for source and relay are exclusively allocated to avoid interference, the conventional relay schemes suffer from the reduction in spectral efficiency. In this paper, we propose cognitive radio (CR) based parallelized relaying scheme which maximizes spectral(More)
Whether there is an independent component of MJO associated with El Niño Southern Oscillation (ENSO) is investigated using Xie-Arkin precipitation and NCEP reanalysis pentad data. The analysis tool employed here is the cyclostationary empirical orthogonal function (CSEOF) technique. As a result of the analysis, the evolution of the precipitation pattern for(More)
From a system perspective, cost effectiveness and high-precision location information are important in wireless sensor networks (WSNs). Since a weighted centroid localization (WCL) algorithm can reduce hardware installation cost and guarantee localization accuracy, this algorithm is considered as one of the promising localization algorithms for WSNs. In(More)
Developed in this article are theories of the so-called linear estimation techniques. The methods are exclusively based on the space-time empirical orthogonal functions which describe nonuniform covariance statistics of background uctuations of investigated variable. Two speciic methods to be discussed are the detection and the estimation algorithms with(More)
This paper proposes a new detection scheme for concealed micro-electronic devices by analyzing harmonic waves which are reflected from targets with classification restricted Boltzmann machine algorithm (Class/RBM). This new method exploits the characteristics of the second and the third harmonics waves to classify metal and electronic devices, as is done in(More)