The fundamental dilemma for process monitoring is deficient knowledge to establish relative accurate mathematical process description while incomplete methodology to exploit abundant data to reveal process mechanisms and operational statuses.
This work proposes an innovative methodology to exploit wind flow fields, calculated by means of computational fluid dynamic (CFD) codes in urban environments, within the geographical information system (GIS) platform.
For instance, Pai and Lin (2005) proposed a series hybrid methodology to exploit the unique strength of autoregressive integrated moving average (ARIMA) and support vector machines (SVMs) to forecast stock price and indicated that a hybrid model outperforms its components.
Although the work considers the in-house developed UWB radio (Figure 1) for demonstrating the techniques, the results are of general importance which can enable engineers to follow similar methodology to exploit the hardware and spectrum to achieve a higher possible range and bitrate.
This work highlights the importance of broadening the time-frame through which we look at marine ecosystem changes and provides a methodology to exploit, in a quantitative framework, historical qualitative sources.
We provide an example methodology to exploit this framework using SAR data with realistic observation errors.
On the one hand, it is encouraging to see the good results obtained by RDE, especially for the big improvement on bigram features using Random Forest, which shed light on the methodology to exploit high-order features which were not utilized well in classical methods for IR and NLP due to data sparseness.
A new methodology is derived to exploit vehicle dynamics (VD) information by embeding the VD equations directly in an extended Kalman filter architecture.
The methodology that we seek to exploit is the recently developed algorithm based on Cartesian expansions for accelerating the computation of potentials of the form Rν. In this paper, we present an efficient methodology for computing these polynomials for two different scenarios; where the size of the domain spans the distance travelled by light in (i) one time step and (ii) multiple time steps.
The paper reports in detail a methodology to fully exploit the potential of a SIMD (Single Instruction Multiple Data) vector extension in the evaluation of certain type of integrals, which occur in the numerical solution of a Boundary Integral Equation (BIE) through the Boundary Element Method (BEM).
