A series of algorithms were developed for speech classification and pitch frequency determination, modeling of sinusoidal amplitudes and phases, and frame interpolation.
The decision-making framework comprises four sequential steps: screening assessment, input parameter determination, model prediction, and evaluation for process optimization.
For the development of the NIR-based moisture determination model, 15 calibration experiments in the fluid bed dryer were performed.
Based on the analysis of several completed project cases from job sites, the conventional torque determination model based on experimentation proves rough enough to be improved.
A shape determination model for grain growth was developed by using solidification velocity and flow speed of the liquid as variations of affecting the shape of crystals.
In addition, the satellite itself features more straightforward attitude behavior, and a symmetric shape, simplifying the orbit determination models compared to T/P.
Apart from the current challenges for each of these, future perspectives should be directed towards material property determination, model validation, more complete multiphysics models and more energy-oriented and integrated "nexus" modelling of the dehydration process.
The results (drying endpoint and residual moisture) obtained via the NIR-based moisture determination model, the classical approach by means of indirect parameters and the mass balance model were then compared.
Discharge determination models such as the single channel method (SCM), the divided channel method (DCM), the coherence method (COHM) and the exchange discharge method (EDM) are widely used; however, they are insufficient to predict discharge accurately.
In order to build the determination models to screen transgene, a series mixture of Bt rice and normal rice were prepared for SERS assay, and the limit of detection was 0.1% (w/w) transgenic Bt rice relative to normal rice.
