The design of hydraulic turbine draft tubes has traditionally been based on simplified analytic methods, model and full-scale experiments.
The large semantic gap motivates that most methods model scenes resorting to mid-level representations (e.g. objects, topics).
The application of chemometric methods in electroanalytical chemistry has been mostly used for solving overlapping signals, multivariate calibration methods, model identification and optimization of analytical procedures.
This approach takes advantage of two different model refinement methods (optimal-update and design sensitivity) and two different model size matching methods (model reduction and eigenvector expansion).
Coupling conventional controller design methods, model based controller synthesis and simulation, and multi-objective evolutionary optimisation methods frequently results in an extremely computationally expensive design process.
With its critical review of narrative research methods, model of analysis for the systematic study of life stories and identity, and vision of how narrative studies may contribute to theory and research in the social sciences, Storylines is an eloquent and important book for narrative psychology and lifespan development.
The second part describes the design and testing of physical scale models including topics such as test facilities, wave generation methods, model design, measurement equipment, or testing the device under different wave conditions.
This group of methods model the atmospheric phenomenon in real outdoor scenes.
These methods model nodes as masses connected using springs, referred to as mass spring method.
Different types of methods model the connectivity embedded in brain networks in different ways.
Some of the other methods model saliency based on both of the biological and computational models.
