Multi-objective optimization for characterization of optical flow methods
Optical flow methods are among the most accurate techniques for estimating displacement and velocity fields in a number of applications that range from neuroscience to robotics. The performance of any optical flow method will naturally depend on the configuration of its parameters. Beyond the standard practice of manual (ad-hoc) selection of parameters for a specific application, in this article we propose a framework for automatic parameter setting that allows searching for an approximated Pareto-optimal set of configurations in the whole parameter space. This final Pareto front characterizes each specific method, enabling proper method comparison. We define two performance criteria, namely the accuracy and speed of the optical flow methods.
A new oxygen-enrich combustion chamber of micro gas turbine running with flue gas circulating was preliminary designed.The basic geometric dimension of the combustion chamber, the location of the secondary air and mixing cooling hole,and the swirl burner's structure were designed to meet the requirements of high combustion efficiency and stability,total pressure recovery coefficient,outlet temperature field regulation and other aspects.Besides,the CFD software was used to study the performance of designed combustion chamber,like hot flow field,combustion stability,combustion efficiency,pressure loss and so on.The results show that,the combustion chamber has reasonable flow field,stable combustion,high combustion efficiency and small pressure loss,which basically satisfies the design requirements.