We proposed two approaches to tracking moving target with bearing-only measurement through incorporating observer trajectory optimization into passive tracking systems. The two optimizers algorithm are designed separately, and they are independent of any state estimators, which make them possible to be combined with any state estimators to achieve high accuracy maneuvering/non-maneuvering targe...

In this paper, the effective parameters on the ductility demand of the seismically base isolated structure are investigated, and then a relation between the strength reduction factor and the target ductility is presented. The investigation has been conducted by modelling the base isolated structure as a two degree of freedom model in the OpenSees software, and the possibility of yielding in the...

Parameter reconstructions are indispensable in metrology. Here, the objective is to explain K experimental measurements by fitting them a parameterized model of measurement process. The parameters regularly determined least-square methods, that is, minimizing sum squared residuals between predictions and observations, χ2. functions often involve computationally demanding numerical simulations. ...

the main purpose in this paper, to express strong algorithmic optimization in their ability to detect expression target of sar that use in aircraft, plane and satellites to observe the target on the ground. for this purpose,the sar technology and its applications are introduced. previous algorithms used in this field with poor diagnosis and appropriate speed is low, like means and fuzzy and pso...

The computational method of constrained constructive optimization was used to generate complex arterial model trees by optimization with respect to a target function. Changing the target function also changes the tree structure obtained. For a parameterized family of target functions a series of trees was created, showing visually striking differences in structure that can also be quantified by...

E-learning model is examined of three major dimensions. And each dimension has a range of indicators that is effective in optimization and modeling, in many optimization problems in the modeling, target function or constraints may change over time that as a result optimization of these problems can also be changed. If any of these undetermined events be considered in the optimization process, t...