Small area estimation has received a lot of attention in recent years due to growing demand for reliable small area statistics. Traditional area-specific estimators may not provide adequate precision because sample sizes in small areas are seldom large enough. This makes it necessary to employ indirect estimators based on linking models. Basic area level and unit level models have been extensiv...

This paper describes a hierarchical estimation framework for the computation of diverse representations of motion information. The key features of the resulting framework (or family of algorithms) a,re a global model that constrains the overall structure of the motion estimated, a local rnodel that is used in the estimation process, and a coa,rse-fine refinement strategy. Four specific motion m...

awareness of the level of river flow and its fluctuations at different times is one of the significant factor to achieve sustainable development for water resource issues. therefore, the present study two hybrid models, wavelet- adaptive neural fuzzy interference system (wanfis) and wavelet- artificial neural network (wann) are used for flow prediction of gamasyab river (nahavand, hamedan, iran...

In this paper, a novel stator current based Model Reference Adaptive System (MRAS) estimator for speed estimation in the speed-sensorless vector controlled induction motor drives is presented. In the proposed MRAS estimator, measured stator current of the induction motor is considered as a reference model. The estimated stator current is produced in an adjustable model to compare with the measu...

While the common kinds of uncertainties in databases e g null values disjunction corrupt missing data domain mis match etc have been extensively studied a relatively unexplored form of uncertainty in databases called inaccurate data demands due attention Inaccurate data results when data are contributed by various information agents with some known reliability Though the data itself is total or...

Real-time pose estimation systems are fundamentally difficult to evaluate. Pose estimation performance is a function of the object geometry, environmental conditions, line of sight, sensor characteristics, algorithm characteristics, and computational platform. This paper presents lessons learned from Neptec’s two operational space systems for real-time dynamic pose estimation: the Space Vision ...

Biologically focused, agent-based models need many parameters in order to simulate system dynamics. It is often essential to explore the consequences of many parameter vectors before satisfactorily representing phenomena. In this work we propose a simple algorithm based on fuzzy clustering to estimate model parameter values for new situations utilizing the characteristics of previously simulate...

Unknown dose regimes are typically assessed on animals prior to clinical trials. Recent advances in the evaluation of new leads’ efficacy have been achieved by pharmacokinetic modeling. Further improvements, including determination of the drug’s mechanism of action and organism biodistribution, require an effective methodology for solving parameter estimation challenges. This article solves the...