Abstract Synthetic estimators are known to produce estimates of population mean in areas where no sampled data available, but such usually highly biased with invalid confidence statements. This paper presents a calibrated synthetic estimator the which addresses these problematic issues. Two special cases this were obtained form combined ratio and regression estimators, using selected tuning par...

Small area estimation is an important tool to produce estimates of poverty for regions with low or zero sample sizes. Estimates are typically obtained by combining a consumption survey reporting on and census providing the spatial disaggregation. This paper discusses updating method that produces up-to-date small when only dated more recent available predictors subject drift over time, situatio...

Strong interests in the small-sample problem have been given towards for establishing several information diffusion techniques for pattern recognition. In this paper, we review and formalize three techniques: the soft histogram, the self-study discrete regression, and the interior-outer-set model. To promote the development of this area, in this paper we suggest two open topics: the anti-accura...

We explore the application of Small-Scale Reconfigurability (SSR) to graphics hardware. SSR is an architectural technique wherein functionality common to multiple subunits is reused rather than replicated, yielding high-performance reconfigurable hardware with reduced area requirements (Vijay Kumar and Lach 2003). We show that SSR can be used effectively in programmable graphics architectures t...

The advancement in digital photogrammetry has made photogrammetric technique become simpler, faster and lower cost. Currently, this method is quite popular in covering small and large area. This study examines the use of digital camera of high resolution in capturing aerial photograph based on unmanned aerial vehicle (UAV) as the airborne platform. The study area covered is the area of Universi...