Corners are rich in high frequency components. A low-pass filter suppresses corners and results in a smooth curve. Therefore, corner points have a larger amount of shift than other points and can easily be detected by a low-pass filter. Experiments suggest that a moving average can do this job suitably with a low computational load and good locality in spatial domain. A moving average with a sm...

Smoothing or filtering of data is first preprocessing step for noise suppression in many applications involving data analysis. Moving average is the most popular method of smoothing the data, generalization of this led to the development of Savitzky-Golay filter. Many window smoothing methods were developed by convolving the data with different window functions for different applications; most ...

With new developments in positioning systems and electronics, various researches for moving objects have progressed [3,5,6]. Our paper is related to selection queries considering future positions of moving objects, which are referred to as future queries [5]. An example of the future query is as follows: “which airplanes will be inside a query window 20 minutes from now?” Airplanes correspond t...

✝ This research is supported in part by grants from UFRJ, CNPq, PROTEM, CAPES and FUJB. ∗ Corresponding author Abstract. This paper proposes a traffic policing mechanism for multimedia communication systems with quality of service guarantees, called Slotted Moving Window (SMW). Moreover, it also presents efficient implementations of SMW and several other well known traffic policing mechanisms, ...

This paper provides a new and fast method for matching and recognition of characters in Arabic license plate images. For this purpose, various methods have been proposed in literature. However, most of them suffer from: sensitivity to non-uniform illumination distribution, existence of shade in license plate, license plate color and the need for receiving an exact image of the license plate. Th...

Let X be a random variable taking values in a function space F, and let Y be a discrete random label with values 0 and 1. We investigate asymptotic properties of the moving window classification rule based on independent copies of the pair (X,Y ). Contrary to the finite dimensional case, it is shown that the moving window classifier is not universally consistent in the sense that its probabilit...