We address the problem of timing-based localization in wireless networks, when an unknown fraction data is corrupted by nonideal signal conditions. While techniques enable accurate localization, they are also sensitive to such data. develop a robust method that applicable range techniques, including time-of-arrival, time-difference-of-arrival and time-difference schedule-based transmissions. Th...

The economic costs of white-collar crimes, such as corruption, bribery, embezzlement, abuse authority, and fraud, are substantial. How to eradicate them is a mounting task in many countries. Using police archives, we apply machine learning algorithms predict corruption crimes Italian municipalities. Drawing on input data from 2011, our classification trees correctly forecast over 70 % (about 80...

This paper considers a new method for reconstructing deliberately-corrupted pixels in raster images. Firstly, a faster approach for reconstructing corrupted pixels is proposed by applying a processing-circle instead of a processing-square. It is shown that the obtained quality of the reconstructed image is no worse because of this. The quality of the reconstruction is further improved by contro...

A virtual plague is a process in which a behavior-affecting property spreads among characters in a Massively Multiplayer Online Game (MMOG). The MMOG individuals constitute a synthetic population, and the game can be seen as a form of interactive executable model for studying disease spread, albeit of a very special kind. To a game developer maintaining an MMOG, recognizing, monitoring, and ult...

Asymmetric Trimmed Median Filter for Image denoising is proposed in this paper. This technique can be used for restoring the images extremely corrupted with random valued impulse noise. This paper introduces an impulse detection technique and decision based median filter for restoring the corrupted images. The detection technique is used for discriminating between corrupted and uncorrupted imag...

Impulsive noise removal usually employs median filtering, switching median filtering, the total variation L1 method, and variants. These approaches however often introduce excessive smoothing and can result in extensive visual feature blurring and thus are suitable only for images with low density noise. A new method to remove noise is proposed in this paper to overcome this limitation, which d...