Vectorization of images is a key concern uniting computer graphics and computer vision communities. In this paper we are presenting a novel idea for efficient, customizable vectorization of raster images, based on Catmull Rom spline fitting. The algorithm maintains a good balance between photo-realism and photo abstraction, and hence is applicable to applications with artistic concerns or appli...

The efficiency and security of most elliptic curve cryptosystems are based on multi exponentiation, such as the verification process in elliptic curve digital signature algorithm. Simultaneous methods are considered to be the most efficient for multi exponentiation. In this paper, we propose a method to construct an addition chain for simultaneous multi exponentiation, which has never been cons...

It is an important issue for the security of network that how to detect new intrusions attack. This paper investigates unsupervised intrusion detection method. A distance definition for mixed attributes, a simple method calculating cluster radius threshold, a outlier factor measured deviating degree of a cluster, and a novel intrusion detection method are proposed in this paper. The experimenta...

Smith, Robert J. M.S.E., Purdue University, May 2012. Novel Quadrature Modulator Balancing Method. Major Professor: Abdullah Eroglu. Quadrature modulators are ubiquitous in modern communication systems due to the flexibility they provide. By simply generating an in-phase and quadrature-phase signal, nearly any type of modulated waveform can be created with a quad modulator. Although these devic...

in the past decades, many methods have been developed to synthesize zero- dimensional  nanoparticles, quasi–one–dimensional (1d) cuo nanostructures, such as metal organic deposition technique,  microwave irradiation, sol-gel-like dip  technique, reverse micelle-assisted route, chemical method, and simple template free solution route. among those synthesis methods, hydrothermal and chemical reac...

a novel neuro-based method is introduced to solve the laminar boundary layer and the turbulent free jet equations. the proposed method is based on cellular neural networks, cnns, which are recently applied widely to solve partial differential equations. the effectiveness of the method is illustrated through some examples.

identification based on faces is still a useful method for many applications and face recognition developing is an active research field. in this paper, a novel face identification method is proposed. the proposed method (bridle path on gabor phase (bpgp)) is based on extracting texture patterns from phases of the gabor wavelet. also, in order to describe the textures, a novel texture descripto...