Ear is a relatively new biometric among others. Many methods have been used for ear recognition to improve the performance of ear recognition systems. In continuation of these efforts, we propose a new ear recognition method based on curvelet transform. Features of the ear are computed by applying Fast Discrete Curvelet Transform via the wrapping technique. Feature vector of each image is composed of an approximate curvelet coefficient and second coarsest level curvelet coefficients at eight different angles. k-NN (k-nearest neighbour) is utilized as a classifier. The proposed method is experimented on two ear databases from IIT Delhi. Results achieved using the proposed method on publicly available ear database are up to 97.77% which show encouraging performance.

In this paper, the notion of m-preinvex and (α,m)-preinvex functions is introduced and then several inequalities of Hermite–Hadamard type for differentiable m-preinvex and (α,m)-preinvex functions are established

The increase in number of smokers in the 20th century leads for lung cancer being the number one killer among cancer related deaths world-wide with an over-all survival rate of only 15%. According to the latest World Health Organization report released on April 2011, Lung cancer is the number one killer among deaths related with cancer for men in Malaysia. In most cases there are no symptoms or warning signs in the early stages of lung cancer. It is often suspected initially from chest x-ray or Computed Tomography (CT) scans done to evaluate a cough or chest pain. Several research work have been aimed at development of Computer Aided Diagnosis (CAD) systems which enhance early detection of lung cancer nodules. This research work aims to develop a CAD system to detect pulmonary lung nodules from Low Dose CT (LDCT) scan images using template matching algorithm integrated with multi-resolution feature analysis technique in order to enhance the false positive detection rate. 134 out of 165 nodules were correctly detected by our scheme. That results in a detection rate of 81.212%.

We discuss the equilibrium solutions of four different types of collinear four-body problems having two pairs of equal masses. Two of these four-body models are symmetric about the center-of-mass while the other two are non-symmetric. We define two mass ratios as μ ₁ = m ₁/M _T and μ ₂ = m ₂/M _T, where m ₁ and m ₂ are the two unequal masses and M _T is the total mass of the system. We discuss the existence of continuous family of equilibrium solutions for all the four types of four-body problems.