Electron elastic total cross sections (TCSs) and differential cross sections (DCSs) in both impact energy and scattering angle for the excited Au and Pt atoms are calculated in the electron impact energy range 0⩽E⩽4.0eV. The cross sections are found to be characterized by very sharp long-lived resonances whose positions are identified with the binding energies of the excited anions formed during the collisions. The recent novel Regge-pole methodology wherein is embedded through the Mulholland formula the electron–electron correlations is used together with a Thomas–Fermi type potential incorporating the crucial core-polarization interaction for the calculations of the TCSs. The DCSs are evaluated using a partial wave expansion. The Ramsauer–Townsend minima, the shape resonances and the binding energies of the excited Au− and Pt− anions are extracted from the cross sections, while the critical minima are determined from the DCSs.

Submitted for the SES09 Meeting of The American Physical Society Electron Attachment in Low-Energy Electron Elastic Collisions with Au and Pt Atoms: Identification of Excited Anions A.Z. MSEZANE, Clark Atlanta University, A. EURE, Winston-Salem State University, Z. FELFLI, Clark Atlanta University, D. SOKOLOVSKI, Queen’s University of Belfast, UK — The recent Regge-pole methodology has been benchmarked [1] on the accurately measured binding energies of the excited Ge ̄ and Sn ̄ anions [2] through the binding energies (BEs) extracted from the Regge-pole calculated elastic total cross sections (TCSs). Here the methodology is applied together with a Thomas-Fermi type potential that incorporates the vital core polarization interaction to investigate the possibility of forming excited Au ̄ and Pt ̄ anions in low-energy electron elastic collisions with Au and Pt atoms. From the positions of the characteristic extremely narrow resonances in the total cross sections, we extract the binding energies of the excited Au ̄ and Pt ̄ anions formed as Regge resonances during the collisions. The angular life of the complexes thus formed is used to differentiate the stable excited bound states of the anions from the shape resonances [3]. The BEs for the excited Au ̄ and Pt ̄ anions are found to be 0.475eVand 0.543eV, respectively, challenging both theory and experiment to verify. [1] A. Msezane et al, Phys. Rev. A, Submitted (2009) [2] M. Scheer et al, Phys. Rev. A 58, 2844 (1998) [3] Z. Felfli et al, Phys. Rev. A 79, 012714 (2009) Z. Felfli Clark Atlanta University Date submitted: 18 Aug 2009 Electronic form version 1.4

In an increasingly digital society, the demand for secure identification has led to increased development of biometric systems. These biometric systems are becoming widely adopted and accepted as one of the most effective ways to positively identify people. We discuss the history, purpose, and nature of both physiological and behavioral biometric systems and how they are classified. Some common biometric systems include fingerprinting, signatures, and face recognition. However, iris recognition is the most reliable of the biometric systems used today, in many respects. In this project, we examined the properties and implementation of iris recognition biometric systems. A general iris recognition system consists of five parts: 1) image acquisition, In which a picture of the eye is acquired. 2) Segmentation, which locates the borders of the iris in the image. 3) Normalization, which maps the circular iris to a rectangular image. 4) Feature encoding, which creates a biometric template. 5) Matching, which is the process of comparing templates. The mathematics of each of these parts is described in detail and several implementations of these methods are mentioned. It is important to note that one particular algorithm for e.g. feature encoding is not superior to another, as different algorithms can be customized for a particular application area. Specifically, we examine such differences by applying an open-source MATLAB package for iris recognition to the iris image database maintained by the Chinese Academy of Sciences.

This investigation seeks to find a relation between the frequencies of forest fires with acreage burned in the state of Kentucky and the factors of global warming. Under global warming, we focus on the components climate change and precipitation rate in hopes of establishing this relationship. In delving deeper into the effects of forest fires, or wildfires, we explore a mathematical model offered as a solution to optimally contain these disasters while minimizing the costs of resources and eventually recovery.