An Introduction to Second Quantization

Disguised Face Recognition by Using Local Phase Quantization and Singular Value Decomposition

Disguised face recognition is a major challenge in the field of face recognition which has been taken less attention. Therefore, in this paper a disguised face recognition algorithm based on Local Phase Quantization (LPQ) method and Singular Value Decomposition (SVD) is presented which deals with two main challenges. The first challenge is when an individual intentionally alters the appearance ...

A Comparison of H&E Staining and IHC Study in Quantization of Duodenal Intra-Epithelial Lymphocytes

Rajabiani A1, Aaliepour A2, Tavangar M3, Meysamie AP4 1. Assistant Professor, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 2. Resident, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 3. Associate Professor, Department of Pathology, Faculty of medicine, Tehran University of Medical Sciences 4. Assistant Professor, Depar...

Time-Mode Signal Quantization for Use in Sigma-Delta Modulators

The rapid scaling in modern CMOS technology has motivated the researchers to design new analog-to-digital converter (ADC) architectures that can properly work in lower supply voltage. An exchanging the data quantization procedure from the amplitude to the time domain, can be a promising alternative well adapt with the technology scaling. This paper is going to review the recent development in t...

The Thermodynamic Properties of Polarized Metallic Nanowire in the Presence of Magnetic Field

In this article, the second quantization method has been used to investigate some thermodynamic properties of spin-polarized metallic nanowire in the presence of magnetic field at zero temperature. We have been observed that in different magnetic field, the equilibrium energy of system increases as the density increases. The spin-polarization parameter corresponding to the equilibrium state of ...

Introduction to Second Quantization

Detection of perturbed quantization (PQ) steganography based on empirical matrix

Perturbed Quantization (PQ) steganography scheme is almost undetectable with the current steganalysis methods. We present a new steganalysis method for detection of this data hiding algorithm. We show that the PQ method distorts the dependencies of DCT coefficient values; especially changes much lower than significant bit planes. For steganalysis of PQ, we propose features extraction from the e...