منابع مشابه
Nanostructured plasmonic sensors.
Surface plasmons (SPs) are coherent oscillations of conduction electrons on a metal surface excited by electromagnetic radiation at a metal-dielectric interface. The growing field of research on such light-metal interactions is known as ‘plasmonics’.1-3 This branch of research has attracted much attention due to its potential applications in miniaturized optical devices, sensors, and photonic c...
متن کاملCellular Automata: Elementary Cellular Automata
Cellular automata (CA) are discrete dynamical systems consist of a regular finite grid of cell; each cell encapsulating an equal portion of the state, and arranged spatially in a regular fashion to form an n-dimensional lattice. A cellular automata is like computers, data represented by initial configurations which is processed by time evolution to produce output. This paper is an empirical stu...
متن کاملExploring and Exploiting Quantum-Dot Cellular Automata
The Full Adders (FAs) constitute the essential elements of digital systems, in a sense that they affect the circuit parameters of such systems. With respect to the MOSFET restrictions, its replacement by new devices and technologies is inevitable. QCA is one of the accomplishments in nanotechnology nominated as the candidate for MOSFET replacement. In this article 4 new layouts are presente...
متن کاملNonlinear Tamm states in nanostructured plasmonic metamaterials
Ivan V. Iorsh,1,2 Pavel A. Belov,1,3 Alexander A. Zharov,4 Ilya V. Shadrivov,1,5 and Yuri S. Kivshar1,5 1National Research University of Information Technologies, Mechanics and Optics (ITMO), St. Petersburg 197101, Russia 2Department of Physics, Durham University, DH1 3LE, Durham, United Kingdom 3Electronic Engineering, Queen Mary University of London, Mile End Road, London E1 4NS, United Kingd...
متن کاملCellular Edge Detection: Combining Cellular Automata and Cellular Learning Automata
In this paper, we propose a Cellular Edge Detection (CED) algorithm which utilizes Cellular Automata (CA) and Cellular Learning Automata (CLA). The CED algorithm is an adaptive, intelligent and learnable algorithm for edge detection of binary and grayscale images. Here, we introduce a new CA local rule with adaptive neighborhood type to produce the edge map of image as opposed to CA with fixed ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: EPJ Web of Conferences
سال: 2017
ISSN: 2100-014X
DOI: 10.1051/epjconf/201713900001