Applications of Cellular Automata
نویسنده
چکیده
The term cellular automata refers to a rather broad class of computational system. There are a number of common features, but the only universal property is that they are comprised of a number of discrete elements called cells. Each cell encapsulates some portion of the state of the system. Typically, the cell population is homogeneous, each one encapsulating an equal portion of the state, and arranged spatially in a regular fashion to form an n-dimensional lattice as shown in figure 1.
منابع مشابه
Novel Phase-frequency Detector based on Quantum-dot Cellular Automata Nanotechnology
The electronic industry has grown vastly in recent years, and researchers are trying to minimize circuits delay, occupied area and power consumption as much as possible. In this regard, many technologies have been introduced. Quantum Cellular Automata (QCA) is one of the schemes to design nano-scale digital electronic circuits. This technology has high speed and low power consumption, and occup...
متن کاملA Novel Approach for Detecting Relationships in Social Networks Using Cellular Automata Based Graph Coloring
All the social networks can be modeled as a graph, where each roles as vertex and each relationroles as an edge. The graph can be show as G = [V;E], where V is the set of vertices and E is theset of edges. All social networks can be segmented to K groups, where there are members in eachgroup with same features. In each group each person knows other individuals and is in touch ...
متن کاملEdge Detection Based On Nearest Neighbor Linear Cellular Automata Rules and Fuzzy Rule Based System
Edge Detection is an important task for sharpening the boundary of images to detect the region of interest. This paper applies a linear cellular automata rules and a Mamdani Fuzzy inference model for edge detection in both monochromatic and the RGB images. In the uniform cellular automata a transition matrix has been developed for edge detection. The Results have been compared to the ...
متن کاملImproved Frog Leaping Algorithm Using Cellular Learning Automata
In this paper, a new algorithm which is the result of the combination of cellular learning automata and frog leap algorithm (SFLA) is proposed for optimization in continuous, static environments.At the proposed algorithm, each memeplex of frogs is placed in a cell of cellular learning automata. Learning automata in each cell acts as the brain of memeplex, and will determine the strategy of moti...
متن کاملUltra-Low Cost Full Adder Cell Using the nonlinear effect in Four-Input Quantum Dot Cellular Automata Majority Gate
In this article, a new approach for the efficient design of quantum-dot cellular automata (QCA) circuits is introduced. The main advantages of the proposed idea are the reduced number of QCA cells as well as increased speed, reduced power dissipation and improved cell area. In many cases, one needs to double the effect of a particular inter median signal. State-of-the-art designs utilize a kind...
متن کاملDesign of low power random number generators for quantum-dot cellular automata
Quantum-dot cellular automata (QCA) are a promising nanotechnology to implement digital circuits at the nanoscale. Devices based on QCA have the advantages of faster speed, lower power consumption, and greatly reduced sizes. In this paper, we are presented the circuits, which generate random numbers in QCA. Random numbers have many uses in science, art, statistics, cryptography, gaming, gambli...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2010