A possible nanometer-scale computing device based on an adding cellular automaton

Benjamin, Simon C.; Johnson, Neil

doi:10.1063/1.118851

Cited by 47 publications

(24 citation statements)

References 7 publications

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“…References [4,6,8,9] provide a general background in the use of cellular automata in modeling, as well as a number of examples. Specific exemplary cases of applications are found in [10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,…”

Section: Bibliographymentioning

confidence: 99%

“…Among other things, cellular automata have been used to model growth and aggregation processes [9,10,11,12]; discrete reaction-diffusion systems [13,14,15,16,17]; spin exchange systems [18,19]; biological pattern formation [20,21]; disease processes and transmission [22,23,24,25,26]; DNA sequences, and gene interactions [27,28]; spiral galaxies [29]; social interaction networks [30]; and forest fires [31,32]. They have been used for language and pattern recognition [33,34,35,36,37,38,39]; image processing [40,41]; as parallel computers [42,43,44,45,46,47]; parallel multipliers [48]; sorters [49]; and prime number sieves [50]. In recent years, cellular automata have become important for VLSI logic circuit design [51].…”

Section: Introductionmentioning

confidence: 99%

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Additive Cellular Automata

Voorhees¹

2012

Computational Complexity

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Section: Bibliographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Additive Cellular Automata

Voorhees¹

2012

Computational Complexity

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“…Depending on the electron's location, QCA cell has two form of polarization, binary 1 or P = +1.00 and binary 0 or P = -1.00 [17] shown in figure 1. QCA offer an innovative distinct option for the transistor paradigm [20,21]. The cell polarization defined as follows:…”

Section: Qca Basicmentioning

confidence: 99%

A Review on Reversible Logic Gates and its QCA Implementation

Abdullah-Al-Shafi¹,

Islam²,

Bahar³

2015

IJCA

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Quantum Dot Cellular Automata (QCA) is a rising innovation which seems to be a good competitor for the next generation of digital systems and widely utilized as a part of advanced frameworks. It is an appealing substitute to ordinary CMOS innovation because of diminutive size, faster speed, extremely scalable feature, ultralow power consumption and better switching frequency. The realization of quantum computation is not possible without reversible logic. Reversible logic has enlarged operations in quantum computation. Generally reversible computing is executed when system composes of reversible gates. It has numerous fields of use as applied science, quantum dot cellular automata as well as low power VLSI circuits, low power CMOS, digital signal processing, computer graphics. In this paper, the quantum implementation of primitive reversible gate has been presented. The proposed gates have been designed and simulated using QCADesigner.

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“…It has been applied in developing games (Nowak and May 1993), parallel computing and nanometer-scale classical computing (Benjamin and Johnson 1997), modeling physical and biological systems in nature (Toffoli 1984), social sciences (Albin 1975), and music (Burraston et al 2004). In the context of civil engineering, CA has been successfully implemented in structure analysis and design (Missoum et al 2005), traffic modeling and control (Gershenson and Rosenblueth 2011;Smith et al 1995), water distribution systems (Keedwell and Khu 2006), and environmental and urban planning models (Li and Yeh 2000).…”

Section: Introductionmentioning

confidence: 99%

Cell-based construction site simulation model for earthmoving operations using real-time equipment location data

Pradhananga

Teizer²

2015

Vis. in Eng.

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Background: Simulation is a proven technique for effective construction site layout planning and heavy equipment resource optimization. Traditional simulation uses historical data as input for task durations. Data is fed into activity cycle diagrams which many times do not consider any of the rapidly changing spatial constraints that are present on a construction site. Very little research has been conducted towards more realistic, real-time simulation involving data gathering from live actors and documenting the effect of potential changes to such a spatial-temporal work environment. Methods: Cell-based simulation, incorporating continuous spatial changes to the site layout during project operations and real-time Global Positioning System (GPS) location tracking data from equipment resources, is introduced for more realistic and rapid modeling. The potential of analyzing and visualizing the effects of spatial consideration of varying resource combinations in earthmoving cycles on productivity and site congestion are explored. It provides insight and awareness in decision making for resource management, site layout and internal traffic control planning. Results: The proposed cell-based simulation system handles complex and more realistic scenarios. Various cell parameters were tested in a case study of common earthmoving operations. The advantages of the cell-based over a traditional simulation model include ease of visualization and simplicity in modeling spatial constraints (e.g., ramp restricting traffic to one-way flow). The system provides full control over the flow of resources by using predefined rules or algorithms. It simplifies the design process since, except for some certain key cells, other ordinary cells followed the same rules without being programmed individually. Future research may involve multiple, non-interacting crews competing for resources and study of time-space conflicts in more detail. Conclusions: The presented cell-based simulation system is able to model and visualize the cyclic activities of earthmoving equipment that occur on a construction site in greater detail than previous simulation methods have done. Using near real-time location data from equipment as input value in the simulation helps construction site project engineers, planners, and managers to improve coordination and monitoring of such construction resources.

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A possible nanometer-scale computing device based on an adding cellular automaton

Cited by 47 publications

References 7 publications

Additive Cellular Automata

Additive Cellular Automata

A Review on Reversible Logic Gates and its QCA Implementation

Cell-based construction site simulation model for earthmoving operations using real-time equipment location data

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