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Academic literature on the topic 'Dissipative cellular automata'

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Published: 9 March 2023
Last updated: 10 March 2023

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Journal articles on the topic "Dissipative cellular automata"

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Ladd, Anthony J. C., and Daan Frenkel. "Dissipative hydrodynamic interactions via lattice‐gas cellular automata." Physics of Fluids A: Fluid Dynamics 2, no. 11 (November 1990): 1921–24. http://dx.doi.org/10.1063/1.857667.

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Ohta, Jun, and Ikuo Matsuba. "Analysis of earthquakes based on a dissipative cellular-automata model." Electronics and Communications in Japan (Part III: Fundamental Electronic Science) 82, no. 2 (February 1999): 20–27. http://dx.doi.org/10.1002/(sici)1520-6440(199902)82:2<20::aid-ecjc3>3.0.co;2-s.

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Gunji, Yukio-Pegio, and Daisuke Uragami. "Computational Power of Asynchronously Tuned Automata Enhancing the Unfolded Edge of Chaos." Entropy 23, no. 11 (October 20, 2021): 1376. http://dx.doi.org/10.3390/e23111376.

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Asynchronously tuned elementary cellular automata (AT-ECA) are described with respect to the relationship between active and passive updating, and that spells out the relationship between synchronous and asynchronous updating. Mutual tuning between synchronous and asynchronous updating can be interpreted as the model for dissipative structure, and that can reveal the critical property in the phase transition from order to chaos. Since asynchronous tuning easily makes behavior at the edge of chaos, the property of AT-ECA is called the unfolded edge of chaos. The computational power of AT-ECA is evaluated by the quantitative measure of computational universality and efficiency. It shows that the computational efficiency of AT-ECA is much higher than that of synchronous ECA and asynchronous ECA.
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Wessling, B. "Cellular Automata Simulation of Dissipative Structure Formation in Heterogeneous Polymer Systems, Formation of Networks of a Dispersed Phase by Flocculation." Journal de Physique II 6, no. 3 (March 1996): 395–404. http://dx.doi.org/10.1051/jp2:1996184.

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Imai, Katsunobu, Takahiro Hori, and Kenichi Morita. "Self-Reproduction in Three-Dimensional Reversible Cellular Space." Artificial Life 8, no. 2 (April 2002): 155–74. http://dx.doi.org/10.1162/106454602320184220.

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Due to inevitable power dissipation, it is said that nano-scaled computing devices should perform their computing processes in a reversible manner. This will be a large problem in constructing three-dimensional nano-scaled functional objects. Reversible cellular automata (RCA) are used for modeling physical phenomena such as power dissipation, by studying the dissipation of garbage signals. We construct a three-dimensional self-inspective self-reproducing reversible cellular automaton by extending the two-dimensional version SR8. It can self-reproduce various patterns in three-dimensional reversible cellular space without dissipating garbage signals.
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Chua, Leon O. "CNN: A Vision of Complexity." International Journal of Bifurcation and Chaos 07, no. 10 (October 1997): 2219–425. http://dx.doi.org/10.1142/s0218127497001618.

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CNN is an acronym for either Cellular Neural Network when used in the context of brain science, or Cellular Nonlinear Network when used in the context of coupled dynamical systems. A CNN is defined by two mathematical constructs: 1. A spatially discrete collection of continuous nonlinear dynamical systems called cells, where information can be encrypted into each cell via three independent variables called input, threshold, and initial state. 2. A coupling law relating one or more relevant variables of each cell Cij to all neighbor cells Ckl located within a prescribed sphere of influence Sij(r) of radius r, centered at Cij. In the special case where the CNN consists of a homogeneous array, and where its cells have no inputs, no thresholds, and no outputs, and where the sphere of influence extends only to the nearest neighbors (i.e. r = 1), the CNN reduces to the familiar concept of a nonlinear lattice. The bulk of this three-part exposition is devoted to the standard CNN equation [Formula: see text] where xij, yij, uij and zij are scalars called state, output, input, and threshold of cell Cij; akl and bkl are scalars called synaptic weights, and Sij(r) is the sphere of influence of radius r. In the special case where r = 1, a standard CNN is uniquely defined by a string of "19" real numbers (a uniform thresholdzkl = z, nine feedback synaptic weights akl, and nine control synaptic weights bkl) called a CNN gene because it completely determines the properties of the CNN. The universe of all CNN genes is called the CNN genome. Many applications from image processing, pattern recognition, and brain science can be easily implemented by a CNN "program" defined by a string of CNN genes called a CNN chromosome. The first new result presented in this exposition asserts that every Boolean function of the neighboring-cell inputs can be explicitly synthesized by a CNN chromosome. This general theorem implies that every cellular automata (with binary states) is a CNN chromosome. In particular, a constructive proof is given which shows that the game-of-life cellular automata can be realized by a CNN chromosome made of only three CNN genes. Consequently, this "game-of-life" CNN chromosome is a universal Turing machine, and is capable of self-replication in the Von Neumann sense [Berlekamp et al., 1982]. One of the new concepts presented in this exposition is that of a generalized cellular automata (GCA), which is outside the framework of classic cellular (Von Neumann) automata because it cannot be defined by local rules: It is simply defined by iterating a CNN gene, or chromosome, in a "CNN DO LOOP". This new class of generalized cellular automata includes not only global Boolean maps, but also continuum-state cellular automata where the initial state configuration and its iterates are real numbers, not just a finite number of states as in classical (von Neumann) cellular automata. Another new result reported in this exposition is the successful implementation of an analog input analog output CNN universal machine, called a CNN universal chip, on a single silicon chip. This chip is a complete dynamic array stored-program computer where a CNN chromosome (i.e. a CNN algorithm or flow chart) can be programmed and executed on the chip at an extremely high speed of 1 Tera (1012) analog instructions per second (based on a 100 × 100 chip). The CNN universal chip is based entirely on nonlinear dynamics and therefore differs from a digital computer in its fundamental operating principles. Part II of this exposition is devoted to the important subclass of autonomous CNNs where the cells have no inputs. This class of CNNs can exhibit a great variety of complex phenomena, including pattern formation, Turing patterns, knots, auto waves, spiral waves, scroll waves, and spatiotemporal chaos. It provides a unified paradigm for complexity, as well as an alternative paradigm for simulating nonlinear partial differential equations (PDE's). In this context, rather than regarding the autonomous CNN as an approximation of nonlinear PDE's, we advocate the more provocative point of view that nonlinear PDE's are merely idealizations of CNNs, because while nonlinear PDE's can be regarded as a limiting form of autonomous CNNs, only a small class of CNNs has a limiting PDE representation. Part III of this exposition is rather short but no less significant. It contains in fact the potentially most important original results of this exposition. In particular, it asserts that all of the phenomena described in the complexity literature under various names and headings (e.g. synergetics, dissipative structures, self-organization, cooperative and competitive phenomena, far-from-thermodynamic equilibrium phenomena, edge of chaos, etc.) are merely qualitative manifestations of a more fundamental and quantitative principle called the local activity dogma. It is quantitative in the sense that it not only has a precise definition but can also be explicitly tested by computing whether a certain explicitly defined expression derived from the CNN paradigm can assume a negative value or not. Stated in words, the local activity dogma asserts that in order for a system or model to exhibit any form of complexity, such as those cited above, the associated CNN parameters must be chosen so that either the cells or their couplings are locally active.
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Feng, Tianjun, Keyi Liu, and Chunyan Liang. "An Improved Cellular Automata Traffic Flow Model Considering Driving Styles." Sustainability 15, no. 2 (January 4, 2023): 952. http://dx.doi.org/10.3390/su15020952.

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An improved cellular automata model (CA model) considering driving styles is proposed to analyze traffic flow characteristics and study traffic congestion’s dissipation mechanism. The data were taken from a particular case in the Next Generation Simulation (NGSIM) program, which selected US-101 as the survey location from 7:50 a.m.–8:05 a.m. to investigate vehicle trajectory information. Different driving styles and the differences in vehicle parameters (speed, acceleration, deceleration, etc.) were obtained using principal component analysis and the k-means clustering method. The selected model was proposed for improvement based on analyzing the existing CA models and combining them with the actual road conditions. Considerations of driving styles and two operation mechanisms (over-acceleration and speed adaptation) were introduced in the improved model. The result obtained after the traffic simulation shows that the improved CA model is effective, and the mutual transformation of different traffic flow phases can be simulated. In the improved CA model, dissipating traffic congestion effectively and balancing the overall flow of the road are realized to improve the traffic capacity up to around 115% compared to the NaSch model and meet the demand of all kinds of drivers expecting to drive at the safest distance, which provides a theoretical basis for relieving traffic congestion. The various driving styles in terms of safety, comfort, and effectiveness are performed differently in the improved CA model. An aggressive driving style contributes to increasing traffic capacity up to around 181% compared to a calm driving style, while the calm style contributes to maintaining traffic flow stability.
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Timler, John, and Craig S. Lent. "Power gain and dissipation in quantum-dot cellular automata." Journal of Applied Physics 91, no. 2 (January 15, 2002): 823–31. http://dx.doi.org/10.1063/1.1421217.

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Rahimi, Ehsan. "Energy dissipation of quantum‐dot cellular automata logic gates." Micro & Nano Letters 11, no. 7 (July 2016): 369–71. http://dx.doi.org/10.1049/mnl.2015.0535.

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Ghasemi Farbod, Adeleh, and Ehsan Rahimi. "Non‐adiabatic energy dissipation of quantum cellular automata logic devices." IET Circuits, Devices & Systems 14, no. 5 (July 10, 2020): 623–28. http://dx.doi.org/10.1049/iet-cds.2019.0301.

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Dissertations / Theses on the topic "Dissipative cellular automata"

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BONOMI, ANDREA. "Dissipative multilayered cellular automata facing adaptive lighting." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2010. http://hdl.handle.net/10281/7822.

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Cellular Automata have been primarily investigated as a theoretical model and as a method for simulation and modeling of complex system. CA are also an abstract and formal model of the cellular systems, a wide class of systems present in nature. h systems are composed of several cells acting with a certain degree of independence. The collective behavior is the result of the local interactions. The rationale of this work is to exploit this kind of self-organizing behavior present in biological systems to model, design and realize Distributed Control Systems. Adaptive Lighting is one of the paradigmatic examples of applications that cannot be always controlled in a comfortable way with a centralized control system
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陳德志 and Tak-chi Chan. "Using cellular automaton models to study dissipative and diffusive systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1996. http://hub.hku.hk/bib/B31212839.

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Chan, Tak-chi. "Using cellular automaton models to study dissipative and diffusive systems /." Hong Kong : University of Hong Kong, 1996. http://sunzi.lib.hku.hk/hkuto/record.jsp?B19671386.

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Srivastava, Saket. "Probabilistic modeling of quantum-dot cellular automata." [Tampa, Fla.] : University of South Florida, 2007. http://purl.fcla.edu/usf/dc/et/SFE0002399.

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Liu, Mo. "Robustness and power dissipation in quantum-dot cellular automata." 2006. http://etd.nd.edu/ETD-db/theses/available/etd-02212006-120033/.

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Book chapters on the topic "Dissipative cellular automata"

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Roli, Andrea, and Franco Zambonelli. "Emergence of Macro Spatial Structures in Dissipative Cellular Automata." In Lecture Notes in Computer Science, 144–55. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-45830-1_14.

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Ladd, Anthony J. C. "Dissipative and Fluctuating Hydrodynamic Interactions between Suspended Solid Particles via Lattice-Gas Cellular Automata." In Computer Simulation in Materials Science, 481–504. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-011-3546-7_26.

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Nasilowski, R. "An Arbitrary-Dimensional Cellular-Automaton Fluid Model with Simple Rules." In Dissipative Structures in Transport Processes and Combustion, 9–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-84230-6_2.

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Gudivada, A. Arunkumar, and Gnanou Florence Sudha. "Single-Precision Floating-Point Multiplier Design Using Quantum-Dot Cellular Automata with Power Dissipation Analysis." In Lecture Notes in Electrical Engineering, 103–16. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-5550-1_11.

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Bhat, Soha Maqbool, Suhaib Ahmed, and Vipan Kakkar. "Quantum Dot Cellular Automata-Based Design of 4 × 4 TKG Gate and Multiplier with Energy Dissipation Analysis." In Lecture Notes in Electrical Engineering, 809–25. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8892-8_61.

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Leonski, W., and A. Kowalewska-Kudaszyk. "Cellular Automata – a Tool for Disorder, Noise and Dissipation Investigations." In Cellular Automata - Simplicity Behind Complexity. InTech, 2011. http://dx.doi.org/10.5772/15710.

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Praveenkumar, Padmapriya, Santhiya Devi R., Amirtharajan Rengarajan, and John Bosco Balaguru Rayappan. "LFSR-Keyed MUX for Random Number Generation in Nano Communication Using QCA." In Quantum Cryptography and the Future of Cyber Security, 70–83. IGI Global, 2020. http://dx.doi.org/10.4018/978-1-7998-2253-0.ch004.

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Nano industries have been successful trendsetters for the past 30 years, in escalating the speed and dropping the power necessities of nanoelectronic devices. According to Moore's law and the assessment created by the international technology roadmap for semiconductors, beyond 2020, there will be considerable restrictions in manufacturing IC's based on CMOS technologies. As a result, the next prototype to get over these effects is quantum-dot cellular automata (QCA). In this chapter, an efficient quantum cellular automata (QCA) based random number generator (RNG) is proposed. QCA is an innovative technology in the nano regime which guarantees large device density, less power dissipation, and minimal size as compared to the various CMOS technologies. With the aim to maximise the randomness in the proposed nano communication, a linear feedback shift register (LFSR) keyed multiplexer with ring oscillators is developed. The developed RNG is simulated using a quantum cellular automata (QCA) simulator tool.
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Gassoumi, Ismail, Lamjed Touil, and Abdellatif Mtibaa. "A Novel Three-Input XOR Gate Based on Quantum Dot-Cellular Automata with Power Dissipation Analysis." In Quantum Computing and Communications. IntechOpen, 2022. http://dx.doi.org/10.5772/intechopen.95554.

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Recently, Low power and reduced heat dissipation are an increasing demand for digital systems. Quantum Dot Cellular Automata (QCA) is a future generation solution based on nanotechnology for the digital systems. The QCA systems have advantages like the small size, ultralow power consumption and high switching frequency. The present research aims at introducing a novel three-input XOR gate containing 12 cells. The energy dissipation analysis of the proposed gate is verified using three different energy levels (γ=0.5Ek,γ=1.0,Ek andγ=1.5Εκ) at T = 2 Kelvin temperature. Simulation is performed for the proposed gate using QCA Designer tool version 2.0.3. The proposed three-input XOR gate has less number of cells, area and energy dissipation as compared to the previous structures.
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Conference papers on the topic "Dissipative cellular automata"

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Mamei, M., A. Roli, and F. Zambonelli. "Dissipative cellular automata as minimalist distributed systems: a study on emergent behaviors." In Proceedings Eleventh Euromicro Conference on Parallel, Distributed and Network-Based Processing. IEEE, 2003. http://dx.doi.org/10.1109/empdp.2003.1183596.

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Moiseenko, D. D., V. E. Panin, P. V. Maksimov, S. V. Panin, and F. Berto. "Material fragmentation as dissipative process of micro rotation sequence formation: Hybrid model of excitable cellular automata." In INTERNATIONAL CONFERENCE ON PHYSICAL MESOMECHANICS OF MULTILEVEL SYSTEMS 2014. AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4898973.

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Marinack, Martin C., and C. Fred Higgs. "A Friction Inclusive Cellular Automata Approach for Modeling Kinetic and Transitional Granular Flows." In ASME/STLE 2011 International Joint Tribology Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/ijtc2011-61223.

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Granular flows continue to be a complex problem in nature and industrial sectors where solid particles exhibit solid, liquid, and gaseous behavior in a manner which is often unpredictable locally or globally. In tribology, they have also been proposed as lubricants because of their liquid-like behavior in sliding contacts, and due to their ability to carry loads and accommodate surface velocities. The present work attempts to model a granular Couette flow in an annular shear cell using a lattice-based cellular automata (CA) computational modeling approach. The CA framework has the flexibility to employ rule-based mathematics and/or first-principle physics to rapidly model physical processes. The model developed in this work incorporates dissipative effects due to friction between particles and boundaries, in addition to particle spin. This new model also includes a rigorous treatment of boundary-particle interactions. Additional work has been done to account for the transfer of momentum through particle chains, allowing for the modeling of transitional granular flows, which consist of both kinetic and contact flow regimes.
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Srivastava, S., S. Sarkar, and S. Bhanja. "Power Dissipation Bounds and Models for Quantum-dot Cellular Automata Circuits." In 2006 Sixth IEEE Conference on Nanotechnology. IEEE, 2006. http://dx.doi.org/10.1109/nano.2006.247655.

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Yang, Haifei, Yue Qi, Xiaoqian Li, and Jian Lu. "Study on Energy Dissipation of Mixed Traffic Flow Using Cellular Automata." In The Twelfth COTA International Conference of Transportation Professionals. Reston, VA: American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412442.075.

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Bonci, L., and M. Macucci. "Analysis of power dissipation in clocked Quantum Cellular Automaton circuits." In 2006 Proceedings of the 32nd European Solid-State Circuits Conference. IEEE, 2006. http://dx.doi.org/10.1109/esscir.2006.307530.

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Bonci, L., and M. Macucci. "Analysis of power dissipation in clocked Quantum Cellular Automaton circuits." In 2006 European Solid-State Device Research Conference. IEEE, 2006. http://dx.doi.org/10.1109/essder.2006.307637.

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M, Avinashkumar, Anuj Borkute, and Nilesh Goel. "Novel Multi-logic gates using Quantum Dot Cellular Automata with energy dissipation analysis." In 2020 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS). IEEE, 2020. http://dx.doi.org/10.1109/iemtronics51293.2020.9216348.

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Huang, Liangyu, and Yu Xue. "Study on the Initial Effects of Cellular Automaton Traffic Models from Energy Dissipation." In 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI). IEEE, 2010. http://dx.doi.org/10.1109/aici.2010.206.

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Reports on the topic "Dissipative cellular automata"

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Meisel, Lawrence V., and Mark A. Johnson. Fractal Scaling in Cellular Automata Simulations of Dissipative Dynamical Systems. Fort Belvoir, VA: Defense Technical Information Center, July 1996. http://dx.doi.org/10.21236/ada315392.

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