Skip to main content
Disciplines
Automotive
Business IT + Informatics
Construction + Real Estate
Electrical Engineering + Electronics
Energy + Sustainability
Insurance + Risk
Finance + Banking
Management + Leadership
Marketing + Sales
Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Start single access now
Request access for companies
EXTENDED SEARCH
Log in
Top

Hint

Swipe to navigate through the chapters of this book

Published in:
The Skin of a Building Read chapter Read first chapter

2017 | OriginalPaper | Chapter

2. Cellular Automaton-Based Shading System (CASS)

Author : Machi Zawidzki

Published in: Discrete Optimization in Architecture

Publisher: Springer Singapore

Login to get access

Abstract

This chapter collects the findings of the research on the cellular automaton-based shading systems (CASS) for building envelopes. CASS is based on congruent modular units, thus it has the potential of being inexpensive and robust. Two approaches for the realization of CASS are presented: based on the liquid crystal technology, and based on the rotation of polarized film elements. Several optimization methods of CASS are presented. The optimization criteria include: the “grayness” monotonicity, and cellular automaton (CA) pattern distribution error which represent: the level of control over the CA pattern, and its uniformity over entire array of cells, respectively. The robustness of CASS for various types of failure is discussed.

To get access to this content you need the following product:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe



 


Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt 90 Tage mit der neuen Mini-Lizenz testen!

inform now
previous chapter The Skin of a Building
next chapter Polarized Film Shading System in Regular Grids (PFSS)
Literature
1.
Alonso-Sanz R, Martín M (2006) A structurally dynamic cellular automaton with memory in the hexagonal tessellation. In: Cellular automata. Springer, Heidelberg, pp 30–40
2.
Baas NA, Torbjorn H (2005) Higher order cellular automata. Adv Complex Syst 8(2–3):169–192
3.
Bandini S, Bonomi A, Vizzari G, Acconci V (2010) A cellular automata-based modular lighting system. In: Cellular automata. Springer, Heidelberg, pp 334–344
4.
5.
6.
Bays C (2012) Cellular automata in triangular, pentagonal and hexagonal tessellations. In: Complexity C (ed) Meyers RA. Springer, New York, pp 434–442
7.
8.
Brender RF (1970) A programming system for the simulation of cellular spaces. Technical report, DTIC document
9.
10.
Darabos C, Giacobini M, Tomassini M (2007) Performance and robustness of cellular automata computation on irregular networks. Adv Complex Syst 10(supp01):85–110 CrossRefMATH
11.
Das R (1998) The evolution of emergent computation in cellular automata. Colorado State University
12.
Das R, Mitchell M, Crutchfield J (1994) A genetic algorithm discovers particle based computation in cellular automata. In: Davidor Y (ed) Parallel problem solving from nature PPSN III, Lecture Notes in Computer Science, vol 866. Springer, Heidelberg, pp 244–353
13.
El Yacoubi S, Jacewicz P (2007) A genetic programming approach to structural identification of cellular automata. J Cell Automata 2:67–76 MathSciNetMATH
14.
Faraco G, Pantano P, Servidio R (2006) The use of cellular automata in the learning of emergence. Comput Educ 47(3):280–297 CrossRef
15.
Garzon M (1995) Models of massive parallelism: analysis of cellular automata and neural networks., European association for theoretical computer scienceSpringer, Heidelberg CrossRefMATH
16.
Grefenstette J, Gopal R, Rosimaita B, Gucht D (1985) Genetic algorithms for the traveling salesman problem. Proceedings of the 1st international conference on genetic algorithms and their applications. Psychology Press, Pittsburgh, pp 160–168
17.
Gruber P (2010) Biomimetics in architecture. Springer, Wien
18.
Hanson JE (2009) Cellular automata, emergent phenomena. In: Meyers RA (ed) Encyclopedia of complexity and systems science. Springer, Heidelberg, pp 768–778
19.
Imai K, Morita K (2000) A computation-universal two-dimensional 8-state triangular reversible cellular automaton. Theoret Comput Sci 231(2):181–191 MathSciNetCrossRefMATH
20.
21.
Kepler J (1938) Harmonice mundi (linz, 1619). English edition: Harmonies of the world, Book 5
22.
Kiester RA, Sahr K (2008) Planar and spherical hierarchical, multi-resolution cellular automata. Comput Environ Urban Syst 32:204–213 CrossRef
23.
Knuth D (1968) The art of computer programming 1: fundamental algorithms 2: seminumerical algorithms 3: sorting and searching
24.
Konopka AK (2006) Systems biology: principles, methods and concepts taylor and francis. Taylor and Francis, Boca Raton CrossRef
25.
26.
Lee K, Xu H, Chau H (2001) Parity problem with a cellular automaton solution. Phys Rev E 026702(64):1–4
27.
Morita K (2012) Reversible cellular automata. Handbook of natural computing. Springer, Heidelberg, pp 231–257 CrossRef
28.
de Oliveira P, Bortot J, Oliveira G (2006) The best currently known class of dynamically equivalent cellular automata rules for density classification. Neurocomputing 70(1–3):35–43 CrossRef
29.
30.
31.
Peters HM (1993) Functional organization of the spinning apparatus of Cyrtophora citricola with regard to the evolution of the web (Araneae, Araneidae). Zoomorphology 113(3):153–163 CrossRef
32.
Phillips C, Gans D, Kuz Z (2003) The organic approach to architecture. Academy Press, New York
33.
34.
Preston KJ, Duff MJ (1984) Modern Cellular Automata: theory and applications. Plenum Press, New York CrossRefMATH
35.
Preston Jr K (1961) The cellscan system-tm a leucocyte pattern analyzer. In: Western joint IRE-AIEE-ACM computer conference, ACM, pp 173–183, papers presented at the 9-11 May 1961
36.
Rechenberg I (1973) Evolutionsstrategie: optimierung technischer systeme nach prinzipien der biologischen evolution (in German). Ph.D. thesis, stuttgart
37.
Rocha M, Vilela C, Neves J (2000) A study of order based genetic and evolutionary algorithms in combinatorial optimization problems. Intelligent problem solving., Methodologies and approachesSpringer, Heidelberg, pp 601–611
38.
Shalizi CR, Haslinger R, Rouquier JB, Klinkner KL, Moore C (2006) Automatic filters for the detection of coherent structure in spatiotemporal systems. Phys Rev E 73(3):036–104 MathSciNetCrossRef
39.
Steiglitz K, Kamal I, Watson A (1988) Embedding computation in one-dimensional automata by phase coding solitons. IEEE Trans Comput 37(2):138–145 MathSciNetCrossRef
40.
Terrazas G, Siepmann P, Krasnogor N (2008) An evolutionary methodology for the automated design of cellular automaton-based complex systems. J Cell Automata 2(1):77–102 MathSciNetMATH
41.
42.
Toffoli T, Margolus N (1987) Cellular automata machines: a new environment for modeling. MIT press, California MATH
43.
Trunfio GA (2004) Predicting wildfire spreading through a hexagonal cellular automata model. In: Cellular automata. Springer, Heidelberg, pp 385–394
44.
Turing AM (1936) On computable numbers, with an application to the entscheidungsproblem. J Math 58(345–363):5 MATH
45.
46.
Ventrella J (2011) Glider dynamics on the sphere: exploring cellular automata on geodesic grids. J Cell Automata 6(2–3):245–256
47.
Von Neumann J (1951) The general and logical theory of automata. Cerebral mechanisms in behavior, pp 1–41
48.
Wojtowicz M (2005) Exploring cellular automata with MCell. In: Artificial life models in software. Springer, Heidelberg, pp 233–261
49.
Wolz D, De Oliveira PP (2008) Very effective evolutionary techniques for searching cellular automata rule spaces. J Cell Automata 3(4):289–312 MathSciNetMATH
50.
Yu CH, Nagpal R (2010) A self-adaptive framework for modular robots in dynamic environment: theory and applications. Int J Rob Res p 0278364910384753
51.
52.
Zawidzki M (2009) Implementing cellular automata for dynamically shading a building facade. Complex Syst 18(3):287
53.
54.
Zawidzki M (2011) Application of semitotalistic 2d cellular automata on a triangulated 3d surface. Int J Des Nat Ecodyn 6(1):34–51 MathSciNetCrossRef
55.
56.
57.
Zawidzki M, Bator M (2012) Application of evolutionary algorithm for optimization of the sequence of initial conditions for the cellular automaton-based shading. Journal of Cellular Automata 7(5–6):363–384 MathSciNet
58.
Zawidzki M, Fujieda I (2010) The prototyping of a shading device controlled by a cellular automaton. Complex-Systems 19(2):157–175
59.
Zawidzki M, Nishinari K (2013) Shading for building facade with two-color one-dimensional range-two cellular automata on a square grid. Journal of Cellular Automata 8(3–4):147–163 MathSciNet
Metadata
Title
Cellular Automaton-Based Shading System (CASS)
Author
Machi Zawidzki
Copyright Year
2017
Publisher
Springer Singapore
Book
Discrete Optimization in Architecture

Print ISBN: 978-981-10-1390-4

Electronic ISBN: 978-981-10-1391-1

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-1391-1_2