Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	acadia08_238
id	acadia08_238
authors	Besserud, Keith; Joshua Cotten
year	2008
title	Architectural Genomics
doi	https://doi.org/10.52842/conf.acadia.2008.238
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 238-245
summary	This paper provides an introduction to the concept of genetic algorithms and a sampling of how they are being explored as an optimization strategy for some of the building projects in the BlackBox studio at Skidmore, Owings, and Merrill.
keywords	Algorithm; Environment; Evolution; Genetic; Simulation
series	ACADIA
last changed	2022/06/07 07:52

_id	ecaade2011_020
id	ecaade2011_020
authors	de la Barrera Poblete, Carlos Ignacio
year	2011
title	Evolutionary Strategy to Design Optimized Architecture
doi	https://doi.org/10.52842/conf.ecaade.2011.293
source	RESPECTING FRAGILE PLACES [29th eCAADe Conference Proceedings / ISBN 978-9-4912070-1-3], University of Ljubljana, Faculty of Architecture (Slovenia) 21-24 September 2011, pp.293-301
summary	The purpose of the present experiment consists in optimizing a building modifying its apertures (windows) and its geometry to reduce heating and air conditioning consumption. The optimization is performed using a Micro-Genetic Algorithm (Micro-GAs) programmed in C# embedded like a series of functions into GenerativeComponents (GC). EnergyPlus (E+) software is used to evaluate the HVAC consumption levels of the building. The aim of the optimization is to keep the temperature at 20ºC on the hottest and coldest day using the least possible energy (Jules). In conclusion, this article proposes a new technique based on parametric modelling, evaluation and evolutionary optimization to generate efficient buildings with HVAC consumptions.
wos	WOS:000335665500033
keywords	Optimization; Parametric design; Genetic Algorithms; Energy Consumption; Architecture
series	eCAADe
email
last changed	2022/05/01 23:21

_id	acadia08_316
id	acadia08_316
authors	Greenberg, Evan
year	2008
title	Observation, Analysis, and Computation of Branching Patterns in Natural Systems
doi	https://doi.org/10.52842/conf.acadia.2008.316
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 316-323
summary	Branching occurs in natural systems for functional reasons. However, the branching logic for each specific system is quite different due to environmental and mathematical factors. In the computation of branching systems, these mathematical factors can be incorporated quite easily into the coding of each system. However, it is the environmental components that must be given further consideration in the simulation of these natural systems. Through the engine of genetic algorithms based on evolutionary developmental theory, the specific logics observed and analyzed in branching patterns of river systems, trees, and insect tracheae can be simulated and optimized in a digital environment.
keywords	Algorithm; Branching; Emergence; Genetic; Simulation
series	ACADIA
last changed	2022/06/07 07:51

_id	9aa3
authors	Michalewicz, Z.
year	1994
title	Genetic Algorithms + Data Structures = Evolution Programs
source	Springer-Verlag, Berlin
summary	Genetic algorithms are founded upon the principle of evolution, i.e., survival of the fittest. Hence evolution programming techniques, based on genetic algorithms, are applicable to many hard optimization problems, such as optimization of functions with linear and nonlinear constraints, the traveling salesman problem, and problems of scheduling, partitioning, and control. The importance of these techniques is still growing, since evolution programs are parallel in nature, and parallelism is one of the most promising directions in computer science. The book is self-contained and the only prerequisite is basic undergraduate mathematics. This third edition has been substantially revised and extended by three new chapters and by additional appendices containing working material to cover recent developments and a change in the perception of evolutionary computation.
series	other
last changed	2003/04/23 15:14

_id	ddss9487
id	ddss9487
authors	Snijder, H.P.S.
year	1994
title	The Use of Genetic Algorithms in Spatial Optimisation Problems
source	Second Design and Decision Support Systems in Architecture & Urban Planning (Vaals, the Netherlands), August 15-19, 1994
summary	The manipulation of a set of associative data usually involves the search of a huge search-space (e.g. a set of 20 elements can be ordered in 20! ways, which is approximately equal to 2.4e+ 18). Rooms on a floor can be considered as a set of associative data. Optimising such a set according to some criterion (for example, minimising the distance between the related elements) can therefore be a daunting task. In order to assist in this task, a program (called ROP) has been developed, which graphically represents the relations in a matrix. The points in this matrix can be moved manually, thereby transforming the search process into a visual task. However, a considerable amount of skill remains required. In order to further alleviate the user in this task, ROP has been augmented with a Genetic Algorithm. A genetic algorithm is ideally suited to deal with very large search-spaces, and proved to be a valuable addition to ROP. In addition to employing the genetic algorithm for finding the optimal ordering, it can also be made to suggest several different orderings with approximately equal fitness, thereby providing elementary creativity support. The combination of ROP with a genetic algorithm provides a generic tool for the manipulation of all multivariate or associative data sets; in- as well as outside the design realm.
series	DDSS
last changed	2003/08/07 16:36

_id	acadia08_346
id	acadia08_346
authors	Von Buelow, Peter
year	2008
title	Breeding Topology: Special Considerations For Generative Topology Exploration Using Evolutionary Computation
doi	https://doi.org/10.52842/conf.acadia.2008.346
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 346-353
summary	Topology optimization of engineering structures has long been a topic of research scrutiny. Many methods have been successfully developed for the determination of continuum structures. Some of these techniques, for example the homogenous method, have also been adapted for use with discrete structural frames or trusses. Most commonly the topology optimization of truss structures is carried out with the aid of a ground structure, a simple raster that describes potential joint locations. Although this simplifies the computation, it greatly limits the range of potential solutions that fit the gridded raster. Additionally, when using Evolutionary Computation (EC) methods, the level of computational intensity increases exponentially with the size of the ground structure making anything above a very modest level of complexity impractical to process. ¶ This paper demonstrates several practical techniques that can be used with EC, and more specifically Genetic Algorithms, when applied to topology exploration of discrete structures. First a method of chromosome coding that avoids the use of ground structures is shown. Then specific genetic recombination techniques are illustrated that are well suited for breeding different topologies. The combined techniques are demonstrated in a topology design problem. The paper concludes with a discussion of advantages of EC over traditional optimization methods in the area of overall form design.
keywords	Algorithm; Evolution; Generative; Genetic; Topology
series	ACADIA
last changed	2022/06/07 07:58

_id	acadia08_066
id	acadia08_066
authors	Ahlquist, Sean; Moritz Fleischmann
year	2008
title	Material & Space: Synthesis Strategies based on Evolutionary Developmental Biology
doi	https://doi.org/10.52842/conf.acadia.2008.066
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 66-71
summary	A material system can be defined as a set of self-organized materials, defining a certain spatial arrangement. In architecture, this material arrangement acts as a threshold for space, though space often only appears as a by-product of the material organization. Treating space as a resulting, therefore secondary, independent product minimizes the capacity to generate architecture that is astutely aware of concerns of functionality, environment and energy. An effective arrangement of material can only be determined in relation to the spaces that it defines. When proposing a more critical approach, a material system can be seen as an intimate inter-connection and reciprocal exchange between the material construct and the spatial conditions. It is necessary to re-define material system as a system that coevolves spatial and material configurations through analysis of the resultant whole, in a process of integration and evaluation. ¶ With this understanding of material system comes an expansion in the number of criteria that are simultaneously engaged in the evolution of the design. The material characteristics, as well as the spatial components and forces (external and internal), are pressures onto the arrangement of material and space. ¶ This brings a high degree of complexity to the process. Biological systems are built on methods that resolve complex interactions through sets of simple yet extensible rules. Evolutionary Developmental Biology explains how growth is an interconnected process of external forces registering fitness into a fixed catalogue of morphological genetic tools. Translating the specific framework for biological growth into computational processes, allows the pursuit of an architecture that is fully informed by the interaction of space and material.
keywords	Biology; Computation; Material; Parametric; System
series	ACADIA
last changed	2022/06/07 07:54

_id	acadia18_136
id	acadia18_136
authors	Austern, Guy; Capeluto, Isaac Guedi; Grobman, Yasha Jacob
year	2018
title	Fabrication-Aware Design of Concrete Façade Panels. A Computational Method For Evaluating the Fabrication of Large- Scale Molds in Complex Geometries
doi	https://doi.org/10.52842/conf.acadia.2018.136
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 136-145
summary	This paper presents a design methodology for concrete façade panels that takes into consideration constraints related to digital fabrication machinery. A computational method for the real-time evaluation of industrial mold-making techniques, such as milling and hot wire cutting, was developed. The method rapidly evaluates the feasibility, material use, and machining time of complex geometry molds for architectural façade elements. Calculation speed is achieved by mathematically approximating CAM-machining operations. As results are obtained in nearly real time, the method can be easily incorporated into the architectural design process during its initial stages, when changes to the design are more effective. In the paper, we describe the algorithms of the computational evaluation method. We also show how it can be used to introduce fabrication considerations into the design process by using it to rationalize several types of panels. Additionally, we demonstrate how the method can be used in complex, large-scale architectural projects to save machining time and materials by evaluating and altering the paneling subdivision.
keywords	full paper, fabrication & robotics, digital fabrication, performance + simulation, geometry
series	ACADIA
type	paper
email
last changed	2022/06/07 07:54

_id	ecaade2024_298
id	ecaade2024_298
authors	Avellaneda Lopez, Omar Fabrisio; Christodoulou, Marilena; Mendoza, Marisela
year	2024
title	Parametric Design and Geometric Optimization for Deployable Domes Based on the icosahedron frequency with hexagonal modules
doi	https://doi.org/10.52842/conf.ecaade.2024.1.411
source	Kontovourkis, O, Phocas, MC and Wurzer, G (eds.), Data-Driven Intelligence - Proceedings of the 42nd Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2024), Nicosia, 11-13 September 2024, Volume 1, pp. 411–420
summary	The systems of deployable structures domes with straight bars are directly related to the geometry of solids. They are lightweight, modular, and transformable systems. This research relates to the design of deployable structures with articulated straight bars, with the purpose of being habitable and offering a solution to the light and traditional architecture. In particular, it refers to the design of deployable domes with articulated straight bars, starting from the transformation of the icosahedron using deployable hexagonal modules. With the possibility of changing its scale when increasing its frequency. In addition, has aims at a parametric design method for deployable domes or shells with straight bars of equal articulated dimension, stabilized with a flexible or rigid architectural covering. The process is defined as quick assembly. The optimization method employed is based on transforming the icosahedron and varying its frequencies. The process consists of optimizing deployable hexagonal modules with bars of equal length following geodesic patterns. Using visual programming algorithms using Rhinoceros + Grasshopper, geometric optimization results are achieved with deployable hexagonal modules applied to different dome frequencies. The system offers efficient solutions to temporary shelters, portable greenhouses, scenarios for medium and large-scale events, and everything related to light and transformable architecture.
keywords	Deployable Structures, Geometric Optimization, Parametric Design, Lightweight Structures
series	eCAADe
email
last changed	2024/11/17 22:05

_id	2045
authors	Balas, Egon
year	1982
title	A Class of Location, Distribution and Scheduling Problems : Modeling and Solution Methods
source	21 p., 8 + 4 p. of appendix : ill. Carnegie Mellon University, Pittsburgh, PA: Design Research Center, December, 1982. includes bibliography
summary	Discusses the potential of set covering techniques. Illustrates problem formulation techniques on several important classes of real-world problems. Also describes a class of algorithms for solving set covering problems, based on cutting planes, heuristics and subgradient optimization
keywords	problem solving, methods, algorithms, problem definition, modeling, optimization, operations research
series	CADline
last changed	1999/02/12 15:07

_id	e671
authors	Bentley, Jon L., Haken, Dorothea and Saxe, James B.
year	1978
title	A General Method for Solving Divide-and-Conquer Recurrences
source	10 p Carnegie Mellon University: December, 1978. includes bibliography.
summary	The complexity of divide-and-conquer algorithms is often described by recurrence relations of the form T(n) = kT(n/c) + f(n). The only method currently available for solving such recurrences consists of solution tables for fixed functions f and varying k and c. In this note the authors describe a unifying method for solving these recurrences that is both general in applicability and easy to apply without the use of large tables
keywords	recursion, algorithms, divide-and-conquer
series	CADline
last changed	2003/06/02 13:58

_id	acadia08_340
id	acadia08_340
authors	Chalmers, Chris
year	2008
title	Chemical Signaling as a Model for Digital Process in Architecture
doi	https://doi.org/10.52842/conf.acadia.2008.340
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 340-345
summary	The role of the architect is quite literally one of assembly: synthesizing the various parts of a project into a cohesive whole. It is a difficult job, often requiring the architect to weave many seemingly contradictory concerns into a solution that benefits them all. It is not surprising then, that the many elegant and effective systems found in nature should be inspiring to the architect. Emerging fields like biomimicry and systems dynamics model the patterns of interaction between organisms and their environments in terms of dynamic part to part and part to whole relationships. ¶ Observations of real relationships between organisms and their environments, as they exist in nature, reveal complex feedback loops working across multiple scales. These feedback loops operate by the simultaneous action of two observed phenomena. The first is the classic phenotypic relationship seen when organisms of the same genetic makeup instantiate differently based upon differences in their environment. This is the relationship that was originally proposed by Charles Darwin in his theory of natural selection of 1859. Darwin’s model is unidirectional: the organism adapts to its environment, but not the other way around. It operates at the local scale as individual parts react to the conditions of the whole. (Canguilhem, 1952). ¶ The second phenomenon, which sees its effect at the global scale, is the individual’s role as consumer and producer in the flows of energy and material that surround it. It is the subtle and incremental influence of the organism upon its environment, the results of which are often invisible until they reach a catastrophic threshold, at which point all organisms in the system feel global changes. ; The research presented in this paper addresses the dialectic between organism and environment as each responds reciprocally to the others’ changing state. Such feedback loops act in a non-linear fashion, across nested scales in biological systems. They can be modeled to act that way in a digital design process as well. This research is an exploration into one such model and its application to architecture: the simple communication between organisms as they affect and are affected by their environments through the use of signal chemicals.
keywords	Biology; Cellular Automata; Feedback; Material; Scripting
series	ACADIA
last changed	2022/06/07 07:55

_id	acadia16_206
id	acadia16_206
authors	Devadass, Pradeep; Dailami, Farid; Mollica, Zachary; Self, Martin
year	2016
title	Robotic Fabrication of Non-Standard Material
doi	https://doi.org/10.52842/conf.acadia.2016.x.g4f
source	ACADIA // 2016: POSTHUMAN FRONTIERS: Data, Designers, and Cognitive Machines [Proceedings of the 36th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-77095-5] Ann Arbor 27-29 October, 2016, pp
summary	This paper illustrates a fabrication methodology through which the inherent form of large non-linear timber components was exploited in the Wood Chip Barn project by the students of Design + Make at the Architectural Association’s Hooke Park campus. Twenty distinct Y-shaped forks are employed with minimal machining in the construction of a structural truss for the building. Through this workflow, low-value branched sections of trees are transformed into complex and valuable building components using non-standard technologies. Computational techniques, including parametric algorithms and robotic fabrication methods, were used for execution of the project. The paper addresses the various challenges encountered while processing irregular material, as well as limitations of the robotic tools. Custom algorithms, codes, and post-processors were developed and integrated with existing software packages to compensate for drawbacks of industrial and parametric platforms. The project demonstrates and proves a new methodology for working with complex, large geometries which still results in a low cost, time- and quality-efficient process.
keywords	parametric design, craft in digital communication, digital fabrication, sensate systems
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	acadia08_264
id	acadia08_264
authors	Feringa, Jelle
year	2008
title	Notes on the Potential of Simulation for Architectural Conception
doi	https://doi.org/10.52842/conf.acadia.2008.264
source	Silicon + Skin: Biological Processes and Computation, [Proceedings of the 28th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) / ISBN 978-0-9789463-4-0] Minneapolis 16-19 October 2008, 264-271
summary	With the projects described in this paper, EZCT has demonstrated a reversal of the tradtional role of simulation in architectural conception. Traditionally the role of simulation has been to see whether a design complies to its aims. In the projects described in this paper simulation is at the heart of architectural conception itself. Optimization facilitates the role of simulation as a tool that can be applied towards design.
keywords	Complexity; Computation; Evolution; Genetic; Simulation
series	ACADIA
last changed	2022/06/07 07:50

_id	e191
authors	Fuchs, Henry, Goldfeather, Jack and Hultquist, Jeff P.
year	1985
title	Fast Spheres, Shadows, Textures, Transparencies, and Image Enhancements in Pixel-Planes
source	SIGGRAPH '85 Conference Proceedings. July, 1985. 1985. vol. 19 ; no. 3: pp. 111-120 : ill. includes bibliography
summary	Pixel-planes is a logic-enhanced memory system for raster graphics and imaging. Although each pixel-memory is enhanced with a one-bit ALU, the system's real power comes from a tree of one-bit address that can evaluate linear expressions Ax + By + C for every pixel (x,y) simultaneously, as fast as the ALUs and the memory circuits can accept the results. The development of a variety of algorithms that exploit this fast linear expression evaluation capability has started. The paper reports some of those results. Illustrated in this paper is a sample image from a small working prototype of the Pixel- planes hardware and a variety of images from simulations of a full-scale system. Timing estimates indicate that 30,000 smooth shaded triangles can be generated per second, or 21, 000 smooth-shaded and shadowed triangles can be generated per second, or over 25,000 shaded spheres can be generated per second. Image-enhancement by adaptive histogram equalization can be performed within 4 seconds on a 512 x 512 image
keywords	shadowing, image processing, algorithms, polygons, clipping, computer graphics, technology, hardware
series	CADline
last changed	2003/06/02 10:24

_id	sigradi2006_e028c
id	sigradi2006_e028c
authors	Griffith, Kenfield; Sass, Larry and Michaud, Dennis
year	2006
title	A strategy for complex-curved building design:Design structure with Bi-lateral contouring as integrally connected ribs
source	SIGraDi 2006 - [Proceedings of the 10th Iberoamerican Congress of Digital Graphics] Santiago de Chile - Chile 21-23 November 2006, pp. 465-469
summary	Shapes in designs created by architects such as Gehry Partners (Shelden, 2002), Foster and Partners, and Kohn Peterson and Fox rely on computational processes for rationalizing complex geometry for building construction. Rationalization is the reduction of a complete geometric shape into discrete components. Unfortunately, for many architects the rationalization is limited reducing solid models to surfaces or data on spread sheets for contractors to follow. Rationalized models produced by the firms listed above do not offer strategies for construction or digital fabrication. For the physical production of CAD description an alternative to the rationalized description is needed. This paper examines the coupling of digital rationalization and digital fabrication with physical mockups (Rich, 1989). Our aim is to explore complex relationships found in early and mid stage design phases when digital fabrication is used to produce design outcomes. Results of our investigation will aid architects and engineers in addressing the complications found in the translation of design models embedded with precision to constructible geometries. We present an algorithmically based approach to design rationalization that supports physical production as well as surface production of desktop models. Our approach is an alternative to conventional rapid prototyping that builds objects by assembly of laterally sliced contours from a solid model. We explored an improved product description for rapid manufacture as bilateral contouring for structure and panelling for strength (Kolarevic, 2003). Infrastructure typically found within aerospace, automotive, and shipbuilding industries, bilateral contouring is an organized matrix of horizontal and vertical interlocking ribs evenly distributed along a surface. These structures are monocoque and semi-monocoque assemblies composed of structural ribs and skinning attached by rivets and adhesives. Alternative, bi-lateral contouring discussed is an interlocking matrix of plywood strips having integral joinery for assembly. Unlike traditional methods of building representations through malleable materials for creating tangible objects (Friedman, 2002), this approach constructs with the implication for building life-size solutions. Three algorithms are presented as examples of rationalized design production with physical results. The first algorithm [Figure 1] deconstructs an initial 2D curved form into ribbed slices to be assembled through integral connections constructed as part of the rib solution. The second algorithm [Figure 2] deconstructs curved forms of greater complexity. The algorithm walks along the surface extracting surface information along horizontal and vertical axes saving surface information resulting in a ribbed structure of slight double curvature. The final algorithm [Figure 3] is expressed as plug-in software for Rhino that deconstructs a design to components for assembly as rib structures. The plug-in also translates geometries to a flatten position for 2D fabrication. The software demonstrates the full scope of the research exploration. Studies published by Dodgson argued that innovation technology (IvT) (Dodgson, Gann, Salter, 2004) helped in solving projects like the Guggenheim in Bilbao, the leaning Tower of Pisa in Italy, and the Millennium Bridge in London. Similarly, the method discussed in this paper will aid in solving physical production problems with complex building forms. References Bentley, P.J. (Ed.). Evolutionary Design by Computers. Morgan Kaufman Publishers Inc. San Francisco, CA, 1-73 Celani, G, (2004) “From simple to complex: using AutoCAD to build generative design systems” in: L. Caldas and J. Duarte (org.) Implementations issues in generative design systems. First Intl. Conference on Design Computing and Cognition, July 2004 Dodgson M, Gann D.M., Salter A, (2004), “Impact of Innovation Technology on Engineering Problem Solving: Lessons from High Profile Public Projects,” Industrial Dynamics, Innovation and Development, 2004 Dristas, (2004) “Design Operators.” Thesis. Massachusetts Institute of Technology, Cambridge, MA, 2004 Friedman, M, (2002), Gehry Talks: Architecture + Practice, Universe Publishing, New York, NY, 2002 Kolarevic, B, (2003), Architecture in the Digital Age: Design and Manufacturing, Spon Press, London, UK, 2003 Opas J, Bochnick H, Tuomi J, (1994), “Manufacturability Analysis as a Part of CAD/CAM Integration”, Intelligent Systems in Design and Manufacturing, 261-292 Rudolph S, Alber R, (2002), “An Evolutionary Approach to the Inverse Problem in Rule-Based Design Representations”, Artificial Intelligence in Design ’02, 329-350 Rich M, (1989), Digital Mockup, American Institute of Aeronautics and Astronautics, Reston, VA, 1989 Schön, D., The Reflective Practitioner: How Professional Think in Action. Basic Books. 1983 Shelden, D, (2003), “Digital Surface Representation and the Constructability of Gehry’s Architecture.” Diss. Massachusetts Institute of Technology, Cambridge, MA, 2003 Smithers T, Conkie A, Doheny J, Logan B, Millington K, (1989), “Design as Intelligent Behaviour: An AI in Design Thesis Programme”, Artificial Intelligence in Design, 293-334 Smithers T, (2002), “Synthesis in Designing”, Artificial Intelligence in Design ’02, 3-24 Stiny, G, (1977), “Ice-ray: a note on the generation of Chinese lattice designs” Environmental and Planning B, volume 4, pp. 89-98
keywords	Digital fabrication; bilateral contouring; integral connection; complex-curve
series	SIGRADI
email
last changed	2016/03/10 09:52

_id	ijac20097107
id	ijac20097107
authors	Hadjimitsis, D.G.; Themistocleous, K.; Agapiou, A.; Clayton, C.R.I.
year	2009
title	Monitoring Archaeological Site Landscapes in Cyprus using Multi-temporal Atmospheric Corrected Image Data
source	International Journal of Architectural Computing vol. 7 - no. 1, 121-138
summary	This paper aims to examine the use of satellite remote sensing for monitoring archaeological and more generally cultural heritage sites. For this purpose, multi-temporal data from Landsat 5 TM, Landsat 7 ETM+ and Quickbird images were applied. The paper also discusses the importance of atmospheric correction at the pre-processing step in order to determine true surface reflectance values by removing these effects from satellite images. Atmospheric correction is arguably the most important part of the pre-processing of satellite remotely sensed data and any omission produces erroneous results. The effects of the atmosphere are more severe where dark targets are shown in the satellite image. In the management of cultural heritage sites, since temporal satellite images are required for monitoring purposes, the effect of the atmosphere must be considered. In-situ spectro-radiometric measurements using the GER1500 field spectro-radiometer have been used to assess the reflectance values found after applying the darkest pixel atmospheric correction to the image data. The study area consist the Amathus archaeological site in Limassol and the Nea Paphos archaeological site area located in Paphos district area in Cyprus. Vegetation Index (NDVI) change detection algorithm has been applied to a series of thirteen Landsat TM/ETM+ images of Amathus archaeological site in Limassol. Classification and extraction algorithms have been applied to Landsat TM and Quickbird high resolution images of Nea Paphos archaeological site area.
series	journal
last changed	2009/06/23 08:07

_id	cf2019_008
id	cf2019_008
authors	Han, Zhen; Ning Cao, Gang Liu and Wei Yan
year	2019
title	MOPSO for BIM: A Multi-Objective Optimization Tool Using Particle Swarm Optimization Algorithm on a BIMbased Visual Programming Platform
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 39-51
summary	With the increasing applications of computational methods in the field of design optimization, intelligent metaheuristic algorithms are playing a more important role in building performance optimization. To enable the integration of optimization algorithms with Building Information Modeling (BIM), this research implemented the Particle Swarm Optimization (PSO) algorithm on Revit + Dynamo, which is a parametric BIM platform. A MultiObjective PSO (MOPSO) Solver has been developed in Dynamo using MATLAB and C# programming languages. The methodology of the research and the validation studies are presented in the paper. The validation studies prove the effectiveness of the MOPSO Solver for both standard optimization test functions and an optimization example of a simplified building design.
keywords	Particle Swarm Optimization, BIM, multi-objective optimization, visual programming
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	a4cc
authors	Hunter, Gregory M. and Steiglitz, Kenneth
year	1979
title	Operations on Images Using Quad Trees
source	IEEE Transactions on Pattern Analysis and Machine Intelligence. April, 1979. vol. PAMI-1: pp. 145-153 : ill. includes bibliography
summary	A quad tree for representing a picture is a tree in which successively deeper levels represent successively finer subdivisions of picture area. An algorithm is given for superposing N quad trees in time proportional to the total number of nodes in the trees. Warnock-type algorithms are then presented for building the quad tree for the picture of the boundary of a polygon, and for coloring the interior of such a polygon. These algorithms take O(v + p + q) time, where v is the number of polygon vertices, p is the polygon perimeter, and q is a resolution parameter. When the resolution q is fixed, these algorithms are asymptotically optimal
keywords	GIS, mapping, CAD, layout, pattern recognition, polyhedra, quadtree, planning, image processing, computer graphics
series	CADline
last changed	2003/06/02 13:58

_id	ascaad2023_034
id	ascaad2023_034
authors	Kamal, Maria; Hosny, Samir; Assem, Ayman; Fathy, Fatma
year	2023
title	Computational Optimization of Architectural Space Planning
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 732-749.
summary	Automated space layout planning has been a long-standing problem in the field of computer-aided design. The challenge lies in generating an optimal space design that has a well-defined vision and a multitude of competing objectives and evaluation measures. Computational approaches assisted designers in exploring design solutions and fulfilling some non-geometric goals more effectively and efficiently. However, quantifying spatial qualities for computational representations is challenging, especially where a multitude of interrelated objectives are needed to be met, such as wayfinding, maximizing views to outside, maximizing visibility, and minimizing travel, alongside the functional relations of the spaces with each other. Moreover, there could be a change in these intended objectives, which requires space design adaptation. Thus, there is a need for more flexible, fast, and automated design tools to be used in the design process. This paper presents a framework to generate optimal architectural space planning solutions through an interactive design system that takes geometrical, topological, and performance goals and design constraints as input. This system is based on data structure representations combined with evaluation and optimization algorithms and a parametric representation. Through a theoretical and analytical inductive study of the previous research in this field, defined steps for a computational approach for space planning optimization was proposed by presenting architect-friendly tools and graphics to simplify producing realistic optimal solutions for the required space planning problems.
series	ASCAAD
email
last changed	2024/02/13 14:34

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