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	ecaadesigradi2019_060
id	ecaadesigradi2019_060
authors	Koenig, Reinhard and Schneider, Sven
year	2019
title	Evaluation of systems for video-based online teaching - Create your own MOOC or SPOC
source	Sousa, JP, Xavier, JP and Castro Henriques, G (eds.), Architecture in the Age of the 4th Industrial Revolution - Proceedings of the 37th eCAADe and 23rd SIGraDi Conference - Volume 1, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 109-116
doi	https://doi.org/10.52842/conf.ecaade.2019.1.109
summary	There are a lot of discussions about digitalizing university teaching and opening it to civil society. In this context, we investigate the current options for setting up and distributing video-based online courses. First, we make a review of a subjectively selected set of existing platforms and technologies for video-based online courses. Next, we discuss the needs of futures online teaching concepts and the corresponding challenges of digitalization for university teaching. We summarize essential aspects of the considered platforms, technologies, and today's examples in tables. The main result is an overview of systems that can be used to start your online teaching initiative with a small budget.
keywords	Online learning; video-based courses; MOOC; SPOC
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaade2016_119
id	ecaade2016_119
authors	Koenig, Reinhard and Varoudis, Tasos
year	2016
title	Spatial Optimisations - Merging depthmapX, spatial graph networks and evolutionary design in Grasshopper
source	Herneoja, Aulikki; Toni Österlund and Piia Markkanen (eds.), Complexity & Simplicity - Proceedings of the 34th eCAADe Conference - Volume 2, University of Oulu, Oulu, Finland, 22-26 August 2016, pp. 249-254
doi	https://doi.org/10.52842/conf.ecaade.2016.2.249
wos	WOS:000402064400024
summary	In the Space Syntax community, the standard tool for computing all kinds of spatial graph network measures is depthmapX (Varoudis, 2012). The process of evaluating many design variants of networks is relatively complicated, since they need to be drawn in a separated CAD system, exported and imported in depthmapX via dxf file format. This procedure disables a continuous integration into a design process. Furthermore, the standalone character of depthmapX makes it impossible to use its network centrality calculation for optimization processes. To overcome this limitations, we present in this paper the first steps of experimenting with a Grasshopper component (Varoudis, 2016) that can access the functions of depthmapX and integrate them into Grasshopper/Rhino3D. Here the component is implemented in a way that it can be used directly for an evolutionary algorithm (EA) implemented in a Python scripting component in Grasshopper.
keywords	Space Syntax; Evolutionary Algorithm; Grasshopper; Python; DepthmapX; Optimization
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2018_w04
id	ecaade2018_w04
authors	Koenig, Reinhard, Beilik, Martin, Knecht, Katja, Abdulmawla, Abdulmalik and Fuchkina, Ekaterina
year	2018
title	New Methods for Urban Analysis and Simulation with Grasshopper - Using DeCodingSpaces-Toolbox
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 65-68
doi	https://doi.org/10.52842/conf.ecaade.2018.1.065
summary	This workshop presents a collection of methods that supports the creation of urban masterplans. These methods are also used for evaluating the performance of the generated plans using advanced performance analysis tools as well as design exploration tools. During a one-day-workshop, the participants will practice using these tools in three parts; Street Network Generation, Synthesis of urban morphology, and Design-Space-Exploration. All the tools are integrated in one library called DeCodingSpaces-Toolbox for the parametric modelling environment Grasshopper.
keywords	Urban Generation and Analysis; Urban Simulation; Design Space Exploration
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2015_336
id	ecaade2015_336
authors	Koenig, Reinhard
year	2015
title	CPlan - An Open Source Library for Computational Analysis and Synthesis
source	Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 1, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 245-250
doi	https://doi.org/10.52842/conf.ecaade.2015.1.245
wos	WOS:000372317300026
summary	Some caad packages offer additional support for the optimization of spatial configurations, but the possibilities for applying optimization are usually limited either by the complexity of the data model or by the constraints of the underlying caad system. Since we missed a system that allows to experiment with optimization techniques for the synthesis of spatial configurations, we developed a collection of methods over the past years. This collection is now combined in the presented open source library for computational planning synthesis, called CPlan. The aim of the library is to provide an easy to use programming framework with a flat learning curve for people with basic programming knowledge. It offers an extensible structure that allows to add new customized parts for various purposes. In this paper the existing functionality of the CPlan library is described.
series	eCAADe
email
more	https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=ebe47ae4-702d-11e5-b15e-17078d1d5730
last changed	2022/06/07 07:51

_id	cf2017_110
id	cf2017_110
authors	Koenig, Reinhard; Miao, Yufan; Knecht, Katja; Bus, Peter; Mei-Chih, Chang
year	2017
title	Interactive Urban Synthesis: Computational Methods for Fast Prototyping of Urban Design Proposals
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, p. 110.
summary	In this paper, we present a method for generating fast conceptual urban design prototypes. We synthesize spatial configurations for street networks, parcels and building volumes. Therefore, we address the problem of implementing custom data structures for these configurations and how the generation process can be controlled and parameterized. We exemplify our method by the development of new components for Grasshopper/Rhino3D and their application in the scope of selected case studies. By means of these components, we show use case applications of the synthesis algorithms. In the conclusion, we reflect on the advantages of being able to generate fast urban design prototypes, but we also discuss the disadvantages of the concept and the usage of Grasshopper as a user interface.
keywords	Procedural grammars, Artificial intelligence in design, Urban synthesis, Generative design, Grasshopper plugin, Cognitive design computing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	ecaade2010_117
id	ecaade2010_117
authors	Koenig, Reinhard; Thurow, Torsten; Braunes, Jo_rg; Tonn, Christian; Donath, Dirk; Schneider, Sven
year	2010
title	FREAC: A Technical Introduction to a Framework for Enhancing Research in Architectural Design and Communication
source	FUTURE CITIES [28th eCAADe Conference Proceedings / ISBN 978-0-9541183-9-6] ETH Zurich (Switzerland) 15-18 September 2010, pp.445-451
doi	https://doi.org/10.52842/conf.ecaade.2010.445
wos	WOS:000340629400048
summary	This paper describes a framework for a collaborative, dynamically modifiable product model called FREAC built for the purposes of experimental software development. When developing FREAC, we attempted to realise the following properties that are typically lacking in currently available commercial systems: first, a high degree of flexibility so that it is highly adaptable to the needs of different disciplines; second, the ability to seamlessly connect different tools; third, real-time concurrent modelling by different remote partners; fourth, the ability to save a record of the entire modelling process; fifth, dynamic extensibility both for software developers as well as for the end users of the respective tools.
keywords	Software development; Experimental platform; Product model; Digital building model
series	eCAADe
email
last changed	2022/06/07 07:51

_id	ecaade2013_197
id	ecaade2013_197
authors	Koenig, Reinhard; Treyer, Lukas and Schmitt, Gerhard
year	2013
title	Graphical Smalltalk with My Optimization System for Urban Planning Tasks
source	Stouffs, Rudi and Sariyildiz, Sevil (eds.), Computation and Performance – Proceedings of the 31st eCAADe Conference – Volume 2, Faculty of Architecture, Delft University of Technology, Delft, The Netherlands, 18-20 September 2013, pp. 195-203
doi	https://doi.org/10.52842/conf.ecaade.2013.2.195
wos	WOS:000340643600019
summary	Based on the description of a conceptual framework for the representation of planning problems on various scales, we introduce an evolutionary design optimization system. This system is exemplified by means of the generation of street networks with locally defined properties for centrality. We show three different scenarios for planning requirements and evaluate the resulting structures with respect to the requirements of our framework. Finally the potentials and challenges of the presented approach are discussed in detail.
keywords	Design optimization; interactive planning support system; generative system integration; evolutionary multi-criteria optimization.
series	eCAADe
email
last changed	2022/06/07 07:51

_id	acadia19_332
id	acadia19_332
authors	Koerner, Andreas
year	2019
title	Thermochromic Articulations
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 332- 337
doi	https://doi.org/10.52842/conf.acadia.2019.332
summary	The ongoing research presented in this paper lies on the threshold between computational design and digital fabrication with a strong focus on emergent techniques for environmental design. The main hypothesis is, that with an increasing granularity of thermal comfort - observing a trend towards more heterogeneous indoor microclimates – new design challenges arise. Architectural fabrics will be required to communicate indoor climate conditions to the inhabitants, to maintain high levels of thermal comfort locally but specifically. This research investigates a novel generative design methodology, which links computational fluid dynamics simulations, robotic fabrication and material-inert performances. The resulting environmentally active panels respond to climatic conditions and by this communicate parameters of thermal comfort, such as temperature, airflow, and humidity, to the inhabitants. This paper presents a digital design workflow, a prototype for a thermochromic panel, and speculates on potential development. Communicating invisible parameters of thermal comfort to users is a crucial requirement when designing large continuous indoor volumes, when blurring the dichotomous duality of inside and outside and when designing highly porous architecture.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	acadia14projects_193
id	acadia14projects_193
authors	Koerner, Julia; Boltenstern, Marie; Al-Rawi, Kais
year	2014
title	Cellular Complexity "Evolve"
source	ACADIA 14: Design Agency [Projects of the 34th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 9789126724478]Los Angeles 23-25 October, 2014), pp. 193-196
doi	https://doi.org/10.52842/conf.acadia.2014.193
summary	Cellular Complexity “Evolve” is an installation, which exhibits the potential of cellular geometries at a spatial architectural scale. The complex twisted geometry was generatively designed and digitally fabricated and stands out for cutting edge digital design concept and strategy.
keywords	cellular geometries, biological systems, performative parameters
series	ACADIA
type	Practice Projects
email
last changed	2022/06/07 07:51

_id	4140
authors	Koffman, Elliot B.
year	1981
title	Problem Solving and Structured Programming in PASCAL
source	82 p. in various paging reading Reading, Mass.: Addison-Wesley Pub. Co. Inc., 1981. include index.
summary	-- (Addison-wesley Series in Computer Science and Information Processing). A one semester introductory course in computer programming. Teaches problem solving through the technique of stepwise algorithms development. Most of the features of standard PASCAL are covered in detail. Separate chapters are devoted to a discussion of advanced data structures like files, multidimensional arrays, and lists and trees. There is an appendix that discusses string processing in UCSD PASCAL
keywords	PASCAL, programming, problem solving, education, languages
series	CADline
last changed	2003/06/02 13:58

_id	caadria2019_462
id	caadria2019_462
authors	Koh, Immanuel, Amorim, Pedro and Huang, Jeffrey
year	2019
title	Machinic Design Inference: from PokÃ©mon to Architecture - A Probabilistic Machine Learning Model for Generative Design using Game Levels Abstractions
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 2, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 421-430
doi	https://doi.org/10.52842/conf.caadria.2019.2.421
summary	In this paper, we use a probabilistic machine learning model, trained with a corpus of existing game levels tile-maps, to study the potential of an inference design system for architectural design. Our system is able to extract implicit spatial patterns and generate new spatial configurations with similar semantics of perception and navigation.
keywords	Machine Learning; Artificial Intelligence; Generative Design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2017_086
id	caadria2017_086
authors	Koh, Immanuel, Keel, Paul and Huang, Jeffrey
year	2017
title	Decoding Parametric Design Data - Towards a Heterogeneous Design Search Space Remix
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 117-126
doi	https://doi.org/10.52842/conf.caadria.2017.117
summary	Designers or Non-Designers are not able to effectively access, view, search, discover, collect, reuse, remix and share parametric design data (PDD) for either professional or educational purposes. PDD here refers to the meta-data of 3D models generated by visual dataflow modelling software packages used in CAD/CAM industry. This ineffectiveness is a direct consequence of the deliberately proprietary nature of most PDD file formats and the restricted use within their respective desktop-based software environments. This paper presents an initial software prototype capable of automating the process of decoding a commonly used PDD file format and then re-encoding it with new set of metrics to facilitate multiple PDD searchability, comparability and interoperability, via an integrated web interface querying a design data repository. All PDDs are conceptualized as genealogies of numerical or geometric transformations and explicitly encoded with a graph-based data structure. The goal is to eventually learn from its own big data and begin to artificially generate novel PDDs heterogeneously.
keywords	Design Decoder; Design Space Exploration; Parametric Design; Visual Analytics; Design Data
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2013_080
id	caadria2013_080
authors	Koh, Immanuel
year	2013
title	Computer Vision and Augmented Reality Technologies in Experimental Architectural Design Education at the AA
source	Open Systems: Proceedings of the 18th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2013) / Singapore 15-18 May 2013, pp. 427-436
doi	https://doi.org/10.52842/conf.caadria.2013.427
wos	WOS:000351496100042
summary	This paper aims to investigate the potential of both open source software and new media (esp. computer vision and augmented reality) as tools for architectural design and education. The examples illustrated in the paper would be drawn mainly from students’ projects done as part of their AA Media Studies Course submission at the AA School of Architecture (AA) during the academic years from 2011/2012 to 2012/2013. The paper outlines the main approaches, which students have chosen to implement, both directly and indirectly, these new media and tools into their studio work at the AA. Section 1 briefly introduces a range of currently available open source computational design toolkits that are deemed useful for quick implementation of computer vision and augmented reality technologies. The related programming languages, softwares and hardwares would also be introduced and described accordingly. Sections 2 and 3 are accompanied with a visual catalogue of students’ projects to better illustrate the diversity in the understanding and implementation of computer vision and augmented reality technologies in architectural design. Section 4 serves to conclude the paper by first discussing briefly the feedback from students at the end of the course before clarifying the context of the research and thus its relation to recent work done by others using similar technologies.
keywords	Computer vision, Augmented reality, Generative design, Interaction design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2014_099
id	caadria2014_099
authors	Koh, Immanuel
year	2014
title	Generative-Glass: Prototyping Generative Architectural Systems with Artisan’s Glass-Blowing and Automated Digital Fabrication Techniques
source	Rethinking Comprehensive Design: Speculative Counterculture, Proceedings of the 19th International Conference on Computer-Aided Architectural Design Research in Asia (CAADRIA 2014) / Kyoto 14-16 May 2014, pp. 389–398
doi	https://doi.org/10.52842/conf.caadria.2014.389
summary	This paper aims to investigate the ways in which the traditional processes of glassblowing techniques could be incorporated with contemporary generative design processes in the realization of new novel architectural systems. Pedagogical issues on how such prototyping processes could be better integrated within architectural education are also discussed. With the use of algorithmic design methodology to generate/visualize the components assembled in multitudes and digital fabrication machineries to produce the necessary moulds/jigs/tools/connection joints, a series of 5 different glass prototypes have been actualized at the scale of 1:1 or otherwise. The work is the direct outcome of a new programme founded and directed by the author as part of the Architectural Association (AA) School of Architecture‘s Visiting School in 2013. Part 1 briefly introduces the specific agenda and how the corresponding structure of the programme is designed to facilitate the glass research work done concurrently at the digital fabrication laboratory and glassblowing studio. Part 2 would systematically discuss in detail the design of each of the 5 main glass prototypes made, presented alongside photographs and diagrams to illustrate the prototypes’ respective assembly and fabrication logics. Part 3 would evaluate the work done and project plans for the next iteration of the research in 2014.
keywords	Glass; Digital Fabrication; Generative Design; Traditional Crafts
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	caadria2020_163
id	caadria2020_163
authors	Koh, Immanuel
year	2020
title	The Augmented Museum - A Machinic Experience with Deep Learning
source	D. Holzer, W. Nakapan, A. Globa, I. Koh (eds.), RE: Anthropocene, Design in the Age of Humans - Proceedings of the 25th CAADRIA Conference - Volume 2, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 639-648
doi	https://doi.org/10.52842/conf.caadria.2020.2.639
summary	Today we witness a shift in the role with which museum used to play -- from one that was simply a spatial container filled with physical artworks on display, to one that is now layered with the digital/online version of the artworks themselves. Deep learning algorithms have become an important means to process such large datasets of digital artworks in providing an alternative curatorial practice (biased/unbiased), and consequentially, augmenting the navigation of the museum's physical spaces. In collaboration with a selection of museums, a series of web/mobile applications have been made to investigate the potential of such machinic inference, as well as interference of the physical experience.
keywords	Machine Learning; Deep Learning; Experience Design; Artificial Intelligence
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	sigradi2022_168
id	sigradi2022_168
authors	Koh, Immanuel
year	2022
title	Palette2Interior Architecture: From Syntactic and Semantic Colour Palettes to Generative Interiors with Deep Learning
source	Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 187–198
summary	Colour palettes have long played a significant role in not only capturing design ambience (e.g., as mood boards), but more significantly, in translating an abstract intuition into an explicit ordering mechanism for design representation and synthesis, whether it is in the discipline of graphic design, interior design or architectural design. Might this difficult process of design synthesis from a low-dimensional colour input domain to a high-dimensional spatial design output domain be computationally mapped? Using today’s generative adversarial networks (GANs), the paper aims to investigate this plausibility, and in doing so, hoping to envision an AI-augmented design workflow and tooling. Newly-created datasets are made procedurally and used to train three different types of deep learning models in the specific context of generating living room interior layouts. The results suggest that a combination of syntactic and semantic generative processes is necessary for a critical appropriation of such AI models
keywords	Machine Learning, Artificial Intelligence, Deep Neural Networks, Colour Palette, Interior Design
series	SIGraDi
email
last changed	2023/05/16 16:55

_id	ecaade2024_242
id	ecaade2024_242
authors	Koh, Immanuel; Saw, Man Lin
year	2024
title	Architectural Dramaturgy: A total and endless theatre with multimodal artificial intelligence
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. 559–564
doi	https://doi.org/10.52842/conf.ecaade.2024.1.559
summary	Close to a century ago, Walter Gropius proposed the highly influential but unrealised project ‘Total Theatre’ (1927). The project captured Gropius’ adapted formulation of ‘Gesamtkunstwerk’(‘total work of art’) as ‘Total Design’ within the Bauhaus, and more specifically, in relation to ‘The Theatre of the Bauhaus’ (1924). The ‘Total Theatre’ was Gropius’ attempt to dynamically reconfigure the previously static relationship between actors and audience into one that is participatory and filmic in spatial layout. Around the same time in history, shortly after designing the set for Eugene O’Neill’s ‘The Emperor Jones’ in 1924, Frederick Kiesler began to conceptualise his ‘Endless Theatre’ (1926). In the former, Kiesler created a constructivist stage space with moving walls/floors/ceilings animating in-sync with the play’s narrative and producing cinematographic effects similar to those found in films. For both Gropius and Kiesler, the theatre is a fertile ground for incorporating the latest technologies to prototype a ‘totally’ multimodal and ‘endlessly’ generative form of architecture. Against the backdrop of such past intellectual efforts in architecture, and that of today’s rapidly foregrounding of Large Language Models (LLMs) and Large Multimodal Models (LMMs) in artificial intelligence (AI) within the architecture discipline, the paper posits that it is timely to revisit this conceptual cross-fertilisation of theatre and architecture – architectural dramaturgy. In doing so, the research aims to extend Gropius’s and Kiesler’s concept of the ‘total’ and the ‘endless’ respectively through the lens of the ‘computational’. The first experiment uses different datasets from existing established theatre creators to train and prompt-engineer relevant AI models, namely a text-to-text model for playwright Arthur Miller, a text-to-image model for director Ivo van Hove, and a text-to-audio model for composer Stephen Sondheim. In improving the coherence of the results, the second experiment replaces unimodality with multimodality leveraging a single source of video data (the poignant “To be or not to be” soliloquy from Shakespeare’s Hamlet) to formulate a human-in-the-loop interpretative framework by utilising a combination of text-image-to-image model and text-image-to-video model, and further postprocessed with image inpainting model and image-to-3D model. With the deliberate bracketing of site, programmes and other specificities typical of an architecture project, the research demonstrates how concepts borrowed from theatre when layered with multimodal AI could extend the discipline’s longstanding conception of a total and endless architecture.
keywords	Theatre, Deep Learning, Large Multimodal Models, Kiesler, Gropius
series	eCAADe
email
last changed	2024/11/17 22:05

_id	caadria2021_448
id	caadria2021_448
authors	Koh, Seow Jin, Mok, Chiew Kai, Tan, Rachel and Chen, Edmund
year	2021
title	Optimising Harbour Typology in the Form Finding Process using Computational Design: A case study of a Greenfield port facility
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 619-628
doi	https://doi.org/10.52842/conf.caadria.2021.2.619
summary	The bulk of computational design strategies and research have been focused on issues related to architectural form and building systems. This is done by employing computational tools to optimise architectural forms, building performance and generally, improve quality of living. Many of these methodologies are based on the concept of form finding - varying geometric elements to generate and evaluate options to derive optimised solutions. However, beyond building designs, the concept of form finding can find its relevance in other design applications too such as engineering, landscape, and in our case, the design of ports, or more specifically harbour typology. In most building scenarios, the plot of land earmarked for development is typically selected beforehand, hence little exploration have been done to optimise land topology, when in fact the profile of land is the governing feature in most designs. For performance driven facilities like ports with high economic and political impact, there is value in optimizing topology to maximise throughput. Through the multi-disciplinary and collaborative effort of stakeholders and specialists, our project explored optimizing harbour topology via performance-based approach using computational design. The phenomenon, including impact and effects of trade-offs, are discussed and presented in this paper through a case study of a Greenfield port facility.
keywords	form finding; form optimisation; port masterplanning; harbour typology; computational design
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	sigradi2003_115
id	sigradi2003_115
authors	Kohan, Florencia
year	2003
title	PIXELIDADES (Pixelings)
source	SIGraDi 2003 - [Proceedings of the 7th Iberoamerican Congress of Digital Graphics] Rosario Argentina 5-7 november 2003
summary	Inside the current esthetics arisen from the digital art, I recognize PXEL ART as a vanguard. Not only because of its craft and methodology (the form to work it, beyond its content) but also because of its sense, which is to claim the most minimum unit from a digital perception. Even though the term 'vanguard' seems to have disappeared in our times, my intention is to differentiate ~Pixelism~ from a simple esthetic position or modern wave.
series	SIGRADI
email
last changed	2016/03/10 09:54

_id	acadia19_522
id	acadia19_522
authors	Kohler, Daniel; Galika, Anna; Pu, Qiuru; Bai, Junyi
year	2019
title	Blockerties
source	ACADIA 19:UBIQUITY AND AUTONOMY [Proceedings of the 39th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-578-59179-7] (The University of Texas at Austin School of Architecture, Austin, Texas 21-26 October, 2019) pp. 522-531
doi	https://doi.org/10.52842/conf.acadia.2019.522
summary	The paper aims for new urban forms of property enabled by computation models of distributed ledgers as they are currently being deployed with technologies like Blockchain. Distributed ledgers promise to constitute whole environments by chaining and sharing blocks of data. Upscaling this prospective, the paper describes objects with unique and strong compositional characteristics that act as closed black boxes and are able through distribution to create large scale effects. The final result of the nesting is the Interchain, a chain of chains that initiate with the characteristics of the contributing chains, and due to the distribution, unprecedented patterns arise. The resulting Interchain, observed with spatial and architectural characteristics, can project a new building form and a new urban model based on blockchain theory.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

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