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	ecaade2018_198
id	ecaade2018_198
authors	Servières, Myriam, Piga, Barbara, Morello, Eugenio, Requena, Ignacio, L'Her, Gwendoline, Saulnier-Sinan, Steven and Siret, Daniel
year	2018
title	Envisioning Future Urban Scenarios - The outcomes of the international Mobiance 3 workshop on Sharing Cities, Ambient Commons and Urban Futures
doi	https://doi.org/10.52842/conf.ecaade.2018.2.693
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 693-700
summary	New digital devices, mainly mobile ones, raise new questions on architectural and urban design practices. People became ''sensors", being at the same time able to move into the city and to move into the information space. Mobiance, a mix between Mobile and Ambiance, is a research and creation process focused on the impacts of innovative ICT technologies, especially mobile, on urban design. This paper first presents the context of the third workshop based on the topic, then it introduces the proposals produced by participants; to conclude the contribution develops an analysis of these proposals based on the sharing society paradigm.
keywords	: Mobile devices; Ambiance; Urban design; Sharing cities
series	eCAADe
type	normal paper
email
last changed	2022/06/07 07:57

_id	ecaade2018_158
id	ecaade2018_158
authors	Zhou, Jing, Klumpner, Hubert and Brillembourg, Afredo
year	2018
title	The Dynamic Geometric Network Model for Representing Verticalized Urban Environment and its Generation
doi	https://doi.org/10.52842/conf.ecaade.2018.1.525
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. 525-530
summary	Against the background of urbanization and the fast growth of population in big cities, there will be more and more high-rises emerged in the future. In some big cities, the various layers of public transpiration networks such as metro systems also played an essential role in the urban life. In the verticalized urban environment, the complexity of the multi-layers space system connected by various horizontal and vertical connections have been beyond people's cognition. The boundaries between private space and public space, outdoor-space and indoor-space have already blurred. The graph theory based urban spatial analysis approaches are adopted in urban studies to tackle with the urban complexity issues. However, at present, most of the methods proposed are specializing in open urban spaces, and they cannot describe the three-dimensional completely and accurately. Therefore, in this paper, a new graph theory based representation method, the Dynamic Geometric Network Model, which adapted to the verticalized urban environment will be proposed. And the approach of how to automatically generate such a representation model according to the urban layout will also be introduced.
keywords	Graph Model Representation; Graph Model Generation; Verticalized Urban Environment
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_164
id	ecaade2018_164
authors	Chang, Mei-Chih, Buš, Peter, Tartar, Ayça, Chirkin, Artem and Schmitt, Gerhard
year	2018
title	Big-Data Informed Citizen Participatory Urban Identity Design
doi	https://doi.org/10.52842/conf.ecaade.2018.2.669
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 669-678
summary	The identity of an urban environment is important because it contributes to self-identity, a sense of community, and a sense of place. However, under present-day conditions, the identities of expanding cities are rapidly deteriorating and vanishing, especially in the case of Asian cities. Therefore, cities need to build their urban identity, which includes the past and points to the future. At the same time, cities need to add new features to improve their livability, sustainability, and resilience. In this paper, using data mining technologies for various types of geo-referenced big data and combine them with the space syntax analysis for observing and learning about the socioeconomic behavior and the quality of space. The observed and learned features are identified as the urban identity. The numeric features obtained from data mining are transformed into catalogued levels for designers to understand, which will allow them to propose proper designs that will complement or improve the local traditional features. A workshop in Taiwan, which focuses on a traditional area, demonstrates the result of the proposed methodology and how to transform a traditional area into a livable area. At the same time, we introduce a website platform, Quick Urban Analysis Kit (qua-kit), as a tool for citizens to participate in designs. After the workshop, citizens can view, comment, and vote on different design proposals to provide city authorities and stakeholders with their ideas in a more convenient and responsive way. Therefore, the citizens may deliver their opinions, knowledge, and suggestions for improvements to the investigated neighborhood from their own design perspective.
keywords	Urban identity; unsupervised machine learning; Principal Component Analysis (PCA); citizen participated design; space syntax
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_301
id	ecaade2018_301
authors	Cocho-Bermejo, Ana, Birgonul, Zeynep and Navarro-Mateu, Diego
year	2018
title	Adaptive & Morphogenetic City Research Laboratory
doi	https://doi.org/10.52842/conf.ecaade.2018.2.659
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 659-668
summary	"Smart City" business model is guiding the development of future metropolises. Software industry sales to town halls for city management services efficiency improvement are, these days, a very pro?table business. Being the model decided by the industry, it can develop into a dangerous situation in which the basis of the new city design methodologies is decided by agents outside academia expertise. Drawing on complex science, social physics, urban economics, transportation theory, regional science and urban geography, the Lab is dedicated to the systematic analysis of, and theoretical speculation on, the recently coined "Science of Cities" discipline. On the research agenda there are questions arising from the synthesis of architecture, urban design, computer science and sociology. Collaboration with citizens through inclusion and empowerment, and, relationships "City-Data-Planner-Citizen" and "Citizen-Design-Science", configure Lab's methodology provoking a dynamic responsive process of design that is yet missing on the path towards the real responsive city.
keywords	Smart City; Morphogenetic Urban Design; Internet of Things; Building Information Modelling; Evolutionary Algorithms; Machine Learning & Artificial Intelligence
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_169
id	ecaade2018_169
authors	Kasahara, Maki, Matsushita, Kiwa and Mizutani, Akihiro
year	2018
title	Learning from Generative Design System in the 60's - Case Study of Agricultural City Project by Kisho Kurokawa
doi	https://doi.org/10.52842/conf.ecaade.2018.2.095
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 95-102
summary	The concept of generative design in Architecture and Urbanism can be found in the 60's before the wide availability of computer technology. This paper decodes one of the urban projects by Metabolist in 1960, which was intended to be a generative system applicable to other sites and evolves over time. Through our analysis, we de-code the formulation process, and verified our hypothesis by re-coding into the program using the software, Rhinoceros and Grasshopper. We found that the determinate factors rule more at the macro level of the project, but the parameters are set by taking the local conditions into account. At the micro level, the system leaves more freedom to accommodate various needs, reflecting the philosophy of the Metabolists. The investigation on this historical predecessor can provide useful insights for parameter settings in future generative system design.
keywords	Generative Design; Grasshopper; Kisho Kurokawa
series	eCAADe
email
last changed	2022/06/07 07:52

_id	caadria2018_293
id	caadria2018_293
authors	Lee, Jisun and Lee, Hyunsoo
year	2018
title	The Visible and Invisible Network of a Self-Organizing Town - Agent-Based Simulation for Investigating Urban Development Process
doi	https://doi.org/10.52842/conf.caadria.2018.2.411
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 411-420
summary	This study applies self-organization as a methodology to understand the complex process of city networks caused by interactions between spatial structures and individual behaviors. The agent-based simulations have been conducted to investigate the visible and invisible networks understanding the self-organized aspects of city development processes. To develop optimal future networks providing connectivity and accessibility this study investigates spatial network configurations from internal individual behavior and movement. As results, it was found that the spatial configurations of the agent movement trails match to the current district boundaries and the similar network patterns were seen in various control values of agent behavior settings. This study contributes to searching out the hierarchy of network structures which is an important factor for re-planning of the way system.
keywords	Agent-based simulation; network analysis ; self organization ; urban development process ; Physarum polycephalum
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	ecaade2018_166
id	ecaade2018_166
authors	Unger, Pawe³ and Rom?o, Luís
year	2018
title	The Game of Urban Attractiveness - Shape Grammars and Cellular Automata Based Tool for Prediction of Human's Behaviour in Cities
doi	https://doi.org/10.52842/conf.ecaade.2018.2.629
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 629-638
summary	This paper presents a way to predict people's interest in a public space based on a space's "attractiveness" as a movement attractor. Two generative systems are integrated into the prediction model. The Cellular Automata (CA) is the core of simulation engine and the Shape Grammars (SG) is a descriptive language for the CA rules. Both, CA and SG exhibit complementary features counteracting each other's drawbacks. Having translated social behaviour into a set of rules, the CA algorithm applies them to distinguish people's leisure interest attractors from places with a minor attractiveness. The tool is designed to be used at various urban scales by city planners and venture capitalists. It is dedicated towards the early stage of planning process to evaluate the future attractiveness of places. The case study is located in the central district of Lisbon, Bairro Alto. One of the important aspects are description of the rules with SG and interpretation of the CA results. Implemented in Python for Grasshopper and visualised in Rhinoceros3D. The article does not present the final solution, rather is an experimental attempt to interpret and describe the already explored urban context of Cellular Automata.
keywords	Behaviour Prediction; Cellular Automata; Shape Grammars; Space Attractiveness; Urban Simulation
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_303
id	ecaade2018_303
authors	Werner, Liss C.
year	2018
title	Biological Computation of Physarum - From DLA to spatial adaptive Voronoi
doi	https://doi.org/10.52842/conf.ecaade.2018.2.531
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 531-536
summary	Physarum polycephalum, also called slime mold or myxamoeba, has started attracting the attention of those architects, urban designers, and scholars, who work in experimental trans- and flexi-disciplines between architecture, computer sciences, biology, art, cognitive sciences or soft matter; disciplines that build on cybernetic principles. Slime mold is regarded as a bio-computer with intelligence embedded in its physical mechanisms. In its plasmodium stage, the single cell organism shows geometric, morphological and cognitive principles potentially relevant for future complexity in human-machines-networks (HMN) in architecture and urban design. The parametric bio-blob presents itself as a geometrically regulated graph structure-morphologically adaptive, logistically smart. It indicates cognitive goal-driven navigation and the ability to externally memorize (like ants). Physarum communicates with its environment. The paper introduces physarum polycephalum in the context of 'digital architecture' as a biological computer for self-organizing 2D- to 4D-geometry generation.
keywords	generative geometry; bio-computation; Voronoi
series	eCAADe
email
last changed	2022/06/07 07:57

_id	ecaade2018_232
id	ecaade2018_232
authors	Al Bondakji, Louna, Chatzi, Anna-Maria, Heidari Tabar, Minoo, Wesseler, Lisa-Marie and Werner, Liss C.
year	2018
title	VR-visualization of High-dimensional Urban Data
doi	https://doi.org/10.52842/conf.ecaade.2018.2.773
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 773-780
summary	The project aims to investigate the possibility of VR in a combination of visualizing high-dimensional urban data. Our study proposes a data-based tool for urban planners, architects, and researchers to 3D visualize and experience an urban quarter. Users have a possibility to choose a specific part of a city according to urban data input like "buildings, streets, and landscapes". This data-based tool is based on an algorithm to translate data from Shapefiles (.sh) in a form of a virtual cube model. The tool can be scaled and hence applied globally. The goal of the study is to improve understanding of the connection and analysis of high-dimensional urban data beyond a two-dimensional static graph or three-dimensional image. Professionals may find an optimized condition between urban data through abstract simulation. By implementing this tool in the early design process, researchers have an opportunity to develop a new vision for extending and optimizing urban materials.
keywords	Abstract Urban Data Visualization; Virtual Reality; Geographical Information System
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ecaade2018_139
id	ecaade2018_139
authors	Cudzik, Jan and Radziszewski, Kacper
year	2018
title	Artificial Intelligence Aided Architectural Design
doi	https://doi.org/10.52842/conf.ecaade.2018.1.077
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. 77-84
summary	Tools and methods used by architects always had an impact on the way building were designed. With the change in design methods and new approaches towards creation process, they became more than ever before crucial elements of the creation process. The automation of architects work has started with computational functions that were introduced to traditional computer-aided design tools. Nowadays architects tend to use specified tools that suit their specific needs. In some cases, they use artificial intelligence. Despite many similarities, they have different advantages and disadvantages. Therefore the change in the design process is more visible and unseen before solution are brought in the discipline. The article presents methods of applying the selected artificial intelligence algorithms: swarm intelligence, neural networks and evolutionary algorithms in the architectural practice by authors. Additionally research shows the methods of analogue data input and output approaches, based on vision and robotics, which in future combined with intelligence based algorithms, might simplify architects everyday practice. Presented techniques allow new spatial solutions to emerge with relatively simple intelligent based algorithms, from which many could be only accomplished with dedicated software. Popularization of the following methods among architects, will result in more intuitive, general use design tools.
keywords	computer aideed design; artificial intelligence,; evolutionary algorithms; swarm behaviour; optimization; parametric design
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ecaade2018_438
id	ecaade2018_438
authors	Das, Subhajit
year	2018
title	Interactive Artificial Life Based Systems, Augmenting Design Generation and Evaluation by Embedding Expert Opinion - A Human Machine dialogue for form finding.
doi	https://doi.org/10.52842/conf.ecaade.2018.1.085
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. 85-94
summary	Evolution of natural life and subsequently selection of life forms is an interesting topic that has been explored multiple times. This area of research and its application has high relevance in evolutionary design and automated design generation. Taking inspiration from Charles Darwin's theory, all biological species were formed by the process of evolution based on natural selection of the fittest (Darwin, n.d.) this paper explains exploratory research showcasing semi-automatic design generation. This is realized by an interactive artificial selection tool, where the designer or the end user makes key decisions steering the propagation and breeding of future design artifacts. This paper, describes two prototypes and their use cases, highlighting interaction based optimal design selection. One of the prototypes explains a 2d organic shape creator using a metaball shape approach, while the other discusses a spatial layout generation technique for conceptual design.
keywords	design generation; implicit surfaces; artificial life; decision making; artificial selection; spatial layout generation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaaderis2018_103
id	ecaaderis2018_103
authors	Davidová, Marie and Prokop, Šimon
year	2018
title	TreeHugger - The Eco-Systemic Prototypical Urban Intervention
source	Odysseas Kontovourkis (ed.), Sustainable Computational Workflows [6th eCAADe Regional International Workshop Proceedings / ISBN 9789491207143], Department of Architecture, University of Cyprus, Nicosia, Cyprus, 24-25 May 2018, pp. 75-84
keywords	The paper discusses co-design, development, production, application of TreeHugger (see Figure 1). The co-design among community and trans-disciplinary participants with different expertise required scope of media mix, switching between analogue, digital and back again. This involves different degrees of physical and digital 'GIGA-Mapping' (Sevaldson, 2011, 2015), 'Grasshopper3d' (Davidson, 2017) scripting and mix of digital and analogue fabrication to address the real life world. The critical participation of this 'Time-Based Design' (Sevaldson, 2004, 2005) process is the interaction of the prototype with eco-systemic agency of the adjacent environment - the eco-systemic performance. The TreeHugger is a responsive solid wood insect hotel, generating habitats and edible landscaping (Creasy, 2004) on bio-tope in city centre of Prague. To extend the impact, the code was uploaded for communities to download, local-specifically edit and apply worldwide. Thus, the fusion of discussed processes is multi-scaled and multi-layered, utilised in emerging design field: Systemic Approach to Architectural Performance.
series	eCAADe
email
last changed	2018/05/29 14:33

_id	ecaade2018_292
id	ecaade2018_292
authors	Dennemark, Martin, Aicher, Andreas, Schneider, Sven and Hailu, Tesfaye
year	2018
title	Generative Hydrology Network Analysis - A parametric approach to water infrastructure based urban planning
doi	https://doi.org/10.52842/conf.ecaade.2018.2.327
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 327-334
summary	Urban water systems need to be dimensioned well to be economical and distribute water in a good quality to all consumers. Their pipe sizes are dependent on demand and location of consuming nodes. Within uncertain development of cities, planning sustainable hydraulic networks is challenging. This paper explores, how the definition of urban design parameters can be supported using parametric urban design models and computational water network analysis. For the latter we developed new components for Grasshopper based on the open accessible water analysis tool EPANET. In two example cases we demonstrate potential applications of this tool for water-sensitive planning of emerging cities to find optimal positions for water sources or pipe diameters. In subsequent research, this could be used to derive probability-based recommendations for the dimensioning of a water network within uncertain growth.
keywords	water infrastructure; urban planning; parametric design; uncertainty; emerging cities
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_336
id	ecaade2018_336
authors	Ena, Valeria
year	2018
title	De-coding Rio de Janeiro's Favelas - Shape grammar application as a contribution to the debate over the regularisation of favelas. The case of Parque Royal.
doi	https://doi.org/10.52842/conf.ecaade.2018.2.429
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 429-438
summary	This study constitutes the first step of a broader PhD project, which aims to build a bridge between the architectural and the juridical examination of the typicality of low-income settlements within the city of Rio de Janeiro, the favelas. The purpose is to define a rule-based typological analysis to ease the process of evaluating the typicality of favelas and the possible, desirable form of its regularisation. This objective strives to equip all the actors involved in the debate with an analytical device able to represent the socially acknowledged, yet unofficial, rules that have been moulding favelas so far. By this means, this study tests shape grammar as a methodology for approaching this interdisciplinary issue. A shape grammar for a first case study, Parque Royal favela, located in the Governor Island, is presented. As preliminary results of the research, the paper encompasses the three early stages of construction of the case study: invasion, expansion and consolidation.
keywords	favelas (slums); urban regularisation; Rio de Janeiro; shape grammar; typology; master plan implementation
series	eCAADe
email
last changed	2022/06/07 07:55

_id	ecaade2018_165
id	ecaade2018_165
authors	Fisher-Gewirtzman, Dafna and Bruchim, Elad
year	2018
title	Considering Variant Movement Velocities on the 3D Dynamic Visibility Analysis (DVA) - Simulating the perception of urban users: pedestrians, cyclists and car drivers.
doi	https://doi.org/10.52842/conf.ecaade.2018.2.569
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 569-576
summary	The objective of this research project is to simulate and evaluate the effect of movement velocity and cognitive abilities on the visual perception of three groups of urban users: pedestrians, cyclists and car drivers.The simulation and analysis is based on the 3D Dynamic Visual Analysis (DVA) (Fisher-Gewirtzman, 2017). This visibility analysis model was developed in the Rhinoceros and Grasshopper software environments and is based on the conceptual model presented in Fisher-Gewirtzman (2016): a 3D Line of Sight (LOS) visibility analysis, taking into account the integrated effect of the 3D geometry of the environment and the variant elements of the view (such as the sky, trees and vegetation, buildings and building types, roads, water etc.). In this paper, the current advancement of the existing model considers the visual perception of human users employing three types of movement in the urban environment--pedestrians, cyclists and drivers--is explored.We expect this research project to exemplify the contribution of such a quantification and evaluation model to evaluating existing urban structures, and for supporting future human perception-based urban design processes.
keywords	visibility analysis and simulation; predicting perception of space; movement in the urban environment; pedestrians; cyclists; car drivers
series	eCAADe
email
last changed	2022/06/07 07:51

_id	sigradi2018_1523
id	sigradi2018_1523
authors	Hernandez, Silvia Patricia; Chaves, Cristina; Ron, Lucía; Genero, Mariángeles
year	2018
title	Inmotic design proposal articulated with the policies of the municipality of the City of Córdoba, Argentina
source	SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1272-1278
summary	It was proposed to investigate and develop technological advances, considering the intensive presence of digital and hybrid technologies in everyday life. These technologies were used, including advances in design, applying them in useful design proposals for a specific urban space, called interstitial. The team developed a physical space for the dissemination of the twitter of the Municipal Culture Secretary of the City of Córdoba what democratizing the information so that it is available to everyone.
keywords	Urban micro-architecture; Self-service information; City Government
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
doi	https://doi.org/10.52842/conf.acadia.2018.156
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. 156-165
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	ecaade2018_327
id	ecaade2018_327
authors	Izzo, Massimo
year	2018
title	Parametric Design as Interpreter of the Urban Compositional Problem - One basic application to city block modeling
doi	https://doi.org/10.52842/conf.ecaade.2018.2.335
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 335-344
summary	The paper explores parametric design technology from an urban design perspective of development. One possible finalization of technique as informer of urban space subdivision is presented, with an eye on geometry and its energy efficiency implications. The recognition of urban space as a field of complex equilibria, where different claims insist on the subdivision process, helps interpret methodology from a critical stance, at least within the margins of selected studies and a partial, yet indicative experiment.
keywords	complexity; parametric design; urban simulation; energy efficiency; Grasshopper; optimization
series	eCAADe
email
last changed	2022/06/07 07:50

_id	ecaade2018_p02
id	ecaade2018_p02
authors	Kepczynska-Walczak, Anetta and Martens, Bob
year	2018
title	Digital Heritage - Special Panel Session
doi	https://doi.org/10.52842/conf.ecaade.2018.1.039
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. 39-44
summary	According to eCAADe's mission, the exchange and collaboration within the area of computer aided architectural design education and research, while respecting the pedagogical approaches in the different schools and countries, can be regarded as a core activity. The current session follows up on the first Contextualised Digital Heritage Workshop (CDHW) held on the occasion of eCAADe 2016 in Oulu (D. di Mascio et.al.) This event was thought to represent the first of a series of future contextualized digital heritage workshops and hence, the name Oulu interchangeable with the name of any other city or place. The second CDHW took place in the framework of CAADRIA 2017 in Suzhou (D. di Mascio & M.A. Schnabel) and focussed on sharing and dissemination of heritage information and personal experiences, such as narratives.The primary objective for the 2018 digital heritage session is to engage participants in an active discussion, not the longer format presentation of prepared positions. The round table itself is limited to short opening statements so as to ensure time is allowed for viewpoints to be exchanged and for the conference attendees to join in on the issues discussed. The panel will review past practices with the potential for guiding future direction.
keywords	Digital technology; Built heritage; Virtual archeology
series	eCAADe
email
last changed	2022/06/07 07:52

_id	ecaade2018_151
id	ecaade2018_151
authors	Kirschner, Ursula and Sperling, David
year	2018
title	Mapping Urban Information as an Interdisciplinary Method for Geography, Art and Architecture Representations
doi	https://doi.org/10.52842/conf.ecaade.2018.2.215
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 215-224
summary	In the current context, access to daily realities is becoming increasingly mediated and processed by maps, flooding us with spatial data that appears to be objective but needs to be questioned, or even disputed. On the other hand, there are some relevant aspects of the urban experience that elude the main maps provided by apps or big data visualizing projects. So this article points out alternative ways of mapping urban information in this context, by means of presenting and discussing the methodology and results of a mapping workshop carried out at a German university in 2017 with interdisciplinary groups of students. The aim was to provide new insights and readings of the contemporary city. We explored and invented the urban with a mix of creative research methods.
keywords	urban mapping information; critical cartography; urban spirit; cooperative urban exploration
series	eCAADe
email
last changed	2022/06/07 07:52

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