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	caadria2019_396
id	caadria2019_396
authors	Cao, Rui, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2019
title	Quantifying Visual Environment by Semantic Segmentation Using Deep Learning - A Prototype for Sky View Factor
doi	https://doi.org/10.52842/conf.caadria.2019.2.623
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. 623-632
summary	Sky view factor (SVF) is the ratio of radiation received by a planar surface from the sky to that received from the entire hemispheric radiating environment, in the past 20 years, it was more applied to urban-climatic areas such as urban air temperature analysis. With the urbanization and the development of cities, SVF has been paid more and more attention on as the important parameter in urban construction and city planning area because of increasing building coverage ratio to promote urban forms and help creating a more comfortable and sustainable urban residential building environment to citizens. Therefore, efficient, low cost, high precision, easy to operate, rapid building-wide SVF estimation method is necessary. In the field of image processing, semantic segmentation based on deep learning have attracted considerable research attention. This study presents a new method to estimate the SVF of residential environment by constructing a deep learning network for segmenting the sky areas from 360-degree camera images. As the result of this research, an easy-to-operate estimation system for SVF based on high efficiency sky label mask images database was developed.
keywords	Visual environment; Sky view factor; Semantic segmentation; Deep learning; Landscape simulation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2019_266
id	caadria2019_266
authors	Indraprastha, Aswin and Dwi Pranata Putra, Bima
year	2019
title	Informed Walkable City Model - Developing A Multi-Objective Optimization Model for Evaluating Walkability Concept
doi	https://doi.org/10.52842/conf.caadria.2019.2.161
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. 161-170
summary	This study presents an informed city analysis methodology as a tool for evaluating the concept of walkability for the existing urban area. The aim of this study was to propose an integrative approaches enable optimization of urban design element and walkability amenities under certain walkability performance criteria. The parametric methods are being developed in three stages of modeling: 1) City data modeling; 2) Walkability scores and indicators modeling; 3) Optimization model of the urban area. In the walk score algorithm, we modified three elements that determine walk score result: Walk Score Categories, Distance Decay Function and Pedestrian Friendliness Metric. We developed the customized algorithm based on the data gathered from field observation and sample interviews to normalize and define values in the walk score algorithm. The result is a parametric model to evaluate walkability concept in a certain urban area considering quantified factors that determine walkability scores. The model furthermore seeks to optimize walkability score by assessing new amenities on an existing urban area using multi-objective optimization method that produces an integrative method of urban analysis.
keywords	walkability; walk score; parametric models; multi-objective optimization; informed city analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_449
id	caadria2019_449
authors	Lin, Yuqiong, Yao, Jiawei, Huang, Chenyu and Yuan, Philip F.
year	2019
title	The Future of Environmental Performance Architectural Design Based on Human-Computer Interaction - Prediction Generation Based on Physical Wind Tunnel and Neural Network Algorithms
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
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. 633-642
summary	As the medium of the environment, a building's environment performance-based generative design cannot be separated from intelligent data processing. Sustainable building design should seek an optimized form of environmental performance through a complete set of intelligent induction, autonomous analysis and feedback systems. This paper analyzed the trends in architectural design development in the era of algorithms and data and the status quo of building generative design based on environmental performance, as well as highlighting the importance of physical experiments. Furthermore, a design method for self-generating environmental performance of urban high-rise buildings by applying artificial intelligence neural network algorithms to a customized physical wind tunnel is proposed, which mainly includes a morphology parameter control and environmental data acquisition system, code translation of environmental evaluation rules and architecture of a neural network algorithm model. The design-oriented intelligent prediction can be generated directly from the target environmental requirements to the architectural forms.
keywords	Physical wind tunnel; neural network algorithms; dynamic model; environmental performance; building morphology self-generation
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	ecaadesigradi2019_464
id	ecaadesigradi2019_464
authors	Santiago, Pedro
year	2019
title	Evolutionary Optimization of Building Facade Form for Energy and Comfort in Urban Environment through BIM and Algorithmic Modeling - A case study in Porto, Portugal
doi	https://doi.org/10.52842/conf.ecaade.2019.2.153
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 153-160
summary	Consolidated urban areas usually present a challenge for the sustainable design decisions for the architect. The site, orientation and surrounding built environment compromise both passive and active systems, shortening the possible optimization measures available, leaving the designer with doubts as far as efficiency is concerned.BIM methodologies and visual programming languages have opened up a very wide range of design and analysis tools allowing the architect to make informed decisions based on data extracted from the models. Nonetheless it's optimization is through a slow process of trial and error, creating a significant limitation. This paper discusses the potentialities of the use of evolutionary algorithms to generate optimized solutions for facade solar orientation. A comparison between three different evolutionary algorithms aiming for solar radiation, inside average temperature allows to conclude the best result versus time consumed. Although under similar results the multi-objective EA represents the best compromise between time and final objective on the case study chosen for the paper. The interconnectivity in real time of BIM and algorithmic modeling softwares represents an advantage for time saving sustainable design decisions.
keywords	BIM; Evolutionary Optimization; Sustainable design
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_182
id	ecaadesigradi2019_182
authors	Argin, Gorsev, Pak, Burak and Turkoglu, Handan
year	2019
title	Post-flâneur in Public Space - Altering walking behaviour in the era of smartphones
doi	https://doi.org/10.52842/conf.ecaade.2019.1.649
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. 649-658
summary	Smartphones have become an ordinary accompanier of our walks and created new modes of appropriation of public space. This study aims to research these modes by observing the altering visual attention and walking behavior of people using smartphones in public space, and in this way, to reveal the emergence of different types of post-flâneurs. In order to address these aims, 346 (195 females, 151 males) smartphone users were observed in a central public square in Ghent, Belgium for seven days in 10-minute time intervals. Each person's gender, age, number of accompanies and their dominant mode of smartphone usage(s) were identified. Afterward, each person's walking timeline was organized into seconds and coded according to their focus of visual attention in 24 different modes which grouped under the three gaze types; visual attention on the environment, on the environment through the smartphone screen, and on the smartphone screen. Results of the descriptive statistics, multivariate graph, and rhythm-based in-depth analysis show that different types of smartphone activities affect visual attention and speed differently. Different types of post-flâneurs such as navigators and photo takers were identified based upon their high percentage of visual attention on the environment and slower walking speed. The study also revealed the frequent presence of phone-walkers (who walk while only holding the smartphone) and smartphone zombies (who walk slowly and without attention to their surrounding) in public space. In addition to these, our research revealed rapid smartphone zombies who walk faster than the average walking speed, a finding contrary to the former studies reviewed.
keywords	visual attention; public space; smartphone; walking behaviour; post-flâneur
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_628
id	ecaadesigradi2019_628
authors	Borunda, Luis, Ladron de Guevara, Manuel and Anaya, Jesus
year	2019
title	Design Method for Optimized Infills in Additive Manufacturing Thermoplastic Components
doi	https://doi.org/10.52842/conf.ecaade.2019.1.493
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. 493-502
summary	The following article extends and tests computational methodologies of design to consider Finite Element Analysis in the creation of optimized infill structures based on regular and semi-regular patterns that comply with the geometrical constraints of deposition. The Stress-Deformation relationship manifested in Finite Element Analysis is structured in order to influence the geometrical arrangement of the complex spatial infill. The research presents and discusses a program of performance informed infill design, and validates the generalizability of a method of internalizing and automating Finite Element Method (FEM) processing in Fused Deposition Modeling (FDM) workflows, and tests manufacturability of the methods through its ability to handle the FDM process constraints of FEM influenced intricate geometries.
keywords	Additive Manufacturing; Finite Element Analysis; Fused Deposition Modeling; 3D infill
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	acadia19_278
id	acadia19_278
authors	Ca?izares, Galo
year	2019
title	Digital Suprematism
doi	https://doi.org/10.52842/conf.acadia.2019.278
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. 278-287
summary	It is widely held that sometime around 2006, the World Wide Web as we knew it mutated into Web 2.0. This colloquial label signaled a shift from an Internet designed for us to an Internet designed by us. Nowhere was this more explicitly stated than in Time Magazine’s 2006 Person of the Year selection: You. More than a decade later, Internet browsers have evolved into ubiquitous interfaces accessible from mobile devices, tablet computers, public kiosks, workstations, laptops, etc. It would, therefore, not be an overstatement to say that the browser is the most widespread content canvas in the world. Designers frequently use web browsers for their ability to exhibit and organize content. They are the sites for portfolios, announcements, magazines, and at times, discussions. But despite its flexibility and rich infrastructure, rarely is the browser used to generate design elements. Thanks to advanced web development languages like JavaScript and open-source code libraries, such as p5.JS, Matter.JS, and Three.JS, browsers now support interactive and spatial content. Typically, these tools are used to generate gimmicks or visual effects, such as the parallax illusion or the infinite scroll. But if we perceive the browser as a timebased picture plane, we can immediately recognize its architectonic potential. This paper puts forth a method for engaging the creative potential of web-based media and Internet browsers. Through example projects, I argue that the Internet browser is a highly complex spatial plane that warrants more architectural analysis and experimentation.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	caadria2019_491
id	caadria2019_491
authors	Cai, Chenyi, Tang, Peng and Li, Biao
year	2019
title	Intelligent Generation of Architectural layout inheriting spatial features of Chinese Garden Based on Prototype and Multi-agent System - A Case Study on Lotus Teahouse in Yixing
doi	https://doi.org/10.52842/conf.caadria.2019.1.291
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 291-300
summary	This study presents an approach for the intelligent generation of architectural layout, in which partial space inherits Chinese garden spatial features. The approach combines spatial prototype analysis and evolutionary optimization process. On one hand, from the perspective of shape grammar, this paper both analyzes and abstracts the spatial prototype that describes the spatial characteristics of Chinese gardens, including the organization system of architecture and landscape, with the spatial sequences along the tourism orientation. On the other hand, taking the design task of Lotus teahouse as an example, a typical spatial prototype is selected to develop the generative intelligent experiment to achieve the architectural layout, in which the spatial prototype is inherited. Through rule-making and parameter adjustment, the spatial prototype will eventually be transformed into a computational model based on the multi-agent system. Hence, the experiment of intelligent generation of architectural layout is carried out under the influence of the function, form and environmental factors; and a three-dimensional conceptual model that inherits the Chinese garden spatial prototype is obtained ultimately.
keywords	Chinese garden; Architectural layout; Spatial prototype; Multi-agent system; Intelligent generation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
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 1, Chulalongkorn University, Bangkok, Thailand, 5-6 August 2020, pp. 325-334
summary	This paper presents an analysis of the output, impact, use and content of 1,860 papers that were published in the CAADRIA conference proceedings over the last 20+ years (from 1996 to 2019). The applied methodology is a blend of bibliometrics, webometrics and clustering with text mining. The bibliometric analysis leads to quantitative and qualitative results on three levels: (1) author, (2) article and (3) association. The most productive authors authored over 50 papers, and the top 20% authors have over 80 % of all citations generated by CAADRIA proceedings. The overall impact of CAADRIA may be characterised by nearly 2,000 known citations and by the h-index that is 17. The webometrics based on CumInCAD.org reveals that the CAADRIA papers served over 200 k users, which is a considerable visibility for scientific CAAD output. The keywords most frequently used by authors were digital fabrication, BIM and parametric, generative, computational design. Notably, 90% of the papers' descriptors are 2-grams. This study may be useful to researchers, educators and publishers interested in CAAD.
keywords	bibliometrics; open source; text clustering; n-gram
series	CAADRIA
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_369
id	ecaadesigradi2019_369
authors	Contreras, Camilo Hernán
year	2019
title	Surfaces Plot - A data visualization system to support design space exploration
doi	https://doi.org/10.52842/conf.ecaade.2019.2.145
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 145-152
summary	The notion of design spaces (DS) can be understood as the potential of a parametric model, it is basically the number of possible combinations for its input parameters. When combining tools that produce these alternatives automatically with different simulation softwares, the concept of parametric analysis (PA) emerges. This implies a simultaneous evaluation of the alternatives as they are constructed by the parametric model, producing large amounts of information. This article describes a sectional approach to the management of this information and a visualization technique to represent it looking for correlations between the input parameters and their performance. Correlations that are fundamental to making decisions with confidence when design problems challenge traditional methods of decision-making based on heuristics and design expertise.
keywords	Design Space ; Performance-Based Design; Parametric Analysis; Generative Design; Data Visualization
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	ecaadesigradi2019_065
id	ecaadesigradi2019_065
authors	Fukuda, Tomohiro, Novak, Marcos and Fujii, Hiroyuki
year	2019
title	Development of Segmentation-Rendering on Virtual Reality for Training Deep-learning, Simulating Landscapes and Advanced User Experience
doi	https://doi.org/10.52842/conf.ecaade.2019.2.433
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 433-440
summary	Virtual reality (VR) has been suggested for various purposes in the field of architecture, engineering, and construction (AEC). This research explores new roles for VR toward the super-smart society in the near future. In particular, we propose to develop post-processing rendering, segmentation-rendering and shadow-casting rendering algorithms for novel VR expressions to enable more versatile approaches than the normal photorealistic red, green, and blue (RGB) expressions. We succeeded in applying a wide variety of VR renderings in urban-design projects after implementation. The developed system can create images in real time to train deep-learning algorithms, can also be applied to landscape analysis and contribute to advanced user experience.
keywords	Super-smart society; Virtual Reality; Segmentation; Deep-learning; Landscape simulation; Shader
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:50

_id	caadria2019_663
id	caadria2019_663
authors	Gaudilliere, Nadja
year	2019
title	Towards an History of Computational Tools in Automated Architectural Design - The Seroussi Pavilion Competition as a Case Study
doi	https://doi.org/10.52842/conf.caadria.2019.2.581
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. 581-590
summary	The present research proposes a method to analyse computational tools at the architect's disposal and the potential technical bias they induce in architectural design. Six case studies will be used as a demonstration of the method's ability to highlight those biases and how architects and designers manipulate those tools to translate their architectural expertise into algorithmic design. Those case studies are the six answers to the Seroussi Pavilion competition, organized in 2007 by Natalie Seroussi, a Parisian gallery owner. Having a keen interest into computational design, she invited six architectural practices specializing in this field. As the six case studies answer the same design brief, it represents a particularly suitable opportunity to analyse the intricate relationship between architectural constraints, their translation into computational data and instructions and the programming tools used to do so. Through the analysis of four different aspects of the project - algorithmic tools/method, computational set-up, organizational chart and architectural design - several issues of the computational turn in architecture are discussed.
keywords	digital heritage; computational design tools; architectural constraints; programming-based spatial design; Seroussi pavilion competition
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_176
id	ecaadesigradi2019_176
authors	Giantini, Guilherme, Negris de Souza, Larissa, Turczyn, Daniel and Celani, Gabriela
year	2019
title	Environmental Ceramics - Merging the digital and the physical in the design of a performance -based facade system
doi	https://doi.org/10.52842/conf.ecaade.2019.2.749
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 749-758
summary	Environmental comfort and space occupancy are essential considerations in architectural design process. Façade systems deeply impact both aspects but are usually standardized. However, performance-based facade systems tackle these issues through computational design to devise non-homogeneous elements. This work proposes a ceramic facade system designed according to a performance-based process grounded on environmental analysis and parametric design to allow adaptation and geometric variation according to specific building demands on environmental comfort and functionality. In this process, the Design Science Research method guided the exploration of both design and evaluation, bridging the gap between theory and practice. Positive facade environmental performance were found from digital and physical models assessment in terms of radiation, illuminance, dampness (with ventilation) and temperature. Computational processes minimized radiation inside the building while maximized illuminance. Their association influenced on operative temperature, which dropped according to local dampness and material absorption. Accordingly, this design process associates not only environmental comfort and functionality concepts but also adaptability, flexibility, mass customization, personal fabrication, additive manufacturing concepts, being an example architectural design changes in the 4th Industrial Revolution.
keywords	sustainable design; facade system; computational design; environmental analysis; evolutionary algorithm
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	caadria2019_223
id	caadria2019_223
authors	Han, Yunsong, Pan, Yongjie, Zhao, Tianyu, Wang, Chunxing and Sun, Cheng
year	2019
title	Use of UAV Photogrammetry to Estimate the Solar Energy Potential of Residential Buildings in Severe Cold Region
doi	https://doi.org/10.52842/conf.caadria.2019.2.613
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. 613-622
summary	In this paper, a method based on UAV photogrammetry is proposed to estimate the solar energy potential of the building surface. This methodology goes from the acquired aerial images captured by the camera mounted on UAV. 3D model of the urban context in study area was extracted from the aerial images using SFM and MVS algorithms, which could be directly applied to the Ladybug plugin as analysis objects. Estimates of solar radiation are expressed by means of data visualization. The results showed that the UAV photogrammetry could demonstrate the geometry and texture of residential buildings precisely and the solar radiation simulation results showed significant spatial and temporal variations in solar radiation on residential buildings.
keywords	Residential buildings; UAV photogrammetry; 3D reconstruction; Solar energy potential; Severe cold region
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2019_091
id	caadria2019_091
authors	Ilha Pereira, Bianca
year	2019
title	Master Planning with Urban Algorithms - Urban parameters, optimization and scenarios
doi	https://doi.org/10.52842/conf.caadria.2019.2.051
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. 51-60
summary	The analogue definition of studies on urban planning can be very time consuming in the top-down process of designing. Keeping in mind the rapid urbanization we had in Brazil, and the continuous migration to the capital of the country located in Federal District, our aim is to use digital aid models that could be flexible and make quicker responses to urban issues. Algorithms as finite sequences of instructions have broad application. Designing cities demands the interpretation of variables linked to the territory and takes into account the current legislation in order to develop urban plans. This research creates an algorithmic basis using GrasshopperÂ® to propose a mathematical solution for interpreting the existing space, and from it, to model urban scenes. The territorial analysis uses the user's perspective, with the interpretation of pre-existing characteristics, such as main roads, function and equipment distributions that make up the basic services. It is based on parameters extracted from theoretical repertoire and community facilities optimization through Galapagos evolutionary solver to deliver different proposed scenarios.
keywords	urban algorithms; master planning; Grasshopper; Galapagos; Federal District
series	CAADRIA
email
last changed	2022/06/07 07:49

_id	caadria2019_651
id	caadria2019_651
authors	Imani, Marzieh, Sayah, Iman, Vale, Brenda and Donn, Michael
year	2019
title	An Innovative, Hierarchical Energy Performance Data Visualization for Facilitating Recognition of Thermal Issues
doi	https://doi.org/10.52842/conf.caadria.2019.1.815
source	M. Haeusler, M. A. Schnabel, T. Fukuda (eds.), Intelligent & Informed - Proceedings of the 24th CAADRIA Conference - Volume 1, Victoria University of Wellington, Wellington, New Zealand, 15-18 April 2019, pp. 815-824
summary	This paper discusses the characteristics of and relationships between the most common building energy performance tools for simulating and visualising the thermal behaviour of buildings at the early stage of building design. The necessity for the latter and the importance of using relevant tools in practice are discussed. By highlighting existing gaps in these tools, a complementary component has been suggested that could assist building scientists in evaluating energy simulation results. The proposed energy performance data visualisation (EPDV) component is an under-development plugin (SlowLoris) that is intended to be added to the existing Grasshopper add-ons. This EPDV component provides users with simultaneous but different visualisation styles of monthly energy reports for individual floors and thermal zones. As an example, this paper uses a 2-storey building model to show the applicability of the plugin to analysis of energy simulation results.
keywords	Building energy simulation; Data visualization; Energy performance analysis
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	ecaadesigradi2019_114
id	ecaadesigradi2019_114
authors	Lee, Gyueun and Lee, Ji-hyun
year	2019
title	Sustainable Design Framework for the Anthropocene - Preliminary research of integrating the urban data with building information
doi	https://doi.org/10.52842/conf.ecaade.2019.2.561
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 561-568
summary	In terms of the efficiency and informatization in the architecture and construction industry, the Fourth Industrial Revolution presents positive aspects of technological development, but we need to discuss the expanded concept, the Anthropocene. The era of the human-made environment having a powerful influence on the global system is called Anthropocene. Since the 1950s, many indicators representing human activity and earth system have shown the 'Great acceleration'. Currently, lots of urban data including building information, construction waste, and GHG emission ratio is indicating how much the urban area was contaminated with artifacts. So, the integrated planning and design approach are needed for sustainable design with data integration. This paper examines the GIS, LCA and BIM tools focusing on building information and environmental load. With the literature review, the computational system for sustainable design is demonstrated to integrate into one holistic framework for the Anthropocene. There were some limitations that data was simplified during the statistical processing, and the framework has limitations that must be demonstrated by actual data in the future. However, this could be an early approach to integrating geospatial and environmental analysis with the design framework. And it can be applied to another urban area for sustainable urban models for the Anthropocene
keywords	Anthropocene; Sustainable Design Framework; Urban Data Analysis; GIS; LCA; BIM
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_159
id	ecaadesigradi2019_159
authors	Lopes, Jo?o, Paio, Alexandra and Beir?o, José Nuno
year	2019
title	The Morphology of Public Open Spaces as Visual Opportunity Fields - A space syntax approach based on Revelation and VGA maps customization with SalaScript
doi	https://doi.org/10.52842/conf.ecaade.2019.3.277
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 3, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 277-286
summary	This paper explores the visual dynamics of the morphology of public open spaces. Resorting to space syntax concepts, visual graph analysis (VGA), and the innovative use of its standard tool Depthmap, a set of case studies is analysed under the perspective of visual opportunity fields and building upon the established concept and metrics of Revelation. A series of related novel measures and visualizations are developed, which are only possible, in Depthmap environment, by the advanced use of its scripting language: SalaScript. Despite Depthmap being the standard tool among the space syntax community, there is a lack of references to the explicit use of SalaScript. One major objective of this paper is to illustrate, and document, its possibilities to a broad audience by extending, customizing and introducing a more interactive approach in handling VGA maps. We present SalaScript functionalities and its use in the development of visual analysis scripts that allow the study of revelation, which we then apply to a set of real public open spaces case studies.
keywords	Visibility graph analysis; Space syntax; Public open space; Depthmap SalaScript; Revelation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	caadria2019_650
id	caadria2019_650
authors	Papasotiriou, Tania
year	2019
title	Identifying the Landscape of Machine Learning-Aided Architectural Design - A Term Clustering and Scientometrics Study
doi	https://doi.org/10.52842/conf.caadria.2019.2.815
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. 815-824
summary	Recent advances in Machine Learning and Deep Learning revolutionise many industry disciplines and underpin new ways of problem-solving. This paradigm shift hasn't left Architecture unaffected. To investigate the impact on architectural design, this study utilises two approaches. First, a text mining method for content analysis is employed, to perform a robust review of the field's literature. This allows identifying and discussing current trends and possible future directions of this research domain in a systematic manner. Second, a Scientometrics study based on bibliometric reviews is employed to obtain quantitative measures of the global research activity in the described domain. Insights on research trends and identification of the most influential networks in this dataset were acquired by analysing terms co-occurrence, scientific collaborations, geographic distribution, and co-citation analysis. The paper concludes with a discussion on the limitations, opportunities and future research directions in the field of Machine Learning-aided architectural design.
keywords	Machine Learning; Text mining; Scientometrics
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	ecaadesigradi2019_568
id	ecaadesigradi2019_568
authors	Rubinowicz, Pawe³
year	2019
title	Protection of the waterfront panoramas based on computational 3D-analysis
doi	https://doi.org/10.52842/conf.ecaade.2019.2.325
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 2, University of Porto, Porto, Portugal, 11-13 September 2019, pp. 325-332
summary	The article presents the application of the Visual Protection Surface (VPS) method in protecting waterfront panoramas. The digital analysis of visual impact, which is most frequently used in urban planning, assesses the impact of new investment on the cityscape. The study presented in the article is based on a reverse approach -determining the maximum height of buildings so new facilities do not distort protected vistas in a city, vistas which are crucial for the preservation of the city's cultural identity and spatial identification. The assessment of the application is based on a case study of Gdañsk, Poland, where a 3D LiDAR model was used. The study involved the use of software developed by the author (C++). It also analyzed VPS input parameters. Conclusions can be used to assess and verify analysis findings with different software (GIS/CAD). The article shows the potential application of the VPS method in urban planning.
keywords	computational urban analyses; urban landscape protection; strategic views; tall buildings; 3D city models; VPS method
series	eCAADeSIGraDi
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last changed	2022/06/07 07:56

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