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	ecaade2024_222
id	ecaade2024_222
authors	Bindreiter, Stefan; Sisman, Yosun; Forster, Julia
year	2024
title	Visualise Energy Saving Potentials in Settlement Development: By linking transport and energy simulation models for municipal planning
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 2, pp. 79–88
doi	https://doi.org/10.52842/conf.ecaade.2024.2.079
summary	To achieve Sustainable Development Goals, in addition to the switch to sustainable energy sources and energy-efficient buildings, transport offers a major lever for reducing energy consumption and greenhouse gases. The increasing demand for emission-free mobility (e.g. through electromobility) but also heat pumps has a direct impact on the electricity consumption of buildings and settlements. It is still difficult to simulate the effects and interactions of different measures as sector coupling concepts require comprehensible tools for ex ante evaluation of planning measures at the community level and the linking of domain-specific models (energy, transport). Using the municipality of Bruck an der Leitha (Austria) as an example, a digital twin based on an open data model (Bednar et al., 2020) is created for the development of methods, which can be used to simulate measures to improve the settlement structure within the municipality. Forecast models for mobility (Schmaus, 2019; Ritz, 2019) and the building stock are developed or applied and linked via the open data model to be able to run through development scenarios and variants. The forecasting and visualisation options created in the project form the basis for the ex-ante evaluation of measures and policies on the way to a Positive-Energy-District. By identifying and collecting missing data, data gaps are filled for the simulation of precise models in the specific study area. A digital, interactive 3D model is created to examine the forecast results and the different scenarios.
keywords	visualisation, decision support, sector coupling, holistic spatial energy models for municipal planning, (energy) saving potentials in settlement development
series	eCAADe
email
last changed	2024/11/17 22:05

_id	sigradi2020_392
id	sigradi2020_392
authors	Fialho, Beatriz Campos; Codinhoto, Ricardo; Fabricio, Márcio Minto
year	2020
title	BIM and IoT for the AEC Industry: A systematic literature mapping
source	SIGraDi 2020 [Proceedings of the 24th Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Online Conference 18 - 20 November 2020, pp. 392-399
summary	The AEC industry has been facing a digital transformation for improving services involved in buildings lifecycle, fostered by two disruptive technologies: Building Information Modelling (BIM) and Internet of Things (IoT). However, the literature lacks discussions regarding applications and challenges of BIM and IoT systems in the AEC. This Systematic Literature Mapping addresses this gap through search, analysis, and classification of 75 journal article abstracts published between 2015 and 2019. An increase of articles over the period is observed, predominantly with technical and processual solutions for Construction and Operation and Maintenance. The interoperability of data is a key challenge to organizations.
keywords	Building Information Modelling, Internet of Things, Integration, Network, Smart Cities
series	SIGraDi
email
last changed	2021/07/16 11:49

_id	caadria2019_406
id	caadria2019_406
authors	Fitriawijaya, Adam, Hsin-Hsuan, Tsai and Taysheng, jeng
year	2019
title	A Blockchain Approach to Supply Chain Management in a BIM-Enabled Environment
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. 411-420
doi	https://doi.org/10.52842/conf.caadria.2019.2.411
summary	The blockchain is a distributed ledger managed by a peer to peer network that stores all transaction records. The distributed ledger technology offers new possibilities, promising to ensure that data is secure, decentralized and incomparable. In the Architecture, Engineering, Construction (AEC) industry, Building Information Modeling (BIM) has quickly become a standard platform where all parties work together on a single and shared model for collaboration. The issues of Supply Chain Management (SCM) within BIM can be identified in BIM maturity level, based on PAS1193 that developed through Common Data Environment (CDE). The research strategy is to make model and simulation of SCM using BIM and create CDE to become decentralized and integrate the blockchain technology. The smart contract system validates every material and configuration of components within the model from the design stage until the operation stage. Traceability and auditability through an immutable historic eventually be more visible and allow real-time tracking of a material to a construction site providing a history from the origin.
keywords	Blockchain; BIM; Supply Chain
series	CAADRIA
email
last changed	2022/06/07 07:51

_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
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
doi	https://doi.org/10.52842/conf.caadria.2019.1.815
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	caadria2019_109
id	caadria2019_109
authors	Kim, Jinsung, Song, Jaeyeol and Lee, Jin-Kook
year	2019
title	Approach to Auto-recognition of Design Elements for the Intelligent Management of Interior Pictures
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. 785-794
doi	https://doi.org/10.52842/conf.caadria.2019.2.785
summary	This paper explores automated recognition of elements in interior design pictures for an intelligent design reference management system. Precedent design references have a significant role to help architects, designer and even clients in general architecture design process. Pictures are one of the representation that could exactly show a kind of design idea and knowledge. Due to the velocity, variety and volume of reference pictures data with growth of references platform, it is hard and time-consuming to handle the data with current manual way. To solve this problem , this paper depicts a deep learning-based approach to figuring out design elements and recognizing the design feature of them on the interior pictures using faster-RCNN and CNN algorithms. The targets are the residential furniture such as a table and a seating. Through proposed application, input pictures can automatically have tagging data as follows; seating1(type: sofa, seating capacity: two-seaters, design style: classic)
keywords	Interior design picture; Design element; Design feature; Automated recognition; Design Reference management
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2019_345
id	caadria2019_345
authors	Marschall, Max and Burry, Jane
year	2019
title	Can the Use of Stochastic Models of Occupants' Environmental Control Behavior Influence Architectural Design Outcomes? - How field data can influence design outcomes
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. 715-724
doi	https://doi.org/10.52842/conf.caadria.2019.1.715
summary	Thermal comfort research has shown that natural ventilation can reduce energy consumption while increasing comfort. However, giving occupants control over their environment introduces uncertainty into building performance which is challenging to emulate using current simulation techniques. Traditionally, window operation is modelled deterministically, for instance by assuming windows to be opened at a predefined temperature. Studies have shown this to be inaccurate, often causing large discrepancies between simulated and actual performance; instead, probabilistic models have emerged based on field study data. The literature on this topic is currently limited to building science and lacks an analysis of how these insights may affect architecture. In a design study, we used evolutionary computation to determine comfort-optimized housing designs for various climates, each time comparing the results of both window operation models. The resulting designs varied considerably; most notably, using the stochastic approach resulted in more shading elements, especially in warmer climates.
keywords	window operation model; stochastic; natural ventilation; thermal comfort; occupant behavior
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
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
doi	https://doi.org/10.52842/conf.ecaade.2019.2.153
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	caadria2019_610
id	caadria2019_610
authors	Sayah, Iman and Schnabel, Marc Aurel
year	2019
title	Amplifying Citizens' Voices in Smart Cities - An Application of Social Media Sentiment Analysis in Urban Sciences
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. 773-782
doi	https://doi.org/10.52842/conf.caadria.2019.2.773
summary	In the past decade, urban researchers have paid significant attention to the emergence of computer science and urban planning. According to the literature, social media as a pool of real-time citizen feedback can be investigated to inform smart city synergies. However, the success factors of such an approach have not been thoroughly investigated. In this study, various factors were derived from an extensive literature review to create an efficient e-participation platform. It is explained how our proposed platform 1) complies to the data protection regulations 2) uses advanced text analysis and natural language processing (NLP) tools to identify opinions and emotions 3) maintains persistent communication between citizens and city planners 4) incorporates creative visualisation techniques 5) is informative for its target audience 6) takes into consideration the socio-cultural diversity and 7) can be used as an informing tool in combination with offline methods of participation.
keywords	sentiment analysis; e-participation; social media mining; big data analytics; citizen engagement
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	acadia19_60
id	acadia19_60
authors	Yousif, Shermeen; Yan, Wei
year	2019
title	Application of an Automatic Shape Clustering Method
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. 60-69
doi	https://doi.org/10.52842/conf.acadia.2019.060
summary	Despite their prevalence and extensive applications, generative and design optimization systems lack effective organizational methods of the excessive number of design options they produce, which is problematic for designers’ interaction. Ideally, a diverse and organized set of designs can mediate successful designers’ evaluation and exploration of the design space. Cluster analysis, a big-data management strategy, offers a solution. Yet, there is a need for investigating appropriate methods for applying cluster-analysis to a dataset of geometric shapes. Therefore, we have recently developed and published a new approach, the Shape Clustering using K-Medoids (SC-KM) method as an articulation mechanism in generative systems. The method involves shape description, shape difference measure calculation, and implementation of the K-Medoids clustering algorithm. The focus of this work is on incorporating the method into a generative system with parametric building shape generation and design optimization. The method organizes a dataset of shapes into clusters where shapes within the cluster share similarities yet differ from other clusters, and each cluster is signified by one representative shape. The SC-KM method contributes to an organized design presentation and facilitates designers’ examination of their designs’ geometric qualities.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:57

_id	ecaadesigradi2019_318
id	ecaadesigradi2019_318
authors	Al Bondakji, Louna, Lammich, Anne-Liese and Werner, Liss C.
year	2019
title	ViBe (Virtual Berlin) - Immersive Interactive 3D Urban Data Visualization - Immersive interactive 3D urban data visualization
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. 83-90
doi	https://doi.org/10.52842/conf.ecaade.2019.3.083
summary	The project investigates the possibility of visualizing open source data in a 3D interactive virtual environment. We propose a new tool, 'ViBe'. We programmed 'ViBe' using Unity for its compatibility with HTC VIVE glasses for virtual reality (VR). ViBe offers an abstract visualization of open source data in a 3D interactive environment. The ViBe environment entails three main topics a) inhabitants, b) environmental factors, and c) land-use; acting as representatives of parameters for cities and urban design. Berlin serves as a case study. The data sets used are divided according to Berlin's twelve administrative districts. The user immerses into the virtual environment where they can choose, using the HTC Vive controllers, which district (or Berlin as a whole) they want information for and which topics they want to be visualized, and they can also teleport back and forth between the different districts. The goal of this project is to represent different urban parameters an abstract simulation where we correlate the corresponding data sets. By experiencing the city through visualized data, ViBe aims to provide the user with a clearer perspective onto the city and the relationship between its urban parameters. ViBe is designed for adults and kids, urban planners, politicians and real estate developers alike.
keywords	3D-Visualization; open source data; immersive virtual reality; interactive ; Unity
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	caadria2019_005
id	caadria2019_005
authors	Alva, Pradeep, Janssen, Patrick and Stouffs, Rudi
year	2019
title	A Spatial Decision Support Framework For Planning - Creating Tool-Chains for Organisational Teams
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. 11-20
doi	https://doi.org/10.52842/conf.caadria.2019.2.011
summary	In practice, most planners do not make significant use of planning support systems. Although significant research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this paper focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams within an organisation, with varying skill sets and objectives. In the proposed framework, the core decision-making process uses set decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing tool-chains for a real-world land suitability case study. The tool-chain was implemented on top of a GIS platform.
keywords	GIS SDSS PSS; Planning Automation; Geoprocessing; Data Analytics; Geoinformatics
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	ijac201917403
id	ijac201917403
authors	Alva, Pradeep; Patrick Janssen and Rudi Stouffs
year	2019
title	Geospatial tool-chains: Planning support systems for organisational teams
source	International Journal of Architectural Computing vol. 17 - no. 4, 336-356
summary	In practice, most planners do not make significant use of planning support systems. Although extensive research has been conducted, the focus tends to be on supporting individual tasks, and the outcomes are often the development of new stand-alone tools that are difficult to integrate into existing workflows. The knowledge contribution in this article focuses on developing a novel spatial decision support framework focusing on the workflows and tool-chains that span across different teams with varying skill sets and objectives, within an organisation. In the proposed framework, the core decision-making process uses a set of decision parameters that are combined using a weighted decision tree. The framework is evaluated by developing and testing a workflow and GIS tool-chain for a real-world case study of land suitability and mixed-use potentiality analysis.
keywords	GIS, SDSS, PSS, planning automation, TOD, raster geoprocessing, data analytics, geoinformatics
series	journal
email
last changed	2020/11/02 13:34

_id	ecaade2021_203
id	ecaade2021_203
authors	Arora, Hardik, Bielski, Jessica, Eisenstadt, Viktor, Langenhan, Christoph, Ziegler, Christoph, Althoff, Klaus-Dieter and Dengel, Andreas
year	2021
title	Consistency Checker - An automatic constraint-based evaluator for housing spatial configurations
source	Stojakovic, V and Tepavcevic, B (eds.), Towards a new, configurable architecture - Proceedings of the 39th eCAADe Conference - Volume 2, University of Novi Sad, Novi Sad, Serbia, 8-10 September 2021, pp. 351-358
doi	https://doi.org/10.52842/conf.ecaade.2021.2.351
summary	The gradual rise of artificial intelligence (AI) and its increasing visibility among many research disciplines affected Computer-Aided Architectural Design (CAAD). Architectural deep learning (DL) approaches are being developed and published on a regular basis, such as retrieval (Sharma et al. 2017) or design style manipulation (Newton 2019; Silvestre et al. 2016). However, there seems to be no method to evaluate highly constrained spatial configurations for specific architectural domains (such as housing or office buildings) based on basic architectural principles and everyday practices. This paper introduces an automatic constraint-based consistency checker to evaluate the coherency of semantic spatial configurations of housing construction using a small set of design principles to evaluate our DL approaches. The consistency checker informs about the overall performance of a spatial configuration followed by whether it is open/closed and the constraints it didn't satisfy. This paper deals with the relation of spaces processed as mathematically formalized graphs contrary to existing model checking software like Solibri.
keywords	model checking, building information modeling, deep learning, data quality
series	eCAADe
email
last changed	2022/06/07 07:54

_id	caadria2019_074
id	caadria2019_074
authors	Bai, Nan and Wang, Lu
year	2019
title	Village Heritage Conservation in the New Data Age - Rural Information Modelling in the Context of Rural Vitalization in China
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. 41-50
doi	https://doi.org/10.52842/conf.caadria.2019.2.041
summary	Rural Vitalization being a nation-wide policy for China in the following five years, it is becoming even more important to preserve and conserve the village heritage, especially with the global background of Information and Communication Technology (ICT) involvement. This research reviews on the existing and potential methods which has been or could be used to better understand the rural built environment in the new data age, and proposes an interactive message platform named Rural Information Modelling (RIM) which could collect, storage, analyze and display the various message concerning the village heritage, especially the morphological, cognitive and behavioural information. With the help of RIM, stakeholders can better interact with the rural environment, and better negotiate with each other, leading to a more objective and rational construction process, which could express the willingness of both the outside architects, urban planners and visitors, and the in situ villagers and government.
keywords	rural vitalization; heritage conservation; ICT; Rural Information Modelling
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	acadia19_278
id	acadia19_278
authors	Ca?izares, Galo
year	2019
title	Digital Suprematism
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
doi	https://doi.org/10.52842/conf.acadia.2019.278
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	caadria2020_093
id	caadria2020_093
authors	Cerovsek, Tomo and Martens, Bob
year	2020
title	The Evolution of CAADRIA Conferences - A Bibliometric Approach
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
doi	https://doi.org/10.52842/conf.caadria.2020.1.325
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	caadria2019_452
id	caadria2019_452
authors	Choi, Minkyu, Yi, Taeha, Kim, Meereh and Lee, Ji-Hyun
year	2019
title	Land Price Prediction System Using Case-based Reasoning
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. 767-774
doi	https://doi.org/10.52842/conf.caadria.2019.1.767
summary	Real estate price prediction is very complex process. Big data and machine learning technology have been introduced in many research areas, and they are also making such an attempt in the real estate market. Although real estate price forecasting studies is actively conducted, using support vector machine, machine learning algorithm, AHP method, and so on, validity and accuracy are still not reliable.In this research, we propose a Case-Based Reasoning system using regression analysis to allocate weight of attributes. This proposed system can support to predict the real estate price based on collecting public data and easily update the knowledge about real estate. Since the result shows error rate less than 30% through the experiment, this algorithm gives better performance than previous one. By this research, it is possible for help decision-makers to expect the real estate price of interested area.
keywords	Artificial intelligence; Case-based reasoning; Land price prediction; Regression
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	ecaade2023_138
id	ecaade2023_138
authors	Crolla, Kristof and Wong, Nichol
year	2023
title	Catenary Wooden Roof Structures: Precedent knowledge for future algorithmic design and construction optimisation
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 611–620
doi	https://doi.org/10.52842/conf.ecaade.2023.1.611
summary	The timber industry is expanding, including construction wood product applications such as glue-laminated wood products (R. Sikkema et al., 2023). To boost further utilisation of engineered wood products in architecture, further development and optimisation of related tectonic systems is required. Integration of digital design technologies in this endeavour presents opportunities for a more performative and spatially diverse architecture production, even in construction contexts typified by limited means and/or resources. This paper reports on historic precedent case study research that informs an ongoing larger study focussing on novel algorithmic methods for the design and production of lightweight, large-span, catenary glulam roof structures. Given their structural operation in full tension, catenary-based roof structures substantially reduce material needs when compared with those relying on straight beams (Wong and Crolla, 2019). Yet, the manufacture of their non-standard geometries typically requires costly bespoke hardware setups, having resulted in recent projects trending away from the more spatially engaging geometric experiments of the second half of the 20th century. The study hypothesis that the evolutionary design optimisation of this tectonic system has the potential to re-open and expand its practically available design solution space. This paper covers the review of a range of built projects employing catenary glulam roof system, starting from seminal historic precedents like the Festival Hall for the Swiss National Exhibition EXPO 1964 (A. Lozeron, Swiss, 1964) and the Wilkhahn Pavilions (Frei Otto, Germany, 1987), to contemporary examples, including the Grandview Heights Aquatic Centre (HCMA Architecture + Design, Canada, 2016). It analysis their structural concept, geometric and spatial complexity, fabrication and assembly protocols, applied construction detailing solutions, and more, with as aim to identify methods, tools, techniques, and construction details that can be taken forward in future research aimed at minimising construction complexity. Findings from this precedent study form the basis for the evolutionary-algorithmic design and construction method development that is part of the larger study. By expanding the tectonic system’s practically applicable architecture design solution space and facilitating architects’ access to a low-tech producible, spatially versatile, lightweight, eco-friendly, wooden roof structure typology, this study contributes to environmentally sustainable building.
keywords	Precedent Studies, Light-weight architecture, Timber shell, Catenary, Algorithmic Optimisation, Glue-laminated timber
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaadesigradi2019_475
id	ecaadesigradi2019_475
authors	Düring, Serjoscha, Sluka, Andrej, Vesely, Ondrej and König, Reinhard
year	2019
title	Applied Spatial Accessibility Analysis for Urban Design - An integrated graph-gravity model implemented in Grasshopper
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. 333-342
doi	https://doi.org/10.52842/conf.ecaade.2019.3.333
summary	This paper introduces a prototype for a user-friendly, responsive toolbox for spatial accessibility analysis in data-poor environments to support urban design processes. It allows for real-time computation of several evaluation indicators, mostly focused on accessibility related measures. The proposed framework is exemplified with three real-world case studies. Each of them demonstrates one part of the workflow; data gathering and preparation, sketching and developing scenarios, and impact analysis and scenario comparison.
keywords	accessibility; urban design; evidence-based design; graph model; gravity model
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	cf2019_014
id	cf2019_014
authors	Ferrando, Cecilia; Niccolo Dalmasso, Jiawei Mai, Daniel Cardoso Llach
year	2019
title	Architectural Distant Reading Using Machine Learning to Identify Typological Traits Across Multiple Buildings
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 114-127
summary	This paper introduces an approach to architectural “distant reading”: the use of computational methods to analyze architectural data in order to derive spatial insights from—and explore new questions concerning—large collections of architectural work. Through a case study comprising a dataset of religious buildings, we show how we may use machine learning techniques to identify typological and functional traits from building plans. We find that spatial structure, rather than local features, is particularly effective in supporting this type of analysis. Further, we speculate on the potential of this computational method to enrich architectural design, research, and criticism by, for example, enabling new ways of thinking about architectural concepts such as typology in ways that reflect gradual variations, rather than sharp distinctions.
keywords	Architectural Analytics, Machine Learning, Classification, Religious buildings, Space Syntax
series	CAAD Futures
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last changed	2019/07/29 14:08

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