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

PDF papers
References

Hits 1 to 20 of 585

Reformat results as: short short into frame detailed detailed into frame

_id	ecaade2023_259
id	ecaade2023_259
authors	Sonne-Frederiksen, Povl Filip, Larsen, Niels Martin and Buthke, Jan
year	2023
title	Point Cloud Segmentation for Building Reuse - Construction of digital twins in early phase building reuse projects
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 2, Graz, 20-22 September 2023, pp. 327–336
doi	https://doi.org/10.52842/conf.ecaade.2023.2.327
summary	Point cloud processing has come a long way in the past years. Advances in computer vision (CV) and machine learning (ML) have enabled its automated recognition and processing. However, few of those developments have made it through to the Architecture, Engineering and Construction (AEC) industry. Here, optimizing those workflows can reduce time spent on early-phase projects, which otherwise could be spent on developing innovative design solutions. Simplifying the processing of building point cloud scans makes it more accessible and therefore, usable for design, planning and decision-making. Furthermore, automated processing can also ensure that point clouds are processed consistently and accurately, reducing the potential for human error. This work is part of a larger effort to optimize early-phase design processes to promote the reuse of vacant buildings. It focuses on technical solutions to automate the reconstruction of point clouds into a digital twin as a simplified solid 3D element model. In this paper, various ML approaches, among others KPConv Thomas et al. (2019), ShapeConv Cao et al. (2021) and Mask-RCNN He et al. (2017), are compared in their ability to apply semantic as well as instance segmentation to point clouds. Further it relies on the S3DIS Armeni et al. (2017), NYU v2 Silberman et al. (2012) and Matterport Ramakrishnan et al. (2021) data sets for training. Here, the authors aim to establish a workflow that reduces the effort for users to process their point clouds and obtain object-based models. The findings of this research show that although pure point cloud-based ML models enable a greater degree of flexibility, they incur a high computational cost. We found, that using RGB-D images for classifications and segmentation simplifies the complexity of the ML model but leads to additional requirements for the data set. These can be mitigated in the initial process of capturing the building or by extracting the depth data from the point cloud.
keywords	Point Clouds, Machine Learning, Segmentation, Reuse, Digital Twins
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaadesigradi2019_034
id	ecaadesigradi2019_034
authors	Chen, Dechen, Luo, Dan, Xu, Weiguo, Luo, Chen, Shen, Liren, Yan, Xia and Wang, Tianjun
year	2019
title	Re-perceive 3D printing with Artificial Intelligence
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. 443-450
doi	https://doi.org/10.52842/conf.ecaade.2019.1.443
summary	How can machine learning be combined with intelligent construction, material testing and other related topics to develop a new method of fabrication? This paper presents a set of experiments on the dynamic control of the heat deflection of thermoplastics in searching for a new 3D printing method with the dynamic behaviour of PLA and with a comprehensive workflow utilizing mechanic automation, computer vision, and artificial intelligence. Additionally, this paper will discuss in-depth the performance of different types of neural networks used in the research and conclude with solid data on the potential connection between the structure of neural networks and the dynamic, complex material performance we are attempting to capture.
keywords	3D printing; AI; automation; material; fabrication
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:55

_id	ecaadesigradi2019_153
id	ecaadesigradi2019_153
authors	Gomez-Zamora, Paula, Bafna, Sonit, Zimring, Craig, Do, Ellen and Romero Vega, Mario
year	2019
title	Spatiotemporal Occupancy for Building Analytics
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. 111-120
doi	https://doi.org/10.52842/conf.ecaade.2019.2.111
summary	Numerous studies on Space Syntax and Evidence-based Design explored occupancy and movements in the built environment using traditional methods for behavior mapping, such as observation and surveys. This approach, however, has majorly focused on studying such behaviors as aggregated results -totals or averages- to corroborate the idea that people's interactions are outcomes of the influence of space. The research presented in this paper focuses on capturing human occupancy with a high spatiotemporal data resolution of 1 sq.ft per second (0.1 sq.mt./s). This research adapts computer vision to obtain large occupancy datasets in a hospitalization setting for one week, providing opportunities to explore correlations among spatial configurations, architectural programs, organizational activities planned and unplanned, and time. The vision is to develop new analytics for building occupancy dynamics, with the purpose of endorsing the integration of a temporal dimension into architectural research. This study introduces the "Isovist-minute"; a metric that captures the relationship between space and occupancy, towards a point of interest, in a dynamic sequence.
keywords	Spatiotemporal Occupancy; Occupancy Analytics; Occupancy Patterns; Building-Organizational Performance; Healthcare Settings
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_117
id	ecaadesigradi2019_117
authors	Kido, Daiki, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2019
title	Development of a Semantic Segmentation System for Dynamic Occlusion Handling in Mixed Reality for Landscape Simulation
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. 641-648
doi	https://doi.org/10.52842/conf.ecaade.2019.1.641
summary	The use of mixed reality (MR) for landscape simulation has attracted attention recently. MR can produce a realistic landscape simulation by merging a three-dimensional computer graphic (3DCG) model of a new building on a real space. One challenge with MR that remains to be tackled is occlusion. Properly handling occlusion is important for the understanding of the spatial relationship between physical and virtual objects. When the occlusion targets move or the target's shape changes, depth-based methods using a special camera have been applied for dynamic occlusion handling. However, these methods have a limitation of the distance to obtain depth information and are unsuitable for outdoor landscape simulation. This study focuses on a dynamic occlusion handling method for MR-based landscape simulation. We developed a real-time semantic segmentation system to perform dynamic occlusion handling. We designed this system for use in mobile devices with client-server communication for real-time semantic segmentation processing in mobile devices. Additionally, we used a normal monocular camera for practice use.
keywords	Mixed Reality; Dynamic occlusion handling; Semantic segmentation; Deep learning; Landscape simulation
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	ecaadesigradi2019_602
id	ecaadesigradi2019_602
authors	Toulkeridou, Varvara
year	2019
title	Steps towards AI augmented parametric modeling systems for supporting design exploration
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. 81-90
doi	https://doi.org/10.52842/conf.ecaade.2019.1.081
summary	Dataflow parametric modeling environments have become popular as exploratory tools due to them allowing the variational exploration of a design by controlling the parameters of its parametric model schema. However, the nature of these systems requires designers to prematurely commit to a structure and hierarchy of geometric relationships, which makes them inflexible when it comes to design exploration that requires topological changes to the parametric modeling graph. This paper is a first step towards augmenting parametric modeling systems via the use of machine learning for assisting the user towards topological exploration. In particular, this paper describes an approach where Long Short-Term Memory recurrent neural networks, trained on a data set of parametric modeling graphs, are used as generative systems for suggesting alternative dataflow graph paths to the parametric model under development.
keywords	design exploration; visual programming; machine learning
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:58

_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	cf2019_020
id	cf2019_020
authors	Belém, Catarina; Luís Santos and António Leitão
year	2019
title	On the Impact of Machine Learning: Architecture without Architects?
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 148-167
summary	Architecture has always followed and adopted technological breakthroughs of other areas. As a case in point, in the last decades, the field of computation changed the face of architectural practice. Considering the recent breakthroughs of Machine Learning (ML), it is expectable to see architecture adopting ML-based approaches. However, it is not yet clear how much this adoption will change the architectural practice and in order to forecast this change it is necessary to understand the foundations of ML and its impact in other fields of human activity. This paper discusses important ML techniques and areas where they were successfully applied. Based on those examples, this paper forecast hypothetical uses of ML in the realm of building design. In particular, we examine ML approaches in conceptualization, algorithmization, modeling, and optimization tasks. In the end, we conjecture potential applications of such approaches, suggest future lines of research, and speculate on the future face of the architectural profession.
keywords	Machine Learning, Algorithmic Design, AI for Building Design
series	CAAD Futures
type	normal paper
email
last changed	2019/07/29 14:54

_id	ecaadesigradi2019_319
id	ecaadesigradi2019_319
authors	Hemmerling, Marco
year	2019
title	TransDigital - A cooperative educational project between architecture and crafts
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. 341-348
doi	https://doi.org/10.52842/conf.ecaade.2019.1.341
summary	Even though the computer acts as an effective interface for the cooperation of various actors involved in the construction, the success of a project depends crucially on the socio-cultural characteristics and disciplinary boundary conditions of the people involved. In addition to the technological challenges of digitisation, different working methods, requirements and objectives often represent an obstacle to the successful cooperation and execution of architectural projects. This is where we as a university are challenged to point out new ways that are geared to the future requirements of our professions and, as it were, integrate individual professional profiles. Against this background, the cooperative education project brought together architecture students and trainees in the carpentry trade in order to help them gain an understanding for their respective differing approaches and for their own expertise at an early stage in training, and thus experience the added value of a cooperative working method. The teaching of digital design and planning methods as well as the use of computer-aided production technologies were the vehicles for networked cooperation and integrative learning.
keywords	cooperative learning; interdisciplinary collaboration; architecture curriculum; digital design and fabrication
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:49

_id	acadia19_664
id	acadia19_664
authors	Koshelyuk, Daniil; Talaei, Ardeshir; Garivani, Soroush; Markopoulou, Areti; Chronis, Angelo; Leon, David Andres; Krenmuller, Raimund
year	2019
title	Alive
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. 664-673
doi	https://doi.org/10.52842/conf.acadia.2019.664
summary	In the context of data-driven culture, built space still maintains low responsiveness and adaptability. Part of this reality lies in the low resolution of live information we have about the behavior and condition of surfaces and materials. This research addresses this issue by exploring the development of a deformation-sensing composite membrane material system following a bottom-up approach and combining various technologies toward solving related technical issues—exploring conductivity properties of graphene and maximizing utilization within an architecture-related proof-of-concept scenario and a workflow including design, fabrication, and application methodology. Introduced simulation of intended deformation helps optimize the pattern of graphene nanoplatelets (GNP) to maximize membrane sensitivity to a specific deformation type while minimizing material usage. Research explores various substrate materials and graphene incorporation methods with initial geometric exploration. Finally, research introduces data collection and machine learning techniques to train recognition of certain types of deformation (single point touch) on resistance changes. The final prototype demonstrates stable and symmetric readings of resistance in a static state and, after training, exhibits an 88% prediction accuracy of membrane shape on a labeled sample data-set through a pre-trained neural network. The proposed framework consisting of a simulation based, graphene-capturing fabrication method on stretchable surfaces, and includes initial exploration in neural network training shape detection, which combined, demonstrate an advanced approach to embedding intelligence.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_051
id	ecaadesigradi2019_051
authors	Stojanovic, Vladeta, Trapp, Matthias, Richter, Rico, Hagedorn, Benjamin and Döllner, Jürgen
year	2019
title	Semantic Enrichment of Indoor Point Clouds - An Overview of Progress towards Digital Twinning
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. 809-818
doi	https://doi.org/10.52842/conf.ecaade.2019.2.809
summary	This paper presents an approach towards the development of a service-oriented platform for semantic enrichment of indoor point clouds. It mainly focuses on integrated methods for the capture of as-is 3D point clouds using commodity mobile hardware, classification of point cloud clusters using a multiview-based method, geometric reconstruction of room boundaries, interactive 3D visualization, sensor data visualization, and tracking of spatial changes and user annotations via a secure ledger. Implementing the methods in a prototypical web-based application, we demonstrate our approach for the semantic enrichment of indoor point clouds and the generation of base data for Digital Twin representation.
keywords	Digital Twin; Indoor Point Cloud; Semantic Enrichment; Real Estate 4.0
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:56

_id	cf2019_009
id	cf2019_009
authors	Veloso, Pedro; Jinmo Rhee and Ramesh Krishnamurti
year	2019
title	Multi-agent space planning: a literature review (2008-2017)
source	Ji-Hyun Lee (Eds.) "Hello, Culture!" [18th International Conference, CAAD Futures 2019, Proceedings / ISBN 978-89-89453-05-5] Daejeon, Korea, pp. 52-74
summary	In this paper we review the research on multi-agent space planning (MASP) during the period of 2008-2017. By MASP, we refer to space planning (SP) methods based on online mobile agents that map local perceptions to actions in the environment, generating spatial representation. We group two precedents and sixteen recent MASP prototypes into three categories: (1) agents as moving spatial units, (2) agents that occupy a space, and (3) agents that partition a space. In order to compare the prototypes, we identify the occurrence of features in terms of representation, objectives, and control procedures. Upon analysis of occurrences and correlations of features in the types, we present gaps and challenges for future MASP research. We point to the limits of current systems to solve spatial conflicts and to incorporate architectural knowledge. Finally, we suggest that behavioral learning offers a promising path for robust and autonomous MASP systems in the architectural domain.
keywords	Space planning; Agent-based modeling; Multi-agent systems; Generative systems
series	CAAD Futures
email
last changed	2019/07/29 14:08

_id	acadia19_338
id	acadia19_338
authors	Aviv, Dorit; Houchois, Nicholas; Meggers, Forrest
year	2019
title	Thermal Reality Capture
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. 338-345
doi	https://doi.org/10.52842/conf.acadia.2019.338
summary	Architectural surfaces constantly emit radiant heat fluxes to their surroundings, a phenomenon that is wholly dependent on their geometry and material properties. Therefore, the capacity of 3D scanning techniques to capture the geometry of building surfaces should be extended to sense and capture the surfaces’ thermal behavior in real time. We present an innovative sensor, SMART (Spherical-Motion Average Radiant Temperature Sensor), which captures the thermal characteristics of the built environment by coupling laser geometry scanning with infrared surface temperature detection. Its novelty lies in the combination of the two sensor technologies into an analytical device for radiant temperature mapping. With a sensor-based dynamic thermal-surface model, it is possible to achieve representation and control over one of the major factors affecting human comfort. The results for a case-study of a 3D thermal scan conducted in the recently completed Lewis Center for the Arts at Princeton University are compared with simulation results based on a detailed BIM model of the same space.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:54

_id	ecaadesigradi2019_449
id	ecaadesigradi2019_449
authors	Becerra Santacruz, Axel
year	2019
title	The Architecture of ScarCity Game - The craft and the digital as an alternative design process
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. 45-52
doi	https://doi.org/10.52842/conf.ecaade.2019.3.045
summary	The Architecture of ScarCity Game is a board game used as a pedagogical tool that challenges architecture students by involving them in a series of experimental design sessions to understand the design process of scarcity and the actual relation between the craft and the digital. This means "pragmatic delivery processes and material constraints, where the exchange between the artisan of handmade, representing local skills and technology of the digitally conceived is explored" (Huang 2013). The game focuses on understanding the different variables of the crafted design process of traditional communities under conditions of scarcity (Michel and Bevan 1992). This requires first analyzing the spatial environmental model of interaction, available human and natural resources, and the dynamic relationship of these variables in a digital era. In the first stage (Pre-Agency), the game set the concept of the craft by limiting students design exploration from a minimum possible perspective developing locally available resources and techniques. The key elements of the design process of traditional knowledge communities have to be identified (Preez 1984). In other words, this stage is driven by limited resources + chance + contingency. In the second stage (Post-Agency) students taking the architects´ role within this communities, have to speculate and explore the interface between the craft (local knowledge and low technological tools), and the digital represented by computation data, new technologies available and construction. This means the introduction of strategy + opportunity + chance as part of the design process. In this sense, the game has a life beyond its mechanics. This other life challenges the participants to exploit the possibilities of breaking the actual boundaries of design. The result is a tool to challenge conventional methods of teaching and leaning controlling a prescribed design process. It confronts the rules that professionals in this field take for granted. The game simulates a 'fake' reality by exploring in different ways with surveyed information. As a result, participants do not have anything 'real' to lose. Instead, they have all the freedom to innovate and be creative.
keywords	Global south, scarcity, low tech, digital-craft, design process and innovation by challenge.
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:54

_id	caadria2019_367
id	caadria2019_367
authors	Forren, James
year	2019
title	Intelligent Systems and Mass Production of Form - Tacit and Explicit Information in Dynamic Concrete Molds
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. 705-714
doi	https://doi.org/10.52842/conf.caadria.2019.2.705
summary	This paper constructs a lexicon of tacit intentionalities around tools and materials in computational design and fabrication contexts through a close study of dynamic molds. Drawing on historical, theoretical, and practice-based research we develop methods for reading, teaching, and designing with intelligence in computational design contexts in concert with the tacit information provided by tools and materials.
keywords	Material computation; Dynamic mold; Human-technology interaction; Precast concrete technology
series	CAADRIA
email
last changed	2022/06/07 07:51

_id	ecaadesigradi2019_671
id	ecaadesigradi2019_671
authors	Jabi, Wassim, Chatzivasileiadi, Aikaterini, Wardhana, Nicholas Mario, Lannon, Simon and Aish, Robert
year	2019
title	The synergy of non-manifold topology and reinforcement learning for fire egress
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. 85-94
doi	https://doi.org/10.52842/conf.ecaade.2019.2.085
summary	This paper illustrates the synergy of non-manifold topology (NMT) and a branch of artificial intelligence and machine learning (ML) called reinforcement learning (RL) in the context of evaluating fire egress in the early design stages. One of the important tasks in building design is to provide a reliable system for the evacuation of the users in emergency situations. Therefore, one of the motivations of this research is to provide a framework for architects and engineers to better design buildings at the conceptual design stage, regarding the necessary provisions in emergency situations. This paper presents two experiments using different state models within a simplified game-like environment for fire egress with each experiment investigating using one vs. three fire exits. The experiments provide a proof-of-concept of the effectiveness of integrating RL, graphs, and non-manifold topology within a visual data flow programming environment. The results indicate that artificial intelligence, machine learning, and RL show promise in simulating dynamic situations as in fire evacuations without the need for advanced and time-consuming simulations.
keywords	Non-manifold topology; Topologic; Reinforcement Learning; Fire egress
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:52

_id	caadria2019_298
id	caadria2019_298
authors	Karoji, Gen, Hotta, Kensuke, Hotta, Akito and Ikeda, Yasushi
year	2019
title	Pedestrian Dynamic Behaviour Modeling - An application to commercial environment using RNN framework
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. 281-290
doi	https://doi.org/10.52842/conf.caadria.2019.1.281
summary	The research of developing and improving pedestrian simulation model is essential in the process of analysing, evaluating and generating the architectural spaces that can not only satisfy circulation design condition but also promote sales by attracting customers. In terms of programming the simulation for commercial environment, current study attempts to use shortest-path algorithm generally and these results suggested that the model can reproduce approximate real trajectory within given environment. However, these studies also mentioned about necessity of considering shopper internal state and visual field. In this paper, in order to further incorporate the dynamic internal state (memory) into simulation model, we propose using iterative algorithm based on recurrent neural network (RNN) framework which allow it to exhibit temporal dynamic behaviour for a time sequence. Finally, we demonstrate the effectiveness of these algorithms we introduce and assess the combination of multiple algorithms and calibration of probability by comparing with trajectories of the experiment.
keywords	Pedestrian simulation; Algorithm; RNN; Commercial environment
series	CAADRIA
email
last changed	2022/06/07 07:52

_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
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
doi	https://doi.org/10.52842/conf.caadria.2019.2.633
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_557
id	ecaadesigradi2019_557
authors	Manríquez, Carla and Sills, Pablo
year	2019
title	Evaluation of the energy performance of stilt houses (palafitos) of the Chiloé Island. The role of dynamic thermal simulation on heritage architecture.
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. 159-168
doi	https://doi.org/10.52842/conf.ecaade.2019.3.159
summary	The stilt houses on Chiloé Island, Chile, traditionally built in local timber, are currently in poor conditions and lack of maintenance that contributes on a very poor thermal performance.To carry out interventions and inform decision making to intervene on such unique pieces of cultural heritage in fragile conditions, a computerized dynamic thermal simulation tool (software DesignBuilder®) is used to understand and assess the energy performance of these typology of houses, identifying their annual energy losses, and determining their current annual heating demand of ten case studies.The current annual heating demand of the stilt houses is high, due to the thermal transmittance values of the building envelopes. They exceed in five times the value recommended by Chilean Building Code for the climatic zone under study. Especially critical are heat losses through the ventilated floor (external floor under DesignBuilder® template) and air infiltration, which on average contributed to 30.5% and 28.85% of all energy loss, respectively. According to simulations for ventilated floor, walls, and roofs, the obtained performance could be improved to 65% with thermal reconditioning and measures to enhance airtightness, although the feasibility of such interventions without damaging the heritage houses needs to be carefully considered.
keywords	Vernacular Dwellings; Stilt Houses; Energy Simulation; Thermal Envelope
series	eCAADeSIGraDi
email
last changed	2022/06/07 07:59

_id	acadia19_422
id	acadia19_422
authors	Morse, Christopher; Soulos, Foteinos
year	2019
title	Interactive Facade Detail Design Reviews with the VR Scope Box
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. 422-429
doi	https://doi.org/10.52842/conf.acadia.2019.422
summary	We present the development of the VR Scope Box as an example of the potential for Virtual Reality to enhance the design process as an interactive medium. The opportunities afforded designers by virtual environments should not be limited to simple immersive visualization. The VR scope box is shown to able to visualize details in 3-dimensional space at a 1:1 scale with accurate material representations. This visualization is not restricted to a single typical example detail, but rather allows for the dynamic exploration of the entire facade system. At the same time, the building exterior as a whole is also visible, to allow for a simultaneous understanding of the connections and the consequences of those details on the building as a whole. Additionally, we discuss the importance of user experience on the usability and adoption of new tools within architectural design reviews and the advantages of developing such tools in-house.
series	ACADIA
type	normal paper
email
last changed	2022/06/07 07:58

_id	lasg_whitepapers_2019_207
id	lasg_whitepapers_2019_207
authors	Navab, Nima; and Desiree Foerster
year	2019
title	Affective Atmospheres; Ambient Feedback Ecology
source	Living Architecture Systems Group White Papers 2019 [ISBN 978-1-988366-18-0] Riverside Architectural Press: Toronto, Canada 2019. pp.207 - 220
summary	Encompassing a series of experiments with atmospheric scenography the following paper maps out the relationships between different materials and energetic flows as part of a spatial design. These investigations emanate from the basis that poetic relationships between material and immaterial processes can induce new meaning to the ways we inhabit our environment. In diffusing the boundaries between states of matter in the environment and the perceiver, the unfolding atmospheric processes enacted here function as perceptual amplifiers for transformations on scales that are usually not sensually accessible. The focus shifts from the concrete to the in-between. The visualization and enaction of flows that make up our surroundings suggest a greater involvement of oneself with the environment.1 Through these experiments we demonstrate 1) how spatial continuity can be achieved in relating attributes of dynamic behavior of water, vapor, air, sound, and light to significances in space; 2) that the indifferent role of the human perceiver is challenged in making their impact and responsiveness to the environment part of the spatial composition itself; and 3) how the expressive qualities of atmospheric variables can be used to experience layers of meaning in spaces, that are usually not comprehensible (such as ecological dimensions of water use).
keywords	living architecture systems group, organicism, intelligent systems, design methods, engineering and art, new media art, interactive art, dissipative systems, technology, cognition, responsiveness, biomaterials, artificial natures, 4DSOUND, materials, virtual projections,
email
last changed	2019/07/29 14:02

For more results click below: