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	acadia18_156
id	acadia18_156
authors	Huang, Weixin; Zheng, Hao
year	2018
title	Architectural Drawings Recognition and Generation through Machine Learning
doi	https://doi.org/10.52842/conf.acadia.2018.156
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 156-165
summary	With the development of information technology, the ideas of programming and mass calculation were introduced into the design field, resulting in the growth of computer- aided design. With the idea of designing by data, we began to manipulate data directly, and interpret data through design works. Machine Learning as a decision making tool has been widely used in many fields. It can be used to analyze large amounts of data and predict future changes. Generative Adversarial Network (GAN) is a model framework in machine learning. It’s specially designed to learn and generate output data with similar or identical characteristics. Pix2pixHD is a modified version of GAN that learns image data in pairs and generates new images based on the input. The author applied pix2pixHD in recognizing and generating architectural drawings, marking rooms with different colors and then generating apartment plans through two convolutional neural networks. Next, in order to understand how these networks work, the author analyzed their framework, and provided an explanation of the three working principles of the networks, convolution layer, residual network layer and deconvolution layer. Lastly, in order to visualize the networks in architectural drawings, the author derived data from different layer and different training epochs, and visualized the findings as gray scale images. It was found that the features of the architectural plan drawings have been gradually learned and stored as parameters in the networks. As the networks get deeper and the training epoch increases, the features in the graph become more concise and clearer. This phenomenon may be inspiring in understanding the designing behavior of humans.
keywords	full paper, design study, generative design, ai + machine learning, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:49

_id	caadria2019_665
id	caadria2019_665
authors	Jin, Jinxi, Han, Li, Chai, Hua, Zhang, Xiao and Yuan, Philip F.
year	2019
title	Digital Design and Construction of Lightweight Steel-Timber Composite Gridshell for Large-Span Roof - A Practice of Steel-timber Composite Gridshell in Venue B for 2018 West Bund World AI Conference
doi	https://doi.org/10.52842/conf.caadria.2019.1.183
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. 183-192
summary	Timber gridshell is an efficient structural system. However, the feature of double curved surface result in limitation of practical application of timber gridshell. Digital technology provides an opportunity to break this limitation and achieve a lightweight free-form gridshell. In the practice of Venue B for 2018 West Bund World AI Conference, architects and structural engineers cooperated to explore innovative design of lightweight steel-timber composite gridshell with the help of digital tools. Setting digital technology as support and restrains of the project as motivation, the design tried to achieve the realization of material, structure, construction and spatial expression. The digital design and construction process will be discussed from four aspects, including form-finding of gridshell surface, steel-timber composite design, digital detailed design and model-based fabrication and construction. We focuses on the use of digital tools in this process, as well as the role of the design subject.
keywords	Timber Gridshell; Steel-timber Composite; Digital Design and Construction; Lightweight Structure; Large-span Roof
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	acadia18_166
id	acadia18_166
authors	Kvochick, Tyler
year	2018
title	Sneaky Spatial Segmentation. Reading Architectural Drawings with Deep Neural Networks and Without Labeling Data
doi	https://doi.org/10.52842/conf.acadia.2018.166
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 166-175
summary	Currently, it is nearly impossible for an artificial neural network to generalize a task from very few examples. Humans, however, excel at this. For instance, it is not necessary for a designer to see thousands or millions of unique examples of how to place a given drawing symbol in a way that meets the economic, aesthetic, and performative goals of the project. In fact, the goals can be (and usually are) communicated abstractly in natural language. Machine learning (ML) models, however, do need numerous examples. The methods that we explore here are an attempt to circumvent this in order to make ML models more immediately useful. In this work, we present progress on the application of contemporary ML techniques to the design process in the architecture, engineering, and construction (AEC) industry. We introduce a technique to partially circumvent the data hungriness of neural networks, which is a significant impediment to their application outside of the ML research community. We also show results on the applicability of this technique to real-world drawings and present research that addresses how some fundamental attributes of drawings as images affect the way they are interpreted in deep neural networks. Our primary contribution is a technique to train a neural network to segment real-world architectural drawings after using only generated pseudodrawings.
keywords	full paper, representation + perception, computation, ai & machine learning
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	caadria2018_342
id	caadria2018_342
authors	Bhagat, Nikita, Rybkowski, Zofia, Kalantar, Negar, Dixit, Manish, Bryant, John and Mansoori, Maryam
year	2018
title	Modulating Natural Ventilation to Enhance Resilience Through Modifying Nozzle Profiles - Exploring Rapid Prototyping Through 3D-Printing
doi	https://doi.org/10.52842/conf.caadria.2018.2.185
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 185-194
summary	The study aimed to develop and test an environmentally friendly, easily deployable, and affordable solution for socio-economically challenged populations of the world. 3D-printing (additive manufacturing) was used as a rapid prototyping tool to develop and test a façade system that would modulate air velocity through modifying nozzle profiles to utilize natural cross ventilation techniques in order to improve human comfort in buildings. Constrained by seasonal weather and interior partitions which block the ability to cross ventilate, buildings can be equipped to perform at reduced energy loads and improved internal human comfort by using a façade system composed of retractable nozzles developed through this empirical research. This paper outlines the various stages of development and results obtained from physically testing different profiles of nozzle-forms that would populate the façade system. In addition to optimizing nozzle profiles, the team investigated the potential of collapsible tube systems to permit precise placement of natural ventilation directed at occupants of the built space.
keywords	Natural ventilation; Wind velocity; Rapid prototyping; 3D-printing; Nozzle profiles
series	CAADRIA
email
last changed	2022/06/07 07:52

_id	caadria2018_057
id	caadria2018_057
authors	Nandavar, Anirudh, Petzold, Frank, Nassif, Jimmy and Schubert, Gerhard
year	2018
title	Interactive Virtual Reality Tool for BIM Based on IFC - Development of OpenBIM and Game Engine Based Layout Planning Tool - A Novel Concept to Integrate BIM and VR with Bi-Directional Data Exchange
doi	https://doi.org/10.52842/conf.caadria.2018.1.453
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 453-462
summary	With recent advancements in VR (Virtual Reality) technology in the past year, it has emerged as a new paradigm in visualization and immersive HMI (Human-machine Interface). On the other hand, in the past decades, BIM (Building Information Modelling) has emerged as the new standard of implementing construction projects and is quickly becoming a norm than just a co-ordination tool in the AEC industry.Visualization of the digital data in BIM plays an important role as it is the primary communication medium to the project participants, where VR can offer a new dimension of experiencing BIM and improving the collaboration of various stakeholders of a project. There are both open source and commercial solutions to extend visualization of a BIM project in VR, but so far, there are no complete solutions that offer a pure IFC format based solution, which makes the VR integration vendor neutral. This work endeavors to develop a concept for a vendor-neutral BIM-VR integration with bi-directional data exchange in order to extend VR as a collaboration tool than a mere visualization tool in the BIM ecosystem.
keywords	BIM; VR; IFC; Unity; BIM-VR integration; HMI
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2018_228
id	caadria2018_228
authors	Newton, David
year	2018
title	Accommodating Change and Open-Ended Search in Design Optimization
doi	https://doi.org/10.52842/conf.caadria.2018.2.175
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 175-184
summary	Many real-world architectural multi-objective problems (MOPs) are dynamic and may have objectives, decision variables, and constraints that change during the optimization process. These problems are known as dynamic MOPs (DMOPs). Dynamic multi-objective evolutionary algorithms (DMOEAs) have emerged in the fields of optimization, operations research, and computer science as one way to address the challenges posed by DMOPs. DMOEAs offer new capacities for exploration and interaction with the designer, but they have not yet been studied in the field of architecture. This research addresses these issues through the development of a unique interactive DMOEA-based design tool for the conceptual design phase. We propose a new modification to the popular nondominated sorting genetic algorithm II (NSGA-II), that we call the dynamic progressive for architecture NSGA-II (DPA-NSGA-II). We show that DPA-NSGA-II outperforms NSGA-II in finding novel solutions.
keywords	algorithmic design; multi-objective optimization; evolutionary computation; parametric design; generative design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_070
id	caadria2018_070
authors	Pandjaitan, Poltak
year	2018
title	Architectonics of Crystal Space
doi	https://doi.org/10.52842/conf.caadria.2018.1.183
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 183-192
summary	The basic research project addresses the question of spatiality in architecture and how to define space by geometrically mediating between spatialities. Based on interdisciplinary explorations of crystal structures and their specific constitutions, spatial paradigms are examined and implemented in the algebraic framework of crystals. The goal of the ongoing research is not to resemble and mimic these emergent crystal arrangements. It is only about the general principle of these formation processes particularly with regard to aperiodic quasicrystals. Through the purposive abstraction and translation of spatialities combined with the notion of crystals as a code like structure, it is possible to scrutinize the meaning of space in order to create space for new architectonical articulations.
keywords	crystal; quasicrystal; lattice; aperiodic; architectonics
series	CAADRIA
email
last changed	2022/06/07 08:00

_id	caadria2018_290
id	caadria2018_290
authors	Wang, Zhenyu, Shi, Jia, Yu, Chuanfei and Gao, Guoyuan
year	2018
title	Automatic Design of Main Pedestrian Entrance of Building Site Based on Machine Learning - A Case Study of Museums in China's Urban Environment
doi	https://doi.org/10.52842/conf.caadria.2018.2.227
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 227-235
summary	The main pedestrian entrance of the building site has a direct influence on the use of the buildings, so the selection of the main pedestrian entrance is very important in the process of architectural design. The correct selection of the main pedestrian entrance of building site depends on the experience of designers and environment data collected by designers, the process is time consuming and inefficient, especially when the building site located in complex urban environment. In order to improve the efficiency of design process, we used online map to collect museums information in China as training samples, and constructing artificial neural networks to predict the direction of the main pedestrian entrance. After the training, we get the prediction model with 79% prediction accuracy. Although the accuracy still need to be improved, it creates a new approach to analysis the main pedestrian entrance of the site and worth further researching.
keywords	Artificial Neural Network (ANN); Main Pedestrian Entrance of Building Site; Automatic Design
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2018_107
id	caadria2018_107
authors	Zhu, Yuehan, Fukuda, Tomohiro and Yabuki, Nobuyoshi
year	2018
title	SLAM-Based MR with Animated CFD for Building Design Simulation
doi	https://doi.org/10.52842/conf.caadria.2018.1.391
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 391-400
summary	In advanced society, the existing building stock has huge social, economic, and environmental impact. There is a high demand for stock renovation, which gives existing buildings new lives, rather than building new ones. During the renovation process, it is necessary to simultaneously achieve architectural, facilities, structural, and environmental design in order to accomplish a healthy, comfortable, and energy-saving indoor environment, prevent delays in problem solving, and achieve a timely feedback process. This study tackled the development of an integrated system for stock renovation by considering computational fluid dynamics (CFD) and Mixed Reality (MR) in order to allow the simultaneous design of a building plan and thermal environment. The CFD analysis enables the simulation of the indoor thermal environment, including the effects of daylight and ventilation. The MR system visualizes the simulation results intuitively and makes renovation projects perform in a very efficient manner with regard to various stakeholders. In addition, a new CFD animation generation method is proposed in MR system, in order for users to consider the entirety of changes in the thermal environment.
keywords	thermal environment; computational fluid dynamics (CFD); mixed reality (MR); daylight; ventilation
series	CAADRIA
email
last changed	2022/06/07 07:57

_id	ecaade2018_231
id	ecaade2018_231
authors	Di Mascio, Danilo, Kepczynska-Walczak, Anetta, Webb, Nicholas and Schnabel, Marc Aurel
year	2018
title	A Critical Evaluation of Two Contextualised Digital Heritage Workshops - Descriptions, reflections and future directions
doi	https://doi.org/10.52842/conf.ecaade.2018.2.189
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 2, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 189-198
summary	In the following paper, a description, a comparison, a series of reflections, and future directions of two successful Contextualized Digital Heritage Workshops (CDHW) will be presented. The workshops have been organized during the eCAADe and CAADRIA conferences. The importance of architectural heritage as an expression of a local history and identity in a world that is more and more globalised is evident. Multidisciplinary and interdisciplinary approaches, together with the use of digital technologies open new opportunities in the comprehension, documentation, analysis, reuse and dissemination of architectural heritage. The main concept behind a CDHW is to connect the event (and its wide variety of participants) to a specific local context in a multidisciplinary way. The paper defines and proposes a methodology to critically evaluate the two workshops and their individual aspects in order to identify and investigate ideas that can be explored during future CDHWs.
keywords	digital heritage; workshops; context; design; collaboration
series	eCAADe
email
last changed	2022/06/07 07:55

_id	acadia18_206
id	acadia18_206
authors	Farahi, Behnaz
year	2018
title	HEART OF THE MATTER: Affective Computing in Fashion and Architecture
doi	https://doi.org/10.52842/conf.acadia.2018.206
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 206-215
summary	What if material interfaces could physically adapt to the user’s emotional state in order to develop a new affective interaction? By using emotional computing technologies to track facial expressions, material interfaces can help to regulate emotions. They can serve either as a tool for intelligence augmentation or as a means of leveraging an empathic relationship by developing an affective loop with the user. This paper explores how color- and shape-changing operations can be used as interactive design tools to convey emotional information, and is illustrated by two projects, one at the intimate scale of fashion and one at a more architectural scale. By engaging with design, art, psychology, and computer and material science, this paper envisions a world where material systems can detect the emotional responses of a user and reconfigure themselves in order to enter into a feedback loop with the user’s affective state and influence social interaction.
keywords	full paper, materials & adaptive systems, materials/adaptive systems, computation.
series	ACADIA
type	paper
email
last changed	2022/06/07 07:55

_id	ecaade2018_201
id	ecaade2018_201
authors	Mansourimajoumerd, Parinaz and Mahdavinejad, Mohammadjavad
year	2018
title	Kinetic Architecture - Reinterpreting Persian Mathematics and Astronomy
doi	https://doi.org/10.52842/conf.ecaade.2018.1.605
source	Kepczynska-Walczak, A, Bialkowski, S (eds.), Computing for a better tomorrow - Proceedings of the 36th eCAADe Conference - Volume 1, Lodz University of Technology, Lodz, Poland, 19-21 September 2018, pp. 605-612
summary	The world where humans live in, is constantly changing. In order to interact with these conditions, it is necessary for the architects to create an environment with sufficient dynamics based on the needs and behavior of its users. Kinetic architecture allows occupants to experience new environments which could cause raising the efficiency of the buildings. Therefore, constructions with kinetic elements could serve better utilitarian purposes in different fields.In the following essay, studies are about using kinetic design and fabrication method in one project despite ordinary ways regard to the two main points; 1. The impact of Khayyam's mathematics and astronomy on the proposed kinetic architecture and 2. Creating interaction Between Indigenous ideas and Contemporary Architecture in Khayyam Memorial Pavilion. As a result, a model is designed and several prototypes have been built.This essay illustrates that with making a connection among architecture and other fields of study could lead designers to be more creative according to the existing limitation in each project.
keywords	Kinetic architecture; Interactive architecture; Hyperboloid modules; Omar Khayyam
series	eCAADe
email
last changed	2022/06/07 07:59

_id	acadia18_226
id	acadia18_226
authors	Glynn, Ruairi; Abramovic, Vasilija; Overvelde, Johannes T. B.
year	2018
title	Edge of Chaos. Towards intelligent architecture through distributed control systems based on Cellular Automata.
doi	https://doi.org/10.52842/conf.acadia.2018.226
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 226-231
summary	From the “Edge of Chaos”, a mathematical space discovered by computer scientist Christopher Langton (1997), compelling behaviors originate that exhibit both degrees of organization and instability creating a continuous dance between order and chaos. This paper presents a project intended to make this complex theory tangible through an interactive installation based on metamaterial research which demonstrates emergent behavior using Cellular Automata (CA) techniques, illustrated through sound, light and motion. We present a multi-sensory narrative approach that encourages playful exploration and contemplation on perhaps the biggest questions of how life could emerge from the disorder of the universe. We argue a way of creating intelligent architecture, not through classical Artificial Intelligence (AI), but rather through Artificial Life (ALife), embracing the aesthetic emergent possibilities that can spontaneously arise from this approach. In order to make these ideas of emergent life more tangible we present this paper in four integrated parts, namely: narrative, material, hardware and computation. The Edge of Chaos installation is an explicit realization of creating emergent systems and translating them into an architectural design. Our results demonstrate the effectiveness of a custom CA for maximizing aesthetic impact while minimizing the live time of architectural kinetic elements.
keywords	work in progress, complexity, responsive architecture, distributed computing, emergence, installation, interactive architecture, cellular automata
series	ACADIA
type	paper
email
last changed	2022/06/07 07:51

_id	acadia18_186
id	acadia18_186
authors	Yin, Hao; Guo, Zhe; Zhao, Yao; Yuan, Philip F.
year	2018
title	Behavior Visualization System Based on UWB Positioning Technology
doi	https://doi.org/10.52842/conf.acadia.2018.186
source	ACADIA // 2018: Recalibration. On imprecisionand infidelity. [Proceedings of the 38th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-17729-7] Mexico City, Mexico 18-20 October, 2018, pp. 186-195
summary	This paper takes behavioral performance as a starting point and uses ultra-wideband (UWB) positioning technology and visualization methods to accurately collect and present in-place behavioral data so as to explore the behavioral characteristics of space users. In this process, we learned the observation, quantification, and presentation of behavioral data from the evolution of behavioral research. Secondly, after a comparative analysis of four types of indoor positioning technologies, we selected UWB-positioning technology and the JavaScript programming language as the development tools for a behavior visualization system. Next, we independently developed the behavior visualization system, which required a deep understanding of the working principle of UWB technology and the visualization method of the JavaScript programming language. Finally, the system was applied to an actual space, collecting and presenting users’ behavioral characteristics and habits in order to verify the applicability of the system in the field of behavioral research.
keywords	full paper, design tools, ai + machine learning, big data, behavioral performance + simulation
series	ACADIA
type	paper
email
last changed	2022/06/07 07:57

_id	caadria2018_029
id	caadria2018_029
authors	Ayoub, Mohammed
year	2018
title	Adaptive Façades:An Evaluation of Cellular Automata Controlled Dynamic Shading System Using New Hourly-Based Metrics
doi	https://doi.org/10.52842/conf.caadria.2018.2.083
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 83-92
summary	This research explores utilizing Cellular Automata patterns as climate-adaptive dynamic shading systems to mitigate the undesirable impacts by excessive solar penetration in cooling-dominant climates. The methodological procedure is realized through two main phases. The first evaluates all 256 Elementary Cellular Automata possible rules to elect the ones with good visual and random patterns, to ensure an equitable distribution of the natural daylight in internal spaces. Based on the newly developed hourly-based metrics, simulations are conducted in the second phase to evaluate the Cellular Automata controlled dynamic shadings performance, and formalize the adaptive façade variation logic that maximizes daylighting and minimizes energy demand.
keywords	Adaptive Façade; Dynamic Shading; Cellular Automata; Hourly-Based Metric; Performance Evaluation
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2018_033
id	caadria2018_033
authors	Bai, Nan and Huang, Weixin
year	2018
title	Quantitative Analysis on Architects Using Culturomics - Pattern Study of Prizker Winners Based on Google N-gram Data
doi	https://doi.org/10.52842/conf.caadria.2018.2.257
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 257-266
summary	Quantitative studies using the corpus Google Ngram, namely Culturomics, have been analyzing the implicit patterns of culture changes. Being the top-standard prize in the field of Architecture since 1979, the Pritzker Prize has been increasingly diversified in the recent years. This study intends to reveal the implicit pattern of Pritzker Winners using the method of Culturomics, based on the corpus of Google Ngram to reveal the relationship of the sign of their fame and the fact of prize-winning. 48 architects including 32 awarded and 16 promising are analyzed in the printed corpus of English language between 1900 and 2008. Multiple regression models and multiple imputation methods are used during the data processing. Self-Organizing Map is used to define clusters among the awarded and promising architects. Six main clusters are detected, forming a 3×2 network of fame patterns. Most promising architects can be told from the clustering, according to their similarity to the more typical prize winners. The method of Culturomics could expand the sight of architecture study, giving more possibilities to reveal the implicit patterns of the existing empirical world.
keywords	Culturomics; Google Ngram; Pritzker Prize; Fame Pattern; Self-Organizing Map
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	caadria2018_245
id	caadria2018_245
authors	Chowdhury, Shuva and Schnabel, Marc Aurel
year	2018
title	An Algorithmic Methodology to Predict Urban Form - An Instrument for Urban Design
doi	https://doi.org/10.52842/conf.caadria.2018.2.401
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 401-410
summary	We question the recent practices of conventional and participatory urban design approaches and offer a middle approach by exploring computational design tools in the design system. On the one hand, the top-down urban planning approaches investigate urban form as a holistic matter which only can be calibrated by urban professionals. These approaches are not able to offer enough information to the end users to predict the urban form. On the other hand, the bottom-up urban design approaches cannot visualise predicted urban scenarios, and most often the design decisions stay as general assumptions. We developed and tested a parametric design platform combines both approaches where all the stakeholders can participate and visualise multiple urban scenarios in real-time feedback. Parametric design along with CIM modelling system has influenced urban designers for a new endeavour in urban design. This paper presents a methodology to generate and visualise urban form. We present a novel decision-making platform that combines city level and local neighbourhood data to aid participatory urban design decisions. The platform allows for stakeholder collaboration and engagement in complex urban design processes.
keywords	knowledge-based system; algorithmic methodology ; design decision tool; urban form;
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_085
id	caadria2018_085
authors	Chung, Chia-Chun and Jeng, Tay-Sheng
year	2018
title	Information Extraction Methodology by Web Scraping for Smart Cities - Using Machine Learning to Train Air Quality Monitor for Smart Cities
doi	https://doi.org/10.52842/conf.caadria.2018.2.515
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 515-524
summary	This paper presents an opportunistic sensing system for air quality monitoring to forecast the implicit factors of air pollution. Opportunistic sensing is performed by web scraping in the social network service to extract information. The data source for the air quality analysis combines two types of information: explicit and implicit information. The objective is to develop the information extraction methodology by web scraping for smart cities. The application development methodology has potential for solving real-world problems such as air pollution by data comparison between social activity observing and data collecting in sensor network.
keywords	smart city; open data; web scraping; social media; machine learning
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_333
id	caadria2018_333
authors	Cupkova, Dana, Byrne, Daragh and Cascaval, Dan
year	2018
title	Sentient Concrete - Developing Embedded Thermal and Thermochromic Interactions for Architecture and Built Environment
doi	https://doi.org/10.52842/conf.caadria.2018.2.545
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 2, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 545-554
summary	Historically, architectural design focused on adaptation of built environment to serve human needs. Recently embedded computation and digital fabrication have advanced means to actuate physical infrastructure in real-time. These 'reactive spaces' have typically explored movement and media as a means to achieve reactivity and physical deformation (Chatting et al. 2017). However, here we recontextualize 'reactive' as finding new mechanisms for permanent and non-deformable everyday materials and environments. In this paper, we describe our ongoing work to create a series of complex forms - modular concrete panels - using thermal, tactile and thermochromic responses controlled by embedded networked system. We create individualized pathways to thermally actuate these surfaces and explore expressive methods to respond to the conditions around these forms - the environment, the systems that support them, their interaction and relationships to human occupants. We outline the design processes to achieve thermally adaptive concrete panels, illustrate interactive scenarios that our system enables, and discuss opportunities for new forms of interactivity within the built environment.
keywords	Responsive environments; Geometrically induced thermodynamics; Ambient devices; Internet of things; Modular electronic systems
series	CAADRIA
email
last changed	2022/06/07 07:56

_id	caadria2018_292
id	caadria2018_292
authors	Eid Mohamed, Basem, ElKaftangui, Mohamed and Zureikat, Rana
year	2018
title	{In}Formed Panels - Towards Rethinking the Precast Concrete Industry in the UAE
doi	https://doi.org/10.52842/conf.caadria.2018.1.287
source	T. Fukuda, W. Huang, P. Janssen, K. Crolla, S. Alhadidi (eds.), Learning, Adapting and Prototyping - Proceedings of the 23rd CAADRIA Conference - Volume 1, Tsinghua University, Beijing, China, 17-19 May 2018, pp. 287-296
summary	The convergence of digital design and fabrication technologies have offered architects and designers the means by which to develop customized architectural artifacts, ones that goes beyond the standards of "one size fits all". Such applications have been applied extensively in various architectural practices, and specifically in the realm of industrialized building production, given that they present a suitable model. Although unrecognized within standard precast concrete production, current research acknowledges the need for advanced computer applications for shifting the industry into a digitized process. This paper represent a critical phase of an ongoing research endeavor that aims at rethinking the precast concrete production in the UAE, and MENA region for housing typologies. The project explores possibilities of a new protocol that is focused from design to production, relying on performative design strategies, and possible optimized for large format 3D printing of concrete elements. The aim is to develop an integrated façade panels system that is tailored for design and production; an approach that goes beyond current industry practices.
keywords	Precast Concrete; Industrialized Construction; Evolutionary Design; Optimization
series	CAADRIA
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last changed	2022/06/07 07:55

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