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	acadia17_474
id	acadia17_474
authors	Peng, Wenzhe; Zhang, Fan; Nagakura, Takehiko
year	2017
title	Machines’ Perception of Space: Employing 3D Isovist Methods and a Convolutional Neural Network in Architectural Space Classification
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 474- 481
doi	https://doi.org/10.52842/conf.acadia.2017.474
summary	Simple and common architectural elements can be combined to create complex spaces. Different spatial compositions of elements define different spatial boundaries, and each produces a unique local spatial experience to observers inside the space. Therefore an architectural style brings about a distinct spatial experience. While multiple representation methods are practiced in the field of architecture, there lacks a compelling way to capture and identify spatial experiences. Describing an observer’s spatial experiences quantitatively and efficiently is a challenge. In this paper, we propose a method that employs 3D isovist methods and a convolutional neural network (CNN) to achieve recognition of local spatial compositions. The case studies conducted validate that this methodology works well in capturing and identifying local spatial conditions, illustrates the pattern and frequency of their appearance in designs, and indicates peculiar spatial experiences embedded in an architectural style. The case study used small designs by Mies van der Rohe and Aldo van Eyck. The contribution of this paper is threefold. First, it introduces a sampling method based on 3D Isovist that generates a 2D image that can be used to represent a 3D space from a specific observation point. Second, it employs a CNN model to extract features from the sampled images, then classifies their corresponding space. Third, it demonstrates a few case studies where this space classification method is applied to different architectural styles.
keywords	design methods; information processing; AI; machine learning; computer vision; representation
series	ACADIA
email
last changed	2022/06/07 08:00

_id	ecaade2017_041
id	ecaade2017_041
authors	Fukuda, Tomohiro, Kuwamuro, Yasuyuki and Yabuki, Nobuyoshi
year	2017
title	Optical Integrity of Diminished Reality Using Deep Learning
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 1, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 241-250
doi	https://doi.org/10.52842/conf.ecaade.2017.1.241
summary	A new method is proposed to improve diminished reality (DR) simulations to allow the demolition and removal of entire buildings in large-scale spaces. Our research goal was to obtain optical integrity by using a scientific and reliable simulation approach. Further, we tackled presumption of the texture of the background sky by applying deep learning. Our approach extracted the background sky using information from the actual sky obtained from a photographed image. This method comprised two steps: (1) detection of the sky area from the image through image segmentation and (2) creation of an image of the sky through image inpainting. The deep convolutional neural networks developed by us to train and predict images were evaluated to be feasible and effective.
keywords	Diminished Reality; Optical Integrity; Deep Learning; Augmented Reality; Landscape assessment
series	eCAADe
email
last changed	2022/06/07 07:50

_id	acadia17_552
id	acadia17_552
authors	Sjoberg, Christian; Beorkrem, Christopher; Ellinger, Jefferson
year	2017
title	Emergent Syntax: Machine Learning for the Curation of Design Solution Space
source	ACADIA 2017: DISCIPLINES & DISRUPTION [Proceedings of the 37th Annual Conference of the Association for Computer Aided Design in Architecture (ACADIA) ISBN 978-0-692-96506-1] Cambridge, MA 2-4 November, 2017), pp. 552- 561
doi	https://doi.org/10.52842/conf.acadia.2017.552
summary	The expanding role of computational models in the process of design is producing exponential growth in parameter spaces. As designers, we must create and implement new methods for searching these parameter spaces, considering not only quantitative optimization metrics but also qualitative features. This paper proposes a methodology that leverages the pattern modeling properties of artificial neural networks to capture designers' inexplicit selection criteria and create user-selection-based fitness functions for a genetic solver. Through emulation of learned selection patterns, fitness functions based on trained networks provide a method for qualitative evaluation of designs in the context of a given population. The application of genetic solvers for the generation of new populations based on the trained network selections creates emergent high-density clusters in the parameter space, allowing for the identification of solutions that satisfy the designer’s inexplicit criteria. The results of an initial user study show that even with small numbers of training objects, a search tool with this configuration can begin to emulate the design criteria of the user who trained it.
keywords	design methods; information processing; AI; machine learning; generative system
series	ACADIA
email
last changed	2022/06/07 07:56

_id	ecaade2017_009
id	ecaade2017_009
authors	Takizawa, Atsushi and Furuta, Airi
year	2017
title	3D Spatial Analysis Method with First-Person Viewpoint by Deep Convolutional Neural Network with Omnidirectional RGB and Depth Images
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 693-702
doi	https://doi.org/10.52842/conf.ecaade.2017.2.693
summary	The fields of architecture and urban planning widely apply spatial analysis based on images. However, many features can influence the spatial conditions, not all of which can be explicitly defined. In this research, we propose a new deep learning framework for extracting spatial features without explicitly specifying them and use these features for spatial analysis and prediction. As a first step, we establish a deep convolution neural network (DCNN) learning problem with omnidirectional images that include depth images as well as ordinary RGB images. We then use these images as explanatory variables in a game engine to predict a subjects' preference regarding a virtual urban space. DCNNs learn the relationship between the evaluation result and the omnidirectional camera images and we confirm the prediction accuracy of the verification data.
keywords	Space evaluation; deep convolutional neural network; omnidirectional image; depth image; Unity; virtual reality
series	eCAADe
email
last changed	2022/06/07 07:56

_id	ijac201715301
id	ijac201715301
authors	Afsari, Kereshmeh; Charles Eastman and Dennis Shelden
year	2017
title	Building Information Modeling data interoperability for Cloud-based collaboration: Limitations and opportunities
source	International Journal of Architectural Computing vol. 15 - no. 3, 187-202
summary	Collaboration within Building Information Modeling process is mainly based on the manual transfer of document files in either vendor-specific formats or neutral format using Industry Foundation Classes. However, since the web enables Cloud-based Building Information Modeling services, it provides an opportunity to exchange data with web technologies. Alternative data sharing solutions include the federation of Building Information Modeling models and an interchange hub for data exchange in real time. These solutions face several challenges, are vendor locked, and integrate Building Information Modeling applications to a third new system. The main objective of this article is to investigate current limitations as well as opportunities of Cloud interoperability to outline a framework for a loosely coupled network-based Building Information Modeling data interoperability. This study explains that Cloud-Building Information Modeling data exchange needs to deploy major components of Cloud interoperability such as Cloud application programming interfaces, data transfer protocols, data formats, and standardization to redefine Building Information Modeling data flow in Cloud-based applications and to reshape collaboration process.
keywords	Building Information Modeling, Cloud, data exchange, interoperability, Industry Foundation Classes
series	journal
email
last changed	2019/08/07 14:03

_id	caadria2021_354
id	caadria2021_354
authors	Huang, Chenyu, Gong, Pixin, Ding, Rui, Qu, Shuyu and Yang, Xin
year	2021
title	Comprehensive analysis of the vitality of urban central activities zone based on multi-source data - Case studies of Lujiazui and other sub-districts in Shanghai CAZ
source	A. Globa, J. van Ameijde, A. Fingrut, N. Kim, T.T.S. Lo (eds.), PROJECTIONS - Proceedings of the 26th CAADRIA Conference - Volume 2, The Chinese University of Hong Kong and Online, Hong Kong, 29 March - 1 April 2021, pp. 549-558
doi	https://doi.org/10.52842/conf.caadria.2021.2.549
summary	With the use of the concept Central Activities Zone in the Shanghai City Master Plan (2017-2035) to replace the traditional concept of Central Business District, core areas such as Shanghai Lujiazui will be given more connotations in the future construction and development. In the context of todays continuous urbanization and high-speed capital flow, how to identify the development status and vitality characteristics is a prerequisite for creating a high-quality Central Activities Zone. Taking Shanghai Lujiazui sub-district etc. as an example, the vitality value of weekday and weekend as well as 19 indexes including density of functional facilities and building morphology is quantified by obtaining multi-source big data. Meanwhile, the correlation between various indexes and the vitality characteristics of the Central Activities Zone are tried to summarize in this paper. Finally, a neural network regression model is built to bridge the design scheme and vitality values to realize the prediction of the vitality of the Central Activities Zone. The data analysis method proposed in this paper is versatile and efficient, and can be well integrated into the urban big data platform and the City Information Modeling, and provides reliable reference suggestions for the real-time evaluation of future urban construction.
keywords	multi-source big data; Central Activities Zone; Vitality; Lujiazui
series	CAADRIA
email
last changed	2022/06/07 07:50

_id	caadria2018_322
id	caadria2018_322
authors	Lu, Hangxin, Gu, Jiaxi, Li, Jin, Lu, Yao, Müller, Johannes, Wei, Wenwen and Schmitt, Gerhard
year	2018
title	Evaluating Urban Design Ideas from Citizens from Crowdsourcing and Participatory Design
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. 297-306
doi	https://doi.org/10.52842/conf.caadria.2018.2.297
summary	Participatory planning aims at engaging multiple stakeholders including citizens in various stages of planning projects. Adopting participatory design approach in the early stage of planning project facilitates the ideation process of citizens. We have implemented a participatory design study during the 2017 Beijing Design Week and have conducted an interactive design project called "Design your perfect Dashilar: You Place it!". Participants including local residents and visitors were asked to redesign the Yangmeizhu street, a historical street located in Dashilar area by rearranging the buildings of residential, commercial, administration, and cultural functionalities. Apart from using digital design tools, questionnaires, interviews, and sensor network were applied to collect personal preferences data. Computational approaches were used to extract features from designs and personal preferences. In this paper, we illustrate the implementation of the participatory design and the possible applications by combining with crowdsourcing. Participatory design data and citizens profiles with personal preferences were analysed and their correlations were computed. By using crowdsourcing and participatory design, this study shows that the digitalization of participatory design with data science perspective can indicate the implicit requirements, needs and design ideas of citizens.
keywords	Participatory design; Crowdsourcing; Human computation; Citizen Design Science; Human Computer Interaction
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	caadria2017_058
id	caadria2017_058
authors	Miao, Yufan, Koenig, Reinhard, Buš, Peter, Chang, Mei-Chih, Chirkin, Artem and Treyer, Lukas
year	2017
title	Empowering Urban Design Prototyping - A Case Study in Cape Town with Interactive Computational Synthesis Methods
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 407-416
doi	https://doi.org/10.52842/conf.caadria.2017.407
summary	Although Cape Town city in South Africa is generally regarded as the most stable and prosperous city in the region, there are still approximately 7.5 million people living in informal settlements and about 2.5 million housing units are needed. This motivates the so-called Empower Shack project, aiming to develop upgrading strategies for these informal settlements. To facilitate the fulfillment of this project, urban design prototyping tools are researched and developed with the capabilities for fast urban design synthesis. In this paper we present a computational method for fast interactive synthesis of urban planning prototypes. For the generation of mock-up urban layouts, one hierarchical slicing structure, namely, the slicing tree is introduced to abstractly represent the parcels, as an extension of the existing generative method for street network. It has been proved that our methods can interactively assist the urban planning process in practice. However, the slicing tree data structure has several limitations that hinder the further improvement of the generated urban layouts. In the future, the development of a new data structure is required to fulfill urban synthesis for urban layout generation with Evolutionary Multi-objective Optimization methods and evaluation strategies should be developed to verify the generated results.
series	CAADRIA
email
last changed	2022/06/07 07:58

_id	caadria2017_129
id	caadria2017_129
authors	Patt, Trevor Ryan
year	2017
title	Toward Temporal and Punctual Urban Redevelopment in Dynamic, Informal Contexts - An Adaptive Masterplan Driven by Architectural Interventions Using Multiagent Modeling
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 221-230
doi	https://doi.org/10.52842/conf.caadria.2017.221
summary	This paper presents design research speculating on new planning approaches for informal urban sites that enables coordinated planning to operate within the realm of spontaneous, bottom-up redevelopment. In opposition to the /tabula rasa/ Modernist development, this project reacts to the dynamic metabolism of the village and engages with the rapid turnover of the built environment of the village as a mechanism through which to implement incremental redevelopment. A radical reorientation of the object of masterplanning, this replaces the singular image or document as the guiding authority with a collection of opportunistic adaptations, temporal sequences, and localized procedures. Enabling this approach is a computational approach that analyzes the morphology of the public space network to identify opportunities to address issues in the composition of the village. A multiagent system driven by weighted random walks through the circulation network conducts local analyses of the urban fabric while changes are made and proposes potential modifications to discrete areas. The model simulates the potential for such a planning tool to be used over a long time span and updated with empirically gathered data, having the benefit of flexibility and resilience in the face of the changing and unregulated conditions in the context of informal urbanism.
keywords	generative design; responsive masterplanning; informal urbanism; network analysis; agent-based modeling
series	CAADRIA
email
last changed	2022/06/07 07:59

_id	cf2017_321
id	cf2017_321
authors	Rossini, Francesco Livio; Novembri, Gabriele; Fioravanti, Antonio
year	2017
title	AS&BIM – A Unified Model of Agent Swarm and BIM to Manage the Complexity of the Building Process
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 321-332.
summary	Analyzing the success rate of the building process, it emerges that it is an industrial sector that lacks efficiency. Nevertheless, during decades the trend was to compare and bring into contact manufacturing management procedures vis-?-vis the building industry. But, whilst a manufacturing product is essentially a standard object produced in a controlled environment, a building is a prototype in itself. To bridge this gap research on Artificial Intelligence was conducted, so as to move from the traditional trial-and-error process to the simulation approach, defining in a virtual environment results of design and management choices before the real application, thus mitigating risks. To attain these results, a prototype was developed based on the Hybrid Actor Agent approach. The Agents, governed by their rules, behaviors and goals, define actions while Actors manage communication among them. The Network intertwined among these Agent/Actor systems is capable of stratifying knowledge based on the success rate of the choices made. The result of these concurrent computations is an optimized building process flow-chart
keywords	Artificial Intelligence, Project Management, Building Information Modeling
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_147
id	caadria2017_147
authors	Agirachman, Fauzan Alfi, Ozawa, Yo, Indraprastha, Aswin, Shinozaki, Michihiko, Sitompul, Irene Debora Meilisa, Nuraeni, Ruri, Chirstanti, Augustine Nathania, Putra, Andrew Cokro and Zefanya, Teresa
year	2017
title	Reimagining Braga - Remodeling Bandung's Historical Colonial Streetscape in Virtual Reality
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 23-32
doi	https://doi.org/10.52842/conf.caadria.2017.023
summary	This paper presents the experience of the first phase of remodeling existing historical and colonial district in Bandung, Indonesia, including existing building façade, streetscape and street furniture. Braga Street is chosen as study case because it is a well-known historical street in Bandung with art deco style buildings constructed during Dutch colonial era. By remodeling it, it could help stakeholders to evaluate existing Braga street condition, to test any modification of buildings along the street and to determine specific regulation for the street. In this case, we use Unity3D and Oculus Rift DK2 for remodeling current situation. We gathered feedback from respondents using a questionnaire given after they experienced the model in VR. Many lessons learned from modeling process and respondents' feedback: higher frame rate to make seamless VR experience by having all components on a low poly model and provide smoother movement to prevent visual discomfort. This paper's conclusion gives suggestions for anyone who want to start architecture modeling in virtual reality for the very first time and how to optimize it.
keywords	Virtual reality; historical building; digital reconstruction; streetscape
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	cf2017_249
id	cf2017_249
authors	Agirbas, Asli
year	2017
title	Teaching Design by Coding in Architecture Undergraduate Education: A Case Study with Islamic Patterns
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 249-258.
summary	Computer-aided design has found its role in the undergraduate education of architects, and presently design by coding is also gradually finding further prominence in accord with the increasing demand by students who wish to learn more about this topic. This subject is included in an integrated manner in some studio courses on architecture design in some schools, or it is taught separately in elsewhere. In terms of the separate course on coding, the principal difficulty is that actual applications of the method can rarely be included due to time limitations and the fact that it is conducted separately from the studio course on architecture. However, within the framework of the architectural education, in order to learn about the coding it is necessary to consider it along with the design process, and this versatile thinking can only be achieved by the application of the design. In this study, an elective undergraduate course is considered in the context of design and to yield a versatile thinking strategy while learning the language of visual programming. The course progressed under the theoretical framework of shape grammar from the design stage through to the digital fabrication process, and the experimental studies were carried out on the selected topic of Islamic pattern. A method was proposed to improve the productivity of such courses, and an evaluation of the results is presented.
keywords	Islamic Patterns, Shape Grammars, Architectural Education, Parametric Design, CAAD.
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	caadria2017_115
id	caadria2017_115
authors	Araullo, Rebekah and Haeusler, M. Hank
year	2017
title	Asymmetrical Double-Notch Connection System in Planar Reciprocal Frame Structures
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 539-548
doi	https://doi.org/10.52842/conf.caadria.2017.539
summary	Reciprocal Frame Structures (RF) have broad application potentials. Flexible to using small available materials, they span large areas, including varied curvature and doubly-curved forms. Although not many buildings using RF have been constructed to date, records indicate RF efficiencies where timber was widely used in structures predating modern construction. For reasons of adaptability and economy, advances in computation and fabrication precipitated increase in research into RF structures as a contemporary architectural typology. One can observe that linear timber such as rods and bars feature in extensive RF research. However, interest in planar RF has only recently emerged in research. Hence one can argue that planar RF provides depth to explore new design possibilities. This paper contributes to the growing knowledge of planar RF by presenting a design project that demonstrates an approach in notching systems to explore design and structural performance. The design project, the developed design workflow, fabrication, assembly and evaluation are discussed in this paper.
keywords	Reciprocal Frame Structures; Space Frames; Computational Design; Digital Fabrication; Deployable Architecture
series	CAADRIA
email
last changed	2022/06/07 07:54

_id	sigradi2017_063
id	sigradi2017_063
authors	Augusto de Andrade, Raphael; Raphael Augusto de Andrade, Fernando Tadeu de Araújo Lima
year	2017
title	O projeto integrado e o processo de projeto em BIM - aplicação e normas brasileiras [The integrated project and the design process in BIM - Brazilian application and standards]
source	SIGraDi 2017 [Proceedings of the 21th Conference of the Iberoamerican Society of Digital Graphics - ISBN: 978-956-227-439-5] Chile, Concepción 22 - 24 November 2017, pp.429-433
summary	The advent of BIM in the AECO industry brings with it profound transformations in the design process. These changes are necessary to meet the requirements of the current project market and make the traditional design process into an integrated design process. Although the advantages obtained from this practice, new job functions and standardization of communication must be embraced to ensure its success. This work presents the conception of the integrated project in BIM with its practices related to the PDP and identifies the evolution of the norms of aid to the realization of projects in BIM in Brazil.
series	SIGRADI
email
last changed	2021/03/28 19:58

_id	ecaade2017_101
id	ecaade2017_101
authors	Ayoub, Mohammed and Wissa, Magdi
year	2017
title	Daylight Optimization - A Parametric Study of Urban Façades Design within Hybrid Settlements in Hot-Desert Climate
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 193-202
doi	https://doi.org/10.52842/conf.ecaade.2017.2.193
summary	Unprecedented growth of hybrid settlements causes deterioration to the indoor environmental quality. Due to their narrow street-networks and fully packed urban fabric, lower floors are subjected to severe overshadow condition, which has adverse effects on the health of the inhabitants. This paper aims to investigate techniques to mitigate the under-lit indoor environment for a group of buildings with variable heights and orientations, with regard to the urban façades parameters. It reflects an intervention in an existing hybrid settlements, within hot-desert climate, to alter façades configurations for daylight optimization, and ultimately recover the lost indoor quality of users in such contexts.
keywords	Daylight Optimization; Urban Façade; Simulation; Hybrid Settlements ; Parametric Design
series	eCAADe
email
last changed	2022/06/07 07:54

_id	cf2017_337
id	cf2017_337
authors	Barber, Gabriela; Lafluf, Marcos; Amen, Fernando Garcia; Accuosto, Pablo
year	2017
title	Interactive Projection Mapping in Heritage: The Anglo Case
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 337-348.
summary	This work is the outcome of a multidisciplinary collaboration in the context of the VidiaLab (Laboratorio de Visualización Digital Avanzada). It proposes an application of interactive video mapping techniques as a form of experiencing the Fray Bentos industrial landscape, declared as a World Heritage Site by UNESCO in 2015. An immersive environment was created by enriching a physical scale model of the site with projected digital images and information, providing new and attractive ways of interaction with the cultural heritage. Proposals for future work and educational applications of the developed tools are also discussed.
keywords	Video Mapping, New Media Art, Heritage, Museum, Human-Computer Interaction
series	CAAD Futures
email
last changed	2017/12/01 14:38

_id	ecaade2017_155
id	ecaade2017_155
authors	Beir?o, José Nuno and de Klerk, Rui
year	2017
title	CIM-St - A Design Grammar for Street Cross Sections
source	Fioravanti, A, Cursi, S, Elahmar, S, Gargaro, S, Loffreda, G, Novembri, G, Trento, A (eds.), ShoCK! - Sharing Computational Knowledge! - Proceedings of the 35th eCAADe Conference - Volume 2, Sapienza University of Rome, Rome, Italy, 20-22 September 2017, pp. 619-628
doi	https://doi.org/10.52842/conf.ecaade.2017.2.619
summary	The design of streets plays an essential role in shaping the quality of our cities. In particular, the design of a street's cross section determines in many aspects the realm of its use, enhancing or reducing its ability for being walkable streets or traffic oriented streets. This paper shows a street cross section design interface where designs are controlled by an ontology and a parametric design system supported by a shape grammar. The ontology provides a semantically ordered vocabulary of shapes, symbols and descriptions upon which the grammar is defined. This paper focuses on the grammar definitions and its translation into a design oriented interface.
keywords	Parametric Design; Ontologies; Compound Grammars; Street Cross Section; Urban Design Systems
series	eCAADe
email
last changed	2022/06/07 07:54

_id	ijac201715302
id	ijac201715302
authors	Borges de Vasconselo, Tássias and David Sperling
year	2017
title	From representational to parametric and algorithmic interactions: A panorama of Digital Architectural Design teaching in Latin America
source	International Journal of Architectural Computing vol. 15 - no. 3, 215-229
summary	This study focuses on the context of graphic representation technologies and digital design on Architectural teaching in Latin America. From categories proposed by Oxman and Kotnik and through a mapping study framed by a systematic review in CumInCAD database, it is presented a panorama of the state-of-art of the digital design on Architectural teaching in the region, between 2006 and 2015. The results suggest a context of coexistence of representational interaction and parametric interaction, as well as a transition from one to another and the emergence of the first experiments in algorithmic interaction. As this mapping shows an ongoing movement toward Digital Architectural Design in Latin America in the last decade, and points out its dynamics in space in time, it could contribute to strengthen a crowdthinking network on this issue in the region and with other continents.
keywords	Computer-aided architectural design, Digital Architectural Design teaching, interaction with digital media, levels of design computability, Latin America, mapping study
series	journal
email
last changed	2019/08/07 14:03

_id	cf2017_101
id	cf2017_101
authors	Chen, Nai Chun; Zhang, Yan; Stephens, Marrisa; Nagakura, Takehiko; Larson, Kent
year	2017
title	Urban Data Mining with Natural Language Processing: Social Media as Complementary Tool for Urban Decision Making
source	Gülen Çagdas, Mine Özkar, Leman F. Gül and Ethem Gürer (Eds.) Future Trajectories of Computation in Design [17th International Conference, CAAD Futures 2017, Proceedings / ISBN 978-975-561-482-3] Istanbul, Turkey, July 12-14, 2017, pp. 101-109.
summary	The presence of web2.0 and traceable mobile devices creates new opportunities for urban designers to understand cities through an analysis of user-generated data. The emergence of “big data” has resulted in a large amount of information documenting daily events, perceptions, thoughts, and emotions of citizens, all annotated with the location and time that they were recorded. This data presents an unprecedented opportunity to gauge public opinion about the topic of interest. Natural language processing with social media is a novel tool complementary to traditional survey methods. In this paper, we validate these methods using tourism data from Trip-Advisor in Andorra. “Natural language processing” (NLP) detects patterns within written languages, enabling researchers to infer sentiment by parsing sentences from social media. We applied sentiment analysis to reviews of tourist attractions and restaurants. We found that there were distinct geographic regions in Andorra where amenities were reviewed as either uniformly positive or negative. For example, correlating negative reviews of parking availability with land use data revealed a shortage of parking associated with a known traffic congestion issue, validating our methods. We believe that the application of NLP to social media data can be a complementary tool for urban decision making.
keywords	Short Paper, Urban Design Decision Making, Social Media, Natural Language Processing
series	CAAD Futures
email
last changed	2017/12/01 14:37

_id	caadria2017_122
id	caadria2017_122
authors	Chen, Zi-Ru and Liang, Kai-Hsiang
year	2017
title	Application of Digital Fabrication Techniques to Reconstruct Ancient Machinery - A Case-study of Su Song's Water-powered Astronomical Clock Tower
source	P. Janssen, P. Loh, A. Raonic, M. A. Schnabel (eds.), Protocols, Flows, and Glitches - Proceedings of the 22nd CAADRIA Conference, Xi'an Jiaotong-Liverpool University, Suzhou, China, 5-8 April 2017, pp. 777-786
doi	https://doi.org/10.52842/conf.caadria.2017.777
summary	The restoration of ancient machinery involves a number of aspects, including manufacturing procedure, materials, and scales. Portions that cannot be confirmed should be regarded as variable parameters of the reconstructed design, and therefore, there is no single result. The goal of reconstruction is to establish a prototype of ancient machinery with its mechanical engineering techniques and crafts. The problem of this study is how digital fabrication tools used in architectural design can be applied to the reconstruction of ancient machinery with the water-powered armillary and celestial tower as an example. The objective was to synthesize results that comply with historical records in a systematic, modularized, and parameterized manner and consider the feasibility of using modern digital fabrication and materials. With the procedure, we can reduce the difficulty of ancient machinery reconstruction and provide a reference for the reconstruction designs of ancient mechanical technology and crafts, and mass production made of different materials and scales in the future.
keywords	Digital fabrication; Ancient mechanisms recovery; Innovative design
series	CAADRIA
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last changed	2022/06/07 07:54

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