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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Hits 1 to 10 of 10

_id ijac202322108
id ijac202322108
authors Abu-Aridah, Dima and Heather Ligler
year 2024
title Shape grammars and self-built refugee communities: The transformation from tent shelter to customized structure in Irbid Camp
source International Journal of Architectural Computing 2024, Vol. 22 - no. 1, 1-24
summary This paper presents research on design challenges in protracted refugee camps, where “temporary” shelters undergo informal transformations, becoming long-term homes and establishing communities. We develop a shape grammar to investigate this phenomenon, focusing on the evolution of refugee housing units in the Irbid Camp in Jordan from the emergency to the transitional and permanent phases. Our parametric shape grammar analyzes and describes the physical characteristics of these units, revealing their dynamic nature. The corpus of the grammar includes 10 diverse housing units that provide a range of insights and opportunities for refugee housing design and planning. The grammar builds a foundation for developing design solutions that mediate transformations and address long-term implications for sustainable and adaptive environments to anticipate self-build processes and better support evolving resident needs in housing layouts.
keywords Shape grammar, informal design process, growth dynamics, refugee camps, Palestinian refugees, modular design, refugee housing
series journal
last changed 2024/07/18 13:03

_id sigradi2022_6
id sigradi2022_6
authors Abu-Aridah, Dima; Ligler, Heather
year 2022
title From Shelter to Home: Transformation Grammar of Housing Units in Irbid Refugee Camp
source Herrera, PC, Dreifuss-Serrano, C, Gómez, P, Arris-Calderon, LF, Critical Appropriations - Proceedings of the XXVI Conference of the Iberoamerican Society of Digital Graphics (SIGraDi 2022), Universidad Peruana de Ciencias Aplicadas, Lima, 7-11 November 2022 , pp. 311–322
summary This paper presents research on the design challenges in refugee camps where “temporary" shelters often evolve into permanent homes and larger communities. These transformations convey an informal design process, a phenomenon evident in Irbid Camp for Palestinian refugees in Jordan. To study this site and design process in detail, shape rules based on the transformation of ten individual housing units are developed, with consideration of area and growth limitations inside the refugee camp. The Irbid Camp Grammar reveals a modular, grid-based logic at play in the incremental and spontaneous design of refugee housing from temporary shelters to permanent homes. This study is one step forward in helping us understand how formalizing this growth logic can contribute to the design of better emergency housing interventions in the future.
keywords Shape grammars, Emergency housing, Refugee housing, Housing transformation, Informal settlements
series SIGraDi
email
last changed 2023/05/16 16:55

_id ecaade2020_146
id ecaade2020_146
authors Andriasyan, Mesrop, Zanelli, Alessandra, Yeghikyan, Gevorg, Asher, Rob and Haeusler, Hank
year 2020
title Algorithmic Planning and Assessment of Emergency Settlements and Refugee Camps
source Werner, L and Koering, D (eds.), Anthropologic: Architecture and Fabrication in the cognitive age - Proceedings of the 38th eCAADe Conference - Volume 2, TU Berlin, Berlin, Germany, 16-18 September 2020, pp. 115-124
doi https://doi.org/10.52842/conf.ecaade.2020.2.115
summary The planning quality of refugee camps profoundly affects the people living there. Because of the short time span allotted to planners due to the state of emergency, camps are often poorly planned or not planned at all. This paper proposes tools and methods developed through computational modelling algorithms that can enhance the design procedure and provide instant feedback about the plan performance to the planner. The developed planning framework allows defining the planning guidelines which will be tested for compliance. The paper also shows case studies of analysing an existing refugee camp.
keywords Refugee camp; shelter; generative design; UNHCR; humanitarian architecture
series eCAADe
email
last changed 2022/06/07 07:54

_id ecaade2015_92
id ecaade2015_92
authors Daher, Elie; Kubicki, Sylvain and Halin, Gilles
year 2015
title A Parametric Process for Shelters and Refugees’ Camps Design
source Martens, B, Wurzer, G, Grasl T, Lorenz, WE and Schaffranek, R (eds.), Real Time - Proceedings of the 33rd eCAADe Conference - Volume 2, Vienna University of Technology, Vienna, Austria, 16-18 September 2015, pp. 541-548
doi https://doi.org/10.52842/conf.ecaade.2015.2.541
wos WOS:000372316000061
summary Many situations related to natural environment and human activities increase the risk related to housing and create a demand for rapid post-disaster solutions. The solutions implemented by both the non-governmental organizations (NGOs) and the local and national organizations should fulfill the requirements of the temporarily displaced populations. However post-disaster design faces many challenges in its process making the response always more complex. At the same time, computer-based design is a growing approach in both architectural practice and research. The research described in this paper aims to help in finding solutions to design issues by addressing the potential of computer-based architectural design support. It is applied to shelter and camp development and takes into account physical, contextual and climatic parameters. The outcome is a design process for shelter and camp, which has been validated by a parametric prototype experiment in a case study. This should support humanitarian teams and contribute to enhancing the quality of design as well as to reducing the time required for the design and construction processes.
series eCAADe
email
more https://mh-engage.ltcc.tuwien.ac.at/engage/ui/watch.html?id=02a874e6-6e90-11e5-8511-3bb4258a8962
last changed 2022/06/07 07:56

_id 78ca
authors Friedland, P. (Ed.)
year 1985
title Special Section on Architectures for Knowledge-Based Systems
source CACM (28), 9, September
summary A fundamental shift in the preferred approach to building applied artificial intelligence (AI) systems has taken place since the late 1960s. Previous work focused on the construction of general-purpose intelligent systems; the emphasis was on powerful inference methods that could function efficiently even when the available domain-specific knowledge was relatively meager. Today the emphasis is on the role of specific and detailed knowledge, rather than on reasoning methods.The first successful application of this method, which goes by the name of knowledge-based or expert-system research, was the DENDRAL program at Stanford, a long-term collaboration between chemists and computer scientists for automating the determination of molecular structure from empirical formulas and mass spectral data. The key idea is that knowledge is power, for experts, be they human or machine, are often those who know more facts and heuristics about a domain than lesser problem solvers. The task of building an expert system, therefore, is predominantly one of teaching" a system enough of these facts and heuristics to enable it to perform competently in a particular problem-solving context. Such a collection of facts and heuristics is commonly called a knowledge base. Knowledge-based systems are still dependent on inference methods that perform reasoning on the knowledge base, but experience has shown that simple inference methods like generate and test, backward-chaining, and forward-chaining are very effective in a wide variety of problem domains when they are coupled with powerful knowledge bases. If this methodology remains preeminent, then the task of constructing knowledge bases becomes the rate-limiting factor in expert-system development. Indeed, a major portion of the applied AI research in the last decade has been directed at developing techniques and tools for knowledge representation. We are now in the third generation of such efforts. The first generation was marked by the development of enhanced AI languages like Interlisp and PROLOG. The second generation saw the development of knowledge representation tools at AI research institutions; Stanford, for instance, produced EMYCIN, The Unit System, and MRS. The third generation is now producing fully supported commercial tools like KEE and S.1. Each generation has seen a substantial decrease in the amount of time needed to build significant expert systems. Ten years ago prototype systems commonly took on the order of two years to show proof of concept; today such systems are routinely built in a few months. Three basic methodologies-frames, rules, and logic-have emerged to support the complex task of storing human knowledge in an expert system. Each of the articles in this Special Section describes and illustrates one of these methodologies. "The Role of Frame-Based Representation in Reasoning," by Richard Fikes and Tom Kehler, describes an object-centered view of knowledge representation, whereby all knowldge is partitioned into discrete structures (frames) having individual properties (slots). Frames can be used to represent broad concepts, classes of objects, or individual instances or components of objects. They are joined together in an inheritance hierarchy that provides for the transmission of common properties among the frames without multiple specification of those properties. The authors use the KEE knowledge representation and manipulation tool to illustrate the characteristics of frame-based representation for a variety of domain examples. They also show how frame-based systems can be used to incorporate a range of inference methods common to both logic and rule-based systems.""Rule-Based Systems," by Frederick Hayes-Roth, chronicles the history and describes the implementation of production rules as a framework for knowledge representation. In essence, production rules use IF conditions THEN conclusions and IF conditions THEN actions structures to construct a knowledge base. The autor catalogs a wide range of applications for which this methodology has proved natural and (at least partially) successful for replicating intelligent behavior. The article also surveys some already-available computational tools for facilitating the construction of rule-based knowledge bases and discusses the inference methods (particularly backward- and forward-chaining) that are provided as part of these tools. The article concludes with a consideration of the future improvement and expansion of such tools.The third article, "Logic Programming, " by Michael Genesereth and Matthew Ginsberg, provides a tutorial introduction to the formal method of programming by description in the predicate calculus. Unlike traditional programming, which emphasizes how computations are to be performed, logic programming focuses on the what of objects and their behavior. The article illustrates the ease with which incremental additions can be made to a logic-oriented knowledge base, as well as the automatic facilities for inference (through theorem proving) and explanation that result from such formal descriptions. A practical example of diagnosis of digital device malfunctions is used to show how significantand complex problems can be represented in the formalism.A note to the reader who may infer that the AI community is being split into competing camps by these three methodologies: Although each provides advantages in certain specific domains (logic where the domain can be readily axiomatized and where complete causal models are available, rules where most of the knowledge can be conveniently expressed as experiential heuristics, and frames where complex structural descriptions are necessary to adequately describe the domain), the current view is one of synthesis rather than exclusivity. Both logic and rule-based systems commonly incorporate frame-like structures to facilitate the representation of large amounts of factual information, and frame-based systems like KEE allow both production rules and predicate calculus statements to be stored within and activated from frames to do inference. The next generation of knowledge representation tools may even help users to select appropriate methodologies for each particular class of knowledge, and then automatically integrate the various methodologies so selected into a consistent framework for knowledge. "
series journal paper
last changed 2003/04/23 15:14

_id cf2011_p003
id cf2011_p003
authors Ng, Edward; Ren Chao
year 2011
title Sustainable Planning with a Synergetic Collation of Thermal and Dynamic Characteristics of Urban Climate using Map Based Computational Tools
source Computer Aided Architectural Design Futures 2011 [Proceedings of the 14th International Conference on Computer Aided Architectural Design Futures / ISBN 9782874561429] Liege (Belgium) 4-8 July 2011, pp. 367-382.
summary Since 2006, half of the world’s population lives in cities. In the age of climate change, designing for quality environmental living conditions and sustainability is a topical concern. However, on the one hand, designers and city planners operate with their three dimensional city morphological data such as building shapes and volumes, forms and their spacings, and functional attributes and definition signatures. On the other hand, urban climatologists operate with their numbers and equations, quantities and signals, and normals and anomalies. Traditionally the two camps do not meet. It is a challenge to develop design tools that they can work together. Map based information system based on computational geographic information system (GIS) that is properly structured and represented offers a common language, so to speak, for the two professional groups to work together. Urban climatic map is a spatial and graphical tool with information embedded in defined layers that are collated so that planners and urban climatologists can dialogue over design issues. With various planning and meteorological data coded in defined grid resolutions onto the GIS map system, data can be synergized and collated for various understandings. This papers explains the formulation of Hong Kong’s GIS based Urban Climatic Map as an example of how the map works in practice. Using the map, zonal and district based planning decisions can be made by planners and urban climatologists that lead to new designs and policy changes.
keywords sustainable development, urban planning, urban thermal, urban dynamics, computer tools
series CAAD Futures
email
last changed 2012/02/11 19:21

_id sigradi2018_1424
id sigradi2018_1424
authors Ribeiro Carvalho, Diogo; Vieira Deiró, Taynara
year 2018
title Architects and refugee camps: a case study for bottom-up approaches
source SIGraDi 2018 [Proceedings of the 22nd Conference of the Iberoamerican Society of Digital Graphics - ISSN: 2318-6968] Brazil, São Carlos 7 - 9 November 2018, pp. 1227-1232
summary The United Nations High Commissioner for Refugees (UNHCR) defines "refugees" as people forced to leave their country because of armed conflict, widespread violence and massive human rights violations. This paper presents and discusses a methodology for implementing a refugee camp in the context of the migration of southern Sudanese to Uganda. The proposal involves an intersection between 3D printing technology of LDM (Liquid Deposition Modeling) process, using soil as the main input, and participatory bottom-up processes in order to promote gradual technical and creative autonomy, sense of community and mental health of these people.
keywords Architecture; Refugee camps; Humanitarian design; Digital fabrication; Bottom-up approaches
series SIGRADI
email
last changed 2021/03/28 19:59

_id sigradi2005_505
id sigradi2005_505
authors Senagala, Mahesh
year 2005
title Kinetic, Responsive and Performative: A Complex-Adaptive approach to Smart Architecture
source SIGraDi 2005 - [Proceedings of the 9th Iberoamerican Congress of Digital Graphics] Lima - Peru 21-24 november 2005, vol. 1, pp. 505-510
summary Smart architecture is fast becoming a buzzword in architecture and related disciplines. However, it is not entirely clear what constitutes smart architecture and how relates to or differs from such closely related camps as responsive architecture, performative architecture, kinetic architecture, and adaptive architecture. This paper poses the essential and critical questions about smart architecture from a complex-adaptive systems point of view. The paper also illustrates the attributes of smart architecture with a number of seemingly disparate, yet conceptually connected design developments.
series SIGRADI
type normal paper
email
last changed 2016/03/10 10:00

_id ijac20064303
id ijac20064303
authors Senagala, Mahesh
year 2006
title Rethinking Smart Architecture: Some Strategic Design Frameworks
source International Journal of Architectural Computing vol. 4 - no. 3, 33-46
summary The paper is an attempt to provide a comprehensive re-definition and a complex-adaptive framework for strategic understanding of smart architecture. The paper rethinks smart architecture's strategic and conceptual frameworks. A complex-adaptive and systems approach has been forwarded as an alternative. Comprehensive definition of smart architecture has been provided. Disparate yet related camps of responsive architecture, adaptive architecture, intelligent buildings, kinetic architecture have been brought under the umbrella of smart architecture. The role of users in smart architectural schemata has been explored. Examples of a few recent architectural projects have been used to illustrate the emerging directions in smart architecture.
series journal
last changed 2007/03/04 07:08

_id ascaad2006_paper14
id ascaad2006_paper14
authors Techel, Florian
year 2006
title Future of Communicating Digital Design in Architecture: overcoming the divisive power of Computer Aided Design
source Computing in Architecture / Re-Thinking the Discourse: The Second International Conference of the Arab Society for Computer Aided Architectural Design (ASCAAD 2006), 25-27 April 2006, Sharjah, United Arab Emirates
summary A few decades ago architects, engineers and the building industry relied on a set of self-developed tools for drawing and standards for communication within the profession and beyond. Everyone involved in the process of building understood these standards that were developed, controlled and updated by the profession. Today the situation appears more ambiguous. The introduction of Digital Media, and specifically Computer Aided Design, has greatly enhanced the potential for productivity gains. On the other hand, the lack of standardized open file exchange formats in CAD has created communication barriers by making data exchange more confusing and ambiguous. Frequently this has consumed the very productivity gains that were originally envisioned by industry. Problems with proper and fluent data exchange between software applications to no small extent are due to fundamental disagreements between software designers on the proper digital description of a building, leading to nearly insurmountable communication obstacles, designed to potentially divide the profession, practitioners and the educational environment. Consequently construction has not partaken in the productivity gains that other industries have enjoyed. Proprietary file formats and closed software systems have fostered the development of design camps that rally behind one software. Others reluctantly buy into certain “solutions” for they are perceived to be standards. Innovation is hampered as development of industry design tools is no longer controlled by architects, engineers and the construction sector but instead by private software companies frequently pursuing their Based on 20 years of experience with CAD in the profession and academia this paper critically investigates the status quo of CAD in the building industry. It points towards strategies of overcoming the current problematic situation and putting the profession back in control of its own communication process.
series ASCAAD
email
last changed 2007/04/08 19:47

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