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

_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	6db4
authors	Karakatsanis, Andreas Georgiou
year	1985
title	Floder: A Floor Designer Expert System
source	Department of Civil Engineering, Carnegie Mellon University, Pittsburgh PA
summary	The use of computers in structural design for the last two decades has been limited to algorithmic and procedural tasks. The use of expert system environments facilitates the implementation of conceptual tasks in computer programs. The goal of this study is to develop an expert system for the structural design of floor framings. FLODER, the resulting expert system, generates, analyzes, and evaluates floor framings for a given architectural plan. Framing generation consists of determination of the locations of structural elements in the architectural plan. Analysis involves an approximation of the dimensions of the slabs. Evaluation numerically ranks all generated framings using heuristic features for the alternatives. FLODER is implemented in OPS5 and LISP. The primary representations used are OPS5 production rules for the knowledge-base, and OPS5 working memory elements, for the context. Tasks amenable to algorithmic approaches are implemented in LISP. FLODER, even in its present state, can be viewed as a useful assistant to a designer. It can rapidly generate and evaluate alternative framings for a given architectural plan and thus increase the work productivity of its users [includes bibliography].
keywords	Knowledge Base, Systems, Design, Architecture, Civil Engineering, Representation, Expert Systems, Floor Plans, Synthesis, Structures
series	CADline
last changed	1999/02/15 15:27

_id	4494
authors	Maher, Mary Lou
year	1985
title	Hi-Rise and Beyond : Directions for Expert Systems in Design
source	Computer Aided Design. November, 1985. vol. 17: pp. 420-427 : ill. includes bibliography
summary	This paper commences with a brief introduction to expert systems and then describes the Hi-Rise expert system for structural design in terms of scope, problem solving strategy, knowledge representation and implementation. It then discusses the potential for developing an expert system capable of innovative design and describes the possibility of developing a generic expert system framework appropriate for any structural design problem
keywords	expert systems, civil engineering, structures, knowledge, representation, synthesis
series	CADline
email
last changed	2003/05/17 10:19

_id	a127
authors	Rasdorf, William J. and Salley, George C.
year	1985
title	Generative Engineering Databases - Toward Expert Systems
source	Computers and Structures. Pergamon Press, 1985. vol. 22: pp. 11-15
summary	CADLINE has abstract only. Engineering data management, incorporating concepts of optimization with data representation, is receiving increasing attention. Research in this area promises advantages for many engineering applications, particularly those which use data innovatively. This paper presents a framework for a comprehensive, relational database management system that combines a knowledge base (KB) of design constraints with a database (DB) of engineering data items to achieve a 'generative database' - one which automatically generates new engineering design data according to the design constraints stored in the knowledge base. Thus, in addition to the designer and engineering design and analysis application programs, the database itself contributes to the design process. The KB/DB framework proposed here requires a database that is able to store all of the data normally associated with engineering design and to accurately represent the interactions between constraints and the stored data while guaranteeing its integrity. The framework also requires a knowledge base that is able to store all the constraints imposed upon the engineering design process. The goal sought is a central integrated repository of data, supporting interfaces to a wide variety of application programs and supporting processing capabilities for maintaining integrity while generating new data. The resulting system permits the unaided generation of constrained data values, thereby serving as an active design assistant. This paper suggests this new conceptual framework as a means of improving engineering data representation, generation, use, and management
keywords	management, optimization, synthesis, database, expert systems, civil engineering
series	CADline
last changed	2003/06/02 10:24

_id	6ed3
authors	Rasdorf, William J. and Storaasli, Olaf O.
year	1985
title	The Role of Computing in Engineering Education
source	Toward Expert Systems, Computers and Structures. Pergamon Press, July, 1985. vol. 20: pp. 11-15. Also published in: Advances and Trends in Structures and Dynamics edited by A. K. Noor and R. J. Hayduk
summary	Pergamon Press, 1985. --- Also Published in : Proceedings of the Symposium on Advances and Trends in Structures and Dynamics, Pergamon Press, George Washington University and the National Aeronautics and Space Administration, Washington, D.C. pp. 11-15, Oct.1984. The rapid advances occurring in interactive micro-computing and computer science have provided the engineer with a powerful means of processing, storing, retrieving, and displaying data. The effective use of computer technology in engineering processes and applications is recognized by many as the key to increased individual, company, and national productivity. The implications of this observation for the academic community are clear: we must prepare our students to use computer methods and applications as part of their fundamental education. The proper tradeoff between engineering fundamentals and computer science principles and practices is changing with many of the concepts of engineering now being packaged in algorithms or on computer chips. The components of an education should include operating system fundamentals, data structures, program control and organization, algorithms, and computer architectures. It is critically important for engineering students to receive an education that teaches them these fundamentals. This paper suggests that to convey the essentials of computer science to future engineers requires, in part, the addition of computer courses to the engineering curriculum. It also requires a strengthening of the computing content of many other courses so that students come to treat the computer as a fundamental component of their work. This is a major undertaking, but new engineers graduating with advanced computing knowledge will provide potentially significant future innovations in the engineering profession
keywords	CAE, education, civil engineering
series	CADline
last changed	2003/06/02 13:58

_id	a36a
authors	Rasdorf, William J.
year	1985
title	Perspectives on Knowledge in Engineering Design
source	Proceedings of the International Computers in Engineering Conference. Boston, MA: American Society of Mechanical Engineers, August, 1985. Vol. 2: pp. 249-253. CADLINE has abstract only
summary	Of all the contributions of artificial intelligence (AI), expert systems show some of the most significant promise for engineering applications. Expert systems provide a framework for acquiring, representing, and using knowledge about a particular application's domain. The role of knowledge in engineering design merits closer attention so that AI- oriented computer-aided engineering (CAE) systems can be developed and maintained systematically. Because 'knowledge' in engineering applications is loosely defined, it is necessary to identify knowledge types and the correlations between them before widespread engineering design applications can be achieved. The types of domain knowledge; facts, procedures, judgments, and control; differ from the classes of that knowledge; creative, innovative, and routine. Feasible tasks for expert systems can be determined based on these types and classes of knowledge. Interpretive tasks require reasoning about a task in light of the knowledge available, while generative tasks create potential solutions to be tested against constraints. Only after classifying the domain by type and level can the engineer select an appropriate knowledge-engineering tool for the domain being considered. The critical features to be weighed after problem classification are knowledge representation techniques, control strategies, interface requirements, compatibility with traditional systems, and economic considerations. After considering all of these factors in the selection of the expert system tool, the engineer can then proceed with the acquisition of knowledge and the construction and the use of the expert system
keywords	knowledge, AI, civil engineering, expert systems, CAE, representation
series	CADline
last changed	2003/06/02 13:58

_id	a217
authors	Bhatt, Rajesh V., Fisher, Edward L. and Rasdorf, William J.
year	1985
title	Information Retrieval Architectures For Expert System/DBMS Communication
source	Industrial Engineering Fall Conference Proceedings. December, 1985. pp. 315-320. CADLINE has abstract only
summary	The development of expert systems (ES) for manufacturing problems indicates a need to interact with potentially large amounts of data, much of which resides elsewhere in the ES user's organization. A large amount of information required for planning, design, and control operations can be made available through an existing database management system (DBMS). The need for an ES to access that data is critical. This paper presents two approaches to the development of ES- DBMS interfaces, both query-language based. One approach uses a procedural attachment to the ES language to obtain the required data via the DBMS query language, while the other one uses a separate interface program between the ES and the query language of the DBMS. The procedural attachment is able to acquire data from a DBMS at a faster rate than the interface program; however, the procedural attachment lacks knowledge of the DBMS schema. On the other hand, the interface program sacrifices speed but promotes flexibility, as it has the capability of selecting which DBMS to extract the required data from and allowing augmentation of schema knowledge outside of the ES. A disadvantage of the interface approach is the amount of time involved in data retrieval. The process of writing information to disk files is I/O intensive. This can be quite slow, particularly in PROLOG, the language used to implement the ES. Thus the use of such an interface is only suitable in applications such as design, where extremely fast I/O is not required
keywords	design, engineering, expert systems, information, database, DBMS
series	CADline
last changed	2003/06/02 10:24

_id	0533
authors	Clemons, Eric K. and Greenfield, Arnold J.
year	1985
title	The SAGE System Architecture: A System for the Rapid Development of Graphics Interfaces for Decision Support
source	IEEE Computer Graphics and Applications. November, 1985. vol. 5: pp. 38-50 : ill. includes bibliography
summary	Graphics interfaces support the decision maker in sensitivity analysis - the exploration of proposed solutions and examination of alternatives. The authors present an architecture for rapid preparation of graphics interfaces for large classes of management sciences, operations research, and expert systems models. This architecture is based on a detailed study of sensitivity analysis requests is also presented. The architecture was the basis of a prototype, now operational, which is illustrated through a case study of sensitivity analysis in a vehicle-routing system
keywords	expert systems, user interface, operations research
series	CADline
last changed	2003/06/02 10:24

_id	0551
authors	Haller, Fritz
year	1985
title	The Design of Buildings Which Have Complex Mechanical Infrastructure Using Expert Systems
source	1985? 24 p. : ill. Co-authored by several contributors. Includes bibliography
summary	The paper presents a project whose aim is to find better methods for the design of buildings like laboratories, office buildings, schools, hospitals etc., which have complex mechanical systems. The design of the mechanical infrastructure in such buildings is as important as the design of other architectural or construction parts. The fundamental idea of the project is to integrate design problems of the mechanical system into the design of the architectural and structural concepts of the entire building. This is based on the belief that using an expert system containing computer programs for the solution of design problems can support the whole design process and that the design of buildings having complex mechanical infrastructure can be qualitatively better and more efficient than the design with traditional methods
keywords	architecture, expert systems, mechanical, systems, applications, design, building, construction
series	CADline
last changed	1999/02/12 15:08

_id	ed59
authors	Hart, Anna
year	1985
title	Knowledge Elicitation : Issues and Methods
source	Computer Aided Design. November, 1985. vol. 17: pp. 455-462 : ill. includes bibliography
summary	The paper, after briefly outlining the stages in the development of an expert system, describes and reviews methods for knowledge elicitation. These methods include: interview techniques; protocol analysis; induction; and the repertory grid technique
keywords	knowledge acquisition, expert systems, protocol analysis, psychology
series	CADline
last changed	1999/02/12 15:08

_id	0e0a
authors	Kalay, Yehuda E., Harfmann, Anton C. and Swerdloff, Lucien M.
year	1985
title	An Expert System Approach to Computer-Aided Participatory Architectural Design
source	February, 1985. 16 p. : ill. includes bibliography
summary	Increased satisfaction of the built environment can be achieved by more effective communication between the people who use that environment and the designers who form it. Participatory design is a method which educates and involves the users in the actual design process so that such a communication becomes possible. Methods that have so far been developed for participatory design have proven to be too limited, due mainly to the large time demands they place on architects. An effective participatory design method can be achieved by the use of a knowledge-based expert system which is capable of providing an educational design experience to the user. The development and implementation of such a system, specifically for the design of single family homes, is the focus of this paper
keywords	expert systems, CAD, architecture, design process
series	CADline
email
last changed	2003/06/02 13:58

_id	e1a8
authors	Kellogg, Richard E.
year	1985
title	CAD-Spreadsheet Linkages for Design and Analysis
doi	https://doi.org/10.52842/conf.acadia.1985.109
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 109-118
summary	This paper reports on two systems under development which link a CAD system with a spreadsheet. The first extracts areas and R-values from a special AutoCAD drawing and processes the information in a Lotus 1-2-3 spreadsheet to obtain total heatloss for a building. The second is a prototype expert system which uses space labels from an AutoCAD "bubble-diagram" to print lists of design recommendations extracted from a Lotus 1-2-3 data-base. These methods emphasize drawing as the primary design activity, while providing immediate factual feedback about the design proposal.
series	ACADIA
email
last changed	2022/06/07 07:52

_id	0711
authors	Kunnath, S.K., Reinhorn, A.M. and Abel, J.F.
year	1990
title	A Computational Tool for Evaluation of Seismic Performance of RC Buildings
source	February, 1990. [1] 15 p. : ill. graphs, tables. includes bibliography: p. 10-11
summary	Recent events have demonstrated the damaging power of earthquakes on structural assemblages resulting in immense loss of life and property (Mexico City, 1985; Armenia, 1988; San Francisco, 1989). While the present state-of-the-art in inelastic seismic response analysis of structures is capable of estimating response quantities in terms of deformations, stresses, etc., it has not established a physical qualification of these end-results into measures of damage sustained by the structure wherein system vulnerability is ascertained in terms of serviceability, repairability, and/or collapse. An enhanced computational tool is presented in this paper for evaluation of reinforced concrete structures (such as buildings and bridges) subjected to seismic loading. The program performs a series of tasks to enable a complete evaluation of the structural system: (a) elastic collapse- mode analysis to determine the base shear capacity of the system; (b) step-by-step time history analysis using a macromodel approach in which the inelastic behavior of RC structural components is incorporated; (c) reduction of the response quantities to damage indices so that a physical interpretation of the response is possible. The program is built around two graphical interfaces: one for preprocessing of structural and loading data; and the other for visualization of structural damage following the seismic analysis. This program can serve as an invaluable tool in estimating the seismic performance of existing RC buildings and for designing new structures within acceptable levels of damage
keywords	seismic, structures, applications, evaluation, civil engineering, CAD
series	CADline
last changed	2003/06/02 14:41

_id	e02f
authors	Lenart, Mihaly
year	1985
title	The Design of Buildings which Have Complex Mechanical Infrastructure using Expert Systems
doi	https://doi.org/10.52842/conf.acadia.1985.052
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 52-68
summary	This paper presents a project under development at the University of Karlsruhe in which the author took part for two years. The aim of this project which was supported by the German Research Association (Deutsche Forschungsgemeinschaft) is to find better methods for the design of buildings having complex mechanical systems like laboratories, office buildings, schools, hospitals. etc. The design of the mechanical infrastructure in such buildings is as important as the design of other architectural or construction parts. The fundamental idea of the project is to consider design problems of the mechanical system as part of the design of the architectural and structural concepts of the entire building. This is based on the belief that the use of an expert system containing computer programs for the solution of design problems can support the whole design procedure and that the design of buildings having complex mechanical infrastructure can be qualitatively better and more efficient than the design with traditional methods.
series	ACADIA
last changed	2022/06/07 07:52

_id	ae09
authors	Lieberman, Henry
year	1985
title	There's More to Menu Systems Than Meets the Screen
source	SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 181-189 : ill. includes bibliography
summary	Love playing with those fancy menu-based graphical user interfaces, but afraid to program one yourself for your own application? Do windows seem opaque to you? Are you scared of Mice? Like what-you-see-is-what-you-get but don't know how to get-what-you-want-to-see on the screen? Everyone agrees using systems like graphical document illustrators, circuit designers, and iconic file systems is fun, but programming user interfaces for these systems isn't as much fun as it should be. Systems like the Lisp Machines, Xerox D- Machines, and Apple Macintosh provide powerful graphics primitives, but the casual applications designer is often stymied by the difficulty of mastering the details of window specification, multiple processes, interpreting mouse input, etc. This paper presents a kit called EZWin, which provides many services common to implementing a wide variety of interfaces, described as generalized editors for sets of graphical objects. An individual application is programmed simply by creating objects to represent the interface itself, each kind of graphical object, and each command. A unique interaction style is established which is insensitive to whether commands are chosen before or after their arguments. The system anticipates the types of arguments needed by commands preventing selection mistakes which are a common source of frustrating errors. Displayed objects are made 'mouse-sensitive' only if selection of the object is appropriate in the current context. The implementation of a graphical interface for a computer network simulation is described to illustrate how EZWin works
keywords	user interface, computer graphics
series	CADline
last changed	1999/02/12 15:09

_id	8307
authors	Rehak, Daniel R. and Howard, Craig H.
year	1985
title	Interfacing Expert Systems with Design Databases in Integrated CAD Systems
source	Computer Aided Design. November, 1985. vol. 17: pp. 443-454 : ill. includes bibliography
summary	A model of a distributed network DBMS, using knowledge-base programming techniques, for interfacing KBS-to-DBMS is presented. In this model, the description of the data model of each KBS and DBMS component of the CAD system is represented as knowledge describing the components, making the components independent of each other. KADBASE, a prototype of such a flexible interface is demonstrating an approach to developing an integrated, distributed CAD system containing a variety of heterogeneous expert systems and design databases
keywords	expert systems, design, database, user interface, integration, CAD
series	CADline
last changed	2003/06/02 13:58

_id	8f9d
authors	Wolchko, Matthew J.
year	1985
title	Strategies Toward Architectural Knowledge Engineering
doi	https://doi.org/10.52842/conf.acadia.1985.069
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 69-82
summary	Conventional CAD-drafting systems become more powerful modeling tools with the addition of a linked attribute spreadsheet module. This affords the designer the ability to make design decisions not only in the graphic environment, but also as a consequence of quantitative design constraints made apparent in the spreadsheet. While the spreadsheet interface is easily understood by the user, it suffers from two limitations: it lacks a variety of functional capabilities that would enable it to solve more complex design tasks; also, it can only report on existing conditions in the graphic environment. A proposal is made for the enhancement of the spreadsheet's programming power, creating an interface for the selection of program modules that can solve various architectural design tasks. Due to the complexity and graphic nature of architectural design, it is suggested that both procedural and propositional programming methods be used in concert within such a system. In the following, a suitable design task (artificial illumination-reflected ceiling layout) is selected, and then decomposed into two parts: the quantitative analysis (via the application of a procedural programming algorithm), and a logical model generation using shape grammar rules in a propositional framework.
series	ACADIA
last changed	2022/06/07 07:57

_id	678e
authors	Aish, Robert
year	1986
title	Three-dimensional Input and Visualization
source	Computer-Aided Architectural Design Futures [CAAD Futures Conference Proceedings / ISBN 0-408-05300-3] Delft (The Netherlands), 18-19 September 1985, pp. 68-84
summary	The aim of this chapter is to investigate techniques by which man-computer interaction could be improved, specifically in the context of architectural applications of CAD. In this application the object being designed is often an assembly of defined components. Even if the building is not actually fabricated from such components, it is usually conceptualized in these terms. In a conventional graphics- based CAD system these components are usually represented by graphical icons which are displayed on the graphics screen and arranged by the user. The system described here consists of three- dimensional modelling elements which the user physically assembles to form his design. Unlike conventional architectural models which are static (i.e. cannot be changed by the users) and passive (i.e. cannot be read by a CAD system), this model is both 'user generated' and 'machine readable'. The user can create, edit and view the model by simple, natural modelling activities and without the need to learn complex operating commands often associated with CAD systems. In particular, the user can view the model, altering his viewpoint and focus of attention in a completely natural way. Conventional computer graphics within an associated CAD system are used to represent the detailed geometry which the different three-dimensional icons may represent. In addition, computer graphics are also used to present the output of the performance attributes of the objects being modelled. In the architectural application described in this chapter an energy- balance evaluation is displayed for a building designed using the modelling device. While this system is not intended to offer a completely free-form input facility it can be considered to be a specialist man-machine interface of particular relevance to architects or engineers.
series	CAAD Futures
email
last changed	2003/11/21 15:15

_id	cc15
authors	Ansaldi, Silvia, De Floriani, Leila and Falcidieno, Bianca
year	1985
title	Geometric Modeling of Solid Objects by Using a Face Adjacency Graph Representation
source	SIGGRAPH '85 Conference Proceedings. July, 1985. vol. 19 ; no. 3: pp. 131-139 : ill. includes bibliography
summary	A relational graph structure based on a boundary representation of solid objects is described. In this structure, called Face Adjacency Graph, nodes represent object faces, whereas edges and vertices are encoded into arcs and hyperarcs. Based on the face adjacency graph, the authors define a set of primitive face-oriented Euler operators, and a set of macro operators for face manipulation, which allow a compact definition and an efficient updating of solid objects. The authors briefly describe a hierarchical graph structure based on the face adjacency graph, which provides a representation of an object at different levels of detail. Thus it is consistent with the stepwise refinement process through which the object description is produced
keywords	geometric modeling, graphs, objects, representation, data structures,B-rep, solid modeling, Euler operators
series	CADline
last changed	2003/06/02 10:24

_id	66b3
authors	Bollinger, Elizabeth
year	1985
title	Integrating CADD into the AEC Process - A Case Study
doi	https://doi.org/10.52842/conf.acadia.1985.013
source	ACADIA Workshop ‘85 [ACADIA Conference Proceedings] Tempe (Arizona / USA) 2-3 November 1985, pp. 13-24
summary	A research grant was awarded to the Graduate School of Architecture at the University of Houston by Nash Phillips/Copus, a large homebuilding corporation, to study the integration of computer aided design into the entire building process. A computer aided design system had been utilized by the firm's department of architecture and planning for several months. A team of University faculty and graduate students studied the organization of the firm with respect to functions that could be automated. Its determination was that by utilizing an integrated data base, with information to be extracted from the computer generated drawings, the entire process of bidding and building a structure could be made more efficient and cost effective. The research team developed a system in which cost estimating could be done directly from the drawings. As drawings were modified, new reports could be automatically generated. More design solutions could be studied from the impact of cost as well as aesthetics. Additionally, once plans were drawn, a program written by students would automatically generate elevations of wall panels to be sent to the construction department for its use, and which would also generate material reports. The team also studied techniques of computer modelling for usage by the architectural planning department in client presentations.
series	ACADIA
email
last changed	2022/06/07 07:54

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