49 research outputs found

    Interactive modelling and simulation of heterogeneous systems

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    Spatial models in computer-based information systems

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    From a series of initial studies in the area of computer cartography a dual data structure was evolved based on matrix representation of graphs and the use of boolean expressions. This data structure was used principally to represent zones in space though, by using boundaries of zones, it was possible to create line networks. The original idea was to use the boolean expressions as an input language for creating volume and area descriptions and to use the graph matrices for internal manipulation and creating graphic output. However, a way was found to interpret the boolean expression directly into the form of graphic output suitable for the raster scan displays given by television monitors. The software implementation of this process was very slow but, with the current developments in integrated circuitry, it suggested a way of creating a new form of parallel display processor. This possibility was investigated initially as a general processor to carry out several related spatial operations and then, finally, merely to create displays. The applications depend on (t) the general nature of the data structure used and the possible graphic languages it makes possible and (2) the real time manipulation of displays. In the case of three-dimensional scenes, this includes an automatic hidden line and hidden area removal capability. The particular applications which have been considered include the fast access and display of maps and technical drawings from planning, archi¬ tectural and engineering data bases; the real time generation of displays for training simulation; the preparation of animated films for teaching and entertainment; the control of numerically-controlled machine tools; and solving the placement problem in computer-aided design work and overlap problems in type setting and map annotation

    Making a stronger case for comparative research to investigate the behavioral and neurological bases of three-dimensional navigation

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    The rich diversity of avian natural history provides exciting possibilities for comparative research aimed at understanding three-dimensional navigation. We propose some hypotheses relating differences in natural history to potential behavioral and neurological adaptations possessed by contrasting bird species. This comparative approach may offer unique insights into some of the important questions raised by Jeffery et al

    Genetic algorithms for scheduling purposes

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    Self-similar synthesis on the border between sound and music

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    Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1992.Includes bibliographical references (leaves 142-146).by Shahrokh David Yadegari.M.S

    Mathematical surfaces models between art and reality

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    In this paper, I want to document the history of the mathematical surfaces models used for the didactics of pure and applied “High Mathematics” and as art pieces. These models were built between the second half of nineteenth century and the 1930s. I want here also to underline several important links that put in correspondence conception and construction of models with scholars, cultural institutes, specific views of research and didactical studies in mathematical sciences and with the world of the figurative arts furthermore. At the same time the singular beauty of form and colour which the models possessed, aroused the admiration of those entirely ignorant of their mathematical attraction

    Escher--a geometrical layout system for recursively defined circuits

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    Computer Science Departmen

    Algorithms and Software for the Analysis of Large Complex Networks

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    The work presented intersects three main areas, namely graph algorithmics, network science and applied software engineering. Each computational method discussed relates to one of the main tasks of data analysis: to extract structural features from network data, such as methods for community detection; or to transform network data, such as methods to sparsify a network and reduce its size while keeping essential properties; or to realistically model networks through generative models
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