New designs for both nonblocking and rearrangeable broadcast switching networks have been developed. Analysis to determine/evaluation of broadcast networks based on the trade-off between rearrangeability and cost has been performed.
The essential goal of this investigation was to combine symmetry-reduction techniques with methods of nonlinear analysis to solve nonlinear differential equations associated with problems from elastomechanics. During the effective time of this grant papers have appeared and papers have been accepted for publication.
Basic results were obtained and published on the mathematical characterization of feed-forward and recurrent neural networks. It was shown how to approximate any continuous function by a 3-layer feed-forward network. The fixed-points and oscillations of recurrent networks were analyzed.
Our Primary objective is to carry out a cellular and computational analysis of operant conditioning of the head waving response in Aplysia. During the last twelve month period,progress has been made in five areas: (1) We have carried out a detailed kinematic analysis of the operant response; (2) We have identified the biomechanical principles underlying the operant response; (3) We have identified the precise pattern and timing of muscles and motor neurons during head waving. Advances in areas 1-3above have allowed us (4) to construct a quantitative computational model of head waving using biological parameters. In addition (5) We have identified a novel form of reinforcement for conditioning of head waving that significantly advances the cellular and computational analysis. Operant Conditioning,Circuit analysis, Neuro computation,Aplysia.
Low-temperature ozonolyses of acetone,methylene chloride,or methylene chloride-methanol solutions of the title compound (1) were studied. Five different reaction workup procedures were employed,each of which afforded a different major product. The structures of five of the reaction products (or solid derivatives prepared therefrom), i.e.,compounds 3, 5, 6, 8,and 10,were established unequivocally via single crystal X-ray structural analysis. Polycyclic Compounds, X-ray structural analysis,Synthetic Intermediates,Mechanism,Low-temperature Ozonolysis.
A substantial number of results were obtained during this grant in the area of multivariate function estimation,model building and model identification. There were also invited talks at universities during which some of the results were discussed.
This research program has been concerned with the development of a new generation of computer-aided techniques for the dynamic analysis of complex structural systems. These techniques which use powerful symbolic processors such as MACSYMA are expected to facilitate the derivation and analysis of Greens functions of interconnected distributed parameter structures. The present approach uses integral methods to combine the transfer functions of the baseline structure with those of discrete substructure attachments in order to obtain the transfer function of the interconnected system. This resultant transfer function is then transformed into a form which lends itself easily to inverse Laplace transformation,yielding the Greens function of the interconnected system. Such algebraic results are expected to improve the understanding of the effects of substructure attachments e.g. active and passive vibration controllers,on the dynamics of large flexible structures.
The main lines of research undertaken during the period are:Probability Theory:Major advances were made in obtaining Edgeworth expansions in a variety of situations, e.g.,involving discrete variables,and errors in variables models. New limit theorems were established and their applications were discussed. Several contributions have been made to characterization theory. Linear Models and Time Series:New methods of forecasting were developed using dynamic linear models and multiple bilinear time series models. Multivariate Analysis:Topics of research in this area included inference on interclass and intraclass correlations and principal component analysis. M-estimation: A unified theory of robust inference (estimation and tests of hypotheses) was developed using a convex discrepancy function for minimization.
In December 1988,researchers at the Digital Mapping Laboratory,School of Computer Science at Carnegie-Mellon University began work on a 30month contract to explore the acquisition and utilization of spatial and functional knowledge for imagery analysis. Over the course of this grant,they have built on previous research in large-scale knowledge-based systems for the interpretation of aerial imagery. This previous work has focused on the automated analysis of airports and Suburban house scenes. Under this grant they have also addressed issues in knowledge acquisition,analysis and evaluation of system performance,and task-level parallelism for large-scale production systems.