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Full-Text Articles in Engineering
A Multi-Scale Approach For Recognizing Complex Annotations In Engineering Documents., Andrew Francis Laine, William Ball, Arun Kumar
A Multi-Scale Approach For Recognizing Complex Annotations In Engineering Documents., Andrew Francis Laine, William Ball, Arun Kumar
All Computer Science and Engineering Research
This paper describes a novel method of character recognition targeted for extracting complex annotations found in engineering documents. The results of this work will make it possible to capture the information contained in documents used to support facilities management and manufacturing. The recognition problem is made difficult in part because characters and text may be expressed in arbitrary fonts and orientations. Our approach includes a novel incremental strategy based on the multi-scale representation of wavelet decompositions. Our approach is motivated by biological mechanisms of the human visual systems. Using wavelets as a set of basis functions, we may decompose an …
Segment Streaming For Efficient Pipelined Televisualization, Fengmin Gong
Segment Streaming For Efficient Pipelined Televisualization, Fengmin Gong
All Computer Science and Engineering Research
The importance of scientific visualization for both science and engineering endeavors has been well recognized. Televisualization becomes necessary because of the physical distribution of data, computation resources, and users involved in the visualization process. However, televisualization poses a number of challenges to the designers of communication protocols. A pipelined televisualization (PTV) model is proposed for efficient implementation of a class of visualization applications. Central to the proposed research is the development of a segment of streaming IPC (interprocess communication) mechanism in support of efficient pipelining across very high speed internetworks. This requires exploration of special issues arising from extending a …
Highly Concurrent Logically Synchronous Multicast, Kenneth J. Goldman
Highly Concurrent Logically Synchronous Multicast, Kenneth J. Goldman
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We define the logically synchronous multicast problem, which imposes a natural and useful structure on message delivery order in an asynchronous system. In this problem, a computation proceeds by a sequence of multicasts, in which a process sends a message to some arbitrary subset of the processes, including itself. A logically synchronously multicast protocol must make it appear to every process as if each multicast occurs simultaneously at all participants of that multicast (sender plus receivers). Furthermore, if a process continually wishes to sends a message, it must eventually be permitted to do so. We present a highly concurrent solution …
Studies In The Hybrid Deterministic Parsing, Stan C. Kwasny, Anne M. Johnstone, Barry L. Kalman
Studies In The Hybrid Deterministic Parsing, Stan C. Kwasny, Anne M. Johnstone, Barry L. Kalman
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This report details research plans to extend work on hybrid deterministic parsing. The approach is hybrid in its combination of symbolic and sub-symbolic (connectionist) approaches. The research is investigating (1) new and more robust architectures for deterministic parsing which are hybrid mixtures of symbolic and sub-symbolic components, (2) combinations of syntax with lexical access and other components of natural language processing in order to determine how the distributed patterns of connectionism may enable better interfaces among these components, and (3) properties of the rules in the rule-based deterministic processing of natural language that make them most suitable for sub-symbolic training. …
Super Linear Learning In Back Propagation Neural Nets, Barry L. Kalman
Super Linear Learning In Back Propagation Neural Nets, Barry L. Kalman
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The important feature of this work is the combination of minimizing a function with desirable properties, using the conjugate gradient method (cgm). The method has resulted in significant improvements for both easy and difficult training tasks. Two major problems slow the rate at which large back propagation neural networks (bpnns) can be taught. First is the linear convergence of gradient descent used by modified steepest descent method (msdm). Second is the abundance of saddle points which occur because of the minimization of the sum of squared errors. This work offers a solution to both difficulties. The cgm which is super …
Btc Test Methodology, Gaurav Garg
Btc Test Methodology, Gaurav Garg
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This paper describes the testing methodology for the Broadcast Translation Circuit. It covers logic simulation, timing simulation, and a single push-button test for the device. The document is intended to be a supplement to documents WUCS-89-52 and WUCS-90-19, which outline the design of the BTC in full details. The intent of a push-button test is to have a single test that causes the device to process every type of packets that it could receive. This would include various combination of RC and OP fields, a test that examines every table entry thoroughly, as well as a test of the parity …
The Equivalence Of Connectionist Energy Minimization And Propositional Calculus Satisfiability, Gadi Pinkas
The Equivalence Of Connectionist Energy Minimization And Propositional Calculus Satisfiability, Gadi Pinkas
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Quadratic energy minimization is the essence of certain connectionist models. We define high order connectionist models to support the minimization of high order energy functions and we prove that high order energy functions are equivalent to quadratic ones. We show that the standard quadratic models can minimize high order functions using additional hidden units and we demonstrate trade-offs of size (number of hidden units), order of the model, and fan-out. We prove an equivalence between the problem of satisfiability in propositional calculus and the problem of minimization of energy functions. An energy function describes a Well Formed Formula (WFF) if …
The Wic Advisor: A Case Study In Medical Expert System Development, Elizabeth J. Mattson, Matthew M. Thomas, Sharon A. Trenz, Steve B. Cousins
The Wic Advisor: A Case Study In Medical Expert System Development, Elizabeth J. Mattson, Matthew M. Thomas, Sharon A. Trenz, Steve B. Cousins
All Computer Science and Engineering Research
This project provides a good case study of expert system development with untrained experts over a short period of time. We describe the development of a working medical screening and diagnosis expert system for use at the Women, Infants and Children (WIC) clinics in Madison County, Illinois. The system was designed and implemented over the period of four months. A large number of knowledge acquisition techniques were employed, some of them customized in ways that greatly increased their effectiveness. This paper explores the development of THE WIC Advisor, from problem definition through expert system delivery. The knowledge acquisition methods used …
A Simulation Testbed For Image Compression Algorithms, Andrew Francis Laine
A Simulation Testbed For Image Compression Algorithms, Andrew Francis Laine
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This paper presents an overview of the design and development of a real-time (30 frames/sec) simulation testbed for evaluating and comparing image compression algorithms. The system was motivated by the need to visualize the performance of a novel compression algorithm when operating on moving pictures originating from "live" video sources. The simulation utilities are designed to exploit the parallelism of a Pixar Image Computer and high-throughput of a parallel disk assembly. The design of two key utilities are discussed: (1) A program to format precomputed four channel (RGBA) 256 X 256 color frames onto a parallel disk assembly. (2) A …