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Articles 9781 - 9810 of 12095
Full-Text Articles in Entire DC Network
Data On English To Japanese Transliteration Of Technical Terminology, Yun-Sun Kang, Anthony A. Maciejewski
Data On English To Japanese Transliteration Of Technical Terminology, Yun-Sun Kang, Anthony A. Maciejewski
Department of Electrical and Computer Engineering Technical Reports
No abstract.
Observing Reusable Password Choices, Eugene H. Spafford
Observing Reusable Password Choices, Eugene H. Spafford
Department of Computer Science Technical Reports
No abstract provided.
Why That Expression Has This Type, And How It Got It, Mike Beaven
Why That Expression Has This Type, And How It Got It, Mike Beaven
Department of Computer Science Technical Reports
No abstract provided.
A Data Structure For Dynamically Maintaining Rooted Trees, Greg N. Frederickson
A Data Structure For Dynamically Maintaining Rooted Trees, Greg N. Frederickson
Department of Computer Science Technical Reports
No abstract provided.
Piecewise Rational Approximations Of Real Algebraic Curves, Chanderjit L. Bajaj, Guoliang Xu
Piecewise Rational Approximations Of Real Algebraic Curves, Chanderjit L. Bajaj, Guoliang Xu
Department of Computer Science Technical Reports
No abstract provided.
On Global Transaction Scheduling Criteria In Multidatabase Systems, Aidong Zhang, Ahmed K. Elmagarmid
On Global Transaction Scheduling Criteria In Multidatabase Systems, Aidong Zhang, Ahmed K. Elmagarmid
Department of Computer Science Technical Reports
No abstract provided.
On Structure Features Of Global Transactions In Multidatabase Systems, Aidong Zhang, Jin Jing
On Structure Features Of Global Transactions In Multidatabase Systems, Aidong Zhang, Jin Jing
Department of Computer Science Technical Reports
No abstract provided.
Lower Bounds On Threshold And Related Circuits Via Communication Complexity, V. P. Roychowdhury, K. Y. Siu, A. Orlitsky
Lower Bounds On Threshold And Related Circuits Via Communication Complexity, V. P. Roychowdhury, K. Y. Siu, A. Orlitsky
Department of Electrical and Computer Engineering Technical Reports
Communication-complexity definitions and arguments are used to derive linear (Q(n)) and almost-linear (Q(n/ log n)) lower bounds on the size of circuits implementing certain functions. The techniques utilize only basic features of the gates used and of the functions implemented hence apply to a large class of gates (including unbounded fan-in AND/OR, threshold, symmetric, and generalized symmetric) and to a large class of functions (including equality, comparison, and inner product mod 2). Each of the bounds derived is shown to be tight for some functions and some applications to threshold-circuit complexity are indicated. The results generalize and in some cases …
Self-Aligned Single Crystal Contacted High-Speed Silicon Bipolar Transistor Utilizing Selective (Seg) And Confined Selective Epitaxial Growth (Clseg), James W. Siekkinen, Gerold W. Neudeck
Self-Aligned Single Crystal Contacted High-Speed Silicon Bipolar Transistor Utilizing Selective (Seg) And Confined Selective Epitaxial Growth (Clseg), James W. Siekkinen, Gerold W. Neudeck
Department of Electrical and Computer Engineering Technical Reports
A new high-speed bipolar transistor structure, the ELOBJT-3, is proposed as a novel application of selective epitaxy technology. The new structure is greatly suited to high-speed ECL circuits, where Ccb, C,, and Rbx are of prime importance. The reduction of these parasitics to their nearly theoretical minimums is accomplished through the use of dielectric isolation and concentric contacting. For extremely high speed operation, dimensions can be scaled to sub-micron size due to the completely self-aligned emitter-base region. Simulation was used to compare important device parameters of the ELOBJT-3 device and a comparably sized existing high speed bipolar structure. Results showed …
Report Of The Purdue Workshop On Grand Challenges In Computer Architecture! For The Support Of High Performance Computing, Howard Jay Siege1, Seth Abraham, William L. Bain, Kenneth E. Batcher, Thomas L. Casavant, Doug Degroot, Jack B. Dennis, David C. Douglas, Tse-Yun Feng, James R. Goodman, Alan Huang, Harry F. Jordan, J. Robert Jump, Yale N. Patt, Alan Jay Smith, James E. Smith, Lawrence Snyder, Harold S. Stone, Russ Tuck, Benjamin W. Wah
Report Of The Purdue Workshop On Grand Challenges In Computer Architecture! For The Support Of High Performance Computing, Howard Jay Siege1, Seth Abraham, William L. Bain, Kenneth E. Batcher, Thomas L. Casavant, Doug Degroot, Jack B. Dennis, David C. Douglas, Tse-Yun Feng, James R. Goodman, Alan Huang, Harry F. Jordan, J. Robert Jump, Yale N. Patt, Alan Jay Smith, James E. Smith, Lawrence Snyder, Harold S. Stone, Russ Tuck, Benjamin W. Wah
Department of Electrical and Computer Engineering Technical Reports
The Purdue Workshop on Grand Challenges in Computer Architecture fbr the Support of High Performance Computing was held at Purdue University on December 12 and 13, 1991. The workshop was sponsored by the National Science Foundation to identify critical research topics in computer architecture as they relate to high performance computing. After a wide-ranging discussion of the computational characteristics and requirements of the grand challenge applications, four major architectural challenges were identified as crucial to advancing the state of the art of high performance computation in the coming decade. These computer architecture grand challenges are summarized below. Challenge I : …
Classification Of Linearly Non-Separable Patterns By Linear Threshold Elements, Vwani P. Roychowdhury, Kai-Yeung Siu, Thomas Kailath
Classification Of Linearly Non-Separable Patterns By Linear Threshold Elements, Vwani P. Roychowdhury, Kai-Yeung Siu, Thomas Kailath
Department of Electrical and Computer Engineering Technical Reports
Learning and convergence properties of linear threshold elements or percept,rons are well understood for the case where the input vectors (or the training sets) to the perceptron are linearly separable. However, little is known about the behavior of a linear threshold element when the training sets are linearly non-separable. In this paper we present the first known results on the structure of linearly non-separable training sets and on the behavior of perceptrons when the set of input vectors is linearly non-separable. More precisely, we show that using the well known perceptron learning algorithm a linear threshold element can learn the …
A Practical Approach To Ll(K); Llm(N), Terence J. Parr, Henry G. Dieb
A Practical Approach To Ll(K); Llm(N), Terence J. Parr, Henry G. Dieb
Department of Electrical and Computer Engineering Technical Reports
In terms of recognition strength, LL techniques are widely held to be inferior to LR parsers. The fact that any LR (k) grammar can be rewritten to be LR (I), whereas LL(k) is stronger than LL (I), appears to give LR techniques the additional benefit of not requiring k-token lookahead and its associated ovehead. In this paper, we suggest that LL(k) is actually superior to LR (1) when translation, rather than acceptance, is the goal. Further, a practical method of generating efficient LL(k) parsers is presented. This practical approach is based on the fact that most parsing decisions in a …
Coding Multiway Branches Using Customized Hash Functions, H. G. Dietz
Coding Multiway Branches Using Customized Hash Functions, H. G. Dietz
Department of Electrical and Computer Engineering Technical Reports
In most modem languages, there is a construct that allows the programmer to directly represent a multiway branch based on the value of an expression. In Pascal, it is the case statement; in C:, it is the switch and in Fortran-90 the SELECT. However, it is quite common that the efficiency of these constructs is far worse than one might reasonably expeat. This paper discusses the construction and use of customized hash functions to consistently improve execution speedl and reduce memory usage for such consuucts. Performance results are given, including some that lead to the suggestion that adding a population …
Frames: A Simple Characterization Of Permutations Realized By Frequently Used Networks, Hasan Cam, Jose A.B. Fortes
Frames: A Simple Characterization Of Permutations Realized By Frequently Used Networks, Hasan Cam, Jose A.B. Fortes
Department of Electrical and Computer Engineering Technical Reports
Rearrangeable multistage interconnection networks such as the Benes network realize any permutation, yet their routing algorithms are not cost-effective. On the other hand, non-rearrangeable networks can have inexpensive routing algorithms, but no simple technique exists to characterix all the permutations realized on these netwarks. This paper introduces the concept of frame and shows how iit can be used to characterize all the permutations realized on various multistage inteirconnection networks. They include any subnetwork of the Benes network, the class of networks that are topologically equivalent to the baseline network, and cascaded baseline and shuffle-exchange networks. The question of how the …
Evidence That Free Fatty Acid-Iron Complexes Directly Initiate Lipid Peroxidation In Vitro And In Vivo: A New Mechanism Of Oxidative Stress, Steven C. Salaris, Charles F. Babbs, Joann Pham, John J. Turek
Evidence That Free Fatty Acid-Iron Complexes Directly Initiate Lipid Peroxidation In Vitro And In Vivo: A New Mechanism Of Oxidative Stress, Steven C. Salaris, Charles F. Babbs, Joann Pham, John J. Turek
Weldon School of Biomedical Engineering Faculty Working Papers
Through a series of biochemical and histochemical experiments we explored the novel hypothesis that iron and free fatty acids, liberated after tissue injury, combine to form liposoluble complexes that directly initiate lipid peroxidation. The addition of 100 M ferric iron to 30 mM linoleate suspensions at pH 7.4 produced time dependent lipid peroxidation, measured as conjugated diene formation. Complexes of 100 M ferric iron and 600 M pentanoate also initiated formation of conjugated dienes in linoleate suspensions and formation of malondialdehyde-like materials in rat liver slices. A histochemical stain for free fatty acids revealed positive reactions within cell membranes in …
Linear Assignment Problem Revisited: Average (1 + 1/E)-Out Degree Bipartite Graph Has A Perfect Match, Michael Karoński, Wojciech Szpankowski
Linear Assignment Problem Revisited: Average (1 + 1/E)-Out Degree Bipartite Graph Has A Perfect Match, Michael Karoński, Wojciech Szpankowski
Department of Computer Science Technical Reports
No abstract provided.
Nurbs Approximation Of Surface/Surface Intersection Curves, Chandrajit L. Bajaj, Gualiang Xu
Nurbs Approximation Of Surface/Surface Intersection Curves, Chandrajit L. Bajaj, Gualiang Xu
Department of Computer Science Technical Reports
No abstract provided.
Exact Arithmetic Solid Modeling (Ph.D. Thesis), Juixun, Yu
Exact Arithmetic Solid Modeling (Ph.D. Thesis), Juixun, Yu
Department of Computer Science Technical Reports
No abstract provided.
Parallel Iterative Methods, N. P. Christochoides, Elias N. Houstis, S. B. Kim, M. K. Samartzis, John R. Rice
Parallel Iterative Methods, N. P. Christochoides, Elias N. Houstis, S. B. Kim, M. K. Samartzis, John R. Rice
Department of Computer Science Technical Reports
No abstract provided.
Iterative Interlacing Error Diffusion For Synthesis Of Computer-Generated Holograms, M. P. Chang, O. K. Ersoy
Iterative Interlacing Error Diffusion For Synthesis Of Computer-Generated Holograms, M. P. Chang, O. K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
The iterative interlacing error diffusion (IIED) technique consists of th,e combination of the error diffusion (ED) and the modified iterative interlacing (IIT) techniques to synthesize computer-generated holograms. The IIED technique leads to a fiairly dramatic improvement in the quality of reconstructed images provided that the two constant parameters involved in iterations are properly chosen.
An Application Of Program Unification To Priority Queue Vectorization, Ling-Yu Chuang, Vernon J. Rego, Aditya P. Mathur
An Application Of Program Unification To Priority Queue Vectorization, Ling-Yu Chuang, Vernon J. Rego, Aditya P. Mathur
Department of Computer Science Technical Reports
No abstract provided.
Minimizing Total Wire Length During 1-Dimensional Compaction, Susanne E. Hambrusch, Hung-Yi Tu
Minimizing Total Wire Length During 1-Dimensional Compaction, Susanne E. Hambrusch, Hung-Yi Tu
Department of Computer Science Technical Reports
No abstract provided.
Future Research Directions In Problem Solving Environments For Computational Science, Stratis Gallopoulos, Elias N. Houstis, John R. Rice
Future Research Directions In Problem Solving Environments For Computational Science, Stratis Gallopoulos, Elias N. Houstis, John R. Rice
Department of Computer Science Technical Reports
No abstract provided.
Optimally Computing The Shortest Weakly Visible Subedge For A Simple Polygon, Danny Z. Chen
Optimally Computing The Shortest Weakly Visible Subedge For A Simple Polygon, Danny Z. Chen
Department of Computer Science Technical Reports
No abstract provided.
Unified Stochastic Simulations For Vector Machines: Empirical Results, Vernon J. Rego, Ling-Yu Chuang, Aditya P. Mathur
Unified Stochastic Simulations For Vector Machines: Empirical Results, Vernon J. Rego, Ling-Yu Chuang, Aditya P. Mathur
Department of Computer Science Technical Reports
No abstract provided.
Nonlinear Adaptive Signal Processing, S.-W. Deng, O.K. Ersoy
Nonlinear Adaptive Signal Processing, S.-W. Deng, O.K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
Nonlinear techniques for signal processing and recognition have the promise of achieving systems which are superior to linear systems in a number of ways such as better performance in terms of accuracy, fault tolerance, resolution, highly parallel architectures and cloker similarity to biological intelligent systems. The nonlinear techniques proposed are in the form of multistage neural networks in which each stage can be a particular neural network and all the stages operate in parallel. The specific approach focused upon is the parallel, self-organizing, hierarchical neural networks (PSHNN's). A new type of PSHNN is discussed such that the outputs are allowed …
Modeling The Darpa Diesel Engine In Proengineer, Christoph M. Hoffmann
Modeling The Darpa Diesel Engine In Proengineer, Christoph M. Hoffmann
Department of Computer Science Technical Reports
No abstract provided.
A Vml Based Implementation Of A Neural Network Library On General Purpose Parallel Processors, H. Byun, S. K. Kortesis, Elias N. Houstis
A Vml Based Implementation Of A Neural Network Library On General Purpose Parallel Processors, H. Byun, S. K. Kortesis, Elias N. Houstis
Department of Computer Science Technical Reports
No abstract provided.
Final Report To The Army Research Office: Intelligent Decision Strategies And Some Applications, R. L. Kashyap
Final Report To The Army Research Office: Intelligent Decision Strategies And Some Applications, R. L. Kashyap
Department of Electrical and Computer Engineering Technical Reports
No abstract available.
Conjugate-Gradi3nt Neural Networks In Classification Of Multisource And Very-High-Dimensional Remote Sensing Data, Jon A, Benediktsson, Philip H. Swain, Okan K. Ersoy
Conjugate-Gradi3nt Neural Networks In Classification Of Multisource And Very-High-Dimensional Remote Sensing Data, Jon A, Benediktsson, Philip H. Swain, Okan K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
Application of neural networks to classification of remote sensing data is discussed. Convkntional tw+layer backpropagation is found to give good results in ~lassificationo f remote sensing data but is not efficient in training. A more efficient variant, based on conjugate-gradient optimization, is used for classification of nsultisource remote sensing and gedgraphic data and veryhigh- dimensional data. The conjugate-gradient neural networks give excellent performance in classification of multisource data but do not compare as well with statistical methods in classifictition of very-high-dimensional data.