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Articles 12391 - 12420 of 13653
Full-Text Articles in Entire DC Network
Cooperation Between Publishers And University Libraries, Tom Cochrane
Cooperation Between Publishers And University Libraries, Tom Cochrane
Proceedings of the IATUL Conferences
No abstract provided.
Libnet – Project Of The Major Russian Libraries Network, Yakov L. Shraiberg, Mikhail V. Goncharov
Libnet – Project Of The Major Russian Libraries Network, Yakov L. Shraiberg, Mikhail V. Goncharov
Proceedings of the IATUL Conferences
No abstract provided.
Iatul And The Academic Networks, Nancy Fjallbrant
Iatul And The Academic Networks, Nancy Fjallbrant
Proceedings of the IATUL Conferences
No abstract provided.
On Object Semantic Similarity In Heterogeneous Database Integration, Xiangning Lui, Omran A. Bukhres
On Object Semantic Similarity In Heterogeneous Database Integration, Xiangning Lui, Omran A. Bukhres
Department of Computer Science Technical Reports
No abstract provided.
Expected Values For Cache Miss Rates For A Single Trace (Technical Summary), Russell W. Quong
Expected Values For Cache Miss Rates For A Single Trace (Technical Summary), Russell W. Quong
Department of Electrical and Computer Engineering Technical Reports
The standard trace-driven cache simulation evaluates the miss rate of cache C on an address trace T for program P running on input data I with object-code address map M for P. We note that the measured miss rate depends significantly on the address mapping M set arbitrarily by the compiler and linker. In this paper, we remove the effect of the address-mapping on the miss rate by analyzing a symbolic trace T of basic blocks. By assuming each basic block has an equal probability of ending up anywhere in the cache,'we determine the average miss rate over all possible …
A Tutorial On Lisp Object-Oriented Programming For Blackboard Computation (Solving The Radar Tracking Problem) , P. R. Kersten, A. C. Kak
A Tutorial On Lisp Object-Oriented Programming For Blackboard Computation (Solving The Radar Tracking Problem) , P. R. Kersten, A. C. Kak
Department of Electrical and Computer Engineering Technical Reports
This exposition is a tutorial on how object-oriented programming (OOP) in Lisp can be used for programming a blackboard. Since we have used Common Lisp and the Common Lisp Object System (CLOS), the exposition demonstrates how object classes and the primary, before, and after methods associated with the classes can be used for this purpose. The reader should note that the different approaches to object-oriented programming share considerable similarity and, therefore, the exposition should be helpful to even those who may not wish to use CLOS. We have used the radar tracking problem as a 'medium' for explaining the concepts …
A Taxonomic And Analytical Survey Of Multidatabase Systems, Tony Schaller, Omran A. Bukhres, Jiansan Chen, Ahmed K. Elmagarmid
A Taxonomic And Analytical Survey Of Multidatabase Systems, Tony Schaller, Omran A. Bukhres, Jiansan Chen, Ahmed K. Elmagarmid
Department of Computer Science Technical Reports
No abstract provided.
The Integration Of Database Systems, Tony Schaller, Omran A. Bukhres, Ahmed K. Elmagarmid, Xiangning Liu
The Integration Of Database Systems, Tony Schaller, Omran A. Bukhres, Ahmed K. Elmagarmid, Xiangning Liu
Department of Computer Science Technical Reports
No abstract provided.
Design And Implementation Of A Threads Library, Janche Sang, Felipe Knop, Vernon Rego
Design And Implementation Of A Threads Library, Janche Sang, Felipe Knop, Vernon Rego
Department of Computer Science Technical Reports
No abstract provided.
Applicant's Guide To Traffic Impact Studies, Soumya Sekhar Dey, Jon D. Fricker
Applicant's Guide To Traffic Impact Studies, Soumya Sekhar Dey, Jon D. Fricker
JTRP Technical Reports
No abstract provided.
Pns Modules For The Synthesis Of Parallel Self-Organizing Hierarchical Neural Networks, Faramarz Valafar, Okan K. Ersoy
Pns Modules For The Synthesis Of Parallel Self-Organizing Hierarchical Neural Networks, Faramarz Valafar, Okan K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
The PNS module is discussed as the building block for the synthesis of parallel, selforganizing, hierarchical, neural networks (PSHNN). The PNS consists of a prerejector (P-unit), a neural network (N-unit) and a statistical analysis unit (S-unit). The last two units together are also referred to as the NS unit. The P- and NS-units are fractile in nature, meaning that each such unit may itself consist of a number of parallel PNS modules. Through a mechanism of statistical acceptance or rejection of input vectors for classification, the sample space is divided into a number of subspaces. The input vectors belonging to …
The 1981, 1986, And 1990 Long Term Plans Of The Department Of Computer Sciences, John R. Rice
The 1981, 1986, And 1990 Long Term Plans Of The Department Of Computer Sciences, John R. Rice
Department of Computer Science Technical Reports
No abstract provided.
Some Experiments With A Basic Linear Algebra Routine On Distributed Memory Parallel Systems, H. Byun, Elias N. Houstis, E. A. Vavalis
Some Experiments With A Basic Linear Algebra Routine On Distributed Memory Parallel Systems, H. Byun, Elias N. Houstis, E. A. Vavalis
Department of Computer Science Technical Reports
No abstract provided.
Shastra -- An Architecture For Deveopment Of Collaborative Appplications, Vinod Anupam, Chandrajit L. Bajaj
Shastra -- An Architecture For Deveopment Of Collaborative Appplications, Vinod Anupam, Chandrajit L. Bajaj
Department of Computer Science Technical Reports
No abstract provided.
A Neural Network Approach To Stationary Target Discrimination, Douglas J. Munro, Okan K. Ersoy
A Neural Network Approach To Stationary Target Discrimination, Douglas J. Munro, Okan K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
The problem which motivated this research was that of stationary target identification (STI) with millimeter wave seekers in a heavy clutter environment. While investigating the use of neural networks to perform target discrimination phase for ST1 problem, we began to search for a method to reduce the computational overhead associated with training a neural network to recognize low probability events. Our search yielded the development of a likelihood ratio weighting function (LRWF), which is very similar to the weighting function used in importance sampling techniques employed in the simulation of digital communication systems. By incorporating the LRWF into the backpropagation …
The Third International Conference On Expert Systems For Numerical Computing, Elias N. Houstis, John R. Rice, Robert Vichnevetsky
The Third International Conference On Expert Systems For Numerical Computing, Elias N. Houstis, John R. Rice, Robert Vichnevetsky
Department of Computer Science Technical Reports
No abstract provided.
Computing Multiple Quadratic Forms For A Minimum Variance Distortionless Response Adaptive Beamformer Using Parallelism: Analyses And Experiments, Mu-Cheng Wang, Wayne G. Nation, James B. Armstrong, Howard Jay Siegel, Shin-Dug Kim, Mark A. Nichols, Michael Gherrity
Computing Multiple Quadratic Forms For A Minimum Variance Distortionless Response Adaptive Beamformer Using Parallelism: Analyses And Experiments, Mu-Cheng Wang, Wayne G. Nation, James B. Armstrong, Howard Jay Siegel, Shin-Dug Kim, Mark A. Nichols, Michael Gherrity
Department of Electrical and Computer Engineering Technical Reports
Data-parallel implementations of the computationally intensive task of solving multiple quadratic forms (MQFs) have been examined. Coupled and uncoupled parallel methods are investigated, where coupling relates to the degree of interaction among the processors. Also, the impact of partitioning a large MQF problem into smaller non-interacting subtasks is studied. Trade-offs among the implementations for various data-size/machine-size ratios are categorized in terms of complex arithmetic operation counts, communication overhead, and memory storage requirements. Furthermore, the impact on performance of the mode of parallelism used is considered, specifically, SIMD versus MIMD versus SIMD/MIMD mixed-mode. From the complexity analyses, it is shown that …
Broadcast Methods In The Multiswitch Point-To-Point Network, Douglas E. Comer, Victor Norman
Broadcast Methods In The Multiswitch Point-To-Point Network, Douglas E. Comer, Victor Norman
Department of Computer Science Technical Reports
No abstract provided.
On The Multisearching Problem For Hypercubes, Mikhail J. Atallah, Andreas Fabri
On The Multisearching Problem For Hypercubes, Mikhail J. Atallah, Andreas Fabri
Department of Computer Science Technical Reports
No abstract provided.
Some Experiments With A Basic Linear Algebra Routine On Distributed Memory Parallel Systems, H. Byun, Elias N. Houstis, E. A. Vavalis
Some Experiments With A Basic Linear Algebra Routine On Distributed Memory Parallel Systems, H. Byun, Elias N. Houstis, E. A. Vavalis
Department of Computer Science Technical Reports
No abstract provided.
On A Quantitative Model Of Dynamic System Reconfiguration Due To A Fault, Gene Saghi, Howard Jay Siegel, Jose A. B. Fortes
On A Quantitative Model Of Dynamic System Reconfiguration Due To A Fault, Gene Saghi, Howard Jay Siegel, Jose A. B. Fortes
Department of Electrical and Computer Engineering Technical Reports
The use of dynamic reconfiguration has been proposed to tolerate faults in large-scale partitionable parallel processing systems. If a processor develops a permanent fault during the execution of a task on a submachine A, three recovery options are migration of the task to another submachine, task migration to a subdivision of A, and redistribution of the task among the fault-free processors in A. Quantitative models of these reconfiguration schemes are developed to consider what information is needed to make a choice among these methods for a practical implementation. It is pointed out that in certain situations collecting precise values for …
Optimal Parallel Hypercube Algorithms For Polygon Problems, Mikhail J. Atallah, Danny Z. Chen
Optimal Parallel Hypercube Algorithms For Polygon Problems, Mikhail J. Atallah, Danny Z. Chen
Department of Computer Science Technical Reports
No abstract provided.
Parallel Electronic Prototyping Of Physical Objects, Poting Wu, Elias N. Houstis
Parallel Electronic Prototyping Of Physical Objects, Poting Wu, Elias N. Houstis
Department of Computer Science Technical Reports
No abstract provided.
Building A Large Scale Distributed Object System For A Multilingual Programming Environment, Patrick A. Muckelbauer, Vincent F. Russo
Building A Large Scale Distributed Object System For A Multilingual Programming Environment, Patrick A. Muckelbauer, Vincent F. Russo
Department of Computer Science Technical Reports
No abstract provided.
Risk Allocation, Robert L. Bowen, John E. Kupke
Risk Allocation, Robert L. Bowen, John E. Kupke
Purdue Road School
No abstract provided.
The Application Of Osha, Epa, And Dot Training Requirements To Highway Department Operations, Lynn A. Corson
The Application Of Osha, Epa, And Dot Training Requirements To Highway Department Operations, Lynn A. Corson
Purdue Road School
No abstract provided.
Institutional Issues Affecting The Implementation Of Ivhs Technologies To Commercial Vehicle Operations In The State Of Indiana, James G. Kavalaris
Institutional Issues Affecting The Implementation Of Ivhs Technologies To Commercial Vehicle Operations In The State Of Indiana, James G. Kavalaris
Purdue Road School
No abstract provided.
[Partnering], Donald G. Scott
Supporting Distributed Transaction Dependencies And Security Constraints: A Knowledge Base Approach, Noureddine Boudriga, Omran Bukhres
Supporting Distributed Transaction Dependencies And Security Constraints: A Knowledge Base Approach, Noureddine Boudriga, Omran Bukhres
Department of Computer Science Technical Reports
No abstract provided.
A Parallel Implementation Of Backpropagation Neural Network On Maspar Mp-1, Faramarz Valafar, Okan K. Ersoy
A Parallel Implementation Of Backpropagation Neural Network On Maspar Mp-1, Faramarz Valafar, Okan K. Ersoy
Department of Electrical and Computer Engineering Technical Reports
One of the major issues in using artificial neural networks is reducing the training and the testing times. Parallel processing is the most efficient approach for this purpose. In this paper, we explore the parallel implementation of the backpropagation algorithm with and without hidden layers [4][5] on MasPar MP-I. This implementation is based on the SIMD architecture, and uses a backpropagation model which is more exact theoretically than the serial backpropagation model. This results in a smoother convergence to the solution. Most importantly, the processing time is reduced both theoretically and experimentally by the order of 3000, due to architectural …