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Articles 43621 - 43650 of 50088
Full-Text Articles in Entire DC Network
Application Calling, Michael E. Hussey, John C. Lindenlaub
Application Calling, Michael E. Hussey, John C. Lindenlaub
Department of Electrical and Computer Engineering Technical Reports
The motivation for the development of Application Calling grew from an interest in offering a large number of users access to software on an AppleTalk network. The goal of Application Calling was to give access to applications and yet: • limit the disk space requirements • protect software vendors from unauthorized copying of software • maintain the standard Macintosh interface • allow for easy software updates Application Calling does this by using a different method of accessing software. Instead of every user having a copy of an application, every user has a copy of a small file which launches or …
Approximation Methods For Algebraic Curves And Surfaces, Chandrajit L. Bajaj
Approximation Methods For Algebraic Curves And Surfaces, Chandrajit L. Bajaj
Department of Computer Science Technical Reports
No abstract provided.
Embedding Complete Binary Trees Into Butterfly Networks, Ajay K. Gupta, Susanne E. Hambrusch
Embedding Complete Binary Trees Into Butterfly Networks, Ajay K. Gupta, Susanne E. Hambrusch
Department of Computer Science Technical Reports
No abstract provided.
On Computing Longest Common Subsequences In Linear Space, A. Apostolico, S. Browne, C. Guerra
On Computing Longest Common Subsequences In Linear Space, A. Apostolico, S. Browne, C. Guerra
Department of Computer Science Technical Reports
No abstract provided.
On The Geometry Of Dupin Cyclides, V. Chandru, D. Dutta, Christoph M. Hoffmann
On The Geometry Of Dupin Cyclides, V. Chandru, D. Dutta, Christoph M. Hoffmann
Department of Computer Science Technical Reports
No abstract provided.
The Use Of Intensity Techniques For Noise Source Identification In Small Machinery, Urs D. Dietschi, J Stuart Bolton
The Use Of Intensity Techniques For Noise Source Identification In Small Machinery, Urs D. Dietschi, J Stuart Bolton
Publications of the Ray W. Herrick Laboratories
Intensity techniques are now widely used for two purposes: sound power determination and source identification. The work described in this presentation illustrates an application of the latter type. As part of a noise control program for a small domestic appliance, a narrow‐band intensity measurement system was developed based on a face‐to‐face microphone probe, a two‐channel FFT analyzer, and a personal computer. The probe was used to measure the nearfield normal intensity on planes parallel to the device's major surfaces. Graphical display of these data allowed the radiated sound field to be visualized at any desired frequency. Further, it was possible …
Experimental Evaluation Of Simd Pe-Mask Generation And Hybrid Mode Parallel Computing On Multi- Microprocessor Systems, Samuel A. Fineberg, Thomas L. Casavant, Howard Jay Siegel
Experimental Evaluation Of Simd Pe-Mask Generation And Hybrid Mode Parallel Computing On Multi- Microprocessor Systems, Samuel A. Fineberg, Thomas L. Casavant, Howard Jay Siegel
Department of Electrical and Computer Engineering Technical Reports
Experimentation aimed at determining the potential efficiency of multi-microprocessor designs of SIMD machines is reported. The experimentation is based on timing measurements made on the PASM system prototype at Purdue. The application used to measure and evaluate this phenomenon was bitonic sorting, which has feasible solutions in both SIMD and MIMD modes of computation, as well as in at least two hybrids of SlMD and MIMD modes. Bitonic sorting was coded in these four ways and experiments were performed that examine the tradeoffs among all of these modes. Also, a new PE mask generation scheme for multiple "of-the-shelf" microprocessor based …
Applications Of Simple Markov Models To Computer Vision, Manoel F. Tenorio, Craig W. Codrington
Applications Of Simple Markov Models To Computer Vision, Manoel F. Tenorio, Craig W. Codrington
Department of Electrical and Computer Engineering Technical Reports
In this report we advocate the use of computationally simple algorithms for computer vision, operating in parallel. The design of these algorithms is based on physical constraints present in the image and object spaces. In particular, we discuss the design, implementation, and performance of a Markov Random Field based algorithm for low level segmentation. In addition to having a simple and fast implementation, the algorithm is flexible enough to allow intensity information to be fused with motion and edge information from other sources.
Model For An Intelligent Operating System For Executing Tasks On A Reconfigurable Parallel Architecture, C. Henry Chu, Edward J. Delp, Leah H. Jamieson, Howard Jay Siegel, Frank J. Weil, Andrew B. Whinston
Model For An Intelligent Operating System For Executing Tasks On A Reconfigurable Parallel Architecture, C. Henry Chu, Edward J. Delp, Leah H. Jamieson, Howard Jay Siegel, Frank J. Weil, Andrew B. Whinston
Department of Electrical and Computer Engineering Technical Reports
Parallel processing is one approach to achieve the large computational processing capabilities required by many real-time computing tasks. One of the problems that must be addressed in the use of reconfigurable multiprocessor systems is matching the architecture configuration to the algorithms to be executed. This paper presents a conceptual model that explores the potential of artificial intelligence tools, specifically expert systems, to design an Intelligent Operating System for multiprocessor systems. The target task is the implementation of image understanding systems on multiprocessor architectures. PASM is used as an example multiprocessor. The Intelligent Operating System concepts developed here could also be …
An Event-Action Model And Associated Architecture For Monitoring Parallel And Distributed Systems, Dan C. Marinescu, James E. Lumpp, Thomas L. Casavant, Howard Jhay Siegel
An Event-Action Model And Associated Architecture For Monitoring Parallel And Distributed Systems, Dan C. Marinescu, James E. Lumpp, Thomas L. Casavant, Howard Jhay Siegel
Department of Computer Science Technical Reports
No abstract provided.
On An Ssor Matari Relationship And Its Consequences, S. Galanis, A. Hadjidimos, D. Noutsos
On An Ssor Matari Relationship And Its Consequences, S. Galanis, A. Hadjidimos, D. Noutsos
Department of Computer Science Technical Reports
No abstract provided.
Parallel Algorithms For Evaluating Sequences Of Set-Manipulation Operations, Mikhail J. Atallah, Michael T. Goodrich, S. Rao Kosaraju
Parallel Algorithms For Evaluating Sequences Of Set-Manipulation Operations, Mikhail J. Atallah, Michael T. Goodrich, S. Rao Kosaraju
Department of Computer Science Technical Reports
No abstract provided.
Are You Getting Your Money's Worth In Street Construction, Charles F. Scholer
Are You Getting Your Money's Worth In Street Construction, Charles F. Scholer
Indiana Local Technical Assistance Program (LTAP) Publications
A presentation on how to have an effective quality assurance program for street construction.
On Local Implicit Approximation And Its Applications, Jung Hong Chuang, Christoph M. Hoffmann
On Local Implicit Approximation And Its Applications, Jung Hong Chuang, Christoph M. Hoffmann
Department of Computer Science Technical Reports
No abstract provided.
A "Generalization" Of The Patel-Jordan Parallel Iterative Technique, John P. Bonomo, Wayne R. Dyksen
A "Generalization" Of The Patel-Jordan Parallel Iterative Technique, John P. Bonomo, Wayne R. Dyksen
Department of Computer Science Technical Reports
No abstract provided.
A Note On The Complexity Of A Simple Transportation Problem, Greg N. Frederickson
A Note On The Complexity Of A Simple Transportation Problem, Greg N. Frederickson
Department of Computer Science Technical Reports
No abstract provided.
Computations With Algebraic Curves, Shreeram S. Abhyankar, Chandrajit L. Bajaj
Computations With Algebraic Curves, Shreeram S. Abhyankar, Chandrajit L. Bajaj
Department of Computer Science Technical Reports
No abstract provided.
Task Planner For Simultaneous Fulfillment Of Operational, Geometric And Uncertainty-Reduction Goals, S. A. Hutchinson, A. C. Kak
Task Planner For Simultaneous Fulfillment Of Operational, Geometric And Uncertainty-Reduction Goals, S. A. Hutchinson, A. C. Kak
Department of Electrical and Computer Engineering Technical Reports
Our ultimate goal in robot planning is to develop a planner which can create complete assembly plans given as input a high level description of assembly goals, geometric models of the components of the assembly, and a description of the capabilities of the work cell (including the robot and the sensory system). In this paper, we introduce SPAR, a planning system which reasons about high level operational goals, geometric goals and uncertainty-reduction goals in order to create assembly plans which consist of manipulations as well as sensory operations when appropriate. Operational planning is done using a nonlinear, constraint posting planner. …
Simplification Of Manipulator Dynamic Model For Nonlinear Decoupled Control, J. W. Jeon, C S. G. Lee
Simplification Of Manipulator Dynamic Model For Nonlinear Decoupled Control, J. W. Jeon, C S. G. Lee
Department of Electrical and Computer Engineering Technical Reports
This paper presents the development of simplified manipulator dynamic models which satisfy the desired steady-state error specification in the joint-variable space or in the Cartesian space under a nonlinear decoupled controller. The formulae which relate the tracking errors of joint variables in the joint-variable space or the manipulator hand in the Cartesian space to the dynamic modeling errors are first developed. Using these formulae, we derive the maximum error tolerance for each dynamic coefficient of the equations of motion. Then each simplified dynamic coefficient of the equations of motion can be expressed as a linear combination of the product terms …
A Lower Bound On Embedding Tree Machines With Balanced Processor Utilization, Ajay K. Gupta, Susanne E. Hambrusch
A Lower Bound On Embedding Tree Machines With Balanced Processor Utilization, Ajay K. Gupta, Susanne E. Hambrusch
Department of Computer Science Technical Reports
No abstract provided.
Efficient Algorithms For Hybrid Data/Voice Transmissions, Andrzej Kusiuk, Wojciech Szpankowski
Efficient Algorithms For Hybrid Data/Voice Transmissions, Andrzej Kusiuk, Wojciech Szpankowski
Department of Computer Science Technical Reports
No abstract provided.
Output-Sensitive Hidden Surface Elimination For Rectangles, Mikhail J. Atallah, Michael T. Goodrich
Output-Sensitive Hidden Surface Elimination For Rectangles, Mikhail J. Atallah, Michael T. Goodrich
Department of Computer Science Technical Reports
No abstract provided.
Semi-Automatic Process Decomposition For Non-Shared Memory Machines, Charles Koelbel, Piyush Mehrotra
Semi-Automatic Process Decomposition For Non-Shared Memory Machines, Charles Koelbel, Piyush Mehrotra
Department of Computer Science Technical Reports
No abstract provided.
A Formalism For Describing Data Distribution, Charles Koelbel
A Formalism For Describing Data Distribution, Charles Koelbel
Department of Computer Science Technical Reports
No abstract provided.
Time-Varying Images: The Effect Of Finite Resolution On Uniqueness, Chia-Hoang Lee
Time-Varying Images: The Effect Of Finite Resolution On Uniqueness, Chia-Hoang Lee
Department of Computer Science Technical Reports
No abstract provided.
Analysis Of A Two Level Asynchronous Algorithm For Pdes, John R. Rice, Dan C. Marineseu
Analysis Of A Two Level Asynchronous Algorithm For Pdes, John R. Rice, Dan C. Marineseu
Department of Computer Science Technical Reports
No abstract provided.
An Optimal Parallel Algorithm For Preemptive Job Scheduling That Minimizes Maximum Lateness, Susan Rodger
An Optimal Parallel Algorithm For Preemptive Job Scheduling That Minimizes Maximum Lateness, Susan Rodger
Department of Computer Science Technical Reports
No abstract provided.
A User Guide To The Algorithm Mapper: A System For Modeling And Evaluating Parallel Applications/Architecture Pairs, C. E. Houstis, Elias N. Houstis, John R. Rice, S. M. Samartizis, D.L. Alexandrakis
A User Guide To The Algorithm Mapper: A System For Modeling And Evaluating Parallel Applications/Architecture Pairs, C. E. Houstis, Elias N. Houstis, John R. Rice, S. M. Samartizis, D.L. Alexandrakis
Department of Computer Science Technical Reports
No abstract provided.
Symbolic Analysis Of Large-Scale Networks, M. M. Hassoun, P. M. Lin
Symbolic Analysis Of Large-Scale Networks, M. M. Hassoun, P. M. Lin
Department of Electrical and Computer Engineering Technical Reports
A new approach to the problem of symbolic circuit analysis of large-scale circuits is presented in this report. The methodology has been implemented in a computer program called SCAPP (Symbolic Circuit Analysis Program with Partitioning). The method solves the problem by utilizing a hierarchical network approach and the sequence of expressions concept rather than a topological approach and the single expression idea which have dominated symbolic analysis in the past. The method employs further modifications to the modified nodal analysis (MNA) technique by allowing ideal opamps in the matrix formulation process and introducing the reduced modified analysis matrix (RMNA). The …
On-Line Object Feature Extraction For Multispectral Scene Representation, Hassan Ghassemian, David Landgrebe
On-Line Object Feature Extraction For Multispectral Scene Representation, Hassan Ghassemian, David Landgrebe
Department of Electrical and Computer Engineering Technical Reports
This thesis investigates a new on-line unsupervised object-feature extraction method that reduces the complexity and costs associated with the analysis of the multispectral image data and the data transmission, storage, archival and distribution as well. Typically in remote sensing a scene is represented by the spatially disjoint pixel-oriented features. It would appear possible to reduce data redundancy by an on-line unsupervised object-feature extraction process, where combined spatial-spectral object's features, rather than the original pixel-features, are used for multispectral scene representation. The ambiguity in the object detection process can be reduced if the spatial dependencies, which exist among the adjacent pixels, …