Digital Commons Network^™

Accelerated Test For Rating Positive Displacement Refrigeration Compressors Using Computer Control, L. W. Marriott, E. R. Lady, L. L. Evans

International Compressor Engineering Conference

No abstract provided.

An Introduction To Optimization Methods For Engineering Design, K. M. Ragsdell

International Compressor Engineering Conference

No abstract provided.

Geometric Programming: An Engineering Tool For Compressor Design, D. T. Phillips, K. M. Ragsdell

International Compressor Engineering Conference

No abstract provided.

Optimal Muffler Design, E. Sandgren, K. M. Ragsdell

International Compressor Engineering Conference

No abstract provided.

Parallel Algorithms For Adaptive Quadrature Ii - Metalgorithm Correctness, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

The Use Of The Modified Cholesky Decomposition In Divergence And Classification Calculations, D. L. Van Rooy, M. S. Lynn, C. H. Snyder

LARS Symposia

This report analyzes the use of the modified Cholesky decomposition technique as applied to the feature selection and classification algorithms used in the analysis of remote sensing data (e. g.•as in LARSYS). This technique is approximately 30% faster in classification and a factor of 2- 3 faster in divergence, as compared with LARSYS. Also numerical stability and accuracy are slightly improved. Other methods necessary to deal with numerical stability problems are briefly discussed.

A Method For Digital Image Registration Using A Mathematical Programming Technique, Stanton S. Yao

LARS Symposia

A new algorithm based on a nonlinear programming technique to correct the geometrical distortions of one digital image with respect to another is discussed. This algorithm promises to be superior to existing ones in that it is capable of treating , localized differential scaling, translational and rotational errors over the whole image plane. A series of piece-wise "rubber-sheet" approximations are used, constrained in such a manner that a smooth approximation over the entire image can be obtained. The theoretical derivation is included. The result of using the algorithm to register four channel S065 Apollo IX digitized photography over Imperial Valley, …

An Iterative Approach To The Feature Selection Problem, Henry P. Decell, John A. Quirein

LARS Symposia

The B-average divergence for m-distinct ~asses, resulting from the linear transformation y = Bx, is proposed as a feature selection criterion, where B is a k by n matrix of rank k <= n. It is shown that if the B-average divergence resulting from B is large enough, then the probability of misclassification, considered as a function of the class of all k by n matrices, is essentially minimized by B. A computer program, utilizing a gradient procedure, is developed to numerically maximize the B-average divergence and results are presented for the Cl flight line. For this example, corresponding to 9-distinct classes, most of the discriminatory information is found to lie in a 3-dimensional subspace, defined by an appropriately chosen 3 by 12 matrix B.

Machine Boundary Finding And Sample Classification Of Remotely Sensed Agricultural Data, J. N. Gupta, R. L. Kettig, D. A. Landgrebe, P. A. Wintz

LARS Symposia

Initially, methods for analyzing earth observational data involved the use of only spectral variations measured from the scene. The work reported in this paper provides a method for making some use of spatial variations as well. The results of some preliminary tests of this new method show significant improvements in accuracy.

Prefix Codes, Trees And Automata, Jean-Louis Lassez

Department of Computer Science Technical Reports

No abstract provided.

Iterative Techniques To Estimate Signature Vectors For Mixture Processing Of Multispectral Data, Pete Salvato Jr

LARS Symposia

Mixture processing of remotely sensed multispectral scanner data involves estimating the percent coverage of individual crops or species contained within the instantaneous field of view of the scanner. In recent years, various mixture processing algorithms have been proposed to solve the so-called "mixture problem". All of the proposed algorithms require, as inputs, the spectral signatures of the various species observed. Often it is extremely difficult to obtain the required spectral signatures of individual species.

In this paper, two methods for obtaining the required spectral signatures for a particular mixture model are considered. For the model considered, the spectral signatures become …

Feature Selection Via An Upper Bound (To Any Degree Tightness) On Probability Of Misclassification, Cecil R. Hallum

LARS Symposia

Currently, many techniques exist for feature selection purposes which are related but, unfortunately, in an indeterminable way to the probability of misclassification. In this paper a procedure is presented which yields an upper bound (to any degree tightness) on the probability of misclassification in sample Gaussian maximum likelihood classification between each pair of categories in p-dimensional space. The technique permits features to be selected so that the optimal q (q <= p) features have the property that no other subset of q features yield a smaller value to the upper bound on the probability of misclassification.

A computer-assessable transformation is utilized which permits a multiple integral over the misclassification region in p-dimensional space to be approximated, to any degree of accuracy, by the product of p …

Numerical Classification Procedures, Glen C. Gustafson

LARS Symposia

A number of up-to-date numerical classification techniques are described. These include the orthogonal and oblique factor analysis methods, and the unweighed pair-group cluster analysis procedure. The techniques are applied to morphometric data from 159 small drainage basins from two geographical regions. Transformation techniques to achieve the normal distribution with respect to symmetry are applied.

Information Preserving Coding For Multispectral Data, J. R. Duan, P. A. Wintz

LARS Symposia

A general formulation of the data compression system is presented. A method of instantaneous expansion of quantization levels by reserving two codewords in the codebook to perform a folding over in quantization is implemented for error free coding of data with incomplete knowledge of the probability density function. Results for simple DPCM with folding and an adaptive transform coding technique followed by a DPCM technique are compared using ERTS-l data.

On Program Volume And Program Modularization, Rudolf Bayer

Department of Computer Science Technical Reports

No abstract provided.

Parallel Algorithms For Adaptive Quadrature - Convergence, John R. Rice

Department of Computer Science Technical Reports

No abstract provided.

Specification And Design Of An Information System Using Computer Aided Analysis, J. F. Nunamaker

Department of Computer Science Technical Reports

No abstract provided.

A Study Of Decompiling Machine Language Into High-Level Machine Independent Languages, Barron Cornelius Housel

Department of Computer Science Technical Reports

No abstract provided.

Magnetic Tape Portability, James Alf Iverson

Department of Computer Science Technical Reports

No abstract provided.

The Monadic Second-Order Theory Of Ordinals W Sub 2, J. Richard Buchi, Charles Zaiontz

Department of Computer Science Technical Reports

No abstract provided.

Effective Fail-Safe Highway Structures, F. J. Tamanini

Purdue Road School

No abstract provided.

Back Cover, Purdue Road School

Purdue Road School

No abstract provided.

Modeling A Large Online File System, John Pomeranz

Department of Computer Science Technical Reports

No abstract provided.

Atmospheric Effects On Radiation Measurements, G. M. Jurica

LARS Technical Reports

Already during this course you have heard occasional references to the effect of the atmosphere upon radiation measurements obtained by remote sensing techniques. Usually the indication was that in some way the atmosphere acted to limit the quantity and quality of information available to the measuring system.

In certain respects this is a quite valid assessment of atmospheric processes. In fact, it is possible to envision the atmosphere as performing a dual role: 1) by acting as a generator it can introduce a spurious signal into the measured quantities, and 2) by acting as an unwanted filter the atmosphere can …

Evaluation Of Factors Influencing Driveway Accidents : Interim Report, William Walter Mcguirk

JTRP Technical Reports

No abstract provided.

Land Use Development At Interstate Interchanges In Indiana, Lawrence Peter Fabbroni

JTRP Technical Reports

No abstract provided.

The Effect Of Quasi-Preconsolidation On Compression Of Clay Soils : Interim Report, John Leitch Davidson

JTRP Technical Reports

No abstract provided.

Determination Of Atterberg Limits Using Moisture Tension Methods : Technical Paper, Ahmed Atef Gadallah, Eugene Robert Russell, Eldon J. Yoder

JTRP Technical Reports

No abstract provided.

Guidelines For The Selection Of An Interchange Configuration, Thomas Ernest Mulinazzi

JTRP Technical Reports

No abstract provided.

Machine Boundary Finding And Sample Classification Of Remotely Sensed Agricultural Data, J. N. Gupta, R. L. Kettig, D. A. Landgrebe, P. A. Wintz

LARS Technical Reports

Initially, methods for analyzing earth observational data involved the use of only spectral variations measured from the scene. The work reported in this paper provides a method for making some use of spatial variations as well. The results of some preliminary tests of this new method show significant improvements in accuracy.