Digital Commons Network^™

An Investigation Of The Volumetric. Efficiency Of A Roots Blower, S. Mcdougald, B. W. Imrie, B. N. Cole

International Compressor Engineering Conference

No abstract provided.

Computer Modeling Of Roots Blower Systems, B. N. Cole, D. N. E. D'Ath

International Compressor Engineering Conference

No abstract provided.

The Prediction Of Dynamic Strain In Ring Type Compressor Valves Using Experimentally Determined Strain Modes, J. Adams, J. F. Hamilton, W. Soedel

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.

Optimization Of A Non-Ideal Staged Compress Facility, G. V. Reklaitis, J. M. Woods

International Compressor Engineering Conference

No abstract provided.

A Questionnaire-Aided Assessment Of The State Of The Art For Compacted Shale Embankments : Technical Paper, David Robert Chapman, Leonard E. Wood

JTRP Technical Reports

No abstract provided.

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

Department of Computer Science Technical Reports

No abstract provided.

The Role Of Computer Networks In Remote Sensing Data Analysis, P. H. Swain, T. L. Phillips, J. C. Lindenlaub

LARS Symposia

It has been hypothesized that computer networks can be used to make data processing facilities available to the remote sensing community both quickly and effectively. An experiment to test this hypothesis is being conducted by the Laboratory for Applications of Remote Sensing at Purdue University, with the participation of potential users at several remote sites. Initial indications have been highly favorable, although final evaluation awaits further experience and the accumulation of usage data.

The Jsc Clustering Program Isocls And Its Applications, E. P. Kan, W. A. Holley, H. D. Parker Jr.

LARS Symposia

The clustering program ISOCLS developed at the Johnson Space Center, Houston, Texas, has been extensively used in the pattern analysis and classification of remote sensor data collected by aircraft and by the Earth Resources Technology Satellite ERTS-1. This paper discusses the theory behind this clustering algorithm. Several new ideas that have been incorporated in ISOCLS are discussed.· Among these are the novel philosophy of operation behind the procedure, which assumes that a population (i.e. a class or a cluster) can be treated as the union of an appropriate number of subpopulations, and the termination of the clustering program by a …

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.

Computerized Interpretation Of Erts Data For Forest Management, Leonard Kirvida

LARS Symposia

Multispectral and spatial features are evaluated for automatic delineation of forest and associated land types. The principal components algorithm was used for determining the efficacy of multispectral bands in making class separations. Four spatial algorithms were evaluated for texture measurements. A thematic map was generated using four multispectral bands as features. Clusters were also used for generating a thematic map.

On The Management And Processing Of Earth Resources Information, C. W. Skinner, R. C. Gonzalez

LARS Symposia

The basic concepts of a recently-completed large-scale earth resources information system plan are reported. Attention is focused throughout the paper on the information management and processing requirements. After the development of the principal system concepts, a model system for implementation at the state level is discussed.

The Design And Use Of Special Purpose Processors For The Machine Processing Of Remotely Sensed Data, G. R. Allen, L. O. Bonrud, J. J. Cosgrove, R. M. Stone

LARS Symposia

The processing of the expected volumes of remotely sensed data will overburden the available computer resources. One solution to the problem is the use of special purpose processors. This paper describes two such processors which are suitable for processing remotely sensed data. Also, examples of the use of the processors on specific problems encountered in remotely sensed data are described.

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.

A Computer Recognition Of Bridges, Islands, Rivers And Lakes From Satellite Pictures, Ruzena Bajcsy, Mohamad Tavakoli

LARS Symposia

This paper describes a computer program which recognizes bridges, rivers, islands and lakes from satellite pictures. The program is structured into three basic parts: the world model, the low level operators, and the higher level program. The recognition process is conceived as a process of continuously refined verification of the hypothesized descriptions of objects. We use conceptual identification of objects during the recognition process as soon as we can; we equip these concepts with meanings in the three-dimensional world. We present several concrete examples as a demonstration of the capabilities of our program.

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.

Sanitary Landfill Method Of Solid Waste Disposal, John M. Bell

Purdue Road School

No abstract provided.

Herpic Progress Report 1959-1972, William H. Goetz

Purdue Road School

No abstract provided.

Use Of Advanced Technology For Traffic Control In Small Urban Areas, Roy C. Loutzenheiser

Purdue Road School

No abstract provided.

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

JTRP Technical Reports

No abstract provided.

Operational Planning Of Fixed-Route And Demand-Responsive Bus Systems In Greater Lafayette Area, Antoine George Hobeika

JTRP Technical Reports

No abstract provided.

A Study Of Bus Transit Planning In Small Urban Areas, Michael Stephen Herman, Gilbert T. Satterly, William Louise Grecco, Kenneth W. Heathington

JTRP Technical Reports

No abstract provided.

Error Free Coding, J. R. Duan, P. A. Wintz

LARS Technical Reports

An adaptive transform coding technique followed by a DPCM technique is employed to code multispectral data. 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 data with incomplete knowledge of probability density function. Controlled redundancy is inserted periodically as fixed length codewords into the bit string of data packed with variable length codes to facilitate fact retrieval and to detect errors. Preliminary results of several sets of data from the ERTS-1 data frame and the ERIM aircraft data frame showed that an error free …

A Linear Shift-Invariant Image Preprocessing Technique For Multispectral Scanner Systems, C. D. Mcgillem, T. E. Riemer

LARS Technical Reports

A linear shift-invariant image preprocessing technique is examined which requires no specific knowledge of any parameter of the original image and which is sufficiently general to allow the effective radius of the composite imaging system to be arbitrarily shaped and reduced, subject primarily to the noise power constraint. In addition, the size of the point-spread function of the preprocessing filter can be arbitrarily controlled, thus minimizing truncation errors.

The Role Of Computer Networks In Remote Sensing Data Analysis, P. H. Swain, T. L. Philips, J. C. Lindenlaub

LARS Technical Reports

It has been hypothesized that computer networks can be used to make data processing facilities available to the remote sensing community both quickly and effectively. An experiment to test this hypothesis is being conducted by the Laboratory for Applications of Remote Sensing at Purdue University, with the participation of potential users at several remote sites. Initial indications have been highly favorable, although final evaluation a waits further experience and the accumulation of usage data .

Pattern Analysis And Recognition Techniques Applied To The Identification Of Ecological Anomalies, Randolph J. Hoffmann, James D. Turinetti

LARS Symposia

The purpose of this paper is to introduce the remote sensing community 20 an interactive analysis system which was designed and implemented at the Rome Air Development Center (RADC), and to report on some preliminary investigations utilizing the capabilities of the system to provide meaningful features far automated classification of multispectral inputs.

Machine Processing For Remotely Acquired Data, D. A. Landgrebe

LARS Technical Reports

This paper is a general discussion of earth resources information systems which utilize airborne and spaceborne sensors. It points out that information may be derived by sensing and analyzing the spectral, spatial and temporal variations of electromagnetic fields emanating from the earth surface. After giving an overview system organization, the two broad categories of system types are discussed. These are systems in which high quality imagery is essential and those more numerically oriented. Sensors are also discussed with this categorization of systems in mind.

The multispectral approach and pattern recognition are described as an example data analysis procedure for numerically-oriented …