Digital Commons Network^™

Potholes, Pennies And Politics, Peter J. Koltnow

Purdue Road School

No abstract provided.

Bridge Repair Vs. Replacement, Mahlon J. Plumb

Purdue Road School

No abstract provided.

Use Of Marginal Materials In Highway Construction, Quentin L. Robnett

Purdue Road School

No abstract provided.

Bigger Trucks And Smaller Cars, James O'Day

Purdue Road School

No abstract provided.

Innovation Of Equipment For Snow And Ice Control In The State Of Indiana, Wallace W. West

Purdue Road School

No abstract provided.

Back Cover, Purdue Road School

Purdue Road School

No abstract provided.

Operational Analysis Based On Minimal Information: A Hypothetical Case Study, Herb Schwetman

Department of Computer Science Technical Reports

No abstract provided.

Programming With Recursion, Dirk Siefkes

Department of Computer Science Technical Reports

No abstract provided.

Low Contention Semaphores And Ready Lists, Peter J. Denning, T. Don Dennis, Jeffrey Brumfield

Department of Computer Science Technical Reports

No abstract provided.

Using The Purdue Procsy Terminal System (Fortran), Bob Brown

Department of Computer Science Technical Reports

No abstract provided.

Using The Purdue Procsy Terminal System (Pascal), Bob Brown

Department of Computer Science Technical Reports

No abstract provided.

Development Of A Digital Data Base For Reflectance-Related Soil Information, Eric R. Stoner, Larry L. Biehl

LARS Technical Reports

A digital soils data base was established for inclusion of soil reflectance data in addition to pertinent soil physical, chemical, engineering data and site information. This soils data base is being used by researchers to study the relationships between the reflectance and physical, chemical, engineering and site characteristics of soil upon which remote sensing technology for soil and crop survey is based. Information stored in the data base carries connotations for soil taxonomic classification as well as detailed descriptions of site characteristics such as climate, drainage, slope, erosion phase, topography, and parent material. Laboratory analyses can be entered into the …

Parallel Processing Implementations Of A Contextual Classifier For Multispectral Remote Sensing Data, Howard J. Siegel, Philip H. Swain, Bradley W. Smith

LARS Technical Reports

Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a pixel to achieve accurate classification. Classification algorithms such as the contextual classifier typically require large amounts of computation time. One way to reduce the execution time of these tasks is through the use of parallelism. The applicability of the CDC Flexible Processor system and of a proposed multimicroprocessor system (PASM) for implementing contextual classifiers is examined.

A Compressor Valve Model For Use In Daily Design Work, G. W. Gatecliff, G. C. Griner, H. Richardson

International Compressor Engineering Conference

No abstract provided.

Simulation Of A Reciprocating Compressor Accounting For Interaction Between Valve Movement And Plenum Chamber Pressure, A. B. Tramschek, J. F. T. Maclaren

International Compressor Engineering Conference

No abstract provided.

A Case Study Of Soil Erosion Detection By Digital Analysis Of The Remotely Sensed Multispectral Landsat Scanner Data Of A Semi-Arid Land In Southern India, V. Guruswamy, Steve J. Kristof, Marion Baumgardner

LARS Technical Reports

Soil forms one of the vital natural resources in that it is useful for agricultural and engineering purposes as the Chief plant supporting material for producing food and fibre and as construction material for raising buildings respectively. Soil erosion caused by the action of wind, water, ice and gravity over a terrain requires, therefore, prompt detection and implementation of proper preventive/remedial measures to conserve the soil resource. Soil inventory to assess its quantity and quality by the conventional field survey methods consumes considerable manpower with time and money and the remote sensing technology offers in this context, a powerful tool …

Application Of Multispectral Reflectance Studies Of Soils: Pre-Landsat, S. J. Kristof, M. R. Baumgardner, R. A. Weismiller, S. M. Davis

LARS Technical Reports

It was recognized in the 1960's that measuring the spectral, spatial and temporal variation of electromagnetic fields reflected and emitted from the Earth's surface had many potential applications in the field of agriculture. As a result, computer-implemented pattern recognition techniques were used to analyze multispectral data for the purpose of delineating soil differences. Spectral data were obtained (1) in the laboratory by scanning soil samples with a double-beam spectrophotometer (Beckman DK-2A) and (2) in the field by scanning large areas of soils with an airborne multispectral scanner.

The results obtained through this early research clearly illustrated relationships between the reflected …

On Increasing Confidence In Confidence Intervals, Peter J. Denning

Department of Computer Science Technical Reports

No abstract provided.

Testing Network-Of-Queues Software, Herb Schwetman

Department of Computer Science Technical Reports

No abstract provided.

Independence Results In Computer Science, Deborah Joseph, Paul Young

Department of Computer Science Technical Reports

No abstract provided.

Theft And Conspiracy In The Take-Grant Protection Model, Lawrence Snyder

Department of Computer Science Technical Reports

No abstract provided.

An Examination Of The Overall Relationship Between Spectral Reflectance And Chemical Composition Of 58 Mine Tailings Samples, H. Schreir, L. M. Lavkulich

LARS Symposia

Spectral reflection curves from 58 mine tailings samples were grouped into 11 unique spectral categories using a cluster analysis technique. A good relationship was found between the spectral categories and Munsel colors (hue and value) but only 70% of all groups could be separated on the basis of a single chemical parameter (Fe). It appears that the overall chemistry has a profound influence on spectral reflection, with total Fe, Al, Si and C playing a dominant part. The parameter interactions are complex and this makes it difficult to predict chemical concentrations from spectral reflection values. Cluster analysis offers a means …

Description Of A User-Oriented Geographic Information System: The Resource Analysis Program, Stephen E. Tilmann, Delbert L. Mokma

LARS Symposia

This paper describes the Resource Analysis Program, an applied geographic information system. Several applications are presented which utilized soil, and other natural resource data, to develop integrated maps and data analyses. These applications demonstrate the methods of analysis and the philosophy of approach used in the mapping system.

The applications are evaluated in reference to four major needs of a functional mapping system: data capture, data libraries, data analysis, and mapping and data display. These four criteria are then used to describe an effort to develop the next generation of applied mapping systems. This approach uses inexpensive microcomputers for field …

Using Soil Color/Reflectance In Predicting Soil Properties, Chris J. Johannsen, Liovando M. Dacosta

LARS Symposia

Correlations of soil components, value and chroma with selected soil physical and chemical properties from 563 surface soil samples from the Great Plains area, USA revealed that clay, organic carbon, cation exchange capacity and water held at 1/3 and 15 bars were most highly correlated. Regression correlations based on these soil color components were developed to estimate many soil properties.

Surface soil samples from two study sites located in Boone County, Missouri, USA were measured by a laboratory spectral meter. These measurements showed that soil physical and chemical properties could be predicted from reflectance measurements especially in the near infrared …

Parallel Processing Implementations Of A Contextual Classifier For Multispectral Remote Sensing Data, Howard Jay Siegel, Philip H. Swain, Bradley W. Smith

LARS Symposia

Contextual classifiers are being developed as a method to exploit the spatial/spectral context of a pixel to achieve accurate classification. Classification algorithms such as the contextual classifier typically require large amounts of computation time. One way to reduce the execution time of these tasks is through the use of parallelism. The applicability of the CDC Flexible Processor system and of a proposed multimicroprocessor system (PASM) for implementing contextual classifiers is examined.

A Model Of Plant Canopy Polarization Response, V. C. Vanderbilt

LARS Symposia

Sensors to remotely measure the linear polarization of ground scenes have been proposed for the Multispectral Resource Sampler (MRS), a satellite sensor system proposed to compliment the Thematic Mapper. At present justification for a sensor on MRS to measure scene polarization is limited. This paper discusses a model for the amount of linearly polarized light reflected by the shiny leaves of such crops as wheat, corn, and sorghum. The theory demonstrates that, potentially, measurements of the linearly polarized light from a crop canopy may be used as an additional feature to discriminate between crops. Examination of the model suggests that, …

A Case Study Of Soil Erosion Detection By Digital Analysis Of The Remotely Sensed Multispectral Landsat Scanner Data Of A Semi-Arid Land In Southern India, V. Guruswamy, Steve J. Kristof, Marion Baumgardner

LARS Symposia

Soil forms one of the vital natural resources in that it is useful for agricultural and engineering purposes as the Chief plant supporting material for producing food and fibre and as construction material for raising buildings respectively. Soil erosion caused by the action of wind, water, ice and gravity over a terrain requires, therefore, prompt detection and implementation of proper preventive/remedial measures to conserve the soil resource. Soil inventory to assess its quantity and quality by the conventional field survey methods consumes considerable manpower with time and money and the remote sensing technology offers in this context, a powerful tool …

The Use Of Cir And Airborne Multispectral Scanner Techniques For Wetland Soils Mapping Of Highway Corridors, Alice E. Redfield, Kenneth S. Thom

LARS Symposia

This paper summarizes the results of an investigation aimed at evaluating the potential advantages of state-of-the-art airborne remote sensing for highway siting and planning tasks, specifically in wetlands areas.

The basic objectives of the study were to develop methodologies using remotely sensed data for mapping wetlands soils and drainage, to evaluate the relative merits and usefulness of the various methods developed, to generate a selection of output products from the remote sensor data for display to highway planners and photo-interpreters, and to provide recommendations for implementation of remote sensing techniques in the highway planning and siting process. To accomplish these …

Compressor Originated Noise In A Diving System , G. Rauen, W. Soedel

International Compressor Engineering Conference

No abstract provided.

Small Screw Compressors For Automobile Air Conditioning Systems, Y. Fukazawa, U. Ozawa

International Compressor Engineering Conference

No abstract provided.