PREMIR: A Prediction Model for Infiltration Routes,

Abstract

The mathematical computer model provides a systematic approach for investigating route selection criteria and degree of randomness, provided some infiltration routes are known to the investigator. It has been applied to an area of South Vietnam and adjacent Laos. Since selection criteria usually involve cost, the techniques of dynamic programming have been applied to determine minimum-cost paths, expressed in terms of caloric requirements, with the resulting predicted routes representing the least caloric units between specific start and end points. The cost function is symmetric: uphill and downhill costs when traveling the same direction for equal distances are the same. By comparing deviations of real routes from PREMIR optimal routes, route characteristics other than the optimization criteria can be inferred, such as unknown base camps, villages, or vegetation cover.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1971
Accession Number
AD0891514

Entities

People

  • C. F. Black
  • L. J. Pipes

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors

DTIC Thesaurus Topics

  • Aerial Reconnaissance
  • Aircrafts
  • Algorithms
  • Altitude
  • Asia
  • Computer Programming
  • Computer Programs
  • Computers
  • Dynamic Programming
  • Elevation
  • Grids
  • Interpolation
  • Mathematical Analysis
  • South Vietnam
  • Southeast Asia
  • Two Dimensional
  • Weighting Functions

Readers

  • Library and Information Science/ Studies, Southeast Asia Studies, Bibliography of Vietnam and Lao Studies.
  • Operations Research
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms