Digital Criminology: Mathematical Methods of Prediction (Part 2)

Prediction of runoff and sediment from agricultural watersheds by a mathematical model 2 mathematical simulation

Mathematical Methods Applied to Digital Image Processing

This Article is brought to you for free and open access by the Electrical & Computer Engineering at ODU Digital Commons. It has been accepted for inclusion in Electrical & Computer Engineering Faculty Publications by an authorized administrator of ODU Digital Commons. For more information, please contact [email protected]. Repository Citation Liu, Yi-Hung; Chen, Chung Hao; and C.P. Chao, P...

Movie portrayals of juvenile delinquency: Part 1--Epidemiology and criminology.

Movies chronicling the phenomenology of juvenile delinquency have been produced since the 1930s. These films have become part of American culture and are at once a representation of and possible etiologic factor in causing delinquency. This paper reviews aspects of the epidemiology and criminology of delinquency and how they have been reflected in American films. Movies of historical and sociop...

Collection-Based Persistent Digital Archives - Part 2

"Collection-Based Persistent Digital Archives: Part 2" describes the creation of a one million message persistent E-mail collection. It discusses the four major components of a persistent archive system: support for ingestion, archival storage, information discovery, and presentation of the collection. The technology to support each of these processes is still rapidly evolving, and opportunitie...

Mathematical methods in communication Lecture 2

Example 2 (Convexity of a probability vector space) Show that the probability vector space is a convex set. Answer: Consider a random variable X with alphabet X = 1, ..., k. The probability vector space PX = [PX (1) , PX (2) , ..., PX (k)] ∈ R, is the set of all vectors for which PX (i) ≥ 0 ∀i ∈ X , and ∑K i=1 PX (i) = 1. Now consider two probability vectors P (1) X and P (2) X , and the vector