Working Document Towards a Preliminary Draft New Report on Cognitive Radio in Land Mobile Service Document SDRF-08-R-0001-V1.0.0

IVOA recommendation: Parameter Description Language Version 1.0

This document discusses the definition of the Parameter Description Language (PDL). In this language parameters are described in a rigorous data model. With no loss of generality, we will represent this data model using XML. It intends to be a expressive language for self-descriptive web services exposing the semantic nature of input and output parameters, as well as all necessary complex const...

Cognitive Radio Applications in Software Defined Radio

The topic of cognitive radios has been garnering a great deal of attention in the past several years. Opinions regarding the level of sophistication necessary to qualify a system as cognitive vary widely, and discussions have ensued regarding this technology. The software defined radio forum is also involved and has working group activity in the area of cognitive radio. Some of the working grou...

Document Title: Working Document Towards Draft New Recommendation: Achieving Quality of Service (QoS) for Ttransmission Control Protocol (TCP) Traffic Over Satellite Networks with Differentiated Services

Highlights of the final draft of the national policy document for science, technology and innovation in vaccine production in Iran

Introduction: Vaccination has been the most effective human intervention in alleviating human sufferings and death. Vaccine production in Iran has a long history however, in the face of a changing global landscape, it requires a new roadmap for research, development and production in the coming decades. Methods: This document was drafted based on Article A of the “Comprehensive National S...

Learning Document Image Features With SqueezeNet Convolutional Neural Network

The classification of various document images is considered an important step towards building a modern digital library or office automation system. Convolutional Neural Network (CNN) classifiers trained with backpropagation are considered to be the current state of the art model for this task. However, there are two major drawbacks for these classifiers: the huge computational power demand for...