IEEE Supplement 2013

Notes from the Editor

Homeland Security Affairs is proud to publish the best papers from the IEEE 2012 Conference on Technology for Homeland Security. Read more.

IEEE Supplement 2013

A Compressed Sensing Approach for Detection of Explosive Threats at Standoff Distances using a Passive Array of Scatterers

Supplement: IEEE 2012 Conference on Technology for Homeland Security: Best Papers By Jose Angel Martinez-Lorenzo, Yolanda Rodriguez-Vaqueiro, Carey M. Rappaport, Oscar Rubinos Lopez, and Antonio Garcia Pino ABSTRACT: Awarded Best Paper Overall This work presents a new radar system concept, working […]

A Compressed Sensing Approach for Detection of Explosive Threats at Standoff Distances using a Passive Array of Scatterers

Security and Performance Analysis of Passenger Screening for Mass-transit

Supplement: IEEE 2012 Conference on Technology for Homeland Security: Best Papers By Lance Fiondella, Swapna S. Gokhale, Nicholas Lownes, and Michael Accorsi ABSTRACT: Awarded Best Paper, Attack and Disaster Preparation, Recovery, and Response During the past decade, the international community has

Security and Performance Analysis of Passenger Screening for Mass-transit

Intelligent Radiation Sensor System (IRSS) Advanced Technology Demonstrator (ATD)

Supplement: IEEE 2012 Conference on Technology for Homeland Security: Best Papers By Daniel A. Cooper, Robert J. Ledoux, Krzysztof Kamieniecki, Stephen E. Korbly, Jeffrey Thompson, James Batcheler, Shirazul Chowdhury, Neil Roza, James Costales, and Vijaya Aiyawar ABSTRACT:Awarded Best Paper, Land

Intelligent Radiation Sensor System (IRSS) Advanced Technology Demonstrator (ATD)

A Video-based Hyper-focal Imaging Method for Iris Recognition in the Visible Spectrum

Supplement: IEEE 2012 Conference on Technology for Homeland Security: Best Papers By Sriram P. Tankasala, Vikas Gottemukkula, Sashi Kanth Saripalle, Venkata Goutam Nalamati, Reza Derakhshani, Raghunandan Pasula, and Arun Ross ABSTRACT: Awarded Best Paper, Biometrics and Forensics We design and implement

A Video-based Hyper-focal Imaging Method for Iris Recognition in the Visible Spectrum

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