'That's Not a Knife . . .' Or Is It? Virginia's Problematic Concealed Weapons Law

2021 ◽  
Author(s):  
J. Alex Touchet
Keyword(s):  
Concealed Weapons

Guns on Campus: Surveying a rugged post-Heller/ McDonald landscape

2013 ◽  
Vol 45 (1-2) ◽  
pp. 77-108 ◽  
Author(s):  
Leif Magne Lervik
Keyword(s):  
Local Governments ◽  
Public Colleges ◽  
Concealed Weapons ◽  
Second Amendment ◽  
Academic History ◽  
Recent Developments ◽  
State And Local ◽  
Public Colleges And Universities ◽  
The Right ◽  
The U.S

In June 2008, the U.S. Supreme Court ruled that the Second Amendment to the U.S. Constitution guarantees an individual the right to keep and bear arms. Two years later, this decision was also made applicable to state and local governments. Today, seven U.S. states have provisions allowing the carrying of concealed weapons on their public senior high school campuses. This article, introduced by a brief comment on the Second Amendment’s legal and academic history, traces several recent developments of legal change. It discusses relevant arguments and attitudes towards guns on campus, and explores issues of future concern for public colleges and universities within the realm of firearms and campus safety.

W-band beam-steerable MEMS-based reflectarray

2011 ◽  
Vol 3 (5) ◽  
pp. 521-532 ◽  
Author(s):  
Simone Montori ◽  
Elisa Chiuppesi ◽  
Paola Farinelli ◽  
Luca Marcaccioli ◽  
Roberto Vincenti Gatti ◽  
...  
Keyword(s):  
Liquid Crystal ◽  
Imaging System ◽  
Elementary Cell ◽  
Control Architecture ◽  
Micro Electro Mechanical Systems ◽  
Concealed Weapons ◽  
W Band ◽  
Innovative Solutions ◽  
Wave Imaging ◽  
The University

This paper presents recent advances on reconfigurable reflectarrays at the University of Perugia. In particular, the activities carried out in the framework of the FP7 project ARASCOM (“MEMS and Liquid Crystal based” Agile Reflectarray Antennas for Security and COMmunication). As for ARASCOM outcomes, the purpose of the project is the design of a very large reconfigurable reflectarray controlled with micro-electro-mechanical systems (MEMS) for mm-wave imaging system at 76.5 GHz. A system with sufficient resolution to detect concealed weapons impose challenging requirements on the antenna, which shall be made of hundreds of thousands elements. The problem has been addressed by exploiting some innovative solutions and architectures that will be described in this document. In particular, the dimensioning of the reflectarray, the proposed 1-bit geometry of elementary cell, and the innovative biasing control architecture are reported together with the MEMS design and fabrication and the experimental results of a demonstrating board that validated the adopted procedure.

Detection and classification of concealed weapons using a magnetometer-based portal

2002 ◽  
Author(s):  
Dale K. Kotter ◽  
Lyle G. Roybal ◽  
Robert E. Polk
Keyword(s):  
Concealed Weapons

scholarly journals Terahertz Image Detection with the Improved Faster Region-Based Convolutional Neural Network

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2327 ◽  
Author(s):  
Jinsong Zhang ◽  
Wenjie Xing ◽  
Mengdao Xing ◽  
Guangcai Sun
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Detection System ◽  
Terahertz Imaging ◽  
Image Detection ◽  
Data Format ◽  
Standard Data ◽  
Concealed Weapons ◽  
Special Distribution ◽  
Effectiveness And Efficiency

In recent years, terahertz imaging systems and techniques have been developed and have gradually become a leading frontier field. With the advantages of low radiation and clothing-penetrable, terahertz imaging technology has been widely used for the detection of concealed weapons or other contraband carried on personnel at airports and other secure locations. This paper aims to detect these concealed items with deep learning method for its well detection performance and real-time detection speed. Based on the analysis of the characteristics of terahertz images, an effective detection system is proposed in this paper. First, a lots of terahertz images are collected and labeled as the standard data format. Secondly, this paper establishes the terahertz classification dataset and proposes a classification method based on transfer learning. Then considering the special distribution of terahertz image, an improved faster region-based convolutional neural network (Faster R-CNN) method based on threshold segmentation is proposed for detecting human body and other objects independently. Finally, experimental results demonstrate the effectiveness and efficiency of the proposed method for terahertz image detection.

New approach for detecting and classifying concealed weapons

1997 ◽  
Author(s):  
Lyle G. Roybal ◽  
Philip M. Rice ◽  
Joseph M. Manhardt
Keyword(s):  
New Approach ◽  
Concealed Weapons

Statistical edge detection of concealed weapons using artificial neural networks

2008 ◽  
Author(s):  
Ian Williams ◽  
David Svoboda ◽  
Nicholas Bowring ◽  
Elizabeth Guest
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Edge Detection ◽  
Concealed Weapons ◽  
Artificial Neural

Millimeter-Wave Chaotic Cavity Detector for Non Metallic Concealed Weapons

2006 ◽  
Author(s):  
Millet Nicolas ◽  
Lehureau Jean-Claude ◽  
Lamarque Thierry
Keyword(s):  
Millimeter Wave ◽  
Concealed Weapons

TERAHERTZ INTERFEROMETRIC AND SYNTHETIC APERTURE IMAGING

2007 ◽  
Vol 17 (02) ◽  
pp. 431-443 ◽  
Author(s):  
ALEXANDER M SINYUKOV ◽  
APARAJITA BANDYOPADHYAY ◽  
AMARTYA SENGUPTA ◽  
ROBERT B BARAT ◽  
DALE E GARY ◽  
...  
Keyword(s):  
Synthetic Aperture ◽  
Imaging Method ◽  
Interferometric Imaging ◽  
Metal Object ◽  
Security Applications ◽  
Concealed Weapons ◽  
Continuous Waves ◽  
Theoretical Predictions ◽  
Terahertz Frequencies ◽  
Good Agreement

Experimental results of homodyne terahertz interferometric 1-D and 2-D imaging are presented. The reconstructed images of a point source are in a good agreement with theoretical predictions. The performance of an N element detector array is imitated by only one detector placed at N positions. Continuous waves at 0.25-0.3 THz are used to detect a metal object behind a barrier. 1-D images of a C-4 sample have been obtained at several terahertz frequencies. Focusing issues of 2-D imaging have been demonstrated. The terahertz interferometric imaging method can be used in defense and security applications to detect concealed weapons, explosives as well as chemical and biological agents.

Fusion of radar and ultrasound sensors for concealed weapons detection

1996 ◽  
Author(s):  
Franklin S. Felber ◽  
Herbert T. Davis III ◽  
Charles E. Mallon ◽  
Norbert C. Wild
Keyword(s):  
Concealed Weapons
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