57–64 GHz Imaging/Detection Sensor—Part II: Experiments on Concealed Weapons and Threatening Materials Detection

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.

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High resolution image processing and CT perfusion imaging detection in patients with cerebral hemorrhage based on embedded system

Microprocessors and Microsystems ◽

10.1016/j.micpro.2020.103700 ◽

2021 ◽

Vol 81 ◽

pp. 103700

Author(s):

Yuanpei Jiang ◽

Jian Liu ◽

Hongling Sheng

Keyword(s):

Image Processing ◽

High Resolution ◽

Embedded System ◽

Perfusion Imaging ◽

Cerebral Hemorrhage ◽

Ct Perfusion ◽

Resolution Image ◽

High Resolution Image ◽

Ct Perfusion Imaging ◽

Imaging Detection

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Submillisecond mixing in a continuous-flow, microfluidic mixer utilizing mid-infrared hyperspectral imaging detection

Lab on a Chip ◽

10.1039/c3lc51171e ◽

2014 ◽

Vol 14 (3) ◽

pp. 584-591 ◽

Cited By ~ 18

Author(s):

Drew P. Kise ◽

Donny Magana ◽

Michael J. Reddish ◽

R. Brian Dyer

Keyword(s):

Hyperspectral Imaging ◽

Continuous Flow ◽

Mid Infrared ◽

Microfluidic Mixer ◽

Imaging Detection

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INTEGRATING FUZZY C-MEANS AND MAHALANOBIS METRIC CLASSIFICATION FOR EXUDATE DETECTION IN COLOR FUNDUS IMAGING

Journal of Mechanics in Medicine and Biology ◽

10.1142/s0219519415500852 ◽

2015 ◽

Vol 15 (05) ◽

pp. 1550085 ◽

Cited By ~ 2

Author(s):

MADHURI TASGAONKAR ◽

MADHURI KHAMBETE

Keyword(s):

Diabetic Retinopathy ◽

Early Detection ◽

Ground Truth ◽

Vital Role ◽

Detection Accuracy ◽

Fuzzy C Means ◽

Fundus Imaging ◽

Imaging Detection ◽

Retinal Structure

Diabetes affects retinal structure of a diabetic patient by generating various lesions. Early detection of these lesions can avoid the loss of vision. Automation of detection process can be made easily feasible to masses by the use of fundus imaging. Detection of exudates is significant in diabetic retinopathy (DR) as they are earlier signs and can cause blindness. Finding the exact location as well as correct number of exudates play vital role in the overall treatment of a patient. This paper presents an algorithm for automatic detection of exudates for DR. The algorithm combines the advantages of supervised and unsupervised techniques. It uses fuzzy-C means (FCM) segmentation on coarse level and mahalanobis metric for finer classification of segmented pixels. Mahalanobis criterion gives significance to most relevant features and thus proves a better classifier. The results are validated using DIARETDB0 and DIARETDB1 databases and the ground truth provided with it. This evaluation provided 95.77% detection accuracy.

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W-band beam-steerable MEMS-based reflectarray

International Journal of Microwave and Wireless Technologies ◽

10.1017/s1759078711000754 ◽

2011 ◽

Vol 3 (5) ◽

pp. 521-532 ◽

Cited By ~ 3

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.

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