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Performance evaluation of high-volume electret filter air samplers in aerosol microbiome research
(2020)
Background
Reliable identification and quantification of bioaerosols is fundamental in aerosol microbiome research, highlighting the importance of using sampling equipment with well-defined performance characteristics. ...
Automatic object recognition within point clouds in clustered or scattered scenes
(2020)
We consider the problem of automatically locating, classifying and identifying an object within a point cloud that has been acquired by scanning a scene with a ladar. The recent work [E. Bae, Automatic scene understanding ...
MRTD: to NUC or not to NUC?
(2020-09-21)
We applied a simple method to estimate the Minimum Resolvable Temperature Difference (MRTD) of an LWIR and an MWIR camera. A so-called Siemens star, in our case a thin, black aluminum plate framing a circle that is missing ...
When Insularity Becomes a Problem: The Literature on Jihadism in Jordan
(2020-02-07)
This article offers a review of the literature on Jordanian jihadism. While excellent work has been done, particularly on the phenomenon’s history and ideologues such as Abu Muhammad al-Maqdisi, several topics remain ...
Towards simulation-based verification of autonomous navigation systems
(2020-09)
Autonomous ships are expected to change water-based transport of both cargo and people, and large investments are being made internationally. There are many reasons for such transformation and interest, including shifting ...
Multimodal Multispectral Imaging System for Small UAVs
(2020-01-17)
Multispectral imaging is an attractive sensing modality for small unmanned aerial vehicles (UAVs) in numerous applications. The most compact spectral camera architecture is based on spectral filters in the focal plane. ...
Federating Tactical Edge Networks:Ways to Improve Connectivity, Security, and Network Efficiency in Tactical Heterogeneous Networks
(2020-02-14)
This article elaborates on security and routing
architectures for mobile tactical heterogeneous
networks. It explores challenges and opportunities,
and highlights the characteristics of these
types of networks and their ...
Deep temporal detection - A machine learning approach to multiple-dwell target detection
(2020)
Detecting small targets, such as an Unmanned Aerial Vehicle (UAV) in high clutter and non-homogeneous environments is challenging for a radar system. Traditional Constant False Alarm Rate (CFAR) detectors have suboptimal ...
Sparse range-Doppler image construction with neural networks
(2020-06-11)
The principles outlined by compressed sensing can
permit a sensor to collect reduced amount of data and still
reconstruct an exact outcome. This can for example be used
to generate super-resolution sparse range-Doppler ...
A framework for automatic behavior generation in multi-function swarms
(2020)
Multi-function swarms are swarms that solve multiple tasks at once. For example, a quadcopter swarm could be tasked with exploring an area of interest while simultaneously functioning as ad-hoc relays. With this type of ...