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Metal-free virucidal effects induced by g-CN under visible light irradiation: Statistical analysis and parameter optimization.

Chemosphere
Waterborne viruses with a low infectious dose and a high pathogenic potential pose a serious risk for humans all over the world, calling for a cost-effective and environmentally-friendly inactivation method. Optimizing operational parameters during t...

PAVE LOW III: interior lighting reconfiguration for night lighting and night vision goggle compatibility.

Aviation, space, and environmental medicine
The PAVE LOW III aircraft is a modified HH-53H helicopter that has a low altitude--below 30.48 m (100 ft)--night/day rescue mission. The desired night flying configuration is for the pilot to wear night vision goggles (NVGs) to fly the aircraft while...

Learning Low-Rank Class-Specific Dictionary and Sparse Intra-Class Variant Dictionary for Face Recognition.

PloS one
Face recognition is challenging especially when the images from different persons are similar to each other due to variations in illumination, expression, and occlusion. If we have sufficient training images of each person which can span the facial v...

Proto-object categorisation and local gist vision using low-level spatial features.

Bio Systems
Object categorisation is a research area with significant challenges, especially in conditions with bad lighting, occlusions, different poses and similar objects. This makes systems that rely on precise information unable to perform efficiently, like...

Color Correction Parameter Estimation on the Smartphone and Its Application to Automatic Tongue Diagnosis.

Journal of medical systems
BACKGROUND: An automatic tongue diagnosis framework is proposed to analyze tongue images taken by smartphones. Different from conventional tongue diagnosis systems, our input tongue images are usually in low resolution and taken under unknown lightin...

Supervised Filter Learning for Representation Based Face Recognition.

PloS one
Representation based classification methods, such as Sparse Representation Classification (SRC) and Linear Regression Classification (LRC) have been developed for face recognition problem successfully. However, most of these methods use the original ...

Object Extraction in Cluttered Environments via a P300-Based IFCE.

Computational intelligence and neuroscience
One of the fundamental issues for robot navigation is to extract an object of interest from an image. The biggest challenges for extracting objects of interest are how to use a machine to model the objects in which a human is interested and extract t...