The importance of real-time capable mobile biosensors increases in face of rising numbers of global virus epidemics. Such biosensors can be used for on-site diagnosis, e.g. at airports, to prevent further spread of virus-transmitted diseases, by answering the question whether or not a sample contains a certain virus. In-depth laboratory analysis might furthermore demand for measurements of the ...

We present a real-time rendering algorithm that generates soft shadows of dynamic scenes using a single light sample. As a depth-map algorithm it can handle arbitrary shadowed surfaces. The shadow-casting surfaces, however, should satisfy a few geometric properties to prevent artifacts. Our algorithm is based on a bivariate attenuation function, whose result modulates the intensity of a light c...

This paper describes an advanced sonar ring that employs a low receiver sample rate to achieve processing of 48 receiver channels at near real time repetition rates of 15 Hz. The sonar ring sensing covers 360 degrees around the robot with simultaneously firing of 24 transmitters. The receiver sampling frequency is 250 kHz, compared to previous work at 1 MHz, firstly to maximize the speed of pro...

In this vignette, we demonstrated the application of RnaSeqSampleSize as an sample size estimation tool for RNA-seq data. A user friendly web interface is also provided at http: //cqs.mc.vanderbilt.edu/shiny/RnaSeqSampleSize/ for researchers not familar with R. RnaSeqSampleSize package provides the following features: • Estimation of sample size or power by single read count and dispersion; • E...

In this paper, we propose an HMM trajectory-guided, real image sample concatenation approach to photo-real talking head synthesis. It renders a smooth and natural video of articulators in sync with given speech signals. An audio-visual database is used to train a statistical Hidden Markov Model (HMM) of lips movement first and the trained model is then used to generate a visual parameter trajec...