Sentence examples for implementation for detection from inspiring English sources
The present work has taken the VAM-NDA closer to practical implementation for detection of bacterial target sequences in a portable AC susceptometer operating at ambient temperatures and with short analysis times.
A highly sensitive method for quantification of the level of mosaicism has been reported, which applies the Distribution Analysis by Fitting Integrated Probabilities method to determine the central tendencies of the BAF band distributions, but there is not currently a feasible implementation for detection of unknown mosaic regions [ 17].
This section describes the prototype implementation for attack detection (Figure 1).
Then, in order to use only the images that contain faces we have used a Viola-Jones based [32] implementation for face detection and finally the face images were cropped to delete noise and normalize the size.
In this article, we present a real-time DSP system implementation for hyperspectral target detection.
The negative effects of the less frequent gross errors are eliminated with the implementation of the Welsch robust estimator, avoiding the computation of biased estimates and implementation of iterative procedures for detection and removal of gross errors.
Thus, with digital signal-to-interference and noise ratio (SINR) target of say 10 dB (SINRtarget = 10 dB) for detection, implementation margin of 3 dB is allowed.
In the end, they appear to acknowledge a noble failure in their Abstract: "Without the development of ultrapure Taq DNA polymerase, ultrapure reagents, and plasticware guaranteed to be free of DNA, the implementation of a PCR for detection of eubacterial 16S rRNA by sensitive technologies, such as the TaqMan system, will continue to be problematical".
The 3D positions of traffic lights and slope information obtained from an extended digital map enable ROIs to be generated accurately, even on slanted roads, while independent design and implementation of individual recognition modules for detection and classification allow for selection according to the type of traffic light face.
Figure 3 depicts the block diagram of the employed energy detection implementation for a continuous-time received signal r(t).
Here, we present the design and evaluation of a parallel implementation for conducting optimal homology detection on distributed memory supercomputers.
