With respect to industrial NDT applications, increase in computation power has made elaborate post-processing of large ultrasonic array data sets a feasible alternative to traditional processing schemes. Instead of firing transmitter elements at staggered intervals to produce wave fronts, the full matrix of time domain signals (A-Scans) from every transmitter-receiver pair can be captured and p...

Simulation and predictions of material processes at multi-length scales require a detailed understanding of microstructures. While a meaningful study requires large data sets, the size of data sets has been limited due to the lack of automated image processing and mesh generation algorithms. We obtained as images a relatively large population of data from 19 samples of Aluminum foils by Electro...

In this paper, we present a scalable module-based architecture for block matching motion estimation algorithm of MPEG-4. The basic module comprises one set of processing elements based on one-dimensional systolic array architecture. To support various applications, modules of processing elements can be configured to form the processing element array to meet the requirements, such as variable bl...

In this paper, we propose a fast algorithm to realize parallel median filter for processing 1-D and 2-D signal. In the proposed pipelined architecture, m-passes are employed for filtering signal while word resolution is m bits. One pass employs one processing element (PE), and the number of PEs is independent of the number of samples. Therefore, we only need m PEs for real-time operation. With ...

The 3'end genomic region encodes a wide range of regulatory process including mRNA stability, 3' end processing and translation. Here, we systematically investigate the sequence determinants of 3' end mediated expression control by measuring the effect of 13,000 designed 3' end sequence variants on constitutive expression levels in yeast. By including a high resolution scanning mutagenesis of m...

Due to the excellent image recognition characteristics of convolutional neural networks (CNN), they have gained significant attention among researchers for image-processing-based defect diagnosis tasks. The use deep CNN models rolling element bearings’ (REBs’) may be computationally expensive, and therefore not suitable some applications where hardware resources limitations exist. However, inst...