The discrete cosine transform (DCT) is a relevant tool in signal processing applications, mainly known for its good decorrelation properties. Current image and video coding standards—such as JPEG HEVC—adopt the DCT fundamental building block compression. Recent works have introduced low-complexity approximations DCT, which become paramount applications demanding real-time computation low-power ...

In clinical research, Decentralized trials (DCTs) can provide opportunities to maximize efficiencies. Unlike the traditional trial model, Clinical Trials promote telemedicine, mobile/local healthcare providers (HCPs), mobile/web-based technology, and direct distribution of Investigational Medicinal Products (IMP) patients, among other things. Hence, DCTs are in spotlight as infrastructure, know...

Despite the importance of interlanguage pragmatic rating (ILP) in the second language teaching and learning context, scant attention has been devoted to it. This study aims to investigate native EFL teachers’ major criteria in assessing the speech act of complaint produced by Iranian EFL learners. To fulfill this end, two groups of experienced native raters, including American (n=47) and Britis...

The separation of gangues from coals with robots is an effective and practicable means. Therefore, a cable-suspended gangue-sorting robot (CSGSR) end-grab was developed in our early work. Due to the unidirectional characteristic, flexibility cables, dynamic impact pick-and-place gangues, one significant issues robustness under internal external disturbances. Cable tensions, being end-grab’s con...

We evaluated a video-based error correction procedure for teaching four adults with developmental disabilities to set a table. Video clips were initially used as an antecedent prompt. However, only one of the adults learned to set the table with this procedure. Consequently, the remaining three adults received intervention in which the video clips were also used as part of an error correction p...

This submission to the MIREX 2015 Music Structural Segmentation task employs a Convolutional Neural Network (CNN) to identify boundaries within a piece of digital audio. The network was trained on a combination of mel-scaled log-magnitude spectrograms (MLSs) and selfsimilarity lag matrices (SSLMs) with two-level human structural annotations following the SALAMI guidelines. It is based on our wo...

I want to provide three perspectives on hierarchical architectures. The first focuses on how the space of automated highway system designs was structured. The second describes two hierarchically-layered designs. The third suggests a theoretical framework prompted by these two stories. I will end with a brief video that describes elements of one AHS design.