Verifiable Secret Sharing (VSS) is a fundamental tool of cryptography and distributed computing in Internet Things. Since network bandwidth scarce resource, minimizing the number verification data will improve performance VSS. Existing VSS schemes, however, face limitations meeting energy consumptions for low-end devices, which make their adoption challenging resource-limited IoTs. To address a...

The reality of COVID-19 public health concerns and increasing demand for distance education have forced educators to move online delivery their courses. Particularly in construction education, the majority physical location-based educational activities (e.g., labs, site visits, or field trips) been canceled during pandemic that results reducing students’ engagement, learning motivation, cogniti...

We recently found that direct stimulation of visual cortex using TMS could result in phosphenes that extended outside the visual field (Wu et al, VSS 2006). Brightness was perceived to emanate from positions inside the mouth, beneath the head, or even behind the ear. Though previous studies using retinal stimulation had failed to produce similar results (Hayhoe & Williams 1984, Cavanagh & Barto...

The intracranial venous sinus is an important component of vascular disease. Many diseases involve the venous sinus and are accompanied by venous sinus stenosis (VSS), which leads to increased venous pressure and high intracranial pressure. Recent research has focused on stenting as a treatment for VSS related to these diseases. However, a systematic understanding of venous sinus stenting (VS-S...

Two-dimensional (TD) adaptive filtering is a technique that can be applied to many image, and signal processing applications. This paper extends the one-dimensional adaptive filter algorithms to TD structures and the novel TD adaptive filters are established. Based on this extension, the TD variable step-size normalized least mean squares (TD-VSS-NLMS), the TD-VSS affine projection algorithms (...

In the NLMS (normalized least mean square) adaptive filters, choosing a suitable step size is crucial as the stability and the steady-state convergence error of the adaptive filter heavily depends on the step size value. In this paper, we propose a new VSS (variable step size) control method for the NLMS adaptive filter applicable to on-frequency RF repeaters that operate under fading feedback ...

A new formulation of principal component analysis (PCA) that considers group structure in the data is proposed as a Variable Subset Selection (VSS) method. Optimization of electrode channels is a key problem in brain-computer interfaces (BCI). BCI experiments generate large feature spaces compared to the sample size due to time limitations in EEG sessions. It is essential to understand the impo...