|
|
|
|
|
Sepideh Kilani, Seyedeh Nadia Aghili and Mircea Hulea
A new approach is introduced to address the subject dependency problem in P300-based brain-computer interfaces (BCI) by using transfer learning. The occurrence of P300, an event-related potential, is primarily associated with changes in natural neuron ac...
ver más
|
|
|
|
|
|
|
|
|
Nicholas Petzinna, Vladimir Nikora, Joe Onoufriou and Benjamin J. Williamson
With rising interest in marine renewable energy (MRE) associated with offshore wind, waves, and tidal flows, the effects of device placement on changes in animal behaviour require proper assessment to minimise environmental impacts and inform decision ma...
ver más
|
|
|
|
|
|
|
|
|
Mengdi Zhang, Ye Zhao, Zhengsheng Han and Fazhan Zhao
This paper presents a 19 ps precision and 170 M samples/s time-to-digital converter (TDC) in FPGA. Through the direct count method and tapped delay line method, the coarse count and fine count can be extracted, respectively. The direct count is realized ...
ver más
|
|
|
|
|
|
|
|
|
Sijie Liu, Xinyu Liu and Pei Lu
Nowadays, sensor-based air pollution sensing systems are widely deployed for fine-grained pollution monitoring. In-field calibration plays an important role in maintaining sensory data quality. Determining the model structure is challenging using existin...
ver más
|
|
|
|
|
|
|
|
|
Chih-Hsuan Lin and Kuei-Ann Wen
With nine-axis sensing systems in 5G smartphones, mobile power consumption has become increasingly important, and ultra-low-power (ULP) sensor circuits can decrease power consumption to tens of microwatts. This paper presents an innovative successive app...
ver más
|
|
|
|