—Touch sensing, as a major human/machine interface, is widely used in various commercial products such as smart watches, mobile phones, tablets and TVs. State-of-the-art touch detections are mainly based on mutual capacitive sensing, which requires necessary contact-touch, limiting the mobile user experience. Recently, remote gesture sensing is widely reported in both academy and industry as it...

The traditional spectrum sensing algorithm based on deep learning requires a large number of labeled samples for model training, but it is difficult to obtain them in the actual scene. This paper applies self-supervised contrast order solve this problem, and (SSCL) proposed. mainly includes two stages: pre-training fine-tuning. In stage, according characteristics communication signals, data aug...

We present an algorithm for finding sparse solutions of the system of linear equations Φx = y with rectangular matrices Φ of size n×N, where n < N, when measurement vector y is corrupted by a sparse vector of errors e. We call our algorithm the l1-greedy-generous (LGGA) since it combines both greedy and generous strategies in decoding. Main advantage of LGGA over traditional error correcting me...

We find the generating function of self-avoiding walks and trails on a semi-regular lattice called the 3.122 lattice in terms of the generating functions of simple graphs, such as self-avoiding walks, polygons and tadpole graphs on the hexagonal lattice. Since the growth constant for these graphs is known on the hexagonal lattice we can find the growth constant for both walks and trails on the ...

Since 2012, the state of California faces an extreme drought, which impacts water supply in many ways. Advanced remote sensing is an important technology to better assess water resources, monitor drought conditions and water supplies, plan for drought response and mitigation, and measure drought impacts. In the present case study latest time series analysis capabilities are used to examine surf...

Future communication networks will be composed of a diversity of highly heterogeneous network variants, ranging from energy constrained wireless sensor networks to large-scale wide area networks. The fact that the size and complexity of such networks will experience tremendous growth will eventually render existing traditional network management paradigms unfeasible. We propose the radically ne...