Moreover, we analyze to what extent mobile relaying can support the deployment of lightweight networks.
It is a challenge to implement traditional security infrastructures in these types of lightweight networks since they are by design limited in both computational and communication resources.
Had Twitter fully invested in its developer strategy instead of becoming a publishing platform, they may have found a lot of value in being the lightweight communications network.
It is shown that the mpNoC is a lightweight parallel network making it suitable for both small as well as large FPGA-based parallel systems.
Above studies show the PIR sensors can be used as the lightweight sensor network nodes for the distributed human-target-surveillance. Human identification is of practical importance for the information-associated tracking.
To train this lightweight deep network without compromising its efficiency, a new training method of progressive positive and hard negative sample mining is introduced and shown to drastically improve training speed and accuracy.
Firstly, a lightweight CNN network architecture is specifically designed for the recognition task, which contains five layers, i.e. three convolutional layers, a global pooling layer and a fully connected layer.
