We propose methodologies to train highly accurate and efficient deep convolutional neural networks (CNNs) for image super resolution (SR). A cascade training approach to deep learning is proposed to improve the accuracy of the neural networks while gradually increasing the number of network layers. Next, we explore how to improve the SR efficiency by making the network slimmer. Two methodologie...

The Carrier Super-Positioning Satellite System is a promising telecommunication system because the frequency efficiency is double that of existing satellite systems. In this technique, we can use the same frequency band for inbound and outbound signals which are currently used in separated bands. Interference canceller used in the carrier super-positioning system is degraded a lot by the nonlin...

Single image super-resolution aims to generate a high-resolution image from a single low-resolution image, which is of great significance in extensive applications. As an ill-posed problem, numerous methods have been proposed to reconstruct the missing image details based on exemplars or priors. In this paper, we propose a fast and simple single image super-resolution strategy utilizing patch-w...

The existing trustworthiness attestation methods are not only difficult to be applied to the embedded system because they are mainly based on virtual machine technology, but have some problems such shat evidence is not obtained in time, protecting the privacy need trusted third party and trust measurement efficiency is low. In this paper, an embedded system dynamic trustworthiness attestation m...

In this paper, a spatial domain based super-resolution mosaicing system and its evaluation results are presented. This algorithm incorporates two main algorithms, an image mosaicing algorithm and a super-resolution-reconstruction algorithm. Huber-based prior information is used to address the ill-posed nature of the super resolution problem. To test the efficiency of the proposed algorithm, fou...

In order to ensure superiority of fuel and improve start and stop performance of hybrid electric vehicle, battery is used in the system. Limited by vehicle’s size, traditional hybrid electric vehicles can only carry a limited number of batteries, resulting in a relatively short running distance in one battery charge cycle. To improve energy using efficiency and increase vehicle safety, composit...

Due to high efficiency and good scalability, hierarchical hybrid P2P architecture has drawn more and more attentions in P2P video streaming applications recently. The problem about Super Group Peers (SGPs) selection, which is the key problem in hierarchical hybrid P2P architecture, is becoming highly challenging because super peers must be selected from a huge and dynamically changing network. ...

Ice-slurry is an ideal form of ice product for ice-storage, which is an effective measure to save energy. The conventional producing method using super-cooled water suffers the troubles of instability and heavy dependence on electronic power. We propose a novel method to improve that: spraying water is super-cooled by evaporating in a chamber where the air is of low humidity and low wet bulb te...

It is difficult for the existing multi-population genetic algorithms with space partition to be successfully applied to multi-objective optimization problems. Multi-population genetic algorithms with space partition for multi-objective optimization problems are designed in this paper in allusion to the characteristics of multi-objective optimization problems. A complicated optimization problem ...