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5.9-fs (RMS) timing jitter integrated from 10 kHz to 5 MHz (Nyquist frequency) is obtained from a 10-MHz picosecond all-polarization-maintaining Yb-fiber laser. An optimized spectral filtering bandwidth for the lowest timing jitter is found by numerical simulation.
An asynchronous multi-carrier code division multiple access passive optical network upstream is experimentally demonstrated for the first time. Different code lengths with different amounts of active subscribers are investigated in back-to-back and 50-km transmission.
A novel back propagation isolation module is firstly implemented at its powered remote node of the fiber-wireless convergence. Bi-directional multiband transmission, highly uniform receiving performance, and high compatibility are achieved in a long reach scheme.
Surface parameterization refers to the process of mapping a surface into a canonical domain. The goal of parameterization is to minimize geometric distortions, which can be classified as angle and area distortions. Unfortunately, in general it is impossible to achieve both angle-preserving and area-preserving parameterization. This work proposes a novel balanced parameterization method which could...
We propose a new pretreatment for pedestrian detection with convolutional networks. It is widely known that the phenomenon of overlapping feature distribution is common, which leads to overfitting problem. We present a method that divide one category that have overlapping distributed features into multi-subcategories. By this means smooth boundaries can be easily found to separate different subcategories,...
Dynamic vehicle detection and tracking can provide essential data to solve the problem of road planning and traffic management. A method for real-time vehicle detection and tracking using deep neural networks is proposed in this paper and a complete network architecture is presented. Using our model, you can obtain vehicle candidates, vehicle probabilities, and their coordinates in real-time. The...
Computer-aided diagnosis (CAD) systems have been verified to have the potential to assist radiologists in clinical diagnosis to detect and characterize focal liver lesions (FLLs) based on single- or multiphase contrast-enhanced computed tomography (CT) images. Features extracted from multiphase contrast-enhanced CT images carry more important diagnostic information i.e. enhancement pattern and demonstrate...
For a grid-connected AC microgrid (MG), when a fault occurs at the microgrid, adaptive overcurrent (OC) or directional overcurrent (DOC) relays must be activated as fast as possible to protect all distributed generation (DG) units and loads. Fault currents inside the grid-connected AC microgrid can be significantly varied because fault current contributions from the main grid and DG units are different...
This paper considers the channel state information (CSI) acquisition and exploitation problem in cloud radio access networks (Cloud-RAN). A novel CSI acquisition method, called compressive CSI acquisition, is adopted to effectively reduce the CSI signaling overhead by obtaining instantaneous coefficients of only a subset of all the channel links. To deal with the uncertainty in available CSI, we propose...
The diagnosis of disease with the aid of computer programs has been developing more and more in recent years. This paper presents an approach which is based on frequency technique for the objective quantitative analysis of facial paralysis. In this method, limited-orientation modified circular Gabor filters (LO-MCGFs) are used to enhance the desirable frequencies in images. Then, features are extracted...
Self-interference cancellation technologies enable full-duplex operation at the eavesdropper. In addition to wiretapping, the eavesdropper simultaneously tries to reduce the secrecy rate of the illegitimate transmitter-receiver pair by jamming its receiver. On the other hand, the transmitter-receiver pair aims to increase its secrecy rate. To examine the power decision processes between the transmitter...
Domain adaptation (DA) aims to eliminate the difference between the distribution of labeled source domain on which a classifier is trained and that of unlabeled or partly labeled target domain to which the classifier is to be applied. Compared with the semi-supervised domain adaptation where some labeled data from target domain is utilized to help train the classifier, the unsupervised domain adaptation...
Correlation tracker has made a huge success in visual object tracking. However, it is mainly because that the tracker cannot catch the occurrence of appearance changes, tracking based on correlation filters often drifts due to the unexpected appearance changes caused by occlusion, deformation and background clutter. In this paper, we propose a new method to detect the case when the tracker encountered...
Computation offloading, which can alleviate the restrictions of limited resources in mobile systems, has attracted much attention recently. Due to the uncertainty of channel fading and computation complexity of input/background tasks, both of communication and computation could cause the outage event of computation offloading, i.e., the computing and transmitting time exceeds a threshold. We propose...
An important challenge in the Internet of Things (IoT) is to provide real-time services on low-energy-supply devices. In this paper, we study joint queue-aware and channel-aware scheduling of arbitrarily bursty traffic over multi-state time-varying channels, where the bursty packet arrival in the network layer, the backlogged queue in the data link layer, and the power adaptive transmission with fixed...
A bidirectional DC-DC converter with high step-down and step-up voltage conversion ratio is proposed in this paper. Two capacitors series in the high-voltage side of proposed converter are used for voltage division. The divided voltages are then discharged to and charged from the low-voltage side by a modified two-phase interleaved buck-boost converter, respectively. Due to stacking architecture of...
The Ultra-DIMM constituted by DRAM and Flash memory is a promising solution used to tackle the challenges existing in traditional DRAM in terms of energy consuming and scalability. In this hybrid memory system, DRAM is used as the data buffer of Flash memory due to the performance and endurance gaps between main memory and Flash. However, the inconsistency of access granularity between the main memory...
For content-centric wireless networks, pushing and proactive caching hold the promise of greatly improving system throughput in the future. However, the throughput gains obtained from these techniques are limited by the energy of the base station and the buffer size of the receivers. To make full use of this energy and these buffers, this paper presents a Joint Pushing and Caching (JPC) method for...
This research proposes a novel Bayesian sparse representation (BSR) method along with extracting facial parameters of SIFT to create sparse dictionaries, which are invariant to rotation, scale, and shift. By using K-means and information theory, a new dictionary called extended dictionary is developed. Compared with conventional orthogonal matching pursuit (OMP) algorithm, the proposed system that...
With the fast development of electric vehicle (EV), the charging and coordination strategy of the prospective electric vehicles can be possibly based on regional hierarchical control technology. The paper describes the land decision method to obtain the spatial load of EV in a region, including industrial, commercial and residential area. Based on the forecasted spatial load of EV in the region, the...
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