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Filter bank multicarrier (FBMC) has been taken as a candidate modulation for the 5th generation (5G) mobile network, because it exploits well-shaped prototype filters to reduce the inter-symbol-interference (ISI) and inter-carrier-interference (ICI) in OFDM system. To achieve more flexibility in filter performances, this paper designs nearly perfect reconstruction (NPR) filters by relaxing the Nyquist...
We experimentally generate second-harmonics within deep-ultraviolet wavelength range of 334.5 to 306 nm. We combine four-wave mixing and surface nonlinearity polarization by coupling femtosecond pump pulses at ∼800 nm into an air-silica photonic crystal fiber.
We numerically study parabolic similariton generation in tapered hydrogenated amorphous silicon photonic wires. Simulation results show that initial Gaussian pulses can evolve into parabolic similaritons with the linear chirp at 1550 and 2150 nm, respectively.
Following the trend of privacy preserving online social network publishing, various anonymization mechanisms have been designed and employed. Many differential privacybased mechanisms claim that they can preserve the utility as well as guarantee the privacy. Their utility analysis are always based on some specifically chosen metrics.This paper aims to find a novel angle that describing the network...
In recent years, biometric, or "who you are," authentication has grown rapidly in acceptance and use. Biometric authentication offers users the convenience of not having to carry a password, PIN, smartcard, etc. Instead, users will use their inherent biometric traits for authentication and, as a result, risk their biometric information being stolen. The security of users’ biometric...
Optical Wavelength Division Multiplexing (WDM) networks based on fixed grid technology have exposed some questions, including wasting of bandwidth resources in multi-domain heterogeneous networks. Flexible grid technologies can provide end-to-end optical path according to the client flexibly and effectively. However, it is unpractical to deploy a one-time green-field flexible grid technologies subjected...
Online Social Networks (OSNs) are simple, unweighted graphs used to store information in the context of social media and emails. Accurately representing the connectivity and features of these graphs is important in applications of graph utility and differential privacy. Current methods of describing these network graphs use graph metrics such as the shortest-path betweenness centrality, clustering...
In opportunistic networks, forwarding based protocols lead to a large amount of data flow to the highly connected nodes and unfairness of the nodes' traffic load, finally, it makes the highly connected nodes suffer congestion and results in the messages were discarded. To solve this problem, a congestion control algorithm based on Social Awareness is proposed in this paper. When choosing the next...
Improving the accuracy of power battery state of charge (SOC) estimation is an important basis for formulating and optimizing the control strategy of hybrid electric vehicle. Aiming at the problem of the traditional SOC large estimation error, a SOC estimation method based on self-recurrent wavelet neural network (SRWNN) is proposed. Firstly, the equivalent model of power battery and its SOC estimation...
As the advantages of good convergence and less computing time in estimating multiple parameters, genetic algorithm (GA) has been applied to estimate the parameters of the multiple scattering centers. It is found that various objective functions (OF) selected in GA yields different estimation results. The performance comparison among different OFs are investigated in detail, based on which, an optimal...
Task scheduling, especially complicated multi-task scheduling is pervasive in the environment of cloud manufacturing. It is one of important and practical issues for the cloud manufacturing mode. However, the related researches are far from mature. Most of researches only concentrate on scheduling algorithm without considering the complicated formation of task decomposition. In this paper, we develop...
In this paper, the Cu@SiO2 core-shell particles were synthesized using a simple method and well characterized with XRD and SEM techniques. The results of TEM show that a thickness of 15–20 nm SiO2 shell were uniformly coated on the surface of copper particles. The dielectric properties of the PVDF composites filled with Cu@SiO2 particles were measured and analyzed. The results show that the dielectric...
This paper presents our recent studies on CMOS front-end circuits for high speed optical links. The circuit topologies of both transimpedance amplifier (TIA) and modulator driver (MD) are discussed for achieving wideband operation in PAM-4 modulation using advanced CMOS technology. Also, issues of integration of the circuits with silicon photonic devices such as the Ge-on-Si photo diode (PD) and silicon...
Aimed at the high sensitivity to noise in partial discharge (PD) pattern recognition, a novel feature extraction method based on cross-wavelet transform and Principal Component Analysis is proposed. Cross-wavelet transform of PD signals provides new characteristic parameters for pattern recognition. Principal Component Analysis (PCA) is used to reduce dimensions of the new selected parameters. Back...
For patients with hemiplegia or stroke and other limb locomotion dysfunction due to problems such as neurological, an important therapy is Rehabilitation training. Repetitively task-directed exercise can increase the motion performance of patients with nerve problems. In this paper, an adaptive controller for the lower limb rehabilitation robot (LERR) is proposed to take control of the robot's gait...
Traffic Matrix (TM) estimation is important to traffic engineering in data center networks. However, current estimation methods are insufficient in estimation accuracy and measurement cost. In this paper, by using the advantage of SDN, we propose an online informative flow measurement based traffic matrix estimation method IFTME, which uses an iterative method to select these most informative flows...
Environment reconstruction from a monocular camera has been a popular research topic. This technique can be applied to automatic navigation, environment exploration and automatic obstacle avoidance. This paper proposes stereo matching and aims to match the low gradient area around the high gradient area between two images correctly by using the epipolar geometry. The experimental results demonstrate...
Test Suite Reduction is to find a subset of the original test suite which contains less test cases than original one but covers the same test request. In order to reduce the size of the data processed by Ant Colony Algorithm, this paper firstly chooses the test case set to form a candidate set. Then, based on the ant colony algorithm, QEA (Quantum-inspired Evolutionary Algorithm) and quantum revolving...
Constructing the high spatio-temporal NDVI time series data is necessary to study the urban vegetation phenology, and the response relationship between vegetation phenology and temperature changes can better understand the urban ecological conditions. In this paper, taking the typical area in Nanjing City as study area, urban vegetation phenology is deriving from HJ NDVI time series. Two ways of the...
POI recommendation aims to recommend places which users have not visited before. In this paper, we proposed a POI recommendation method using location similarity, which assumes that people may be interested in the places that are similar with the places that they have been to before. In order to calculate the similarity of locations, we proposed a novel method using time slots. Every two hours can...
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