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In the next generation wireless communication networks, a large portion of operational expenditures (OPEX) has to be paid for energy consumption. Millions of base stations consume more energy in order to support increasing dramatically data traffic and diverse application services. Energy harvesting is becoming a promising technology to minimize the traditional power demand and thus reduce the OPEX...
The frequency, time and places of charging have large impact on the Quality of Experience (QoE) of EV drivers. It is critical to design effective EV charging scheduling system to improve the QoE of EV drivers. In order to improve EV charging QoE and utilization of CSs, we develop an innovative travel plan aware charging scheduling scheme for moving EVs to be charged at Charging Stations (CS). In the...
As one important part of Internet of Things (IoT), wireless body area networks (WBANs) get rapid development in recent years. The majority of current WBAN researchers focus on the radio frequency (RF) solutions. However, there are still some intrinsic defects in the RF-based WBANs. Recently, human body communication (HBC) has been proposed in which the body itself is used as the propagation medium...
In this paper, we investigate the propagation characteristics of spin electromagnetic wave (SEW) in ferromagnetic film. We calculate the amplitude and phase distribution of spin wave along propagating direction for MSSW mode and BVMSW mode. Two kinds of antenna probes are considered. And we simulate the amplitude and phase distribution of magnetic field around the antenna probe.
This paper proposes a method for rapid and continuous monitoring of slope deformation by using terrestrial optical photogrammetry. This slope monitoring method is non-contact and has a high speed to calculate the position and displacement of slope points, which can be applied to the continuous observation and disaster warning of the problem area of the slope. The theory of this method is to obtain...
In classification, a large number of features often make it difficult to select appropriate classification features. In such situations, feature selection or dimensionality reduction methods play an important role in classification. ReliefF algorithm is one of the most successful filtering feature selection methods. In this paper, some shortcomings of the ReliefF algorithm are improved, on the problem...
We propose a Joint nuclear norm based nonlinear Manifold Learning through linear embedding with Classification, called JMLC. By including a feature approximation error into the existing nonlinear manifold learning framework to correlate manifold features with embedded features by a linear projection, the learnt projection can handle the outside points efficiently by embedding. Besides, to encode the...
A new wavenumber domain mapping method for the highly squinted beam steering synthetic aperture radar (BS-SAR) is analysed. After the mapping operation, the two dimensional (2-D) spectrums have a broadside form which can be regarded as an equivalent broadside SAR. Furthermore, a novel 2-D two-step approach is introduced to avoid spectral aliasing and skewing caused by the beam steering and the high...
L1-norm maximization based Discriminant Locality Preserving Projection (DLPP-L1) is shown to be effective and robust to the outliers in given data, but DLPP-L1 is based on the vector space, so it has to convert those 2D matrices into high-dimensional 1D vectorized representations when handing images. But such transformation usually destroys the topology structures of images pixels, which can decrease...
In this paper, a new multi-objective cat swarm optimization algorithm has been proposed. The algorithm applies the part of individuals into the seeking mode and the other part of individuals into the tracing mode non-randomly. Cat map is used to initialize individuals of population. In this way, individuals can avoid trapping into local optimal in the final iteration process and the search ability...
In the isolated word speech recognition system, the extraction and matching of the characteristic parameters is the key link. This paper introduces a new feature parameter extracting methods on basis of Pulse Coupled Neural Network (PCNN) for the recognition system. By means of the visibility of speech spectrogram, the PCNN is used to extract the time series and entropy series from the spectrogram...
Virtual machine placement (VMP) is the assignment of virtual machines (VMs) to physical hosts (PHs). In this paper, we apply a glowworm swarm optimisation (GSO) algorithm to solve the VMP problem so that the energy consumption, the service level agreement (SLA) violation are minimised. Simulation results show that GSO based VMP algorithm outperforms many of the common VMP algorithms.
In this paper, we investigate the propagation characteristics of spin electromagnetic wave (SEW) in ferromagnetic film. Two kinds of antenna probes are considered. We calculate and simulate the amplitude and phase distribution of spin wave and electromagnetic wave along propagating direction for two modes.
This paper focuses on delay-dependent stability for a class of Markovian jumping systems with time delay, whose transition rates are not completely known. Taking into account the influence of time delay and partial information on transition probabilities, double integral inequality and extended Wirtinger's inequality are used to value the bounds of Lyapunov-Krasovskii function and their weak infinitesimal...
Multi-mode resonator is usually used to design broadband bandpass filters and the cross-shape resonator (CSR) is one of its typical types. We explore the possibility of utilizing cross-shape multi-mode resonators as a signal controller for superconducting qubits that are coplanar to the resonator. The multi-mode qubit-resonator coupling would facilitate the design of future quantum information processor...
On the background of constructing the smart energy city, solar photovoltaic based microgrid (PV-MG) will play an important role. In this paper, a typical structure of PV-MG, which is consisted of PV power generation system, battery energy storage system (BESS), fixed loads (FLs), and transferable loads (TLs), is constructed firstly. Then in order to improve the economy of PV-MG's operation, the influence...
In this paper, a novel CP circular waveguide antenna array is proposed. The dielectric loaded antenna element is fed by a microstrip structure. Square and triangular arrays are compared. And the beam-scanning characteristics is discussed. The triangular antenna array is fabricated and measured.
A kind of V-shape-meander-line reconfigurable electromagnetic band-gap (EBG) structure is designed in this paper. The proposed EBG structure is fabricated and measured. It is found that miniaturization and frequency reconfigurability of EBG structure can be realized.
This paper describes a novel particle filter-based track-before-detect (TBD) technique for multiple dim moving targets with fluctuating intensity in multi-spectral IR image sequence. The proposed approach consists of a combination of a dimension reduction of multi-spectral and a particle filter. In our novel algorithm, a generallized likelihood ratio test (GLRT) method is first applied to the original...
For classic radars, pulse compression is an important way to improve range and velocity resolution. And phase-coded and frequency-coded signals are two important means to implement pulse compression. In this paper, we analyze the lower bound of delay and Doppler resolutions of radar phase-coded pulse and frequency-coded pulse. The lower bound of the delay-Doppler resolution of phase-coded waveform...
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