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Referrals play an essential role in the healthcare system. It has been shown that 60%~70% patients visiting hospitals are referrals. The Centers for Medicare and Medicaid (CMS) has released a large scale physician referral data set, which enables research on referral networks. Recently, we have developed a data-driven system to investigate referral networks based on the CMS open data. In this paper,...
Aim at improving the robustness by employing single feature tracking algorithm in visual object tracking realm, we put forward an object tracking algorithm based on the thought of game theory via multi-feature fusion. Under the framework of Mean Shift visual tracking, treating the color features and motion features expressed by optical flow as two gamers, by searching the Nash Equilibrium of their...
Massive multiple-input multiple-output (MIMO) offers ample spectral efficiency gains by installing hundreds of antenna elements at one single base station (BS). To learn the downlink (DL) channel state information (CSI) from the uplink (UL) channel measurements at the BS, it is critical to be able to take full advantage of time-division duplexing (TDD) channel reciprocity. However, due to different...
In this paper, the spatial modulation (SM) technique is explored to improve physical layer security in time-division duplex (TDD) wireless communication network. In the designed transmission scheme, the transmitter first exploits the knowledge of legitimate channel state information (CSI) to redefine the transmit antennas' indices which are used to map into spatial bits, then selects one activated...
A certain guiding system, adopting a servo system based on BLDCM, requires high sensitivity which is hard to reach by general control algorithm. A control method with neural network is proposed in order to meet the request. On the basis of the dual closed-loop, the method compensates the friction torque and adjusts the PID parameters in real time. The simulated and experimental results both show that...
On the basis of analysis on the pressure and flow characteristics of an aircraft hydraulic energy system, each dynamic simulation model for components and subsystems of hydraulic energy system was constructed using AMESim, and simulation was made for the pressure and flow characteristics of hydraulic energy system of the typical phases under the flight normal condition. By simulation verification...
In this paper, we present a novel depression dis-order classification algorithm, named weighted discriminative dictionary learning (WDDL), based on functional magnetic resonance imaging (fMRI) data. The underlying relationship between samples and dictionary atoms is exploited by introducing an adaptive weighting scheme. Tested on fMRI data of 29 patients with depression and 29 healthy controls, our...
This paper extends the classical phase gradient autofocus motion compensation methodology for imagery reconstructed via backprojection algorithm(BPA) in high resolution synthetic aperture radar(SAR). As the existence of the space variant defocus and range cell migration due to motion error in BPA imagery, traditional autofocus methods usually can not be applied directly. In our method, a modified...
In this paper, a reconfiguration strategy for distribution network based on a power supply capacity index (PSCI) is proposed to tackle the security problems caused by the increasing number of electric vehicles (EVs) with spatial-temporal charging loads in active distribution network (ADN). Firstly, a spatial and temporal model is developed to obtain all the EV charging loads in the ADN along one scheduling...
The paper, based on the current researches on the regulation and control of digital cognitive competence by transcranial direct current stimulation (TDCS), adopts stimulation device developed by Tsinghua University to launch the analysis experiment of cognitive behaviors aiming at the key problem of the application effects of TDCS, compares the influences of stimulating electrode parameters on digital...
This paper is concerned with the robust discrete-time control for uncertain time-delay systems with nonlinearities and external noises. The parameter uncertainties enter into all the system matrices. The time-varying delay is unknown with given lower and upper bounds. The stochastic nonlinearities are described by satisfying a class of α Hölder condition. The problem addressed is the analysis and...
In this study, we propose a simple but very effective method that enables fabrication of all fiber liquid crystal interferometer as a high sensitive refractive index (RI) sensor. Experimental results show that the maximum RI sensitivity of the proposed sensor is 261.3 nm/RIU (refractive index unit).
One of the three 5G key usage scenarios is massive machine type communication (mMTC), which is characterized by a very large number of connected devices typically transmitting a relatively low volume of non-delay sensitive data. To support the above mMTC communication, grant-free data transmission (GFDT) has been proposed, where mMTC devices have no dedicated transmission resource. One of the challenges...
Recently, NTT DOCOMO and Huawei conducted a large-scale experimental trial of key technologies for the 5th generation (5G) mobile systems. Downlink multi-user (MU) transmission with massive MIMO in the time-division duplex (TDD) mode is one of the technologies evaluated in this trial. With linear and non-linear downlink precoding schemes, we investigated the practical performance of MU massive MIMO...
As an infrastructure of software enterprise management, organizational process asset library (OPAL) is vital essential to deploy and improve processes of software organizations. Not well managed and maintained OPAL will make more difficulties for software process improvement work. In order to do the process improvement work effectively, the paper proposes OPAL architecture for process improvements,...
Analysis of fuel consumption on orbit satellite is presented. The fuel consumption model is nonlinear based on the orbit thruster and attitude control thrusters' misalignment, and is assumed to have unknown dynamics. The issue regarding as the fuel consumption of orbit optimization can be converted to multi-variable optimization with constraint. A modification of the Analytic Hierarchy Process (AHP)...
Icing on transmission line is a major risk factor for the safety of the power system. Therefore, it is necessary to research on online monitoring system and prediction model of icing. At present, there are many kinds of the icing prediction models are based on micro meteorological conditions, but the errors of the prediction are caused by the time-varying characteristics of the meteorological conditions...
In this paper, the thought of space division full duplex (SDFD) is introduced to improve the flexibility of traffic adaptation in time division duplex (TDD) systems. In SDFD scheme, two spatial separated transmission points (TPs), which can be two base stations (BSs), serve downlink (DL) and uplink (UL), respectively. In this case, the interference between two TPs cannot be avoided, which might affect...
To meet the challenging capacity requirement of 5G, a set of radio access technologies may be needed, including technologies to improve the spectrum efficiency, to utilize more available spectrum, and network densification, etc. In this paper, we focus on how to combine massive multiple-input and multiple-output (MIMO) and dense small cell (DSC) deployment to boost the system capacity. Under the framework...
Lattice reduction (LR) aided multiple-input multiple-output (MIMO) detectors have been considered as an option to obtain near-maximum likelihood (ML) performance. We first give the analysis to show that large signal-to-noise ratio (SNR) corresponds to the short length of the dual basis vectors. Then, in order to further alleviate the complexity of LR aided MIMO detectors while maintaining acceptable...
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