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In addition to the sparse user-item (U-I) matrix, an increasing number of current recommender systems seek to improve performance by exploiting extra heterogeneous data sources (e.g., online social networks). Such rich side sources can provide very useful information about users' personal behaviors and items' properties, therefore can significantly benefit recommender systems. Most existing work can...
Recent advances in resistive random-access memory (RRAM) evoke great interests in exploring alternative architectures. One interesting work is a RRAM-based reconfigurable architecture that provides superior programmbility and blurs the boundary between computation and storage, but long-distance routing becomes a performance bottleneck. However, long-distance routing in FPGA is efficiently implemented,...
Use flue gas wet desulphurization technology to reduce the emissions of sulfur dioxide. The improved BP neural network model based on LM algorithm was established according to the factors that influence sulfur dioxide emissions, and the network weights and threshold value were adjusted repeatedly. The real data obtained from thermal power plants are simulated and verified. The results show that the...
The symmetrical compensation is widely used in inductive power transfer (IPT) system due to the advantages of achieving good coupling coefficient when the coils are perfectly aligned and easy to design. This paper investigates a general tuning method for voltage-fed symmetrical higher-order resonant networks for achieving load-independent transconductance. With the proposed tuning method, a resonant...
Appearance-based gaze estimation methods have received increasing attention in the field of human-computer interaction (HCI). These methods tried to estimate the accurate gaze point via Convolutional Neural Network (CNN) model, but the estimated accuracy can't reach the requirement of gaze-based HCI when the regression model is used in the output layer of CNN. Given the popularity of button-touch-based...
The state monitoring issue of the induced draft fan in a thermal power plant by employing the gravitational searching algorithm optimized BP neural network is investigated in this paper. A new method to estimate the air quantity of the induced draft air of a thermal power plant is proposed based on the historical operation data extracted from the supervisory information system (SIS). In order to predict...
This paper considers the tracking control problem for a class of uncertain switched nonlinear systems under arbitrary switchings. The desired state feedback controller is constructed by introducing the common nonnegative functions and employing the adaptive backstepping technique. Barbalat's lemma is used to analyze the stability and the control performance of the closed-loop system. Especially, under...
The inland lake is an important part of water supplies in arid areas, which is highly sensitive to the changes of hydrological environment and human activities. Lakes located in the arid environment are more sensitive to human activities and climate changes than in other regions. Dali Lake, the important lake in the arid areas of Inner Mongolia, has important index significance. In this paper, an...
The efficiency improvement of the energy router, based on the solid state transformer, is one of the significant issues for applications in the future power networks. Power losses of switching devices play a key role about the efficiency and have a close relationship with the device, topology and control of the energy router, especially under the diversity of structure. Based on models of actual Si...
The core temperature of power cables is a key supervising factor which concerns the operation safety of transmission line. However, direct measurement influences insulation performance due to embedding instruments into the cable. In this paper a measurement method using temperature retrieval is proposed. The finite element models of the cable are established for excavating the implicit relationships...
This paper presents a developed copper-iron alloy which made as the rotor sleeve in a high speed permanent magnetic machine (HSPMG), whist investigating its benefits in improve machine thermal performance. The features of the new alloy is experimental tested against the performance, which includes the conductivity, the permeability, and thermal conductivity, and the variation of loss distribution...
Energy balanced control method for converters with natural trajectory tracking is presented in this paper, and is visualized to show converters' energy conversion inside converters. This paper specially designs and analyzes a single-phase full-bridge inverter based on energy balance with natural trajectory tracking. Natural trajectory tracking introduces a better dynamic response than the conventional...
This paper proposes a statistical method to detection of Topological Charges (TCs) based on calculating the similarity factor (SF) between the instantaneous crosstalk distribution and the standard crosstalk distributions. The values of SF are time-varying, and we set a threshold to recognize TCs. Then, the probability density function (PDF) of the SF is obtained to estimate error rate of TC detection...
The wavefront compensation effect of the micro corner-cube-reflector arrays (MCCRAs) in modulating retroreflector (MRR) free-space optical (FSO) link is investigated by wave-optics (WO) simulation method that is based on the split-step beam propagation method and phase screen theory. Two kinds of the MCCRAs with the cell's apertures of the triangle and hexagon are considered with the aid of the numerical...
The comb filters consist of few mode fiber and standard single mode fiber suffer from low extinction radio. Replacing standard single mode fiber with small-mode-area fiber can better the balance excitation in few mode fiber, thus improve the extinction radio. A lab-made small-mode-area single mode fiber was utilized to a commercial few mode fiber and increase the extinction radio from 2.5dB to 6.5dB...
Resource demands prediction has become a promising tool to facilitate automatic scaling of resource management, which makes it feasible to reduce the cost and improve resource utilization in the cloud. Most current prediction methods of resource demands are based on a single model. However, the resource load patterns are usually diversity and variability in the cloud, it is hard to get the satisfactory...
Mild cognitive impairment (MCI) is constructed as an intermediate stage between normal aging and Alzheimer disease (AD). Various clinical criteria have been developed to quantify the risk of MCI patients converting to AD. One risk assessment criterion in assisting clinical decision is based on the amount of cerebral amyloid measured with florbetapir-fluorine-18 positron emission tomography (18F-AV45-PET)...
Odometry is a very popular research direction in recent decades and plays a very critical role in the autonomous navigation system. VISO2, as a relatively robust and mature visual odometry algorithm, becomes unreliable when distinct visual features are insufficiently or when the texture of the environment is repetitive. Even if not in such a challenging environment, the drift is still a big problem...
Obstacle information detection is a prerequisite for safety and stability driving of unmanned platforms in the unknown environments. Joint detection of the obstacle using the 3D laser radar (3D LADAR) and camera is proposed in this paper. Firstly, joint calibration between 3D LADAR and camera based on the planar feature method is done. Secondly, laser point cloud is clustered to identify the number...
We fabricated a grade-index core few mode fibre supporting 4 guiding mode groups and make some research on its key optical attributes. The differential group delay (DGD) and fibre loss of each guided mode based on mode excitation platform with the help of phase plate are measured.
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