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To find a specialty-counterpart, diagnosis-accurate, skill-superb, reputation-high, and meanwhile cost-effective and distance-close doctor is always essential for patients but not an easy job. According to various categories of medical professions, the diversity of user symptoms, and the information asymmetry and incompetence of doctors' profiles as well as patients' medical history, today most recommender...
In this paper, we investigate precoding and limited feedback schemes for multiuser multi-input multi-output (MIMO) relay systems providing physical layer security. Thereby, we take the effect of the quantized channel state information (CSI) into account for relay precoder optimization. With the quantized CSI available, the relay station (RS) optimizes its precoder by maximizing the transmit power...
This paper mainly studies the speed control for a permanent magnet synchronous motor system. The relationship between the reference quadrature axis current and the speed output is approximately considered as a second-order model. Based on this second-order model, a composite control strategy is adopted, where a continuous sliding mode controller is designed for the speed regulation without chattering...
Single-sided linear induction motors (SLIMs) have been increasingly developed in industries in the past ten years, especially in transportation systems. This is basically due to their merits of direct thrust, high acceleration and deceleration, less mechanical loss, etc. However, for the SLIMs special physical structure, including the cut-open magnetic circuit, different width between primary and...
With the rise of e-commerce business, sales forecasting plays an increasingly important role, for accurate and speedy forecasting can help e-commerce companies solve all the uncertainty associated with demand and supply and reduce inventory cost. As the rapid growth in the amount of data, traditional intelligence models like Neural Networks have weakness in terms of speed. In this paper, we introduce...
As the core of the supply chain management, the inventory management deserves more of our attention, and in the complicated supply chain, especially under the circumstance of spending a long cycle, the inventory management becomes very difficult, which we need to balance the amount of circulating funds used by overmuch inventory and the loss of stock-out. The demand of marketing is viewed as the foundation...
In this paper we present a novel approach for discrimination of frontal face in video, using integral channel features(ICF) and Adaboost. We have two stages for this approach based on classification, the first stage is training process, we utilize ICF exacted from training database to train strong classifier, which is implemented by Adaboost. The second stage is discriminating process by scoring,...
Traditional OTA (Online Travel Agent) is challenged by the Internet and mobile business with the evolution of information. The precise forecasting of ticket sales in OTA companies is beneficial to budget control and service quality. The paper develops an integrated forecasting model by combining the internal factors immediately influencing the ticket sales and the external factors reflecting the ticket...
X-ray bursts have been observed in association with rocket-triggered lightning and natural cloud-to-ground lightning [e.g., Dwyer et al., Science, 299, 694–697, 2003; Saleh et al., JGR, 114, D17210, 2009; Schaal et al., JGR, 117, D15201, 2012]. Moreover, recent measurements at the International Center for Lightning Research and Testing (ICLRT) [e.g., Dwyer et al., GRL, 32, L01803, 2005; Howard et...
Terrestrial Gamma-ray Flashes (TGFs) are high-energy photon bursts originating from the Earth's atmosphere. After their discovery in 1994 by the Burst and Transient Source Experiment (BATSE) detector aboard the Compton Gamma-Ray Observatory [Fishman et al., Science, 264, 1313, 1994], this phenomenon has been further observed by the Reuven Ramaty High Energy Solar Spectroscopic Imager (RHESSI) [Smith...
Crude oil plays a significant role in the modern society and its price prediction attracts more and more attentions, not only for its importance to the modern industry, but also for its complex price movement. Based on PMRS, ECM and NN, this paper presents an integrated model to forecast crude oil prices. In the proposed model, PMRS is first used to model the trend of crude oil price, and then ECM...
This paper presents the media factor, which reflects the non-fundamentals of information. As taken gold futures as example, we focus on the analysis of futures market price linkage model based on web news media. Firstly, we define the media factor in three-dimensional vector, including news number index, news length index and pessimism index, and find that it has great impact on information transmission...
In this paper, the rate of the returns is predicted using AR-MRNN and SVM and then the prediction-based portfolio selection model using SVM and the prediction-based portfolio selection model using AR-MRNN are proposed. Compared with the performance of the prediction of the AR-MRNN predictor and the SVM predictor, we found that the accuracy of the SVM is superior to the AR-MRNN. Compared with the performance...
Web news fills our life from national affairs to small matters, containing the latent useful information that can reflect the trend of consumer price index. Most previous studies forecast the CPI basing on the historical data while in this paper, the external information is considered and modeled by using the combination of neutral network and seasonal ARIMA model in order to correct the forecasting...
Most of the variable step-size algorithms for the photovoltaic (PV) generation system use the derivative values of power versus voltage (P'(u)) as the basic step-size reference. However, due to the fact that the mathematical properties of P'(u) are nonlinear and different on both sides of the maximum power point (MPP), some essential parameters, such as the maximal step-size, scaling factor and other...
This article introduced institutional embeddedness into the study on network power and competitive advantage. Based on the theory source, the paper built the relational model and made an empirical study on the model by taking the manufacturing enterprises in Beijing, Tianjin and Hebei as the small samples, then chose SPSS and AMOS as statistic tools. The relationship of network power and competitive...
C. T Lin and E. Tadmor developed the staggered version of the LxF schemes for reducing the excessive numerical viscosity. A class of non-staggered and non-oscillatory central difference schemes are constructed based on their schemes. Finally, several typical numerical experiments show that these schemes have advantages of low numerical viscosity and are easy to treat boundary conditions and high resolution.
Research proposal grouping is one of the most important tasks for research project selection in research funding agencies. In this paper, a novel ontology based frequent item set method is proposed to deal with research proposal grouping problem. In the proposed method, a research ontology is firstly constructed to standardize research keywords. Secondly, frequent item sets with different support...
Based on the reconstruction by using least squares fitting method and corresponding limiter correction, a class of high accuracy schemes are constructed for solving Hamilton-Jacobi equations. Several typical numerical tests demonstrate the desired low computational cost, high resolution and simple form.
The increasing complexity of engineering systems has sparked rising interests in multidisciplinary design optimization (MDO). However, the main challenges in MDO are its computational expense and complexity structure. Therefore, to address these challenges, this paper focuses on a new MDO method, interaction prediction optimization approach, which is a design architecture applied in the multidisciplinary...
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