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Accompanying increasing competition among the communication industry, maintaining and improving the stability and loyalty of customers has become the key determinant of profitability. In order to prevent the loss of customers, we need to identify the stable users by data mining model. Through the evaluation of three models, Random Forest model performs with better robustness. This model can describe...
Traditional CMOS integrated circuits suffer from elevated power consumption as technology node advances. A few emerging technologies are proposed to deal with this issue. Among them, STT-MRAM is one of the most important candidates for future on-chip cache design. However, most STT-MRAM based architecture level evaluations focus on in-plane magnetic anisotropy effect. In the paper, we evaluate the...
We present an initial state correction algorithm for GNSS orbit prediction that uses the solution of the Hill-Clohessy-Wiltshire equation to build the Jacobian matrix. This algorithm improves the accuracy of GNSS orbit prediction through adding one or more observations. In the tests of 14 days orbit prediction, by adding one broadcast ephemeris as an observation collected before the initial BE with...
Nowadays the RSA cryptographic algorithm is widely used to protect Big Data security and privacy. Fault injection has been proved effective against RSA implementations. Although heavy ions have been long known as a source to cause single event effect (SEE), there is few publication about how the RSA implementations could be compromised by ion strikes. This paper proposes an RSA implementation specifically...
In the protein-protein interactions (PPI), hot regions are the key factor to maintain metabolism and the cause of disease. The conformation and prediction of the hot regions effectively is a worth researching topics. This paper proposes a prediction method of hot regions based on complex network and community detection. In the prediction process, a hotspots retrieving strategy is used to exploit false...
To ensure a reliable application of li-ion batteries on electric vehicles (EVs), life prediction of li- ion cells is very essential. The main objective of the present study is to propose a semi-empirical capacity fading model of li-ion batteries being practical for predicting the degradation of battery capacity under real working conditions. The capacity fading of li-ion cells is considered to be...
The interior permanent magnet (IPM) machine with fractional-slot concentrated-windings (FSCW) has become a popular research topic owing to their novel structures and attracting potentials. This paper is focused on inductances and saliency ratios in IPM FSCW machines with different pole and slot combinations. Analytical expressions of inductances and saliency ratios are derived using harmonic analysis...
Blind noisy image quality assessment aims to evaluate the quality of the degraded noisy image without the need for the ground truth image. To tackle this challenge, this paper proposes an image quality assessment approach using block homogeneity. The contribution of the proposed approach is two-fold. First, a block-based homogeneity measure is proposed to estimate the statistics (e.g., variance) of...
This paper proposes an approach to improve the existing grid-based clustering algorithms with a further grid partition strategy and an incremental clustering function. This new algorithm IGDDT is based on density-dimension tree, which has the ability to reuse the previous clustering results, and obtain the better clusters by further dividing the grid cell in the clustering process. The experimental...
This paper presents a new mathematical model and solution technique for horizontal wells in two-zone linear composite infinite reservoirs which are assumed to be isotropic in each one of the two zones. The model is solved by using Fourier and Laplace transformation. Based on Duhamel principle, wellbore storage and skin effects can easily be incorporated. Pressure respond curves are plotted with Stehfest...
Low-speed multiple-pole permanent-magnet (PM) synchronous machines have been widely used in direct-drive (DD) applications. Influences of pole number variation on various aspects of machine performance, including power density, power factor, and magnet-demagnetization, are analyzed in the paper. A pole number selection strategy is proposed based on overall considerations of machine cost and performance...
Traditional classification algorithms are difficult in dealing with imbalance data. This paper proposes a classification algorithm called CascadeBoost, which combines with the advantages of boosting algorithm and cascade model that can learn imbalance data. Cascade model allows the pre-training data to be balanced by gradually reducing the number of the major class; and then the most rich information...
A reflection-mode photoplethysmographic (rPPG) patch probe has been researched to improve its performance for non-invasive physiological assessment through electrically conductive adhesives (ECAs) based manufacture processes. Special PiN photodiodes and Light Emitting Diodes (LEDs) were mounted on a flexible printed circuit to reach the objectives of both sensitivity and stability, and user comfort...
In this paper, it is shown that the split ratio of stator inner diameter to outer diameter influences the torque density in Switched Flux Permanent Magnet (SFPM) machines more heavily than that of conventional Permanent Magnets (PM) machines, since PM are inserted in the stator for SFPM machines. This paper presents a simplified Magnetic Circuit Analysis(MCA) method to analytically optimize the split...
To help machine designers to design large permanent magnet (PM) machines to be more accurate, this paper presents a set of design considerations that are very often ignored by machine designers. These considerations are categorized into several aspects: electromagnetic (EM) performance, losses and efficiency, fault and stability, and some other issues. The effects of various practical factors are...
The computer based simulation experiment platform, presenting the real automotive moving and performance test analysis process, can meet various teaching tasks for automotive engineering majors with different orientations. The paper introduces the simulation experiment platform from three aspects: 16 simulation modules programmed by Matlab and LabVIEW, the physical experiment system including automotive...
In this paper, we investigate the joint use of modified k-means clustering and selecting a set of data near the decision remote sensing image with support vector machine (SVM). We propose to find informative samples and label them as near border training samples, which are induced by cluster center and cosine similarity measure between these data points and cluster center. The proposed approach works...
The real-time data stream clustering and the detection of clustering boundary is an interesting research work. This paper proposes a clustering algorithm named DDBound with boundary detection ability for grid clustering based on distance and density. DDBound firstly calculates the densities of all grids, and divides them into high-density grids and low-density grids. From all grids, the algorithm...
Web application has become one of the main network applications. The security in web application systems is very important. In this paper we present a method for tracking suspicious users based on web data analysis. Based on a browser/server model, internet flow data are stored in the server and outliers considered as the suspicious users are detected with web data analysis. The behaviors of these...
This paper presents a new structural feature for feature-based retinal image registration. The conventional point-matching methods largely depend on the branching angles of single bifurcation point. The feature correspondence across two images may not be unique due to the similar angle values. In view of this, structure-matching registration is favored. The bifurcation structure is composed of a master...
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