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The linear induction machine (LIM) suffers heavily from low efficiency due to its large air-gap length, the influence of end-effects, and the partial load conditions. Several loss minimization control (LMC) techniques have been developed for LIM to adjust the flux to an optimal level to reduce the losses in the steady state. However, these methods are not applicable during dynamic process, since it...
In this paper we propose a compressive channel estimation for fast fading channel in orthogonal frequency division multiplexing (OFDM) systems. We formulate the sparse compressive sensing (CS) problem by exploiting the delay-Doppler sparse structure of the doubly dispersive channel. To combat the severe inter-carrier interference (ICI) caused by the Doppler shift, this estimator is based on the banded...
By using the MOS energy band diagram and Negative Bias Temperature Instability (NBTI) degradation model, an equation of NBTI degradation with channel doping concentration has been derived. Meanwhile, a new NBTI inhibition method by using different doping concentration has been proposed. The quantitatively calculation and simulation results show that, with the proposed method, the NBTI inhibition rate...
An i-vector has become the state-of-the-art algorithm for text-independent recognition. Most of related works take the extraction of the i-vector as a black-box by using some open software (e.g. Kaldi, Alize) and focus on the vector-based back-end algorithms, such as length normalization, WCCN, or PLDA. In this paper, we study the variational method and present a concise derivation for the i-vector...
The photovoltaic-battery hybrid power system is a kind of flexible renewable power generation system, which is composed of a photovoltaic array and a battery connected to an output DC bus via power converters. The system can work with multiple structures and multiple operating modes due to the source and load states. Particularly, the nonlinear nature of the constant power load will destablize the...
To reduce the routing overhead in routing discovery of Ad hoc On-demand Distance Vector junior routing (AODVjr) algorithm and decrease energy consumption of ZigBee network, the improved AODVjr routing algorithm based on node depth in ZigBee network is proposed. Utilizing ZigBee hierarchical structure and the node depth, the proposed algorithm sets the tree routing hops between source node and destination...
Influence maximization aims to find a set of highly influential nodes in a social network to maximize the spread of influence. The most difficult part of the problem is to estimate the influence spread of any seed set, which has been proved to be #P-hard. There is no efficient method to estimate the influence spread of any seed set till now. Thus, the most common way to obtain the approximate influence...
It's usually not easy to compare linear toolmarks quickly and quantitatively with the current image processing and three-dimensional scanning methods. In order to deal with these kinds of problems, a similarity matching algorithm for laser detection signals of linear marks is proposed. In this method, locally weighted scatterplot smoothing algorithm is used to performs noise reduction on the surface...
Traditionally, direct weighting method is adopted in the calculation of price index in a region. Under the online shopping environment, there are significant differences in consumer spending in different E-commerce enterprises, because the business scope, the main commodities, and the target consumers vary a lot in different enterprises. If the direct weighting method is adopted, the price index of...
This paper proposes a new method of linear inverted pendulum control, which is used to control the quadruped robot walking on regular uneven terrain such as ramp and stair, furthermore, this method can be applied to a more rugged terrain. This paper analyzes the dynamic parameters of a quadruped robot walking on the complex terrain, which means the supporting points of the robot lie in different heights...
Compared with a hash table, a Bloom Filter (BF) is more space-efficient for supporting fast matching though resulting in a controllable and acceptable false positive probability. The space size of the basic BF is predetermined based on the expected number of elements to be stored. However, we cannot predict the scale of a BF space for dynamic sets. The two existing solutions for supporting dynamic...
Evaluating repayment ability and willing has abstracted a lot of attention from various aspects, such as finance, marketing, economics, mathematics and information science. Various credit evaluation methods emerge from time to time. Despite of the differences among these methods, constraints cannot be absent. This paper proposes an opportunity cost based transaction credit evaluation constraint model...
Objective: To evaluate the capability of Critical Condition Scoring Scale of Traditional Chinese Medicine (CSSTCM) in predicting complication morbidity and mortality among elder patients who received orthopedic surgery. Methods: Evaluate patients in second orthopedic department of Guangdong Provincial Hospital of Chinese Medicine from September 2012 to March 2013 by CSSTCM and POSSUM. All data were...
Micro-blog network can spread information faster and more widely than ever in a new emerged style and the spread mechanism of micro-blog network is of great importance to guide public opinion. At the same time, the structure of micro-blog network is one of the basic issues of the spread mechanism research of micro-blog network. This paper discusses how to model and simulate micro-blog's structure...
We proposes an interference mathematical model of LMS algorithm beam forming after analyzing LMS using matrix theory, and we also build another mathematical model of output SINR (Signal to Interference and Noise Ratio) by assuming the signal and interference are unrelated. Then, based on these models, we further analyze the anti-noise performance of LMS algorithm when there are no inference signals,...
The flooding velocity is an important but difficult to accurately predict parameter for the packed column design. With the appearance of new packing shapes, traditional empirical models are insufficient to satisfy the requirement of engineering applications. In this paper, a novel approach using least squares-support vector machine (LS-SVM) is proposed to predict the flooding velocity in the randomly...
In allusion to the problem of formulation of flood disaster classification standards, this paper proposes a method to deal with a fuzzy clustering iterative model and chaotic differential evolution algorithm. After analyzed a flooding example with fuzzy clustering iterative model, the classification standards was developed according to the optimal fuzzy clustering center matrix and the standard was...
The requirements of higher train speed, safety and more smooth and comfortable travelLing are increasing strongly. This leads the need of predictive maintenance. Tamping machines have been used for this purpose. Tamping machines on the market are mostly mechanically driven. A new hydrauLically driven tamping device is proposed to overcome the Limitations of mechanically driven machines. A new type...
According to the operation performance of Doubly-fed wind power system, a novel soft grid connection strategy with initial error compensation is proposed in this paper. Grid connection mathematical model of doubly-fed induction generator is deduced, and soft grid-connection control system of DFIG is designed based on the stator flux orientation vector control technique with the rotor current dynamic...
The Localization is an important topic in wireless sensor networks (WSN). In this paper, an improved Sum-Dist approach is used to reduce the impact of distance measurement errors on the location estimate. In addition, the proposed strategy to get accurate position of the unknown sensor using by using a minimum numbers of anchor nodes can reduce the final localization error. The simulation results...
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