Advanced Materials Research Vol. 787

Abstract: In the application scene of the wireless sensor network, the distribution of nodes in the ideal case should be symmetrical. Each beacon node can help unknown nodes to locate. However, in the actual application environment, uneven distribution of nodes and irregular radius of node communication exist which lead to some unknown nodes that can not be achieved positioning. Based on the above problems, such nodes will be positioning analyzed and solutions are proposed to improve the precision and coverage of the network node positioning.

Abstract: In this paper, we propose a novel model of three points named TP for location estimation in wireless sensor networks (WSNs) with random deployment of anchor nodes. In this model, we select three anchor nodes which have the strongest received signal strength (RSS) for location estimation, the centroid algorithm and the method of intersection of judgment are used to estimate the location of unknown nodes. To further exploit three nearest intersection points in TP, the enhanced TP (ETP) is proposed. The simulation results show that the proposed models outperform MMSE and BML in terms of the localization accuracy for WSNs. Moreover, the localization accuracy of the proposed models in scenario 2 with random deployment of anchor nodes are better than in scenario 1 with planned deployment of anchor nodes. Additionally, compared with MMSE and BML, ETP and TP can reduce the environmental impact on location estimation.

Abstract: The purpose of this paper is to investigate and identify the total quality management (TQM) practices that give the positive impact to the innovation capability of the organization. The connection between the quality management and as well as the innovation capabilities has been explored. Base on the literature review, majority of previous studies support the notion that TQM practices have significant relationship with innovation capability of the organization. The TQM practices that are identified to have impact to innovation capability are leadership, strategic planning, customer focus, process management and people management.

Abstract: With the help of the symbolic computation system Maple and the extended mapping approach and a linear variable separation approach, a new family of exact solutions (including the solitary wave solutions, periodic wave solutions and rational function solutions) of the (1+1)-dimensional Benjamin-Boma-Mahony (BBM) equation is derived.

Abstract: A mathematic model based on moving mesh Arbitrary Lagrange-Eulerian (ALE) is developed to solve incompressible fluid flow concerned with the free surface and wettability. A mercury sessile drop with different wetting angles is chosen to validate this method. Besides, two more extensive applications called electrowetting-on-dielectric (EWOD) and transferred drop are numerically simulated and compared with previous researchers work in order to demonstrate its efficiency.

Abstract: In the present paper, the higher order shear deformation theories of Touratier and Karama and meshless global collocation method based on the inverse multiquadric radial basis function are used to analyze the bending response of the exponentially graded plates. The material properties of the plates vary exponentially in the thickness direction. The present results are compared with three-dimensional elasticity solutions.

Abstract: By using the imputation-based estimating equation method, an imputed estimation procedure for the coefficient functions is proposed. The proposed procedure can attenuate the effect of the missing data, and performs well for the finite sample.

Abstract: Chaos has been found to be very useful and has great potential in information and computer sciences and so on. In the paper a class of chaotic dynamic systems is studied. Moreover, the globally exponentially attractive set and positive invariant set of the chaos systems are given under some conditions. Finally an example is given to illustrate the result.

Abstract: Channel estimation is an important research direction in wireless communications; channel estimation based on the training sequence is the most commonly used method. Different training sequence is very different from the performance of channel estimation, in order to improve channel estimation accuracy. This paper analyzes the common m sequence and from the optimal channel estimated performance point design of applicable in any given length of sequence. The sequence, respectively, under the traditional channel estimated algorithm and based on compressed sensing to channel estimation algorithm has the criterion of Minimum Mean Square Error. Meanwhile, the sequence obtained after the demodulated training sequence through different modulation systems are different, so as to have greater flexibility.