Current Issue : October - December Volume : 2015 Issue Number : 4 Articles : 6 Articles
In this work, we propose a new fourth-order Jarratt-type method for solving\nsystems of nonlinear equations. The local convergence order of the method is proven\nanalytically. Finally, we validate our results via some numerical experiments including an\napplication to the Chandrashekar integral equations....
Aims: Since pattern classification of fetal heart rate (FHR) was subjective and\nenlarged interobserver difference, objective FHR analysis was achieved with computerized\nFHR diagnosis. Methods: The computer algorithm was composed of an experts� knowledge\nsystem, including FHR analysis and FHR score calculation, and also of an objective artificial\nneural network system with software. In addition, a FHR frequency spectrum was studied to\ndetect ominous sinusoidal FHR and the loss of baseline variability related to fetal brain\ndamage. The algorithms were installed in a central-computerized automatic FHR monitoring\nsystem, which gave the diagnosis rapidly and directly to the attending doctor. Results:\nClinically perinatal mortality decreased significantly and no cerebral palsy developed after\nintroduction of the centralized system. Conclusion: The automatic multichannel FHR\nmonitoring system improved the monitoring, increased the objectivity of FHR diagnosis and\npromoted clinical results....
The identification difficulties for a dual-rate Hammerstein system lie in two\naspects. First, the identification model of the system contains the products of the parameters\nof the nonlinear block and the linear block, and a standard least squares method cannot be\ndirectly applied to the model; second, the traditional single-rate discrete-time Hammerstein\nmodel cannot be used as the identification model for the dual-rate sampled system. In order\nto solve these problems, by combining the polynomial transformation technique with the key\nvariable separation technique, this paper converts the Hammerstein system into a dual-rate\nlinear regression model about all parameters (linear-in-parameter model) and proposes a\nrecursive least squares algorithm to estimate the parameters of the dual-rate system. The\nsimulation results verify the effectiveness of the proposed algorithm....
Parallel algorithms, such as the ant colony algorithm, take a long time when\nsolving large-scale problems. In this paper, the MAX-MIN Ant System algorithm (MMAS)\nis parallelized to solve Traveling Salesman Problem (TSP) based on a Spark cloud\ncomputing platform. We combine MMAS with Spark MapReduce to execute the path\nbuilding and the pheromone operation in a distributed computer cluster. To improve the\nprecision of the solution, local optimization strategy 2-opt is adapted in MMAS. The\nexperimental results show that Spark has a very great accelerating effect on the ant colony\nalgorithm when the city scale of TSP or the number of ants is relatively large....
CLOPE (Clustering with sLOPE) is a simple and fast histogram-based\nclustering algorithm for categorical data. However, given the same data set with the same\ninput parameter, the clustering results by this algorithm would possibly be different if the\ntransactions are input in a different sequence. In this paper, a hierarchical clustering\nframework is proposed as an extension of CLOPE to generate stable and satisfactory\nclustering results based on an optimized agglomerative merge process. The new clustering\nprofit is defined as the merge criteria and the cluster graph structure is proposed to\noptimize the merge iteration process. The experiments conducted on two datasets both\ndemonstrate that the agglomerative approach achieves stable clustering results with a better\nprofit value, but costs much more time due to the worse complexity....
The optimizing design for enhancement of the micro performance of manipulator\nbased on analytical models is investigated in this paper. By utilizing the established\nuncanonical linear homogeneous equations, the quasi-static analytical model of the\nmicro-manipulator is built, and the theoretical calculation results are tested by FEA\nsimulations. To provide a theoretical basis for a micro-manipulator being used in\nhigh-precision engineering applications, this paper investigates the modal property based\non the analytical model. Based on the finite element method, with multipoint constraint\nequations, the model is built and the results have a good match with the simulation. The\nfollowing parametric influences studied show that the influences of other objectives on one\nobjective are complicated. Consequently, the multi-objective optimization by the\nderived analytical models is carried out to find out the optimal solutions of the manipulator.\nBesides the inner relationships among these design objectives during the optimization process\nare discussed....
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