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Wireless body area network (WBAN) is emerging as a powerful tool for health management which is characterized by a modest number of sensors placed on or around human bodies. Since sensor nodes are generally battery-powered devices, reducing sensor node power consumption to improve the efficiency and save sensor usage costs is crucial. In this paper, a convex optimization method based beam-pattern...
To measure the physiological parameter accurately, a plenty of sensors are placed in, on or around the human body, which form the Wireless Body Area Network(WBAN). But for energy saving, some sensors can be chosen to achieve the same goal. So an iterative convex optimization algorithm with constrained beam-pattern synthesis of sensor selection is proposed to solve this problem. In the optimization...
In the service-oriented architecture, component services can be composed to provide value-added services. The notion of composite service skyline facilitates obtaining a QoS-optimal service combination. State-of-the-art approach to computing composite service skyline assumes that candidate services of different tasks are independent. However, real-word services are usually QoS-correlated. To this...
As an open complex system, the supplier evaluation system should be a multi-dimensional space system, which can not be viewed merely as a square, this paper introduces supplier evaluation and management model based on TAD of three-dimensional. TAD model is a three-dimensional frame structure, made up by time, attributes and decision points, each of which contains its own dimension and scalable level...
In this paper BP network was improved based on the Double Chains Quantum Genetic Algorithm (DCQGA). The predicted model of laser bending angle based on our proposed BPN-DCQGA network was set up in the process of sheet metal laser bending. The BPN-DCQGA network was trained and verified through the sample data result from experimental data, and it is proved that our proposed network has enhanced the...
Model predictive control (MPC) is to solve an optimization problem for a finite future at current time and to implement the first optimal control input as the current control input. To improve the performance of the Stirred Tank Reactor, a new method based on predictive hierarchical control was introduced. As a modification of the regulatory controller usually implies higher costs, it is a common...
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