The aim of this project is stress testing of the system for data management and planning of the operations developed for home care agencies which has to be upgrading of the current system based on the older database o...
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ISBN:
(纸本)9781424460793
The aim of this project is stress testing of the system for data management and planning of the operations developed for home care agencies which has to be upgrading of the current system based on the older database of Microsoft Access product. The part of the system is a mobile application that allows employees to edit the records of patients directly in the terrain. The whole system, including applications developed for the stress testing is based on Microsoft technology .NET. Our Stress Testing application allows testing a selected problem areas to find any limitations before the tested developing solution will be set up at customer. By the help of our test application, the hardware solution for the server was selected on the base of selected home care agency needs.
Time-triggered periodic control implementations are over provisioned for many execution scenarios in which the states of the controlled plants are close to equilibrium. To address this inefficient use of computation r...
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Time-triggered periodic control implementations are over provisioned for many execution scenarios in which the states of the controlled plants are close to equilibrium. To address this inefficient use of computation resources, researchers have proposed self-triggered control approaches in which the control task computes its execution deadline at runtime based on the state and dynamical properties of the controlled plant. The potential advantages of this control approach cannot, however, be achieved without adequate online resource-management policies. This paper addresses scheduling of multiple self-triggered control tasks that execute on a uniprocessor platform, where the optimization objective is to find trade-offs between the control performance and CPU usage of all control tasks. Our experimental results show that efficiency in terms of control performance and reduced CPU usage can be achieved with the heuristic proposed in this paper.
In this paper, the stabilization problems of a class of new hyperchaotic systems with fully unknown parameters are concerned. Based on the adaptive control idea, two novel adaptive state feedback controllers are desig...
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In this paper, the stabilization problems of a class of new hyperchaotic systems with fully unknown parameters are concerned. Based on the adaptive control idea, two novel adaptive state feedback controllers are designed to implement the asymptotic stabilization of this kind of new hyperchaotic system by choosing appropriate controller structure and parametric updating law, respectively. The effectiveness of the proposed adaptive control method is verified by simulation results.
Among various redundancy based gene selection methods, the Fast Correlation-Based Filter (FCBF) is one of the most effective. FCBF works in an iterative way, where one predominant feature is selected at each step and ...
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Among various redundancy based gene selection methods, the Fast Correlation-Based Filter (FCBF) is one of the most effective. FCBF works in an iterative way, where one predominant feature is selected at each step and then some redundant features are removed by the selected one. However, the size of selected feature subset is not considered by FCBF, and weakly relevant features are too inclined to be eliminated. Aiming at this problem, this paper proposes a new approximate Markov blanket definition for FCBF, which strengthens the criterion for redundant features. Based on the new definition, the size of the selected feature set is used to adjust the criterion dynamically. Experimental results on several real gene data sets demonstrated the outstanding performance of the proposed algorithm compared with other several state-of-arts techniques.
This paper considers the generalized synchronization problems of two different hyperchaotic systems with unknown parameters. By denoting the synchronization error signals as the difference between the state variables ...
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This paper considers the generalized synchronization problems of two different hyperchaotic systems with unknown parameters. By denoting the synchronization error signals as the difference between the state variables of the drive system and the state variables of the response system, the hyperchaotic synchronization problem is transformed into the stabilization control problem of the origin of the synchronization error system. Based on the Lyapunov stability, a new adaptive synchronization controller is designed and the asymptotic stability of the origin of the synchronization error system is proved, simulation results illustrate the correctness of the proposed generalized synchronization method.
Scan matching techniques have been widely used to compute the displacement of robots. This estimate is part of many algorithms addressing navigation and mapping. This paper addresses the scan matching problem in three...
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Scan matching techniques have been widely used to compute the displacement of robots. This estimate is part of many algorithms addressing navigation and mapping. This paper addresses the scan matching problem in three dimensional workspaces. We propose an generalization of the Metric based Iterative Closest Point (MbICP) to the 3D case. The main contribution is the development of all the mathematical tools required to formulate the ICP with this new metric, including the derivation of point to plane distances based on the new metric. We also provide experimental results to evaluate the algorithms and different combinations of ICP and MbICP to illustrate the advantages of the metric based approach.
This paper proposes a new 4-Degree-of-Freedom (DOF) master-slave system for 3 dimensional needle steering. Both master and slave devices are commonly composed of a 3 DOF spherical type parallel mechanism and a 1 DOF n...
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This paper proposes a new 4-Degree-of-Freedom (DOF) master-slave system for 3 dimensional needle steering. Both master and slave devices are commonly composed of a 3 DOF spherical type parallel mechanism and a 1 DOF needle insertion mechanism. This system provides users with 3 dimensional needle steering and force reflection capabilities. The real time forward solution of the master device is addressed. The design of the master-slave system is described in detail. Finally, the effectiveness of this system for 3 dimensional needle steering task is verified through experimental work.
Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input v...
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Parallel current mode control algorithm for DC-DC converters is introduced in this paper. This control strategy is composed of two parallel terms: voltage term and current term which is calculated based on the input voltage, inductor current and output voltage. The new duty cycle algorithm requires only one multiplication, one division and three additions in digital implementation. The simulation results demonstrate that parallel current mode control has superior steady-state response over the conventional current mode control, and maintains a good dynamic response. A 400-kHz switching frequency Buck converter based on FPGA implementation shows that the new duty cycle control strategy is optimal for digital control.
In this paper we study a distributed coordinated tracking problem for networked Euler-Lagrange systems. The objective is for a team of followers modeled by Euler-Lagrange equations to track a leader under the constrai...
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ISBN:
(纸本)9781424477456
In this paper we study a distributed coordinated tracking problem for networked Euler-Lagrange systems. The objective is for a team of followers modeled by Euler-Lagrange equations to track a leader under the constraints that the leader is a neighbor of only a subset of the followers and the followers have only local interaction. We consider two cases: i) The leader has a constant vector of generalized coordinate derivatives, and ii) The leader has a varying vector of generalized coordinate derivatives. In the first case, we propose a distributed continuous estimator and an adaptive control law to account for parametric uncertainties. In the second case, we propose a model-independent sliding mode control algorithm.
Emerging technologies have made low-power and low-cost wireless sensor networks feasible. This paper presents a hierarchical wireless sensor network for measuring soil parameters such as temperature and humidity. Spec...
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ISBN:
(纸本)9781424428328;9781424428335
Emerging technologies have made low-power and low-cost wireless sensor networks feasible. This paper presents a hierarchical wireless sensor network for measuring soil parameters such as temperature and humidity. Specifically, we designed sensor nodes that are placed completely underground and are used to collect soil measurements. These nodes use their radios to deliver the collected measurements to one of multiple relay nodes located above ground. In turn, relay nodes that are capable of long-range communications forward the data collected from the network's sensor nodes to a base node, which is connected to a workstation. The proposed hierarchical wireless sensor network uses a probabilistic communication protocol to achieve a very low duty cycle and hence a long life-time for soil monitoring applications.
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