Our previous study successfully improved short term memory by individual alpha neurofeedback training. However, short term memory and its improvement in different languages are still not clear. Therefore, the purpose ...
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Our previous study successfully improved short term memory by individual alpha neurofeedback training. However, short term memory and its improvement in different languages are still not clear. Therefore, the purpose of this paper was to evaluate the memory performance in alphabetic and ideographic language groups. Besides, the relationship between initial memory and its improvement was investigated. The results indicated short term memory in ideographic language was higher than those in alphabetic language and forward digit span improvement was positive related to its initial performance.
Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbin...
Research on wind turbine Operations & Maintenance (O&M) procedures is critical to the expansion of Wind Energy Conversion systems (WEC). In order to reduce O&M costs and increase the lifespan of the turbine, we study the application of Set-Valued Observers (SVO) to the problem of Fault Detection and Isolation (FDI) and Fault Tolerant Control (FTC) of wind turbines, by taking advantage of the recent advances in SVO theory for model invalidation. A simple wind turbine model is presented along with possible faulty scenarios. The FDI algorithm is built on top of the described model, taking into account process disturbances, uncertainty and sensor noise. The FTC strategy takes advantage of the proposed FDI algorithm, enabling the controller reconfiguration shortly after fault events. Additionally, a robust controller is designed so as to increase the wind turbine's performance during low severity faults. Finally, the FDI algorithm is assessed within a publicly available benchmark model, using Monte-Carlo simulation runs.
Preliminary analysis of magnetorheological fluid usability in fluid lubricated bearings has been described in the present study. Results of the study aimed at rheological properties of chosen fluids, which possess mag...
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Structure and basal application of magnetorheological fluids as well as their application in rotary shaft seals, have been presented in this study. As the application of magnetorheological fluid in seals is relatively...
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This paper presents a novel integrated guidance and control strategy for docking of Autonomous Underwater Vehicles (AUVs). The approach to the base, and hence the control design, is divided in two steps: i) in the fir...
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ISBN:
(纸本)9781457710957
This paper presents a novel integrated guidance and control strategy for docking of Autonomous Underwater Vehicles (AUVs). The approach to the base, and hence the control design, is divided in two steps: i) in the first, at higher speed, the vehicle dynamics is assumed to be underactuated and an appropriate control law is derived to steer the vehicle toward the final docking path, achieving convergence to zero of the appropriate error variables for almost all initial conditions;ii) in the second stage, at low speed, the vehicle is assumed to be fully actuated, and a robust control law is designed that achieves convergence to zero of the appropriate error variables for all initial conditions. Simulation are presented illustrating the performance of the proposed controllers.
This paper addresses the problem of Fault Detection and Isolation (FDI) for navigation systems equipped with sensors providing inertial measurements and vector observations. Two strategies are proposed. The first one ...
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This paper addresses the problem of Fault Detection and Isolation (FDI) for navigation systems equipped with sensors providing inertial measurements and vector observations. Two strategies are proposed. The first one takes advantage of existing hardware redundancy, providing sufficient conditions for the isolation of faults. The second approach exploits the analytical redundancy between the angular velocity measurements and the vector observations, by resorting to Set-Valued Observers (SVOs). The behavior of both strategies are illustrated in simulation.
A review of the studies carried out on this subject so far was made, and the available mathematical models applicable at Phase I of the diecasing process were presented. Own model testing of the examined process phase...
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this paper introduces a novel approach of stiffness measurement based on force and vision sensing for tissue diagnosis. The developed probe is mainly composed of a force sensor and an image acquisition unit capable of...
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ISBN:
(纸本)9781424441198
this paper introduces a novel approach of stiffness measurement based on force and vision sensing for tissue diagnosis. The developed probe is mainly composed of a force sensor and an image acquisition unit capable of obtaining contact area of probe-soft tissue interaction. By measuring the change of diameter of contact area during indentation test, the indentation depth can be determined. The stiffness of target soft tissue then can be evaluated by measuring indentation force and depth simultaneously. The probe can generalize a mechanical image to visualize the stiffness distribution for localization of abnormalities when sliding over soft tissue. The performance of the developed probe was validated by experiments on multiple materials including silicone phantoms and pork organs. The results show that the probe can perform stiffness measurement effectively when the probe indents or slides on the tissue surface.
This paper presents the design, analysis, and experimental validation of a sensor-based globally asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with application to uninhabited aeri...
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ISBN:
(纸本)9781457710957
This paper presents the design, analysis, and experimental validation of a sensor-based globally asymptotically stable (GAS) filter for simultaneous localization and mapping (SLAM) with application to uninhabited aerial vehicles (UAVs). The SLAM problem is first formulated in a sensor-based framework, without any type of vehicle pose information, and modified in such a way that the underlying system structure can be regarded as linear time varying for observability, filter design, and convergence analysis purposes. Thus, a Kalman filter follows naturally with GAS error dynamics that estimates, in a robocentric coordinate frame, the positions of the landmarks, the velocity of the vehicle, and the bias of the angular velocity measurement. The online inertial map and trajectory estimation is detailed in a companion paper and follows from the estimation solution provided by the SLAM filter herein presented. The performance and consistency of the proposed method are successfully validated experimentally in a structured real world environment using a quadrotor instrumented platform.
A novel sensor-based filter for simultaneous localization and mapping (SLAM), featuring globally asymptotically stable error dynamics, is proposed in a companion paper, with application to uninhabited aerial vehicles ...
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ISBN:
(纸本)9781457710957
A novel sensor-based filter for simultaneous localization and mapping (SLAM), featuring globally asymptotically stable error dynamics, is proposed in a companion paper, with application to uninhabited aerial vehicles (UAVs). This paper presents the second part of the algorithm, detailing a computationally efficient and numerically robust method for online inertial map and trajectory estimation based on the estimates provided by the SLAM filter previously derived. Central to the solution is the formulation of an optimization problem, that of finding the translation and the rotation that best explain the transformation between two sets of landmarks, with known associations, for consecutive time instants. The validation, performance, and consistency assessment of the proposed SLAM algorithm is successfully performed with real data, which was acquired by an instrumented quadrotor.
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