Aphasia is a language disability that has several subdivisions such as Anomic, Broca, Global, and Wernicke. Some reasons such as dissension in description of aphasia and its symptoms, large number of test items which ...
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Aphasia is a language disability that has several subdivisions such as Anomic, Broca, Global, and Wernicke. Some reasons such as dissension in description of aphasia and its symptoms, large number of test items which are not quite accurate, linguistic ambiguity and uncertainty as well as typical complexities of medical diagnosis cause accurate diagnosis of aphasia to be a particularly difficult and error prone medical task. To address the diagnosis of the four mentioned common types of Aphasia more efficiently, an adaptive Neuro-Fuzzy inference system (ANFIS) is proposed. This structure models the nonlinear relation between aphasia symptoms and resulting test scores as well as the degree of fuzzy belonging of the symptoms to all four major aphasia simultaneously. The proposed method in this paper is compared with a hierarchical fuzzy rule-based structure and a back propagating feed-forward neural network. Our method reaches to a maximum accuracy of 94.6％ in 50 trials while the best result for other methods previously used is 91.6％. This method not only diagnoses the four types of Aphasia accurately, but also it is efficient for other medical diagnostic applications.
This paper presents a simple second-order controller that damps the resonance typical of piezoelectric nanopositioners and delivers good tracking performance. This method employs the Integral Resonant control scheme (...
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ISBN:
(纸本)9781617389870
This paper presents a simple second-order controller that damps the resonance typical of piezoelectric nanopositioners and delivers good tracking performance. This method employs the Integral Resonant control scheme (IRC) for damping the dominant resonant mode of the piezoelectric nanopositioner and uses an integral controller to achieve tracking performance. As disturbance rejection is a main concern in nanopositioning applications, the control scheme is tested for its disturbance rejection performance. It is seen that the control scheme has good disturbance rejection characteristics deeming it suitable for nanopositioning applications. To test the tracking performance, the system is made to track a 20 Hz triangular input at various integral gains. It is shown that improved tracking performance can be achieved at high gains with only a slight degradation in disturbance rejection performance at high frequencies.
The aim of this research is to minimize the energy dissipation of embedded controllers without jeopardizing the Quality of control (QoC). Taking advantage of the Dynamic Voltage Scaling (DVS) technology, this study de...
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The paper presents a model of cerebellum with long-loop force feedback and gains scheduling so as to demonstrate the control of human upright balance. The model consists mostly of two parts, i.e. cerebrum and cerebell...
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The paper presents a model of cerebellum with long-loop force feedback and gains scheduling so as to demonstrate the control of human upright balance. The model consists mostly of two parts, i.e. cerebrum and cerebellum. The cerebellar component of the controller is represented by two sets of gains that provide linear scaling of same-joint and interjoint long-loop stretch responses between ankle, knee and kip. Whereas the cerebral component of the model composes a single set of same-joint liner force feedback gains. The paper, however, proposes that the cerebellum switches control gain sets as a function of sensing human body kinematics state. By means of simulation, the model illustrates that stabilized hybrid long-loop feedback with scheduling of linear gains may afford realistic balance control in the absence of explicit internal dynamics models and suggests that the cerebellum and cerebral cortex may contribute to the balance control via such mechanism.
Transient response of coupling capacitor voltage transformers (CCVT) can result in malfunctions of fast impedance relays such as overreaching, underreaching or direction errors. Detailed model of a practical CCVT is u...
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Transient response of coupling capacitor voltage transformers (CCVT) can result in malfunctions of fast impedance relays such as overreaching, underreaching or direction errors. Detailed model of a practical CCVT is used in this paper for simulation of input source error of the distance relay caused by the transient response of the CCVT. This paper describes an improved phasor estimation technique based on least squares method for estimation of voltage and current phasors in distance relays. The method minimizes the impact of transient oscillations of the CCVT output voltage on operation of distance relay during faults. The algorithm performance is evaluated during various fault conditions. The proposed method provides higher tripping speed for close-in faults in addition to solving the overreaching problem for systems with high source to line impedance ratio (SIR).
A previously proposed approach based on RBF neural networks for detecting anomaly location is extended to estimate the anomaly size. First, a predefined number of threshold values are selected in the range of possible...
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A previously proposed approach based on RBF neural networks for detecting anomaly location is extended to estimate the anomaly size. First, a predefined number of threshold values are selected in the range of possible anomaly sizes. Next, RBF neural networks are used as classifiers to classify the anomaly size as being smaller or larger than each threshold value. The inputs of the classifiers are the data obtained from EIT boundary measurements. The anomaly size can be estimated by properly cascading the classifiers. The estimation precision is adjusted by the number of threshold values.
A new approach for EIT image reconstruction, based on a modified forward solution is proposed. In this approach, the EIT forward problem is solved via finite element method using two types of elements. At the early st...
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A new approach for EIT image reconstruction, based on a modified forward solution is proposed. In this approach, the EIT forward problem is solved via finite element method using two types of elements. At the early stage of the reconstruction, first order elements are used, and as the reconstruction error becomes lower than a predefined value, second order elements are used in the forward solution. The latter stage converges to the precise results in very few iterations. Since the solution speed with first order FEM is considerably higher than second order FEM, the reconstruction speed improves considerably by this approach. Numerical simulations and comparisons with other image reconstruction methods demonstrate the reliability and high solution speed of this approach.
Construction parts consisting of two-layer composite materials made of carbon fiber reinforced plastic (CFRP) laminates and TiAl6V4 still need to be machined, whereby drill holes are frequently manufactured. Special a...
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ISBN:
(纸本)0872638618
Construction parts consisting of two-layer composite materials made of carbon fiber reinforced plastic (CFRP) laminates and TiAl6V4 still need to be machined, whereby drill holes are frequently manufactured. Special attention has to be paid to the machining quality, which implies dimensional accuracy as well as a defect-free peripheral zone. Machining defects often occur as a consequence of excessive mechanical and thermal loads, which are often caused by wrong process conditions or by the wrong choice of machining process itself. With respect to widely used state-of-the-art machine tools providing high performance and equipped with potent control unit, for the comparatively large drill hole, circular milling gains interest as an alternative to the drilling operation (Weinert et al. 2005). Here, the circular milling process is compared to the drilling process focusing on the hole making of 6 mm diameter to two-layer composite material consisting of CFRP (carbon fiber reinforced plastic) laminates and TiAl6V4. The investigations were focused mainly on the influence of hole making process on the bore hole quality. The hole diameter, the surface roughness and the roundness are compared and evaluated between circular milling process and drilling one, and also the two processes followed by reaming. Moreover, the thrust forces during the two processes were measured and the transition between the thrust force and tool wear are considered.
In this paper, the sensorless control of the interior permanent magnet synchronous motors using the sliding mode and the binary observers are compared. Also, the structure of the above observers only uses the voltage ...
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In this paper, the sensorless control of the interior permanent magnet synchronous motors using the sliding mode and the binary observers are compared. Also, the structure of the above observers only uses the voltage equation. Since the parameters of the dynamic equation such as machine inertia or viscosity friction coefficient are not well known and these values can be easily changed during normal operation, there are many restrictions in the actual implementation. In order to estimate the rotor speed and position, the Lypunov function is used. The performances of each observer are confirmed by the experiments.
In this paper,the sensorless control of the interior permanent magnet synchronous motors using the sliding mode and the binary observers are ***,the structure of the above observers only uses the voltage *** the param...
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In this paper,the sensorless control of the interior permanent magnet synchronous motors using the sliding mode and the binary observers are ***,the structure of the above observers only uses the voltage *** the parameters of the dynamic equation such as machine inertia or viscosity friction coefficient are not well known and these values can be easily changed during normal operation,there are many restrictions in the actual *** order to estimate the rotor speed and position,the Lypunov function is *** performances of each observer are confirmed by the experiments
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