The paper deals with the LQG controller design optimizing the amount of power produced by two bladed horizontal variable speed wind turbines. The proposed controller ensures not only an optimal operation of turbines b...
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This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Orga...
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Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-te...
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Parkinson's disease is a neurodegenerative disorder and is associated with motor symptoms, including tremor. The DBS (Deep Brain Stimulation) involves electrode implantation into subcortical structures for long-term stimulation at frequencies greater than 100Hz. The mechanism by which chronic, electrical Deep Brain Stimulation with high frequency, suppresses tremor in Parkinson's disease is unknown, but might involve a gradual change in network properties controlling the generation of tremor. First, we performed linear and nonlinear analysis of the tremor signals to determine a set of parameters and rules for recognizing the behavior of the investigated patient and to characterize the typical responses for several forms of DBS. Second, we found patterns for homogeneous group for data reduction. We used Data Mining and Knowledge discovery techniques to reduce the number of data. Then, we found "clusters" the most well-known used and commonly partitioning methods used: K-means and K-medoids. To support such predictions, we develop a model of the tremor, to perform tests determining the DBS reducing the tremor or inducing tolerance and lesion if the stimulation is chronic.
A water level control system for a nuclear steam generator (SG) is proposed. A method to improve the performance of nuclear steam generator in nuclear power station is introduced. Combination of genetic algorithm (GA)...
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This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Orga...
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ISBN:
(纸本)9781457721366
This study is an attempt to take advantage of a cerebellar model to control a biomimetic arm. The cerebellar controller is a modified MOSAIC model which adaptively controls the arm. We call this model ORF-MOSAIC (Organized by Receptive Fields MOdular Selection And Identification for control). The arm features a musculoskeletal model which is controlled through muscle activations by means of optimization techniques. With as few as 16 modules, we were able to control the arm in a workspace of 30×30 cm. The system was able to adapt to an external field as well as handling new objects despite delays. The discussion section suggests that there are similarities between the microzones in the cerebellum and the modules of this new model.
This paper presents a new technology used for communicating with people with major neuro-locomotor disability by determining gaze direction on a monitor screen. Gaze direction is determined by pupil position through i...
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This paper presents a new technology used for communicating with people with major neuro-locomotor disability by determining gaze direction on a monitor screen. Gaze direction is determined by pupil position through image analysis. The proposed communication technology ensures communication with the patient as follows: (1) on a monitor screen divided in four sections are displayed key words and corresponding ideograms; (2) the patient sees the key words and focuses his/her gaze on a certain section - a pointer allows the control of gaze direction; (3) an infra-red mini/micro video camera placed on the patient's head sends the image of the eye to a computer; (4) the focusing of the patient's gaze on a certain key word i.e. a certain section of the screen is identified by image analysis; (5) voluntary blinking, also objectified by image analysis, shows the selection of a certain word. The patient's wish or need, represented by the key word, is then sent to a server and from there to a caretaker by means of a wire or a wireless transmission system. The absence of a selection within a certain time period causes the displaying of a new set of ideograms. The new technology is useful in the case of the patients who cannot communicate verbally, through signs or in writing and is based on their ability to control eye movement, which is often the case with people with major locomotor disabilities.
The development of electronic technology today has allowed the implementation of complex architectures, which led to the emergence of multicore processors technology. Multicore architectures are built from superscalar...
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The development of electronic technology today has allowed the implementation of complex architectures, which led to the emergence of multicore processors technology. Multicore architectures are built from superscalar and multithreaded processors. Integrating new technologies in embedded applications requires the development of multicore processors that can be integrated into a smaller area like a classic microcontroller. These processors must manage fewer resources and be able to manage multiple tasks simultaneously. In this paper we present a method of modeling, simulation and evaluation of two multithreaded architectures with limited resources, which could be integrated into embedded systems: Interleaved multithreading (IMT) and Blocked multithreading (BMT). Both techniques permit the processing of multiple independent threads, concurrently. In this paper we propose a SimpleScalar Interleaved Multithreading architecture (SS-IMT) and a SimpleScalar Blocked Multithreading architecture (SS-BMT) that are derived from SimpleScalar simulator. We will evaluate the performances of these architectures compared to the performance of standard SimpleScalar architecture.
The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is...
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The extraction and representation of information from volume data are important research avenues in computer-based visualization. The interpretation of three- or multi-dimensional data from various scanning devices is important to medical imaging, diagnosis and treatment, reliability and sustainability analyses in various industrial branches, and, in more general terms, information visualization. In this paper, we present several approaches for the classification and representation of relevant information from volume data sets. The techniques are based on the gradient vector, a property directly derived from the original volume data. We show how this property can be computed and subsequently used for classification through gradient-based one- and multi-dimensional transfer functions, as well as for the enhancement of surface features. The described techniques are illustrated through images generated using our volume rendering framework, from Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) data sets. The resulting images show how gradient-based techniques are suited for improved volume classification and the better extraction of meaningful information.
This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct t...
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ISBN:
(纸本)9781467303408;9781467303422
This paper highlights the differences between a simple sensorless method and an adaptive flux and speed observer for a five-phase induction motor control. The drive is controlled using space vector modulation direct torque control (DTC- SVM) approach. The power measurement used for speed computation is simple, with a minimum processor time and memory, and relatively robust against parameters variation when compared with the adaptive observer based approach. Simulation verification and real time implementation are presented in the paper.
This paper is a step forward by making real time control system design to monitor and control process variables to ensure its smooth operation and desired reliability. Liquid nitrogen level in the condenser is a core ...
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This paper is a step forward by making real time control system design to monitor and control process variables to ensure its smooth operation and desired reliability. Liquid nitrogen level in the condenser is a core component of isotopic separation process to obtain ( 13 C), so is needed a special focus on monitoring and control. The goal of the work is to design a controller for the liquid nitrogen in the condenser of ( 13 C) isotope separation column using NI-PXI 1031 (PCI eXtensions for Instrumentation) from National Instruments. The designed ON-OFF controller is implemented in LabVIEW and are discussed the advantages and disadvantages.
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