Individual neurons can exhibit irregular behavior, whereas ensembles of different neurons might synchronize in order to process biological information or to produce regular, rhythmical activity. Therefore, the study o...
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Individual neurons can exhibit irregular behavior, whereas ensembles of different neurons might synchronize in order to process biological information or to produce regular, rhythmical activity. Therefore, the study of synchronization processes for populations of interacting neurons is basic to the understanding of some key issues in neuroscience. In the present study, we first investigated dynamic behaviors of FitzHugh-Nagumo (FHN) neurons stimulated by external electrical signal. Second, we formulated a new method for synchronization of two uncoupled FHN neurons. By using a Lyapunov function, a nonlinear control law is designed that guarantees that two neurons are synchronized even when the external electrical stimulations applied to each neuron are different. Finally, in order to verify the effectiveness of the proposed method, numerical simulations were performed, the results of which are provided herein.
Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique that recently has been used to measure changes in cerebral blood oxygenation associated with brain activity. To date, there is no standard met...
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Near-infrared spectroscopy (NIRS) is a non-invasive neuroimaging technique that recently has been used to measure changes in cerebral blood oxygenation associated with brain activity. To date, there is no standard method for analyzing NIRS data, especially for real-time brain imaging applications. In this work, a novel real-time NIRS signal analysis framework based on the general linear model (GLM) and the Kalman estimator was devised. A set of simulated data was processed using the proposed framework. The results so obtained suggested that the method can effectively locate brain activation areas in real-time, thereby demonstrating its potential for real-time NIRS-based brain imaging applications.
This paper represents a novel microfluidic device for simple refractive index (RI) measurement of fluid sample with sub microliter volume. The defocusing imaging technique using a three pinhole aperture plate is imple...
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This paper represents a novel microfluidic device for simple refractive index (RI) measurement of fluid sample with sub microliter volume. The defocusing imaging technique using a three pinhole aperture plate is implemented for the refractive index measurement. For the self-calibration, the microfluidic device has a measurement region and a self-calibration region, and both regions are designed to be captured on single image frame. Thus, the refractive index of a sample fluid is automatically calculated with the self-calibration. For the demonstration of the proposed device, standard refractive index liquids with the refractive indices of 1.300, 1.400, 1.500, 1.600 and 1.700 are used. The measured refractive index has the maximum deviation of 0.0036 (0.24%) from the standard refractive index values.
Wu and coworkers introduced an active basis model (ABM) for detecting generic objects in static images. A grey-value local power spectrum was utilized to find a common template and deformable templates from a set of t...
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Wu and coworkers introduced an active basis model (ABM) for detecting generic objects in static images. A grey-value local power spectrum was utilized to find a common template and deformable templates from a set of training images and to detect an object in unknown images by template matching. In this paper, we propose a color-based active basis model (color-based ABM for short) which includes color information. We adapt the framework of Wu et al. into the learning, detection, and classification of the color-based ABM. However, in order to improve the performance in object recognition, we modify the framework of Wu et al. by using different color-based features in both supervised learning and template matching algorithms. In addition, significant improvements are reported with regard to the proposed color-based ABM for object recognition.
A motion planning algorithm for a nonholonomic vehicle in triangular regions is investigated. The regions are the result of splitting a larger and complex workspace, and are classified into three classes, that are, em...
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A motion planning algorithm for a nonholonomic vehicle in triangular regions is investigated. The regions are the result of splitting a larger and complex workspace, and are classified into three classes, that are, empty regions, obstacle-inside regions, and goal regions. The vehicle has to achieve a goal configuration from any initial configuration in the workspace. A set of procedures to generate velocity vector fields by utilizing vector potential functions is proposed. The vector fields are categorized as those generated by the edges of regions, obstacles, and goal points. To deal with some constraints, i.e., maximum velocities, a set of parameter-scaling rules is provided. A state-feedback controller for a unicycle vehicle is used to show that the generated motion plan can be tracked by the vehicle. Simulation results showing the motion planning from different initial configuration are presented.
In this paper, an active control scheme that suppresses transverse vibrations and regulates axial speed so as to track a desired profile for an axially moving web system is investigated. The spatially varying tension ...
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In this paper, an active control scheme that suppresses transverse vibrations and regulates axial speed so as to track a desired profile for an axially moving web system is investigated. The spatially varying tension and the time-varying axial speed of the axially moving web are considered. The system dynamics includes the equations of motion of the moving web and the velocity dynamics of the drive rollers at boundaries of the web span. The two roller motors provide control torque inputs for the control system. The principle of the vibration control strategy is the regulation of the axial tension by a designed profile according to which the vibration energy of the moving web decays. The designed profile for the axial tension is generated by using vibration analysis based on the total mechanical energy of the axially moving web system. Lyapunov method is employed to derive the model-based torque control laws ensuring that the transverse vibration and the speed tracking error converge to zero exponentially. The effectiveness of the proposed control scheme is demonstrated via numerical simulations.
Economic Load Dispatch (ELD) problems are nonlinear constrained problems which occupy an important role in the economic operation of power system. Recently, as an alternative to the conventional mathematical approache...
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Economic Load Dispatch (ELD) problems are nonlinear constrained problems which occupy an important role in the economic operation of power system. Recently, as an alternative to the conventional mathematical approaches, evolutionary algorithms have been given much attention by researchers due to their ability to find good solutions in ELD problems. In this paper, a biogeography based-optimization approach is validated. Biogeography is the study of the geographical distribution of biological organisms. Furthermore, a new approach of the biogeography based-optimization methodology combined with predator-prey approach were proposed and validated for two test systems consisting of 15 and 20 generation units (thermal generators), respectively. Simulation results are compared with those of other studies reported in the literature.
This paper presents a configuration control of a forklift vehicle using a camera-based vision system with limited angle-of-view (AOV). The configuration (i.e., position and orientation) of the vehicle is transformed t...
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This paper presents a configuration control of a forklift vehicle using a camera-based vision system with limited angle-of-view (AOV). The configuration (i.e., position and orientation) of the vehicle is transformed to navigation variables, which are the distance left to the goal position, the angle made by the x-axis of the target coordinate and the vehicle-to-target (v-to-t) vector, and the angle made by the x-axis of the body coordinate of the vehicle and the v-to-t vector. The kinematic equations of the forklift are derived in the navigation variables and the constraint of the motion due to the limited AOV of the camera is formulated. The control law is derived using quadratic and barrier functions as a Lyapunov function candidate. The asymptotical stability of the origin of the navigation variables is assured using the Lyapunov method. From the property of the barrier function, it can be guaranteed that the motion of the vehicle does not violate the constraint due to the limited AOV of the camera. The effectiveness of the proposed method is verified through numerical simulations.
Using asymmetrical non-adiabatic tapers we excite 3 modes in an etched-core-fiber-Bragg-grating sensor and show that the refractive index, temperature and strain can be measured simultaneously in bio-chemical sensing ...
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Using asymmetrical non-adiabatic tapers we excite 3 modes in an etched-core-fiber-Bragg-grating sensor and show that the refractive index, temperature and strain can be measured simultaneously in bio-chemical sensing experiments.
This paper presents a mechanical cell lysis microfluidic chip with an ultra-sharp nano-blade array fabricated by simple and cost effective crystalline wet etching of (110) silicon. The ultra-sharp nano-blade array is ...
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ISBN:
(纸本)9781424457618;9781424457649
This paper presents a mechanical cell lysis microfluidic chip with an ultra-sharp nano-blade array fabricated by simple and cost effective crystalline wet etching of (110) silicon. The ultra-sharp nano-blade array is simply formed by the undercutting during the crystalline wet etching process. The sharpness of the silicon nano-blade is less than 10 nm after the undercutting. EL4 mouse T-lymphoma cells are used for the demonstration of the mechanical lysis chip, and the cells are easily disrupted by the silicon nano-blade array without helping of additional reagents or electrical sources. The time-resolved observation of the mechanical cell lysis shows that the developed silicon nano-blade array is enough to easily disrupt the cell membrane even at very low flow rate of 0.7 ¿¿/hr.
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