Palm vein recognition is a developing biometric identification *** can be used in physical security and information security for selective control of access to a place or *** to the palm vein recognition,vein enhancem...
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Palm vein recognition is a developing biometric identification *** can be used in physical security and information security for selective control of access to a place or *** to the palm vein recognition,vein enhancement is generally required for a better *** this paper,we propose a vein enhancement method combining Karhunen-Loeve(KL) transform and hue-preserving color image enhancement *** results show that the proposed method is robust to shadow affect,can give better visualization results,and can significantly improve the contrast and contour details of image(the contrast ratio increases by 2.3%,edge intensity increases by 8.8%,and definition increases by 66.9%) comparing to the traditional enhancement methods.
This paper presents the dynamic behaviour of a nonlinear single link inverted pendulum-on-cart system based on Lagrange Equation. The nonlinear model linearization was presented based on Taylor series approximation. L...
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This paper presents the dynamic behaviour of a nonlinear single link inverted pendulum-on-cart system based on Lagrange Equation. The nonlinear model linearization was presented based on Taylor series approximation. LQR, double-PID and simple pole placement control techniques were proposed for upright stabilization and tracking controls of the system. Simulations results for the various control techniques subjected to a unity magnitude pulse input torque with and without disturbance were compared. The performances of the proposed controllers were investigated based on response time specifications and level of disturbance rejection. Thus, the performance of LQR is more reliable and satisfactory. Finally, future work suggestions were made.
This paper presents an application of Second Order Sliding Mode controller (SOSMC) to regulate the vehicle longitudinal slip using Magnetorheological Fluid (MRF) brake as an actuator for the vehicle braking system. A ...
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This paper presents an application of Second Order Sliding Mode controller (SOSMC) to regulate the vehicle longitudinal slip using Magnetorheological Fluid (MRF) brake as an actuator for the vehicle braking system. A quarter vehicle with a simple Bingham model is adopted as the control plant and the MRF brake system model respectively. Numerical assessments are conducted for various types of the road surface with the main objective to regulate the longitudinal slip at its optimum friction value. Since the controlsystem is regarded as a highly nonlinear environment, the utilization of SOSMC is considered as decent control solution to cope with the system uncertainties and at the same time reduced the system chattering effect caused by conventional sliding mode control. Results show that the targeted optimum slip reference can be achieved with a smooth input signal compared to conventional SMC.
The main objective of this research was to investigate the association between electroencephalogram (EEG) and memory recall in human participant. A sample of 34 healthy participants was recruited and exposed to 10 min...
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The main objective of this research was to investigate the association between electroencephalogram (EEG) and memory recall in human participant. A sample of 34 healthy participants was recruited and exposed to 10 minutes animated learning contents. After 30 minutes of the learning session, they performed a memory recall task; the correct and incorrect responses in recall task were recorded for computing the memory performance. EEG coherence was computed for six frequency band (delta, theta, alpha, beta, high-beta, and gamma) and the correlation was checked with the memory recall. It was found that the EEG delta coherence correlated (r=0.34-0.37; p-value
Q-learning is a kind of model-free reinforcement learning algorithm which is effective in Robot's navigation applications. Unfortunately, Lego Mindstorms EV3 robot's file writing speed is sometimes too slow to...
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Q-learning is a kind of model-free reinforcement learning algorithm which is effective in Robot's navigation applications. Unfortunately, Lego Mindstorms EV3 robot's file writing speed is sometimes too slow to implement Q-learning algorithm. In this paper, an approach is proposed to simplify Q-learning discrete value table into a new version that stores only one optimum action and its Q-value instead of storing every action's Q-value in each state. Exploration and contrast experiments show that our algorithm learns much faster than the original Q-learning without losing the ability to find a better policy in navigation task.
In this paper a search for the trajectory that minimizes the cost function is studied. In robotic studies the cost function can be defined as a function of time, tracking error or applied torque. In this study the cos...
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In this paper a search for the trajectory that minimizes the cost function is studied. In robotic studies the cost function can be defined as a function of time, tracking error or applied torque. In this study the cost function is selected as a function of applied torque, so the main aim is minimizing the energy consumption. For this purpose a simple robot manipulator is chosen, and its kinematic and dynamic models are derived by Denavit-Hartenberg convention and Euler-Lagrange method. Then two different trajectory polynomials are described, one is solved from boundary conditions without optimization and one is solved by optimization and the same boundary conditions. These two different trajectory polynomials and their cost functions values are compared. The effect and efficiency of optimization are examined.
Proportional Integral Derivative (PID) controller is a conventional controller, which is widely used in industrial controlsystem. In this paper, a PID controlsystem is used for path tracking of an autonomous surface...
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Proportional Integral Derivative (PID) controller is a conventional controller, which is widely used in industrial controlsystem. In this paper, a PID controlsystem is used for path tracking of an autonomous surface vehicle (ASV). The PID controller is selected because it is easy to implement as an embedded controller and practically easy to understand compared to other control methods. However, to improve the response of the PID controller, a fuzzy inference system (FIS) is used to tune the controller parameters based on a set of control rules. Three parallel fuzzy self-adaptive PID controllers is used to track the desired position and angular orientation of the ASV along the surge, sway and yaw directions. Through kinematic modeling of the ASV, the desired model for tracking the desired path could be obtained. Simulation results show that the Fuzzy-PID controller performs better compared to the ordinary PID controller in term of improving settling time and reducing overshoot of the control signal.
This paper addresses an initial study of a model-free PID tuning based on simultaneous perturbation stochastic approximation (SPSA) for liquid slosh control. The SPSA method is used to optimize the PID parameters such...
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This paper addresses an initial study of a model-free PID tuning based on simultaneous perturbation stochastic approximation (SPSA) for liquid slosh control. The SPSA method is used to optimize the PID parameters such that the liquid slosh is minimized. In order to validate our model-free design, a liquid slosh model is considered to represent the lateral slosh motion. The simulation results demonstrate that the proposed model-free method has a good potential in reducing the liquid slosh without explicitly modeling the liquid slosh behavior.
Reversible logic is one of the emerging computational methodologies which assures zero power dissipation through theoretical laws of thermodynamics. It has received significant interest in application on quantum compu...
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Reversible logic is one of the emerging computational methodologies which assures zero power dissipation through theoretical laws of thermodynamics. It has received significant interest in application on quantum computing, nanotechnologies and low power computing devices. In this work, we present a reversible logic implementation for Binary Coded Decimal (BCD) adder which is designed to obtain lowest quantum cost value. Other parameters such as ancilla input, garbage output and delay are kept at minimal. Experiment result shows that the proposed work outperforms other designs in terms of quantum cost. Considering for a 1 digit BCD adder, it has a 4% improvement in terms of quantum cost compared to the current best existing ones. The improvement range increases as the BCD digit becomes larger.
This article presents a novel approach to modelling of the human leg with the use of linear switched systems. Second order differential equations forming a two-segments leg model moving in a vertical plane are shown. ...
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ISBN:
(纸本)9789897581373
This article presents a novel approach to modelling of the human leg with the use of linear switched systems. Second order differential equations forming a two-segments leg model moving in a vertical plane are shown. State space linear equations describing given model are derived. A linear switched system for such model is presented, where the switching function is modelled as state-dependent. Based on this approach a linear system is presented, which is composed of four subsystems between which switching occurs depending on two state variables. These variables represent angular displacements. As a consequence, a state space division is shown together with a linear system describing human leg in this setting. Finally, a set of simulations presents differences between standard linear modelling approach and a switched linear system approach.
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