the objective of our system is to detect vehicles from aerial sequences. theses sequences are taken from a camera mounted on UAV which flies over roads and highways. Our approach is to firstly compensate the motion in...
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ISBN:
(纸本)9789898565211
the objective of our system is to detect vehicles from aerial sequences. theses sequences are taken from a camera mounted on UAV which flies over roads and highways. Our approach is to firstly compensate the motion introduced by the dynamic behaviour of the camera. this leads us to a problem of image registration. the moving regions (vehicles) are after that extracted using residual motion. the aim of this paper is to present a combined method for features matching and outliers rejection to increase the accuracy of the registration phase. We use first, the SIFT descriptors and then outliers are rejected using geometric constraints. this leads to a better registration and a minimum of false alarms in the detection phase.
Building management control systems provide occupants with comfortable temperature, humidity, etc. in different environments. Several control strategies have been introduced to controlthe temperature regulation, wher...
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ISBN:
(纸本)9789898565211
Building management control systems provide occupants with comfortable temperature, humidity, etc. in different environments. Several control strategies have been introduced to controlthe temperature regulation, where an operating scheduling is pre-defined. In this context, standard PI control algorithms are adequate for the control of Heating, Ventilation and Air Conditioning (HVAC) systems. Due to the specificity of object dynamic, the uses of standard algorithms for regulation lead to fluctuations in angle actuator position. Achieving of energy saving control in these systems is correlated with minimisation of these actuator fluctuations. A novel nonlinear controller is proposed for high performance parametric variable motion control systems in actuators for Building Temperature Regulation. this control utilizes Lyapunov function to guarantee the convergence of the valve position tracking error from all possible initial conditions. Simulation results and performance comparison confirm that the proposed control scheme offers significantly improved performance in terms of the trajectory tracking ability to time-varying reference input, system control bandwidth, and robustness against external disturbances. the added integrator improves the system's robustness against modelling uncertainties and external disturbance, thus improving steady-state control accuracy.
In order for robots to be integrated into human active spaces and perform useful tasks, they must be capable of discriminating between traversable surfaces and obstacle regions in their surrounding environment. In thi...
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ISBN:
(纸本)9789898565211
In order for robots to be integrated into human active spaces and perform useful tasks, they must be capable of discriminating between traversable surfaces and obstacle regions in their surrounding environment. In this work, a principled semi-supervised (EM) framework is presented for the detection of traversable image regions for use on a low-cost monocular mobile robot. We propose a novel generative model for the occurrence of traversability cues, which are a measure of dissimilarity between safe-window and image superpixel features. Our classification results on both indoor and outdoor images sequences demonstrate its generality and adaptability to multiple environments through the online learning of an exponential mixture model. We show that this appearance-based vision framework is robust and can quickly and accurately estimate the probabilistic traversability of an image using no temporal information. Moreover, the reduction in safe-window size as compared to the state-of-the-art enables a self-guided monocular robot to roam in closer proximity of obstacles.
We consider two applied discrete-time Markov control models: waiting times process in GI D 1 ∞ queues with a controlled service rate and water release control in a simple dam model with independent water inflows. the...
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this paper presents sloshing suppression control of liquid transferred at a desirable-speed. In order to suppress sloshing, a mathematical model consisting of continuous equations and the pressure equation is used and...
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ISBN:
(纸本)9789898565211
this paper presents sloshing suppression control of liquid transferred at a desirable-speed. In order to suppress sloshing, a mathematical model consisting of continuous equations and the pressure equation is used and the sloshing phenomena are analyzed by using the Boundary Element Method (BEM). Further, the BEM model is transformed into the state-variable model. the proposed model can estimate not only first-order mode sloshing but also higher-order mode sloshing and predict the future behavior of liquid level more precisely. Moreover, sloshing is suppressed by using Model Predictive control (MPC).We were able to transfer the container while minimizing sloshing and maintaining a desirable speed.
Industrial systems usually contain uncertain parameters. these uncertainties come from lack of knowledge of physical phenomena or from evaluation difficulties. the stochastic behaviour of these parameters have to be t...
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Counter-propagation Network, combining the type of supervised and unsupervised in the learning process, can overcome the shortcomings of BP Neural Network fall into local minimum, low learning rate and bad convergence...
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In this work is presented the NeoASAS walker including its conceptual design, implementation and validation with a new interface approach integrated. this interface is based on a joystick and it is intended to extract...
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this paper suggests the application of Iterative Feedback Tuning (IFT) as a data-based control technique to parameter tuning of PI controllers dedicated to vertical three-tank systems. the level control in the first t...
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