This paper presents a method for the estimation of city environmental noise. In this paper is applied the least square method to get the curve that approximates best the samples. Also, it is estimated the environmenta...
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This paper presents a method for the estimation of city environmental noise. In this paper is applied the least square method to get the curve that approximates best the samples. Also, it is estimated the environmental noise model using the System Identification Tool from Matlab. The model structure is chosen, next parameters are estimated and then the model is validated.
In this paper a new Novelty Detection framework is presented, which is created by taking advantage of the Fuzzy Entropy property of Fuzzy Logic systems. The framework’s aim is to create a linguistic-based feedback me...
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In this paper, a novel visual activity recognition algorithm based on the depth contour image and nearest neighbor (NN) classifier is presented, where the depth contour image is acquired by solving algebraic matrix eq...
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In this paper, a novel visual activity recognition algorithm based on the depth contour image and nearest neighbor (NN) classifier is presented, where the depth contour image is acquired by solving algebraic matrix equations in terms of the newly-defined Spatial Motion Accumulative Image (SMAI) and Temporal Motion Accumulative Image (TMAI). More precisely, firstly, SMAI and TMAI are defined based on the binary image sequences of action video segments; secondly, the pixel values in SMAI are re-evaluated by the average traveling time for (virtual) free particles from the corresponding pixel positions to the contour border with the so-called TMAI-determined speed, which leads to the proposed depth contour image; thirdly, the principal component analysis (PCA) is applied to extract the feature vectors from the depth contour image to characterize human actions; finally, the NN classifier is used to recognize the human actions. Experimental results on the open Weizmann activity database confirm the expected recognition performance of the proposed algorithm.
In this chapter, we present in an unified manner the latest developments on inverse optimality problem for continuous piecewise affine (PWA) functions. A particular attention is given to convex liftings as a cornersto...
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We consider the problem of estimating the occupancy level in buildings using indirect information such as CO_2 concentrations and ventilation levels. We assume that one of the rooms is temporarily equipped with a devi...
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ISBN:
(纸本)9781479978878
We consider the problem of estimating the occupancy level in buildings using indirect information such as CO_2 concentrations and ventilation levels. We assume that one of the rooms is temporarily equipped with a device measuring the occupancy. Using the collected data, we identify a gray-box model whose parameters carry information about the structural characteristics of the room. Exploiting the knowledge of the same type of structural characteristics of the other rooms in the building, we adjust the gray-box model to capture the CO_2 dynamics of the other rooms. Then the occupancy estimators are designed using a regularized deconvolution approach which aims at estimating the occupancy pattern that best explains the observed CO_2 dynamics. We evaluate the proposed scheme through extensive simulation using a commercial software tool, IDA-ICE, for dynamic building simulation.
This paper proposes a new fault-tolerant control (FTC) method for discrete-time linear parameter varying (LPV) systems using a reconfiguration block. The basic idea of the method is to achieve the FTC goal without red...
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Psychological studies have often suggested that internal models of the body and its structure are used to process sensory inputs such as proprioception from muscles and joints. Within robotics, there is often a need t...
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Psychological studies have often suggested that internal models of the body and its structure are used to process sensory inputs such as proprioception from muscles and joints. Within robotics, there is often a need to have an internal representation of the body, integrating the multi-modal and multi-dimensional spaces in which it operates. Here we propose a body model in the form of a series of distributed spatial maps, that have not been purpose designed but have emerged through our experiments on developmental stages using a minimalist content-neutral approach. The result is an integrated series of 2D maps storing correlations and contingencies across modalities, which has some resonances with the structures used in the brain for sensorimotor coordination.
We study the formation of short-term interest rates in the interbank lending market where banks are modeled as agents with bounded rationality. We propose a novel model which is based on bilateral contracts between ri...
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In this paper the control of a platoon with a nonlinear controller under event-triggered communication is investigated. The proposed nonlinear controller is a predecessor-following controller for a certain class of no...
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In this paper the control of a platoon with a nonlinear controller under event-triggered communication is investigated. The proposed nonlinear controller is a predecessor-following controller for a certain class of nonlinear functions. For the event-triggered communication scheme every agent decides based on its own state when it transmits its state information. Therefore, a trigger rule is designed that guarantees exponential convergence of the state error while it excludes Zeno behavior. The results are extended to allow heterogeneous trigger rules under certain conditions. Furthermore the case of heterogeneous controllers is analyzed and exponential convergence and exclusion of Zeno behavior is still guaranteed. The theoretical results of the paper are supported by numerical simulations.
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