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With the growth of cloud computing and other high-bitrate disaster recovery center (DRC) support service, DRC networks play an important role in the future networks. But the nature or man-made disaster is the main threaten of survivability. In this paper, we focus on the protection of DRC node based on contentconnectivity against disaster in disaster recovery center networks. An integer linear programming...
This paper presents aerodynamic analysis of an unmanned small-scaled gyroplane with a rotor having cyclic pitch system. A comprehensive nonlinear model is derived for it which involves force and moment generation mechanism for the flying vehicle. The nonlinear model is linearized with approximations and deduced on a prescribed flight condition. Our gyroplane dynamic modal response is further reconfigured...
We address the problem of human parsing using part-based models. In particular, we consider part-based models that exploit rich pairwise relationship between parts, e.g. the color symmetry between left/right limbs. This poses a computational challenge since the state space of each part is very large, and algorithmic tricks (e.g. the distance transform) cannot be applied to handle these types of pairwise...
Music auto-tagging refers to automatically assigning semantic labels (tags) such as genre, mood and instrument to music so as to facilitate text-based music retrieval. Although significant progress has been made in recent years, relatively little research has focused on semantic labels that are time-varying within a track. Existing approaches and datasets usually assume that different fragments of...
In this paper we introduce a control policy which we refer to as the iterated approximate value function policy. The generation of this policy requires two stages, the first one carried out off-line, and the second stage carried out on-line. In the first stage we simultaneously compute a trajectory of moments of the state and action and a sequence of approximate value functions optimized to that trajectory...
Particle swarm optimization (PSO) has been proposed as an alternative to traditional evolutionary algorithms. In this work, we present a new PSO approach to control the trade-off between exploitation and exploration in the search process for solving multimodal functions. Our approach focuses on two search strategies for multimodal functions. One is a two-swarm cooperative strategy that controls search...
In this paper we develop an algorithm for action recognition and localization in videos. The algorithm uses a figure-centric visual word representation. Different from previous approaches it does not require reliable human detection and tracking as input. Instead, the person location is treated as a latent variable that is inferred simultaneously with action recognition. A spatial model for an action...
A vector triangle method for the measurement of the parameters of inductors, capacitors and resistors is described. The method can measure the values of the impedance, quality factor (Q factor) or dissipation factor (D factor) and is independent of the phase measurements, as it only involves the effective values of three voltages. The unknown impedance is connected in series with a known standard...
The current regulation based on the internal model control is applied to vector control of PMSM. It avoids the adjustment of two PI-parameters; moreover the IMC structure improves the characteristic of the current loop. Generally, the flux of PMSM is changing with the load current (torque). Simulation results under flux saturation considered and not considered show that the current internal model...
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