In this paper, a remote filter design problem for a discrete-time singular plant under a networked control system is investigated. For a remote system, it is natural that transmitted signals have some delayed phenomenon and some data losing due to heavy loaded networks or under unreliable communication envelopment. In this case, a Bernoulli random distributed sequence is introduced to model the possible data losing, as well as the working but delayed transmitted signals are limited in some time interval. Applying a finite sum inequality approach, a set of delay dependent sufficient conditions for the admissibility analysis and the filter design problems are derived under an LMI framework. In order to verify and show the efficiency of the proposed method for such problem formulation, a numerical example is presented at the end of this paper.
In this paper, we propose a three dimensional vision conversion based on cloud computing. Three dimensional video and image system become an important technology in consumer electronics field in latest decade. There are numerous three dimensional video and image formats for different 3D products. However, the three dimensional vision contents that are manufactured by different standards are difficult to exchange without complete three dimensional vision converters. Therefore, how to perform the three dimensional vision format converters to interchange different kinds of three dimension vision becomes an important research topic in academic and industry. Nevertheless, three dimensional vision processor and converter have high computing complexity. It is hard to perform whole three dimensional vision converter according to all kinds of international standards in client machine and portable device. At the same time, three dimensional visions often require a large number of storage spaces. It is also very difficult to record all kinds of three dimensional visions in local device. The above problem should be solved adopting different concepts. Therefore, we proposed cloud computing concept that establishes a complete three dimensional vision converter in cloud computing server and storage space in three dimensional vision clouds. The customer access the three dimensional vision rely on three dimensional vision cloud. The approach methodology solves the problems of computing complexity and storage space of tradition three dimensional vision converters and storage. The presented intact framework of three dimensional vision converters also provides a solution of related research in this paper.
In this paper, an embedded facial recognition system whose platform consists of pcDuono-V2 board with ARM-processor inside and a Linux-kernel-based operating system, Ubuntu, is implemented. A camera is set up on the platform to take human face images. A facial recognition program consisting of AdaBoost algorithm, Haar-like features, integral image method, and cascade classifiers is utilized to recognize images. The AdaBoost algorithm is a modified Boosting algorithm, which is a machine learning algorithm for training cascade stronger classifiers based on Haar-like features, where Haar-like features are the foundation of the recognition. An integral image method is used to speed up the calculation of corresponding rectangle feature values for Haar-like features. The whole facial recognition comprises facial training procedures and recognition procedures. In facial training procedures, sufficient amounts of positive and negative picture samples are necessary for getting Haar-like features to the recognition system. AdaBoost algorithm is then used to the system for training cascade stronger classifiers which are the detection tools in recognition procedures. While in facial recognition procedures, after getting the Haar-like features for the target images or pictures, cascade stronger classifiers work to detect and recognize. According to the experimental results, the resultant embedded system can recognize the experimental subjects in one second for every our considered situations, which assures the real-time performance.
In this paper, an H∞ state feedback control problem for a discrete–time singular plant with device delay is considered. The device delay often appears in computer based control systems, networked circuits systems, communication systems, process control systems and so on. And the state feedback control law is supposed to include possible time varying transmission delay within an interval. In this case, we derive a set of LMI-based sufficient conditions for the analysis and the delayed controller synthesis problems, respectively, via a finite sum inequality approach. In order to show the efficiency of the proposed method, a numerical example is presented at the end of this paper.
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