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This paper investigates the H∞ control problem for a class of wireless networked control system (NCS). Both time delays and packet losses are considered simultaneously in the wireless communication networks. Under some assumptions, a switched system model with time-varying delays is established to describe the closed-loop system, by which the effect of packet losses is dealt differently from time...
The entorhino-hippocampal neural circuits of the mammalian brains are able to internally generate efficient spatial representations of large-scale environments. Hippocampal principal cells in mammalian brains form sparse codes of the positions in large environments. The underlying computational mechanisms of the formation of spatial memory in large-scale environments are still not well understood...
No single retargeting approach performs well on all images and all target sizes; therefore, hybrid algorithms are often considered as promising alternatives. However, most hybrid schemes are time consuming. In this paper, we propose a fast hybrid framework in which the Fast Content-Aware Image Distance (FCAID) is used to connect fast seam carving with neighboring probability constraints (FSc_Neip)...
In our prior work [1], a concept of QoT was proposed to represent the confidence of the decisions and commands generated by the teleoperator. It reflected the operation status of the teleoperator. The investigation proved that the QoT varied over different times of a day due to the fatigue level. However, it did not consider the variation of the QoT during the same time period. In fact, the QoT of...
EEG-based emotion recognition has received increasing attention in advanced human-computer interaction, where the choice of independent variables to discriminate emotions from the frequency range of EEG and electrode locations is not very self-evident, thus this work tried to find the correlation between the emotional states and both EEG frequency ranges and EEG channels. 12 healthy volunteers were...
In this letter, a WR-1.0 rectangular waveguide band-pass filter is designed, which is fabricated using the deep reactive ion etching (DRIE) micromachining on silicon wafers. The filter consists of four inductive irises. Using Ansoft HFSS, the center frequency of the filter is at 805GHz and the insertion loss is about 1.5 dB within the 21GHz bandwidth. Effects of the DRIE process brought to the filter...
WR-1.0 rectangular waveguide cavity band-pass filter based on micromaching technique is designed in this letter. The filter consists of two resonant cavities. A transmission zero is implemented by means of broaden stubs. The stub is broaden to the width of the resonant cavity, which simplify the fabrication. The proposed filter is fabricated using the deep reactive ion etching (DRIE) micromachining...
A compact DC-block broadband filter has been designed and fabricated with a simple and efficient evolutionary design process in this paper. The DC-block filter is based on parallel-coupled three-line structure which can realize a stronger coupling coefficient to reduce the stringent requirements of the line width and spacing comparing to the traditional double-line structure. The simulated fractional...
A novel stroke-based method to localize text in unconstrained natural scene images is proposed. Firstly, in order to improve the edge detection in tough situations where the texts are partially occluded or noisy, we use stroke width histogram as guidance to generate a series of superpixels. Secondly, we present a novel way of using distance transform and sobel operator to extract character skeleton...
Nowadays, studying knowledge management behaviours has been a hot topic in the field of research on teachers' professional development. KM has always been viewed as an important mission of communities of practice. This paper focuses on elementary and secondary school teachers in "Beijing Dong cheng District's Teachers' Communities of Practice Program (Phase II)", and conducted social network...
According to the modern control and optimal estimation theory, a mathematical model of the pilot attention resource allocation is developed This model analyzes the inherent characteristics of pilot input and output links in the pilot-vehicle closed-loop system, and the optimal control model of pilot is established by simplification and mathematical modeling. The control task chosen in this paper concerns...
when moving under unknown environment, the intelligent robot must have the capability of recognizing object. In this article, we focused on studying two aspects during object recognition, one was extraction of target shape feature, and the other was recognition algorithm. On studying feature extraction, we proposed the apothem sequence that is shape descriptor based on object border and took it as...
To improve the identification rate of the information on aircraft's HUD interface, GL Studio is adopted to quickly build the virtual instrument interface of HUD, which is driven by flight simulation equations. The virtual instrument interface of HUD is imported into three-dimensional vision system for the ergonomics evaluation of character type, font type and color of the displayed information. The...
In order to evaluate the humanity design of instrument interfaces of different aircraft types, a rapid model construction technology is presented for this ergonomic experiment. To achieve the reusability, components are separated into entities that are classified by their behaviors. GL Studio is a good tool for creating a primary flight display (PFD) Based on rapid construction. In addition, a dynamic...
The present work evaluated the board level reliability of a kind of wafer-level chip-scale packaging (WLCSP). Drop impact tests were conducted to evaluate the lifetime and failure mode of the components before and after thermal cycles from −55 to 125 °C (50, 100, 150 temperature cycles) and high temperature (125 °C) storage (50 h, 100 h, 150 h). Under the peak acceleration of 1500 g and pulse duration...
In this paper, a Fourier Neural Network (FNN), which specializes in regression and classification tasks is introduced, together with its weights initializing and training algorithm. Experiments conducted on various datasets show that the proposed model converges much faster than Multilayer Perceptron (MLP) and has equally good predicting accuracy and generalization ability.
This paper first introduces modeling theory of GM (1,1) grey equidimensional filling vacancies, and establishes GM (1,1) grey forecasting model of equidimensional filling vacancies by using power demand load of Shan Dong Province from 2004 to 2011, then forecasts power load demand of Shan Dong Province in 2012 and 2013 for two years. When compared with the actual electricity load, that grey forecasting...
In this paper, we propose a novel method for cross-view action recognition via a continuous virtual path which connects the source view and the target view. Each point on this virtual path is a virtual view which is obtained by a linear transformation of the action descriptor. All the virtual views are concatenated into an infinite-dimensional feature to characterize continuous changes from the source...
In order to improve the quality of the remotely generated microwave signals, we propose a novel tunable dispersion compensation approach with only a tunable laser and a nonlinearly chirped fiber Bragg grating, whose slope of the relative time delay curve is different with the variation of wavelength. The structure of the desired nonlinearly chirped FBG is designed to verify the feasibility of achieving...
Ground-based cloud classification plays an essential role in meteorological research and has received great concern in recent years. In this paper, a novel algorithm named multiple random projections (MRP) is proposed for ground-based cloud classification. The proposed algorithm uses an ensemble approach of MRP to obtain an optimized textons. Based on the textons, discriminative features can be obtained...
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