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The current requirements for personalized customization drive the manufacturing industry to make adjustments constantly, which means a longitudinal unobstructed and transverse reconfigurable system is crucial for enterprise to remain competitive. However, the leading time for launching a new system or reconfiguring an exist system is cost-intensive and time-consuming. This paper proposed a new structure...
This paper considers the non-fragile sampled-data (SD) control problem of semilinear parabolic partial differential equation (PDE) systems. By using a Lyapunov functional (LF), a non-fragile SD controller is proposed to stabilize exponentially the PDE system. The stabilization condition is presented by linear matrix inequalities (LMIs). Finally, simulation results are provided to control the the FitzHugh-Nagumo...
In this work, we jointly address the problem of text detection and recognition in natural scene images based on convolutional recurrent neural networks. We propose a unified network that simultaneously localizes and recognizes text with a single forward pass, avoiding intermediate processes, such as image cropping, feature re-calculation, word separation, and character grouping. In contrast to existing...
The Integrated Modular Avionics (IMA) platform provides partitioning mechanism to allow multiple applications sharing its resources. And in the network domain, Avionics Full Duplex Switched Ethernet (AFDX) introduces the Virtual Link(VL) technology to provide dedicated bandwidth for each package. The IMA platform and AFDX can provide functional isolation and independence separately, while independence...
Measuring PDIV with 50 Hz sinusoidal waveforms to find what happens using wide bandgap devices having slew rates of x 100 V/ns can give misleading results. Since PDIV tests using wide bandgap devices offers contradicting results, a probabilistic model is proposed to figure the probability density function of PDIV results. This is an intermediate step developing a statistical procedure enabling a more...
To ensure the reliability of insulation systems of Type-II inverter-fed motors driven by power electronics, endurance tests should be performed at sinusoidal or repetitive impulsive voltage higher than the partial discharge inception voltage (PDIV) on insulation systems/models according to the standards released by the International Electrotechnical Commission (IEC). When repetitive impulsive voltages...
Real-time Compressive Tracking (CT) uses the compression sensing theory to provide a new research direction for the target tracking field. The algorithm is simple, efficient and real-time. But there are still shortcomings: tracking results prone to drift phenomenon, cannot adapt to tracking the target scale changes. In order to solve these problems, this paper proposes to use the Kalman filter to...
The modal truncation problem of non-classically damped systems is constantly encountered in the dynamic analysis of engineering. The present study is designed to calculate the frequency response functions of the non-classically damping systems accurately on account of the Neumann expansion theory and the frequency shifting technique. Considering the first and the second term influence of the Neumann...
Cucumber downy mildew is a kind of disease which spreads very fast and isdangerous, in order to prevent the disease, peoplealways spray plenty of pesticides indiscriminately. Accurate assessment of the level of cucumber downy mildew is very important to the disease prevention and control. In a cucumber growing season, this paper collected the typical cucumber downy mildew leaf samples, and developed...
This paper describes an approach for tracking the objective planetary landing point based on reference points matching and homography. Once the initial objective landing point is specified, the proposed method will predict the objective landing points in descending image sequence during planetary landing. Only the acquired images of the terrain are utilized as input information. The landing point...
A surface electromyography (sEMG) signal typically results from the electrical activities of many muscle fibers, and can be utilized as a signal source in prostheses due to its abundance of movement information. This paper proposes an sEMG—detection circuit for the acquisition of the controlling signal in EMG-Bridge (EMGB) systems. The detection circuit mainly comprises a preamplifier, a driven right...
An effective reentry attitude control scheme is proposed based on aerodynamic surfaces and RCS for hypersonic vehicle (HSV) attitude control during the initial reentry phase. First, the attitude control model is divided into the outer-loop and inner-loop subsystems. Due to strong robustness and outstanding control performance, the predictive sliding mode control (PSMC) is utilized for the controller...
The voluntary participation of the paralyzed patients is crucial for the functional electrical stimulation (FES) therapy. In this study, we developed a strategy called “EMG Bridge” (EMGB) for volitional control of multiple movements using FES technique. The surface electromyography (sEMG) signals of the agonist muscles were transformed to stimulation pulses with various pulse width and frequency to...
The normalized least mean square (NLMS) algorithm and the frequency-domain block least mean square (FBLMS) algorithm have better cancellation performance and lower computational complexity during the clutter suppression in the bistatic noise frequency modulated continuous waveform (FMCW) radar system. However, in the real applications, in order to achieve high clutter cancellation and fast convergence...
One-shot learning is a challenging problem where the aim is to recognize a class identified by a single training image. Given the practical importance of one-shot learning, it seems surprising that the rich information present in the class tag itself has largely been ignored. Most existing approaches restrict the use of the class tag to finding similar classes and transferring classifiers or metrics...
Auxiliary Power Unit (APU) is an essential component of civil aircraft. In order to meet demands for aircraft APU maintenance, failure rate of aircraft APU should be predicted. Since aircraft APU is a repairable system, its performance degradation can be considered as a Generalized Renewal Process (GRP). Therefore, aircraft APU failure rate prediction can be implemented by utilizing Weibull-based...
Human pose estimation and semantic part segmentation are two complementary tasks in computer vision. In this paper, we propose to solve the two tasks jointly for natural multi-person images, in which the estimated pose provides object-level shape prior to regularize part segments while the part-level segments constrain the variation of pose locations. Specifically, we first train two fully convolutional...
One of the most intriguing features of the Visual Question Answering (VQA) challenge is the unpredictability of the questions. Extracting the information required to answer them demands a variety of image operations from detection and counting, to segmentation and reconstruction. To train a method to perform even one of these operations accurately from {image, question, answer} tuples would be challenging,...
With rapid improvement in information and communication technologies, industrial automation systems are under the revolution. Legacy industrial automation systems lack flexibility and interoperability due to multi-layered architecture. From industrial cyber-physical system point of view, a new system architecture is needed to allow vertical and horizontal integration between all devices and systems...
This paper presents an approach to enabling ontology-based web service integration for flexible manufacturing systems based on industry 4.0 demonstration production line. The mass personalized customization requires increased agility and flexibility in manufacturing systems to adapt incessant changes in manufacturing environments and requirements. The fundamental for this method lies in the incorporation...
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