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Scene Text Recognition is an extremely useful but challenging task and has drawn much attention in recent years. The best of previous model is CNN-LSTM model with attention mechanism, and it can recognize the whole text without character-level segmentation and recognition. Compared with LSTM, Recurrent Highway Networks (RHN), as a popular architecture because of its capability of training deep structure,...
This paper proposes a Doppler estimation algorithm for underwater acoustic communication by constructing the guide function of the objective function based on linear frequency modulation (LFM) signal. The algorithm employs the least square principle and the particle swarm method, to build the objective function and solves the global optimal solution, respectively. Computer simulations show that the...
This paper investigates the finite-time consensus tracking problem for a group of quadrotor aircraft with a leader-follower structure. Based on finite-time algorithms, the finitetime position controller and attitude controller are designed respectively in this note. Based on homogenous system theory and Lyapunov theory, the finite-time stability of the closed-loop systems is given and it is shown...
Partial discharge (PD) in power transformer degrades the dielectric insulation and results in insulation failure and breakdown after a long period. In fact, a partial discharge detector can gather signals from two or more PD sources which increase the difficulty on pattern recognition and insulation state assessment. How to separate multiple PD signals is meaningful to subsequent data processing....
A new training scheme for neural-network-based controller for power electronics systems is proposed. It utilizes the circuit model of the power conversion stage (PCS) in the training process. The training algorithm is a distributed form of evolutionary computation, being able to run on a computer cluster equipped with multiple graphics processing units (GPUs). As a design example, a boost converter...
This paper proposes a thermal network parameter estimation method to find RC parameters of the Cauer network using cooling curve of IGBT module. The solutions are developed by exploiting the relationship between thermal network parameters and time constants of junction temperature response curves. Experimental tests are performed to validate the accuracy of the developed method. Advantages of the...
In this paper, we consider how to achieve optimum throughput when LTE with listen before talk (LBT) shares the unlicensed spectrum with WiFi. Basically, we aim to address two problems: 1) How can WiFi access point (AP) and WiFi station (STN) configure the access parameters to maximize the throughput of their own networks when they have knowledge of the access parameter of LTE? 2) How to jointly tune...
Over the past three decades, plenty of techniques have been developed to solve cell formation problems. However, most researchers focus on forming cells in a single run or non-incrementally without considering implementation, planning and capital investment issues. This paper proposes a mixed-integer goal programming model to deal with incremental cell formation problem, in which human factor is involved...
The virtual networking embedding (VNE) problem is a core issue in network virtualization. This is also a challenging problem as it contains different kinds of constraints, and its complexity becomes even higher in an online VNE problem with thousands of virtual network (VN) requests. In this paper, we proposed an ant colony system based VNE algorithm, called ACS-VNE, for the online VNE problem. The...
The cooperative co-evolution (CC) framework is one of the most efficient methods to solve large scale optimization problems. The traditional CC framework divides decision variables into several mutually-exclusive groups. In this paper, we propose the overlapped cooperative co-evolution (OCC) framework for large scale optimization problems. In OCC framework, the decision variables that have strong...
In this paper, we present a gradient algorithm to identify a damping rate function for a non-Markovian single qubit system. The dynamics of the single qubit system in a non-Markovian environment are assumed to obey a time convolutionless master equation, where all the non-Markovian effects of the environment are combined in the unknown damping rate function. To identify the damping rate function,...
Vacuum switchgear technology is widely used in the worldwide in all kinds of medium-voltage distribution system for its outstanding technical performance and low life-cycle costing. Now, some manufactures have started to expand this technology to high voltage transmission level. A new developed SF6-Free Hybrid-Gas-Insulated-Switchgear in China is introduced in this paper, which uses a single vacuum...
In this paper, a waveform design method utilizing the low maximum side-lobe in the synthetic range profile as the criterion for the random hopping frequency radar is proposed. Firstly, the center range ambiguity function which represents matched filtering output of transmitted signal is derived. And the output signal to noise ratios (SNR) of it and the synthetic range profile based on correlation...
In the cloud computing environment, how to schedule tasks efficiently according to users' service requirements and improve the quality of service have become a hot research topic. Based on the research of independent task scheduling model and AMM algorithm (Average Minus Minimum), a new PAW(Priority, AMM and Weight)algorithm combined with Priority, AMM and Weight is proposed. Through quantifying task...
Second-order system of lacking damper was an alyzed and studied, and a kind of control strategy namei overlapping control was proposed to overcome the overshoo problem. By converting an input signal into two signals whicl have certain relationships on amplitude and phase to counterac the overshoot of the system, and the response speed can also b guaranteed. The parameters of overlapping control were...
Investigating biomechanical properties of the cornea can have many clinical applications, including the diagnosis of keratoconus and post-refractive keratectasia. However, ascertaining the biomechanical properties of cornea remains a challenge because of the low resolution of currently available modalities cannot provide a point-to-point stiffness mapping of cornea. In this study, we reported a high-resolution...
The focused ultrasound (FUS) systems are widely used due to their ability to generate a tight and intense focal region from a distributed source for the non-invasive and safely detection. However, these devices usually require elaborate arrays of a rather complex and cumbersome set of transducers. Holographic techniques are fundamental to applications such as volumetric displays and tweezers. The...
In this paper a kind of SSPC was designed and fabricated using thick film hybrid circuit technology. More than 1000 SSPC products went through the screening test according to GJB2438A. The screening procedure including thermal shock, high temperature power burn-in test, constant acceleration, hermetic sealing test and particle impact noise detection (PIND). Also 1000h life test was applied to samples...
Based on the special analysis of the special requirements of electronic products, the creep damage of typical tin-lead solder is more complicated in the harsh environment, and the life and reliability of aerospace products are more important. In addition, based on the typical creep damage cases of aerospace electronic products, this paper elaborates the creep rupture mechanism of solder joint in aerospace...
This paper studies a distributed dynamic resource allocation problem for a multi-agent network with a strongly connected digraph, which has increased an equality constraint for individual node requirement from the point of dynamic prediction horizon. Each agent at each prediction horizon in the network is associated with a local resource and a quadratic convex cost function. The goal is to minimize...
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