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The paper introduces the principle of traditional PID algorithm, analyzes its advantages and disadvantages, and proposes a new control scheme — variable structure fuzzy neural network for such a nonlinear and complex system of automatic Gauge control (AGC). Variable structure fuzzy neural network combines the advantages of neural network and fuzzy control, and also adds a genetic algorithm to optimize...
In the era of big data, massive data has been accumulated in integrated application platform of traffic management of public security. Confidential information leakage is one issue of great importance in the process of data collecting, storing, processing and utilizing. In this work, we propose an anomaly detection approach for the prevention of confidential information leakage. Assume that users'...
High-frequency ultrasound (>20 MHz) imaging has gained widespread attention due to its high spatial resolution being useful for basic cardiovascular and cancer research involving small animals. The sampling rate of the analog-to-digital converter in a high-frequency ultrasound system usually needs to be higher than 120-MHz to satisfy the Nyquist requirement. However, the sampling rate is typically...
Ultrasonic (US) brain stimulation, has been demonstrated to noninvasively alter neuron activity in animals and humans. Capable of non-invasive transmission trough skull with fine focal size (∼mm), it is an encouraging means and a good alternative to existing stimulating strategies. However, the bio-effects of US are diverse and thus it is crucial to develop precise neuron control strategies for later...
Malignant tumors appear to own the ability to recruit normal tissue cells that contribute to the tumorigenesis process by creating the “tumor microenvironment”. MMPs, is one of the most significant family of proteinases that are related to tumor microenvironment. Recent understanding of MMPs has recognized its role as modulators in tumor microenvironment; however, the current strategies for in vivo...
Brushless Doubly-Fed Induction Generator (BDFIG) is potential for power generation applications for its high reliability and low maintenance cost. Realization of Vector Control (VC) for stand-alone Doubly Fed Induction Generator (BDFIG) system requires the exact synchronous rotating d-q transformations. However, such a d-q transformation is complicated since a BDFIG contains two stator windings and...
Melasma is a widely spread skin pigmentation disease and accurate assessments of the disease severity is crucial during its treatment. Recently, several computerized methods have been developed to overcome the shortcomings of the conventional clinical assessment method. As a key step in algorithm, image segmentation has extensive impacts on the accuracy of the assessment. Currently, the optimal hybrid...
This paper discusses design and parameters identification of a flexible joint robot (FJR) with 2 degrees of freedom. Design of a compact series elastic actuator (SEA) and hardware architecture of FJR, with each joint implemented an SEA, is introduced. To obtain relatively accurate parameters value in dynamic model of FJR, some identification methods of each term are detailed.
In this paper, a novel quaternion adaptive filtering algorithm is proposed for a unified processing of 3D and 4D data, called quaternion least mean kurtosis (QLMK) algorithm. Multi-dimensional signals exhibit a complex nonlinear relationship and couple among different components. Considering that quaternion has huge advantage in terms of the representation of 3D and 4D signal, quaternion algebra is...
Document image binarization is a crucial step towards optical character recognition and analysis. One common way to achieve image binarization is thresholding. Thresholding methods can be divided into global and local ones in terms of the regional information used in obtaining the threshold values. Both methods have their respective drawbacks. Global methods can not adapt to background variations...
This paper proposes a method based on the bag-of-words (BoW) and the softmax regression for microscopic image classification. Essentially, the locality-constrained linear coding (LLC) is adopted for local feature encoding. Compared with the traditionally adopted vector quantization (VQ) in the BoW framework, the LLC encodes local structures of microscopic images with lower quantization errors and...
Gas discharge includes many pre-discharge current pulses with rise time of several nanoseconds and amplitude of several milliamperes. The breakdown current after pre-discharge process can reach up to several kiloamperes. To measure pre-discharge current safely and accurately, a novel current transducer should be developed. The scheme that a transient voltage suppressor (TVS) paralleled with self-integral...
A generating system of very fast transient overvoltage (VFTO) and lightning impulse (LI) was established. The effects of voltage polarity, gas pressure and voltage waveform on discharge characteristics of SF6 gas with and without insulators under VFTO and LI were investigated. Experimental results show that the 50% breakdown voltage of rod-plane gap under VFTO is higher than that under LI in positive...
Aiming at the starting problem of motor equipment, this paper studied a large of existing soft start modes and their starting characteristics. Then, using MATLAB/Simulink tool to build common soft start simulation models, this paper got a lot of simulation waveforms. These helped to identify the applicable occasions of these soft starters and their respective advantages and disadvantages. We designed...
The purpose of research on image quality assessment (IQA) is to find proper methods to measure the quality of images. The subjective evaluation score by HVS is usually used as a standard to be compared with. So, the more similar the measuring process is to HVS, the better the result should be. Motivated by this idea, contourlet transform and singular value decomposition are used in this article to...
In this paper, we investigate the convergence performance of a sparsified kernel least mean square (KLMS) algorithm in which the input is added into the dictionary only when the prediction error in amplitude is larger than a preset threshold. Under certain conditions, we derive an approximate value of the steady-state excess mean square error (EMSE). Simulation results confirm the theoretical predictions...
BEOL pitch is less than 90nm in 28nm and below technology node. As a result of the reduction of size, the etching of AIO is a huge challenge. This paper introduces the issue of seal ring residue in the development of 28nm AIO etch process and the balance of SAV (Self-Align-Via) profile control, Via CD control. We put forward theoretical analysis and give the final solution to etch issue on this basis.
In this study, we explore long short-term memory recurrent neural networks (LSTM-RNNs) for speech enhancement. First, a regression LSTM-RNN approach for a direct mapping from the noisy to clean speech features is presented and verified to be more effective than deep neural network (DNN) based regression techniques in modeling long-term acoustic context. Then, a comprehensive comparison between the...
In this paper, a practical control approach is suggested for series elastic actuators(SEAs) to generate the desired torque. Firstly, based on the analysis of a nonlinear SEA, the generic dynamics for a class of SEAs is summarized. Then the dynamic equations are transformed into a novel state-space form which is convenient for controller design. Finally, based on the recently developed finite-time...
This paper proposes a method on path planning for mobile robots in the environment with some unknown obstacles. The whole planner consists of three parts. First, generate the global path from the given start pose to goal pose according to the known map of environment. Then when robot following the planned path, the module of threat assessment check whether or nor there are unknown obstacles in the...
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