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Detecting multi-interface from the oil-water separation image is the basis of automatic detection of the moisture content and other indicators based on machine vision in heavy oil. Because of the strong viscosity, heavy oil easily attaches to the test tube wall and the oil-air and oil-water interface information is fuzzy. It is difficult to extract different location of the interface information simultaneously...
Convolutional neural network (CNN) based trackers have achieved significant performances in tracking recently. Most existing CNN-based trackers regard tracking as a classification or similarity searching problem. The two methods have their respective superiorities and limitations because of different supervised objectives. In this paper, we propose a multi-task CNN for visual tracking, not only fully...
The nonlinearity estimation is a major problem in the application of Kalman filtering. Though EKF algorithm achieves the output estimation by using approximate nonlinear function, and it enhances the application in nonlinear system to some extent, for strong nonlinear systems, the EKF still has a large estimation error. Therefore, an approximate probability density of the UKF algorithm is proposed...
A quasi Z-source (QZS) network is coupled to the direct matrix converter (DMC) and a novel strategy of dual space vector modulation is proposed. It can effectively solve the defect of lower voltage transfer ratio of traditional matrix converter. The DMC which introduced the QZS can allow the three phase AC input side short circuit which defined shoot-through state. It can achieve the AC input voltage...
In this paper, a novel classifier for classification problems, based on increment support vector data description, is proposed. The proposed method is the expand version of increment support vector data description by bring in two classes of sample. Because of the addition of two kinds of sample. This method can reflect the target sample distribution state more complete in super ball space. The results...
In this paper, we study the fault tolerant control problem of actuator fault by indirect adaptive method. There are normal conditions, the failure of executor partial, interruption, and non-parametric failures of actuator form. We assume that the efficiency factor of actuator is unknown, furthermore, the external disturbances and the boundary of time-varying card failures are also unknown. In addition,...
With the emergence of large-scale and high-performance modern production system, how to effectively improve the safety performance of the control system has become an urgent problem to be solved.[1] Fault detection and diagnosis as the main means to improve the reliability of the control system have been widely valued. Fault diagnosis is a technique to use the information in the system to detect the...
An image-based multivariate multiscale entropy (MMSE) method used to measure the size of stacking particles is proposed. The intensive stacking particles with irregular shape and different sizes are collected online and processed by gradient image and one-dimensional coarse graining. Composite delay vectors are formed on row space to eliminate noise between multichannel variables. Then, the multivariate...
With the rapid development of Internet of things, Wireless Sensor Networks (WSN) has received growing interests. As the virtual backbone of WSN, connected dominating set (CDS) plays an important role in supporting data communication, reducing routing overhead and enhancing the scalability of the network. Attribute to the rapid development of microprocessor and electronic technology, communication...
Entity alignment is an important issue in the areas of ontology alignment and computational intelligence. Ontology alignment is a key technology to solve the semantic heterogeneity problem of ontology and the Semantic Web, and to realize knowledge reusing and integration. The task of entity alignment is to identify entities represented in textual documents or web pages which refer to the same entities...
As the most widely used recommendation algorithm, collaborative filtering (CF) has been studied for many years due to its simplicity and effectiveness. The two main categories of CF have their own shortcomings. Memory-based CF can't generate accurate results when faced with data sparsity; and model-based CF always loses the information between users or items. To alleviate this problem, we propose...
In this paper, a robust fuzzy-tuned PID controller is proposed for the trajectory tracking and vibration control of a flexible joint manipulator system (FJMS) with parametric uncertainties. Flexible joint manipulators are widely used in industry due to their flexibility, light in weight and fast response, low cost, and low energy consumption. The dynamic modeling via Euler-Lagrange equation for a...
In this paper, a novel design of bandpass filter with both reconfigurable center frequency as well as controllable fractional bandwidth is presented. Proposed is a three-pole configurable evanescent mode (CEVA) filter that based on low loss Rogers 5880 and consists of two arrays of metallic electromagnetic bandgap (EBG) posts that oriented in both horizontal and vertical direction. In simulation model,...
A K-means clustering RBF neural network modeling method is introduced in this paper, this model is for infrared target spectral emissivity estimation. Part of the transmission of infrared radiation in the atmosphere is absorbed by the atmosphere, the use of RBF neural network measurement samples for analysis and learning. An infrared energy model of 3–14 μ m was established to estimate the spectral...
Urban Planning Stake for urban planning and design, were been the basis of land development, roads and public facilities construction reference. In tradition, according to measured and buried stone marker in the land to define the Urban Planning Stake location of the Urban Planning. However, the cost of buried Urban Planning Stake is too high as well as maintain in the future also has certain difficulty.
Tough working conditions of planetary gearboxes lead gear sets are fault-prone. Then, using condition monitoring and faults diagnosis on planetary gearboxes is urgent. However, due to the epicyclical motion of planet gears, the vibration transmission path between the fix-mounted sensor and the sun gear is time-varying, the conventional synchronous averaging (SA) for the feature extraction of gear...
Synchronization of chaotic systems and/or maps is a key step to implement secure communication schemes with chaos. If the process to synchronize chaotic systems is modeled stochastic, schemes based on extended Kalman filter (EKF) and unscented Kalman filter (UKF) have been studied in the past. However, such nonlinear filters are employed with assumptions of Gaussian noise processes and the Markov...
A novel machine learning algorithm named pruning support vector data description (PSVDD) is developed to classify the FFT-magnitude feature of complex high-resolution range profile (HRRP), motivated by the problem of radar automatic target recognition (RATR). The PSVDD algorithm not only inherits the advantage of LSSVM model, which owns low computational complexity with linear equality constraints...
Combining current reference PWM (CRPWM) and sinusoidal PWM (SPWM), with the aid of stator-flux-oriented and grid-voltage-oriented vector control strategy, the doubly fed wind power generation system is modeled based on the mathematical model. According to Chinese recent regulations on low voltage ride through (LVRT), this paper proposed a novel LVRT voltage control strategy which can provide reactive...
Engineering documents are valued resources in the reuse of engineering knowledge and effective reuse of these documents depends on efficient retrieval. A semantic indexing method, which accomplished by utilizing state-of-the-art ontology technologies of Semantic Web, is proposed in this paper to handle the issues in engineering documents retrieval. Firstly, in order to represent the semantics embedded...
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