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Ship heading sliding mode tracking control algorithm was investigated based on the minimum parameter learning algorithm of Radial Basis Function (RBF) neural network. RBF neural network has been used to approach the uncertainty function of ship nonlinear motion system and unknown external interference. In consideration that the RBF neural network weights is difficult to adjust quickly, the minimum...
In recent years, the theory and method of wavelet analysis is widely used in signal processing, pattern recognition, data compression, image processing and quantum physics. Compared with modulus maxima, wavelet packet decomposition and coefficient shrinkage de-noising method of wavelet transform, their advantages and disadvantages are analysed and summarized, and their respective scopes are obtained...
During settlement, many methods will provide valuable information. When different methods combined properly, valuable information is variously used. Based on the principle of artificial intelligence and method of fuzzy mathematics, the fuzzy combination forecasting method of self-adaptively variable weight is proposed. According to matching degree, the weights can be revised, and then forecasting...
Focusing on the coupled dynamics between electric power steering (EPS) system and traction control system (TCS) and in order to improve the steering stability and dynamic performance of the four-wheel drive vehicle, a hierarchical coordinated control strategy of EPS and TCS was proposed. Firstly, a high-order and nonlinear dynamic model was built based on an eight-degree of freedom vehicle model....
To guarantee the safety of an unmanned aircraft on the accident of the control surface failure, an algorithm of fault detection and surface reconfiguration is necessary. As the neural network can approximates arbitrary nonlinear functions, the neural network NARMAX model is able to capture the nonlinear dynamics. The proposed neural network NARMAX model based complementary filter provides an efficient...
Latent Dirichlet allocation (LDA) and other modified topic models have become the prevalent tools for semantic analysis and text data mining. With the rapid development of the medical information, large amount of data has been accumulated in the form of text, while most of which recording in a confused structure. Based on LDA, this paper proposes a revised approach, which enlightens an idea of weighting...
In order to improve the accuracy of recognition insulators and effectively reduce the influence caused by the texture and illumination of the background, a novel insulator recognition method merged the shape, color and texture of insulator is presented. Firstly, the parallel line features were perceived from different directions in the inspection images as candidates of insulator regions, and then...
SpaceWire is a full-duplex, point-to-point, high-speed serial data transfer standard which is intended for use in further on-board spacecraft, space missions and applications. However, space environment is harsh and complex which requires a communication network with high reliability. It is inevitable that SpaceWire network link fault or SpaceWire equipment damage is able to change the SpaceWire network...
This paper selected 2 kinds of different hemp blended yarns to develop 8 knitted fabrics in various structures and mixed ratio by Santoni SM8-TOP2S, which were distinctively tested for moisture-permeability, breathability, warm-cool feeling, bursting strength, Pilling Resistance, abrasive resistance and color fastness. Based on the theory of fuzzy comprehensive evaluation, the fabric with the highest...
The paper proposes a method for human action recognition which focuses on solving the problems resulting from complex hand-crafted features. The method aggregates both spatial and temporal features and can be divided into two parts: multi-channel feature fusion and action classification. For adding motion and shape information, it firstly combines gray, optical flow and Difference of Gaussian(Dog)...
Privacy protection in cloud computing environment has become the key to the rapid development of cloud computing, until now more researches have being placed on preserving methods of privacy, but less on filtering and preserving them efficiently. A two-stages filtering model is designed in this paper to solve the problem. The privacy filtering and processing methods are designed correspondingly. The...
With the development of computer network technology and popularization, and the technology of data acquisition, data management and data query develop rapidly. People who is in the surging "data ocean", need an intelligent technology badly, to "explore" more valuable "oil "from the "data ocean",so the data mining technology which has been successfully used in...
In this paper, we design a small temperature control system based on thermoelectric cooler (TEC), which uses proportional integral differential (PID) compensation network to control and drive the TEC module used as a temperature compensation element, and adopts a dedicated control chip, MAX1978, to conduct semiconductor refrigeration closed-loop automatic control. In room temperature environment,...
As a challenging topic in computer graphics and computer vision, 3D face modeling has been applied in various fields including film and animation production, game development as well as medical analysis. In this paper, we mainly aims at face personalized modeling optimization based on KINECT2. The optimization of the scheme proposed is the mesh deformation based on the differential coordinates constrained...
Pulmonary nodule is a common lung disease, which can be prone to misdiagnosis and missed diagnosis. With the extensive application of CT technology, doctor's diagnostic efficiency has been greatly improved. However, the amount of CT image data is relatively large. Radiologists have to take a lot of time to read these images, and easy to overlook some minor lesions. Computer aided detection technology...
Saliency detection is to find the most important object automatically according to the human visual in the unknown scene. Most existing algorithms detect the salient object using various salient object features. In this paper, we present a novel saliency detection method by an iterated graph Laplacian based ranking on manifolds to determine whether the region is salient or not. Firstly, we segment...
From naval operations to ocean science missions, the importance of autonomous vehicles is increasing with the advances in underwater robotics technology. Due to the dynamic and intermittent underwater environment and physical limitations of underwater unmanned vehicle (UUV), feasible and optimal path planning is crucial for autonomous underwater operations. According to different mission, the path...
The paper considers the problems of the design of a reduced-order observer, the state estimation and unknown input reconstruction for a class of discrete time Tagaki-Sugeno (T-S) fuzzy system inputs when the observer matching condition is not satisfied. First, an auxiliary output vector is constructed to satisfy the observer matching condition. Then, a reduced-order observer is designed for accurate...
This paper proposed a novel blind image quality assessment method that is created by training a convolutional neural network to learn discriminant features of image quality and fitting the features with a support vector regression to get an evaluation score. The pooling procedure is help to reduce the feature dimension and improve computation efficiency. The proposed method does not need any hand-crafted...
The traditional appraisal methods of smart city construction usually neglect the final construction goals of the smart city, which are: wholehearted service for the citizens, efficient city governance, freely share of the city data, sustainable economic development and safety and cleanness of the cyberspace. And the traditional appraisal method needs some priori knowledge, which will influence the...
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