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This paper proposed a new model which can successfully solve the image restoration problem and segmentation together. In the new model, the blind image restoration and segmentation problem are decoupled, making the algorithm faster. The blind image restoration process is based on the adaptive norm regularization which can estimate both piecewise constant point spread function and smooth point spread...
As there are more high-altitude, cross, large machinery operations, and with complex process and tight deadlines, plus construction space by the impact of existing traffic of the municipal bridge construction, therefore the construction security risk is high and security management is difficult. In this paper, calculation model and core parameters of classical LEC method are improved and a standard...
With the development of Internet of things technology and cloud technology, the Internet of things technology has been used in all walks of life, the informatization construction of higher vocational colleges is developing from digital campus to wisdom campus. The article introduces the concept and characteristics of Internet of things, as well as the basic construction of wisdom campus. Combined...
This paper depicts a broadband single-layer reflectarray antenna composed of defected double-square rings elements. The element is optimized to provide a linear phase curve and wide-enough phase variation range (over 500°) compared to the conventional single-layer reflectarray elements, which leads a broader bandwidth. Here we designed a 30°-beam-steering reflectarray operating at 12.5 GHz, and verified...
The characteristic and requirements of the electric drive system of the amphibious vehicle with the fuel cell battery and permanent magnet motor are introduced firstly. Then based on the mechanism of the integrated hydraulic mechanical transmission that is the traditional drive system, the mechanism scheme of the transmission system of the amphibious vehicle is designed. And also one new scheme of...
The Safety streams of LTE/SAE system include AS (Access Stratum) and NAS (Non-Access Stratum) two security levels. The AS security is the security between the UE (User Equipment) and eNB (evolved Node-B), mainly to complete the encryption and integrity protection for AS signaling, the integrity protection for the data of UP (User Plane). In this paper, through the analysis of the SAE security architecture...
According to whether the police resources have the maximum limit or not, the problem of traffic patrol police deployment is divided into two kinds: unlimited-resource and limited-resource problem, which could be solved by Set Covering Location Model and Maximum Covering Location Model respectively. In this paper, three heuristic algorithms, including Simulated Annealing Algorithm, Genetic Algorithm...
The dynamic model of 300MW CFBB super-heated steam temperature is established which takes the desuperheating water mass as the input and the inlet and outlet super-heated steam temperature as the output. Recursive least square (RLS) is used to identify the model parameters and the ideal identification result is achieved. The result provides a reference for the analysis and control of the dynamic characteristics...
A variety of satellite navigation system with cooperative navigation is an important development trend of the future GNSS. Based on the needs of multimode signals, analyze the characteristics of new signals. Furthermore, the reconfiguration strategies of multimode signals are studied. Taking synchronous processing speed, accuracy, resource utilization, complexity or something like these into account,...
Object tracking under complex circumstances is a challenging task because of background interference, object deformation, obstacle occlusion, etc. Given such conditions, robustly detecting through single-feature representation are difficult tasks. For these problems, this paper presents object tracking based on a fragment and a multi-feature adaptive fusion. Through importing the concept of fragments,...
In modern society, automatic license plate recognition (ALPR) plays an important role in the field of Intelligent Transport Systems (ITS). In order to recognize the license plate efficiently, the location of the license plate must be detected first. In consequence, the detection of the license plate becomes a crucial stage in an ALPR system, affecting the performance of the whole system enormously...
Contract disputes take up a significant proportion in our country's legal practice, and research on legal diagnosis targeted at contract claim is of great importance. Aiming at features of different users of litigants, agents, lawyers, judges and so on, this paper proposes the establishment Diagnostic System of Contract Claim based on Web and multi-agent technology. It can not only meet the operation...
Restored images usually come with ring-like faculties, which not only reduce the image quality, but also affect the image fidelity. In order to restrain the ringing effect, a method is proposed to detect ringing stripe using the similarity between the image contours and ringing curve. According to the position and shape characteristics of the ringing, this method locates potential ringing stripes...
Face gender recognition is a very challenging problem in computer vision, which plays an important role in many visual applications. In this paper, we present a framework that combines the unsupervised dictionary learning and supervised classifier training together to this gender recognition problem. We firstly apply sparse non-negative matrix factorization (sparse NMF) to learn intrinsic part-based...
Wide-range traversal algorithms and some intelligent iterative algorithms are applied to the traditional SVM parameter optimization, causing much time consumption. They are not suitable for parameter optimization of big data set particularly. To get around this, a strategy of stepwise optimize parameters based on the contour plots of cross-validation accuracy is proposed in this paper. Compared with...
Traditional recommendation algorithms face some serious problems, including data sparsity, cold start and inefficiency. To better address the problems above, the paper proposes a hybrid recommendation algorithm based on improved collaborative filtering of user context fuzzy clustering and content-based. For collaborative filtering, firstly, user classification is based on fuzzy clustering according...
According to the characteristics of the fruit and vegetable mechanization picking working environment, a segmentation method for apple fruit based on fractal characteristics is proposed in the paper. Firstly, the image is converted from RGB color space to I1I2I3 color space. Secondly, the image is divided into several regions and the texture features of every region are described by using the fractal...
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