An improved non-local mean ultrasound image denoising method is proposed to solve the problem of poor effect of traditional image denoising algorithm on ultrasound images. In this method the non-local mean filtering algorithm is improved by using the gamma distribution noise model and image block matching,...

Beam Structures are crucial components in constructions, and damage identification of beam structures is an important research filed in engineering. Swarm intelligence algorithms have been widely used in structural damage identification for the past few years. The Big Bang-Big Crunch algorithm is one...

In the data processing with carrier phase, how to obtain the ambiguity value of the carrier phase accurately and efficiently is an important problem in the precision positioning data processing. This paper summarizes the processing of the integer ambiguity data.. In this paper, integer least squares...

This paper presents a bi-normalized frequency estimation algorithm which contains a two-dimensional state estimation equation and a one-dimensional frequency update rule coupled with it. The robustness of the algorithm is that the frequency estimation convergence is no longer subject to the actual value...

Aiming at the problem that the standard particle swarm optimization algorithm has a slow convergence speed and easy to fall into the local optimum, the method of region-division is introduced to dynamically adjust the inertia weight and learning factors of the particle to achieve the balance between...

Satellite communication system design engineers are often concerned with the attenuation caused by propagation in rainfall while ignoring the influence on microwave propagation on satellite-earth link in satellite communication on cloudy, foggy or rainy days. This paper comprehensively gives a calculation...

Aiming at the uncertainty of enemy target cluster number in aerial targets clustering process, an improved affinity propagation(AP) algorithm is adopted to determine the target cluster number and clustering result. Firstly, Between-Within Propagation(BWP) index is used as the measure of cluster effectiveness,...

In the tire production line, it is usually necessary to trim the blank tires to finished tires according to the sharpness of tire angle. If the determination of tire angle is made by mistakes, it will cause the tire to be a waste for choosing a wrong scraper. In order to determine the sharpness of tire...

Limited by various conditions, the features of mammography images are difficult to extract, so it is hard to classify them. The paper proposed a method based on deep learning method to classify benign and malignant mammography images. The convolutional neural network concludes four convolution layers,...

This paper applies transferring learning to facial colorization and The main body is based on DNN. However, considering the less complexity of the dataset and the equipment constraints. We extracte global features from VGG16 pre-tained model instead of Inception-resnet-v2. In adition ,we cmpare the test...

This article achieved the large-scale Mongolian text corpus from CCTV and some other news websites, and conducted statistics and analysis on the Mongolian syllables in this text. From the statistics and analysis, we can see that the possibility of the co-occurrence of the different Mongolian syllable...

Musical expression of piano performances by some distinguished pianists has been analyzed by the authors. In the analysis, the tonal tension and attraction models have been used, those are introduced in the literature of the generative theory of tonal music named “Tonal Pitch Spaces” by F. Lerdal. From...

Rolls are the most important parts in the steel production industry. The roll lifecycle management method is put forward in this paper, so as to effectively control the production cost of rolling mills and improve the quality of rolling products. RFID (Radio Frequency Identification) technology and roll...