With the continuous development of China's social economy,it has correspondingly promoted the development of the railway engineering experimental career,and has made tremendous progress in the cultivation of railw...With the continuous development of China's social economy,it has correspondingly promoted the development of the railway engineering experimental career,and has made tremendous progress in the cultivation of railway engineering experimental talents.At the same time,there are still many problems in the development of rail transit in the construction of"double first-class".Only by solving the existing problems can we further promote the smooth development of the training of railway engineering experimental talents.Therefore,the article mainly analyzes the problems and countermeasures of railway engineering experimental training,combined with the status and role of laboratories in the training of talents under the background of"double first-class",according to the society's demand for first-class engineering talents,we reformed and explored laboratory resource integration and optimization.展开更多
We consider complex-valued functions f ∈ L^1 （R^2＋）, where R＋ ：= [0,∞）, and prove sufficient conditions under which the double sine Fourier transform fss and the double cosine Fourier transform fcc belong to o...We consider complex-valued functions f ∈ L^1 （R^2＋）, where R＋ ：= [0,∞）, and prove sufficient conditions under which the double sine Fourier transform fss and the double cosine Fourier transform fcc belong to one of the two-dimensional Lipschitz classes Lip（a,β） for some 0 〈 α,β ≤ 1; or to one of the Zygmund classes Zyg（α,β） for some 0 〈 α,β ≤ 2. These sufficient conditions are best possible in the sense that they are also necessary for nonnegative-valued functions f ∈ L^1 （R^2＋）.展开更多
This paper analyzes the characteristics of the output gradient histogram and shortages of several traditional automatic threshold methods in order to segment the gradient image better. Then an improved double-threshol...This paper analyzes the characteristics of the output gradient histogram and shortages of several traditional automatic threshold methods in order to segment the gradient image better. Then an improved double-threshold method is proposed, which is combined with the method of maximum classes variance, estimating-area method and double-threshold method. This method can automatically select two different thresholds to segment gradient images. The computer simulation is performed on the traditional methods and this algorithm and proves that this method can get satisfying result. Key words gradient histogram image - threshold selection - double-threshold method - maximum classes variance method CLC number TP 391. 41 Foundation item: Supported by the National Nature Science Foundation of China (50099620) and the Project of Chenguang Plan in Wuhan (985003062)Biography: YANG Shen (1977-), female, Ph. D. candidate, research direction: multimedia information processing and network technology.展开更多
基金The research is financially supported by the Education and Teaching Reform Project of Central South University(Project No.:2019jy097)。
文摘With the continuous development of China's social economy,it has correspondingly promoted the development of the railway engineering experimental career,and has made tremendous progress in the cultivation of railway engineering experimental talents.At the same time,there are still many problems in the development of rail transit in the construction of"double first-class".Only by solving the existing problems can we further promote the smooth development of the training of railway engineering experimental talents.Therefore,the article mainly analyzes the problems and countermeasures of railway engineering experimental training,combined with the status and role of laboratories in the training of talents under the background of"double first-class",according to the society's demand for first-class engineering talents,we reformed and explored laboratory resource integration and optimization.
基金Supported partially by the Program TMOP-4.2.2/08/1/2008-0008 of the Hungarian National Development Agency
文摘We consider complex-valued functions f ∈ L^1 （R^2＋）, where R＋ ：= [0,∞）, and prove sufficient conditions under which the double sine Fourier transform fss and the double cosine Fourier transform fcc belong to one of the two-dimensional Lipschitz classes Lip（a,β） for some 0 〈 α,β ≤ 1; or to one of the Zygmund classes Zyg（α,β） for some 0 〈 α,β ≤ 2. These sufficient conditions are best possible in the sense that they are also necessary for nonnegative-valued functions f ∈ L^1 （R^2＋）.
文摘This paper analyzes the characteristics of the output gradient histogram and shortages of several traditional automatic threshold methods in order to segment the gradient image better. Then an improved double-threshold method is proposed, which is combined with the method of maximum classes variance, estimating-area method and double-threshold method. This method can automatically select two different thresholds to segment gradient images. The computer simulation is performed on the traditional methods and this algorithm and proves that this method can get satisfying result. Key words gradient histogram image - threshold selection - double-threshold method - maximum classes variance method CLC number TP 391. 41 Foundation item: Supported by the National Nature Science Foundation of China (50099620) and the Project of Chenguang Plan in Wuhan (985003062)Biography: YANG Shen (1977-), female, Ph. D. candidate, research direction: multimedia information processing and network technology.
