全业务运营下网络技术与发展趋势

随着全业务运营时代的到来,各通信运营商都要实现固定和移动多接入融合通信语音业务并能同时面向集团客户、家庭客户和个人客户提供丰富的语言增值业务,中国通信行业正面临着全业务运营下的激烈竞争,随着技术的进步,各通信运营商迫切需要了解全业务运营下网络技术与发展趋势,围绕着全业务运营下网络技术与发展趋势展开论述。主要介绍了实现全业务运营需要的网络技术,分析了每种网络技术的优缺点,指出了实现全业务运营需要的网络技术与发展趋势。     

Automatic recognition and quantitative analysis of Ω phases in A1-Cu-Mg-Ag alloy

The main methods of the second phase quantitative analysis in current material science researches are manual recognition and extracting by using software such as Image Tool and Nano Measurer. The weaknesses such as high labor intensity and low accuracy statistic results exist in these methods. In order to overcome the shortcomings of the current methods, the Ω phase in A1-Cu-Mg-Ag alloy is taken as the research object and an algorithm based on the digital image processing and pattern recognition is proposed and implemented to do the A1 alloy TEM （transmission electron microscope） digital images process and recognize and extract the information of the second phase in the result image automatically. The top-hat transformation of the mathematical morphology, as well as several imaging processing technologies has been used in the proposed algorithm. Thereinto, top-hat transformation is used for elimination of asymmetric illumination and doing Multi-layer filtering to segment Ω phase in the TEM image. The testing results are satisfied, which indicate that the Ω phase with unclear boundary or small size can be recognized by using this method. The omission of these two kinds of Ω phase can be avoided or significantly reduced. More Ω phases would be recognized （growing rate minimum to 2% and maximum to 400% in samples）, accuracy of recognition and statistics results would be greatly improved by using this method. And the manual error can be eliminated. The procedure recognizing and making quantitative analysis of information in this method is automatically completed by the software. It can process one image, including recognition and quantitative analysis in 30 min, but the manual method such as using Image Tool or Nano Measurer need 2 h or more. The labor intensity is effectively reduced and the working efficiency is greatly improved.