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In view of the problem that ATE(Automated Test Equipment) can not measure the total jitter of FPGA (Field-Programmable Gate Array) embedded high-speed interface directly, this study presents a method to predict the total jitter of high-speed interface based on optimized BPNN(Back Propagation Neural Network). The GA-BP neural network is formed to optimize the initial weight and parameter seeking process of BPNN using the strong global search ability of GA(Genetic Algorithm), and improve the accuracy of predicting the total jitter. The GA_BP total jitter prediction model was constructed using MATLAB software to predict and optimize the screened jitter data. The experimental results show that compared with the non-optimized BP neural network and the traditional Elman neural network prediction model, the mean square error of the GA_BP prediction model is declined by 75.5% and 88.0%, and the number of iterations is reduced by 68.0% and 59.8%, respectively. It indicates that the proposed GA_BP model has higher prediction accuracy and iteration efficiency, and can be applied to total jitter production test in ATE. [ABSTRACT FROM AUTHOR]

Copyright of China Fiber Inspection / Zhongguo Xian-Jian is the property of China Fiber Inspection and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Fiber Inspection / Zhongguo Xian-Jian is the property of China Fiber Inspection and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Fiber Inspection / Zhongguo Xian-Jian is the property of China Fiber Inspection and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The Sichuan-Tibet traffic corridor is prone to heavy rain and mountain stream catastrophes. Mountain torrent risk management in this area includes assessing the risk of mountain torrent catastrophes, which is critical to the development of the Sichuan-Tibet region. This paper selects 21 indicators to construct the Sichuan-Tibet traffic corridor rainstorm and mountain torrent disaster risk assessment system based on data from the Sichuan-Tibet railway(tracks, bridges, and tunnels） and the Sichuan-Tibet highway(national road, provincial road, county road, and township road). In the Sichuan-Tibet traffic corridor, the danger, vulnerability, disaster reduction capabilities, and risk of mountain torrents are assessed. The results show that: from the perspective of the overall area, the high-risk areas in the Sichuan-Tibet traffic corridor are mainly distributed in Shannan City(Sangri County), Nyingchi City(Lang County, Milin County, Bomi County and Medog County), Ganzi Tibetan autonomous prefecture(Litang County and Yajiang County), Kangding City and Ya’an City. From the perspective of highway routes, the national highway G318 in Bomi County, Chamdo and Dege County, the provincial highway S214 in Chamdo, Ganzi provincial highway S217 in the county and provincial highways S209 and S210 in Malkang City are in high-risk areas. From the perspective of railway lines, Sichuan-Tibet Railway Sangri-Jiacha, Langxian-Milin and Litang-Ya’an sections are in the high-risk area. [ABSTRACT FROM AUTHOR]

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Advanced Textile Technology is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Standards are a bridge connecting industry-learning-research-inspection-appraising and application. In order to give full play to the basic strategic and leading role of standards in upgrading the industrial chain of textile industry the research on the standard system of textile industry was carried out. On the basis of sorting out relevant standards this paper puts forward the basic principles of standard system construction including overall planning green development multi-party participation and collaborative progress as well as based on domestic and international standards. According to the National Standard GB/ T 30558-2014 Technical Textiles Classification the standard system architectures and the frameworks including basic standard A method standard B and product standard C are constructed. According to the industry development plan this paper analyzes the key development standards of 16 application fields and puts forward some supporting measures such as strengthening overall planning and coordination implementing dynamic renewal and strengthening exchange and cooperation. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Silk is the property of Zhejiang Sci-Tech University Magazines and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of China Textile Leader is the property of China Textile Information Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)