当前位置: X-MOL 学术Microprocess. Microsyst. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Smart Japanese listening course design based on data intelligent analysis and FPGA
Microprocessors and Microsystems ( IF 1.9 ) Pub Date : 2021-01-14 , DOI: 10.1016/j.micpro.2021.103995
Fan Wu , Qiang Li

Japan's lack of English communication opportunities proves to be a challenge for the learner, as there is no consistent training in listening and speaking English and will not provide significant improvement as a foreign language. A Japanese faculty teacher will launch a mobile-assisted language learning shadow application to overcome these difficulties. Students can cultivate their ears during shadow training. It is officially accepted that technology can be useful in improving speaking and listening. It then considers the change in motivation, influence, oral communication in English, English proficiency of first-year college students, and most science and engineering significant activities. Referral services based on user activities on the Internet, such as data analysis, can benefit Internet service providers and users. Although these services use a lot of statistical data that can be obtained through content and online transactions, they also face the challenge of ensuring that service providers do not infringe on their services' privacy. However, the large amount of data received by a network imposes a high predictable cost of the new implementation. This article focuses on accelerating its use in web service data anonymization and enabling data anonymization in Field Programmable Gate Teams (FPGA). Anonymizer proposes RAM and uses real network traffic to evaluate how it completes the test network usage.



中文翻译:

基于数据智能分析和FPGA的智能日语听力课程设计

日本缺乏英语交流机会,这对学习者来说是一个挑战,因为他们没有在英语听说方面进行持续的培训,也不会提供作为外语的显着提高。一名日本教师将启动移动辅助语言学习影子应用程序,以克服这些困难。在进行阴影训练时,学生可以训练自己的耳朵。正式接受技术可以改善口语和听力。然后,它考虑了动机,影响力,英语口语交流,一年级大学生的英语水平以及大多数科学和工程学重大活动的变化。基于Internet上用户活动的推荐服务(例如数据分析)可以使Internet服务提供商和用户受益。尽管这些服务使用了大量可通过内容和在线交易获得的统计数据,但它们也面临着确保服务提供商不侵犯其服务隐私的挑战。但是,网络接收到的大量数据会给新实现带来高昂的可预测成本。本文着重于加速其在Web服务数据匿名化中的使用以及在现场可编程门团队(FPGA)中实现数据匿名化。匿名器建议使用RAM,并使用实际的网络流量来评估它如何完成测试网络的使用。网络接收到的大量数据会给新实施带来高昂的可预测成本。本文着重于加速其在Web服务数据匿名化中的使用以及在现场可编程门团队(FPGA)中实现数据匿名化。匿名器建议使用RAM,并使用实际的网络流量来评估它如何完成测试网络的使用。网络接收到的大量数据会给新实施带来高昂的可预测成本。本文着重于加速其在Web服务数据匿名化中的使用以及在现场可编程门团队(FPGA)中实现数据匿名化。匿名器建议使用RAM,并使用实际的网络流量来评估它如何完成测试网络的使用。

更新日期:2021-01-22
down
wechat
bug