WeChat Mini Program
Old Version Features

基于传感器技术的弦线驻波综合实验仪开发

Experimental Technology and Management(2021)

Cited 0|Views6
Abstract
该文对现有弦线驻波实验仪进行深入研究和分析,提出基于传感器技术的弦线驻波综合实验仪设计方案,并制作样机.该实验仪设计有精密机构微调弦线张力,引入拉力传感器和软件算法提高张力的准确性,设计有振源幅度微调机构,并设计有电信号接口可经示波器观察振源和弦线张力的实时变化曲线.另外,实验仪还引入物联网技术实现数据实时采集和上传.样机测试数据表明,该实验仪可有效提高实验数据准确性,并提供多种实验方案用于研究驻波规律.
More
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
Summary is being generated by the instructions you defined