It has great advantages in data processing. Embedded microsystems are widely used in IoT devices because of their specific functions and hard decoding technology. This article adds a literary vocabulary semantic analysis model to the embedded microsystem to reduce power consumption and improve the accuracy and speed of the system. The main purpose of this paper is to improve the accuracy and speed of semantic analysis of literary vocabulary based on the embedded microsystem, combined with the design idea of Robot Process Automation (RPA) and adding CNN logic algorithm. In this paper, RPA Adam model is proposed. The RPA Adam model indicates that the vector in the vector contains not only the characteristics of its own node but also the characteristics of neighboring nodes. It is applied to graph convolution network of isomorphic network analysis and analyzes the types of devices that can be carried by embedded chips, and displays them with graphics. Through the results, we find that the error rate of the RPA Adam model is the same at different compression rates. Due to the different correlations between knowledge entities in different data sets, specifically, high frequency can maintain a low bit error rate of 10.79% when the compression rate is 4.85%, but when the compression rate of high frequency is only 60.32%, the error rate is as high as 11.26%, while the compression rate of low frequency is 23.51% when the error rate is 9.65%.

中文翻译：

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基于微系统和计算机辅助深度研究的文学词汇语义分析

在数据处理方面有很大的优势。嵌入式微系统因其特定的功能和硬解码技术而被广泛应用于物联网设备中。本文在嵌入式微系统中加入文学词汇语义分析模型，以降低功耗，提高系统的准确性和速度。本文的主要目的是基于嵌入式微系统，结合机器人过程自动化（RPA）的设计思想，加入CNN逻辑算法，提高文学词汇语义分析的准确性和速度。本文提出了RPA Adam模型。RPA Adam 模型表明向量中的向量不仅包含自身节点的特征，还包含相邻节点的特征。应用于同构网络分析的图卷积网络，分析嵌入式芯片可承载的设备类型，并用图形显示。通过结果，我们发现RPA Adam模型在不同压缩率下的错误率是相同的。由于不同数据集中的知识实体之间的相关性不同，具体来说，高频在压缩率为4.85%时可以保持10.79%的低误码率，但在高频压缩率仅为60.32%时，误码率为率高达 11.26%，而在误码率为 9.65% 时，低频压缩率为 23.51%。我们发现 RPA Adam 模型的错误率在不同的压缩率下是相同的。由于不同数据集中的知识实体之间的相关性不同，具体来说，高频在压缩率为4.85%时可以保持10.79%的低误码率，但在高频压缩率仅为60.32%时，误码率为率高达 11.26%，而在误码率为 9.65% 时，低频压缩率为 23.51%。我们发现 RPA Adam 模型的错误率在不同的压缩率下是相同的。由于不同数据集中的知识实体之间的相关性不同，具体来说，高频在压缩率为4.85%时可以保持10.79%的低误码率，但在高频压缩率仅为60.32%时，误码率为率高达 11.26%，而在误码率为 9.65% 时，低频压缩率为 23.51%。