Emotion recognition plays an important part in human-computer interaction. Currently, the main challenge in electroencephalogram -based emotion recognition is the non-stationarity of EEG signals, which causes performance of the trained model decreasing over time. In this paper, we propose a two-level domain adaptation neural network to construct a transfer model for EEG-based emotion recognition. Specifically, deep features from the topological graph, which preserve topological information from EEG signals, are extracted using a deep neural network. These features are then passed through (...) TDANN for two-level domain confusion. The first level uses the maximum mean discrepancy to reduce the distribution discrepancy of deep features between source domain and target domain, and the second uses the domain adversarial neural network to force the deep features closer to their corresponding class centers. We evaluated the domain-transfer performance of the model on both our self-built data set and the public data set SEED. In the cross-day transfer experiment, the ability to accurately discriminate joy from other emotions was high: sadness, anger, and fear on the self-built data set. The accuracy reached 74.93% on the SEED data set. In the cross-subject transfer experiment, the ability to accurately discriminate joy from other emotions was equally high: sadness, anger, and fear on the self-built data set. The average accuracy reached 87.9% on the SEED data set, which was higher than WGAN-DA. The experimental results demonstrate that the proposed TDANN can effectively handle the domain transfer problem in EEG-based emotion recognition. (shrink)

In the process of interpreting works of pictorial art, it is easier to understand not the "style", but the "theme", that is, not how to write, but what to write. In the history of modern art, which attaches more importance to "style", the problem of "theme" is not fundamental and is among the primitive issues worthy of the attention of amateurs who do not understand art. However, sometimes it is in simplicity that the essence lies. The simplest questions that interest (...) almost everyone are the link between works of art and society. When analyzing the "topic", the subject under study is not confined to one work of art, since an integrated approach to the consideration of the problem should be used. The author's main contribution to the study of the history of the development of Chinese painting is a new perspective – the analysis of works based on the "theme". The results of the study revealed the main themes of Chinese pictorial art, identified the main reasons for referring to them, and also established their symbolic meaning, connection with philosophical and literary traditions. The important role of literary scientists in determining the directions of thematic development of Chinese landscape painting is revealed, the significance of the images of the fisherman and the traveler as carriers of the spiritual content of the landscape is determined. The conclusion is made about the prominence of certain themes in the pictorial art, depending on the processes of social development of China. (shrink)

This article starts with the analysis of the existing electronic commerce system, summarizes its characteristics, and analyzes and solves its existing problems. Firstly, the characteristics of the relational database My Structured Query Language and the distributed database HBase are analyzed, their respective advantages and disadvantages are summarized, and the advantages and disadvantages of each are taken into account when storing data. My SQL is used to store structured business data in the system, while HBase is used to store unstructured data (...) such as pictures. These two storage mechanisms together constitute a data storage subsystem. Secondly, considering the large amount of data in the e-commerce system and the complex calculation of the data mining algorithm, this paper uses MapReduce to realize the parallelization of the data mining algorithm and builds a Hadoop-based commodity recommendation subsystem on this basis. We use JavaEE technology to design a full-featured web mall system. Finally, based on the impact of cloud computing, mobile e-commerce is analyzed, including relevant theories, service mode, architecture, core technology, and the application in e-commerce, which can realize e-commerce precision marketing, find the optimal path of logistics, and take effective security measures to avoid transaction risks. This method can avoid the disadvantages of the traditional e-commerce, where large-scale data cannot be processed in a timely manner, realize the value of mining data behind, and realize the precision marketing of e-commerce enterprises. (shrink)

本书内容包括:儒学与全球化浪潮、儒学与知识经济、儒家精神与网络世界、儒学与环境伦理、儒学与当代生命伦理等。.