In order to distinguish between computers and humans, CAPTCHA is widely used in links such as website login and registration. The traditional CAPTCHA recognition method has poor recognition ability and robustness to different types of verification codes. For this reason, the paper proposes a CAPTCHA recognition method based on convolutional neural network with focal loss function. This method improves the traditional VGG network structure and introduces the focal loss function to generate a new CAPTCHA recognition model. First, we perform preprocessing (...) such as grayscale, binarization, denoising, segmentation, and annotation and then use the Keras library to build a simple neural network model. In addition, we build a terminal end-to-end neural network model for recognition for complex CAPTCHA with high adhesion and more interference pixel. By testing the CNKI CAPTCHA, Zhengfang CAPTCHA, and randomly generated CAPTCHA, the experimental results show that the proposed method has a better recognition effect and robustness for three different datasets, and it has certain advantages compared with traditional deep learning methods. The recognition rate is 99%, 98.5%, and 97.84%, respectively. (shrink)

Volume 17, Issue 4, September 2020, Page 468-470.

Previous research on the INTRODUCTORY IT PATTERN unveiled various lexical and grammatical aspects of its use as a grammatical stance device, including the range of the most frequently used adjectival and verbal stance lexemes, associated stance meanings, the most frequent sub-patterns, and the distinct uses in various contextual settings of the pattern. However, the stance meanings of the pattern, which are deeply rooted in the associated lexical resources, are still understudied. This study explores the meanings of the INTRODUCTORY IT PATTERN (...) by referring to the stance meanings of the pattern associated with the adjectival and verbal lexemes that are statistically attracted to the pattern. The research samples were extracted from the British component of the International Corpus of English. The samples were manually annotated for different stance types and a collexeme analysis was performed to identify the full range of stance lexemes statistically associated with the INTRODUCTORY IT PATTERN. The results show that both adjectival and verbal collexemes are statistically and functionally significant for the delivery of discrete stance types/subtypes. Adjectival collexemes are frequently deployed for all four stance types: Epistemic stance, Evaluation stance, Dynamic stance, and Deontic stance, while verbal collexemes are valuable lexical resources for the Epistemic stance, as their use entails modalized evidentiality, pointing to epistemic judgment of the writer-speaker toward events/propositions. Close examination of the use of adjectival and verbal collexemes identified three fundamental meanings of the INTRODUCTORY IT PATTERN. First, the pattern is inherently evaluative as it tends to attract more lexemes with evaluative meanings and associates evaluative meanings with superficially non-evaluative lexemes. Second, it features a scalarized expression of diversified stance types/subtypes, thus, especially reflective of the scalarized semantic feature of stance expression. Third, it connotates an overwhelmingly positive likelihood judgment. The article concludes by discussing the limitations of this study. (shrink)

Culture is the bloodline of the nation and the spiritual home of the people. Intangible cultural heritage belongs to the field of culture, and the transmission of ICH is a kind of human-based cultural transmission, which is the shaping of people’s morality, character, sentiment, will, ideals and beliefs, value orientation, humanistic cultivation, artistic taste, way of thinking, wisdom, and ability in the practice of production and life of various ethnic groups. Based on the status acquisition model, this study analyzed the (...) human capital, social capital, and psychological capital of ICH bearers from three perspectives. In addition to the conventional socio-demographic factors such as gender, age, place of residence, and education level as control variables, status attainment was introduced as a dependent variable, and occupational identity, job satisfaction, and entrepreneurial ability were introduced as mediating variables to construct a conceptual model in the hope of exploring the multiple influencing factors of status attainment among ICH bearers. Interviews were used to gain, the feelings and knowledge of experts, scholars, and ICH bearers, to lay a solid qualitative research foundation for this study. A questionnaire survey was also conducted to obtain basic information and professional experiences of ICH bearers to provide real support for the research analysis and discussion. As per the results of this research, all the hypotheses were supported except, HC did not have any significant impact on JS. Furthermore, SC was not in a significant association with career identity. Moreover, career identity and status attainment did not have a significant relationship. (shrink)