Connotation

About: Connotation is a research topic. Over the lifetime, 2096 publications have been published within this topic receiving 8265 citations.

Research on Archaeology and Digital Restoration of Costumes in Spring Outing Painting of Madam Guo

Abstract: Spring Outing Painting of Madam Guo is one of the representative works of Zhang Xuan, a famous Chinese court painter of the Tang dynasty (618–907), who was the “leader” of the trend of figure painting in the Tang dynasty and had a great influence on later figure painting. The costumes of the characters in the paintings not only show the artistic aesthetics of the prosperous Tang dynasty, but also reflect the rich cultural connotation. At present, the research on this painting is mainly about character discrimination and painting appreciation. There are few studies involving the costumes in this painting. With the rapid development of digital clothing technology, it provides a new way and path for the restoration of ancient costumes. Based on the costume archaeology of Spring Outing Painting of Madam Guo, this paper uses 3D virtual simulation and reverse engineering technology to restore the costume style of the characters in the picture, realize the digital restoration and protection of the style drawing, paper pattern, and 3D simulation drawing of the characters’ costumes in the picture. Finally, we introduce the fuzzy analytic hierarchy process (FAHP) to comprehensively evaluate the costume restoration effect. Our proposed method solves the problem of the constraints of time and space on the presentation of ancient traditional costumes, promotes the excellent historical culture of China, and provides a certain reference for the modern redesign of ancient costumes.

From Recurrent Education to Lifelong Learning for All——Review on the Evolvement of Lifelong Learning Strategies of OECD

Abstract: OECD is an important force to promote global lifelong learning development.Since the 1970s,its lifelong learning strategy has been evolving from recurrent education to lifelong learning for all.State,market and civil society are the main contributing factors to this evolution,and they are interrelated but with variation.Moreover,the evolution shows the enrichment of strategy connotation and goal,the diversity of strategy approach,and the wide range of strategy influence.

The semantic prosody analysis of ‘increase’ in covid-19: a corpus-based study

Abstract: Increase is a neutral word that is generally perceived as a positive word, were synonymous with positive words such as rise, grow, expand. However, when resorting to dictionary definitions, increase has been found to possess negative words such as 'increase the violence'. This study investigates how 'increase', generally often categorized with positive words, interacts with neighboring words to achieve particular meanings and how particular forms of several words can change a word to negative, positive and neutral connotation. This study is analyzed on a descriptive qualitative research design because corpus linguistic research needs to be interpreted more with qualitative considerations. The data are collected using a corpus-based approach, Covid-19 corpora, and the data analysis using semantic prosody based on Stubbs's (1998) theory. The result of the data showed that word increase in Covid-19 corpora have negative meaning if it is collocated with several word such as risk, rate, levels, number, significantly and associated and followed by negative word but it will have positive meaning if it is located with word expression.

Research on Network Information Security and Privacy Protection in the Age of Big Data

Abstract: The rapid development of big data has brought more problems in network information security and privacy protection. This paper will study the specific network information security and privacy protection technologies in this context. The first part of this paper firstly discusses the connotation and characteristics of big data, and then puts forward the information security and privacy protection problems in the era of big data. The last part deeply studies how to solve the solutions corresponding to these problems.