Image design and interaction technology based on Fourier inverse transform

As one of the main directions of applied mathematics research, inverse Fourier transform (FT) has been widely used in image speech analysis and other fields in recent decades of development. FT is the basic content of digital image processing technology. In practical analysis, image design and interaction can be realised by using time-space domain and frequency domain, which can accurately obtain image information characteristics and achieve the expected application goals. In this paper, based on the understanding of FT and inverse transform, an improved algorithm is used to lay the foundation for the realisation of image design and interactive technology.

Gender Differences in the Effect of Type, Level and Amount of Information on Attention Ability among Saudi High School Students

Boredom has been considered as a significant and prevalent among students in the classroom. Research indicates the necessity to tackle the negative consequences of these important and pervasive academic emotions. Despite the plethora of studies investigating the psychological effect on attention ability, far fewer have considered gender as a moderator of the effect of information characteristics on students’ attention ability. Thus, the purpose of this study is to look at gender disparities in the impact of type, level, and amount of information on students' attention capacity. Based on the Guilford structure-of-intellect (SI) model, forty tests were designed and validated to gather and analyse the data. The participants of the study were 60 high school students (level 10 and 11) from the Al-Qunfudah district. An equal number of male and female participants were selected randomly. Type of information represented in semantic and symbolic, the level of information represented in units, cases, relations, while the amount of information was represented in (5,7,9) based on Miller model. Data was collected using newly developed and verified tests. Independent t-test studies revealed no significant variations in the type, level, and amount of information on students' attention skills among male and female students. Several discussions were drawn in light of the findings. Suggestions and recommendations were presented.

A Study on the Sustainable Use Intention of Restaurant Companies Using the Information Attributes of SNS: The Dual Process Theory

This study was conducted to define detailed factors by combining the factors of SNS (social network services) information attributes and dual processing process theory and to investigate the relationship between customer satisfaction, brand attitude, and sustainable use intention. An empirical analysis was conducted using data collected from 361 participants who have experience in SNSs for searching for restaurant information. The major results are as follows: First, two intuitive SNS information attributes (reliability and liveliness) and two analytical attributes (usefulness and conciseness) have a significant positive influence on customer satisfaction to use an SNS. In particular, the reliability was the most significant antecedent of the SNS information attributes in this study. In addition, the current study verified the significant relationships among customer satisfaction, brand attitude, and sustainable use intention. Based on these research results, it was verified that SNS information characteristics are important attributes in eliciting customer satisfaction, attitude toward the brand, and sustainable use intention from customers. This study will contribute to providing various practical implications to establish valuable marketing strategies.

Research on Influencing Factors of Government Affairs Short Video

Under the background of the rapid development of the mobile Internet, since 2016, many short video platforms are constantly emerging and become one of the most popular social media today, and accumulate a large number of users. Furthermore, government departments opened government affairs TikTok accounts one after another under the background of growth spurt of the number of short videos. Taking the TikTok short video as an example, in this paper, according to the relevant data of government affairs TikTok account and 197 questionnaires, linear regression analysis is used to conduct research from the four aspects: social and economic environment, use feedback, information gap, and information characteristics, explore the public use condition and influencing factors for government affairs TikTok a at present in the hope of providing constructive suggestions for the optimization and development of government affairs short video. The study found that the penetration and utilization rate of government affairs short video is low, and the respondents who follow government affairs in the form of short videos are less than 20%.