In order to meet the diversified visual aesthetic needs of the public, this paper constructs a digital visual model based on art history theory. Firstly, the SIFT algorithm is used to extract the art scene feature points, and the convolution operation is carried out by Gaussian function to form a three-dimensional scale space. Then the system reconstruction technology is applied to realize the reconstruction of digital images, and the completeness of the reconstructed images is ensured by setting visual symbols. Finally, texture segmentation is performed by combining pixel difference features, and according to the dynamic distribution of the corner points of the art scene, the local binary fitting method is used for the information enhancement and restoration processing of the art image. The results show that the drawing time of the model in this paper is always kept within 4s, and the completeness of the images all reach more than 99%, and the highest clarity can reach 0.99. It is verified that under the guidance of the art history theory, the attributes of the digitized visual culture have been innovated, and the art space has been expanded.
This study investigates the role of psychological contract fulfillment as a mediator between worker performance and organizational citizenship behavior. The psychological contract encompasses the reciprocal anticipations and responsibilities that exist between employees and the company. Worker performance encompasses the manner in which employees carry out their job duties and accomplish performance objectives. Organizational citizenship behavior, being an optional habit, can significantly enhance employee performance beyond the formal job expectations. The study will be conducted within a specific organizational context, and data will be collected through a survey given to the academic and administrative staff at seven universities in Saudi Arabia. The hypotheses will be tested and the mediating role of organizational citizenship behavior will be explored through statistical studies, including mediation analysis. The results will contribute to a more comprehensive comprehension of the impact of psychological contract fulfillment on worker performance through corporate citizenship behavior, offering valuable insights for firms aiming to improve employee performance.
In this paper, the elite TLBO algorithm is utilized to integrate modern vocal music teaching with traditional music culture, and a feedback phase is introduced to improve the algorithm's optimization accuracy and stability. An intelligent teaching framework is constructed to integrate the integration of different forms and repertoire of traditional music, as well as the integration of phonetics and phonological systems. Artificial intelligence is integrated with modern sound teaching through traditional music culture, and an experimental test and satisfaction survey is conducted in a university as an example. The results show that the percentage of students' time spent on independent learning outside the classroom rises rapidly from 51% to 77%, while on the contrary the percentage of time invested in entertainment decreases from 26.6% to 11.5%. Satisfaction surveys of teachers using the application as well as students were conducted, with all six evaluation components scoring above 9.0. The study shows that the teaching mode of integrating traditional music culture in modern intelligent teaching can enhance the students' vocal skill ability, which in turn improves the students' vocal art quality and improves the overall level of vocal music teaching.
This paper presents an innovative immersive digital cultural communication system focusing on local language and culture. Utilizing virtual reality technology, the artistic, historical and linguistic elements of local culture are transformed into a digital format, which breaks through the limitations of traditional linear information dissemination and realizes two-way interaction. Users were involved in the creation and dissemination of information, and a comprehensive immersive technology platform was also constructed through a multi-stage planning, design, implementation and feedback loop. The results show that the Mongolian language user engagement was 70%, the lowest of all the regions studied. The Hmong language system demonstrated good stability with an operational stability score of 4.4. The Tibetan language users' satisfaction with the system was as high as 42 points, showing a high level of overall satisfaction with the system. It not only confirms the current effectiveness of the system, but also is of great significance in promoting immersive digital communication of local languages and cultures.
In order to explore the connection between food culture and regional characteristics in ancient literature, a text clustering model is used to bring together literary works with similar food culture descriptions. First, selection criteria such as era, region, and author's social background are set. Then, the works are iteratively assigned to the closest cluster centers by the K-Means algorithm, and these cluster centers are continuously updated to find the best clustering results. In the text preprocessing stage, keywords related to food culture were extracted from each work to form a basic feature set. Finally, the K-Means algorithm is used to identify food culture themes with different regional characteristics. The entropy values of the text clustering model are 92.85 and 72.6, which reveal the common dietary elements of the literary works in each cluster and reflect the close relationship between regional characteristics and dietary habits.
