Guangxi Open University

In the Internet of Vehicles (IoV), connected vehicles generate high-load perception tasks with large-scale and multimodal sensitive data, imposing strict requirements on latency, computing, and privacy. Existing solutions still suffer from high task service latency and privacy risks. To address these issues, this paper proposes an integrated framework that jointly considers multi-flow task offloading, adaptive privacy preservation, and latency-aware resource incentive mechanism. Specifically, we propose a Location-Aware and Trust-based (LA-Trust) dual-node task offloading algorithm based on deep reinforcement learning (DRL), which treats pre-partitioned subtasks as multiple parallel flows and enables flow-level collaborative offloading optimization across neighboring nodes, allows subtask data uploading and processing to proceed concurrently, and incorporates node security into decision making. To further enhance privacy protection, a Distribution-Aware Local Differential Privacy (DA-LDP) algorithm is designed to adaptively inject artificial noise according to data heterogeneity, balancing privacy protection and task execution accuracy. In addition, a Delay-Cost Reverse Auction (DC-RA) algorithm is proposed to further reduce latency by introducing wireless channel modeling between idle vehicles and edge nodes into the incentive mechanism. Experimental results show that the proposed framework improves task execution accuracy by 38% and reduces offloading cost, delay, incentive cost, and auction communication latency by 64.41%, 64.64%, 19%, and 44%, respectively, while more than 60% of tasks are offloaded to high-trust nodes.

In recent years, there has been a notable increase in the demand for feminist discourse. Furthermore, the subject of how to portray women in television dramas has also become a topic of public interest. The Korean drama ‘Reply 1988’, which has gained considerable popularity in recent years, has been identified as a significant contributor to the evolving representation of women in the media. Nevertheless, there is a paucity of research in this area. This study aims to analyse the role of women’s image design in the drama’s success, employing case studies, questionnaires and other methods to collect and investigate the data. This study collects the opinions of Chinese female viewers aged 20-50 on the female image design in Reply 1988. The findings indicate that a well-designed female image can promote the development of the drama and leave a lasting impression on the viewers. The female image design represents the external manifestation of the characters’ personalities and inner activities in the drama. Furthermore, China and South Korea are situated within the same East Asian cultural circle and share a similar cultural background, which also provides a reference point for Chinese dramas. Consequently, the female image design has the potential to enhance the popularity of the drama and exert a significant and enduring influence.

At present, the rapid development of Internet information technology has brought convenience to education and teaching. E-learning based on network has become an important way of learning. However, the traditional E-learning learning environment usually only provides course learning resources by the fixed preset program, which is not friendly to the user's personalized learning experience. Intelligent learning system (ILS) is a support environment that can dynamically provide personalized and intelligent learning services by diagnosing the individual differences of learners' users. It mainly provides current users with suitable learning paths or learning resources via personalized recommendation technology, so as to meet users' learning needs and improve their learning experience. However, the current research on intelligent learning system is still in the exploratory stage. Many researchers have studied intelligent learning system from different perspectives, but their research achievements still need to be explored and improved on the effect of intelligent recommendation. Based on this, this paper will further explore the key technology of personalized recommendation of intelligent learning system on the basis of the related research case analysis. In order to improve the recommendation accuracy of intelligent learning system, we will model and analyze the user behavior characteristics, and further explore the recommendation solution of personalized learning path of the system. The simulation experiment shows that the research results have a good personalized recommendation effect, which can effectively diagnose and analyze the current user's learning state characteristics, and then dynamically provide a suitable personalized learning path to meet the user's learning needs.

Abstract Piano performance represents a refined artistic expression characterized by its expressive and emotive qualities. This study focuses on research papers related to piano performance indexed in the Chinese literature database, utilizing the CiteSpace visualization tool to conduct an analysis. Employing the tool’s capabilities for word frequency, thematic, and cluster analysis, we investigate the temporal and spatial distributions, key terms, research trends, and emergent themes in the literature on piano performance. This multifaceted approach enables a deeper understanding of the developmental stages and overarching trends in the field. Our findings reveal significant shifts in thematic focus and research intensity, with notable increases in themes related to the transformation of piano performance and theoretical exploration post-2017.50, achieving an impact score exceeding 0.425. Prominent emergent keywords include “piano art” (4.9948), “piano certificate” (3.8833), “style” (3.4721), “accompaniment” (3.3155), “piano technique” (2.8888), “piano teaching” (2.6997), “emotional expression” (2.6129), and “intelligence” (2.2193). These findings indicate a trend towards the integration of modern technology and intellectual approaches in piano performance. This study provides a comprehensive overview of the evolution and current trends in piano performance research, offering insights into its future trajectory.

In the digital era, the influence of online media on distance education is increasing, and students' choice of different online media determines the level of distance education teaching services. A questionnaire survey was conducted on 2106 students of Guangxi Open University. By comparing the new m

According to the analysis of the general distribution and research status of Yao ceremonial paintings in Southeast Asia, the United States, Canada, France and other places, this paper explains the cultural functions of overseas Yao ceremonial paintings. It is believed that the ceremonial painting was an important carrier of cultural memory and cultural identity of overseas Yao people. The artistic characteristics and cultural connotation of Yao ritual painting are the most prominent among Yao folk art. The religious beliefs and ideas contained in Yao ritual paintings provide valuable evidence for us to study Yao traditional culture and its connotation. The collection of overseas Yao ritual paintings is also the material carrier of overseas Yao cultural historical memory, religious belief, national emotion maintenance and cultural identity. The Yao sacrificial paintings record the legend of Pan Wang, Long drum, Ox horn, and the historical legend and story of Yao crossing the sea. This study finds that the collection of ritual paintings overseas is not only helpful to explore the life, customs, religious beliefs and other national cultures of the Yao people overseas, but also helpful to explore the changes of the traditional culture of the Yao people overseas.

In the face of the development of new media and the awakening of the audience's awareness of mass art participation, mainstream films with family ethics as the core must seek new ways to tell stories, and renew the narrative mode of cult films, as the genre form of the film at the beginning of its birth, provide comfort to countless audiences who are shackled by the mainstream context and have no place to vent their emotions. The combination of the two has burst into a new audio-visual language and narrative style, which has become the navigation for the new generation of directors to break through the minority and gain mainstream recognition. Through the analysis of the works of director Julia Ducournau,

To solve the challenge of efficient signal processing consider the complex scenarios, this paper proposes the novel classification algorithm of English accent signal based on multi-parameter neural network. In the existing traditional research, most of the processing methods regard the time-varying signal as short-term stationary and linear, and the focus is on the information contained in the time domain and frequency domain, so as to perform signal classification without reference. In this paper, the advantages of neural network in pattern recognition are used, and the relevant parameters are optimized through the theoretical analysis of the “optimal” classification rules. In the designed neural model, the graph features are considered to better extract the features, and then the bagging algorithm is applied to classify the models. Through the experiment compared with the C-4.5, CNNs, PSO and BP, it is evident that the proposed algorithm performs better in classification accuracy aspect.