57 research outputs found
Edge Computing for Semantic Communication Enabled Metaverse: An Incentive Mechanism Design
Semantic communication (SemCom) and edge computing are two disruptive
solutions to address emerging requirements of huge data communication,
bandwidth efficiency and low latency data processing in Metaverse. However,
edge computing resources are often provided by computing service providers and
thus it is essential to design appealingly incentive mechanisms for the
provision of limited resources. Deep learning (DL)- based auction has recently
proposed as an incentive mechanism that maximizes the revenue while holding
important economic properties, i.e., individual rationality and incentive
compatibility. Therefore, in this work, we introduce the design of the DLbased
auction for the computing resource allocation in SemComenabled Metaverse.
First, we briefly introduce the fundamentals and challenges of Metaverse.
Second, we present the preliminaries of SemCom and edge computing. Third, we
review various incentive mechanisms for edge computing resource trading.
Fourth, we present the design of the DL-based auction for edge resource
allocation in SemCom-enabled Metaverse. Simulation results demonstrate that the
DL-based auction improves the revenue while nearly satisfying the individual
rationality and incentive compatibility constraints.Comment: 7 pages, 5 figure
DIFFICULTIES WITH WORD CHOICE IN ACADEMIC WRITING AND SOLUTIONS: A RESEARCH ON ENGLISH-MAJORED STUDENTS AT CAN THO UNIVERSITY, VIETNAM
Writing, especially academic writing, is highly valued in foreign language acquisition, particularly for English majors. Nevertheless, using academic terminology might be difficult for students still developing their academic language abilities. The purpose of this research is to understand students' difficulties in selecting appropriate words in academic writing and offer solutions to overcome such difficulties. The participants were 78 English majors (high-quality program, course 45) and three lecturers at the Department of English Language and Culture, School of Foreign Languages, Can Tho University. Questionnaires were used to measure their difficulties in word choice in academic writing and semi-structured interviews were utilized to find solutions. The results show that most participants had a basic knowledge of academic vocabulary, which was demonstrated through their ability to select the appropriate word choice. However, students found it difficult to choose the right words in their academic writing. The reasons are that academic words are not easy to remember and not successfully used in the context of the meaning of the word and do not have an effective method of learning academic vocabulary. Based on the results, several specific approaches have been proposed to help students find the most suitable strategies for learning and using academic vocabulary for their writing. Article visualizations
Blockchain for the metaverse: A Review
Since Facebook officially changed its name to Meta in Oct. 2021, the metaverse has become a new norm of social networks and three-dimensional (3D) virtual worlds. The metaverse aims to bring 3D immersive and personalized experiences to users by leveraging many pertinent technologies. Despite great attention and benefits, a natural question in the metaverse is how to secure its users’ digital content and data. In this regard, blockchain is a promising solution owing to its distinct features of decentralization, immutability, and transparency. To better understand the role of blockchain in the metaverse, we aim to provide an extensive survey on the applications of blockchain for the metaverse. We first present a preliminary to blockchain and the metaverse and highlight the motivations behind the use of blockchain for the metaverse. Next, we extensively discuss blockchain-based methods for the metaverse from technical perspectives, such as data acquisition, data storage, data sharing, data interoperability, and data privacy preservation. For each perspective, we first discuss the technical challenges of the metaverse and then highlight how blockchain can help. Moreover, we investigate the impact of blockchain on key-enabling technologies in the metaverse, including Internet-of-Things, digital twins, multi-sensory and immersive applications, artificial intelligence, and big data. We also present some major projects to showcase the role of blockchain in metaverse applications and services. Finally, we present some promising directions to drive further research innovations and developments toward the use of blockchain in the metaverse in the future
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
Recent technological advancements have considerately improved healthcare
systems to provide various intelligent healthcare services and improve the
quality of life. Federated learning (FL), a new branch of artificial
intelligence (AI), opens opportunities to deal with privacy issues in
healthcare systems and exploit data and computing resources available at
distributed devices. Additionally, the Metaverse, through integrating emerging
technologies, such as AI, cloud edge computing, Internet of Things (IoT),
blockchain, and semantic communications, has transformed many vertical domains
in general and the healthcare sector in particular. Obviously, FL shows many
benefits and provides new opportunities for conventional and Metaverse
healthcare, motivating us to provide a survey on the usage of FL for Metaverse
healthcare systems. First, we present preliminaries to IoT-based healthcare
systems, FL in conventional healthcare, and Metaverse healthcare. The benefits
of FL in Metaverse healthcare are then discussed, from improved privacy and
scalability, better interoperability, better data management, and extra
security to automation and low-latency healthcare services. Subsequently, we
discuss several applications pertaining to FL-enabled Metaverse healthcare,
including medical diagnosis, patient monitoring, medical education, infectious
disease, and drug discovery. Finally, we highlight significant challenges and
potential solutions toward the realization of FL in Metaverse healthcare.Comment: Submitted to peer revie
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