Federated Vehicular Transformers and Their Federations: Privacy-Preserving Computing and Cooperation for Autonomous Driving

Tian

IEEE Trans. Syst. Man Cybern, Syst.

et al. 2023

Self Cite

Industrial processes are typical cyber-physicalsocial systems (CPSSs), where the effective management of employees and the efficient control of machines play important roles. Traditional industries heavily rely on human labor and neglect the development of collection-utilization-transmission integrated information loops, thereby leading to high costs and low efficiency in operational procedures. To facilitate the natural interactions and smart operations for humans and machines, industrial foundation models (IFMs) based on metaverses are proposed in this article, serving as the operating systems of industrial parallel machines that provide sustainable data resources and scenarios for management and control experiments. On this basis, IFM comprised of vision foundation models, language foundation models, as well as operational foundation models, are constructed to manage resources in industrial parallel machines and provides comprehensive services for industrial procedures. On the one hand, IFM can efficiently manage various resources including computing power, digital assets, enterprise resources, and platform I/O via the proposed CPSS-based competing, sharing, scheduling, monitoring, allocating, and recovering mechanisms. On the other hand, imaginative intelligence, linguistic intelligence, and algorithmic intelligence can be achieved through vivid visualization of vision foundation models, natural conversations of language foundation models, and smart manipulation of operational foundation models. With the proposed IFM, cyberphysical-social intelligence (CPSI) can be achieved to enhance the efficient management and control of industrial processes.

Section: Operational Procedures Of Ifmmentioning

confidence: 99%

A Framework and Operational Procedures for Metaverses-Based Industrial Foundation Models

Tian

IEEE Trans. Syst. Man Cybern, Syst.

et al. 2023

Self Cite

“…Considering that Transformer models have long-range dependence and dynamic modeling ability [25], we utilize them to build the inspection models for quality evaluation. With the massive data in metaverses, the proposed Quality Transformers can be designed with a large capacity to increase the representation ability and generate foundation models [26].…”

Section: Metaversesmentioning

confidence: 99%

Integrated Inspection of QoM, QoP, and QoS for AOI Industries in Metaverses

Tian

IEEE/CAA J. Autom. Sinica

et al. 2022

Self Cite

Briefing: With the rapid development of information technologies such as digital twin, extended reality, and blockchain, the hype around "metaverse" is increasing at astronomical speed. However, much attention has been paid to its entertainment and social functions. Considering the openness and interoperability of metaverses, the market of quality inspection promises explosive growth. In this paper, taking advantage of metaverses, we first propose the concept of Automated Quality Inspection (AutoQI), which performs integrated inspection covering the entire manufacturing process, including Quality of Materials, Quality of Manufacturing (QoM), Quality of Products, Quality of Processes (QoP), Quality of Systems, and Quality of Services (QoS). Based on the scenarios engineering theory, we discuss how to perform interactions between metaverses and the physical world for virtual design instruction and physical validation feedback. Then we introduce a bottomup inspection device development workflow with productivity tools offered by metaverses, making development more effective and efficient than ever. As the core of quality inspection, we propose Quality Transformers to complete detection task, while federated learning is integrated to regulate data sharing. In summary, we point out the development directions of quality inspection under metaverse tide.

2002 Annual Conference Proceedings

“…This approach helps to effectively obscure vehicle locations, although some data distortions may be introduced due to the added noise. Transformers in federated learning, as discussed in [174], enhance privacy in autonomous driving by sharing only essential data features across networks. This method improves privacy but faces challenges with communication link stability and external interference.…”

Section: E Network Coverage and Peer-to-peer Communicationmentioning

confidence: 99%

“…This system employs self-attention mechanisms to analyze Controller Area Network (CAN) messages, accurately classifying them into various in-vehicle attacks like denial-of-service, spoofing, and replay attacks. Another transformer-based model proposed by the authors in [174] is the integration of transformers in federated learning setups. This method enables the sharing of key data features rather than raw data across a network of autonomous vehicles.…”

Section: E Network Coverage and Peer-to-peer Communicationmentioning

confidence: 99%

See 1 more Smart Citation

A Study Of Civil Engineering Education At Singapore Nanyang Technology University And At The University Of Florida

Liu¹,

Najafi²

offer civil engineering courses to undergraduate and graduate students. This paper discusses and compares Civil Engineering curriculum in both Universities. The Civil Engineering courses at the University of Florida are divided into two phases of general education and upper division/civil engineering core education. At Nanyang Technology University, the Civil Engineering offers courses of a prescribed core of essential subjects and both institutions offer excellent program of study. The Civil Engineering program at Nanyang Technology University offers courses closely related to industry and government needs. Similarly, at the University of Florida, Civil Engineering program also offers excellent education program in line with government and industries needs. At both institutions, efforts should be focused on revising curriculum that is more responsible to existing and future rapid technological changes.