S-Aframe: Agent-Based Multilayer Framework With Context-Aware Semantic Service for Vehicular Social Networks

Hu, Xiping; Zhao, Jidi; Seet, Boon‐Chong; Leung, Victor C. M.; Chu, Terry H. S.; Chan, Henry C. B.

doi:10.1109/tetc.2015.2395959

Cited by 40 publications

(24 citation statements)

References 30 publications

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“…Hu et al [55] presented s-frame, a framework for social vehicular networks formed by in-vehicle or mobile equipment used by passengers, vulnerable road users and drivers that supports high-level context-aware applications.…”

Section: Vehicle Context-awarenessmentioning

confidence: 99%

Social Internet of Vehicles for Smart Cities

Μαγλαράς

Al-Bayatti

et al. 2016

JSAN

134

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Digital devices are becoming increasingly ubiquitous and interconnected. Their evolution to intelligent parts of a digital ecosystem creates novel applications with so far unresolved security issues. A particular example is a vehicle. As vehicles evolve from simple means of transportation to smart entities with new sensing and communication capabilities, they become active members of a smart city. The Internet of Vehicles (IoV) consists of vehicles that communicate with each other and with public networks through V2V (vehicle-to-vehicle), V2I (vehicle-to-infrastructure) and V2P (vehicle-to-pedestrian) interactions, which enables both the collection and the real-time sharing of critical information about the condition on the road network. The Social Internet of Things (SIoT) introduces social relationships among objects, creating a social network where the participants are not humans, but intelligent objects. In this article, we explore the concept of the Social Internet of Vehicles (SIoV), a network that enables social interactions both among vehicles and among drivers. We discuss technologies and components of the SIoV, possible applications and issues of security, privacy and trust that are likely to arise.

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Section: Vehicle Context-awarenessmentioning

confidence: 99%

Social Internet of Vehicles for Smart Cities

Μαγλαράς

Al-Bayatti

et al. 2016

JSAN

134

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“…Multithreaded programming used much existing system-level code such as device drivers, operating system, and distributed computing. The mobile crowdsourcing networks [7,8] distribute tasks and collect the results and must make sure safely access for the shared data. Therefore, it is important to verify the safety properties for multithreaded programs.…”

Section: Introductionmentioning

confidence: 99%

An SAT‐Based Method to Multithreaded Program Verification for Mobile Crowdsourcing Networks

Zhang

Huo

et al. 2018

Wireless Communications and Mobile Computing

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This paper focused on the safety verification of the multithreaded programs for mobile crowdsourcing networks. A novel algorithm was proposed to find a way to apply IC3, which is typically the fastest algorithm for SAT-based finite state model checking, in a very clever manner to solve the safety problem of multithreaded programs. By computing a series of overapproximation reachability, the safety properties can be verified by the SAT-based model checking algorithms. The results show that the new algorithm outperforms all the recently published works, especially on memory consumption (an advantage that comes from IC3).

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“…Recent advances in microelectromechanical systems (MEMS) have led to the rapid development of microsensors [3,4]. Correlations among the data representing an event are usually reflected in multiple measurements at different locations [5,6]. The 2 Mobile Information Systems acquisition of electroencephalogram, electromyography, and other biological signals have become a hot research topic in the field of human-machine interaction owing to their quick response [6,7].…”

Section: Introductionmentioning

confidence: 99%

“…Correlations among the data representing an event are usually reflected in multiple measurements at different locations [5,6]. The 2 Mobile Information Systems acquisition of electroencephalogram, electromyography, and other biological signals have become a hot research topic in the field of human-machine interaction owing to their quick response [6,7]. However, the measurement of biological signals involves poor robustness because of their low frequency, weak amplitude, and low signal-to-noise ratio [8].…”

Section: Introductionmentioning

confidence: 99%

Design and Voluntary Motion Intention Estimation of a Novel Wearable Full-Body Flexible Exoskeleton Robot

Chen

Wang

Liu

et al. 2017

Mobile Information Systems

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The wearable full-body exoskeleton robot developed in this study is one application of mobile cyberphysical system (CPS), which is a complex mobile system integrating mechanics, electronics, computer science, and artificial intelligence. Steel wire was used as the flexible transmission medium and a group of special wire-locking structures was designed. Additionally, we designed passive joints for partial joints of the exoskeleton. Finally, we proposed a novel gait phase recognition method for full-body exoskeletons using only joint angular sensors, plantar pressure sensors, and inclination sensors. The method consists of four procedures. Firstly, we classified the three types of main motion patterns: normal walking on the ground, stair-climbing and stair-descending, and sit-to-stand movement. Secondly, we segregated the experimental data into one gait cycle. Thirdly, we divided one gait cycle into eight gait phases. Finally, we built a gait phase recognition model based on -Nearest Neighbor perception and trained it with the phase-labeled gait data. The experimental result shows that the model has a 98.52% average correct rate of classification of the main motion patterns on the testing set and a 95.32% average correct rate of phase recognition on the testing set. So the exoskeleton robot can achieve human motion intention in real time and coordinate its movement with the wearer.

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S-Aframe: Agent-Based Multilayer Framework With Context-Aware Semantic Service for Vehicular Social Networks

Cited by 40 publications

References 30 publications

Social Internet of Vehicles for Smart Cities

Social Internet of Vehicles for Smart Cities

An SAT‐Based Method to Multithreaded Program Verification for Mobile Crowdsourcing Networks

Design and Voluntary Motion Intention Estimation of a Novel Wearable Full-Body Flexible Exoskeleton Robot

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