Search Results - "Kang, Jiawen"
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Consortium Blockchain for Secure Energy Trading in Industrial Internet of Things
Published in IEEE transactions on industrial informatics (01-08-2018)“…In industrial Internet of things (IIoT), peer-to-peer (P2P) energy trading ubiquitously takes place in various scenarios, e.g., microgrids, energy harvesting…”
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Toward Secure Blockchain-Enabled Internet of Vehicles: Optimizing Consensus Management Using Reputation and Contract Theory
Published in IEEE transactions on vehicular technology (01-03-2019)“…In the Internet of Vehicles (IoV), data sharing among vehicles is critical for improving driving safety and enhancing vehicular services. To ensure security…”
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Enabling Localized Peer-to-Peer Electricity Trading Among Plug-in Hybrid Electric Vehicles Using Consortium Blockchains
Published in IEEE transactions on industrial informatics (01-12-2017)“…We propose a localized peer-to-peer (P2P) electricity trading model for locally buying and selling electricity among plug-in hybrid electric vehicles (PHEVs)…”
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Blockchain for Secure and Efficient Data Sharing in Vehicular Edge Computing and Networks
Published in IEEE internet of things journal (01-06-2019)“…The drastically increasing volume and the growing trend on the types of data have brought in the possibility of realizing advanced applications such as…”
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Fusing Blockchain and AI With Metaverse: A Survey
Published in IEEE open journal of the Computer Society (2022)“…Metaverse as the latest buzzword has attracted great attention from both industry and academia. Metaverse seamlessly integrates the real world with the virtual…”
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Federated learning for 6G communications: Challenges, methods, and future directions
Published in China communications (01-09-2020)“…As the 5G communication networks are being widely deployed worldwide, both industry and academia have started to move beyond 5G and explore 6G communications…”
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Exploring Mobile Edge Computing for 5G-Enabled Software Defined Vehicular Networks
Published in IEEE wireless communications (01-12-2017)“…To meet the ever increasing demand of mobile data traffic, 5G enabling technologies are proposed in vehicular networks. Network densification is one of the key…”
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Towards Federated Learning in UAV-Enabled Internet of Vehicles: A Multi-Dimensional Contract-Matching Approach
Published in IEEE transactions on intelligent transportation systems (01-08-2021)“…Coupled with the rise of Deep Learning, the wealth of data and enhanced computation capabilities of Internet of Vehicles (IoV) components enable effective…”
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Distributed Reputation Management for Secure and Efficient Vehicular Edge Computing and Networks
Published in IEEE access (01-01-2017)“…Vehicular edge computing (VEC) is introduced to extend computing capacity to vehicular network edge recently. With the advent of VEC, service providers…”
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Privacy-Preserving Traffic Flow Prediction: A Federated Learning Approach
Published in IEEE internet of things journal (01-08-2020)“…Existing traffic flow forecasting approaches by deep learning models achieve excellent success based on a large volume of data sets gathered by governments and…”
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Deep Anomaly Detection for Time-Series Data in Industrial IoT: A Communication-Efficient On-Device Federated Learning Approach
Published in IEEE internet of things journal (15-04-2021)“…Since edge device failures (i.e., anomalies) seriously affect the production of industrial products in Industrial IoT (IIoT), accurately and timely detecting…”
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A Secure Federated Learning Framework for 5G Networks
Published in IEEE wireless communications (01-08-2020)“…Federated learning (FL) has recently been proposed as an emerging paradigm to build machine learning models using distributed training datasets that are…”
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Joint optimization of service chain caching and task offloading in mobile edge computing
Published in Applied soft computing (01-05-2021)“…Caching and offloading in Mobile Edge Computing (MEC) are hot topics recently. Existing caching strategies at the edge ignore the programming ability of edge…”
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Cooperative Resource Management in Cloud-Enabled Vehicular Networks
Published in IEEE transactions on industrial electronics (1982) (01-12-2015)“…Cloud-enabled vehicular networks are a new paradigm to improve the quality of vehicular services, which have drawn considerable attention in industry and…”
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DFMG decreases angiogenesis to uphold plaque stability by inhibiting the TLR4/VEGF pathway in mice
Published in PloS one (18-04-2024)“…The aim of this study was to elucidate the specific mechanism through which 7-difluoromethoxy-5,4'-dimethoxygenistein (DFMG) inhibits angiogenesis in…”
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MixGroup: Accumulative Pseudonym Exchanging for Location Privacy Enhancement in Vehicular Social Networks
Published in IEEE transactions on dependable and secure computing (01-01-2016)“…Vehicular social network (VSN) is envisioned to serve as an essential data sensing, exchanging and processing platform for the future Intelligent…”
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Location privacy attacks and defenses in cloud-enabled internet of vehicles
Published in IEEE wireless communications (01-10-2016)“…As one of the promising branches of the Internet of Things, the cloud-enabled Internet of Vehicles (CE-IoV) is envisioned to serve as an essential data…”
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Software Defined Energy Harvesting Networking for 5G Green Communications
Published in IEEE wireless communications (01-08-2017)“…Energy and spectrum resources play significant roles in 5G communication systems. In industrial applications in the 5G era, green communications are a great…”
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Identification of a new gene signature for prognostic evaluation in cervical cancer: based on cuproptosis-associated angiogenesis and multi-omics analysis
Published in Cancer cell international (10-01-2024)“…Patients with recurrent or metastatic cervical cancer are in urgent need of novel prognosis assessment or treatment approaches. In this study, a novel…”
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Mathematical Methods and Algorithms for Improving Near-Infrared Tunable Diode-Laser Absorption Spectroscopy
Published in Sensors (Basel, Switzerland) (06-12-2018)“…Tunable diode laser absorption spectroscopy technology (TDLAS) has been widely applied in gaseous component analysis based on gas molecular absorption…”
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