A5073189977- IoT and Edge/Fog Computing
- Caching and Content Delivery
- Advanced Wireless Communication Technologies
- Functional Brain Connectivity Studies
- Schizophrenia research and treatment
- Neuroscience and Music Perception
- Software-Defined Networks and 5G
- IoT Networks and Protocols
- Spam and Phishing Detection
- Privacy-Preserving Technologies in Data
- Opportunistic and Delay-Tolerant Networks
- Digital Transformation in Industry
- Blockchain Technology Applications and Security
- Web Data Mining and Analysis
- Cooperative Communication and Network Coding
- Text and Document Classification Technologies
Peking University Shenzhen Hospital
2021-2024
Peng Cheng Laboratory
2024
Nanjing Brain Hospital
2022
Nanjing Medical University
2022
City University of Macau
2020-2021
University of Macau
2020-2021
University of Electronic Science and Technology of China
2017
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key approaches for enabling computation-intensive yet delay-sensitive services in future industrial Internet Things (IoT). In this article, we exploit nonorthogonal multiple access (NOMA) computation offloading MA-MEC and propose a joint optimization multiaccess multitask offloading, NOMA transmission, computation-resource allocation, with objective minimizing total energy consumption IoT device to complete its...
Edge computing has been considered as one of the key paradigms in fifth-generation (5G) networks for enabling computation-intensive yet latency-sensitive vehicular Internet services. In this paper, we investigate non-orthogonal multiple access (NOMA) assisted edge via underlay spectrum sharing, which computing-users (VUs) form a NOMA-group and reuse conventional cellular user's (CU's) channel computation offloading. spite benefit resulting co-channel interference degrades CU's transmission....
Mobile edge computing (MEC) and digital twin (DT) technologies have been recognized as key enabling factors for the next generation of industrial Internet Things (IoT) applications. In existing works, DT-assisted network resource optimization solutions mostly focus on short-term performance optimization, long-term has not well studied. Thus, this paper introduces a twin-assisted heterogeneous (DTHEN), aiming to minimize energy consumption by jointly optimizing transmit power resource. To...
Thanks to the wide deployment of heterogeneous radio access networks (RANs) in past decades, emerging paradigm multi-access mobile edge computing, which allows terminals simultaneously offload computation-workloads several different edge-computing servers via multi-RANs, has provided a promising scheme for enabling computation-intensive Internet services future wireless systems. The broadcasting nature transmission, however, may lead potential secrecy-outage during offloading transmission....
The current study aimed to examine the cognitive profiles and cortical structural alterations in first-episode drug-naïve schizophrenia with AVH (auditory verbal hallucination). Cortical parameters including thickness local gyrification index (LGI) estimated using FreeSurfer as well performance assessed on MATRICS Consensus Cognitive Battery (MCCB) were acquired from 78 patients AVH, 74 without (non-AVH), 76 healthy controls (HC). Hoffman Auditory Hallucination Rating Scale (HAHRS) was...
With the rapid development of information technology, concept big data is used in collection on different things, especially for text classification. This paper propose an improved KNN algorithm based clustering automatic classification Web text. In addition, we find a new method to out which same category belongs cluster. Finally, classify automatically and test them by using existing respectively. Simulation results show that can significantly raise accuracy
Dataset synchronization is a basic communication requirement for distributed applications such as multi-user chat, file transfer, and collaborative work. Named Data Networking (NDN) content-centric network architecture that forwards the content based on name of content. NDN an important evolutionary direction future networks. Various protocols have been developed in to support dataset applications, ChronoSync, PSync, VectorSync. These generally problem limited application scenarios cannot...