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检索条件"机构=Key Laboratory for Embedded and Network Computing"
112 条 记 录,以下是41-50 订阅
排序:
Routing Strategy for SDN Large Flow Based on Deep Reinforcement Learning
Routing Strategy for SDN Large Flow Based on Deep Reinforcem...
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Yu Ke Junli Wang Chungang Yan Jiamin Yao Key Laboratory of Embedded System and Service Computing Collaborative Innovation Center for Financial Network Security (Tongji University) Ministry of Education National (Province-Ministry Joint) Tongji University Shanghai China
With the expansion of network scale, traditional routing strategies in Software-Defined networking (SDN) have difficulty adapting to fast traffic variability. The large flow in the network occupies 80% of the network ... 详细信息
来源: 评论
A Dual-stage Attention Based SDN Traffic Prediction Method
A Dual-stage Attention Based SDN Traffic Prediction Method
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IEEE International Conference on Big Data and Cloud computing (BdCloud)
作者: Chenjing Gao Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Traffic matrix is the main research object of traffic prediction in software-defined networking. Accurate and timely traffic matrix prediction plays an important role in avoiding network congestion. While various meth... 详细信息
来源: 评论
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-label Text Classification
LAMPT: LAbel Mask-Predicted Transformer for Extreme Multi-la...
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IEEE International Conference on Big Data
作者: Yifan Xu Minghao Zhu Junli Wang Chungang Yan Key Laboratory of Embedded System and Service Computing (Tongji University) Ministry of Education. National (Province-Ministry Joint) Collaborative Innovation Center for Financial Network Security Tongji University Shanghai China
Extreme Multi-label text Classification ( XMC) is a task of recalling the most relevant labels for each given text from an extremely large-scale label set. It is emphasized that XMC is a more complex classification ta... 详细信息
来源: 评论
Energy allocation for activity recognition in wearable devices with kinetic energy harvesting
Energy allocation for activity recognition in wearable devic...
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作者: Xiao, Ling Meng, Yu Tian, Xiaobing Luo, Haibo College of Computer Science and Electronic Engineering Hunan University Changsha China College of Computer Science Guangdong University of Science And Technology Dongguan China Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University Changsha China College of Computer and Control Engineering Minjiang University Fujian China
Harvesting kinetic energy from body movement is regarded as a promising rechargeable energy source for wearable devices with low-power. Energy allocation is essential for motion-based rechargeable devices since the gr... 详细信息
来源: 评论
Effcient poisoning attacks and defenses for unlabeled data in DDoS prediction of intelligent transportation systems
Security and Safety
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Security and Safety 2022年 第1期1卷 145-165页
作者: Zhong Li Xianke Wu Changjun Jiang College of Information Science and Technology Donghua UniversityShanghai 201620China Key Laboratory of the Ministry of Education for Embedded System and Service Computing Department of Computer ScienceTongji UniversityShanghai 201804China Shanghai Network Financial Security Collaborative Innovation Center Tongji UniversityShanghai 201804China
Nowadays,large numbers of smart sensors(e.g.,road-side cameras)which com-municate with nearby base stations could launch distributed denial of services(DDoS)attack storms in intelligent transportation *** attacks disa... 详细信息
来源: 评论
Monocular Camera-Based Visual Truck Type Recognition
SSRN
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SSRN 2024年
作者: Luo, Haibo Ye, Huaisheng Feng, Chao Shi, Xin Xie, Guoqi School of Computer and Data Science Minjiang University Fuzhou350018 China College of Computer and Data Science Fuzhou University Fuzhou350018 China College of Network and Information Security Fujian Agriculture and Forestry University Fuzhou350018 China Key Laboratory for Embedded and Network Computing of Hunan Province College of Computer Science and Electronic Engineering Hunan University Changsha410082 China College of Computer Science and Electronic Engineering Hunan University Changsha410082 China
Truck overload and over-limit are the primary causes of infrastructure damage and traffic safety accidents. In the past 2 years, researchers have started to deploy intelligent Internet of Things system at the source o... 详细信息
来源: 评论
Software defined edge computing for distributed management and scalable control in IoT multinetworks
arXiv
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arXiv 2021年
作者: Wu, Di Nie, Xiang Deng, Hanhui Qin, Zhijin Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University China School of Electronic Engineering and Computer Science Queen Mary University of London United Kingdom
Recently, edge computing has emerged as a promising paradigm to support mobile access in IoT multinetworks. However, coexistence of heterogeneous wireless communication schemes brings about new challenges to the mobil... 详细信息
来源: 评论
STURE: Spatial-Temporal Mutual Representation Learning for Robust Data Association in Online Multi-Object Tracking
arXiv
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arXiv 2022年
作者: Wang, Haidong Li, Zhiyong Li, Yaping Nai, Ke Wen, Ming College of Computer Science Electronic Engineering of Hunan University Key Laboratory for Embedded and Network Computing of Hunan Province Hunan Province Changsha410082 China State Grid Hunan Electric Power Company Limited Economical Technical Research Institute Hunan Key Laboratory of Energy Internet Supply-demand and Operation Hunan Province Changsha410000 China
Online multi-object tracking (MOT) is a longstanding task for computer vision and intelligent vehicle platform. At present, the main paradigm is tracking-by-detection, and the main difficulty of this paradigm is how t... 详细信息
来源: 评论
Software-Defined Edge computing: A New Architecture Paradigm to Support IoT Data Analysis
arXiv
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arXiv 2021年
作者: Wu, Di Xie, Xiaofeng Nie, Xiang Fu, Bin Deng, Hanhui Zeng, Haibo Qin, Zhijin Key Laboratory for Embedded and Network Computing of Hunan Province Hunan University China Department of Electrical and Computer Engineering Virginia Tech United States EECS Queen Mary University of London United Kingdom
—The rapid deployment of Internet of Things (IoT) applications leads to massive data that need to be processed. These IoT applications have specific communication requirements on latency and bandwidth, and present ne... 详细信息
来源: 评论
Multi-Label Learning Based on Transfer Learning and Label Correlation
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Computers, Materials & Continua 2019年 第7期61卷 155-169页
作者: Kehua Yang Chaowei She Wei Zhang Jiqing Yao Shaosong Long College of Computer Science and Electronic Engineering and Key Laboratory for Embedded and Network Computing of Hunan Province Hunan UniversityChangsha410082China Oath Verizon Company ManhattanNew York10007USA
In recent years,multi-label learning has received a lot of ***,most of the existing methods only consider global label correlation or local label *** fact,on the one hand,both global and local label correlations can a... 详细信息
来源: 评论