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Auto-GAN: GAN-Based Self-Supervised Collaborative Learning for Robust Spatio-Temporal Trajectory Classification in IoT

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IEEE Internet of Things Journal 2025年

作者： Jia, Jia Li, Linghui Li, Ximing Wang, Ning Cai, Binsi Zhang, Xu Qiu, Pengfei Beijing University of Posts and Telecommunications Key Laboratory of Trustworthy Distributed Computing and Service Ministry of Education Beijing100876 China Research Institute of China Mobile Communications Corporation Beijing100032 China Beijing University of Posts and Telecommunications State Key Laboratory of Networking and Switching Technology Beijing100876 China China Academy of Information and Communications Technology Beijing China Nanjing University School of Electronic Science and Engineering Nanjing210023 China

With the rapid proliferation of crowd mobility data produced by ubiquitous mobile devices equipped with spatial positioning modules, deep neural networks (DNNs) have become widely applied in spatio-temporal trajectory modeling. However, recent studies have shown that DNNs are vulnerable to adversarial examples with strong transferability, which are crafted by introducing small perturbations to original examples but can cause catastrophic mistakes. To mitigate this vulnerability and enhance model robustness, we propose a novel self-supervised collaborative learning framework named Auto-GAN that consists of a generator for automatically learning robust latent features and a discriminator for providing comprehensive guidance to the generator. By leveraging the collaboration between the generator and discriminator, our proposed method significantly improves the denoising performance. Moreover, we combine point-level and feature-level constraints into training processes between original example reconstruction and adversarial example denoising, thereby effectively suppressing the potential "error amplification effect". Extensive experiments conducted on two representative real-world mobility datasets show that our proposed method can significantly enhance the model’s robustness against various adversarial attacks, while preserving the model’s prediction accuracy on original examples. © 2014 IEEE.

关键词： Self-supervised learning

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Mobile Web Augmented Reality in 5G and Beyond:Challenges, Opportunities, and Future Directions

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China Communications 2019年第9期16卷 141-154页

作者： Xiuquan Qiao Pei Ren Guoshun Nan Ling Liu Schahram Dustdar Junliang Chen State Key Laboratory of Networking and Switching Technology Beijing University of Posts and TelecommunicationsBeijing 100876China College of Computing Georgia Institute of TechnologyAtlantaGA 30332USA Distributed Systems Group TU Wien1040 ViennaAustria

The popularity of wearable devices and smartphones has fueled the development of Mobile Augmented Reality(MAR),which provides immersive experiences over the real world using techniques,such as computer vision and deep ***,the hardware-specific MAR is costly and heavy,and the App-based MAR requires an additional download and installation and it also lacks cross-platform *** limitations hamper the pervasive promotion of *** paper argues that mobile Web AR(MWAR)holds the potential to become a practical and pervasive solution that can effectively scale to millions of end-users because MWAR can be developed as a lightweight,cross-platform,and low-cost solution for end-to-end delivery of *** main challenges for making MWAR a reality lie in the low efficiency for dense computing in Web browsers,a large delay for real-time interactions over mobile networks,and the lack of *** good news is that the newly emerging 5G and Beyond 5G(B5G)cellular networks can mitigate these issues to some extent via techniques such as network slicing,device-to-device communication,and mobile edge *** this paper,we first give an overview of the challenges and opportunities of MWAR in the 5G *** we describe our design and development of a generic service-oriented framework(called MWAR5)to provide a scalable,flexible,and easy to deploy MWAR *** evaluate the performance of our MWAR5 system in an actually deployed 5G trial network under the collaborative configurations,which shows encouraging ***,we also share the experiences and insights from our development and deployment,including some exciting future directions of MWAR over 5G and B5G networks.

关键词： 5G edge computing augmentedreality mobile augmented reality Web augmentedreality

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A 2-stage strategy updating rule promotes cooperation in the prisoner's dilemma game

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Chinese Physics B 2012年第10期21卷 555-562页

作者：方祥圣朱平刘润然刘恩钰魏贵义 Department of Information Science Anhui Institute of Economic Management Networking and Distributed Computing Laboratory Zhejiang Gongshang University Institute for Information Economy Hangzhou Normal University South China University of Technology

In this study,we propose a spatial prisoner＇s dilemma game model with a 2-stage strategy updating rule,and focus on the cooperation behavior of the *** the first stage,i.e.,the pre-learning stage,a focal player decides whether to update his strategy according to the pre-learning factor β and the payoff difference between himself and the average of his *** the player makes up his mind to update,he enters into the second stage,i.e.,the learning stage,and adopts a strategy of a randomly selected neighbor according to the standard Fermi updating *** simulation results show that the cooperation level has a non-trivial dependence on the pre-learning ***,the cooperation frequency decreases as the pre-learning factor increases;but a high cooperation level can be obtained in the intermediate region of- 3〈 β 〈-*** then give some explanations via studying the co-action of pre-learning and *** results may sharpen the understanding of the influence of the strategy updating rule on evolutionary games.

关键词： evolutionary game theory strategy updating social cooperation prisoner＇s dilemma game

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E-Learning based on semantic P2P networks

E-Learning based on semantic P2P networks

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3rd International Conference on networking and distributed computing, ICNDC 2012

作者： Huang, Lican Institute of Networking and Distributed Computing Zhejiang Sci-Tech University HangZhou 310018 China Hangzhou Domain Zones Technology Co. Ltd. China

ISBN: (纸本)9780769548326

When the Internet is the most part of human life, traditional learning is changed gradually. People will learn from the Internet besides in the classroom. This paper presents an approach of e-Learning based on semantic P2P Network¿ Virtual Hierarchical Tree Gird Organizations (VIRGO), which takes advantages for all people can participate the activities due to its distributed technologies. The teachers and students join their specific groups, which of them in the same group can teach,learn,discuss and share their lessons. © 2012 IEEE.

关键词： Semantics

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Virtual hierarchical tree topology for large scale wireless sensor network

Virtual hierarchical tree topology for large scale wireless ...

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2nd International Conference on networking and distributed computing, ICNDC 2011

作者： Huang, Lican Institute of Networking and Distributed Computing Zhejiang Sci-Tech University HangZhou 310018 China

ISBN: (纸本)9780769544274

This paper presents a novel virtual hierarchical tree topology for large scale wireless sensor network. The sensor nodes are divided into clusters, in which one router takes the role for communication with these sensors. Routers are formed into a virtual hierarchical tree, which is the topology of sub wireless sensor network. Routers are managed by coordinate nodes, which form VIRGO P2P network. This strategy may establish the global wireless sensor network with good scalability. © 2011 IEEE.

关键词： Routers

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Digital Model for Virtual Social Person

Digital Model for Virtual Social Person

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2nd International Conference on networking and distributed computing, ICNDC 2011

作者： Huang, Lican Institute of Networking and Distributed Computing Zhejiang Sci-Tech University HangZhou 310018 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China

ISBN: (纸本)9780769544274

Digital Model for Virtual Social Person is important for simulation of organization, society and game implementation, etc. Human being is very complex, whose behaves are not only decided by intelligence but also by emotion, and so on. This paper presents a digital model for virtual social person by digitalizing the effective factors of social person, and discuss how to implement this virtual social person. © 2011 IEEE.

关键词： Computational modeling Educational institutions Government Humans Semantics Sensors digital model game implementation organization simulation social sciences virtual reality virtual social person

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Semantic P2P networks: Future architecture of Cloud computing

Semantic P2P networks: Future architecture of Cloud computin...

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2nd International Conference on networking and distributed computing, ICNDC 2011

ISBN: (纸本)9780769544274

When more and more nodes and users are connected in the Internet in the cases of Cloud computing, centralized computing modes will be failed with the limit band width and privacies. P2P technologies may be the future architecture of Cloud computing. This paper introduces a different P2P technology: semantic P2P Network- Virtual Hierarchical Tree Gird Organizations (VIRGO), which can solve the Cloud computing's problems of transparency, scalability, and security. Other than unstructured and DHT-based structured P2P networks, the nodes of VIRGO are identified as domain names classified by the semantic meaning of roles in the organizations. VIRGO is easy to implement transparency as it have a simple global name schema. It also is scalable with log(N). Due to the data are stored in the users' own computers, VIRGO is easy to keep data privacies. © 2011 IEEE.

关键词： Cloud computing

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Virtual Hierarchical Tree Topology for Large Scale Wireless Sensor Network

Virtual Hierarchical Tree Topology for Large Scale Wireless ...

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International Conference on networking and distributed computing (ICNDC)

作者： Lican Huang Institute of Networking & Distributed Computing Zhejiang Science and Technology University HangZhou China

关键词： Wireless sensor networks Virtual groups Logic gates Topology Network topology Routing protocols Nominations and elections

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Digital Model for Virtual Social Person

Digital Model for Virtual Social Person

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International Conference on networking and distributed computing (ICNDC)

作者： Lican Huang Institute of Networking & Distributed Computing Zhejiang Science and Technology University HangZhou China State key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing China

关键词： Sensors Computational modeling Humans Educational institutions Semantics Government

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Semantic P2P Networks: Future Architecture of Cloud computing

Semantic P2P Networks: Future Architecture of Cloud Computin...

引用

International Conference on networking and distributed computing (ICNDC)

When more and more nodes and users are connected in the Internet in the cases of Cloud computing, centralized computing modes will be failed with the limit band width and privacies. P2P technologies may be the future architecture of Cloud computing. This paper introduces a different P2P technology: semantic P2P Network -- Virtual Hierarchical Tree Gird Organizations (VIRGO), which can solve the Cloud computing's problems of transparency, scalability, and security. Other than unstructured and DHT-based structured P2P networks, the nodes of VIRGO are identified as domain names classified by the semantic meaning of roles in the organizations. VIRGO is easy to implement transparency as it have a simple global name schema. It also is scalable with log(N). Due to the data are stored in the users' own computers, VIRGO is easy to keep data privacies.

关键词： Organizations Cloud computing Semantics Servers Virtual groups Computers Topology

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