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Your search keyword '"Yin, Junsong"' showing total 23 results
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23 results on '"Yin, Junsong"'

1. Synthetic Data: Development Status and Prospects for Military Applications

Author

Huang, Jinhui, Yin, Junsong, Wang, Shuangshuang, Kong, Dezhao, Ceccarelli, Marco, Series Editor, Agrawal, Sunil K., Advisory Editor, Corves, Burkhard, Advisory Editor, Glazunov, Victor, Advisory Editor, Hernández, Alfonso, Advisory Editor, Huang, Tian, Advisory Editor, Jauregui Correa, Juan Carlos, Advisory Editor, Takeda, Yukio, Advisory Editor, and Li, Shaofan, editor

Published
2024
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3. AI-Assisted Complex Wireless Network Evaluation Using Dynamic Ranking Scheme

Author

Gao, Yuan, Cao, Jiang, Zhou, Weigui, Qing, Chao, Ao, Hong, Hu, Su, Yin, Junsong, Wang, ShuangShuang, Li, Xiangyang, Yu, Haosen, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Chen, Bingcai, editor

Published
2020
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4. An Overview of Blockchain-Based Swarm Robotics System

Author

Du, Yanchang, Cao, Jiang, Yin, Junsong, Song, Shuang, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Wang, Wei, editor, Mu, Jiasong, editor, Liu, Xin, editor, Na, Zhenyu, editor, and Chen, Bingcai, editor

Published
2020
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6. A Qualitative Requirement and Quantitative Data Transform Model

Author

Liu, Yuchao, Yin, Junsong, Chen, Guisheng, Zhang, Songlin, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Doug, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Goebel, Randy, editor, Siekmann, Jörg, editor, Wahlster, Wolfgang, editor, Yu, Jian, editor, Greco, Salvatore, editor, Lingras, Pawan, editor, Wang, Guoyin, editor, and Skowron, Andrzej, editor

Published
2010
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7. Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction

Author

Xiao, Jian, Zhou, Zongtan, Hu, Dewen, Yin, Junsong, Chen, Shuang, Hutchison, David, editor, Kanade, Takeo, editor, Kittler, Josef, editor, Kleinberg, Jon M., editor, Mattern, Friedemann, editor, Mitchell, John C., editor, Naor, Moni, editor, Nierstrasz, Oscar, editor, Pandu Rangan, C., editor, Steffen, Bernhard, editor, Sudan, Madhu, editor, Terzopoulos, Demetri, editor, Tygar, Dough, editor, Vardi, Moshe Y., editor, Weikum, Gerhard, editor, Wang, Lipo, editor, Chen, Ke, editor, and Ong, Yew Soon, editor

Published
2005
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9. AI-Assisted Complex Wireless Network Evaluation Using Dynamic Ranking Scheme

Author

Su Hu, Hong Ao, Gao Yuan, Haosen Yu, Wang Shuangshuang, Xiangyang Li, Jiang Cao, Yin Junsong, Chao Qing, and Weigui Zhou

Subjects
Scheme (programming language), Wireless network, Computer science, business.industry, Deep learning, Scale (chemistry), Distributed computing, Complex network, Communications system, Network element, Ranking, Artificial intelligence, business, computer, computer.programming_language
Abstract

In recent development of communication systems, increasing amount of mobile terminals and multimedia content will require more and more resources to satisfy the need of users. However, there is rare study about the evaluation of large-scale complex network, from which the shortage of the network could be discovered. In this paper, we discuss the AI-based network evaluation method, we propose a novel discovery and ranking system using deep learning to collect and evaluate the network influence factor, and then, the key factors will be discovered to detect the advantages and shortages of network elements, deployments and scale. The AI-based detection and evaluation system is running along with the LTE-A system-level simulation platform, the accuracy and the effectiveness are evaluated, system shortages are successfully discovered within 100 trainings.

Published
2020

10. An Overview of Blockchain-Based Swarm Robotics System

Author

Shuang Song, Yanchang Du, Jiang Cao, and Yin Junsong

Subjects
Structure (mathematical logic), Blockchain, Human–computer interaction, Computer science, ComputingMethodologies_MISCELLANEOUS, Swarm robotics, Conceptual model (computer science), Swarm behaviour, Information security, Information environment, Disruptive technology
Abstract

As a disruptive technology, swarm robotics is developing everyday, and attracts great attention. However, swarm robotics face some challenges which hinder swarm robots from broader application. Blockchain technology can provide a basic credible information environment of swarm robots, expand its application. This paper discusses how blockchain technology can provide benefits to swarm robotics, give a basic structure of swarm robots-oriented blockchain conceptual model. Finally, limitations and possible future problems that arise from the combination of these two technologies are described.

Published
2020

11. Mutual Connection in 5G Based Space Information Networks: Opportunities and Challenges

Author

Su Hu, Xiangyang Li, Jiang Cao, Tao Deng, Yin Junsong, Yuan Gao, and Wanbin Tang

Subjects
Hotspot (Wi-Fi), business.industry, Software deployment, Computer science, Air interface, Communications satellite, Network virtualization, Mobile telephony, business, Communications system, 5G, Computer network
Abstract

In recent years, satellite communication has becoming popular and develop very fast around the world. Recently, the fifth-generation mobile communication (5G) is about to enter the commercial use. As key characteristic of the 5G communication system, the integration of satellite communication and ground 5G has become a new hotspot. In this paper, we propose the summary of 5G in space based view, first of all, we introduce the status of 5G communication system, and its convergence to space wireless communication system. Then we analyze the development trends of satellite 5G systems, and then gives the initial idea of satellite 5G fusion, including architecture design, air interface design, based on SDN/NFV network virtualization deployment and protocol optimization, and discussed the possible problems of fusion; finally, the key technologies of satellite 5G fusion are sorted with opportunities and challenges.

Published
2020

12. Performance Evaluation in Large Scale Cooperative Wireless Fusion Networks: Opportunities and Challenges

Author

Su Hu, Chao Qing, Jiang Cao, Yuan Gao, Xiangyang Li, Yin Junsong, Yanchang Du, Yang Guo, and Weigui Zhou

Subjects
Network architecture, Network element, Software deployment, business.industry, Computer science, Distributed computing, Deep learning, Resource allocation, Wireless, Artificial intelligence, business, Communications system, 5G
Abstract

The deployment of 5G and its advanced generation wireless personal communication system will greatly affect our daily life. Due to the complexity and scale of the network, a proper evaluation method must be developed to monitor the status of the system and provide executive solution to optimize the network. In this paper, we summarize the state of art in evaluation of large scale cooperative wireless fusion networks, and discovered that there is rarely effective method to make proper estimation and provide precise optimization to network architecture, resource allocation and reform of network elements. So both benefits and challenges are provided to make a clear view of the system, deep learning based method is also proposed as an open discussion problem.

Published
2019

14. Intelligent UAV Based Flexible 5G Emergency Networks: Field Trial and System Level Results

Author

Gao, Yuan, primary, Cao, Jiang, additional, Wang, Ping, additional, Yin, Junsong, additional, He, Ming, additional, Zhao, Ming, additional, Peng, Mugen, additional, Hu, Su, additional, Sun, Yunchuan, additional, Wang, Jing, additional, Cheng, Shaochi, additional, Guo, Yang, additional, Du, Yanchang, additional, Cai, Yanxi, additional, Huang, Jinhui, additional, and Qiu, Kai, additional

Published
2020
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23. Self-organized Locally Linear Embedding for Nonlinear Dimensionality Reduction.

Author

Wang, Lipo, Chen, Ke, Ong, Yew, Xiao, Jian, Zhou, Zongtan, Hu, Dewen, Yin, Junsong, and Chen, Shuang

Abstract

Locally Linear Embedding (LLE) is an efficient nonlinear algorithm for mapping high-dimensional data to a low-dimensional observed space. However, the algorithm is sensitive to several parameters that should be set artificially, and the resulting maps may be invalid in case of noises. In this paper, the original LLE algorithm is improved by introducing the self-organizing features of a novel SOM model we proposed recently called DGSOM to overcome these shortages. In the improved algorithm, nearest neighbors are selected automatically according to the topology connections derived from DGSOM. The proposed algorithm can also estimate the intrinsic dimensionality of the manifold and eliminate noises simultaneously. All these advantages are illustrated with abundant experiments and simulations. [ABSTRACT FROM AUTHOR]

Published
2005
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