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21 results on '"Liang Weipeng"'

3. Two-Stage Anomaly Detection in LEO Satellite Network

Author

Wang, Yipeng, Chen, Peixian, Ai, Shan, Liang, Weipeng, Liao, Binjie, Mo, Weichuan, Wang, Heng, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Chen, Chao, editor, and Meng, Weizhi, editor

Published
2023
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5. Balanced System Management Design of Multi Node Server Cluster Based on FPGA

Author

Liang, Weipeng, Qiu, Yuanqiong, 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, Li, Yong, 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, Oneto, Luca, 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, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Pei, Yan, editor, Chang, Jia-Wei, editor, and Hung, Jason C., editor

Published
2022
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10. Robust Text Image Tampering Localization via Forgery Traces Enhancement and Multiscale Attention

Author

Dong, Li, Liang, Weipeng, and Wang, Rangding

Abstract

Text images, such as scanned documents, certificates, and chat-box screenshots, are commonly used for multimodal communication. However, the rise of advanced deep image editing tools raises concerns about the authenticity of text images. Unlike natural images, even subtle tampering in text images, like a single character, can substantially alter the semantics. To address this issue, we propose a robust network framework for detecting and localizing text image forgeries. This framework involves forgery traces enhancement and multiscale attention-based forgery localization. Specifically, we introduce a deep module to enhance forgery traces from multiple domains, reducing distraction from the image background and facilitating the forgery localization. An efficient encoder-decoder network is devised by fusing high-level semantics with low-level details using a multiscale attention module. Through joint restoration and multiscale forgery feature learning, even delicately tampered regions can be effectively exposed. To evaluate the framework under real-world distortion scenarios, we create a large-scale dataset featuring various tampering methods and distortions. Experimental results demonstrate that the proposed method outperforms the state-of-the-art methods in terms of both accuracy and robustness, especially for the small tampering regions.

Published
2024
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11. LEOCN: Real-time and complete network simulation framework for LEO constellation networks1.

Author

Li, Cong, Wang, Haiyang, Liang, Weipeng, Li, Yunhao, Yan, Hongyang, Huang, Teng, Li, Bo, and He, Jianwei

Subjects
ROUTING algorithms, COMPUTER network traffic, SPACE industrialization, RESEARCH personnel, CONSTELLATIONS
Abstract

With the development of the space industry, LEO simulation platforms are increasingly important. Prior work mainly focused on the dynamics of constellation topology, routing algorithms against the topological motion, and the behavior of LEO constellation networks, but neglected real-time and completeness properties. In our work, we design a real-time and complete network simulation framework, named LEOCN, that is more meaningful and detailed for researchers than previous work on LEO satellite constellation simulations. LEOCN is supported by Linux System, which makes the framework more realistic and relieves the computational burden. Meanwhile, LEOCN deeply considers topology and routing algorithms, visualization, satellite mobility, communication protocols, and network traffic problems. On LEOCN, we can deploy routing algorithm experiments via SDN. We evaluate the performance of LEOCN in large-scale constellation scenarios, and the results demonstrate the superiority of the real-time and complete network simulation framework. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Attack and defense simulation platform for satellite networks based on Mininet

Author

Liang, Weipeng, Liao, Binjie, Chen, Peixian, Wang, Yipeng, Ai, Shan, Wang, Yu, Huang, Teng, and He, Jianwei

Abstract

The LEO satellite network has attracted a lot of attention due to its low latency and low link loss. However, its security has not received enough attention. In this context, we propose a LEO satellite network attack and defense simulation platform called MSP, which allows us to customise the distributed LEO satellite network for attack and defense simulation. On MSP, we implement four types of possible attacks on LEO satellite networks, namely DDoS, port scanning, FTP blasting and SSH blasting, and provide some mitigations. The experiments show that these four types of malicious attacks can bring risks such as network congestion, service disruption, port explosion, and password leaks to LEO satellite networks.

Published
2024
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19. Hydraulic System Optimization and Dynamic Characteristic Simulation of Double Clutch Transmission

Author

Li Xingzhong, Hanyong, Lei Yulong, and Liang Weipeng

Subjects
Optimization, Engineering, Automatic transmission, business.industry, Flow (psychology), ComputerApplications_COMPUTERSINOTHERSYSTEMS, Hydraulic system, law.invention, Dynamic simulation, Hydraulic simulation, Transmission (telecommunications), Control theory, law, Discrete cosine transform, Practical algorithm, Double clutch, General Earth and Planetary Sciences, Clutch, Hydraulic machinery, business, Simulation, General Environmental Science
Abstract

The article focused on a dual-clutch automatic transmission of its hydraulic system. We can calculate the structure size of each body through theory and practical algorithm. The dynamic simulation model of hydraulic system of dual- clutch automatic transmission was established. Then the dynamic characteristics of the system were simulated. And to analysis the simulation results and test results to see the simulation model can be used with the test results. Analysis of simulation results of DCT hydraulic system pressure and flow, as well as different structural parameters of the hydraulic system.

Published
2011
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21. LEOCN: Real-time and complete network simulation framework for LEO constellation networks1.

Author

Li, Cong, Wang, Haiyang, Liang, Weipeng, Li, Yunhao, Yan, Hongyang, Huang, Teng, Li, Bo, and He, Jianwei

Subjects
*ROUTING algorithms, *COMPUTER network traffic, *SPACE industrialization, *RESEARCH personnel, *CONSTELLATIONS
Abstract

With the development of the space industry, LEO simulation platforms are increasingly important. Prior work mainly focused on the dynamics of constellation topology, routing algorithms against the topological motion, and the behavior of LEO constellation networks, but neglected real-time and completeness properties. In our work, we design a real-time and complete network simulation framework, named LEOCN, that is more meaningful and detailed for researchers than previous work on LEO satellite constellation simulations. LEOCN is supported by Linux System, which makes the framework more realistic and relieves the computational burden. Meanwhile, LEOCN deeply considers topology and routing algorithms, visualization, satellite mobility, communication protocols, and network traffic problems. On LEOCN, we can deploy routing algorithm experiments via SDN. We evaluate the performance of LEOCN in large-scale constellation scenarios, and the results demonstrate the superiority of the real-time and complete network simulation framework. [ABSTRACT FROM AUTHOR]

Published
2024
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