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33 results on '"Yang, Xingchun"'

8. Image Fusion Based on Masked Online Convolutional Dictionary Learning with Surrogate Function Approach

Author

Zhang, Chengfang, Yang, Xingchun, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, WU, C. H., editor, PATNAIK, Srikanta, editor, POPENTIU VLÃDICESCU, Florin, editor, and NAKAMATSU, Kazumi, editor

Published
2021
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10. On the Role of 'Muscle Memory' in Interaction Design

Author

Liu, Miao, Yang, Xingchun, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Di Bucchianico, Giuseppe, editor, Shin, Cliff Sungsoo, editor, Shim, Scott, editor, Fukuda, Shuichi, editor, Montagna, Gianni, editor, and Carvalho, Cristina, editor

Published
2020
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11. Image Fusion Based on Convolutional Sparse Representation with Mask Decoupling

Author

Zhang, Chengfang, Chen, Yuling, Yi, Liangzhong, Yang, Xingchun, Jin, Xin, Yan, Dan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Patnaik, Srikanta, editor, Wang, John, editor, Yu, Zhengtao, editor, and Dey, Nilanjan, editor

Published
2020
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13. Infrared and Visible Image Fusion Using NSCT and Convolutional Sparse Representation

Author

Zhang, Chengfang, Yue, Zhen, Yi, Liangzhong, Jin, Xin, Yan, Dan, Yang, Xingchun, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhao, Yao, editor, Barnes, Nick, editor, Chen, Baoquan, editor, Westermann, Rüdiger, editor, Kong, Xiangwei, editor, and Lin, Chunyu, editor

Published
2019
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22. Digital Forensics for Automotive Intelligent Networked Terminal Devices

Author

Chen, Zigang, Mu, Qinyu, Luo, Wenjun, Yang, Xingchun, Li, Danlong, Shao, Xin, Liu, Yuhong, and Zhu, Haihua

Abstract

With the frequent occurrence of automobile-related incidents, automobile forensics has gradually become a hot spot of concern. Due to the development of intelligent connected vehicles, drivers can drive the car directly through human manipulation or driver assistance systems. These factors have led to significant challenges in digital forensics and liability determination of automobile accidents. In addition, the terminal devices of intelligent connected vehicles have various memory chips, which record the vehicle's data during driving, making it possible to explore digital forensics and even realistically restore the truth of the accident in intelligent networked vehicles. In this work, we analyzed the working mechanism of intelligent connected vehicles and proposed a digital forensic model of automotive intelligent networked terminal devices. Based on this model, we give two sets of forensic cases applied to the T-Box and discuss the model's applicability and validity. We hope that our proposed forensic investigation model will be of some help for future automotive forensic investigations.

Published
2024
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29. An effective stadium monitoring control algorithm based on big data in emerging mobile networks.

Author

Han, Kaiyan, Xiao, Guorong, and Yang, Xingchun

Subjects
DATA fusion (Statistics), BIG data, DATABASES, IMAGE recognition (Computer vision), RADIO frequency, MULTISENSOR data fusion, STADIUMS, GYMNASIUMS
Abstract

In the process of monitoring the gymnasium by the traditional radio frequency technology, the parallel computing problem of the large data environment in the gymnasium monitoring cannot be handled effectively. It cannot be identified independently and accurately, and the gymnasium monitoring algorithm based on large data is proposed. In the process of Map-Reduce parallel monitoring based on AE, off-line training of monitoring image recognition model based on AE and neural network is carried out. Through the weighted fusion algorithm of trajectory correction, the best data fusion result is obtained, and the offline training recognition model is used to identify the image information. In parallel monitoring, if there is a correlation between the monitoring events, the Map function is used to read the test sample data, and the mapping of the corresponding key values is obtained. The mapping records generated by the Map function are performed by the Reduce function to obtain the monitoring and identification results of the gymnasium. The experimental results show that the proposed algorithm can accurately and efficiently identify the monitoring images of the gymnasium. [ABSTRACT FROM AUTHOR]

Published
2019
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