• Blockchain Dividing Based on Node Community Clustering in Intelligent Manufacturing CPS 

      Li, Suisheng; Xiao, Hong; Wang, Hao; Wang, Tao; Qiao, Jingwei; Liu, Shaofeng (Chapter, 2019)
      The blockchain technology becomes a key facilitator for Intelligent Manufacturing as it enables intelligent nodes to participate in global manufacturing networks with secure ledgers and smart contracts features. However, ...
    • MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking 

      Ma, Shenglan; Yang, Lingling; Wang, Hao; Xiao, Hong; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2019)
      Text detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) ...
    • Multi-Scale Feature Pair Based R-CNN Method for Defect Detection 

      Huang, Zihao; Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhang, Cheng; Shi, Xiucong (Chapter, 2019)
      The traditional defect detection algorithms based on image registration, image contrast and other image processing algorithms are only limited to a single defect. Though deep-learning-based object detection algorithms can ...
    • On Modeling Eavesdropping Attacs in Underwater Acoustic Sensor Networks 

      Wang, Qiu; Dai, Hong-Ning; Li, Xuran; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2016)
      The security and privacy of underwater acoustic sensor networks has received extensive attention recently due to the proliferation of underwater activities. This paper proposes an analytical model to investigate the ...
    • R-PCNN Method to Rapidly Detect Objects on THz Images in Human Body Security Checks 

      Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhu, Feng; Zhang, Cheng; Dai, Hong-Ning; Zhou, Yubin (Chapter, 2018)
      Terahertz human body security images have low resolution and a low signal-to-noise ratio. In the traditional method, image segmentation, positioning, and identification are applied to detect objects carried by humans in ...
    • Sentiment Analysis of Chinese Microblog Based on Stacked Bidirectional LSTM 

      Zhou, Junhao; Lu, Yue; Dai, Hong-Ning; Wang, Hao; Xiao, Hong (Journal article; Peer reviewed, 2019)
      Sentiment analysis on Chinese microblogs has received extensive attention recently. Most previous studies focus on identifying sentiment orientation by encoding as many wordproperties as possible while they fail to consider ...