T
Tong Bai
Researcher at Chongqing University of Posts and Telecommunications
Publications - 17
Citations - 135
Tong Bai is an academic researcher from Chongqing University of Posts and Telecommunications. The author has contributed to research in topics: Encryption & Body area network. The author has an hindex of 6, co-authored 13 publications receiving 72 citations.
Papers
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Journal ArticleDOI
An Optimized Faster R-CNN Method Based on DRNet and RoI Align for Building Detection in Remote Sensing Images
Tong Bai,Yu Pang,Junchao Wang,Kaining Han,Jiasai Luo,Huiqian Wang,Jinzhao Lin,Jun Wu,Hui Zhang +8 more
TL;DR: An improved Faster R-CNN (region-based Convolutional Neural Network) algorithm was proposed in this paper, which adopts DRNet and RoI (Region of Interest) Align to utilize texture information and to solve the region mismatch problems.
Journal ArticleDOI
A lightweight method of data encryption in BANs using electrocardiogram signal
Tong Bai,Jinzhao Lin,Guoquan Li,Huiqian Wang,Ran Peng,Zhangyong Li,Dan Li,Yu Pang,Wei Wu,Gwanggil Jeon +9 more
TL;DR: A new encryption method based on the QRS complex of the ECG signal is proposed, which adopts the vital signs from the BAN system to form the initial key, utilizes the LFSR (Linear Feedback Shift Register) circuit to generate the key stream, and then encrypts the data inThe BANs.
Journal ArticleDOI
An optimized protocol for QoS and energy efficiency on wireless body area networks
Tong Bai,Jinzhao Lin,Guoquan Li,Huiqian Wang,Ran Peng,Zhangyong Li,Yu Pang,Wei Wu,Gwanggil Jeon +8 more
TL;DR: A frame structure model of a self-adaptive guard band (SAGB) protocol is proposed, which introduces a guard band in each time slot according to the allowed maximum time drift of the crystal, adaptively adjusts the value of the GB based on the actual time drift, and then ensures that the node simultaneously maintains the sleeping state and synchronization with the coordinator during beacon transmission, thus reducing the energy consumption.
Journal ArticleDOI
Fusion High-Resolution Network for Diagnosing ChestX-ray Images
TL;DR: The experimental results showed that the proposed FHRNet yields a better disease classification performance for the ChestX-ray 14 dataset, according to the receiver operating characteristic curve and area-under-the-curve score.
Patent
Auxiliary method used for indoor positioning
TL;DR: In this paper, an auxiliary method used for indoor positioning is described, which comprises the following steps that a positioning system firstly determines a position of an auxiliary apparatus and a distance between the auxiliary equipment and a beacon point; and then, in an actual positioning stage, the auxiliary apparatus sends a received beacon-point real-time signal intensity value to a positioning server terminal.