Ai Dong

ORCID: 0000-0003-0470-2491
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • Analytical Chemistry and Chromatography
  • Pesticide Residue Analysis and Safety
  • Teleoperation and Haptic Systems
  • Robot Manipulation and Learning
  • Fatty Acid Research and Health
  • Network Traffic and Congestion Control
  • Antibiotics Pharmacokinetics and Efficacy
  • Tea Polyphenols and Effects
  • Surgical Simulation and Training
  • Advanced Control Systems Optimization
  • Gaussian Processes and Bayesian Inference
  • Healthcare Technology and Patient Monitoring
  • Graph Labeling and Dimension Problems
  • Internet Traffic Analysis and Secure E-voting
  • Software-Defined Networks and 5G
  • Mass Spectrometry Techniques and Applications
  • Analytical Methods in Pharmaceuticals
  • Soft Robotics and Applications

Harbin Institute of Technology
2008-2021

Shandong Jiaotong University
2014

Round trip time (RTT) can influence the performance of network applications, and it will be great significance to predict RTT for applications with strict quality service requirements. However, is challenging accurately due intrinsic asymmetric unequal characteristics Internet network. To overcome this challenge, a novel approach based on recurrent neural networks minimal gated unit proposed prediction RTT. The experimental results indicate that method shows considerable advantages compared...

10.1109/lcomm.2019.2899603 article EN IEEE Communications Letters 2019-02-15

A method using solid-phase extraction for cleanup, followed by high-performance liquid chromatography with ultraviolet detection (HPLC/UV), was developed the determination of forchlorfenuron residues in Fruit and vegetable. The is extracted from sample (15 g) ethyl acetate (30 mL), extract loaded onto an ENVI-18 column. eluted methanol-water as mobile phase (65:35) determined HPLC/UV (260 nm). column found to provide effective removing greatest number matrix interferences. In this method,...

10.1109/icbbe.2010.5515811 article EN International Conference on Bioinformatics and Biomedical Engineering 2010-06-01

Robot-assisted minimally invasive surgery has achieved great success due to its overwhelming advantages compared with traditional open surgery. However, there are still some disquieting issues that impair high reliability and efficiency such as unaccessible force feedback, communication time delay kinds of dynamic modeling error uncertain nonlinearity. In this paper, disturbance observer is proposed acquire the interaction information between slave manipulator environment. At same time,...

10.1109/cyber.2018.8688190 article EN 2018-07-01
Coming Soon ...