Browsing TKD - Institutt for informasjonsteknologi by Journals "IFAC-PapersOnLine"

Now showing items 1-6 of 6

    • Automatic Analysis of Large-scale Nanopore Data Using Hidden Markov Models 

      Zhang, Jianhua; Liu, Xiuling (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2020-04-14)
      In this paper we developed a modified Hidden Markov Model (HMM) to analyze the raw nanopore experimental data. Traditionally, prior to further analysis the measured nanopore data must be pre-filtered, but the filtering ...

    • Classifying Mental Workload Levels Using Semi-Supervised Learning Technique 

      Zhang, Jianhua; Li, Jianrong (IFAC-PapersOnLine;Volume 53, Issue 2, Peer reviewed; Journal article, 2021-04-14)
      Real-time monitoring and analysis of human operator’s mental workload (MWL) is crucial for development of adaptive/intelligent human-machine cooperative systems in various safety/mission-critical application fields. Although ...

    • EMG Signals based Human Action Recognition via Deep Belief Networks 

      Zhang, Jianhua; Ling, Chen; Li, Sunan (IFAC-PapersOnLine;Volume 52, Issue 19, 2019, Journal article; Peer reviewed, 2019-12-24)
      Electromyography (EMG) signals can be used for action classification. Nonetheless, due to their nonlinear and time-varying properties, it is difficult to classify the EMG signals and it is critical to use appropriate ...

    • Hierarchical MPC of Hybrid Power Systems based on Fuzzy Discrete Abstraction 

      Zhang, Jianhua; Xia, Jiajun (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2020-04-14)
      A hierarchical control approach is proposed for hybrid systems with discrete-valued input based on fuzzy discrete abstraction and model predictive control (MPC) scheme. The system is firstly abstracted to a discrete event ...

    • Operator Performance Prediction based on Fuzzy Modeling Approach 

      Zhang, Jianhua; Yin, Zhong (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2021-04-14)
      In this paper, physiological signals were measured from five participants, each participating in two sessions of experiment with identical experimental procedure. A simulation platform, AutoCAMS (Automation-enhanced Cabin ...

    • Selection of Optimal EEG Electrodes for Human Emotion Recognition 

      Zhang, Jianhua; Chen, Peng (IFAC-PapersOnLine;Volume 53, Issue 2, 2020, Peer reviewed; Journal article, 2021-04-14)
      In recent years, emotion recognition has attracted increasing interest from researchers from diverse fields. Because of their intrinsic correlation with emotions, physiological signals based emotion recognition method is ...