Proceedings of 2019 Chinese Intelligent Systems Conference. Volume I (©2020)
- Record Type:
- Book
- Title:
- Proceedings of 2019 Chinese Intelligent Systems Conference. Volume I (©2020)
- Main Title:
- Proceedings of 2019 Chinese Intelligent Systems Conference.
- Further Information:
- Note: Yingmin Jia, Junping Du, Weicun Zhang, editors.
- Other Names:
- Jia, Yingmin
Du, Junping
Zhang, Weicun
Chinese Intelligent Systems Conference - Contents:
- Intro; Contents; Non-invasive Fetal Electrocardiography Denoising Using Deep Convolutional Encoder-Decoder Networks; 1 Introduction; 2 Methods; 2.1 Dataset; 2.2 Problem Formulation; 2.3 Model Architecture; 2.4 Training; 2.5 Testing; 3 Results; 3.1 Evaluation Metrics; 3.2 Results on FECGSYNDB; 3.3 Results on DaISy; 4 Discussions; 5 Conclusion; References; The Construction of Multi-wavelets with Matrix Dilation via the Lifting Scheme with Several Steps; 1 Introduction; 2 Preliminary; 3 Lifting for Multi-wavelets with Matrix Dilation; 4 General Interpolating Scaling Function Vector; References Research on Regression Model Based on Uncertain System1 Introduction; 2 System Description; 2.1 Delphi Method and Uncertainty Distribution; 2.2 Uncertain Linear Regression Model and Parameter Estimation; 2.3 Numerical Method; 3 Conclusions; References; Online Optimization of Heating Furnace Temperature Set Value Based on Fast Predictive Genetic Algorithm; 1 Introduction; 2 Slab Temperature Distribution Prediction Model; 2.1 Model Establishment; 2.2 The Discretization of the Model; 3 Optimizing Furnace Temperature Online; 3.1 Objective Function and Constrains 3.2 Fast Predictive Genetic Algorithm (FPGA)3.3 Furnace Temperature Online Setting Strategy; 4 Simulation Experiment and Analysis; 5 Conclusions; References; Denoising of Carbon Steel Corrosion Monitoring Signal Based on NLM-VMD with MFDFA Technique; 1 Introduction; 2 Materials and Method; 2.1 Variational Mode Decomposition (VMD); 2.2Intro; Contents; Non-invasive Fetal Electrocardiography Denoising Using Deep Convolutional Encoder-Decoder Networks; 1 Introduction; 2 Methods; 2.1 Dataset; 2.2 Problem Formulation; 2.3 Model Architecture; 2.4 Training; 2.5 Testing; 3 Results; 3.1 Evaluation Metrics; 3.2 Results on FECGSYNDB; 3.3 Results on DaISy; 4 Discussions; 5 Conclusion; References; The Construction of Multi-wavelets with Matrix Dilation via the Lifting Scheme with Several Steps; 1 Introduction; 2 Preliminary; 3 Lifting for Multi-wavelets with Matrix Dilation; 4 General Interpolating Scaling Function Vector; References Research on Regression Model Based on Uncertain System1 Introduction; 2 System Description; 2.1 Delphi Method and Uncertainty Distribution; 2.2 Uncertain Linear Regression Model and Parameter Estimation; 2.3 Numerical Method; 3 Conclusions; References; Online Optimization of Heating Furnace Temperature Set Value Based on Fast Predictive Genetic Algorithm; 1 Introduction; 2 Slab Temperature Distribution Prediction Model; 2.1 Model Establishment; 2.2 The Discretization of the Model; 3 Optimizing Furnace Temperature Online; 3.1 Objective Function and Constrains 3.2 Fast Predictive Genetic Algorithm (FPGA)3.3 Furnace Temperature Online Setting Strategy; 4 Simulation Experiment and Analysis; 5 Conclusions; References; Denoising of Carbon Steel Corrosion Monitoring Signal Based on NLM-VMD with MFDFA Technique; 1 Introduction; 2 Materials and Method; 2.1 Variational Mode Decomposition (VMD); 2.2 Non-local Mean (NLM); 2.3 Multifractal Detrended Fluctuation Analysis (MFDFA); 2.4 Denoising Effect Evaluation Index; 3 Experiment and Result; 3.1 Artificial Analog Signal Simulation; 3.2 Corrosion Monitoring Signal Simulation; 4 Conclusions; References High Angle of Attack Sliding Mode Control for Aircraft with Thrust Vector Based on ESO1 Introduction; 2 Model Description; 3 Control Scheme; 3.1 Angle of Attack Channel Controller Design; 3.2 Sideslip Angle Channel Controller Design; 3.3 Roll Angular Rate Channel Controller Design; 4 Simulation Results; 5 Conclusions; References; Research and Application of Behavior Detection Based on Smart Phone Sensor; 1 Introduction; 2 Introduction of Smart Phone Sensors; 2.1 Acceleration Sensor; 2.2 Direction Sensor; 2.3 Magnetic Sensor; 3 The Principle of Behavior Detection Based on Smart Phone Sensor 3.1 Motion Parameter Analysis3.2 Behavior Recognition Process; 4 Application Research of Behavior Detection Based on Smart-Phone Sensor; 4.1 Scene Analysis of Getting On and Off Buses; 4.2 Establishment of Getting On and Off Bus Characteristic Database; 4.3 Experiment Analysis; 5 Conclusions; References; Adaptive NN Control of Discrete-Time Nonlinear Strict-Feedback System Using Disturbance Observer; 1 Introduction; 2 Problem Formulation and Preliminaries; 3 Design of ANN Controller via Disturbance Observer; 4 Stability Analysis; 5 Simulation Example; 6 Conclusion; References … (more)
- Publisher Details:
- Singapore : Springer
- Publication Date:
- 2020
- Copyright Date:
- 2020
- Extent:
- 1 online resource (782 pages)
- Subjects:
- 006.3
Artificial intelligence -- Congresses
Multiagent systems -- Congresses
Automatic control -- Congresses
Computational intelligence -- Congresses
Robotics -- Congresses
Artificial intelligence
Automatic control
Computational intelligence
Multiagent systems
Robotics
Electronic books
Conference papers and proceedings - Languages:
- English
- ISBNs:
- 9789813296824
9813296828 - Related ISBNs:
- 9789813296817
- Notes:
- Note: Print version record.
- Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.454914
- Ingest File:
- 02_591.xml