Program
| Day/Hour | |||
| November 12 | |||
| 8:30am-8:50am | Opening Session | ||
| 9:00am-9:40am | Lecture 1 (LEC1): A Smart Future: challenges and opportunities | Presenter: | Prof. Dr. José Roberto Boisson de Marca, PUC-RJ, Brazil |
| 9:45am-10:50am | Session 1 (PS1): Power Systems 16 – High Impedance Fault Detection in Distribution Systems: An Approach Based on Fourier Transform and Artificial Neural Networks 6 – Analysis of Traveling Waves Propagation Characteristics Considering Different Transmission Line EMTP Models 18 – Electromagnetic Interferences Between a Traction Line and a Pipeline with Real Soil Data 45 – A Power Transformer Event Classification Technique Based on Support Vector Machine 15 – Management of an Electrical Storage System for Joint Energy Arbitrage and Improvement of Voltage Profile | ||
| 11:00am-12:00pm | Lecture 2 (LEC2): Traveling Wave Based Fault Location for Transmission Lines | Presenter: | Prof. Dr. Guangbin Zhang, Kunming University of Science and Technology, China |
| 12:00 pm – 13:00 pm | Lecture 7 (LEC7): Deep Learning Based Approach for User Monitoring in Autonomous Driving | Presenter: | Prof. Dr. Achim Rettberg, Hochschule Hamm-Lippstadt, Germany |
| Break | |||
| 2:00pm-3:00pm | Lecture 3 (LEC3): Protection in Power Systems with Converter-Interfaced Generation | Presenter: | Prof. Dr. Ali Hooshyar, University of Toronto, Canada |
| 3:10pm-4:15pm | Session 2 (PS2): Power Systems 58 – Phasor Estimation Algorithms Based on the Discrete Hartley Transform 51 – Performance Assessment of a Wavelet-Based Differential Protection scheme in the Inter-Turn Fault detection in a Transformer 31 – Segmentation and Entropy Coding Analysis of a Data Compression System for Power Quality Disturbances. 60 – Electrical Noise Simulation: A Practical Approach for ATP/ATPDraw Studies 24 – Transient Voltages on Lightning Protection System with Stratied Soils and Damage Conditions | ||
| 4:20pm-4:50pm | Lecture 4 (LEC4): Large-Capacity Multi-Infeed HVDC Configuration in the Southeast Region | Presenter: | Prof. Dr. Nelson Martins, Academia Nacional de Engenharia, Brazil |
| 5:00pm-5:30pm | Lecture 5 (LEC5): Integration of Relay Models in Phasor-Based Dynamic Simulation Tools | Presenter: | Prof. Dr. Glauco N. Taranto, UFRJ, Brazil |
| 5:40pm-6:30pm | Session 3 (PS3): Power Systems 14 – Analysis of the Frequency Dependent Lumped Parameter Transmission Line Model 38 – Generalized Power Grid Reduction Technique 20 – Electromagnetic Interferences Between Power Lines and Pipelines Using EMTP Techniques 23 – A case study of the maximization of daily revenue of hydroelectric power-plant in Brazilian Power Market | ||
| Day/Hour | |||
| November 13 | |||
| 9:00am-10:00am | Lecture 6 (LEC8): On Beamforming and Bumblebees: Connecting Vehicles Together | Presenter: | Prof. Dr. Alexander Wyglinski, Worcester Polytechnic Institute, Massachusets, EUA |
| 10:10am-11:00am | Session 4 (CN1): Communication Networks 37 – Design of Ku-Band Filters and Diplexer for a Heterodyne Transceiver Using Coupled Open-Loop Resonator Cells 33 – Ku Band Metallic Via Through Interconnect-Stripline Capacitive Transitions for Non-Standard PCB Via Setup Using 34 – RF Front-End Receiver for Vehicular Satellite Communications and LNA GaAs FET Design in Ku-Band 35-RF SP4T PIN Diode Switch for Mobile Satellite Communication System at Ku-band | ||
11:00am-12:00am | Lecture 8 (LEC8): Deep Learning Based Approach for DDoS Detection | Presenter: | M.Sc. João Paulo Maranhão, Universidade de Brasília, Brazil |
| Break | |||
| 2:00pm-3:00pm | Lecture 9 (LEC6): Tensor Modeling for Large Array Processing in Wireless Communications | Presenter: | Prof. Dr. André de Almeida, Universidade Federal do Ceará, Brazil |
| 3:10pm-4:45pm | Session 5 (CN2): Communication Networks 50 – Decision support framework for the stock market using deep reinforcement learning 44 – Sensor fusion of camera and LiDAR raw data for vehicle detection 62 – Improved localization framework for autonomous vehicles via tensor and antenna array based GNSS receivers 43 – A SHA-3 Co-Processor for IoT Applications 48 – Machine vs Bot: tuning machine learning models to detect bots on Twitter 59 – IoT Fog-based Image Matching Monitoring System for Physical Access Control through IP Camera Devices | ||
| 5:00pm-5:30pm | Closing Session |