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This book presents the proceedings of the 3rd Brazilian Technology Symposium (BTSym), which is a multi/trans/interdisciplinary event offering an excellent forum for presentations and discussions of the latest scientific and technological developments in various areas of research, with an emphasis on smart design and future technologies. It brings together researchers, students and professionals from the industrial and academic sectors to discuss current technological issues. Among the main topics covered in this book, we can highlight Artificial Neural Networks, Computational Vision, Security Applications, Web Tool, Cloud Environment, Network Functions Virtualization, Software-Defined Networks, IoT, Residential Automation, Data Acquisition, Industry 4.0, Cyber-Physical Systems, Digital Image Processing, Infrared Images, Patters Recognition, Digital Video Processing, Precoding, Embedded Systems, Machine Learning, Remote Sensing, Wireless Sensor Network, Heterogeneous Networks, Unmanned Ground Vehicle, Unmanned Aerial System, Security, Surveillance, Traffic Analysis, Digital Television, 5G, Image Filter, Partial Differential Equation, Smoothing Filters, Voltage Controlled Ring Oscillator, Difference Amplifier, Photocatalysis, Photodegradation, Cosmic Radiation Effects, Radiation Hardening Techniques, Surface Electromyography, Sickle cell disease methodology, MicroRNAs, Image Processing Venipuncture, Cognitive Ergonomics, Ecosystem services, Environmental, Power Generation, Ecosystem services valuation, Solid Waste and University Extension.
Provides technology-driven solutions to overcome obstacles in the research and development of smart designs Explores the best practices to pool information and enhance urban designs Discusses how electronic instrumentation can interact with the Internet of Things and cloud computing Examines communications requirements and implementation paradigms to handle big and distributed data arising from everyday tasks, agribusiness, industry, academia, services, e-government, and healthcare Explores the use of virtual and augmented realities as aids to the control and performance of smart cities and grids. Elaborates on existing open source tools for smart designs
Auteur
Prof. Rangel Arthur holds a BS in Electrical Engineering from the Paulista State University Júlio de Mesquita Filho, Brazil (1999), a Master's degree in Electrical Engineering (2002) and a Ph.D. in Electrical Engineering (2007) from the State University of Campinas (Unicamp), Brazil. From 2011 to 2014, he was Coordinator and Associate Coordinator of the Telecommunications Technology and Telecommunications Engineering Courses at Faculdade de Tecnologia (FT), which was created under his management. From 2015 to 2016, he was Associate Director of UNICAMP's FT. He is currently an advisor to the Innovation Agency (Inova) of Unicamp. He has experience in the area of Electrical Engineering, with emphasis on Telecommunication Systems, working mainly on the following topics: telecommunications, digital signal processing, and control.
Prof. Osamu Saotome has a B.Sc. in Electronic Engineering from the Instituto Tecnológico de Aeronáutica - ITA, Brazil, M.Sc. and Ph. D. in Electricaland Electronic Engineering (EEE), Digital Signal Processing (DSP) from the Tokyo Institute of Technology, Japan. His interests include Electronic Circuits, Microprocessors, Digital Signal Processors (DSPs), Embedded Electronic Systems/Software, FPGAs, Intelligent Sensors, Real-Time Systems/Algorithms, Digital Image Processing and Video systems projects with FPGA, Radar Receivers, Global Geo-Positioning Systems (GPS), Global Navigation Satellite System (GNSS), Mechatronics, Aerial Robotics/Navigation, Inertial Systems, Ultra-High Reliability Systems, Avionics, and Computers for Artificial Satellites. Member of the IEEE. He has been (co-)author of hundreds of scientific publications, and international research/cooperation projects with the Brazilian Air Force, INPE, IEAv, France, Sweden, USA, and Japan, among others.
Prof. Vania Vieira Estrela: B.Sc. degree from Federal University of Rio de Janeiro, Brazil, in Electrical and Computer Engineering (ECE); M.Sc. from the Instituto Tecnológico de Aeronáutica (ITA); M.Sc. degree in ECE at Northwestern University, USA, and Ph.D. in ECE from the Illinois Institute of Technology, USA. Taught at: DeVry University; DePaul University; Universidade Estadual do Norte Fluminense, Brazil, and Universidade Estadual da Zona Oeste, Brazil. Visiting professor at the Polytechnic Institute of Rio de Janeiro, Brazil. Currently Professor at Universidade Federal Fluminense, Brazil. Research interests include signal/image/video processing, inverse problems, computational & mathematical modelling, stochastic models, multimedia, electronic instrumentation, machine learning and remote sensing.
-Prof. Hermes José Loschi graduated in Control and Automation Engineering , M.Sc in Electrical Engineering. Currently a Ph.D. Candidate by Department of Communications (DECOM), Faculty of Electrical and Computer Engineering (FEEC) at State University of Campinas (UNICAMP). The main topics of interest areWireless Sensor Network, Internet of Things, Smart Grid, Broadcasting, Biomass, Photovoltaic Systems Applications, Solar Energy, Photovoltaic Solar Generation Prediction Systems, Solar Tracking, Open Access, and STEM. Reviewer for the following publishers: SCIENCEDOMAIN International, Elsevier, International Knowledge Press, Scientific Research Publishing, David Publishing Company, Canadian Center of Science and Education, PIBIC-PRP- UNICAMP. Student member of IEEE and ISDS.
Contenu
1.1. How to build bridges between different ways of working
1.2. Nurturing the dialog between different specializations
1.3. How to deploy a project: from the designer desk to human beings 1.4. New paradigms dedicated to organize evolving technology efforts for the benefit of humanity
2.1. Architecture and Urbanism
2.2. Computer Science
2.3. Informatics
2.4. Industrial Design
2.5. Probability and Statistics
2.6. Aerospace Engineering
2.7. Agricultural Engineering
2.8. Biomedical Engineering
2.9. Civil Engineering
2.10. Electrical Engineering
2.11. Production Engineering
2.12. Mechanical Engineering
2.13. Other STEM areas
2.14. Industry 4.0
2.15. Big Data
2.16. Resilient and robust control 2.17. Flexibility and self-healing abilities 2.18. Vehicle systems
2.19. Smart system architectures 2.20. Smart electricity 2.21. Decentralized decision-making
2.22. Phishing analytic and system security 2.23. Microgrid and islanding application and operation 2.24. Quality-of-Service (QoS), energy-efficiency, and fault tolerance
2,25. Resource management 2.26. Smart infrastructural dependencies 2.27. Distributed control and efficient optimization meth…