na próxima semana tem um mini curso sobre IoT e muita coisa interessante. Aproveite!
consulte sempre um engenheiro eletrônico
07 a 11/03/2016 – Mini curso: The Internet of Things (IoT) and Analytics
One of the biggest mysteries of the Internet of Things is how we deal with all that incoming new data. This course, taught by Louis Giokas, will look at the state of the IoT and how analytics are used. He will start by looking at the “things” and their connectivity. Being a course for design engineers, high priority will be given to discussion of building up the analytics infrastructure. Lastly, some analytics examples and types of statistical analysis that can be performed will be reviewed.
- March 7 – Day 1: The Different Things of the IoT
To set the stage for what is to come, this opening class will look at the types of things that are out there. There are many IoT application areas, spanning industrial, medical, consumer, etc. The data analyses that are done will depend on the types of devices, so we will discuss some of these.
- March 8 – Day 2: A Look at Communications & Devices
Getting all that data from place to place is an important element of the whole IoT system but is not generally visible. In many cases, we will have custom devices involved close to the things we are controlling. This class will discuss systems that are two way (measurement and control) and some of the controller devices that are available on the market.
- March 9 – Day 3: Cloud Storage and Formats in the IoT
Generating and communicating data is great, but we need to have somewhere to keep it. In the current environment, the perfect place is the cloud. This is where most IoT data will go and where it will be analyzed. The cloud provides ease of access, flexibility, redundancy, and unlimited growth potential. We will discuss the storage structures and Big Data formats that are used.
- March 10 – Day 4: Examples of Big Data Analysis
Now that the things have been deployed, and the data communicated and stored, we need to analyze. We will look at some examples of how this analysis is performed and used. These examples will include analysis with feedback (i.e., higher level control), analysis used for product improvement (e.g., PLM) and analysis used to understand consumer use. These last two are related, but often are done by separate groups with different goals.
- March 11 – Day 5: Machine Learning & Analysis Techniques
One of the most important statistical techniques used in analyzing IoT data is machine learning. In this final class, we will discuss some important techniques, such as support vector machines and unsupervised learning. An understanding of the techniques is important in determining what can be done in applications that design engineers may encounter.
- Using Open Source Technologies to Rapidly Build Secure IoT Devices
- Analyzing Electronic Warfare Signals with Oscilloscopes
- Preparing Your Maintenance Facility for Lighter than Air Fuels
- Real-world Implementation on the Industrial Internet
- Designing for DMLS
- Replacing Legacy Networking Protocols with Ethernet
Clique na figura abaixo, para ver a agenda completa com os links para as inscrições.