Embedded E-cast

There are so many wireless technologies one could use to connect sensor networks to the cloud. It becomes much more difficult to connect these networks to the cloud when you need longer range than just a few 10s of meters or in the use case where networks contain 100s of sensors.

Embedded systems and medical devices continue to go down the same path - choosing the most appropriate processor; finding a secure operating system; building a simple user interface; and so on. In this E-cast we will touch on all of these facets, one by one.

Look under the hood of many IoT solution providers and you'll find incomplete solutions. Shortcomings are commonly related to device manageability, security, analytics, integration with business applications, and centralized management of enterprise applications --particularly for industrial companies that employ complex networks and devices and processes in their facilities.

Military signal intelligence (SIGINT) and image processing applications require the processing of very large data sets to predict and evaluate future courses of action. Government researchers such as the U.

Today's design engineers are inundated with IoT products but most of these products only deliver part of the solution. Their features sets can differ greatly and often you don't know what you have (or don't have) until it's too late.

Powerful computer hardware with multiple cores and multiple graphic displays are making an impact in every embedded industry, especially automotive. Virtualization of operating systems and services seems like a natural progression to run on this hardware.

Automotive and industrial gateway applications require the integration of IoT connectivity, hardware security and functional safety. The MPC5748G from NXP is ideally suited for these applications and this technical presentation will showcase these features using the associated DEVKIT-MPC5748G development platform.

Hardware hacking and attacks against embedded systems are no longer limited to hobbyists who simply want to have fun making products do things they were never intended to do. Nation states, criminal organizations, and others looking to maliciously subvert, monitor, manipulate, or intentionally damage are now involved.

Understanding how to scale IoT applications from prototype to production is a critical component to IoT deployment success. Part I of our IoT scaling panel discussed scaling by sensors, performance, users, and geography.

The internet of things has been a hot topic for past few years. Proof of concepts are rising in many industries.

Balancing time-to-market with ever-increasing new embedded device functionality demands? The VxWorks(r) real-time operating system (RTOS) can help you with these critical challenges driven by the need for greater connectivity, intelligence, safety, and security. As the industry-leading commercial RTOS, VxWorks meets the complex demands of embedded technology with advanced virtualization, partitioning, and compartmentalization as well as new processor and Java support.

The business case for IoT is often driven by the value of data being generated by hundreds or thousands of field devices. An extension of business operations into a customer, often located far away, these health of these devices directly impacts the entire system.

What's coming down the road, what to expect and what is just a myth? This will cover where things will go including 4d printing, conductive materials, bionic applications, accessible metal printing, true mass customization and if there will ever be a 3d printer in every home. You'll walk away with some ideas on what to look out for in technological advancements and how you can put yourself in a position to take advantage of these coming advancements.

Analytics is one of the most compelling components of an Internet of Things strategy. Where you perform the analytics activities are also vitally important.

Advanced processes and practices that show the value of 3d printing as a process and production aide. We will discuss the more cutting edge applications, who is advancing these methods and why? Also we will explore the less complex but most impactful applications being used in industry.