by Costas Pipilas, Econais
With the increasing complexity of wireless connectivity and the almost universal need for devices to connect over the IoT, ease of integrating standard communications is becoming essential. Wi-Fi has grown to a wide-ranging specification that can best be tamed using pre-developed software.
In the real world, time is money, and they are both in short supply for designers who are under tight constraints when designing new Wi-Fi connected devices. Add to this increasinglyRead More...
- MAGAZINE SECTIONS
by Cees Links, GreenPeak TechnologiesHistory has shown that standards wars are costly for both winners and losers alike and will be no different for the IoT. Standard wars are also costly because they delay markets developing as consumers and industries will sit back and wait until “things have settled.” The IoT is an exciting opportunity, and applications are already emerging left and right, but for mass adoption, unified standardization will be essential.
TECHNOLOGY IN CONTEXT
TECHNOLOGY IN SYSTEMS
by Daron Underwood, IntervalZero Inc.Leveraging the compatibility of Ethernet with additional Real-time protocol, EtherCAT has become an attractive and widely used replacement for proprietary field buses. With today’s multicore processors, it is also now possible to implement it almost completely in software.
by Jonathan Miller, Diamond SystemsThe longevity and wide use of the PC/104 form factor has been largely a result of its ability to adapt to advances in technology while retaining backward compatibility to earlier modules. The advent of the OneBank connector is an adaptation for board space and cost that fits in smoothly with existing systems.
by Matt Stevenson, WIN EnterprisesThe continued evolution of Intel architecture (IA) enables electronic OEMs to consider it for applications previously requiring an FPGA. The benefits brought by IA are decreased development time, lower project cost, and high performance with feature integration.
SMALL FORM FACTOR FORUM
by Tom Williams, Editor-in-ChiefNVIDIA targets the autonomous vehicle with processor and neural net learning advances and partnerships with multiple auto manufacturers.
by Tom Williams, Editor-in-Chief