NodeScale Vectoring cancels noise
across an entire network node from 192 to 384 ports or more, meeting the
deployment requirements of the world's leading service providers. With Ikanos'
algorithms, compression and coding techniques, service providers can deliver
100 Mbps performance at the scale necessary to support their growing subscriber
bases via a cost-effective commercial silicon and software solution.
NodeScale Vectoring was designed from inception to address the need for delivering
100 Mbps performance across an entire service provider network. The complete
system includes NodeScale Vectoring compatible line cards, Vector Computation
Engines and G.vector-ready customer premises equipment. The system can be
deployed flexibly to increase the performance of existing VDSL nodes, as part
of ADSL network upgrades and in copper plants that previously served only plain
old telephone service (POTS). Since the same Ikanos chipset supports vectored
and non-vectored deployments, upgrades can occur on a line-by-line basis for a
pay-as-you-go vectored network deployment.
Ikanos' NodeScale Vectoring complies with the
International Telecommunication Union standards group (ITU-T) G.vector standard
(G.993.5), which provides for dynamic spectrum management level 3 (DSM-3)
through the use of advanced crosstalk cancellation techniques.
In a bid to boost the viability of lithium-based electric car batteries, a team at Lawrence Berkeley National Laboratory has developed a chemistry that could possibly double an EV’s driving range while cutting its battery cost in half.
Using Siemens NX software, a team of engineering students from the University of Michigan built an electric vehicle and raced in the 2013 Bridgestone World Solar Challenge. One of those students blogged for Design News throughout the race.
Robots that walk have come a long way from simple barebones walking machines or pairs of legs without an upper body and head. Much of the research these days focuses on making more humanoid robots. But they are not all created equal.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.