SigmaWay Blog tries to aggregate original and third party content for the site users. It caters to articles on Process Improvement, Lean Six Sigma, Analytics, Market Intelligence, Training ,IT Services and industries which SigmaWay caters to
Arduino platform consists of two parts - the hardware and the software and is hooked on sensors. You can build as simple as pressing a button, or as complex as using ultrasound to detect distance or sending a message to your computer. So, the Arduino is a simple computer which you can built yourself. It is popular because the hardware is cheap, it is easy to program and there is a huge web community. Read more at: https://www.wired.com/2008/04/just-what-is-an/
Rolls Royce, a company that is a leader in the manufacture of engines that generate large amount of power in a high-tech industry has begun to look for Big Data solutions to increase profits and reliability. Its engines and machine parts are fit with scores of sensors that monitor their operation and detect change in real time. Royce now employs Big Data in design, manufacture and after-sales crunching of data. With over 3TB data generated per manufacturing component a year, there is no doubt that there is a need for integration of Big Data. Read more at: http://www.forbes.com/sites/bernardmarr/2015/06/01/how-big-data-drives-success-at-rolls-royce/
The new thing about big data is that, the cost of getting the three V’s namely, Volume Velocity and Variety has become very cheap nowadays. So as we consume data, it influences us. In the past, we weren't very much concerned about being caught by camera but today’s surveillance of the whole population, makes us realize about the sensors around us. Crowd-funding sites are a treasure of such smart censored things. The evolution of data collection in a world where every output is also an input poses immense technical and ethical challenges. But it’s also a massive business opportunity, changing how we build, maintain, and recover almost everything in our lives. Read more about this article at: http://radar.oreilly.com/2015/01/the-promise-and-problems-of-big-data.html?cmp=tw-data-na-article-stca15_72724
Nowadays bridges are not inspected visually but by teams of engineers who dangle beneath the bridge on cables or look up at the bridge from an elevated work platform because it has a few problems associated with it like it is a slow, dangerous, expensive process and even the most experienced engineers can overlook cracks in the structure or other critical deficiencies. the process comes with a lot of loopholes. A new detection system has been developed by Babak Moaveni, an assistant professor of civil and environmental engineering at Tufts School of Engineering, smart sensors which are attached permanently to bridge beams and joints, can continuously record vibrations and process the recorded signal. Changes in the vibration response can signify damage, he says. A wireless system that would use autonomous flying robots (quad-copters) to hover near the sensors and collect data while taking visual images of bridge conditions, is also being developed. The drone-like robots would transmit data to a central collection point for analysis by Moaveni in collaboration with Tufts Assistant Professor of Electrical and Computer Engineering Usman Khan. Read more at:
