The Internet of Things (combined with big data) is reaching further into our lives every day. And while some of these innovations are just super cool, others may need to get the kinks ironed out before they become part of our everyday lives.
Ah! The solution - Once you have built the obvious 'algorithms' and run out of ideas, get the 'analytics system' to develop more advanced 'algorithms' - you will definitely need an 'algorithm' to do that ;)
The first Mid-Atlantic Aviation Partnership at Virginia Tech test flight using a fixed-wing unmanned aircraft to inspect an energy pipeline route—with a piloted chase plane following behind to ensure safety beyond the ground observers' sight line...
Companies are finding it challenging to capture the full value of revolutionary breakthroughs in digital technology. Many have used digital technology to drive down costs and become more efficient, which is akin to “looking digital,” an important but surface-level change. Some, however, are taking things further and transforming data into new revenue and new sources of value.
Europe needs to pursue a different strategy from Silicon Valley if it is going to reap the social and economic benefits of big data, according to Dirk Helbing, Professor of Computational Social Science at ETH Zurich, who aims to create an open, real-time data stream from the Internet of Things.
In 2014, 1,215 rhinos were killed in South Africa for their horns, which end up in Asia as supposed cures for a variety of ailments. An estimated 30,000 African elephants were slaughtered last year for their tusks to be turned into trinkets.
Proactive Asset Management with IIoT and Analytics ARC Advisory Group (blog) With the growing adoption of device networking, more assets have the capability to provide data for proactive asset management.
Gary Bamford's insight:
The bathtub is not really the best place to look for eureka moments!
Intelligent Connectivity for Seamless Urban Mobility explores a future vision for urban mobility which includes new choices for individual trip-making, better information for smarter decision-making, and system optimization to utilize infrastructure efficiently; all in service of fostering a seamless, safe and sustainable travel experience.
This paper presents a model of urban traffic congestion that allows for hypercongestion. Hypercongestion has fundamental importance for the costs of congestion and the effect of policies such as road pricing, transit provision and traffic management, treated in the paper. In the simplest version of the model, the unregulated Nash equilibrium is also the social optimum among a wide range of potential outcomes and any reasonable road pricing scheme will be welfare decreasing. Large welfare gains can be achieved through road pricing when there is hypercongestion and travelers are heterogeneous.
Fosgerau, Mogens (2015): Congestion in the bathtub.
Cloud storage business has truly taken off in the past couple of years. According to a Markets And Markets study, the public/private cloud storage industry is expected to be worth $56.57 billion by 2019.
Despite the widespread availability of information concerning public transport coming from different sources, it is extremely hard to have a complete picture, in particular at a national scale. Here, we integrate timetable data obtained from the United Kingdom open-data program together with timetables of domestic flights, and obtain a comprehensive snapshot of the temporal characteristics of the whole UK public transport system for a week in October 2010. In order to focus on multi-modal aspects of the system, we use a coarse graining procedure and define explicitly the coupling between different transport modes such as connections at airports, ferry docks, rail, metro, coach and bus stations. The resulting weighted, directed, temporal and multilayer network is provided in simple, commonly used formats, ensuring easy access and the possibility of a straightforward use of old or specifically developed methods on this new and extensive dataset.
The multilayer temporal network of public transport in Great Britain Riccardo Gallotti & Marc Barthelemy
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