With the growing emergence of ambient intelligence, ubiquitous computing, sensor networks and wireless networking technologies, "ubiquitous networked robotics" is becoming an active research domain of intelligent autonomous systems.
According to the model of fog computing sensor nodes are not only used to collect data from sensors and automation devices, but also for their structuring, aggregation, encryption and transmission to the control center.
Furthermore, it seems that the technologies (e.g., mobile computing, cloud computing, sensor networks) for ubiquitous computing (with specific reference to u-commerce) [35] can be effectively employed for blended shopping.
And this year's nominees are innovations in computing sensors for touch, sight, hearing, taste and smell.
There are lots of reasons for the current boom (some would say bubble) in data, including cheap computing, sensors everywhere and lots of new algorithms.
Driven by improvements in computing power, cloud computing, sensors and new software tools to retrieve and analyze large data sets, investment in information processing has also surged, reaching $582 billion in real terms in 2012, nearly double the level a decade ago.
Nanotechnology is important as miniaturization apparently improvises applications in areas such as computing, sensors, and biomedical research [1, 2, 3].
In the field of affective computing, sensors and other devices are also getting very good at observing and interpreting facial features, body posture, gestures, speech and physical states, another key ingredient in emotional intelligence.
More precisely, the topography of power was estimated via i) computing, sensor-wise and epoch-wise, the power spectral density by means of Welch's averaged modified periodogram [53]; ii) averaging the spectra across epochs; and iii) integrating the spectra over the whole frequency range.
STD stands for the standard deviation of the set of computed sensor responses.
These were developed in parallel, including the new, third-generation vehicle that has enough redundancy in terms of compute, sensor and driving systems that you can safely remove the human driver for the vehicle.
