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Humans are pretty good at looking at a single two-dimensional image and understanding the full three-dimensional scene that it captures. Artificial intelligence agents are not.
Remote sensing monitoring has become the important means for land and resources departments to strengthen supervision. Aiming at the problems of low monitoring frequency and poor data currency in curr...
Many Internet-of-Things (IoT) applications require real-time analytics to maintain situational awareness and make decisions for quick action. Most real-world IoT environments will involve: · Multi-la...
RTAS’17, the 23rd in a series of annual conferences sponsored by the IEEE, will be held in Pittsburgh, PA, USA, as part of the Cyber-Physical Systems Week (CPSWeek) in April, 2017. CPS Week 2017 will ...
SCRAMBL is a dedicated workshop to present and discuss leading research results, use cases, innovative ideas, challenges, and opportunities that arise from adopting real-time big data analytics at...
3-Dimensional terrain visualization has been widely used in the fields, such as games, geographic information system (GIS), remote sensing (RS) and virtual reality (VR). Rendering large scale 3D terra...
We construct a framework for measuring economic activity at high frequency, potentially in real time. We use a variety of stock and flow data observed at mixed frequencies (including very high frequen...
We sketch a framework for monitoring macroeconomic activity in real-time andpush it in new directions. In particular, we focus not only on real activity, which has received most attention to date, but...
In “Optimized slowdown in real-time task systems”, Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power c...
We present a generic tool, Kartograph, that lifts the fog of war in online real-time strategy games by snooping on the memory used by the game. Kartograph is passive and cannot be detected remotely. M...
To honor Martin Feldstein抯 distinguished leadership and extraordinary contributions to the National Bureau of Economic Research, the Feldstein Lecture addresses an important question in applied econ...
Real-time household-level feedback has the potential to improve the eciency of electricity consumption. This feedback allows a household to obtain a better understanding of the relationship between ...
This paper analyzes the results of a critical peak pricing (CPP) experiment involving 123 residential customers of the City of Anaheim Public Utilities (APU) over the period June 1, 2005 to October ...
This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England a...
In “Optimized slowdown in real-time task systems”, Jejurikar and Gupta investigated energy savings due to optimal slowdown of periodic tasks in real-time task systems, where tasks have varying power c...

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