Data Quality and Query Cost in Pervasive Sensing Systems

Author(s):  
David Yates ◽  
Erich Nahum ◽  
James F. Kurose ◽  
Prashant Shenoy
2008 ◽  
Vol 4 (6) ◽  
pp. 851-870 ◽  
Author(s):  
David J. Yates ◽  
Erich M. Nahum ◽  
James F. Kurose ◽  
Prashant Shenoy

Sensors ◽  
2014 ◽  
Vol 14 (3) ◽  
pp. 5573-5594 ◽  
Author(s):  
Ruiyun Yu ◽  
Rui Liu ◽  
Xingwei Wang ◽  
Jiannong Cao

2018 ◽  
Vol 43 (12) ◽  
pp. 8195-8207
Author(s):  
Ahmed. A. A. Gad-ElRab ◽  
Almohammady S. Alsharkawy

Author(s):  
Martin Peckerar ◽  
Anastasios Tousimis

Solid state x-ray sensing systems have been used for many years in conjunction with scanning and transmission electron microscopes. Such systems conveniently provide users with elemental area maps and quantitative chemical analyses of samples. Improvements on these tools are currently sought in the following areas: sensitivity at longer and shorter x-ray wavelengths and minimization of noise-broadening of spectral lines. In this paper, we review basic limitations and recent advances in each of these areas. Throughout the review, we emphasize the systems nature of the problem. That is. limitations exist not only in the sensor elements but also in the preamplifier/amplifier chain and in the interfaces between these components.Solid state x-ray sensors usually function by way of incident photons creating electron-hole pairs in semiconductor material. This radiation-produced mobile charge is swept into external circuitry by electric fields in the semiconductor bulk.


2012 ◽  
Author(s):  
Nurul A. Emran ◽  
Noraswaliza Abdullah ◽  
Nuzaimah Mustafa

2013 ◽  
pp. 97-116 ◽  
Author(s):  
A. Apokin

The author compares several quantitative and qualitative approaches to forecasting to find appropriate methods to incorporate technological change in long-range forecasts of the world economy. A?number of long-run forecasts (with horizons over 10 years) for the world economy and national economies is reviewed to outline advantages and drawbacks for different ways to account for technological change. Various approaches based on their sensitivity to data quality and robustness to model misspecifications are compared and recommendations are offered on the choice of appropriate technique in long-run forecasts of the world economy in the presence of technological change.


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