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Now MIT spinout Sociometric Solutions is developing a system it calls "moneyball for business," which uses sensor identification badges and analytics tools to track behavioral data on employees, providing insights that can increase productivity.
The models are designed on the basis of the sensor identification procedures and they are used to interpret distance measurements by sensory fusion algorithms.
The attenuation and distortion caused by a snow cover can degrade passive acoustic sensor identification and distance estimation, but these detrimental effects can be mitigated by proper design of signal processing algorithms.
Simulation results show that the faulty sensor identification time decreases with the increase of prediction horizon illustrating advantages of the predictive analytical redundancy based algorithms against single point faults.
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Such environments are equipped with a wide range of sensors, identification tags and interaction devices, capable of sensing, recording, interpreting and reacting to human activity and presence.
Figure 1 Example of an application model with heterogeneous sensors of visual sensors and identification sensors.
The main problem is how to achieve data association of position information by a visual sensor with identification information by an identification sensor under these issues.
Subsection 'Sensor calibration, identification, and verification' presents the calibration and identification processes of the developed sensor and validates the biomimetic performance of the sensing structure.
Then, we test the performance of a biometric recognition system and show that improving the sensor model identification step can benefit the iris sensor interoperability.
The aim of this paper is to propose an algorithm based on convolutional neural networks (CNN) for iris sensor model identification.
After that, if at least two -locators are identified, the sensor conducts identification scheme I5 to detect other -locators.
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