Miniature spectrometer data analytics for food fraud

A Fuzzy TOPSIS Approach for Big Data Analytics Platform Selection

Big data sizes are constantly increasing. Big data analytics is where advanced analytic techniques are applied on big data sets. Analytics based on large data samples reveals and leverages business change. The popularity of big data analytics platforms, which are often available as open-source, has not remained unnoticed by big companies. Google uses MapReduce for PageRank and inverted indexes....

Miniature Neutron-Alpha Activation Spectrometer

We are developing a miniature neutron-alpha activation spectrometer for in-situ analysis of chem-bio samples, including rocks, fines, ices, and drill cores, suitable for a lander or Rover platform for Mars or outer-planet missions. In the neutron-activation mode, penetrating analysis will be performed of the whole sample using a y spectrometer and in the ex-activation mode, the sample surface w...

Fraud Detection and Prevention: a Data Analytics Approach

MEMS-based miniature near-infrared spectrometer for application in environmental and food monitoring

We present a hybrid MEMS (micro-electromechanical systems) based spectrometer of the size of a sugar cube, fabricated at the clean room facilities of Fraunhofer IPMS, Dresden. This SGS (scanning grating spectrometer) is designed for integrated spectroscopic applications in the field of food quality analysis and food processing technology. Using another, larger, MEMS-based scanning grating spect...

Miniature, sub-nanometer resolution Talbot spectrometer.

Miniaturization of optical spectrometers has a significant practical value as it can enable compact, affordable spectroscopic systems for chemical and biological sensing applications. For many applications, the spectrometer must gather light from sources that span a wide range of emission angles and wavelengths. Here, we report a lens-free spectrometer that is simultaneously compact (<0.6  cm<s...