Abstract: A system and method for assessing a supply chain for a perishable product. In various embodiments, the present invention provides a quality code for a perishable product which encodes a cut-to-cool time, transportation quality and accumulated shelf-life loss into a compact, modular, and simple to read format. The system and method also provide feedback to address any differences between the quality code and one or more observed qualities of the perishable product at a destination.

Abstract: In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude elements corresponding to the first interval; identifying a shortest data sequence corresponding to a second interval; forming a second segment of the representative data sequence based on similarity values associated with the data sequences; and concatenating the first segment and the second segment of the representative data sequence.

Abstract: A system and method for assessing a supply chain for a perishable product. In various embodiments, the present invention provides a quality code for a perishable product which encodes a plurality of the most important performance metrics of the cold chain for the perishable product, including food quality oriented measures such as cut-to-cool time, transportation quality and accumulated shelf-life loss, and food safety oriented measures such as most probable number range for microorganism growth into a compact, modular and simple to read format.

Abstract: Methods and systems for network scanning activity detection are disclosed. Various embodiments of the methods and systems may include: obtaining raw sensor data for a user; generating spectrotemporal representation data corresponding to the raw sensor data; applying the spectrotemporal representation data to a trained deep learning model; receiving a classification indication from the trained deep learning model; and providing a human activity indication of the user based on the classification indication. Other aspects, embodiments, and features are also claimed and described.

Abstract: In accordance with some embodiments, systems, methods, and media for processing and representing multivariate sensor information gathered from multiple sources are provided. In some embodiments, the method comprises: receiving a data sequences from respective sources; identifying a shortest data sequence that corresponds to a first interval; calculating, for pairs of data sequences, a similarity value over the first interval; forming a first segment of a representative data sequence that is a weighted combination of the data sequences over the first interval based on similarity values associated with the data sequences; truncating at least a subset of data sequences to exclude elements corresponding to the first interval; identifying a shortest data sequence corresponding to a second interval; forming a second segment of the representative data sequence based on similarity values associated with the data sequences; and concatenating the first segment and the second segment of the representative data sequence.

Abstract: A system and method of steady-state visual evoked potential (SSVEP) frequency detection using bio-inspired filter banks (BIFB) includes, acquiring electroencephalographic (EEG) signals from a subject in response to a repetitive visual stimulus, estimating the power spectral density (PSD) of the channel of the EEG signals including at least one SSVEP response, extracting one or more SSVEP response features from the estimated PSD of the channel using a bio-inspired filter bank (BIFB) and classifying the extracted SSVEP response features to determine if the detected SSVEP response frequency from the EEG signals acquired from the subject substantially matches the repetition frequency of the repetitive visual stimulus.

Abstract: A system and method for assessing a supply chain for a perishable product. In various embodiments, the present invention provides a quality code for a perishable product which encodes a plurality of the most important performance metrics of the cold chain for the perishable product, including food quality oriented measures such as cut-to-cool time, transportation quality and accumulated shelf-life loss, and food safety oriented measures such as most probable number range for microorganism growth into a compact, modular and simple to read format.

Abstract: The invention concerns a method (400) and system (100) for bandwidth extension of voice for improving the quality of voice in a communication system. The method can include the steps of receiving (412) an unknown voice signal (105), identifying (414) the voice bandwidth (625) of the received unknown voice signal and establishing (418) a region of support (636) in view of the spectral content of the received voice signal. The method can further include the step of selecting (428) a combination of mapping databases (210, 212, 214) from a plurality of mapping databases. Each mapping database can be associated with a predetermined bandwidth extension range for extending the voice bandwidth.