Abstract: Methods and systems are provided for processing PFAS-contaminated waste via thermomechanochemical (TMC) processing. In one example, a system may include a TMC processing chamber including a milling system and coupled to a heating system, the heating system configured to co-operate with the milling system to process the waste material. A plurality of containers including the waste material in one or more of a liquid-solid state, a semi-wet or slurry solid state, and a dry solid state are coupled to the TMC chamber.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other tissue or other body portion captured using a mobile device, such as a smartphone or tablet. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: Techniques and systems include predicting various health conditions using a photoplethysmography (PPG) signal or a video signal based on images of a patient's fingertip or other body portion captured using a mobile device. The video signal may be transformed into a pseudo PPG signal to measure blood volume changes in the patient's blood flow to derive data indicating a disease state or health-related characteristic, such as blood oxygen level, blood glucose level, heart rate variability, hemoglobin, respiration rate, or arrhythmia. Techniques involve real-time environment assessment and problematic issue detection, training an artificial intelligence (AI) model to measure signal quality so as to select high-quality signals from a range of signals, and domain adaption and transfer learning to make use of publicly available datasets.

Abstract: Techniques for providing a distributed standards registry are provided. A DSR system may include a plurality of distributed standards registry participants that are collectively configured to provide control logic for the distributed standards registry using a consensus voting mechanism to make control decisions. The DSR system includes include a distributed ontology model library maintained on the plurality of distributed standards registry participants and storing a plurality of ontology models, and a distributed federation broker registry maintained across the plurality of distributed standards registry participants.

Abstract: Embodiments of the innovation relate to an emotional quality estimation device comprising a controller having a memory and a processor, the controller configured to execute a training engine with labelled training data to train a neural network and generate a classroom analysis machine, the labelled training data including historical video data and an associated classroom quality score table; receive a classroom observation video from a classroom environment; execute the classroom analysis machine relative to the classroom observation video from the classroom environment to generate an emotional quality score relating to the emotional quality of the classroom environment; and output the emotional quality score for the classroom environment.

Abstract: Techniques for providing a distributed standards registry are provided. A DSR system may include a plurality of distributed standards registry participants that are collectively configured to provide control logic for the distributed standards registry using a consensus voting mechanism to make control decisions. The DSR system includes include a distributed ontology model library maintained on the plurality of distributed standards registry participants and storing a plurality of ontology models, and a distributed federation broker registry maintained across the plurality of distributed standards registry participants.

Abstract: Devices and methods for operating a diaphragm compressor. Embodiments of the present disclosure comprise an oil piston being driven to pressurize work oil against the diaphragm of the compressor. In embodiments, an injection pump provides a supplemental flow of work oil in the region of pressurized fluid, and such pump may be part of an actively controlled system. In embodiments, a pressure relief valve vents an overpump flow of work oil, and such valve may be variable. Embodiments provide feedback and control mechanisms, including control of the injection pump and the relief valve.

Abstract: Some embodiments are directed to a motion detector configured to classify an environment as quiet or motion. The motion detector is configured to estimate if the frequency bins in a motion signal correspond to a motion source in the environment or to a noise source in the environment. Some embodiments are directed to a luminaire comprising a motion detector.

Abstract: Some embodiments are directed to a motion detector configured to classify an environment as quiet or motion. The motion detector is configured to estimate if the frequency bins in a motion signal correspond to a motion source in the environment or to a noise source in the environment. Some embodiments are directed to a luminaire comprising a motion detector.

Abstract: Examples of apparatuses and methods described herein may provide personalized audio health sensing to identify individuals based on their health sounds. A microphone may receive an audio sample including speech utterance and cough. A computing device may process the audio sample and analyze the audio sample to predict whether the audio sample is produced by a known user. The computing device may include a neural network that processes and analyzes the audio sample.

Abstract: Techniques for providing a distributed standards registry are provided. A DSR system may include a plurality of distributed standards registry participants that are collectively configured to provide control logic for the distributed standards registry using a consensus voting mechanism to make control decisions. The DSR system includes include a distributed ontology model library maintained on the plurality of distributed standards registry participants and storing a plurality of ontology models, and a distributed federation broker registry maintained across the plurality of distributed standards registry participants.

Abstract: Methods and systems for a meta federation broker extend requests for computing services across multiple different cloud computing environments using ontology models. The meta federation broker may receive, from a federation participant, a federation participant query that includes semantic query data. At least one federation service from a plurality of federation services can be determined, based on processing the federation participant query and ontological data defining a ontology model, each ontology model describing federation services based on relationships between components of a federated cloud computing environment. The meta federation broker can validate a federation cloud broker that provides the at least one federation service to the federation participant and facilitate brokering of the at least one federation service to the federation participant by the federation cloud broker.

Abstract: Systems and methods for a progressive network connectivity architecture allow companies to selectively enable and disable network or cloud-based services according to customer and/or internal requirements. Depending on the application and/or environment, connected elements may be progressively connected to the cloud to facilitate sensing, actuation, data capture, data storage, or data processing in increasing or decreasing connected environments. Each connected element may be operated or utilized progressively in various connected environments, from completely isolated to completely connected.

Abstract: Embodiments of the innovation relate to an emotional quality estimation device comprising a controller having a memory and a processor, the controller configured to execute a training engine with labelled training data to train a neural network and generate a classroom analysis machine, the labelled training data including historical video data and an associated classroom quality score table; receive a classroom observation video from a classroom environment; execute the classroom analysis machine relative to the classroom observation video from the classroom environment to generate an emotional quality score relating to the emotional quality of the classroom environment; and output the emotional quality score for the classroom environment.

Abstract: We describe a capnometer for detecting a concentration of a component in a gas, wherein said gas is inhaled and/or exhaled by a patient, said capnometer comprising: an air flow region through which said gas passes to and/or from said patient's lung; a mid-IR semiconductor emitter configured to provide IR light at a wavelength in the range 3-5 ?m; a mid-IR semiconductor detector to detect said IR light; a reflector to reflect said IR light emitted by said emitter; wherein said emitter, said detector and said reflector are arranged such that said IR light emitted by said emitter passes through said air flow region via said reflector to said detector. The reflector is selected from a Fresnel reflector and a reflective diffractive optical element, such as.a Fresnel zone plate.

Abstract: Disclosed herein is a device for measuring root pulling force (RPF) in a plant. The RPF device can comprise a plant grasping mechanism, as well as a force measurement sensor. The device can be automatic, so that the “hand of man” is not required to exert force on the plant while the root pulling force of the plant is being measured. Also disclosed is a root pulling force motion mechanism, which brings the RPF device into proximity of a plant to be measured. Further disclosed is a method for measuring root pulling force of a plant.

Abstract: A method facilitates the use of facial images through anonymization of facial images, thereby allowing people to submit their own facial images without divulging their identities. Original facial images are accessed and perturbed to generate synthesized facial images. Personal identities contained in the original facial images are no longer discernable from the synthesized facial images. At the same time, each synthesized facial image preserves at least some of the original attributes of the corresponding original facial image.

Abstract: Apparatus, methods, and articles of manufacture for implementing crowdsourcing pipelines that generate training examples for machine learning expression classifiers. Crowdsourcing providers actively generate images with expressions, according to cues or goals. The cues or goals may be to mimic an expression or appear in a certain way, or to “break” an existing expression recognizer. The images are collected and rated by same or different crowdsourcing providers, and the images that meet a first quality criterion are then vetted by expert(s). The vetted images are then used as positive or negative examples in training machine learning expression classifiers.

Abstract: In selected embodiments, one or more wearable mobile devices provide videos and other sensor data of one or more participants in an interaction, such as a customer service or a sales interaction between a company employee and a customer. A computerized system uses machine learning expression classifiers, temporal filters, and a machine learning function approximator to estimate the quality of the interaction. The computerized system may include a recommendation selector configured to select suggestions for improving the current interaction and/or future interactions, based on the quality estimates and the weights of the machine learning approximator.