Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.

Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.

Abstract: In some aspects, there is provided a method. The method may include estimating, based on a first signal-phase in a plurality of signal-phases associated with an input signal, a first channel impulse response; estimating, based on a second signal-phase in the plurality of signal-phases, a second channel impulse response; selecting, based on at least one characteristic of the estimated first channel impulse response and the estimated second channel impulse response, a signal-phase from the plurality of signal-phases; equalizing, based on the selected signal phase, the input signal to produce an equalized signal; and outputting, to a symbol detector, the equalized signal. Related systems, methods, and articles of manufacture are also disclosed.

Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.

Abstract: A smart mask includes a first material layer, at least one display, a first sensor, and a control module. The first material layer is configured to cover a portion of a face of a person. The at least one display is connected to the first material layer and configured to display images over a mouth of the person. The first sensor is configured to detect movement of the mouth of the person and generate a signal indicative of the movement of the mouth. The control module is configured to receive the signal and display the images on the display based on the movement of the mouth.

Abstract: This invention eliminates the need for “capacitor coupling” or “transformer coupling,” and the associated undesirable parasitic capacitance and inductance associated with these coupling techniques when designing high frequency (˜60 GHz) circuits. At this frequency, the distance between two adjacent stages needs to be minimized. A resonant circuit in series with the power or ground leads is used to isolate a biasing signal from a high frequency signal. The introduction of this resonant circuit allows a first stage to be “directly coupled” to a next stage using a metallic trace. The “direct coupling” technique passes both the high frequency signal and the biasing voltage to the next stage. The “direct coupling” approach overcomes the large die area usage when compared to either the “AC coupling” or “transformer coupling” approach since neither capacitors nor transformers are required to transfer the high frequency signals between stages.

Abstract: A smart spool is configured to be optically coupled between a pumping light source and optical point-loss sources in an optical fiber transmission line. The smart spool comprises a probe signal transmitter that transmits an optical probe signal into the transmission line. An optical detector receives probe signals scattered in the transmission line. A loss-measuring device is coupled to the optical detector and operable to measure aggregate losses in the transmission line and report the aggregate losses to a network manager. The spool comprises a fiber of sufficient length to offset the aggregated losses to enable a distributed Raman amplifier to pump the transmission line. The smart spool prevents the distributed Raman amplifier from shutting down and allows the distributed Raman amplifier to achieve entitled gain by pumping the fiber in the spool.

Abstract: A common-source Low Noise Amplifier (LNA) comprises a first spiral inductor coupled to a source of a first transistor, a second spiral inductor coupled to a drain of a second transistor, and a third inductor connecting the first transistor to the second transistor. The third inductor is configurable to enable a first capacitance to be coupled in parallel to form a bandpass filter. The first spiral inductor is configurable to enable a second capacitance to be coupled in parallel to form a resonant circuit. A variation of the LNA further includes a drain of a third transistor coupled to a gate of a fourth transistor with a first width, a source of the third transistor coupled to the resonant circuit, and an oscillator clock configured to operate at a first frequency that enables the third transistor, wherein the third transistor presents a first impedance to the resonant circuit, causing the resonant circuit to have a first bandwidth.

Abstract: Medicinal container bags are presented. Bags can include openers capable of sealing an opening of the bag. Disclosed bags further comprise electronic assemblies configured to detect opening or closing events as the openers move along the rims of the bag opening. The assemblies can compile usage data based on opener movement, and then provide the data to remote monitoring systems.

Abstract: An activity recognition system is disclosed. A plurality of temporal features is generated from a digital representation of an observed activity using a feature detection algorithm. An observed activity graph comprising one or more clusters of temporal features generated from the digital representation is established, wherein each one of the one or more clusters of temporal features defines a node of the observed activity graph. At least one contextually relevant scoring technique is selected from similarity scoring techniques for known activity graphs, the at least one contextually relevant scoring technique being associated with activity ingestion metadata that satisfies device context criteria defined based on device contextual attributes of the digital representation, and a similarity activity score is calculated for the observed activity graph as a function of the at least one contextually relevant scoring technique, the similarity activity score being relative to at least one known activity graph.

Abstract: Techniques are provided that include identifying robust features within a training image. Training features are generated by applying a feature detection algorithm to the training image, each training feature having a training feature location within the training image. At least a portion of the training image is transformed into a transformed image in accordance with a predefined image transformation. Transform features are generated by applying the feature detection algorithm to the transformed image, each transform feature having a transform feature location within the transformed image.

Abstract: A system for analyzing scene traits in an object recognition ingestion ecosystem is presented. In some embodiment, a trait analysis engine analyzes a digital representation of a scene to derive one or more features. The features are compiled into sets of similar features with respect to a feature space. The engine attempts to discover which traits of the scene (e.g., temperature, lighting, gravity, etc.) can be used to distinguish the features for purposes of object recognition. When such distinguishing traits are found, an object recognition database is populated with object information, possibly indexed according to the similar features and their corresponding distinguishing traits.

Abstract: Systems and methods of verifying the results of an initial image recognition process are presented. A verification engine can receive a set of candidate images corresponding to the results of an image recognition process performed on a captured query image. The verification engine can determine an appropriate verification technique to apply to the images of the candidate set, and classify, re-rank or otherwise re-organize the candidate set such that the best match from the candidate set is confirmed as a proper match.

Abstract: Medicinal container bags are presented. Bags can include openers capable of sealing an opening of the bag. Disclosed bags further comprise electronic assemblies configured to detect opening or closing events as the openers The assemblies can compile usage data based on opener movement, and then provide the data to remote monitoring systems.