Abstract: In an exemplary technique, speech input including one or more instructions is received. After the speech input has stopped, if it is determined that one or more visual characteristics indicate that further speech input is not expected, a response to the one or more instructions is provided. If it is determined that one or more visual characteristics indicate that further speech input is expected, a response to the one or more instructions is not provided.

Abstract: A method and an apparatus for identifying a heterogeneous graph and a property corresponding to a molecular space structure and a computer device are provided. The method includes: characterizing a topology structure included in a heterogeneous graph to generate feature information; generating feature vectors corresponding to key nodes on the topology structure included in the heterogeneous graph according to sampling information obtained by sampling the heterogeneous graph and the feature information; aggregating the feature vectors to generate a graph representation vector corresponding to the heterogeneous graph; and classifying the heterogeneous graph according to the graph representation vector to obtain a classification prediction result of the heterogeneous graph.

Abstract: Embodiments of the present invention provide a computer-implemented system and method for generating and searching a database containing all of the potential substructures (e.g., metabolites) of a chosen complex molecule based on minimum cleavable units (MCUs) of the chosen complex molecule, wherein each record in the generated database suitably defines the molecular weight and physical arrangement of each substructure. Embodiments of the invention also provide a user interface and a search engine for searching the database based on a query molecular weight (or query molecular weight range) to identify all of the substructures having a total molecular weight matching the query molecular weight or range. Embodiments of the invention are also capable of transmitting to a display device operated by an end user a description and/or a graphical representation of every identified substructure of the chosen complex molecule.

Abstract: A method of balancing an assembly of a wheel and a tire, may include measuring a maximum-value position of RFV of a tire and marking the measured maximum-value position, as a tire reference position, measuring each of the internal runout and external runout of the wheel, extracting a primary component of a waveform of the measured internal runout and a primary component of a waveform of the measured external runout and setting the former and latter measured primary components to be internal and external runout waveforms, respectively, synthesizing the internal and external runout waveforms and marking a minimum-value position on a synthesis waveform resulting from the synthesizing, as a wheel reference position, and aligning the tire reference position on the tire and the wheel reference position on the wheel to have the same phase and assembling the wheel and the tire.

Abstract: Systems, methods, and non-transitory computer readable media are configured to receive a signal. One or more data streams associated with one or more metrics associated with the signal can be determined. The one or more data streams can be sampled to generate data samples. A grade associated with the signal can be generated based on the data samples. The grade can indicate quality of the signal.

Abstract: An embodiment may involve obtaining a set of pre-defined features and a new document; extracting a subset of the pre-defined features from within new document; applying a natural language model to the new document, wherein the natural language model was pre-trained using scientific or medical literature and fine-tuned using a corpus of documents; applying a feature-based model to the subset of the pre-defined features extracted from the new document, wherein the feature-based model was trained with the pre-defined features and the respective labels of the documents; and applying an aggregation model to the classifications of the new document produced by the natural language model and the feature-based model, wherein the aggregation model was trained with prior classifications produced by the natural language model and the feature-based model so that the aggregation model produces a further classification of the new document representing its relevance to pharmacovigilance.

Abstract: Anomalies in a target object can be detected and diagnosed using improved Mahalanobis-Taguchi system (MTS) techniques. For example, an anomaly detection and diagnosis (ADD) system can receive a set of measurements associated with attributes of a target object. A Mahalanobis distance (MD) can be determined using a generalized inverse matrix. An abnormal condition can be detected when the MD is greater than a predetermined threshold value. The ADD system can determine an importance score for each measurement of a corresponding attribute. The attribute whose measurement has the highest importance score can be determined to be responsible for the abnormal condition.

Abstract: Methods are provided for determining values for a set of parameters for multiple locations in a formation by inversion of formation data obtained from a plurality of different logging tools. The inversion of the formation data is constrained by certain formation data that characterizes each particular location in the formation as obtained from at least one of the plurality of different logging tools. In one embodiment, the set of parameters for each particular location in the formation includes an apparent cementation factor mn and a formation water saturation Sw, which can be derived by inverting dielectric data that characterizes the particular location in the formation as obtained from a dielectric logging tool. The methods can also be adapted to characterize a porous medium such as reservoir rock, particular with regard to laboratory analysis of porous media samples.

Abstract: An artificially intelligent irrigation system on a property may include an irrigation management server with the information for the irrigation system. An artificial intelligence feature may retrieve and access inputs from a plurality of resources or data sources. These sources may include current weather data, historical weather data, current moisture levels, historical moisture levels, sensor information from sensors on or near the property, water utility usage data, and other data. Other inputs may be events on the property as well the frequently or consistently occur and may also be considered historical data. The artificial intelligence feature may manage the schedule and predict the upcoming water schedule based on this information and appropriately water, or not water, or change duration of watering or output of watering based on the information gathered without human intervention.

Abstract: Systems and methods for efficient management of an audio/video conferences is disclosed. The method includes receiving an audio question from a first user of a plurality of users connected to a conference, recording the audio question and preventing an immediate transmission of the audio question to the plurality of users connected to the conference, analyzing an audio portion of the conference to identify a time for transmitting the audio question to the plurality of users connected to the conference, and transmitting the audio question to the plurality of users at the identified time.

Abstract: A digital assistant is determined from a plurality of digital assistants in a vehicle for performing a vehicle function. A speech message of a vehicle occupant is received via a digital assistant from the plurality of digital assistants in the vehicle. A command of the speech message is ascertained via the digital assistant. An execution authorization of the vehicle occupant is determined for the command of the speech message via the digital assistant. If the vehicle occupant has an execution authorization for the command of the speech message, command of the speech message is executed via the digital assistant in order perform the vehicle function in the vehicle.

Abstract: A method, computer program product, and computing system for receiving a speech signal from each microphone of a plurality of microphones, thus defining a plurality of signals. One or more noise signals associated with microphone self-noise may be received. One or more self-noise-based augmentations may be performed on the plurality of signals based upon, at least in part, the one or more noise signals associated with microphone self-noise, thus defining one or more self-noise-based augmented signals.

Abstract: An electronic device is provided. The electronic device includes a microphone to receive audio, a communicator, a memory configured to store computer-executable instructions, and a processor configured to execute the computer-executable instructions. The processor is configured to determine whether the received audio includes a predetermined trigger word; based on determining that the predetermined trigger word is included in the received audio; activate a speech recognition function of the electronic device; detect a movement of a user while the speech recognition function is activated; and based on detecting the movement of the user, transmit a control signal, to a second electronic device to activate a speech recognition function of the second electronic device.

Abstract: An eyewear device with camera-based compensation that improves the user experience for user's having partial blindness or complete blindness. The camera-based compensation determines features, such as objects, and then converts the determined objects to audio that is indicative of the objects and that is perceptible to the eyewear user. The camera-based compensation may use a region-based convolutional neural network (RCNN) to generate a feature map including text that is indicative of objects in images captured by a camera. The feature map is then processed through a speech to audio algorithm featuring a natural language processor to generate audio indicative of the objects in the processed images.

Abstract: According to one embodiment, a device management apparatus includes processing circuitry. The processing circuitry acquires information indicating occurrence of a first failure prediction of a first device. The processing circuitry adjusts detection sensitivity of a second failure prediction of a second device relating to the information based on relevance between the first device and the second device. The second device is different from the first device.

Abstract: Disambiguating question answering responses by receiving voice command data associated with a first user, determining a first user identity according to the first user voice command data, determining a first user activity context according to the first user voice command data, determining a first response for the first user, receiving voice command data associated with a second user, determining a second user identity according to the second user voice command data, determining a second user activity context according to the second user voice command data, determining a second response for the second user, determining a predicted ambiguity between the first response and the second response, altering the first response according to the predicted ambiguity, and providing the first response and the second response.

Abstract: A method and a system are disclosed for detecting, isolating and estimating a degradation of a corresponding component of an actuator controlled by an actuator command signal, the method comprising obtaining a control signal of the actuator; obtaining a signal indicative of a displacement of the actuator; computing an envelope of admissible values for the displacement of the actuator; determining if the displacement of the actuator is outside the computed envelope and in the case where the displacement of the actuator is outside the computed enveloped computing an estimation of each parameter and state of the actuator; identifying at least one corresponding parameter responsible for causing the actuator displacement to be outside the computer envelope and providing an indication of the at least one corresponding parameter.

Abstract: A method and an apparatus are provided that may be applicable to refrigeration assets, including refrigeration plants and cold-storage facilities comprising large numbers of refrigeration assets. The performance of refrigerators and refrigeration devices may be monitored based on temperature and electrical current and other measurements known or deemed to be correlated with refrigeration performance. Refrigeration assets in need of repair may be identified and a repair process may be specified, classified, managed and optimized. The immediate effectiveness and long-term persistence of repairs may be determined over time. The refrigeration assets may be classified according to reliability, performance, make, model and manufacturer. The effectiveness of repairs may be classified based on measured performance results following repairs.

Abstract: Systems and methods for remote monitoring of mechanical fire suppression systems are provided. For example, some embodiments generally provide for a smart fire suppression system with integrated sensors and communication technology to monitor the current state of the fire suppression system and notify various monitoring platforms, service providers, equipment manufacturers and/or others of the current state. In some embodiments, various sensors (e.g., micro switches) can be used to detect and report the status of the cartridge, activation status of the system, and/or the status of the detection line. Additional sensors and actuators may be also be included within the smart fire suppression system to allow monitoring of different states (e.g., temperature) and control the appliance and/or building utilities.

Abstract: Real-time quality control of a culture for bioproduction is facilitated using machine learning. In this approach, real-time process data for a set of parameters for a current production run is received. Based on this process data, a prediction is made using an instance of a machine learning model that has been trained on process data from past production or development runs. The instance is uniquely associated to a particular culture day and thus independent of any other instance of the machine learning model (for other culture days). Based on the prediction, a quality control recommendation for the current production run is then made. Several different types of predictions are enabled, and various different recommendations are provided based on the predictions.