Abstract: A method that includes receiving information indicative of a location of a vehicle. The vehicle has an occupied-vehicle state that includes an occupant state. This occupant state represents the state of one or more occupants within the vehicle. The method further includes receiving information indicative of this occupant state. The information indicative of the occupant state results from an observation by a detector that is in communication with an infotainment system within the vehicle. The method continues with using both the information indicative of the occupant state and the information indicative of the location to select an advertisement from a database of advertisements. This selected advertisement is one that is ultimately for presentation to the occupant.

Abstract: A method for facilitating automated information management by using predictive analytics is disclosed. The method includes receiving, via a graphical user interface, a request that includes a question in a natural language format; generating, by using a first model, queries based on the question, each of the queries corresponding to a stand-alone component of the question; identifying, from a data repository, data sections for each of the queries, each of the data sections relating to a page in an electronic document; determining, by using a second model, contextual information for each of the queries from the corresponding data sections; and generating, by using a third model, a response for the request based on the queries and the corresponding contextual information.

Abstract: An artificial intelligence (AI) and machine learning (ML) based graphical user interface (GUI) system for early detection of depression symptoms using facial expression recognition and electroencephalogram is provided via receiving image data of a biological subject under examination for depression; receiving, from the biological subject, electroencephalogram data; analyzing the image data, via a first machine learning model, to identify an emotional state conveyed by a face of the biological subject; analyzing the electroencephalogram data, via a second machine learning model, to identify a severity level of depression in the biological subject; and providing the emotional state identified by the first machine learning model and the severity level identified by the second machine learning model to a graphical user interface.

Abstract: A computation system and method for early detection of sepsis and infection in patients uses personalized detection models. The system stores patient health data for many patients, including symptoms, vital signs and disease conditions obtained from medical records and wearable/personal sensors. Multiple sepsis prediction models are then trained based on identifying cohorts of similar patients using a similarity measure or score. Each model is trained using a different cohort or similarity measure. A patient is then monitored, and the model trained on the most similar set of patients is selected to monitor the patient and identify sepsis. Further as the patient's symptoms or vital signs change, the choice of the most similar patients, and associated model, is reassessed and the most appropriate model based on the patient's current state is selected. This ensures that as the patient's symptoms change the best model is used to assess likelihood of sepsis to ensure rapid and appropriate intervention.

Abstract: In one aspect, at least a first device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a first application (app) at a first device, where the first app is configured for presenting content stereoscopically in three dimensional (3D) space using a headset. The instructions are also executable to use the first app to request, from a second app, a virtual display in a square orientation. The instructions are then executable to receive, from the second app, the virtual display in the square orientation and to use the first app to present, in 3D space on a display of the headset, the virtual display in the square orientation.

Abstract: A method that includes receiving information indicative of a location of a vehicle. The vehicle has an occupied-vehicle state that includes an occupant state. This occupant state represents the state of one or more occupants within the vehicle. The method further includes receiving information indicative of this occupant state. The information indicative of the occupant state results from an observation by a detector that is in communication with an infotainment system within the vehicle. The method continues with using both the information indicative of the occupant state and the information indicative of the location to select an advertisement from a database of advertisements. This selected advertisement is one that is ultimately for presentation to the occupant.

Abstract: A contextual answering system for processing a user spoken utterance and providing a response to the user spoken utterance may include a vehicle head unit configured to receive microphone signals indicative of a user utterance; and a processor programed to receive data indicative of a vehicle state, receive the user spoken utterance, perform semantic analysis on the user spoken utterance based at least in part on a context of the user spoken utterance and vehicle state, select a knowledge base as a source for information regarding the user spoken utterance based on the semantic analysis; and provide a response to the user spoken utterance from the selected knowledge base to the vehicle head unit.

Abstract: Aspects concern a method for predicting a path taken by a vehicle for a transport task comprising obtaining training data specifying paths taken, representing a set of valid paths as a Boolean formula, converting the Boolean formula into an OBBD[?] comprising, for each variable of a set of variables on which the Boolean formula operates, a decision node representing the variable, wherein the decision node has, for each assignment of a value to the variable represented by the decision node, an outgoing edge associated with the value, augmenting each outgoing edge of each decision node with a probability depending on the number of times the location represented by the decision node was visited in the paths specified by the training data elements and predicting a path for a given transport task by sampling an assignment of values to the variables by traversing the OBBD[?].

Abstract: In one aspect, a first device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a first application (app) to generate a first virtual display for rendering in a first canvas as part of a three-dimensional (3D) simulation. The instructions are also executable to execute a second app to generate a second virtual display for rendering in a second canvas as part of the 3D simulation. The instructions are then executable to concurrently render the first and second canvases at a headset as part of the 3D simulation.

Abstract: Existing systems for fault detection and classification have the disadvantage that they have limited or no capability for fault localization and root cause identification, probably due to the challenges associated with modeling the nonlinear interactions among process variables and capturing the nonstationary behavior that is typical of most industrial processes. The disclosure herein generally relates to industrial manufacturing systems, and, more particularly, to method and system for localization of faults in an industrial manufacturing plant. The system uses a perturbation based approach for fault localization, in which the system determines variables having dominant effect on identified faults, in terms of a perturbation score calculated for each of the variables.

Abstract: In one aspect, a device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a software development kit (SDK) to interface between a two-dimensional (2D) application (app) and a three-dimensional (3D) app. The instructions are also executable to identify, via the SDK, a callback from the 2D app. The callback indicates a uniform resource locator (URL) associated with a 3D model. The instructions are further executable to execute the SDK to indicate, to the 3D app, the 3D model for rendering in 3D space.

Abstract: In one aspect, a first device includes a processor and storage accessible to the processor. The storage includes instructions executable by the at least one processor to receive, from a second device, a first web real-time communication (WebRTC) stream. The first WebRTC stream includes first images associated with virtual content. The instructions are also executable to receive, from the second device, a second WebRTC stream. The second WebRTC stream includes second images from a camera in communication with the second device and is different from the first WebRTC stream. The second images include real-world red green blue (RGB) images from the camera. The instructions are then executable to execute alpha blending to generate a composite video in which the first images are overlaid, with at least partial transparency, on the second images. The instructions are also executable to stream the composite video to a third device.

Abstract: In one aspect, a first device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a first application (app) to generate a first virtual display for rendering in a first canvas as part of a three-dimensional (3D) simulation. The instructions are also executable to execute a second app to generate a second virtual display for rendering in a second canvas as part of the 3D simulation. The instructions are then executable to concurrently render the first and second canvases at a headset as part of the 3D simulation.

Abstract: In one aspect, at least a first device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a first application (app) at a first device, where the first app is configured for presenting content stereoscopically in three dimensional (3D) space using a headset. The instructions are also executable to use the first app to request, from a second app, a virtual display in a square orientation. The instructions are then executable to receive, from the second app, the virtual display in the square orientation and to use the first app to present, in 3D space on a display of the headset, the virtual display in the square orientation.

Abstract: In one aspect, at least one device includes at least one processor and storage accessible to the at least one processor. The storage includes instructions executable by the at least one processor to execute a first application (app) at the first device, where the first app is configured for converting actions in three dimensional (3D) space into actions in two dimensional (2D) space. The instructions are also executable to identify a first 3D action transpiring in 3D space, use the first app to convert the first 3D action into a first 2D action, and provide the first 2D action to a second app executing at the first device. The second app is different from the first app.

Abstract: Described herein is an apparatus and method for removing moisture and/or sorbates from airstream and/or other fluid. The system comprises a preconditioning desiccant wheel and a main desiccant wheel. The preconditioning desiccant wheel comprises of at least two first sectors for allowing air to pass therethrough, including a first process sector and a first reactivation sector. The main desiccant wheel comprises of at least three second sectors for allowing air to pass therethrough, sequentially including a second outside air sector, a second process sector, and a second reactivation sector. The ambient airstream is sequentially dehumidified in one of the at least two sectors of the preconditioning desiccant wheel and the outside air sector of the main desiccant wheel, before being at least partially supplied for reactivation to the reactivation sector of the main desiccant wheel.

Abstract: The present invention provides a hybrid adsorption heat exchanging device comprising: at least one tubular or micro channel structure for carrying a heat transfer fluid; the external surface of said structure being provided with extensions in at least two locations; said extensions forming a bed therebetween for providing one or more adsorbent materials; a coating of adsorbent material being provided on at least a part of said extensions.

Abstract: A Radio Access Network (RAN) Slice Scheduler methods and apparatus allowing shared resources from an Enterprise Network deployment to be managed across Mobile Network Operators (MNOs) and private Enterprise users is disclosed. Rebalancing of resource allocations provided to each MNO in the APs on a site is based on the population of User Equipment (UEs) and traffic experienced in accordance with the disclosed methods and apparatus.

Abstract: Technology for operating an unmanned aerial vehicle (UAV) communication system is disclosed herein that allows an UAV communication system to transition between modulation modes. In various implementations, a wireless radio of the UAV communication system operates in a dynamic modulation mode such that the wireless radio dynamically adjusts the modulation rate of a signal within a range of possible modulation rates. The wireless radio transitions to a fixed modulation mode, based at least on a current modulation rate of the signal reaching a low end of the range of possible modulation rates. When in the fixed modulation mode, the wireless radio holds the modulation rate at the low end of the range of possible modulation rates. The wireless radio returns to the dynamic modulation mode based on the quality of the signal.

Abstract: Gas turbines are one of leading sources for power generation with lower greenhouse gas emissions. However, due to environmental concerns, gas turbines are moving towards adopting greener fuels. The shift towards greener fuels comes with own set of challenges as performance of gas turbine at different operating points needs to be accurately predicted as experiments are very costly to perform. Existing arts perform their analysis at operating line and performance estimation at other operating points is not specified. Present application provides systems and methods for estimating performance of gas turbine accurately in wide operating region. The system first accurately estimates outlet conditions for each stage of compressor. The system then utilizes estimated outlet conditions to determine outlet conditions associated with other component of gas turbine.