Abstract: A tray for an ampoule of a delivery system of solid precursor materials used in Atomic Layer Deposition (ALD) processes, Chemical Vapor Deposition (CVD) processes or both. The tray is configured to be able to have a reduced profile size when compressed to enhance the ease of which the tray can be inserted into the ampoule, and the tray is configured to expand in size to make improved contact with inner wall surfaces of the ampoule to provide improved heat transfer from the inner wall to the tray and ultimately to the solid precursor materials disposed on the tray.

Abstract: A modular tray for an ampoule of a delivery system of solid precursor materials used in Atomic Layer Deposition (ALD) processes, Chemical Vapor Deposition (CVD) processes or both. The modular tray is configured with separate components which can enhance the ease of which the modular tray can be inserted into the ampoule, and the tray is configured to make improved contact with inner wall surfaces of the ampoule to provide improved heat transfer from the inner wall to the modular tray and ultimately to the solid precursor materials disposed on the modular tray.

Abstract: A bathroom storage system comprising of a contoured body configured to receive the base of a toilet, to conveniently organize and store items within the bathroom without taking up excess space.

Abstract: In an approach to dynamic mute control for web conferencing, one or more computer processors detect a start of a collaborative meeting. One or more computer processors receive a request enable a dynamic mute feature for a microphone associated with a device of a user. One or more computer processors mute the microphone. One or more computer processors monitor the collaborative meeting to derive context. One or more computer processors determine a request for the user to participate in the collaborative meeting. One or more computer processors calculate an unmute confidence score based on the derived context.

Abstract: A first user input is detected from a client device. The first user input is directed at a video content that includes a set of one or more topics, the first user input is from a viewer of the video content. A set of one or more frames in the video content is analyzed based on the first user input. A first topic in the video content is identified based on the set of frames and based on the viewer. The video content, related to the first topic of the set of topics, is altered based on the set of frames and based on the viewer.

Abstract: Techniques are described by which a network management system (NMS) is configured to monitor and/or control a wireless network based on one or more roaming quality assessments. The NMS determines one or more roaming quality assessments for each roaming event and/or each network device in the wireless network. The roaming quality assessments include one or more of a roaming latency score, a signal quality score and/or a stability score. The roaming quality assessments may further include one or more suboptimal roam scores, sticky client scores, and/or interband scores. The NMS may further detect one or more ping-pong roaming events or excessive roaming events.

Abstract: Embodiments of the present disclosure include a method for preventing attacks of audio-based virtual assistants, a system, and a computer program product. One embodiment of the method may comprise receiving an audio command at a first Internet-of-Things (IoT) device in a location, analyzing the audio command using one or more other IoT devices in the location, and performing an ameliorative action in response to an anomaly identified during the analyzing. The analyzing may include comparing the audio command received by the first IoT device to audio received by the one or more other IoT devices. The comparing may comprise computing a relative volume level. The comparing may further comprise computing an audio delay.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can monitor user activity for one or more user interactions performed while connected to a Virtual Private Network. Embodiments of the present invention can then identify potential risks associated with a user and respective user interactions. Embodiments of the present invention can then, in response to determining a respective user interaction of the one or more interactions is suspicious, generate a real time risk score for the respective user interaction. Embodiments of the present invention can then, in response to the generate real time risk score exceeding a threshold level of risk for the respective user interaction, initiate a secondary authentication protocol.

Abstract: A network of Internet of Things (IoT) devices can leverage sensor data from the IoT devices to detect that a device has been activated, determine whether the activation was intentional, and, if it were not, issue commands to deactivate the device. The network can learn over time to correlate trends in sensor data with activations of devices.

Abstract: Techniques are described that enable onboarding of a plurality of heterogeneous client devices with secure access to a wireless network using a network management system (NMS). The NMS has a memory to store a plurality of private pre-shared keys (PPSKs), where each PPSK is provisioned for a particular client device or a particular group of client devices. In response to a key lookup request from an access point (AP) device for a client device, the NMS performs a key lookup and, in response to identifying a PPSK provisioned for the client device, authenticates the client device to access the wireless network via the AP device. The NMS then manages one or more of tracking the client device, policy application to the client device, or handling of network traffic from the client device while connected to the wireless network using the PPSK as an identifier of the client device.

Abstract: In an approach for dynamically adjusting parallel reality (PR) displays, a processor configures a viewing event. A processor receives data from data collecting devices located throughout a location of the viewing event. A processor classifies a crowd of the viewing event into at least two partitions using a learning-based neural network that ingests the data. A processor selects content to be displayed to each of the at least two partitions. A processor enables a PR display to simultaneously display the content to each of the at least two partitions.

Abstract: Embodiments relate generally to systems and methods for gas detection. A method may comprise operating a gas detector with a first alarm setting comprising a first predefined threshold; receiving sensed data of oxygen content in the ambient air; when the sensed data is below the first predefined threshold, activating an alarm; generating an acknowledgement request asking if the gas detector has entered an inert work zone; receiving a response from the user acknowledging that the gas detector has entered an inert work zone; deactivating the alarm; changing the alarm settings of the gas detector to a second alarm setting comprising a second predefined threshold; continuing to receive sensed data of oxygen content in the ambient air; when the sensed data is above the second predefined threshold, activating an alarm; and generating an acknowledgement request for the user asking if the gas detector has entered a normal operation work zone.

Abstract: An ejector device comprises a housing (110) having a motive fluid inlet (111) to receive motive fluid, a suction fluid inlet (112) to receive suction fluid and a fluid outlet (113) to output the motive fluid and the suction fluid. The ejector device comprises a nozzle and diffuser assembly (150) configured to fit within the housing (110). The nozzle and diffuser assembly (150) comprises a nozzle (160), a diffuser (170) and a connecting structure (180) connecting the nozzle (160) to the diffuser 170. The connecting structure (180) is configured to permit fluid flow between the nozzle (160) and the diffuser (170). The connecting structure (180) has apertures (182) configured to allow fluid to be drawn into the fluid flow between the nozzle 160 and the diffuser (170).

Abstract: Aerosol-deposited thermographic phosphors can be used for non-contact, two-dimensional temperature sensing in extreme environments. The fast response time and thermal/environmental stability of doped ceramic powders allow for temperature measurements up to the melting point of the phosphor on hot surfaces, such as rapidly rotating turbine components and combustors.

Abstract: A delivery system includes a handheld electric lift configured to lift at least one vaporizer vessel, and a cabinet configured to hold the at least one vaporizer vessel. The lift includes an elongated mast, an effector attached to the mast, a handler configured to move the lift, and at least one caster. The effector is controlled by an electric power source to move along the mast. Each of the at least one caster includes a stopper and a wheel. The stopper is elongated and is disposed above the wheel. The stopper is configured to engage with the wheel to prevent the wheel from swiveling when the stopper is pushed down. The stopper is further configured to disengage with the wheel to allow the wheel to swivel when the stopper is released. The cabinet includes at least one channel configured to accommodate the at least one caster.

Abstract: A method, system, and computer program product for generating personalized security testing simulations is provided. The method identifies a user of a communications system. The user is associated with a user profile. The method generates a simulated attack communication based on the user, the user profile, and an attack personalization model. The simulated attack communication is transmitted to the user via the communications system. The method identifies a user response to the simulated attack communication and modifies the attack personalization model based on the user response.

Abstract: Provided herein are recombinant nucleic acid molecules, nucleic acid constructs, fusion enzymes, transformed host cells, and methods for making aroma compounds alpha-ionone or beta-ionone.

Abstract: Techniques are described that detect areas with insufficient radio frequency (RF) coverage in a wireless network. A network management system (NMS) determines one or more service level expectation (SLE) metrics for each client device in a wireless network. The SLE metrics are aggregated to each access point (AP) in the wireless network, and each AP is assigned an AP score based on the aggregated SLE metrics. To identify potential coverage holes, the NMS groups APs having poor AP scores. If a root cause of the poor AP scores cannot be automatically resolved and if the poor AP scores persist for a predetermined period of time, the group of APs is determined to represent a true coverage hole. The NMS may generate a notification regarding recommended corrective actions to the customer and/or IT personnel.

Abstract: A method can include detecting an activation of a networked device. The method can further include obtaining a hazard score corresponding to a degree of hazard associated with the networked device. The method can further include determining an activation confidence score corresponding to the activation of the networked device. The method can further include determining, based at least in part on the hazard score and the activation confidence score, an adjusted activation confidence score. The method can further include determining that the adjusted activation confidence score exceeds a threshold. The method can further include initiating a deactivation of the networked device in response to the determining that the adjusted confidence score exceeds the threshold.

Abstract: A computer-implemented method and a computer program product for optimizing groupings in a breakout session in a virtual classroom. A computer retrieves profiles of students in the virtual classroom, where the profiles of the students include data of academic performances of the students. The computer retrieves a known correspondents archive which includes historic data of productivities correlated to interactions among the students. In response to initialization of the breakout session in the virtual classroom, the computer determines optimal groups that yield most productive results, based on the profiles of the students, the known correspondents archive, and requirements of group settings given by an instructor, using a machine learning model. The computer provides the instructor with the optimal groups. In another embodiment, the computer analyzes context of customized assignments for the breakout session and determines the optimal groups further based on the context to the customized assignments.