Abstract: A wellhead bracing system for a subsea well includes a base plate assembly and a wellhead brace assembly. The base plate assembly comprises a top surface, a bottom surface, a base plate aperture, and a plurality of anchor holes. The wellhead brace assembly comprises a vertical plate assembly having a cylindrical shape, a horizontal plate assembly to which the vertical plate assembly is attached, and a vertical support assembly attached to an outer surface of the vertical plate assembly and attached to the top surface of the horizontal plate assembly. Horizontal plate holes of the horizontal plate assembly are configured to attach to studs on the top surface of the base plate to secure the wellhead brace assembly to the base plate assembly. The wellhead bracing system slides onto a wellhead of the subsea well and braces an exterior of the wellhead.

Abstract: A set of virtual machines (VMs) with different guest operating systems installed is initially booted and prepared to facilitate rapid creation, or “forking,” of a child VM(s) for malware analysis of a software sample. Because malicious code may be packaged for a specific operating system version, subsets of the VMs may have different versions of the same guest operating system installed. Upon detection of a sample indicated for malware analysis, a child VM(s) running the appropriate guest operating system is created based on a corresponding one(s) of the set of VMs. A process in which the corresponding VM(s) has been booted is forked to create a child process. A child VM which is a copy of the VM booted in the parent process is then created in the child process. The sample is then sandboxed in the child VM for analysis to determine if the sample comprises malware.

Abstract: A set of virtual machines (VMs) with different guest operating systems installed is initially booted and prepared to facilitate rapid creation, or “forking,” of a child VM(s) for malware analysis of a software sample. Because malicious code may be packaged for a specific operating system version, subsets of the VMs may have different versions of the same guest operating system installed. Upon detection of a sample indicated for malware analysis, a child VM(s) running the appropriate guest operating system is created based on a corresponding one(s) of the set of VMs. A process in which the corresponding VM(s) has been booted is forked to create a child process. A child VM which is a copy of the VM booted in the parent process is then created in the child process. The sample is then sandboxed in the child VM for analysis to determine if the sample comprises malware.

Abstract: In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a connection interface, a LAN interface, a WAN interface, and a processor. The connection interface is to connect to a PCB of a door controller. The LAN interface is to communicate with a plurality of door sensors. The WAN interface is to communicate with a remote server of a service provider. The processor is communicatively coupled to the connection interface, the LAN interface, and the WAN interface. The processor is to receive door data from the plurality of door sensors via the LAN interface, transmit the door data to the remote server for analysis, receive a correction action from the remote server in response to the door data that is transmitted, and execute the corrective action on a door of the plurality of doors via the LAN interface.

Abstract: The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.

Abstract: In example implementations, a door monitoring sensor is provided. The door monitoring sensor includes a communication interface to transmit an alarm when a door operates outside of operational parameters of the door, an angular sensor to measure rotational movement of the a door, a movement sensor to detect movement along an x-y-z coordinate plane, a radar sensor to detect an object, a rechargeable power supply to provide power to the angular sensor, the movement sensor, and the radar sensor, and a processor. The processor is communicatively coupled to the communication interface, the angular sensor, the movement sensor, and the radar sensor. The processor is to determine that the door is moving outside of the operational parameters of the door and generate the alarm that is transmitted by the communication interface in response to determination that the door is moving outside of the operational parameters of the door.

Abstract: In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

Abstract: In example implementations, a door monitoring sensor is provided. The door monitoring sensor includes a communication interface to transmit an alarm when a door operates outside of operational parameters of the door, an angular sensor to measure rotational movement of the a door, a movement sensor to detect movement along an x-y-z coordinate plane, a radar sensor to detect an object, a rechargeable power supply to provide power to the angular sensor, the movement sensor, and the radar sensor, and a processor. The processor is communicatively coupled to the communication interface, the angular sensor, the movement sensor, and the radar sensor. The processor is to determine that the door is moving outside of the operational parameters of the door and generate the alarm that is transmitted by the communication interface in response to determination that the door is moving outside of the operational parameters of the door.

Abstract: Disclosed are systems and methods for generating customer experience scores. An example method may include determining, via a processor, a first event impacting one or more users on a network. The example method may also include determining, via the processor, a first time period during which the first event occurs. The example method may also include determining, via the processor, a first number of interactions that occurred during the first time period between the one or more users and a network service provider. The example method may also include determining, via the processor and using a correlation model, a first relationship between the first event and the first number of interactions during the first time period. The example method may also include determining, via the processor, a second event impacting a first user.

Abstract: The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.

Abstract: The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a connection interface, a LAN interface, a WAN interface, and a processor. The connection interface is to connect to a PCB of a door controller. The LAN interface is to communicate with a plurality of door sensors. The WAN interface is to communicate with a remote server of a service provider. The processor is communicatively coupled to the connection interface, the LAN interface, and the WAN interface. The processor is to receive door data from the plurality of door sensors via the LAN interface, transmit the door data to the remote server for analysis, receive a correction action from the remote server in response to the door data that is transmitted, and execute the corrective action on a door of the plurality of doors via the LAN interface.

Abstract: In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

Abstract: In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

Abstract: In example implementations, an apparatus is provided. The apparatus includes a connection interface, a local area network (LAN) interface, a wide area network (WAN) interface, and a processor. The connection interface is to connect to a printed circuit board (PCB) of a door controller. The LAN interface is to communicate with a plurality of door sensors, wherein each one of the plurality door sensors is to monitor operation of a respective door of a plurality of doors. The WAN interface is to communicate with a remote server of a service provider. The processor is communicatively coupled to the connection interface, the LAN interface, and the WAN interface.

Abstract: In example implementations, a method is provided. The method includes determining, by a processor, that a vehicle is approaching a door of a building based on a velocity vector of the vehicle, calculating, by the processor, a time of arrival of the vehicle at the door based on the velocity vector of the vehicle and a distance of the vehicle from the door, and controlling, by the processor, the door to begin opening at a time based on the time of arrival and an amount of time for the door to open such that the door is opened when the vehicle arrives at the door.

Abstract: The present invention is a respiratory monitoring device which uses 2+ sensors to map respiratory motion in patients to interpret into a respiratory effort and severity score. The core components of the invention are contact-based sensors that measure relative motion of the chest, abdomen, and/or other key anatomical features, a processing unit which takes in the data from all sensors, an algorithm that analyzes and compares the data from each sensor to understand relative motion and interpret it into clinically-relevant information, and a display screen that shares this information with clinicians. The sensors are connected to each other and the information processing unit which shares data with the screen for display of a respiratory severity score based on analysis of Thoraco-Abdominal Asynchrony (TAA) or similar indicators of respiratory effort as measured by the sensor network and analyzed by the algorithm.

Abstract: In example implementations, a door monitoring sensor is provided. The door monitoring sensor includes a communication interface to transmit an alarm when a door operates outside of operational parameters of the door, an angular sensor to measure rotational movement of the a door, a movement sensor to detect movement along an x-y-z coordinate plane, a radar sensor to detect an object, a rechargeable power supply to provide power to the angular sensor, the movement sensor, and the radar sensor, and a processor. The processor is communicatively coupled to the communication interface, the angular sensor, the movement sensor, and the radar sensor. The processor is to determine that the door is moving outside of the operational parameters of the door and generate the alarm that is transmitted by the communication interface in response to determination that the door is moving outside of the operational parameters of the door.

Abstract: In example implementations, a door monitoring sensor is provided. The door monitoring sensor includes a communication interface to transmit an alarm when a door operates outside of operational parameters of the door, an angular sensor to measure rotational movement of the a door, a movement sensor to detect movement along an x-y-z coordinate plane, a radar sensor to detect an object, a rechargeable power supply to provide power to the angular sensor, the movement sensor, and the radar sensor, and a processor. The processor is communicatively coupled to the communication interface, the angular sensor, the movement sensor, and the radar sensor. The processor is to determine that the door is moving outside of the operational parameters of the door and generate the alarm that is transmitted by the communication interface in response to determination that the door is moving outside of the operational parameters of the door.