Abstract: The present invention relates to a multipurpose drill system, the multipurpose drill system comprising: a drilling rig adapted to drive a drilling assembly; and two or more power sources, wherein at least one of the two or more power sources is a high pressure power source, wherein the drilling assembly is adapted to be in communication with either or both of the two or more power sources.

Abstract: System and methods for disinfecting ultrasound probes including a disinfection module operably and physically coupled with an ultrasound-imaging system including an ultrasound probe. The disinfection module is configured to expose the external surface of the ultrasound probe to UV light to define a high-level disinfection process. Sensors determine when the ultrasound probe is disposed within a disinfecting cavity of the disinfection module and logic governs the operation of UV light sources. Logic determines a contamination level of the probe and defines an appropriate disinfection level. Exposing the probe to hydrogen peroxide is an alternative to the UV light. Logic may activate the high-level disinfection process upon placement of the probe within the cavity.

Abstract: The present disclosure relates to a lighting component which may comprise a light emitting diode (LED) or laser diode (LD) for generating at least one of blue light or ultraviolet light. A fluoride phosphor matrix may be included, which may be consolidated into a phosphor ceramic structure including at least one of a transparent fluoride ceramic structure or a translucent fluoride ceramic structure, and positioned adjacent to the LED or LD. The phosphor ceramic structure generates at least one of red or orange light when irradiated by the light emitted from the LED or LD. The phosphor ceramic structure exhibits reduced thermal quenching relative to a fluoride particulate structure irradiated by the LED or LD.

Abstract: Systems and methods for a battery module including a subassembly that can include cells electrically connected to form a group; and groups of cells electrically connected to form the subassembly. The subassembly can include a lower cell carrier and an upper cell carrier configured to retain a thermally insulating material, the group of cells disposed between the upper and lower cell carriers, cell alignment and retention features integrally formed with one or more of: lower or upper cell carriers, means for inhibiting propagation of thermal runaway, a current collector comprising two or more conductive regions; and positive and negative terminals electrically connected to the two or more conductive regions, respectively, to form positive and negative terminals of battery module.

Abstract: A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.

Abstract: An autonomous vehicle (AV) performance optimization system can determine a set of performance metrics for determining AV performance. The system can receive AV performance data from AVs operating or configured for operation throughout a given region. Based on the AV performance data, the system can determine a set of deficient performance metrics in which the AV does not meet one or more performance thresholds of a set of performance metrics. The system may then generate a configuration package, executable by the AV, comprising a set of control system parameter adjustments for meeting or exceeding the one or more performance thresholds corresponding to the deficient performance metrics.

Abstract: A control system of a self-driving vehicle (SDV) can dynamically determine a set of autonomous driving actions to be performed by the SDV, and generate a set of intention outputs using a light output system of the SDV based on the set of autonomous driving actions, where the set of intention outputs indicating the set of autonomous driving actions prior to the SDV executing the set of autonomous driving actions. The control system can then execute the set of autonomous driving actions using acceleration, braking, and steering systems of the SDV. While executing the set of autonomous driving actions, the control system can generate a corresponding set of reactive outputs using the light output system to indicate the set of autonomous driving actions being executed, where the corresponding set of reactive outputs replacing the set of intention outputs.

Abstract: A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.

Abstract: An autonomous vehicle (AV) performance optimization system can determine a set of performance metrics for determining AV performance. The system can receive AV performance data from AVs operating or configured for operation throughout a given region. Based on the AV performance data, the system can determine a set of deficient performance metrics in which the AV does not meet one or more performance thresholds of a set of performance metrics. The system may then generate a configuration package, executable by the AV, comprising a set of control system parameter adjustments for meeting or exceeding the one or more performance thresholds corresponding to the deficient performance metrics.

Abstract: A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.

Abstract: An intention signaling system for an autonomous vehicle (AV) can monitor sensor information indicating a situational environment of the AV, and detect an external entity based, at least in part, on the sensor data. The intention signaling system can generate an output to signal one of an intent of the AV or an acquiescence of the AV to the external entity.

Abstract: A user at a geographical location may submit a search query and receive results responsive to the search query. The search results provided to the user may be based on the user's geographical location. The search results may also be based on one or more attributes of alter ego. The alter ego may be an individual user or another type of entity, such as a group or a business. A user at a geographical location submitting an alter-ego search query may see the results that would be presented to the alter ego if the alter ego were at the geographical location. Each user's interests may be selected through an interest-selection interface, automatically generated as the user interacts with search results, dynamically generated as a user follows or likes search results, or otherwise determined.

Abstract: A control system of a self-driving vehicle (SDV) can dynamically determine a set of autonomous driving actions to be performed by the SDV, and generate a set of intention outputs using a light output system of the SDV based on the set of autonomous driving actions, where the set of intention outputs indicating the set of autonomous driving actions prior to the SDV executing the set of autonomous driving actions. The control system can then execute the set of autonomous driving actions using acceleration, braking, and steering systems of the SDV. While executing the set of autonomous driving actions, the control system can generate a corresponding set of reactive outputs using the light output system to indicate the set of autonomous driving actions being executed, where the corresponding set of reactive outputs replacing the set of intention outputs.

Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from a sensor system of the SDV to autonomously control acceleration, steering, and braking systems of the SDV along a current route. Based on the current route, the control system can dynamically determine a set of immediate actions to be performed by the SDV. Based on the set of immediate actions, the control system can generate a set of intention outputs on a lighting strip of the SDV, the set of intention outputs indicating the set of immediate actions prior to the SDV executing the set of immediate actions.

Abstract: A user at a geographical location may submit a search query and receive results responsive to the search query. The search results provided to the user may be based on the user's geographical location. The search results may also be based on one or more attributes of the user or an alter ego. The alter ego may be an individual user or another type of entity, such as a group or a business. A user at a geographical location submitting an alter-ego search query may see the results that would be presented to the alter ego if the alter ego were at the geographical location. Each user's interests may be selected through an interest-selection interface, automatically generated as the user interacts with search results, dynamically generated as a user follows or likes search results, or otherwise determined.

Abstract: An autonomous vehicle (AV) performance optimization system can receive vehicle data from human-driven vehicles, and determine a set of performance metrics for determining AV performance in relation to human performance based on the vehicle data. Thereafter, the system can receive AV data from AVs operating or configured for operation throughout a given region. Based on the AV data, the system can determine a performance score for each of the set of performance metrics for the AV.

Abstract: A method and computer system executes a home loss prevention simulation to provide a user with information on home loss prevention. The method and system may allow the user to select and place one or more home sensors on items and/or in locations within a simulated home environment. Once the user has finished selecting and placing the home sensors in the simulated home, the method and system may begin the home loss prevention simulation by applying different loss-related simulation scenarios to the simulated home. Based the different loss-related scenarios, the method and system may evaluate the placement of the home sensors in the simulated home to determine one or more losses (e.g., fire, water or burglary) and any associated financial costs. At the end of the simulation, the method and system may provide instructional information regarding the simulation results in order to educate the user on how to improve or optimize home loss prevention.

Abstract: A control system of a self-driving vehicle (SDV) can process sensor data from a sensor system of the SDV to autonomously control acceleration, steering, and braking systems of the SDV along a current route. Based on the current route, the control system can dynamically determine a set of immediate actions to be performed by the SDV. Based on the set of immediate actions, the control system can generate a set of intention outputs on a lighting strip of the SDV, the set of intention outputs indicating the set of immediate actions prior to the SDV executing the set of immediate actions.

Abstract: An intention signaling system for an autonomous vehicle (AV) can monitor sensor information indicating a situational environment of the AV, and detect an external entity based, at least in part, on the sensor data. The intention signaling system can generate an output to signal one of an intent of the AV or an acquiescence of the AV to the external entity.

Abstract: A system capable of detecting data within user application streams to manage or control the chains. For example, the system can receive bandwidth information from the application, and based on that information, determine a level of network traffic caused by the application. Such bandwidth information can include any one or more of subscription information, information provided by an application running on a user device, information provided by an application function, and a detected application type. Based on the bandwidth information, the system can either determine a service chain route for the stream, or determine how to bill for the traffic caused by the application. For example, such determinations may be conducted dynamically based on previously determined if/then rules established by a user of the system.