Abstract: An electric pushback vehicle includes a frame having a forward portion and a rear portion. The vehicle further includes front drive axle and a rear drive axle configured to communicate power to ground engaging members. A traction battery is housed within the electric pushback vehicle and provides electric power to an electric motor to drive an output shaft. A transmission is connected to receive mechanical power from the electric motor through a torque converter.

Abstract: An electrode structure for use in an energy storage device comprising a population of electrodes, a population of counter-electrodes and a microporous separator separating members of the electrode population from members of the counter-electrode population. Each member of the electrode population comprises an electrode active material layer and an electrode current conductor layer, and each member of the electrode population has a bottom, a top, a length LE, a width WE and a height HE, wherein the ratio of LE to each of WE and HE is at least 5:1, the ratio of HE to WE is between 0.4:1 and 1000:1, and the electrode current collector layer of each member of the electrode population has a length LC that is measured in the same direction as and is at least 50% of length LE.

Abstract: A deployment system can include a computing device that is configured to receive a broadcast message from a deployment device in response to the deployment device receiving an approval notification and obtain a plurality of deployment parameters via a distributed communications system. The computing device can also be configured to identify an installation time included in the plurality of deployment parameters and download application data associated with an application identifier included in the plurality of deployment parameters to a local database. The computing device can also be configured to initiate an installation of the application data from the local database at the installation time and transmit a status update to the deployment device in response to the installation being initiated.

Abstract: A beverage system is provided. An adaptor assembly can be used with the beverage system and include a brew basket defining a cavity therein and having a fluid outlet. The assembly also includes a pod adapter and a filter adaptor receivable within the cavity in the brew basket. The pod adapter has at least one engagement feature arranged to be received within at least one corresponding slot in the brew basket. The filter adaptor includes a showerhead coupled to the filter body, the showerhead being arranged to receive fluid through an opening therein and to distribute fluid into the filter body. An internal storage cavity can be arranged within the housing of the beverage system for storing the adaptors. Additionally, a flow path cover can be positioned on the beverage system and configured to prevent unintentional water discharge from a brew chamber.

Abstract: A beverage system is provided. An adaptor assembly can be used with the beverage system and include a brew basket defining a cavity therein and having a fluid outlet. The assembly also includes a pod adapter and a filter adaptor receivable within the cavity in the brew basket. The pod adapter has at least one engagement feature arranged to be received within at least one corresponding slot in the brew basket. The filter adaptor includes a showerhead coupled to the filter body, the showerhead being arranged to receive fluid through an opening therein and to distribute fluid into the filter body. An internal storage cavity can be arranged within the housing of the beverage system for storing the adaptors. Additionally, a flow path cover can be positioned on the beverage system and configured to prevent unintentional water discharge from a brew chamber.

Abstract: A beverage system is provided. An adaptor assembly can be used with the beverage system and include a brew basket defining a cavity therein and having a fluid outlet. The assembly also includes a pod adapter and a filter adaptor receivable within the cavity in the brew basket. The pod adapter has at least one engagement feature arranged to be received within at least one corresponding slot in the brew basket. The filter adaptor includes a showerhead coupled to the filter body, the showerhead being arranged to receive fluid through an opening therein and to distribute fluid into the filter body. An internal storage cavity can be arranged within the housing of the beverage system for storing the adaptors. Additionally, a flow path cover can be positioned on the beverage system and configured to prevent unintentional water discharge from a brew chamber.

Abstract: A beverage system is provided. An adaptor assembly can be used with the beverage system and include a brew basket defining a cavity therein and having a fluid outlet. The assembly also includes a pod adapter and a filter adaptor receivable within the cavity in the brew basket. The pod adapter has at least one engagement feature arranged to be received within at least one corresponding slot in the brew basket. The filter adaptor includes a showerhead coupled to the filter body, the showerhead being arranged to receive fluid through an opening therein and to distribute fluid into the filter body. An internal storage cavity can be arranged within the housing of the beverage system for storing the adaptors. Additionally, a flow path cover can be positioned on the beverage system and configured to prevent unintentional water discharge from a brew chamber.

Abstract: A method for operating a train comprising two or more locomotives, the method comprising the steps of: a) Setting one or more locomotive control levels and choosing a selected route of travel; b) Calculating a target train speed profile and a target in-train force profile over at least a portion of the selected route; c) Measuring one or more operating parameters related to the operation of the train; d) Calculating a future train speed profile and a future in-train force profile for a future period based on at least one of the one or more operating parameters, at least one of the one or more locomotive control levels and one or more pieces of information relating to the selected route; e) Calculating adjusted locomotive speed control levels relating to the one or more operating parameters based on a difference between the target train speed profile and the future train speed profile, the adjusted locomotive control levels being adapted to maintain the target train speed profile over the future period; f)

Abstract: A method for depositing a coating comprising a polymer and pharmaceutical agent on a substrate, comprising the following steps: discharging at least one pharmaceutical agent in a therapeutically desirable morphology in dry powder form through a first orifice; discharging at least one polymer in dry powder form through a second orifice; depositing the polymer and/or pharmaceutical particles onto said substrate, wherein an electrical potential is maintained between the substrate and the pharmaceutical and/or polymer particles, thereby forming said coating; and sintering said coating under conditions that do not substantially modify the morphology of said pharmaceutical agent.

Abstract: Systems and methods for automatic calibration of large industrial engines in applications where the quality of the fuel supply is unknown and/or variable over time, particularly engines that drive compressors on a natural gas well site. A combination of throttles and an oxygen sensor are disclosed, whereby the combination involves a mass-flow-air (MFA) throttle and a mass-flow-gas (MFG) throttle to determine the mass flow of air and mass flow of gas. As a response to exhaust gas oxygen level readings, the mass flow measurements are used to determine real time air-fuel ratios. An algorithm uses the air-fuel ratios as input data, wherein a microcontroller adjusts the throttles to meet engine performance demands. Additionally, using the air-fuel ratio data and suggested engine OEM calibration specifications as block multiplier inputs, particular fuel properties can be accurately interpolated, thereby enabling automatic calibration of the engine and other interventions as desired.

Abstract: A system for determining properties of fuel supplied to an internal combustion (IC) engine and for adjusting operations of the IC engine based on the determined properties. The system includes an air-flow throttle configured to control the air supplied to the IC engine; a fuel-flow throttle configured to control the fuel supplied to the IC engine; and an engine control module (ECM) configured to receive readings from and control operation of the throttles. The ECM is configured to perform a fuel-air determination program where the ECM determines a percent-error air-to-fuel ratio (AF) based on a true AF ratio compared to an ideal AF ratio. The ECM is configured to perform a fuel property determination and adjustment program in which the ECM is configured to adjust operations of the IC engine based on a fuel property value determined using the percent-error AF ratio.

Abstract: The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

Abstract: A system for determining properties of fuel supplied to an internal combustion (IC) engine and for adjusting operations of the IC engine based on the determined properties. The system includes an air-flow throttle configured to control the air supplied to the IC engine; a fuel-flow throttle configured to control the fuel supplied to the IC engine; and an engine control module (ECM) configured to receive readings from and control operation of the throttles. The ECM is configured to perform a fuel-air determination program where the ECM determines a percent-error air-to-fuel ratio (AF) based on a true AF ratio compared to an ideal AF ratio. The ECM is configured to perform a fuel property determination and adjustment program in which the ECM is configured to adjust operations of the IC engine based on a fuel property value determined using the percent-error AF ratio.

Abstract: A state of battery testing system is disclosed which includes a charger, a load to be coupled across the battery's positive and negative terminals, a processer adapted to apply a predetermined voltage pulse across the battery's positive and negative terminals, apply the load to the battery, measure and log current through the load as Iexp, and establish a model based on establishing an initial estimation of state of the battery (?0), and establishing a modeled state of battery (?i) based on a plurality of internal parameters of the battery. The model is adapted to output a model current through the load, inputting ?0 and the plurality of internal parameters of the model to thereby generate Imodel, generate an objective function (f) based on a comparison of Imodel and Iexp, and iteratively optimize ?i, and output ?optimal based on the iterations.

Abstract: A deformable image registration phantom having a housing, an outer cylinder, a parallel eccentric inner cylinder, a ball and socket mount, and a target. The inner cylinder is rotatably mounted within the outer cylinder and the target is rotatably mounted, directly or indirectly, within the inner cylinder. Indexing detents are positioned on at least one of the housing, the outer cylinder, the inner cylinder, and the ball and socket mount and one or more detent pins positioned on another. The indexing detents are arranged about at least one rotational or translational axis of the phantom and the detent pins are configured to releasably engage with the indexing detents as the components of the phantom rotate or translate relative to one another.

Abstract: Systems and methods for automatic calibration of large industrial engines in applications where the quality of the fuel supply is unknown and/or variable over time, particularly engines that drive compressors on a natural gas well site. A combination of throttles and an oxygen sensor including a mass-flow-air throttle and a mass-flow-gas throttle to determine the mass flow of air and mass flow of gas. As a response to exhaust gas oxygen level readings, the mass flow measurements are used to determine real time air-fuel ratios. An algorithm uses the air-fuel ratios as input data, wherein a microcontroller adjusts the throttles to meet engine performance demands. Additionally, using the air-fuel ratio data and suggested engine OEM calibration specifications as block multiplier inputs, particular fuel properties, such as British Thermal Unit (BTU) content, can be accurately interpolated, thereby enabling automatic calibration of the engine.

Abstract: The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.

Abstract: A deformable image registration phantom, having a housing, an outer cylinder with a first diameter, a parallel eccentric inner cylinder with a second diameter smaller than the first diameter, a ball and socket mount, and a target. The target is mounted to the housing by way of the inner and outer cylinders and the ball and socket mount. The inner cylinder is rotatably mounted within the outer cylinder and the target is rotatably mounted, directly or indirectly, within the inner cylinder. The outer cylinder may be rotatably mounted within the housing and the ball and socket mount rotatably mounted within the inner cylinder. Alternatively, the outer cylinder may be rotatably mounted within the ball and socket mount and the ball and socket mount rotatably mounted within the housing.

Abstract: A mass-flow throttle for highly accurate control of gaseous supplies of fuel and/or air to the combustion chambers for a large engine in response to instantaneous demand signals from the engine's engine control module (ECM), especially for large spark-ignited internal combustion engines. With a unitary block assembly and a throttle blade driven by a non-articulated rotary actuator shaft, in combination with control circuitry including multiple pressure sensors as well as sensors for temperature and throttle position, the same basic throttle concepts are suited to be used for both mass-flow gas (MFG) and mass-flow air (MFA) throttles in industrial applications, to achieve highly accurate mass-flow control despite pressure fluctuations while operating in non-choked flow. The throttle, in combination with the sensors and ECM, enable detection of backfire events, with the throttle system further being enabled to take operative measures to prevent damage to the throttle components resulting from a backfire event.

Abstract: The present disclosure provides methods and systems for autonomous data collection and system control of a material recovery facility (MRF). A control system receives data from set of sensors that reflect a status of the MRF. The control system determines an operating status of various MRF components (e.g., material handling units (MHUs), sensors, and/or other elements) and/or a composition of a waste stream being processed by the MRF. The control system controls MHU(s) based on the data to optimize the recovery and/or purity of recoverable materials from the waste stream. The control system may rearranging MHUs within the MRF and/or re-tasking individual MHUs to perform different handling functions. Machine learning (ML) and/or artificial intelligence (AI) mechanisms can be used to optimize the operation of the MRF in an autonomous fashion. Other aspects are also disclosed.