Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.

Abstract: Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.

Abstract: A method for electrically characterising a cut photovoltaic cell, includes measuring the feature I-V of the uncut cell; cutting the cell into a plurality of sub-cells; measuring the feature I-V of each sub-cell not electrically connected to the other sub-cells; measuring the feature I-V of a set comprising all the sub-cells connected in parallel; determining, on the basis of the measured features I-V, performance parameters of the uncut cell, of each sub-set and of the set; computing, for each sub-cell, the difference between the value of the performance parameters of the sub-cell and that of the performance parameter of the uncut cell; and computing the difference between the value of the performance parameter of the set and the value of the performance parameter of the uncut cell.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.

Abstract: The present disclosure provides a method comprising receiving a rideshare request from a user, the rideshare request including a destination; transporting the passenger to the destination using an autonomous vehicle (AV) having a plurality of windows comprising electrically switchable smart glass; during the transporting, monitoring a metric related to arrival of the AV at the destination; and untinting the windows when the monitored metric has a prescribed relationship to a threshold value.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.

Abstract: Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.

Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Abstract: A digital camera optically couples a monocentric lens to image sensor arrays, without optical fibers, yet shields the image sensor arrays from stray light. In some digital cameras, baffles are disposed between an outer surface of a monocentric lens and each image sensor array to shield the image sensor arrays from stray light. In other such digital cameras, an opaque mask defines a set of apertures, one aperture per image sensor array, to limit the amount of stray light. Some digital cameras include both masks and baffles.

Abstract: Described herein is a server computing system that controls an autonomous vehicle to perform an operation to at least one of measure or isolate an effect of a variable on an actual power consumption by the autonomous vehicle. Data indicative of the actual power consumption, which is generated based on the operation, and data indicative of a projected power consumption, which is accumulated based on prior execution of the operation by a same or different autonomous vehicle, is received by the server computing system to determine whether an energy efficiency of the autonomous vehicle is degraded. The operation may be performed to identify a degraded vehicle system or component of the autonomous vehicle or to identify an autonomous vehicle in a fleet of autonomous vehicles for which further analysis is desirable. An output is generated by the server computing system that is indicative of the energy efficiency prognostics.

Abstract: Described herein is a system and method for detecting malodor within a cabin of an autonomous vehicle, wherein initiation of a remediation system and/or dispatch of the autonomous vehicle to a service hub for mitigating the malodor is based upon sensor signals that monitor the cabin of the autonomous vehicle. The remediation system can include devices such as an HVAC system or a window, which are operated to reduce the concentration of airborne molecules in the cabin of the autonomous vehicle when the concentration of airborne molecules exceeds an air quality threshold. A dispatch protocol may be initiated to dispatch the autonomous vehicle to a service hub when the malodor is associated with certain predefined incidents or when remediation fails to reduce the concentration of airborne molecules below the air quality threshold.

Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Abstract: The invention provides a process for treating an n-type photovoltaic cell free from all but trace amounts of boron atoms, said process comprising the following steps: providing an n-type heterojunction photovoltaic cell (10) comprising a central crystalline silicon layer (1) on and under which two passivation layers (2, 3) made of hydrogenated amorphous silicon are deposited; heating this cell to a temperature between 20° C. and 200° C., for example on a hot plate (20) or in an oven (40), while illuminating the photovoltaic cell with a light flux from a light source (30). The efficiency of the photovoltaic cell is thus improved and stabilized.

Abstract: A system and method for calculating a risk assessment for an electronic file is described. A database of checks, organized into categories, can be used to scan electronic files. The categories of checks can include weights assigned to them. An analyzer can analyze electronic files using the checks. Issues identified by the analyzer can be weighted using the weights to determine a risk assessment for the electronic file.

Abstract: A system for processing a file using a file issue exclusion policy to manage risk is disclosed. If a file does not conform to a set of rules and would otherwise be quarantined, a file issue exclusion policy can be reviewed. If the file issue exclusion policy indicates that the reason why the file did not conform to the set of rules is acceptable, the file can be delivered to the recipient despite not conforming to the set of rules.

Abstract: An extruder for depositing a material includes an extruder body including an extruder drive system and defining a body axis, and an extruder nozzle. The extruder nozzle includes a nozzle tip defining an exit orifice, a reconfigurable arm defining a material path in fluid communication with the exit orifice, the reconfigurable arm including a proximal end coupled to the extruder body and coaxial with the body axis, and a distal end coupled to the nozzle tip, and a plurality of actuators operatively associated with the reconfigurable arm and configured to move the reconfigurable arm between an initial configuration, in which the distal end of the reconfigurable arm is coaxial with the body axis, to a displaced configuration. In the displaced configuration, the distal end of the reconfigurable arm is at least one of positioned offset from the body axis and oriented at an angle relative to the body axis.

Abstract: A Threat Intelligence Cloud is disclosed. The Threat Intelligence Cloud can include a machine. A receiver on the machine can receive an electronic file including a threat detected by an anti-virus solution. A Virus Total Service can determine information from traditional anti-virus solutions scanning the electronic file. A database can store the information from the Virus Total Service. A report generator can generate a report from the information.

Abstract: There is provided an anti-malware mobile content data management apparatus, for use in managing content data within an input electronic file containing content data to be sent over a wireless network including at least one mobile device being served by the wireless network, at least one tokenizer to tokenize the content data contained within the input electronic file into a tagged generic representation of the content data, a content management engine to apply a predetermined content management policy to the tagged generic representation of the content data to form content-managed tagged generic content data and a validator to create validated content-managed content data by being arranged to ensure the content-managed content data represented in the content-managed tagged generic representation conforms to any predefined limits and rules applied to each form of content data appearing in the content data of the input electronic file, wherein an output of the validator is operably coupled to the wireless netwo

Abstract: A system and method for calculating a risk assessment for an electronic file is described. A database of checks, organized into categories, can be used to scan electronic files. The categories of checks can include weights assigned to them. An analyzer can analyze electronic files using the checks. Issues identified by the analyzer can be weighted using the weights to determine a risk assessment for the electronic file.