Abstract: Systems and methods for crude oil separation and upgrading, which include the ability to reduce aromatic complex bottoms content in gasoline and higher-quality aromatic compounds. In some embodiments, aromatic complex bottoms are recycled for further processing. In some embodiments, aromatic complex bottoms are separated for further processing.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content based on context are disclosed. In one aspect, a method includes identifying, in a single resource, multiple different content item slots that are available for presentation of multiple different content items. A determination is made that a first content item slot is located in a first portion of the single resource, and that a second content item slot is located in a second different portion of the resource. A first content item is selected for presentation in the first content item slot based on terms that correspond to a first topic of the first portion of the resource. A second content item is selected for presentation in the second content item slot based on terms that correspond to a second topic of the second portion of the resource.

Abstract: An emergency lighting system that includes a storage device, an emergency lighting device, an area control device and an external device. The emergency lighting device includes a light, a first controller having a first electronic processor configured to perform a self-diagnostic test, and a first input/output (I/O) device configured to transmit data associated with the self-diagnostic test. The area control device includes a second I/O device configured to receive data associated with the first self-diagnostic test form the first I/O device and transmit the data associated with the self-diagnostic test to the storage device.

Abstract: This disclosure describes a cutting unit for cutting sphagnum moss. The unit comprises a first pair of substantially parallel blades, laid out substantially according to a first orientation, and spaced apart from about 2 cm to about 30 cm and a second pair of blades, substantially parallel, laid out substantially in a second orientation, and spaced apart from about 40 cm to about 400 cm. The blades of the first pair and second pair being positioned and configured to cut said sphagnum moss.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for distributing content based on context are disclosed. In one aspect, a method includes identifying, in a single resource, multiple different content item slots that are available for presentation of multiple different content items. A determination is made that a first content item slot is located in a first portion of the single resource, and that a second content item slot is located in a second different portion of the resource. A first content item is selected for presentation in the first content item slot based on terms that correspond to a first topic of the first portion of the resource. A second content item is selected for presentation in the second content item slot based on terms that correspond to a second topic of the second portion of the resource.

Abstract: A bike includes a frame elongated in a longitudinal direction, a front fork rotatably engaged with a front wheel at a front end of the bike, a rear fork rotatably engaged with a rear wheel at a rear end of the bike, a handlebar supported for rotation at the front end of the frame for steering the bike, and a drive module configured to drive the rear wheel of the bike when operated selectively with power. The frame includes a down tube extending downward and rearward from the front end of the bike and a drive module enclosure formed at a second end of the down tube. The drive module enclosure defines a drive module receptacle that is open along the longitudinal direction of the bike. The drive module receptacle is sized to receive the drive module along the longitudinal direction of the bike.

Abstract: An acid-generating fluid includes a thermally activated strong acid precursor. The thermally activated strong acid precursor can include a component selected from aldehydes, ketones, and combinations thereof, in combination with a precursor of a compound adapted to react to liberate sulfur dioxide; or it can include sulfur dioxide in combination with a precursor of a compound adapted to react to liberate a component selected from aldehydes, ketones, and combinations thereof.

Abstract: A system for ANN training through processing power of parked vehicles. The system can include a master computing device having a controller configured to control training of an ANN. The training can be performed at least partially in separate parts by computing devices of parked vehicles. The controller can be configured to separate computing tasks of training the ANN into separated tasks. Also, the controller can be configured to assign at least some of the separated tasks to selected computing devices of parked vehicles. The controller can also be configured to receive and assemble results of the separated tasks to train the ANN. The controller can also be configured to train the ANN according to the results. The master computing device can be configured to send the assigned tasks to the selected devices of the vehicles as well as receive, from the selected devices, the results of the assigned tasks.

Abstract: Systems and methods for assigning personalities to autonomous vehicles are disclosed. In one embodiment, a method is disclosed comprising receiving data from an autonomous vehicle; generating a vector representing the autonomous vehicle based on the data; classifying the vector into one or more personalities; receiving a search query from a user; identifying one or more autonomous vehicles responsive to the search query based on personalities assigned to the one or more autonomous vehicles, the one or more autonomous vehicles including the autonomous vehicle; and transmitting the one or more autonomous vehicles to the user.

Abstract: The present disclosure is directed to mounts for antennas and radio equipment, and more particularly to mounts for antennas on and radio equipment on the top of a building or commercial structure. One aspect of the present disclosure is directed to a sector frame. The sector frame may have a plurality of structural members, including antenna pipes for the mounting of electronic equipment, and a face pipe along which the antenna pipes are disposed. In some embodiments, the antenna pipes and the face pipe may form an antenna pipe array which is rotatable about three perpendicular axes. Another aspect of the present disclosure is directed to a method for adapting a sector frame to a substrate. The method includes the step of attaching an extension to a base of the sector frame, wherein a portion of the base of the sector frame is in contact with the substrate, and wherein a portion of the extension is in contact with the substrate.

Abstract: This disclosure describes a method of collection of sphagnum moss comprising a motorized cutting and collection of at least a portion of the sphagnum moss. The cutting is performed in a direction substantially parallel to the ground and in a direction substantially vertical to the ground, while leaving the sphagnum moss anchored to the ground.

Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. A driver, enclosed within the package, is programmable to adjust the strength, delay, and/or slew rate of the signals driven onto a pin of the device to represent a predetermined bit of data. Such aspects of the signals driven by the driver according to the programmed settings can be adjusted to reduce energy consumption, electromagnetic interference, and/or errors in receiving the data transmitted via the pin. The settings can be programmed into registers enclosed in the integrated circuit package to control the driver and/or dynamically adjusted using an artificial intelligent engine to optimize a cost function.

Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. A driver enclosed within the package is programmable to generate a spread spectrum signal to represent data being transmitted from a pin of the device. Frequency distribution of the signal spreading over a bandwidth in a frequency domain can be programmed to customize the electromagnetic emission caused by the communication of data through the pin. The frequency spreading can be programmed to reduce energy consumption, electromagnetic interference, and/or errors in receiving the data transmitted via the pin. The settings can be programmed into registers enclosed in the integrated circuit package to control the driver and/or dynamically adjusted using an artificial intelligent engine to optimize a cost function.

Abstract: A device having a plurality of pins configured to connect circuits within an integrated circuit package to circuits outside of the integrated circuit package. Circuitry in the device is configured to automatically adapt settings of a pin driver to a system in which the device is installed. For example, the driving strength of the pin driver can be automatically reduced to an optimized level that is just above a level that can cause errors in communications. For example, the delay of a signal driving by the pin driver can be set to a midpoint between an upper boundary of delays between failed and successful transmissions and a lower boundary of delays between successful and failed transmissions.

Abstract: A system for data recording across a network includes a session border controller connecting incoming data from the network to an endpoint recorder. A load balancer is connected to the network between the session border controller and the endpoint and receives the incoming data from the session border controller, wherein the load balancer comprises computer memory and a processor configured to parse the incoming data into video data and audio data according to identification protocols accessible by the processor from the computer memory. A recording apparatus includes recording memory that receives the incoming data from the load balancer, stores a duplicate version of the incoming data in the recording memory, and connects the incoming data to the endpoint.

Abstract: This disclosure describes a cutting unit for cutting sphagnum moss. The unit comprises a first pair of substantially parallel blades, laid out substantially according to a first orientation, and spaced apart from about 2 cm to about 30 cm and a second pair of blades, substantially parallel, laid out substantially in a second orientation, and spaced apart from about 40 cm to about 400 cm. The blades of the first pair and second pair being positioned and configured to cut said sphagnum moss.

Abstract: An electrical wiring device including a ground fault interrupt assembly, the ground fault interrupt assembly comprising a ground fault interrupt circuit, being formed on a first printed circuit board, and a trip mechanism, the ground fault interrupt circuit being configured to detect a differential current between the line conductor and the neutral conductor and to trigger the trip mechanism to electrically decouple the plurality of line terminals from the plurality of load terminals, according to a predetermined criterion, based, at least in part, on the different current; and a USB power supply circuit being formed on a second printed circuit board disposed within the compartment, the USB power supply circuit providing to the at least one USB port, wherein the first printed circuit board and the second printed circuit board are separated by a distance within the inner compartment.

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include an input partition configured to store input data to the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the input partition can be configured for enhanced endurance, cyclic sequential overwrite of a continuous input stream.

Abstract: Systems, methods and apparatus of optimizing neural network computations of predictive maintenance of vehicles. For example, a data storage device of a vehicle includes: a host interface configured to receive a sensor data stream from at least one sensor configured on the vehicle; at least one storage media component having a non-volatile memory; and a controller. The non-volatile memory is configured into multiple partitions (e.g., namespaces) having different sets of memory operation settings configured for different types of data related to an artificial neural network (ANN). The partitions include a model partition configured to store model data of the ANN. The sensor data stream is applied in the ANN to predict a maintenance service of the vehicle. The memory units of the model partition can be configured for read, infrequent updates, improved storage capacity, and/or for access in parallel with input/output for the ANN.

Abstract: Methods, systems, and apparatuses related to edge processing of sensor data using a neural network to reduce network traffic to and/or from a server. In one approach, a cloud server processes sensor data from a vehicle using an artificial neural network (ANN). The ANN has several layers. Based on analyzing at least one characteristic of the sensor data received from the vehicle and/or a context associated with processing the sensor data, the cloud server determines to send one or more of the layers of the ANN for edge processing on the vehicle itself. In other cases, the cloud server decides to send the one or more layers to an edge server device located on a communication path between the vehicle and the cloud server. The edge processing reduces network data traffic.