Abstract: A dynamic side blind zone method includes determining that a host vehicle is approaching a first lane that is nonparallel to a second lane. The host vehicle is moving in the second lane. The method further includes activating an adaptive side blind zone alert system of the host vehicle in response to determining that the host vehicle is approaching the first lane that is nonparallel to the second lane, determining a warning zone in response to activating the adaptive side blind zone alert system of the host vehicle, and detecting a remote vehicle inside the warning zone after determining the warning zone. The remote vehicle is moving in the first lane. The method further includes providing an alert to a vehicle user of the host vehicle in response to detecting that the remote vehicle is inside the warning zone.

Abstract: A glass fiber reinforced polycarbonate composite material, a preparation method and an application thereof; the material includes the following components: component A: 40 parts to 90 parts of a polycarbonate; component B: 1.5 parts to 50 parts of a polysiloxane block copolymer; component C: 5 parts to 60 parts of a glass fiber; component D: 0.1 parts to 30 parts of a phosphorus-containing compound; and component E: 0.01 parts to 30 parts of a polyolefin compound.

Abstract: A perception processing system includes a memory and a main controller. The main controller includes modules and implements a data processing pipeline including algorithm stages, which are executed in parallel relative to sets of data and are executed sequentially relative to each of the sets of data. The algorithm stages share resources of the modules and the memory to process the sets of data and generate perception information. One of the modules executes global and local controllers. The global controller sets a processing rate for the local controllers. The local controllers monitor current processing rates of the algorithm stages. When one of the current processing rates is less than the set processing rate, the corresponding one of the local controllers sends a first signal to the global controller and in response the global controller sends a broadcast signal to the local controllers to adjust the current processing rates.

Abstract: The disclosure discloses a storage-computation integrated indexing system and a key-value pair storage system, a controller and multiple array banks capable of operating in parallel are included. The array banks include multiple content-addressable cross-point arrays. In each array, each row is used to store a key and a valid flag bit thereof. The controller is configured to perform an indexing operation on key-value pair data stored in the array. The indexing operation includes an insertion operation, which includes: for key-value pair data [ki, vi] to be inserted, searching for a row that does not store a valid key in the array bank mapped by a hash bucket Bi corresponding to a key ki. If search is successful, the key ki is stored in an assigned row, its valid flag bit is set to valid, the value vi is written into an array row; otherwise, the operation is returned as failed.

Abstract: A system for identifying adversarial behavior directed to an autonomous vehicle includes a pedestrian detection system in communication with a vehicle controller adapted to identify a pedestrian within proximity of the autonomous vehicle, track the pedestrian, determine if the pedestrian is intending to cross in front of the autonomous vehicle, and if the pedestrian tracking system determines that the pedestrian is not intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to continue tracking the pedestrian, and if the pedestrian tracking system determines that the pedestrian is intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to determine, with an adversarial intent algorithm, if the pedestrian is exhibiting any adversarial behavior.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to: receive intermediate concept constraints at a neural network and train the neural network with training data, training labels, and the at least one of the data constraint, the feature constraint, or the intermediate concept constraint.

Abstract: This disclosure provides systems, methods, and apparatus related to selenium removal from water. In one aspect, a method includes providing a device, the device including a cathode and an anode. The cathode comprises a nickel-iron-based alloy. With both the cathode and the anode in contact with water, a potential is applied between the cathode and the anode to reduce selenium that is within the water.

Abstract: A semiconductor device and a method of manufacturing a semiconductor device are provided. The semiconductor device includes a semiconductor substrate and a word line structure. The semiconductor substrate has an active region. The word line structure is disposed in the active region of the semiconductor substrate. The word line structure includes a first work function layer, a second work function layer, and a buffer structure. The second work function layer is on the first work function layer. The buffer structure is between the first work function layer and the second work function layer.

Abstract: A front light module includes a light guide sheet and a light bar. The light guide sheet has two light receiving laterals, a fold line, a first pattern area, and a second pattern area respectively located on two sides of the fold line. One light receiving lateral is protruded to form first taper sets, and the other is protruded to form second taper sets. The second pattern area is superimposed on the first pattern area, and the first and second tapers set are engaged and coplanar to form a light incident surface after folding along the fold line. The light bar provides light toward the light incident surface, the first pattern area is lit by the odd positions of the light bar via the first taper sets, and the second pattern area is lit by the even positions of the light bar via the second taper sets.

Abstract: A system comprises a computer including a processor and a memory. The memory includes instructions such that the processor is programmed to determine a pairwise region of interest feature similarity based on features extracted from a first cropped image portion and corresponding point cloud data and features extracted from a second cropped image portion and corresponding point cloud data. The processor is also programmed to determine a loss using a loss function based on the pairwise region of interest feature similarity, wherein the loss function corresponds to at least one a first deep neural network or a second deep neural network. The processor is also programmed to update at least one weight of the at least one of the first deep neural network or the second deep neural network based on the loss.

Abstract: A system for identifying adversarial behavior directed to an autonomous vehicle includes a pedestrian detection system in communication with a vehicle controller adapted to identify a pedestrian within proximity of the autonomous vehicle, track the pedestrian, determine if the pedestrian is intending to cross in front of the autonomous vehicle, and if the pedestrian tracking system determines that the pedestrian is not intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to continue tracking the pedestrian, and if the pedestrian tracking system determines that the pedestrian is intending to cross in front of the autonomous vehicle, the pedestrian tracking system is further adapted to determine, with an adversarial intent algorithm, if the pedestrian is exhibiting any adversarial behavior.

Abstract: A system for responding to adversarial behavior within an autonomous vehicle includes a pedestrian detection system in communication with a vehicle controller and an adversarial intent algorithm adapted to determine a risk level of adversarial behavior from at least one pedestrian within proximity of the autonomous vehicle, the vehicle controller adapted to provide proactive and reactive actions to be performed by the autonomous vehicle in response to the adversarial behavior based on the risk level of the adversarial behavior.

Abstract: A system for determining opportunity and capability for identified adversarial behavior within an autonomous vehicle, comprising a pedestrian detection system, a vehicle controller and an adversarial intent algorithm adapted to determine a risk level of adversarial behavior from at least one pedestrian within proximity of the autonomous vehicle, and, when the adversarial intent algorithm determines that there is a risk of adversarial behavior, to determine a risk level of the adversarial behavior based on opportunity and capability.

Abstract: This application discloses a wireless keyboard. The wireless keyboard includes a connection portion. The connection portion includes an accommodating cavity with an opening at an end and used for accommodating an electronic stylus. A wireless charging coil is arranged in the accommodating cavity. A charging interface and a wireless charging control module are arranged in the wireless keyboard. The wireless charging control module is connected to the charging interface and the wireless charging coil. The charging interface can receive a direct current signal. The wireless charging control module can convert, if it is detected that a direct current signal is inputted to the charging interface, the direct current signal into an alternating current signal and transmit the alternating current signal to the wireless charging coil. The wireless charging coil generates an alternating electromagnetic field in response to the alternating current signal, to wirelessly charge the electronic stylus.

Abstract: A method for validating an autonomous vehicle performance using nearby traffic patterns includes receiving remote vehicle data. The remote vehicle data includes at least one remote-vehicle motion parameter about a movement of a plurality of remote vehicles during a predetermined time interval. The method further includes determining a traffic pattern of the plurality of remote vehicles using the at least one remote-vehicle motion parameter. The method includes determining a similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle. Further, the method includes determining whether the similarity between the traffic pattern of the plurality of remote vehicles and movements of the host vehicle is less than a predetermined threshold. Also, the method includes commanding the host vehicle to adjust the movements thereof to match the traffic pattern of the plurality of remote vehicles.

Abstract: An in-vehicle violence detection system includes a speech and non-speech audio recognition module capturing occupant threat words and non-speech audio events. In-vehicle accelerometers generate data analyzed in a shaking movement recognition module. A heart rate and breathing rate detection module measures physiological changes in occupant heart rates and breathing rhythms. An in-vehicle semantic scene recognition module analyzes occupant non-verbal interactions. Occupant threat indicators including an audible threat indicator are generated by the speech and non-speech audio event recognition module. Visual threat indicators are generated by the in-vehicle semantic scene recognition module. Physiological threat indicators are generated by the heart rate and breathing rate detection module. Vibration-based threat indicators are generated by the shaking movement recognition module.

Abstract: Compositions and methods for the treatment of ribosomopathies and regeneration of hematopoietic stems cells are provided.

Abstract: An on-demand, feature focused data collection system of an automobile vehicle includes at least one data collection device provided with an automobile vehicle. A data collection unit receives data from the at least one data collection device in response to a data collection request submitted by a user. A data scene group combines portions of the data received by the data collection unit and stored in the data collection unit of the automobile vehicle or at a remote server. A control logic device receives the data collection request and activates collection of the data. The control logic device includes: a data collection strategy which differs if different types of the data are available; a reference algorithm loaded or deployed; a storage capacity allocated for the data; and a storage policy employed to save the data.

Abstract: A method includes adding, by a first apparatus, a first node to the first apparatus, where the first apparatus is configured to store and manage service-related data, and where the first node is configured to perform a grayscale upgrade on a first service; configuring, by the first apparatus, a grayscale rule; identifying, by the first apparatus and according to the grayscale rule, a grayscale user to test the first service; sending, by the first apparatus to a second apparatus, the grayscale rule, wherein the second apparatus is a front-end apparatus of the first apparatus; and performing, by the first node, the grayscale upgrade on the first service of the grayscale user.

Abstract: Disclosed in the present invention are a method and a system for ensuring the failure atomicity in a non-volatile memory, which belong to the field of computer storage.