Abstract: A method for prelithiating a soft carbon negative electrode includes the steps of: disposing the soft carbon negative electrode and a lithium metal piece spaced apart from each other with a lithium-containing electrolyte present therebetween; prelithiating the soft carbon negative electrode at a first constant C-rate until a voltage thereof is reduced to a first predetermined voltage not greater than 0.3 V vs. Li/Li+, the first constant C-rate being not greater than 5 C; prelithiating the soft carbon negative electrode at a second constant C-rate until the voltage thereof is reduced to a second predetermined voltage lower than the first predetermined voltage, the second constant C-rate being not greater than 0.2 C and being less than the first constant C-rate; and prelithiating the soft carbon negative electrode at a prelithiation constant voltage which is not greater than the second predetermined voltage, thereby completing prelithiation of the soft carbon negative electrode.

Abstract: A method for making a carbon material for an anode of a lithium-ion secondary battery includes a sequence of: a) heating a heavy hydrocarbon oil to obtain a green coke, b) a heating the green coke to form a carbon-containing material, c) grinding the carbon-containing material into a powder, and collecting a portion of the powder, d) heating the portion of the powder to obtain a carbonaceous powder, and e) adding pitch to the carbonaceous powder and heating the pitch-contained carbonaceous powder. A lithium-ion secondary battery, which includes the anode having the carbon material, is also disclosed.

Abstract: The present disclosure provides semiconductor structure having an electrical contact. The semiconductor structure includes a semiconductor substrate and a doped polysilicon contact. The doped polysilicon contact is disposed over the semiconductor substrate. The doped polysilicon contact includes a dopant material having a dopant concentration equaling or exceeding about 1015 atom/cm3.

Abstract: A method for manufacturing a circuit board circuit board for transmitting high-frequency signal, including: providing a first-line circuit board (20), a second circuit board (40), at least one third circuit board (50), a fourth circuit board (60), a fifth circuit board (61), and a sixth circuit board (62); stacking the first circuit board (20), the second circuit board (40), and third circuit board (50) in that order, and stacking the fourth circuit board (60), the sixth circuit board (62), and the fifth circuit board (61) on the third circuit board (50), and pressing them together to obtain the circuit board circuit board for transmitting high-frequency signal. The method manufacturing the circuit board circuit board for transmitting high-frequency signal can reduce a width of the transmission line. The present disclosure further provides the circuit board circuit board for transmitting high-frequency signal obtained by the above method.

Abstract: An acute kidney injury predicting system and a method thereof are proposed. A processor reads the data to be tested, the detection data, the machine learning algorithm and the risk probability comparison table from a main memory. The processor trains the detection data according to the machine learning algorithm to generate an acute kidney injury prediction model, and inputs the data to be tested into the acute kidney injury prediction model to generate an acute kidney injury characteristic risk probability and a data sequence table. The data sequence table lists the data to be tested in sequence according to a proportion of each of the data to be tested in the acute kidney injury characteristics. The processor selects one of the medical treatment data from the risk probability comparison table according to the acute kidney injury characteristic risk probability.

Abstract: An optical integrated circuit (IC) structure includes: a substrate including a fiber slot formed in an upper surface of the substrate and extending from an edge of the substrate, and an undercut formed in the upper surface and extending from the fiber slot; a semiconductor layer disposed on the substrate; a dielectric structure disposed on the semiconductor layer; an interconnect structure disposed in the dielectric structure; a plurality of vents that extend through a coupling region of the dielectric structure and expose the undercut; a fiber cavity that extends through the coupling region of dielectric structure and exposes the fiber slot; and a barrier ring disposed in the dielectric structure, the barrier ring surrounding the interconnect structure and routed around the perimeter of the coupling region.

Abstract: Service disruption prevention through monitoring dynamic geofencing is disclosed. The present disclosure seeks to prevent (or drastically reduce the probability) mass vehicle recovery events due to fragile portions of the map. Tooling is used to actively monitor chokepoints and new avoidance areas. Comprised by the operational design domain (ODD), geofences are actively changed in response to the state of the chokepoints and avoidance areas. Varying states can be assigned to a plurality of geofences within the ODD, for example, if a geofence reaches a critical state, one or more areas can be cut off from the ODD.

Abstract: Service disruption prevention through chokepoint identification and monitoring is disclosed. The present disclosure seeks to prevent (or drastically reduce the probability) mass vehicle recovery events due to fragile portions of the map. Choke points are identified by iterating through the lane segments of a map and analyzing the effect of their removal on the service area. Once identified, tooling is used to actively monitor chokepoints using a hybrid polygon with high granularity. Down and upstream effects also can be determined. Based on the monitoring of lane segments and/or areas, location connectivity can be estimated and a map fragility calculated therefrom. If map fragility reaches a critical state, one or more areas can be cut off from the service area.

Abstract: A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.

Abstract: A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Abstract: A vehicle positioning method via data fusion and a system using the same are disclosed. The method is performed in a processor electrically connected to a self-driving-vehicle controller and multiple electronic systems. The method is to perform a delay correction according to a first real-time coordinate, a second real-time coordinate, real-time lane recognition data, multiple vehicle dynamic parameters, and multiple vehicle information received from the multiple electronic systems with their weigh values, to generate a fusion positioning coordinate, and to determine confidence indexes. Then, the method is to output the first real-time coordinate, the second real-time coordinate, and the real-time lane recognition data that are processed by the delay correction, the fusion positioning coordinate, and the confidence indexes to the self-driving-vehicle controller for a self-driving operation.

Abstract: A map database stores data describing a set of connected roads each having one or more lanes, each having one or more lanes. The map database further stores data describing at an avoidance area comprising an area in the map database that an autonomous vehicle (AV) avoids traversing. A routability system determines at least one lane that can be accessed by the AV if the AV traverses the avoidance area, and generates a restored coverage area corresponding to the at least one lane. The restored coverage area corresponds to an area of restored coverage provided by the AV traversing the avoidance area. The routability system computes a score based on the restored coverage area, the score indicating an impact of restoring access by the AV to the avoidance area.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.

Abstract: A method for controlling movement of an autonomous vehicle includes: estimating a set of tire force margins with respect to each wheel of the vehicle and a set of dynamic chassis margins associated with a chassis module of the vehicle; based on the margins, determining whether the vehicle is capable of moving in accordance with a decision command; when the determination is negative, outputting a request for update of the decision command; and when an updated decision command has not been received, calculating a set of marginal actuating signals based on the decision command, the margins, required slip angles respectively for the wheels and a center of percussion of the vehicle so as to make the autonomous vehicle move accordingly.

Abstract: A system and a method for active steering control with automatic torque compensation are disclosed with a processor that generates a targeted torque signal after receiving a steering assistance signal generated by an active driver assistance device, overlays the targeted torque signal on a driver's torque signal after receiving the driver's torque signal sensed by a torque sensor to generate a steering torque signal, and performs an assistance logic algorithm according to the steering torque signal. As the assistance logic algorithm is performed based on both the steering assistance signal and the driver's torque signal, the steering assistance effect provided by the system and the method will not resist against the way of driver's steering, allowing the driver to easily and stably control the vehicle.

Abstract: A trajectory planning method for lane changing of a vehicle includes steps of: calculating a current position of a reference point of the vehicle on a preliminary lane change trajectory that is received from an LCA system of the vehicle at a current time point; based on kinematics data received from an IMU of the vehicle, calculating longitudinal and lateral displacements of the reference point moving during a unit of time from the current time point to a next time point, and a yaw angle of the vehicle at the next time point; and obtaining a calibrated lane change trajectory based on the preliminary lane change trajectory, the current position, the longitudinal and lateral displacements, and the yaw angle.

Abstract: A trajectory planning method for lane changing of a vehicle includes steps of: calculating a current position of a reference point of the vehicle on a preliminary lane change trajectory that is received from an LCA system of the vehicle at a current time point; based on kinematics data received from an IMU of the vehicle, calculating longitudinal and lateral displacements of the reference point moving during a unit of time from the current time point to a next time point, and a yaw angle of the vehicle at the next time point; and obtaining a calibrated lane change trajectory based on the preliminary lane change trajectory, the current position, the longitudinal and lateral displacements, and the yaw angle.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.

Abstract: A lane tracking method is proposed for use by an autonomous vehicle running on a lane. A future location of the autonomous vehicle that corresponds to a future time point is estimated based on a current location and a measurement result of an inertial measurement unit of the autonomous vehicle. The future location of the autonomous vehicle, and a reference lane line data and a reference past location that correspond to a reference past time point are used to estimate a future lane line data that corresponds to the future time point.