Abstract: The Intelligent Information Conversion System (IICS) facilitates real-time dynamic information exchange among connected and automated vehicle (CAV), roadside intelligent unit (RIU), and cloud platform. The system comprises a codebook, coding module, connector module, and supporting system. The codebook provides a standardized format for information exchange, using a sequence of integers corresponding to various categories such as vehicle automation level, vehicle type, and road category. The coding module encodes and decodes information to enable seamless communication among CAV, RIU, and cloud platform, optimizing data transmission and service levels for autonomous driving. The system supports sorting, encoding, and decoding information into a codebook string, improving real-time interaction and information flow across connected environments. It enhances vehicle automation and supports dynamic, context sensitive data exchanges between different entities in the autonomous ecosystem.

Abstract: The invention provides systems and methods for a vehicle-based cloud computing system (VCCS) for autonomous driving. This VCCS builds world models based on a series of complex scenario data to optimize sensing, prediction, planning, decision making, and control for autonomous driving. The VCCS can execute vehicle control algorithms, train general AI models, and make inferences to optimize autonomous driving. Specifically, it dynamically adjusts driving strategies based on long tail scenarios including but not limited to weather, work zone information, and traffic status, ensuring safe and efficient vehicle operation. Additionally, the VCCS can gather supplementary data from (a) a roadside unit (RSU) network, (b) another OBU, (c) a cloud platform, (d) a traffic control center/traffic control unit (TCC/TCU), and (e) a traffic operations center (TOC), thereby further improving control and efficiency in complex driving environments.

Abstract: This technology provides systems and methods for a vehicle computing system (VCS) for autonomous driving. This VCS furnishes End-to-End models that provide sensing, prediction, planning, decision-making, and control functions. The VCS executes vehicle control algorithms, trains general AI models, and makes inferences from those AI models. Specifically, a computing subsystem of the VCS performs computation methods that train a tensor-centered model and/or make inferences from a tensor-centered model. Additionally, the VCS gathers data from a roadside unit network, an onboard unit, a cloud platform, a traffic control center/traffic control unit, and a traffic operations center (TOC), thereby enhancing the safety and efficiency of autonomous driving.

Abstract: This disclosure relates to a biological tissue forming method includes the following steps: providing a biological tissue forming package with a base, a membrane, a sliding assembly and a sealing film that seals a chamber of the base used for receiving the membrane and the sliding assembly with one of the base and the sealing film being light-transmitting; passing a biological tissue fluid through the sealing film and the sliding assembly so as to be dispensed on the membrane; moving the sliding assembly away from a covering position used for covering the membrane via at least one passive magnetic element so as to expose the biological tissue fluid on the membrane; and emitting the biological tissue fluid exposed on the membrane by a curing light transmitting through the one of the base and the sealing film so as to cure the biological tissue fluid into a biological tissue.

Abstract: Provided herein is technology relating to aspects of a Distributed Driving System (DDS) for managing Connected and Automated Vehicles (CAV) and particularly, but not exclusively, to systems, designs, and methods for a Device Allocation System (DAS) configured to allocate and distribute resources to devices of a Distributed Driving Systems (DDS).

Abstract: A load lock in which the pumping speed is controlled so as to minimize the possibility of condensation is disclosed. The load lock is in communication with a vacuum pump and a valve. A controller is used to control the valve such that the supersaturation ratio within the load lock does not exceed a predetermined threshold, which is less than or equal to the critical value at which vapor condenses. In certain embodiments, a computer model is used to generate a profile, which may be a pumping speed profile or a pressure profile, and the valve is controlled according to the profile. In another embodiment, the load lock comprises a temperature sensor and a pressure sensor. The controller may calculate the supersaturation ratio based on these parameters and control the valve accordingly.

Abstract: Provided herein is a technology for an Autonomous Vehicle Cloud System (AVCS). This AVCS provides sensing, data fusion, prediction, decision-making, and/or control instructions for specific vehicles at a microscopic level based on data from one or more of other vehicles, roadside unit (RSU), cloud-based platform, and traffic control center/traffic control unit (TCC/TCU). Specifically, the AVs can be effectively and efficiently operated and controlled by the AVCS. The AVCS provides individual vehicles with detailed time-sensitive control instructions for fulfilling driving tasks, including car following, lane changing, route guidance, and other related information. The AVCS is configured to predict individual vehicle behavior and provide planning and decision-making at a microscopic level. In addition, the AVCS is configured to provide one or more of virtual traffic light management, travel demand assignment, traffic state estimation, and platoon control.

Abstract: A control circuit generates a set signal based on an output voltage and a reference voltage signal, a total output current and a reference current signal, and each sub-control circuit receives the set signal; a next sub-control circuit receives an enable signal generated by its previous sub-control circuit, and generates a corresponding switch control signal and an enable signal acting on its next sub-control circuit to control the corresponding switch circuit to turn on or turn off based on the received enable signal and the set signal. The present disclosure can control sequential conduction of the plurality of switch circuits through the signal transmission among the multiple sub-control circuits, and can implement overcurrent protection when the total output current is overcurrent, and implement the control of the switch circuit when the total output current is not overcurrent based on the comparison of the output voltage and the reference voltage signal.

Abstract: A calibration system and a calibration method for state of charge (SOC) and state of health (SOH) in an energy storage system are provided. The calibration system includes a Main Battery Management System (MBMS) and a plurality of racks, wherein, when the MBMS determines that one of the plurality of racks meets auto-calibration conditions, the MBMS utilizes a battery feature value extraction algorithm to obtain feature value data of each of battery packs, and predicts the number of battery cycles for each of the battery packs via a battery aging correction model. In this way, the SOC and the SOH for each of the battery packs can be accurately calculated, so that maintenance personnel can clearly comprehend the status of each of the racks, thereby improving the efficiency of power management.

Abstract: Provided herein is a technology for an Autonomous Vehicle Intelligent System (AVIS), which facilitates vehicle operations and control for autonomous driving. The AVIS and related methods provide vehicles with vehicle-specific information for a vehicle to perform driving tasks such as car following, lane changing, and route guidance. The AVIS comprises an onboard unit (OBU), wherein the OBU comprises a communication module communicating with one or more of other autonomous vehicles (AV), a roadside unit (RSU), a cloud platform, and a traffic control center/traffic control unit (TCC/TCU). The AVIS implements one or more of the following functions: sensing, prediction, decision-making, and vehicle control using onboard information and vehicle-specific information received from other AVs, the RSU, the cloud platform, and/or the TCC/TCU.

Abstract: A cell and tissue sheet forming package includes a container body, a membrane, a sliding door plate and a sealing film. The sliding door plate is disposed slidably on a top of the container body to cover or expose the membrane. The sliding door plate has a hole and a passive magnetic assembly. The cell injection equipment includes a carrier, an injection mechanism and a drive mechanism. The carrier carries the package, and the drive mechanism moves the carrier and the injection mechanism to have the injection mechanism to inject a solution, through the hole, into the package. A heating element of the carrier is introduced to heat the membrane and the solution to transform the solution into a colloid sheet on the membrane. Then, the positive magnetic assembly engages magnetically the passive magnetic assembly to slide the sliding door plate to expose the colloid sheet on the membrane.

Abstract: The present disclosure provides an error amplifier, a switching converter, and a control method of the error amplifier. The error amplifier includes: an operation module for outputting a regulation signal according to a difference between a feedback voltage and a reference voltage, wherein the feedback voltage represents an output voltage of the switching converter, and the regulation signal is used to regulate an output current of the switching converter; a regulation module for regulating a transconductance of the operation module according to an absolute value of the difference between the feedback voltage and the reference voltage or an absolute value of the regulation signal. When an output of the switching converter changes greatly, the transconductance of the error amplifier is increased in real time, thereby a bandwidth is increased to achieve a fast response of the switching converter. The switching converter has high stability when the output is normal.

Abstract: The invention provides systems and methods for a computing power allocation system for autonomous driving (CPAS-AD), which is a component of an Intelligent Road Infrastructure System (IRIS). The CPAS-AD incorporates advanced computing capabilities that effectively allocate computational power for sensing, prediction, planning, decision-making, and control functions to enable end-to-end driving functions. In addition to the vehicle, the CPAS-AD can acquire additional computation resources from one or more of: (a) a roadside unit (RSU) network, (b) a cloud platform, (c) a traffic control center/traffic control unit (TCC/TCU), and (d) a traffic operations center (TOC). Additionally, tailored to different traffic scenarios, the CPAS-AD can allocate data and computation resources (including but not limited to CPU and GPU) for vehicle sensing, prediction, planning, decision-making, and control functions, thereby enabling safe and efficient autonomous driving.

Abstract: The invention provides systems and methods for a function-based computing power allocation system (FCPAS), which is a component of an Intelligent Road Infrastructure System (IRIS). The FCPAS incorporates advanced computing capabilities that effectively allocate computational power for prediction, planning, and decision making functions. Specifically, through the FCPAS, an AV can acquire additional computational resources for vehicle prediction, planning, and decision-making functions, thereby enabling safe and efficient autonomous driving. Additionally, tailored to different traffic scenarios, the FCPAS can allocate data and computational resources (including but not limited to CPU and GPU) for vehicle automation.

Abstract: Provided herein is technology relating to automated driving and, more particularly, to an automated driving system comprising a Connected Automated Vehicle Subsystem that interacts in real-time with a Connected Automated Highway Subsystem to provide coordinated sensing; coordinated prediction and decision-making; and coordinated control for transportation management and operations and control of connected automated vehicles.

Abstract: The technology provided herein relates to a roadside infrastructure sensing system for Intelligent Road Infrastructure Systems (IRIS) and, in particular, to devices, systems, and methods for data fusion and communication that provide proactive sensing support to connected and automated vehicle highway (CAVH) systems.

Abstract: An implantable spacer for placement between adjacent spinous processes in a spinal motion segment is provided. The spacer includes a body defining a longitudinal axis and passageway. A first arm and a second arm are connected to the body. Each arm has a pair of extensions and a saddle defining a U-shaped configuration for seating a spinous process therein. Each arm has a proximal earning surface and is capable of rotation with respect to the body. An actuator assembly is disposed inside the passageway and connected to the body. When advanced, a threaded shaft of the actuator assembly contacts the earning surfaces of arms to rotate them from an undeployed configuration to a deployed configuration. In the deployed configuration, the distracted adjacent spinous processes are seated in the U-shaped portion of the arms.

Abstract: Provided are a sound gathering device for voiceprint monitoring and a preparation method. The sound gathering device is a cone structure and includes a front end portion (1) and a rear end portion (2), the front end portion (1) is trumpet-shaped, an inner wall surface of the front end portion (1) is present a pattern array of a microstructure (3), and the microstructure (3) presenting the pattern array is formed through laser etching. A sound wave frequency monitored by the sound gathering device is 50 Hz˜10 kHz, and a sound wave enters the sound gathering device from an entrance of the front end portion (1), is reflected through the pattern array of the microstructure (3) on the inner wall surface of the front end portion (1), and is transmitted from an exit of the rear end portion (2), and a sound pressure of the exit of the rear end portion (2) is 4 times˜8 times a sound pressure of the entrance of the front end portion (1).

Abstract: A semiconductor device has a power switching component configured to control the flow of current through a load path, a current sensing component configured to sense the current flow through the load path, and an electrostatic discharge “ESD” protection component configured to protect the current sensing component from an electrostatic discharge. The ESD protection component has an ESD transistor. The ESD transistor has a gate that connected to a discharge path so that the presence of a discharge of a first polarity causes the ESD transistor to switch on to form a further path for dissipation of a discharge.

Abstract: A method for pulse heating a power battery of an electric vehicle and an electric vehicle. A powertrain includes a first power circuit and a second power circuit. The method is used to control the second power circuit or a motor power circuit to generate a pulse alternating current on a direct current bus, and the pulse alternating current is used to heat the power battery. A phase value of a pulse alternating current output by at least one of the first power circuit and the second power circuit is adjusted, to reduce a phase difference between a pulse alternating current generated by the first power circuit and a pulse alternating current generated by the second power circuit, thereby improving heating efficiency of the power battery.