Abstract: A method and system for adjusting vehicle operations. Wheel sensors are disposed to detect parameters associated with treads of wheels and parameters associated with road conditions. An electronic control unit receives information from the wheel sensors. The electronic control unit determines a performance metric of the wheels based on the parameters associated with treads. The electronic control unit receives determine adjustments for operation of the vehicle based on the performance metric and the parameters associated with road conditions.

Abstract: The present invention provides an advanced driver assistance system for assisting a driver of a vehicle. The system comprises a sensor unit, a processing unit and a display unit. The sensor unit is configured to sense an environment of the vehicle. The processing unit is configured to determine, based on a sensing output, at least one feature of the environment. The processing unit is configured to determine, for a current time, a risk zone of the feature, by estimating, based on at least one parameter of the vehicle at the current time, at each virtual position of two or more virtual positions of the vehicle a respective risk with regard to the feature; and by forming the risk zone based on the two or more risks. The display unit is configured to display the environment of the vehicle with the feature and the risk zone of the feature.

Abstract: A method and simulation system for controlling at least one effector trajectory for solving a predefined task by at least one virtual effector. The method includes acquiring a sequence of postures to modify at least one of a contact constraint topology and an object constraint topology, generating a set of constraint equations based on at least one of the modified contact constraint topology and the modified object constraint topology, performing constraint relaxation on the generated set of constraint equations to generate a task description including the relaxed set of constraint equations, generating the effector trajectory by applying a trajectory generation algorithm on the generated task description, performing an inverse kinematics algorithm on the generated effector trajectory for generating a control signal, outputting the control signal to an output device, and generating, by the output device, image information displaying the effector trajectory of the virtual effector based on the control signal.

Abstract: Disclosed herein are chimeric antigen receptor (CAR) polypeptides that can be used with adoptive cell transfer to target and kill TIM3-expressing cancers. Also disclosed are immune effector cells, such as T cells or Natural Killer (NK) cells, that are engineered to express these CARs. Therefore, also disclosed are methods of providing an anti-tumor immunity in a subject with a TIM3-expressing cancer that involves adoptive transfer of the disclosed immune effector cells engineered to express the disclosed CARs.

Abstract: The present invention relates to an image encoding/decoding method and apparatus. The image decoding method according to the present invention may comprise acquiring transform coefficients distribution information of a neighboring block from a bitstream; direction-adaptively determining an intra prediction mode of a current block to be decoded, according to the transform coefficients distribution information of the neighboring block; and reconstructing the current block, based on the determined intra prediction mode, wherein the direction-adaptively determining includes determining similarity flag information corresponding to the neighboring block, based on the transform coefficients distribution information of the neighboring block.

Abstract: Cellular targets on cancer cells have been identified that can be used with targeted molecular imaging to detect the cancer cells in vivo. Non-invasive methods for detecting cancer cells, such as metastasized cancer cells, are therefore provided. Also provided are compositions and kits for use in the disclosed methods.

Abstract: The present application relates to method for computing the factor of safety of a slope including the following steps. Step 1: input parameters of a slope. Step 2: formulae a formula of stability number N into a target function and determine constrained conditions of geometric parameters ? and ?. Step 3: obtain a minimum stability number N. Step 4: determine a position of a critical slip surface. Step 5: transform the critical slip surface defined by ?, ? and n into a critical slip surface defined by R, xc and yc, and compute overturning moments of slid masses above and below external water level of the critical slip surface. Step 6: resolve an equivalent unit weight. Step 7: resolve the factor of safety FS.

Abstract: Methods and systems for reducing the temperature of the charge air provided to a turbocharged internal combustion engine. A supercharger is installed on the air intake path, upstream the turbocharger's compressor. A secondary charge air cooler is installed between the supercharger and the main compressor. This over-compresses the intake air, so that an expansion turbine installed downstream the turbocharger's compressor can cool the charge air and still provide sufficient charge air pressure into the intake manifold.

Abstract: A secondary horn system for a vehicle includes a processor and a memory communicably coupled to the processor and storing a secondary horn system control module. The control module may include instructions that when executed by the processor cause the processor to determine a presence of an alert space along a projected path of the vehicle and, responsive to a determination of the presence of an alert space, control operation of a secondary horn system to transmit a sound into the alert space. The system may provide for autonomous operation of the secondary horn system in certain driving situations, thereby easing demands on the driver and enhancing driver safety.

Abstract: In one embodiment, a system for removing LiDAR points is provided. An image is received from a camera and a plurality of points is received from a LiDAR sensor. The points are placed on the image based on coordinates associated with each point. The image is divided into a plurality of cells by placing a grid over the image. For each cell, a threshold is calculated based on the minimum distance between the points in the cell and the camera. The threshold may control how many points are allowed to remain in each cell. After calculating the thresholds, points are removed from each cell until the number of points in each cell do not exceed the threshold for the cell. The image and/or the reduced plurality of points are then used to provide one or more vehicle functions.

Abstract: A zero padding apparatus and method for fixed length signaling information are disclosed. A zero padding apparatus according to an embodiment of the present invention includes a processor configured to generate a LDPC information bit string by deciding a number of groups whose all bits are to be filled with 0 using a difference between a length of the LDPC information bit string and a length of a BCH-encoded bit string, selecting the groups using a shortening pattern order to fill all the bits of the groups with 0, and filling at least a part of remaining groups, which are not filled with 0, with the BCH-encoded bit string; and memory configured to provide the LDPC information bit string to an LDPC encoder.

Abstract: Disclosed are a method and apparatus for modeling a network configuration protocol (NETCONF)-based network device instruction with a yet another next generation (YANG) language. The method of modeling the NETCONF)-based network device instruction with the YANG language includes: searching for at least one instruction from a source file for controlling a NETCONF-based network device; parsing the retrieved instruction into a plurality of tokens; mapping each parsed token with a data type of the YANG language according to a previously defined mapping rule; and generating a YANG model corresponding to the at least one instruction according to mapping results. Accordingly, the YANG model is immediately generated reflecting changes in an instruction of a network system.

Abstract: Systems and methods for three-dimensional object detection are disclosed herein. One embodiment inputs, to a neural network, a two-dimensional label associated with an object to produce a Normalized-Object-Coordinate-Space (NOCS) image and a shape vector, the shape vector mapping to a continuously traversable coordinate shape space (CSS); decodes the NOCS image and the shape vector to an object model in the CSS; back-projects, in a frustum, the NOCS image to a LIDAR point cloud; identifies correspondences between the LIDAR point cloud and the object model to estimate an affine transformation between the LIDAR point cloud and the object model; iteratively refines the affine transformation using a differentiable SDF renderer; extracts automatically a three-dimensional label for the object based, at least in part, on the iteratively refined affine transformation; and performs three-dimensional object detection of the object based, at least in part, on the extracted three-dimensional label for the object.

Abstract: A transformable stratospheric airship includes an upper shell, a lower shell, a foldable hull, and a plurality of cable control mechanisms provided on the upper shell and the lower shell. The foldable hull includes a sealed body, a plurality of guide holes arranged outside the sealed body and a cable which passes through the guide holes according to a predetermined order. The cable is configured to keep a shape of the sealed body and connected to the cable control mechanisms to fix the sealed body to the upper shell and the lower shell. The foldable hull is foldable and extendable along a vertical direction of the transformable stratospheric airship by controlling a length of the cable via the cable control mechanisms.

Abstract: A kit for resuscitating a subject, particularly a neonatal patient, is described. In an embodiment, the kit includes a syringe having a tip defining a male Luer taper fitting, and an adaptor defining a first end portion shaped to couple with the male Luer taper fitting and a second end portion shaped to cooperatively couple with an opening of an endotracheal tube.

Abstract: A method and apparatus of transmitting in a wireless communication system is provided. A transmitter generates a group management frame including a group information and position information and a data frame including a group control information having a group identifier for each of a plurality of groups. The group information indicates whether the receiver is a member of each of the plurality of groups. The position information indicates a position of at least one stream corresponding to at least one group of which the receiver is a member.

Abstract: Disclosed herein are a method and apparatus for image encoding and decoding using prediction based on a block shape. Whether a prediction mode is available for a target block is determined. The determination is performed based on the shape of the target block. When the prediction mode is determined to be unavailable for the target block, signaling related to the prediction mode may be omitted, and determination of an additional prediction mode is performed. When the prediction mode is determined to be available for the target block, information indicating whether the prediction mode is to be used for the target block is signaled.

Abstract: Method of recognizing a SPO tuple relationship based on deep learning includes reading a natural language sentence stored in a first storage in which a natural language sentence and an SPO tuple are configured in pairs and stored, generating dependent syntax relationship information by parsing a dependent syntax from the natural language sentence, reading the SPO tuple paired with the natural language sentence stored in the first storage, generating dependent-syntax-based first SPO tuple relationship information for training a deep learning model based on the SPO tuple, the natural language sentence, and the dependent syntax relationship information, performing embedding on the dependent syntax relation information, recognizing second SPO tuple relationship information by inputting the embedded dependent syntax relationship information to a multi-layered bidirectional time series neural network model, and training the deep learning model by comparing the first and second SPO tuple relationship information.

Abstract: Disclosed herein are a method, apparatus, and storage medium for image encoding/decoding. In the image decoding method, whether filtering is to be performed across a boundary of a target block is determined, and filtering strength for the boundary of the target block and the number of samples to be used for filtering are determined. Based on this determination, filtering across the boundary of the target block is performed. When the filtering strength and the number of samples are determined, coding parameters related to the target block and a neighbor block, such as a block size and a prediction mode, are used.

Abstract: A chip package including a heat-dissipating device, a first thermal interface material layer disposed on the heat-dissipating device, a patterned circuit layer disposed on the first thermal interface material layer, a chip disposed on the patterned circuit layer and electrically connected to the patterned circuit layer, and an insulating encapsulant covering the chip, the patterned circuit layer, and the first thermal interface material layer is provided. The first thermal interface material layer has a thickness between 100 ?m and 300 ?m. The first thermal interface material layer is located between the patterned circuit layer and the heat-dissipating device.