Abstract: The present disclosure discloses an optical measurement device and method for a plasma magnetic field with adjustable sensitivity. The method comprises the following steps: constructing an optical rotation measurement system based on a pulsed laser beam for measuring an optical rotation image and a shadow image; processing the optical rotation image and the shadow image, and obtaining a distribution of proportional coefficients based on alight intensity distribution; obtaining a distribution of rotation angles based on a mapping relationship between the proportional coefficients and the rotation angles; constructing an interference measurement system based on the pulsed laser beam, and measuring a phase shift of an interference image; calculating a distribution of electron areal densities based on the phase shift in the interference image; obtaining a two-dimensional distribution of an average magnetic field based on the rotation angles and the electron areal densities.

Abstract: An alumina-based ceramic tool material with low thermal expansion and a preparation process thereof, accordingly, the ceramic tool material may have both the high hardness of alumina ceramics after the hot pressing sintering, and reduces the thermal expansion coefficient of the overall ceramic material by adding the Sc2W3O12 as the negative thermal expansion phase, which improves the thermal shock resistance of ceramic tools in high-speed cutting engineering and meets the requirements of large temperature range during the machining of nickel-based superalloys. Moreover, the composite material does not use metal binder and has strong thermal stability even in the high-speed machining under extreme heat-force-chemistry coupling, so it has a high machining compatibility for nickel-based superalloys.

Abstract: Disclosed is a method for measuring gas pressure of a close-distance seam group simultaneously, including the following steps: constructing a pressure-measuring drill hole inclined downwards; lowering a first seam piezometer tube, lowering a baffle and a polyurethane blocking material after a tube head reaching a lowermost seam; and installing a gas pressure gauge; lowering a second seam piezometer tube, lowering the baffle and the polyurethane blocking material after the tube head reaching a second layer of seam; and installing the gas pressure gauge; lowering a nth seam piezometer tube, lowering the baffle and the polyurethane blocking material after the tube head reaching a nth layer of seam; and installing the gas pressure gauge; injecting a high-water and quick-solidifying material into the drill hole; and connecting the gas pressure gauges through optical fibers, and connecting the gas pressure gauges with a ground control system.

Abstract: A liquid crystal antenna and a method for forming a liquid crystal antenna are provided. The liquid crystal antenna includes a first substrate; a second substrate opposite to the first substrate; and a liquid crystal layer disposed between the first substrate and the second substrate. A first conductive layer is disposed on a side of the first substrate facing toward the second substrate; a second conductive layer is disposed on a side of the second substrate facing toward the first substrate; the second conductive layer at least includes a plurality of radiation electrodes; an external metal layer is disposed on a side of the first substrate facing away from the liquid crystal layer; and the external metal layer is connected to a fixed potential.

Abstract: An embodiment of the present description provides a decoding method and device for a quantization block as well as an electronic device.

Abstract: An information processing method, a method for generating and training a module, an electronic device, and a medium are disclosed. The method for information processing may include acquiring a transmission parameter of service information in a network, where the transmission parameter is indicative of transmission performance of the service information in the network; and predicting transmission performance of the transmission parameter by means of a pre-trained network model, where the network model comprises a Graph Convolutional Network (GCN) model that is acquired according to transmission path information of the service information in the network.

Abstract: A method, system, device and computer-readable storage medium for inverse quantization. The method comprises: determining an initial weighted inverse quantization matrix, wherein, the initial weighted inverse quantization matrix is the same as the quantized block in size; setting some matrix elements in the initial weighted inverse quantization matrix to zero to obtain a weighted inverse quantization matrix, wherein, determining the matrix elements that need to be zeroed according to the size of the quantized block; weighted inverse quantizing the quantized coefficients in the quantized block to generate corresponding inverse transform coefficients, wherein, the value of the matrix element corresponding to the position of the quantized coefficient in the weighted inverse quantization matrix is used as a weight coefficient of the weighted inverse quantization.

Abstract: The present disclosure provides a service resource configuration method, including: configuring resource parameters for a service to be configured according to an action policy, calculating a timely reward in a current state, performing IV analysis according to the action policy, and ending one episode after the IV analysis is completed; calculating and updating, according to the timely reward in each state, an optimization objective policy parameter in each state; iterating a preset number of episodes to calculate and update the optimization objective policy parameter in each state; determining, according to the optimization objective policy parameter in each state in the preset number of episodes, an optimal optimization objective policy parameter in each state; and updating the action policy according to the optimal optimization objective policy parameter in each state.

Abstract: Techniques for top-down scene discrimination are discussed. A system receives scene data associated with an environment proximate a vehicle. The scene data is input to a convolutional neural network (CNN) discriminator trained using a generator and a classification of the output of the CNN discriminator. The CNN discriminator generates an indication of whether the scene data is a generated scene or a captured scene. If the scene data is data generated scene, the system generates a caution notification indicating that a current environmental situation is different from any previous situations. Additionally, the caution notification is communicated to at least one of a vehicle system or a remote vehicle monitoring system.

Abstract: An apparatus for dismounting and mounting a high-voltage line T-connector in a hot-line operation includes a lifting platform, a four-axis platform and an end-effector mechanism; the four-axis platform and the end-effector mechanism are both electrically conductive structures; the four-axis platform is fixedly mounted on the top of the lifting platform, and an insulating layer is provided between the four-axis platform and the lifting platform; the four-axis platform is movable in the X direction, the Y direction, and the Z direction, and is rotatable around the Z direction; the four-axis platform is provided with an equipotential mechanism; the end-effector mechanism is detachably fastened to the four-axis platform; and a bolt loosening/tightening mechanism or a nut cutting device capable of moving in the X direction, the Y direction, and the Z direction is provided on the end-effector mechanism.

Abstract: The present disclosure provides a method for optimizing OTN resources, including: determining and creating, according to an action policy, a service to be created in a current service creation state, calculating a timely reward in the current service creation state, entering a next service creation state until an episode is ended, and calculating and updating, according to the timely reward in each service creation state, an optimized objective policy parameter in each service creation state; iterating a preset number of episodes to calculate and update the optimized objective policy parameter in each service creation state; determining, according to the optimized objective policy parameter in each service creation state in the preset number of episodes, a resultant optimized objective policy parameter in each service creation state; and updating the action policy according to the resultant optimized objective policy parameter in each service creation state.

Abstract: Techniques for modeling the probability distribution of errors in perception systems are discussed herein. For example, techniques may include modeling error distribution for attributes such as position, size, pose, and velocity of objects detected in an environment, and training a mixture model to output specific error probability distributions based on input features such as object classification, distance to the object, and occlusion. The output of the trained model may be used to control the operation of a vehicle in an environment, generate simulations, perform collision probability analyses, and to mine log data to detect collision risks.

Abstract: Techniques for top-down scene generation are discussed. A generator component may receive multi-dimensional input data associated with an environment. The generator component may generate, based at least in part on the multi-dimensional input data, a generated top-down scene. A discriminator component receives the generated top-down scene and a real top-down scene. The discriminator component generates binary classification data indicating whether an individual scene in the scene data is classified as generated or classified as real. The binary classification data is provided as a loss to the generator component and the discriminator component.

Abstract: The present invention relates to a metal complex, an organic electroluminescent element containing same, and a consumer product. The metal complex of the present invention is used as a luminescent material to obtain a green phosphorescent material with a high luminescent efficiency. In addition, the prepared luminescent material has a good thermal stability. The organic electroluminescent element of the present invention emits a green phosphorescence and has advantages of a narrow emission spectrum, a high stability, and a high efficiency. An electronic device comprising the organic electroluminescent element of the present invention can enable a consumer product having green electroluminescence and an improved luminous efficiency.

Abstract: A glycosylation-modified erythropoietin, containing a glycan structure incorporated into an N-glycosylation site, wherein the glycan structure contains FA4G4L2S4.

Abstract: A method of manufacturing a high molecular weight heparin (HMWH) compound is disclosed. The method comprises dissolving heparin to form a heparin solution and fractionating the heparin solution via tangential flow filtration (TFF) using a membrane with a molecular weight cut off (MWCO) between about 8 kDa and about 12 kDa. The TFF yields a retentate comprising fractionated heparin with a weight average molecular weight of about 20 kDa or greater, i.e., a high molecular weight heparin compound. A substantial proportion of heparin chains in the fractionated heparin may have a high molecular weight, e.g., 50% of the heparin chains or greater may have a molecular weight of 20 kDa or greater.

Abstract: The present disclosure provides a method for optimizing OTN network resources, including: determining and creating a service to be created in a current service creating state according to an action policy, calculating a timely reward, entering a next service creating state, until an Episode is finished, calculating a comprehensive optimization parameter according to the timely reward, and calculating and updating a quantization index weight vector according to the comprehensive optimization parameter, where the action policy is a probability function related to the quantization index weight vector, and the quantization index weight vector corresponds to a plurality of quantization indexes; iterating a preset number of Episodes to obtain an optimized quantization index weight vector; and updating the action policy according to the optimized quantization index weight vector.

Abstract: A method and device for temperature monitoring of a power transistor formed in a semiconductor die comprising are disclosed. A side of a temperature-sensing resistor disposed in the semiconductor die is coupled to a voltage input side of the power transistor. A controller coupled to a second side of the temperature-sensing resistor is configured to detect a voltage across the resistor and trigger a temperature related corrective action using the detected voltage.

Abstract: A sea creature cleaning robot for an intake tunnel for a nuclear power plant includes a frame, cutter assemblies, and walking wheel assemblies; the frame is used for mounting and fixing cutter mounting seats and crawler wheels; the walking wheel assemblies mounted on the frame enable the entire device to normally walk in a tunnel; the cutter assemblies control the height of cutters by means of hydraulic cylinders to make the cutters contact the inner wall of the tunnel, and the hydraulic cylinders drive the saw-toothed cutters to move back and forth to remove sea creatures attached to the inner wall of the tunnel; the cutter assemblies are uniformly distributed on the frame, so as to ensure full coverage of the cleaning range of the cross section of the tunnel. The robot can clean sea creatures in tunnels in place of manual work to significantly improve the cleaning efficiency.

Abstract: Disclosed are a resource scheduling method, an electronic device and a storage medium. The resource scheduling method may include: acquiring an intelligent application processing request acquiring current resource usage information; matching an intelligent application instance according to the intelligent application processing request and creating a task according to the resource usage information and the intelligent application instance, to process the intelligent application processing request.