Abstract: The present disclosure discloses a neural network adaptive tracking control method for joint robots, which proposes two schemes: robust adaptive control and neural adaptive control, comprising the following steps: 1) establishing a joint robot system model; 2) establishing a state space expression and an error definition when taking into consideration both the drive failure and actuator saturation of the joint robot system; 3) designing a PID controller and updating algorithms of the joint robot system; and 4) using the designed PID controller and updating algorithms to realize the control of the trajectory motion of the joint robot. The present disclosure may solve the following technical problems at the same time: the drive saturation and coupling effect in the joint system, processing parameter uncertainty and non-parametric uncertainty, execution failure handling during the system operation, compensation for non-vanishing interference, and the like.

Abstract: Various embodiments of a computer-implemented system which learns textual representations while filtering out potentially personally identifying data and retaining semantic meaning within the textual representations are disclosed herein.

Abstract: A semiconductor structure including: a substrate including a plurality of conductive layers and a plurality of insulating layers stacked alternately with each other along a vertical direction of the substrate; a first conductive via structure extending from a top conductive layer of the conductive layers to a bottom conductive layer of the conductive layers and including a first capacitive structure, the first capacitive structure extending in a first conductive layer of the conductive layers; a second conductive via structure extending from the top conductive layer to the bottom conductive layer and including a second capacitive structure extending in the first conductive layer; and a third capacitive structure extending in the first conductive layer or a second conductive layer of the conductive layers, wherein the third capacitive structure forms a first mutual capacitance with the first capacitive structure and a second mutual capacitance with the second capacitive structure.

Abstract: A method and apparatus for keeping data consistent across different storage systems are provided. The method includes: when a first storage system is updated, processing first data to be unreadable, and generating or updating a version number corresponding to a first primary key; when the first data is unable to be read from a second storage system, acquiring a latest version number of the first primary key, and reading second data from the first storage system; comparing the acquired version number with the latest version number of the first primary key; if consistent, updating the second data into the second storage system using an atomic operation, and updating the version number corresponding to the first primary key; and if inconsistent, re-performing the step of acquiring the latest version number of the first primary key and reading the second data from the first storage system.

Abstract: Disclosed is a multi-dimensional analysis method for a tripping risk of a whole transmission line due to a lightning shielding failure. A quantity of thunderstorm days, a tower size, a terrain proportion, an altitude, and insulation configuration data are collected for a transmission line for which a tripping risk due to a lightning shielding failure needs to be analyzed, and a striking distance, an exposure distance, a lightning resisting level of the line after altitude factor correction, and a lightning shielding failure risk of a single-base tower are calculated in turn. Characteristics of a lightning shielding failure under different nominal heights, quantities of thunderstorm days, and terrains are studied. Representative combination conditions are selected to calculate a tripping risk of a typical tower due to the lightning shielding failure. A weight coefficient is extracted, to calculate a tripping risk of the whole line due to the lightning shielding failure.

Abstract: Disclosed is a sterilizable flexible surgical instrument system, comprising a flexible continuous body structure. The flexible continuous body structure comprises a distal structural body, a middle connecting body and a proximal structural body. The distal structural body comprises at least one distal structural segment, the distal structural segment comprising a distal spacing disk, a distal fixing disk and a structural backbone. The proximal structural body comprises the same number of proximal structural segments as distal structural segments, the proximal structural segments comprising a proximal spacing disk, a proximal fixing disk and a structural backbone. The proximal structural segment is linked to the distal structural segment via a middle connecting body. A transmission unit is further comprised. The transmission unit comprises a transmission mechanism fixing plate arranged in front of the middle connecting body.

Abstract: A moving device for a three-dimensional scanner, including a main body, a moving mechanism, a round tube, a driving mechanism and a fixing mechanism. A connecting rod is vertically fixed on an upper side of the main body. The moving mechanism is configured to drive the main body to move. The round tube is sleevedly provided on an outer side of the connecting rod. A fixing sleeve is vertically fixed on an inner side wall of the round tube. A sliding rod is insertedly provided in the fixing sleeve. A lower end of the sliding rod is fixedly connected to the main body, and an upper end extends to be below the 3D scanner and is provided with a top plate. When the round tube moves upward to an outer side of the 3D scanner, the round tube is fixed by the fixing mechanism.

Abstract: A chip and a chip testing method are provided. The chip includes a sending terminal circuit and a test circuit. The sending terminal circuit includes a signal sending unit and a first signal bump. The first signal bump is coupled to the signal sending unit. The test circuit is coupled to a circuit node between the signal sending unit and the first signal bump. The test circuit includes a first resistor, a unit gain buffer, and an analog-to-digital converter. A first terminal of the first resistor is coupled to the circuit node. A first input terminal of the unit gain buffer is coupled to a second terminal of the first resistor. A second input terminal of the unit gain buffer is coupled to an output terminal of the unit gain buffer. An input terminal of the analog-to-digital converter is coupled to the output terminal of the unit gain buffer.

Abstract: A chip and a chip test method are provided. The chip includes a receiver circuit and a test circuit. The receiver circuit includes a signal receiving unit and a signal bump. The signal bump is coupled to the signal receiving unit. The test circuit is coupled to a circuit node between the signal receiving unit and the signal bump. The test circuit includes a digital-to-analog converter, a first resistor, and a unit gain buffer. A first terminal of the first resistor is coupled to the circuit node. An output terminal of the unit gain buffer is coupled to a second terminal of the first resistor. A first input terminal of the unit gain buffer is coupled to an output terminal of the digital-to-analog converter. A second input terminal of the unit gain buffer is coupled to an output terminal of the unit gain buffer.

Abstract: A method for operating a robotic system that includes calculating a base motion plan, wherein the base motion plan includes a sequence of commands or settings, or a combination thereof, that operates a robotic arm and a gripper to transfer a target object from a start location to a task location; receiving a contact measure while executing the base motion plan, wherein the contact measure represents an amount of grip of the gripper on the target object; and generating one or more actuator commands/settings that deviate from the base motion plan when the contact measure fails to satisfy a threshold, wherein the one or more actuator commands/settings thereof are configured to operate the robotic arm, the gripper, or a combination thereof to execute one or more response actions not included in the base motion plan.

Abstract: This disclosure provides for methods and system for meta few-shot class incremental learning. According to an aspect a method is provided. The method includes obtaining at least one weight attention map of a first network and updating weights of a second network using the at least one weight attention map, where the second network is a modulatory network. The method further includes generating at least one feature attention map of the second network based on the at least one weight attention map of the first network and a set of input images of at least one class. The method further includes generating at least one feature map of the first network based on the set of input images of the at least one class, and updating the at least one feature map of the first network based on the feature attention map of the second network.

Abstract: Disclosed are a flexible surgical instrument and a driving unit thereof. The flexible surgical instrument may comprise a flexible continuous body structure composed of a distal structural body, a middle connecting body and a proximal structural body linked in sequence. The driving unit is linked to the flexible continuous body structure. When a structural backbone driving mechanism in the driving unit drives the proximal structural body to turn in any direction, the distal structural body correspondingly turns in the opposite direction. A surgical end effector driving mechanism in the driving unit can drive a surgical end effector linked to the distal end of the distal structural body to implement the action control of the surgical end effector.

Abstract: The present disclosure is related to a dual ring gas burner wherein the outer ring includes multipoint injection with bottom breathing and the inner ring works with top breathing. Two flame rings are included along with burner ports on the caps. As a result, better heating distribution is achieved along with greater ease in cleaning and combined simmer functions with high ratings by having the outer ring gas flow not interfering with the inner ring.

Abstract: A system employs Graph Prototypical Networks (GPN) for few-shot node classification on attributed networks, and a meta-learning framework trains the system by constructing a pool of semi-supervised node classification tasks to mimic the real test environment. The system is able to perform meta-learning on an attributed network and derive a highly generalizable model for handling the target classification task. The meta-learning framework addresses extraction of meta-knowledge from an attributed network for few-shot node classification, and identification of the informativeness of each labeled instance for building a robust and effective model.

Abstract: A core data-based storage method for radial multidimensional documents according to an embodiment includes classifying first documents with same document type information into a preset folder to obtain a classified folder; acquiring the total number of levels of document level information of all non-core documents; and displaying preset target images at core display positions and/or non-core display positions, and setting a corresponding storage link path for each of the displayed preset target images. The documents may be stored by classification and displayed visually.

Abstract: Various embodiments for few-shot network anomaly detection via cross-network meta-learning are disclosed herein. An anomaly detection system incorporating a new family of graph neural networks—Graph Deviation Networks (GDN) can leverage a small number of labeled anomalies for enforcing statistically significant deviations between abnormal and normal nodes on a network. Further, the GDN is equipped with a new cross-network meta-learning algorithm (Meta-GDN) to realize few-shot network anomaly detection by transferring meta-knowledge from multiple auxiliary networks. Extensive evaluations demonstrate the efficacy of the anomaly detection system and the Meta-GDN on few-shot or even one-shot network anomaly detection.

Abstract: A photodetector based on PtSe2 and a silicon nanopillar array includes a PMMA light-transmitting protective layer, a graphene transparent top electrode, a silicon nanopillar array structure coated with few-layer PtSe2, and metal electrodes of the graphene transparent top electrode and the silicon nanopillar array structure. A method for preparing the photodetector includes steps of: preparing graphene with a CVD method; preparing a silicon nanopillar array structure through dry etching; coating few-layer PtSe2 on surfaces of the silicon nano-pillar array structure through laser interference enhanced induction CVD; preparing graphene transparent top electrode; and magnetron-sputtering metal electrodes. The photodetector prepared by the present invention has a detection range from visible light to near-infrared wavebands. The silicon nanopillar array structure enhances light absorption of the detector, so that the detector has high sensitivity, simple structure and strong practicability.

Abstract: A wafer level ultrasonic chip module includes a substrate, a composite layer, a conducting material, and a base material. The substrate has a through slot that passes through an upper surface of the substrate and a lower surface of the substrate. The composite layer includes an ultrasonic body and a protective layer. A lower surface of the ultrasonic body is exposed from the through slot. The protective layer covers the ultrasonic body and a partial upper surface of the substrate. The protective layer has an opening, from which a partial upper surface of the ultrasonic body is exposed. The conducting material is in contact with the upper surface of the ultrasonic body. The base material covers the through slot, such that a space is formed among the through slot, the lower surface of the ultrasonic body and an upper surface of the base material.

Abstract: Various embodiments of systems and methods for cross media joint friend and item recommendations are disclosed herein.

Abstract: Various embodiments of systems and methods for inductive anomaly detection on attributed networks using a graph neural layer to learn anomaly-aware node representations and further employ generative adversarial learning to detect anomalies among new data are disclosed herein.