Abstract: The control system based on multi-unmanned aerial vehicle (UAV) cooperative strategic confrontation includes a management module, a UAV formation module, a situation assessment module, a decision-making module, and a cooperative mission assigning module of both sides in a confrontation. The management module is configured to store state information acquired by the UAV formation module. The UAV formation module is configured to acquire state information of UAVs and execute a control instruction. The situation assessment module is configured to acquire situation assessment information according to the state information. The decision-making module is configured to acquire a countermeasure based on the situation assessment information. The cooperative mission assigning module is configured to generate control instructions for the UAVs based on the countermeasure and in combination with a confrontation target and an optimal situation assessment value.

Abstract: A fault arc signal detection method using a convolutional neural network, comprising: enabling a sampling signal subjected to analog-digital conversion to respectively pass through three different band-pass filters; respectively extracting a time-domain feature and a frequency-domain feature from a half wave output of each filter; constructing a two-dimensional feature matrix by means of extracted time-frequency feature vectors from the output of each filter, and stacking the feature matrices corresponding the outputs of the three filters to construct a three-dimensional matrix for each half wave; and processing a multi-channel feature matrix by using a multi-channel two-dimensional convolutional neural network, and determining, according to the output result of the neural network, whether the half wave is an arc.

Abstract: A coalescing filter element (300) with double drainage layers, including an inner coalescing component (1) configured to captured a large amount of liquid in gas, and an outer coalescing component (2) configured to coalesce and filter a small amount of liquid remaining in the gas. The inner coalescing component (1) and the outer coalescing component (2) are cylindrical structures disposed in a vertical direction and opened at two ends. The outer coalescing component (2) is sleeved on an outer side of the inner coalescing component (1), and an annular drainage space (3) is formed between the inner coalescing component (1) and the outer coalescing component (2). A top end cap (4) is provided on top ends of the inner coalescing component (1) and the outer coalescing component (2). A bottom end cap (5) is provided on bottom ends of the inner coalescing component (1) and the outer coalescing component (2).

Abstract: This disclosure relates to techniques for a wireless device to predict and mitigate thermal pressure. Status information for multiple parameters for the wireless device may be received. A predicted thermal status for the wireless device may be determined based at least in part on the status information for the multiple parameters for the wireless device. The wireless device may determine whether to perform thermal mitigation action based at least in part on the predicted thermal status for the wireless device.

Abstract: The present invention relates to a reliability calculation method of a power distribution system considering hierarchical decentralized control of demand-side resources, including the following steps: step 1, establishing a multi-state model of wind turbine output and a two-state model of wind turbine failure, which respectively consider randomness of wind speed and uncertainty of wind turbine failure; step 2, establishing a multi-state reliability model of distributed wind power system including a plurality of wind turbines; step 3, establishing a reliability model of information communication system considering hierarchical decentralized control of random failures and information delays; step 4, establishing a reliability model of demand-side resources considering hierarchical decentralized control; and step 5, calculating a value of reliability of a power distribution system considering hierarchical decentralized control of demand-side loads, to acquire an analysis result of the reliability of the power di

Abstract: The invention pertains to the use of porous, chemically interconnected, isotropic carbon-nanofibre-comprising carbon networks for electromagnetic interference shielding (EMI). The invention also relates to a A composite assembly comprising a thermoplastic, elastomeric and/or thermoset polymer matrix and at least 15 wt%, preferably at least 20 wt%, more preferably 20 - 80 wt% of porous, chemically interconnected, crystalline carbon-nanofibres comprising carbon networks based on the total assembly weight.

Abstract: Source code of a golden version and a next version of a program is received in which procedure calls are modified to call from an entry point table (EPT) with index numbers corresponding to procedure memory addresses. An executable defect-free golden version program and next version program with a defect are received. A first entry point table (first EPT) for the new version program and a second EPT for the golden version program are generated. A series of substitutions of procedures from the second EPT to the first EPT is performed and an order of substitutions includes: a module set, a module of the module set, a procedure set of the module, and a procedure of the procedure set. The defect producing procedure is identified by substituting in order until the defect is absent and proceeding to the next substitution in order.

Abstract: A kinetic sculpture and an intelligent control system are provided which comprise a plurality of movable bases (500), and the movable bases are arranged radially along a circumferential direction around a centerline disposed vertically; a bearing unit (400) is mounted on each of the movable bases (500), a vertical column (100) is mounted on the bearing unit (400), and a blade unit (200) is disposed on the column (100); the bearing units (400) move the columns (100) along the moving paths on the respective movable bases toward the position of the centerline or away from the position of the centerline to achieve combination or separation; the column systems correspondingly control each of the columns (100) to move. The kinetic sculpture enables the blades (201) of the kinetic sculpture to present a contour shape in gathered and separated states.

Abstract: Examples described herein provide a computer-implemented method for multi-user debugging of a program. The method includes receiving a first request from a first developer to initiate a debug of the program and receiving a second request from a second developer to initiate the debug of the program. The method further includes, responsive to receiving the first request and the second request, initiating the debug of the program. The method further includes sending first source code for the program to the first developer, wherein the first source code is associated with the first developer. The method further includes sending second source code for the program to the second developer, wherein the second source code is associated with the second developer. The method further includes updating the program responsive to receiving a change to at least one of the first source code or the second source code.

Abstract: Provided is an antibody or antigen binding fragment, capable of recognizing an antigen peptide comprising SEQ ID NO: 7 (KNKKIYDGG); or recognizing an epitope comprising SEQ ID NO: 7 in Claudin 18.2; preferably recognizing a peptide comprising SEQ ID NO: 6 (KNKKIYDGGART); or recognizing an epitope comprising the SEQ ID NO: 6 in the Claudin 18.2.

Abstract: An additive manufacturing apparatus includes a first print module includes a first stage configured to hold a first component and a first radiant energy device. The resin support is configured to be positioned between the first stage and the first radiant energy device. A second print module includes a second stage configured to hold a second component and a second radiant energy device. The resin support is configured to be positioned between the second stage and the second radiant energy device. A control system is configured to translate the resin support based on a condition of the first print module and the second print module through the first print module and the second print module.

Abstract: An additive manufacturing apparatus includes a build module. A feed module is configured to support a first portion of a resin support. The first portion of the resin support is supported by a feed mounting panel. A take-up module is configured to support a second portion of the resin support. The second portion of the resin support is supported by a take-up mounting panel and is positioned on an opposing side of the radiant energy device from the feed module. An adjustment assembly is configured to adjust a position of at least one of a feed mandrel within the feed module or a take-up mandrel within the take-up module.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for sending a reduced size message. One of the methods includes receiving, by a wireless device, a request to send, over a wireless network, a message comprising one or more phrases; determining that a connection quality for the wireless network does not satisfy a connection quality threshold; generating, responsive to determining that the connection quality threshold is not satisfied, a reduced-size message based at least in part on the one or more phrases; and sending, by the wireless device and via the wireless network, the reduced-size message.

Abstract: An approach is provided in which the approach loads a machine learning model and a set of test case statistical data into a user system. The set of test case statistical data is based on a set of test cases corresponding to the machine learning model and includes a plurality of input parameter sets and a corresponding set of output quality measurements. The approach compares user data on the user system against the set of test case statistical data and identifies one of the plurality of input parameter sets to optimize the machine learning model based on the set of output quality measurements. The approach generates an optimized machine learning model using the machine learning model and the identified input parameter set at the user system.

Abstract: Systems and methods are provided to recommend software patches based on task operation mapping. In embodiments, a method includes abstracting test cases for a software patch into a sequence of task operations and parameters associated with each task operation; encoding the task operations and the parameters associated with each task operation based on predetermined rules, thereby generating encoded task operations with unique identifiers assigned thereto and associated encoded parameters with numeric values assigned thereto; generating, using machine learning, a list of frequent operation items, based on the encoded task operations and the associated encoded parameters; generating, using clustering, clusters of parameters for each frequent operation item in the list of frequent operation items; and sending a software patch package including the list of frequent operation items, the clusters of parameters and the software patch to a remote server for distribution to one or more user devices.

Abstract: A vector analysis calculation-based arc crosstalk signal identification method. A new sampling circuit manner is proposed in the method, wherein a current signal is sampled on zero and live lines, and the signal is converted into two digital signals with a sampling rate of 200 MHz by means of a dual-channel ADC, and the digital signals are sent to a hardware digital signal processing unit. Five pass bands are selected to perform band-pass filtering on the two signals separately. Time-sharing processing and vector analysis are performed on the filtered signals, and the amplitude ratio and fluctuation characteristics of two resistor terminal voltages, as well as the phase difference between shunt resistor and inductor terminal voltage signals are extracted as crosstalk feature quantities. According to a zero-crossing signal, a system segments the feature quantities extracted by a hardware processing module and sends same to a neural network for classification and determination.

Abstract: A skid steer loader includes a chassis frame, a cab, a main beam, and a bucket. The chassis frame is assembled with a walking system to form a movable chassis of the skid steer loader, and a power system of the skid steer loader is assembled to a tail portion of the chassis frame. The cab is arranged on a front portion of the chassis frame in an. overturning manner, and the cab is horizontally placed on the chassis frame when a telescopic support rod is in a retracted state and overturns forward when the telescopic support rod is in an extended state. A tail end of the main beam is movably hinged to the tail portion of the chassis frame by a four-bar linkage mechanism, the bucket is assembled to a front end of the main beam.

Abstract: An AC/DC leakage detection method, which supports the detection of DC leakage and AC leakage. A DC leakage current and a low-frequency leakage current are measured by means of magnetic modulation technology, an AC signal is measured in the form of pure induction, and two detection modes are performed in a time-sharing manner. A collected leakage signal is converted into a digital signal through an AD converter. By means of the method of the present invention, the processing of a leakage signal is divided into three channels for respectively processing DC leakage, low-frequency AC leakage, and high-frequency AC leakage. The overall effective value of residual current is calculated by integrating results of DC detection and AC detection. The method of the present invention supports the detection of a suddenly increased current; and when there is a suddenly increased current, detection mode switching is performed by detecting the current sudden change of the current.

Abstract: Disclosed is an auto-induction regulatory system based on quorum sensing, comprising luxI, luxR and egfp, wherein, the promoter for controlling the expression of luxI and luxR is selected from PluxI, PBB or PJ23100; the promoter for controlling the expression of egfp is selected from PluxI, PluxI(T-38C) or PluxI(C-77T). Also disclosed are an application of the auto-induction regulatory system based on quorum sensing in the automatic regulation of expression of a target gene of engineered Escherichia coli, as well as an application thereof in the preparation of alginate lyase and esterase. Further disclosed are a recombinant expression vector and a recombinant engineered bacterium comprising the auto-induction regulatory system based on quorum sensing.

Abstract: An additive manufacturing apparatus includes a stage configured to hold a component. A radiant energy device is operable to generate and project radiant energy toward the stage. An actuator is configured to change a relative position of the stage relative to the radiant energy device. A feed module is configured to support a feed roll of a resin support upstream of the stage about a feed mandrel. A first control device is operably coupled with the feed mandrel. A take-up module is configured to support a take-up roll of the resin support downstream of the stage about a take-up mandrel. A second control device is operably coupled with the take-up mandrel. A computing system is operably coupled with one or more sensors. The computing system is configured to provide commands to at least one of the first control device or the second control device to respectively rotate the first control device or the second control device to obtain a target tension on the resin support.