Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media for performing preflight checks of a distributed computing system, are described. In one aspect, a method includes assigning a computing workload to a first subset of hardware accelerator machines each having one or more hardware accelerators. A preflight check on the first subset is performed before performing the computing workload to verify the functionality of each machine in the first subset. For each hardware accelerator machine of the first subset, a program code package is installed, including a task action based at least in part on characteristics of the computing workload. The task action including a sequence of operations is performed on the hardware accelerator machine to determine whether the task action fails. Whenever the task action fails, the computing workload is re-assigned to a second subset of hardware accelerator machines different from the first subset.

Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Abstract: A whole-process automatic soil tabletting machine is provided. The machine includes a device body. A tabletting platform is arranged at a bottom of the device body, a first station on which a heating device is arranged, second and third stations are arranged on the tabletting platform. A top plate is arranged at a top of the device body. A soil crushing cutter and a punch head are installed on the top plate. The soil crushing cutter and the punch head are arranged above the first and second stations respectively. The tabletting platform is installed with a groove disc where sample preparation grooves and a cleaning groove are formed. The sample preparation grooves and the cleaning groove correspond to the first station, the second station or the third station. The cleaning groove and each sample preparation groove are for placing a cleaning container and a soil sample container, respectively.

Abstract: Disclosed herein are related to systems and methods for wireless communication. In one aspect, a system includes a first wireless interface configured to communicate at a first frequency band and a second frequency band. In one aspect, the system includes a second wireless interface configured to communicate at a third frequency band and a fourth frequency band. In one aspect, the system includes a switch configured to select either communication at the second frequency band or the third frequency band. In one aspect, the system includes a multi-band filter configured to couple i) the first wireless interface, ii) the second wireless interface, and iii) the switch, to a single antenna.

Abstract: This application provides a network fault locating method and apparatus in an IP network. In this solution, a router automatically reports status information, and a controller determines, based on the status information, whether a communication path is faulty. If a fault exists, the controller may indicate a router on the communication path to perform fault locating. The fault locating can be completed without waiting for manual intervention, so that operation and maintenance efficiency in the IP network is improved. After completing the fault locating, the router reports location information of a fault point to the controller, and the controller may perform troubleshooting at the fault point, so that the fault can be quickly rectified.

Abstract: A voter-based method of controlling a redundancy is provided, including acquiring a processing element array in a target hardware, wherein the processing element array includes a plurality of processing elements, selecting a plurality of groups of processing elements from the processing element array so as to generate a voter set, wherein a corresponding voter is generated for each group of the plurality of groups of processing elements, and the corresponding voter configured to perform a voting operation in a redundancy control, acquiring, in response to a message indicating a fault state of a detected voter, a target voter from the voter set so as to replace the detected voter, and re-performing the voting operation in the redundancy control by using the target voter. An electronic device and a storage medium are further provided, which are implemented based on the processing element array of the target hardware.

Abstract: A flexible printed circuit board includes a coil for near-field communication (NFC) and circuit components for performing other functions such as driving a display panel. By integrating the NFC coil into the flexible printed circuit board, the number of components in an electronic device may be reduced. A ferrite sheet is provided below the NFC coil to enhance the performance of NFC signal reception and transmission. A conductive layer is provided below the ferrite sheet to prevent interference with circuits on a printed circuit board below the flexible printed circuit board.

Abstract: An artificial-reality system comprising (1) a wearable dimensioned to be donned on a body part of a user, wherein the wearable comprises (A) a set of electrodes that detect one or more neuromuscular signals via the body part of the user and (B) a transmitter that transmits an electromagnetic signal, (2) a head-mounted display communicatively coupled to the wearable, wherein the head-mounted display comprises a set of receivers that receive the electromagnetic signal, and (3) one or more processing devices that (1) determine, based at least in part on the neuromuscular signals, that the user has made a specific gesture and (2) determine, based at least in part on the electromagnetic signal, a position of the body part of the user when the user made the specific gesture. Various other apparatuses, systems, and methods are also disclosed.

Abstract: The disclosure belongs to the field of biotechnology, and in particular to a blocking ELISA kit for detecting an antibody to swine acute diarrhea syndrome coronavirus (SADS-CoV) N protein. The kit includes an enzyme plate coated with SADS-CoV N protein, an HRP-labeled mouse anti-SADS-CoV N protein monoclonal antibody (mAb), a positive serum control, and a negative serum control. The kit may detect positive sera diluted at 1:512, with no cross-reaction with positive sera against porcine epidemic diarrhea virus (PEDV), transmissible gasteroenteritis virus (TGEV) and porcine deltacoronavinis (PDCoV) etc., and the intrabatch and interbatch coefficient of variation is less than 10%. The comparison result with the indirect immunofluorescence test shows that the concordance rate of the blocking ELISA kit of the present disclosure is 99.6%, the Kappa value is 0.91, and the blocking ELISA method established by the present disclosure is highly consistent with IFA.

Abstract: A voter-based method of controlling a redundancy is provided, including acquiring a processing element array in a target hardware, wherein the processing element array includes a plurality of processing elements, selecting a plurality of groups of processing elements from the processing element array so as to generate a voter set, wherein a corresponding voter is generated for each group of the plurality of groups of processing elements, and the corresponding voter configured to perform a voting operation in a redundancy control, acquiring, in response to a message indicating a fault state of a detected voter, a target voter from the voter set so as to replace the detected voter, and re-performing the voting operation in the redundancy control by using the target voter. An electronic device and a storage medium are further provided, which are implemented based on the processing element array of the target hardware.

Abstract: An artificial-reality system comprising (1) a wearable dimensioned to be donned on a body part of a user, wherein the wearable comprises (A) a set of electrodes that detect one or more neuromuscular signals via the body part of the user and (B) a transmitter that transmits an electromagnetic signal, (2) a head-mounted display communicatively coupled to the wearable, wherein the head-mounted display comprises a set of receivers that receive the electromagnetic signal, and (3) one or more processing devices that (1) determine, based at least in part on the neuromuscular signals, that the user has made a specific gesture and (2) determine, based at least in part on the electromagnetic signal, a position of the body part of the user when the user made the specific gesture. Various other apparatuses, systems, and methods are also disclosed.

Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Abstract: An artificial-reality system comprising (1) a wearable dimensioned to be donned on a body part of a user, wherein the wearable comprises (A) a set of electrodes that detect one or more neuromuscular signals via the body part of the user and (B) a transmitter that transmits an electromagnetic signal, (2) a head-mounted display communicatively coupled to the wearable, wherein the head-mounted display comprises a set of receivers that receive the electromagnetic signal, and (3) one or more processing devices that (1) determine, based at least in part on the neuromuscular signals, that the user has made a specific gesture and (2) determine, based at least in part on the electromagnetic signal, a position of the body part of the user when the user made the specific gesture. Various other apparatuses, systems, and methods are also disclosed.

Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Abstract: A method for state estimation of a distribution network comprises: (a) obtaining measurements from phasor measurement units (PMUs) placed at buses in the distribution network; (b) constructing a quotient gradient system (QGS) based on a constraint set H that relates the measurements to state variables of the distribution network; (c) integrating the QGS to reach a steady state; (d) identifying one or more of the state variables whose measurement residuals violate a measurement residual constraint in the constraint set H; (e) integrating a reconstructed QGS, which is reconstructed based on the constraint set H by setting the identified one or more state variables to values of corresponding PMU measurements; (f) iterating steps of (d) and (e) until no measurement residuals violate the measurement residual constraint, to thereby obtain the state estimation; and (g) reporting the state estimation to a control system during real-time monitoring of the distribution network.

Abstract: This application provides a network fault locating method and apparatus in an IP network. In this solution, a router automatically reports status information, and a controller determines, based on the status information, whether a communication path is faulty. If a fault exists, the controller may indicate a router on the communication path to perform fault locating. The fault locating can be completed without waiting for manual intervention, so that operation and maintenance efficiency in the IP network is improved. After completing the fault locating, the router reports location information of a fault point to the controller, and the controller may perform troubleshooting at the fault point, so that the fault can be quickly rectified.

Abstract: Disclosed in some examples are methods, systems, and machine-readable mediums which determine jitter buffer delay by inputting jitter buffer and currently observed network status information to a machine learned model that is trained using a reinforcement learning (RL) method. The model maps these inputs to an action to compress, stretch, or hold the jitter buffer delay, which is used by a recipient computing device to optimize the jitter buffer delay. The model may be trained using a simulator that uses network traces of past real streaming sessions (e.g., communication sessions) of users. By training the model through reinforcement learning, the model learns to make better decisions through reinforcement in the form of reward signals that reflect the performance of each decision.

Abstract: A method for state estimation of a distribution network comprises: (a) obtaining measurements from phasor measurement units (PMUs) placed at buses in the distribution network; (b) constructing a quotient gradient system (QGS) based on a constraint set H that relates the measurements to state variables of the distribution network; (c) integrating the QGS to reach a steady state; (d) identifying one or more of the state variables whose measurement residuals violate a measurement residual constraint in the constraint set H; (e) integrating a reconstructed QGS, which is reconstructed based on the constraint set H by setting the identified one or more state variables to values of corresponding PMU measurements; (f) iterating steps of (d) and (e) until no measurement residuals violate the measurement residual constraint, to thereby obtain the state estimation; and (g) reporting the state estimation to a control system during real-time monitoring of the distribution network.

Abstract: The present invention discloses a micro-grid distributed energy resource bidding method based on artificial immunity including the following steps: processing the collected information by a bidding unit agent to form artificial immune antigen of quotation environmental; performing solving based on artificial immune algorithm to obtain antibody meeting the interest of a distributed energy resource; and decoding the antibody to obtain a bidding scheme of the distributed energy resource. The present invention utilizes artificial immune intelligent algorithm with strong ability of information processing and self-adaption, thus solving the problem of uncontrollable bidding under complicated environment. Uncertainty problem resulted by the intermittent power supply is overcomed by the capability of self-adaption and defect tolerance of artificial immunity during bidding process. In addition, the coordination of entire micro-grid MAS is improves by coordinated evolution of artificial immunity.

Abstract: The present invention discloses an optimized operation method in micro-grid with multi-agent structure, which comprises the following steps: the main grid obtains the electricity market purchase price Pbuy which is to be sold to the user and DER selling price Psell at next stage after connected to the main grid; the DERs perform calculation of the optimized operation in the micro-grid based on bidding; the DERs of the micro-grid adopt bidding unit for quotation; and the bidding management Agent assists in completing the coordination and optimization of the units in the micro-grid; the bidding management multi-agent transmits the bidding results of each unit to the control system of the micro-grid, and the micro-grid performs optimized operation in micro-grid based on the coordinated bidding results.