Abstract: This application discloses a sensing method and apparatus, a terminal, and a network device, and pertains to the field of communication technologies. The sensing method in embodiments of this application includes: determining, by a terminal, a measurement quantity for a sensing signal; and performing, by the terminal, detection on the sensing signal and obtaining a measured value corresponding to the measurement quantity; where the sensing signal is sent by a first network device, and the first network device is a base station.

Abstract: The present disclosure provides a bainite geological drilling pipe, comprising the following chemical elements in percentage by mass: 0.14-0.22% of C, 0.2-0.55% of Si, 2.1-2.9% of Mn, 0.01-0.04% of Nb, 0.015-0.04% of Al, 0.001-0.005% of B, 0<N?0.007%, with the balance being Fe and inevitable impurities, wherein a content ratio of Al to N is Al/N?3. In addition, the present disclosure further provides a manufacturing method for the bainite geological drilling pipe, comprising the following steps: (1) performing smelting and casting on molten steel to obtain a pipe blank; (2) performing heating, piercing, continuous rolling and sizing on the pipe blank to obtain a pipe body; and (3) performing two-stage air cooling on the pipe body; in first-stage air cooling, performing air circular blowing cooling on the outer surface of the pipe body, the temperature before cooling is greater than or equal to Ar/3+50° C., the cooling rate is 5-15° C./s, and cooling to a temperature range from Bs-100° C. to Bs-50° C.

Abstract: Examples described herein relate to a central processing unit (CPU) that includes at least two cores, at least two caching agents (CAs), and circuitry to monitor a workload mapped to a CA of the at least two CAs and adjust the workload allocated to the CA to allocation among the CA and at least one other CA of the at least two CAs based on the monitored workload.

Abstract: In coarse memory training approaches, a multiple of a base timing interval is used to reduce the sampling time in a sweep sampling approach during memory training to determine the timing offset between a non-clock memory signal and a memory clock to ensure reliable memory operation at high frequencies. In a hierarchical memory training method, a coarse memory training step is employed to determine adjustable timing offsets where a memory captures the rising and falling edges of a non-clock memory signal and those adjustable timing offsets are used in a subsequent fine memory training step to refine the timing offsets where the memory captures the rising and falling edges of the non-clock memory signal. The hierarchical approach can determine timing offsets for non-clock memory signals with the accuracy of existing (non-coarse, non-hierarchical) memory training methods in less time than the existing methods.

Abstract: Systems, methods, and computer media for managing frequency response in a power grid are provided herein. Individual grid-connected electrical devices can be turned on and/or off by corresponding frequency-responsive load controllers when frequency deviations beyond a threshold are detected. Each controller selects, for the corresponding electrical device, a frequency threshold from available frequencies in a frequency range. If the selected frequency falls within a deadband frequency range, then the controller sets the frequency threshold to a frequency outside of the deadband (e.g., to a closest available frequency outside of the deadband). On a system-wide level, this approximates a uniform distribution of frequency thresholds over the entire frequency range, including the deadband, and achieves the proper power-to-frequency relationship for grid stability.

Abstract: Systems, methods, and computer media for managing frequency response in a power grid are provided herein. Individual grid-connected electrical devices can be turned on and/or off by corresponding frequency-responsive load controllers when frequency deviations beyond a threshold are detected. Each controller selects, for the corresponding electrical device, a frequency threshold from available frequencies in a frequency range. If the selected frequency falls within a deadband frequency range, then the controller sets the frequency threshold to a frequency outside of the deadband (e.g., to a closest available frequency outside of the deadband). On a system-wide level, this approximates a uniform distribution of frequency thresholds over the entire frequency range, including the deadband, and achieves the proper power-to-frequency relationship for grid stability.