Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving performance data associated with records, identify whether the received performance data is associated with long transactions. Embodiments of the present invention can then, in response to determining that the received performance data is associated with long transactions, storing the performance data. Embodiments of the present invention can then classify the stored performance data according to types of transactions the performance data and aggregate the stored performance data based on the classification.

Abstract: A bidirectional transmission circuit for a universal signal, comprising an intrinsically safe energy limiting module, a first signal coupling module, an isolation transformer module, a second signal coupling module and a control module; the first signal coupling module adjusts a first direct current signal of a universal signal to a first alternating current signal, the isolation transformer module transmits the first alternating current signal to the second signal coupling module in an isolation manner, and the second signal coupling module adjusts the first alternating current signal to a second direct current signal to a universal signal receiving terminal; the second signal coupling module further adjusts a third direct current signal of a control signal to a second alternating current signal, and the first signal coupling module further adjusts the second alternating current signal to a fourth direct current signal to a control signal receiving terminal.

Abstract: A fully-automatic aluminum thermal-spraying corrosion prevention production line based on robots and visual recognition is provided. The production line comprises an automatic feeding system comprising feeding carrying and conveying mechanisms; a laser derusting system comprising a derusting robot, a laser cleaning nozzle and derusting conveying mechanisms; an aluminum thermal-spraying system comprising an aluminum spraying robot and an aluminum thermal-spraying gun; an automatic rolling system comprising a rolling pedestal, a first rolling wheel, a second rolling wheel and a rolling drive mechanism; a laser cutting system; and a discharging and stacking system.

Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can, in response to receiving performance data associated with records, identify whether the received performance data is associated with long transactions. Embodiments of the present invention can then, in response to determining that the received performance data is associated with long transactions, storing the performance data. Embodiments of the present invention can then classify the stored performance data according to types of transactions the performance data and aggregate the stored performance data based on the classification.

Abstract: A digital-to-analog conversion device and method are provided. The control module is configured to split the input digital signal into n intermediate digital portions, divide the n intermediate digital portions by the corresponding conversion coefficients to obtain n intermediate digital signals and transmit the n intermediate digital signals to the n conversion modules. The n intermediate digital portions increase progressively. The conversion module is configured to perform digital-to-analog conversion on an intermediate digital signal to obtain a result including the conversion coefficient of the conversion module. The adder is configured to add output signals of the n conversion modules to obtain an analog signal. The feedback module is configured to obtain a feedback signal according to the analog signal. The control module is further configured to adjust the allocation of the n intermediate digital portions according to a target digital signal and the feedback signal.

Abstract: A digital-to-analog conversion device and method are provided. The control module is configured to split the input digital signal into n intermediate digital portions, divide the n intermediate digital portions by the corresponding conversion coefficients to obtain n intermediate digital signals and transmit the n intermediate digital signals to the n conversion modules. The n intermediate digital portions increase progressively. The conversion module is configured to perform digital-to-analog conversion on an intermediate digital signal to obtain a result including the conversion coefficient of the conversion module. The adder is configured to add output signals of the n conversion modules to obtain an analog signal. The feedback module is configured to obtain a feedback signal according to the analog signal. The control module is further configured to adjust the allocation of the n intermediate digital portions according to a target digital signal and the feedback signal.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.

Abstract: Detecting a first facial region in a first image. Extracting the detected first facial region. Generating a first facial thumbnail based on the extracted first facial region for use in representing the first image.