Abstract: The present disclosure relates to a micron silver particle-reinforced 316L stainless steel matrix composite, including a 316L stainless steel matrix and silver particles uniformly distributed in the 316L stainless steel matrix. The silver particles have a weight 1% to 5% of the total weight of the composite; and the composite has a density of 7.9 g/cm3 to 8.2 g/cm3 and a relative density of more than 98%. The composite is prepared by the following method: mixing raw materials of a spherical silver powder and a spherical 316L stainless steel powder; subjecting a resulting mixture to mechanical ball milling to obtain a mixed powder; sieving the mixed powder and adding a resulting powder to a powder cylinder of an SLM forming machine; and charging an inert protective gas for printing to obtain the composite.

Abstract: Embodiments of the present disclosure provide a datum selection method for minimizing hole position errors in group hole machining of large components, comprising: 1) determining a type of a computer numerical control (CNC) machine tool and establishing a topological structure of the CNC machine tool; 2) establishing a theoretical postural model of a tool center point during a motion; 3) establishing a hole position error model; 4) establishing an average error model of hole positions in group hole machining; and 5) obtaining a machining datum for group holes of corresponding components. For the skeleton and skinned group hole machining of aircraft components, different principles of datum selection are provided respectively, which can effectively improve the positional accuracy of the skeleton or skinned group hole machining, at the same time provides a more scientific and reasonable approach for the datum selection in group hole machining of large components.

Abstract: The present invention provides an elevator emergency operation device, comprising a box having an opening, an operation board, and a middle board. The operation board is provided with electronic devices thereon, and the face of the operation board provided with electronic devices is perpendicular to the plane on which the opening is located. Moreover, the operation board can be disposed inside the box in a manner that it can be pulled through the opening. The middle board is fixed, via a first side thereof, to the operation board, and the middle board is parallel to the plane on which the opening is located. An electric motor operation device, and an elevator apparatus comprising said electric motor emergency operation device or elevator operation device are further provided.

Abstract: A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.

Abstract: A system for identifying arrhythmias based on cardiac waveforms includes a storage system storing a trained deep neural network system, wherein the trained deep neural system includes a trained representation neural network and a trained classifier neural network. A processing system is communicatively connected to the storage system and configured to receive cardiac waveform data for a patient, identify a time segment in the cardiac waveform data, and transform the time segment into a spectrum image. The processing system is further configured to generate, with the representation neural network, a latent representation from the spectrum image, and then to generate, with the classifier neural network, an arrhythmia classifier from the latent representation.

Abstract: The present invention provides an elevator emergency operation device, comprising a box having an opening, an operation board, and a middle board. The operation board is provided with electronic devices thereon, and the face of the operation board provided with electronic devices is perpendicular to the plane on which the opening is located. Moreover, the operation board can be disposed inside the box in a manner that it can be pulled through the opening. The middle board is fixed, via a first side thereof, to the operation board, and the middle board is parallel to the plane on which the opening is located. An electric motor operation device, and an elevator apparatus comprising said electric motor emergency operation device or elevator operation device are further provided.