Abstract: A display device and a control method therefor are disclosed. The display device includes: a first backlight module; a second backlight module located at a light emergent side of the first backlight module; and a display panel located at a side of the second backlight module facing away from the first backlight module; where the first backlight module includes a first light board, and the first light board emits light to a side of the second backlight module; the second backlight module includes at least one second light board, second light boards of the at least one second light board are stacked, and the second light boards transmit the light emitted by the first backlight module and emit light to the display panel; the first light board includes a plurality of first light sources, each second light board of the second light boards includes a plurality of second light sources.

Abstract: A method for determining rock microscopic physical parameters and an apparatus may determine, based on the acquired macroscopic physical parameters and capillary pressure curve experimental data of a rock, a volume and a saturation of a nonwetting phase fluid injected into different pore throat distribution intervals, and calculate microscopic physical parameters of the rock, through which the properties of the rock, such as a pore structure, storage, seepage and the like can be depicted, thereby facilitating evaluation of hydrocarbon occurrences of a reservoir and formulation of a reasonable hydrocarbon field development strategy.

Abstract: A display device and a control method therefor are disclosed. The display device includes: a first backlight module; a second backlight module located at a light emergent side of the first backlight module; and a display panel located at a side of the second backlight module facing away from the first backlight module; where the first backlight module includes a first light board, and the first light board emits light to a side of the second backlight module; the second backlight module includes at least one second light board, second light boards of the at least one second light board are stacked, and the second light boards transmit the light emitted by the first backlight module and emit light to the display panel; the first light board includes a plurality of first light sources, each second light board of the second light boards includes a plurality of second light sources.

Abstract: Systems and methods for predicting fatigue crack growth are provided. In one example embodiment, a method can include obtaining historical operational data associated with one or more rotatable structures of one or more machines, obtaining data indicative of fatigue crack size for the one or more rotatable structures, and constructing a machine-learned model correlating fatigue crack growth with operational data using a machine learning technique.

Abstract: The present disclosure relates to a curved conformal frequency selective surface (FSS) radome. The radome includes a dielectric radome and a curved conformal FSS array arranged on an outer wall of the dielectric radome, where the dielectric radome includes a dome, a circular truncated cone and a hollow cylinder which are integrally formed from top to bottom, and the curved conformal FSS array is formed by periodically arraying foldable FSS units on an outer surface of the dielectric radome, the foldable FSS unit being of an axially symmetrical and centrally symmetrical gap structure, and having an overall shape consisting of foldable gaps on a left side, an upper side, a right side and a lower side, the four foldable gaps being sequentially connected in a square shape, and remaining parts of the foldable FSS unit except for the four foldable gaps being all metal patches.

Abstract: Devices and methods of generating resonance excitation for an ion manipulation apparatus are provided. The ion manipulation apparatus can be operated as an ion filtration apparatus used with particle mass spectrometry system. The devices and methods can be capable of generating a resonance excitation to effect an ion filtration in a multipole apparatus. The resonance excitation is generated by mixing a radio frequency signal with a plurality of alternative current voltage signals having different frequencies. The resonance excitation can be added to at least one electrode of the multipole apparatus. The generation of mixed alternative current voltage signal is performed in a time domain, therefore no time-consuming inverse Fourier transform procedure is needed, which significantly improves an analysis speed and a throughput of the particle mass spectrometry system.

Abstract: The example embodiments are directed to a continuously expanding cross-domain featuring engineering system. In one example, a method may include one or more of storing predictive features in a cross-domain data store, the predictive features previously used in machine learning modeling in a plurality of different domains, receiving data of an asset included in a target domain and information about an evaluation attribute associated with the asset in the target domain, determining a predictive feature in the received data based on a previously used predictive feature stored in the cross-domain data store which is associated with a machine learning model in a different domain and the evaluation attribute, and outputting the determined predictive feature for display via a user interface.

Abstract: The present disclosure relates to a curved conformal frequency selective surface (FSS) radome. The radome includes a dielectric radome and a curved conformal FSS array arranged on an outer wall of the dielectric radome, where the dielectric radome includes a dome, a circular truncated cone and a hollow cylinder which are integrally formed from top to bottom, and the curved conformal FSS array is formed by periodically arraying foldable FSS units on an outer surface of the dielectric radome, the foldable FSS unit being of an axially symmetrical and centrally symmetrical gap structure, and having an overall shape consisting of foldable gaps on a left side, an upper side, a right side and a lower side, the four foldable gaps being sequentially connected in a square shape, and remaining parts of the foldable FSS unit except for the four foldable gaps being all metal patches.

Abstract: The example embodiments are directed to a continuously expanding cross-domain featuring engineering system. In one example, a method may include one or more of storing predictive features in a cross-domain data store, the predictive features previously used in machine learning modeling in a plurality of different domains, receiving data of an asset included in a target domain and information about an evaluation attribute associated with the asset in the target domain, determining a predictive feature in the received data based on a previously used predictive feature stored in the cross-domain data store which is associated with a machine learning model in a different domain and the evaluation attribute, and outputting the determined predictive feature for display via a user interface.

Abstract: Systems and methods for predicting usage based lifing and low cycle fatigue consumption are provided. In one example embodiment, a method can include obtaining historical flight data associated with one or more gas turbine engines of an aerial vehicle; obtaining data indicative of one or more operational conditions of the aerial vehicle during an operating period; determining whether the flight data is indicative of a usable flight; and constructing a model correlating low cycle fatigue consumption with flight data using a machine learning technique.

Abstract: Systems and methods for predicting usage based lifing and low cycle fatigue consumption are provided. In one example embodiment, a method can include obtaining historical flight data associated with one or more gas turbine engines of an aerial vehicle; obtaining data indicative of one or more operational conditions of the aerial vehicle during an operating period; determining whether the flight data is indicative of a usable flight; and constructing a model correlating low cycle fatigue consumption with flight data using a machine learning technique.

Abstract: Systems and methods for predicting fatigue crack growth are provided. In one example embodiment, a method can include obtaining historical operational data associated with one or more rotatable structures of one or more machines, obtaining data indicative of fatigue crack size for the one or more rotatable structures, and constructing a machine-learned model correlating fatigue crack growth with operational data using a machine learning technique.