Abstract: The present invention belongs to the technical field of luggage cases and relates to a luggage case capable of changing into a travel carrier, including: an electric vehicle assembly, where the electric vehicle assembly includes a manipulation handle and a chassis with a front wheel and a rear wheel, the chassis includes a fixed portion and a telescopic portion, a driving member configured to drive the telescopic portion to extend forward is disposed in the fixed portion, and the manipulation handle is mounted on the telescopic portion to be configured to manipulate the front wheel to rotate; and a storage case, where the storage case is fixedly mounted on the fixed portion of the chassis and is used as a seat in a riding mode.

Abstract: A method of locating a temperature anomalies of a distributed optical fiber includes the steps of: (a) generating a training dataset having training samples; (b) setting labels for training samples; (c) building a convolutional neural network composed of multi-layer convolutional networks and a fully connected layer, training to form a convolutional neural network model; (d) utilizing a fiber-optic temperature sensing system for measurement of testing object; (e) sending acquired data into the convolutional neural network model to obtain output features, then processing mapping and binarization; (f) offsetting the binary feature to obtain an offset feature and calculating a cosine similarity; and (g) obtaining a location of the abnormal temperature event by identifying the offset feature with a largest cosine similarity and identifying its location in the sequence P.

Abstract: A method of enhancing an abnormal area of a ground-penetrating radar image based on hybrid-supervised learning includes the steps of: building a database including a real image set, a simulation image set and a simulation image label set; adopting a generative adversarial network; processing semi-supervised training and unsupervised training alternately to obtain a trained model, then inputting a real radar image with abnormal area that needs to be enhanced into the model and processing through the generative network to output an abnormal-area-enhanced image.

Abstract: A method of enhancing an abnormal area of a ground-penetrating radar image based on hybrid-supervised learning includes the steps of: building a database including a real image set, a simulation image set and a simulation image label set; adopting a generative adversarial network; processing semi-supervised training and unsupervised training alternately to obtain a trained model, then inputting a real radar image with abnormal area that needs to be enhanced into the model and processing through the generative network to output an abnormal-area-enhanced image.

Abstract: A packaging structure and fabrication method thereof are provided. The method includes: providing semiconductor chips including soldering pads and metal bumps; providing a base plate, wiring structures, input terminals, and output terminals; mounting the semiconductor chips on the front surface of the base plate inversely, such that each metal bump is connected to a corresponding input terminal; forming a bottom filling layer between a functional surface of each semiconductor chip and the front surface of the base plate; forming a first shielding layer covering a non-functional surface and sidewalls of each semiconductor chip, and covering sidewalls of a corresponding bottom filling layer; forming a second shielding layer on each first shielding layer; forming a plastic encapsulation layer on second shielding layers and on a portion of the base plate between semiconductor chips; and forming external contact structures connected to the output terminals.

Abstract: A method of locating a temperature anomalies of a distributed optical fiber includes the steps of: (a) generating a training dataset having training samples; (b) setting labels for training samples; (c) building a convolutional neural network composed of multi-layer convolutional networks and a fully connected layer, training to form a convolutional neural network model; (d) utilizing a fiber-optic temperature sensing system for measurement of testing object; (e) sending acquired data into the convolutional neural network model to obtain output features, then processing mapping and binarization; (f) offsetting the binary feature to obtain an offset feature and calculating a cosine similarity; and (g) obtaining a location of the abnormal temperature event by identifying the offset feature with a largest cosine similarity and identifying its location in the sequence P.

Abstract: The present disclosure belongs to the field of petroleum engineering, and specifically relates to a subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network. The subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network includes three steps: digital twin model establishment, degradation process re-prediction model establishment, and remaining useful life calculation model establishment.

Abstract: A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Abstract: The present disclosure belongs to the field of petroleum engineering, and specifically relates to a subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network. The subsea Christmas tree re-prediction method integrating Kalman filter and Bayesian network includes three steps: digital twin model establishment, degradation process re-prediction model establishment, and remaining useful life calculation model establishment.

Abstract: A packaging structure and fabrication method thereof are provided. The method includes: providing semiconductor chips including soldering pads and metal bumps; providing a base plate, wiring structures, input terminals, and output terminals; mounting the semiconductor chips on the front surface of the base plate inversely, such that each metal bump is connected to a corresponding input terminal; forming a bottom filling layer between a functional surface of each semiconductor chip and the front surface of the base plate; forming a first shielding layer covering a non-functional surface and sidewalls of each semiconductor chip, and covering sidewalls of a corresponding bottom filling layer; forming a second shielding layer on each first shielding layer; forming a plastic encapsulation layer on second shielding layers and on a portion of the base plate between semiconductor chips; and forming external contact structures connected to the output terminals.

Abstract: An array substrate, a display, and a manufacturing method are provided. The array substrate is provided with a first notch on at least one of two sides in a width direction of the second fan-out line, wherein a portion of the insulating layer fills into the first notch in a direction towards the second fan-out line to form a recess part corresponding to the first notch, the recess part defining a groove. A protruding part is provided on at least one of two sides in a width direction of the first fan-out line, where a part of the protruding part fills into the groove in a direction towards the insulation layer to form a protrusion corresponding to the groove.

Abstract: An array substrate, a display, and a manufacturing method are provided. The array substrate is provided with a first notch on at least one of two sides in a width direction of the second fan-out line, wherein a portion of the insulating layer fills into the first notch in a direction towards the second fan-out line to form a recess part corresponding to the first notch, the recess part defining a groove. A protruding part is provided on at least one of two sides in a width direction of the first fan-out line, where a part of the protruding part fills into the groove in a direction towards the insulation layer to form a protrusion corresponding to the groove.

Abstract: A prediction method of part surface roughness and tool wear based on multi-task learning belong to the file of machining technology. Firstly, the vibration signals in the machining process are collected; next, the part surface roughness and tool wear are measured, and the measured results are corresponding to the vibration signals respectively; secondly, the samples are expanded, the features are extracted and normalized; then, a multi-task prediction model based on deep belief networks (DBN) is constructed, and the part surface roughness and tool wear are taken as the output of the model, and the features are extracted as the input to establish the multi-task DBN prediction model; finally, the vibration signals are input into the multi-task prediction model to predict the surface roughness and tool wear.

Abstract: Disclosed is a pile leg walking type manganese nodule mining robot. The robot includes a body, a pile walking mechanism, a vector propulsive mechanism, a negative pressure suction mechanism and a manganese nodule cutter suction mechanism. The invention involves a stable and efficient deep-sea mining robot which can complete the mining task on the geological layer where the manganese nodule are located, and effectively protects the marine life and living environment in the deep-sea mining area. The existence environment of manganese nodule is also protected. After mining, the regeneration environment of living or other resources on the deep-sea floor will not be affected, thus greatly resolving the sharp contradiction between resource exploitation and environmental protection.

Abstract: A system-level packaging method includes providing a packaging substrate having a first functional surface and a second surface with wiring arrangement within the packaging substrate and between the first functional surface and the second surface. The method also includes forming at least two package layers on the first functional surface of the packaging substrate, wherein each package layer is formed by subsequently forming a mounting layer, a sealant layer, and a wiring layer. Further, the method includes forming a top sealant layer and planting connection balls on the second functional surface of the packaging substrate.

Abstract: An array substrate and a manufacturing method thereof, a display panel and a display device are provided. The array substrate includes: a base substrate; a plurality of gate lines, a plurality of data lines, and a plurality of common electrode lines on the base substrate; the plurality of common electrode lines and the plurality of gate lines are arranged at different layers; the plurality of common electrode lines and the plurality of data lines are arranged at a same layer and parallel to each other; the plurality of gate lines are insulated from and intersected with the plurality of data lines and the plurality of common electrode lines to define a plurality of sub-pixel units.

Abstract: A water pumping and injecting multi-layered concentric sphere neutron spectrometer includes a neutron detector, a plurality of shells concentrically provided, and a water pumping and injecting device; wherein an innermost shell surrounds a surface of the neutron detector; gaps are formed between adjacent shells for containing liquid; the shells are made of an aluminum material; a valve is arranged on each of the shells except the innermost shell; the water pumping and injecting device is connected to the valve of each of the shells except the innermost shell, so as to input water into the gaps or output the water from the gaps. Compared with conventional neutron spectrometer, weight of the water pumping and injecting multi-layered concentric sphere device and the neutron spectrum detection system of the present invention is greatly reduced, which is conducive to transportation and utilization. Meanwhile, combination of neutron spectrum data measurement and measurement data are increased.

Abstract: An array substrate and a manufacturing method thereof, a display panel and a display device are provided. The array substrate includes: a base substrate; a plurality of gate lines, a plurality of data lines, and a plurality of common electrode lines on the base substrate; the plurality of common electrode lines and the plurality of gate lines are arranged at different layers; the plurality of common electrode lines and the plurality of data lines are arranged at a same layer and parallel to each other; the plurality of gate lines are insulated from and intersected with the plurality of data lines and the plurality of common electrode lines to define a plurality of sub-pixel units.

Abstract: A water pumping and injecting multi-layered concentric sphere neutron spectrometer includes a neutron detector, a plurality of shells concentrically provided, and a water pumping and injecting device; wherein an innermost shell surrounds a surface of the neutron detector; gaps are formed between adjacent shells for containing liquid; the shells are made of an aluminum material; a valve is arranged on each of the shells except the innermost shell; the water pumping and injecting device is connected to the valve of each of the shells except the innermost shell, so as to input water into the gaps or output the water from the gaps. Compared with conventional neutron spectrometer, weight of the water pumping and injecting multi-layered concentric sphere device and the neutron spectrum detection system of the present invention is greatly reduced, which is conducive to transportation and utilization. Meanwhile, combination of neutron spectrum data measurement and measurement data are increased.