Abstract: A student performance prediction method, apparatus, electronic device, and computer-readable storage medium, wherein the student performance prediction method includes: obtaining learning behavior data corresponding to different target behaviors among multiple behavior categories of a student within a preset time period; and aggregating the learning behavior data corresponding to the different target behaviors in a preset time unit, and performing feature fusion on the aggregated data separately for each behavior category to obtain a category feature set, determining the multiple category feature sets organized in chronological order as a category feature time series set, inputting the category feature time series set into a pre-trained feature reconstruction network to obtain a reconstructed time series set, and inputting the reconstructed time series set into a student performance prediction model to obtain a performance prediction result for the student.

Abstract: A deep learning-based method for predicting thinking ability includes: obtaining a practice text set already completed by a user; inputting the exercise text set into an exercise classification model to obtain corresponding exercise categories for each exercise text in the exercise text set; mapping an exercise result set corresponding to the exercise text set to the exercise categories corresponding to each exercise text in the exercise text set, so as to obtain a correspondence set between the exercise categories and the exercise results; constructing an input vector based on the correspondence set between the exercise categories and the exercise results; and inputting the input vector into a thinking ability prediction model to obtain the user's thinking ability prediction result. A thinking ability prediction apparatus, device, and non-transitory computer-readable storage medium based on deep learning are also provided.

Abstract: The present invention discloses construction method and system of a descriptive model of classroom teaching behavior events. The construction method includes steps as the followings: acquiring classroom teaching video data to be trained; dividing the classroom teaching video data to be trained into multiple events according to utterances of a teacher by using a voice activity detection technology; and performing multi-modal recognition on all events by using multiple artificial intelligence technologies to divide the events into sub-events in multiple dimensions, establishing an event descriptive model according to the sub-events, and describing various teaching behavior events of the teacher in a classroom. The present invention divides a classroom video according to voice, which can ensure the completeness of the teacher's non-verbal behavior in each event to the greatest extent.

Abstract: A large-width cathode roller for producing high-strength ultra-thin copper foil includes titanium side plates and a titanium cylinder sealed by the titanium side plates, and a cathode roller core penetrated through the titanium side plates. Steel-copper explosive clad cylinders and a steel support plate are disposed in/on the side plate, inner ring surfaces of the side plates and the copper plates are connected to a copper sleeve around the cathode roller core, outer ring surfaces of the copper plates and the steel support plates are connected to a copper cylinder, inner ring surfaces of the steel support plates are connected to the cathode roller core; and multiple electrically conductive support rings on the copper cylinder are connected to the copper plates on two sides through the electrically conductive copper bars to form a conducting loop to improve the distribution uniformity of the current on the surface of the cathode roller.

Abstract: The present invention discloses construction method and system of a descriptive model of classroom teaching behavior events. The construction method includes steps as the followings: acquiring classroom teaching video data to be trained; dividing the classroom teaching video data to be trained into multiple events according to utterances of a teacher by using a voice activity detection technology; and performing multi-modal recognition on all events by using multiple artificial intelligence technologies to divide the events into sub-events in multiple dimensions, establishing an event descriptive model according to the sub-events, and describing various teaching behavior events of the teacher in a classroom. The present invention divides a classroom video according to voice, which can ensure the completeness of the teacher's non-verbal behavior in each event to the greatest extent.

Abstract: A hot-spinning formation method for large-diameter titanium alloy cylindrical parts. A workblank is placed in a resistance furnace to heated to 600-650° C., is maintained at this temperature for 0.5-1 h and is then taken out of the resistance furnace; after the workblank is heated, the inner diameter of the workblank becomes larger; the heated workblank is installed on a mandrel, and spinning is started when a maximum clearance between the workblank and the mandrel is less than 0.5 mm; the mandrel and the spinning rollers do not need to be preheated, and a multi-pass spinning process is adopted, such that the workblank can deform more uniformly. A vertical spinning lathe is used for spinning, the mandrel is easy to change, and the workblank is easy to assemble and disassemble.

Abstract: A large-width cathode roller for producing high-strength ultra-thin copper foil includes titanium side plates and a titanium cylinder sealed by the titanium side plates, and a cathode roller core penetrated through the titanium side plates. Steel-copper explosive clad cylinders and a steel support plate are disposed in/on the side plate, inner ring surfaces of the side plates and the copper plates are connected to a copper sleeve around the cathode roller core, outer ring surfaces of the copper plates and the steel support plates are connected to a copper cylinder, inner ring surfaces of the steel support plates are connected to the cathode roller core; and multiple electrically conductive support rings on the copper cylinder are connected to the copper plates on two sides through the electrically conductive copper bars to form a conducting loop to improve the distribution uniformity of the current on the surface of the cathode roller.

Abstract: A hot-spinning formation method for large-diameter titanium alloy cylindrical parts. A workblank is placed in a resistance furnace to heated to 600-650° C., is maintained at this temperature for 0.5-1 h and is then taken out of the resistance furnace; after the workblank is heated, the inner diameter of the workblank becomes larger; the heated workblank is installed on a mandrel, and spinning is started when a maximum clearance between the workblank and the mandrel is less than 0.5 mm; the mandrel and the spinning rollers do not need to be preheated, and a multi-pass spinning process is adopted, such that the workblank can deform more uniformly. A vertical spinning lathe is used for spinning, the mandrel is easy to change, and the workblank is easy to assemble and disassemble.

Abstract: The disclosure discloses a fingerprint positioning method in a smart classroom, which is specifically: firstly, performing Gaussian filtering and taking the average value on a wireless signal strength value RSSI in the fingerprint database; then finding the neighbor point closest to the signal strength of the to-be-measured point; finally, the Euclidean distance is used as the weight reference, and the weighted center of mass is obtained for the nearest neighbor points. The weight index is introduced as an index of the weight, and the coordinates of the to-be-tested node are obtained. The disclosure has a higher positioning accuracy, smaller positioning error fluctuations and greater environmental adaptability.

Abstract: The disclosure discloses a fingerprint positioning method in a smart classroom, which is specifically: firstly, performing Gaussian filtering and taking the average value on a wireless signal strength value RSSI in the fingerprint database; then finding the neighbor point closest to the signal strength of the to-be-measured point; finally, the Euclidean distance is used as the weight reference, and the weighted center of mass is obtained for the nearest neighbor points. The weight index is introduced as an index of the weight, and the coordinates of the to-be-tested node are obtained. The disclosure has a higher positioning accuracy, smaller positioning error fluctuations and greater environmental adaptability.