Abstract: A tool-less quick assembly and disassembly device for a hard disk module, including a mounting rack, a hard disk accommodation cavity being provided on the mounting rack, a multilayer hard disk support structure being provided on the mounting rack inside the hard disk accommodation cavity, and a baffle being provided on the mounting rack at a position corresponding to each layer of the hard disk support structure, the baffle being provided at the end part of one end of the mounting rack, and the other end of the mounting rack being an opening end; elastic positioning mechanisms are provided on both sides of the mounting rack; elastic clamping mechanisms are provided at the bottom of the mounting rack. The invention can enable multiple hard disks to be completely assembled and disassembled without tools, has a simple structure, is easy to assemble and disassemble.

Abstract: An image classification method, a computer device, and a medium are disclosed. The method includes: acquiring a middle-level semantic feature of an image to be classified through a visual dictionary; and classifying the image to be classified according to the middle-level semantic feature of the image to be classified using a classification model based on middle-level semantic features.

Abstract: The present disclosure is directed to systems and methods for the creation of a localized audio message for use in a personal audio device. The system includes: a database of information relating to a pre-determined subject obtained from online media content; one or more processors; and a personal audio device configured to receive a localized audio message. The processors extract a dataset comprising information relating to a pre-determined subject from online media content; generate one or more summaries of the information relating to the pre-determined subject; generate a localized audio message based on the one or more summaries; and send the localized audio message to a personal audio device of a user.

Abstract: A wearable device, a signal processing method and a signal processing device are disclosed. The wearable device includes a processor and a signal collector electrically connected to the processor. The signal collector includes at least one electroencephalogram sensor configured to collect an electroencephalogram signal and at least one electrooculogram sensor configured to collect an electrooculogram signal. The processor is configured to generate a control signal based on the electroencephalogram signal and the electrooculogram signal, and the electroencephalogram sensor and the electrooculogram sensor are different sensors.

Abstract: A prediction method for an aero-engine starting exhaust temperature. A prediction model for the engine starting exhaust temperature is obtained by using a machine learning-based method and aero-engine ground test data. The model has high prediction accuracy and good generalization ability. The prediction result can be further used for engine control, etc., reducing the possibility of overheating of the engine. Compared with the traditional single parameter prediction, this contains more information because of using fusion prediction, so that prediction errors are reduced; and compared with the single prediction algorithm, this assembles weak learner by means of an AdaBoost. RT ensemble algorithm, so that the prediction errors are smaller.

Abstract: A gesture control method includes receiving first gesture control data. The gesture control method includes converting the first gesture control data into second gesture control data of a standard coordinate system. The gesture control method includes controlling the display screen according to the second gesture control data.

Abstract: A planetary wheel drive uses: main bushings affixed to a rotatable housing between a stationary spindle permitting the rotatable output housing to rotate with respect to the stationary spindle, and, planet bushings affixed to rotatable planet gear between a planet pin permitting the planet gear to rotate with respect to the planet pin. The main bushings have two sides, a first side which is press fit into the rotatable output housing and a second side which includes a sliding layer which mates with a surface of the stationary housing.

Abstract: The present invention belongs to the technical field of fault diagnosis of aero-engines, and provides a method for fault diagnosis of an aero-engine rolling bearing based on random forest of power spectrum entropy. Aiming at the above-mentioned defects existing in the prior art, a method for fault diagnosis of an aero-engine rolling bearing based on random forest is provided, wherein test measured data for an aero-engine rolling bearing provided by a research institute are used for establishing a training dataset and a test dataset first; and based on an idea of fault feature extraction, time domain statistical analysis and frequency domain analysis are conducted on original collection data by adopting wavelet analysis; thereby realizing effective fault diagnosis from the perspective of engineering application.

Abstract: A method for prediction of key performance parameters of an aero-engine transition state acceleration process based on space reconstruction. Aero-engine transition state acceleration process test data provided by a research institute is used for establishing a training dataset and a testing dataset; dimension increase is conducted on the datasets based on the data space reconstruction of an auto-encoder; model parameters optimization is conducted by population optimization algorithms which is represented by particle swarm algorithm; and random forest regression algorithm performing well on high-dimensional data is used for carrying out regression on transition state performance parameters, which realizes effective real-time prediction from the perspective of engineering application.

Abstract: A code completion tool uses machine learning models to more precisely predict the likelihood of the parameters of a method invocation. A score is computed for each candidate variable that is used to rank the viability of a variable as the intended parameter. The score is a weighted sum of a scope factor, an edit distance factor and a declaration proximity factor. The factors are based on a scope model, a method overload model, and a weight file trained offline on a training set of source code programs utilizing various method invocations.

Abstract: A magnetic suspension bogie, the bogie comprising a upper frame located at the upper portion, two lower frames located at the lower portion, a suspension device and a track sensing device, wherein the upper frame and the lower frames are hinged and connected by means of a connecting device. By means of using a bearing hinge structure to connect the upper frame and the lower frames, it is not necessary to specially provide a separate steering mechanism; thus, a plurality of functions are comprised, while the structure is at the same time simplified. The present invention also relates to is a magnetic suspension train.

Abstract: A method for prediction of key performance parameters of an aero-engine in transition condition. Bench test data for an aero-engine in transition condition provided by a research institute is used for establishing a training dataset and a testing dataset first; parameter combination is used for predicting and analyzing engine exhaust temperature based on the idea of information fusion; and the method of rolling windows is used for rolling learning in order to predict the parameters such as low pressure rotor speed and exhaust temperature of an engine from the perspective of practical engineering application.

Abstract: Various implementations include wearable audio devices having a spatialized virtual personal assistant (VPA). In other implementations, a method of controlling a wearable audio device having a spatialized VPA is disclosed. Other implementations include a method of generating a spatialized VPA in a wearable audio device.

Abstract: Petrographic data of a carbonate reservoir in a subterranean region is received. Mud content of the carbonate reservoir is determined based on the petrographic data. A depositional porosity of the carbonate reservoir is computed based on the mud content. An amount of cementation of the carbonate reservoir is determined. A porosity loss by compaction of the carbonate reservoir is determined based on the mud content and the amount of cementation of the carbonate reservoir. A post-compaction porosity of the carbonate reservoir is computed based on the depositional porosity, the mud content, the amount of cementation, and the porosity loss by compaction.

Abstract: A method, apparatus, and computer-readable medium for leveraging real-time sales volume for conducting group buys comprising initializing a sale of an item, the sale specifying a current price of the item which is calculated based on a current sales volume of the item and sales volume ranges, processing transactions with users for items at a purchase price equal to the current price when a purchase request is received from the corresponding user, terminating the sale of the item at a closing price when the current sales volume has reached a threshold or when a period of time has passed since the sale was initialized, and crediting accounts belonging to one or more users with an additional amount based at least in part on a difference between the closing price and the purchase price for each item for the corresponding user.

Abstract: Provided is a pile integrity detection system based on cross-hole sonic logging method. The operator sets the ultrasonic detector into the measuring tubes of the to-be-detected pile, subsequently inputs the project data and activate the ultrasonic detector, by an acoustic wave transmission among a transmitter and a receiver, a wave energy data of the to-be-detected pile can be obtained, and the wave energy data and a project data will be automatically transmitted to the cloud computing module, thereby the integrity level of the to-be-detected pile can be determined without any manual analysis to the wave energy data, preventing from any error or deflection due to manual operation, whereby it greatly improves the accuracy and efficiency of detection and reduces the error rate.

Abstract: An underwater launching apparatus for a small unmanned aerial vehicle capable of floating on water, having an airbag, inflating module, airbag arm, cylindrical body, upper baffle plate, spring, airbag arm connecting rod, lower baffle plate, upper buckle and lower buckle. This apparatus has compact and reliable structure. Relative to a traditional underwater catapult, the apparatus has smaller body and completes deployment and ejection of the launching apparatus by means of elasticity of the spring. The underwater launching apparatus for the small unmanned aerial vehicle has high stability and diversified applications. After the airbag arm of the catapult is deployed on the water and the inflating module inflates the airbag, developed area is larger and resistance to wind and waves is stronger. In a deployed state, a sensor on the unmanned aerial vehicle can be matched and steadily deployed on the water for investigation.

Abstract: An air, sea, land and underwater tilt tri-rotor UAV capable of performing vertical take-off and landing. By the method for controlling a submerged floating device and a tilt tri-rotor device, the UAV is switched among the vertical take-off and landing mode, fixed wing mode, water surface sailing mode and underwater submerging mode, thereby making same have the advantages of four kinds of UAVs, and enhancing the applicability, maneuverability and efficiency of UAV. This has high efficiency in power system, has obviously improved endurance time and flight distance as compared with the traditional multi rotor UAV because of having the fixed wing mode, is applicable to more scenarios, and may operate on flat land, mountain land, water surface and underwater, thereby completing designated missions such as aerial, ground, water surface and underwater investigation, survey and concealment.

Abstract: A tool-less quick assembly and disassembly device for a hard disk module, including a mounting rack, a hard disk accommodation cavity being provided on the mounting rack, a multilayer hard disk support structure being provided on the mounting rack inside the hard disk accommodation cavity, and a baffle being provided on the mounting rack at a position corresponding to each layer of the hard disk support structure, the baffle being provided at the end part of one end of the mounting rack, and the other end of the mounting rack being an opening end; elastic positioning mechanisms are provided on both sides of the mounting rack; elastic clamping mechanisms are provided at the bottom of the mounting rack. The invention can enable multiple hard disks to be completely assembled and disassembled without tools, has a simple structure, is easy to assemble and disassemble.

Abstract: Methods and a system are provided. A method includes automatically detecting, by an attribute structural variation detector, attribute structural variations in record schemas of a database lacking schema enforcement. The automatically detecting step includes encoding, by an encoder, nodes in the record schemas based on respective updated node labels to obtain a plurality of codes. The encoding step comprises, for each of the plurality of codes: recording, by a label frequency counter, a frequency f1 of the record schemas that include a given label; and recording, by a label frequency counter, a frequency fc of the record schemas that use a given one of the plurality of codes to update a label of a next level. An attribute variation is detected and retrieved responsive to the frequency fc?0, and the frequency f1>(two times the frequency fc).