Abstract: The present invention discloses an automatic adjustment device for a front suspension of a driverless formula racing car, comprising: a vertical column, an upper fork arm, a lower fork arm, a strength adjuster, a push rod, a rocking block and a shock absorber. By arranging the strength adjuster between the upper fork arm and the lower fork arm, and by adjusting the degree of tightness between the upper fork arm and the lower fork arm, the present invention can automatically adjust the tensile and support strength of the strength adjuster according to different car conditions and road conditions in which the racing car runs, to guarantee the structure stability of the front suspension in the running process, and prevent the front suspension from being loosening or fracturing, thereby having good adaptability and stability to structural deformation.

Abstract: An analog-circuit fault diagnosis method based on continuous wavelet analysis and an ELM network comprises: data acquisition: performing data sampling on output responses of an analog circuit respectively through Multisim simulation to obtain an output response data set; feature extraction: performing continuous wavelet analysis by taking the output response data set of the circuit as training and testing data sets respectively to obtain a wavelet time-frequency coefficient matrix, dividing the coefficient matrix into eight sub-matrixes of the same size, and performing singular value decomposition on the sub-matrixes to calculate a Tsallis entropy for each sub-matrix to form feature vectors of corresponding faults; and fault classification: submitting the feature vector of each sample to the ELM network to implement accurate and quick fault classification.

Abstract: The invention relates to a method for person re-identification based on deep model with multi-loss fusion training strategy. The method uses a deep learning technology to perform preprocessing operations such as flipping, clipping, random erasing and style transfer, and then feature extraction is performed through a backbone network model; joint training of a network is performed by fusing a plurality of loss functions. Compared with other deep learning-based person re-identification algorithms, the present invention greatly improves the performance of person re-identification by adopting a plurality of preprocessing modes, the fusion of three loss functions and effective training strategy.

Abstract: An analog circuit fault mode classification method comprises the following implementation steps: (1) collecting M groups of voltage signal sample vectors Vij to each of fault modes Fi of the analog circuit by using a data collection board; (2) sequentially extracting fault characteristic vectors VijF of the voltage signal sample vectors Vij by using subspace projection; (3) standardizing the extracted fault characteristic vectors VijF to obtain standardized fault characteristic vectors; (4) constructing a fault mode classifier based on a support vector machine, inputting the standardized fault characteristic vectors, performing learning and training on the classifier, and determining structure parameters of the classifier; and (5) completing determination of fault modes according to fault mode determination rules. The fault mode classifier of the present invention is simple in learning and training and reliable in mode classification accuracy.

Abstract: The embodiments of the present disclosure provide a method and system for patrolling an expressway by unmanned aerial vehicles (UAVs). The method is applied to the system including a control center, a plurality of UAVs and a plurality of advertising board charging base stations. The method firstly receives unmanned aerial vehicle (UAV) status information sent by the plurality of unmanned aerial vehicles and road section patrolling data through the control center, and receives advertising board charging base station information sent by the plurality of advertising board charging base stations, then classifies, stores and analyzes the received data and information, and finally generates and sends control commands for the UAVs and charging advertising boards.

Abstract: A nanofriction power generation device with spiral vibrating balls and a buoy body thereof-includes an inner spiral barrel, an outer spiral barrel sleeved outside the inner spiral barrel, hollow balls between the two spiral barrels, an electric energy storage device contained in the inner spiral barrel, and a buoy barrel for containing the outer spiral barrel. The outer wall of the inner spiral barrel and the inner wall of the outer spiral barrel are respectively provided with first spiral tracks and second spiral tracks extending from one end to the opposite other end. The inner spiral barrel is in the outer spiral barrel, and the first spiral tracks and the second spiral tracks have a one-to-one correspondence and form spiral channels. Nanofriction electric generator films are attached to an outer surface of each hollow ball and an inner wall of each spiral channel.

Abstract: The present invention provides a method and system for synchronously storing multi-modal information of portable endoscope. The method includes: S1: when a mobile terminal acquires data collected by a portable endoscope and updates local data with the acquired data, acquiring update record of the local data of the mobile terminal; and, S2: when the mobile terminal is synchronized with a cloud, synchronizing data in the mobile terminal with data in the cloud by using the update record as information to be synchronized. By creating a table to be synchronized to store change information and location information of files and selectively performing synchronization from the mobile terminal to the cloud or from the cloud to the mobile terminal according to whether or not the table to be synchronized is null during synchronization, unnecessary synchronization operations, storage burden of the mobile terminal and synchronization time and traffic are all reduced.

Abstract: The present invention discloses an automatic loading system and method for service functions of a hydraulic machine. The loading system includes an acquiring portion for acquiring i service function component chains of a hydraulic machine, a determining portion for determining a demand sequence of the service function component chains used by a user within each preset time period in a measuring cycle based on the acquired service function component chains and a deciding portion for automatically loading a service function of the hydraulic machine in a next moment according to the demand sequence based on a current input operation command of the user. By adopting the automatic loading system or method provided by the present invention, response speed of intelligent services of the hydraulic machine can be improved.

Abstract: An analog circuit fault diagnosis method using a single testable node comprises the following steps: (1) obtaining prior sample data vectors under each fault mode; (2) computing a statistical average of the prior sample data vectors under each of the fault modes; (3) decomposing a signal by an orthogonal Haar wavelet filter set; (4) extracting the feature factor of the prior sample fault modes; (5) extracting a fault-mode-to-be-tested feature factor; (6) computing a correlation coefficient matrix and correlation metric parameters between the feature factor of the prior sample fault modes and the feature factor of the fault-mode-to-be-tested; and (7) determining a fault mode according to a maximal correlation principle by comparing the correlation metric parameters.

Abstract: The application discloses a data processing device, a data processing method and a digital signal processing device. The data processing device is used to reduce computing amount by reading and writing operation of memory. The data processing device comprises: a module for calculating reduced coefficient matrices, a storage module, a module for modifying reduced coefficient matrices, a module for triangular inversing, a module for obtaining inversion matrices and a module for correcting reverse result.

Abstract: A method for predicting a remaining useful life of a lithium battery based on a wavelet denoising and a relevance vector machine, relating to a method for estimating health condition and predicting remaining useful life of lithium battery, includes steps of: (1) obtaining health condition data of each of charge-discharge cycles of the lithium battery by measurement; (2) processing capacity data measured of the lithium battery with wavelet double denoising; (3) calculating a capacity threshold where the lithium battery fails; (4) referring to capacity data and charge-discharge cycle data of the lithium battery, applying a differential evolution algorithm for optimizing a width factor of the relevance vector machine; and (5) predicting the remaining useful life of the lithium battery with the relevance vector machine optimized by the differential evolution algorithm. The method is simple and effective, which can accurately predict remaining useful life of lithium battery.

Abstract: The present invention discloses a task scheduling system and method suitable for mobile health, the characteristics thereof including: a mobile health task distribution module, a plurality of mobile health task processing modules and a mobile health task callback module; the mobile health task distribution module comprises: a resource description unit, a resource scheduling unit, a resource matcher; each of the mobile health task processing modules comprises: a task decomposition unit, a task execution unit, a task evaluation unit. The present invention is capable of carrying out tasks with full use of the currently available task processing resources, thereby being capable of improving the efficiency and performance of the task scheduling processing in the mobile health environment.

Abstract: The present invention discloses a scheduling method and system based on a hybrid variable neighborhood search and gravitational search algorithm. The method includes: 1 setting parameters of the algorithm; 2 initializing an initial solution of the algorithm; 3 performing local search based on a gravitational search algorithm (GSA); 4 updating the initial solution; 5 determining whether an algorithm termination condition is satisfied; if yes, outputting the global optimal solution searched for by the algorithm, otherwise, returning to the step 3. According to the present invention, a near-optimal solution for the continuous batch processing problem based on position learning effect and linear starting time can be obtained, so that an enterprise can make full use of production resources thereof to the utmost extent, and thus reduce production costs and improve the enterprise service level and the customer satisfaction level.

Abstract: A method and a system for scheduling parallel machines based on hybrid shuffled frog leaping algorithm and variable neighborhood search algorithm are provided to solve collaborative production and processing of jobs on a plurality of unrelated batch processing machines. The jobs are distributed to machines based on the normal processing time and deterioration situation of the jobs on different machines and are arranged. An effective multi-machine heuristic rule is designed according to the structural properties of an optimal solution for the single-machine problem, and the improved rule is applied to the improved shuffled frog leaping algorithm to solve this problem. The improvement strategy for the traditional shuffled frog leaping algorithm is to improve the local search procedure of the traditional frog leaping algorithm by introducing the variable neighborhood search algorithm. The convergence rate and optimization capacity of the original algorithm are thus improved.

Abstract: A nanofriction power generation device with spiral vibrating balls and a buoy body thereof-includes an inner spiral barrel, an outer spiral barrel sleeved outside the inner spiral barrel, hollow balls between the two spiral barrels, an electric energy storage device contained in the inner spiral barrel, and a buoy barrel for containing the outer spiral barrel. The outer wall of the inner spiral barrel and the inner wall of the outer spiral barrel are repectively provided with first spiral tracks and second spiral tracks extending from one end to the opposite other end. The inner spiral barrel is in the outer spiral barrel, and the first spiral tracks and the second spiral tracks have a one-to-one correspondence and form spiral channels. Nanofriction electric generator films are attached to an outer surface of each hollow ball and an inner wall of each spiral channel.

Abstract: The present invention discloses a method and system for determining a maintenance policy of a complex forming device. The method and system include: establishing a performance judgement standard; obtaining actual operation data; and determining a performance stage of the complex forming device, and determining the maintenance policy of the complex forming device. The establishing a performance judgement standard includes allocating data located at different performance stages to corresponding working condition units; setting data located at a normal performance stage to normal reference data, and calculating, by using a shortest path algorithm, distances between operation data of different working condition units in different functional modules and the normal reference data, to obtain performance statuses of the different functional modules.

Abstract: The present invention discloses a mobile health intelligent medical guide system and method thereof. The method comprises: collecting patient chief complaint by use of a mobile terminal, sending the patient chief complaint to a cloud server through the mobile phone device internet, analyzing and processing the patient chief complaint by use of the keyword extraction, text word segmentation, fuzzy matching and sorting recommendation technologies based on a medical knowledge base, automatically generating a disease examination result, and generating an intelligent medical guide result to be fed back to the mobile terminal in combination with the doctor information; and then optimizing the disease examination result and the intelligent medical guide result one by one until the patient ends the query or the diagnosis result achieves the optimum. The system can assist the patient to perform self-helped disease examination and medical guide in the mobile environment.

Abstract: Provided in the present disclosure is an online fault detection device installed in a train car and used for a high-speed train running component comprising a GPS module (1), a noise sensor (2), a 3G module (5), a solid-state drive (6), a microprocessor (4), a status indicator (3), and a buzzer (7). Input ends of the microprocessor (4) are connected to an output end of the GPS module (1) and an output end of the noise sensor (2) respectively. Output ends of the microprocessor (4) are connected to an input end of the status indicator (3) and an input end of the buzzer (7) respectively. The microprocessor (4) is interactively connected to the 3G module (5) and the solid-state drive (6) respectively. The device above is reliable and easy to be installed and maintained; and the components and sensor thereof are not prone to be damaged.

Abstract: A single sensor type three-dimensional micro/nano contact trigger measuring probe is provided which is characterized in respectively providing a probe unit and a measuring unit in the base. In the probe unit, the leaf spring is supported on the circular-ring base, a circular suspension plate is provided on the leaf spring, and beam splitter prisms and wedge block are fixedly provided on the circular suspension plate. The stylus and the circular suspension plate are fixedly connected in a “T” shape. The measuring unit projects the straight light emitted by a laser device through the beam splitter prisms and wedge block and then the straight light is focused on the four-quadrant detector. Measuring the offset of the probe by the four-quadrant detector, in such a manner that single sensor type three-dimensional micrometer contact trigger measurement is achieved.

Abstract: The present invention provides a program counter compression method and a hardware circuit thereof. The compression method of the present invention includes the following steps: step (1), acquiring execution condition of instructions sent by a processor and classifying and screening said instructions based on said execution condition of the instructions; step (2), executing differential operation on instruction count values of the objective classification and the stall periods based on the classifying and screening result and splicing the obtained differential values; step (3), dictionary encoding the valid differential slicing data segments recorded in step (2). The present invention effectively combines the architecture compression and non-architecture compression and proposes a three-stage compression scheme by organizing and applying classifying and screening, differential encoding and dictionary compression, which drastically increases the compression ratio of the program counter.