2436results about How to "Reliable design principle" patented technology

The invention discloses a method for simultaneously determining a pile position and a critical depth of an anti-slide pile by using displacement monitoring, which is applicable to determining and designing the pile position and the critical depth of the anti-slide pile on an accumulated layer landslide. The method comprises the following steps of: (1) performing investigation, analysis and evaluation aiming at the geology of a side slope to be managed to determine a landslide body region; (2) dividing grids on the landslide body and selecting a displacement monitoring point position; (3) monitoring equipment mounting and displacement monitoring; (4) determining a synthetic total displacement value S (i, j) and vertical displacement direction rate of each monitoring point of landslide displacement; (5) determining landslide instability property and an anti-slide pile space reinforcement position; (6) determining the critical depth of a shearing slip band of the landslide body; (7) determining the pile length of the anti-slide pile of the landslide; and (8) performing information construction of the anti-slide pile. The method has the advantages of less investment cost, reliable design principle, high position determination accuracy, easiness, convenience, fastness, easiness in implementation and strong engineering applicability.

The invention relates to a method based on LSTM-. The electroencephalogram signal feature extraction and classification recognition method for the FC is characterized by comprising the following steps: S1, collecting and preprocessing electroencephalogram signals; S2, defining a basic model structure of the LSTM network; S3, enabling the feature matrix passing through the LSTM network to pass through a two-layer FC network to obtain an LSTM model fused with the FC network, namely, LSTM-; An FC model; S4, inputting the training set into a corresponding model for training, and updating the network by using error back propagation; S5, after the corresponding model is trained, inputting the test set into the model to obtain the final classification accuracy of the motor imagery task, and thenthe performance of the model is evaluated; S6: comparing performance of LSTM and LSTM-FC models to obtain the best model.

The invention relates to an identity authentication method and system based on a digital signature of a token. The method comprises the following steps: a client sends a request; if a server-side detection module detects that received request information does not carry the token, a return module returns error information to prompt a user to carry out verification again; if the server-side detection module detects that the received request information carries the token, a verification module verifies the digital signature; and if the digital signature is valid, a server decryption module decrypts token contents through a private key, the verification module verifies the validity of the token contents, and data is acquired for subsequent operations. The method and system adopting the technical scheme has the advantages that authentication and status information of a user is managed and operated through server-side encryption and decryption technologies, so that no relevant information isstored on a server, and high safety and higher efficiency are further ensured.

The invention belongs to the technical field of computer equipment and relates to a hardware real-time operation system. A timing manager is used for realizing time delay and periodic execution of a task through a hardware timer; a task manager is used for realizing operation management of a task control block queue; an event manager is used for realizing operation and management of a semaphore control block, a mutually exclusive semaphore control block, a semaphore set control block, a message mailbox control block and an event control block of a message queue control block; and a bus interface manager is used for realizing data transmission and control between a processor and the real-time operation system. The hardware real-time operation system has a reliable design principle, an advanced design concept and a scientific contract technical means, adopts a cross embedded technology and an integrated circuit technology to achieve a hardware real-time operation system IC (integrated circuit), effectively improves real-time performance, reliability and stability of the real-time operation system, and has wide development and application values.

The invention belongs to the technical field of mechanical designs and relates to a motor vehicle drive axle design method. The motor vehicle drive axle design method includes performing attribute matching comparison on instance features and design requirements according to user's design parameters, calculating similarities of all instances, extracting the instances with the maximum similarities as base models of variant designs, and modifying the instances with the maximum similarities, wherein amended solutions are used as new instances which are to be stored in an instance base. The motor vehicle drive axle design method is reliable in design principle, advanced in design thinking, high in design accuracy, short in time, environmental friendly, and capable of saving man-human resources, and effectively improving design efficiency and design qualities.

The invention relates to an LSTM (Long Short Term Memory)-based electroencephalogram signal rapid classification and identificationrecognition method, which is characterized by comprising the following steps of: S1, acquiring and preprocessing electroencephalogram signals; S; s2, defining an LSTM network structure, and constructing a network model by using open-source deep learning architecture TensorFlow; S; s3, comparing the real label with the predicted label, calculating loss by utilizing a cross entropy loss function, and selecting an optimal optimization function to optimize the network,so as to improve the training accuracy; and S4, predicting labels of the test set by using the trained model, comparing the labels with real labels, and evaluating the model.

The invention belongs to the technical field of motor vehicle collision accidents and relates to a motor vehicle collision accident simulation method. The method comprises the following steps: firstly setting motor vehicle collision parameters and inputting into a well-established computer simulation system which automatically calculates the motor vehicle collision parameters for further judgment and analysis; calculating stress condition, so as to judge whether elastic-plastic collision or rigid collision occurs; then calculating collision energy so as to activate a sound trigger to generate collision sound, and closing the motor vehicle braking or collision sound; and finally, recording the collision cache data, outputting and displaying collision energy files, screenshot files and parameter files, and terminating the collision process. The method provided by the invention has the advantages of simple technological process, reliable design principle, and real simulation scene, is favorable for analysis and judgment, and can be widely used for teaching, scientific research, accident analysis and other occasions.

The invention belongs to the technical field of geological landslide measurement and relates to a method for measuring geological landslide displacement by using rainfall. The method includes five steps: landslide area rainfall and landslide displacement data monitoring, rainfall and landslide displacement monitored data preprocessing, landslide displacement and rainfall correlation analysis calculating, landslide displacement and rainfall hysteresis analysis calculating and evaluating and forecasting. The step of landslide displacement and rainfall correlation analysis calculating specifically includes: (1) building a rainfall main sequence and a landslide displacement subsequence; (2) performing dimensionless normalization processing for the rainfall main sequence and the landslide displacement subsequence; (3) obtaining difference information of a matrix; (4) obtaining the correlation coefficients indicating correlation of the main sequence and the subsequence; and (5) obtaining the average value of all the correlation coefficients, namely the final correlation degree. The method is simple to achieve, reliable in design principle, accurate in calculation and analysis, fast and high in accuracy by performing calculating through a computer, low in cost, good in monitoring and early-warning effects, obvious in benefit and high in monitoring efficiency.

The invention relates to a system and method for controlling the restart of a single hard disk by using a BMC. The system comprises a BMC chip and a CPLD chip, wherein the BMC chip is connected with aPCIE expansion chip; a CPLD chip is connected with a cold restart controlling chip and a hard disk interface; the PCIE expansion chip is connected with the hard disk interface to receive instructionsfrom the BMC chip and conduct different kind of controls after judging the instruction information; the CPLD chip is connected with the PCIE expansion chip, a hard disk is connected with the hard disk interface; and a power supply module is connected with the cold restart controlling chip. By the communication between the BMC chip and the PCIE expansion chip, which transmits the information to the rear panel of the hard disk to conduct controls on cold and hot restarts of the hard disk, the monitoring ability of the BMC is improved, the ability of controlling the single hard disk is improved,the insufficient support for the cold start and hot restart function of the single hard disk is compensated, the maintainability of the hard disk is improved and the data protection of the hard diskis enhanced.

The invention provides an identity-based closed key management method and system. The method comprises the following steps: 1, an identity authentication request is submitted to an identity authentication server when a user logs in, and a user token is returned upon successful identity authentication; 2, when the user requires encryption/decryption service, the token and user data are submitted toan encryption/decryption service module; 3, the encryption/decryption service module submits the user token to a key management server, and requests a user data key; 4, the key management server requests the identity authentication server to verify the validity of the token, and the key management server searches for user data key ciphertext through a user ID upon successful verification; 5, thekey management server obtains user data key plaintext through decryption and returns the user data key plaintext to the encryption/decryption service module; and 6, the encryption/decryption service module carries out encryption/decryption operation on the user data through the user data key, and returns an encryption/decryption result. The system comprises the identity authentication server, thekey management server, a hardware security module, and the encryption/decryption service module.

The invention provides an automatic monitoring method and system for open source component vulnerabilities. The automatic monitoring method comprises the following steps: scheduling crawlers to searchand capture data newly published by bug disclosure platforms at home and abroad; recording the grabbed data and updating the grabbed data to a local open source component vulnerability library; scheduling an open source component used by the fingerprint scanner detection system and service, recording a scanning result and updating the scanning result to an open source component database; matchingthe grabbed data with information in an open source component database to screen components with risks at present; and performing early warning on related responsible persons by a scheduling component vulnerability feedback recording mechanism. The automatic monitoring method can realize Automatic vulnerability early warning tracking and security construction, so that security personnel only needto pay attention to screened vulnerabilities related to products and companies. Therefore, the extra-large workload is saved, and the security vulnerability discovery and tracking efficiency is improved; the vulnerability tracking range is expanded; and the latest burst vulnerability can be responded within 24 hours, so that the company network security response timeliness is improved.

The invention provides a text similarity measurement method based on semantic document expression, which comprises the following steps: acquiring two texts to be compared, and respectively performingword segmentation preprocessing on sentences of each text; mapping the preprocessed vocabularies of the two texts to generate word vectors; processing each text through a convolutional neural networkmodel CNN and a bidirectional long-short-term memory loop network model BiLSTM, and extracting CNN sentence semantic features and BiLSTM sentence semantic features of each text; for each sentence semantic feature of each text, capturing an attention feature through an attention mechanism model, generating a weight vector, calculating a weight sum, generating a CNN semantic representation vector and a BiLSTM semantic representation vector, and respectively splicing the two semantic representation vectors of each text to generate a vocabulary semantic association feature vector; and constructinga similarity calculation function according to the vocabulary semantic association feature vectors of the two texts, and calculating the similarity of sentences of the two texts.

The invention belongs to the technical field of bus charging devices, and relates to a bus sectioning charging device. The bus sectioning charging device comprises radio frequency cards carried by passengers, bus-mounted units in buses and a remote server, each bus-mounted unit comprises a central processing unit, a card reader connected with the central processing unit, a GPS positioning device, a liquid crystal display, an audio device, a data storage device and a bus-mounted wireless remote communication device, and each bus-mounted wireless remote communication device is communicated with the remote server. The bus sectioning charging device has the advantages that mileage for the passengers taking the buses is calculated according to information when the passengers get on the buses and information when the passengers get off the buses, bus taking fees are calculated according to the mileage, fee deduction operation is completed through remote communication, and the purpose of achieving charging bus taking fees according to the mileage is achieved truly. In addition, the bus sectioning charging device is reliable in design principle and simple in structure, and has quite wide application prospect.

The invention discloses hyperbranched slow-swelling profile control particles and a preparation method thereof. The profile control particles are prepared by drying, crushing and screening a functional skeleton monomer, an acrylamide monomer and a temperature-resistant and salt-resistant monomer by taking ammonium persulfate or azobisisobutylamidine as an initiating agent and adopting hydrogel prepared by a free radical copolymerization method, wherein the functional skeleton monomer is obtained by adopting methyl methacrylate to perform terminal group modification on polyamide-amine; the temperature-resistant and salt-resistant monomer is N-vinyl pyrrolidone, 2-acrylamide-2-sodium methylacrylsulfonate or sodium vinylsulfonate. The profile control particles disclosed by the invention take a hyperbranched skeleton unit as a core to form a three-dimensional network structure, and form hydrogel with high strength and strong toughness after water swelling to block a high-permeability layer to promote liquid flow diversion, so that the profile control particles can be used for deep profile control of an oil reservoir with the temperature of 60-120 DEG C and mineralization degree of 2*10<4>-20*10<4>mg/L. The preparation method of the profile control particles is reasonable in principle and simple and convenient in operation and has broad application prospects.

The invention provides a particle swarm optimization based B spline curve fitting method and system. A contour image of a target object is collected; contour data points of the target object are obtained according to the collected contour image; the initial control point and node vector of a B spline curve are calculated and obtained on the basis of the obtained contour data points; an initial swarm of the coordinate of the initial control point is constructed, and the initial control point is optimized by particle swarm optimization to obtain an optimized control point; and a fit B spline curve is formed according to the obtained node vector and optimized control point. The B spline curve fitting accuracy and reliability are improved.

The invention provides a flow management method and device based on a virtual route, a terminal and a storage medium. The flow management method based on the virtual route comprises the following steps: creating a virtual route on computing nodes belonging to the same network node; obtaining virtual machine topology information of the computing node, and generating a path table of computing node virtual route transmission data according to the topology information; obtaining a target address of a data packet uploaded by the virtual machine to the computing node to which the virtual machine belongs; querying a matching path in the path table according to the target address; and forwarding the data packet according to the matching path. The invention separates an original function that the route has to be judged through the network node and divides the function into each computing node, so that the virtual route on each computing node is responsible for path judgment and forwarding on the node; therefore, the flow can be transmitted directly to each other in the two-layer network without going to the network node to obtain a path; therefore, the flow load pressure of the network nodeis reduced, and the bottleneck problem of the network node is solved.

The invention provides a server network card remote testing method and device, a terminal, and a storage medium. The method comprises the following steps: logging to a target server system through a BMC serial port redirecting function; circularly executing the restarting of a target server network card by utilizing an interaction script; establishing network connection with a target server and monitoring a connection state; and generating a network card testing result according to the synchronization of the connection state and the network card restarting. An operation of manually inputting atest instruction can be avoided, the opening/closing function pressure testing of the network card can be realized without using the system network, the testing time is greatly saved, and the servernetwork card testing efficiency is improved.

The invention belongs to the technical field of sea natural environment corrosion testing equipment, and relates to a deep sea mud environment corrosion testing apparatus. The bottom of a test frame is fixedly provided with a test sample; the lower ends of four columns of the test frame are aligned with the lower edge of the test sample, and the outer side of one column is fixedly provided with a circular sea mud sampler; a counterweight cast iron plate is arranged on a counterweight slideway prepared on the bottom side surface in the test frame; the upper part of the corresponding counterweight slideway on the right side in the test frame is fixedly provided with an environmental factor test unit and a corrosion test unit; the left side in the test frame is fixedly provided with a coil barrel; a recovery cable is arranged in the coil barrel; the upper part of the test frame is connected with a floating body which is supported and fixed by a floating body bracket; the middle part of the floating body is fixedly provided with two acoustic releasers; and an upper end bracket structure of each of the two acoustic releasers is provided with a suspension circular ring. The invention has the advantages of simple major structure, reliable design principle, large sample measurement amount, high test data quantity, high accuracy and friendly test environment, and is simple to use and operate.

The invention provides a MobileNetV3-based real-time human head classification detection method. The method comprises the following steps of S1, selecting a training data set and performing classification labeling on the selected training data set, wherein the training data set comprises a mask face data set, a face data set and a head data set; S2, performing enhancement processing on the image data of the labeled training data set; S3, generating a priori box for each category according to different categories of the training data set; S4, constructing a model based on the MobileNetV3, and training the model through the training data set; and S5, applying the trained model to the large screen, and reasoning the real-time human head image captured by the large screen camera to obtain a classification detection result. According to the invention, rapid and accurate classification detection of the human head is realized, key information points of the human face are provided, and a classification detection result provides a data basis for subsequent processing.

The invention provides an FPGA-based domestic platform database acceleration system and method, the system comprises a host and an FPGA board card connected with the host, and the host comprises a CPU, a PCIe driver and an HOST program. The FPGA board card is connected with the CPU through a PCIe interface; The PCIe driver is used for establishing a data transmission path between the CPU and the FPGA; The HOST program is responsible for operation analysis and distribution, so that the CPU unloads the compute intensive tasks to the FPGA for execution; The FPGA chip is used for executing the computing intensive tasks unloaded by the CPU; The host also comprises a Kernel. Lib module and an operation support library; and the Kernel. Lib module is used for realizing issuing of a parallel acceleration function file and an algorithm by utilizing the operation support library.