53results about How to "Improve effectiveness and reliability" patented technology

The invention discloses a WLAN indoor positioning method for neural network regional training, which relates to the field of indoor positioning. The invention solves the problems great positioning error and redundant cost caused by irregular geographic environment in the existing indoor neural network positioning method. The method is realized in a way that: setting access points (AP) according to the indoor environment; setting reference points in the indoor environment; determining two APs having the greatest influence on the reference point positioning information according to the amplitude of the signal intensity RSS value of each reference point; obtaining a regional training sample set of the neural network according to the adjustment factor mu, thereby training the neural network according to the regional training sample set and obtaining a satisfactory neural network architecture; and finally, importing the signal intensity RSS value of the point to be detected into the neural network architecture, thereby obtaining the positioning coordinates of the point to be detected. The method of the invention is used for positioning in a complex system.

The invention provides an adaptive coding modulation method for data transmission of inter-satellite links of a satellite navigation system. The distance between any two satellites in a constellation is measured by an inter-satellite distance measuring device, the signal-to-noise ratio of a received signal of a receiving terminal is estimated, a coding modulation scheme selector selects a corresponding LDPC-CPM scheme on the basis of a target error rate algorithm and a handling capacity-to-bandwidth ratio algorithm and sends the LDPC-CPM scheme to a receiver through pilots, a data signal is processed by an LDPC code coder, a random interweaver and a CPM modulator to generate a modulated signal, the modulated signal is sent to an additive white Gaussian noise channel, a pilot signal is analyzed by a coding modulation scheme estimator and then superposed with the data signal of noise of the additive white Gaussian noise channel to be subjected to iterative detection by a CPM demodulator, a de-interweaver, an LDPC decoder and a random interweaver, and the LDPC decoder makes a hard decision and then outputs data. According to the adaptive coding modulation method, the reliability and effectiveness of an inter-satellite adaptive coding modulation system can be effectively improved.

The invention discloses a system and a method for analyzing a large number of logs. The system comprises a task node cluster, management nodes and a database. The task node cluster comprises at least one task node which is used for collecting, storing and analyzing a large number of log files in a distributed type. The management nodes are used for formulating collecting strategies, carrying out dispatching management on the task node cluster, finishing distributed memory and analysis and writing final log analysis results and audit information in the database. The system for analyzing a large number of the logs is capable of high efficiently analyzing and storing a large number of the logs in a large scale network environment, and reliability and effectiveness of carrying out safe audit on the logs are improved.

An embodiment of the invention discloses a method and a device for preventing misoperations. The method includes: S1, receiving a request signal for starting a misoperation preventing function; S2, acquiring an operating signal of a client side; and S3, judging whether the operating signal is positioned in an input shielding area or not, and if yes, shielding a system response corresponding to the operating signal. By arranging the input shielding area in a mobile terminal, the misoperations of the mobile terminal are prevented, and technical effects on improving effectiveness and reliability of users' operations are achieved.

The invention discloses a method and a system for sending periodical channel state information. The method comprises two modes of: jointly coding channel quality indicators / precoding matrix indication and order indication, and sending through an uplink physical control channel, or multiplexing the channel quality indicators / precoding matrix indication and order indication on an uplink physical sharing channel to send. The method disclosed by the invention is applied to fully utilize current channel coding resource to joint the channel quality indicators / precoding matrix indication and order indication when the channel quality indicators / precoding matrix indication and order indication are in conflict, so that the base station can timely obtain the downlink channel information, the downlink DCIO expenses can be saved, and the transmission efficiency and the reliability of downlink data can be improved.

The invention provides a frame aggregation control method, a device and a system, wherein the method comprises the following steps of: obtaining channel transmission quality and system to-be-transmission speed, and obtaining the length of an aggregated frame to be transmitted according to the channel transmission quality and the system to-be-transmission speed. With the method, the device and the system provided by the invention, the length of the arrogated frame is controlled effectively, thus, the effectiveness and the reliability of data transmission are improved, and the multi-rate feature of a wireless local area network is supported.

The invention relates to a method and a system for millimeter wave cloud radar three-dimensional wind field retrieval. The method comprises steps: a millimeter wave cloud radar is controlled to carry out meteorological target detection in a PPI scanning mode with a preset pitch angle, signal processing is carried out on target detection data, and original radial speed data are outputted; the original radial speed data outputted by the signal processing module are acquired, and the data are packaged and then transmitted to a main control module; the original radial speed data after being packaged are stored; the original radial speed data stored in the main control module are read and pretreated, and radial speed data for three-dimensional wind field retrieval are obtained; and the radial speed data for three-dimensional wind field retrieval are read, a retrieval equation is built under a preset solution criterion for carrying out three-dimensional wind field retrieval on the corresponding target detection data, and the three-dimensional wind field speed data are obtained. Thus, the problem that a three-dimensional wind field product can not be obtained effectively and precisely by using the millimeter wave cloud radar can be solved.

The invention provides an operation switch device internal defect determination method based on SF6 gas decomposition products, comprising steps of using a gas chromatography detection system to detect the SF6 gas decomposition products of the operation switch device, performing statistic on the detection results of the SF6 gas decomposition products to determine the characteristic gas of the decomposition products and the characteristic parameter of the characteristic gas, and determining the internal defect type of the operation switch device according to the characteristic vector. Compared with the prior art, the invention establishes the characteristic parameter determination method for the SF6 gas decomposition products under various device faults and improves the reliability and the effectiveness of the switch device internal defect determination.

The invention provides an event occurrence probability prediction method and device. The event occurrence probability prediction method comprises the steps of according to prediction index type requirements of each prediction in a preset model set for a predicted event, acquiring prediction indexes corresponding to the prediction index type requirements; applying each prediction model to process the corresponding prediction indexes, and acquiring an output probability corresponding to each prediction model; applying a pre-trained fitting model corresponding to the model set to process the output probability corresponding to each prediction model, and predicting the occurrence probability of the event. According to the event occurrence probability prediction method and device, the accuracy of a prediction result is improved, and thus the effectiveness and the reliability of processing relevant services according to the prediction result are improved.

The invention discloses a label prediction method and device, electronic equipment and a medium. The label prediction method comprises the steps: training a similarity evaluation model for label prediction; inputting the to-be-predicted data into the similarity evaluation model for similarity evaluation; performing label prediction based on the evaluated similarity to obtain a prediction label corresponding to the to-be-predicted data; training a similarity evaluation model for label prediction, including: constructing a query set and a support set; inputting a query sample and each support sample in each support subset into the similarity evaluation model to obtain the similarity between each support sample and the query sample; obtaining a label prediction set of the support set for thequery sample according to the similarity between each support sample and the query sample and the label corresponding to each support sample; and correcting the similarity evaluation model according to the difference between the label prediction set and the label carried by the query sample. Based on the corrected model, more accurate similarity can be obtained, and the accuracy of label prediction can be improved.

The invention discloses a deep-sea camera shooting and lighting tripod head, which comprises a camera shooting and lighting mechanism, a vertical slewing mechanism, a horizontal slewing mechanism and a slewing support, wherein the camera shooting and lighting mechanism is fixed on the vertical slewing mechanism; the top of the slewing support is fixed at the bottom of the vertical slewing mechanism; the bottom of the slewing support is fixed at the top of the horizontal slewing mechanism. According to the deep-sea camera shooting and lighting tripod head disclosed by the invention, the operation of horizontal slewing or vertical rotation is performed to a lighting lamp and a camera, so that the 360-degree and omni directional monitoring of the same target is realized, the cost is saved, and the effectiveness and reliability of motoring are improved.

The invention relates to a device and method for monitoring the operation state of a main shaft of a generator, and the device comprises a sampling carbon brush, a grounding carbon brush, an insulating support, a signal monitoring device, and a grounding device. The insulating support is disposed on a radial section of the main shaft of the generator, and is provided with the sampling carbon brushand the grounding carbon brush. The sampling carbon brush and the grounding carbon brush respectively make contact with the radial section of the main shaft of the generator. The sampling carbon brush and the grounding carbon brush are electrically connected with the signal monitoring device. The grounding carbon brush is grounded through the grounding device. The signal monitoring device monitors a voltage waveform between the sampling carbon brush and the grounding carbon brush, carries out the comparison and analysis of the voltage waveform and a typical waveform, and obtains the operationstate of the main shaft of the generator. According to the scheme, the device obtains the axial voltage generated by the radial section of the main shaft of the generator, monitors the operation state of the main shaft of the generator according to the comparison analysis result of the waveform of the axial voltage and the typical waveform, and achieves the accurate monitoring of the operation state of the main shaft of the generator. The invention also provides the main shaft of the generator and a steam turbine.

The invention discloses a network multimedia service semi-supervised classification method based on a t distribution hybrid model. The method concretely includes a step of data set preprocessing, a step of t distribution clustering, and a step of classification. In the step of data set preprocessing, data flow samples of various multimedia services on the Internet are collected and then are preprocessed. In the step of t distribution clustering, fitting of a t distribution hybrid model or a finite t distribution hybrid model is conducted on the above network data flow samples, and K multidimensional t distribution clusters are obtained. In the step of classification, results of the above clustering are further classified, and a total correct rate of the final classification is calculated. The t distribution hybrid model is utilized to conduct more accurate fitting on multimedia services, so the classification accuracy is improved. An EM algorithm of the finite t distribution hybrid model effectively increases the convergence speed of the t distribution hybrid model. An experiment shows that the algorithm is high in accuracy, and the fitting model is superior to a conventional K-means algorithm and a conventional EM algorithm of a Gauss hybrid model.

The invention discloses a data conversion method and a device, computer equipment and a storage medium, and the method comprises the steps: calling a preset verification rule to verify first data of an original data model, so as to obtain a verification result corresponding to the original data model; judging whether the verification result is that the verification is passed; if the verification result shows that the verification is passed, correspondingly mapping first data of the original data model into a first data conversion object; converting the first data conversion object into a second data conversion object corresponding to a new data model according to a preset conversion mode; and mapping the second data conversion object into second data of the new data model. Problem defectsexisting in the first data of the original data model are screened through the verification rule, so that the situation that after the first data with the problem defects is converted into a new datamodel, data has no reference value or data conversion fails directly is avoided.

The invention discloses a server-adaptive overcurrent protection circuit. A business board card is connected with a power supply board card; a power module and a controllable switch circuit are arranged on the power supply board card; the controllable switch circuit is connected with a plurality of configuration resistors; a board card identification signal is transmitted between the business board card and the power supply board card; the transmission direction of the board card identification signal is from the business board card to the power supply board card; on the power supply board card, the board card identification signal can be accessed to the controllable switch circuit; and the controllable switch circuit is capable of connecting a corresponding configuration resistor onto the power module according to a level of the board card identification signal and a preset corresponding relationship. According to the server-adaptive overcurrent protection circuit, type identification is carried out on an inserted business board card through the power supply board card; and according to the type of the business board card, OCP parameter setting resistor connected on the power module is switched through the switch circuit, so as to change an OCP set value. According to the server-adaptive overcurrent protection circuit, different OCP parameters are set for different board cards, so that the effectiveness and reliability of a power overcurrent protection function can be improved.

The invention discloses a manufacturing methodfor a semiconductor device, and a semiconductor device. The method comprises the following steps: firstly forming a channel hole with a groove, then forming a blocking layer in the channel hole, and then forming charge trapping layers on the inner surface of the blocking layer in the groove, wherein the first charge trapping layes are separated in a first longitudinal direction. The separated charge trapping layers can effectively prevent stored charges from diffusing among a plurality of storage units, so interference among the storage units is reduced, and the effectiveness and reliability of reading and writing of the semiconductor device can be further improved.

The invention discloses a real-time monitoring device and method for power transmission line phase-to-phase spacer waving tension. The system comprises a data collection front unit, a phase-to-phase spacer device, a communication converting unit and an industrial personal computer; the data collection front unit comprises a first tension sensor, a second tension sensor and a control module, the first tension sensor is connected with a phase-to-phase spacer of the power transmission line phase A-phase B, the second tension sensor is connected with a phase-to-phase spacer of the power transmission line phase B-phase C, the control module is connected with the first tension sensor and the second tension sensor separately, and signals are sent to the communication converting unit in a wireless communication mode; the communication converting unit transmits the received data to the industrial control computer. The stress phenomenon of the phase-to-phase spacers is obtained in time, electric workers can conveniently improve the design and layout of the phase-to-phase spacers according to the phase-to-phase spacer waving stress phenomenon, the reliability and effectiveness are improved, and finally the phase-to-phase spacer anti-waving effect is improved.

The invention proposes a dual-band ultraviolet video multi-information fusion-based partial discharge monitoring device and detection method which can detect partial discharge of power equipment. The dual-band ultraviolet video multi-information fusion-based partial discharge monitoring device of the invention includes a dual-band multi-sensing front-end device, a partial discharge multi-information fusion processing circuit, a monitor / PC, an electric equipment state monitoring system and a warning device, wherein the dual-band multi-sensing front-end device comprises an ultraviolet sensor and a dual-band ultraviolet binocular camera and can not only detect ultraviolet quantitative discharge quantity, but also can acquire videos of two different bands of partial discharge, and therefore, partial discharge multi-information fusion recognition and processing can be facilitated. With the dual-band ultraviolet video multi-information fusion-based partial discharge monitoring device and detection method of the invention adopted, real-time video monitoring can be performed on electrical equipment on site; multi-information fusion identification and warning can be performed on partial discharge; defects of other partial discharge sensors can be eliminated; and a problem of repeated financial investment under a situation in which video monitoring is realized can be solved.

The invention discloses a safe driving decision-making method for a highly human-like automatic driving commercial vehicle. The method comprises the following steps: firstly, synchronously collecting multi-source information of driving behaviors in a typical traffic scene, and constructing an expert track data set representing the driving behaviors of excellent drivers; secondly, comprehensively considering the influence of factors such as forward collision, backward collision, lateral collision, vehicle roll stability and driving smoothness on driving safety, simulating the driving behavior of an excellent driver by utilizing a generative adversarial imitation learning algorithm, and constructing a generator and a discriminator by respectively adopting a near-section strategy optimization algorithm and a deep neural network; and a safe driving decision model with a high human-like level is established. And finally, training the safe driving decision model to obtain safe driving strategies under different driving conditions. The driving intention of excellent human drivers can be simulated, a more reasonable and safer driving strategy is provided for the automatic driving operation vehicle, and the driving safety of the automatic driving operation vehicle can be effectively guaranteed.

The invention provides a method and device for the synchronies monitoring of TD-SCDMA terminal in TD-SCDMA system, which is used to monitor the synchronies state of TD-SCDMA system. Said method includes: the TD-SCDMA terminal evaluates the channels according to the SYNC-DL code in received TD-SCDMA sub-frame to get the evaluation result of channel, and obtains the evaluation result of real channel from the evaluation result of channel; choose an efficient route which can accord with the desired condition from said evaluation result of real channel, and calculates the ratio between signal power and noise power according to the evaluation result of channel, the evaluation result of real channel, and the efficient route; the TD-SCDMA terminal judges the present state is normal or not according to the ratio between signal power and noise power. Following said method and device, it can improve the reliability and efficiency of synchronies time regulation.

The invention provides a classroom teaching evaluation method based on a combined weighting method, and belongs to the technical field of intelligent education. The method comprises the following steps: acquiring sample teaching classroom data, and generating a first feature sequence; according to a preset index type, performing normalization processing on the first feature sequence to obtain a second feature sequence; according to the second feature sequence, using an analytic hierarchy process to calculate the subjective weight of each preset index, and using an entropy weight method to calculate the objective weight of each preset index, wherein the preset index is an output parameter of a preset classroom teaching evaluation model; combining the subjective weight and the objective weight of each preset index based on a preset optimization strategy to obtain a comprehensive weight of each preset index; obtaining classroom data of to-be-evaluated classroom teaching; and inputting the to-be-evaluated classroom data into the classroom teaching evaluation model to obtain an evaluation value of each index of the to-be-evaluated classroom teaching. Effective information in the subjective weight and the objective weight is considered, and the effectiveness and the reliability of the evaluation result are high.

The invention relates to an automatic target-scoring system and method for archery. The automatic target-scoring system for archery comprises a horizontal light path emitting circuit, a horizontal light path receiving circuit, a vertical light path emitting circuit and a vertical light path receiving circuit. Two scanning light paths with passive scanning heads and with light rays crossed are configured between the pair of emitting circuits and the pair of receiving circuits. The automatic target-scoring system for archery is simple in structure, the effectiveness and reliability of arrow landing position collection are high, the collection effect is good, the collection precision is high, and the system is high in safety and reliability.

The invention provides a fault diagnosis information transferring and processing method for a normalization management interface of a device. The method is applied to a network management system which consists of a network management station (NMS), and main and sub agencies operating on an optical line terminal (OLT) device. The method is characterized by comprising the following steps: detecting the type of a fault generated by the OLT device by the sub agency, and sending a message containing the type of the fault to the main agency; judging the urgency extent of the fault by the main agency, and packaging the fault message into a packet to be sent to the NMS; analyzing the packet by the NMS and processing the fault in a classified way; receiving a responding packet returned by the NMS by the main agency. By the adoption of the method, the defect that the fault management of the OLT device is not reliable is overcome, the transferring effectiveness of the message between the main and the sub agencies is improved, the cost for improving the reliable transferring of the fault notification for a network system is saved, the main agency in the OLT can be ensured to send a fault diagnosis notification to an expected destination without omissions, so that the device can be maintained and managed in time.

The invention relates to a spoken language evaluation system and method. The system comprises a teacher client and a student client; the teacher client and the student client are connected with a server; the teacher client is used for a teacher to manage student information, upload corpus data, upload teacher user information, upload teaching plan information, and check spoken language scores of all students; the student client is used for students to upload student user information, obtain corpus data and teaching plan information, upload to-be-tested speech and check spoken language scores of current users; and the server is used for storing teacher and student user information, storing corpus data and evaluating the accuracy, integrity and fluency of the to-be-tested speech to obtain spoken language scores corresponding to the student users. Compared with the prior art, the method and stem can effectively improve the interaction between teachers and students, carry out the comprehensive and accurate evaluation of the to-be-tested speech, enable the teachers to timely, completely and accurately obtain and manage the spoken language evaluation results of all the students, and facilitate the subsequent development of good spoken language teaching.

The invention discloses a excrement sampling device for DNA methylation detection, excrement preserving fluid and an excrement sampling method. The excrement sampling device for DNA methylation detection provided by the invention comprises a bidirectional-penetrated cylinder, an ejector rod is arranged in the cylinder in a penetrating mode, a piston is fixedly connected to one end in the cylinder,of the ejector rod, and the piston is in sliding connection with the inner side wall of the cylinder. An excrement collecting device and the preserving fluid provided by the invention fill up the blank of products in the field in the current market, can effectively preserve DNA and methylation characteristics in the DNA, can also improve the excrement sampling reliability and effectiveness for DNA methylation detection, and further help for large-scale intestinal cancer excrement DNA methylation screening is provided.

The embodiment of the invention provides a cloud computing city heating fault detection device and method. The detection device comprises a data acquisition device, a network communication module, a cloud server and a monitoring terminal. The data acquisition device transmits a collected data signal to the cloud server through the network communication module. The cloud server transmits feedback information to the monitoring terminal for data display. The method comprises the specific steps of S1, collecting operating state data of a heat supply pipeline through the data acquisition device; S2, transmitting the operating state data to the cloud server through the network communication module; and S3, conducting real-time monitoring on the operating state data through a state monitoring module in the cloud server, and conducting data display through the monitoring terminal. Through the cloud computing city heating fault detection device and method provided by the embodiment of the invention, the problem that a traditional city heating system conducts monitoring inconveniently can be solved, the requirements for modern secondary network fault detection can be met, and the device cancollect and monitor the operating state data in real time and improve the monitoring effectiveness and reliability.