658results about How to "Guaranteed completeness" patented technology

The invention provides a bearing fault classification diagnosis method based on sparse representation and an LDM (large margin distribution machine), overcomes the defects that signal decomposition is incomplete, a reconstructed signal cannot better keep features of an observed signal and the like in the conventional single-channel mechanical compound fault diagnosis method. According to the method, signal conversion from one dimension to high dimension is realized with a CEEMD (complete ensemble empirical mode decomposition) method, the decomposition completeness is guaranteed, and a mode mixing phenomenon is inhibited; meanwhile, a dimensionality reduction method based on sparse representation is introduced into a feature extracting and processing process of a blind source signal, data are subjected to sparse reconstruction through sparse representation, and data feature information is extracted from global data, so that the reconstructed signal can better keep the data features of the observed signal; further, the LDM classification method is introduced into a model fault type classification processing process of a to-be-detected bearing, and the accuracy and effectiveness of bearing fault diagnosis can be improved by aid of the generalization ability of the LDM classification method.

The invention discloses a real-time dense monocular simultaneous localization and mapping (SLAM) method based on an online learning depth prediction network. The method comprises: optimization of a luminosity error of a minimized high gradient point is carried out to obtain a camera attitude of a key frame and the depth of the high gradient point is predicted by using a trigonometric survey methodto obtain a semi-dense map of a current frame; an online training image pair is selected, on-line training and updating of a CNN network model are carried out by using a block-by-block stochastic gradient descent method, and depth prediction is carried out on the current frame of picture by using the trained CNN network model to obtain a dense map; depth scale regression is carried out based on the semi-dense map of the current frame and the predicted dense map to obtain an absolute scale factor of depth information of the current frame; and with an NCC score voting method, all pixel depth prediction values of the current frame are selected based on two kinds of projection results to obtain a predicted depth map, and Gaussian fusion is carried out on the predicted depth map to obtain a final depth map. In addition, the invention also provides a corresponding real-time dense monocular SLAM system based on an online learning depth prediction network.

The invention pertains to a path testing in a program testing. The concept of a program control flow base path is defined through bringing in the concept of base in mathematics, a data structure showing a program structure of a source program slice is obtained by using a compiler module first; then through traversing the data structure, a control flow path generating algorithm is utilized to generate a subset compiler module of a program control flow path which is based on a base path to interpret the semanteme on a tested source program, an abstract syntax tree structure showing the structural information of the tested program control flow is output. An adjacency matrix of a control flow graph generates a module ergodicity abstract syntax tree structure, and generates the adjacency matrix representation of a program flow chart. A control flow path subset generating module acquires the control flow information of the tested program through traversing the adjacency matrix, traverses the adjacency matrix by adopting a depth-first multiple backtracking method, and processes sentence nodes, thus a program control flow path subset based on the base path is generated. The method has the outstanding advantages in generating results and flows, and can be widely used in the engineering practice of a path cover testing in a software structure testing.

The invention discloses a power network area division method based on an evaluation index system of a power distribution network and clustering analysis. The power network area division method comprises the following steps of: S1, selecting multiple primary indexes capable of reflecting the current situation of a power distribution network in a certain urban, and establishing the evaluation index system of the power distribution network by utilizing a systematic clustering method; S2, determining the comprehensive weight of each evaluation index in each class in the evaluation index system by adopting a subjective and objective analysis method, in which an improved hierarchical analysis method and an entropy weight method are combined, and, in combination with a scoring value of each evaluation index, obtaining the comprehensive score of the power distribution network in an evaluated area; and S3, performing clustering analysis of the comprehensive score of the power distribution network in the evaluated area so as to obtain a classification result of the power distribution network in the whole area. According to the power network area division method disclosed by the invention, on the basis of the general characteristics of the power distribution network, the development current situation and the development capability of the power distribution network are scientifically evaluated; and practical and reliable basis is provided for determining a key factor influencing development of the power distribution network.

The invention discloses a block chain data filing method. The block chain data filing method is divided into two steps of: data snapshot: initiating a snapshot production request to a block chain node by a system manager, carrying out backup on locally maintained account book data by the block chain node after receiving the request, carrying out full-dose hash calculation on the account book data and storing the calculation result as metadata; and data dump: carrying out data dump by the system manager on the basis of a snapshot point after the data snapshot, and carrying out dump on block data, block heights of which are smaller than a block height of the snapshot point, and related transaction data, receipt data, account book modification log data and illegal transaction record data, so as to complete data filing.

The invention provides a target trajectory optimization method based on a DS evidence theory, and the method comprises: a data collection device obtaining multi-target information, and outputting a target coordinate position, a posture, a trajectory and a high-low resolution image set; constructing a generative adversarial network to reconstruct a simulation target, and outputting a simulation high-low resolution image set of the coordinate position, posture and track of the simulation target and a real target; detecting a key frame calculation feature repetition rate, constructing a dictionary judgment loop based on the two-dimensional high-low resolution image set and the three-dimensional target RGB point cloud, and realizing trajectory optimization; establishing a sample matrix to represent an output trajectory, including a real target trajectory, a generative adversarial network output simulation target trajectory, and an optimized trajectory after loopback detection; and performing correctness judgment on the trajectory based on the spatial features, the image features and the trajectory information by utilizing a DS evidence theory, and outputting an optimal trajectory. Theoptimal trajectory is output, and accurate information is provided for unmanned control, target recognition and detection, region detection, path planning and the like.

The invention discloses an unsealing method for a flip chip device. The method comprises the steps that a three-dimensional microscope is used for observing a device to be unsealed, and the appearance size, packaging thickness, packaging forms and packaging materials of the device to be unsealed are measured; one or more of a scanning acoustic microscope, a micro-focus X ray detector and a CT detector are selected to observe and record the device to be unsealed; the unsealing scheme of the device is determined according to the type of the device and the detecting results; embedding polishing or shell unsealing is used for carrying out unsealing pre-processing on the device to be unsealed; one or more of a mask etching method, a chemical etching method and a section microscopy method are used for carrying out chemical unsealing on the device to be unsealed; the interior technical parameters of the unsealed device are detected, evaluated and analyzed. Compared with a traditional unsealing method for a flip chip technology device, the unsealing method for the flip chip device has the advantages that the unsealing quality is greatly improved, and completeness and electrical characteristics of an unsealed silicon wafer are guaranteed.

The invention discloses a method for quickly measuring the content of phosphorus, lead and zinc in industrial ferrous dust. The method comprises the steps of sample decomposition, setting the instrument analysis parameters of an ICP (Inductively Coupled Plasma) spectrometer, interference correction, making a working curve, and analyzing the content of to-be-measured elements in a measured sample by using an ICP spectral method, wherein the sample decomposition comprises sample pre-decarburizing treatment and sample pressure-microwave digestion. The invention provides a new method for improving the speed and the accuracy in a chemical test of hazardous elements in metallurgical dust.

Provided is an intelligent bad video detection method based on face retrieval. The method involves three parts, and the three parts comprise six modules in total. The video face extraction module M1 is used for extracting faces emerging in a video sample. The face gender classification module M2 is used for conducting gender classification on results obtained by the module M1. The face feature extraction module M3 is used for conducting feature extraction on obtained female faces to generate an inverted list. The database building module M4 is used for building a retrieval database for querying through output results of the module M3. The database updating module M5 is used for registering newly-found samples which are labeled as bad video and are not recorded in the database and adding registering results into the retrieval database. The face retrieval module M6 is used for comparing faces in the sample to be detected with faces in the retrieval database. The intelligent bad video detection method based on face retrieval can be used for conducting intelligent identification on video samples including common video and bad video, manpower and time are greatly saved, and meanwhile the detection accuracy is improved.

A disclosed rapid determination method for multiple component contents in mold flux comprises the following steps: 1) carbon-removing pretreatment on mold flux; 2) sample dissolving by microwave digestion; 3) preparation of standard solutions of to-be detected components; 4) drafting of standard curves; and 5) determination on contents of the various components in mole flux. By combining microwave digestion sample dissolving technology and inductively coupled plasma emission spectrometry, the multiple component contents in mold flux are determined by one time; the rapid determination method has the advantages of being complete and rapid in reaction and low in blank value; the use amount of an agent is reduced by 50% or more; because microwave digestion is performed under the enclosed condition, the loss of to-be determined elements is reduced and laboratory pollution is reduced; the temperature is strictly controlled in the process of digestion, so that the accuracy of determination results is guaranteed; and the determination result is accurate and reliable, the operation is simple, the analysis speed is improved by 50% or more, the determination period is substantially shortened, and the rapid determination method satisfies comprehensive utilization of mold flux and practical operational requirements in production field.

The invention aims at providing a nozzle for enhancing the atomization by plasma. The nozzle comprises a low-temperature plasma discharging assembly, an oil filter and a swirler assembly, wherein the low-temperature plasma discharging assembly comprises an outer electrode, an inner electrode, a ceramic piece and a power supply connecting frame, the power supply connecting frame is sheathed on the outer electrode, one part of the ceramic piece is installed in the outer electrode, the other part of the ceramic piece is installed in the power supply connecting frame, the inner electrode is installed in the ceramic piece, and a discharging area is formed between the ceramic piece and the outer electrode; the swirler assembly comprises a bracket, a support spring, a nozzle shell, a swirler and a swirler shell, the swirler is installed in the swirler shell, the support spring is connected with the bracket and the swirler, the swirler shell is installed in the nozzle shell, and a spray nozzle of the swirler shell is communicated with a spray nozzle of the nozzle shell; and the low-temperature plasma discharging assembly is connected with the swirler assembly, and the oil filter is installed on the outer electrode and is communicated with the discharging area. According to the nozzle for enhancing the atomization by plasma provided by the invention, the atomization effect is improved, and the flame transmission speed is quickened.

The invention discloses a processing method for increasing the retention rate of rice germs. The method comprises steps as follows: A, screening of unhusked rice; B, stone removal for the unhusked rice; C, husking; D, a husked rice separation and magnetic separation procedure; E, a rice milling procedure; F, polishing of the rice; G, color sorting and classification of the rice; particularly, a buffer device is added to the husking procedure, the rice flow impact force is reduced, the manner that multiple machines are adopted for gentle milling is adopted in the rice milling procedure, and the moisture content of unpolished rice is adjusted before polishing; the cold rice polishing manner is adopted for polishing of the rice; the retention rate of the rice germs is increased with the processes. The method is simple and convenient to use, damage to rice germ parts can be reduced, and the retention rate of the rice germs can be substantially increased to at least 80%.

The invention an electric-energy quality data compression and reconstruction method based on self-adaptive dictionary learning, and self-adaptive dictionary learning is used for sparse representation of electric-energy quality data. A lot of different types of electric energy quality data form a training sample set, and the completeness and redundancy of the training sample set are ensured; basic atom sparse codes which can represent the electric energy quality data is extracted from the training sample set adaptively, and a self-adaptive dictionary is obtained via iteration; a random Gauss matrix is used to carry out dimension-reducing measurement on electric energy quality test signals, and compression sampling is realized; and on the basis of compressed perception theories, the self-adaptive dictionary is used for sparse solution to obtain a sparse representation matrix of test signals, and the original signals are decoded and reconstructed. Thus, the electric energy quality data is compressed and sampled simply and reconstructed accurately, the sampling efficiency of the electric energy quality data is improved, and storage of redundant data is reduced.

The present invention relates to a plantation method of millettia speciosa champ, and belongs to the agriculture plantation field. The plantation method specifically comprises the following steps of selecting the land suitable for planting the millettia speciosa champ, applying base fertilizer prepared by mixing self-made farm manure, plant ashes and quicklime according to a certain ratio, and plowing and bedding, wherein the self-made farm manure is prepared by mixing millettia speciosa champ litters, corn stalks, wheat straws, coconut shells and soybean meal with pig, cattle and sheep manure and night soil; then selecting millettia speciosa champ seedlings, transplanting the millettia speciosa champ seedlings in the land, and covering a membrane; and fertilizing once a year, timely cutting tails and cutting flowers, paying attention to insect disease prevention, and harvesting the millettia speciosa champ after cultivating the millettia speciosa champ for three years. The plantation method is simple in operation and high in practicality, and is suitable for large scale systematic breeding, diseases and pests can be reduced and prevented, the plant survival rate is high, growth speed is fast, and production cost is low.

The invention relates to a system and a method for automatically testing short messages of a mobile phone, which are used for automatically testing a mobile terminal. The system comprises three parts, namely a test mobile terminal, a test server sand an auxiliary mobile terminal, wherein the test server provides a test program and a download interface for the test mobile terminal, and configures addresses of the test mobile terminal and the auxiliary mobile terminal; the test mobile terminal downloads and operates the test program provided by the test server by being connected with a content server, and returns a test result to the test server after the test is finished; and the auxiliary mobile terminal is matched with a network control client in the test server to realize the function of automatically transmitting the short messages, and gets through a communication link of the whole system. The system and the method guarantee the completeness of the test by designing the test program during the test, realize automatic test because manual intervention is not required during the test, and greatly improve the completeness, the reliability and the efficiency of the test.

The invention discloses an automobile wire control dynamic control system for automatic driving and intelligent auxiliary driving and a control method of the automobile wire control dynamic control system. According to the automobile wire control dynamic control system, a driver operation signal, a vehicle state signal and a brake instruction are obtained under various driving modes such as manual driving, automatic driving, intelligent auxiliary driving and the like of a driver, then through the judgment, the operation and the decision of the braking conditions, the braking modes and the braking state judgment module, the target braking force instructions of the wheels are obtained under each braking state and the braking mode, and finally the target braking force instructions of the wheels are sent to a braking execution mechanism controller through a vehicle-mounted bus. The automobile wire control dynamic control system is high in universality and flexibility, not only can be used for a traditional automobile, but also can be used for a new energy automobile, not only can be used for an electro-hydraulic braking system, but also can be used for an electronic mechanical braking system.

The invention provides an automatically adjusted press roll type banana stalk presser, and relates to the field of agricultural mechanical equipment, in particular to a banana stalk pressing device. The automatically adjusted press roll type banana stalk presser comprises a feeding and conveying device, a feeding and conveying device baffle plate, a control box, an upper rack baffle plate, a foot rack, a base, rack baffle plates, a feeding opening, a discharging groove, a rack connecting rod and a supporting rod, and is characterized in that electro-optical banana stalk diameter recognizing systems are arranged on the feeding and conveying device baffle plate and the rack baffle plates; pressing mechanisms are arranged on the rack baffle plates on the left side and the right side through bearing blocks, guide tracks and lead screws; the upper rack baffle plate is provided with an upper pressing roller adjusting system; the upper pressing roller adjusting system is connected with the pressing mechanisms through lead screws; and a motor is arranged in the base and is connected with the pressing mechanisms through chain transmission mechanisms. The automatically adjusted press roll type banana stalk presser has the advantages of novel structure, convenience in operation, high safety and reliability, energy conservation and emission reduction, environmental protection, high economical efficiency and the like, and is high in economical efficiency and high in practicality.

The invention discloses an automobile driving recording system, which comprises a field programmable gate array (FPGA) image preprocessing unit and a digital signal processor (DSP) main processing unit connected with the FPGA image preprocessing unit and is characterized in that the FPGA image preprocessing unit is connected with a four-way video buffer and a video converter module, and the video converter module is connected with a four-way video input module. The DSP main processing unit is connected with a storage module and four-way alarm signals, and the FPGA image preprocessing unit sequentially transmits the processed four-way video signals to the DSP main processing unit for processing. The automobile driving recording system adopts the front-loading technology, feedbacks conditions of automobiles by utilizing active safety systems of the automobiles and controller area network (CAN) bus signals, and receives the signals timely, effectively and reliably for storage processing of data. The automobile driving recording system adopts a secondary storing mechanism, can store video information of a large amount in abnormal conditions under the condition that continuous 10 hours of original video is reserved and full reliability of the video is added, and greatly ensures completeness of the data.

The invention discloses an automatic milling fluttering alarming threshold value setting method based on the 3 sigma rule. The method comprises the steps that firstly, the state information in the milling process is obtained; secondly, forced vibration frequency filtering is conducted on signals, and fluttering sensitive frequency band filtering is conducted on the signals; thirdly, the obtained signals are subjected to feature extraction, and fluttering identification indexes are selected according to needs and calculated; fourthly, the indexes are subjected to the normal distribution check through the normal distribution ration assuming checking method; fifthly, after the normal distribution check, the threshold value section [mu-3 sigma, mu+3 sigma] is set according to the 3 sigma rule, wherein mu is the average value of the fluttering indexes, and the sigma is the standard deviation of the fluttering indexes; and sixthly, fluttering identification is conducted, and the time when continuous three points of the fluttering identification indexes exceed the threshold value section serves as the fluttering alarming time. The reliability of milling fluttering identification is high, and the misdiagnosis rate and the diagnosis missing rate are reduced.

The invention relates to a drug use information processing method using drug use rule information. The method comprises the steps of selecting a drug use rule set from a reasonable drug use rule information bank, wherein the drug use rule set comprises drug use rule information; invoking all the drug use rule information in the drug use rule set to form a personalized drug use rule set; receiving prescription information, and extracting drug use information from the prescription information; judging whether the drug use information conforms to the drug use rule information in the personalized drug use rule set or not; outputting the drug use rule information which the drug use information does not conform to when the drug use information does not conform to the drug use rule information in the personalized drug use rule set. According to the drug use information processing method utilizing the drug use rule information, the reasonable drug use rule information bank which is abundant in content is depended on, computer software is utilized to conduct investigation on the drug use information in a prescription, and thus completeness, accuracy and uniformity of a drug use reasonable investigation are guaranteed.

The invention discloses an automobile high beam identification system and method based on video deep learning. The system comprises a foreground part and a background part. The foreground part is used for realizing the identification and treatment of high beam violation behaviors and comprises a road monitoring equipment module, a video processing and identification module, an identification result processing module and a database of violation results to be detected which are orderly connected. The background part is used for processing a video and realizing the deep learning of the video and comprises a key frame extraction algorithm, a database with labels and a deep learning module. The database with the labels is obtained through calling the key frame extraction algorithm to carry out key frame extraction on original video data. The data in the database with the labels is used for training the deep learning module. The trained deep learning module and the key frame extraction algorithm are called by the video processing and identification module. According to the system and the method, a monitoring video is automatically analyzed and identified, the completeness of a law enforcement evidence is ensured, and the system and the method are similar to manual judgment and are intelligent.

The present invention discloses a method and system of granary grain storage volume measurement. The method comprises a step of (S1) obtaining at least one point cloud image obtained by scanning at different position in a granary, (S2) carrying out image registration on the point cloud image so as to obtain a target point cloud image, and (S3) calculating the first volume occupied by the target point cloud image and a difference between a second volume of the granary in an empty state obtained in advance and the first volume so as to obtain the grain storage volume in the granary. According to the method, through obtaining the point cloud images in the granary at different positions of the granary such as each corner and carrying out image registration and connection of all obtained point cloud images, a uniform point cloud image in the granary is obtained, and thus the grain storage volume in the granary is calculated. The completion of the images in the granary is ensured by obtaining uniform point cloud images, the precision of measurement is improved, and the grain storage volume of the granary especially a large volume granary can be rapidly and accurately calculated.

The method comprises: a) net element device creates log file and tags the log file as current log file; b) the net element records the log message into the current log files; when the log file is overwritten, it is saved, and the saved log file is tagged as a historical log file; meanwhile building a new log file, which is taken as a current file; c) building a connection in mass data transmission protocol between the net element and network manager, and by said connection the network manager gets the historical log file saved in the net element device.

The invention discloses a determination method for iron, aluminum, manganese, calcium, titanium, silicon and magnesium in casting powder. The method comprises the following steps: melting a test sample, which is subjected to pre-carbon removal treatment, with a sodium carbonate-boric acid mixed flux; dissolving a leached and cooled melted block with hydrochloric acid and heating at low temperature to decompose the melted block; diluting to a specified volume; taking one part of the solution, atomizing the solution and introducing the atomized solution into an inductive coupling plasma optical emission spectrometer; measuring relative intensity of an element to be detected in the solution to a yttrium internal standard element at a selected wavelength; calculating the mass percent of each element to be detected according to a calibration curve manufactured by a standard solution. The determination method provided by the invention is an ICP (Inductively Coupled Plasma) light spectrum method and the content of various components in the casting powder is determined in one step; the determination method has an accurate and reliable measured result and is simple to operate; the dosage of reagents is greatly reduced and the analysis speed is improved by 70 percent or more, so that a determination period is greatly shortened, and comprehensive utilization of the casting powder and requirements of actual working in a production field are met.

The invention discloses an advertising information issuing method and system and a service platform thereof. The advertising information issuing method comprises the following steps: the service platform acquires position information and user information of a request end; the service platform searches relevant advertising information from an advertising data center at least based on the position information; and the service platform acquires relevant advertising contents from an issuing party database of the advertising information based on the user information and transmits the relevant advertising contents to the receiving end. According to the invention, the advertising information can be issued in a more specific way, and the user experience is improved.

The invention discloses an advertisement click recording method and system based on a block chain. The method comprises the following step: a block chain node server analyzes user click data sent by aclient when receiving a request sent by the client, and extracts a user identification code and an advertisement identification code; the block chain node server sends the request to a database server according to the user identification code so as to acquire the user information; the block chain node server sends the request to the database server according to the advertisement identification code so as to acquire the advertisement information; the block chain node server combines the user information, the advertisement information and the click time and takes the same as the advertisement click data and the block chain node server summarizes all advertisement click data in the same time quantum, creates a block and writes into the block chain. The click behavior on the advertisement bythe user is recorded by using a tamper-resistant feature of the block chain, thereby guaranteeing the reality and completeness of the advertisement click record and effectively preventing full data leakage since the database server is broken through.

The invention relates to a dynamic web service selection method, and belongs to the technical field of network service, in particular to a QoS technology perception-based dynamic web service selection method. In the method, the dynamic web service selection is performed by adopting a paper tape model and a method which combines QoS technology and skyline in a database and using a specific dynamicservice selection algorithm. The method can greatly improve the efficiency of service selection and the completeness of a service selection result, and has a wide application prospect.

The invention provides an optical scanning sensor, which comprises a light source, a light casting unit, a light receiving unit, a light receiver, a deflection unit, a curved light transmission cover, a rotation unit, and an angle encoder, wherein the deflection unit comprises a reflector and a reflector support; the rotation unit comprises a hollow part and a driving element; the light casting unit comprises a basic light casting unit, and the basic light casting unit and the light receiving unit are a transmitting-receiving coaxial optical system and are located at the same side of the reflector, and light reflected by a target area and deflected by the reflector enters the light receiver through a through hole in the hollow part; and the reflector is fixed above the rotation unit through the reflector support and rotates for 360 DEG under driving of the driving element.

The invention discloses a device and a method for on-line detection of the content of ammonia nitrogen in seawater, and aims to detect the content of ammonia nitrogen of a seawater solution on the basis of a fluorescent spectrophotometer method. The device comprises a first three-way electromagnetic valve, a second three-way electromagnetic valve, a peristaltic pump, a mixing heating device, a fluorescent flowing cuvette, a light source, a light receiver and a signal processing system. With the combination of a flow injection technique and the fluorescent spectrophotometer method, the two three-way electromagnetic valves and the peristaltic pump are controlled to feed samples in sequence, on-line detection of the content of ammonia nitrogen in the seawater is achieved, and the device and the method are high in integration degree, simple to operate, single in mixed agent, short in reaction time and high in effectiveness. The mixing heating device is adopted to heat a seawater sample solution and an OPA mixed reagent which are pumped into a flowing channel, and the seawater sample solution and the OPA mixed reagent are sufficiently mixed in the heating process, so that mixing and heating are integrated, the reaction security is ensured while the size is reduced, and the accuracy of detection results can be improved.