54results about How to "To achieve the purpose of identification" patented technology

The invention relates to an environment DNA identification method for fish community structure researching. The method is characterized by comprising the steps that 1, water samples are collected according to the size of the water area where a fish community is located; 2, the water samples are processed, and total environment DNA of the processed water samples is extracted; 3, a 16s r DNA sequence with nucleotide sequences being SEQ ID NO:1 and SEQ ID NO:2 is adopted as a universal primer to carry out PCR amplification on the total environment DNA, and a PCR product is obtained; 4, gel electrophoresis is carried out on the PCR product, and gel with DNA is obtained; 5, gel cutting and clone sequencing are carried out on the gel with the DNA, and then blast comparison is carried out through GENBANK so as to determine whether the DNA is a fish sequence or not; 6, after it is determined that the DNA is the fish sequence, the next-generation sequencing technology is adopted for analyzing composition conditions of the PCR product on a large scale, and therefore the environment DNA fish composition and community structure are determined. The environment DNA identification method is quite easy, convenient and efficient and has the practical value.

The invention relates to an intelligent video monitoring method for tracking identification, which is realized by the following steps: (1) when a video monitoring system is triggered, triggering a pseudo base station to start work, establishing a pseudo cell for covering a monitored area, communicating with a mobile phone which enters the area, extracting identity information of the mobile phone, and storing the identity information in a background; and (2) comparing background data, judging whether to track, and triggering the video monitoring system to process the data if the tracking is needed. The method has the advantages that the method has the functions of extracting, storing and inquiring the IMSI information of the mobile phone of a user in the monitored area, achieves the aim of identification, and simultaneously carries out video tracking for the mobile phone which enters the monitored area according to the preset IMSI information of the mobile phone needing to be tracked.

The invention discloses a malicious webpage identification method, which comprises the following steps: 1, acquiring the data set of a malicious webpage, and acquiring the training set and the test set of the malicious webpage through data preprocessing; 2, acquiring the character-level embedding of the training set and the test set by using a Char-CNN model; 3, constructing a BiLSTM-Attention neural network model; 4, training the BiLSTM-Attention neural network model constructed in the step 3 by utilizing the training set and the character-level embedding thereof, and static word embedding; 5, verifying the BiLSTM-Attention neural network model trained in the step 4 by utilizing the test set and the character-level embedding thereof, and static word embedding; and 6, after the verification in the step 5, performing malicious webpage identification on the webpage data accessed by a user by using the trained BiLSTM-Attention neural network model. According to the method, a bidirectionallong-short-term memory recurrent neural network based on an attention mechanism is adopted while a method of combining character-level embedding and static word embedding is also used, so that the purpose of malicious webpage identification is achieved.

A sensor instrument system and a method for detecting and identifying analytes in fluids of a region comprising a local sensor instrument and remote central station are disclosed. The instrument is comprised of a core technology employing a single sensor having two electrodes operated by an electrical frequency sweeping to generate two sets of patterned electrical information from a single measurement, a data transmission module and a GPS receiver module. The central station connects to a network means connected to a plurality of local receiving sites equipped with including the respective transceivers, so that the local analyte electrical information and geographic position information transmitted by the instrument can be wirelessly and remotely received and processed by the central station. The core technology is further comprised of a reference sensor for eliminating background influence, a temperature programming to control adsorption and desorption of analytes, and usage of all kinds of adsorbent materials having chemical selectivity including the hydrogen selectivity to enhance detection and identification of analytes in fluids.

The invention discloses a many-people abnormal behavior identification method based on a human body shape characteristic. The method comprises the following steps of rapidly carrying out target human body detection, using a lot of pedestrian sample gradient information to make a series of target human body detection filters so as to acquire a pedestrian detector of a group of filters, calculating a characteristic channel of an image to be detected, using the detector to calculate a characteristic response on each channel, and finally using an Adaboost classifier to acquire a final target human body position; using the human body shape characteristic and prior information of the acquired human body position, constructing an initial human body appearance model, and adopting an appearance transmission mechanism; using a Hoff shape characteristic extraction algorithm to extract a characteristic of each part of a human body from the appearance model and matching with an abnormal behavior sample database so as to acquire a final identification result. By using the method provided in the invention, under the condition that a background environment and a camera position are not certain, position calibration of many people can be realized and final abnormal behavior identification are realized too.

The invention provides a method for identifying the honey of Apis cerana and the honey of Apis mellifera. The method achieves the purpose of identifying the two kinds of honey based on the differenceof alkane components in the two kinds of honey. Honey samples are extracted with petroleum ether and then detected via gas chromatography-mass spectrometry; and detection results show that the alkanecomponents of the honey of Apis cerana and the honey of Apis mellifera are different, the honey of Apis cerana contains C37 alkanes, and the honey of Apis mellifera contains C31 alkanes. It is confirmed that the component difference is only related to bee species after detection and analysis of a large number of samples, and the influence of plant sources on identification is excluded. The differential alkane components are stable in honey and are not affected by concentration processing and shelf life. The method of the invention is reasonable in design, convenient, quick and accurate in identification, and is applicable to both the identification of the sources of raw honey and commercial bee species and the identification of the honey of Apis cerana blended with a certain proportion ofthe honey of Apis mellifera.

The invention provides a personal computer having the function of confirming the identity by handwriting identification and a method for realizing the function, and belongs to the field of electric equipment. The invention relates to technology for realizing encryption and decryption of the personal computer by the handwriting identification and a realization method matched with the technology. The computer comprises a handwriting input structure, a handwriting identification module and a handwriting identification authority management module. By utilizing the handwriting input structure, the personal computer can effectively identify the identity of the user in the mode of inputting the personal handwriting, so as to determine the operational authority of the user in the computer; and the user does not need to memorize the password, the privacy and safety of information in the computer are effectively ensured, and enormous values are brought to the user.

The invention provides a modulating signal recognition method based on a complexity feature under low signal to noise ratio. The method comprises the following steps: extracting multi-fractal dimension features of different communication modulating signals, protruding features of different probability points in a time signal sequence so as to extract the features of different communication modulating signal types; furthermore, grouping pre-processed discrete-time signal sequences so as to simplify the computation of the multi-fractal dimension on the one hand, and translate the long time signal sequence into small sequence sections to observe and compute on the other hand, thereby performing small-range feature expression on the signal, and extracting the feature of the signal in a more refined manner; moreover, performing grey correlation processing on the extracted multi-fractal dimension feature of the unknown communication modulating signal and the computed multi-fractal dimension feature of the known communication modulating signal in a database, selecting the modulating type of the signal with large correlation degree as the modulating type of the unknown communication modulating signal, and then realizing the classification recognition of the modulating type.

The invention relates to the technical field of speech semantics, and discloses a wrong sentence detection method. The detection method includes the steps that a target sentence is obtained; i words included by the target sentence are identified; the i words are successively input into a pre-trained language model according to the order in the target sentence, and the confusion degree and / or logarithmic likelihood probability of the target sentence are / is calculated by the language model; and when the confusion degree of the target sentence is greater than the preset confusion degree and / or the logarithmic likelihood probability of the target sentence is less than the preset logarithmic likelihood probability, it is judged that the target sentence is a wrong sentence. The invention furtherprovides a wrong sentence detection device and a computer readable storage medium. According to the wrong sentence detection method and device, and the computer readable storage medium, whether a sentence is the wrong sentence or not can be identified.

The invention provides a method and a device for recognizing native eggs based on machine vision technology. At first, an egg to be tested is photographed, and the egg shape index, the gray value information entropy and the eggshell surface impurity level of the egg to be tested are calculated according to the photograph, , and then egg shape index, gray value information entropy, and eggshell surface impurity level of the egg to be tested are respectively compared with a reference index range, a reference information entropy, and a reference miscellaneous quality step by step, so as to identify the egg to be tested and judge whether the egg is a native egg or not. The egg shape index, the information entropy of gray value and the impurity level of eggshell surface are obtained by machinevision technology, and then compared with the reference value, the native egg can be recognized quickly and the cost of artificial recognition can be greatly reduced. The purpose of recognition can berealized more effectively and the recognition is more accurate by comparing the characteristics of the egg to be tested.

The invention provides an identity authentication method and device and a computer readable storage medium. The identity authentication method is characterized in that a terminal obtains identity information in a chip when receiving an identity authentication instruction triggered by user operation, and sends the identity information to a server; the server judges whether the identity informationis legal identity information according to preset rules when receiving the identity information; and the server feeds authentication pass information back to the terminal when judging that the identity information is the legal identity information. Through the method above, jewelry identity information is stored in the chip, and then, the terminal obtains the identity information and sends the identity information to the server for jewelry identity authentication, thereby realizing a purpose of online jewelry authentication and simplifying jewelry authentication process and reducing jewelry identity difficulty.

The invention discloses a method for distinguishing geographical indications of rice. On the basis of an ICP-MS (inductively coupled plasma mass spectrometry) process for simultaneously determining 24 mineral elements, stoichiometry is combined by using the mineral element contents as the indexes to establish a model for distinguishing the producing area of rice, thereby achieving the goal of distinguishing the producing area. The method is simple to operate, and has the advantages of stable mineral element fingerprint characteristics and multiple indexes for tracing detection, thereby enhancing the distinguishing precision.

The invention belongs to the technical field of identification of source varieties of traditional Chinese medicinal materials, and relates to a method for identifying honeysuckle and lonicerae flos byutilizing high performance liquid chromatography and liquid chromatography-mass spectrometry. With the adoption of the method, when the test sample is one or two of honeysuckle or lonicerae flos, theweight percentage of the sessile nux vomica acid and the chlorogenic acid in the dried test sample is detected through high performance liquid chromatography, and the ratio of the weight percentage of the chlorogenic acid to the weight percentage of the sessile nux vomica acid is calculated; the weight percentage of dipsacus asperoside B is detected in the dry test sample through liquid chromatography-mass spectrometry. Each honeysuckle is identified by utilizing the weight percentage ratio of chlorogenic acid to sessile strychnolic acid and the weight percentage of dipsacus asperoside B. Themethod is not limited by test sample properties, can be used for identifying single medicinal materials of honeysuckle and lonicerae flos or a mixture of the honeysuckle and the lonicerae flos, can also be used for identifying the single medicinal materials of the honeysuckle and the lonicerae flos or the mixture of the honeysuckle and the lonicerae flos in Chinese patent medicines, effectively improves the identification accuracy, and provides a true and false identification basis for medicine production, circulation and use.

The invention provides a hand-held terminal for starting-up encryption and decryption by utilizing handwriting identification and an implementing method thereof, and belongs to the field of electronic equipment. The hand-held terminal comprises a hand-held terminal control unit, a handwriting input structure, a handwriting identification module, a handwriting identification right management module and a starting-up encryption module. By utilizing the handwriting input structure, a user can effectively fulfill the aim of identifying the identity in a mode of putting personal handwriting in the hand-held terminal, so that a right of the user for entering the hand-held terminal to perform content operation is determined; and the user does not need remembering a password, the privacy and the safety of the data information of the hand-held terminal can be effectively ensured, and great value is brought to the user.

The invention discloses DNA tags, a PCR primer and application thereof. The DNA tags of one group are chosen from nucleotides shown as in SEQ ID NO:1-95 and can be used for building a nucleic acid sequencing library to accurately differentiate the nucleic acid sequencing library. The DNA tags and the PCR primer are utilized to build a tagged PCR primer, and by utilizing the tagged PCR primer, STR detection of at most 95 DNA samples can be realized at one step according to a method for determining preset STR gene locus genotype of various DNA samples.

The invention relates to the fields of molecular biology and genetic breeding and in particular relates to a potato low-temperature sweetening resistant molecular marker and application thereof. Potato low-temperature sweetening resistant molecular marker combination is any one or more of nucleotide sequences S3001-S3004; upstream and downstream primer sequences of the nucleotide sequences S3001-S3004 are shown in SEQ ID No.1-8. The potato low-temperature sweetening resistant molecular marker combination provided by the invention has the beneficial effects that related molecular marker polymorphic analysis and low temperature reducing sugar content determination are carried out on varieties (lines) with different low-temperature sweetening resistant capacities, correlation between the molecular marker and low-temperature sweetening resistance is analyzed, screening is carried out for obtaining a molecular maker combination used for establishing a low-temperature sweetening resistant breeding molecular marker-assisted selection system, the molecular maker combination has relatively high accuracy on low-temperature sweetening resistant potato genotype screening, and technical support is provided for identification of a potato low-temperature sweetening resistant strain and low-temperature sweetening resistant breeding.

The invention relates to a pipe column recognition and collar positioning device and method for an iron roughneck. The device is structurally characterized in that a displacement sensing part consistsof a displacement sensor and a magnetic ring, and a mounting assembly is formed by assembling of a front cover, two cover plates, two side plates and a rear cover; the displacement sensor is mountedon the rear cover, the magnetic ring is mounted at the rear end of a sleeve of a slide assembly, the sleeve of the slide assembly penetrates a front cover mounting hole, a spring is mounted between the front cover and the rear cover, and the sleeve and a measuring rod of the displacement sensor are both inserted into the sleeve; the measuring rod of the displacement sensor senses the position of the magnetic ring to determine displacement change of the slide assembly relative to the mounting assembly. In use of the device, the mounting assembly is mounted at the bottom of a clamp of the iron roughneck, and the device extends towards a station positioning position along with a jaw of the iron roughneck to realize pipe column recognition. In a process of extending of the device along with the iron roughneck and lifting, pipe column recognition and collar end face positioning are realized.

The invention provides a multi-feature-fused controlling method for recognizing Chinese organization name in a natural language processing system. The method is characterized by comprising the following steps of: a. recognizing left and right boundaries of a statement to be recognized according to a right boundary feature word library of a Chinese organization name and a left boundary rule of the Chinese organization name, and generating candidate Chinese organization names; b. determining a composing mode of candidate Chinese organization names, and screening the candidate Chinese organization names; and c. comparing feature words in a context semantics environment of the Chinese organization names, and verifying the candidate Chinese organization names so as to determine the Chinese organization names.

The invention relates to a painting pigment identification system based on multispectral imaging and a method thereof. The system comprises an illumination light source, a band-pass filter group and acamera, the band-pass filter group is composed of several optical filters corresponding to different spectrum segments, the camera is connected with an image processing unit, the illumination light source is used for emitting the illumination light to a to-be-measured paint, and the light reflected by the to-be-measured paint passes through the optical filters and then penetrates into the camera.The technical problems of intervention type, damage, and low efficiency existed in the current painting pigment identification methods based on chemical analysis or based on substance interaction effect can be solved. The identification system and the method have the advantages of high spatial resolution, high precision, non contacting, and no damage.

The invention discloses an identity recognition method, device and system. The method comprises: acquiring voiceprint features and a first timestamp of a target object, wherein the first timestamp isused for representing the time when the voiceprint features are acquired; obtaining a pre-stored voiceprint feature successfully matched with the voiceprint feature and a second timestamp from a voiceprint library, the second timestamp being used for representing the time when the pre-stored voiceprint feature is obtained; determining a similarity threshold based on the first timestamp and the second timestamp; and obtaining a recognition result of the target object based on the similarity threshold and the similarity between the voiceprint features and the pre-stored voiceprint features. According to the invention, the technical problem of low identification accuracy of an identity identification method in the prior art is solved.

The invention discloses a mixed oil identification method based on a three-dimensional fluorescence spectrum and a Tchebichef moment. Firstly, the three-dimensional fluorescence spectral data (EEM) ofthe sample library are obtained by a fluorescence spectrometer, an EEM grayscale image is obtained by grayscale processing, and the shape feature of EEM grayscale image is extracted by Tchebichef moments, and the Tchebichef moments feature database of sample library is established. Then, the EEM of the sample to be measured is obtained, and the gray image of the EEM of the sample to be measured is obtained, and the Tchebichef moment characteristic data of the sample to be measured is obtained. Finally, all the Tchebichef moment characteristic data are processed by clustering analysis, and thequalitative results of the mixed oil are obtained. According to the qualitative results, the sample which belongs to the mixed oil is treated by stepwise regression, and the quantitative results of the mixed oil are obtained. The purpose of identifying the mixed oil is achieved.

The invention provides a face recognition method. The face recognition method comprises the following main steps: acquiring original image data shot by an infrared camera and an RGB camera, wherein the original image data is composed of shot image data of a face of a living body, and performing brightness adjustment on a shot image through image preprocessing; extracting a feature face of the faceby adoption of a PCA principal component analysis method so as to form a feature face matrix, carry out image data detection, carrying out synchronous processing on the image shot by the infrared camera and the RGB camera, carrying out feature contour positioning on the face by adoption of a feature point extraction algorithm, and carrying out face extraction by using a modulo mode; and calculating the Euler distance between a single-time feature face and the feature face in a face library by detecting the single-time face feature, comparing the single-time feature face with the feature facein the face library, and if the Euler distance is smaller than a threshold value, judging that face recognition succeeds. According to the invention, image preprocessing and pre-extraction are carriedout on the actual environment, so the function of increasing the recognition distance and the recognition rate is actually achieved.

The embodiment of the invention discloses a target point cloud identification method and device, equipment and a storage medium. The method comprises the steps of obtaining single-frame point cloud data used for constructing a map; dividing the single-frame point cloud data for constructing the map into ground point cloud data and non-ground point cloud data; and determining the point cloud data of a to-be-identified target from the non-ground point cloud data according to the feature attributes of the to-be-identified target. Through the technical scheme of the embodiment of the invention, the purpose of identifying the target point cloud is achieved.

The invention discloses an intelligent service terminal in a train carriage, which comprises an intelligent service device main body and a mainboard, wherein a camera device is arranged on the front surface of the intelligent service device main body; and a wireless charging auxiliary coil is fixedly connected to the back surface of the intelligent service device body. Through the arrangement of the intelligent service device main body, the camera device, the wireless charging auxiliary coil, a broadcasting device, a transmission device, an installation structure, a mainboard, a power supply and a voice interactive system, the terminal not only can overcome the actual situation that a prior train carriage lacks an intelligent service terminal, improves the service efficiency and real-timeperformance on the train, but also solves the problems of high relative work cost, low efficiency and multiple repeated work when the prior train manages and communicates passengers through manual service and train staffs; and the intelligent service terminal has the advantages of intelligently checking and identifying tickets, monitoring the behaviors of passengers and communicating with the passengers, and is worthy of popularization.

The invention relates to a detection method of a yupingfeng oral liquid. A thin layer chromatography is adopted, the same sample pretreatment method and the same chromatographic condition are used, and astragali radix and saposhnidoviae radix in a yupingfeng oral liquid prescription are simultaneously identified on the same thin layer plate. The method of identifying the astragali radix and the saposhnidoviae radix by the thin layer chromatography comprises the steps of (1) test solution preparation, (2) reference solution preparation, and (3) thin layer chromatography conditions and result. According to the detection method, the quality standard of the yupingfeng oral liquid is improved and perfected, and the identification of the saposhnidoviae radix is revised from a high performance liquid chromatography to a thin layer identification method, so that the identification time is greatly shortened, and the detection cost is lowered. Compared with a method in the prior art, the detection method is simpler, more convenient, rapider and more economical; the quality is easier to control; and the detection method is more suitable for industrial production.

The invention discloses an active sonar identity reorganization method based on a watermark. The active sonar identity reorganization method based on the watermark is different from existing active sonar identity reorganization methods which are achieved through the inherent features of active sonar detection signals. According to the active sonar identity reorganization method based on the watermark, the digital watermark is embedded into a detection signal sent by active sonar by a sender, and a receiver recognizes the identity of the signal by detecting whether the received signal contains watermark information; specifically, part of DCT coefficients in an original signal are modified by generating a watermark sequence at the sending end, whether the watermark is contained is determined at the receiving end by calculating the relevance between a watermark template and the received signal, and thus the identity of the sonar signal is recognized. Compared with existing methods, the active sonar identity reorganization method based on the watermark has the advantages of being more flexible, higher in controllability and better in reorganization effect.

The embodiment of the invention discloses an E-mail identification method, device and system. The method comprises: after receiving an E-mail, extracting E-mail attribute information, such as a sending subject, a sending address, a sending server identification, etc.; obtaining the user credibility corresponding to the sending address; and determining the type of the E-mail according to the attribute information and the user credibility. The scheme can reduce the possibility of error identification and omission, and improve identification accuracy and security.

The invention discloses a tartary buckwheat extract identification method. The method can be used to separate five flavonoid components in a tartary buckwheat extract through the same high performanceliquid chromatography condition, and effectively determine the content of characteristic peaks quercetin-3-rutinoside 7-glucoside and rutin in the tartary buckwheat extract, so as to achieve the purpose of tartary buckwheat extract product identification.

The invention belongs to the technical field of biologics and in particular discloses an InDel marker for analyzing genetic diversity and identifying varieties of rice, a locus of the InDel marker inrice, a primer for acquiring the InDel marker, and related application. The InDel marker is good in universality and needs no large-size equipment or instrument; by adopting the InDel marker disclosedby the invention, genotypes of varieties to be tested and genetic differences of varieties can be precisely distinguished, and differences of loci in very close genetic distances can be also distinguished; and after a primer of one locus is designed, a plurality of individuals of the locus can be specifically studied, and the cost can be very well controlled.