106results about How to "Achieve distinction" patented technology

The invention discloses a left object and lost object real-time detection method based on an embedded system. The left object and lost object real-time detection method based on the embedded system comprises the following steps of obtaining video data, extracting a suspicious static target object area on the basis of backgrounds of images, to be detected, of long-and-short period Gaussian mixture model learning video data, and obtaining a target foreground binary image; carrying out accumulation timekeeping on the retention time of the suspicious static target object area according to the target foreground binary image, carrying out triggering to give an alarm if the retention time exceeds a preset threshold in a preset alarm time, and marking size dimension information and specific position information of a suspicious static target object on an original image; determining whether the suspicious static target object area contains a detected target or not through analysis of the shaking conditions of the edge of the suspicious static target object area, and finally obtaining a rectangular target area; distinguishing a left object and a lost object in the rectangular target area containing the detected target, and giving an alarm. The left object and lost object real-time detection method based on the embedded system is low in operation overhead, can be implemented in an embedded SOC leading end, and the requirement for real-time detection can be met.

The invention discloses a deception jamming signal detection method based on a single receiver. The method comprises steps: the position of a satellite after correction under an ECEF coordinate systemis acquired, satellite clock offset correction, ionosphere delay correction and troposphere delay correction are used to correct a measured pseudo range to obtain a pseudo range after correction, a least square method is used for iterative solution, the first position of a carrier under the ECEF coordinate system is obtained, and based on a pseudo range double difference model of the satellite, Taylor's approximation is carried out for iterative solution to obtain the second position of the carrier under the ECEF coordinate system; and according to whether the position offset between the first position and the second position is larger than a preset threshold, whether the currently-received signals are the deception jamming signals is judged. The detection is realized by only requiring the single receiver or a single antenna and the pseudo range measurement information, requirements on equipment are low, the algorithm is simple and efficient, the realization process is simple, and themethod is applicable to generation-type deception jamming and forward-type deception jamming.

The invention discloses an online particle detection device and method based on a microfluidic chip. The online particle detection device comprises the microfluidic chip, a first impedance analyzer and a second impedance analyzer, wherein the microfluidic chip comprises a substrate part and a main chip body arranged on the substrate part; the main chip body comprises a first liquid inlet, a second liquid inlet, a first liquid outlet and a second liquid outlet formed in the substrate part, a particle separation region for separating ferromagnetic particles from non-ferromagnetic particles in oil liquid under the action of a magnetic field, a magnetic part placement region arranged on the substrate plate and located on one side of a first microchannel, a magnetic part placed on the magnetic part placement region and used for providing the magnetic field, and a particle detection region. The online particle detection device and method provided by the invention can realize the distinguishing and the online continuous counting of the ferromagnetic particles and the non-ferromagnetic particles in the oil liquid, and is suitable for online detection and analysis of oil liquid, in particular the detection and analysis of oil liquid on sailing ships.

The invention discloses a coin classification mechanism, comprising a receiving tray and a plurality of classification tracks, wherein the receiving tray is used for receiving coins entering the coin classification mechanism and provided with an outlet through which coins slip out; the classification tracks approach the front end of the receiving tray and leave the rear end of the receiving tray, the classification tracks are used for receiving coins slipping out from the outlet and guiding the coins to move from the front end to the rear end, a plurality of through holes through which coins fall are formed in the inner wall of each classification track, the through holes are arranged in the length direction of the classification track, the through holes are gradually enlarged from the front end to the rear end, and coins with one size fall from one through hole. The coin classification mechanism is provided with a plurality of classification tracks, and a plurality of coins can slip in one classification track, so that the classification efficiency and the classification speed are improved, and the coin classification mechanism is suitable for processing a large amount of coins.

The invention discloses a multi-language text automatic broadcast method and system. According to the method, language identification is performed on a multi-language text to be broadcasted, and text fields corresponding to multiple languages are respectively acquired; the start and end points of each text field are respectively identified so as to obtain language identifiers; and the corresponding sound broadcast type of each language is correspondingly called according to the language identifiers, and all the text fields are broadcasted in turn. The system is provided with a character identification module and a voice broadcast module. The method and the system are intelligent and flexible so that rapid and accurate automatic identification and broadcasting of the multi-language text can be realized, and the situation of omitting language information in identifying the multi-language text can be avoided.

The invention discloses a digital book layout analysis method. The digital book layout analysis method based on region segmentation is essentially a method for storing image segmentation and region classification in a JEPG or TIF format. The method is characterized by, to begin with, extracting image edges and carrying out over-segmentation region basic merging through a morphological algorithm and with a Gabor linear filter being combined to realize segmentation of a book region; then, carrying out region filling and ordering on segmented image blocks to reconstruct a reading order; and finally, carrying out feature extraction on an image region, and training a classifier to obtain attributes of each region, thereby realizing book region separation and improving identification correctness of an OCR engine and accuracy of book query.

The invention belongs to the field of aircrafts, and discloses an ice crystal detector probe and a complex icing condition detector. The ice crystal detector probe comprises a first section and a second section arranged in sequence from top to bottom; the first section and the second section are in smooth connection; the outer surface of the first section is in a shape suitable for separating liquid droplets from ice crystals in airflow and bearing impact of the ice crystals; a heating device and a plurality of fine particle impact sensors are installed inside the first section; and the second section is a heat insulation layer so as to avoid heat exchange between the first section and external probe installation equipment. The complex icing condition detector comprises the ice crystal detector probe and an icing detector probe. Liquid water in airflow does not generate obvious impact on the windward side of the probe, the ice crystals generate pulse impact on the windward side of the icing detector probe, and therefore the ice crystals and the liquid water droplets are distinguished and accurate detection of icing of the ice crystals can be achieved.

The invention discloses a lotus seedpod target image recognition method for a picking robot. The method includes the steps of designing a super green Gaussian filter through the method that image Gaussian filtering and the super green index method are combined, and removing the complex background; separating and cutting the overlapped portion of an image with the overlapping phenomenon through the improved morphology watershed segmentation algorithm; improving the Hu invariant moment algorithm, calculating invariant moments an of lotus seedpods, lotus leaves, lotuses and stems, conducting linear combination on the calculated n orders of invariant moments, and obtaining invariant moment principle components zm representing different shape characteristics of the lotus seedpods, the lotus leaves, the lotuses and the stems; conducting image target recognition, wherein the invariant moment principle components zm of images of the lotus seedpods, the lotus leaves, the lotuses and the stems are classified through the K-Means clustering algorithm. The connected components, closest to the lotus seedpod clustering center, of the principle components are the lotus seedpods. By means of the method, the lotus seedpods, the lotus leaves, the lotuses and the stems can be effectively distinguished and recognized, and the method is the core algorithm technology of a vision system of the lotus seedpod picking robot.

The invention provides a TCP protocol based OpenStack flow collection method. The TCP protocol based OpenStack flow collection method specifically comprises the steps of setting a collection probe, acollection management center and a collection receiver; deploying the collection probe at a network node or a computing node of OpenStack; deploying the collection management center and the collectionreceiver on another physical device or a virtual machine; and performing mirror image management on a to-be-collected flow by the collecting probe, packaging the collected data packets of a local virtual port, service information and timestamp information again to form a result data packet and sending the result data package to a corresponding flow analysis application through the TCP protocol. Compared with the prior art, the TCP protocol based OpenStack flow collection method is convenient for distinguishing a vertical machine, a virtual network or a service which the collected flow belongs, and can select the flow of a mirror image virtual machine, the external flow of the virtual network and the flow of the virtual router for a public network freely and conveniently.

The invention discloses a multicast message transmission method and a provider edge device (PE). The method comprises the following steps that: receiving a private network multicast message which needs to be performed multicast transmission in multicast virtual private network (MVPN) by the PE; determining whether the received private network multicast message is a private network multicast protocol message or a private network multicast data message; when the private network multicast message is determined to be the private network multicast protocol message, carrying out multicast transmission to the private network multicast protocol message on a public network through a first multicast distribution tree of a multicast group corresponding o the MVPN; when the private network multicast message is determined to be the private network multicast data message, carrying out multicast transmission to the private network multicast data message on the public network through a second multicast distribution tree of the multicast group corresponding o the MVPN. By using a scheme provided by embodiments of the invention, when the private network multicast message, which is packaged as the public network multicast message, is transmitted on the public network, distinguish between the private network multicast protocol message and the private network multicast data message can be realized.

The embodiment of the invention provides an information processing method and device. The method and the device are applied to a first communication terminal. The method comprises the steps that based on a communication data channel built between the first communication terminal and a second communication terminal, voice data and communication identification transmitted by the second communication terminal are obtained; whether the communication identification of the second communication terminal exists in a communication identification set is judged; when no communication identification of the second communication terminal is searched in the communication identification set, the voice pattern feature of the voice data is recognized; whether the voice pattern feature of the voice data exists in a voice pattern feature set is judged; when the voice pattern feature of the voice data is searched in the voice pattern feature set, the user identification corresponding to the voice pattern feature of the voice data is obtained; the corresponding relation between the user identification and the communication identification of the second communication terminal is set up, and a control instruction for saving the communication identification of the second communication terminal in the communication identification set is generated. According to the method and the device, the communication identification can be upgraded in time.

The invention discloses an intelligent routing selection method based on flow analysis and node trust degree, which belongs to the technical field of networks and is suitable for the situation that a plurality of routings exist between an inlet router node and a target node and each routing only passes one intermediate node. The method comprises the steps of: implementing differentiation service among different businesses through business identification and marking, and then selecting a link with smaller load and higher trust degree through link flow prediction and the trust degree of an evaluation node. The method guarantees the safety at the same time of realizing load balance, thereby realizing the real-time, intelligent and dynamic routing.

The invention discloses a relative quantification method and kit for detecting the copy number of a human DMD gene through multiple real-time fluorescence PCR. The kit comprises an exon reaction solution I, an exon reaction solution II, an exon reaction solution III, a main reaction mixed solution, a positive reference substance, a negative reference substance and a blank reference substance. According to the relative quantification method and kit for detecting the copy number of the human DMD gene through the multiple real-time fluorescence PCR, the 4th, 17th and 45th exons, 8th, 50th and 52nd exons, 47th, 48th and 51st exons of the DMD gene are respectively amplified through three independent PCR reactions, and each of three reaction solutions comprises four fluorescence channels, so that the quantitative detection of the copy number of the 4th, 8th, 17th, 45th, 47th, 48th, 50th, 51st and 52nd exons of the DMD gene is realized.

The invention provides a new energy policy information extraction method and system. The method is characterized by processing a new energy policy into a new energy policy text in a set format; basedon a pre-established new energy policy feature dictionary library, using a punctuation symbol automatic identification sentence division method to perform sentence division and marking on the new energy policy text, outputting a division and marking result, and generating a text sentence library; and based on a unified service interface, generating key information of a new energy policy feature dictionary library and a text statement library according to the text statement and outputting the key information.

The invention relates to an amplifying system for detecting human DMD (Duchenne muscular dystrophy) gene exon copy number variation. The amplifying system comprises an amplifying composition corresponding to the detection of 10 groups of exon copy number variation, wherein the amplifying composition comprises oligonucleotide sequences as shown from SEQID No.1 to SEQID No.36; the 10 exon purpose fragments including human DMD gene exons 4,8,17,44,45,47,48,50,51,52 are amplified through a real-time multiple fluorescent quantitation PCR reaction; and according to the detection result, whether thehuman DMD gene exon is subjected to deletion mutation or repeat mutation is judged. The invention also discloses a reagent kit for detecting human DMD (Duchenne muscular dystrophy) gene exon copy number variation. The amplifying system disclosed by the invention has the beneficial effects that through the detection result, the distinguishing of DMD carriers from DMD patients and normal people canbe realized, the result is reliable, the repeatability is good, the operation is easy, the equipment requirement is low, and the reagent cost is low; and the amplifying system can cover about 90% of copy number variation in the DMD carriers or the DMD patients, so that good balance between the detection cover degree and the detection exon number is achieved.

The invention discloses an element identifier distribution method and an application layer routing method based on element identifier, which is applied in centralized-management multilayer distributedsystems. In the method, node elements and element identifier of each level of a distributed system are established layer by layer; a routing table item based on the element identifier is generated inthe process of generating and distributing the element identifier; and addressing is performed through the element identifier during communication so as to realize application layer routing based onthe element identifier, which is needed by the communication of the centralized-management distributed system. The invention also provides a plurality of default routing rules of the routing method. The application layer routing method which is generated in the invention and based on element identifier is unrelated to TCP/IP (Transmission Control Protocol/Internet Protocol) routing methods, has the characteristics of simplicity, practicability, stability, reliability and resource conservation, and can meet special needs of distributed intrusion detection systems, distributed network auditing systems and various centralized-management multilayer distributed systems.

The invention discloses a double-chamber high-voltage soft bag detector. A detection channel device is arranged on a frame; a feeding mesh belt is arranged at the feeding end of the detection channeldevice, and an output mesh belt is arranged at the discharge end; a waste removing device is arranged above the output mesh belt; the detection channel device comprises a wavy soft bag conveying beltformed by connecting a plurality of power rollers side by side through a connecting belt; a bag head detection device and a bag body detection device are arranged on a detection station of the soft bag conveying belt; the bag body detection device comprises a bag body front side detection device and a bag body back side detection device; the bag body detection device is arranged at the inclined plane position of the soft bag conveying belt, and the inclined plane is formed by connecting at least two power rollers through the connecting belt. and a bag tail clamping device is arranged above thesoft bag conveying belt. The detection stability can be improved, ridge type conveying is adopted, and the detection sensitivity is improved; detection electrodes are arranged in a crossed covering manner to reduce false detection; and the detection electrodes can be automatically adjusted according to the bag body contour, and the leakage point capture sensitivity is improved.

The invention discloses a compressing, classifying and recycling device for bottle garbage. The compressing, classifying and recycling device for the bottle garbage comprises an outer framework, wherein universal wheel guide slots are formed in left and right sides of the bottom surface of the inner wall of the outer framework; universal wheels are connected in the universal wheel guide slots in asliding mode; a plastic bottle and metal can waste bin is movably sleeved by the outer framework; and universal wheels are mounted on the bottom surface of the plastic bottle and metal can waste bin.The compressing, classifying and recycling device for the bottle garbage realizes distinguishing and classifying of plastic bottles and metal cans through a bottle garbage distinguishing device, realizes work of piercing the plastic bottles and the metal cans through a bottle garbage piercing and compressing device, discharges dirt, improves cleanliness of recycled resources, compresses the resources, improves storage capacity, realizes classified placing of the plastic bottles and the metal cans, avoids manual classifying trouble, and is convenient for collecting and recycling recyclable resources.

The invention provides a multi-omics sequencing and analyzing method based on a Nanopore sequencing technology. The method comprises the following steps: A, simultaneously performing DNA and RNA extraction on a collected sample; B, adding a Poly U tail to the 3' end of the extracted RNA; C, performing reverse transcription on the RNA with the Poly U tail to obtain cDNA, and adding an MID barcode sequence to the 5' end of the cDNA; D, mixing the cDNA sample with a DNA sample to build a library, and performing Nanopore sequencing; E, homogenizing the expression levels of all cDNA in sequencing data according to DNA; and F, reading and analyzing whole genome methylation signals in the sequencing data. According to the method, transcriptome and apparent methylation group detection can be realized on the basis of genome sequencing, and the purpose of multi-omics correlation analysis of a macro transcriptome, a macro genome and an apparent methylation group is achieved.

The invention provides a user authority control method and system, and the method comprises the steps: determining a user authority of a user based on the pre-established relations between the user authority of an application to which the user belongs and a tenant authority set, and further determining whether the user has an operation authority for the current application operation or not based on the user authority. The tenant permission set comprises a tenant permission subset, a role permission subset corresponding to any user and a function package permission subset corresponding to any user. Whether the user has the operation authority for the current application operation or not is determined based on the user authority and the affiliation relationship of the tenant authority subset, the role authority subset and the function package authority subset in the tenant authority set, so that the user authority is distinguished, and the accuracy of user authority control is improved.

The invention provides a method and device for blocking network flows. The method comprises steps of extracting report characteristics of a received first report; searching whether the report characteristics exist in a characteristic association library, wherein the characteristic association library comprise multiple characteristic association groups and each characteristic association group comprise public characteristics and at least two kinds of service characteristics associated with the public characteristics; if the report characteristics exist in the characteristic association libraryand the report characteristics are public characteristics, judging whether service characteristics which are associated with the report characteristics and carry the prescription marks exist, whereinthe prescription marks are added to the service characteristics of the characteristic association groups carried by the received reports; and if yes, checking whether processing action corresponding to the service characteristics carrying the prescription marks in the characteristic association groups where the report characteristics are arranged is the blocking, if yes, abandoning the first report. According to the invention, identification of the network flows in case of quite low expense is achieved; and the function of network flow blocking is prevented from affecting processing of normalservices.

The invention discloses a lane line detection method and device, and belongs to the technical field of intelligent aided driving. The method comprises the following steps: 1, ; the method comprises the steps of obtaining a road image comprising at least one lane line, determining a semantic segmentation map corresponding to the road image and a feature vector corresponding to each pixel point in the road image, and determining a pixel point belonging to each lane line from the road image based on the semantic segmentation map and the feature vector corresponding to each pixel point in the roadimage. According to the invention, the semantic segmentation map corresponding to the road image is determined to identify the lane line included in the road image. And then, determining a feature vector corresponding to each pixel point in the road image, and determining the pixel point of each lane line in the road image based on the semantic segmentation graph and the feature vector corresponding to each pixel point, thereby realizing the distinguishing of the pixel points belonging to different lane lines in the road image.

The invention discloses an ALK fusion gene detection and typing kit based on sandwich method high-resolution melting curve analysis. A sandwich sequence target segment is amplified in a segmented manner by adding a low GC content joint at the 5' end of a gene-specific primer, and is a fusion gene fragment comprising a high and low GC content consensus sequence and a variable sequence. A high-resolution melting curve general analysis method can judge presence or absence of the fusion gene, and the fluorescence intensity-temperature second-order derivative curve is combined with a key parameteranalysis method to achieve digital judgment of the fusion gene type. The kit solves the problems of high cost, long cycle and difficult typing of the existing lung cancer ALK fusion gene detection, integrates the advantages of two technologies of real-time quantitative reverse transcription PCR and high-resolution melting curve analysis, and can be applied to fusion gene detection of fresh tissues, paraffin-embedded tissues, pleural effusion and other types of specimens.

The embodiments of the invention provide a body posture determination method and device, and the method and the device are used to accurately and effectively determine a body posture. The body posturedetermination method comprises the following steps of determining a plurality of human body nodes of a first human body in a human body image, wherein the plurality of human body nodes at least include wrist nodes, elbow nodes, shoulder nodes, and the multiple nodes of a head and a neck; and determining the posture of the first human body according to the relative position relationships between the wrist nodes and the elbow nodes, the shoulder nodes and a head region, wherein the head region is a region which is used for representing a first human head and is determined according to the plurality of nodes of the head and the neck.

The invention discloses a transformer direct-current magnetic bias judgment method based on vibration signal processing. The method comprises the following steps of firstly, judging whether the ratiok1 of the energy sum of frequency components, except 100 Hz frequency components, of a transformer vibration signal to the energy of the 100 Hz frequency components is greater than delta1 or not, andif not, determining that the transformer is in a normal working state, if yes, recording the abnormal starting moment t1, continuously judging whether k1 in the deltat time window after t1 is greaterthan delta1 or not, and if not, determining that the transformer has a short-circuit fault or is struck by lightning, if yes, whether the ratio k2 of the sum of the 50 Hz frequency component energy and the 150 Hz frequency component energy of the vibration signal to the 100Hz frequency component energy is larger than delta2 or not is judged continuously, if not, judging harmonic interference of the transformer occurs, and if yes, judging direct-current magnetic bias occurs to the transformer. The method can achieve accurate and reliable recognition of the direct-current magnetic bias of the transformer under the condition of eliminating three types of abnormal conditions: a short-circuit fault, lightning stroke and harmonic interference.