136results about How to "Reduce false negatives" patented technology

A radioactive material detection system includes a cargo container monitoring system and a control center. The cargo container monitoring system has a radiation sensor configured to detect radiation over a predetermined or commanded period of time and a transceiver configured to send the information received from the radiation sensor. The control center is in communication with the transceiver of the cargo container monitoring system. The control center is configured to receive data from at least one additional source other than the cargo container monitoring system and to asynchronously analyze the data from the at least one additional source and the information from the radiation sensor, during transit, so as to detect radioactive material in a cargo container.

The invention relates to a historical operation data-based equipment alarm threshold calculation method. The method comprises the following steps that: step 1, the historical operation data of equipment are acquired; step 2, the historical operation data are preprocessed; step 3, the statistic indexes of the preprocessed historical data are calculated, wherein the indexes comprise a data average value and a data standard deviation; step 4, an alarm threshold value Alm is calculated through the data average value and the data standard deviation; and step 5, the actually-measured state parameterS of the equipment is monitored, the equipment gives out an alarm, and the alarm threshold value iteratively updated. According to the method of the invention the actual alarm threshold value of theequipment is determined based on the learning of the historical operation data of the equipment, so that automatic early warning against the faults of the equipment can be realized.

An automatic detection method and system capable of improving radiographic image abnormal (lung cancer local lesion) detection process in the prior art is provided. The detection method and system employs multi-resolution technology to improve detection efficiency for local lesion with various sizes and further use virtual local lesion to conduct relevance and match, so local lesions of all or most sizes can be detected. The detection method and system employs spherical parameter to represent local lesions, so non-obvious local lesions can be accurately detected. A plurality of classifiers employed by the detection method and system comprise a counter-propagation neural network, data fusion, trimming neural network based on decision-making and convolution neural network structure, so classification grade of lung local lesion classification can be generated; and images with high dubiety can be further detected upon final decision-making.

The invention discloses a transcriptome-based tumor antigen identification method. The method comprises four steps of: obtaining an RNA sample of a patient tumor tissue, and carrying out library construction and amplification on the RNA sample to obtain an RNA sample sequencing result of the tumor tissue; aligning short read segments of the RNA sample sequencing result to a human reference genometo obtain an RNA alignment result; calculating gene expression quantity according to the RNA alignment result, and carrying out mutation detection and prediction of fusion gene events according to theRNA alignment result; and predicting transcriptome HLA typing according to the alignment result, wherein calculation of the gene expression quantity, mutation detection and prediction of the fusion gene events are carried out according to a specified order or simultaneously carried out; and using the gene expression quantity of a transcriptome sample, depth of transcriptome mutation sites in a whole-exon sequencing sample and binding force of neonatal short peptides and the patient HLA typing as an analysis result to submit the same to a downstream analyst. The invention provides the method capable of identifying a tumor-specific antigen of an individual sample from tumor patient transcriptome NGS data.

The present invention discloses an RNA virus inactivation preservation solution. The inactivation preservation solution comprises ammonium salt, 1-ethyl-3-methylimidazolium bisulfate, lithium chloride, ethylenediaminetetraacetic acid, an RNase inhibitor, a surfactant, a reducing agent, a buffer agent and water. The present invention also provides an RNA virus sample inactivation and preservation method and an RNA virus detection method, and the method is conducted by using the inactivation preservation solution. The preservation solution has low cost, inhibits RNase activity, preserves RNA integrity, realizes preservation and transportation of samples at room temperature, can also quickly inactivate pathogens at room temperature, reduces infection risks of medical personnel, and reduces false negatives in detection. At the same time, the inactivation preservation solution can realize a lysis function, does not contain chaotropic reagents and alcohols, is compatible with mainstream nucleic acid extraction kits on the market, greatly saves time of an entire process, and is particularly suitable for 2019 new coronavirus (COVID-19) inactivation and lysis steps after swab sampling.

The embodiment of the invention provides a pedestrian detection method and device. The pedestrian detection method comprises the steps that an image to be processed is acquired; the pedestrians in theimage to be processed are detected so as to acquire the pedestrian information, wherein the pedestrian information includes multiple pedestrian boxes; the heads of the pedestrians in the image to beprocessed are detected so as to acquire the head information, wherein the heat information includes the head positions corresponding to at least a part of the pedestrian boxes of multiple pedestrian boxes in a one-to-one way; the shoulders of the pedestrians in the image to be processed are detected so as to acquire the shoulder information, wherein the shoulder information includes the left shoulder positions and the right shoulder positions which are corresponding to at least a part of the pedestrian boxes in a one-to-one way; the overlapping situation of the head and shoulder parts corresponding to at least a part of the pedestrian boxes in a one-to-one way is calculated according to the head positions and the left shoulder positions and the right shoulder positions which are corresponding to at least a part of the pedestrian boxes in a one-to-one way; and the pedestrian boxes are filtered according to the overlapping situation so as to acquire the pedestrian detection result. According to the method and the device, the problem that the pedestrian boxes of other pedestrians are filtered by using the pedestrian box of a certain pedestrian can be avoided.

The embodiment of the invention provides a knowledge graph completion method based on a neural network, and relates to the technical field of natural language processing. The method comprises the steps of S1, converting triples (s, r, o) in a knowledge graph K into sentences [s r o] in an embedding layer, and converting the sentences [s r o] into a k-dimensional dense vector representation form xi= [vs, vr, vo] by utilizing a vector representation technology; s2, learning long-term dependence of sentences from the input feature vector xi in a loop layer by utilizing a BiLSTM network to obtaina loop layer feature vector hRNN; s3, learning local structure information from the feature vector hRNN in a convolutional layer by using a convolutional neural network to obtain a convolutional layer feature vector hCNN; and S4, converting the convolutional layer feature vector hCNN into a score of each triple (s, r, o) in a full connection layer. According to the knowledge graph completion method, the long-term dependence and local structure information of facts in the knowledge graph are captured by using the recurrent and convolutional neural network without depending on any external data, and meanwhile, the transfer characteristics of entities and relationships are reserved, so that the learning ability is higher.

The invention discloses a threat intelligence generation method and device, and the method comprises the steps: collecting description texts of various types of security events, and collecting a vulnerability database and an attack utilization database; Filtering a first type of description text from the collected description text by using a regular expression to obtain a second type of description text, the first type of description text not comprising a threat field, and the second type of description text comprising a threat field; Classifying the second type of description text by using aconvolutional neural network to obtain a real threat information text and a false positive case threat information text; Extracting entities from the real threat information text, extracting a relationship between the entities, and generating triple information based on the relationship between the entities; And generating a threat intelligence knowledge map based on the triple information.

The invention discloses a kit for colorectal cancer detection and an application thereof. The kit comprises a primer composition, and a probe composition. The primer composition comprises BS-S9-F, BS-S9-R, BS-N4-F, BS-N4-R, BS-SDC2-F, BS-SDC2-R, BS-ACT-F and BS-ACT-R. The probe composition comprises BS-S9-P, BS-N4-P, BS-SDC2-P and BS-ACT-P. The kit of the invention can be applied to the detectionof colorectal cancer, and has the advantages of high sensitivity and high specificity.

The invention provides an immunological detecting kit, a preparation method and a using method thereof. The kit comprises a protein antibody which is to be detected and is marked by a marker capable of directly detecting, wherein the protein to be detected is the protein related to heart cerebrovascular disease examination. The protein to be detected comprises one or more of fibrinogen, C-reactive protein, thrombus precussor protein, creatine kinase and human body lipoprotein related phospholipase A2. The abundance or the concentration of the protein to be detected in the sample to be detected can be detected in one step by using the kit, so the step and the time are saved; and compared with the traditional method requiring signal cascade amplification such as enzyme-linked immuno sorbent assay (ELISA) and the like, the accuracy is improved.

The invention discloses a full-scan and high-throughput rapid screening detection method for illicit drugs in a health food. Data-dependent acquisition (IDA-MS) and data-independent acquisition (SWATH-MS) high-resolution mass spectrometry technologies are combined with Chemspider and an ACS compound structure database, illegally added western medicine ingredients in the health food are rapidly screened and analyzed according to the accurate parent ion and fragment molecular weights of primary mass spectrometry and secondary mass spectrometry and isotope peaks and other high-resolution mass spectrometry data information in the absence of a standard substance, and illicit drug ingredients in the health food are qualitatively identified under an unknown target substance condition in order toovercome the non-target substance detection problem of the health food. The method has the advantages of high-throughput analysis of the target substances, small matrix effect, high accuracy, simplicity in pretreatment, fastness, accuracy, small false negative error and small false positive error.

The invention discloses a digital PCR-based novel coronavirus nucleic acid quantitative detection kit and an application. The reaction total system of the digital PCR-based novel coronavirus nucleic acid quantitative detection kit has 20 ul, comprising 10ul of 2x One-Step RT-ddPCR Supermix, 0.8ul of 25mM manganese acetate solution, 5ul of to-be-detected sample RNA, 1ul of ORFlab gene primer probeworking solution, 1ul of N gene primer probe working solution, 1ul of RPP30 gene primer probe working solution and 1.2ul of Nuclease-Free Water, wherein 5ul of negative control RNA extraction solutionand 5ul of positive control RNA extraction solution are adopted to replace the to-be-detected sample RNA in a negative control reaction system and a positive control reaction system respectively. Based on the innovative RNA one-step reverse transcription microdroplet type digital PCR technology, nucleic acid absolute quantification is carried out specific to highly conservative ORFlab gene and Ngene in the novel coronavirus (2019-nCoV) genome, so that the detection accuracy is improved, and the kit can be used for clinical assisted diagnosis and viral load analysis of novel coronavirus (2019-nCoV) infection, and has a wide clinical application value.

The invention discloses a breach host detection method, device and equipment and a readable storage medium. The method disclosed by the invention comprises the following steps: acquiring target information in network equipment, wherein the target information is a combination of at least two of process information, communication information, file information and login information; judging whether the target information is abnormal or not; and if yes, determining an abnormal behavior index of the network equipment according to the abnormal information, and if the abnormal behavior index is not smaller than a preset threshold, determining the network equipment as a breach host. The abnormal behavior index of the network equipment is analyzed based on the multi-dimensional information, the comprehensiveness and accuracy of the detection result are improved, the network equipment can be detected before becoming a breach host, occurrence of network security events on a larger scale can be avoided, and network security and reliability can be achieved. Correspondingly, the breach host detection device and equipment and the readable storage medium disclosed by the invention also have the above technical effects.

The present invention provides a method and device for detecting a facial skin flake defect based on deep learning. The method comprises a step of acquiring a sample image of a marked facial skin flake defect, a step of extracting a negative image block sample of a preset size and a positive image block sample corresponding to a preset flake defect label from the sample image, a step of constructing a convolutional neural network of a facial skin flake defect classification task and then training by using a training set formed by the negative image block sample and the positive image block sample to obtain a classification model, a step of cutting an image to be tested into test image blocks of a preset size and inputting the test image blocks into the classification model to obtain a classification label and a classification confidence probability corresponding to each test image block, and a step of marking the position of a preset flake defect on the image to be tested according toclassification labels and classification confidence probabilities corresponding to all test image blocks.

The invention discloses a movement detecting method, comprising the steps as follow: the first step, the picture of a reference frame is determined and the pictures of a current frame is determined; the second step, a monitoring area is divided into a plurality of sub-areas, and the corresponding valve value and the weight are respectively set for each monitoring sub-area according to the sensitivity of each monitoring sub-area; the third step, the movement information of the current frame and the reference frame inside each sub-area are acquired; and the fourth step, the movement detection inside the whole monitoring area is determined according to the movement detecting result of each sub-area, the weight of each sub-area and the valve value of the whole monitoring area. As the invention is added with the weight information, all the sub-areas are combined organically, thereby ensuring the movement detecting result of the whole monitoring area more accurate and reliable.

The invention discloses automatic nucleic acid sampling and detecting equipment. The equipment comprises a detection cabin, and a sampling device, a detection device and a control system which are arranged in the detection cabin, wherein the detection cabin comprises a cabin body and a solar power generation system, and an entrance is formed in one side of the cabin body and provided with an intelligent door for opening or closing the entrance; the sampling device comprises a jaw bracket, a multi-degree-of-freedom mechanical arm and an image collector; and the detection device comprises a test tube conveying belt, a sorting mechanical arm, a constant-temperature box, a medicine injector and a color recognizer, wherein the sorting mechanical arm sorts nucleic acid test tubes into the constant-temperature box and sorts the nucleic acid test tubes to the position below the color recognizer for color recognition, and the color recognizer transmits detection information to the control system. The whole nucleic acid detection process does not need the operation of nurses, and the operations from nucleic acid detection, to appointment auditing, automatic sampling of pharyngeal specimens and finally nucleic acid detection result sending, are completed by corresponding devices, so that cross infection during manual detection is avoided.

The invention provides a three-dimensional garage security system and method based on intelligent video monitoring. The system and method are applied to an elevating and traversing three-dimensional garage. The three-dimensional garage security system comprises a button, at least one network camera, a router, a host and a controller. Without human intervention, the method of machine vision and video analysis is used to automatically analyze an image sequence recorded by the camera to locate and identify a target in a dynamic scene. Accordingly, the target type is analyzed and judged. The understanding of the meaning of the image content and the interpretation of the objective scene are acquired to guide and plan an action. The system and method focus on the key technologies of a computer intelligent video monitoring system, and are applied to the security protection of a car-access area of the three-dimensional garage.

The invention discloses a multiple PCR detection kit for virulence factors of streptococcus suis and a detection method thereof, and belongs to the technical field of biology. The multiple PCR detection kit comprises nucleic acid shown by base sequences, such as SEQ ID NO:1 to SEQ ID NO:20. The detection method for the multiple PCR detection kit comprises the following steps of: 1, providing DNA of samples to be detected; 2, taking the kit, amplifying the DNA of the samples to be detected by adopting the conventional PCR method, detecting an amplified result by adopting an agarose gel electrophoresis method, and judging according to the result; and by using positive DNA of streptococcus suis 2 type as contrast, if the contrast proves that not all the strips are amplified, re-detecting, and if the contrast proves that all the strips are amplified, judging the result. The multiple PCR detection method established by the invention is specific and sensitive, and has the advantages of simpleness, convenience and quickness. The multiple PCR detection kit has reliable stability, and can be used for rapid detection of clinical samples and survey research on molecular epidemiology for the streptococcus suis.

Systems, methods, apparatuses, and computer readable media facilitating determination of whether a credit or debit card transaction is being performed by an authorized user. One example method may comprise receiving, from a third-party entity, via a network, a query, the query comprising at least data indicative of a location of a transaction, calculating a co-location probability between the location of the transaction and a current location of the at least one user-possessed device, the co-location probability being a probability that the transaction and the at least one user-possessed device are located within a same predefined geographic area, determining that the co-location probability meets a predefined threshold, and providing a notification indicating that the co-location probability meets a predefined threshold.

The invention provides a variable region sequence of a mouse monoclonal antibody specifically bound to a CAV (canine adenovirus) and an antibody specifically bound to the CAV. The antibody can be usedfor preparing a kit and pharmaceutical composition. According to the kit, the problem of low detection sensitivity in the prior art is solved, leak detection and false negative are avoided, various targets can be detected, and the kit has the advantages of being rapid, simple and accurate; the pharmaceutical composition can effectively prevent and treat disease caused by CAV-1 and CAV-2.

The invention discloses a ramp speed limit recognition method, which comprises steps: the speed limit sign information recognized from an acquired road image is obtained; based on the speed limit information, whether the speed limit information is ramp speed limit information is judged; if yes, the lane information, the route planning information, the traffic light information and the environmentinformation of the vehicle are obtained; according to the lane information, the route planning information, the traffic light information and the environment information, whether the vehicle enters aramp driving-in preparation state is judged; and if the vehicle is determined to enter the ramp driving-in preparation state, based on the ramp speed limit information, a speed limit value of the vehicle is determined and prompted. According to the method and the device provided in the invention, the correct recognition rate of the ramp speed limit recognition scheme can be improved, missed reportand error report risks can be reduced, and the driving experience of a driver can be improved. When the vehicle is overspeed after entering the ramp, the vehicle speed is limited below the ramp speedlimit, and the driving safety factor of the vehicle is improved.

The invention discloses a circulation tumor cell separation and enrichment micro-fluidic chip and an enrichment method thereof. The circulation tumor cell separation and enrichment micro-fluidic chip comprises a sample treatment chamber and a separation purification chamber, wherein the separation purification chamber comprises a micro channel, a magnetic field adsorption part, a magnetic collection chamber, a cell collection chamber and a filtering membrane; a sub-channel is formed inside the micro channel; the magnetic field adsorption part is arranged on the inner wall of the sub-channel; one end of the micro channel is communicated with the sample treatment chamber; the other end of the micro channel is communicated with the magnetic collection chamber and the cell collection chamber in sequence; the magnetic collection chamber is used for collecting magnetic beads which are not adsorbed by the inner wall of the sub-channel; the filtering membrane which is capable of retaining circulation tumor cells is arranged inside the cell collection chamber; and a liquid outlet from which a liquid filtered by the filtering membrane flows out is formed in the cell collection chamber. The circulation tumor cell separation and enrichment micro-fluidic chip is efficient, rapid, good in specificity and high in accuracy.

The invention provides a kit for detecting the curative effect of aspirin, belonging to the technical field of biology. The kit comprises a 11-dehydrogenated thromboxane B2 antibody-coated elisa plate, a horseradish peroxidase-marked 11-dehydrogenated thromboxane B2 antibody, 11-dehydrogenated thromboxane B2 standard solution, substrate color developing liquid and an interference shielding agent. The kit for detecting the curative effect of the aspirin comprises the interference shielding agent, so the interference of NaN3 in a detection sample can be effectively avoided, the generation of false negative is reduced, and the detection sensitivity and accuracy for the curative effect of the aspirin are improved.

This invention relates to a culture medium for the rapid detection of coliform and coliform groups, which is mixed from distilled water solution containing peptone, yeast extract, lactose, 4-methylumbelliferone-beta-D-galactoside, sodium chloride, dipotassium hydrogen phosphate, potassium dihydrogen phosphate, sodium lauryl sulfate and agar (or agar-free), the solution of indophenol-beta-D-glucoside and solution of cefsulodin. Peptone, yeast extract, lactose, 4-methylumbelliferone-beta-D-galactoside, sodium chloride, dipotassium hydrogen phosphate, potassium dihydrogen phosphate, sodium lauryl sulfate and agar (or agar-free) are weighed according to a certain criterion and added to distilled water for heat dissolution. The consequent solution is adjusted to a certain pH value, put into a high pressure sterilizer for sterilization and then added with filtrated and sterilized indophenol-beta-D-glucoside solution and cefsulodin solution after the temperature lowered to 50 deg.Cí‚5 deg.C. This is useful in either qualitative or quantitative detection of coliform and coliform groups in drinking water, environmental water and foods, high efficiency and accurate detection result.

The invention discloses a protein chip for lyme disease flagellin antigen immunoserology diagnosis and a preparation method and application of the protein chip. The protein chip is characterized in that borrelia burgdorferi recombination flagellin antigen probes are fixed on the surface of a solid phase carrier in a dot matrix mode; the solid phase carrier is a 16-amino-1-hexadecyl mercaptan modified gold foil chip which is combined with 4-(N-maleinimide methyl) cyclohexane-1-carboxylic acid succinimide ester and 4-(dimethylamino) pyridine. The protein chip disclosed by the invention can accurately detect an anti-flagellin antigen IgG antibody and an anti-flagellin antigen IgM antibody in serums of lyme disease patients, the operation is simple, and the detection result is stable.