104 results about "Cross matching" patented technology

Embodiments of the invention provide a system and method of automatically generating weights for matching data records. Each field of a record may be compared by an exact match and / or close matches and each comparison can result in a mathematical score which is the sum of the field comparisons. To sum up the field scores accurately, the automatic weight generation process comprises an iterative process. In one embodiment, initial weights are computed based upon unmatched-set probabilities and default discrepancy weights associated with attributes in the comparison algorithm. A bulk cross-match is performed across the records using the initial weights and a candidate matched set is computed for updating the discrepancy probabilities. New weights are computed based upon the unmatched probabilities and the updated discrepancy probabilities. Test for convergence between the new weights and the old weights. Repeat with the new weight table until the weights converge to their final value.

The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.

An apparatus, system, and method are disclosed for facilitating internet trading by combining trading network information and social network information. The apparatus may determine a search parameter and a level of degree of contact between a searcher and members associated with a social network. The level of degree of contract defines a number of degrees of separation between the searcher and seller within the social network. A search module may limit the search, or filter the results, to goods and services offered by members of the social network having a relationship within the level of degree of contact to the searcher. A matching module may perform n-way cross matching of items on one or more lists of goods and services offered and items on one or more lists of goods and services desired where n is an integer equal to, or greater than, two. A notification module configured to present the results of a search to the searcher.

Embodiments of the invention provide a system and method of automatically generating weights for matching data records. Each field of a record may be compared by an exact match and / or close matches and each comparison can result in a mathematical score which is the sum of the field comparisons. To sum up the field scores accurately, the automatic weight generation process comprises an iterative process. In one embodiment, initial weights are computed based upon unmatched-set probabilities and default discrepancy weights associated with attributes in the comparison algorithm. A bulk cross-match is performed across the records using the initial weights and a candidate matched set is computed for updating the discrepancy probabilities. New weights are computed based upon the unmatched probabilities and the updated discrepancy probabilities. Test for convergence between the new weights and the old weights. Repeat with the new weight table until the weights converge to their final value.

The method according to the invention gene rates an aerial image mosaic viewing a larger area than a single image from a camera can provide using a combination of computer vision and photogrammetry. The aerial image mosaic is based on a set of images acquired from a camera. Selective matching and cross matching of consecutive and non-consecutive images, respectively, are performed and three dimensional motion and structure parameters are calculated and implemented on the model to check if the model is stable. Thereafter the parameters are globally optimised and based on these optimised parameters the serial image mosaic is generated. The set of images may be limited by removing old image data as new images are acquired. The method makes it is possible to establish images in near real time using a system of low complexity and small size, and using only image information.

This invention concerns filling vacancies. It may be applied to finding replacements during staff shortages, or to filling entire rosters. It may also be used to fill casually occurring service needs, such as the need-for a child minding placement. The invention involves entering availability details into a candidate data store, and entering vacancy details into a vacancy data store. Automatic cross-matching of each vacancy to availability details create a list of available candidates for each vacancy. Automatically ordering the list for each vacancy ranks the candidates according to predetermined criteria. The vacancies are then filled with the top ranking available candidate. This may be performed automatically or involve the transmission of invitations and acceptances. The invitations may be automatically dispatched, and the responses may automatically update the data. It may be layered to integrate the filling of a vacancy with the provision of a service for a related period of time. For instance, integrating the filling of a teaching or nursing staff vacancy with the provision of child minding services for the same period.

The invention discloses a method for automatically recognizing an abnormal velocity event in a surveillance video. The method comprises the steps that (1) frame images are read from the monitoring video, image processing is conducted, and therefore a needed image sequence is obtained; (2) a statistical average method and mixture Gaussians background modeling are adopted to establish a background model, and a background differencing method is used for detecting a foreground target set; (3) a cross matching detecting method and a Mean-shift algorithm are combined for tracking a moving target corresponding to each foreground target in the foreground target set so as to obtain the position information of each moving target; (4) the speed of each moving target is calculated, and when the speed of each moving target exceeds a preset threshold, an alarm is given out; otherwise, the step (1) is executed. By the adoption of the method for automatically recognizing the abnormal velocity accident in the monitoring video, foreground targets corresponding to moving targets can be accurately detected, the foreground targets are used for guaranteeing that the positions of the moving targets do not deviate to the largest degree, and the abnormal velocity accident can be recognized more accurately.

A method for detecting and / or observing particle agglutination comprising: placing a volume of particle suspension on a filter constructed to allow passage of individual particles; placing a volume of solution or suspension containing an agglutination reagent on the particle The location of the suspension; optionally placing the washing solution at the location of the agglutinating reagent; and observing the surface of the location for the presence of particles, which presence indicates that particle agglutination has occurred. Also provided are methods for detecting agglutination in general and hemagglutination, eg, for blood typing and cross-matching in particular. The method consists of continuous vertical addition of whole blood, blood typing reagents, and detergent to the filter. In the case of hemagglutination, colored, preferably red or reddish spots appear after washing. Devices and kits based on the present invention are also claimed which facilitate blood typing and cross matching in a non-laboratory environment without the need for laboratory instruments.

Microfluidic cartridges or devices for serum separation and blood cross-match analysis are provided. The devices may include a serum separation subcircuit alone or in combination with a solute mixing subcircuit. The serum separation subcircuit promotes on-cartridge clotting of a blood sample and manipulates the flow of the separated serum sample for subsequent cross-match analysis with a second blood sample, for example. The solute mixing subcircuit includes at least two intake channels, one for a whole blood sample from, for example, a blood donor and the other for the separated serum sample from, for example, a transfusion recipient. The solute mixing subcircuit further includes a serpentine mixing channel conjoined to a downstream channel. Under vacuum generated by a conjoined finger pump, the two input streams fill the serpentine mixing and downstream channels due to capillary action, enabling visualization of an agglutination reaction.

The invention provides a biometric key extraction method based on a fingerprint bit string and error correction coding. The biometric key extraction method based on the fingerprint bit string and the error correction coding comprises the following steps: designing an irreversible and changeable variable function or parameter based on the fingerprint bit string and the error correction coding algorithm to transform the original biological features; transforming the original template into a conversion template; and generating a biological feature revocable template. According to the invention, the problem of automatic registration between the registration template and the verification template in the transform domain is solved by means of fuzzy extraction, therefore, the rejection rate of the biological authentication is low, and the availability of the authentication scheme is ensured. The invention takes the fuzzy extraction technology as the main line and combines the error correction coding technology to extract the unique and stable key from the fingerprint images with certain randomness and fuzziness, and any step does not need to store original fingerprint information, therefore, the user fingerprint privacy information can be maximally protected while realizing the fingerprint feature encryption; the biometric key extraction method based on the fingerprint bit string and error correction coding can resist the brute force attack, the tampering / intercepting template database attack and the multi template cross matching attack based on ARM homologous fingerprints.

The invention discloses a blood platelet antigen antibody detection and cross-matching solid phase antihuman globulin kit, which pertains to the field of biotechnology and aims at providing a blood platelet antigen antibody detection and cross-matching solid phase antihuman globulin kit. The kit comprises a u-shaped reaction plate, blood platelets, indicator cells, antihuman IgG, low-ion medium, antiplatelet serum, negative control serum and positive control serum. The invention has high sensitivity, less time consuming (less than 1 hour) of the detection process, simple, convenient and feasible method and easily determined result, and can synchronously carry out detection on a great amount of samples and easily realize automation.

The invention relates to a space rope tying robot camera automatic motion detection and compensation method. The space rope tying robot camera automatic motion detection and compensation method is characterized in that regions contained moving objects in a front frame image and a rear frame image can be calculated; feature point detection is performed in regions without the moving objects through a SURF algorithm; an SURF feature description vector quantity adopted has the property of dimension and rotation invariance and is good in discrimination so that reliability and accuracy of image registration can be improved effectively according to the new algorithm. A cross matching algorithm is further adopted so that a fault matching ratio is reduced, and therefore robustness of the algorithm is strong and a solution of a motion parameter is accurate.

The invention discloses a blood extraction centrifuge and a centrifugal extraction method. Before performing the operation such as the cross-matching tests, the blood in a blood reservoir is transferred to a test tube and is subjected to centrifugation, and the operation is complicated. The blood extracting centrifuge of the invention comprises an upper shell, a lower shell, a needle injector, a blood collection device, a thimble, a base, a centrifugal mechanism, test tubes, an upper needle gripper, a tube gripper, a tube unloading gripper, and a test tube storage box and a waste storage tube-collection box. The needle injector includes an upper spit shell, a lower spit shell, a needle, a push rod, a pusher holder and a needle driving member. The blood collection device includes a pin moving block, an upper clamping tube block, a lower clamping tube block, an upper clamping tube screw rod, a lower clamping tube screw rod, a blood collecting tube, a blood collecting electric push rod, apin moving screw rod, a first blood collecting motor, a second blood collection motor and a third blood collection motor. The centrifuge can transfer the blood in the blood storage tube into the testtube and complete the centrifugal layering work of the blood, which simplifies the process of taking blood by the medical staff.

A method and apparatus for characterizing the type of a blood sample and a variety of blood components are provided wherein a transmission spectrum of the sample is collected over a predetermined wavelength range. For blood typing, this spectrum is then compared with a set of control spectra collected from control blood samples having known blood types, from which the type of the blood sample can be determined. Further methods and apparatus are provided for determining the viability of and for cross matching a platelet unit Additional method and apparatus permit analysis of the sample for the presence of a contaminant, Particles can also be counted in the sample, even when present in low concentrations, including white blood cell.

The invention relates to the technical field of medical experimental apparatus. Provided are cross-matching of blood, blood types A, B, O, and Rh D, and irregular antibody screening sample-adding machine. The screening sample-adding machine is provided with a distribution pipe with both ends sealed and characterized in that at least one injector is arranged side by side on the distribution pipe; needle parts of the injectors penetrating the distribution pipe are located at the lower end of the distribution pipe; radial through holes are arranged on the injectors inside the distribution pipe; a sample-adding pipe is arranged on the distribution pipe next to each injector; the sample-adding pipes are communicated with the injectors through the distribution pipe. The sample-adding machine solves the problems that sample-adding machines special for cross-matching of blood, blood types A, B, O, and Rh D, and irregular antibody screening experiments do not exist and it is complex, inefficient, and error-prone to operate with ordinary straw or dropper. cross-matching of blood, blood types A, B, O, and Rh D, and irregular antibody screening sample-adding machine are provided.

A method for the detection and / or visualization of particle agglutination, comprising: placing a volume of a suspension of the particles on a filter, the filter being constructed so as to permit passage of individual particles; placing a volume of a solution or suspension containing an agglutinating agent at the location of the particle suspension; optionally placing a wash solution at the location of the agglutinating agent; and observing the surface at the location for the presence of particles, such presence indicating that agglutination of the particles occurred. There is also provided a method for detection of agglutination reactions in general and hemagglutination reactions, such as used in blood grouping and cross-matching, in particular. The method is comprised of successive vertical additions of whole blood, blood grouping reagent and wash to a filter. In case of hemagglutination a colored, preferably red or reddish dot becomes visible after washing. A device and a kit based on the invention is also claimed and facilitates blood grouping and matching in non-laboratory environment without the need for laboratory instruments.

The invention provides a weighted hypergraph-based same user identification method. The method comprises the following steps of step 1, constructing a weighted hypergraph model; step 2, calculating node topological structure similarity; step 3, further identifying the same user by utilizing cross matching; the method comprises the following specific steps: step 1.1, finding nodes and friend relations in a network topology, dividing the nodes into the same hyperedge, and endowing a weight p, if the nodes and the friend relations exist in the network topology, establishing a weighted hyperedge,reconstructing two social network topological structures by utilizing the weighted hyperedge, and describing the topological structure of an original network more accurately. The weighted hypergraph is used for representing the relation between the nodes in the network, the topological structure where the nodes are located is accurately represented, the accuracy of node similarity calculation is improved, and therefore the accuracy and the recall rate of the same user identification method are obviously improved.

The invention discloses an automatic positioning and early-warning method of problem data of report output results. The method includes the steps that first, a rule base is pre-established, external early-warning algorithms are predefined for the rule base, the early-warning algorithms are achieved through early-warning algorithm expressions, and the early-warning algorithm expressions comprise a plurality of variables connected through operators; second, reports are established, and the early-warning algorithms are respectively related to all the reports; third, an early-warning algorithm matching actuator is established, and real-time data values of all the variables of the early-warning algorithm expressions are acquired; fourth, all the reports are detected by a system in real time, the corresponding early-warning algorithm expressions are executed, operation is performed according to the operators defined by the early-warning algorithm expressions, and early-warning result values are returned; fifth, the returned early-warning result values and data sets carried in the reports are matched in a crossed mode, and problem data in the data sets carried by the reports are found through a comparison algorithm; sixth, early-warning marks are made for the problem data by the system, and the problem data are displayed onto a client.

Embodiments of the invention disclose a medication mode excavation method, for proving medication modes for disease treatment. The medication mode excavation method includes the steps: receiving inputelectronic case text information; performing data extraction and word segmentation based on the electronic case text information; performing medication mode excavation based on data extraction and word segmentation, obtaining classification of patient groups and drugs, and performing cross matching; and based on the result of cross matching, obtaining a medication mode for disease treatment. Themedication mode excavation method can avoid the problem that an existing electronic case is rich in data but cannot effectively prove the potential therapeutic medication mode of the patient to some extent, can preferably act on the disease with small difference in the medication mode and can improve the clinical diagnosis rate.

A method and apparatus for characterizing the type of a blood sample and a variety of blood components are provided wherein a transmission spectrum of the sample is collected over a predetermined wavelength range. For blood typing, this spectrum is then compared with a set of control spectra collected from control blood samples having known blood types, from which the type of the blood sample can be determined. Further methods and apparatus are provided for determining the viability of and for cross matching a platelet unit. Additional method and apparatus permit analysis of the sample for the presence of a contaminant. Particles can also be counted in the sample, even when present in low concentrations, including white blood cell.

Disclosed are methods for establishing the compatibility between two blood types on the basis of cross-matching (under a designated rule of stringency) the minor blood group genotypes of recipient and prospective donors. To determine compatibility, the blood group genotypes are mapped to corresponding phenotypes according to the expression states associated with a set of underlying haplotypes, and compatibility is established by establishing the compatibility of blood types constructed as a combination of constituent phenotypes. The bit strings are matched, preferably using an algorithm expression. Where ambiguity in mapping genotypes to haplotypes exists, it can be reduced based on frequency of occurrence of the haplotypes in the sample population, or resolved by gametic phasing. Such reduction or resolution of ambiguity is particularly desirable where mismatches in the antigens expressed by the constituent haplotypes have greater clinical significance.

The invention discloses a cross matching = fingerprint image scaling method based on global ridge distance. The method comprises the following steps of: partitioning the input fingerprint image; calculating the energy spectrum of the image blocks; enhancing the energy spectrum by root filtering; calculating the radial energy distribution of the enhanced energy spectrum to obtain the ridge distance of the image blocks; based on the consistency of the direction field of the image blocks, calculating the global ridge distance of the input fingerprint image; for two input fingerprint images to be matched, performing fingerprint image scaling according to the obtained global ridge distance. The method provided by the invention is simple, and has universality to the images acquired by different acquisition instruments; the result of the method is intuitive; and the method can realize fingerprint image scaling in cross matching of multiple acquisition instruments, and improves the performance of a multi-acquisition instrument cross matching algorithm.

The invention discloses an automatic cross-matching testing method suitable for known blood types. Before the blood transfusion, a professional examiner needs to finish a cross-matching test in a specialized laboratory. A tester comprises an upper-part shell, a lower-part shell, a needle ejection device, a hemostix, a needle ejector, a reagent absorbing and adding mechanism, a base, a centrifugaltest mechanism, a blood matching test tube, a microscope camera, an extraction pipe hand claw, a test tube hand claw for the test, a test tube hand claw for a blood receptor, a test tube storage box,an extraction tube storage box, a waste test tube collection box and a waste extraction tube collection box, wherein the centrifugal test mechanism comprises an upper disc, a support disc, a centrifugal rotating shaft, a positioning rotating shaft and a lifting shaking assembly; and the reagent absorbing and adding mechanism comprises a reagent disc, a layering collector, a condensed amine mediumreagent storage, a serum guiding pipe, a normal saline storage box, a first serum storage box and a second serum storage box. According to the method, the blood type detection and cross-matching testcan be automatically finished, and the workload of medical workers in the blood matching process is simplified.

The invention discloses a breeding method of hybrid rice. The breeding method comprises the following steps: determining strong and preferable hybridized combination; selecting an existing conventional japonica rice variety and strain with excellent characters for crossed matching, observing the hybrid vigor of the hybridized F1, identifying output, quality and resistance thereof, and breeding advantageous combination P1 / P2; separating establishing a three-line sterility line P1A and a two-line sterility line P1S by P1 according to the advantageous combination; establishing a recovery line P2-recovery; configuring a hybrid sterility line F1(P1S / P1A) by taking the three-line sterility line P1A as a female parent and the two-line sterility line P1S as a male parent; and configuring the hybridized combined P2-recovery / / P1S / P1A with the recovery line P2-recovery by taking the hybrid sterility line F1(P1S / P1A) as female parent. The breeding method disclosed by the invention can solve the technical problems that the existing three-line hybrid rice is not good in hybrid vigor and the safety coefficient of production of hybrid seeds of two-line hybrid rice is low.

The invention discloses a cross-social network entity identity analysis method. On the basis of fully utilizing user name information and link information, the invention uses a cross matching method based on ranking to carry out user identity identification. First, the user with the highest current score is selected as the candidate matching user by using the Username Similarity (UNS) and the UserSurrounding Score (USS). Then, the user matching score (UMS), that is, the combination of user name similarity and user environment score, is calculated, and the matching users are determined according to the score. Finally, the cross matching method is used to improve the matching accuracy.

The invention relates to a blood substitute and discloses poly hemoglobin cross-linked with antioxidase, and the poly hemoglobin is formed by chemically cross-linking superoxide dismutase and catalase. The poly hemoglobin cross-linked with the antioxidase has lower autoxidation rate and stronger oxidation resistance, can resist exogenous oxidants, does not need cross matching and laboratory detection during the application and has extensive applicability.

The invention discloses an optimization method based on SIFT feature point matching. The optimization method includes the steps that image feature points and descriptors of the image feature points are extracted through the SIFT algorithm, cross matching is carried out on Euclidean distances of the descriptors through the K-nearest node algorithm, the test specific value of each point in a basic point set is calculated, the coordinates of vanishing points are fitted based on coordinate information, and checking is carried out through the vanishing points. By means of the optimization method, wrong matching points generated when only scale space is considered in some SIFT matching methods are avoided.

The invention discloses a breeding method for high-resistance and grain-saving high-quality laying hens. A local breed and a dwarf breed of our country are taken as materials, and DW (Dwarf Gene) is introduced into the local breed of our country. A new multiline cross system for high-quality laying hens is established by using the conventional breeding methods combined with molecular assisted marker selection and through strain selection, cross matching and the like, and finally, a new high-resistance and grain-saving high-quality laying hens breed is bred. The technical problem that the cultivation method in the prior art can not realize grain saving and high yield simultaneously is solved.

The invention discloses a portrait identification method and device. The portrait identification method comprises the following steps: acquiring a face video image of an identity information provider, and acquiring a face image on a valid identity certificate and a matched face image in a third-party identity data system; normalizing the face video image, the face image on the valid identity certificate and the matched face image in the third-party identity data system; acquiring face feature data from the normalized face video image, the face image on the valid identity certificate and the matched face image in the third-party identity data system for serving as first, second and third face feature data; crossly matching the first, second and third face feature data pairwise; outputting the cross matching results of the first, second and third face feature data. By adopting the scheme, the accuracy of portrait identification can be increased, and online transaction becomes safer and more reliable.

The invention discloses a fusion method for gene expression and methylation data. The fusion method includes the steps of firstly obtaining the gene expression data of a certain cancer and the DNA methylation data measured by a 450K chip from a database of cancer genome maps, then respectively performing pretreatment on the gene expression data and the DNA methylation data to obtain their respective differential gene, then cross-matching the two differential genes to obtain overlapping genes, and finally analyzing the pathways of the overlapping genes by a David online tool, and finding out cancer- and immune-related pathways in the significantly enriched pathways for the expansion of the DNA methylation data to obtain a greater number of genome-wide CpG sites.