56results about How to "Accurate grouping" patented technology

When multiple kinds of bacterial colonies are present in a petri dish and, for example, a drug tolerance is to be measured, harvesting of mixed colonies of different types of bacteria makes it impossible to accurately determine the drug tolerance. Also, it is required to improve the throughput of a device for harvesting a bacterial colony. From images illuminated from multiple directions, isolating bacterial colonies are automatically extracted. Next, the image feature amounts are calculated from the multiple images that are illuminated from multiple directions and colonies are grouped depending on the feature amounts. Then, bacterial colonies to be harvested are determined based on the results of the grouping.

An image processing device for dividing an image imaged by imaging means into multiple regions includes: processing means for grouping, when difference of the pieces of image data between a single pixel within the image and a pixel adjacent thereto is less than a predetermined threshold, the single pixel and the adjacent pixel, and dividing the image into multiple regions with finally obtained each group as each region of the image; and average-value calculating means for calculating the average value of the image data within the group including the single pixel; with the processing means comparing the image data of the single pixel, and the average value calculated at the average-value calculating means regarding the group to which the adjacent pixel belongs; and when the difference thereof is equal to or greater than a predetermined second threshold, doing not group the single pixel and the adjacent pixel.

The invention relates to a photo processing method and a photo processing device. The method comprises the steps of grouping to-be-processed photos according to preset rules, detecting the quality of each group of to-be-processed photos to get the quality level of the group of to-be-processed photos, and storing the to-be-processed photos according to the quality level. By implementing the technical scheme, the storage space of a terminal or server is saved, and the storage pressure is reduced. Meanwhile, photos of high quality are screened out accurately for users, and the photos of high quality can be stored accurately and completely.

Reference feature vectors are constructed representing reference genetic data sets of a reference population. The reference feature vectors are transformed using a linear transformation to generate reduced dimensionality vector representations of the reference genetic data sets of the reference population. A tree-based spatial data structure is constructed to index the reference genetic data sets as data points defined by at least some dimensions of the reduced dimensionality vector representations of the reference genetic data sets of the reference population. The linear transform may be generated by performing feature reduction on the reference feature vectors. A feature vector representing a proband genetic data set is transformed using the linear transformation to generate a reduced-dimensionality vector representation that is located in the tree-based spatial data structure to perform population assignment for the proband genetic data set.

The invention discloses an unmanned aerial vehicle path planning method and system based on an artificial potential field method. The method comprises the steps: dividing a space planning region intoa plurality of discrete three-dimensional space grids according to space information grids, and removing the three-dimensional space grids only containing obstacles; acquiring position information ofunmanned aerial vehicle clusters; and clustering and grouping the unmanned aerial vehicle clusters, and generating a path planning scheme of each clustering center after clustering and grouping of theunmanned aerial vehicle clusters according to an artificial potential field method, wherein the path planning scheme of each group of unmanned aerial vehicles after clustering and grouping of the unmanned aerial vehicle cluster is consistent with the path planning scheme of each clustering center. According to the invention, the space planning area is divided through a grid method, unequal division is carried out on the vertical height, grids where obstacles are located are removed, the search space is reduced, the calculation efficiency is improved, the time consumed for path planning through the artificial potential field method is shorter, the method is more suitable for a dynamic environment, the search efficiency is improved on the premise that the planning quality is guaranteed, andthe maneuverability of a path finding algorithm is enhanced.

A composite signal including a plurality of component signal streams is processed using QR-decomposition to detect symbols and calculate a decision metric for each of the signal streams (202). Soft serial interference cancellation is performed on the composite signal based on the symbols detected for different ones of the signal streams and a ranking of the signal streams (204). The symbols are re-detected and the decision metric re-calculated for each signal stream based on soft serial interference cancellation results (206). The different decision metric calculations for at least one of the signal streams are compared to determine whether symbol detection is more accurate with or without soft serial interference cancellation (208). The signal streams are decoded using symbols detected based on soft serial interference cancellation results when symbol detection is determined to be more accurate with soft serial interference cancellation (210). Otherwise, the streams are decoded based on the symbols detected using QR-decomposition (210).

A geographically distributed storage system including a global Peer-To-Peer (P2P) ring and a local P2P ring. The global P2P ring includes all storage nodes and the local P2P ring includes a group of the storage nodes. Each of the group of storage node belongs to the global P2P ring and the local P2P ring and each storage node includes global and local management information. The global management information includes a node table for managing topology information of a network connecting the group, a metadata table for managing locations of stored data objects, and a global routing table for managing routing in the global P2P ring. The local management information includes an object management table for managing stored data objects in the group, a Logical Unit (LU) management table for managing logical units in the group and a local routing table used for managing routing in the local P2P ring.

The invention provides an image processing device and method. The image processing device comprises an extraction unit, a feature point matching unit and a group generation unit, wherein the extraction unit is used for extracting feature points representing local features of ungrouped images; the feature point matching unit is used for matching the feature points of input ungrouped images with the feature points of the other ungrouped images and determining the images, matched with the input ungrouped images, among the other ungrouped images to serve as a matching image set; and the group generation unit is used for generating new image groups based on the matching image set under the conditions that the matching quantity of the input ungrouped images and the other ungrouped images is greater than or equal to a first predetermined quantity and the quantity of grouped feature points among the matching feature points is greater than or equal to a threshold quantity, wherein the grouped feature points are located in an image identification region. According to the image processing device and method in the embodiment, the images can be grouped automatically and accurately.

The invention provides a commodity information processing method and a commodity information processing system and relates to the technical field of networks. The method comprises the following steps: a first server receives participation requests of first users and commodity information of the first users; transaction information data of the first users is respectively acquired from a second server according to the participation requests of the first users; the second server records the transaction information data of the first users; the first users are grouped according to the transaction information data of the first users; and the commodity information of the first users in the same group is integrated. According to the commodity information processing method and the commodity information processing system, commodity information of commodity information delivery parties can be accurately and objectively grouped; waste of commodity information delivery resources is reduced and the delivery efficiency is improved; a lot of time for communication is saved for the commodity information delivery parties, and long-cycle commodity information integration time caused by the communication cycle is shortened; and the integration efficiency is high, and the cost of integration can be reduced.

The invention provides a user interest group dividing method and system based on multilayer potential features. The method comprises the steps of reading a user playing log from a log system; conducting column feature analysis, track feature analysis, and lyric feature analysis according to the user playing log; determining a feature model according to a column feature analysis result, a track feature analysis result, and a lyric feature analysis result; conducting a clustering analysis on the feature model to obtain a cluster central value; conducting user group dividing according to the cluster central value. According to the user interest group dividing method and system based on the multilayer potential features, group dividing of users can be accurately conducted, so that music which corresponds to interests of the users of various kinds is accurately recommended.

A method for grouping network service users includes acquiring attribute and / or behavior data of multiple users within a current period, and converting the attribute and / or behavior data into standardized data; determining multiple group central points according to the standardized data, and placing the standardized data in a group where a group central point having a shortest distance is located; determining group features of groups according to standardized data in the groups; and separately pushing corresponding service push information to users in the groups according to the group features of the groups. In addition, an apparatus for grouping network service users is further described.

[Problem to be solved] To provide a sample storage tube wherein the two-dimensional code and the wireless IC chip are equipped, and there is low interference between the two elements, which can ensure data reading and writing accuracy and reliability.[Solution] A sample storage tube 100 comprise a tube body 120 for storing a sample; a lid 110 for capping the upper opening of the tube body; an information writable area 124 for writing information installed to a bottom surface of the tube body; wherein the information writable area 124 is arrayed in a peripheral portion of the bottom 123; and an information non-writable area 125 in which any information cannot be written is secured in a center part of the bottom 123. Plural of printed information codes 130 are printed on the information writable area 124. The sizes of the shapes of the printed information code are small, and the amount of the information carried by each printed information code is smaller than the amount of the information to be applied to the information writable area of the sample storage tube. The result obtained from the printed information codes 130 calculated by a predetermined algorithm equals the information writable area of the sample storage tube.

The present disclosure relates to an ensemble-based reservoir characterization method using multiple Kalman gains and dynamic data selection. The method includes preparing available data; generating initial ensembles by using the prepared static data; clustering and separating the generated initial models on the basis of a distance-based method; selecting the dynamic data; dynamically simulating the selected dynamic data by using the generated ensembles; calculating multiple Kalman gains by using initial models clustered in the same group as the selected dynamic data; updating ensemble members by means of the selected dynamic data and the multiple Kalman gains; and predicting a movement of a reservoir by using the updated models, and evaluating uncertainty thereof. Therefore, multiple Kalman gains are calculated and a final model is obtained using the selected dynamic data, and a reliable uncertainty evaluation and a future movement prediction can be performed within a short time by using the final model.

The embodiment of the invention relates to a method and a device for grouping user portraits, which relate to the data analysis field and can enable user portrait grouping to be more stable and accurate. The method comprises steps: based on the label of each user portrait, a label network G (V, E) is built, wherein V presents a vertex set in the label network, each vertex presents one user portrait, E presents an edge set in the label network, and each edge presents a connection line of two vertexes corresponding to two user portraits having at least one common label; based on the label network, a line graph network G' (V', E', W') is built, wherein V' presents a vertex set in the line graph network, each vertex presents one edge in the label network, E' presents an edge set in the line graph network, each edge presents a connection line of two vertexes corresponding to two edges with the common vertex in the line graph network with the label network, and W' presents a weight set for edges in the line graph network; community division is carried out on vertexes in the line graph network; and a community division result is converted to a user portrait grouping result.

An image processing device for dividing an image imaged by imaging means into multiple regions includes: processing means for grouping, when difference of the pieces of image data between a single pixel within the image and a pixel adjacent thereto is less than a predetermined threshold, the single pixel and the adjacent pixel, and dividing the image into multiple regions with finally obtained each group as each region of the image; and average-value calculating means for calculating the average value of the image data within the group including the single pixel; with the processing means comparing the image data of the single pixel, and the average value calculated at the average-value calculating means regarding the group to which the adjacent pixel belongs; and when the difference thereof is equal to or greater than a predetermined second threshold, doing not group the single pixel and the adjacent pixel.

The invention discloses a numerical-control multifunctional automatic green brick conveying and stacking system. The whole system is composed of a plane conveying and marshalling transmission unit, a compact type gantry crane lifting, conveying and stacking mechanical hand, a pneumatic and PLC control system and the like. The plane conveying and marshalling transmission unit is composed of a green brick receiving table, a green brick detection table and a marshalling and conveying table which are arranged in sequence. The compact type gentry crane lifting, conveying and stacking mechanical hand is composed of a chuck, a rotary section, a guide section, a horizontal walking section and a hoisting section. When mud strips on the marshalling and conveying table on the front side are counted to reach the appointed number, the hoisting section of a compact type lifting and transferring gantry crane is driven by power to enable the chuck to descend to the green brick clamping position, the pneumatic chuck achieves clamping of green bricks, then, a motor on the hoisting section reversely rotates to drive the chuck to ascend to the appointed height, the horizontal walking section receives a signal and horizontally moves under the drive of the motor, and therefore the whole hoisting part moves to the appointed green brick placement position.

The invention provides a picture screening method and device. The method comprises the following steps that: detecting a trigger event, obtaining the picture of which the similarity with an appointed picture in a map depot is greater than a first preset threshold value as a picture similar to the appointed picture under the triggering of the trigger event; and outputting the appointed picture and the similar picture as one group of pictures. After the technical scheme is adopted, the similar picture is accurately processed in time, the problem that a great quantity of time is consumed for users to select the similar picture is solved, and effects that the similar picture is quickly screened and accurately grouped are realized.

The invention relates to the technical field of screening machinery for assembling springs on a clutch, in particular to a damping spring grouping assembling device for a clutch damping spring assembling machine. The damping spring grouping assembling device for the clutch damping spring assembling machine comprises a turntable, a feeding mechanism, a compression measuring mechanism, a dischargingmechanism, a centering mechanism and positioning mechanisms distributed on the turntable, wherein the centering mechanism is also installed on the turntable and comprises a plurality of centering rods which are equidistantly arranged along the circumferences of the center lines of cavities inside the positioning mechanisms; the compression measuring mechanism compresses damping springs and measures the length of the compressed damping springs; in the process of screening and grouping according to the compressed length of the damping springs, the damping springs are positioned at the central position right below the compression measuring mechanism by utilizing the contraction of the centering rods in the centering mechanism; and in the process of compression measurement on the damping springs by the compression measuring mechanism, it is ensured that the damping springs do not incline or bend when compressed, and a situation affecting the measurement result does not occur.

The invention discloses a network optimization method based on user interest grouping. The method comprises the following steps of node adding process, grouping optimization process, searching process and quitting processing. According to the method, grouping is carried out based on user interest; super nodes can be selected and interest groups are formed automatically; the interest groups are formed based on interest history and grouping is done without men, thereby guaranteeing the grouping to be simple and accurate; and searching carried out in a formed interest grouping network is more efficient and lower in cost than that carried out in a unstructured network, and the generation of network flooding is effectively restrained.

The invention relates to the technical field of informatization teaching, in particular to a dynamic teaching management system which comprises a database, a project module, a lesson preparation module, an assessment module and an expansion module. According to the scheme, the teaching content and the project information are combined to generate the course content, so that the course content is closer to the real project, then the learning level of the student is detected according to the assessment content generated by the course content, and the corresponding tutoring course is provided according to the learning level of the student, so that the learning of the student is pertinently improved. Finally, the project tasks in the project information are allocated to the students according to the learning levels of the students, the situation that the students are difficult to complete the tasks in the practice process due to insufficient ability is avoided, the dominant skills of the students are improved in a targeted practice mode, the students are made to have the skill, the miscellaneous and non-precise situation is avoided. And the future business development of students is facilitated.

An image analysis device includes a first calculating part that calculates a magnitude of motion of an image element from time-series images of pulsating myocardial cells, a second calculating part that calculates a feature quantity on the basis of the magnitude of the motion of the image element calculated by the first calculating part, and an identifying part that identifies whether the image element is a predetermined image element on the basis of the feature quantity calculated by the second calculating part.

The invention discloses a grouping method based on a social platform and an apparatus thereof. The grouping method based on the social platform comprises the following steps of taking user data of the social platform and speech data published by a user; according to the user data, carrying out calculation and acquiring a first score, and according to the speech data, carrying out calculation and acquiring a second score, wherein the second score is calculated and acquired according to a mentioned quantity of a preset vocabulary in the speech data, a demand vocabulary associated with the preset vocabulary and an emotion vocabulary associated with the preset vocabulary; using a sum of the first score and the second score as total points of the user; according to a conversion tunnel model, corresponding the total points to a corresponding phase of the conversion tunnel model; and taking the corresponding phase of the user as a subgroup where the user is located. In the invention, a problem that the user can not be accurately grouped in the prior art is solved and an effect of increasing accuracy of user grouping is reached.

Method of placing products on the floor of a grouping station (3), in aisles (5), to form a batch of products to be palletized, including withdrawing guide walls (6) forming the aisles (5) to an inactive position; moving the batch towards the palletization station (11); repositioning the guide walls (6) into an active position; and re-placing a mechanism (10) for moving the rows into their starting position by turning them about the guide walls (6). The station (3) for grouping products (2) is arranged between the selection station of the receiving line (1) and the table (12) of the palletization station (11) and includes: motorized conveyor (4); guide walls (6); thrust devices (40) for conveying the batch onto the table (12); a mechanism for withdrawing the guide walls (6); and a mechanism for imparting to the thrust devices (40) a turning movement about the guide walls (6).

A network monitor provides improved understanding of the type of data being transmitted by packets by capturing rendezvous packets, such as domain name server queries and responses, to extract text domain names that may then be associated with later packets using a common numeric addresses. Text domain names intended for human understanding and recollection provide a unique insight into the content of the packets not readily obtained by analysis of the packet data itself.

The invention discloses a bad data correction method and device, a storage medium and electronic equipment. The method comprises the following steps: acquiring an initial suspicious measurement set; judging the relationship between the weighted residual error of the maximum suspicious measurement in the initial suspicious measurement set and a preset threshold value; and when the weighted residual error of the maximum suspicious measurement is smaller than a preset threshold value, correcting the state quantity based on a prediction residual error method. According to the bad data correction method and device, the storage medium and the electronic equipment provided by the invention, the initial suspicious measurement set is firstly formed by judging the measurement, then the weighted residual corresponding to the maximum suspicious measurement in the initial suspicious measurement set is calculated, and the relationship between the weighted residual and the preset threshold is judged; and correcting the bad data in the initial suspicious measurement set based on the judgment result. Therefore, the accuracy of bad data identification is guaranteed.