56results about How to "Accurate grouping" patented technology

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 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 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.

[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.

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.

A body detection apparatus includes: movement direction calculation portion that calculates a movement direction of each of acquisition points by using signals that show the acquisition points and that are obtained through detection of a body present around the vehicle; and determination portion that pre-sets a frame commensurate with a shape of a body as a detection object, and for pre-setting for the frame a reference traveling direction as an assumed traveling direction of the body, and for determining, among the acquisition points, acquisition points present within the frame whose reference traveling direction is aligned with the movement direction as being acquisition points of a single body.

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.

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 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.

A computer-implemented method for creating an image product by accurately grouping faces includes receiving an initial set of face groups for a plurality of face images, training classifiers between pairs of face groups in the initial set of face groups using image-product statistics by a computer processor, classifying the plurality of face images by classifiers to output binary vectors for the plurality of face images by the computer processor, calculating a value for an improved similarity function using the binary vectors for each pair of the plurality of face images, grouping the plurality of face images into modified face groups based on values of the binary similarity functions by the computer processor, and creating an image product based at least in part on the modified face groups

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 embodiment of the invention discloses a clustering-based user grouping method and device, equipment and a storage medium, and the method comprises the steps: obtaining user attribute features and corresponding clustering centers, wherein each clustering center is obtained through offline calculation, and the user attribute features are associated with users; determining a target clustering center corresponding to the user attribute features according to the user attribute features and each clustering center, and determining a group corresponding to the target clustering center as a group of the users; and updating the target clustering center according to the user attribute features for subsequent user grouping. According to the scheme, the problem that the accuracy of a clustering result is poor when the feature distribution fluctuates drastically due to parameter fluctuation is solved, and accurate grouping of the data is realized.