495 results about "Cluster group" patented technology

A method for classifying or comparing objects includes detecting points of interest within two objects, computing feature descriptors at said points of interest, forming a multi-resolution histogram over feature descriptors for each object and computing a weighted intersection of multi-resolution histogram for each object. An alternative embodiment includes a method for matching objects by defining a plurality of bins for multi-resolution histograms having various levels and a plurality of cluster groups, each group having a center, for each point of interest, calculating a bin index, a bin count and a maximal distance to the bin center and providing a path vector indicative of the bins chosen at each level. Still another embodiment includes a method for matching objects comprising creating a set of feature vectors for each object of interest, mapping each set of feature vectors to a single high-dimensional vector to create an embedding vector and encoding each embedding vector with a binary hash string.

A processor executes different types of programs in the memory. Namely, the processor customizes the user's GUI by utilizing a processing unit to judge the user's skill level based on the quality of task results and task time, a processing unit to extract the GUI usage status based on the GUI operating history of the user, a category sorter unit to sort the users into the multiple categories according to the task content and skill level of the user, a processing unit to perform clustering the user group based on the usage status for each sorted category, and a processing unit to customize the GUI based on the usage status in each cluster grouped by a clustering method, and sorts the user for GUI customizing into one of clusters and customizes the user's GUI by applying the GUI customizing method set for that corresponding cluster.

A method, system, program, and data structure for restricting host access to at least one logical device. Each logical device comprises a section of physical storage space that is non-overlapping with the physical storage space associated with other logical devices. At least one logical device and at least one host are assigned to a cluster group. A cluster group is defined such that hosts that are not in a particular cluster group cannot access the logical devices that are assigned to the cluster group. Further, within each cluster group, a logical number is assigned to each logical device in the cluster group such that no host member of that cluster group uses the assigned logical number to access another logical device. The hosts in the cluster group use the logical number to access the logical device to which the logical number is assigned.< / PTEXT>

The invention discloses a power load forecasting method based on customer segmentation in power industry. The power load forecasting method comprises: step 1, extracting customer load data and obtaining load sample data; step 2, pre-processing the load sample data; step 3, performing cluster grouping to customer to obtain a plurality of customer groups; step 4, summarizing the load data of the customer groups; step 5, performing load timing sequence forecasting to a single customer group; step 6, summarizing and calculating load forecasting results of the plurality of customer groups; and step 7, evaluating the load forecasting results obtained in the step 6. The power load forecasting method can accurately forecast power load of the customer groups and provides a basis for development and operation of a power system.

Disclosed is an image processing apparatus in which vector data from which noise has been removed and amount of data reduced can be generated in ideal fashion with regard to an illustration area selected from a document image. The document image is input to the apparatus and is segmented into a plurality of areas. A clip-art image is selected from these areas and a plurality of clusters are generated with regard to this image area. When a small area included in the plurality of clusters is determined as a noise, the noise is eliminated by combining the small area with a adjacent cluster. After noise is removed, the cluster group eventually obtained is converted to vector data.

An apparatus, program product and method utilize ordered messages in a clustered computer system to defer the execution of a merge protocol in a cluster group until all pending protocols in each partition of a group are handled, typically by ensuring either cancellation or completion of each pending protocol prior to execution of the merge protocol. From the perspective of each group member, the execution of the merge protocol is deferred by inhibiting processing of the merge request by such member until after processing of all earlier-received pending requests has been completed.

Disclosed is an image processing apparatus in which vector data from which noise has been removed and amount of data reduced can be generated in ideal fashion with regard to an illustration area selected from a document image. The document image is input to the apparatus and is segmented into a plurality of areas. A clip-art image is selected from these areas and a plurality of clusters are generated with regard to this image area. When a small area included in the plurality of clusters is determined as a noise, the noise is eliminated by combining the small area with a adjacent cluster. After noise is removed, the cluster group eventually obtained is converted to vector data.

Provided are a method which permits complete training data and data with added errors, and enables the early and accurate discovery of errors in facilities such as a plant, and a system thereof. To achieve the objectives, (1) the behavior of temporal data is observed over time, and the trace is divided into clusters; (2) the divided cluster groups are modeled in sub spaces, and the discrepancy values are calculated as errors candidates; (3) the training data are used (compare, reference, etc.) for reference to determine the state transitions caused by the changes over time, the environmental changes, the maintenance (parts replacement), and the operation states; and (4) the modeling is a sub space method such as regression analysis or projection distance method of every N data removing N data items, (N=0, 1, 2, . . . ) (for example, when N=1, one error data item is considered to have been added, this data is removed, then the modeling is performed), or a local sub space method. Linear fitting in regression analysis is equivalent to the lowest order regression analysis.

The invention discloses a method for showing advertisements in a webpage and a system. The method comprises the following steps: receiving a webpage access request of a user, extracting user identification in the webpage access request; searching a preset user cluster group according to the user identification, wherein each user cluster is constructed according to access character information of multiple users and corresponds with a specific advertisement; and determining the user cluster to which the user belongs, and showing the specific advertisement corresponding to the user cluster for the user in the webpage. Therefore, the method realizes showing advertisement in the webpage by selecting the specific advertisement corresponding to the user cluster to which the user belongs, whereinthe user cluster is constructed by the access character information of multiple users to represent the access character of the users, so the selected specific advertisement is suitable for the user, and the probability for clicking the specific advertisement by suitable users is greatly improved.

The invention discloses a method and system for realizing the Ethernet link clustering and protective switching. Multiple links are set as one or multiple link cluster groups and every link clustering group includes at least two links. One MAC address is set for every link clustering group as the source MAC address which is used by all links to send the packets in the link clustering group. The PPPoE session is established in the clustering link and the corresponding output link of the PPPoE session is selected from the link clustering group according to certain rule. After the PPPoE session is established in the clustering link, the related information of the PPPoE session is synchronized to all service boards of the link clustering group. If one link fails in the PPPoE session, the failed link will be deleted from the link clustering group and new output link of the PPPoE session will be generated. If the service board of the new output link is not in the service board of the old service board, the service of the new output link will generate the new PPPoE session entity according to the synchronization information of the PPPoE session.

The invention provides a digital cluster communication system based on a long term evolution (LTE) technology as well as a base station and a cluster user terminal; by adding a new cluster signaling radio bearer in the digital cluster communication system based on the LTE technology, such as a T-SRB0 capable of periodically and repeatedly sending a cluster group calling establishing message, a T-SRB1 used for sending a cluster group calling releasing message and the like, the cluster user terminal can access into the digital cluster communication system based on the LTE technology in delay.

Consistency groups of federated data centers can be transitioned between active / active multi-writer and active / passive single writer operational modes. In the active / passive single writer mode one or more hosts in a first data center have Write access to a distributed storage resource, but a host in a second data center does not have Write access to that distributed storage resource. In the active / active multi-writer mode hosts in both the first and the second data center have Write access to the distributed storage resource. The active / passive single writer mode is used as a default mode. The active / active multi-writer mode is used when needed for scheduled or unscheduled but qualified events which require mobility, e.g., moving virtual machines or cluster groups.

The invention discloses an antenna angle optimization method and system. The antenna angle optimization method comprises the steps of acquiring measurement reports and analyzing the measurement reports to obtain sample points, and using the sample points of the same antenna as a cluster group of an antenna; calculating a reasonable direction angle and a reasonable downward inclination angle of the antenna according to the cluster group of the antenna; optimizing a direction angle and a downward inclination angle of the antenna according to the reasonable direction angle and the reasonable downward inclination angle. The antenna angle optimization method and system utilizes measurement reports of a terminal and a base station, calculates the reasonable direction angle and the reasonable downward inclination angle of the antenna according to the sample points of the same antenna in the measurement reports, utilizes the reasonable direction angle and the reasonable downward inclination angle to optimize the direction angle and the downward inclination angle of the antenna, can rapidly, timely and accurately optimize and adjust antenna angles, is high in efficiency, does not depend on work experience of maintainers and can remotely perform antenna optimization without field route measurement.

The invention relates to a nerve network clustering method based on iteration. The method comprises steps that 1, parameters of an over-limit learning machine model are initiated; 2, samples having the same number as the required clustering number are randomly selected, each sample represents one clustering, an initial model sample set is formed, and an initial over-limit learning machine model is acquired through training; 3, clustering grouping for the samples is carried out by utilizing the initial over-limit learning machine model, and a clustering result is acquired; 4, for each clustering group, multiple samples are selected according to rules as models of the clustering groups; 5, the model samples of each clustering group acquired in the step 4 are utilized to update the over-limit learning machine model; and 6, the process returns to the step 3 for iteration till the clustering groups are stable or iteration frequency requirements are satisfied, and the clustering groups are acquired and outputted. The method solves a high-dimensional non-linear data space clustering problem and further solves problems of large memory consumption and long operation time.

The invention relates to a method for judging 2 type diabetes mellitus risk state and belongs to the technical field of biomedicine. The method includes that EM clusters and C4.5 classification are utilized to extract determinant attributes affecting attack of the 2 type diabetes mellitus, the crowd is divided into different cluster groups according to own characteristics, according to determinant attributes extracted results and a Logistic regression method, personal or crowd risk state is judged by combining metabolic syndrome and high risk group criterions. The determinant attributes affecting the 2 type diabetes mellitus are obtained, simultaneously, different risk state judgment models are built based on different characteristics of the crowd, the universality and practicability of the models are improved, the requirements of real-time processing and mobile computation are met, the effective degree of the determinant attributes is estimated through a quantitative analysis method, the complexity is low, the accuracy is high, and the divided risk state is detailed.

The invention provides a federated learning model training method based on data feature perception aggregation. According to the method, a cloud server calculates a global optimal model according to alocal model uploaded by an edge client, performs dimension reduction on data characteristics according to mined edge client data characteristics, screens out key characteristics, and performs clustering grouping on the edge client based on the key characteristics; the cloud server issues grouping information and a global optimal model to the edge client; and the edge client provides local data according to the received global optimal model and provides local execution model training according to the global optimal model, and one local model is randomly selected from the same edge client groupor the optimal model in the edge client group is selected and uploaded to the cloud server. According to the method, the data characteristics of the edge clients are fully utilized, the edge clientsare grouped, unnecessary communication is avoided, the influence of statistical isomerism on model training is relieved to a great extent, and the training efficiency of the model is improved.

The invention belongs to the technical field of industrial detection, and particularly relates to an edge defect detection method, which comprises the following steps of: acquiring image information of an edge area of an object to be detected, and calculating and obtaining edge contour point information of the object to be detected according to the acquired image information; detecting and recording suspicious defect points in the edge contour points to form a suspicious defect point set; carrying out clustering grouping on the recorded suspicious defect point set, carrying out linear discrimination on the obtained groups, and generating fitting lines; calculating the distance between each suspicious defect point and the fitting line, judging whether the distance is greater than a preset threshold value or not, and if the distance is greater than the threshold value, determining the suspicious defect point as an edge defect point to obtain a detection result. The edge defect detectionmethod can perform non-contact type automatic detection on the workpiece, avoids damage caused by manual detection, improves the detection precision and efficiency, can also detect the edge of a non-specific shape, and improves the universality.

The invention discloses a zombie network detection method, a device and a processor. The method comprises the steps as follows: each node is divided into a plurality of communication clustering groups according to the communication behavior characteristic value of each data stream in an obtained network, wherein nodes in each communication clustering group have similar communication behavior; aggressive clustering is realized on each node, wherein aggressive behavior produced by nodes in each aggressive clustering group is similar; and then a communication clustering result and an aggressive clustering result are compressively analyzed with a cross clustering algorithm, so that zombie nodes belonging to the same zombie network are finally obtained according to the relation between the communication clustering result and the aggressive clustering result, and detection on the zombie network is realized. The method is based on the basic characteristic of the zombie network, and the basic characteristic of the zombie network is constant. The method is independent from the category of the zombie network and has high universality, and the problem that only one type or one kind of the zombie networks can be detected in the prior art is solved.

The embodiment of the invention discloses a cluster quorum method and a multi-cluster cooperation system. The method comprises the steps that whether a fault happens to a first cluster group or a second cluster group is detected, wherein the first cluster group comprises a part of a first cluster and a part of a second cluster, the second cluster group comprises the other part of the first cluster and the other part of the second cluster, and the first cluster and the second cluster cooperate with each other; when it is detected that the fault happens, the first cluster group and the second cluster group determine respective seizing representatives, and the seizing representative of the first cluster group and the seizing representative of the second cluster group each execute the following steps of determining whether the fault happens to the corresponding cluster group and seizing a quorum device if not, wherein the cluster group, which the seizing representative successfully seizing the quorum device belongs to, survives according to a preset quorum mechanism. By means of the cluster quorum method and the multi-cluster cooperation system, the probability of service access interruption can be lowered.

The invention provides a method and device for the non-continuous monitoring of a control channel in a cluster communication system, and the system comprises the steps that cluster UE obtains cluster DRX configuration information which is configured by a base station for a cluster group, wherein the cluster DRX configuration information comprises a cluster DRX period, the start moment offset of the cluster DRX period, and a cluster group time duration timer; the cluster UE determines the start time of the cluster group time duration timer according to the cluster DRX period and the start moment offset of the cluster DRX period; the cluster UE monitors a PDCCH (physical downlink control channel) in an activation time period, wherein the activation time period is a period when the cluster group time duration timer is in operation. Based on the same invention thought, the invention also proposes a device for non-continuous monitoring of the control channel in the cluster communication system. When the cluster UE receives a group call, there is no need to monitor the PDCCH continuously, thereby saving the power.

The embodiment of the invention discloses a method for implementing group calling end-to-end encryption for mobile cluster comprising: transmitting session key request to calling encryption module, the session key request carrying group ID of group calling; receiving the session key of group key encryption corresponding to the group ID returned by the encryption module; transmitting the encrypted session key to called mobile station. In the embodiment, end-to-end encryption cluster group calling can be still performed under single station cluster mode or KMC failure or end-to-end encryption application context of through mode; KMC is not needed to participate in session key generation and distribution in end-to-end encryption group calling, which largely reduces load of KMC and calling establishment time delay of end-to-end encryption of cluster group calling.

The invention relates to an instant information temporary cohort conversational system and an establishing method and a transmitting method about the instant information. The system includes an interworking gateway, which is provided with a first instant information net of the global cohort information module, a second instant information net of local cohort information module. In the establishing process, the gateway is intercommunicated to transmit the inviting information and the global cohort information to the second instant information net, wherein the second instant information net records the address information belonging to the network member terminal and the temporary cohort ID in the local cohort information module, and transmits the inviting information to the member terminal of the network. The method is to transmit the received instant information by the intercommunicating gateway to the second temporary information net, while the second temporary information net transmits the instant information according to the stored member terminal information. The invention reduces the flow rate of the net and optimizes the performance of net.

The invention discloses a photograph album generating method and device. The photograph album generating method comprises the steps that a photograph album generating instruction is received, wherein the photograph album generating instruction carries target characteristics and photograph album generating conditions; according to the target characteristics, pictures to be classified are processed to obtain a target face cluster group, wherein the target face cluster group comprises pictures with the target characteristics; according to the photograph album generating conditions and the picture information of the pictures in the target face cluster group, the pictures in the target face cluster group are screened to obtain an alternative face cluster group, wherein the alternative face cluster group comprises pictures meeting the photograph album generating conditions; according to the alternative face cluster group, a target face photograph album is generated. The photograph album generating device comprises a receiving module, a processing module, a screening module and a generating module. According to the photograph album generating method and device, a user does not need to manually screen the pictures to be classified, the photograph album generating time and cost are saved, and then the photograph album generating efficiency is improved.

The invention discloses a method and device for generating a cluster group calling service area. According to the method and device for generating the cluster group calling service area, a cluster user group corresponding to a grouping calling request is determined by a cluster dispatch server, a mobile management network element to which the user terminal of the cluster user group belongs is determined, a base station and a cell to which the user terminal of the cluster user group managed by the mobile management network element belongs are determined, and the determined cell is used as the service area of the cluster user group. According to the method and device for generating the cluster group calling service area, service areas can be fast established reasonably according to registration information of cluster users when dispatch of a plurality of cluster user groups is needed at the same time, the service area of the cluster user group can be distinguished according to the attribute of the cluster user group, radio resources can be fully and effectively utilized, the user capacity of a system can also be improved, and more users are promoted to establish TD-LTE broadband digital trunking telecommunication networks based on an MBMS.

The invention relates to a method for processing user phase information in a power supply court based on a K-means clustering algorithm to finish classification of user nodes in the power supply court. The method comprises the main steps of collecting voltage data of an intelligent electric meter running in an electric power system; processing the voltage data through PCA; setting an initial clustering center according to a data dimension reduction projection scattering point; and performing clustering grouping processing on the phase information to which a voltage belongs by utilizing the K-means algorithm, thereby realizing classification identification of user phases in the power supply court. The clustering-based big data phase identification method has the advantages that voltage information of the phase to which voltages belong is clustered by directly utilizing the K-means method; the user phase information can be accurately judged; the support is provided for network topology and three-phase imbalance management of a power distribution court; the number of users connected to each phase is reasonably adjusted and planned to stabilize the operation stability of the electric power system; extra hardware overhead does not need to be increased; a comparison threshold value does not need to be set; and the disadvantages of an existing phase identification technology are madeup for.

Accurate and concise summarization of a media production is achieved using cognitive analysis which groups segments of the production into clusters based on extracted features, selects a representative segment for each cluster, and combines the representative segments to form a summary. The production is separated into a video stream, a speech stream and an audio stream, from which the cognitive analysis extracts visual features, textual features, and aural features. The clustering groups segments together whose visual and textual features most closely match. Selection of the representative segments derives a score for each segment based on factors including a distance to a centroid of the cluster, an emotion level, an audio uniqueness, and a video uniqueness. Each of these factors can be weighted, and the weights can be adjusted in accordance with user input. The factors can have initial weights which are based on statistical attributes of historical media productions.

Disclosed are a movement control method for a terminal in an RRC idle state, a terminal and a base station. The method is applied to a terminal side and comprises: a terminal sends a neighbor cell signal measurement result to a base station to which a camp-on cell belongs, so that the base station to which the camp-on cell belongs selects a neighbor cell as a target cell according to the neighbor cell signal measurement result, and informs the target cell of configuration of group information by means of a core network; the terminal receives a switching indication carrying a target cell identifier from the base station to which the camp-on cell belongs, and switches to the target cell according to the switching indication; and the terminal receives cluster group call signaling and group call radio resource configuration signaling that are sent by a base station to which the target cell belongs, and configures a group call service according to the cluster group call signaling and the group call radio resource configuration signaling. The technical solution of the present invention can reduce the interrupt latency of a group call service during movement of a terminal.