53 results about "Community center" patented technology

The invention provides a Web service which enables a publisher to share his digital resources such as an address card or a calendar with a number of subscribers based on different sharing relationships. The Web service includes a host-based interface called “My Community”, for example, with which the publisher manages the share-relationships with his community members. The community members are organized into different groups. Each group includes a number of community members who have a common sharing relationship with the publisher with respect to one or more views of the shared resources. A resource may have multiple views. Each of the views has Metadata describing sharing-styles, as well as version, creation date, size, and the like. Each sharing style corresponds to a specific sharing relationship between a community member and the publisher.

The invention discloses a cross-social-network user identification method based on full-view features. First, community division is carried out on multiple social networks, and reference points are initialized. Then, the following three steps are carried out iteratively: (1) the full-view features of unidentified users are calculated using the reference points in order to calculate the similarity between users; (2) users are identified using an improved stable marriage matching algorithm; and (3) for a newly identified user pair, a reference point set is updated according to the centrality of communities. The three steps are repeated constantly until the reference point set is no longer updated, and a matching anchor link user set is obtained. On one hand, the cross-social-network user identification method of the invention considers the global locations of users in social networks, and is of higher accuracy and recall rate of user identification. In addition, through an iteratively adjusted identification strategy, the problem on how to correctly identify multiple similar user pairs is solved, and the problem of cold start is avoided.

The embodiment of the invention provides a communication resource allocation method, a communication resource allocation system, a terminal and a network side apparatus. The communication resource allocation method comprises the following steps that: terminal equipment measures a current signal-to-leakage-and-noise ratio, a user packet to which the terminal equipment currently belongs can be determined through the current signal-to-leakage-and-noise ratio; when the user packet to which the terminal equipment currently belongs is a community center user packet, the terminal equipment receives information corresponding to a center user transmission band assigned by the network side apparatus, and is accessed to the center user transmission band, and performs uplink transmission on the center user transmission band through using transmitting power which is determined by a predetermined power control mode; and when the user packet to which the terminal equipment currently belongs is a community edge user packet, the terminal equipment receives information corresponding to an edge user transmission band assigned by the network side apparatus, and is accessed to the edge user transmission band, and performs uplink transmission on the edge user transmission band through using a transmitting power maximum allowable value. With the communication resource allocation method, the system, the terminal and the network side apparatus of the invention adopted, the suppression of co-channel interference can be realized in a heterogeneous network.

Methods for bundling disparate sets of web resources to unique string identifiers. The application may contain links to various interactive functions contextual to the web page displayed, and may provide functionality to the user because the various sessions do not open as pop-ups that block the viewing of the web page, or as a new tab or browser window, or as links directing the user to separate web pages; rather the sessions open as semi-transparent windows within the page that do not block the view of the underlying web page and are published seamlessly without having to reload the entire page again. The various interactive functions, such as discussions, shouts, polls and blogs, may be bundled as sets and mapped to certain unique identifiers, such as unique URLs, geocodes, UPC, ISBNs, etc. The bundle organization may be networked, or potentially form a containment hierarchy. By mapping to unique identifiers, the bundles of sets of functionality may create communities centered around a certain topic or book, or may create geographically centered communities.

The invention discloses a logistics system based on an unmanned aerial vehicle, and belongs to the technical field of aviation logistics. The system comprises a main line pipeline, a cargo carrying undercarriage, a cargo grabbing robot, a cargo groove, the unmanned aerial vehicle, a telegraph pole, an unmanned aerial vehicle starting platform, an electric wire, a balcony, an unmanned aerial vehicle landing platform, an unmanned aerial vehicle conveyer, a charging site and branch flow dividing pipelines. According to the pipelines, belt transportation serves as the main manner, the branch flow dividing pipelines are connected with the main line pipeline, and are diffused to all community areas in the urban from the main line pipeline, the cargo carrying undercarriage is connected with the main line pipeline and is used for cargo transport, at the community center, the branch flow dividing pipelines are connected with a community center main floor and is provided with cargo access openings, the cargo grabbing robot is provided with a cargo receiving robot on each of the branch flow dividing pipelines and the cargo access openings, a cargo conveying unmanned aerial vehicle rising and landing platform is adjacent to the telegraph pole, after the unmanned aerial vehicle carries cargoes and is started, after the task is finished, the unmanned aerial vehicle returns to the unmanned aerial vehicle landing platform to be charged, and the unmanned aerial vehicle conveyer conveys the unmanned aerial vehicle to the unmanned aerial vehicle starting platform.

The invention discloses an improved density peak clustering-based social network community discovery method. The method comprises the following steps of: firstly calculating two indexes for each userin a network, wherein the two indexes comprise local densities and relative distances, the local densities are calculated by adoption of Gaussian kernel density estimation, and the relative distancesrepresent a distances between users and points which are greater than the users in the aspect of density and which are close to the users; selecting a point which has a large local density and relatively large relative distance as a community center on the basis of Gaussian distribution, and distributing the residual non-center points to communities of points which are greater than the non-centerpoints in the aspect of density and which are closest to the non-center points; and finally, measuring distance between every two communities on the basis of combination factors, wherein the communities, the combination factors of which are greater than a given threshold value, are combined into one community. Compared with the prior art, the method is capable of discovering spherical and non-spherical community structures in social networks at the same time, so that fewer parameters are needed under the premise of obtaining relatively high correctness and then the problem of clustering communities with any shapes is solved.

A system and method are provided to scientific communities through a web-based infrastructure of databases including a scientific community center. The scientific community center includes a plurality of servers and web pages of general scientific interest and disciplines to all registered members of the scientific community. According to another aspect the invention provides a plurality of opportunities for a member of the scientific community to interact, collaborate and participate in the scientific community center in a global and multicultural environment.

The invention discloses a special detection device for a urine iodine analyzer. The special detection device comprises an incubator, a mixing mechanism and a detecting mechanism, wherein a mounting groove is formed in the incubator, a cuvette is detachably buckled in the mounting groove, and coaxial detecting holes are formed in two opposite side walls in the mounting groove; the mixing mechanismis used for driving to-be-detected urine and a chemical reagent in the cuvette to be mixed uniformly; the detecting mechanism is used for detecting and analyzing the to-be-detected urine in the cuvette. The special detection device of the urine iodine analyzer is simple in structure, convenient to use and low in cost; the urine iodine analyzer provided with the special detection device is particularly applicable to families or community centers and other places and detects and analyzes iodine content of the urine, detection and analysis results can be used for evaluating iodine nutritional status of detected crowds, the urine and the chemical reagent in the cuvette can be mixed rapidly and sufficiently for a reaction by the mixing mechanism, and the problem that detection precision is affected by spill of liquid out of the cuvette due to mechanical stirring or hand shaking is solved.

The individual community hub provides individual customers the ability to access information related to events, businesses, offers, and activities that are a part of the individual customer's local community through the individual customer's online banking account. The individual customer can search, identify, receive offers or discounts from, review, etc. the events, businesses, and activities in which the individual customer might be interested. The information provided to the individual customer may be based on the customer's local community (e.g. geographic location), as well as the individual customer's transaction information captured by the bank each time the individual customer makes a purchase or completes a transaction through the bank. The information may also be based on information obtained from the bank's relationship with local businesses and/or other individual customers. In this way an individual customer's online banking account becomes the individual customer's source of local personalized community information.

The invention relates to the field of complex network mining, in particular to a method for estimating the number of complex network communities. The method for estimating the number of community in complex network is disclosed. The complex network is denoted as graph and denoted as network G (V, E). The network G (V, E) contain m network nodes, denoted as V= (v1, v2,..., vm), wherein the ith network node (1 <= i <= m) is denoted as vi; There are n connections between nodes in the network, which are represented by n edges, denoted as E= (e1, e2, ..., en), where the first edge (1 <=l<= n) is denoted as el; the number of communities contained in the network G (V, E) and the community center nodes are determined. Without any prior information, it can fully reflect the intrinsic structural characteristics of dense network community and sparse network externality. Estimation accuracy of the number of communities in the network is high, which is conducive to improve the estimation performance of network community discovery algorithm, and has high practical value for the analysis of real network data.

The invention provides a network community detection method based on multi-tag propagation. The method comprises the following steps: step S1, a data preprocessing stage for calculating a density value and a distance value of each node; step 2, community center point selection: using the density value and the distance value of each node to select a community center point through a DPC decision diagram; step 3, performing multi-tag propagation according to the community center point, wherein a propagation result is a community detection result; and step 4, comparing the community detection result with a real tag of each node in a data set to prove the effectiveness of the method.

The invention belongs to the technical field of information retrieval, and particularly relates to an attribute community search method fusing hidden relations. The invention provides a stack type auto-encoder model capable of extracting a social network structure and attribute information, and provides a new optimization method mainly for solving the problem that the hidden relation between nodesis not considered in an existing community search algorithm. According to the invention, the hidden relation in the community can be effectively discovered, and the accuracy of searching the community is improved by predicting the community center, so that the searched community has better robustness and expansibility.

The invention provides a method and a system for detecting the number of communities in a microblog network, which can quickly and accurately determine the number of communities in the microblog network and a community center node. The method comprises the following steps: constructing a microblog user network model according to an attention relationship among microblog users; for each user node in the microblog user network model, determining the cohesion degree and separation degree of the user node, and determining the standard score of the centrality of each user node according to the obtained cohesion degree and separation degree; screening user nodes in the microblog user network model according to the obtained standard score of the centrality to generate a candidate community centernode set; and selecting the user nodes of which the cohesion degree and the separation degree meet a preset relationship from the candidate community center node set as community center nodes, and determining the number of communities. The invention relates to the technical field of social networks.

A Business Method Patent for determining the Financial Viability of Constructing a Recreation Center and a Flexible Commercial Center known as the ROCC. The complex device is a one of a kind world class facility that will have a positive impact on wellness, fitness, and the economy of the entire community. Included with this complex is a COMMUNITY CENTER that is a private business. The primary goal of the-ROCC is to create a positive impact on the community. The-ROCC will help promote youth, adult, and family wellness; provide one centralized location for community events and will help spur additional, residential and commercial growth.

The invention provides a method for replying problem feedback comments by television response and a television community. A television community center is set on a television and is registered with a television serial number or a television MAC address to a television server; a user sends problem feedback information to the television server; after receiving the problem feedback information, the television server records the passport number of the user and the television serial number or the television MAC address and forwards the information to a communication terminal with customer service staff; when the television server receives the reply on the problem feedback information from the communication terminal with the customer service staff, the television server sends the reply information to a television information center on a television set corresponding to the reply information, and the user looks over the reply on the television information center, so that the user can carry out problem feedback and receive the feedback problem on the television community of a television terminal, and the user experience of the television and the television community is effectively improved.

The invention discloses an unsupervised community discovery method based on a central node graph convolutional network, and the method comprises the steps: constructing a detection model CN-GCN, employing a center-extension algorithm to extend nodes which have more common neighbors and have similar community member identities on the basis of determining a central node, and forming a central node cluster; and training a GCN model by using the center node cluster, and carrying out clustering or community discovery on the whole network nodes by using the trained GCN model. The community center node cluster can accommodate nodes with more common neighbors and similar community member identities, and the nodes have similar attributes, so that the modularity of the community sub-graph is improved; according to the invention, the CN-GCN model of the community center node is combined, so that the division capability of the node field can be improved.