86 results about "Local community" patented technology

A software application, which presents aggregated content including broadcast, Internet, and local media on a single HDTV display screen. For the most part, this information is pulled from existing databases and supplied by means of an entertainment portal, and then synchronized, resized, and displayed on a single HDTV display screen. This allows mixed entertainment content from creators, broadcasters, advertisers, manufactures, websites, and home consumers to be viewed on a single HDTV display screen, thereby creating a single-screen home entertainment experience. In operation, the screen is divided into multiple areas 200, 202 where web content, which can be continuously updated, is displayed at the same time live video is being aired. This can include any and all types of content; such as news, stock quotes, weather forecast, sports scores, on-line shopping, on-line multi-player games, local community information, etc.

A web-centric application which acts as a beacon for an entrepreneurial and venture capital community or series of communities that offers a plurality of interactive products that primarily profile, map and match needs to capabilities for new and improved methods for venture incubation and acceleration. A set of interactive business planning and management tools, and, access to capital, investments, strategic alliances, and mergers and acquisitions that offer electronic access and downloadable hard copy within a private self-contained profiling system that maximizes business efficiencies. A method for the formulation of a virtual local community through one or a series of nodes that are capable of being connected through a central point or associated links in order to enhance and expand knowledge-bases, services, networks and business opportunities. A method for collaboration and networking amongst the members within the local community(s).

The present invention discloses a discrete particle swarm optimization based local community detection collaborative filtering recommendation method, mainly in order to solve the problem of low recommendation accuracy due to that the prior art has sparseness when obtaining similarity data among users. The method comprises the following steps: obtaining scoring information of users to the recommendation item, and indirectly generating a relationship network among the users by using the scoring data of the users to the to-be-recommended item; calculating similarity among the users, carrying out local community detection on the user relationship network through the similarity so as to obtain the user community with the densest local, and expanding the user community to obtain the local user community; dividing the user relationship network into a plurality of user communities, selecting k users with the largest similarity in the user communities to form a neighbor user group; and according to the neighbor user group, predicting the score of the items that are not evaluated by the target users, and recommending the item with the largest predictive score to the users. According to the method disclosed by the present invention, a better recommendation result can be obtained, and the method can be applied to recommend items that the user is interested in to the user.

The invention is directed to manufacturing fertilizers having commercial levels of nitrogen reacted with organic substances. The process comprises treatment of organics with acid that acidifies and heats a mix causing the hydrolysis of polymers. The acidified organic mix is injected sequentially with a nitrogen base under conditions that result in a partially neutralized melt. The sterilized and liquefied organic matter is disbursed over recycled material for production of granules in a granulator before final drying. The process is green scalable, and safe for the location of community organics processing facilities in locations without generating a nuisance to local communities. Fertilizers also provide a green, dual nitrogen-release profile when applied to crops releasing a bolus of nitrogen over one to two weeks following application followed by a continued slow or enhanced efficiency release of nitrogen over a growing season.

The invention discloses a community security and protection monitoring system and method based on digital televisions. The system comprises a community security and protection monitoring system client side, a community security and protection monitoring system server, a community security and protection monitoring system managing platform and a community security and protection monitoring facilities, wherein the community security and protection monitoring system client side is composed of intelligent set top boxes and the digital televisions, the community security and protection monitoring system server is composed of a monitoring video database, a user information database and a user identity authentication module and is used for receiving service requests transmitted by the client side, the community security and protection monitoring system managing platform can carry out management and maintenance on the database of the community security and protection monitoring system server through a WEB mode, and the community security and protection monitoring facilities are formed by monitoring cameras, system entrance guard cards and alarms. Through the implementation of the community security and protection monitoring system and method based on the digital televisions, the intelligent set top boxes and the digital televisions are connected with the security and protection monitoring system of the local community, residents can check real-time monitoring videos in the community through the digital televisions, all the community residents are made to participate in the community security and protection, and the whole people security and protection can be achieved.

The invention provides a link prediction method based on local community information. The link prediction method comprises the following steps: step 1, establishing a network model G, and calculating an assortativity coefficient of the network; step 2, using node pairs without connecting edges in the network as candidate node pairs, preparing to predict an unknown or a future link among these node pairs, and recording the node degree of two nodes; step 3, calculating DU by referring to both the assortativity coefficient and the node degrees of the node pairs without connecting edges; step 4, extracting and establishing a common neighbor network formed by the current two candidate nodes and a common neighbor node between the two candidate nodes; step 5, extracting and establishing a local community network where the common neighbor node is located, and calculating the similarity of the current two candidate nodes; step 6, establishing a similarity list of node pairs arranged in a similarity descending order; and step 7, obtaining the node pairs at the front of the similarity list to serve as the node pairs which are most likely to generate a connected edge in the future and are obtained by a link prediction algorithm. The link prediction method provided by the invention has relatively high reliability and a good prediction effect.

The invention discloses a low-complexity interference alignment method of a multiple input multiple output (MIMO)interference channel system. The low-complexity interference alignment method includes: firstly, obtaining an interference channel matrix from other community base stations to local community users, and randomly initializing a pre-code matrix of base stations; secondly, obtaining an interference covariance matrix of users according to the pre-code matrix and the interference channel matrix, and then obtaining an orthogonal basis of an interference receiving subspace; thirdly, updating the pre-code matrix according to the orthogonal basis of the interference receiving subspace, and when an updated pre-code matrix dissatisfies conditions of convergence, recalculating the orthogonal basis of the interference receiving subspace, and if not, obtaining a final orthogonal basis of the interference receiving subspace according to the updated pre-code matrix which satisfies the conditions of the convergence; fourthly, obtaining a post-processing matrix according to the final orthogonal basis of the interference receiving subspace; and finally, performing zero forcing processing on a signal according to the post-processing matrix to obtain a signal with interference eliminated. The low-complexity interference alignment method of the MIMO interference channel system is simple in process and high in accuracy rate, and can reduce computation complexity on the premise of keeping system data throughout capacity.

Turbines are attached to the out-flow discharge drain lines of public sewer systems to convert the kinetic energy of the flowing and often pressurized waste water to electrical energy, by using Hydro-Generators and conducting this new electrical power back to the power grid for the local community. It meets increasing consumer demand for more public services like water/sewer/electricity generating electrical power using the resources that are already at hand, and must dispose of on a daily basis. It will be able to meet the future demands of a growing population. It is harmless to the environment and will automatically increase the electrical supply as the demand continues to increase.

A cross street station and interchange for use at the intersection of a local traffic artery with significant pedestrian-oriented improvements and features that runs between but not through two communities and a primary traffic artery that divides two dissimilar communities. It uses a variable bi-level regional mass transit platform for ticketed passengers lowered from the upper level of the cross street station and interchange to the street level and provide a platform level with the regional mass transit vehicle floor and a ramp to the height elevation of the sidewalk to disembark arriving regional mass transit passengers and allow for the boarding of the new mass transit passengers. The cross street station and interchange includes in close proximity to this platform a metropolitan mass transit stop on the primary traffic artery and local community transit services stop on the local traffic artery that can also accommodate paratransit passengers.

The invention relates to the technical field of a network and particularly relates to a local community digging method of a complicated network, which can effectively identify a local community structure of the complicated network, has lower time complexity, and has fewer wrongly-divided nodes. The local community digging method comprises the following steps of: taking a maximum degree node in the network as a starting node and calculating a neighbored node to obtain a neighbored node set; finding out a node which has the most common neighbored nodes with the maximum degree node; forming an initial local community by the two node sets; obtaining each neighbored node proximity of the initial local community and adding the node with the maximum proximity into the initial local community to form a new initial local community; calculating a Q value of the initial local community; and repeating the steps until the Q value of the formed new initial local community is more than 0 or the node in the network is zero.

The invention relates to a local community detection method based on similarity, namely an-NSA (Node Similarity based Algorithm). The method is an efficient and stable local community detection methodbased on similarity, and the implementation process of the method comprises two stages, namely, the first stage of constructing an initial community structure of a network, the second stage of optimizing the initial community structure, and merging some small and sparse communities to obtain a final community structure. The method can solve the problem that a global method cannot be suitable fora large-scale network due to low efficiency, and can solve the problems that many existing local methods are unstable in performance and poor in detection result quality. Meanwhile, the invention further provides a measurement index-common metric, the scale and the sparse degree of the communities are comprehensively measured, and the small communities can be effectively merged.

The invention discloses a method and a system for entrance guard remote control by telephone, and an entrance guard gateway, and relates to the field of entrance guard monitoring. The method comprises: an entrance guard gateway receiving entrance machine sent a rering signal when an indoor machine is unanswered, the calling number of the rering signal is an entrance machine number, and the called number of the rering signal is the indoor machine number; the entrance guard gateway inquires a bound resident contact phone number according to the entrance machine number and the indoor machine number in the rering signal; and the entrance guard gateway distributes a temporary number for the rering signal, and performs an outgoing call, the calling number of the outgoing call is the distributed temporary number, and the called number of the outgoing call is the resident contact phone number, so that after the outgoing call is answered, a resident can perform remote conversation with a visitor, and the resident can perform remote control on the entrance machine after confirming the identity of the visitor. The technical scheme solves the problem that a conventional building talk-back and entrance guard system can be used only in the internal net of a local community, and a resident can remotely control entrance guard through a phone.

An advanced mobile terminal converges multiple wireless transmission technologies through utilizing a cost-effective and spectrum-efficient mobile cloud solution by introducing Virtual Mobile Server (VMS), Virtual Register and Call Switch (VR/CS) and OWA Community systems and methods based on the innovative open wireless architecture (OWA) technology platform, and the mobile terminal is able to seamlessly roam in the local community without relying on traditional cellular mobile networks for the integrated smart home, smart office and smart community platform of the smart community mobility solutions among home, neighbors and local communities.

The invention provides a network unknown connection edge prediction method based on a second-order local community and preferential attachment. The method comprises the following steps: constructing a network model, and obtaining first-order common neighbor nodes and second-order common neighbor nodes of a pair of unconnected nodes, wherein the nodes and the connection edges between the nodes form the second-order local community; recording the total number of the nodes and connection edges of the local community, and meanwhile, recording the number of neighbors, outside the community, of two seed nodes; calculating volume coefficient, edge-clustering coefficient and simple harmonic average distance of the community and second-order local community coefficient; calculating similarity score index between the node pair; traversing the whole network, and for any two unconnected nodes, calculating similarity score index between the corresponding node pair; and ranking similarity scores between all of the unconnected node pairs in a descending order, and taking nodes corresponding to the front m score indexes as predicted connection edges. The method takes the second-order local community and preferential attachment information of the seed nodes into consideration, and makes full utilization of information of a network local structure, and is good in prediction effect and high in accuracy.

The invention provides a method, a device and a base station for allocation of a PRB resources, wherein the method comprises the following steps: acquiring a local community call PRB resource allocation start index according to PCI of a local community; determining a call PRB resource region of a user terminal according to the call PRB resource allocation start index; allocating call PRB resources for the user terminal in the call PRB resource region. In the embodiment provided by the invention, the community call PRB resource allocation start index is acquired according to the PCI of the community, and the call PRB resource region is determined for the user terminal according to the call PRB resource allocation start index to ensure that the call PRB resources of the communities with different PCIs are not overlapped; the call PRB resources are allocated to the user terminals in different call PRB resource regions, so that interference caused by a reason that the user terminals of the local community and the user terminals of an adjacent community use the PRB resources of the same PRB region is reduced or avoided, and thus the success rate for the base station to call the user terminals is increased.

The invention provides a home-based care service system for the aged. The home-based care service system for the aged comprises a detection unit, a service supervision unit and a remote user end, wherein the detection unit sends detected vital sign data to the service supervision unit which analyzes the data and then sends the data to the remote user end to view the monitoring data and health service. Compared with the prior art, the home-based care service system for the aged has advantages of integrating local service resources, facilitating service supervision, and introducing service projects. A housekeeping module, an emergency center, a family doctor, an equipment distribution module, and an after-sales processing module are established and comprise services such as housekeeping, escort, medical treatment, medicine delivery and medical examinations. Thus, the worries of children and the aged are removed. A user mainly provides services for the aged in the areas under administration to facilitate communication and management. The user can fully grasp the health, safety, need information of the aged, works together with local community doctors to facilitate the development of chronic disease management and prevention.

A local community is provided access to a network served by strands of fiber that are routed in a common ribbon or cable sheath. The strands are cut, however, so that there is not a continuous optical path along a fiber strand from the beginning to the end of the cable. Instead, the cut ends of the fiber are each routed to separate customer premises. In this manner, a single cable or ribbon of fiber strands reaches twice as many customer premises. Network access is provided to customers by connecting access equipment, such as switching equipment, to the beginning and ending sides of the fiber ribbon or cable, so that network access is provided to both sides of the cut fiber strands.

The invention discloses a complex network local community discovery method. According to the method, a network local community to which a source node belongs is found out through gradual extension starting from an initial community containing the source node, and the initial community determining method comprises the steps of S1, initializing a core path and adding the source node to the path; S2, calculating the value of strength of connection between each node in a neighborhood with the last node in the core path as the center and the last node, and finding out the node z enabling the connection strength to be the highest; S3, judging whether the node z is in the core path, adding the node z to the core path and returning to S2 if not, and filtering redundant nodes probably existing the core path if yes; S4, determining the node in the core path as the initial community. According to the method, the direction of a community core is judged through the code connecting strength values, the community core can be found out accurately from the source node, accuracy is effectively improved, and the problem of sensitivity on node selection of existing methods is avoided.

The invention discloses a second-order local community and common neighbor proportion information-based method for predicting unknown connected edges of a network. The method comprises the steps of building a network model, taking any pair of unconnected nodes as seed nodes, and recording total quantities of first-order and second-order neighbors of the seed nodes; obtaining first-order and second-order common neighbor nodes of the seed nodes, wherein the nodes and connected edges among the nodes form a second-order local community; recording total quantities of the nodes and the connected edges of the community; calculating a viscosity coefficient, an edge-clustering coefficient, a simple harmonic average distance and a second-order local community coefficient of the community; calculating a similarity score index between node pairs; and traversing the network, calculating a corresponding similarity score index for any two unconnected nodes, arranging similarity scores among all unconnected nodes according to a descending order, and taking the node pairs corresponding to first m indexes as predicted connected edges. According to the method, the second-order local community and the proportion of the common neighbors of the seed nodes in the neighbors are considered, and local structure information of the network is fully utilized, so that the prediction effect is good and the accuracy is high.