757 results about "Self-organization" patented technology

A nanometer size roughened structure is formed on a surface of a light-emitting element, and luminous efficiency is improved. The roughened structure on the surface of the light-emitting element of the invention is formed into the following shape such that the refractive index smoothly changes: (1) the mean diameter of projections on the roughened surface is smaller than the light wavelength; (2) a pitch of the roughened surface is irregular; and (3) positions of the top and bottom of the roughened surface are distributed from their mean values within the light wavelength in order to give a smooth gradient of the refractive index. The surface of such light-emitting element is obtained by forming a thin film on the surface of the light-emitting element using a resin composition which contains a block copolymer or graft copolymer and forms a micophase-separated structure in a self-organization manner; selectively removing at least one phase of the microphase-separated structure of the thin film formed on the surface; and etching the surface of the light-emitting element using the remaining phase as an etching mask.

Method and apparatus for the self-organization of nodes into groups in network computing environments. Embodiments may provide the ability to deploy nodes on a network, and to allow the nodes to organize into groups without human intervention. In one embodiment, a node may broadcast a query looking for a master node for the group. If the query produces no responses, the node may self-elect as the master node for the group and the node may broadcast its presence as the master node. If two or more nodes self-elect as master nodes, the nodes may negotiate to determine which node will be the master node. If the master node becomes unavailable, the remaining nodes in the group may elect a new master node. Some embodiments may be implemented on a peer-to-peer platform, such as the JXTA peer-to-peer platform, which may allow the scope of the group to span subnetworks and networks.

A data analysis system with dynamic information extraction and self-organizing evidence construction finds numerous applications in information gathering and analysis, including the extraction of targeted information from voluminous textual resources. One disclosed method involves matching text with a concept map to identify evidence relations, and organizing the evidence relations into one or more evidence structures that represent the ways in which the concept map is instantiated in the evidence relations. The text may be contained in one or more documents in electronic form, and the documents may be indexed on a paragraph level of granularity. The evidence relations may self-organize into the evidence structures, with feedback provided to the user to guide the identification of evidence relations and their self-organization into evidence structures. A method of extracting information from one or more documents in electronic form includes the steps of clustering the document into clustered text; identifying patterns in the clustered text; and matching the patterns with the concept map to identify evidence relations such that the evidence relations self-organize into evidence structures that represent the ways in which the concept map is instantiated in the evidence relations.

An ad hoc network organizes itself to provide communications without need for an a priori designated central control mechanism or base stations. Such self-organization is challenging in a multihop ad hoc network having member nodes that are highly mobile and widely distributed. A Synchronous Collision Resolution (SCR) protocol and a Node State Routing (NSR) protocol are well suited to provide efficient ad hoc network organization. SCR is an access protocol that achieves high capacity collision free access using a signaling approach that creates a random cellular-like network after each signaling period. NSR is a routing protocol that uses the dissemination of node states to predict link availability and to assign metrics to those links for the creation of optimized routes. In use, the present invention provides quality of service and supports energy conservation for the mobile nodes.

In one embodiment the present invention provides a wireless communication system for medical sensor data. This communications system includes a portable unit that connects to a wireless sensor and a monitor unit that connects to a sensor monitor. Once activated, the units will self organize into a wireless communication structure controlled by the portable unit. As other pairs of units activate, they can self-organize their transmissions by joining an existing network or by creating new networks.

A cluster tree network formed by self-organization of a number of nodes. The method of self-organization includes processes for cluster formation, cluster network maintenance, intra-cluster communication. In the cluster formation process, each node discovers if any neighboring node is a cluster head or if any node is already a member of a cluster (thus making it a networked node), and if a cluster head or a networked node is discovered, each node establishes a communication link with the cluster head or the networked node. If no cluster head or networked node is discovered, the node itself becomes a cluster head. The network is maintained by each node periodically broadcasting a HELLO message to neighboring nodes, receiving responses to the HELLO message and updating a neighbor list in accordance with responses to the HELLO message. Multi-cluster networks are also provided using the processes of inter-cluster network formation, inter-cluster network maintenance, and inter-cluster communication. The resulting network has one or more clusters of nodes, each with a cluster head and a number of member nodes, each assigned a node identifier by the cluster head. In a multi-cluster network, a designated device assigns identifies to each cluster head in the network. Border nodes, which are members of at least two clusters, act as routers connecting the clusters and relaying information packets between the clusters.

A mask having features formed by self-organizing material, such as diblock copolymers, is formed on a partially fabricated integrated circuit. Initially, a copolymer template, or seed layer, is formed on the surface of the partially fabricated integrated circuit. To form the seed layer, diblock copolymers, composed of two immiscible blocks, are deposited in the space between copolymer alignment guides. The copolymers are made to self-organize, with the guides guiding the self-organization and with each block aggregating with other blocks of the same type, thereby forming the seed layer. Next, additional, supplemental diblock copolymers are deposited over the seed layer. The copolymers in the seed layer guide self-organization of the supplemental copolymers, thereby vertically extending the pattern formed by the copolymers in the seed layer. Block species are subsequently selectively removed to form a pattern of voids defined by the remaining block species, which form a mask that can be used to pattern an underlying substrate. The supplemental copolymers augment the height of the copolymers in the seed layer, thereby facilitating the use of the copolymers for patterning the underlying substrate.

The invention belongs to the technical field of a new chemical material, and in particular relates to a high-durability super-hydrophobic self-cleaning coating material and a preparation method thereof. The coating material of the invention is prepared by curing and drying nanoparticles with photo-catalytic activity, a low-surface-free-energy polymer and a cross-linking agent at the room temperature, wherein the low-surface-free-energy polymer consists of one or more of polysiloxane fluoride, dimethyl silicone polymer and polyphenylene methyl siloxane, which contain active groups, such as hydroxyl alkoxy group, carbon-carbon double bond, silanol group, siloxy group, and the like; the cross-linking agent is hydrogen-containing silicone oil or aminosilane; and the mass content of the photo-catalytic nanoparticles in the coating ranges from 10 to 60 percent. The coating is formed into a micro-nanostructure by nanoparticle self-organization; a super-hydrophobic self-cleaning coating with lotus effect is prepared from the coating and a cross-linked filming matrix with low surface energy; the persistence of a lotus-shaped super-hydrophobic characteristic of the coating is realized by using the photo-catalytic decomposition characteristic of an organic pollutant for the nanoparticles; and thus the material is suitable for large-area construction and has high weathering resistance andprominent self-cleaning characteristic.

A sensor node detects a plurality of information-based events. The sensor node determines whether at least one other sensor node is an information neighbor of the sensor node based on at least a portion of the plurality of information-based events. The information neighbor has an overlapping field of view with the sensor node. The sensor node sends at least one communication to the at least one other sensor node that is an information neighbor of the sensor node in response to at least one information-based event of the plurality of information-based events.

A mask having features formed by self-organizing material, such as diblock copolymers, is formed on a partially fabricated integrated circuit. Initially, a copolymer template, or seed layer, is formed on the surface of the partially fabricated integrated circuit. To form the seed layer, diblock copolymers, composed of two immiscible blocks, are deposited in the space between copolymer alignment guides. The copolymers are made to self-organize, with the guides guiding the self-organization and with each block aggregating with other blocks of the same type, thereby forming the seed layer. Next, additional, supplemental diblock copolymers are deposited over the seed layer. The copolymers in the seed layer guide self-organization of the supplemental copolymers, thereby vertically extending the pattern formed by the copolymers in the seed layer. Block species are subsequently selectively removed to form a pattern of voids defined by the remaining block species, which form a mask that can be used to pattern an underlying substrate. The supplemental copolymers augment the height of the copolymers in the seed layer, thereby facilitating the use of the copolymers for patterning the underlying substrate.

A base station includes an interface for providing communication with at least one other base station and communication with a network server in a communication system, a processor coupled to the interface, and a memory coupled to the processor. The memory stores program instructions executable by the processor to connect to the network server using the interface, send information to the network server regarding femtocell capability, configure operating parameters of the base station based on the information, including to configure transmission power of the base station, and operate the base station based on the operating parameters.

A method for creating an artificial intelligence entity, specifically an artificial intelligence that is sentient and sapient is provided. The invention is capable of intelligence, human interaction, adaptive / modifiable code and thought, reasoning, learning; autonomous self-organization based on environment changes, interaction, and / or internal activity only; and other advance features. This permits a non-human, including a computer software entity, to become conscious or self-aware and interact, with the ability for sapience and understanding, as if it were human. It also has the ability to integrate with other electronic, non-electronic, or suitable devices.

There is provided a method for pattern formation, including a step of coating a composition comprising a block copolymer, a silicon compound, and a solvent for dissolving these components onto an object to form a layer of the composition on the object, a step of subjecting the layer of the composition to self-organization of the block copolymer to cause phase separation into a first phase, in which the silicon compound is localized, having higher etching resistance by heat treatment or / and oxygen plasma treatment, and a second phase comprising a polymer phase and having lower etching resistance by heat treatment or / and oxygen plasma treatment, and thereby forming a pattern layer with a fine pattern, and a step of etching the object using as a mask the thus formed pattern layer.

The invention relates to a coverage and capacity self-optimization device of a self-organization network in LTE / LTE-A and a method thereof. A fault detection unit monitors faults related to the coverage and the capacity in real time in a mobile communication network, a learning and matching unit learns and matches with history event knowledge, and wireless parameters are initially configured according to the most similar event. Then a parameter decision unit adjusts the initially configured wireless parameters on the premise of taking account of the mutual influence of different wireless configuration parameters, and a utility function is introduced to evaluate the efficiency of the self-optimization process to finally finish the utility maximization on the premise of comprehensively taking account of network / business and the requirements of operators, and realize the coverage and capacity automatic optimization of the self-organization network in the LTE / LTE-A. The invention has the advantages that the invention realizes the accurate position of fault sources and the correct decision by using the existing coverage and capacity self-optimization model, thereby achieving the target of coverage and capacity self-optimization.

The invention provides an organic calculation based coordination control method for a traffic signal of a zone boundary and relates to the field of urban traffic signal control and manual intelligence. A device comprises a traffic flow monitoring module, a self-optimizing module, a self-organizing module, an evolution learning module, a self-assessment module and a self-setting module. According to the method provided by the invention, the coordination among intersections of the zone boundary is realized and the traffic jam at the intersections of the zone boundary is avoided.

An information processing apparatus includes a first learning unit adapted to learn a first SOM (self-organization map), based on a first parameter extracted from an observed value, a winner node determination unit adapted to determine a winner node on the first SOM, a searching unit adapted to search for a generation node on a second SOM having highest connection strength with the winner node, a parameter generation unit adapted to generate a second parameter from the generation node, a modification unit adapted to modify the second parameter generated from the generation node, a first connection weight modification unit adapted to modify the connection weight when end condition is satisfied, a second connection weight modification unit adapted to modify the connection weight depending on evaluation made by a user, and a second learning unit adapted to learn the second SOM based on the second parameter obtained when the end condition is satisfied.

The invention discloses self-organization operation processing method and device. The method comprises the following steps of receiving one or more self-organization operation information of the same operation object; determining the mode of each self-organization operation of one or more self-organization operations according to coordination strategies; and performing each self-organization operation according to the performing mode of each self-organization operation. By the method, the self-organization operations of which each SON (Self Organizing Network) needs to be automatically performed can be performed in a controllable state so as to effectively avoid the pong effect.

The invention belongs to the technical field of vehicle-mounted systems and automobile electronics, and relates to a pedestrian and vehicle detecting method and system based on multi-vehicle cooperation. The method comprises the steps that a vehicle-mounted sensor collects the state data of traveling vehicles, and a vehicle-mounted camera is guided to collect images; time stamps, corresponding traveling state data and current GPS data are added to the collected images, and a vehicle-mounted self-organization network is used for broadcasting the images to vehicles on the adjacent network nodes; an image processing module processes local data and the received data to synthesize a panoramic image and carries out pedestrian detection to generate an early-warning prompt instruction; an early-warning prompt module prompts drivers to avoid dangers which possibly appear in a sound and displayer display mode after receiving the instruction of the image processing module. According to the pedestrian and vehicle detecting method and system, the multi-vehicle cooperation way is provided for the first time, view blind zones existing during driving are eliminated for users by means of the different position advantages of different vehicles, and driving safety is improved.

The invention discloses a cloud-aided intelligent warehouse management robot system and method. The system and the method support a cloud platform, apply a software definition network, realize human-machine interaction, and realize a real-time access function of a whole warehouse under the interaction, self organization and coordination of multiple robots. In the operating process, the robots assist in planning pickup paths via the cloud platform, search and analyze customer orders in a database, and acquire information of goods to be carried. The robots confirm goods by scanning RFID (Radio Frequency Identification) labels, scan surrounding information by using self cameras, upload the information to a cloud end for processing and analyzing to plan operating tracks, and accurately deliver the goods to a packing place for packing. Meanwhile, the robots can share knowledge bases, control modes and network modes and interact with each other via the cloud platform to realize group sensing intelligence, so that each robot not only can independently complete a task, but also can jointly complete various tasks by cooperation.

The invention relates to a single-point self-organization traffic signal controlling method based on a wireless sensor network. The method comprises the following steps: (1) a vehicle node is arranged in the interior of a running vehicle, information collecting nodes are arranged at a road side, and converging nodes are arranged at a crossroad; (2) (Eta, Theta) represents a driveway where the vehicle is in, and every driveway is allocated with a phase p(Eta, Theta) to construct a candidate phase set; (3) traffic data is collected in real time; (4) discrimination is carried out on traffic status of the crossroad, if a non-congestion status is discriminated, an original single time allocation scheme is implemented, but if not, Step (5) is carried out; (5) when waiting time of a certain direction exceeds the upper limit of waiting time, the flow direction with maximum waiting time is selected as a key flow direction which is otherwise determined by calculating pkey (Eta, Theta), green light time is allocated for a planned release phase where the key flow direction is and the wayleave of a green light is granted. The method can provide real-time accurate traffic data detection and realize good controlling result in traffic jams.

The invention relates to a method for routing a queue tree in a wireless self-organization network applicable to a monitoring system. The invention includes a routing generation process, a dynamic maintenance of the routing and a monitoring data amalgamation transmission based on routing arithmetic. A network node selects the neighboring node with a small hot count to send a routing establishment request, and according to a handshaking mechanism, a routing relationship between an upper level and a lower level is established, and the whole network is formed a plurality of tree routing structures; according to ways of a connection detection, a past-due detection and upper node switching, a dynamic maintenance of the routing is realized, changes in network communication topology caused by factors such as the motion of the node and power change are adapted; by using the network structure of the tree routing, the node is able to inosculate the a communication desire to monitor the data in due time at the same time of maintaining the route. The method of the invention has the advantages of low spending on the communication, small delay of transmission and steady and reliable network.

Disclosed is a system comprising: a reconfigurable hardware platform; a plurality of hardware units defined as cells adapted to be programmed to provide self-organization and self-maintenance of the system by means of implementing a program expressed in a programming language defined as DNA language, where each cell is adapted to communicate with one or more other cells in the system, and where the system further comprises a converter program adapted to convert keywords from the DNA language to a binary DNA code; where the self-organisation comprises that the DNA code is transmitted to one or more of the cells, and each of the one or more cells is adapted to determine its function in the system; where if a fault occurs in a first cell and the first cell ceases to perform its function, self-maintenance is performed by that the system transmits information to the cells that the first cell has ceased to perform its function, and then the self-organisation is performed again in order to provide that a second cell undertakes the function of the first cell.

The invention discloses a social network-based vehicle-mounted self-organization network routing method and belongs to the technical field of a vehicle-mounted wireless network. The method comprises the steps of (1) utilizing neighbor node information to calculate the direction angles and the effective values of nodes; (2) adopting a greedy algorithm added with a cache mechanism for the nodes on a road section, wherein intersection nodes adopt the neighbor nodes with the maximum effective values larger than those of the current nodes in an angle threshold value range as the next-hop transmission relay; (3) enabling vehicle nodes to study from the self history transmission actions by a Q learning algorithm assisted by a routing algorithm, wherein the nodes select the neighbor nods enabling a reward function to achieve the maximum convergence value as the next-hop transponder. The complexity of the routing algorithm is reduced, the system cost is reduced, and the Q learning algorithm is used for assisting the routing selecting, so the data packets are enabled to be transmitted along the path with the minimum hop number, and the time delay is reduced; the delivery rate of the data packets is improved and the end-to-end time delay and the consumption of system resources are reduced.

The utility model relates to a dynamic modeling and control technique of a self-moving sensor network and belongs to the sensor network technology. According to the technical proposal provided by the utility model, the dynamic modeling and controlling technology of a self-moving sensor network comprises the steps: the step I: build a distributed moving sensor network model based on the local Delaunay triangulation and other applicable diagram; the step II: use two methods to perform the distributed self-arrangement and the self-organization in the network for the sensor controlling node of each region in the distributed moving sensor network model; the step III: use the formation algorithm to control the network node formation and the node cooperation to achieve the purpose of fully energy-saving; the step IV: build the ad-hoc route data transmission protocol of the self-organization network of the distributed mobile robots to realize the stable work of the entire self-moving sensor network. The utility model can provide an algorithm for the repeatable configuration, cooperation, route development and verification of the sensor network with a plurality of moving sensor nodes.

The invention relates to a sensor network node device of security monitoring of a natural gas pipe network, mainly comprising a power module, a sensor module, a processor module and a wireless communication module. The node acquires parameters related to the security of pipelines and ambient by an acceleration sensor, a gas sensor and a temperature sensor in the sensor module under the control of the processor module; the nodes carry out data interaction by the wireless communication module, construct self-organization and multi-hop wireless sensor network, and finally transmit the information related to the safety at the nodes to a monitoring center. The wireless sensor network technology is adopted to carry out on-line real-time monitoring to the natural gas pipe networks of cities, and can find insecure factors of damage, leakage and the like of the construction in time, improve the security of operation of the natural gas pipe networks and reduce manual maintenance cost.

The invention discloses a multi-hop clustering routing protocol initiated on the basis of a base station. The routing protocol mainly comprises three steps: (1) a flooding process from the base station to other nodes, (2) forming process of a cluster; and (3) a data transmitting process and path maintenance, wherein each node establishes a pervious hop of a planar route of the node during the flooding process; according to received information, the node determines the number of adjacent nodes so as to determine whether to act as a cluster head; the forming process of the cluster ensures that the cluster head can identify in-cluster members, realize distributed management of the in-cluster members and ensure that the in-cluster members can confirm identities of the members; and when network path failure occurs caused by node failure on a data transmission path, network nodes can realize self organization to recover a disconnected link through cooperation. After the base station receives a first data packet uploaded by each node, information of an entire routing list is established so as to carry out fixed-point inquiry for any member node during subsequent operation without carrying out renetworking or flooding process.

The invention discloses an ant colony optimization processing method of large-scale multi-target intelligent moving route selection; after data of NTSP target logistics delivery addresses, distances between every two addresses, and M price of cost for passing through each route are obtained, a route planning unit is solved by ant colony optimization technology so as to obtain a specific walking route for intelligent mobile-agent delivery, and the route is outputted to an executive mechanism for realization. When the method is used to solve the problem of large-scale multi-target intelligent moving route selection, the invention has good optimization performance, and has the advantages of parallelism, self-organization, strong robustness, and the like, and the obtained solutions are large in quantity, high in quality, and have strong approximation capability to the real Pareto solution set; the obtained solution set has uniform distribution; the calculation speed is high. The inventioncan be used in intelligent processing units of route planning systems in fields of logistics distribution, intelligent traffic, internet, robots, etc.

The invention relates to an atmospheric pollution monitoring system based on a wireless sensor network, which comprises wireless sensor network nodes, wireless sensor network sink nodes, local monitoring subcenters, a remote control terminal and a mobile phone terminal. Besides the atmospheric pollution monitoring system based on the wireless sensor network, the invention also customizes a wireless sensor network multi-level heterogeneous clustering routing protocol at the stage of network self-organization; the design of the system is reasonable, the system is easy to deploy, and the intelligent degree is high; when being applied on a large scale, the system can balance the energy consumption of the wireless sensor network nodes, accurately and timely reflect the situation of atmospheric pollution and give the alarm, the wireless sensor network nodes within monitored areas can be conveniently self-networked, and are highly scalable, a large-scale monitoring system can be constructed, and the system is suitable for popularization and application.

The invention discloses a method for self-configuring physical cell identifiers (PCI) for a honeycomb mobile communication network. The method comprises the following steps that: a network self-organization server collects the geographic position, antenna height, direction angle and downtilt information of a new base station; based on an experience path propagation model of the geographic position of the new base station, the network self-organization server calculates a path loss value and an antenna gain value between all base stations and determines a propagation loss value between all base stations; and by using a graph theory method, the network self-organization server globally optimizes reusing distances of the PCIs, allocates the optimized PCIs to the new base station, and then validates and screens the available PCIs by using a neighbor cell relationship list, so that interference between the base stations in which the same PCIs are used, and the PCIs can be accurately and reasonably configured. The method is applicable to automatic allocation of appropriate PCIs to the new base station which is not configured with the PCIs. By adoption of the method, configuration of the PCIs for the new base station can be quickly, conveniently and automatically finished, and the theoretical optimum performance can be realized.