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118results about How to "Maximize coverage" patented technology

Autonomous Infrastructure Wireless Networks

A method for deploying a cellular wireless communication network is provided. The method consists of: providing one or more micro base stations; autonomously deploying the micro base stations using a network access point linked to a cellular wireless communication network; and enabling configuration of the micro base stations to execute network operation commands from a network controller associated with the wireless communication network. Another aspect consists of enabling cooperation and network connectivity between micro base stations and other base stations, including micro base stations and large network base stations. Network connectivity to one or more cellular communication terminals associated with individuals or businesses subscribing to the cellular wireless communication network is enabled. A wireless network is also provided which is configurable to link a cellular wireless network through a high data transmission connection so as to define at least one access point between the micro base station and the wireless network. The network includes a wireless interface and receives operation commands from a network controller for configuration of micro base stations, to support the linking of cellular wireless terminals to the wireless network via the wireless interface by operation of the micro base station, as an intermediary. A corresponding system and computer readable medium is also provided
Owner:DE SOUSA ELVINO SILVEIRA MEDINA

Method for the extraction of relation patterns from articles

A method for building a knowledge base containing entailment relations, includingproviding at least one input pattern (p) with N pattern slots (N>1), the input pattern (p) expressing a specific semantic relation between N entities that fill the N pattern slots of the input pattern (p) as slot fillers,providing at least one cluster (c) of articles, the articles of the cluster (c) relating to a common main topic;processing the articles with respect to the input pattern (p) and identifying the identities which match the semantic type of the N pattern slots;if the at least one input pattern matches a portion of an article (a) of the at least one cluster (c):storing the N slot fillers (s1, s2, . . . , sN), which match the slots of the pattern (p), and a cluster identifier Ic of the cluster (c) into a first table S, wherein the N-tuple (s1, s2, . . . , sN) and the cluster identifier Ic of the associated cluster (c) form one element of the table S;for each element of table S, identifying appearances of the slot fillers (s1, s2, . . . , sN) in a plurality of articles of cluster (c) and for each appearance so identified, storing the slot fillers (s1, s2, . . . , sN) together with the sentence in which they occur into a second table C0;from the sentences stored in table C0, extracting patterns which span over the corresponding N slot fillers (s1, s2, . . . , sN), the extracted pattern expressing a semantic relation between the N slot fillers; andstoring the extracted pattern together with the input pattern as entailment relation into the knowledge base.
Owner:THE EURO UNION

Cost optimization unmanned aerial vehicle base station deployment method based on an improved genetic algorithm

The invention discloses a cost optimization unmanned aerial vehicle base station deployment method based on an improved genetic algorithm, and mainly solves the problem that the unmanned aerial vehicle base station deployment cost is difficult to optimize in the prior art. The realization method comprises the following steps: 1) establishing a ground wireless communication coverage model of the unmanned aerial vehicle base station; 2) calculating the maximum coverage radius and the optimal hovering height of the unmanned aerial vehicle base station in the unmanned aerial vehicle base station ground wireless communication coverage model scene; 3) deploying the unmanned aerial vehicle base stations at the optimal hovering height, enabling the deployment problem to be reduced from three-dimensional dimensionality to a two-dimensional plane, establishing an unmanned aerial vehicle base station deployment optimization model taking unmanned aerial vehicle base station deployment number optimization as a target, and solving the model to obtain an optimal chromosome; 4) converting the optimal chromosome into a corresponding unmanned aerial vehicle base station coordinate set to obtain an optimal unmanned aerial vehicle base station deployment scheme, reducing the complexity of the deployment problem, improving the solution accuracy, and being applicable to communication network deployment planning, temporary communication network construction and disaster area emergency communication.
Owner:XIDIAN UNIV

Methods and apparatus for splitting, imaging, and measuring wavefronts in interferometry

Apparatus for splitting, imaging, and measuring wavefronts with a reference wavefront and an object wavefront. A wavefront-combining element receives and combines into a combined wavefront an object wavefront from an object and a reference wavefront. A wavefront-splitting element splits the combined wavefront into a plurality of sub-wavefronts in such a way that each of the sub-wavefronts is substantially contiguous with at least one other sub-wavefront. The wavefront-splitting element may shift the relative phase between the reference wavefront and the object wavefront of the sub-wavefronts to yield a respective plurality of phase-shifted sub-wavefronts. The wavefront-splitting element may then interfering the reference and object wavefronts of the phase-shifted sub-wavefronts to yield a respective plurality of phase-shifted interferograms. An imaging element receives and images the phase-shifted interferograms. A computer connected to the imaging element measures various parameters of the objects based on the phase-shifted interferograms. Examples of measurements include flow parameters such as the concentrations of selected gaseous species, temperature distributions, particle and droplet distributions, density, and so on. In addition to flow parameters, the displacement (e.g., the vibration) and the profile of an object may be measured.
Owner:METROLASER
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