Q3179952 (Q3179952): Difference between revisions
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(Changed an Item: Edited by the materialized bot - inferring region from the coordinates) |
(Created claim: summary (P836): One of the main technological trends of recent years in the mobile technology market is the geolocation of users from multiple points of view (terminal, application, etc.) One of the segments that begins to emerge is the estimation of location based on the information provided by the available measurements in radio network signalling, mainly based on signal triangulation methods depending on the distance of the base stations. In this sense, Aste...) |
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One of the main technological trends of recent years in the mobile technology market is the geolocation of users from multiple points of view (terminal, application, etc.) One of the segments that begins to emerge is the estimation of location based on the information provided by the available measurements in radio network signalling, mainly based on signal triangulation methods depending on the distance of the base stations. In this sense, Astellia Spain has a solution capable of estimating the location of the user but with some restrictions, mainly motivated by the high volume of data handled._x000D_ According to this, the overall objective of the project is to evolve the current Geolocation solution of Astellia Spain, according to which it is possible to locate a maximum of 2 points for each of the connections (start and end location of the call) and to provide for each of these points a limited number of maps with daily periodicity, towards a massive location of users, with multipoint location and close to the actual time so that it is possible to use the large number of data-related data. Specifically, the requirements focus on moving from two points per connection to being able to locate the user every 10 seconds. In addition, information should be saved at that level of granularity and with multiple data segmentation and periodicity options, to make more dynamic maps with much faster availability to the user. (English) | |||||||||||||||
| Property / summary: One of the main technological trends of recent years in the mobile technology market is the geolocation of users from multiple points of view (terminal, application, etc.) One of the segments that begins to emerge is the estimation of location based on the information provided by the available measurements in radio network signalling, mainly based on signal triangulation methods depending on the distance of the base stations. In this sense, Astellia Spain has a solution capable of estimating the location of the user but with some restrictions, mainly motivated by the high volume of data handled._x000D_ According to this, the overall objective of the project is to evolve the current Geolocation solution of Astellia Spain, according to which it is possible to locate a maximum of 2 points for each of the connections (start and end location of the call) and to provide for each of these points a limited number of maps with daily periodicity, towards a massive location of users, with multipoint location and close to the actual time so that it is possible to use the large number of data-related data. Specifically, the requirements focus on moving from two points per connection to being able to locate the user every 10 seconds. In addition, information should be saved at that level of granularity and with multiple data segmentation and periodicity options, to make more dynamic maps with much faster availability to the user. (English) / rank | |||||||||||||||
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| Property / summary: One of the main technological trends of recent years in the mobile technology market is the geolocation of users from multiple points of view (terminal, application, etc.) One of the segments that begins to emerge is the estimation of location based on the information provided by the available measurements in radio network signalling, mainly based on signal triangulation methods depending on the distance of the base stations. In this sense, Astellia Spain has a solution capable of estimating the location of the user but with some restrictions, mainly motivated by the high volume of data handled._x000D_ According to this, the overall objective of the project is to evolve the current Geolocation solution of Astellia Spain, according to which it is possible to locate a maximum of 2 points for each of the connections (start and end location of the call) and to provide for each of these points a limited number of maps with daily periodicity, towards a massive location of users, with multipoint location and close to the actual time so that it is possible to use the large number of data-related data. Specifically, the requirements focus on moving from two points per connection to being able to locate the user every 10 seconds. In addition, information should be saved at that level of granularity and with multiple data segmentation and periodicity options, to make more dynamic maps with much faster availability to the user. (English) / qualifier | |||||||||||||||
point in time: 12 October 2021
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Revision as of 19:11, 12 October 2021
Project Q3179952 in Spain
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | No label defined |
Project Q3179952 in Spain |
Statements
257,832.0 Euro
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515,664.0 Euro
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50.0 percent
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1 January 2016
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30 June 2017
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INGENIA TELECOM, S.L.
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39°30'14.11"N, 0°26'31.56"W
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46190
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Una de las principales tendencias tecnológicas de los últimos años en el mercado de las tecnologías móviles es la geolocalización de usuarios desde múltiples puntos de vista (terminal, aplicación, etc.) Uno de los segmentos que empieza a despuntar es la estimación de ubicación en base a la información proporcionada por las medidas disponibles en la señalización de la red radio, principalmente basada en métodos de triangulación de señal en función de la distancia de las estaciones bases de telefonía. En este sentido, Astellia Spain dispone de una solución capaz de estimar la localización del usuario aunque con algunas restricciones, principalmente motivadas por el alto volumen de datos manejado._x000D_ Según esto, el objetivo general del proyecto es el de evolucionar la solución de Geolocalización actual de Astellia Spain, según la cual es posible ubicar un máximo de 2 puntos por cada una de las conexiones (ubicación de inicio y fin de la llamada) y de proporcionar para cada uno de estos puntos un número limitado de mapas con periodicidad diaria, hacia un esquema de localización masiva de usuarios, con ubicación multipunto y cercano al tiempo real de modo que sea posible proveer de un mayor número de mapas que permitan cubrir las necesidades del mercado relacionadas con datos geo-localizados masivos de los usuarios de la red móvil._x000D_ Este objetivo supone, rediseñar la arquitectura del sistema y utilizar tecnologías de Big-data capaces de almacenar y procesar elevadísimos volúmenes de información. Concretamente, los requisitos se centran en pasar de ubicar dos puntos por conexión a ser capaz de ubicar al usuario cada 10 segundos. Además, la información debe ser guardada a ese nivel de granularidad y con múltiples opciones de segmentación de datos y periodicidad, para hacer mapas más dinámicos con una disponibilidad mucho más rápida para el usuario. (Spanish)
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One of the main technological trends of recent years in the mobile technology market is the geolocation of users from multiple points of view (terminal, application, etc.) One of the segments that begins to emerge is the estimation of location based on the information provided by the available measurements in radio network signalling, mainly based on signal triangulation methods depending on the distance of the base stations. In this sense, Astellia Spain has a solution capable of estimating the location of the user but with some restrictions, mainly motivated by the high volume of data handled._x000D_ According to this, the overall objective of the project is to evolve the current Geolocation solution of Astellia Spain, according to which it is possible to locate a maximum of 2 points for each of the connections (start and end location of the call) and to provide for each of these points a limited number of maps with daily periodicity, towards a massive location of users, with multipoint location and close to the actual time so that it is possible to use the large number of data-related data. Specifically, the requirements focus on moving from two points per connection to being able to locate the user every 10 seconds. In addition, information should be saved at that level of granularity and with multiple data segmentation and periodicity options, to make more dynamic maps with much faster availability to the user. (English)
12 October 2021
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Paterna
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Identifiers
IDI-20151170
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