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MX2016016740A - Ubicacion de dispositivo con base en un modelo de aprendizaje. - Google Patents

Ubicacion de dispositivo con base en un modelo de aprendizaje.

Info

Publication number
MX2016016740A
MX2016016740A MX2016016740A MX2016016740A MX2016016740A MX 2016016740 A MX2016016740 A MX 2016016740A MX 2016016740 A MX2016016740 A MX 2016016740A MX 2016016740 A MX2016016740 A MX 2016016740A MX 2016016740 A MX2016016740 A MX 2016016740A
Authority
MX
Mexico
Prior art keywords
values
learning model
sequence
period
time
Prior art date
Application number
MX2016016740A
Other languages
English (en)
Other versions
MX359535B (es
Inventor
Ranjit Kamlani Ari
Original Assignee
Opentv Inc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Opentv Inc filed Critical Opentv Inc
Publication of MX2016016740A publication Critical patent/MX2016016740A/es
Publication of MX359535B publication Critical patent/MX359535B/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/023—Services making use of location information using mutual or relative location information between multiple location based services [LBS] targets or of distance thresholds
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W64/00—Locating users or terminals or network equipment for network management purposes, e.g. mobility management

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Computing Systems (AREA)
  • General Physics & Mathematics (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • Mathematical Physics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Biophysics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Position Fixing By Use Of Radio Waves (AREA)
  • Telephonic Communication Services (AREA)
  • Selective Calling Equipment (AREA)

Abstract

Se presentan métodos y sistemas de ubicación de un dispositivo. En un método ejemplar, una señal de comunicación desde un dispositivo se recibe por un punto de referencia inalámbrico durante un periodo de tiempo. Una secuencia de valores se genera a partir de la señal de comunicación, tal como se recibe mediante el punto de referencia inalámbrico, durante el periodo de tiempo. La secuencia de valores se suministra a un modelo de aprendizaje configurado para generar una salida con base en valores pasados de la secuencia de valores y al menos un valor futuro previsto de la secuencia de valores. La ubicación actual del dispositivo se estima durante el período de tiempo con base en la salida del modelo de aprendizaje.
MX2016016740A 2014-06-20 2015-06-15 Ubicacion de dispositivo con base en un modelo de aprendizaje. MX359535B (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/311,077 US9681270B2 (en) 2014-06-20 2014-06-20 Device localization based on a learning model
PCT/US2015/035882 WO2015195579A1 (en) 2014-06-20 2015-06-15 Device localization based on a learning model

Publications (2)

Publication Number Publication Date
MX2016016740A true MX2016016740A (es) 2017-03-23
MX359535B MX359535B (es) 2018-10-01

Family

ID=54869972

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016016740A MX359535B (es) 2014-06-20 2015-06-15 Ubicacion de dispositivo con base en un modelo de aprendizaje.

Country Status (10)

Country Link
US (2) US9681270B2 (es)
EP (1) EP3180949A4 (es)
JP (1) JP2017524914A (es)
KR (1) KR20170018902A (es)
CN (2) CN106471851B (es)
AU (1) AU2015277418B2 (es)
CA (1) CA2952453A1 (es)
MX (1) MX359535B (es)
SG (1) SG11201609956WA (es)
WO (1) WO2015195579A1 (es)

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US11058948B1 (en) * 2017-08-18 2021-07-13 Amazon Technologies, Inc. Predictive modeling for multiplayer gaming
KR102116824B1 (ko) * 2017-11-10 2020-06-01 (주)셀리지온 딥러닝 기반 측위 시스템 및 이의 구축 방법
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Also Published As

Publication number Publication date
CN106471851A (zh) 2017-03-01
US9681270B2 (en) 2017-06-13
BR112016028415A2 (pt) 2017-08-22
US20170280299A1 (en) 2017-09-28
MX359535B (es) 2018-10-01
EP3180949A4 (en) 2018-03-07
CN113038386B (zh) 2024-06-25
JP2017524914A (ja) 2017-08-31
WO2015195579A1 (en) 2015-12-23
CA2952453A1 (en) 2015-12-23
AU2015277418A1 (en) 2017-02-02
AU2015277418B2 (en) 2019-07-11
EP3180949A1 (en) 2017-06-21
SG11201609956WA (en) 2017-01-27
CN113038386A (zh) 2021-06-25
CN106471851B (zh) 2021-03-26
US20150371139A1 (en) 2015-12-24
KR20170018902A (ko) 2017-02-20

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