MX2015008412A - Deteccion de un suceso a partir de secuencias de datos de series cronologicas. - Google Patents
Deteccion de un suceso a partir de secuencias de datos de series cronologicas.Info
- Publication number
- MX2015008412A MX2015008412A MX2015008412A MX2015008412A MX2015008412A MX 2015008412 A MX2015008412 A MX 2015008412A MX 2015008412 A MX2015008412 A MX 2015008412A MX 2015008412 A MX2015008412 A MX 2015008412A MX 2015008412 A MX2015008412 A MX 2015008412A
- Authority
- MX
- Mexico
- Prior art keywords
- sample points
- series data
- time
- pairs
- data sequences
- Prior art date
Links
Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Computational Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Pure & Applied Mathematics (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Algebra (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Operations Research (AREA)
- Computing Systems (AREA)
- Length Measuring Devices With Unspecified Measuring Means (AREA)
- Testing Or Calibration Of Command Recording Devices (AREA)
- Regulating Braking Force (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Image Analysis (AREA)
Abstract
El presente asunto en cuestión divulga un sistema y un procedimiento para detectar un suceso a partir de secuencias de datos de series cronológicas. El sistema recibe secuencias de datos de series cronológicas, generadas por sensores, en donde las secuencias de datos de series cronológicas comprenden puntos de muestra. El sistema aparea los puntos de muestra entre sí para determinar pares de los puntos de muestra. El sistema calcula distancias euclidianas y ángulos entre los puntos de muestra, para determinar la matriz de distancias y la matriz de ángulos correspondientes a los puntos de muestra. Además, el sistema determina la distribución global de la pluralidad de pares de puntos de muestra, en donde la distribución global de la pluralidad de pares de puntos de muestra representa un histograma de forma bidimensional para la secuencia de datos de series cronológicas. Además, el sistema concatena el histograma de forma bidimensional para cada secuencia de datos de series cronológicas, para generar un histograma de forma concatenada. Finalmente, el sistema asocia el histograma de forma concatenada a histogramas de forma pre-almacenados para determinar el suceso.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IN2074MU2014 | 2014-06-26 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| MX2015008412A true MX2015008412A (es) | 2016-02-26 |
| MX355984B MX355984B (es) | 2018-05-07 |
Family
ID=53502489
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| MX2015008412A MX355984B (es) | 2014-06-26 | 2015-06-26 | Detección de un suceso a partir de secuencias de datos de series cronológicas. |
Country Status (7)
| Country | Link |
|---|---|
| US (1) | US10108582B2 (es) |
| EP (1) | EP2960806A1 (es) |
| JP (1) | JP6211561B2 (es) |
| AU (1) | AU2015203557B2 (es) |
| BR (1) | BR102015015616B1 (es) |
| CA (1) | CA2895624C (es) |
| MX (1) | MX355984B (es) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108228832B (zh) * | 2018-01-04 | 2022-04-22 | 南京大学 | 一种基于距离矩阵的时间序列数据补全方法 |
| CN110059735A (zh) * | 2019-04-04 | 2019-07-26 | 东北大学 | 一种基于霍夫变换的可视化时序模式匹配方法 |
| CN111814767B (zh) * | 2020-09-02 | 2021-02-05 | 科大讯飞(苏州)科技有限公司 | 跌倒检测方法、装置、电子设备和存储介质 |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH05248884A (ja) * | 1991-10-31 | 1993-09-28 | Omron Corp | 計測信号のキャンセル方法 |
| JPH07128098A (ja) * | 1993-11-02 | 1995-05-19 | Nittetsu Hokkaido Seigyo Syst Kk | 計装設備遠隔診断システム |
| JP2005018304A (ja) | 2003-06-25 | 2005-01-20 | Nippon Telegr & Teleph Corp <Ntt> | 時系列データ予測方法、装置、時系列データ予測プログラム及びその記録媒体 |
| JP2007198803A (ja) | 2006-01-24 | 2007-08-09 | Omron Corp | 外観検査システム |
| US7706965B2 (en) | 2006-08-18 | 2010-04-27 | Inrix, Inc. | Rectifying erroneous road traffic sensor data |
| JP5186322B2 (ja) | 2008-09-26 | 2013-04-17 | インターナショナル・ビジネス・マシーンズ・コーポレーション | 時系列データ解析システム、方法及びプログラム |
| US9443152B2 (en) * | 2011-05-03 | 2016-09-13 | Ionroad Technologies Ltd. | Automatic image content analysis method and system |
| US20130041625A1 (en) * | 2011-08-11 | 2013-02-14 | International Business Machines Corporation | Advanced Statistical Detection of Emerging Trends |
| JP2013140135A (ja) | 2011-12-09 | 2013-07-18 | Tokyo Electron Ltd | 周期的駆動系の異常検知装置、周期的駆動系を有する処理装置、周期的駆動系の異常検知方法、およびコンピュータプログラム |
-
2015
- 2015-06-25 US US14/749,881 patent/US10108582B2/en active Active
- 2015-06-25 CA CA2895624A patent/CA2895624C/en active Active
- 2015-06-25 JP JP2015128117A patent/JP6211561B2/ja active Active
- 2015-06-26 MX MX2015008412A patent/MX355984B/es active IP Right Grant
- 2015-06-26 AU AU2015203557A patent/AU2015203557B2/en active Active
- 2015-06-26 BR BR102015015616-2A patent/BR102015015616B1/pt active IP Right Grant
- 2015-06-26 EP EP15174139.4A patent/EP2960806A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| JP2016011954A (ja) | 2016-01-21 |
| CA2895624C (en) | 2024-03-26 |
| BR102015015616B1 (pt) | 2022-11-22 |
| EP2960806A1 (en) | 2015-12-30 |
| CA2895624A1 (en) | 2015-12-26 |
| BR102015015616A2 (pt) | 2017-12-05 |
| AU2015203557A1 (en) | 2016-01-21 |
| US10108582B2 (en) | 2018-10-23 |
| US20150378963A1 (en) | 2015-12-31 |
| MX355984B (es) | 2018-05-07 |
| JP6211561B2 (ja) | 2017-10-11 |
| AU2015203557B2 (en) | 2021-02-18 |
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Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| FG | Grant or registration |