MX2022005667A - Identificacion de falsos positivos reducidos para cuantificacion espectroscopica. - Google Patents
Identificacion de falsos positivos reducidos para cuantificacion espectroscopica.Info
- Publication number
- MX2022005667A MX2022005667A MX2022005667A MX2022005667A MX2022005667A MX 2022005667 A MX2022005667 A MX 2022005667A MX 2022005667 A MX2022005667 A MX 2022005667A MX 2022005667 A MX2022005667 A MX 2022005667A MX 2022005667 A MX2022005667 A MX 2022005667A
- Authority
- MX
- Mexico
- Prior art keywords
- decision boundary
- quantification model
- false positive
- quantification
- positive identification
- Prior art date
Links
- 238000000363 spectroscopic quantification Methods 0.000 title 1
- 238000011002 quantification Methods 0.000 abstract 5
- 238000005259 measurement Methods 0.000 abstract 3
Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C60/00—Computational materials science, i.e. ICT specially adapted for investigating the physical or chemical properties of materials or phenomena associated with their design, synthesis, processing, characterisation or utilisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
- G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
- G01N21/359—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/255—Details, e.g. use of specially adapted sources, lighting or optical systems
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/27—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands using photo-electric detection ; circuits for computing concentration
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
- G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/20—Identification of molecular entities, parts thereof or of chemical compositions
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/70—Machine learning, data mining or chemometrics
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
- G01N2021/1748—Comparative step being essential in the method
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N2201/00—Features of devices classified in G01N21/00
- G01N2201/12—Circuits of general importance; Signal processing
- G01N2201/129—Using chemometrical methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Physics & Mathematics (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Chemical & Material Sciences (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- Immunology (AREA)
- Pathology (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Evolutionary Biology (AREA)
- Crystallography & Structural Chemistry (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Medical Informatics (AREA)
- Databases & Information Systems (AREA)
- Investigating Or Analysing Materials By Optical Means (AREA)
- Length Measuring Devices By Optical Means (AREA)
- Spectrometry And Color Measurement (AREA)
- Image Analysis (AREA)
- Debugging And Monitoring (AREA)
Abstract
Un dispositivo puede recibir información que identifica resultados de una medición espectroscópica llevada a cabo en una muestra desconocida. El dispositivo puede determinar un límite de decisión para un modelo de cuantificación con base en un parámetro configurable, de tal forma que una primera pluralidad de muestras de conjunto de entrenamiento del modelo de cuantificación está dentro del límite de decisión y una segunda pluralidad de muestras de conjunto de entrenamiento del modelo de cuantificación no está dentro del límite de decisión. El dispositivo puede determinar una métrica de distancia para la medición espectroscópica llevada a cabo en la nuestra desconocida con respecto al límite de decisión. El dispositivo puede determinar una pluralidad de métricas de distancia para la segunda pluralidad de muestras de conjunto de entrenamiento del modelo de cuantificación con respecto al límite de decisión. El dispositivo puede proporcionar información que indica si la medición espectroscópica llevada a cabo en la muestra desconocida corresponde al modelo de cuantificación.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US201862622641P | 2018-01-26 | 2018-01-26 | |
US16/034,901 US11009452B2 (en) | 2018-01-26 | 2018-07-13 | Reduced false positive identification for spectroscopic quantification |
Publications (1)
Publication Number | Publication Date |
---|---|
MX2022005667A true MX2022005667A (es) | 2022-06-16 |
Family
ID=65003247
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2022005667A MX2022005667A (es) | 2018-01-26 | 2019-01-11 | Identificacion de falsos positivos reducidos para cuantificacion espectroscopica. |
MX2019000496A MX2019000496A (es) | 2018-01-26 | 2019-01-11 | Identificación de falsos positivos reducidos para cuantificación espectroscópica. |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
MX2019000496A MX2019000496A (es) | 2018-01-26 | 2019-01-11 | Identificación de falsos positivos reducidos para cuantificación espectroscópica. |
Country Status (8)
Country | Link |
---|---|
US (3) | US11009452B2 (es) |
EP (1) | EP3517931A1 (es) |
JP (2) | JP7242311B2 (es) |
KR (2) | KR102461384B1 (es) |
CN (2) | CN115293233A (es) |
CA (1) | CA3029739A1 (es) |
MX (2) | MX2022005667A (es) |
TW (2) | TWI784887B (es) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
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US11009452B2 (en) | 2018-01-26 | 2021-05-18 | Viavi Solutions Inc. | Reduced false positive identification for spectroscopic quantification |
US11656174B2 (en) | 2018-01-26 | 2023-05-23 | Viavi Solutions Inc. | Outlier detection for spectroscopic classification |
US10810408B2 (en) | 2018-01-26 | 2020-10-20 | Viavi Solutions Inc. | Reduced false positive identification for spectroscopic classification |
JP7226230B2 (ja) * | 2019-09-27 | 2023-02-21 | 豊田合成株式会社 | 熱抵抗予測方法及び特性検査機 |
JP7353940B2 (ja) * | 2019-11-26 | 2023-10-02 | 株式会社日立製作所 | 転移可能性判定装置、転移可能性判定方法、及び転移可能性判定プログラム |
US20240079097A1 (en) | 2021-02-26 | 2024-03-07 | Hilachi, Ltd. | Material identification assistance device, method, and program |
US20230038984A1 (en) * | 2021-07-30 | 2023-02-09 | Viavi Solutions Inc. | Utilizing prediction thresholds to facilitate spectroscopic classification |
WO2023126996A1 (ja) * | 2021-12-27 | 2023-07-06 | 日本たばこ産業株式会社 | 植物が含有する所定の成分の量を予測する方法、システム及びプログラム |
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US11656174B2 (en) | 2018-01-26 | 2023-05-23 | Viavi Solutions Inc. | Outlier detection for spectroscopic classification |
US11009452B2 (en) | 2018-01-26 | 2021-05-18 | Viavi Solutions Inc. | Reduced false positive identification for spectroscopic quantification |
US10810408B2 (en) | 2018-01-26 | 2020-10-20 | Viavi Solutions Inc. | Reduced false positive identification for spectroscopic classification |
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2018
- 2018-07-13 US US16/034,901 patent/US11009452B2/en active Active
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2019
- 2019-01-04 EP EP19150386.1A patent/EP3517931A1/en active Pending
- 2019-01-11 MX MX2022005667A patent/MX2022005667A/es unknown
- 2019-01-11 TW TW111107148A patent/TWI784887B/zh active
- 2019-01-11 MX MX2019000496A patent/MX2019000496A/es unknown
- 2019-01-11 CA CA3029739A patent/CA3029739A1/en active Pending
- 2019-01-11 TW TW108101270A patent/TWI759577B/zh active
- 2019-01-21 JP JP2019008034A patent/JP7242311B2/ja active Active
- 2019-01-23 CN CN202210770629.9A patent/CN115293233A/zh active Pending
- 2019-01-23 CN CN201910063878.2A patent/CN110084262B/zh active Active
- 2019-01-25 KR KR1020190009907A patent/KR102461384B1/ko active IP Right Grant
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2021
- 2021-03-30 US US17/301,234 patent/US11775616B2/en active Active
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2022
- 2022-10-26 KR KR1020220139482A patent/KR20220149498A/ko active Application Filing
- 2022-12-01 JP JP2022192933A patent/JP2023041065A/ja active Pending
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2023
- 2023-08-01 US US18/363,060 patent/US20230385383A1/en active Pending
Also Published As
Publication number | Publication date |
---|---|
TWI759577B (zh) | 2022-04-01 |
US20190234866A1 (en) | 2019-08-01 |
US11009452B2 (en) | 2021-05-18 |
KR102461384B1 (ko) | 2022-11-01 |
TWI784887B (zh) | 2022-11-21 |
MX2019000496A (es) | 2019-07-29 |
CN110084262B (zh) | 2022-07-05 |
EP3517931A1 (en) | 2019-07-31 |
CN115293233A (zh) | 2022-11-04 |
KR20220149498A (ko) | 2022-11-08 |
TW201935316A (zh) | 2019-09-01 |
TW202223750A (zh) | 2022-06-16 |
CN110084262A (zh) | 2019-08-02 |
JP2019148583A (ja) | 2019-09-05 |
US11775616B2 (en) | 2023-10-03 |
CA3029739A1 (en) | 2019-07-26 |
US20210215597A1 (en) | 2021-07-15 |
US20230385383A1 (en) | 2023-11-30 |
JP2023041065A (ja) | 2023-03-23 |
JP7242311B2 (ja) | 2023-03-20 |
KR20190091219A (ko) | 2019-08-05 |
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