MX2019000496A - Identificación de falsos positivos reducidos para cuantificación espectroscópica. - Google Patents

Identificación de falsos positivos reducidos para cuantificación espectroscópica.

Info

Publication number
MX2019000496A
MX2019000496A MX2019000496A MX2019000496A MX2019000496A MX 2019000496 A MX2019000496 A MX 2019000496A MX 2019000496 A MX2019000496 A MX 2019000496A MX 2019000496 A MX2019000496 A MX 2019000496A MX 2019000496 A MX2019000496 A MX 2019000496A
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MX
Mexico
Prior art keywords
decision boundary
quantification model
false positive
quantification
positive identification
Prior art date
Application number
MX2019000496A
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English (en)
Inventor
Hsiung Changmeng
Original Assignee
Viavi Solutions 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 Viavi Solutions Inc filed Critical Viavi Solutions Inc
Publication of MX2019000496A publication Critical patent/MX2019000496A/es

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    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C60/00Computational 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/241Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411Classification 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/255Details, e.g. use of specially adapted sources, lighting or optical systems
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/27Colour; 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
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/24Classification techniques
    • G06F18/243Classification techniques relating to the number of classes
    • G06F18/2433Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/20Identification of molecular entities, parts thereof or of chemical compositions
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/70Machine learning, data mining or chemometrics
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1748Comparative step being essential in the method
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
    • G01N21/17Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light
    • G01N21/359Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infrared light using near infrared light
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N2201/00Features of devices classified in G01N21/00
    • G01N2201/12Circuits of general importance; Signal processing
    • G01N2201/129Using chemometrical methods
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F2218/00Aspects of pattern recognition specially adapted for signal processing
    • G06F2218/12Classification; Matching

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  • 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 & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Chemical & Material Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Artificial Intelligence (AREA)
  • Evolutionary Computation (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (AREA)
  • Immunology (AREA)
  • Biochemistry (AREA)
  • Computing Systems (AREA)
  • Evolutionary Biology (AREA)
  • General Engineering & Computer Science (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Mathematical Physics (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Software 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.
MX2019000496A 2018-01-26 2019-01-11 Identificación de falsos positivos reducidos para cuantificación espectroscópica. MX2019000496A (es)

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
MX2019000496A true MX2019000496A (es) 2019-07-29

Family

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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.

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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) TWI759577B (es)

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Also Published As

Publication number Publication date
KR20220149498A (ko) 2022-11-08
US20210215597A1 (en) 2021-07-15
US20190234866A1 (en) 2019-08-01
EP3517931A1 (en) 2019-07-31
TW201935316A (zh) 2019-09-01
CN110084262B (zh) 2022-07-05
JP2019148583A (ja) 2019-09-05
US11775616B2 (en) 2023-10-03
US11009452B2 (en) 2021-05-18
TWI784887B (zh) 2022-11-21
TW202223750A (zh) 2022-06-16
CN115293233A (zh) 2022-11-04
US20230385383A1 (en) 2023-11-30
MX2022005667A (es) 2022-06-16
CA3029739A1 (en) 2019-07-26
JP2023041065A (ja) 2023-03-23
KR20190091219A (ko) 2019-08-05
TWI759577B (zh) 2022-04-01
CN110084262A (zh) 2019-08-02
KR102461384B1 (ko) 2022-11-01
JP7242311B2 (ja) 2023-03-20

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