MX2022005667A - Identificacion de falsos positivos reducidos para cuantificacion espectroscopica. - Google Patents

Identificacion de falsos positivos reducidos para cuantificacion espectroscopica.

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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
Application number
MX2022005667A
Other languages
English (en)
Spanish (es)
Inventor
Changmeng Hsiung
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 MX2022005667A publication Critical patent/MX2022005667A/es

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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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • 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 OR CALCULATING; 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
    • 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
    • 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
    • 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
    • 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
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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)
  • Biochemistry (AREA)
  • Immunology (AREA)
  • Analytical Chemistry (AREA)
  • Pathology (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)
  • Spectrometry And Color Measurement (AREA)
  • Length Measuring Devices By Optical Means (AREA)
  • Image Analysis (AREA)
  • Debugging And Monitoring (AREA)
MX2022005667A 2018-01-26 2019-01-11 Identificacion de falsos positivos reducidos para cuantificacion espectroscopica. MX2022005667A (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
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 MX392219B (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 MX392219B (es) 2018-01-26 2019-01-11 Identificación de falsos positivos reducidos para cuantificación espectroscópica.

Country Status (8)

Country Link
US (3) US11009452B2 (cg-RX-API-DMAC10.html)
EP (1) EP3517931B1 (cg-RX-API-DMAC10.html)
JP (2) JP7242311B2 (cg-RX-API-DMAC10.html)
KR (1) KR102461384B1 (cg-RX-API-DMAC10.html)
CN (2) CN110084262B (cg-RX-API-DMAC10.html)
CA (1) CA3029739C (cg-RX-API-DMAC10.html)
MX (2) MX2022005667A (cg-RX-API-DMAC10.html)
TW (2) TWI784887B (cg-RX-API-DMAC10.html)

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US10810408B2 (en) 2018-01-26 2020-10-20 Viavi Solutions Inc. Reduced false positive identification for spectroscopic classification
US11656174B2 (en) 2018-01-26 2023-05-23 Viavi Solutions Inc. Outlier detection for spectroscopic classification
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Also Published As

Publication number Publication date
TW201935316A (zh) 2019-09-01
TW202223750A (zh) 2022-06-16
CN115293233A (zh) 2022-11-04
CN110084262A (zh) 2019-08-02
MX2019000496A (es) 2019-07-29
JP7242311B2 (ja) 2023-03-20
US11775616B2 (en) 2023-10-03
US20230385383A1 (en) 2023-11-30
EP3517931A1 (en) 2019-07-31
TWI784887B (zh) 2022-11-21
CA3029739C (en) 2026-07-28
US11009452B2 (en) 2021-05-18
EP3517931B1 (en) 2025-10-22
CN110084262B (zh) 2022-07-05
JP2019148583A (ja) 2019-09-05
TWI759577B (zh) 2022-04-01
KR20190091219A (ko) 2019-08-05
US20190234866A1 (en) 2019-08-01
JP7817147B2 (ja) 2026-02-18
JP2023041065A (ja) 2023-03-23
CA3029739A1 (en) 2019-07-26
KR102461384B1 (ko) 2022-11-01
MX392219B (es) 2025-03-19
US20210215597A1 (en) 2021-07-15
KR20220149498A (ko) 2022-11-08
US12481726B2 (en) 2025-11-25

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