CN110084262B - 用于光谱量化的减少的误报识别 - Google Patents
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- CN110084262B CN110084262B CN201910063878.2A CN201910063878A CN110084262B CN 110084262 B CN110084262 B CN 110084262B CN 201910063878 A CN201910063878 A CN 201910063878A CN 110084262 B CN110084262 B CN 110084262B
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- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
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- 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
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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
- G01N21/27—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
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- 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
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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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- 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
- 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
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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 OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2218/00—Aspects of pattern recognition specially adapted for signal processing
- G06F2218/12—Classification; Matching
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Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202210770629.9A CN115293233A (zh) | 2018-01-26 | 2019-01-23 | 用于光谱量化的减少的误报识别 |
Applications Claiming Priority (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201862622641P | 2018-01-26 | 2018-01-26 | |
| US62/622,641 | 2018-01-26 | ||
| US16/034,901 US11009452B2 (en) | 2018-01-26 | 2018-07-13 | Reduced false positive identification for spectroscopic quantification |
| US16/034,901 | 2018-07-13 |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202210770629.9A Division CN115293233A (zh) | 2018-01-26 | 2019-01-23 | 用于光谱量化的减少的误报识别 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110084262A CN110084262A (zh) | 2019-08-02 |
| CN110084262B true CN110084262B (zh) | 2022-07-05 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN201910063878.2A Active CN110084262B (zh) | 2018-01-26 | 2019-01-23 | 用于光谱量化的减少的误报识别 |
| CN202210770629.9A Pending CN115293233A (zh) | 2018-01-26 | 2019-01-23 | 用于光谱量化的减少的误报识别 |
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| Application Number | Title | Priority Date | Filing Date |
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| CN202210770629.9A Pending CN115293233A (zh) | 2018-01-26 | 2019-01-23 | 用于光谱量化的减少的误报识别 |
Country Status (8)
| Country | Link |
|---|---|
| US (3) | US11009452B2 (enExample) |
| EP (1) | EP3517931B1 (enExample) |
| JP (2) | JP7242311B2 (enExample) |
| KR (2) | KR102461384B1 (enExample) |
| CN (2) | CN110084262B (enExample) |
| CA (1) | CA3029739A1 (enExample) |
| MX (2) | MX392219B (enExample) |
| TW (2) | TWI784887B (enExample) |
Families Citing this family (9)
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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 |
| 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 |
| WO2022180776A1 (ja) * | 2021-02-26 | 2022-09-01 | 株式会社日立製作所 | 材料識別支援装置、方法およびプログラム |
| 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 |
| CN116559091A (zh) * | 2022-01-31 | 2023-08-08 | Viavi科技有限公司 | 用于动态过程监测和终点检测的滚动主成分分析 |
Citations (3)
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| CN107561024A (zh) * | 2017-07-17 | 2018-01-09 | 核工业北京地质研究院 | 一种适用于盐湖富铀水体的高光谱遥感识别方法 |
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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/EP3517931B1/en active Active
- 2019-01-11 MX MX2019000496A patent/MX392219B/es unknown
- 2019-01-11 TW TW111107148A patent/TWI784887B/zh active
- 2019-01-11 MX MX2022005667A patent/MX2022005667A/es unknown
- 2019-01-11 TW TW108101270A patent/TWI759577B/zh active
- 2019-01-11 CA CA3029739A patent/CA3029739A1/en active Pending
- 2019-01-21 JP JP2019008034A patent/JP7242311B2/ja active Active
- 2019-01-23 CN CN201910063878.2A patent/CN110084262B/zh active Active
- 2019-01-23 CN CN202210770629.9A patent/CN115293233A/zh active Pending
- 2019-01-25 KR KR1020190009907A patent/KR102461384B1/ko active Active
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2021
- 2021-03-30 US US17/301,234 patent/US11775616B2/en active Active
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2022
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- 2022-12-01 JP JP2022192933A patent/JP2023041065A/ja active Pending
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2023
- 2023-08-01 US US18/363,060 patent/US12481726B2/en active Active
Patent Citations (3)
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| CN101504363A (zh) * | 2009-03-18 | 2009-08-12 | 哈尔滨商业大学 | 一种基于近红外光谱分析的食用油脂酸价检测方法 |
| CN106483083A (zh) * | 2015-08-26 | 2017-03-08 | 唯亚威通讯技术有限公司 | 使用光谱学的识别 |
| CN107561024A (zh) * | 2017-07-17 | 2018-01-09 | 核工业北京地质研究院 | 一种适用于盐湖富铀水体的高光谱遥感识别方法 |
Non-Patent Citations (5)
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| Combination of One-Class Support Vector Machines for Classification with Reject Option;Blaise Hanczar等;《Springer-Verlag Berlin Heidelberg 2014》;20141231;第547-562页 * |
| Estimate of standard deviation for a log-transformed variable using arithmetic means and standard deviations;hui Quan等;《Wiley》;20030819;参见全文 * |
| LAN SUN等.Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine.《Applied Spectroscopy》.2016,(第5期), * |
| Outlier Analysis;Charu C. Aggarwal;《Springer》;20170101;参见全文 * |
| Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine;LAN SUN等;《Applied Spectroscopy》;20160330(第5期);第816-825页 * |
Also Published As
| Publication number | Publication date |
|---|---|
| US20190234866A1 (en) | 2019-08-01 |
| TWI759577B (zh) | 2022-04-01 |
| US20210215597A1 (en) | 2021-07-15 |
| CN115293233A (zh) | 2022-11-04 |
| CN110084262A (zh) | 2019-08-02 |
| MX2019000496A (es) | 2019-07-29 |
| EP3517931B1 (en) | 2025-10-22 |
| JP2023041065A (ja) | 2023-03-23 |
| KR20220149498A (ko) | 2022-11-08 |
| TWI784887B (zh) | 2022-11-21 |
| JP2019148583A (ja) | 2019-09-05 |
| US20230385383A1 (en) | 2023-11-30 |
| US11009452B2 (en) | 2021-05-18 |
| TW202223750A (zh) | 2022-06-16 |
| KR102461384B1 (ko) | 2022-11-01 |
| TW201935316A (zh) | 2019-09-01 |
| KR20190091219A (ko) | 2019-08-05 |
| US11775616B2 (en) | 2023-10-03 |
| EP3517931A1 (en) | 2019-07-31 |
| MX2022005667A (es) | 2022-06-16 |
| US12481726B2 (en) | 2025-11-25 |
| JP7242311B2 (ja) | 2023-03-20 |
| CA3029739A1 (en) | 2019-07-26 |
| MX392219B (es) | 2025-03-19 |
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