FIELD: tobacco products.
SUBSTANCE: invention relates to the assessing the quality of tobacco products and relates to a method for using spectroscopic data to determine the organoleptic characteristics of mainstream cigarette smoke. The method includes enhancing spectroscopic data of mainstream cigarette smoke from multiple cigarettes, extracting spectral features of the surface layer, and obtaining organoleptic characteristics of the surface layer. In addition, the method includes extracting deep layer spatial features from spectroscopic data, deriving deep layer sensory characteristics from the spectroscopic data from which the deep layer spatial features are extracted, and deep layer spatial features. Based on the organoleptic characteristics of the superficial and deep layers, generalized results regarding organoleptic characteristics are obtained.
EFFECT: improving the efficiency, reliability and reliability of the organoleptic evaluation of cigarette smoke.
8 cl, 1 dwg
| Title | Year | Author | Number |
|---|---|---|---|
| SMOKING MATERIAL WRAPPER CONTAINING VANILLA AND SMOKING PRODUCT CONTAINING SUCH WRAPPER | 2021 |
|
RU2813016C1 |
| SYSTEMS AND METHODS OF ASSESSING THE VIABILITY OF EMBRYOS | 2018 |
|
RU2800079C2 |
| ADAPTIVE AUDIO ENHANCEMENT FOR MULTICHANNEL SPEECH RECOGNITION | 2016 |
|
RU2698153C1 |
| METHOD FOR DIAGNOSING SIGNS OF BRONCHOPULMONARY DISEASES ASSOCIATED WITH COVID-19 VIRUS DISEASE | 2021 |
|
RU2758550C1 |
| METHOD FOR REMOTE EVALUATION OF SPATIAL DISTRIBUTION OF THERMOPHYSICAL PARAMETERS OF MATERIALS | 2022 |
|
RU2801295C1 |
| GAN-CNN FOR PREDICTION OF MHC-PEPTIDE BINDING | 2019 |
|
RU2777926C2 |
| MILK ANALYSER FOR MILK CLASSIFICATION | 2019 |
|
RU2794708C2 |
| METHODS FOR TRAINING DEEP CONVOLUTIONAL NEURAL NETWORKS BASED ON DEEP LEARNING | 2018 |
|
RU2767337C2 |
| SEGMENTATION AND PREDICTION OF TIME PATTERNS OF LOW LEVEL TRAILS | 2020 |
|
RU2783420C1 |
| FILTER ROD OF HEATED CIGARETTE, HAVING NATURAL FUNCTION OF AIR PASSAGE, AND HEATED CIGARETTE CONTAINING IT | 2021 |
|
RU2809815C1 |
