Hong Men
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View article: A novel perception assessment approach for citric acid: taste EEG analysis based on deep learning
A novel perception assessment approach for citric acid: taste EEG analysis based on deep learning Open
View article: A causal neurophysiological investigation of saltiness enhancement induced by characteristic volatile compounds from Jinhua dry-cured ham using electroencephalography
A causal neurophysiological investigation of saltiness enhancement induced by characteristic volatile compounds from Jinhua dry-cured ham using electroencephalography Open
View article: Decoding Food Odor-Evoked EEG Signals: Odor Recognition and Brain Region Analysis Using MFANet
Decoding Food Odor-Evoked EEG Signals: Odor Recognition and Brain Region Analysis Using MFANet Open
View article: Hyperspectral Information Detection and Global-view Net for Enhanced Classification of Mold Stages in Cigarette Tobacco
Hyperspectral Information Detection and Global-view Net for Enhanced Classification of Mold Stages in Cigarette Tobacco Open
View article: A Lightweight Hybrid Network for Agricultural Origin Identification Combined with Electronic Nose and Hyperspectral Systems
A Lightweight Hybrid Network for Agricultural Origin Identification Combined with Electronic Nose and Hyperspectral Systems Open
View article: Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection
Optimizing food taste sensory evaluation through neural network-based taste electroencephalogram channel selection Open
The taste electroencephalogram (EEG) evoked by the taste stimulation can reflect different brain patterns and be used in applications such as sensory evaluation of food. However, considering the computational cost and efficiency, EEG data …
View article: Optimizing Food Taste Sensory Evaluation Through Neural Network-Based Taste Electroencephalogram Channel Selection
Optimizing Food Taste Sensory Evaluation Through Neural Network-Based Taste Electroencephalogram Channel Selection Open
View article: Clivia Biosensor：Soil Moisture Identification Based on Electrophysiology Signals with Deep Learning
Clivia Biosensor：Soil Moisture Identification Based on Electrophysiology Signals with Deep Learning Open
View article: Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition
Human-Machine Cooperative Multimodal Learning Method for Cross-subject Olfactory Preference Recognition Open
Odor sensory evaluation has a broad application in food, clothing, cosmetics, and other fields. Traditional artificial sensory evaluation has poor repeatability, and the machine olfaction represented by the electronic nose (E-nose) is diff…
View article: Classification and identification of crop disease based on depthwise separable group convolution and feature fusion
Classification and identification of crop disease based on depthwise separable group convolution and feature fusion Open
Crop diseases have a significant impact on crop yields, necessitating the need for rapid and accurate detection of disease types for treatment. Traditional detection methods suffer from complexity, inefficiency, and human interference. Thi…
View article: Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG
Decoding Taste Information in Human Brain: A Temporal and Spatial Reconstruction Data Augmentation Method Coupled with Taste EEG Open
For humans, taste is essential for perceiving food's nutrient content or harmful components. The current sensory evaluation of taste mainly relies on artificial sensory evaluation and electronic tongue, but the former has strong subjectivi…
View article: Recognition of Odor and Pleasantness Based on Olfactory EEG Combined with Functional Brain Network Model
Recognition of Odor and Pleasantness Based on Olfactory EEG Combined with Functional Brain Network Model Open
View article: TC-SNet: A Triple-Channel Siamese Network Based on Few-Shot Learning for Apple Disease Detection
TC-SNet: A Triple-Channel Siamese Network Based on Few-Shot Learning for Apple Disease Detection Open
View article: Detection of Apple Taste Information Using Model Based on Hyperspectral Imaging and Electronic Tongue Data
Detection of Apple Taste Information Using Model Based on Hyperspectral Imaging and Electronic Tongue Data Open
Taste is one of the most important criteria for evaluating the quality of apples.In this study, a correlation model using hyperspectral images and quantitative taste information was built for the nondestructive detection of apple taste inf…
View article: Quantification of Acrylonitrile Butadiene Styrene Odor Intensity Based on a Novel Odor Assessment System With a Sensor Array
Quantification of Acrylonitrile Butadiene Styrene Odor Intensity Based on a Novel Odor Assessment System With a Sensor Array Open
As an engineering plastic, acrylonitrile butadiene styrene (ABS) has been widely used in the automobile trims. The odor intensity of ABS can be considered as an important reference for the quality of in-vehicle air. Currently, many automob…
View article: Odor Fingerprint Analysis Using Feature Mining Method Based on Olfactory Sensory Evaluation
Odor Fingerprint Analysis Using Feature Mining Method Based on Olfactory Sensory Evaluation Open
In this paper, we aim to use odor fingerprint analysis to identify and detect various odors. We obtained the olfactory sensory evaluation of eight different brands of Chinese liquor by a lab-developed intelligent nose. From the respective …
View article: Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples
Comparison of SVM, RF and ELM on an Electronic Nose for the Intelligent Evaluation of Paraffin Samples Open
Paraffin odor intensity is an important quality indicator when a paraffin inspection is performed. Currently, paraffin odor level assessment is mainly dependent on an artificial sensory evaluation. In this paper, we developed a paraffin od…
View article: Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose
Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose Open
Multi-sensor data fusion can provide more comprehensive and more accurate analysis results. However, it also brings some redundant information, which is an important issue with respect to finding a feature-mining method for intuitive and e…
View article: Automatic Evaluation of Sensory Information for Beer at a Fuzzy Level Using Electronic Tongue and Electronic Nose
Automatic Evaluation of Sensory Information for Beer at a Fuzzy Level Using Electronic Tongue and Electronic Nose Open
The flavor of beer is an important means of evaluating its quality.Beer flavor is the integrated embodiment of beer smell and taste information.In this work, the automatic evaluation of beer aroma, taste, and overall flavor sensory informa…
View article: Classification of transient power quality disturbance based on S-transform and fuzzy KNN
Classification of transient power quality disturbance based on S-transform and fuzzy KNN Open
This paper proposed a new method to classify transient power quality disturbances using S-transform and K-Nearest Neighbor classifier.First, S-transform was applied to perform time-frequency analysis on the power quality disturbance signal…
View article: Experiment Teaching Reform of “Software Technology Foundation” based on VB6.0
Experiment Teaching Reform of “Software Technology Foundation” based on VB6.0 Open
Software Technology Foundation" is an important basic course of automation major in the proposed university.In order to solve the main problems in experimental teaching of the course, this paper studies how to design a set of experimental …