Chinese Spirits Identification Model Based on Mid-Infrared Spectrum

Applying computer technology to the field of food safety,and how to identify liquor quickly and accurately,is of vital importance and has become a research focus.In this paper,sparse principal component analysis(SPCA)was applied to seek sparse factors of the mid-infrared(MIR)spectra of five famous vintage year Chinese spirits.The results showed while meeting the maximum explained variance,23 sparse principal components(PCs)were selected as features in a support vector machine(SVM)model,which obtained a 97%classification accuracy.By comparison principal component analysis(PCA)selected 10 PCs as features but only achieved an 83%classification accuracy.Although both approaches were better than a direct SVM approach based on the classification results(64%classification accuracy),they also demonstrated the importance of extracting sparse PCs,which captured most important information.The combination of computer technology SPCA and MIR provides a new and convenient method for liquor identification in food safety.

An Improved Approach to the Performance of Remote Photoplethysmography

Heart rate is an important metric for determining physical and mental health.In recent years,remote photoplethysmography(rPPG)has been widely used in characterizing physiological signals in human subjects.Currently,research on non-contact detection of heart rate mainly focuses on the capture and separation of spectral signals from video imagery.However,this method is very sensitive to the movement of the test subject and light intensity variation,and this results in motion artifacts which presents challenges in extracting accurate physiological signals such as heart rate.In this paper,an improved method for rPPG signal preprocessing is proposed.Based on the well known red green blue(RGB)color space,we segmented skin tone in different color spaces and extracted rPPG signals,after which we use a skin segmentation training model based on the luminance component,the blue-difference chroma components,and red-difference chroma components(YCbCr),as well as hue saturation intensity(HSI)color models.In the experimental verification section,we compare the robustness of the signal on different color spaces.In summary,we are experimentally verifying a better image pre-processing method based on real-time rPPG,which results in more precise measurements through the comparative analysis of skin segmentation and signal quality.

A prognostic model of patients with pancreatic cancer based on four N^(6)-methyladenosine-related IncRNAs and analysis of related immune infiltration

Pancreatic cancer is one of the most lethal malignant tumors in the world.Despite advances in diagnosis and treatment,the five-year survival rate for pancreatic cancer patients remains only 9%.1 Pancreatic adenocarcinoma(PAAD)belongs to pancreatic cancer,which occupies 85%of the whole pancreatic cancer.2 Reversible modification of Ne-methyladenosine(m^(6)A)has been shown to be involved in cancer progression,resulting in up-regulation of oncogene expression or down-regulation of tumor-suppressing genes and may affect the prognosis of patients with pancreatic cancer.

Face stability analysis of large shield-driven tunnel in rock-soil interface composite formations

A new 3D log-spiral model(LS-M model)is proposed to determine the minimal support pressure on the tunnel face of a large shielddriven tunnel in rock-soil interface(RSI)composite formations.In the proposed LS-M model,we define the RSI angle ω and use a new approach to calculate the equivalent tunnel face area,which provides a collapse zone with more realistic geometry than the traditional wedge model.And it has acceptable accuracy with simpler implementation than limit equilibrium analysis.Comparing with previous studies and 3D numerical analysis,it indicates that:(i)the LS-M results agree well with others in full-soil formations on the variation patterns of minimum support pressure and stability coefficients N_(c) and N_(γ);(ii)the critical RSI angle ω_(cr),which is predominantly influenced by soil cohesion,increases with the soil property values;(iii)the limit support pressure starts to increase with ω only when ω>ω_(cr);(iv)the peak support pressure occurs at lower C/D with a lower ω;(v)ω can only affect stability coefficients N_(c) and N_(γ) when ω and the friction angle are relatively small,while N_(s) is substantially influenced by RSI angle ω.