Detection of Cucumber Powdery Mildew Based on Spectral and Image Information

Xu Ji Tong,Zhang Zhe,Guo Yu Hang,Liu Yufeng,Ning Xiao Feng 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.2

Purpose The aim of this study was to fi nd the optimal detection method for cucumber powdery mildew and improve the identifi cation effi ciency. Methods Image segmentation technology was used to extract spot images and grade classifi cation of powdery mildew. The relationship between powdery mildew spot and spectral refl ectance and intensity was studied. The powdery mildew detection model was established by using qualitative analysis and quantitative prediction methods combined with greenness ( a* ) indices of cucumber leaves. Results There were strong positive correlations between greenness and spectrum in some characteristic bands. Through the extraction of disease spot images and disease classifi cation, it was found that the higher the disease grade of leaves was, the higher the spectral refl ectivity and fl uorescence intensity. In the quantitative prediction model, the R 2 of the NIR spectrum was improved (0.8742) after MSC and SPA, and the eff ect of the fl uorescence spectrum model was not ideal. In the qualitative discriminant model, KNN and ensemble subspace discriminant were obtained for two kinds of spectra, and the identifi cation accuracy of the qualitative model was 97.5% after verifi cation. Conclusion An NIR spectral model can be used for the quantitative prediction of cucumber powdery mildew. The qualitative discriminant model had high accuracy for cucumber powdery mildew.

Dynamic and motion consistency analysis for a planar parallel mechanism with revolute dry clearance joints

Bicai Xu,Xupeng Wang,Xiaomin Ji,Ruiting Tong,Yanmin Xue 대한기계학회 2017 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.31 No.7

The aim of the research was to introduce a methodology for dynamic response and motion consistency research on multibody system with multiple revolute clearance joints. An improved impact force model and a modified friction force model were introduced to evaluate the effects of impact and friction in clearance joints. A planar parallel mechanism which has two clearance joints in the left wing and the right wing was also used as an example. From the results based on different conditions, clearance has slight influence on the angular displacement and angular velocity, but obvious effect on angular acceleration. And with same clearance values of left wing and right wing, the motion consistency of the parallel mechanism is very good, which means the dynamic response of two wings is almost symmetrical. When the two clearance joints have different clearance values, the motion consistency and relative error between two wings are much obvious, especially the angular acceleration.

A Microprocessor Monitoring System Application in Macau Power Plant

Chen Wei Ji,Pun Sio Hang,Xu Leyan,Vong On Tong,Wong Chan Wa,Lau Ka Va 대한전자공학회 1997 ITC-CSCC :International Technical Conference on Ci Vol.- No.-

Drying Characteristics and Models of Red Ginseng Slice Using Far-Infrared Rays

Ning Xiao Feng,Xu Ji Tong,장문기 한국농업기계학회 2021 바이오시스템공학 Vol.46 No.4

Purpose The aim of this study was to improve the drying quality and find the suitable drying model for the far-infrared drying of red ginseng slice. Methods The far-infrared drying tests on ginseng slice were conducted at two slice thickness of 2 and 4 mm and three drying temperatures of 50, 60, and 70 °C. The results were compared with the hot air drying method. The drying characteristics were analyzed based on factors such as drying rate, color changes, and elastic modulus. The Page, modified Wang and Singh, and logarithmic models were used to select the best model for far-infrared drying of red ginseng slices. Results The results revealed that increasing drying temperature and decreasing ginseng thickness caused a decrease in drying time. The color differences (ΔE) at 70 °C values were higher than 50 and 60 °C values. The highest elastic modulus (32.42 MPa) was observed at drying temperatures of 60 °C ginseng slice of 4mm. The drying quality of far-infrared dryingwas better than that of hot air drying under the same drying condition. The Page model showed the highest R2 values and lowest RMSE values than the other models. Conclusion The quality of red ginseng slice can be improved by far-infrared drying. The Page model was the best model to fit adequately most of the drying conditions for the far-infrared drying of red ginseng slice.

Impacts of shape and height of building roof on airflow and pollutant dispersion inside an isolated street canyon

Huang, Yuan-Dong,Xu, Xuan,Liu, Ze-Yu,Deng, Ji-Tong,Kim, Chang-Nyung Taylor and Francis 2016 Environmental forensics Vol.17 No.4

Darapladib, a Lipoprotein-Associated Phospholipase A2 Inhibitor, Reduces Rho Kinase Activity in Atherosclerosis

Juan Zhang,Dong-Ling Xu,Xiao-Bo Liu,Shao-jie Bi,Tong Zhao,Shu-Jian Sui,Xiao-Ping Ji,Qing-Hua Lu 연세대학교의과대학 2016 Yonsei medical journal Vol.57 No.2

Purpose: Increased lipoprotein-associated phospholipase A2 (Lp-PLA2) activity and Rho kinase activity may be associated with atherosclerosis. The principal aim of this study was to examine whether darapladib (a selective Lp-PLA2 inhibitor) could reduce the elevated Lp-PLA2 and Rho kinase activity in atherosclerosis. Materials and Methods: Studies were performed in male Sprague-Dawley rats. The atherosclerosis rats were prepared by feeding them with a high-cholesterol diet for 10 weeks. Low-dose darapladib (25 mg·kg-1·d-1) and high-dose darapladib (50 mg·kg-1·d-1) interventions were then administered over the course of 2 weeks. Results: The serum levels of triglycerides, total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoproteincholesterol (HDL-C), high-sensitivity C-reactive protein (hs-CRP), and Lp-PLA2, significantly increased in atherosclerosis model groups, as did Rho kinase activity and cardiomyocyte apoptosis (p<0.05 vs. sham group), whereas nitric oxide (NO) productionwas reduced. Levels of TC, LDL-C, CRP, Lp-PLA2, and Rho kinase activity were respectively reduced in darapladib groups, whereas NO production was enhanced. When compared to the low-dose darapladib group, the reduction of the levels of TC, LDL-C, CRP, and Lp-PLA2 was more prominent in the high-dose darapladib group (p<0.05), and the increase of NO productionwas more prominent (p<0.05). Cardiomyocyte apoptosis of the high-dose darapladib group was also significantly reduced compared to the low-dose darapladib group (p<0.05). However, there was no significant difference in Rho kinase activity between the low-dose darapladib group and the high-dose darapladib group (p>0.05). Conclusion: Darapladib, a Lp-PLA2 inhibitor, leads to cardiovascular protection that might be mediated by its inhibition of both Rho kinase and Lp-PLA2 in atherosclerosis.

Chinese herbal injections in combination with radiotherapy for advanced pancreatic cancer: A systematic review and network meta-analysis

Yun-Ru Chen,Ruo-Tong Zhao,Yi-Fang Xu,Yin-Jie Ma,Shao-Bo Hu,Xue-Hui Wang,Bing-Bing Fan,Yan-Ji Zhou,Yu-Bei Huang,Nicola Robinson,Jian-ping Liu,Zhao-Lan Liu 한국한의학연구원 2023 Integrative Medicine Research Vol.12 No.4

Background: Advanced pancreatic cancer (APC) is a fatal disease with limited treatment options. This study aims to evaluate the effectiveness and safety of different Chinese herbal injections (CHIs) as adjuvants for radiotherapy (RT) in APC and compare their treatment potentials using network meta-analysis. Methods: We systematically searched three English and four Chinese databases for randomized controlled trials (RCTs) from inception to July 25, 2023. The primary outcome was the objective response rate (ORR). Secondary outcomes included Karnofsky performance status (KPS) score, overall survival (OS), and adverse events (AEs). The treatment potentials of different CHIs were ranked using the surface under the cumulative ranking curve (SUCRA). The Cochrane RoB 2 tool and CINeMA were used for quality assessment and evidence grading. Results: Eighteen RCTs involving 1199 patients were included. Five CHIs were evaluated. Compound Kushen injection (CKI) combined with RT significantly improved ORR compared to RT alone (RR 1.49, 95 % CrI 1.21–1.86). Kanglaite (KLT) plus RT (RR 1.58, 95 % CrI 1.20–2.16) and CKI plus RT (RR 1.49, 95 % CrI 1.16–1.95) were associated with improved KPS score compared to radiation monotherapy, with KLT+RT being the highest rank (SUCRA 72.28 %). Regarding AEs, CKI plus RT was the most favorable in reducing the incidence of leukopenia (SUCRA 90.37 %) and nausea/vomiting (SUCRA 85.79 %). Conclusions: CKI may be the optimal choice of CHIs to combine with RT for APC as it may improve clinical response, quality of life, and reduce AEs. High-quality trials are necessary to establish a robust body of evidence. Protocol registration: PROSPERO, CRD42023396828.

Detection of Powdery Mildew of Bitter Gourd Based on NIR/Fluorescence Spectra

Gao Jia Yu,Wei Dong Zheng,Wang Xiang,Tang Jin Cheng,Xu Ji Tong,Zhao Ping,Ning Xiao Feng 한국농업기계학회 2023 바이오시스템공학 Vol.48 No.3

Purpose Powdery mildew as one of the common vegetable diseases has very rapid infection. Its outbreak will bring about disastrous consequences to vegetable output; thus, it is of key importance to do rapid identifi cation and prevention of powdery mildew. Methods In this test, 100 bitter gourd leaves were collected as research samples, and the data of near-infrared spectra, fl uorescence spectra, and chromatic values L*a*b* , and the classic K-S algorithm was adopted to divide the sample sets; then, the quantitative forecasting and qualitative discrimination models were established. First, Pearson’s correlation analysis was carried out to fi nd the feasibility of taking a * as the modeling parameter, through cross-validation; the quantitative forecasting model was optimized by the PLSR (partial least squares regression) method. The model is also optimized by extracting the spectral feature bands using the continuous projection SPA method. Results The optimization results showed that the MSC + SPA + PLSR quantitative forecasting model of near-infrared spectra could eff ectively improve model precision, which was signifi cantly higher than that of fl uorescence spectra. Classifi cation Leaner was used to establish the quantitative forecasting model. Compared with the model of near-infrared spectra, the SPA + SVM qualitative discrimination model of fl uorescence spectra could improve the identifi cation precision of powdery mildew of bitter gourd as high as 98% through training. Conclusion This study proposed diff erent combination methods based on quantitative forecasting and qualitative discrimination and could provide a method and reference to the identifi cation of powdery mildew of bitter gourd.