Deyong Yang

Jiangsu University

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i-10 index

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Weijun Xie

Nanjing Forestry University

Liuyang Ren

China Agricultural University

Zhaohui Zheng

China Agricultural University

Shuo Wei

Henan University of Science and Technology

Hanyu Fu

China Agricultural University

Fenghe Wang

Chinese Academy of Medical Sciences & Peking Union Medical College

Jingshen Xu

China Agricultural University

Pei Yang

China Agricultural University

Yankun Peng

Tianjin University

Lanlan Lv

China Agricultural University

Cooperative Institutions

China Agricultural University

Jiangsu University

Dalian Medical University

First Affiliated Hospital of Dalian Medical University

Korea Advanced Institute of Science and Technology

Chinese Academy of Sciences

Shanghai Jiao Tong University

Zhejiang University

Dalian University of Technology

Sichuan University

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STUDY ON THE SIMULATION AND TEST OF MIXED FLOW GRAIN DRYER

The Proceedings of the 5th Asia-Pacific Drying Conference (2007)

Chuan Cao Deyong Yang Qiangsheng Liu

10.1142/9789812771957_0069

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Citations (0)

Analysis and Design of Industrial Hot Extrusion Process through Square Dies for Manufacturing Complicated Al Alloy Profiles

CIRP Annals (1996)

Deyong Yang Y.S. Kang

Square (algebra)

Viscoplasticity

Material Flow

10.1016/s0007-8506(07)63055-8

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Citations (15)

A Moisture Transmembrane Transfer Model for Pore Network Simulation of Plant Materials Drying

Drying Technology (2012)

Xiaoli Huang Tingting Qi Zhenhua Wang Deyong Yang Xiangdong Liu

Abstract The drying of plant materials with cellular tissue is often viewed as drying of porous media that is assumed to consist of cell cytoskeleton and intercellular space. Various approaches have been reported in the literature to describe heat and mass transfer during drying of such porous materials. However, the fact remains that the water in a cellular tissue is mostly intracellular and it should be driven out of the cells across cell membranes before transporting in cell gaps, as in a general porous media. In the present study, the transport process of moisture in a cellular tissue was analyzed. A mathematical model for moisture transport across the cell membrane was established, which was correlated to a self-developed, dual-scale pore network model (cell and pore network) for drying of plant materials. The relationship between mass volumetric flux and average intracellular moisture content was developed based on the microscopic images and the drying experiments. Keywords: Isothermal dryingMass transfer modelMoisture transmembrane transportOnionPorous media ACKNOWLEDGMENT The work was financially supported by the National Natural Science Foundation of China (No. 51076163).

10.1080/07373937.2012.718306

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Citations (9)

Design of A New Type Horizontal Rotary Drying Chamber

Yi Jin Zhongjie Zhang Deyong Yang Hongqing Zhang Jun Yin

In order to overcome the adverse effect of traditional grain drier on grain quality, a new type horizontal rotary drying chamber was designed and developed. The characteristic of this equipment is that the grain is dried at low temperature, and the whole machine rotates slowly to stir the grain, so as to ensure the uniformity of moisture content after the grain is dried, reduce the mechanical damage to grain in the drying process, and ensure the grain drying quality. In order to verify the performance of the equipment, a corn drying test was carried out. After 48 hours of continuous drying, the moisture content (24% wet basic) of 30.8t newly harvested high-moisture corn was dried to 15%, the drying curve was smooth, the drying process was stable, the non-uniformity after drying was less than 1%, and the unit energy consumption was about 0.19 kW-h/ (1% moisture -t). The experimental results showed that the moisture content of corn after drying was uniform, and the energy consumption was low. Therefore, it is a new warehouse type suitable for large farmers' corn drying and short-term storage, and provides a new technology method and idea for grain drying and storage in the future.

10.1109/icitbs53129.2021.00074

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Citations (1)

Study and Improvement for Slice Smoothness in Slicing Machine of Lotus Root

IFIP advances in information and communication technology (2010)

Deyong Yang Jianping Hu Enzhu Wei Hengqun Lei Xiangci Kong

Bevel

Crank

10.1007/978-3-642-12220-0_63

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Compact optimization method of sample data and its application to axial fans on-line condition monitoring and fault diagnosis

Lili Dong Deyong Yang Jianping Hu Qizhi Yang Yongguang Hu

A compact optimization method with neural network fault diagnosis samples is presented by combining with grey correlation analysis theory, so as to resolve on-line fault diagnosis issues on massive amounts of samples affecting the neural network diagnostic performances and its application in engineering. This method is utilized to enhance the network performances of neural network, and speed up the convergent velocity, so as to reduce the time and misjudgment of the condition monitoring in the neural network and fault diagnosis, while its application steps in fault diagnosis are designed to be applied for the sample compact optimization of coal mine ventilator fault diagnosis. The simulation result shows that this method in this paper can be effective. Compared with the rough set neural network method, it has the advantage of simplified computation that is convenient for engineering applications.

Line (geometry)

Sample (material)

10.1109/icitec.2014.7105587

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Segmentation of the Germ from Corn Kernel CT Image Based on the Mask-RCNN

2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML) (2022)

Zhaohui Zheng Ben Fan Liuyang Ren Hanyu Fu Lanlan Lv

The drying cracks were predominantly generated in the endosperm and there was no crack in the germ, thus the germ should be segmented from corn kernel computed tomography (CT) images for studying the formation and propagation of the drying crack. The CT images of the corn kernel were often manually segmented, which was time-consuming and poor in accuracy. A segmentation model based on a Mask region convolutional neural network was developed for segmenting the CT images of the germ. The average precision and mean of pixel accuracy were 1 and 0.985 respectively, and the processing rate was 3-4images/s, which indicated that the segmentation model could segment effectively the germ with high segmentation efficiency.

Kernel (algebra)

Wheat germ

10.1109/icicml57342.2022.10009805

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Dynamic Water and Fertilizer Management Strategy for Greenhouse Tomato Based on Morphological Characteristics

Agriculture (2025)

Zhiyu Zuo Tie Gang Lu Jianfan Sun Haitao Peng Deyong Yang

A dynamic management strategy for water and fertilizer application based on morphological characteristics was developed to enhance water use efficiency (WUE) and fruit yield in greenhouse-cultivated tomato (Solanum lycopersicum L.). Multivariate regression analysis was employed to determine the baseline water and fertilizer requirements and to evaluate the effects of varying irrigation and fertilization regimes on fruit yield and WUE. A coupled irrigation–fertilization experiment was conducted, and regression models were established to describe the changes in stem diameter and plant height under these regimes. These models were validated experimentally. The results showed that irrigation significantly influenced both tomato fruit yield and WUE, while fertilization significantly impacted yield, but not WUE. No interactive effects between irrigation and fertilization were observed for either parameter. Stem diameter and plant height were positively correlated with the irrigation and fertilization levels. The proposed dynamic management strategy improved fruit yield by 6.9% and 14.7% under the basic and well-irrigated/fertilized conditions, respectively, compared to that of the fixed regime. Furthermore, model implementation increased WUE by 6.93% and 43.17% and improved the economic benefits by 4.9% and 20.6% under the respective conditions. This provides a practical and effective tool for optimizing water and fertilizer management in greenhouse tomato production, contributing to resource-efficient and high-yield farming practices.

10.3390/agriculture15030304

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Detection of salbutamol in fresh muscle based on solid SERS substrate

2021 ASABE Annual International Virtual Meeting, July 12-16, 2021 (2021)

Wenlong Zou Yankun Peng Qinghui Guo Deyong Yang Kuanglin Chao

Abstract. In this research, the silver nanospheric self-assembled monolayer was transferred to the polydimethylsiloxane (PDMS) sheet by the Langmuir-Schaefer method to develop a fast detection method of SERS for salbutamol in muscle tissues. The SERS spectra were obtained using 785 nm exciting radiation with 180 mW laser power and 5 s exposure time. The SERS spectra of organic sub stances have severe fluorescence background, so it is crucial to remove fluorescence background from Raman signal first for subsequent signal analysis. In this study, Savitzky-Golay 5-point smoothing filter and the adaptive iteratively reweighted Penalized Least Squares (airPLS) correction method were used to remove the random noise and the fluorescence background for improving the accuracy of SERS results. We acquired the SERS spectra of salbutamol standard solution with different concentration from 0.01mg/L to 7 mg/L. The SERS signals intensities decreased when the concentrations decreased. It could be found that Raman peak of salbutamol at 1609 cm^-1 was still quite clear even at low concentration of 0.1 mg/L, which could be used for monitoring the salbutamol levels. Regression model showed a good linear relationship (R²=0.939) between the intensity of characteristic spectral peak at 1609 cm^-1and concentration of salbutamol. The reproducibility of SERS detection is a very important parameter for SERS method. SERS signals of 20 groups of muscle tissue samples with salbutamol of the same concentration were measured to evaluate the reproducibility, and the relative standard deviation (RSD) of 20 parallel samples at 1253, 1489, 1609 cm^-1 were 6.63%, 6.82%, 5.34%, which indicated good stability of the present method. Muscle tissues were prepared with salbutamol at the concentration of 0.01-7 mg/kg. The lowest detectable levels for salbutamol concentration is 0.5 mg/kg for muscle tissues. Therefore, after the pretreatment of spectra, we constructed the model based on characteristic spectral peak of 1609 cm^-1 intensity and salbutamol concentration in muscle tissues, and the determination coefficient of its content and the predicted measured value is 0.936, the detection range is 0.5-7.0 mg/kg. The recovery rate of muscle tissues is 58.4%-75.1%. The results showed that using solid SERS substrate to detect β-agonists in fresh muscle tissue was feasible and had better stability.

10.13031/aim.202100298

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Citations (1)

Remote intelligent sensing system for pork freshness change during storage

2022 Houston, Texas July 17-20, 2022 (2022)

Wenlong Zou Yankun Peng Deyong Yang Qinghui Guo

Abstract. In order to realize the remote real-time non-contact detection of freshness changes of pork in the cold room (0~4â), this study designed a remote intelligent sensing system based on multispectral technology. By comparing and analyzing the variation law of pork reflection spectrum of ring probe and condensing probe at different detection heights, it was finally determined that the multispectral system with condensing probe combined with 5 mm detection height was the most suitable for non-contact acquisition of pork's diffuse reflectance spectrum. Then, the hardware system is designed in combination with the Internet of Things module, and the real-time control, data analysis and transmission software of the device is developed by using C language. The constructed system was used to collect the diffuse reflectance spectra of pork samples in the cold room, and two modeling analysis methods, PLSR and MLR, were compared. The results show that the results of the two modeling methods are not very different, and SNV preprocessing can improve the performance of the model. Among them, the SNV-MLR model had the best prediction effect on pork TVB-N content, the prediction correlation coefficient was 0.8103, and the prediction root mean square error was 1.7240 mg/100g. Through the Internet of Things module, the detection results can be updated and displayed in real time on the remote control terminal. The experimental verification shows that the intelligent sensing system designed in this paper can meet the monitoring requirements of the change of pork freshness in the cold room, and provides a reference for the realization of remote real-time monitoring of livestock and poultry meat quality in the cold room.

10.13031/aim.202200185

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Citations (1)