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您的检索式：作者名="Jingru MENG"
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| 1 | Chitosan as A Preservative for Fruits and Vegetables:A Review on Chemistry and Antimicrobial Properties显示文摘Chitosan,derived from chitin,a major constituent(in quantity)of crustaceans,is a unique aminopolysaccharide with emerging commercial potential in agriculture,food,pharmaceuticals and nutraceuticals due to its nontoxic,biodegradable and biocompatable properties.Chitosan coating on fruits and vegetables has been found to be effective for the reduction of a variety of harmful micro-organims and extend the shelf-life of these products.In this review,our focus is on the antimicrobial properties of chitosan and its application as a natural preservative for fresh products.We detailed the key properties that are related to food preservation,the molecular mechanism of the antimicrobial activity of chitosan on fungi,gram-positive and gram-negative bacteria,coating methods for using chitosan and its formulation for preserving fruits and vegetables,as well as the radiation method of producing chitosan from chitin.Understanding the economic and scientific factors of chitosan’s production and efficiency as a preservative will open its practical application for fruits and vegetable preservation. | Chao DUAN Xin MENG Jingru MENG MdIqbal Hassan KHAN Lei DAI Avik KHAN Xingye AN Junhua ZHANG Tanzina HUQ Yonghao NI | 2019 | Journal of Bioresources and Bioproducts2019，4，1： | 1 |
| 2 | Segmentation of the communication tower and its accessory equipment based on geometrical shape context from 3D point cloud显示文摘Communication tower(CT)and its accessory equipment(AE)such as radio frequency equipment(RFE)and antenna,are essential in providing highspeed and stable mobile network services.It is necessary to routinely monitor the security and stability of CT and AE for seamless communication.There is limited research on fine segmentation of communication base station objects.This paper proposes a method for accurately segmenting the point cloud of the CT and AE from Terrestrial Laser Scanning(TLS)data.At first,the CT point cloud is accurately segmented based on region growing and Random Sample Consensus(RANSAC).Then,the point cloud of pole-shaped apart is extended to a certain distance to obtain the buffer point cloud containing AE.Normal Differential(ND)clustering is employed to obtain several groups of clusters containing planes,and calculate each plane's filling rate and size.Finally,the cluster type(such as antenna,RFE,or other)is distinguished.The experimental results demonstrate that the point-based average F1-score of CTs is 98.70%,the point-based and object-based average F1-scores of antennas are 96.09%and 97.93%,and the corresponding values for the RFE are 89.89%and 90.00%,respectively,indicating the optimal performance of the proposed method. | Jingru Wang Cheng Wang Xiaohuan Xi Meng Du Pu Wang Sheng Nie | 2022 | International Journal of Digital Earth2022，15，1： | 1 |
| 3 | CEPC positron source design显示文摘Purpose Circular Electron Positron Collider(CEPC)is a 100-km-ring e+e−collider for a Higgs factory.The injector is composed of a 10-GeV Linac and a 120-GeV Booster.The CEPC Linac is a normal conducting S-band Linac with frequency of 2860 MHz providing electron and positron beams at an energy up to 10 GeV with 100 Hz repetition frequency.The positron source is the most important part of the CEPC Linac,and the bunch charge of positron beam within some cut-off condition should be larger than 3 nC.Methods The positron source of CEPC is composed of a target,a flux concentrator,a capture section,a pre-accelerating section and a beam separation system.Higher positron yield and capture efficiency are the design goal.Based on simulation,the design will be presented and discussed in detail.Result The positron yield at the PSPAS exit is larger than 0.55,and the normalized rms emittance is 2370 mm-mrad with a strict cut-off condition.The detailed simulation results will be presented.Conclusions The design of the positron source including positron production and capture will be presented and can meet the requirements. | Cai Meng Xiaoping Li Guoxi Pei Jingru Zhang | 2019 | Radiation Detection Technology and Methods2019，3，3： | 0 |
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