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- 저자 : ( Xiang Ning Zheng ) (검색결과 5 건)
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A Virtual Optical Encryption System Based on Polarization Optics
Kang-Ning Wu,Yu-Xiang Zheng,Dong-Xu Zhang,Yu-Hui Tao,Rong-Jun Zhang,Liang-Yao Chen 한국물리학회 2012 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.60 No.8
In this paper, an encryption system is proposed based on polarization optics. A modulated image at reference plane was obtained by using a virtual magneto-optical modulator, and the field from the reference plane interfered with that from the information plane having the original image to form an encrypted image. This system not only has the advantages of multiple freedom degrees, high security strength and data manipulation in high-dimension as the traditional optical information processing system but also possesses the advantages of data processing flexibility in the computer information process. Numerical experiments prove that images encrypted by using this system have a high level of security, so it is hard for attackers to analyze the original images.
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Emergency decision-making model for production expansion using Monte Carlso simulation
Kang-ning Zheng,Xiang-yang Li 인하대학교 정석물류통상연구원 2009 인하대학교 정석물류통상연구원 학술대회 Vol.2009 No.10
In order to reduce the risk in emergency decision-making of production expansion of a supply chain, this research devotes to establishment of a supply chain business decision-making risk function with the employment of using the Monte Carlo simulation to estimate corresponding variables. The risk function at a value range of relatively low risk investment is achieved by the Monte Carlo simulation. The range of calculation value produced by traditional method is larger than that produced by Monte Carlo method. This result is mainly because of random variable values in Monte Carlo method. THE research verifies that Monte Carlo method can be effectively used to establish emergency decision-making model of production expansion in supply chains. Thus, Monte Carlo method can be viewed as a new approach which can effectively reduces the risk in supply chain investment decision.
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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.
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The role of extracellular vesicles in osteoarthritis treatment via microenvironment regulation
Han Yin,Muzhe Li,Guangzhao Tian,Yang Ma,Chao Ning,Zineng Yan,Jiang Wu,Qian Ge,Xiang Sui,Shu-Yun Liu,Jinxuan Zheng,Weimin Guo,Quan-Yi Guo 한국생체재료학회 2022 생체재료학회지 Vol.26 No.4
Osteoarthritis (OA) is a degenerative joint disease that is common among the middle-aged and older populations, causes patients to experience recurrent pain in their joints and negatively affects their quality of life. Currently, therapeutic options for patients with OA consist of medications to alleviate pain and treat the symptoms; however, due to typically poor outcomes, patients with advanced OA are unlikely to avoid joint replacement. In recent years, several studies have linked disrupted homeostasis of the joint cavity microenvironment to the development of OA. Recently, extracellular vesicles (EVs) have received increasing attention in the field of OA. EVs are natural nano-microcarrier materials with unique biological activity that are produced by cells through paracrine action. They are composed of lipid bilayers that contain physiologically active molecules, such as nucleic acids and proteins. Moreover, EVs may participate in local and distal intercellular and intracellular communication. EVs have also recently been shown to influence OA development by regulating biochemical factors in the OA microenvironmental. In this article, we first describe the microenvironment of OA. Then, we provide an overview of EVs, summarize the main types used for the treatment of OA, and describe their mechanisms. Next, we review clinical studies using EVs for OA treatment. Finally, the specific mechanism underlying the application of miRNA-enriched EVs in OA therapy is described.
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( Yi Lu Bao ),( Shu Mei Wen ),( Wei Cong ),( Xia Wu ),( Xiang Ning Zheng ) 한국미생물 · 생명공학회 2012 Journal of microbiology and biotechnology Vol.22 No.7
Cultivation of Spirulina platensis using ammonium salts or wastewater containing ammonium as alternative nitrogen sources is considered as a commercial way to reduce the production cost. In this research, by analyzing the relationship between biomass production and ammonium- N consumption in the fed-batch culture of Spirulina platensis using ammonium bicarbonate as a nitrogen nutrient source, an online adaptive control strategy based on optical density (OD) measurements for controlling ammonium feeding was presented. The ammonium concentration was successfully controlled between the cell growth inhibitory and limiting concentrations using this OD-based feedback feeding method. As a result, the maximum biomass concentration (2.98 g/l), productivity (0.237 g/l·d), nitrogen-to-cell conversion factor (7.32 gX/gN), and contents of protein (64.1%) and chlorophyll (13.4mg/g) obtained by using the OD-based feedback feeding method were higher than those using the constant and variable feeding methods. The OD-based feedback feeding method could be recognized as an applicable way to control ammonium feeding and a benefit for Spirulina platensis cultivations.
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