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Liying Dong(Liying Dong),Shufang Liu(Shufang Liu),Jing Li(Jing Li),Didier Tharreau(Didier Tharreau ),Pei Liu(Pei Liu),Dayun Tao(Dayun Tao),Qinzhong Yang(Qinzhong Yang) 한국식물병리학회 2022 Plant Pathology Journal Vol.38 No.6
Rice blast is one of the most destructive diseases of rice worldwide, and the causative agent is the filamentous ascomycete Magnaporthe oryzae. With the successful cloning of more and more avirulence genes from M. oryzae, the direct extraction of M. oryzae genomic DNA from infected rice tissue would be useful alternative for rapid monitoring of changes of avirulence genes without isolation and cultivation of the pathogen. In this study, a fast, low-cost and reliable method for DNA preparation of M. oryzae from a small piece of infected single rice leaf or neck lesion was established. This single step method only required 10 min for DNA preparation and conventional chemical reagents commonly found in the laboratory. The AvrPik and AvrPi9 genes were successfully amplified with the prepared DNA. The expected DNA fragments from 570 bp to 1,139 bp could be amplified even three months after DNA preparation. This method was also suitable for DNA preparation from M. oryzae strains stored on the filter paper. All together these results indicate that the DNA preparation method established in this study is reliable, and could meet the basic needs for polymerase chain reaction-based analysis of M. oryzae.
Event-trigger Optimal Consensus for Multi-agent System Subject to Differential Privacy
Tao Dong,Huiyun Zhu,Wenjie Hu 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.9
Optimal consensus algorithm is a very useful consensus algorithm for distributed cooperative control, which makes all the agents not only achieve consensus but also minimize the cost function. However, to achieve consensus, agents need to exchange their state with each other on public channel. If attackers want to obtain the privacy information of agents, they only need to monitor the public channel. To solve this problem, a novel eventtriggered differentially privacy optimal consensus algorithm is proposed to preserve the privacy of the cost function of each agent in the whole process of consensus computation. Based on event-trigger condition, we analyze the consensus of our algorithm in detail, including the accuracy and consensus conditions. In addition, the privacypreserving analysis are also given, which exhibits that privacy of the states of all agents can be preserved. The privacy level and the sensitivity of the differential privacy are also obtained. Finally, a numerical simulation is givento illustrate the effectiveness of the theoretical results.
Optimal Viewpoint Extraction of 3D Model Based on AdaBoost Iterative Algorithm
Dong Tao 보안공학연구지원센터 2016 International Journal of Multimedia and Ubiquitous Vol.11 No.1
According to the limitations of a single measurement algorithm in the current 3D models’ viewpoint extraction, this essay puts forward a viewpoint extraction algorithm based on AdaBoost iterative algorithm, which can make the features adaptive automatically. It, firstly, extracts 3D models’ feature descriptor and feature vector in the model library and adopts AdaBoost iterative algorithm to establish rules about classification and matching from geometric features and various viewpoint extraction algorithm; then, it constructs decision classifier in order to extract optimal viewpoint. In query process, the model obtains viewpoint extraction algorithm which can suit its geometric feature through decision classifier and then gets its best view by calculation. The experimental result shows this algorithm extraction effect is superior to the one by a single measurement algorithm.
Application of Improved SVM Algorithm in Color Image De-Noising
Dong Tao 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.8
It cannot avoid the noise interference in image processing, whether it is image generation, or image transmission, among them, the most typical noise is salt and pepper noise and Gaussian noise. The salt and pepper noise will cause the image showing the random distribution of noise points, thus greatly reduce the image quality. The Gaussian noise affects the input, collection and output of the image processing. Gaussian noise will make the image blurred. Therefore, the image de-noising plays a very important role in image processing. It has direct influence on image segmentation, feature extraction and image recognition. As is known to all, the support vector machine has the advantages of solving the problem of nonlinear, high dimension and local minimum points. In this article, we use this advantage to propose an image de-noising method which is based on it. The method uses support vector regression to construct the filter for image de-noising. The feature extraction and training samples are designed to suppress different types of noise. Firstly, we use the noise pixel as the center of the 5*5 window, and generate the input vector of SVM from row to column. Secondly, we set the output of the support vector filter as an image that is not contaminated by noise. At this point, we get the training samples of SVM filter. In addition, the parameter selection of support vector machine has a great influence on the result of image de-noising. Therefore, the particle swarm optimization algorithm is proposed in this article to optimize the parameters of SVM. Finally, we adding the simulated salt and pepper noise and Gaussian noise in the original Lena image, and using several methods to carry out the de-noising experiment. From the experimental results we can see that the de-noising effect of filtering algorithm of this paper is very good for the two kinds of noise. It can effectively remove the noise, and better maintain the details and the color of the image.
Shou‑Dong Chai,Zhen‑Kun Li,Rui Liu,Tao Liu,Ming‑Feng Dong,Pei‑Zhe Tang,Jian‑Tang Wang,Sheng‑Jun Ma 대한독성 유전단백체 학회 2020 Molecular & cellular toxicology Vol.16 No.3
Background Nisoldipine can effectively suppress pulmonary arterial smooth muscle cell proliferation and c-Fos expression. Objective To identify the mechanism of the anti-inflammatory effects in monocrotaline-induced pulmonary arterial hypertension (PAH), focusing on the c-Fos/NLRP3/caspase-1 pathway. Results In a mice model of monocrotaline-induced PAH, miRNA-155 expression was increased. In an in vitro model, overexpression of miRNA-155 promoted inflammation and induced c-Fos, NLRP3, and caspase-1 protein expression. The inhibition of c-Fos reduced the effects of miRNA-155 on inflammation in an in vitro model of monocrotaline-induced PAH. The inhibition of NLRP3 reduced the effects of miRNA-155 on inflammation in an in vitro model of monocrotaline-induced PAH. Conclusions miRNA-155 increased inflammation in monocrotaline-induced PAH through c-Fos/NLRP3/caspase-1.
Orthogonal 방법을 통한 Poly(AM-DMDAAC)/MMT 고흡수성나노복합체 제조 연구
Jun Dong Yuan,Ming Zhou,Shuang Qiao Yang,Yong Guo Zhou,Nan Qin,Song Tao He,Dong Lai,Zhong Qiang Xie 한국고분자학회 2014 폴리머 Vol.38 No.1
A novel poly(AM-DMDAAC)/MMT superabsorbent nanocomposites are prepared by radical polymerizationusing ammonium persulfate (APS) and anhydrous sodium sulfite as a free radical initiator and N,N-methylene bisacrylamide(MBA) as a crosslinker. In this paper, an optimization study on the synthesis of superabsorbent nanocompositesis carried out. Orthogonal array experiment indicates that the optimized conditions is acrylamide (AM) content 23 wt%,diallyl dimethyl ammonium chloride (DMDAAAC) content 6 wt%, montmorillonite (MMT) content 4 wt%, initiatorcontent 0.2 wt% and crosslinker content 0.02 wt%. Under the optimization syntheses conditions concluded, the maximumwater absorbency in distilled water is 659.53 g·g-1 and in 2 wt% sodium chloride solution is 116.25 g·g-1. Compared withthe range values of different factors (Rj), the order of significance factors in distilled water is C (MMT) > B (DMDAAC)> A (AM) > D (crosslinker) > E (initiator). MMT is intercalated during polymerization reaction and a nanocompositestructure is formed as shown by TEM analysis and XRD analysis.
Shuaiqi Dong,Dong Zhao,Lei Li,Xiaowei Li,Tao Chen 한국지질과학협의회 2023 Geosciences Journal Vol.27 No.1
CBM (Coalbed methane) belongs to unconventional natural gas mineral resources. The development and utilization of CBM can greatly reduce the occurrence of mine gas accidents, and how to improve the desorption capacity of CBM has always been a hot issue for researchers. Liquid nitrogen has obvious effect on coal seam cracking and permeability improvement. The purpose of this paper is to study the cracking mechanism of liquid nitrogen on coal, and provide a theoretical basis for using liquid nitrogen freezing and thawing to treat coal so as to improve the production of coalbed methane. Coal samples from Yangquan County, Shanxi Province were pretreated. The pore structure test, microscopic observation test and methane isothermal adsorption test were carried out after the coal samples with different particle sizes were treated with different liquid nitrogen freeze-thaw cycles. According to the experimental data, the evolution law of pores of coal before and after freezing and thawing with liquid nitrogen, the cracking mechanism of coal treated with freezing and thawing with liquid nitrogen, and the optimal number of freezing and thawing cycles with liquid nitrogen are analyzed. The results show that: 1) the evolution characteristics of pore structure of lower coal after liquid nitrogen freezing and thawing are that micropores in coal are promoted to develop into transition pores and mesopores, and mesopores and transition pores develop into macropores and fractures. 2) Through the observation of a metallographic microscope, the expansion degree of coal surface crack is positively correlated with the times of liquid nitrogen freeze-thaw. 3) Liquid nitrogen freeze-thaw treatment has an optimal number of cycles for the cracking degree of coal. With the increase of freeze-thaw cycles, the final adsorption capacity of coal pillar increases first and then decreases; The adsorption capacity of granular coal first increases and then decreases. After reaching freeze-thaw saturation, continued freeze-thaw is not conducive to the increase of adsorption capacity. These research results provide theoretical support for the implementation of liquid nitrogen fracturing and permeability enhancement technology in coal reservoirs.