http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
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.
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.
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.
The treatment effect of novel hGHRH homodimer to male infertility hamster
Xu-Dong Zhang,Xiao-Yuan Guo,Jing-Xuan Tang,Lin-Na Yue,Juan-Hui Zhang,Tao Liu,Yu-Xia Dong,Song-Shan Tang 대한생리학회-대한약리학회 2018 The Korean Journal of Physiology & Pharmacology Vol.22 No.6
Extra-hypothalamic growth hormone-releasing hormone (GHRH) plays an important role in reproduction. To study the treatment effect of Grin (a novel hGHRH homodimer), the infertility models of 85 male Chinese hamsters were established by intraperitoneally injecting 20 mg/kg of cyclophosphamide once in a week for 5 weeks and the treatment with Grin or human menopausal gonadotropin (hMG) as positive control was evaluated by performing a 3-week mating experiment. 2-8 mg/kg of Grin and 200 U/kg of hMG showed similar effect and different pathological characteristics. Compared to the single cyclophosphamide group (0%), the pregnancy rates (H-, M-, L-Grin 26.7, 30.8, 31.3%, and hMG 31.3%) showed significant difference, but there was no difference between the hMG and Grin groups. The single cyclophosphamide group presented loose tubules with pathologic vacuoles and significant TUNEL positive cells. Grin induced less weight of body or testis, compactly aligned tubules with little intra-lumens, whereas hMG caused more weight of body or testis, enlarging tubules with annular clearance. Grin presented a dose-dependent manner or cell differentiation-dependentincrease in testicular GHRH receptor, and did not impact the levels of blood and testicular GH, testosterone. Grin promotes fertility by proliferating and differentiating primitive cells through up-regulating testicular GHRH receptor without triggering GH secretion, which might solve the etiology of oligoasthenozoospermia.
이동헌(Dong-heon Lee),박성준(Sung-jun Park),우도(Yu Tao),김동옥(Dong-ok Kim),윤철호(Cheol-ho Yun) 전력전자학회 2007 전력전자학술대회 논문집 Vol.- No.-
본 논문에서는 유한요소 해석 소프트웨어를 이용하여 연질금속을 접합할 수 있는 초음파 금속용접기용 트랜스듀서를 개발하였다. 개발된 트랜스듀서는 35㎑의 공진 주파수의 특성을 갖게 설계하였으며 트랜스듀서 플랜지의 종축변위가 최소가 되도록 설계하였다. 볼트체결형 트랜스듀서는 결속력에 따라 기계적 Q값이 변동되어 출력에 많은 영향을 준다. 따라서 특성 실험을 통하여 트랜스듀서에 대한 체결토크를 최적화하였다.
Ramp-Strike Risk Evaluation Making of Carrier-Based Aircraft
Hai-tao Jiang,Xiao-dong Su,Hui Li 보안공학연구지원센터 2014 International Journal of Control and Automation Vol.7 No.10
To make “Ramp-Strike Risk” evaluation making accurately, this paper introduces a new wave-off risk assessment method based on neural network of carrier-based aircraft. On account of defining “Wave-Off Retain Clearance”, the wave-off operation system with military power and vertical elevator is established as evaluation medium. The “Wave-Off Risk State Area” established by limited wave-off envelope can reduce network training burden, and the quantitative “Ramp-Strike Risk” function with flight state is presented through BP neural network finally. Simulation results show that the risk with flight states can be predicted by using new estimation method, moreover auxiliary rectification and early-warning for landing is provided.