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17篇 您的检索式:作者名="Wanggen"
    题名 作者 年代 出处 被引量
1Efficient genetic transformation and CRISPR/Cas9-mediated genome editing of watermelon assisted by genes encoding developmental regulators显示文摘Cucurbitaceae is an important family of flowering plants containing multiple species of important food plants,such as melons,cucumbers,squashes,and pumpkins.However,a highly efficient genetic transformation system has not been established for most of these species(Nanasato and Tabei,2020).Watermelon(Citrullus lanatus),an economically important and globally cultivated fruit crop,is a model species for fruit quality research due to its rich diversity of fruit size,shape,flavor,aroma,texture.Wenbo PAN Zhentao CHENG Zhiguo HAN Hong YANG Wanggen ZHANG Huawei ZHANG 2022Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)2022,23,4:4
2Design of DDR2 SDRAM Controller for Video Post Processing Pipeline显示文摘Xuzhi WANG Yanru MA Wanggen WAN 2009Wireless Mobile and Computing2009,,:1
3显示文摘WANGGen(王亘) WANGZong-Shuang(王宗爽) WANGYuan-Gang(王元刚) etal 2012环境科学与技术2012,35,12:1
4Robust audio hashing based on discrete-wavelet-transform and non-negative matrix factorization 显示文摘Chen Ning Wan Wanggen 2010Communications IET2010,4,14:1
5Annealed particle filter based on particle swarm optimization for articulated three-dimensional human motion tracking显示文摘Xiangyang Wang Wanggen Wan Xiaoqin Zhang 0,,01:1
6Robust speech hash function显示文摘Chen Ning Wan Wanggen 2010ETRI Journal2010,2,32:1
7Isolation of an efficient actin prom oter for use in rice transtormation显示文摘MCELROY K ZHANG WANGGEN GAO JUN 1990The Plant Cekk1990,2,:1
8An efficient and high-throughput protocol for Agrobacterium -mediated transformation based on phosphomannose isomerase positive selection in Japonica rice ( Oryza sativa L.)显示文摘Yongbo Duan Chenguang Zhai Hao Li Juan Li Wenqian Mei Huaping Gui Dahu Ni Fengshun Song Li Li Wanggen Zhang Jianbo Yang 2012Plant Cell Reports2012,,9:1
9A dynamical loading of large scale 3D city based on OSG显示文摘Zhang Ximin Wan Wanggen 0,,7:1
10Application of Cochlear Model in Speech Analysis/Synthesis Using Sinusoidal Representation显示文摘A sinusoidal representation of speech and a cochlear model are used to extract speech parameters in this paper, and a speech analysis/synthesis system controlled by the auditory spectrum is developed with the model. The computer simulation shows that speech can be synthesized with only 12 parameters per frame on the average. The method has the advantages of few parameters, low complexity and high performance of speech representation. The synthetic speech has high intelligibility.Yuan Jingxian Wan Wanggen Yu Xiaoqing (School of Communication & Information Engineering, Shanghai University) 1999Advances in Manufacturing1999,,1:1
11Picosecond dissipative soliton generation from an ytterbium‑doped fber laser based on a BP/SnSe_(2)‑PVA mixture saturable absorber显示文摘Stable picosecond dissipative soliton pulses were observed in an ytterbium-doped fber laser employing a high-quality mixture of BP/SnSe_(2)-PVA saturable absorber(SA).The modulation depth,saturation intensity,and non-saturable loss of the mixture of BP/SnSe_(2)-PVA SA were measured with values of 5.98%,18.37 MW/cm2,and 33%,respectively.Within the pump power range of 150–270 mW,stable dissipative soliton pulses were obtained with an output power of 1.68–4 mW.When the minimum pulse duration is 1.28 ps,a repetition rate of 0.903 MHz,center wavelength of 1064.38 nm and 3 dB bandwidth of 2 nm were obtained.The maximum pulse energy of 4.43 nJ and the signal-to-noise ratio up to 72 dB were achieved at pump power of 270 mW.The results suggest that the BP/SnSe_(2)-PVA mixture SA has outstanding nonlinear saturable absorption characteristics and broad ultrafast laser applications.Yuting Ouyang Jiayu Zhang Wanggen Sun Mengxiao Li Tao Chen Haikun Zhang Wenjing Tang Wei Xia 2023Frontiers of Optoelectronics2023,16,3:0
12CurveNet:Curvature-Based Multitask Learning Deep Networks for 3D Object Recognition显示文摘In computer vision fields,3D object recognition is one of the most important tasks for many real-world applications.Three-dimensional convolutional neural networks(CNNs)have demonstrated their advantages in 3D object recognition.In this paper,we propose to use the principal curvature directions of 3D objects(using a CAD model)to represent the geometric features as inputs for the 3D CNN.Our framework,namely CurveNet,learns perceptually relevant salient features and predicts object class labels.Curvature directions incorporate complex surface information of a 3D object,which helps our framework to produce more precise and discriminative features for object recognition.Multitask learning is inspired by sharing features between two related tasks,where we consider pose classification as an auxiliary task to enable our CurveNet to better generalize object label classification.Experimental results show that our proposed framework using curvature vectors performs better than voxels as an input for 3D object classification.We further improved the performance of CurveNet by combining two networks with both curvature direction and voxels of a 3D object as the inputs.A Cross-Stitch module was adopted to learn effective shared features across multiple representations.We evaluated our methods using three publicly available datasets and achieved competitive performance in the 3D object recognition task.A.A.M.Muzahid Wanggen Wan Ferdous Sohel Lianyao Wu Li Hou 2021IEEE/CAA Journal of Automatica Sinica2021,8,6:0
13A Cascade Approach to the Design of IIR Bandpass Filter显示文摘1IntroductionIRbandpassfiltershavemanyadvantagesovertheirFIRcounterparts.Theyrequirefewercoeficientsandhaveasimplerstructure....Wan Wanggen Yu Xiaoqing Yuan Jingxian Li Yonghua (School of Communication and Information Engineering) 1998Advances in Manufacturing1998,,3:0
14An Integration Testing Framework and Evaluation Metric for Vulnerability Mining Methods显示文摘Software vulnerability mining is an important way to detect whether there are some loopholes existing in the software, and also is an important way to ensure the security of information systems. With the rapid development of information technology and software industry, most of the software has not been rigorously tested before being put in use, so that the hidden vulnerabilities in software will be exploited by the attackers. Therefore, it is of great significance for us to actively detect the software vulnerabilities in the security maintenance of information systems. In this paper, we firstly studied some of the commonly used vulnerability detection methods and detection tools, and analyzed the advantages and disadvantages of each method in different scenarios. Secondly, we designed a set of evaluation criteria for different mining methods in the loopholes evaluation. Thirdly, we also proposed and designed an integration testing framework, on which we can test the typical static analysis methods and dynamic mining methods as well as make the comparison, so that we can obtain an intuitive comparative analysis for the experimental results. Finally, we reported the experimental analysis to verify the feasibility and effectiveness of the proposed evaluation method and the testingframework, with the results showing that the final test results will serve as a form of guidance to aid the selection of the most appropriate and effective method or tools in vulnerability detection activity.Jin Li Jinfu Chen Minhuan Huang Minmin Zhou Wanggen Xie Zhifeng Zeng Shujie Chen Zufa Zhang 2018China Communications2018,15,2:0
15Vulnerability of Regional Aviation Networks Based on DBSCAN and Complex Networks显示文摘To enhance the accuracy of performance analysis of regional airline network,this study applies complex network theory and Density-Based Spatial Clustering of Applications with Noise(DBSCAN)algorithm to investigate the topology of regional airline network,constructs node importance index system,and clusters 161 airport nodes of regional airline network.Besides,entropy power method and approximating ideal solution method(TOPSIS)is applied to comprehensively evaluate the importance of airport nodes and complete the classification of nodes and identification of key points;adopt network efficiency,maximum connectivity subgraph and network connectivity as vulnerability measurement indexes,and observe the changes of vulnerability indexes of key nodes under deliberate attacks and 137 nodes under random attacks.The results demonstrate that the decreasing trend of the maximum connectivity subgraph indicator is slower and the decreasing trend of the network efficiency and connectivity indicators is faster when the critical nodes of the regional airline network are deliberately attacked.Besides,the decreasing trend of the network efficiency indicator is faster and the decreasing trend of the maximum connectivity subgraph indicator is slower when the nodes of four different categories are randomly attacked.Finally,it is proposed to identify and focus on protecting critical nodes in order to better improve the security level of regional airline system.Hang He Wanggen Liu Zhenhan Zhao Shan Heand Jinghui Zhang 2022Computer Systems Science & Engineering2022,43,11:0
16A perceptual quality metric for 3D triangle meshes based on spatial pooling显示文摘Xiang FENG Wanggen WAN Richard Yi Da XU Haoyu CHEN Pengfei LI J. Alfredo SANCHEZ 2018Frontiers of Computer Science2018,12,4:0
17A Vulnerability Model Construction Method Based on Chemical Abstract Machine显示文摘形式化危险的原因是困难的,并且没有有效模型揭示危险的原因和特征。在这份报纸,一个危险模型构造方法被建议认识到对危险属性的描述和一个危险模型的构造。一个危险模型基于化学抽象机器(可汗) 被构造认识到对危险模型的可汗描述,和危险的框架当模特儿也被讨论。案例研究被执行验证建议模型的可行性和有效性。另外,一个原型系统也基于建议危险模型被设计并且实现。试验性的结果证明建议模型是比在软件危险的察觉的另外的方法更有效的。LI Xiang CHEN Jinfu LIN Zhechao ZHANG Lin WANG Zibin ZHOU Minmin XIE Wanggen 2018Wuhan University Journal of Natural Sciences2018,23,2:0
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