覃征
软件体系结构;信息处理与信息融合;移动电子商务;软件项目管理等。
个性化签名
- 姓名:覃征
- 目前身份:
- 担任导师情况:
- 学位:
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学术头衔:
博士生导师
- 职称:-
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学科领域:
计算机软件
- 研究兴趣:软件体系结构;信息处理与信息融合;移动电子商务;软件项目管理等。
覃征,教授,博导,软件工程与管理研究所所长
学术兼职:
教育部大学本科评估专家组专家2004—2007
清华大学大学评估顾问专家组专家2006—2007
教育部电子商务教职委委员2006
教育部科技奖励评审专家组专家1998—
教育部国家精品课双语课评审专家 2005—
科技部专家科技部科技奖励专家组通信评审专家 2000—
科技部资源环境领域专家组专家 2005—
科技部科技澳运专项专家组专家 2004—
科技部省级信息平台专项专家专家 2007—
国家自然基金委国家基金委评审信息学部通信评审专家 2003—2007
国家基金委管理学部重大项目通信评审专家 2006—
社会兼职:
国家973项目. “现代大型设计软件共性基础”.
国家863项目. “MES为基础的数字油田PetroDW研发及应用”.
国家自然科学基金项目.“强势粒子群算法在医学图像弹性配准中的应用研究”.
国家自然科学基金项目.“柔性软件体系结构形式化描述方法研究”.
国家教育部博士点基金项目.“电子商务架构学研究”.
国家教育部博士点基金项目.“三维模型索引研究”.
国防十一五预研项目.“海量目标模拟器与地面集群目标跟踪系统的研究”.
国防预研项目等7项(略).
研究领域:
软件体系结构;信息处理与信息融合;移动电子商务;软件项目管理等。
奖励与荣誉:
城区供配电设计管理计算机智能决策支持系统,国家教育部科技进步一等奖,第一完成人,1998年1月。
计算机智能决策支持系统及信息处理技术的研究,教育部提名国家科技进步二等奖,第一完成人,1999年1月。
移动嵌入式电子商务系统支撑平台,教育部提名国家科技进步二等奖,第一完成人,2004年2月。
复杂信息环境下智能决策融合技术研究,教育部提名国家科技进步二等奖,第一完成人,2005年2月。
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主页访问
2058
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关注数
1
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成果阅读
767
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成果数
16
【期刊论文】A Decentralized Tuple Space Model with Policy Management for Collaboration¤
覃征, XING Jiankuan, QIN Zheng and ZHENG Xiang
Chinese Journal of Electronics Vol.19, No.2, Apr. 2010,-0001,():
-1年11月30日
Decentralized tuple space is an ecrective paradigm for distributed collaborative applications since its loose decoupling, availability and °exibility in system's organization. However, there are very few research results on its replication and consistency. This paper presents a decentralized tuple space model to enable tuple update by creating loose update links among decentralized Tuple space nodes. Besides, tuples are grouped with tuple types, the unit of being applied a replication policy, which con-trols the distribution of replicas. The model is simulated by Desmo-J. The experiments show that applying dicrer-entiate replication policies used for dicrerent purposes is absolutely necessary, because no single policy is suitable under all use patterns.
Decentralized tuple space,, Tuple distri-bution,, Replication policy.,
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47浏览
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446下载
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引用
【期刊论文】A framework of region-based dynamic image fusion*
覃征, WANG Zhong-hua†, QIN Zheng, LIU Yu
J Zhejiang Univ Sci A 2007 8 (1): 56-62,-0001,():
-1年11月30日
A new framework of region-based dynamic image fusion is proposed. First, the technique of target detection is applied to dynamic images (image sequences) to segment images into different targets and background regions. Then different fusion rules are employed in different regions so that the target information is preserved as much as possible. In addition, steerable non-separable wavelet frame transform is used in the process of multi-resolution analysis, so the system achieves favorable characters of orientation and invariant shift. Compared with other image fusion methods, experimental results showed that the proposed method has better capabilities of target recognition and preserves clear background information.
Dynamic image fusion,, Region segmentation,, Non-separable wavelet frame
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36浏览
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97下载
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引用
覃征, 王中华 , , 韩毅
系统仿真学报,2007,19(19):4477~4481,4486,-0001,():
-1年11月30日
针对存在配准偏差的双平台无源融合跟踪系统,提出了基于扩维Unscented 卡尔曼滤波的配准跟踪一体化方法,在跟踪算法中,采用模糊调度方法调节“当前”统计模型参数,引入渐消因子,能够在状态发生突变时,迅速调整系统参数,提高了系统的抗机动目标自适应能力。仿真结果表明,这种跟踪算法能够较好地解决双平台无源融合跟踪系统中的配准偏差问题。
纯角度跟踪, 无源融合, Unscented 卡尔曼滤波器, 配准
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58浏览
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11分享
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72下载
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引用
【期刊论文】MADE: A Composite Visual-Based 3D Shape Descriptor
覃征, Biao Leng, Liqun Li, and Zheng Qin
LNCS 4418, pp. 93-104, 2007.,-0001,():
-1年11月30日
Due to the widely application of 3D models, the techniques of content-based 3D shape retrieval become necessary. In this paper, a modified Principal Component Analysis (PCA) method for model normalization is introduced at first, and each model is projected in 6 different viewpoints. Secondly, a new adjacent angle distance Fouriers (AADF) descriptor is presented, which captures more precise contour feature of black-white images. Finally, based on modified PCA method, a novel composite 3D shape descriptor MADE is proposed by concatenating AADF, Tchebichef and D-buffer descriptors. Experimental results on the criterion of 3D model database PSB show that the proposed descriptor MADE has gained the best retrieval effectiveness compared with three single descriptors and two composite descriptors LFD and DESIRE.
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111下载
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引用
【期刊论文】Support Vector Machine active learning for 3D model retrieval*
覃征, LENG Biao†, QIN Zheng, , LI Li-qun
J Zhejiang Univ Sci A 2007 8(12): 1953-1961,-0001,():
-1年11月30日
In this paper, we present a novel Support Vector Machine active learning algorithm for effective 3D model retrieval using the concept of relevance feedback. The proposed method learns from the most informative objects which are marked by the user, and then creates a boundary separating the relevant models from irrelevant ones. What it needs is only a small number of 3D models labelled by the user. It can grasp the user’s semantic knowledge rapidly and accurately. Experimental results showed that the proposed algorithm significantly improves the retrieval effectiveness. Compared with four state-of-the-art query refinement schemes for 3D model retrieval, it provides superior retrieval performance after no more than two rounds of relevance feedback.
3D model retrie, v, a, l, ,, Shape des, c, r, i, p, t, or,, Relevance feedback,, Support Vector Machine (, SVM), ,, Active learning
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34浏览
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123下载
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引用
【期刊论文】Automatic Combination of Feature Descriptors for Effective 3D Shape Retrieval
覃征, Biao Leng and Zheng Qin
LNCS 4418, pp. 36-46, 2007.,-0001,():
-1年11月30日
We focus on improving the effectiveness of content-based 3D shape retrieval. Motivated by retrieval performance of several ndividual 3D model feature vectors, we propose a novel method, called prior knowledge based automatic weighted combination, to improve the retrieval effectiveness. The method dynamically determines the weighting scheme for different feature vectors based on the prior knowledge. The experimental results show that the proposed method provides significant improvements on retrieval effectiveness of 3D shape search with several measures on a standard 3D database. Compared with two existing combination methods, the prior knowledge weighted combination technique has gained better retrieval effectiveness.
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42浏览
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51下载
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【期刊论文】MATE: A Visual Based 3D Shape Descriptor*
覃征, LENG Biao, QIN Zheng, , CAO Xiaoman, WEI Tao and ZHANG Zhuxi
Chinese Journal of Electronics Vol.18, No.2, Apr. 2009,-0001,():
-1年11月30日
Since 3D models have been widely applied in many research areas, the techniques for content-based 3D model retrieval become necessary. In this paper, a novel visual based 3D shape descriptor called MATE is proposed. A modi-ed Principal component analysis (PCA) method for model normalization is presented at-rst. Sec-ondly, a new Adjacent angle distance Fourier (AADF) al-gorithm is proposed. Then the original two-viewed Dbucrer method is presented to extract characteristics of projected images. Finally, based on the modi-ed PCA method, the shape descriptor MATE is proposed by combining AADF, Tchebichef and two-viewed Dbu®er. Experimental results show that the descriptor MATE provides better retrieval performance than the best current descriptors.
3D model retrie, v, a, l, ,, Shape des, c, r, i, p, t, or,, Visual similarity.,
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53浏览
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91下载
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引用
覃征, 冷彪
清华大学学报(自然科学版),2008,48(4):586~588,-0001,():
-1年11月30日
基于内容的三维模型检索被广泛运用于许多研究领域。为了弥补特征提取算法描述模型特征的不足,提高三维模型的检索效果,该文提出了一种基于先验知识的三维模型特征向量动态选择算法。该算法利用查询模型计算各种特征向量的先验知识,然后动态地选择描述能力较强的特征向量计算模型之间的相似度距离。实验采用标准的模型库Princeton shape benchmark (PSB)和多种公认的评价方法,结果显示该算法提高了三维模型的检索效果,优于现有的2种流行的三维模型特征选择算法。
三维模型检索, 特征向量, 先验知识
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95浏览
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引用
覃征, Xing-Chen Heng and Zheng Qin
LNCS 3645, pp. 209-217, 2005.,-0001,():
-1年11月30日
This paper proposes a general formalism for evaluating hybrid Bayesian networks. The formalism approximates a hybrid Bayesian network into the form, called fuzzy partial least-squares Bayesian network (FPBN). The form replaces each continuous variable whose descendants include discrete variables by a partner discrete variable and adding a directed link from that partner discrete variable to the continuous one. The partner discrete variable is acquired by the discretization of the original continuous variable with a fuzzification algorithm based on the structure adaptive-tuning neural network model. In addition, the dependence between the partner discrete variable and the original continuous variable is approximated by fuzzy sets, and the dependence between a continuous variable and its continuous and discrete parents is approximated by a conditional Gaussian regression (CGR) distribution in which partial least-squares (PLS) is proposed as an alternative method for computing the vector of regression parameter. The experimental results are included to demonstrate the performances of the new approach.
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【期刊论文】FTT Algorithm of Web Pageviews for Personalized Recommendation
覃征, Shen Yunfei, Qin Zheng, Yuan Kun, and Luo Xiaowei
LNCS 4185, pp. 133-139, 2006.,-0001,():
-1年11月30日
As the need for personalized services sharply increases caused by the booming of Internet, Web-based data-mining is becoming a valuable sources of thoughts and theory to satisfy the personalized system function. The characters of personalized data-mining is reviewed and discussed in the beginning, and then an innovative algorithm (FP-Tree time-validity algorithm) of Web pageviews, based on personalization, is raised. More authentic information can be efficiently got by adding time-validity coefficient to FTT-Tree storage structure to implement increment mining.
Data mining,, Web mining,, Personalization,, Association rule,, Time, v, a, l, idity.,
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