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2003-2022 全部
为您找到包含“National Natural Science Foundation of China”的内容共1433

Lu Yinfeng,Zhang Xiaohong

As a generalization of BCI-algebras with condition (S) and pseudo-BCK algebras with condition (pP), the notion of pseudo-BCI algebras with condition (pP) is introduced. An example of pseudo-BCI algebras with condition (pP) is given, the result that every anti-grouped pseudo-BCI algebras is with condition (pP) is proved. Some properties of pseudo-BCI algebras with condition (pP) are investigated and the branch properties of pseudo-BCI algebras with condition (pP) are discussed.

2010-10-09

Ningbo National Natural Science Foundation of China(Grant No. 2009A610078

National Natural Science Foundation of China (Grant No. 60775038

Faculty of Sciences, Ningbo University,Faculty of Sciences, Ningbo University

#Mathematics#

0评论(0 分享(0)

LI Lei,YU Jia

In recent years, the multi-document summary technology has gotten more and more attention in the field of natural language processing. However, the relationship between the topics and the level information are rarely considered, and sentence scoring is also a very important and difficult task in the multi-document summary process. The results of hLDA (hierarchical Latent Dirichlet Allocation) in the hierarchical topic modeling have been widely validated. Therefore this paper focused on the nodes in the hLDA model, researched the hLDA and semantic based sentence scoring method and presented seven algorithms to provide a strong basis for the multi-document summary.

2013-10-29

National Natural Science Foundation of China (No.61202247

National Natural Science Foundation of China (No.71231002

School of Computer Science, Beijing University of Posts and Telecommunications, 100876,School of Computer Science, Beijing University of Posts and Telecommunications, 100876

#Computer Science and Technology#

0评论(0 分享(0)

LI Zhi-Yong,LIN Ke

Maintaining a good balance between convergence and diversity is particularly crucial to the performance of the evolutionary algorithms (EAs). However, traditional multi-objective evolutionary algorithms, which have demonstrated their competitive performance in a variety of practical problems involving two or three objectives, face significant challenges in many-objective optimization problems (MaOPs). This paper proposes a dynamic convergence-diversity guided evolutionary algorithm (DCDG-EA) for MaOPs by employing decomposition technique. The objective space of MaOPs is divided into $K$ subspaces by a set of uniformly distributed reference vectors. Each subspace has its own subpopulation and evolves in parallel with the other subspaces. In DCDG-EA, the balance between convergence and diversity is achieved through convergence-diversity based operator selection (CDOS) strategy and convergence-diversity based individual selection (CDIS) strategy. In CDOS, each operator in a set of operators is assigned a selection probability which is related to its convergence and diversity reward. On the basis of selection probability, an appropriate operator is selected to generate offspring. Furthermore, CDIS greatly overcomes the inefficiency of Pareto dominance. It updates each subpopulation by using two independent distance measures that respectively represent convergence and control diversity. The experimental results on DTLZ benchmark problems with up to 15 objectives show that our algorithm is highly competitive in comparison with the selected four state-of-the-art evolutionary algorithms in terms of convergence and diversity.

2018-04-16

The National Natural Science Foundation of China (No.61672215

The National Natural Science Foundation of China (U1613209

College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082,College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082

#Computer Science and Technology#

0评论(0 分享(0)

LI Zhi-Yong,Chen Li

Correlation filter (CF) based trackers have become quite popular in video tracking because of their impressive performance and high frame rates. A large amount of recent research focuses on the improvement of training model of correlation filter to get a tracker with better discriminative power. However, this only helps the tracker to discriminate the target object from background within a small neighborhood, which is not suitable for fast motion scenes. In this paper, we propose a new detection model to dig out the potential of the correlation filter to deal with the challenge of fast motion. The model performs detection operations on multiple small search areas within a large one. Thus, our tracker can accurately localize the target object in a larger search area. In addition, we also added space constraints to boost the tracking performance of the model. The extensive experimental results demonstrate that the proposed tracker outperforms several state-of-the-art trackers on the challenging benchmark dataset with 51 sequences.

2018-05-02

The National Natural Science Foundation of China (61672215

The National Natural Science Foundation of China (U1613209

College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082,College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082

#Information Science and System Science#

0评论(0 分享(0)

ZENG Fan-Zi,LI Qiao,LI Qiao

We investigate the problem of cross-tier interference control in full-duplex (FD) Orthogonal Frequency Division Multiple Access (OFDMA) based heterogeneous networks (HetNets) consisting of macrocell and underlaying femtocells. A price mechanism is introduced where the macro base station (MBS) and femtocell base stations (FBSs) all aim to maximize their own utility function considering finite interference constraint. We propose a triple optimization strategy of power control, subcarrier allocation and price regulation which can solve the cross-tier interference optimization problem of femtocell to macrocell. We analyze the superiority of the barrier method for the utility function of the macrocell, and to a certain extent, it has a better convergence. Through the experiment, we can see that the proposed the triple resource allocation algorithm can effectively suppress cross-tier interference and maximize the utility of macrocell and femtocells.

2018-05-03

The National Natural Science Foundation of China (No.61672215

The National Natural Science Foundation of China (U1613209

College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082,College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082,College of Computer Science and Electronic Engineering of Hunan University, and Key Laboratory for Embedded and Network Computing of Hunan Province, Changsha 410082

#Electrics, Communication and Autocontrol Technology#

0评论(0 分享(0)

DONG Xiaoxu,YANG Gaobo

Aiming at the problem that some tampered images have obvious brightness changes and the single texture insufficient extraction point, this paper proposes an efficient copy-move tamper detection algorithm based on equalization preprocessing and KAZE features. Firstly, equalization preprocessing is used to enhance the local contrast of the image and extract the feature information in detail. Next, KAZE based on non-linear spatial filtering is used to remove noise while retaining the edge details, which has a good effect on the problem of insufficient amount of feature points. Finally, a series of operations such as preliminary matching, feature points clustering, stereo matching and morphological processing are performed to accurately locate the tampered area. The experimental results show that the algorithm can not only precisely locate multiple tampered areas of the image, but also improve the detection speed. At the same time, the robustness of the algorithm to different types of post-processing such as JPEG compression, blurring, brightness change, color distortion and so on is verified.

2019-04-25

National Natural Science Foundation of China (61572183

National Natural Science Foundation of China (61379143

School of Information Science and Engineering, Hunan University, Changsha 410082,School of Information Science and Engineering, Hunan University, Changsha 410082

#Electrics, Communication and Autocontrol Technology#

0评论(0 分享(0)

Ba Te,Zhou Ze

We prove that the polyhedral surface with finite boundary components is determined up to isometry(or scaling) by some types of discrete curvatures, which generalizes a classical result of Luo Feng. The basic idea is to apply the doubling surgery. In this way, the rigidity of surface with boundary is a corollary of the rigidity of closed surface.

2021-04-15

National Natural Science Foundation of China (11631010

National Natural Science Foundation of China (11601141

School of Mathematics, Hunan University, Changsha 410082,School of Mathematics, Hunan University, Changsha 410082

#Mathematics#

0评论(0 分享(0)

JUO Jia-Wei,LIU Yi,LIU Pei,LAI Zi-Han,WU Hao

Dysfunction of miRNAs has an important relationship with diseases by impacting their target genes. Identifying disease-related miRNAs is of great significance to prevent and treat diseases. Integrating information of genes related miRNAs and/or diseases in calculational methods for miRNA-disease association studies is meaningful because of the complexity of biological mechanisms. Therefore, it is helpful to integrate multi-type data for identifying pathogenic miRNAs. In this paper, a novel data fusion method based on tensor decomposition is proposed, termed TDMDA, for the prediction of potential miRNA-disease associations. First, a three-order association tensor was constructed to express the associations of miRNA-disease pairs, the associations of miRNA-gene pairs, and the associations of gene-disease pairs simultaneously. Then, a method based on tensor decomposition is applied to fuse multiple data and reconstruct the association tensor for predicting miRNA-disease associations. The fused data includes biological similarity information and adjacency information. The performance of TDMDA is compared with other advanced methods under 5-fold cross-validations. The experimental results indicate the TDMDA is a competitive method.

2021-05-24

National Natural Science Foundation of China (61873089

National Natural Science Foundation of China (62032007

College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082

#Computer Science and Technology#

0评论(0 分享(0)

Zhang En,Wang,Shang,Jiao,Wei-Wei,Xu,Jin-Mei,Liu,Hong-Min

A series of dithiocarbamate-3-epi-Jaspine B hybrids were designed and synthesized from D-xylose. Lipophilic long alkyl dithiocarbamate was introduced to C4 position of 3-epi-jaspine B in the new molecules. Their anticancer activity against two selected tumor cell lines (MGC-803 and B16-F10) were evaluated. Most synthesized compounds exhibited moderate activity against MGC-803 and B16-F10. Among them, compound 16d showed best inhibition against MGC-803 (IC50 = 16.39 μM). Compound 16f exhibited best inhibition against B16-F10 (IC50 = 14.83 μM). This is the first report about the synthesis and in vitro cytotoxic evaluation of dithiocarbamate -3-epi-jaspine B hybrids.

2015-04-24

National Natural Science Foundation of China (U1204206

School of Pharmaceutical Sciences and New Drug Research & Development Center, Zhengzhou University,School of Pharmaceutical Sciences and New Drug Research & Development Center, Zhengzhou University,School of Pharmaceutical Sciences and New Drug Research & Development Center, Zhengzhou University,School of Pharmaceutical Sciences and New Drug Research & Development Center, Zhengzhou University,School of Pharmaceutical Sciences and New Drug Research & Development Center, Zhengzhou University

#Pharmacy#

0评论(0 分享(0)

Cuiping Wang,Yelu Xu,Shuiyuan Yang,Hengxing Jiang,Jian Li,Jiahua Zhu,Shuang Yang,Xingjun Liu

The phase equilibria of the Sn-Zn-Sb ternary system at 400 oС and 500 C were experimentally determined by electron probe microanalyzer (EPMA), X-ray diffraction (XRD) and differential scanning calorimetry (DSC). In this study, the ternary compound of (Zn,Sn)Sb is confirmed at 400 C and 500 C. Additionally, a liquid phase region is found at 400 C with composition ranges of 9.09 ~ 12.86 at.% Zn and 31.47 ~ 34.22 at.% Sn, which becomes a prolongation of the main liquid as the temperature is raised to 500 C.

2015-05-04

National Natural Science Foundation of China (Nos. 51031003 and 51171159) and the Ministry of Education of China

Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China,Department of Materials Science and Engineering, College of Materials, Xiamen University, Xiamen 361005, P.R. China

#Materials Science#

0评论(0 分享(0)