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2003-2020 全部
为您找到包含“National Natural Science Foundation of China”的内容共1380

ZHAO Yang,LIU Xiangdong

Two commercially available amines, octanediamine (ODM) and m-xylylenediamine (MXDM), were chosen to tough polybenzoxazine resin due to their controllable capability to cause phase separation during the copolymerization with benzoxazine monomers. The toughing behavior and phase separation of the cured resins were investigated using tensile tests and analyses of DMA, SEM, and TGA-GC/MS. The resulting networks showed remarkable toughness without obvious degradation in thermo-mechanical performance. Especially, when ODM/MXDM molar ratio was 1:1, an elongation rate of 10.55% and a breaking strength of 82.67 Mpa, which are 86% and 128% higher than that of the neat benzoxazine resin, respectively, were achieved. These findings open a new way to improve toughness of brittle polybenzoxazine resins.

2017-11-16

National Natural Science Foundation of China (51573167)

National Natural Science Foundation of China (51573167)

National Natural Science Foundation of China (51573167)

National Natural Science Foundation of China (51573167

National Natural Science Foundation of China (51573167

Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Ministry of Education, College of Materials and Textile, Zhejiang Sci-Tech University, Hangzhou 310018,Key Laboratory of Advanced Textile Materials and Manufacturing Technology, Ministry of Education, College of Materials and Textile, Zhejiang Sci-Tech University, Hangzhou 310018

#Materials Science#

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)

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)

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)

NIE Ruinan,LUO Jiawei,NIE Ruinan,LUO Jiawei,NGUYEN Hoangtu, LUO Jiawei, LUO Jiawei, NGUYEN Hoangtu

At co-regulatory level, transcription factors (TFs) and microRNAs (miRNAs) co-regulate the gene expression, and the co-regulatory functional module (CRM) combined by these three components can serve as building blocks of co-regulatory network which could cooperatively participate in post-transcriptional level. Identification of CRMs can help comprehend regulatory mechanism of complex diseases and reveal pathogenesis. However, recent researches about detecting regulatory modules involving a single kind of regulators might not completely bring to light complex regulatory mechanism. In this paper, we propose a novel computational framework called APNICRM which detects CRMs by affinity propagation (AP) and neighborhood inflation (NI). APNICRM firstly utilizes regularized least squares to construct a co-regulatory network from multiple sources of data: miRNA/TF/mRNA expression profiles and priori regulatory relationships (miRNA-mRNA/TF-miRNA/TF-mRNA). Then, in order to produce meaningful seeds for neighborhood inflation, affinity propagation clustering and modified neighborhood similarity will be adopted. To further infer CRMs, we develop new greedily expanding strategies that optimize internal clustering fitness fuction. In addition, for improving the speed of operation, multi-threaded approach is executed for paralleling. Results on the Ovarian Cancer (OV) dataset and Breast Cancer (BRCA) have shown that our proposed method is able to produce compact and meaningful functional modules that are highly relevant to the biological conditions. Comparing with existing methods, CRMs of APNICRM include more significant biological function GO-BP terms and KEGG pathways with high enrichment scores. In addition, topological characteristics analysis and case studies verify the effectiveness.

2019-04-15

National Natural Science Foundation of China (61572180

National Natural Science Foundation of China ( 61873089

College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082; Collaboration and Innovation Center for Digital Chinese Medicine in Hunan Province, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082; Collaboration and Innovation Center for Digital Chinese Medicine in Hunan Province, Hunan University, Changsha 410082, Collaboration and Innovation Center for Digital Chinese Medicine in Hunan Province, Hunan University, Changsha 410082,College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082; Collaboration and Innovation Center for Digital Chinese Medicine in Hunan Province, Hunan University, Changsha 410082,Faculty of Information and Technology, Hanoi University of Industry, Hanoi, 100803, College of Computer Science and Electronic Engineering, Hunan University, Changsha 410082 , Collaboration and Innovation Center for Digital Chinese Medicine in Hunan Province, Hunan University,

#Computer Science and 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)

Deng Wei,Wang Xuejian,Pan Xiaodong,Zhang Shixu,Ding Jingjie,Li Gongping

Radioisotope thermoelectric generator (RTG), a technology that mostly adopted in space missions, is regarded as a promising technology to power the Internet of Things-based (IoT) sensors, especially those in extreme environments, for its merits of stability, maintenance-free and long-life. This paper studied RTG\'s application on earth and fabricated an endurable watt-power Bi2Te3-based terrestrial RTG. By employing the finite element analysis, an octagonal cylinder-shaped substituted electric heater was designed to have a higher surface temperature and better temperature uniformity while the fin-shaped radiators to dissipate heat at their optimal heat-sinking capacity. In the experiment part, this terrestrial RTG was tested to have an output power of 4.64 W and an open-circuit voltage of 27.2 V. Also, an optimal electric connection instruction between each thermoelectric (TE) converter was proposed from the experiment. Whereafter, based on the structure used in the experiment part, the finite element analysis was carried out to optimize the geometry of TE converters, the terrestrial RTG possessed an enhanced output power of 10.5 W with an open-circuit voltage of 57.8 V. Ultimately, this paper proposed important guidance for the design and optimization of an endurable terrestrial RTG, which could provide some prospects for its application on IoT-based sensors.

2020-02-07

National Natural Science Foundation of China (11604129

National Natural Science Foundation of China ( 11905089

Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China,Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China,Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China,Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China,Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China,Institute of Nuclear Energy and Nuclear Technology, School of Nuclear Science and Technology, Lanzhou University, Lanzhou, 730000, China

#Energy Science and Technology#

0评论(0 分享(0)

Jiayu Gu,Bingyong Mao,Shumao Cui,Jianxin Zhao,Hao Zhang,Wei Chen

Fructooligosaccharides (FOS) are a well-known class of prebiotic and are considered to selectively stimulate the growth of bifidobacteria in the gut. Previous studies focused on the stimulated growth of Bifidobacterium, but did not further investigate the bifidobacterial composition, i.e. the specific species that was were stimulated. In this study mice were fed with FOS in different doses (0%, 5%, and 25%) for 4 weeks and the composition of fecal microbiota, in particular Bifidobacterium, was analyzed by sequencing the V3-V4 region and the groEL gene on the MiSeq platform, respectively. In the high-dose group (25% FOS) the relative abundance of Actinobacteria was significantly increased, which was mainly contributed by Bifidobacterium. At the genus level the relative abundances of Blautia and Coprococcus were also significantly increased. Through the groEL sequencing 14 species of Bifidobacterium were identified, among which Bifidobacterium pseudolongum (B. pseudolongum) was most abundant. After FOS treatment, B. pseudolongum became almost the sole bifidobacterial species (>95%). We isolated the B. pseudolongum strains and, by high performance liquid chromatography (HPLC), demonstrated their ability to metabolize FOS. Therefore, we concluded that FOS significantly stimulated the growth of B. pseudolongum in mice. Further investigations are needed to reveal the mechanism of selectiveness between FOS and B. pseudolongum, which would aid our understanding of the basic principles of dietary carbohydrates and host health.

2018-03-15

The Youth Program of National Natural Science Foundation of China (No.31601453

The Key Program of National Natural Science Foundation of China (No.31530056

The General Program of National Natural Science Foundation of China (No.31471721)

The Youth Program of National Natural Science Foundation of China (31601453

The Key Program of National Natural Science Foundation of China (31530056

The General Program of National Natural Science Foundation of China (31471721

School of Food Science and Technology, Jiangan University, Wuxi 214122,School of Food Science and Technology, Jiangan University, Wuxi 214122,School of Food Science and Technology, Jiangan University, Wuxi 214122,School of Food Science and Technology, Jiangan University, Wuxi 214122,School of Food Science and Technology, Jiangan University, Wuxi 214122,School of Food Science and Technology, Jiangan University, Wuxi 214122

#Food Science and Technology#

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