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Supervised learning of enhancing convolutional Hash for image retrieval

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The Journal of China Universities of Posts and Telecommunications 2019年第4期26卷 51-61页

作者： Zhai Qi jiang mingyan School of Information Science and Engineering Shandong University

Deep convolutional neural network(CNN)makes great breakthroughs in computer ***,many works have demonstrated that the performance of the CNN depends on the stacked convolutional *** is obvious that the features of the fully connected layers lose the topological structures of images,and the convolutional layer features contain a large amount of redundant information that interferes with the performance of ***,we propose an effective supervised deep Hashing method,enhancing convolutional deep Hashing(ECDH),which learns the binary codes from the strengthened convolutional ***,an enhanced convolutional Hash layer is constructed between the top convolutional layer and the output layer,enhancing the local features of the convolutional layer outputs while learning the binary codes by optimizing an objective *** proposed method works well for existing deep learning models such as Alex neural network(AlexNet),visual geometry group neural network(VGGNet),residual neural network(ResNet),and is easier to be *** with state-of-the-art methods,extensive experiments show that the proposed method achieves better retrieval performance.

关键词： CNN Hashing image retrieval Hamming distance

Face recognition system based on CNN and LBP features for classifier optimization and fusion

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The Journal of China Universities of Posts and Telecommunications 2018年第1期25卷 37-47页

作者： Wu Yulin jiang mingyan School of Information Science and Engineering Shandong University

Face recognition has been a hot-topic in the field of pattern recognition where feature extraction and classification play an important role. However, convolutional neural network （CNN） and local binary pattern （LBP） can only extract single features of facial images, and fail to select the optimal classifier. To deal with the problem of classifier parameter optimization, two structures based on the support vector machine （SVM） optimized by artificial bee colony （ABC） algorithm are proposed to classify CNN and LBP features separately. In order to solve the single feature problem, a fusion system based on CNN and LBP features is proposed. The facial features can be better represented by extracting and fusing the global and local information of face images. We achieve the goal by fusing the outputs of feature classifiers. Explicit experimental results on Olivetti Research Laboratory （ORL） and face recognition technology （FERET） databases show the superiority of the proposed approaches.

关键词： CNN features LBP features classifier optimization fusion system face recognition

Archimedean copula estimation of distribution algorithm based on artificial bee colony algorithm

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Journal of Systems Engineering and Electronics 2015年第2期26卷 388-396页

作者： Haidong Xu mingyan jiang Kun Xu School of Information Science and Engineering Shandong University

The artificial bee colony （ABC） algorithm is a com- petitive stochastic population-based optimization algorithm. How- ever, the ABC algorithm does not use the social information and lacks the knowledge of the problem structure, which leads to in- sufficiency in both convergent speed and searching precision. Archimedean copula estimation of distribution algorithm （ACEDA） is a relatively simple, time-economic and multivariate correlated EDA. This paper proposes a novel hybrid algorithm based on the ABC algorithm and ACEDA called Archimedean copula estima- tion of distribution based on the artificial bee colony （ACABC） algorithm. The hybrid algorithm utilizes ACEDA to estimate the distribution model and then uses the information to help artificial bees to search more efficiently in the search space. Six bench- mark functions are introduced to assess the performance of the ACABC algorithm on numerical function optimization. Experimen- tal results show that the ACABC algorithm converges much faster with greater precision compared with the ABC algorithm, ACEDA and the global best （gbest）-guided ABC （GABC） algorithm in most of the experiments.

关键词： artificial bee colony(ABC) algorithm Archimedean copula estimation of distribution algorithm(ACEDA) ACEDA based on artificial be

An Open Access 4×4 MIMO Testbed and its Validation with an IEEE 802,11n WLAN System

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China Communications 2014年第A1期11卷 64-71页

作者： SUN Jian LI Fudong ZHANG Haixia jiang mingyan YUAN Dongfeng SchoolofInformationScienceandEngineering ShandongUniversityJinan250100ShandongChina

Multiple-Input Multiple-Output （MIMO） and Orthogonal Frequency Division Multiplexing （OFDM） have been widely accepted as key techniques of the current and future wireless communication systems. In this paper, an open access MIMO testbed is presented, on which the researchers can demonstrate and evaluate their baseband algorithms over the real wireless channel, without knowing much details about the hardware of the testbed. Moreover, an IEEE 802.11n transmission scheme is implemented as a design example to validate this testbed as well as demonstrate the transmission characteristics of MIMO-OFDM.

关键词： open access testbed MIMO MIMO-OFDM IEEE 802.1 ln receiver algorithms

Design, Synthesis and Pharmacological Evaluation of Novel 4-Phenoxyquinoline Derivatives as Potential Antitumor Agents

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Chemical Research in Chinese Universities 2015年第5期31卷 746-755页

作者： HU Hao jiang mingyan XIE Lijun HU Gang ZHANG Cuirong ZHANG Lixia ZHOU Shunguang ZHANG Meihui GONG Ping Key Laboratory of Structure-based Drug Design and Discovery Ministry of Education Shenyang Pharmaceutical University Shenyang 110016 R R. China Fujian Institute of Microbiology Fuzhou 350007 P R. China

A series of novel 4-phenoxyquinoline derivatives containing 3-amino-2-cyano-acrylamide framework was designed and synthesized, and the in vitro cytotoxic activities of them against five cancer cell lines（HT-29, H460, A549, MKN-45, and U87MG） were evaluated. Most of the compounds exhibited moderate-to-significant cytotoxicity and high selectivity against one or more cell lines as compared with Foretinib. The studies of their preliminary structure-activity relationships（SARs） indicate that the compounds containing methyl groups, especially methyl groups at 4-position of the phenyl ring（moiety B） are more effective. Among them, compound 36 shows the most potent anti- tumor activities with IC50 values of 0.04, 0.09, 0.67, 0.39 and l. 10 μmol/L against HT-29, H460, A549, MKN-45 and U87MG cell lines, respectively.

关键词： 4-Phenoxyquinoline derivative Cytotoxic activity 3-Amino-2-cyano-acrylamide

ZIF-90-loaded DNAzyme-responsive PROTAC for the self-powered degradation of NF-κB

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Science China Chemistry 2024年

作者： Min Hou Liang Sun Tianyu Ren Mingda Li Chao Hu Rong Liu Shuang Gu mingyan jiang Jianhui jiang Jianjun He College of Physics and Chemistry Hunan First Normal University Hunan Provincial Key Laboratory of Animal Models and Molecular Medicine College of Biomedical Sciences College of Chemistry and Chemical Engineering Hunan University Xiangtan Central Hospital

Transcription factors(TFs) play vital roles in regulating gene expressions. Dysregulated or mutated TFs are implicated in a wide array of diseases, highlighting their potential as drug targets. However, TFs are considered undruggable by conventional inhibitor-based modalities. The recently emerged proteolysis targeting chimeras(PROTACs) have exhibited great potential in tackling TFs. In particular, DNA-ligand chimeras that arm E3 ligase-recruiting ligands to TF-binding double-strand DNA represent a promising strategy for the targeted proteolysis of TFs. Here, we report a DNAzyme-inducible PROTAC(DzTAC)that selectively degrades NF-κB in a zinc ion-dependent manner. We further applied zinc-imidazolate metal–organic framework-90(ZIF-90) to encapsulate DzTAC(ZIF-90@DzTAC), facilitating its delivery into cancer cells while self-supplying Zn2+via adenosine triphosphate(ATP)-triggered ZIF-90 dissociation. Moreover, ZIF-90@DzTAC can enhance the treatment efficacy of doxorubicin-based chemotherapy in tumor-bearing mice. The developed DzTAC provides specific modulation over TF activity and opens an avenue for more functional nucleic acid-based control over targeted protein degradation.

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Joint Task Planning of UAV Groups using Improved Multi-objective Lion Swarm Optimization

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Joint Task Planning of UAV Groups using Improved Multi-objec...

Ramulus Cinnamomi Intelligence Quality Assessment Based on Knowledge Reduction

第三十九届中国控制会议

作者： Shengwei Dong mingyan jiang Dongfeng Yuan School of Information Science and Engineering Shandong University

With the development of the technology of unmanned aerial vehicle（UAV）,multi-UAV task allocation has become one of the keys to collaborative control of UAV groups in recent *** at the task allocation,we proposed a multi-objective lion swarm optimization（MOLSO） by researching the original lion swarm optimization（LSO）,and then introduced sequential Monte Carlo methods（SMC） resampling mechanism to improve its *** new multi-objective lion swarm optimization based on resampling（RMOLSO） can effectively solve the task allocation problem of multi-UAV.

关键词： Multi-objective optimization lion swarm optimization task allocation resampling unmanned aerial vehicle

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Ramulus Cinnamomi Intelligence Quality Assessment Based on K...

石墨烯纳米片对AgCuTi钎料熔点与润湿性的影响

2010 3rd International Conference on Computer and Electrical Engineering(ICCEE 2010)

作者： Jianyang Lin mingyan jiang Yajie Xu Zhoumi Kan Department of Pharmacy The First Hospital of China Medical University

According to the traditional morphological classification divide the quality of traditional Chinese medicine Ramulus Cinnamomi into first grade and second grade. Disperse the chromatogram data Ramulus Cinnamomi obtained by criterion inspect and make knowledge reduction. Then it will get the largest liner irrespective vector group. It will get every clustering centre data of Ramulus Cinnamomi with adaptive weight PSO and POWELL optimization. Make the criterion data of Ramulus Cinnamomi as Weibull distribution and make the sample as Normal distribution to calculate similar and ensure the finial similar with similarity ratio. It used lobato integral and Hermite interpolation. This investigation makes good evaluation to the Ramulus Cinnamomi in Guangdong Guangxi Yunnan and Vietnam and high delicacy and anti-jamming.

关键词： Quality Assessment Distributed Clustering Ramulus Cinnamomi Knowledge Reduction

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焊接学报 2019年第4期40卷 154-160,I0007,I0008页

作者：范舟张坤胡敏江明晏西南石油大学材料科学与工程学院

采用球磨法在AgCuTi钎料中添加不同质量分数的石墨烯纳米片(GNSs)制备出复合钎料,利用差示扫描量热仪(DSC),SEM以及XRD等方法研究了微量的石墨烯纳米片对AgCuTi钎料微观形貌、熔点以及在蓝宝石表面润湿性的影响.结果表明,球磨法对GNSs-A... 详细信息

采用球磨法在AgCuTi钎料中添加不同质量分数的石墨烯纳米片(GNSs)制备出复合钎料,利用差示扫描量热仪(DSC),SEM以及XRD等方法研究了微量的石墨烯纳米片对AgCuTi钎料微观形貌、熔点以及在蓝宝石表面润湿性的影响.结果表明,球磨法对GNSs-AgCuTi复合钎料的物相没有影响,石墨烯均匀地分散在AgCuTi颗粒周围;复合钎料熔点随着石墨烯含量的增加而降低,当石墨烯含量为0.5%,熔点降低了3.2℃;微量的石墨烯,改善钎料在蓝宝石表面的润湿性,0.3%GNSs-AgCuTi复合钎料的润湿角减小了4.4°,铺展面积增加了10 mm^2,而过多的石墨烯也使得复合钎料的润湿性变差;石墨烯与元素Ti反应生成TiC,复合钎料与蓝宝石界面反应产物为Ti3Cu3O相.

关键词：复合钎料蓝宝石熔点润湿性