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| 1 | Monodisperse core-shell structured magnetic mesoporous aluminosilicate nanospheres with large dendritic mesochannels显示文摘合理设计和有一个定制的活跃核心和大、树枝状的、修改 mesoporous 的多功能的混合 nanostructures 的精确合成组织了壳能支持催化作用,精力存储,和生物应用。这里,油水双相层化涂层策略被开发了准备 monodisperse 磁性的树枝状的 mesoporous 硅石核心壳结构化的 nanospheres。这些复杂 Fe 3 O 4@SiO2@dendritic-mSiO2 nanospheres 特征大树枝状的开的毛孔(2.7 和 10.3 nm ) 。显著地,硅石壳能与未改变的孔, 14 的 Si/Al 臼齿的比率,和显著地强壮的酸的地点被变换成树枝状的 mesoporous 铝矽酸盐框架,通过一条合成以后的途径。另外,结果的磁性的树枝状的 mesoporous 铝矽酸盐 nanospheres 展览在从废水的磷酸盐移动的突出的性质和有希望的申请。 | Jianping Yang Dengke Shen Yong Wei Wei Li Fan Zhang Biao Kong Shaohua Zhang Wei Teng Jianwei Fan Weixian Zhang Shixue Dou Dongyuan Zhao | 2015 | Nano Research2015，8，8： | 11 |
| 2 | SVM-DT-Based Adaptive and Collaborative Intrusion Detection显示文摘As a primary defense technique, intrusion detection becomes more and more significant since the security of the networks is one of the most critical issues in the world. We present an adaptive collaboration intrusion detection method to improve the safety of a network. A self-adaptive and collaborative intrusion detection model is built by applying the Environmentsclasses, agents, roles, groups, and objects(E-CARGO) model. The objects, roles, agents, and groups are designed by using decision trees(DTs) and support vector machines(SVMs), and adaptive scheduling mechanisms are set up. The KDD CUP 1999 data set is used to verify the effectiveness of the method. The experimental results demonstrate the feasibility and efficiency of the proposed collaborative and adaptive intrusion detection method. Also, the proposed method is shown to be more predominant than the methods that use a set of single type support vector machine(SVM) in terms of detection precision rate and recall rate. | Shaohua Teng Naiqi Wu Haibin Zhu Luyao Teng Wei Zhang | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，1： | 11 |
| 3 | A Cooperative Network Intrusion Detection Based on Fuzzy SVMs显示文摘 | Teng Shaohua Du Hongle Wu Naiqi | 2010 | Journal of Network2010，5，4： | 1 |
| 4 | A Cooperative Net- work Intrusion Detection Based on Fuzzy SVMs显示文摘 | Teng Shaohua Du Hongle Wu Naiqi | 2010 | Journal of Networks2010，5，4： | 1 |
| 5 | A cooperative network intrusion detection based on fuzzy SVMs显示文摘 | Teng Shaohua Du Hongle Wu Naiqi | 2010 | Journal of Network2010，5，4： | 1 |
| 6 | Case Reasoning and state transition analysis for intrusion detection显示文摘 | Shaohua Teng | 2004 | Information & Computational Science2004，，： | 1 |
| 7 | The txseareh on improvement of apriori algorithm based on mining frequent itemsets 显示文摘 | LI Xiaocong TENG Shaohua | 2011 | Jour- nal of Jiangxi Normal University: Natural Science Edition2011，35，5： | 1 |
| 8 | The calculation ofsimilarity and its application in data mining 显示文摘 | Teng Shaohua Li Junlei Li Rigui | 2014 | LectureNotes in Computer Science2014，8351，： | 1 |
| 9 | Case Reasoning and State Transition Analysis for Intrusion Detection 显示文摘 | Shaohua Teng | 2004 | Information & Computational Science2004，，： | 1 |
| 10 | Spatial transformation of general sampling-aliasing frequency region for rotating-blade parameter identification with emphasis on single-probe blade tip-timing measurement显示文摘Blade-health monitoring is intensely required for turbomachinery because of the high failure risk of rotating blades.Blade-Tip Timing(BTT)is considered as the most promising technique for operational blade-vibration monitoring,which obtains the parameters that characterize the blade condition from recorded signals.However,its application is hindered by severe undersampling and stringent probe layouts.An inappropriate probe layout can make most of the existing methods invalid or inaccurate.Additionally,a general conflict arises between the allowed and required layouts because of arrangement restrictions.For the sake of economy and safety,parameter identification based on fewer probes has been preferred by users.In this work,a spatial-transformation-based method for parameter identification is proposed based on a single-probe BTT measurement.To present the general Sampling-Aliasing Frequency(SAFE)map definition,the traditional time-frequency analysis methods are extended to a time-sampling frequency.Then,a SAFE map is projected onto a parameter space using spatial transformation to extract the slope and intercept parameters,which can be physically interpreted as an engine order and a natural frequency using coordinate transformation.Finally,the effectiveness and robustness of the proposed method are verified by simulations and experiments under uniformly and nonuniformly variable speed conditions. | Jiahui CAO Zhibo YANG Guangrong TENG Shaohua TIAN Guoyong YE Xuefeng CHEN | 2023 | Chinese Journal of Aeronautics2023，36，3： | 1 |
| 11 | A cooperative net- work intrusion detection based on fuzzy SVMs 显示文摘 | Teng Shaohua Du Hongle Wu Naiqi | 2010 | Journal of Networks2010，5，4： | 1 |
| 12 | Excess capacity on compound phases of Li_(2)FeTiO_(4) composite cathode materials synthesized by hydrothermal reaction using optional titanium sources to boost battery performance显示文摘Li_(2)FeTiO_(4) composites have been produced using commercial LiAC,FeCl_(2) and different titanium sources by hydrothermal synthesis(HS)at 175℃and subsequent annealing at 700℃.Impure phase TiO_(2),Fe_(2)O_(3) and FeTi0_(4) were detected out among the Li_(2)FeTiO_(4) composites with different titanium sources.Micron and nano-sized particles of Li2FeTiO4 were prepared from various titanium raw materials,with nano-sized particles predominating when titanium raw materials were layered hydrogen titanate nanowire(H2Ti3O7 NW,HTO-NW)and titanium oxide nanotubes(TiO_(2) NB).The Li_(2)FeTiO_(4) composites synthesized by HTO-NW shows a primary particle size of 50-200 nm of high crystallinity staggered with undissolved nanowire with a diameter size of about 100 nm.The samples using one-dimensio nal nanometer titanium oxide(TiO2 NB)as the raw material can get a super high initial discharge capacity of 367.8 mAh/g at the rate of C/10 and excellent cycling stability.The selection of raw materials and adopting multi-phase modification can be considered as an effective strategy to improve the electro-chemical properties of Li_(2)FeTiO_(4) composite cathode materials for the lithium secondary battery. | Liu Yang Shaohua Luo Yafeng Wang Yang Zhan Qing Wang Yahui Zhang Xin Liu Wenning Mu Fei Teng | 2020 | Chinese Chemical Letters2020，31，12： | 0 |
| 13 | Improved minimum variance distortionless response spectrum method for efficient and robust non-uniform undersampled frequency identification in blade tip timing显示文摘The noncontact blade tip timing(BTT)measurement has been an attractive technology for blade health monitoring(BHM).However,the severe undersampled BTT signal causes a significant challenge for blade vibration parameter identification and fault feature extraction.This study proposes a novel method based on the minimum variance distortionless response(MVDR)of the direction of arrival(DoA)estimation for blade natural frequency estimation from the non-uniformly undersampled BTT signals.First,based on the similarity between the general data acquisition model for BTT and the antenna array model in DoA estimation,the circumferentially arranged probes on the casing can be regarded as a non-uniform linear array.Thus,BTT signal reconstruction is converted into the DoA estimation problem of the non-uniform linear array signal.Second,MVDR is employed to address the severe undersampling issue and recover the BTT undersampled signal.In particular,spatial smoothing is innovatively utilized to enhance the estimation of covariance matrix of the BTT signal to avoid ill-condition or singularity,while improving efficiency and robustness.Lastly,numerical simulation and experimental testing are employed to verify the validity of the proposed method.Monte Carlo simulation results suggest that the proposed method behaves better than conventional methods,especially under a lower signal-to-noise ratio condition.Experimental results indicate that the proposed method can effectively overcome the severe undersampling problem of BTT signal induced by physical limitations,and has a strong potential in the field of BHM. | Ruochen JIN Laihao YANG Zhibo YANG Shaohua TIAN Guangrong TENG Xuefeng CHEN | 2023 | Frontiers of Mechanical Engineering2023，18，4： | 0 |
| 14 | Safety and Current Status of the COVID-19 Vaccine among Patients with Breast cancer: A Cross-Sectional Study from China显示文摘In this study,we aimed to explore the safety and vaccination coverage data of Chinese patients with breast cancer receiving coronavirus disease 2019(COVID-19)vaccination.The patients were recruited from 41 hospitals across 20 Chinese provinces.The vaccination coverage was approximately 22.4%,and the frequency of total adverse events was 13.3%after the first dose and 9.9%after the second dose.The most frequent adverse reaction within 14 days of the first dose was local pain(5.7%).Unvaccinated patients were very likely to reject the vaccine rather than be hesitant in patients with old age(odds ratio[OR],1.238;95%confidence interval[CI],1.101-1.391),chronic disease history(OR,1.189;95%CI,1.057-1.337),and cancer relapse(OR,1.398;95%CI,1.233-1.585).Of the unvaccinated patients with breast cancer,54.1%opted to receive COVID-19 vaccines if more data were available.Considering the safety but low vaccination coverage for breast cancer,increased positive attitudes and acceptance toward COVID-19 vaccines are important. | Shaohua Zhang Jianbin Li Ruonan Xu Qianjun Chen Gang Sun Ying Lin Feng Jin Xinlan Liu Zhimin Fan Yiding Chen Yali Cao Xinzheng Li Jianyun Nie Guiying Xu Xiaojia Wang Yuee Teng Tao Sun Hong Liu Jing Luo Cuizhi Geng Man Li Ting Luo Yinhua Liu Fu-Sheng Wang Zefei Jiang | 2023 | Infectious Diseases & Immunity2023，3，3： | 0 |
| 15 | Adaptive Graph Embedding With Consistency and Specificity for Domain Adaptation显示文摘Domain adaptation(DA) aims to find a subspace,where the discrepancies between the source and target domains are reduced. Based on this subspace, the classifier trained by the labeled source samples can classify unlabeled target samples well.Existing approaches leverage Graph Embedding Learning to explore such a subspace. Unfortunately, due to 1) the interaction of the consistency and specificity between samples, and 2) the joint impact of the degenerated features and incorrect labels in the samples, the existing approaches might assign unsuitable similarity, which restricts their performance. In this paper, we propose an approach called adaptive graph embedding with consistency and specificity(AGE-CS) to cope with these issues. AGE-CS consists of two methods, i.e., graph embedding with consistency and specificity(GECS), and adaptive graph embedding(AGE).GECS jointly learns the similarity of samples under the geometric distance and semantic similarity metrics, while AGE adaptively adjusts the relative importance between the geometric distance and semantic similarity during the iterations. By AGE-CS,the neighborhood samples with the same label are rewarded,while the neighborhood samples with different labels are punished. As a result, compact structures are preserved, and advanced performance is achieved. Extensive experiments on five benchmark datasets demonstrate that the proposed method performs better than other Graph Embedding methods. | Shaohua Teng Zefeng Zheng Naiqi Wu Luyao Teng Wei Zhang | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，11： | 0 |
| 16 | Knowledge Transfer Learning via Dual Density Sampling for Resource-Limited Domain Adaptation显示文摘Most existing domain adaptation(DA) methods aim to explore favorable performance under complicated environments by sampling.However,there are three unsolved problems that limit their efficiencies:ⅰ) they adopt global sampling but neglect to exploit global and local sampling simultaneously;ⅱ)they either transfer knowledge from a global perspective or a local perspective,while overlooking transmission of confident knowledge from both perspectives;and ⅲ) they apply repeated sampling during iteration,which takes a lot of time.To address these problems,knowledge transfer learning via dual density sampling(KTL-DDS) is proposed in this study,which consists of three parts:ⅰ) Dual density sampling(DDS) that jointly leverages two sampling methods associated with different views,i.e.,global density sampling that extracts representative samples with the most common features and local density sampling that selects representative samples with critical boundary information;ⅱ)Consistent maximum mean discrepancy(CMMD) that reduces intra-and cross-domain risks and guarantees high consistency of knowledge by shortening the distances of every two subsets among the four subsets collected by DDS;and ⅲ) Knowledge dissemination(KD) that transmits confident and consistent knowledge from the representative target samples with global and local properties to the whole target domain by preserving the neighboring relationships of the target domain.Mathematical analyses show that DDS avoids repeated sampling during the iteration.With the above three actions,confident knowledge with both global and local properties is transferred,and the memory and running time are greatly reduced.In addition,a general framework named dual density sampling approximation(DDSA) is extended,which can be easily applied to other DA algorithms.Extensive experiments on five datasets in clean,label corruption(LC),feature missing(FM),and LC&FM environments demonstrate the encouraging performance of KTL-DDS. | Zefeng Zheng Luyao Teng Wei Zhang Naiqi Wu Shaohua Teng | 2023 | IEEE/CAA Journal of Automatica Sinica2023，10，12： | 0 |
| 17 | Effect of Pennisetum purpureum Schum cv. Guiminyin on Milk Yield and Quality of Jersey Cattle at Lactation Stage显示文摘The study aimed to research the forage value of Pennisetum purpureum Schum cv.Guiminyin in dairy industry and then provide scientific support for feeding jersey cattle with P.purpureum Schum cv.Guiminyin.Totally 20 jersey cattle at lactation stage were selected and divided into two groups randomly,10 cattle each group.The cattle were fed with P.purpureum Schum cv.Guiminyin and P.purpureum cv.Mott×(P.americanum×P.purureum)cv.Guimu No.1,respectively.The results showed that P.purpureum Schum cv.Guiminyin performed well in both nutritional value and palatability,and received remarkable effects on jersey cattle.The milk yield was 5.4%higher than that of before test,and the average daily milk yield was(11.65±0.07)kg/cattle.Compared with control group,milk fat percentage,lactoprotein content and overall milk-solid content were improved somewhat.Feeding jersey cattle with P.purpureum Schum cv.Guiminyin at lactation stage could increase their milk yield and milk quality. | Yao Na Teng Shaohua Lai Zhiqiang Yi Xianfeng Qiu Jinhua Deng Suyuan Lai Dawei | 2016 | Animal Husbandry and Feed Science2016，8，3： | 0 |
| 18 | Fern Flora in Grassland of Gansu Province显示文摘In order to fully understand the distribution characteristics and geographical elements of fern flora and to reveal their process of natural history,the present study analyzed the floristic composition and geographical distribution of ferns in grassland of Gansu Province. The results showed that there were 31 species of ferns in grassland of Gansu,belonging to 19 genera and 14 families. The investigated ferns accounted for 22. 22%,8. 26% and 1. 99% of total families( 63),total genera( 230) and total species( 2 600) of ferns resources,respectively. The dominant families were Dryopteridceae and Polypodiaceae; the dominant genera were Selaginella and Woodsia. Families mainly belonged to tropical distribution type and genera mainly belonged to tropical and temperate distribution type without endemic genus. Vertical distribution was obvious; plant components contained old families and genera. The richness of fern in Gansu grassland was not high. | Shi Jing Lan Xi Yu Huiyun Wu Huijuan Yao Na Liang Yongliang Yi Xianfeng Teng Shaohua | 2017 | Animal Husbandry and Feed Science2017，9，4： | 0 |
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