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期刊论文 7

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2022 1

2017 3

2016 1

2008 1

2007 1

关键词

局部最大小波系数；可靠特征点分配；目标跟踪；跟踪-学习-检测（TLD）；卡尔曼滤波器 1

认知无线电网络；最大比合并；保密中断概率；单输入多输出 1

遍历保密容量，最大比合并，加权误差，物理层保密，选择合并，单输入多输出 1

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Phenolic rigid organic filler/isotactic polypropylene composites. II. Tensile properties

QI Dongming, SHAO Jianzhong, WU Minghua, NITTA Kohhei

《化学科学与工程前沿（英文）》 2008年第2卷第4期页码 396-401 doi: 10.1007/s11705-008-0077-1

摘要： A novel phenolic rigid organic filler (KT) was used to modify isotactic polypropylene (iPP). The influence of KT particles on the tensile properties of PP/KT microcomposites was studied by uniaxial tensile test and the morphological structures of the stretched specimens were observed by scanning electron microscopy (SEM) and polarized optical microscopy (POM). We found that the Young’s modulus of PP/KT specimens increased with filler content, while the yield and break of the specimens are related to the filler particles size. The yield stress, the breaking stress and the ultimate elongation of PP/KT specimens were close to those of unfilled iPP specimens when the maximal filler particles size is less than a critical value, which is 7 ?m at a crosshead speed of 10 mm/min and 3 ?m at 200 mm/min, close to that of glass bead but far more than those of other rigid inorganic filler particles. The interfacial interaction was further estimated from yield stress, indicating that KT particles have a moderate interfacial interaction with iPP matrix. Thus, the incorporation of small KT particles can reinforce iPP matrix and simultaneously cause few detrimental effects on the other excellent tensile properties of iPP matrix, due to their organic nature, higher specific area, solid true-spherical shape and the homogenous dispersion of the ROF particles in microcomposites.

关键词： maximal uniaxial tensile unfilled excellent tensile influence

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Novel drive mechanism for in-tube micro robots

CHEN Yangzhi, XING Guangquan, PENG Xuefei, LIU Wenguang, YAO Huaping

《机械工程前沿（英文）》 2007年第2卷第1期页码 94-98 doi: 10.1007/s11465-007-0016-8

摘要： The volume of an in-tube micro robot is small and its interior space is very limited. However, conventional transmission methods are unfit to drive in-tube micro robots. A novel micro drive mechanism called the micro-elastic-meshing-wheel is presented in this paper. It can be used for transmitting power and locomotion between two shafts, which are upright and cross in a micro space. The mechanical model of the novel drive mechanism is built, and the maximal transmission force is deduced. Then, sufficient experiments are carried out to test maximal transmission force produced by the novel drive mechanism. The calculation and experiment results show that the novel drive mechanism can transmit sufficient power to in-tube micro robots.

关键词： limited conventional transmission maximal transmission upright calculation

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Data-driven distribution network topology identification considering correlated generation power of distributed energy resource

《能源前沿（英文）》 2022年第16卷第1期页码 121-129 doi: 10.1007/s11708-021-0780-x

摘要： This paper proposes a data-driven topology identification method for distribution systems with distributed energy resources (DERs). First, a neural network is trained to depict the relationship between nodal power injections and voltage magnitude measurements, and then it is used to generate synthetic measurements under independent nodal power injections, thus eliminating the influence of correlated nodal power injections on topology identification. Second, a maximal information coefficient-based maximum spanning tree algorithm is developed to obtain the network topology by evaluating the dependence among the synthetic measurements. The proposed method is tested on different distribution networks and the simulation results are compared with those of other methods to validate the effectiveness of the proposed method.

关键词： power distribution network data-driven topology identification distributed energy resource maximal information coefficient

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基于最大比合并的认知无线电物理层保密性能分析 Article

Hui ZHAO,Dan-yang WANG,Chao-qing TANG,Ya-ping LIU,Gao-feng PAN,Ting-ting LI,Yun-fei CHEN

《信息与电子工程前沿（英文）》 2016年第17卷第9期页码 929-937 doi: 10.1631/FITEE.1500351

摘要：概要：在瑞利衰落信道下，本文研究了认知无线电网络中最大比合并的保密中断性能。在一个单输入多输出窃密系统中，本文考虑一个次级用户向另一个装备多根接收天线并且采用最大比合并提高其合并信噪比的次级用户发送保密信息。与此同时，一个装备多根接收天线也采用最大比合并的窃密者窃听这对合法次级用户的信息。合法次级发送者采用Underlay策略与主用户共享频谱资源的同时亦不影响主用户的通信质量。考虑上述的窃密环境，本文分别得到了精确和近似保密中断概率的闭式表达式。

关键词：认知无线电网络；最大比合并；保密中断概率；单输入多输出

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Regional wind power forecasting model with NWP grid data optimized

Zhao WANG, Weisheng WANG, Bo WANG

《能源前沿（英文）》 2017年第11卷第2期页码 175-183 doi: 10.1007/s11708-017-0471-9

摘要： Unlike the traditional fossil energy, wind, as the clean renewable energy, can reduce the emission of the greenhouse gas. To take full advantage of the environmental benefits of wind energy, wind power forecasting has to be studied to overcome the troubles brought by the variable nature of wind. Power forecasting for regional wind farm groups is the problem that many power system operators care about. The high-dimensional feature sets with redundant information are frequently encountered when dealing with this problem. In this paper, two kinds of feature set construction methods are proposed which can achieve the proper feature set either by selecting the subsets or by transforming the original variables with specific combinations. The former method selects the subset according to the criterion of minimal-redundancy-maximal-relevance (mRMR), while the latter does so based on the method of principal component analysis (PCA). A locally weighted learning method is also proposed to utilize the processed feature set to produce the power forecast results. The proposed model is simple and easy to use with parameters optimized automatically. Finally, a case study of 28 wind farms in East China is provided to verify the effectiveness of the proposed method.

关键词： regional wind power forecasting feature set minimal-redundancy-maximal-relevance (mRMR) principal component analysis (PCA) locally weighted learning model

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基于可靠特征点分配算法的鲁棒性跟踪框架 Article

Rong-feng ZHANG, Ting DENG, Gui-hong WANG, Jing-lun SHI, Quan-sheng GUAN

《信息与电子工程前沿（英文）》 2017年第18卷第4期页码 545-558 doi: 10.1631/FITEE.1601464

摘要：通过搜索局部最大小波系数（Local maximal wavelet coefficients, LMWC）的位置，获得可靠特征点。

关键词：局部最大小波系数；可靠特征点分配；目标跟踪；跟踪-学习-检测（TLD）；卡尔曼滤波器

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存在信道状态估计误差的最大比合并/选择合并分集技术在单输入多输出窃密系统中的遍历保密容量分析 Article

Hui ZHAO, You-yu TAN, Gao-feng PAN, Yun-fei CHEN

《信息与电子工程前沿（英文）》 2017年第18卷第4期页码 578-590 doi: 10.1631/FITEE.1500430

摘要：在物理层中，本文研究了存在信道估计误差的最大比合并/选择合并的保密容量性能。在一个单输入多输出窃密信道中，信源向一个装备M根接收天线并采用最大比合并/选择合并技术处理多径信号的信宿发送保密信息。与此同时，一个窃密者装备N根接收天线并采用最大比合并/选择合并技术来提高窃密的成功率。我们分别推导了两种情况下遍历保密容量的精确和近似闭式表达式：（1）最大比合并带有信道估计误差；（2）选择合并带有信道延迟。此外，本文得到了高信噪比斜率和高信噪比功率补偿两个重要的参数，它们在高信噪比条件下决定了遍历保密容量。最后，本文通过仿真分析验证了所得到的闭式表达式的准确性。

关键词：遍历保密容量，最大比合并，加权误差，物理层保密，选择合并，单输入多输出

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标题作者时间类型操作

Phenolic rigid organic filler/isotactic polypropylene composites. II. Tensile properties

QI Dongming, SHAO Jianzhong, WU Minghua, NITTA Kohhei

期刊论文

Novel drive mechanism for in-tube micro robots

CHEN Yangzhi, XING Guangquan, PENG Xuefei, LIU Wenguang, YAO Huaping

期刊论文

Data-driven distribution network topology identification considering correlated generation power of distributed energy resource

期刊论文

基于最大比合并的认知无线电物理层保密性能分析