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The retrieval of two-dimensional distribution of the earth's surface aerodynamic roughness using sAR image and TM thermal infrared image

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science China Earth sciences 2004年第12期47卷 1134-1146页

作者： ZHANG Renhua 1 ,WANG Jinfeng 1 ,ZHU Caiying 1,2.,sUN Xiaomin 1 & ZHU Zhilin 1 1.institute of Geographical sciences and Natural Resources,chinese Academy of sciences,Beijing 100101,China {2.,information engineering university of the chinese people’s liberation army,zhengzhou 450052.China 1. chinese Academy of sciences Institute of Geographical Sciences and Natural Resources 100101 Beijing China 2. information engineering university of the chinese people’s liberation army Institute of Surveying and Mapping 450052 Zhengzhou China

After having analyzed the requirement on the aerodynamic earth’s surface rough- ness in two-dimensional distribution in the research field of interaction between land surface and atmosphere, this paper presents a new way to calculate the aerodynamic roughness using the earth’s surface geometric roughness retrieved from sAR (synthetic Aperture Radar) and TM thermal infrared image data. On the one hand, the sPM (small Perturbation Model) was used as a theoretical sAR backscattering model to describe the relationship between the sAR back- scattering coefficient and the earth’s surface geometric roughness and its dielectric constant re- trieved from the physical model between the soil thermal inertia and the soil surface moisture with the simultaneous TM thermal infrared image data and the ground microclimate data. On the basis of the sAR image matching with the TM image, the non-volume scattering surface geo- metric information was obtained from the sPM model at the TM image pixel scale, and the ground pixel surface’s equivalent geometric roughness—height standard RMs (Root Mean square) was achieved from the geometric information by the transformation of the typical to- pographic factors. The vegetation (wheat, tree) height retrieved from spectrum model was also transferred into its equivalent geometric roughness. A completely two-dimensional distribution map of the equivalent geometric roughness over the experimental area was produced by the data mosaic technique. On the other hand, according to the atmospheric eddy currents theory, the aerodynamic surface roughness was iterated out with the atmosphere stability correction method using the wind and the temperature profiles data measured at several typical fields such as bare soil field and vegetation field. After having analyzed the effect of surface equivalent geo- metric roughness together with dynamic and thermodynamic factors on the aerodynamic surface roughness within the working area, this paper first establishe

关键词： surface geometric roughness, aerodynamic surface roughness, sAR backscattering model, moisture retrieval model, roughness transformation model.

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Multi-target state-estimation technique for the particle probability hypothesis density filter

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science China(information sciences) 2012年第10期55卷 2318-2328页

作者： LIN LiangKui 1,2.XU Hui 1,sHENG WeiDong 1 & AN Wei 1 1 school of Electronic science and engineering,National university of Defense Technology,Changsha 410073,China 2.95507 Unit,{2. people's liberation army,Guiyang 550031,China 1. school of Electronic science and engineering National University of Defense Technology Changsha 410073 China 2. 95507 Unit Chinese People’s Liberation Army Guiyang 550031 China

A simple yet effective state-estimation algorithm is presented and demonstrated to have advantages over previous standard clustering techniques used for the particle probability hypothesis density *** idea behind the proposed algorithm is that it uses the latest available information(i.e.,the measurements) to direct particle *** particle likelihood and target number estimation,computed during probability hypothesis density recursion,are both used to partition particles into clusters,and the center of each cluster gives the state estimation of an individual *** results indicate that the proposed algorithm outperforms the standard clustering approach using the k-means algorithm,achieving higher accuracy and shorter computational time.

关键词： probability hypothesis density state estimation particle filter multi-target tracking

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Vibration target detection and vibration parameters estimation based on the DPCA technique in dual-channel sAR

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science China(information sciences) 2012年第10期55卷 2281-2291页

作者： CHEN YingBin 1,2.DENG Bin 1,WANG HongQiang 1,QIN YuLiang 1 & DING JinCan 1 1 Department of Electronic science and engineering,National university of Defense Technology,Changsha 410073,China 2.The {2. people's liberation army 61336 Unit,Beijing 100094,China 1. Department of Electronic science and engineering National University of Defense Technology Changsha 410073 China2. The Chinese People’s Liberation Army 61336 Unit Beijing 100094 China

This paper proposes a new method based on the displaced phase center antenna(DPCA) technique for the detection and parameters estimation of vibration target in dual-channel synthetic aperture radar(sAR).The echo model of vibration target is established in dual-channel sAR according to the equivalent phase center *** accumulating the DPCA signal amplitude in the azimuth direction,we realize the vibration target detection in clutter and noise *** the analysis of DPCA signal amplitude and phase characteristics of vibration target,we then convert the vibration parameters estimation to estimation of a signal with the form of absolute value of a sine function,and the converting conditions is also ***,an algorithm combining the Fourier transform with least squares is proposed for *** simulation results show that the algorithm can estimate each vibration parameter precisely at a low signal-to-noise ratio.

关键词： displaced phase center antenna vibration dual-channel detection parameters estimation

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sTUDIEs ON THE BIODEGRADATION MECHANIsM OF β-TRICAICIUM PHOsPHATE CERAMICs

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Journal of Wuhan university of Technology(Materials science) 1997年第4期12卷 1-6页

作者：阎玉华 Wuhan university of Technology China Res. Ctr. of Med. Mat./engineering Wuhan University of Technology Wuhan 430070 China Xiehe Hospital Tongji Medical University China 2.3 Hospital Chinese People's Liberation Army China

In order to clarify the biodegradation mecha-nism of?-tricalcium phosphate (β-TCP) ceramics, In vitro and In vivo experiments have been carried out. Nanometric microelectrodes were applied to measure the pH values in-side and outside phagocytes which were cultured for 72.hours respectively in (β-TCP-bearing and (β-TCP-free medi-um. Radioactive isotope 45 Ca was used to trace the distribu-tion and metabolism process of degraded products. We found that the degradation of (β-TCP ceramics was due to the dis-solving process in body fluid and the degrading process me-diated by cells. After (β-TCP ceramics labelled by 45 Ca were implanted into rabbits,radioactive 45 Ca was tested in blood, faece and organs such as heart, kidney and stomach etc. It was also found in the nearby new bone. so,we think a small part of the degraded products enter the animal's blood and take part in the metabolism of body . Others are reused to form new bone. The reports from clinical application also gave us strong support.

关键词： β-TCP biodegradation metabolism

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聚氨酯泡沫复合夹层板抗爆特性分析

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同济大学学报（自然科学版） 2003年第1期31卷 6-10页

作者：任志刚楼梦麟田志敏同济大学土木工程防灾国家重点实验室中国人民解放军61489部队

聚氨酯泡沫复合夹层板是一种可广泛应用于防护工程中的新结构形式 ,据此对聚氨酯泡沫材料夹层板进行了爆炸荷载下有限元分析 ,并与粘钢混凝土板及混凝土板两种板结构进行了比较。

关键词：聚氨酯泡沫复合夹层板抗爆特性爆炸荷载有限元分析抗爆吸能性能防护工程

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序列数字图像的色彩校准方法

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四川大学学报（工程科学版） 2005年第1期37卷 135-138页

作者：隆兴银樊庆文林大全中国人民解放军692.1部队四川大学制造科学与工程学院

由于设备和环境因素的影响,医学及工程技术中获得的序列数字图像间亮度和对比度存在较大差异,给后续的图像拼接、三维重建、动画处理等工作带来一定困难。为了减小这种差异,论文采用了一种基于色标的图像差值补偿校准方法。该方法以色... 详细信息

由于设备和环境因素的影响,医学及工程技术中获得的序列数字图像间亮度和对比度存在较大差异,给后续的图像拼接、三维重建、动画处理等工作带来一定困难。为了减小这种差异,论文采用了一种基于色标的图像差值补偿校准方法。该方法以色标为基准,建立图像色彩校准数学模型,在VC++环境中编制了Bitmap序列图像校准程序,对序列图像的位图(DIB)进行操作,将DIBPixels的RGB三原色分量进行差值扩展补偿,较好地实现了序列图像亮度和对比度的一致性处理。实验结果表明当色阶扩展权重系数φr、φg、φb为0.90～0.95时,能够较理想地实现对460幅人体头部实体切片图像色彩的校准。

关键词：数字序列图像色彩校准色标

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Design of Cloud Model Controller Based on Multi-objective Optimization

Design of Cloud Model Controller Based on Multi-objective Op...

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2.11 chinese Control and Decision Conference（CCDC）

作者： Junlin Chang is with the school of information and Electrical engineering,China {2. of Mining and Technology.Wei Zhang is with the school of information and Electrical engineering,China {2. of Mining and Technology.Jing Zhang is with Unit 73101,chinese people''s liberation army.Wei Wei is with the school of information and Electrical engineering,China {2. of Mining and Technology

In order to solve the problem that the parameters of cloud model are difficult to get and the weight of performance index is difficult to obtain when adopt single objective optimization algorithm.A new design of cloud model controller based on multi-objective optimization is *** the first stage,set the system overshoot,settling time,and ITAE index as the optimization objectives,then a fast non-dominating sorting genetic algorithm II （NsGA-II） is employed to optimize its output parameters ku p,k ui,ku d and characteristic parameters Ex,En,*** the subsequent stage,the decision-maker can choose the satisfactory solution from the Pareto optimal solution set according to actual *** validity and superiority of the proposed method are supported by simulation results.

关键词： cloud model cloud controller multi-objective optimization

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Reliability Optimization of Complex Weapon system Using Particle swarm Optimization Algorithm

Reliability Optimization of Complex Weapon System Using Part...

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2.12.质量，可靠性，风险，维修性及安全性工程国际学术会议

作者： Jiancheng Wang The Academy of Equipment Beijing,China Quan Li shaanxi university of Technology Hanzhong,China Hui Qiu 61046 Troops The chinese {2.'s liberation army Beijing,China Jianming Chen 92.52.Troops The chinese {2.'s liberation army Guangzhou,China

To ensure the reliable use and to increase the ratio of cost to efficiency of the complex weapon system in the war,the reliability optimization of complex weapon system has received considerable study ***,this kind of optimization problem usually belongs to the catalog of nonlinear optimization with multiple local extreme *** make use of the global searching ability in optimization problem of this kind, Particle swarm Optimization(PsO) is utilized in this paper to solve the complex weapon system reliability optimization *** general process of PsO algorithm is provided and implemented using advanced programming *** simulation results show that PsO is an effective algorithm,and has obtained solution with the highest precision in solving the same problem as cited in the published literatures pertaining to optimizing complex weapon system reliability.

关键词： complex weapon system reliability optimization particle swarm optimization global optimization local best

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Tent混沌和模拟退火改进的飞蛾扑火优化算法

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哈尔滨工业大学学报 2019年第5期51卷 146-154页

作者：岳龙飞杨任农张一杰于洋张振兴空军工程大学空管领航学院西北工业大学电子信息学院中国人民解放军95810部队

针对标准飞蛾扑火优化算法存在的易陷入局部最优陷阱、全局寻优能力不足的问题,借鉴混沌序列、模拟退火算法和遗传算法,提出Tent混沌和模拟退火改进的飞蛾扑火优化算法.首先,通过Tent混沌序列初始化种群,增加种群多样性;然后对当前最优... 详细信息

针对标准飞蛾扑火优化算法存在的易陷入局部最优陷阱、全局寻优能力不足的问题,借鉴混沌序列、模拟退火算法和遗传算法,提出Tent混沌和模拟退火改进的飞蛾扑火优化算法.首先,通过Tent混沌序列初始化种群,增加种群多样性;然后对当前最优解增加扰动产生新解,并与当前最优解按比例杂交相加,根据模拟退火算法中的Metropolis准则判断是否接受杂交后的新解,最终获得最优解.分别使用复杂高维基准函数和航迹规划问题测试算法性能.其中,6个复杂基准函数寻优测试结果表明,对于10维基准函数,该算法经过约0.2.秒收敛到最优值;对于50维基准函数,该算法经过约0.5秒收敛到最优值.与标准飞蛾扑火优化算法和其它智能优化算法相比,该算法能够有效跳出局部最优解,寻优精度更高,收敛速度更快.航迹规划仿真表明,对有4个禁飞区和2.威胁源的空域环境,该算法经过大约100次迭代可以得到最优航迹,与标准飞蛾扑火优化算法相比精度更高,具有实际应用价值.因此,该算法具有更好的寻优性能.

关键词：飞蛾扑火优化算法 Tent混沌模拟退火智能优化算法混沌序列

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发射药热自燃的数值模拟研究

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清华大学学报（自然科学版） 1998年第7期38卷 78-81页

作者：姜培学江劲勇陈明华路桂娥任泽霈清华大学热能工程系中国人民解放军59163部队

对发射药热自燃现象进行了数值模拟研究。通过与在实验室中进行的小模型实验及在野外进行的大模型实验结果的比较，确定了发射药热自燃的反应模型；在此基础上，通过数值模拟研究了直径和壁面温度对发射药热自燃的影响规律。结果发现：... 详细信息

对发射药热自燃现象进行了数值模拟研究。通过与在实验室中进行的小模型实验及在野外进行的大模型实验结果的比较，确定了发射药热自燃的反应模型；在此基础上，通过数值模拟研究了直径和壁面温度对发射药热自燃的影响规律。结果发现：实验段四周壁面温度越高、实验段直径越大，发射药越容易自燃；发射药Ｎｏ．１比发射药Ｎｏ．２更容易发生热自燃。还预测了在各种温度条件下，发射药Ｎｏ．１与发射药Ｎｏ．２可能发生热自燃的直径范围。

关键词：发射药热自燃数值模拟内热源

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