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一种快速的InSAR图像精配准方法

西安电子科技大学学报 2016年第3期43卷 172-178页

作者：薛海伟冯大政西安电子科技大学雷达信号处理国家重点实验室陕西西安710071

针对传统的配准方法通过对图像过采样插值来实现亚像素精度配准,但是搜索精度受限于插值单元尺寸,且计算量会随精度要求的提高而大幅增加的问题,提出了一种快速解析搜索亚像素偏移量的图像精配准方法.首先,该方法以干涉频谱信噪比为匹... 详细信息

针对传统的配准方法通过对图像过采样插值来实现亚像素精度配准,但是搜索精度受限于插值单元尺寸,且计算量会随精度要求的提高而大幅增加的问题,提出了一种快速解析搜索亚像素偏移量的图像精配准方法.首先,该方法以干涉频谱信噪比为匹配测度,通过整合过采样插值和匹配测度搜索过程,将亚像素偏移量搜索过程转化为连续函数优化问题,实现了对亚像素偏移量的解析搜索,提高了配准精度;然后,采用双迭代算法对代价函数进行优化,能够快速准确地获得代价函数最大值对应的偏移量.实验结果表明,该方法不仅具有较高的配准精度,且在计算复杂度方面也有较大改善.

关键词：干涉合成孔径雷达亚像素配准信噪比图像插值双迭代算法

A Range-Threshold Based Medical Image Classification Algorithm for Crowdsourcing

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国际计算机前沿大会会议论文集 2017年第1期 110-112页

作者： Shengnan Zhao haiwei Pan Xiaoqin Xie Zhiqiang Zhang Xiaoning feng College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China

Medical images are important for medical research and clinical *** research of medical images includes image acquisition,processing,analysis and other related research *** is attracting growing interests in recent years as an effective *** can harness human intelligence to solve problems that computers cannot perform well,such as sentiment analysis and image *** can achieve higher accuracies in medical image classification,but it cannot be widely used for its low efficiency and the monetary *** adopt a hybrid approach which combines computer’s algorithm and crowdsourcing system for image *** image classification algorithms have a high error rate near the *** it is not significant by improving these classification algorithms to achieve a higher *** address the problem,we propose a hybrid framework,which can achieve a higher accuracy significantly than only use classification *** the same time,it only processes the images that classification algorithms perform not well,so it has a lower monetary *** the framework,we device an effective algorithm to generate a range-threshold that assign images to crowdsourcing or classification *** results show that our method can improve the accuracy of medical images classification and reduce the crowdsourcing monetary cost.

关键词： Medical image Range-threshold based Crowdsourcing Image classification

Magnetometer Calibration Scheme for Quadrotors with On-Board Magnetic Field of Multiple DC Motors

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Magnetometer Calibration Scheme for Quadrotors with On-Board...

A New Method for Medical Image Retrieval Based on Markov Random Field

2013年中国智能自动化学术会议

作者： haiwei Liu Ming Liu Yunjian Ge feng Shuang Department of Automation University of Science and Technology of China Institute of Intelligent Machines Hefei

This paper presents a 3D calibration approach of magnetometer with a new fitting error *** some iterative and numerical approaches,the method has closed form solution with great simplicity and therefore can be easily implemented by microcontroller-based on-board pilots of miniature unmanned aerial vehicles(UAV) with a potential of in-flight *** experimental validation on a quadrotor in our laboratory shows its efficiency profoundly owing to its close analytical *** approach was further applied to evaluate the impact of the on-board magnetic field generated by the permanent-magnets of DC motors of the quadrotor at different thrust levels,and the result shows that the relation between UAV’s thrust command and motors-induced magnetic bias can be simply fitted by a linear function,which can be used for precise heading calculation during flight.

关键词： UAV Quadrotor Magnetometer Calibration

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国际计算机前沿大会会议论文集 2017年第1期 113-115页

作者： Tiaodi Wang haiwei Pan Xiaoqin Xie Zhiqiang Zhang Xiaoning feng College of Computer Science and Technology Harbin Engineering UniversityHarbin 150001China

The development of medical images acquisition and storage technology has led to the rapid growth of the relevant *** of similar medical images can effectively help doctors to diagnose diseases more *** because of the particularity of medical images,traditional contentbased image retrieval(CBIR)method such as bag-of-words(BOW)cannot be applied to medical *** example,when retrieving a diseased image,we should not only consider the similar characteristics but also need to consider the type of *** for medical images,images with the same lesion may have different image features,similar images may have different types of *** this paper,a Markov random field(MRF)is structured,and an approximate belief propagation algorithm is used to retrieval *** adjust-ranking step after initial retrieval is incorporated to further improve the retrieval *** paper uses the real brain CT *** experimental results show that the proposed method can significantly improve the retrieval accuracy and has good efficiency.

关键词： Medical image retrieval Markov random field Belief propagation

Catalytic conversion of lignocellulosic biomass into chemicals and fuels

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Green Energy & Environment 2023年第1期8卷 10-114页

作者： Weiping Deng Yunchao feng Jie Fu haiwei Guo Yong Guo Buxing Han Zhicheng Jiang Lingzhao Kong Changzhi Li Haichao Liu Phuc T.T.Nguyen Puning Ren feng Wang Shuai Wang Yanqin Wang Ye Wang Sie Shing Wong Kai Yan Ning Yan Xiaofei Yang Yuanbao Zhang Zhanrong Zhang Xianhai Zeng Hui Zhou State Key Laboratory for Physical Chemistry of Solid Surfaces Collaborative Innovation Center of Chemistry for Energy MaterialsNational Engineering Laboratory for Green Chemical Productions of Alcohols-Ethers-Estersand College of Chemistry and Chemical EngineeringXiamen UniversityXiamen361005China Fujian Engineering and Research Center of Clean and High-valued Technologies for Biomass Xiamen Key Laboratory of High-valued Utilization of BiomassCollege of EnergyXiamen University361102China Key Laboratory of Biomass Chemical Engineering of Ministry of Education College of Chemical and Biological EngineeringZhejiang UniversityHangzhou310027China Institute of Zhejiang University-Quzhou 78 Jiuhua Boulevard NorthQuzhou324000China School of Energy and Environmental Engineering Hebei University of TechnologyTianjin300401China Shanghai Key Laboratory of Functional Materials Chemistry Research Institute of Industrial CatalysisSchool of Chemistry and Molecular EngineeringEast China University of Science and TechnologyShanghai200237China Beijing National Laboratory for Molecular Sciences CAS Key Laboratory of Colloid and Interface and ThermodynamicsCAS Research/Education Center for Excellence in Molecular SciencesInstitute of ChemistryChinese Academy of SciencesBeijing100190China Department of Biomass Science and Engineering Sichuan UniversityChengdu610065China CAS Key Laboratory of Low-carbon Conversion Science and Engineering Shanghai Advanced Research InstituteChinese Academy of SciencesShanghai201210China University of Chinese Academy of Sciences Beijing100049China CAS Key Laboratory of Science and Technology on Applied Catalysis Dalian Institute of Chemical PhysicsChinese Academy of SciencesDalian116023China Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular EngineeringPeking UniversityBeijing100871China Department of Chemical and Biomolecular Engineering National University of Singapore4 Engineering Drive 4Singapore117585Singapore Sta

In the search of alternative resources to make commodity chemicals and transportation fuels for a low carbon future,lignocellulosic biomass with over 180-billion-ton annual production rate has been identified as a promising *** review focuses on the state-of-the-art catalytic transformation of lignocellulosic biomass into value-added chemicals and *** a brief introduction on the structure,major resources and pretreatment methods of lignocellulosic biomass,the catalytic conversion of three main components,i.e.,cellulose,hemicellulose and lignin,into various compounds are comprehensively *** in separate steps or in one-pot,cellulose and hemicellulose are hydrolyzed into sugars and upgraded into oxygen-containing chemicals such as 5-HMF,furfural,polyols,and organic acids,or even nitrogen-containing chemicals such as amino *** the other hand,lignin is first depolymerized into phenols,catechols,guaiacols,aldehydes and ketones,and then further transformed into hydrocarbon fuels,bioplastic precursors and bioactive *** review then introduces the transformations of whole biomass via catalytic gasification,catalytic pyrolysis,as well as emerging ***,opportunities,challenges and prospective of woody biomass valorization are highlighted.

关键词： Lignocelullose Biomass Catalytic conversion Biofuels Renewable chemicals

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高功率PIN限幅器设计及测试方案

强激光与粒子束 2011年第11期23卷 3029-3032页

作者：张海伟史小卫徐乐魏峰西安电子科技大学天线与微波技术国家重点实验室西安710071

介绍了利用PIN二极管进行高功率无源限幅器的设计方法,分析了影响限幅器功率容量、限幅电平、尖峰泄露、响应速度及恢复时间等的因素。利用平面微带电路的形式,提出了无源检波式及主动式PIN限幅器设计,仿真结果表明:该无源检波式限幅器... 详细信息

介绍了利用PIN二极管进行高功率无源限幅器的设计方法,分析了影响限幅器功率容量、限幅电平、尖峰泄露、响应速度及恢复时间等的因素。利用平面微带电路的形式,提出了无源检波式及主动式PIN限幅器设计,仿真结果表明:该无源检波式限幅器起限电平约为-3dBm,脉冲功率容量60dBm,限幅电平15dBm左右。针对设计的限幅器,提出了用于测试限幅器性能的高功率实验平台。该平台采用双路双频耦合测量,具有很高的大小信号隔离度,能够进行高功率脉冲、连续波测试,在准确测量限幅器的功率容量、限幅电平、响应速度及恢复时间等指标方面具有很高的可靠性。

关键词：高功率 PIN限幅器无源检波限幅器主动式限幅器高功率测试平台

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库水位下降对库岸滑坡稳定性的影响

铁道建筑 2007年第8期47卷 74-77页

作者：杨海巍冯永河北省电力勘测设计研究院石家庄050031 中国地质大学(武汉)工程学院武汉430074

文章以某库岸滑坡为例,首先利用有限差分法模拟滑坡体各时刻的暂态渗流场,并将计算得到的暂态孔隙水压力分布用于滑坡的极限平衡分析,以探讨不同工况下滑坡体稳定性变化规律。其成果将为库区滑坡治理提供科学依据。

关键词：库水位下降非稳定渗流有限差分库岸滑坡

氮磷添加对不同退耕年限草本植被群落及土壤化学计量特征的影响

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水土保持学报 2017年第2期31卷 333-338页

作者：刘海威张少康焦峰中国科学院水利部水土保持研究所陕西杨凌712100 中国科学院大学北京100049 西北农林科技大学水土保持研究所陕西杨凌712100

采用空间代替时间的方法,根据安塞县纸坊沟小流域8个退耕年限序列(1~35年)的退耕地采样数据进行分析,研究植物群落与土壤化学计量学特征对不同施肥处理的响应程度。结果表明:(1)与未施肥相比,施N肥和施N肥+P肥后,地上生物量分别增加了77... 详细信息

采用空间代替时间的方法,根据安塞县纸坊沟小流域8个退耕年限序列(1~35年)的退耕地采样数据进行分析,研究植物群落与土壤化学计量学特征对不同施肥处理的响应程度。结果表明:(1)与未施肥相比,施N肥和施N肥+P肥后,地上生物量分别增加了77.1%和142.0%。地上生物量对不同施肥处理的响应程度表现为施N肥+P肥组合高于单一添加N肥。(2)与未施肥相比,施N肥后叶片氮、磷含量分别增加了13.6%和0.6%,氮磷比下降了3.8%;施N肥+P肥后叶片氮、磷含量分别增加了15.6%和8.7%,氮磷比下降了15.2%,叶片N、P含量及氮磷比对施N肥+P肥的响应程度均高于单一施N肥。(3)与未施肥相比,施N肥后土壤N、P含量分别增加了27.7%和36.2%,N/P比下降了9.1%;施N肥+P肥后土壤N、P含量分别增加了16.6%和25.0%,N/P比下降了9.1%,土壤N、P含量对施N肥的响应程度略高于施N肥+P肥。总体而言,适当的施肥方式有利于植物对土壤养分的利用和分配。

关键词：草地群落氮磷添加黄土丘陵区土壤化学计量

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机器学习在钢铁材料研究中的应用综述

中国材料进展 2023年第10期42卷 806-813页

作者：王海伟叶波冯晶种晓宇昆明理工大学信息工程与自动化学院云南昆明650500 昆明理工大学云南省人工智能重点实验室云南昆明650500 昆明理工大学材料科学与工程学院云南昆明650093 昆明理工大学材料基因工程重点实验室云南昆明650093

钢铁是当今世界处于核心地位的金属材料,时代的快速发展对钢铁材料的性能有了新的要求。然而目前钢材的设计具有超过百万种元素和工艺参数的组合,通过传统实验试错法进行钢铁材料的设计与研发缓慢而昂贵。机器学习技术已广泛应用于指导... 详细信息

钢铁是当今世界处于核心地位的金属材料,时代的快速发展对钢铁材料的性能有了新的要求。然而目前钢材的设计具有超过百万种元素和工艺参数的组合,通过传统实验试错法进行钢铁材料的设计与研发缓慢而昂贵。机器学习技术已广泛应用于指导材料设计中,成为材料研究的新兴方法和热门领域。对机器学习在钢铁材料研究中的应用进展进行综述,介绍了机器学习的工作流程和常用模型与算法,阐述了机器学习在钢铁材料特征选择、成分-工艺-性能预测、服役行为预测以及逆向设计方面的研究进展。最后,分析了机器学习技术在钢铁材料领域面临的问题并展望了其发展前景。

关键词：钢铁机器学习特征选择性能预测材料设计