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INTERDECADAL VARIABILITY OF QUASI-BIENNIAL OSCILLATION OF STRATOSPHERIC ZONAL WIND
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作者 韩浦城 简茂球 林晓霞 《热带气象学报:英文版》 SCIE 2019年第2期162-170,共9页
This study investigates the interdecadal variability of Quasi-biennial Oscillation(QBO) based on the sounding data in the stratosphere, ERA-40 and ERA-interim reanalysis data in the past 62 years. The QBO periodicity ... This study investigates the interdecadal variability of Quasi-biennial Oscillation(QBO) based on the sounding data in the stratosphere, ERA-40 and ERA-interim reanalysis data in the past 62 years. The QBO periodicity experiences a significant interdecadal variability;the longer(shorter) the mean period, the smaller(larger) the amplitude of variation is. The QBO amplitude varies in a cycle around 10 to 15 years and in an out-of-phase correlation with the period. In addition, there is an increasing trend of the QBO amplitude in 30 to 10 hPa, while a little declining trend in70 to 40 hPa. The deviation of the QBO zonal wind extremum centers from the equator also shows interdecadal variability. The deviation location of the easterly core is generally in the reverse side to the westerly core, which means that when the easterly core is on one side of a hemisphere, the westerly core is on the other side. 展开更多
关键词 statistical FEATURE QBO INTERDECADAL variability ZONAL wind asymmetric FEATURE
Dual-modal Physiological Feature Fusion-based Sleep Recognition Using CFS and RF Algorithm
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作者 Bing-Tao Zhang Xiao-Peng Wang +1 位作者 Yu Shen Tao Lei 《国际自动化与计算杂志:英文版》 EI CSCD 2019年第3期286-296,共11页
Research has demonstrated a significant overlap between sleep issues and other medical conditions.In this paper,we consider mild difficulty in falling asleep(MDFA).Recognition of MDFA has the potential to assist in th... Research has demonstrated a significant overlap between sleep issues and other medical conditions.In this paper,we consider mild difficulty in falling asleep(MDFA).Recognition of MDFA has the potential to assist in the provision of appropriate treatment plans for both sleep issues and related medical conditions.An issue in the diagnosis of MDFA lies in subjectivity.To address this issue,a decision support tool based on dual-modal physiological feature fusion which is able to automatically identify MDFA is proposed in this study.Special attention is given to the problem of how to extract candidate features and fuse dual-modal features.Following the identification of the optimal feature set,this study considers the correlations between each feature and class and evaluates correlations between the inter-modality features.Finally,the recognition accuracy was measured using 10-fold cross validation.The experimental results for our method demonstrate improved performance.The highest recognition rate of MDFA using the optimal feature set can reach 96.22%.Based on the results of current study,the authors will,in projected future research,develop a real-time MDFA recognition system. 展开更多
关键词 FEATURE fusion mild DIFFICULTY in FALLING asleep(MDFA) decision support tool SLEEP issues optimal FEATURE set
Improved Qualitative Trajectory Calculus for Pair-Activity Analysis 预览
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作者 Shengsheng Wang Guangyao Wang +1 位作者 Yungang Zhu Jingwen Shao 《北京理工大学学报:英文版》 EI CAS 2019年第2期318-326,共9页
Trajectory provides the most robust feature for activity recognition in far-field surveillance videos,in which increasing attentions have been given to the use of qualitative methods with symbolic rather than real-val... Trajectory provides the most robust feature for activity recognition in far-field surveillance videos,in which increasing attentions have been given to the use of qualitative methods with symbolic rather than real-value features.Qualitative trajectory calculus(QTC)showed a good performance in pair-activity from video.However,QTC and similar works are not good at dealing with noise,since they are all considering short-term features.To deal with the problems mentioned above,two types of long-term features,including sub-trajectory feature and point-trajectory feature,are designed.The sub-trajectory feature is a long-term feature in a coarse granularity,while the point-trajectory feature is a long-term feature in a relatively fine granularity.Using the sub-trajectory feature,a couple of trajectories are segmented into sub-trajectories and enveloping boxes are used to substitute the original sub-trajectory for capturing the major attributes.The point-trajectory feature describes the relationship between a single point in one trajectory and all parts of the other trajectory.The experiments on the human activity classification data demonstrated that our proposed methods are better than the original QTC and previous short-term features. 展开更多
关键词 pair-activity analysis qualitative TRAJECTORY CALCULUS sub-trajectory FEATURE point-trajectory FEATURE
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中央苏区红色漫画基本特征论析 预览
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作者 刘菊芳 《井冈山大学学报:社会科学版》 2019年第2期51-57,共7页
中央苏区红色漫画伴随苏区革命斗争而产生,在党和苏维埃政府高度重视和直接领导下,逐渐发展成为革命斗争的锐利武器。中央苏区红色漫画是苏区军民在革命战争实践中的一种创举,是中国共产党领导的文化建设的开端。在苏区革命情境下,漫画... 中央苏区红色漫画伴随苏区革命斗争而产生,在党和苏维埃政府高度重视和直接领导下,逐渐发展成为革命斗争的锐利武器。中央苏区红色漫画是苏区军民在革命战争实践中的一种创举,是中国共产党领导的文化建设的开端。在苏区革命情境下,漫画作为革命机器的一部分,其基本特征是鲜明的阶级性与政治性、强烈的实践性与战斗性、显著的大众性与地域性。 展开更多
关键词 中央苏区 漫画 特征
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基于特征和量值为变量时错误识别对象状态转化及其决策应用研究
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作者 周小平 闵惜琳 《模糊系统与数学》 北大核心 2019年第2期147-154,共8页
文中研究了空间,论域,事物为确定常量的条件下,特征和量值参数为变量且未知时,错误识别对象状态的转化。研究发现,当对象识别状态的特征和量值为Ⅱ类时,可以采用错误矩阵一类4集合方程As ∨ Xqg∈Bg构建二元置换变换错误矩阵集合方程,... 文中研究了空间,论域,事物为确定常量的条件下,特征和量值参数为变量且未知时,错误识别对象状态的转化。研究发现,当对象识别状态的特征和量值为Ⅱ类时,可以采用错误矩阵一类4集合方程As ∨ Xqg∈Bg构建二元置换变换错误矩阵集合方程,将错误的对象识别状态转化为应该状态。最后,通过实例说明其实际决策应用价值。 展开更多
关键词 特征 量值 错误逻辑变量 对象状态 转化
Android恶意软件检测方法研究综述 预览
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作者 李江华 邱晨 《计算机应用研究》 CSCD 北大核心 2019年第1期1-7,共7页
基于Android系统恶意软件检测的全流程,对比和分析了国内外的研究现状和进展,从样本获取的角度介绍了标准化数据样本的来源及作用,从特征选择的角度阐述了特征选择应遵循的原则;重点从检测方法的角度对比和分析了各种检测方法的优缺点,... 基于Android系统恶意软件检测的全流程,对比和分析了国内外的研究现状和进展,从样本获取的角度介绍了标准化数据样本的来源及作用,从特征选择的角度阐述了特征选择应遵循的原则;重点从检测方法的角度对比和分析了各种检测方法的优缺点,同时总结和归纳了特征数据集筛选方法以及实验结果评估方法。最后结合实际应用和需求,展望了未来Android恶意软件检测方法的研究和发展方向。 展开更多
关键词 恶意软件检测 特征 机器学习 混淆矩阵
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江西崇义县楼梯石沟泥石流特征及成因研究 预览
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作者 吴雨夫 《江西科学》 2019年第2期251-253,286共4页
楼梯石沟位于章江源头江西省崇义县聂都乡境内,为典型降雨型泥石流沟谷。该沟于2009年7月3日晨暴发泥石流灾害,堆积方量约5.14×10^4m^3,造成直接经济损失约100万元。通过对楼梯石泥石流沟流域地形条件、物源条件及水源条件的特征分... 楼梯石沟位于章江源头江西省崇义县聂都乡境内,为典型降雨型泥石流沟谷。该沟于2009年7月3日晨暴发泥石流灾害,堆积方量约5.14×10^4m^3,造成直接经济损失约100万元。通过对楼梯石泥石流沟流域地形条件、物源条件及水源条件的特征分析,得出该沟形成泥石流的条件充分:1)主沟平均纵比降126‰,相对高差759.3m,易发生浅层滑坡的山体(表面坡度25~45°)面积较大,约1.63km^2;2)泥石流松散固体物源主要为浅层滑坡堆积体,总方量达26.15×10^4m^3。楼梯石沟“7·3”泥石流为浅层滑坡启动类型,大量滑坡体进入沟道后被洪水启动形成泥石流。预测在50年一遇或大于50年一遇的强降雨条件下,楼梯石沟还可能发生新的泥石流。 展开更多
关键词 崇义 泥石流 特征 降雨 成因机制
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打印添改文件的特征与检验 预览
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作者 余汶潞 《教育信息化论坛》 2019年第5期55-57,共3页
随着社会经济的发展,通过变造方式修改原始文件的案件越来越多。本文旨在探索打印添改文件的特征,重在研究打印添改文件的判断依据和认定原则,并列举出打印添改文件的类型及其检验方法,为实际工作提供科学依据和思路。
关键词 打印文件 添加打印 特征 检验
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CATIRI:An Efficient Method for Content-and-Text Based Image Retrieval
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作者 Mengqi Zeng Bin Yao +5 位作者 Zhi-Jie Wang Yanyan Shen Feifei Li Jianfeng Zhang Hao Lin Minyi Guo 《计算机科学技术学报:英文版》 SCIE EI CSCD 2019年第2期287-304,共18页
The combination of visual and textual information in image retrieval remarkably alleviates the semantic gap of traditional image retrieval methods,and thus it has attracted much attention recently.Image retrieval base... The combination of visual and textual information in image retrieval remarkably alleviates the semantic gap of traditional image retrieval methods,and thus it has attracted much attention recently.Image retrieval based on such a combination is usually called the content-and-text based image retrieval(CTBIR).Nevertheless,existing studies in CTBIR mainly make efforts on improving the retrieval quality.To the best of our knowledge,little attention has been focused on how to enhance the retrieval efficiency.Nowadays,image data is widespread and expanding rapidly in our daily life.Obviously,it is important and interesting to investigate the retrieval efficiency.To this end,this paper presents an efficient image retrieval method named CATIRI(content-and-text based image retrieval using indexing).CATIRI follows a three-phase solution framework that develops a new indexing structure called MHIM-tree.The MHIM-tree seamlessly integrates several elements including Manhattan Hashing,Inverted index,and M-tree.To use our MHIM-tree wisely in the query,we present a set of important metrics and reveal their inherent properties.Based on them,we develop a top-k query algorithm for CTBIR.Experimental results based on benchmark image datasets demonstrate that CATIRI outperforms the competitors by an order of magnitude. 展开更多
关键词 image RETRIEVAL text-and-visual feature INDEXING TOP-K
航空物流运输的碳排放特征动态演化数值模拟分析研究 预览
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作者 王吉寅 《环境科学与管理》 CAS 2019年第4期50-54,共5页
基于KAYA等式构建航空物流运输时碳排放影响因素分解模型,在航空物流运输的碳排放特征动态演化数值模拟分析中,将碳排放量作为对象,分析不同参数下碳排放量动态演化形式:根据EKC曲线定性讨论运输过程中碳排放量动态演化阶段性质;将坡度... 基于KAYA等式构建航空物流运输时碳排放影响因素分解模型,在航空物流运输的碳排放特征动态演化数值模拟分析中,将碳排放量作为对象,分析不同参数下碳排放量动态演化形式:根据EKC曲线定性讨论运输过程中碳排放量动态演化阶段性质;将坡度系数设置为10%,在不同最大速度值和不同驾驶员敏感系数下实行数值模拟,得到行驶距离与碳排放量之间的关系。经数值模拟可知,航空运输时驶入上行或下行的空中之前最大行驶速度对于运输时的碳排放数量影响较大,驾驶员敏感系数为2s^-1时,航空物流运输的平均排碳量较小。 展开更多
关键词 航空物流 碳排放 特征 动态演化 数值模拟
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A Deep Adaptive Learning Method for Rolling Bearing Fault Diagnosis Using Immunity
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作者 Yuling Tian Xiangyu Liu 《清华大学学报自然科学版(英文版)》 EI CAS CSCD 2019年第6期750-762,共13页
The extraction of rolling bearing fault features using traditional diagnostic methods is not sufficiently comprehensive and the features are often chosen subjectively and depend on human experience. In this paper, an ... The extraction of rolling bearing fault features using traditional diagnostic methods is not sufficiently comprehensive and the features are often chosen subjectively and depend on human experience. In this paper, an improved deep convolutional process is used to extract a set of features adaptively. The hidden multi-layer feature of deep convolutional neural networks is also exploited to improve the extraction features. A deterministic detection of low-confidence samples is performed to ensure the reliability of the recognition results and to decrease the rate of false positives by evaluating the diagnosis of the deep convolutional neural network. To improve the efficiency of the continuous learning elements of the rolling bearing fault diagnosis, a clone learning strategy based on cloning and mutation operations is proposed. The experimental results show that the proposed deep convolutional neural network model can extract multiple rolling bearing fault features, improve classification and detection accuracy by reducing the false positive rate when diagnosing rolling bearing faults, and accelerate learning efficiency when using low-confidence rolling bearing fault samples. 展开更多
关键词 DEEP learning FAULT diagnosis FEATURE extraction CLONE selection strategy
Lost in Tradition
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作者 Ji Jing 《北京周报:英文版》 2019年第20期44-45,共2页
Jinpa, the sixth feature film by Tibetan director Pema Tseden, hit the screen on April 26, two days after U.S. superhero film Avengers: Endgame premiered in China. It bagged a box office income of over 10 million yuan... Jinpa, the sixth feature film by Tibetan director Pema Tseden, hit the screen on April 26, two days after U.S. superhero film Avengers: Endgame premiered in China. It bagged a box office income of over 10 million yuan ($1.47 million) as of May 8 with an audience of 300,000. 展开更多
关键词 sixth FEATURE FILM DIRECTOR Pema Tseden superhero FILM Avengers
FAAD:an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream
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作者 Bin Li Yi-jie WANG +2 位作者 Dong-sheng YANG Yong-mou LI Xing-kong MA 《信息与电子工程前沿:英文版》 SCIE EI CSCD 2019年第3期388-404,共17页
Recently, sequence anomaly detection has been widely used in many fields. Sequence data in these fields are usually multi-dimensional over the data stream. It is a challenge to design an anomaly detection method for a... Recently, sequence anomaly detection has been widely used in many fields. Sequence data in these fields are usually multi-dimensional over the data stream. It is a challenge to design an anomaly detection method for a multi-dimensional sequence over the data stream to satisfy the requirements of accuracy and high speed. It is because:(1) Redundant dimensions in sequence data and large state space lead to a poor ability for sequence modeling;(2) Anomaly detection cannot adapt to the high-speed nature of the data stream, especially when concept drift occurs, and it will reduce the detection rate. On one hand, most existing methods of sequence anomaly detection focus on the single-dimension sequence. On the other hand, some studies concerning multi-dimensional sequence concentrate mainly on the static database rather than the data stream. To improve the performance of anomaly detection for a multi-dimensional sequence over the data stream, we propose a novel unsupervised fast and accurate anomaly detection(FAAD) method which includes three algorithms. First, a method called "information calculation and minimum spanning tree cluster" is adopted to reduce redundant dimensions. Second, to speed up model construction and ensure the detection rate for the sequence over the data stream, we propose a method called"random sampling and subsequence partitioning based on the index probabilistic suffix tree." Last, the method called "anomaly buffer based on model dynamic adjustment" dramatically reduces the effects of concept drift in the data stream. FAAD is implemented on the streaming platform Storm to detect multi-dimensional log audit data.Compared with the existing anomaly detection methods, FAAD has a good performance in detection rate and speed without being affected by concept drift. 展开更多
关键词 Data STREAM MULTI-DIMENSIONAL SEQUENCE ANOMALY detection Concept DRIFT Feature selection
中医脉冲信号特征盲提取算法设计 预览
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作者 谭强 《计算机仿真》 北大核心 2019年第4期129-132,145共5页
针对中医脉冲信号特征在混叠噪声信号中提取时存在盲源分离性能较差、均方误差较大,收敛性能不佳的问题,提出并设计了基于人工蜂群算法的中医脉冲信号特征盲提取算法,该算法对传感器阵列捕获的所有中医脉冲观测信号做中心化处理和白化处... 针对中医脉冲信号特征在混叠噪声信号中提取时存在盲源分离性能较差、均方误差较大,收敛性能不佳的问题,提出并设计了基于人工蜂群算法的中医脉冲信号特征盲提取算法,该算法对传感器阵列捕获的所有中医脉冲观测信号做中心化处理和白化处理,利用互信息和信息熵的关系,计算得到预处理后中医脉冲信号特征提取代价函数,并将串音误差作为中医脉冲信号特征盲分离性能度量指标;在此基础上,按照人工蜂群算法中引领蜂搜索-跟随蜂搜索-侦察蜂搜索步骤求解中医脉冲信号特征提取代价函数以获得最佳分离向量,实现中医脉冲信号特征盲提取。仿真对比结果表明,提出算法克服了当前算法盲源分离性能较差、均方误差较大,收敛性能不佳的问题。 展开更多
关键词 中医脉冲信号 特征 盲提取 人工蜂群算法
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Anchor-based manifold binary pattern for finger vein recognition
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作者 Haiying LIU Gongping YANG +2 位作者 Lu YANG Kun SU Yilong YIN 《中国科学:信息科学(英文版)》 SCIE EI CSCD 2019年第5期129-144,共16页
This paper proposes a novel learning method of binary local features for recognition of the finger vein. The learning methods existing in local features for image recognition intend to maximize the data variance, redu... This paper proposes a novel learning method of binary local features for recognition of the finger vein. The learning methods existing in local features for image recognition intend to maximize the data variance, reduce quantitative errors, exploit the contextual information within each binary code, or utilize the label information, which all ignore the local manifold structure of the original data. The manifold structure actually plays a very important role in binary code learning, but constructing a similarity matrix for large-scale datasets involves a lot of computational and storage cost. The study attempts to learn a map, which can preserve the manifold structure between the original data and the learned binary codes for large-scale situations. To achieve this goal, we present a learning method using an anchor-based manifold binary pattern(AMBP) for finger vein recognition. Specifically, we first extract the pixel difference vectors(PDVs) in the local patches by calculating the differences between each pixel and its neighbors. Second,we construct an asymmetric graph, on which each data point can be a linear combination of its K-nearest neighbor anchors, and the anchors are randomly selected from the training samples. Third, a feature map is learned to project these PDVs into low-dimensional binary codes in an unsupervised manner, where(i) the quantization loss between the original real-valued vectors and learned binary codes is minimized and(ii) the manifold structure of the training data is maintained in the binary space. Additionally, the study fuses the discriminative binary descriptor and AMBP methods at the image representation level to further boost the performance of the recognition system. Finally, experiments using the MLA and PolyU databases show the effectiveness of our proposed methods. 展开更多
关键词 FINGER VEIN recognition feature LEARNING local linear EMBEDDING fusion MANIFOLD LEARNING ANCHOR
南戏留存剧目检讨 预览
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作者 包建强 《温州大学学报:社会科学版》 2019年第1期19-25,共7页
南戏于北宋末诞生,在民间盛行不衰。元末上层文人措手南戏,明中叶被雅化的南戏进入上层社会称为传奇,至此南戏于雅、俗两途并行。晚清花部繁兴,南戏进入地方戏。留存于诸地方戏中的南戏剧目出现折数与剧情递减、剧中主角转移、娱人特性... 南戏于北宋末诞生,在民间盛行不衰。元末上层文人措手南戏,明中叶被雅化的南戏进入上层社会称为传奇,至此南戏于雅、俗两途并行。晚清花部繁兴,南戏进入地方戏。留存于诸地方戏中的南戏剧目出现折数与剧情递减、剧中主角转移、娱人特性增强、多种南戏关目情节相揉合等特征。 展开更多
关键词 南戏 留存剧目 特征
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南朝陈县级封国地理与置省原因探微 预览
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作者 程刚 《山西大同大学学报:社会科学版》 2019年第3期35-42,65共9页
南朝陈县级封国以陈武帝永定三年、文帝天康元年、宣帝太建七年、后主祯明二年为断限可分为三个时期。整体来看,江广湘三州所置县级封国最多,其中广州的政治地位发生巨大变化,使陈朝政治结构呈"扬、广对立"的态势。此外,宗室... 南朝陈县级封国以陈武帝永定三年、文帝天康元年、宣帝太建七年、后主祯明二年为断限可分为三个时期。整体来看,江广湘三州所置县级封国最多,其中广州的政治地位发生巨大变化,使陈朝政治结构呈"扬、广对立"的态势。此外,宗室成员所封国除陈胤外,均置于江湘丰三州。与之不同,非宗室成员封国则分布范围较广,反映南北相形之下,陈势力日衰,宗室亦日趋于软弱。此外,陈初出于稳定政局所需,导致地方蛮族洞主的封国仅次于宗室。然待政权稍为安定,武帝尤其文帝便渐渐去之。宣帝为消除篡位的恶名及树立威望,且需解决国防问题,使得拥立和立有军功者多得封国。后主时封国的设置主要来自于护持后主和降等绍封者。而后主降等绍封原功勋大臣之后,当是其希图获得功臣势力集团支持的善政之一。 展开更多
关键词 县级封国 地理分布 特点 设置 废省
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Comparative analysis of C-type lectin domain proteins in the ghost moth, Thitarodes xiaojinensis (Lepidoptera: Hepialidae)
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作者 Qian Meng Ji-Hong Zhang +5 位作者 Huan Zhang Gui-Ling Zhou Ruo-Yao Ni Yan-Ni Zhao Qi-Lian Qin Zhen Zou 《昆虫科学:英文版》 SCIE CAS CSCD 2019年第3期453-465,共13页
Insects have a large family of C-type lectins involved in cell adhesion, pathogen recognition and activation of immune responses. In this study, 32 transcripts encoding C-type lectin domain proteins (CTLDPs) were iden... Insects have a large family of C-type lectins involved in cell adhesion, pathogen recognition and activation of immune responses. In this study, 32 transcripts encoding C-type lectin domain proteins (CTLDPs) were identified from the Thitarodes xiaojinensis transcriptome. According to their domain structures, six CTLDPs with one carbohydraterecognition domain (CRD) were classified into the CTL-S subfamily. The other 23 CTLDPs with two CRDs were grouped into the immulectin (IML) subfamily. The remaining three with extra regulatory domains were sorted into the CTL-X subfamily. Phylogenetic analysis showed that CTL-S and CTL-X members from different insects could form orthologous groups. In contrast, no T. xiaojinensis IML orthologues were found in other insects. Remarkable lineage-specific expansion in this subfamily was observed reflecting that these CTLDPs, as important receptors, have evolved diversified members in response to a variety of microbes. Prediction of binding ligands revealed that T. xiaojinensis, a coldadapted species, conserved the ability of CRDs to combine with Ca^2+ to keep its receptors from freezing. Comparative analysis of induction of CTLDP genes after different immune challenges indicated that IMLs might play critical roles in immune defenses. This study examined T. xiaojinensis CTLDPs and provides a basis for further studies of their characteristics. 展开更多
关键词 binding ligand carbohydrate-recognition DOMAIN C-type LECTIN DOMAIN protein expression PROFILING PHYLOGENETIC feature Thitarodes xiaojinensis
Robust RGB-D Camera and IMU Fusion-based Cooperative and Relative Close-range Localization for Multiple Turtle-inspired Amphibious Spherical Robots
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作者 Huiming Xing Liwei Shi +5 位作者 Kun Tang Shuxiang Guo Xihuan Hou Yu Liu Huikang Liu Yao Hu 《仿生工程学报:英文版》 SCIE EI CSCD 2019年第3期442-454,共13页
In the narrow, submarine, unstructured environment, the present localization approaches, such as GPS measurement, dead?rcckoning, acoustic positioning, artificial landmarks-based method, are hard to be used for multip... In the narrow, submarine, unstructured environment, the present localization approaches, such as GPS measurement, dead?rcckoning, acoustic positioning, artificial landmarks-based method, are hard to be used for multiple small-scale underwater robots. Therefore, this paper proposes a novel RGB-D camera and Inertial Measurement Unit (IMU) fusion-based cooperative and relative close-range localization approach for special environments, such as underwater caves. Owing to the rotation movement with zero-radius, the cooperative localization of Multiple Turtle-inspired Amphibious Spherical Robot (MTASRs) is realized. Firstly, we present an efficient Histogram of Oriented Gradient (HOG) and Color Names (CNs) fusion feature extracted from color images ofTASRs. Then, by training Support Vector Machine (SVM) classifier with this fusion feature, an automatic recognition method of TASRs is developed. Secondly, RGB-D camerabased measurement model is obtained by the depth map In order to realize the cooperative and relative close-range localization of MTASRs, the MTASRs model is established with RGB-D camera and IMU. Finally, the depth measurement in water is corrected and the efficiency of RGB-D camera for underwater application is validated. Then experiments of our proposed localization method with three robots were conducted and the results verified the feasibility of the proposed method for MTASRs. 展开更多
关键词 vision LOCALIZATION bio-inspired robots RGB-D CAMERA histogram of oriented gradient and color names FUSION feature Co operative and RELATIVE LOCALIZATION (CRL)
Micro-Doppler Parameter Estimation Method Based on Compressed Sensing 预览
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作者 Jiayun Chang Xiongjun Fu +1 位作者 Wen Jiang Min Xie 《北京理工大学学报:英文版》 EI CAS 2019年第2期286-295,共10页
A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper.The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this ... A micro-Doppler parameter estimation method based on compressed sensing theory is proposed in this paper.The micro-Doppler parameter estimation algorithm was improved for micro-motion targets with translation in this paper.Relatively ideal micro-Doppler parameter estimation results were obtained.The proposed micro-Doppler parameter estimation was compared with the traditional micro-Doppler parameter estimation algorithm.Requirements for return signal length were analyzed with this new algorithm and its performance was also analyzed in various environments with different SNR. 展开更多
关键词 FEATURE EXTRACTION compressed SENSING MICRO-DOPPLER PARAMETER ESTIMATION
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