{"currentpage":1,"firstResult":0,"maxresult":10,"pagecode":5,"pageindex":{"endPagecode":5,"startPagecode":1},"records":[{"abstractinfo":"为了提高光电跟踪系统的稳定性和自主跟踪能力,对多传感器数据融合算法和数据的有效性估计进行研究,提出一种多传感器自主跟踪算法.首先按照统计学方法,实时估计各传感器数据的误差协方差.然后按照均方误差最小准则,对各路数据进行融合.将最小二乘多项式拟合法和记忆衰减因子应用到误差协方差估计中,提高了融合结果的可信度.最后,提出一种多传感器跟踪数据切换策略,自动选择有效传感器数据中置信度最高、跟踪效果最优的一路数据,从而实现自主稳定跟踪的目的.实验结果表明,使用改进后的数据融合算法比原始方法的最终传感器选择结果正确率提高37.5%左右.在几种典型的传感器数据异常情况下,该数据融合算法和多路数据切换策略能够完成自主跟踪的目的.","authors":[{"authorName":"单海蛟","id":"2ef5cd7f-3f24-4f02-bc8e-d4f8df9724f4","originalAuthorName":"单海蛟"},{"authorName":"刘伟宁","id":"7ccb1dcc-ecdf-4d6e-ba03-c870f3ddcac4","originalAuthorName":"刘伟宁"},{"authorName":"王嘉成","id":"b5d3854f-a6e2-4bd4-b05a-248eed5a22e7","originalAuthorName":"王嘉成"},{"authorName":"刘培勋","id":"d377bab9-9cef-42de-aa9d-248fdbdb9241","originalAuthorName":"刘培勋"},{"authorName":"李治根","id":"36ec7273-01ef-4fbe-a1a9-9a195d531dd2","originalAuthorName":"李治根"},{"authorName":"邓耀华","id":"7e741f34-275f-4ec0-9152-07355f3f10a3","originalAuthorName":"邓耀华"}],"doi":"10.3788/YJYXS20163108.0801","fpage":"801","id":"3d649d8c-15aa-4380-b9d9-5ffb33af737a","issue":"8","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"a0efeaa1-f8a0-41b0-a13b-263faef7680f","keyword":"多传感器","originalKeyword":"多传感器"},{"id":"d08ee0c6-85bf-4fba-9f33-d75af1724597","keyword":"数据融合","originalKeyword":"数据融合"},{"id":"030e9858-4509-4d77-9592-5004a4e6df07","keyword":"自主跟踪","originalKeyword":"自主跟踪"},{"id":"0fbddc20-d0ae-4994-9125-c42f3e8dedde","keyword":"误差协方差估计","originalKeyword":"误差协方差估计"}],"language":"zh","publisherId":"yjyxs201608011","title":"多传感器自主跟踪中的数据融合方法","volume":"31","year":"2016"},{"abstractinfo":"本文根据统计学中的最小均方差估计理论推导出非线性的IEM(NLIEM)模型公式,并综合实验数据确定了模型系数.这个模型考虑了标量场大尺度运动非均匀性,Re数以及Sc数对混合速率的影响.最后分别利用NLIEM和IEM模型对H2/空气湍流射流扩散火焰进行了计算,与实验结果的比较表明新模型有较大的优越性.","authors":[{"authorName":"李艺","id":"65d32d18-429c-4ac0-9dc0-b024d9bfb015","originalAuthorName":"李艺"},{"authorName":"陈义良","id":"7710930b-5f3a-4517-9bf2-6e00a6b02831","originalAuthorName":"陈义良"}],"doi":"","fpage":"261","id":"93e03490-6dfb-4480-a6b8-9bdc0979ec06","issue":"2","journal":{"abbrevTitle":"GCRWLXB","coverImgSrc":"journal/img/cover/GCRWLXB.jpg","id":"32","issnPpub":"0253-231X","publisherId":"GCRWLXB","title":"工程热物理学报 "},"keywords":[{"id":"67e5b003-6c1b-43f4-bda1-6c6d6c9fad79","keyword":"非线性IEM模型","originalKeyword":"非线性IEM模型"},{"id":"9bebdc70-7c96-40a7-9ddd-fc71fb84ed6a","keyword":"最小均方差估计","originalKeyword":"最小均方差估计"},{"id":"84c6fc71-3430-4722-a440-52c02e563935","keyword":"湍流射流扩散火焰","originalKeyword":"湍流射流扩散火焰"}],"language":"zh","publisherId":"gcrwlxb200202037","title":"基于最小均方差估计的非线性IEM模型","volume":"23","year":"2002"},{"abstractinfo":"结合三维编织复合材料制造工艺,提出了利用碳纳米线传感器对三维编织复合材料试件缺陷检测的应用方法。论述了碳纳米线传感器嵌入三维编织复合材料预制件的方式,分析了碳纳米线传感器的力学特性。分析了编织角对嵌入碳纳米线传感器的影响。系统使用传统的应变放大器测量电阻变化。最后,应用响应面法对实验结果进行统计分析。实验表明,本实验的研究方法成功地实现了三维编织复合材料内部缺陷位置和大小的估计。","authors":[{"authorName":"万莉","id":"8310982c-4b79-4082-a643-18ac7077f7e9","originalAuthorName":"万莉"},{"authorName":"马永军","id":"8f3b6edd-d978-4b37-96c4-c0f9eaf156f2","originalAuthorName":"马永军"},{"authorName":"李静东","id":"6a6900f2-6bf6-4605-87ad-86afce9e93f9","originalAuthorName":"李静东"}],"doi":"","fpage":"88","id":"79ebee47-4d29-45a8-bb6f-5fb123d002dd","issue":"1","journal":{"abbrevTitle":"HCCLLHYYY","coverImgSrc":"journal/img/cover/HCCLLHYYY.jpg","id":"42","issnPpub":"1671-5381","publisherId":"HCCLLHYYY","title":"合成材料老化与应用"},"keywords":[{"id":"78ae7d67-9e4e-4dd7-a73d-a5b6233fc964","keyword":"三维编织复合材料","originalKeyword":"三维编织复合材料"},{"id":"093dd943-af00-4f58-8d97-63e694c359bd","keyword":"碳纳米线","originalKeyword":"碳纳米线"},{"id":"42d68418-c09c-451d-aa33-7420f995ea34","keyword":"拉伸电阻变化","originalKeyword":"拉伸电阻变化"},{"id":"fef53a8e-9169-4916-b1ba-ba2be773a1ca","keyword":"响应面","originalKeyword":"响应面"},{"id":"9243376f-2752-412f-80ef-5813a1ad9226","keyword":"误差估计","originalKeyword":"误差估计"}],"language":"zh","publisherId":"hccllhyyy2015010024","title":"基于碳纳米传感器的复合材料内部缺陷测量及误差估计?","volume":"","year":"2015"},{"abstractinfo":"为了分析液晶光谱偏振系统的方位误差并降低测量误差,提出了选偏器方位误差的分析方法。该方法基于 Stokes矢量及 Mueller 矩阵,将偏振角的方位误差转化为 Stokes 矢量传递误差,推导了误差的协方差矩阵,分析了权重系数与延迟相位的变化关系,并对不同偏振态入射光条件下的品质因数变化进行了计算仿真。方位误差依赖于入射光 Stokes参数与延迟相位,不同偏振态的入射光品质因数随延迟相位成抛物线变化。当延迟相位位于[60°,120°]区间内,选偏器的方位误差较小,测量误差较小适宜测量。通过对液晶偏振光谱系统配准误差的研究,获得误差来源,为进一步提高系统测量精度奠定了理论基础。","authors":[{"authorName":"甘世奇","id":"da0ae095-ee86-4586-9688-6f5e47900ba1","originalAuthorName":"甘世奇"},{"authorName":"陈向宁","id":"90480d86-2c78-4f8e-a76f-5b4e018140b2","originalAuthorName":"陈向宁"},{"authorName":"薛俊诗","id":"8449801a-68b3-4085-8a5c-1c7e39656b62","originalAuthorName":"薛俊诗"},{"authorName":"赵融生","id":"24baf5b2-7d1d-4a39-b712-0562b826dfd1","originalAuthorName":"赵融生"}],"doi":"10.3788/YJYXS20163108.0748","fpage":"748","id":"b1b8ea3e-273c-472c-af6f-23f583d7de93","issue":"8","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"244cd9b3-f1ed-45d5-8771-9fd4ae723d97","keyword":"方位误差","originalKeyword":"方位误差"},{"id":"e1093fae-2162-4312-b29b-89ed595bcb03","keyword":"液晶偏振光谱系统","originalKeyword":"液晶偏振光谱系统"},{"id":"4eb83f9c-d654-490a-849c-4c6534d85650","keyword":"协方差矩阵","originalKeyword":"协方差矩阵"},{"id":"0e14f337-119b-4f6e-953d-d2aa9e44eddd","keyword":"Stokes 矢量","originalKeyword":"Stokes 矢量"}],"language":"zh","publisherId":"yjyxs201608003","title":"液晶光谱偏振系统选偏器方位误差研究","volume":"31","year":"2016"},{"abstractinfo":"根据最小方差预测理论, 提出了用最小方差预测 法预测岩土工程变形, 对其建模机 理和准则进行了论述, 并对预测模型的优化方法进行了研究和探讨。 在实际应用中, 将 最小方差预测法与其它预 测方法进行了比较。 结果表明, 该方法建模简便, 计算简单, 模型更 新优化快, 能取得较高的预测精度。","authors":[{"authorName":"王国辉","id":"4c6ac675-504c-48f5-aafd-aaf2f8d15b70","originalAuthorName":"王国辉"},{"authorName":"马莉","id":"72310b03-ad63-43fc-974b-6577fcc2cf59","originalAuthorName":"马莉"},{"authorName":"杨腾峰","id":"a890afa5-5bd8-4aea-8973-8e545145e319","originalAuthorName":"杨腾峰"},{"authorName":"侯永会","id":"3f4da4a8-ace0-484e-bf2b-cf47460715a7","originalAuthorName":"侯永会"},{"authorName":"李卫国","id":"82c4cda5-c015-4d29-9e63-3df0471b1256","originalAuthorName":"李卫国"}],"doi":"","fpage":"162","id":"55d54030-2332-40d2-8069-ec7396cfbeec","issue":"1","journal":{"abbrevTitle":"ZGYSJSXB","coverImgSrc":"journal/img/cover/ZGYSJSXB.jpg","id":"88","issnPpub":"1004-0609","publisherId":"ZGYSJSXB","title":"中国有色金属学报"},"keywords":[{"id":"420170d5-c300-479c-871c-47e925e63545","keyword":"最小方差预测","originalKeyword":"最小方差预测"},{"id":"f19306ef-ebad-40b4-affa-7007550d684e","keyword":"变形预测","originalKeyword":"变形预测"},{"id":"856f63d2-9358-4c66-8416-93da210cf25a","keyword":"模型优化","originalKeyword":"模型优化"}],"language":"zh","publisherId":"zgysjsxb200101036","title":"最小方差预测法预测岩土工程变形","volume":"11","year":"2001"},{"abstractinfo":"模糊图像复原是安防监控领域的一项重要技术,为提高模糊方向的估计准确度从而提高复原清晰度,对模糊图像的频谱分析、方向提取以及干扰抑制等方法进行研究.通过频谱图细化分块消除由边缘截断效应导致的十字亮线干扰.通过Radon变换归一化降低该算法固有的对角线干扰.最后,修正频谱图中条纹倾斜角度与模糊方向的偏差,以提高任意高宽比图像模糊方向的估计准确度.实验结果表明,避免了模糊方向估计曲线在0°、90°、45°(135°)方向出现干扰峰值,在非对角线方向能较准确地估计模糊方向,误差约4~6°.能有效抑制十字亮线干扰和对角线干扰,且适用于任意高宽比图像.","authors":[{"authorName":"吴海滨","id":"f34e9865-ca0d-4ea2-bcac-2acd621d1d66","originalAuthorName":"吴海滨"},{"authorName":"刘超","id":"265b68a0-bbce-4ae9-9b2a-d99655b3dc68","originalAuthorName":"刘超"},{"authorName":"于晓洋","id":"cc4f5bd3-e00a-4e57-a7e9-fca007f141fc","originalAuthorName":"于晓洋"},{"authorName":"孙晓明","id":"1c907d3c-44f6-4b77-b810-232491fd2cad","originalAuthorName":"孙晓明"},{"authorName":"胡丽娟","id":"2bef91fe-6e75-4f89-bb1d-ba5da2d482c8","originalAuthorName":"胡丽娟"}],"doi":"10.3788/YJYXS20142904.0580","fpage":"580","id":"1b8842cf-7a78-429c-b0bb-af3ccf10f5b6","issue":"4","journal":{"abbrevTitle":"YJYXS","coverImgSrc":"journal/img/cover/YJYXS.jpg","id":"72","issnPpub":"1007-2780","publisherId":"YJYXS","title":"液晶与显示 "},"keywords":[{"id":"d97d0da8-15e6-4b72-b34f-11644cb79278","keyword":"视频监控","originalKeyword":"视频监控"},{"id":"452b5f0a-8f43-4eab-a40e-81ec4c1efad9","keyword":"运动模糊","originalKeyword":"运动模糊"},{"id":"2ce91801-6ad8-4632-bb1c-9a1867f4ba32","keyword":"模糊方向估计","originalKeyword":"模糊方向估计"},{"id":"86f5a635-15f0-4b22-aaec-66e3b6d89993","keyword":"归一化Radon变换","originalKeyword":"归一化Radon变换"}],"language":"zh","publisherId":"yjyxs201404019","title":"视频监控图像的运动模糊方向估计","volume":"29","year":"2014"},{"abstractinfo":"应用正交实验方差分析研究了高压铝电解电容器用铝箔电解扩面腐蚀时,发孔腐蚀液中H2SO4浓度、HCl浓度、温度、电解电流密度和电解腐蚀时间对铝箔腐蚀扩面效果的影响;采用扫描电镜观测和极化曲线测试研究了发孔腐蚀液中H2SO4浓度变化对腐蚀铝箔表面形貌、横截面形貌以及电蚀发孔点蚀能力的影响.结果表明:腐蚀液中H2SO4浓度是最重要的影响因素,随着H2SO4浓度的增加,极化曲线上点蚀电流密度减小、发孔密度降低、隧道孔长度减小、并孔程度减轻,在本研究范围内,较佳的腐蚀工艺条件为:盐酸浓度1.4 mol·L-1、硫酸浓度3.2 mol· L-1、温度73℃、电流密度0.30 A·cm-2、时间50 s.","authors":[{"authorName":"朱淑芹","id":"51b01de1-c38a-4a1b-878b-6f2ae77b2a38","originalAuthorName":"朱淑芹"},{"authorName":"班朝磊","id":"dd6497f6-cd24-42d5-afe3-7557dbf13b1e","originalAuthorName":"班朝磊"}],"doi":"","fpage":"219","id":"a95b3787-21b7-41b6-a16f-a8edc33f75a6","issue":"2","journal":{"abbrevTitle":"CLRCLXB","coverImgSrc":"journal/img/cover/CLRCLXB.jpg","id":"15","issnPpub":"1009-6264","publisherId":"CLRCLXB","title":"材料热处理学报"},"keywords":[{"id":"7302d550-08e7-47d7-87b8-14b8072ef2e1","keyword":"正交实验","originalKeyword":"正交实验"},{"id":"40883187-eb12-42e5-82e4-20088501c1bd","keyword":"方差分析","originalKeyword":"方差分析"},{"id":"42e53db7-fec5-4a9d-8f74-d2ad6d8dc4e8","keyword":"铝电解电容器","originalKeyword":"铝电解电容器"},{"id":"73c3918d-4aff-4cef-ac5f-f3dedd919a3b","keyword":"电解腐蚀","originalKeyword":"电解腐蚀"}],"language":"zh","publisherId":"jsrclxb201502039","title":"基于方差分析的铝箔电解扩面腐蚀","volume":"36","year":"2015"},{"abstractinfo":"为获取元器件焊点的热疲劳状态信息,采用了焊点剪切力测试方法和非线性最小二乘数据拟合法.以1210片式电阻器件无铅焊点为研究对象,开展了剪切力-热疲劳状态试验研究工作.依据0、300、600、900、1200、1 500个周期温度冲击下的焊点剪切力试验数据,采用非线性最小二乘的Gauss-Newton法,并利用Matlab编程的手段获取了剪切力数据的拟合曲线.以“剪切力值下降30%”的失效标准划定失效界线,利用拟合曲线推算出焊点失效时的循环周期数为1 439.04.试验证明焊点剪切力能够反映出焊点的热疲劳状态,该方法可用于焊点的疲劳状态监测、估计,满足对于焊点疲劳状态的监测需要,同样适用于其他类型焊点的疲劳状态估计.","authors":[{"authorName":"毛书勤","id":"0836ea67-c75c-4b17-b70b-0c6050e6c0a8","originalAuthorName":"毛书勤"},{"authorName":"刘剑","id":"d7af931f-87fa-4244-87cf-750d49097e25","originalAuthorName":"刘剑"},{"authorName":"陈媛","id":"f5814e56-6338-48e0-8f60-93a94ce96114","originalAuthorName":"陈媛"}],"doi":"10.3969/j.issn.1007-2330.2015.03.004","fpage":"15","id":"0d36fa3a-dc9f-4ecd-a100-c17d54bfc885","issue":"3","journal":{"abbrevTitle":"YHCLGY","coverImgSrc":"journal/img/cover/YHCLGY.jpg","id":"77","issnPpub":"1007-2330","publisherId":"YHCLGY","title":"宇航材料工艺 "},"keywords":[{"id":"0f9d64a5-c8f7-4752-86c5-227a587eef57","keyword":"片式元件焊点","originalKeyword":"片式元件焊点"},{"id":"236c6943-fd09-46c6-8607-491e3d1bc887","keyword":"热疲劳状态","originalKeyword":"热疲劳状态"},{"id":"b116e049-5a28-419c-a4c2-cf20ec5db3ab","keyword":"剪切力","originalKeyword":"剪切力"},{"id":"13b37ca8-8c23-4556-abe0-197ce7439d0a","keyword":"Gauss-Newton法","originalKeyword":"Gauss-Newton法"}],"language":"zh","publisherId":"yhclgy201503004","title":"无铅焊点热疲劳状态估计","volume":"45","year":"2015"},{"abstractinfo":"针对C-V方法对非二值图像分割不理想,运行效率不高的问题,提出一种改进的C-V方法.在C-V方法只运用图像灰度信息的基础上,加入基于图像局部方差的信息,并且设置加权参数k,通过k来控制基于图像的灰度信息和方差信息的驱动力在整个图像分割驱动力中的比重,使得改进C-V方法能利用图像区域灰度信息和区域方差信息对非二值图像进行分割,同时应用隐式方案的数值实现方式对改进方法进行数值实现.图像分割实验结果表明,该方法能够更为准确地提取非二值图像边界,减少迭代次数.","authors":[{"authorName":"杨旭朗","id":"ce8be3d4-03ab-4cdd-9300-4994ae092231","originalAuthorName":"杨旭朗"},{"authorName":"侯榆青","id":"ea181adc-58c0-4602-82f2-6390fe0c4357","originalAuthorName":"侯榆青"},{"authorName":"陈燊","id":"e97730b5-58aa-45a4-90c6-db6c5f9d47fd","originalAuthorName":"陈燊"},{"authorName":"高士瑞","id":"11604c46-1c0b-48ec-b9c0-eceeafffdcaf","originalAuthorName":"高士瑞"}],"doi":"10.3969/j.issn.1007-5461.2010.06.007","fpage":"677","id":"3d07fbd4-a157-4304-91f1-8bcfcb4bd106","issue":"6","journal":{"abbrevTitle":"LZDZXB","coverImgSrc":"journal/img/cover/LZDZXB.jpg","id":"53","issnPpub":"1007-5461","publisherId":"LZDZXB","title":"量子电子学报 "},"keywords":[{"id":"306070cd-4f03-4889-87e0-a85d1c000fd1","keyword":"图像处理","originalKeyword":"图像处理"},{"id":"e851e99e-719e-4b73-889e-289928aa0670","keyword":"改进C-V方法","originalKeyword":"改进C-V方法"},{"id":"72067229-6ada-4590-b195-e31f7276f06f","keyword":"偏微分方程","originalKeyword":"偏微分方程"},{"id":"1dc1db35-7c57-47e4-9764-c54551f7ffa6","keyword":"非二值图像","originalKeyword":"非二值图像"},{"id":"ddb5a0d7-5d82-4c88-8aa3-01ff2647417a","keyword":"图像方差","originalKeyword":"图像方差"}],"language":"zh","publisherId":"lzdzxb201006007","title":"一种基于图像灰度和方差信息的图像分割方法","volume":"27","year":"2010"},{"abstractinfo":"利用平面激光诱导荧光(OH-PLIF)技术测量了CH4/air预混湍流火焰前锋面结构,通过图片处理得到了测量平面上的二维火焰面密度.基于不同的假设建立了三种不同模型,利用二维探测得到的火焰面信息来估计三维火焰面密度在测量面上的值,通过积分三维火焰面密度估计值得到燃烧系统的燃料消耗率.结果表明,预混湍流火焰前锋面为凹凸的褶皱结构,平面测量的二维火焰面密度明显低估了真实的火焰面密度,利用模型估计得到的3D火焰面密度对2D值有明显的改善.燃烧系统的燃料消耗率可以用来评估模型的可靠性,结果表明模型的误差都在40%以内.","authors":[{"authorName":"张猛","id":"3611007b-f7f2-464a-9efe-9882188d5f07","originalAuthorName":"张猛"},{"authorName":"俞森彬","id":"748528f1-c7cd-4782-90ec-f7907ca88477","originalAuthorName":"俞森彬"},{"authorName":"金武","id":"71b46ca9-77a1-41c4-81f8-56c7880a18e7","originalAuthorName":"金武"},{"authorName":"王金华","id":"3d195d81-e0a7-46ff-a505-ed257be76d53","originalAuthorName":"王金华"},{"authorName":"黄佐华","id":"bf121f5e-2a7a-4829-99ed-5d7ba63d13d0","originalAuthorName":"黄佐华"}],"doi":"","fpage":"1578","id":"0e1fdf36-0062-40a3-af53-e4e435938828","issue":"7","journal":{"abbrevTitle":"GCRWLXB","coverImgSrc":"journal/img/cover/GCRWLXB.jpg","id":"32","issnPpub":"0253-231X","publisherId":"GCRWLXB","title":"工程热物理学报 "},"keywords":[{"id":"dbd0b0e5-6cb5-4744-af58-5e953cb87fa4","keyword":"OH-PLIF","originalKeyword":"OH-PLIF"},{"id":"a3dd6555-c63f-495b-b19c-9d46b9dfa981","keyword":"湍流火焰前锋面","originalKeyword":"湍流火焰前锋面"},{"id":"1024f4bb-cf8c-4485-9190-a4f429243d20","keyword":"3D火焰面密度","originalKeyword":"3D火焰面密度"},{"id":"ffd0cadc-e855-4d5c-bc05-efb1e19e2d82","keyword":"燃料消耗率","originalKeyword":"燃料消耗率"}],"language":"zh","publisherId":"gcrwlxb201507040","title":"预混湍流3D火焰面密度和燃料消耗率的估计","volume":"36","year":"2015"}],"totalpage":253,"totalrecord":2525}