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61. 外观设计

USD924099S1 Buckle 有权
公开(公告)号：USD924099S1
公开(公告)日：2021-07-06
申请号：US29729685
申请日：2020-03-30
申请人： Michael Mathe , Feng Han , Zhaokun Jiang
设计人： Michael Mathe , Feng Han , Zhaokun Jiang

62. 发明授权

US08744122B2 System and method for object detection from a moving platform 有权
标题翻译：从移动平台进行物体检测的系统和方法
公开(公告)号：US08744122B2
公开(公告)日：2014-06-03
申请号：US12604298
申请日：2009-10-22
申请人： Garbis Salgian , John Benjamin Southall , Sang-Hack Jung , Vlad Branzoi , Jiangjian Xiao , Feng Han , Supun Samarasekera , Rakesh Kumar , Jayan Eledath
发明人： Garbis Salgian , John Benjamin Southall , Sang-Hack Jung , Vlad Branzoi , Jiangjian Xiao , Feng Han , Supun Samarasekera , Rakesh Kumar , Jayan Eledath
IPC分类号： G06K9/00
CPC分类号： G06K9/00369 , G06K9/00805
摘要： The present invention relates to a system and method for detecting one or more targets belonging to a first class (e.g., moving and/or stationary people), from a moving platform in a 3D-rich environment. The framework described here is implemented using a number of monocular or stereo cameras distributed around the vehicle to provide 360 degrees coverage. Furthermore, the framework described here utilizes numerous filters to reduce the number of false positive identifications of the targets.
摘要翻译：本发明涉及一种用于在富3D环境中从移动平台检测属于第一类（例如移动和/或固定人物）的一个或多个目标的系统和方法。这里描述的框架使用分布在车辆周围的多个单目或立体摄像机来实现，以提供360度覆盖。此外，这里描述的框架利用许多过滤器来减少目标的假阳性识别的数量。

63. 发明授权

US08243991B2 Method and apparatus for detecting targets through temporal scene changes 有权
标题翻译：通过时间场景变化来检测目标的方法和装置
公开(公告)号：US08243991B2
公开(公告)日：2012-08-14
申请号：US12486316
申请日：2009-06-17
申请人： Subhodev Das , Yi Tan , Ming-Yee Chiu , Andrew Coppock , Feng Han
发明人： Subhodev Das , Yi Tan , Ming-Yee Chiu , Andrew Coppock , Feng Han
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K9/4642 , G06K9/6857
摘要： A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
摘要翻译：公开了一种用于检测图像中的目标的系统和方法。从至少一对对准的图像中检测至少一个表现出至少强度变化的图像区域。使用无监督学习方法确定至少一个图像区域内的至少强度的变化的分布。使用至少强度变化的分布来识别经历感兴趣变化的像素。使用监督学习方法来识别来自所识别的像素的至少一个目标。至少强度变化的分布是当一对图像属于彩色图像时的联合色调和强度直方图。至少强度变化的分布是当一对图像属于灰度图像时的强度直方图。

64. 发明申请

US20120017339A1 QTL Controlling Sclerotinia Stem Rot Resistance in Soybean 有权
标题翻译： QTL控制大豆中的核盘菌抗茎抗性
公开(公告)号：US20120017339A1
公开(公告)日：2012-01-19
申请号：US13159199
申请日：2011-06-13
申请人： Feng Han , Maria Katt , Wolfgang Schuh , David M. Webb
发明人： Feng Han , Maria Katt , Wolfgang Schuh , David M. Webb
IPC分类号： A01H5/00 , A01C7/00 , A01G1/00
CPC分类号： C12Q1/6895 , C12Q2600/13 , C12Q2600/156
摘要： Markers associated with Sclerotinia stem rot resistance are provided. Methods of identifying resistant and susceptible plants, using the markers are provided. Methods for identifying and isolating QTL are a feature of the invention, as are QTL associated with Sclerotinia stem rot resistance.
摘要翻译：提供与核盘菌病抗性相关的标记。提供使用标记鉴定抗性和敏感植物的方法。用于鉴定和分离QTL的方法是本发明的一个特征，QTL与核盘菌耐腐性有关。

65. 发明授权

US07977533B2 Genetic loci associated with iron deficiency tolerance in soybean 有权
标题翻译：与大豆缺铁耐受相关的遗传基因座
公开(公告)号：US07977533B2
公开(公告)日：2011-07-12
申请号：US12346920
申请日：2008-12-31
申请人： Scott A. Sebastian , Hong Lu , Feng Han , Martin Fabrizius , Leon Streit
发明人： Scott A. Sebastian , Hong Lu , Feng Han , Martin Fabrizius , Leon Streit
IPC分类号： A01H1/04
CPC分类号： C12Q1/6895 , A01H1/04 , A01H5/10 , C12N15/8271 , C12N15/8282 , C12Q2600/13 , C12Q2600/156
摘要： The invention relates to methods and compositions for identifying soybean plants that are tolerant, have improved tolerance or are susceptible to iron deficient growth conditions. The methods use molecular genetic markers to identify, select and/or construct disease-tolerant plants or identify and counterselect disease-susceptible plants. Soybean plants that display tolerance or improved tolerance to Phytophthora root rot infection that are generated by the methods of the invention are also a feature of the invention.
摘要翻译：本发明涉及用于鉴定耐受性，具有改善的耐受性或易受铁缺乏生长条件的大豆植物的方法和组合物。该方法使用分子遗传标记来鉴定，选择和/或构建耐病植物或识别并对抗疾病敏感植物。通过本发明的方法产生的显示对疫霉根腐病感染的耐受性或改善的耐受性的大豆植物也是本发明的一个特征。

66. 发明申请

US20110006304A1 SEMICONDUCTOR DEVICE WITH ALTERNATELY ARRANGED P-TYPE AND N-TYPE THIN SEMICONDUCTOR LAYERS AND METHOD FOR MANUFACTURING THE SAME 有权
标题翻译：具有完全安装的P型和N型半导体层的半导体器件及其制造方法
公开(公告)号：US20110006304A1
公开(公告)日：2011-01-13
申请号：US12832963
申请日：2010-07-08
申请人： Shengan Xiao , Feng Han
发明人： Shengan Xiao , Feng Han
IPC分类号： H01L29/06 , H01L21/20
CPC分类号： H01L29/7802 , H01L21/2256 , H01L29/0634 , H01L29/086 , H01L29/66712
摘要： The invention is related to a semiconductor device with alternately arranged P-type and N-type thin semiconductor layers and method for manufacturing the same. For P-type device, the method includes trench formation, thermal oxide formation on trench sidewalls, N-type silicon formation in trenches, N-type impurity diffusion through thermal oxide into P-type epitaxial layer, oxidation of N-type silicon in trenches and oxide removal. In the semiconductor device, N-type thin semiconductor layers are formed by N-type impurity diffusion through oxide to P-type epitaxial layers, and trenches are filled with oxide. With this method, relatively low concentration impurity in high voltage device can be realized by current mass production process, and the device development cost and manufacturing cost are decreased.
摘要翻译：本发明涉及具有交替排列的P型和N型薄型半导体层的半导体器件及其制造方法。对于P型器件，该方法包括沟槽形成，沟槽侧壁上的热氧化物形成，沟槽中的N型硅形成，通过热氧化物的N型杂质扩散到P型外延层中，沟槽中的N型硅的氧化和氧化物去除。在半导体装置中，N型薄型半导体层通过氧化物的N型杂质扩散形成P型外延层，并且沟槽填充有氧化物。通过这种方法，可以通过当前的大规模生产过程实现高压装置中相对低浓度的杂质，并且降低了器件开发成本和制造成本。

67. 发明授权

US07853072B2 System and method for detecting still objects in images 有权
标题翻译：用于检测图像中静止物体的系统和方法
公开(公告)号：US07853072B2
公开(公告)日：2010-12-14
申请号：US11780109
申请日：2007-07-19
申请人： Feng Han , Ying Shan , Ryan Cekander , Harpreet S. Sawhney , Rakesh Kumar
发明人： Feng Han , Ying Shan , Ryan Cekander , Harpreet S. Sawhney , Rakesh Kumar
IPC分类号： G06K9/62
CPC分类号： G06K9/4642
摘要： The present invention provides an improved system and method for object detection with histogram of oriented gradient (HOG) based support vector machine (SVM). Specifically, the system provides a computational framework to stably detect still or not moving objects over a wide range of viewpoints. The framework includes providing a sensor input of images which are received by the “focus of attention” mechanism to identify the regions in the image that potentially contain the target objects. These regions are further computed to generate hypothesized objects, specifically generating selected regions containing the target object hypothesis with respect to their positions. Thereafter, these selected regions are verified by an extended HOG-based SVM classifier to generate the detected objects.
摘要翻译：本发明提供一种用于基于定向梯度（HOG）的支持向量机（SVM）直方图的物体检测的改进的系统和方法。具体地，该系统提供了一个计算框架，用于在宽范围的视点中稳定地检测静止或不移动的物体。框架包括提供通过“注意力”机制接收的图像的传感器输入，以识别可能包含目标对象的图像中的区域。进一步计算这些区域以产生假设对象，特别地生成包含关于其位置的目标对象假设的选定区域。此后，通过扩展的基于HOG的SVM分类器验证这些选择的区域以生成检测到的对象。

68. 发明申请

US20100092036A1 METHOD AND APPARATUS FOR DETECTING TARGETS THROUGH TEMPORAL SCENE CHANGES 有权
标题翻译：通过时间变化来检测目标的方法和装置
公开(公告)号：US20100092036A1
公开(公告)日：2010-04-15
申请号：US12486316
申请日：2009-06-17
申请人： Subhodev Das , Yi Tan , Ming-Yee Chiu , Andrew Coppock , Feng Han
发明人： Subhodev Das , Yi Tan , Ming-Yee Chiu , Andrew Coppock , Feng Han
IPC分类号： G06K9/00
CPC分类号： G06K9/3241 , G06K9/4642 , G06K9/6857
摘要： A system and method for detecting a target in imagery is disclosed. At least one image region exhibiting changes in at least intensity is detected from among at least a pair of aligned images. A distribution of changes in at least intensity inside the at least one image region is determined using an unsupervised learning method. The distribution of changes in at least intensity is used to identify pixels experiencing changes of interest. At least one target from the identified pixels is identified using a supervised learning method. The distribution of changes in at least intensity is a joint hue and intensity histogram when the pair of images pertain to color imagery. The distribution of changes in at least intensity is an intensity histogram when the pair of images pertain to grey-level imagery.
摘要翻译：公开了一种用于检测图像中的目标的系统和方法。从至少一对对准的图像中检测至少一个表现出至少强度变化的图像区域。使用无监督学习方法确定至少一个图像区域内的至少强度的变化的分布。使用至少强度变化的分布来识别经历感兴趣变化的像素。使用监督学习方法来识别来自所识别的像素的至少一个目标。至少强度变化的分布是当一对图像属于彩色图像时的联合色调和强度直方图。至少强度变化的分布是当一对图像属于灰度图像时的强度直方图。

69. 发明授权

US07642403B2 Marker mapping and resistance gene associations in soybean 失效
标题翻译：大豆中的标记作图和抗性基因关联
公开(公告)号：US07642403B2
公开(公告)日：2010-01-05
申请号：US11208038
申请日：2005-08-19
申请人： Michael Godwin , Feng Han , Alec A. Hayes , Xu Hu , Soon-Chun Jeong , Guihua Lu , M. A. Saghai Maroof
发明人： Michael Godwin , Feng Han , Alec A. Hayes , Xu Hu , Soon-Chun Jeong , Guihua Lu , M. A. Saghai Maroof
IPC分类号： A01H1/00 , A01H1/02 , C12N5/04 , C12Q1/68 , A01H5/00
CPC分类号： A01H1/04 , C07K14/415 , C12N15/8282 , C12N15/8283 , C12Q1/6895 , C12Q2600/13 , C12Q2600/156 , C12Q2600/172
摘要： The invention provides novel molecular genetic markers in soybean, where the markers are useful, for example, in the marker-assisted selection of gene alleles that impart disease-resistance, thereby allowing the identification and selection of a disease-resistant plant. The markers also find use in positional cloning of disease-resistance genes.
摘要翻译：本发明在大豆中提供了新的分子遗传标记，其中标记可用于例如赋予抗病性的基因等位基因的标记辅助选择，从而允许鉴定和选择抗病植物。标记也用于抗病基因的定位克隆。

70. 发明申请

US20090319560A1 SYSTEM AND METHOD FOR MULTI-AGENT EVENT DETECTION AND RECOGNITION 有权
标题翻译：用于多事件事件检测和识别的系统和方法
公开(公告)号：US20090319560A1
公开(公告)日：2009-12-24
申请号：US12489667
申请日：2009-06-23
申请人： Hui Cheng , Changjiang Yan , Harpreet Singh Sawhney , Feng Han
发明人： Hui Cheng , Changjiang Yan , Harpreet Singh Sawhney , Feng Han
IPC分类号： G06F17/30
CPC分类号： G06F17/30781 , G06K9/00771 , G06K9/4642 , G06K9/6292
摘要： A method and system for creating a histogram of oriented occurrences (HO2) is disclosed. A plurality of entities in at least one image are detected and tracked. One of the plurality of entities is designated as a reference entity. A local 2-dimensional ground plane coordinate system centered on and oriented with respect to the reference entity is defined. The 2-dimensional ground plane is partitioned into a plurality of non-overlapping bins, the bins forming a histogram, a bin tracking a number of occurrences of an entity class. An occurrence of at least one other entity of the plurality of entities located in the at least one image may be associated with one of the plurality of non-overlapping bins. A number of occurrences of entities of at least one entity class in at least one bin may be into a vector to define an HO2 feature.
摘要翻译：公开了一种用于创建定向事件直方图（HO2）的方法和系统。检测并跟踪至少一个图像中的多个实体。多个实体之一被指定为参照实体。定义以参考实体为中心并定向的局部二维地面坐标系。二维接地平面被划分成多个不重叠的箱体，该箱体形成一个直方图，一个箱子跟踪一个实体类的出现次数。位于所述至少一个图像中的所述多个实体中的至少一个其他实体的出现可以与所述多个非重叠区域中的一个相关联。在至少一个箱中的至少一个实体类的实体的多个出现可以被转换为向量以定义HO2特征。

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