公开(公告)号：US20110102432A1

公开(公告)日：2011-05-05

申请号：US12853356

申请日：2010-08-10

申请人： Rupen Melkisetoglu ,  Gang Li ,  Tong Fang

发明人： Rupen Melkisetoglu ,  Gang Li ,  Tong Fang

IPC分类号： G06T17/00

CPC分类号： G06T19/00 ,  G06T7/66 ,  G06T2210/36

摘要： A method for detecting the tip plane in digitized 3D ear impressions includes receiving a digitized mesh representation of an undetailed 3D ear impression and a digitized mesh representation of a detailed 3D ear impression, finding faces on the detailed ear impression mesh that are modified with respect to corresponding faces on the undetailed ear impression mesh, forming regions of connected modified faces, eliminating those regions that are not around an ear canal, and creating a tip plane by averaging vertices of those remaining faces in a tip region of the detailed impression to find a mass center point, averaging face normal vectors over all faces in the tip region to find an average face normal, and extending the average face normal from the mass center point to find the intersection on the detailed ear impression.

摘要翻译： 用于检测数字化3D耳朵曝光中的尖端平面的方法包括接收未详细3D耳朵印象的数字化网格表示和详细3D耳朵印象的数字化网格表示，在详细的耳朵印象网格上找到相对于 形成未详细的耳朵印模网的相应面，形成连接修改面的区域，消除不在耳道周围的那些区域，以及通过平均细节印象的尖端区域中那些剩余面的顶点来创建尖端平面，以找到 平均脸部正常，平均脸部法线从质心中心点延伸，以便在详细的耳朵上找到交叉点。

公开(公告)号：US09474582B2

公开(公告)日：2016-10-25

申请号：US13817272

申请日：2011-08-16

申请人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

发明人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

IPC分类号： G05D1/00 ,  A61B19/00 ,  G06F19/00 ,  G06T17/20 ,  G06T17/30

CPC分类号： A61B34/10 ,  A61B2034/105 ,  A61F2/30942 ,  A61F2/38 ,  A61F2002/30948 ,  A61F2002/30952 ,  G06F19/00 ,  G06F19/321 ,  G06T17/20 ,  G06T17/30 ,  G16H50/50

摘要： A computer assisted method creates accurate CAD/CAM models of custom orthopedic implants is provided. Information about bone geometry is acquired through medical imaging such as CT image scans. The desired bone surface region is extracted as a polygonal mesh after processing the 3D images. A smooth and accurate B-Spline surface is fitted to the polygonal mesh that is thickened to a solid CAD model. A patient-specific customized implant is manufactured from the obtained CAD model. The patient-specific customized implant is implanted in a patient by a surgeon in an operating room. A processor based system to generate a CAD/CAM file of the patient-specific customized implant and a manufacturing system enabled to manufacture the implant from the CAD/CAM file are also disclosed.

摘要翻译： 计算机辅助方法可提供定制矫形植入物的精确CAD / CAM模型。 有关骨骼几何的信息是通过CT图像扫描等医学成像获取的。 在处理3D图像之后，期望的骨表面区域被提取为多边形网格。 平滑和准确的B样条表面适合于加厚到实体CAD模型的多边形网格。 特定于患者的定制植入物由所获得的CAD模型制造。 患者特定的定制植入物由手术室中的外科医生植入患者体内。 还公开了一种基于处理器的系统，用于生成患者特定定制植入物的CAD / CAM文件和能够从CAD / CAM文件制造植入物的制造系统。

公开(公告)号：US20150230874A1

公开(公告)日：2015-08-20

申请号：US13817272

申请日：2011-08-16

申请人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

发明人： Suraj Ravi Musuvathy ,  Ruirui Jiang ,  Sergei Azernikov ,  Gang Li ,  Tong Fang

IPC分类号： A61B19/00 ,  G06T17/20 ,  G06T17/30 ,  G06F19/00

CPC分类号： A61B34/10 ,  A61B2034/105 ,  A61F2/30942 ,  A61F2/38 ,  A61F2002/30948 ,  A61F2002/30952 ,  G06F19/00 ,  G06F19/321 ,  G06T17/20 ,  G06T17/30 ,  G16H50/50

摘要： A computer assisted method creates accurate CAD/CAM models of custom orthopedic implants is provided. Information about bone geometry is acquired through medical imaging such as CT image scans. The desired bone surface region is extracted as a polygonal mesh after processing the 3D images. A smooth and accurate B-Spline surface is fitted to the polygonal mesh that is thickened to a solid CAD model. A patient-specific customized implant is manufactured from the obtained CAD model. The patient-specific customized implant is implanted in a patient by a surgeon in an operating room. A processor based system to generate a CAD/CAM file of the patient-specific customized implant and a manufacturing system enabled to manufacture the implant from the CAD/CAM file are also disclosed.

摘要翻译： 计算机辅助方法提供了定制矫形植入物的精确CAD / CAM模型。 有关骨骼几何的信息是通过CT图像扫描等医学成像获取的。 在处理3D图像之后，期望的骨表面区域被提取为多边形网格。 平滑和准确的B样条表面适合于加厚到实体CAD模型的多边形网格。 特定于患者的定制植入物由所获得的CAD模型制造。 患者特定的定制植入物由手术室中的外科医生植入患者体内。 还公开了一种基于处理器的系统，用于生成患者特定定制植入物的CAD / CAM文件和能够从CAD / CAM文件制造植入物的制造系统。

公开(公告)号：US10024637B1

公开(公告)日：2018-07-17

申请号：US15808464

申请日：2017-11-09

申请人： Gang Li

发明人： Gang Li

IPC分类号： F41J1/10 ,  F41J7/02 ,  F41J7/06

摘要： In one aspect, there is provided a target reset system, which includes a frame, a plurality of target control arrangements and an actuator. The frame includes a pivot shaft. Each target control arrangement includes a target support member and a target support member spring. The target support member is configured to hold a target, and is pivotable on the pivot shaft between a stowage position and a use position. The target support member spring has a first spring end connected to the target support member and having a second spring end, wherein the first spring end is lockable to the frame to hold the target support member in the stowage position. The second spring end is lockable relative to the frame.

公开(公告)号：US09245375B2

公开(公告)日：2016-01-26

申请号：US13817283

申请日：2011-09-13

申请人： Yakup Genc ,  Gang Li ,  Sajjad Hussain Baloch

发明人： Yakup Genc ,  Gang Li ,  Sajjad Hussain Baloch

IPC分类号： G06T7/00 ,  G06T15/50

CPC分类号： G06T15/50 ,  G06T7/593 ,  G06T2207/10012 ,  G06T2207/10152 ,  G06T2207/20221 ,  G06T2207/30164

摘要： Active lighting is provided for stereo reconstruction (30) of edges (11) of a Delta-8 bundle. Stereo images of a device with edges (11) are captured (24). The image capture (24) is repeated under different lighting conditions, such as illuminating (22) the edges (11) from different directions. The images from each viewing or capture direction are combined (28). The combined images are used to stereographically reconstruct (30) the edges (11).

摘要翻译： 提供了用于Delta-8束的边缘（11）的立体重构（30）的主动照明。 拍摄具有边缘（11）的设备的立体图像（24）。 图像捕获（24）在不同的照明条件下重复，例如从不同方向照亮（22）边缘（11）。 来自每个观察或捕获方向的图像被组合（28）。 组合图像用于立体重建（30）边缘（11）。

公开(公告)号：US09221675B2

公开(公告)日：2015-12-29

申请号：US13561194

申请日：2012-07-30

申请人： Wei Hu ,  Gang Li ,  Jia-Xin Mei

发明人： Wei Hu ,  Gang Li ,  Jia-Xin Mei

IPC分类号： B81C1/00 ,  H04R31/00 ,  H04R19/00

CPC分类号： B81C1/00158 ,  B81C1/00246 ,  H04R19/005 ,  H04R31/00

摘要： A method for integrating an IC and a MEMS component includes the following steps: S1) providing a SOI base (20) having a first area (21) and a second area (22); S2) fabricating an IC on the first area through a standard semiconductor process, and simultaneously forming a metal conductive layer (26) and a medium insulation layer (25c) extending to the second area; S3) partly removing the medium insulation layer and then further partly removing the silicon component layer so as to form a backplate diagram; S4) depositing a sacrificial layer (32) above the SOI base; S5) forming a Poly Sil-xGex film (33) on the sacrificial layer; S6) forming a back cavity (34); and S7) eroding the sacrificial layer to form a chamber (36) in communication with the back cavity. Besides, a chip (10) fabricated by the above method is also disclosed.

摘要翻译： 一种用于集成IC和MEMS部件的方法包括以下步骤：S1）提供具有第一区域（21）和第二区域（22）的SOI基底（20）; S2）通过标准半导体工艺在第一区域上制造IC，同时形成延伸到第二区域的金属导电层（26）和介质绝缘层（25c）; S3）部分地去除介质绝缘层，然后进一步部分去除硅组分层以形成背板图; S4）在SOI基底上方沉积牺牲层（32）; S5）在牺牲层上形成Poly Sil-xGex膜（33）; S6）形成后腔（34）; 和S7）侵蚀牺牲层以形成与后腔连通的腔室（36）。 此外，还公开了通过上述方法制造的芯片（10）。

公开(公告)号：US09137462B2

公开(公告)日：2015-09-15

申请号：US13617416

申请日：2012-09-14

申请人： Gang Li ,  Yakup Genc ,  Erwan Baleine ,  Dennis H. Lemieux

发明人： Gang Li ,  Yakup Genc ,  Erwan Baleine ,  Dennis H. Lemieux

IPC分类号： G01N29/27 ,  H04N5/33 ,  G06T7/60 ,  G06T7/00

CPC分类号： H04N5/33 ,  G01N2223/63 ,  G06T7/0004 ,  G06T7/60 ,  G06T7/62 ,  G06T2207/10048 ,  G06T2207/20061 ,  G06T2207/20096 ,  G06T2207/20101 ,  G06T2207/30164

摘要： Two adjacent objects with a gap between the objects rotate in a hot atmosphere with a temperature greater than 300 F in a gas turbine. Automatic and accurate contactless measurement of the gap is performed by taking images of the gap. An image, preferably an infra-red image is taken from the gap, a processor extracts the two edges from the image of the gap. The processor also determines a line through the pixels of an edge by applying a Hough transform on the pixels. The edges are substantially parallel. A line substantially perpendicular to the lines is also determined. Using the substantially parallel lines and the line substantially perpendicular to the substantially parallel lines the processor determines a width of the gap.

摘要翻译： 在燃气轮机中，具有物体之间的间隙的两个相邻物体在温度大于300°F的热气氛中旋转。 通过拍摄间隙的图像来进行间隙的自动和准确的非接触式测量。 从间隙中取出图像，优选地是红外图像，处理器从间隙的图像中提取两个边缘。 处理器还通过在像素上应用霍夫变换来确定穿过边缘的像素的线。 边缘基本上平行。 还确定了基本上垂直于线的线。 使用基本平行的线和基本上垂直于基本上平行的线的线，处理器确定间隙的宽度。

公开(公告)号：US09059632B2

公开(公告)日：2015-06-16

申请号：US12874438

申请日：2010-09-02

申请人： Gang Li ,  Fengjiang Zhang ,  Laszlo Lipcsei

发明人： Gang Li ,  Fengjiang Zhang ,  Laszlo Lipcsei

IPC分类号： G05F1/00 ,  H02M3/158 ,  H02M1/00

CPC分类号： H02M3/1588 ,  H02M2001/0009 ,  H02M2001/0032 ,  Y02B70/1466 ,  Y02B70/16

摘要： A controller includes a ramp signal generator and control circuitry coupled to the ramp signal generator. The ramp signal generator provides a control current through a resistive component to control energy stored in a first energy storage component. The ramp signal generator further generates a ramp signal based on the energy stored in the first energy storage component. The control circuitry adjusts a voltage at one end of the resistive component thereby controlling the control current to indicate a voltage across a second energy storage component. The control circuitry further controls a current through the second energy storage component within a predetermined range based on the ramp signal.

摘要翻译： 控制器包括斜坡信号发生器和耦合到斜坡信号发生器的控制电路。 斜坡信号发生器通过电阻部件提供控制电流，以控制存储在第一能量存储部件中的能量。 斜坡信号发生器还基于存储在第一能量存储部件中的能量产生斜坡信号。 控制电路调节电阻部件一端的电压，从而控制控制电流以指示跨越第二能量存储部件的电压。 控制电路还基于斜坡信号进一步控制在预定范围内通过第二能量存储部件的电流。

公开(公告)号：US08978461B2

公开(公告)日：2015-03-17

申请号：US13392301

申请日：2009-08-31

申请人： Gang Li ,  Kenneth E. Williams

发明人： Gang Li ,  Kenneth E. Williams

IPC分类号： E21B49/00 ,  E21B47/00

CPC分类号： E21B49/006 ,  E21B47/0006

摘要： A method and apparatus for determining a stress field in a subterranean formation include deploying a stress measurement tool on a tubular string, opening at least three fractures in three different radial directions in the subterranean formation, and closing the at least three fractures. The at least three fractures are reopened while measuring stress and strain conditions. From the reopening, a tangential stress component for each of the at least three fractures is determined. From the tangential stress components and radial directions of the at least three fractures, the stress field of the subterranean formation is determined.

摘要翻译： 用于确定地下地层中的应力场的方法和装置包括在管柱上布置应力测量工具，在地层中开三个不同径向方向的至少三个裂缝，并闭合至少三个裂缝。 在测量应力和应变条件的同时重新打开至少三个裂缝。 从重新开始，确定至少三个裂缝中的每一个的切向应力分量。 根据至少三个裂缝的切向应力分量和径向方向，确定地层的应力场。

公开(公告)号：US08700552B2

公开(公告)日：2014-04-15

申请号：US13305741

申请日：2011-11-28

申请人： Dong Yu ,  Li Deng ,  Frank Torsten Bernd Seide ,  Gang Li

发明人： Dong Yu ,  Li Deng ,  Frank Torsten Bernd Seide ,  Gang Li

IPC分类号： G06F15/18 ,  G06N3/08

CPC分类号： G06N3/08

摘要： Deep Neural Network (DNN) training technique embodiments are presented that train a DNN while exploiting the sparseness of non-zero hidden layer interconnection weight values. Generally, a fully connected DNN is initially trained by sweeping through a full training set a number of times. Then, for the most part, only the interconnections whose weight magnitudes exceed a minimum weight threshold are considered in further training. This minimum weight threshold can be established as a value that results in only a prescribed maximum number of interconnections being considered when setting interconnection weight values via an error back-propagation procedure during the training. It is noted that the continued DNN training tends to converge much faster than the initial training.

摘要翻译： 提出了深层神经网络（DNN）训练技术实施例，其训练DNN，同时利用非零隐藏层互连权重值的稀疏性。 通常，完全连接的DNN最初通过遍历完整的训练集多次进行训练。 那么，在大多数情况下，只有重量大小超过最小重量阈值的互连在进一步的训练中被考虑。 该最小权重阈值可以被建立为在训练期间通过错误反向传播过程设置互连权重值时仅考虑规定的最大数量的互连的值。 值得注意的是，继续进行的DNN训练往往比初始训练快得多。