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1. 发明申请

US20110212729A1 TECHNIQUES FOR IDENTIFYING BASE STATIONS IN COMMUNICATION SYSTEM 有权
标题翻译：识别通信系统基站的技术
公开(公告)号：US20110212729A1
公开(公告)日：2011-09-01
申请号：US12871354
申请日：2010-08-30
申请人： Ying LI , Anshuman NIGAM , Jung Je SON , Zhouyue PI
发明人： Ying LI , Anshuman NIGAM , Jung Je SON , Zhouyue PI
IPC分类号： H04W72/04
CPC分类号： H04W48/16 , H04W4/08 , H04W84/045
摘要： A method and a Mobile Station (MS), for use in a wireless communication network comprising a plurality of Base Stations (BSs) capable of communicating with a plurality of MSs, wherein at least some of the BSs are Femtocell BSs (FBSs) and at least some of the BSs are Macrocell BSs (MBSs), for identifying the BSs at the MS, are provided. The method includes receiving at least one of a globally unique BS ID and an Operator ID from an FBS via a Broadcast CHannel (BCH), deriving a Closed Subscriber Group IDentifier (CSG ID) from the received at least one of the globally unique BS ID and the Operator ID, and determining, based on the derived CSG ID, if the FBS is a CSG FBS to which the MS is subscribed.
摘要翻译：一种用于包括能够与多个MS进行通信的多个基站（BS）的无线通信网络中的方法和移动站（MS），其中至少一些BS是毫微微小区BS（FBS），并且在提供了用于识别MS处的BS的至少一些BS是宏小区BS（MBS）。该方法包括经由广播信道（BCH）从FBS接收全球唯一的BS ID和运营商ID中的至少一个，从接收到的全球唯一BS ID中的至少一个中导出封闭用户组标识符（CSG ID）以及运营商ID，并且基于导出的CSG ID，确定FBS是否是订阅MS的CSG FBS。

2. 发明申请

US20110086651A1 TECHNIQUES FOR INTERFERENCE MITIGATION IN MULTI-TIER COMMUNICATION SYSTEM 审中-公开
标题翻译：多通信系统干扰减轻的技术
公开(公告)号：US20110086651A1
公开(公告)日：2011-04-14
申请号：US12856166
申请日：2010-08-13
申请人： Ying LI , Baowei JI , Zhouyue PI , Jung Je SON , Sudhir Ramakrishna , Youngkyo BAEK
发明人： Ying LI , Baowei JI , Zhouyue PI , Jung Je SON , Sudhir Ramakrishna , Youngkyo BAEK
IPC分类号： H04B15/00
CPC分类号： H04W28/04 , H04W4/06 , H04W84/045
摘要： A method and a Mobile Station (MS), for use in a wireless communication network comprising a plurality of Base Stations (BSs) capable of communicating with a plurality of MSs, wherein at least some of the BSs are Femtocell BSs (FBSs) and at least some of the BSs are Macrocell BSs (MBSs), for mitigating interference are provided. The method includes detecting, by an MS, an interfering Closed Subscriber Group (CSG) FBS that the MS is not authorized to access, and transmitting, by the MS, a request for mitigation of interference.
摘要翻译：一种用于包括能够与多个MS进行通信的多个基站（BS）的无线通信网络中的方法和移动站（MS），其中至少一些BS是毫微微小区BS（FBS），并且在至少一些BS是Macrocell BS（MBS），用于减轻干扰。该方法包括由MS检测MS未被授权访问的干扰封闭用户组（CSG）FBS，以及由MS发送减轻干扰的请求。

3. 发明申请

US20220022381A1 LIGHTING DEVICE FOR HORTICULTURE 有权
公开(公告)号：US20220022381A1
公开(公告)日：2022-01-27
申请号：US17292420
申请日：2019-11-10
申请人： Ying LI , Satish AGRAWAL , Michael G. HORNER , Andrew TURK , Nathaniel KABAT
发明人： Ying LI , Satish AGRAWAL , Michael G. HORNER , Andrew TURK , Nathaniel KABAT
IPC分类号： A01G7/04 , H05B47/11 , F21V9/02 , H01L27/146
摘要： A grow light for providing light to one or more plants in a grow area, includes a first light source and a second light source. A first energy conversion component is disposed over the first light source and a second energy conversion component is disposed over the second light source. A power supply is configured to provide power to the first and the second light sources. A controller is configured to control the power supply to provide power to either the first light source or the second light source at a given time. The first energy conversion component converts light received from the first light source into a light having first spectrum and the second energy conversion component converts light received from the second light source into a light having second spectrum different from the first spectrum.

4. 发明申请

US20130101157A1 OPTIMIZING THE DETECTION OF OBJECTS IN IMAGES 有权
标题翻译：优化图像中对象的检测
公开(公告)号：US20130101157A1
公开(公告)日：2013-04-25
申请号：US13277936
申请日：2011-10-20
申请人： Ying LI , Sharathchandra PANKANTI
发明人： Ying LI , Sharathchandra PANKANTI
IPC分类号： G06K9/00
CPC分类号： G06K9/00805 , B60W2550/10 , B60W2550/402 , G06K9/00818 , G06T7/70 , G06T2207/30261 , H04N5/2256 , H04N5/2354 , H04N7/185
摘要： A system and method detect objects in a digital image. At least positional data associated with a vehicle is received. Geographical information associated with the positional data is received. A probability of detecting a target object within a corresponding geographic area associated with the vehicle is determined based on the geographical data. The probability is compared to a given threshold. An object detection process is at least one of activated and maintained in an activated state in response to an object detection process in response to the probability being one of above and equal to the given threshold. The object detection process detects target objects within at least one image representing at least one frame of a video sequence of an external environment. The object detection process is at least one of deactivated and maintained in a deactivated state in response to the probability being below the given threshold.
摘要翻译：系统和方法检测数字图像中的对象。至少接收到与车辆相关联的位置数据。接收与位置数据相关联的地理信息。基于地理数据确定检测与车辆相关联的相应地理区域内的目标对象的概率。将概率与给定阈值进行比较。对象检测处理是响应于上述等于给定阈值的概率而响应于对象检测处理而被激活并保持在激活状态中的至少一个。对象检测处理检测表示外部环境的视频序列的至少一帧的至少一个图像内的目标对象。响应于低于给定阈值的概率，对象检测处理是去激活和维持在去激活状态中的至少一个。

5. 发明申请

US20110255743A1 OBJECT RECOGNITION USING HAAR FEATURES AND HISTOGRAMS OF ORIENTED GRADIENTS 失效
标题翻译：使用HAAR特征的对象识别和面向对象的等级的组织
公开(公告)号：US20110255743A1
公开(公告)日：2011-10-20
申请号：US13085985
申请日：2011-04-13
申请人： Weiguang GUAN , Norman HAAS , Ying LI , Sharathchandra PANKANTI
发明人： Weiguang GUAN , Norman HAAS , Ying LI , Sharathchandra PANKANTI
IPC分类号： G06K9/00
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A system and method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A sliding window of different window sizes at different locations is placed in the image. A cascaded classifier including a plurality of increasingly accurate layers is applied to each window size and each location. Each layer includes a plurality of classifiers. An area of the image within a current sliding window is evaluated using one or more weak classifiers in the plurality of classifiers based on at least one of Haar features and Histograms of Oriented Gradients features. An output of each weak classifier is a weak decision as to whether the area of the image includes an instance of an object of a desired object type. A location of the zero or more images associated with the desired object type is identified.
摘要翻译：一种用于检测数字图像中的对象的系统和方法。接收表示视频序列的至少一帧的至少一个图像。在不同位置的不同窗口大小的滑动窗口放置在图像中。包括多个越来越精确的层的级联分类器被应用于每个窗口大小和每个位置。每个层包括多个分类器。基于Haar特征和定向梯度特征的至少一个，使用多个分类器中的一个或多个弱分类器来评估当前滑动窗口内的图像的区域。每个弱分类器的输出是关于图像的区域是否包括期望对象类型的对象的实例的弱决定。识别与所需对象类型相关联的零个或多个图像的位置。

6. 发明申请

US20110249867A1 DETECTION OF OBJECTS IN DIGITAL IMAGES 失效
标题翻译：检测数字图像中的对象
公开(公告)号：US20110249867A1
公开(公告)日：2011-10-13
申请号：US13086023
申请日：2011-04-13
申请人： Norman HAAS , Ying LI , Sharathchandra PANKANTI
发明人： Norman HAAS , Ying LI , Sharathchandra PANKANTI
IPC分类号： G06K9/00
CPC分类号： G06K9/00818 , G06K9/6257
摘要： A system and method to detect objects in a digital image. At least one image representing at least one frame of a video sequence is received. A given color channel of the image is extracted. At least one blob that stands out from a background of the given color channel is identified. One or more features are extracted from the blob. The one or more features are provided to a plurality of pre-learned object models each including a set of pre-defined features associated with a pre-defined blob type. The one or more features are compared to the set of pre-defined features. The blob is determined to be of a type that substantially matches a pre-defined blob type associated with one of the pre-learned object models. At least a location of an object is visually indicated within the image that corresponds to the blob.
摘要翻译：一种用于检测数字图像中的对象的系统和方法。接收表示视频序列的至少一帧的至少一个图像。提取图像的给定颜色通道。识别从给定颜色通道的背景中突出出的至少一个斑点。从斑点中提取一个或多个特征。将一个或多个特征提供给多个预先学习的对象模型，每个预先学习的对象模型包括与预定义的斑点类型相关联的一组预定义特征。将一个或多个特征与一组预定义特征进行比较。 blob被确定为与预先识别的对象模型之一相关联的预定义blob类型的类型。至少一个对象的位置在对应于斑点的图像内被目视指示。

7. 发明申请

US20140072169A1 LOCATION DETERMINATION FOR AN OBJECT USING VISUAL DATA 有权
标题翻译：使用视觉数据的对象的位置确定
公开(公告)号：US20140072169A1
公开(公告)日：2014-03-13
申请号：US13612345
申请日：2012-09-12
申请人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
发明人： Norman HAAS , Ying LI , Charles A. OTTO , Sharathchandra PANKANTI
IPC分类号： G06K9/62
CPC分类号： G06T7/0044 , G06T7/74 , G06T2207/10016 , G06T2207/30108 , G06T2207/30252
摘要： A global position of an observed object is determined by obtaining a first global position of an observed object with at least one positioning device. A determination is made as to whether a set of stored visual characteristic information of at least one landmark matches a visual characteristic information set obtained from at least one captured image comprising a scene associated with the observed object. In response to the set of stored visual characteristic information matching the obtained visual characteristic information set, a second global position of the observed object is determined based on a set of stored location information associated with the at least one landmark and the first global position.
摘要翻译：通过利用至少一个定位装置获得观察对象的第一全局位置来确定观察对象的全局位置。确定至少一个地标的一组存储的视觉特征信息是否与从包括与观察对象相关联的场景的至少一个拍摄图像获得的视觉特征信息集匹配。响应于与所获得的视觉特征信息集匹配的所存储的视觉特征信息的集合，基于与至少一个地标和第一全局位置相关联的一组存储的位置信息来确定观察对象的第二全局位置。

8. 发明申请

US20120213413A1 REAL-TIME ANNOTATION OF IMAGES IN A HUMAN ASSISTIVE ENVIRONMENT 有权
标题翻译：人类协调环境中的图像的实时观察
公开(公告)号：US20120213413A1
公开(公告)日：2012-08-23
申请号：US13459940
申请日：2012-04-30
申请人： Jonathan CONNELL , Norman HAAS , Arun HAMPAPUR , Ying LI , Robert S. OLYHA, JR. , Sharathchandra PANKANTI
发明人： Jonathan CONNELL , Norman HAAS , Arun HAMPAPUR , Ying LI , Robert S. OLYHA, JR. , Sharathchandra PANKANTI
IPC分类号： G06K9/00
CPC分类号： G09B9/052 , G06K9/00664 , G06K9/00771 , G06K9/6256
摘要： A method, information processing system, and computer program storage product annotate video images associated with an environmental situation based on detected actions of a human interacting with the environmental situation. A set of real-time video images are received that are captured by at least one video camera associated with an environment presenting one or more environmental situations to a human. One or more user actions made by the human that is associated with the set of real-time video images with respect to the environmental situation are monitored. A determination is made, based on the monitoring, that the human driver has one of performed and failed to perform at least one action associated with one or more images of the set of real-time video images. The one or more images of the set of real-time video images are annotated with a set of annotations.
摘要翻译：一种方法，信息处理系统和计算机程序存储产品基于与环境情况相互作用的人的检测到的动作来注释与环境状况相关联的视频图像。一组实时视频图像被至少一个与呈现一个或多个环境情况的环境相关联的摄像机捕捉到的人被摄取。监视与人体相对于环境情况的一组实时视频图像相关联的一个或多个用户动作。基于监视，确定人类驾驶员具有执行的一个并且未能执行与该组实时视频图像的一个或多个图像相关联的至少一个动作。一组实时视频图像的一个或多个图像用一组注释注释。

9. 发明申请

US20160061950A1 Synthetic Aperture Imaging Methods And Systems 审中-公开
标题翻译：合成孔径成像方法与系统
公开(公告)号：US20160061950A1
公开(公告)日：2016-03-03
申请号：US14841118
申请日：2015-08-31
申请人： Yuan XU , Michael C. KOLIOS , Ping GONG , Ying LI
发明人： Yuan XU , Michael C. KOLIOS , Ping GONG , Ying LI
IPC分类号： G01S13/90
CPC分类号： G01S13/90 , G01S15/8904 , G01S15/8913 , G01S15/8997
摘要： The invention generally relates to the field of synthetic aperture imaging. In particular, the invention relates to systems and methods for generating synthetic transmit aperture (“STA”) signals and processing synthetic aperture imaging (“SAI”) signals for improved signal-to-noise ratio (“SNR”) and spatial resolution. This generally relates to a method to improve the signal-noise-ratio (SNR) of array signals by both encoding the transmission from multiple array elements with waveform modifications and time delays and encoding the receivers into output channels and decoding the measured signals at the selected output channels to estimate the equivalent received signals of a receiver as if only one transmitting element were fired individually in each transmission event. SAI techniques are subsequently applied to the equivalent SAI signals to obtain improved images.
摘要翻译：本发明一般涉及合成孔径成像领域。特别地，本发明涉及用于产生合成发射孔径（“STA”）信号和处理合成孔径成像（“SAI”）信号以提高信噪比（“SNR”）和空间分辨率的系统和方法。这通常涉及一种通过对具有波形修改和时间延迟的多个阵列元件的传输进行编码来改进阵列信号的信噪比（SNR）的方法，并且将接收机编码为输出通道并且将所选择的测量信号解码输出通道来估计接收机的等效接收信号，好像在每个传输事件中仅单独地发射一个发射元件。 SAI技术随后应用于等效的SAI信号以获得改进的图像。

10. 发明申请

US20150161385A1 Memory Management Parameters Derived from System Modeling 审中-公开
标题翻译：内存管理参数源自系统建模
公开(公告)号：US20150161385A1
公开(公告)日：2015-06-11
申请号：US14629396
申请日：2015-02-23
申请人： Alexander G. GOUNARES , Ying LI , Charles D. GARRETT
发明人： Alexander G. GOUNARES , Ying LI , Charles D. GARRETT
IPC分类号： G06F21/54 , G06F21/57
CPC分类号： G06F21/54 , G06F9/4552 , G06F9/5016 , G06F11/3409 , G06F11/3447 , G06F21/577 , G06F2201/865 , G06F2209/508 , G06F2221/033 , Y02D10/22 , Y02D10/34
摘要： Optimized memory management settings may be derived from a mathematical model of an execution environment. The settings may be optimized for each application or workload, and the settings may be implemented per application, per process, or with other granularity. The settings may be determined after an initial run of a workload, which may observe and characterize the execution. The workload may be executed a second time using the optimized settings. The settings may be stored as tags for the executable code, which may be in the form of a metadata file or as tags embedded in the source code, intermediate code, or executable code. The settings may change the performance of memory management operations in both interpreted and compiled environments. The memory management operations may include memory allocation, garbage collection, and other related functions.
摘要翻译：可以从执行环境的数学模型导出优化的存储器管理设置。可以针对每个应用或工作负载优化设置，并且可以根据应用，每个进程或其他粒度来实现设置。可以在初始运行工作负载之后确定设置，这可以观察和表征执行。可以使用优化的设置第二次执行工作负载。这些设置可以存储为可执行代码的标签，其可以是元数据文件的形式，或作为嵌入在源代码，中间代码或可执行代码中的标签。这些设置可能会改变解释和编译环境中的内存管理操作的性能。存储器管理操作可以包括存储器分配，垃圾收集和其他相关功能。

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