Synthetic Aperture Imaging Methods And Systems
    1.
    发明申请
    Synthetic Aperture Imaging Methods And Systems 审中-公开
    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

    IPC分类号: G01S13/90

    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。

    LIGHTING DEVICE FOR HORTICULTURE
    2.
    发明申请

    公开(公告)号:US20220022381A1

    公开(公告)日:2022-01-27

    申请号:US17292420

    申请日:2019-11-10

    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.

    OPTIMIZING THE DETECTION OF OBJECTS IN IMAGES
    3.
    发明申请
    OPTIMIZING THE DETECTION OF OBJECTS IN IMAGES 有权
    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

    IPC分类号: G06K9/00

    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。

    OBJECT RECOGNITION USING HAAR FEATURES AND HISTOGRAMS OF ORIENTED GRADIENTS
    4.
    发明申请
    OBJECT RECOGNITION USING HAAR FEATURES AND HISTOGRAMS OF ORIENTED GRADIENTS 失效
    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

    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。

    DETECTION OF OBJECTS IN DIGITAL IMAGES
    5.
    发明申请
    DETECTION OF OBJECTS IN DIGITAL IMAGES 失效
    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

    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。

    TECHNIQUES FOR INTERFERENCE MITIGATION IN MULTI-TIER COMMUNICATION SYSTEM
    6.
    发明申请
    TECHNIQUES FOR INTERFERENCE MITIGATION IN MULTI-TIER COMMUNICATION SYSTEM 审中-公开
    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

    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。

    MANAGING DATABASE CONNECTIONS
    7.
    发明申请
    MANAGING DATABASE CONNECTIONS 失效
    管理数据库连接

    公开(公告)号:US20090234957A1

    公开(公告)日:2009-09-17

    申请号:US12164065

    申请日:2008-06-29

    申请人: Ying LI Ying CHEN

    发明人: Ying LI Ying CHEN

    IPC分类号: G06F15/16

    CPC分类号: G06F17/30595

    摘要: The present invention provides a method for managing a database connection, comprising the steps of: in responsive to a connection request of a first application, allocating an available connection for the first application; if there is no available connection, selecting a held connection being used by a second application; backing up connection context of the held connection; releasing the held connection; and allocating the held connection for the first application. Since connection context of the application has been restorably backed up, a connection of the application can be cut off and the connection re-scheduled when necessary. As a result, the connection utilization rate is enhanced. The present invention further provides a device and system that can manage a database connection based on the technology of connection pools.

    摘要翻译: 本发明提供了一种用于管理数据库连接的方法,包括以下步骤:响应于第一应用的连接请求,为第一应用分配可用连接; 如果没有可用连接,则选择由第二应用使用的保持连接; 备份所连接的连接上下文; 释放持有的连接; 以及为所述第一应用分配所保持的连接。 由于应用程序的连接上下文已被可修改地备份,所以应用程序的连接可以被切断,并且必要时重新安排连接。 结果,连接利用率提高。 本发明还提供一种可以基于连接池的技术来管理数据库连接的设备和系统。

    Memory Management Parameters Derived from System Modeling
    8.
    发明申请
    Memory Management Parameters Derived from System Modeling 审中-公开
    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

    IPC分类号: G06F21/54 G06F21/57

    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。

    SYSTEM AND METHOD FOR INEXPENSIVE RAILROAD TRACK IMAGING FOR INSPECTION
    9.
    发明申请
    SYSTEM AND METHOD FOR INEXPENSIVE RAILROAD TRACK IMAGING FOR INSPECTION 有权
    用于检测的独立轨道跟踪成像系统和方法

    公开(公告)号:US20130176435A1

    公开(公告)日:2013-07-11

    申请号:US13348326

    申请日:2012-01-11

    IPC分类号: H04N7/18

    摘要: An imaging system includes an image capturing device and a plurality of reflective devices. The image capturing device is configured to receive a plurality of images reflected by the plurality of reflective devices. Responsive to receiving the plurality of images, the image capturing device is further configured to capture within a single frame at least a first image corresponding to a first side of a first railroad track rail, a second image corresponding to a second side of the first railroad track rail, a third image corresponding to a first side of a second railroad track rail, and a fourth image corresponding to a second side of the second railroad track rail.

    摘要翻译: 成像系统包括图像捕获装置和多个反射装置。 图像捕获装置被配置为接收由多个反射装置反射的多个图像。 响应于接收多个图像,图像捕获装置还被配置为在单个帧内捕获与第一铁路轨道的第一侧对应的至少第一图像,对应于第一铁路的第二侧的第二图像 轨道轨道,对应于第二轨道轨道的第一侧的第三图像,以及对应于第二轨道轨道的第二侧的第四图像。

    DETECTION OF OBJECTS IN DIGITAL IMAGES
    10.
    发明申请
    DETECTION OF OBJECTS IN DIGITAL IMAGES 失效
    检测数字图像中的对象

    公开(公告)号:US20130011016A1

    公开(公告)日:2013-01-10

    申请号:US13614760

    申请日:2012-09-13

    IPC分类号: G06K9/46

    CPC分类号: G06K9/00818 G06K9/6257

    摘要: A 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: 一种检测数字图像中的对象的方法。 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。