公开(公告)号：US09469537B2

公开(公告)日：2016-10-18

申请号：US15153982

申请日：2016-05-13

Applicant: Wayne Wolf

Inventor： Wayne Wolf

IPC: B01J19/12 ,  C01B13/11

CPC classification number: C01B13/115 ,  B01J19/088 ,  B01J2219/0809 ,  B01J2219/083 ,  B01J2219/0849 ,  B01J2219/0875 ,  C01B13/11 ,  C01B2201/14 ,  C01B2201/22 ,  C01B2201/32 ,  C01B2201/62 ,  C01B2201/76 ,  C01B2201/90 ,  Y10T29/4973

Abstract: A method of replacing an electrode assembly of an ozone generator includes removing an upper closure plate of the ozone generator, removing a contact plate, lifting an individual electrode assembly to be replaced from its associated dielectric tube, and sliding a replacement electrode assembly into place. A method of replacing a dielectric tube of an ozone generator includes removing the upper closure plate, contact plate, individual electrode assembly to be replaced from its associated dielectric tube, removing a suspension means and its associated suspended dielectric tube from its respective lower seal plate aperture, sliding a replacement dielectric tube into the removed suspension means, sliding the removed suspension means and replacement dielectric tube into its respective lower seal plate aperture, sliding the lifted electrode assembly into the replaced dielectric tube, and sliding the electrode assembly with its replaced dielectric tube suspended from its associated suspension means into place.

Abstract translation: 更换臭氧发生器的电极组件的方法包括去除臭氧发生器的上封闭板，去除接触板，从其相关联的电介质管提起待更换的单个电极组件，并将替换电极组件滑动到位。 更换臭氧发生器的电介质管的方法包括从其相关联的介电管去除上封闭板，接触板，待更换的单独电极组件，从其相应的下密封板孔中移除悬挂装置及其相关联的悬置电介质管 将替代的电介质管滑入去除的悬挂装置中，将移除的悬挂装置和替换的介质管滑动到其相应的下密封板孔中，将提升的电极组件滑动到更换的电介质管中，并且将电极组件与替换的介质管 从其相关联的悬挂装置悬挂到位。

公开(公告)号：US20090296992A1

公开(公告)日：2009-12-03

申请号：US12365149

申请日：2009-02-03

Applicant: Yiqing Liang ,  Vikrant Kobla ,  Xuesheng Bai ,  Yi Zhang ,  Linda S Crnic ,  Stan L. Wilks ,  Wayne Wolf

Inventor： Yiqing Liang ,  Vikrant Kobla ,  Xuesheng Bai ,  Yi Zhang ,  Linda S Crnic ,  Stan L. Wilks ,  Wayne Wolf

IPC: G06K9/00

CPC classification number: G06K9/00342 ,  A01K1/031 ,  A61B5/1113 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/1128 ,  A61B5/4094 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2503/40 ,  A61B2503/42 ,  G06F19/00 ,  G06K9/00335 ,  G06K9/00369 ,  G06T7/20 ,  G06T2207/30004

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal feature points and segments identification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for feature points and segments and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.

Abstract translation: 通常，本发明涉及使用视频来找到动物的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统，其中计算机被配置为自动提供动物分割和识别，动物运动跟踪（用于移动的动物），动物特征点和段识别以及行为识别。 在优选实施例中，本发明可以使用用于动物识别和跟踪的背景减除，以及决策树分类和特征点和段的规则分类和行为识别的组合。 因此，本发明能够自动监视视频图像以识别，跟踪和分类各种动物的动作和图像内动物的动作。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为，但可用于许多其他监视应用中的任何一种。

公开(公告)号：US06732256B2

公开(公告)日：2004-05-04

申请号：US10462675

申请日：2003-06-17

Applicant: Jörg Henkel ,  Wayne Wolf ,  Haris Lekatsas

Inventor： Jörg Henkel ,  Wayne Wolf ,  Haris Lekatsas

IPC: G06F930

CPC classification number: G06F9/30178 ,  G06F9/30156 ,  G06F9/30185

Abstract: A code compression method and apparatus for system-level power optimization that lessens the requirements imposed on main memory size. The apparatus utilizes a post-cache architecture that has a decompression engine that decompresses compressed object code instructions using dictionary look-up tables, branching instruction controllers and mathematical derivations based on bit toggling. The decompression engine extracts the compressed instructions from memory or the instruction/data cache using a bus compression technique to save power as the compressed instructions/data traverses the bus.

Abstract translation: 用于系统级功率优化的代码压缩方法和装置，其减轻对主存储器大小的要求。 该装置使用具有解压缩引擎的缓存后架构，其使用字典查找表，分支指令控制器和基于位切换的数学推导解压缩压缩目标代码指令。 解压缩引擎使用总线压缩技术从存储器或指令/数据高速缓存中提取压缩指令，以在压缩指令/数据穿过总线时节省功率。

公开(公告)号：US5708767A

公开(公告)日：1998-01-13

申请号：US382877

申请日：1995-02-03

Applicant: Boon-Lock Yeo ,  Minerva M. Yeung ,  Wayne Wolf ,  Bede Liu

Inventor： Boon-Lock Yeo ,  Minerva M. Yeung ,  Wayne Wolf ,  Bede Liu

IPC: G06F17/30 ,  G11B27/28 ,  H04N5/14 ,  H04N5/445 ,  H04N17/06 ,  G06T9/00

CPC classification number: G06F17/30811 ,  G06F17/30814 ,  G06F17/30852 ,  G11B27/28 ,  H04N17/06 ,  H04N5/147 ,  H04N5/445

Abstract: A new technique for extracting a hierarchical decomposition of a complex video selection for browsing purposes, combines visual and temporal information to capture the important relations within a scene and between scenes in a video, thus allowing the analysis of the underlying story structure with no a priori knowledge of the content. A general model of hierarchical scene transition graph is applied to an implementation for browsing. Video shots are first identified and a collection of key frames is used to represent each video segment. These collections are then classified according to gross visual information. A platform is built on which the video is presented as directed graphs to the user, with each category of video shots represented by a node and each edge denoting a temporal relationship between categories. The analysis and processing of video is carried out directly on the compressed videos. Preliminary tests show that the narrative structure of a video selection can be effectively captured using this technique.

Abstract translation: 一种用于提取用于浏览目的的复杂视频选择的分层分解的新技术，将视觉和时间信息组合以捕获场景内和视频中的场景之间的重要关系，从而允许对先前的基础故事结构进行分析 知识的内容。 分层场景转换图的一般模型应用于浏览的实现。 首先识别视频镜头，并使用关键帧的集合来表示每个视频段。 然后根据总体视觉信息对这些集合进行分类。 建立一个平台，视频以定向图呈现给用户，每个类别的视频镜头由节点表示，每个边缘表示类别之间的时间关系。 视频的分析和处理直接在压缩视频上进行。 初步测试表明，使用这种技术可以有效地捕捉视频选择的叙事结构。

公开(公告)号：US08372345B2

公开(公告)日：2013-02-12

申请号：US12806778

申请日：2010-08-20

Applicant: Wayne Wolf

Inventor： Wayne Wolf

IPC: B01J19/08

CPC classification number: B01J19/088 ,  B01J2219/0809 ,  B01J2219/083 ,  B01J2219/0849 ,  B01J2219/0875 ,  C01B13/11 ,  C01B2201/14 ,  C01B2201/62 ,  C01B2201/90

Abstract: An ozone generating apparatus includes a base container for holding water, and a head assembly connected to the upper edge of the base container, the head assembly containing a plurality of ozone generating cells each having a dielectric tube and an electrode assembly coaxially disposed within the associated dielectric tube. The dielectric tubes and electrode assemblies are disposed and connected such that the tube and/or electrode assembly of each ozone generating cell can be accessed independently of all other ozone generating cells, and such that the possibility of cascade failure of all remaining ozone generating cells upon failure of a single cell is substantially eliminated. The base container is provided with a process back flood prevention structure to protect the ozone generating cells.

Abstract translation: 臭氧发生装置包括用于保持水的基底容器和连接到基底容器的上边缘的头部组件，头部组件包含多个臭氧发生电池，每个臭氧发生电池均具有介电管和电极组件，电极组件同轴地设置在相关联的 电介质管。 电介质管和电极组件被布置和连接，使得每个臭氧发生电池的管和/或电极组件可以独立于所有其它臭氧发生电池进行访问，并且使得所有剩余的产生臭氧的电池的级联失效的可能性 基本上消除了单个电池的故障。 基础容器设置有防过程防洪结构，用于保护臭氧发生电池。

公开(公告)号：US20110268621A1

公开(公告)日：2011-11-03

申请号：US12806778

申请日：2010-08-20

Applicant: Wayne Wolf

Inventor： Wayne Wolf

IPC: B01J19/08

CPC classification number: B01J19/088 ,  B01J2219/0809 ,  B01J2219/083 ,  B01J2219/0849 ,  B01J2219/0875 ,  C01B13/11 ,  C01B2201/14 ,  C01B2201/62 ,  C01B2201/90

Abstract: An ozone generating apparatus includes a base container for holding water, and a head assembly connected to the upper edge of the base container, the head assembly containing a plurality of ozone generating cells each having a dielectric tube and an electrode assembly coaxially disposed within the associated dielectric tube. The dielectric tubes and electrode assemblies are disposed and connected such that the tube and/or electrode assembly of each ozone generating cell can be accessed independently of all other ozone generating cells, and such that the possibility of cascade failure of all remaining ozone generating cells upon failure of a single cell is substantially eliminated. The base container is provided with a process back flood prevention structure to protect the ozone generating cells.

Abstract translation: 臭氧发生装置包括用于保持水的基底容器和连接到基底容器的上边缘的头部组件，头部组件包含多个臭氧发生电池，每个臭氧发生电池均具有介电管和电极组件，电极组件同轴地设置在相关联的 电介质管。 电介质管和电极组件被布置和连接，使得每个臭氧发生电池的管和/或电极组件可以独立于所有其它臭氧发生电池进行访问，并且使得所有剩余的臭氧发生电池的级联失效的可能性 基本上消除了单个电池的故障。 基础容器设置有防过程防洪结构，用于保护臭氧发生电池。

公开(公告)号：US07817824B2

公开(公告)日：2010-10-19

申请号：US12365149

申请日：2009-02-03

Applicant: Yiqing Liang ,  Vikrant Kobla ,  Xuesheng Bai ,  Yi Zhang ,  Linda S Crnic ,  Stan L. Wilks, legal representative ,  Wayne Wolf

Inventor： Yiqing Liang ,  Vikrant Kobla ,  Xuesheng Bai ,  Yi Zhang ,  Linda S Crnic ,  Wayne Wolf

IPC: G06K9/00 ,  G06K9/34 ,  G06K9/48 ,  G06K9/36 ,  G06K9/40 ,  A61K49/00 ,  H04N1/46

CPC classification number: G06K9/00342 ,  A01K1/031 ,  A61B5/1113 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/1128 ,  A61B5/4094 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2503/40 ,  A61B2503/42 ,  G06F19/00 ,  G06K9/00335 ,  G06K9/00369 ,  G06T7/20 ,  G06T2207/30004

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an animal using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal feature points and segments identification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for feature points and segments and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.

Abstract translation: 通常，本发明涉及使用视频来找到动物的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统，其中计算机被配置为自动提供动物分割和识别，动物运动跟踪（用于移动动物），动物特征点和段识别以及行为识别。 在优选实施例中，本发明可以使用用于动物识别和跟踪的背景减除，以及决策树分类和特征点和段的规则分类和行为识别的组合。 因此，本发明能够自动监视视频图像以识别，跟踪和分类各种动物的动作和图像内动物的动作。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为，但可用于许多其他监视应用中的任何一种。

公开(公告)号：US20090285452A1

公开(公告)日：2009-11-19

申请号：US12354727

申请日：2009-01-15

Applicant: Yiqing LIANG ,  Vikrant KOBLA ,  Xuesheng BAI ,  Yi ZHANG ,  Linda S. Crnic ,  Stan L. Wilks ,  Wayne Wolf

Inventor： Yiqing LIANG ,  Vikrant KOBLA ,  Xuesheng BAI ,  Yi ZHANG ,  Linda S. Crnic ,  Stan L. Wilks ,  Wayne Wolf

IPC: G06K9/00

CPC classification number: G06K9/00342 ,  A01K1/031 ,  A61B5/1113 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/1128 ,  A61B5/4094 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2503/40 ,  A61B2503/42 ,  G06K9/00335 ,  G06K9/00369 ,  G06T7/20 ,  G06T2207/30004 ,  G16H40/67

Abstract: Systems and methods for finding the position and shape of an animal using video are disclosed. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide animal segmentation and identification, animal motion tracking (for moving animals), animal posture classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for animal identification and tracking, and a combination of decision tree classification and rule-based classification for posture and behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various animals and the animal's movements within the image. The image may be provided in real time or from storage.

Abstract translation: 公开了使用视频来查找动物的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统，其中计算机被配置为自动提供动物分割和识别，动物运动跟踪（用于移动动物），动物姿势分类和行为识别。 在优选实施例中，本发明可以使用用于动物识别和跟踪的背景减除，以及用于姿势和行为识别的决策树分类和基于规则的分类的组合。 因此，本发明能够自动监视视频图像以识别，跟踪和分类各种动物的动作和图像内动物的动作。 图像可以实时地或从存储提供。

公开(公告)号：US07068842B2

公开(公告)日：2006-06-27

申请号：US10666741

申请日：2003-09-19

Applicant: Yiqing Liang ,  Linda Crnic ,  Vikrant Kobla ,  Wayne Wolf

Inventor： Yiqing Liang ,  Linda Crnic ,  Vikrant Kobla ,  Wayne Wolf

IPC: G06K9/00

CPC classification number: G06K9/00342 ,  A01K1/031 ,  A61B5/1113 ,  A61B5/1116 ,  A61B5/1118 ,  A61B5/1128 ,  A61B5/4094 ,  A61B5/7264 ,  A61B5/7267 ,  A61B2503/40 ,  A61B2503/42 ,  G06F19/00 ,  G06K9/00335 ,  G06K9/00369 ,  G06T7/20 ,  G06T2207/30004

Abstract: In general, the present invention is directed to systems and methods for finding the position and shape of an object using video. The invention includes a system with a video camera coupled to a computer in which the computer is configured to automatically provide object segmentation and identification, object motion tracking (for moving objects), object position classification, and behavior identification. In a preferred embodiment, the present invention may use background subtraction for object identification and tracking, probabilistic approach with expectation-maximization for tracking the motion detection and object classification, and decision tree classification for behavior identification. Thus, the present invention is capable of automatically monitoring a video image to identify, track and classify the actions of various objects and the object's movements within the image. The image may be provided in real time or from storage. The invention is particularly useful for monitoring and classifying animal behavior for testing drugs and genetic mutations, but may be used in any of a number of other surveillance applications.

Abstract translation: 通常，本发明涉及用于使用视频来查找对象的位置和形状的系统和方法。 本发明包括具有耦合到计算机的摄像机的系统，其中计算机被配置为自动提供对象分割和识别，对象运动跟踪（用于移动对象），对象位置分类和行为识别。 在优选实施例中，本发明可以使用用于对象识别和跟踪的背景减除，用于跟踪运动检测和对象分类的期望最大化的概率方法以及用于行为识别的决策树分类。 因此，本发明能够自动监视视频图像以识别，跟踪和分类各种对象的动作和对象在图像内的运动。 图像可以实时地或从存储提供。 本发明特别可用于监测和分类用于测试药物和遗传突变的动物行为，但可用于许多其他监视应用中的任何一种。

公开(公告)号：US09364811B2

公开(公告)日：2016-06-14

申请号：US13667635

申请日：2012-11-02

Applicant: Wayne Wolf

Inventor： Wayne Wolf

IPC: B01J19/08 ,  C01B13/11

CPC classification number: C01B13/115 ,  B01J19/088 ,  B01J2219/0809 ,  B01J2219/083 ,  B01J2219/0849 ,  B01J2219/0875 ,  C01B13/11 ,  C01B2201/14 ,  C01B2201/22 ,  C01B2201/32 ,  C01B2201/62 ,  C01B2201/76 ,  C01B2201/90 ,  Y10T29/4973

Abstract: An ozone generating apparatus includes a base container for holder water and a head assembly connected to the upper edge of the base container, the head assembly containing ozone generating cells, each having a dielectric tube and an electrode assembly coaxially disposed with the associated dielectric tube. The dielectric tubes and electrode assemblies are disposed and connected such that the tube and/or electrode assembly of each ozone generating cell can be accessed and replaced independently of all other ozone generating cells, and such that the possibility of cascade failure of all remaining ozone generating cells upon failure of a single cell is substantially eliminated.

Abstract translation: 臭氧发生装置包括用于保持水的基底容器和连接到基底容器的上边缘的头部组件，头部组件包含臭氧发生单元，每个具有电介质管和与相关联的介电管同轴地布置的电极组件。 电介质管和电极组件被布置和连接，使得每个臭氧发生电池的管和/或电极组件可独立于所有其它臭氧发生电池被访问和替代，并且使得所有剩余的臭氧发生的级联故障的可能性 基本上消除了单个电池故障时的电池。