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1. 发明授权

US08874584B1 Hierarchical video search and recognition system 有权
标题翻译：分层视频搜索和识别系统
公开(公告)号：US08874584B1
公开(公告)日：2014-10-28
申请号：US12660320
申请日：2010-02-24
申请人： Yang Chen , Swarup Medasani , David L. Allen , Qin Jiang , Yuri Owechko , Tsai-Ching Lu
发明人： Yang Chen , Swarup Medasani , David L. Allen , Qin Jiang , Yuri Owechko , Tsai-Ching Lu
IPC分类号： G06F17/30
CPC分类号： G06F17/30805 , G06F17/30811
摘要： Described is a system for content recognition, search, and retrieval in visual data. The system is configured to perform operations of receiving visual data as an input, processing the visual data, and extracting distinct activity-agnostic content descriptors from the visual data at each level of a hierarchical content descriptor module. The resulting content descriptors are then indexed with a hierarchical content indexing module, wherein each level of the content indexing module comprises a distinct set of indexed content descriptors. The visual data, generated content descriptors, and indexed content descriptors are then stored in a storage module. Finally, based on a content-based query by a user, the storage module is searched, and visual data containing the content of interest is retrieved and presented to the user. A method and computer program product for content recognition, search, and retrieval in visual data are also described.
摘要翻译：描述了用于视觉数据中的内容识别，搜索和检索的系统。该系统被配置为执行接收视觉数据作为输入，处理可视数据以及从分层内容描述符模块的每个级别的视觉数据中提取不同的活动不可知内容描述符的操作。所得到的内容描述符然后用分层内容索引模块进行索引，其中内容索引模块的每个级别包括不同的索引内容描述符集合。然后将可视数据，生成的内容描述符和索引的内容描述符存储在存储模块中。最后，基于用户的基于内容的查询，搜索存储模块，并且检索包含感兴趣内容的视觉数据并呈现给用户。还描述了用于视觉数据中的内容识别，搜索和检索的方法和计算机程序产品。

2. 发明授权

US09361523B1 Video content-based retrieval 有权
标题翻译：基于视频内容的检索
公开(公告)号：US09361523B1
公开(公告)日：2016-06-07
申请号：US12841078
申请日：2010-07-21
申请人： Yang Chen , Swarup Medasani , Qin Jiang , David L. Allen , Tsai-Ching Lu
发明人： Yang Chen , Swarup Medasani , Qin Jiang , David L. Allen , Tsai-Ching Lu
IPC分类号： G06K9/03 , G06K9/00
CPC分类号： G06K9/00758 , G06K9/00711 , G06K9/00718 , G06K9/00744 , G06K9/4676 , G06T2207/10016 , G06T2210/00
摘要： A method and system for video-content based retrieval is described. A query video depicting an activity is processed using interest point selection to find locations in the video that are relevant to that activity. A set of spatio-temporal descriptors such as self-similarity and 3-D SIFT are calculated within a local neighborhood of the set of interest points. An indexed video database containing videos similar to the query video is searched using the set of descriptors to obtain a set of candidate videos. The videos in the video database are indexed hierarchically using a vocabulary tree or other hierarchical indexing mechanism.
摘要翻译：描述了基于视频内容的检索的方法和系统。使用兴趣点选择来处理描绘活动的查询视频，以查找视频中与该活动相关的位置。在一组感兴趣点的本地邻域内计算一组空间 - 时间描述符，例如自相似性和3-D SIFT。使用该组描述符搜索包含与查询视频类似的视频的索引视频数据库，以获得一组候选视频。视频数据库中的视频使用词汇树或其他分层索引机制分层索引。

3. 发明授权

US07761389B2 Method for anomaly prediction of battery parasitic load 失效
标题翻译：电池寄生负载异常预测方法
公开(公告)号：US07761389B2
公开(公告)日：2010-07-20
申请号：US11843876
申请日：2007-08-23
申请人： Swarup Medasani , Qin Jiang , Narayan Srinivasa , Yilu Zhang , Leandro G. Barajas , Nick S. Kapsokavathis
发明人： Swarup Medasani , Qin Jiang , Narayan Srinivasa , Yilu Zhang , Leandro G. Barajas , Nick S. Kapsokavathis
IPC分类号： G06F15/18 , G06N7/02
CPC分类号： G01R31/3606 , G01R31/3693
摘要： Anomaly prediction of battery parasitic load includes processing input data related to a state of charge for a battery and a durational factor utilizing a machine learning algorithm and generating a predicted start-up state of charge. Warnings are issued if the predicted start-up state of charge drops below a threshold level within an operational time.
摘要翻译：电池寄生负载的异常预测包括利用机器学习算法处理与电池的充电状态有关的输入数据和持续时间因子，并产生预测的充电状态。如果预计的启动状态在运行时间内下降到阈值以下，则发出警告。

4. 发明申请

US20090055330A1 METHOD FOR ANOMALY PREDICTION OF BATTERY PARASITIC LOAD 失效
标题翻译：电池仿真负载异常预测方法
公开(公告)号：US20090055330A1
公开(公告)日：2009-02-26
申请号：US11843876
申请日：2007-08-23
申请人： Swarup Medasani , Qin Jiang , Narayan Srinivasa , Yilu Zhang , Leandro G. Barajas , Nick S. Kapsokavathis
发明人： Swarup Medasani , Qin Jiang , Narayan Srinivasa , Yilu Zhang , Leandro G. Barajas , Nick S. Kapsokavathis
IPC分类号： G06F15/18 , G06N7/02
CPC分类号： G01R31/3606 , G01R31/3693
摘要： Anomaly prediction of battery parasitic load includes processing input data related to a state of charge for a battery and a durational factor utilizing a machine learning algorithm and generating a predicted start-up state of charge. Warnings are issued if the predicted start-up state of charge drops below a threshold level within an operational time.
摘要翻译：电池寄生负载的异常预测包括利用机器学习算法处理与电池的充电状态有关的输入数据和持续时间因子，并产生预测的充电状态。如果预计的启动状态在运行时间内下降到阈值以下，则发出警告。

5. 发明授权

US09009156B1 System for automatic data clustering utilizing bio-inspired computing models 有权
标题翻译：使用生物启发计算模型的自动数据聚类系统
公开(公告)号：US09009156B1
公开(公告)日：2015-04-14
申请号：US12590574
申请日：2009-11-10
申请人： Qin Jiang , Yang Chen
发明人： Qin Jiang , Yang Chen
IPC分类号： G06F17/30
CPC分类号： G06F15/1735 , G06N3/0409 , G06N3/0418 , G06N3/0436
摘要： Described is a system for automatic data clustering which utilizes bio-inspired computing models. The system performs operations of mapping a set of input data into a feature space using a bio-inspired computing model. A number of clusters inside the set of input data is then determined by finding an optimal vigilance parameter using a bio-inspired computing model. Finally, the set of input data is clustered based on the determined number of clusters. The input data is mapped with a Freeman's KIII network, such that each data point is mapped into a KIII network response. Furthermore, the number of clusters is determined using the fuzzy adaptive resonance theory (ART), and the data is clustered using the fuzzy c-means method. Clustering quality measures are used to compute an objective function to evaluate the quality of clustering.
摘要翻译：描述了一种利用生物启发计算模型的自动数据聚类系统。系统执行使用生物启发的计算模型将一组输入数据映射到特征空间的操作。然后通过使用生物启发的计算模型找到最佳警戒参数来确定输入数据集合内的多个群集。最后，基于所确定的群集数量对该组输入数据进行聚类。输入数据用Freeman的KIII网络映射，使得每个数据点被映射到KIII网络响应。此外，使用模糊自适应共振理论（ART）确定簇的数量，并且使用模糊c-means方法对数据进行聚类。聚类质量测度用于计算目标函数，以评估聚类质量。

6. 发明授权

US08032467B1 Valuation-based learning system 有权
标题翻译：基于估值的学习系统
公开(公告)号：US08032467B1
公开(公告)日：2011-10-04
申请号：US12156447
申请日：2008-05-31
申请人： Yang Chen , Qin Jiang , David Shu
发明人： Yang Chen , Qin Jiang , David Shu
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： The present invention relates to a valuation-based learning system. The system is configured to receive a plurality of inputs, each input being input evidence corresponding to a variable in a Dempster-Shafer Reasoning System. The Dempster-Shafer Reasoning System is a network of interconnected nodes, with each node representing a variable that is representative of a characteristic of a problem domain. A discount weight is then optimized for assigning to each of the inputs. A basic probability assignment (bpa) is generated using the Dempster-Shafer Reasoning System, and where the bpa is an output for use in determining a solution of the problem domain. Finally, a solution to the problem domain is determined using the bpa.
摘要翻译：本发明涉及基于估值的学习系统。该系统被配置为接收多个输入，每个输入是对应于Dempster-Shafer推理系统中的变量的输入证据。 Dempster-Shafer推理系统是互连节点网络，每个节点代表一个代表问题域特征的变量。然后优化折扣权重以分配给每个输入。使用Dempster-Shafer推理系统生成基本概率分配（bpa），其中bpa是用于确定问题域的解决方案的输出。最后，使用bpa确定问题域的解决方案。

7. 发明申请

US20130253064A1 STYRENYL DERIVATIVE COMPOUNDS FOR TREATING OPHTHALMIC DISEASES AND DISORDERS 失效
公开(公告)号：US20130253064A1
公开(公告)日：2013-09-26
申请号：US13789259
申请日：2013-03-07
申请人： Ian Leslie Scott , Vladimir Aleksandrovich Kuksa , Anna Gall , Mark W. Orme , Jennifer Gage , Thomas L. Little, JR. , Qin Jiang , Lana Michele Rossiter , Kevin F. McGee, JR. , Ryo Kubota
发明人： Ian Leslie Scott , Vladimir Aleksandrovich Kuksa , Anna Gall , Mark W. Orme , Jennifer Gage , Thomas L. Little, JR. , Qin Jiang , Lana Michele Rossiter , Kevin F. McGee, JR. , Ryo Kubota
IPC分类号： C07C211/27 , C07C225/06 , C07C217/62 , C07C215/08 , C07C217/10
CPC分类号： A61K31/5375 , A61K31/137 , A61K31/145 , A61K31/167 , A61K31/40 , A61K31/4453 , A61K31/495 , C07C211/27 , C07C211/28 , C07C211/29 , C07C215/08 , C07C215/30 , C07C215/42 , C07C215/46 , C07C217/10 , C07C217/16 , C07C217/18 , C07C217/48 , C07C217/54 , C07C217/62 , C07C217/72 , C07C225/06 , C07C225/18 , C07C233/05 , C07C237/04 , C07C317/28 , C07C323/25 , C07C323/32 , C07C323/33 , C07C2602/14 , C07C2602/16 , C07D207/06 , C07D211/14 , C07D295/03
摘要： The present invention relates generally to compositions and methods for treating neurodegenerative diseases and disorders, particularly ophthalmic diseases and disorders. Provided herein are styrenyl derivative compounds, including but not limited to stilbene derivative compounds, and compositions comprising these compounds, that are useful for treating and preventing ophthalmic diseases and disorders, including age-related macular degeneration (AMD) and Stargardt's Disease.

8. 发明授权

US08320216B2 Active sonar system and active sonar method using fuzzy logic 有权
标题翻译：主动声纳系统和主动声纳法采用模糊逻辑
公开(公告)号：US08320216B2
公开(公告)日：2012-11-27
申请号：US12628246
申请日：2009-12-01
申请人： Qin Jiang
发明人： Qin Jiang
IPC分类号： G01S15/00
CPC分类号： G01S15/42 , G01S7/53 , G01S7/534 , G01S7/539
摘要： A computer-implemented method of sonar processing includes identifying, with a processor, a detection having a detection probability value, the detection in a selected beam, wherein the detection is associated with a detection range cell having detection range cell data. The method also includes comparing, with the processor, the detection range cell data with range cell data from a corresponding range cell from at least one overlapping beam overlapping the selected beam. The method also includes updating, with the processor, the detection probability value based upon the comparing. A sonar system uses the above-described method. A computer readable storage medium has instructions thereon to achieve the above-described method.
摘要翻译：计算机实现的声纳处理方法包括用处理器识别具有检测概率值的检测，所述检测与所选择的波束中的检测相关联，其中所述检测与具有检测范围单元数据的检测范围单元相关联。该方法还包括将检测范围单元数据与来自与所选择的波束重叠的至少一个重叠波束的对应范围单元的距离单元数据进行比较。该方法还包括基于该比较与处理器更新检测概率值。声纳系统使用上述方法。计算机可读存储介质在其上具有实现上述方法的指令。

9. 发明申请

US20110128819A1 ACTIVE SONAR SYSTEM AND ACTIVE SONAR METHOD USING FUZZY LOGIC 有权
标题翻译：使用FUZZY LOGIC的主动声纳系统和主动声纳方法
公开(公告)号：US20110128819A1
公开(公告)日：2011-06-02
申请号：US12628246
申请日：2009-12-01
申请人： Qin Jiang
发明人： Qin Jiang
IPC分类号： G01S15/00
CPC分类号： G01S15/42 , G01S7/53 , G01S7/534 , G01S7/539
摘要： A computer-implemented method of sonar processing includes identifying, with a processor, a detection having a detection probability value, the detection in a selected beam, wherein the detection is associated with a detection range cell having detection range cell data. The method also includes comparing, with the processor, the detection range cell data with range cell data from a corresponding range cell from at least one overlapping beam overlapping the selected beam. The method also includes updating, with the processor, the detection probability value based upon the comparing. A sonar system uses the above-described method. A computer readable storage medium has instructions thereon to achieve the above-described method.
摘要翻译：计算机实现的声纳处理方法包括用处理器识别具有检测概率值的检测，所述检测与所选择的波束中的检测相关联，其中所述检测与具有检测范围单元数据的检测范围单元相关联。该方法还包括将检测范围单元数据与来自与所选择的波束重叠的至少一个重叠波束的对应范围单元的距离单元数据进行比较。该方法还包括基于该比较与处理器更新检测概率值。声纳系统使用上述方法。计算机可读存储介质在其上具有实现上述方法的指令。

10. 发明申请

US20050016576A1 STACKED THERMOCOUPLE STRUCTURE AND SENSING DEVICES FORMED THEREWITH 审中-公开
标题翻译：堆积的热电偶结构和传感装置
公开(公告)号：US20050016576A1
公开(公告)日：2005-01-27
申请号：US10710250
申请日：2004-06-29
申请人： Qin Jiang , Han Lee , James Logsdon , Dan Chilcott , David Lambert , Shih-Chia Chang
发明人： Qin Jiang , Han Lee , James Logsdon , Dan Chilcott , David Lambert , Shih-Chia Chang
IPC分类号： G01K7/02 , H01L35/00 , H01L35/28 , H01L35/30 , H01L37/00
CPC分类号： G01K7/021
摘要： A thermocouple structure capable of providing a more compact thermopile-based thermal sensor. The thermocouple structure has a stacked configuration that includes a plurality of first conductors on a surface, a dielectric layer on each of the first conductors, and a plurality of second conductors on the dielectric layer and formed of a different material than the first conductors. Each first conductor has first and second ends, and each second conductor has a first end overlying and contacting the first end of one of the first conductors, and a second end overlying but separated from the second end of the first conductor by the dielectric layer. A plurality of third conductors electrically interconnect one of the second ends of the second conductors with one of the second ends of the first conductors. Each third conductors is thicker than the second conductors to promote the robustness of the connection.
摘要翻译：能够提供更紧凑的基于热电堆的热传感器的热电偶结构。热电偶结构具有层叠结构，其包括表面上的多个第一导体，每个第一导体上的电介质层和介电层上的多个第二导体，并且由不同于第一导体的材料形成。每个第一导体具有第一端和第二端，并且每个第二导体具有覆盖并接触第一导体中的一个的第一端的第一端，以及通过介电层覆盖但与第一导体的第二端分离的第二端。多个第三导体将第二导体的第二端中的一个与第一导体的第二端之一电互连。每个第三导体比第二导体厚，以促进连接的鲁棒性。

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