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1. 发明申请

US20170293606A1 METHODS AND SYSTEMS FOR OPTIMIZED SELECTION OF DATA FEATURES FOR A NEURO-LINGUISTIC COGNITIVE ARTIFICAL INTELLIGENCE SYSTEM 审中-公开
公开(公告)号：US20170293606A1
公开(公告)日：2017-10-12
申请号：US15481298
申请日：2017-04-06
申请人： Gang XU , Tao YANG , Ming-Jung SEOW
发明人： Gang XU , Tao YANG , Ming-Jung SEOW
IPC分类号： G06F17/27 , G06N3/08 , G06N3/04
CPC分类号： G06F17/2735 , G06F17/271 , G06F17/277 , G06F17/2785 , G06N3/04 , G06N3/0409 , G06N3/0454 , G06N3/08 , G06N3/088 , G06N5/04 , G06N5/048 , G06N20/00
摘要： Techniques are disclosed to optimize feature selection in generating betas for a feature dictionary of a neuro-linguistic Cognitive AI System. A machine learning engine receives a sample vector of input data to be analyzed by the neuro-linguistic Cognitive AI System. The neuro-linguistic Cognitive AI System is configured to generate multiple feature words for each of a plurality of sensors. The machine learning engine identifies a sensor specified in the sample vector and selects optimization parameters for generating feature words based on the identified sensor.

2. 发明申请

US20120163670A1 BEHAVIORAL RECOGNITION SYSTEM 有权
标题翻译：行为识别系统
公开(公告)号：US20120163670A1
公开(公告)日：2012-06-28
申请号：US13413549
申请日：2012-03-06
申请人： John Eric EATON , Wesley Kenneth COBB , Dennis Gene URECH , Bobby Ernest BLYTHE , David Samuel FRIEDLANDER , Rajkiran Kumar GOTTUMUKKAL , Lon William RISINGER , Kishor Adinath SAITWAL , Ming-Jung SEOW , David Marvin SOLUM , Gang XU , Tao YANG
发明人： John Eric EATON , Wesley Kenneth COBB , Dennis Gene URECH , Bobby Ernest BLYTHE , David Samuel FRIEDLANDER , Rajkiran Kumar GOTTUMUKKAL , Lon William RISINGER , Kishor Adinath SAITWAL , Ming-Jung SEOW , David Marvin SOLUM , Gang XU , Tao YANG
IPC分类号： G06K9/00
CPC分类号： G06K9/00771 , G08B13/19608 , G08B13/19613
摘要： Embodiments of the present invention provide a method and a system for analyzing and learning behavior based on an acquired stream of video frames. Objects depicted in the stream are determined based on an analysis of the video frames. Each object may have a corresponding search model used to track an object's motion frame-to-frame. Classes of the objects are determined and semantic representations of the objects are generated. The semantic representations are used to determine objects' behaviors and to learn about behaviors occurring in an environment depicted by the acquired video streams. This way, the system learns rapidly and in real-time normal and abnormal behaviors for any environment by analyzing movements or activities or absence of such in the environment and identifies and predicts abnormal and suspicious behavior based on what has been learned.
摘要翻译：本发明的实施例提供了一种基于所获取的视频帧流来分析和学习行为的方法和系统。基于对视频帧的分析来确定流中描绘的对象。每个对象可以具有用于跟踪对象的帧到帧的运动的对应的搜索模型。确定对象的类，并生成对象的语义表示。语义表示用于确定对象的行为，并了解在所获取的视频流中描绘的环境中发生的行为。通过这种方式，系统通过分析环境中的动作或活动或不存在这些环境，快速，实时地对任何环境的正常和异常行为进行学习，并根据所学到的知识和预测异常和可疑行为。

3. 发明申请

US20170295070A1 NETWORK DATA PROCESSING DRIVER FOR A COGNITIVE ARTIFICAL INTELLIGENCE SYSTEM 审中-公开
公开(公告)号：US20170295070A1
公开(公告)日：2017-10-12
申请号：US15481320
申请日：2017-04-06
申请人： Tao YANG , Ming-Jung SEOW
发明人： Tao YANG , Ming-Jung SEOW
IPC分类号： H04L12/24 , G06N99/00 , H04L29/08
CPC分类号： H04L41/142 , G06N20/00 , H04L41/12 , H04L41/16 , H04L43/04 , H04L67/10
摘要： Techniques are disclosed for processing data collected from network components for analysis by a machine learning engine of a Cognitive AI System. A network data processing driver receives a stream of data from a data collector which obtains data from one or more network data sources. The driver normalizes the stream of data to one or more feature values each corresponding to the network data sources and generates a sample vector from the feature values. The sample vector is formatted to be analyzed by the machine learning engine.

4. 发明申请

US20120275649A1 FOREGROUND OBJECT TRACKING 有权
标题翻译：前缀对象跟踪
公开(公告)号：US20120275649A1
公开(公告)日：2012-11-01
申请号：US13545950
申请日：2012-07-10
申请人： Wesley Kenneth COBB , Ming-Jung SEOW , Tao YANG
发明人： Wesley Kenneth COBB , Ming-Jung SEOW , Tao YANG
IPC分类号： G06K9/62
CPC分类号： G06K9/00771 , G06T7/215 , G06T7/254 , G06T2207/10016 , G06T2207/30196 , G06T2207/30236 , G06T2207/30241 , G08B13/19608
摘要： Techniques are disclosed for detecting foreground objects in a scene captured by a surveillance system and tracking the detected foreground objects from frame to frame in real time. A motion flow field is used to validate foreground objects(s) that are extracted from the background model of a scene. Spurious foreground objects are filtered before the foreground objects are provided to the tracking stage. The motion flow field is also used by the tracking stage to improve the performance of the tracking as needed for real time surveillance applications.
摘要翻译：公开了用于检测由监视系统捕获的场景中的前景物体并且实时地从帧到帧跟踪检测到的前景物体的技术。运动流场用于验证从场景的背景模型中提取的前景对象。在将前景对象提供给跟踪阶段之前，会对前景对象进行过滤。跟踪阶段还使用运动流场来提高实时监控应用所需的跟踪性能。

5. 发明申请

US20170293609A1 METHODS AND SYSTEMS USING COGNITIVE ARTIFICAL INTELLIGENCE TO IMPLEMENT ADAPTIVE LINGUISTIC MODELS TO PROCESS DATA 审中-公开
公开(公告)号：US20170293609A1
公开(公告)日：2017-10-12
申请号：US15481302
申请日：2017-04-06
申请人： Tao YANG , Gang XU , Wesley Kenneth COBB , Omni AI, Inc.
发明人： Ming-Jung SEOW , Tao YANG , Gang XU , Wesley Kenneth COBB
IPC分类号： G06F17/27 , G06N99/00 , G06N5/04
CPC分类号： G06F17/2735 , G06F17/271 , G06F17/277 , G06F17/2785 , G06N3/04 , G06N3/0409 , G06N3/0454 , G06N3/08 , G06N3/088 , G06N5/04 , G06N5/048 , G06N20/00
摘要： Techniques are disclosed for analyzing and learning behaviors based on acquired sensor data. A neuro-linguistic cognitive engine performs learning and analysis on linguistic content (e.g., identified alpha symbols, betas, and gammas) obtained by a linguistic model that clusters observations to generate the linguistic content. The neuro-linguistic cognitive engine compares new data to learned patterns stored in short and longer-term memories and determines whether to issue special event notifications indicating anomalous behavior. In one embodiment, condition(s) may be generated for new data and checked against inference nodes of an inference network. Inference nodes matching the condition(s) are executed to, e.g., compare the new data with the learned patterns, with output from the inference nodes being used to generate additional condition(s) that are again matched to inference nodes which may be executed.

6. 发明申请

US20210087536A1 FORMULA OF SERUM-FREE MEDIUM FOR HUMAN PLURIPOTENT STEM CELLS 有权
公开(公告)号：US20210087536A1
公开(公告)日：2021-03-25
申请号：US16613475
申请日：2017-03-28
申请人： Tao YANG
发明人： Tao YANG , Yi SUI
IPC分类号： C12N5/074
摘要： The present invention discloses formulation of a serum-free medium used for human pluripotent stem cells, which comprises the following raw materials: inorganic salt components, organic components, amino acids and amino acid salts, energy substances and metabolic intermediates, vitamins and antioxidants, proteins and polypeptides, trace elements and chromogenic substances; while the culture process comprises the following steps: selecting a basic formulation, performing combination screening, identifying and evaluating results, and testing a new formulation of culture; and proportioning according to the following methods: adding aforesaid raw materials into 950 ml of water for injection, stirring gently until dissolved, and finally adding 2.438 g of sodium bicarbonate, and stirring gently until dissolved, and then adding 1 liter of water for injection, adjusting the pH to the desired value with 1 mol/L sodium hydroxide solution or 1 mol/L hydrochloric acid solution, finally filtering sterilized with 0.1 μm diameter filter under positive pressure, and storing the medium solution in dark place at 2° C.-8° C., the invention solves the problem of high cost of domestic import of serum-free formulation.

7. 发明申请

US20220015544A1 Screwless Chair 有权
公开(公告)号：US20220015544A1
公开(公告)日：2022-01-20
申请号：US16932797
申请日：2020-07-19
申请人： Tao YANG
发明人： Tao YANG
IPC分类号： A47C4/02 , A47C4/04 , F16B12/10 , A47C7/54
摘要： Present invention teaches a screwless chair where the unassembled product can come in a flat package, reducing the size of storage and adding to the ease of transportation. No screws are needed for the chair of present invention; no tools are needed for the assembly/disassembly when a user unfolds the seat back from the seat base, slides the hook pieces along the groove pieces and set the seat back down by setting the insertion pegs to the corresponding insertion holes. Errors in setting up the chair can be avoided. The ease of setting up, and thus the sturdiness and the safety of the chair, is not affected by repeated disassembly/re-assembly.

8. 发明申请

US20190390826A1 System of localized general lighting, a control method thereof, and a table lamp using said system of localized general lighting 审中-公开
公开(公告)号：US20190390826A1
公开(公告)日：2019-12-26
申请号：US16035694
申请日：2018-07-15
申请人： Tao YANG
发明人： Tao YANG
IPC分类号： F21S6/00 , F21V21/22 , F21V23/04 , F21S10/02 , F21V23/00
摘要： A system of localized general lighting, embodied in a table lamp, the table lamp has more than one lamp, and lights emitted by each lamp define a light illumination tier; wherein the system has a first illumination tier and a second illumination tier, the first illumination tier is positioned below the second illumination tier; the first illumination tier illuminates lights having homogeneous intensity, low illumination height, strong illuminance and small area coverage; the second illumination tier is positioned above the first illumination tier; the second illumination tier illuminates lights having homogeneous intensity, high illumination height, weak illuminance and large area coverage; the area coverage of the lights illuminated by the second illumination tier superimposes the area coverage of the lights illuminated by the first illumination tier so that the lights from the second illumination tier and the lights from the first illumination tier are mixed at a predetermined ratio.

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