Patents by Inventor Yangchun Deng
Yangchun Deng has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 12164113Abstract: The present disclosure discloses an optical engine and an AR device. The optical engine includes a self-luminous display chip and a lens assembly provided on a light outlet side of the self-luminous display chip, wherein the lens assembly includes at least three lenses. The above solution solves the technical problem of large volume of optical engine.Type: GrantFiled: August 30, 2021Date of Patent: December 10, 2024Assignee: GOERTEK OPTICAL TECHNOLOGY CO., LTD.Inventors: Yangchun Deng, Wangni Zhao, Qinglin Song
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Patent number: 12038681Abstract: Disclosed are a projection optical path and a projection device. The projection optical path includes a first converged light of a first dual-light source system and a second converged light of a second dual-light source system; a first wavelength light, a second wavelength light, and a third wavelength light are respectively one of red light, green light, and blue light; a fourth wavelength light is within a wavelength range of the red light; the wavelength of the fourth wavelength light is defined as ?1; the wavelength of the one set as the red light among the first wavelength light, the second wavelength light, and the third wavelength light is ?2; ?1 is unequal to ?2; an excitation light source emits an excitation light; and the excitation light is emitted to the first dual-light source system or the second dual-light source system.Type: GrantFiled: June 21, 2021Date of Patent: July 16, 2024Assignee: GOERTEK OPTICAL TECHNOLOGY CO., LTDInventors: Jingjian Gong, Yangchun Deng, Weitao Ding, Dean Liu, Gongtao Lu
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Publication number: 20240053616Abstract: The present disclosure discloses an optical engine and an AR device. The optical engine includes a self-luminous display chip and a lens assembly provided on a light outlet side of the self-luminous display chip, wherein the lens assembly includes at least three lenses. The above solution solves the technical problem of large volume of optical engine.Type: ApplicationFiled: August 30, 2021Publication date: February 15, 2024Inventors: Yangchun DENG, Wangni ZHAO, Qinglin SONG
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Publication number: 20230408894Abstract: The projection optical path comprises a triple light source system emitting a first converged light and a single light source system emitting a light with a monochromatic wavelength. The triple light source system comprises a second converged light converged with a light with a first wavelength to form the first converged light. The single light source system comprises a third light source. The light with the first wavelength, the light with the second wavelength, and the light with the third wavelength are respectively one of red light, green light, blue light, a wavelength range of a light with a fourth wavelength is within a wavelength range of the red light. The wavelength of the light with the fourth wavelength is defined as ?1; the wavelength of the red light among the lights with the three wavelengths is ?2, and ?1??2.Type: ApplicationFiled: June 23, 2021Publication date: December 21, 2023Inventors: Jingjian GONG, Yangchun DENG, Weitao DING, Dean LIU, Gongtao LU
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Publication number: 20230408898Abstract: Disclosed are a projection optical path and a projection device. The projection optical path includes a first converged light of a first dual-light source system and a second converged light of a second dual-light source system; a first wavelength light, a second wavelength light, and a third wavelength light are respectively one of red light, green light, and blue light; a fourth wavelength light is within a wavelength range of the red light; the wavelength of the fourth wavelength light is defined as ?1; the wavelength of the one set as the red light among the first wavelength light, the second wavelength light, and the third wavelength light is ?2; ?1 is unequal to ?2; an excitation light source emits an excitation light; and the excitation light is emitted to the first dual-light source system or the second dual-light source system.Type: ApplicationFiled: June 21, 2021Publication date: December 21, 2023Inventors: Jingjian GONG, Yangchun DENG, Weitao DING, Dean LIU, Gongtao LU
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Publication number: 20230296971Abstract: The projection optical path comprises: a main optical path; and an auxiliary optical path, a third light source, and a fourth light source, wherein the light with the second wavelength, the light with the third wavelength and the light with the fourth wavelength are sequentially converged into the light with the first wavelength, wherein the light with the first wavelength, the light with the second wavelength and the light with the third wavelength are one of red light, green light, and blue light, respectively, wherein a wavelength range of the light with the fourth wavelength is within a wavelength range of the red light, and a wavelength of the light with the fourth wavelength is defined as ?1, and a wavelength of the red light among the light with the first wavelength, the light with the second wavelength and the light with the third wavelength is defined as ?2, and ?1??2.Type: ApplicationFiled: June 21, 2021Publication date: September 21, 2023Inventors: Jingjian GONG, Yangchun DENG, Weitao DING, Dean LIU, Gongtao LU
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Patent number: 11580135Abstract: Requests are received for handling by a cloud computing environment which are then executed by the cloud computing environment. While each request is executing, performance metrics associated with the request are monitored. A vector is subsequently generated that encapsulates information associated with the request including the text within the request and the corresponding monitored performance metrics. Each request is then assigned (after it has been executed) to either a normal request cluster or an abnormal request cluster based on which cluster has a nearest mean relative to the corresponding vector. In addition, data can be provided that characterizes requests assigned to the abnormal request cluster. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: November 4, 2020Date of Patent: February 14, 2023Assignee: SAP SEInventors: Deng Feng Wan, Yangchun Deng, Hui Zhang, Zuxing Wang
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Patent number: 11442947Abstract: A query is received that requests issues relevant to a user. Thereafter, a plurality of issues responsive to the query are retrieved. The retrieved issues are ranked using a first machine learning model to result in a first subset of the retrieved issues. The first subset of the retrieved issues are then ranked using a second, different machine learning model to result in a second subset of the retrieved issues which are a subset of the first subset of the retrieved issues. Data can then be provided which is responsive the query and includes at least a portion of the second subset of the retrieved issues. Related apparatus, systems, techniques and articles are also described.Type: GrantFiled: June 23, 2020Date of Patent: September 13, 2022Assignee: SAP SEInventors: Deng Feng Wan, Yangchun Deng, Zuxing Wang, Hui Zhang
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Publication number: 20220138227Abstract: Requests are received for handling by a cloud computing environment which are then executed by the cloud computing environment. While each request is executing, performance metrics associated with the request are monitored. A vector is subsequently generated that encapsulates information associated with the request including the text within the request and the corresponding monitored performance metrics. Each request is then assigned (after it has been executed) to either a normal request cluster or an abnormal request cluster based on which cluster has a nearest mean relative to the corresponding vector. In addition, data can be provided that characterizes requests assigned to the abnormal request cluster. Related apparatus, systems, techniques and articles are also described.Type: ApplicationFiled: November 4, 2020Publication date: May 5, 2022Inventors: Deng Feng Wan, Yangchun Deng, Hui Zhang, Zuxing Wang
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Publication number: 20220129745Abstract: Supervised learning creates and trains a model to predict resource consumption by a remote system. Historical time-series data (e.g., monitor logs of CPU consumption, memory consumption) are collected from systems called upon to perform a task. This raw data is transformed into a labeled data set ready for supervised learning. Using the labeled data set, a model is constructed to correlate the input data with a resulting load. The constructed model may be a Sequence to Sequence (Seq2Seq) model based upon Gated Recurrent Units of a Recurrent Neural Network. After training, the model is saved for re-use to predict future load based upon an existing input. For example, the existing input may be data from a most recent 24 hour period (hour0-hour23), and the output of the model may be the load predicted for the next 24 hour period (hour24-hour47). This prediction promotes efficient reservation remote server resources.Type: ApplicationFiled: October 27, 2020Publication date: April 28, 2022Inventors: Deng Feng Wan, Hui Zhang, Zuxing Wang, Yangchun Deng
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Publication number: 20210397625Abstract: A query is received that requests issues relevant to a user. Thereafter, a plurality of issues responsive to the query are retrieved. The retrieved issues are ranked using a first machine learning model to result in a first subset of the retrieved issues. The first subset of the retrieved issues are then ranked using a second, different machine learning model to result in a second subset of the retrieved issues which are a subset of the first subset of the retrieved issues. Data can then be provided which is responsive the query and includes at least a portion of the second subset of the retrieved issues. Related apparatus, systems, techniques and articles are also described.Type: ApplicationFiled: June 23, 2020Publication date: December 23, 2021Inventors: Deng Feng Wan, Yangchun Deng, Zuxing Wang, Hui Zhang