Patents by Inventor Hou Liu
Hou Liu 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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Publication number: 20240179653Abstract: A communication system includes a distributed unit (DU). The DU estimates distance information, converts the distance information into a transit time difference, and adjusts a transmission window according to the transit time difference, in which start and end points of the transmission window move according to the transit time difference.Type: ApplicationFiled: December 28, 2022Publication date: May 30, 2024Applicant: Industrial Technology Research InstituteInventors: Chiu-Ping Wu, Hsin-An Hou, Jen-Yuan Hsu, Chun-Nan Liu
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Publication number: 20240168932Abstract: A method for storing metadata and a configuration schema for each of a plurality of capabilities, and storing a plurality of catalogs, each catalog identifying the metadata and configuration schema associated with at least one of the plurality of capabilities. The method also includes receiving a request for implementation of one of the plurality of capabilities on a pluggable system, and associating, by a lifecycle manager and based on a catalog of the plurality of catalogs related to the request, the metadata and configuration schema related to the requested one of the plurality of capabilities with a domain specific capabilities controller compatible with the pluggable system.Type: ApplicationFiled: November 17, 2022Publication date: May 23, 2024Applicant: International Business Machines CorporationInventors: Ying Mo, Jian Huang, Guangya Liu, Hou Fang Zhao, Zhi Li, Xiaoli Duan, Yan Wei Li
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Publication number: 20240155070Abstract: A method for processing a video with a dynamic video-based super-resolution network and a circuit system are provided. In the method, quality scores used to assess a quality of an input video are calculated based on image features of the input video. A moving average algorithm is performed on the quality scores of multiple frames of the input video for obtaining a moving average score. Two corresponding weight tables are selected according to the moving average score. The two weight tables are used to calculate a blending weight that is applied to a neural network super-resolution algorithm. The blending weight is applied to the neural network super-resolution algorithm, so as to produce an output video.Type: ApplicationFiled: November 6, 2023Publication date: May 9, 2024Inventors: KANG-YU LIU, CHON-HOU SIO, CHIA-WEI YU, HAO-RAN WANG
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Publication number: 20240145624Abstract: A pixel herein includes a color panel, a light emitting diode (LED) panel, and an adhesive layer disposed between the color panel and the LED panel. The color panel includes a transparent layer, a plurality of sub-pixel isolation structures, and a plurality of black matrix structures disposed between the plurality of sub-pixel isolation structures and the transparent layer. The sub-pixel isolation structures define a plurality color conversion wells of plurality of sub-pixels. A color conversion material is disposed in the color conversion well. The plurality of black matrix structures define a plurality of color resist wells of the plurality of sub-pixels. A color resist is disposed in the color resist wells. The LED panel includes a plurality of micro-LEDs disposed on a backplane. The plurality of micro-LEDs correspond to a sub-pixel.Type: ApplicationFiled: October 24, 2023Publication date: May 2, 2024Inventors: Peiwen LIU, Hyunsung BANG, Jianfeng SUN, Lisong XU, Zhiyong LI, Sivapackia GANAPATHIAPPAN, Mingwei ZHU, Hou T. NG, Nag. B. PATIBANDLA
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Publication number: 20240119559Abstract: The present disclosure discloses an image enlarging apparatus having deep learning mechanism. A deep learning circuit includes an image downsizing circuit, an image characteristic analyzing circuit, a weighting reallocating circuit and an image upsizing circuit. The image downsizing circuit downsizes an input image to generate a downsized image. The image characteristic analyzing circuit analyzes the downsized image according to image characteristics to generate categorized images. The weighting reallocating circuit performs weighting reallocating on the categorized images according to image weighting parameters corresponding to the image characteristics to generate weighting reallocated images. The image upsizing circuit upsizes the weighting reallocated images to generate adjusted images. A concatenating circuit concatenates the input image and the adjusted images to generate concatenated images.Type: ApplicationFiled: October 3, 2023Publication date: April 11, 2024Inventors: CHON-HOU SIO, CHIA-WEI YU, KANG-YU LIU, YEN-YING CHEN
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Patent number: 11934481Abstract: Embodiments of the present invention disclose a matrix multiplier, and relate to the field of data computing technologies, so as to divide two matrices into blocks for computation. The matrix multiplier includes: a first memory, a second memory, an operation circuit, and a controller, where the operation circuit, the first memory, and the second memory may perform data communication by using a bus; and the controller is configured to control, according to a preset program or instruction, a first matrix and a second matrix to be divided into blocks, and control the operation circuit to perform a multiplication operation on corresponding blocks in the first memory and the second memory based on block division results of the controller. The matrix multiplier may be configured to perform a multiplication operation on two matrices.Type: GrantFiled: April 20, 2022Date of Patent: March 19, 2024Assignee: HUAWEI TECHNOLOGIES CO., LTD.Inventors: Hu Liu, Heng Liao, Jiajin Tu, Honghui Yuan, Hou Fun Lam, Fan Zhu
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Publication number: 20220413891Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: July 11, 2022Publication date: December 29, 2022Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20220291941Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: May 24, 2022Publication date: September 15, 2022Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Patent number: 11385920Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: GrantFiled: March 28, 2019Date of Patent: July 12, 2022Assignee: Amazon Technologies, Inc.Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Patent number: 11372663Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: GrantFiled: March 28, 2019Date of Patent: June 28, 2022Assignee: Amazon Technologies, Inc.Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Patent number: 11360795Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: GrantFiled: March 28, 2019Date of Patent: June 14, 2022Assignee: Amazon Technologies, Inc.Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Patent number: 11138049Abstract: Techniques for an optimization service of a service provider network to provide users with machine-generated narratives that include human-intelligible, credible, and transparent recommendations and rationales for recommended VM instance types. The optimization service may gather various information or data about the workload, such as utilization characteristics of the underlying computing resources, and decompose the workloads through a number of dimensions that can be used to describe the workload. Further, the optimization service may analyze the utilization characteristics and/or other data to determine more optimized VM instance types for the workloads that are to be recommended to the users, and also rationales that describes why each recommendation is an appropriate fit for the workload being assessed.Type: GrantFiled: June 24, 2019Date of Patent: October 5, 2021Assignee: Amazon Technologies, Inc.Inventors: Malcolm Featonby, John Merrill Phillips, Leslie Johann Lamprecht, Roberto Pentz De Faria, Hou Liu, Umesh Chandani, Ladan Mahabadi, Letian Feng
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Patent number: 11128696Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: GrantFiled: March 28, 2019Date of Patent: September 21, 2021Assignee: Amazon Technologies, Inc.Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Patent number: 11068312Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: GrantFiled: March 28, 2019Date of Patent: July 20, 2021Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20200310851Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20200314171Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20200310852Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20200310876Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20200310853Abstract: Techniques for an optimization service of a service provider network to help optimize the selection, configuration, and utilization, of virtual machine (VM) instance types to support workloads on behalf of users. The optimization service may implement the techniques described herein at various stages in a life cycle of a workload to help optimize the performance of the workload, and reduce underutilization of computing resources. For example, the optimization service may perform techniques to help new users select an optimized VM instance type on which to initially launch their workload. Further, the optimization service may monitor a workload for the life of the workload, and determine new VM instance types, and/or configuration modifications, that optimize the performance of the workload. The optimization service may provide recommendations to users that help improve performance of their workloads, and that also increase the aggregate utilization of computing resources of the service provider network.Type: ApplicationFiled: March 28, 2019Publication date: October 1, 2020Inventors: Malcolm Featonby, Leslie Johann Lamprecht, John Merrill Phillips, Umesh Chandani, Roberto Pentz De Faria, Hou Liu, Ladan Mahabadi, Letian Feng
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Publication number: 20060263499Abstract: Water is slowly added to dry grain having a water content previously adjusted to 10% to 15% at a water addition rate of 0.5% to 2.0%/h, in order to provide a water content of 20% to 30%, and thereafter, the grain is placed into a tank, followed by tempering for 2 to 15 hours.Type: ApplicationFiled: July 30, 2004Publication date: November 23, 2006Inventors: Toshiko Satake, Takeshi Fukumori, Shigeharu Kanemoto, Hou Liu, Yasuhiro Sasaki, Motonobu Kawano, Hiroto Shinmura, Hiromichi Aoto, Kota Nakagawa, Kenichi Ishiwata