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公开(公告)号：US12223350B2
公开(公告)日：2025-02-11
申请号：US17464975
申请日：2021-09-02
Applicant: Quanta Computer Inc.
Inventor： Chen-Chung Lee , Chun-Hung Chen , Chien-Kuo Hung , Wen-Kuang Chen , En-Chi Lee
Abstract: A process operating system includes a process control platform, a process operation platform and an endpoint task robot. The process control platform is configured to receive operation information, extract a task from the operation information using a semantic analysis method, and publish the task. The process operation platform is configured to receive the task and store the task in a task queue. After receiving the task, the process operating platform defines a processing flow based on the task, and sorts the order of the task in the task queue. The endpoint task robot is configured to automatically obtain the task from the process operation platform, executes the task according to the processing flow. It then writes the execution result into the log queue and transmits the execution result to the process control platform.
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公开(公告)号：US11983726B2
公开(公告)日：2024-05-14
申请号：US17000681
申请日：2020-08-24
Applicant: Quanta Computer Inc.
Inventor： Wen-Kuang Chen , Chien-Kuo Hung , Chun-Hung Chen , Chen-Chung Lee
IPC: G06Q30/02 , G06Q30/0202 , G06V10/44 , G06V10/764 , G06V10/82 , G06Q50/12
CPC classification number: G06Q30/0202 , G06V10/454 , G06V10/764 , G06V10/82 , G06Q50/12
Abstract: A consumption prediction method includes the following steps: calculating a personal preference correlation coefficient; inputting historical environment data, a historical consumption record and the personal preference correlation coefficient into a first neural network model; a training model is generated by the first neural network model; and determining whether the accuracy rate of the training model is higher than the training threshold. When the accuracy rate of the training model is higher than the training threshold, the training model is regarded as a prediction model.
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公开(公告)号：US10931647B2
公开(公告)日：2021-02-23
申请号：US16200867
申请日：2018-11-27
Applicant: Quanta Computer Inc.
Inventor： Mao-Tien Kung , Chia-Chen Chiang , Meng-Yu Li , Chun-Hung Chen , Chen-Chung Lee
Abstract: The data forwarding system includes a data storage device and a server. The data storage device is configured to store shared data uploaded by a first developer via a first terminal device. The server includes a processor which can load program codes to execute: a forwarding procedure for forwarding the shared data to a receiving device; a forwarding setting procedure for enabling the developer to apply forwarding settings to the shared data; a data processing procedure for executing the necessary data processing before forwarding the shared data; and a forwarding condition verification procedure for examining whether the shared data conforms to the forwarding settings.
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公开(公告)号：US10275286B2
公开(公告)日：2019-04-30
申请号：US15651135
申请日：2017-07-17
Applicant: Quanta Computer Inc.
Inventor： Wen-Kuang Chen , Chun-Hung Chen , Chien-Kuo Hung , Chen-Chung Lee
Abstract: A management method of cloud resources is provided for use in a hybrid cloud system with first and second cloud systems, wherein the first cloud system includes first servers operating first virtual machines (VMs) and the second cloud system includes second servers operating second VMs, the method including the step of: collecting, by a resource monitor, performance monitoring data of the first VMs within the first servers; analyzing, by an analysis and determination device, the performance monitoring data collected to automatically send a trigger signal in response to determining that a predetermined trigger condition is met, wherein the trigger signal indicates a deployment target and a deployment type; and automatically performing, by a resource deployment device, an operation corresponding to the deployment type on the deployment target in the second cloud system in response to the trigger signal.
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公开(公告)号：US20160139940A1
公开(公告)日：2016-05-19
申请号：US14635274
申请日：2015-03-02
Applicant: Quanta Computer Inc.
Inventor： Wen-Kuang Chen , Chun-Hung Chen , Chien-Kuo Hung , Tien-Chin Fang , Chen-Chung Lee
IPC: G06F9/455
CPC classification number: G06F9/45558 , G06F2009/45562 , G06F2009/45591
Abstract: A system for creating virtual machines, adapted to a virtual management platform, includes a configuration module, a selection module, a determination module and a distribution module. The configuration module creates a plurality of virtual sections according to the resource specifications. The selection module selects one of the virtual sections according to the customized specifications. The determination module creates a virtual section-setting profile according to the customized specifications. The determination module further calculates the quantity of the remaining resources of the virtual section, and determines whether the quantity of the customized specifications will exceed the remaining resources or not. When the quantity of the customized specifications does not exceed the quantity of the remaining resources, the distribution module creates a virtual machine in the virtual section according to the virtual section-setting profile.
Abstract translation: 一种用于创建适于虚拟管理平台的虚拟机的系统，包括配置模块，选择模块，确定模块和分配模块。 配置模块根据资源规格创建多个虚拟段。 选择模块根据定制规格选择一个虚拟部分。 确定模块根据定制的规格创建虚拟剖面设置曲线。 确定模块还计算虚拟部分的剩余资源的数量，并且确定定制规格的数量是否超过剩余的资源。 当定制规格的数量不超过剩余资源的数量时，分配模块根据虚拟截面设置简档在虚拟部分中创建一个虚拟机。
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Patent Agency Ranking
公开(公告)号：US20140047447A1
公开(公告)日：2014-02-13
申请号：US13872344
申请日：2013-04-29
Applicant: QUANTA COMPUTER INC.
Inventor： Tien-Chin Fang , Chen-Chung Lee , Chun-Hung Chen , Meng-Yu Li , Ta-Feng Teng , Chia-Chen Chiang , Yu-Jen Lin
CPC classification number: G06F9/46 , G06F9/44521 , G06F9/4881
Abstract: A work scheduling method implemented via a cloud platform is provided. The work scheduling method is used in a cloud platform work schedule system. The method includes: arranging, by a developing interface of a developing module, a work schedule; generating, by the developing module, a dynamic linking library (DLL) which corresponds to the work schedule and uploading the dynamic linking library to the cloud platform through the internet; transferring, by a disposing module, the dynamic linking library to a Application service; computing, by a scheduling module, a scheduling time according to the work schedule; and executing, by an executing module, the application service according to the scheduling time.
Abstract translation: 提供了通过云平台实现的工作调度方法。 工作调度方法用于云平台工作进度系统。 该方法包括：通过开发模块的开发界面布置工作进度; 由开发模块生成与工作计划相对应的动态链接库（DLL），并通过互联网将动态链接库上传到云平台; 通过处理模块将动态链接库转移到应用服务; 由调度模块根据工作进度计算调度时间; 并且由执行模块根据调度时间执行应用服务。
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公开(公告)号：US11610155B2
公开(公告)日：2023-03-21
申请号：US16984354
申请日：2020-08-04
Applicant: Quanta Computer Inc.
Inventor： Chia-Chen Chiang , Meng-Yu Li , Chun-Hung Chen , Chen-Chung Lee
Abstract: A data processing method includes the following steps: generating a machine-learning parameter and obtaining a storage parameter code, wherein the storage parameter code corresponds to a storage space; receiving the machine-learning parameter and the storage parameter code, and storing the machine-learning parameter in the storage space according to the storage parameter code, and generating an event notification when the machine-learning parameter is modified; and generating a loading request according to the event notification, and the loading request is used to request the modified machine-learning parameter, wherein after the loading request is generated, the modified machine-learning parameter is downloaded from the storage space corresponding to the storage parameter code.
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公开(公告)号：US10791039B2
公开(公告)日：2020-09-29
申请号：US16211363
申请日：2018-12-06
Applicant: Quanta Computer Inc.
Inventor： Chen-Chung Lee , Chun-Hung Chen , Chien-Kuo Hung , Wen-Kuang Chen , En-Chi Lee
Abstract: A cloud service system includes a hardware resource, a storage device, and a controller. The hardware resource is installed with a system, and a software container is instantiated for cloud service execution on the hardware resource. The storage device stores a plurality of libraries, each of which is associated with a respective version of the system. The controller determines a first version of the system according to a deployment request, determines whether one of the libraries is associated with the first version, and selects one of the libraries for instantiating the software container according to a selection history of the libraries in response to none of the libraries being associated with the first version.
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公开(公告)号：US10523508B2
公开(公告)日：2019-12-31
申请号：US15631111
申请日：2017-06-23
Applicant: Quanta Computer Inc.
Inventor： Tsai-Hsing Lu , Wen-Kuang Chen , Chien-Kuo Hung , Chun-Hung Chen , Chen-Chung Lee
IPC: G06F15/173 , H04L12/24 , H04L29/08 , H04L12/26
Abstract: A monitoring management system is provided to perform a monitoring operation including: detecting a system configuration of an application server; determining whether the system configuration is compliant with a monitoring rule corresponding to the application server; generating a monitoring configuration when the system configuration is compliant with the monitoring rule; and allocating at least one monitoring server to monitor the application server according to the monitoring configuration.
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公开(公告)号：US12198458B2
公开(公告)日：2025-01-14
申请号：US18045855
申请日：2022-10-12
Applicant: Quanta Computer Inc.
Inventor： Chen-Chung Lee , Chia-Hung Lin , Chun-Hung Chen , Chien-Kuo Hung , Wen-Kuang Chen , En-Chi Lee
IPC: G06V30/19
Abstract: A character recognition method includes the stages as detailed in the following paragraph. An image is received, wherein the image is one in a plurality of consecutive images. A target object in the image is detected. Object information of the target object is defined according to the area ratio of the target object occupied in the image. Whether the target object in the image is the same as the target object in the previous image is determined according to the object information. Character recognition on the target object is performed to obtain a recognition result. The weighting score of the recognition result is calculated according to the object information and the recognition result. The weighting score of the recognition result of the target object in the consecutive images is accumulated until the weighting score is higher than a preset value, and the recognition result is output.
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