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公开(公告)号:US11628360B2
公开(公告)日:2023-04-18
申请号:US16727666
申请日:2019-12-26
Applicant: Samsung Electronics Co., Ltd.
Inventor: Huaiwei Ju , Hua Liu , Kun Zhou , Yong Huang , Yuan Li , Chao Zhu , Chengming Xia , Wenfang Zhao , Ying Wang , Jingyang Jia , Pan Wang
IPC: A63F13/493 , G06F9/4401 , G06F9/50 , G06N20/00 , G06N5/04 , A63F13/48
Abstract: A method and apparatus for controlling game applications are provided. In the method, when an operating system receives a game starting command, the operating system determines a manner to start a corresponding game application according to whether the game application has resided in a memory, and when a cold boot manner is used, the operating system triggers the game application to report an amount of memory required currently by the game application, and determines whether a requirement of running the game application is met according to the amount of memory required and an amount of memory currently used, or the operating system ensures to meet the requirement of running the game application through background application freezing and clearing. When the game application finishes running, the operating system uses a pre-trained machine learning model to predict running hotness of the game application on the terminal device according to a current operating parameter of the game application, sorts game applications on the terminal device according to the running hotness, and performs a corresponding residing process when determining that the game application needs to reside in the memory according to a sorting result. The method can efficiently shorten the time cost to start the game application.
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公开(公告)号:US11755098B2
公开(公告)日:2023-09-12
申请号:US17418596
申请日:2019-12-27
Applicant: Samsung Electronics Co., Ltd.
Inventor: Hai Sun , Wei Su , Yi Jiang , Zhigang Dong , Hua Liu , Chunhai Liu , Xiaokai Tang
CPC classification number: G06F1/329 , G06F9/4893 , G06F11/302 , G06F11/3495
Abstract: The disclosure discloses an intelligent terminal energy saving method based on artificial intelligence (AI) prediction. The method includes: collecting application (APP)-related operation data on the intelligent terminal; carrying out AI analysis on the APP-related operation data collected, to predict timing and a restriction measurement to restrict an APP in a background; and adopting the restriction measurement to restrict the APP in the background at the timing predicted. Corresponding to the method, the disclosure further discloses an intelligent terminal energy saving device based on AI prediction. Using the technical schemes disclosed in the disclosure, the power consumption of applications on a portable intelligent terminal can be reduced, and the battery life can be extended, without affecting the user experience.
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