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公开(公告)号:US11861395B2
公开(公告)日:2024-01-02
申请号:US17169400
申请日:2021-02-05
Applicant: Samsung Electronics Co., Ltd.
Inventor: Ganji Manoj Kumar , Jaitirth Anthony Jacob , Rishabh Raj , Vaisakh Punnekkattu Chirayil Sudheesh Babu , Renju Chirakarotu Nair , Hakryoul Kim , Shweta Ratanpura , Tarun Gopalakrishnan , Sriram Shashank , Raju Suresh Dixit , Youngjoo Jung
CPC classification number: G06F9/4856 , G06F9/5016 , G06F9/5088 , G06N20/00 , G06F2209/508
Abstract: A method for managing memory for applications in a computing system includes receiving a selection of a preferred application. During user-controlled operation over the application, the transitions of selected application between foreground and background are monitored. A retention of the application in memory is triggered upon a transition of the application to background during the user operation. Retention of the application includes compressing memory portions of the application. Accordingly, the application is retained within the memory based on said compressed memory portions. A requirement to restore the retained application is sensed based on either a user selection or an automatically generated prediction and the application is restored from the retained state back to the foreground.
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公开(公告)号:US20230377717A1
公开(公告)日:2023-11-23
申请号:US18228455
申请日:2023-07-31
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Barath Raj KANDUR RAJA , Sumit Kumar , Sriram Shashank , Harichandahana Bhogaraju Sawaraja Sai , Chinmay Anand , Jayesh Rajkumar Vachhani , Ankita Bhardwaj , Shwetank Choudhary , Srishti Malaviya , Tarun Gopalakrishnan , Dwaraka Bhamidipati Sreevastsa
CPC classification number: G16H20/70 , G06F11/3438
Abstract: Provided is a method for predicting emotion of a user by an electronic device. The method includes receiving, by the electronic device, a user context, a device context and an environment context from the electronic device and one or more other electronic device connected to the electronic device and determining, by the electronic device, a combined representation of the user context, the device context and the environment context. The method also includes determining, by the electronic device, a plurality of user characteristics based on the combined representation of the user context, the device context and the environment context; and predicting, by the electronic device, an emotion of the user based on the combined representation of the user context, the device context, the environment context and the plurality of user characteristics.
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