17961873. ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF simplified abstract (Samsung Electronics Co., Ltd.)
Contents
ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
Organization Name
Inventor(s)
ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 17961873 titled 'ELECTRONIC APPARATUS AND CONTROL METHOD THEREOF
Simplified Explanation
The disclosed electronic apparatus is designed to control a washing machine based on user behavior and environmental factors. It includes a memory storing two neural network models and a processor to control the apparatus. Here are the key points:
- The electronic apparatus has a memory storing two neural network models and a processor to control it.
- The processor obtains context information of a user, operation information, and environment information of a washing machine.
- The first neural network model is used to identify the active time and inactive time of the user based on the context information.
- The second neural network model takes the operation and environment information as input and provides freezing probabilities for different time zones of the washing machine.
- The processor identifies a freezing probability greater than or equal to a threshold freezing probability during the active and inactive times based on the obtained freezing probabilities.
Potential applications of this technology:
- Smart washing machines that can adapt their operation based on user behavior and environmental factors.
- Energy-efficient washing machines that optimize freezing cycles based on user activity patterns.
- Improved user experience by automatically adjusting washing machine settings to suit user preferences.
Problems solved by this technology:
- Inefficient use of energy and resources in washing machines due to lack of user behavior and environmental awareness.
- Inconvenience for users who have to manually adjust washing machine settings based on their activity patterns.
- Potential damage to clothes if freezing cycles are not properly timed.
Benefits of this technology:
- Energy savings by optimizing freezing cycles based on user behavior and environmental factors.
- Enhanced user convenience by automatically adjusting washing machine settings.
- Improved clothing care by ensuring freezing cycles are properly timed.
Original Abstract Submitted
Disclosed is an electronic apparatus which includes a memory storing a first neural network model and a second neural network model; and a processor connected to the memory configured to control the electronic apparatus, and the processor may obtain context information of a user, operation information, and environment information of a washing machine, identify an active time and an inactive time of the user by inputting the context information into the first neural network model, obtain one or more freezing probabilities by time zones of the washing machine by inputting the operation information and the environment information into the second neural network model based on a current point in time being within the active time, and identify a freezing probability greater than or equal to a threshold freezing probability during the active time and the inactive time based on the obtained one or more freezing probabilities by time zones.
