Abstract: A food management system includes a computing apparatus, and a refrigerator including a storage chamber and configured to transmit an image of the storage chamber to the computing apparatus. The computing apparatus may include a communication device; and a processing device configured to identify a food from an image received from the refrigerator through the communication device and to transmit information related to the food identified by the refrigerator through the communication device. The processing device may identify the food using different processes from different images.

Abstract: A food management system includes a computing apparatus, and a refrigerator including a storage chamber and configured to transmit an image of the storage chamber to the computing apparatus. The computing apparatus may include a communication device; and a processing device configured to identify a food from an image received from the refrigerator through the communication device and to transmit information related to the food identified by the refrigerator through the communication device. The processing device may identify the food using different processes from different images.

Abstract: A refrigerator and a method of controlling the same are capable of controlling photography of a camera provided in the refrigerator and transmission of an image on the basis of opening and closing of a door and an acquired image to prevent personal information from leaking through the camera. The refrigerator includes a door rotatably coupled to a main body to open and close a storage compartment provided inside the main body, a camera configured to capture an image of an inside of the storage compartment; and a switch part configured to make a contact with the door and in response to the door being opened, interrupt supply of power for operating the camera.

Abstract: Disclosed is an electronic device. The electronic device includes a first calculation unit performing one neural network operation of a plurality of neural network operations, a second calculation unit including a hardware accelerator performing a specified neural network operation, and an interface controller connected between the first calculation unit and the second calculation unit. Moreover, various embodiment found through the disclosure are possible.

Abstract: The present disclosure relates to a sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure provides intelligent services based on a variety of technologies, such as a smart home, a smart building, a smart city, a smart car, a connected car, a health care, a digital education, a smart retail, security and safety services. An apparatus and method for executing a task of an electronic device are provided. The apparatus includes a communication interface configured to receive state information associated with the electronic device from the electronic device, and a processor configured to determine whether to execute a specific task in the electronic device or a mobile terminal based on the state information about the electronic device and state information about the mobile terminal, and to indicate a result of the determination to the electronic device through the communication interface.

Abstract: In the hydraulic pump according to the present invention, a straight path among the paths, through which the fluid flows within the hydraulic pump, and a connection point on the straight path are formed to have curvatures, so that it is possible to prevent stress from being concentrated to the connection point, thereby improving durability, and it is possible to manufacture the hydraulic pump by forming a casting shape with a curvature in advance, thereby decreasing additional machining and decreasing costs of a product.

Abstract: The present disclosure relates to a method and an apparatus for allocating interruptions in a multi-core system. A method for allocating interruptions in a multi-core system according to one embodiment of the present disclosure comprises: an interrupt load extraction step of extracting interrupt loads of each interruption type; a step of extracting task loads of each core; a weighting factor determination step of determining weighting factors using a difference between task loads of the cores; a step of reflecting weighting factors to extract a converted value of the interrupt load; and an interruption allocation step of allocating interruption types to the cores such that the sums of the converted values of the interrupt loads allocated to each core and the allocated task loads are uniform. According to one embodiment of the present disclosure, interruptions can be allocated such that both task processing and interruption processing can be performed in an efficient manner.

Abstract: The present disclosure relates to a sensor network, machine type communication (MTC), machine-to-machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure provides intelligent services based on a variety of technologies, such as a smart home, a smart building, a smart city, a smart car, a connected car, a health care, a digital education, a smart retail, security and safety services. An apparatus and method for executing a task of an electronic device are provided. The apparatus includes a communication interface configured to receive state information associated with the electronic device from the electronic device, and a processor configured to determine whether to execute a specific task in the electronic device or a mobile terminal based on the state information about the electronic device and state information about the mobile terminal, and to indicate a result of the determination to the electronic device through the communication interface.

Abstract: The present disclosure relates to a method and an apparatus for allocating interruptions in a multi-core system. A method for allocating interruptions in a multi-core system according to one embodiment of the present disclosure comprises: an interrupt load extraction step of extracting interrupt loads of each interruption type; a step of extracting task loads of each core; a weighting factor determination step of determining weighting factors using a difference between task loads of the cores; a step of reflecting weighting factors to extract a converted value of the interrupt load; and an interruption allocation step of allocating interruption types to the cores such that the sums of the converted values of the interrupt loads allocated to each core and the allocated task loads are uniform. According to one embodiment of the present disclosure, interruptions can be allocated such that both task processing and interruption processing can be performed in an efficient manner.