Abstract: A memory storage device that performs real-time monitoring is provided. The memory storage device comprises a memory controller, and a status indicating module/circuit, wherein the memory controller is configured to perform a first a second initialization operation, the first and second initialization operations performed in response to turning-on of the memory storage device, to generate a first status parameter regarding a status of the memory storage device in which the first initialization operation is performed, and to generate a second status parameter regarding the status of the memory storage device in which a second initialization operation is performed. The status indicating circuit includes a first transistor configured to operate on the basis of the first status parameter, a first resistor connected to the first transistor, a second transistor configured to operate on the basis of the second status parameter, and a second resistor connected to the second transistor.

Abstract: A learning method for improving performance of a knowledge graph embedding model is provided. The method includes: performing learning of a first knowledge graph embedding model based on input knowledge data; extracting all embedding vectors from the learned first knowledge graph embedding model, and extracting prior knowledge based on the extracted embedding vectors; and performing learning of a second knowledge graph embedding model through at least one of initialization of the embedding vectors and transform of the input knowledge data based on the extracted prior knowledge.

Abstract: The present invention provides a multiclass classification apparatus and method robust to imbalanced data, which generate artificial data of a minority class on the basis of an over-sampling technique based on adversarial learning to balance imbalanced data and performs multiclass classification robust to imbalanced data by using corresponding data in class classification learning without additionally collecting data.

Abstract: Disclosed herein is a cooking apparatus and a control method thereof. The cooking apparatus includes first and second coils arranged in a first column, third and fourth coils arranged in a second column, a plurality of inverters configured to supply a drive current to the first, second third and fourth coils, a plurality of rectifiers configured to supply direct current (DC) power to the plurality of inverters, a plurality of switches configured to connect each of the plurality of rectifiers to any one of a first external power supply and a second external power supply, and a controller configured to control the plurality of switches wherein the first external power supply supplies power to at least one of the first, second, third, and fourth coils and the second external power supply supplies power to at least one of the first, second, third, and fourth coils.

Abstract: A self-evolving agent-based simulation system generates model evolution strategy for applying a difference between real-data and a simulation resulting value to a simulation model, and reconstructing components included in the simulation module using the model evolution strategy to evolve the simulation model when the difference between the real-data and the simulation resulting value of the agent-based simulation model does not satisfy a value in a predetermined error range.

Abstract: A multi-layered knowledge base system and a processing method thereof are provided. In the system, semantic space learning of converting learning data into a semantic vector, which is a vector of semantic space, by learning a transformation function based on a plurality of learning data is performed. Then, relational knowledge learning of acquiring a relation between the semantic vectors by learning a relation function based on the semantic vectors obtained by the semantic space learning is performed. The acquired relation is converted into graph knowledge. The graph knowledge uses the relation as an edge and the semantic vector corresponding to the relation as a node.

Abstract: A cooking apparatus and a method for controlling the cooking apparatus are provided. The cooking apparatus includes induction heating coils that include a high power burner in which a first heating coil and a second heating coil are concentric. The cooking apparatus includes a low power burner that includes a third heating coil and a fourth heating coil, a power supply unit that includes a first AC power supply unit and a second AC power supply unit which have a different phase from each other, and a coil driving unit that provides power supplied by the first AC power supply unit to the first heating coil, and provides power supplied by the second AC power supply unit to at least one of the second heating coil, the third heating coil, and the fourth heating coil.

Abstract: An induction heating cooker includes at least one burner including a coil; a handling portion provided in a predetermined area separated from the burner, and including an input section for receiving a user's control and a first display for displaying information corresponding to the user's control; at least one second display provided in an area separated from the handling portion; and a controller configured to control the second display to display cooking information about the burner.

Abstract: A system and method for calibrating a simulation model based on a framework. The system includes a calibration parameter value generating processor configured to generate a value of a first calibration parameter for calibrating microdata and a value of a second calibration parameter for calibrating a simulating processor; an initial data generating processor configured to determine a missing value of the microdata based on the value of the first calibration parameter to generate initial data; and the simulating processor configured to simulate based on the initial data and the value of the second calibration parameter.

Abstract: The preset invention is directed to a building energy management system and method, more specifically to a building energy management system and method that can quickly detect and control an abnormal situation or an emergency situation that may occur within a building.

Abstract: Disclosed herein is a cooking apparatus and a control method thereof. The cooking apparatus includes first and second coils arranged in a first column, third and fourth coils arranged in a second column, a plurality of inverters configured to supply a drive current to the first, second third and fourth coils, a plurality of rectifiers configured to supply direct current (DC) power to the plurality of inverters, a plurality of switches configured to connect each of the plurality of rectifiers to any one of a first external power supply and a second external power supply, and a controller configured to control the plurality of switches wherein the first external power supply supplies power to at least one of the first, second, third, and fourth coils and the second external power supply supplies power to at least one of the first, second, third, and fourth coils.

Abstract: A cooking apparatus and a method for controlling the cooking apparatus are provided. The cooking apparatus includes induction heating coils that include a high power burner in which a first heating coil and a second heating coil are concentric. The cooking apparatus includes a low power burner that includes a third heating coil and a fourth heating coil, a power supply unit that includes a first AC power supply unit and a second AC power supply unit which have a different phase from each other, and a coil driving unit that provides power supplied by the first AC power supply unit to the first heating coil, and provides power supplied by the second AC power supply unit to at least one of the second heating coil, the third heating coil, and the fourth heating coil.

Abstract: Disclosed is an induction heating cooker comprising: at least one burner comprising a coil; a handling portion provided in a predetermined area separated from the burner, and comprising an input section for receiving a user's control and a first display for displaying information corresponding to the user's control; at least one second display provided in an area separated from the handling portion; and a controller configured to control the second display to display cooking information about the burner.

Abstract: A self-evolving agent-based simulation system generates model evolution strategy for applying a difference between real-data and a simulation resulting value to a simulation model, and reconstructing components included in the simulation module using the model evolution strategy to evolve the simulation model when the difference between the real-data and the simulation resulting value of the agent-based simulation model does not satisfy a value in a predetermined error range.

Abstract: A cooking apparatus and a method for controlling the cooking apparatus are provided. The cooking apparatus includes induction heating coils that include a high power burner in which a first heating coil and a second heating coil are concentric. The cooking apparatus includes a low power burner that includes a third heating coil and a fourth heating coil, a power supply unit that includes a first AC power supply unit and a second AC power supply unit which have a different phase from each other, and a coil driving unit that provides power supplied by the first AC power supply unit to the first heating coil, and provides power supplied by the second AC power supply unit to at least one of the second heating coil, the third heating coil, and the fourth heating coil.

Abstract: A device for distributing a load and managing power of a virtual server cluster includes a monitoring unit configured to monitor a load distribution condition on server nodes included in a server cluster and a dynamic state of each of the server nodes, a server node information storage unit configured to store static state information of each of the server nodes, a policy determination unit configured to determine a load distribution policy and a power management policy for each of the server nodes using monitoring information and the static state information stored in the server node information storage unit, and a controller configured to control conversion of each of the server nodes into an active state or an inactive state according to the power management policy, and distribution of a load of a service request requested by a service client to activated server nodes according to the load distribution policy.

Abstract: Disclosed are a smart learning system using a device social relation and a method thereof. The smart learning system includes a first device that generates a device social relation and shares learning content, and at least one second device that executes an event related to the learning content by acquiring the shared learning content when is included in the device social relation.

Abstract: The preset invention is directed to a building energy management system and method, more specifically to a building energy management system and method that can quickly detect and control an abnormal situation or an emergency situation that may occur within a building.

Abstract: A device for distributing a load and managing power of a virtual server cluster includes a monitoring unit configured to monitor a load distribution condition on server nodes included in a server cluster and a dynamic state of each of the server nodes, a server node information storage unit configured to store static state information of each of the server nodes, a policy determination unit configured to determine a load distribution policy and a power management policy for each of the server nodes using monitoring information and the static state information stored in the server node information storage unit, and a controller configured to control conversion of each of the server nodes into an active state or an inactive state according to the power management policy, and distribution of a load of a service request requested by a service client to activated server nodes according to the load distribution policy.

Abstract: A smart device includes a storage unit storing identity information of a counterpart device, a sensing unit sensing an approach by the counterpart device, a control unit determining whether the counterpart device sensed by the sensing unit corresponds to the identity information stored in the storage unit, and a combining processing unit combining a resource of the counterpart device if the counterpart device is determined by the control unit to correspond to the identity information.