Abstract: A coil component according to an aspect of the present disclosure includes a body including a magnetic material; a coil disposed in the body; an external electrode including a first layer connected to the coil and including at least one of Pd and Cr, a second layer disposed on the first layer and including Ni, and a third layer disposed on the second layer and including a conductive material and resin.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

Abstract: Disclosed herein are a floating-point computation apparatus and method using Computing-in-Memory (CIM).

Abstract: The present embodiment relates to a touch power management circuit and a touch driving system including the same, and more particularly, to a touch power management circuit that prevents unnecessary power consumption during a pen touch driving period in order to reduce power consumption of a display device, and a touch driving system including the same.

Abstract: The present embodiment relates to a touch power management circuit and a touch driving system including the same, and more particularly, to a touch power management circuit that prevents unnecessary power consumption during a pen touch driving period in order to reduce power consumption of a display device, and a touch driving system including the same.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

Abstract: A heterogeneous processor architecture for integrating a convolutional neural network (CNN) and a recurrent neural network (RNN) into a single high-performance, low-power chip in a neural network processor architecture, the heterogeneous processor architecture includes: an on-chip integrated circuit including a CNN operator for processing the CNN, an RNN operator for processing the RNN, an operation controller for performing control, a memory for storing data which is to be used by the operators, an interface for externally exchanging data, and a data bus through which data moves between constituent elements, wherein a fully-connected layer constituting the CNN performs data processing by sharing the RNN operator.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

Abstract: A dynamic imbalance detection system capable of whether a washing machine is in a dynamically imbalanced position by using big data and executing an AI algorithm or a machine learning algorithm in a 5G communications network environment built for IoT. The system includes a washing machine and a server communicating with the washing machine. The washing machine includes a vibration sensor attached to a washing machine cabinet and a controller receiving a vibration signal detected by the vibration sensor during the operation of the washing machine and processing the vibration signal into vibration data. The server receives the vibration data from the controller and trains a machine learning algorithm on a training dataset that is obtained by processing one or more features among a displacement magnitude, a displacement ratio, and a displacement phase, and determines result values of dynamic balance and dynamic imbalance labeled with the one or more features.

Abstract: A heterogeneous processor architecture for integrating a convolutional neural network (CNN) and a recurrent neural network (RNN) into a single high-performance, low-power chip in a neural network processor architecture, the heterogeneous processor architecture includes: an on-chip integrated circuit including a CNN operator for processing the CNN, an RNN operator for processing the RNN, an operation controller for performing control, a memory for storing data which is to be used by the operators, an interface for externally exchanging data, and a data bus through which data moves between constituent elements, wherein a fully-connected layer constituting the CNN performs data processing by sharing the RNN operator.

Abstract: A mobile communication terminal and method for providing intelligent vehicle information are disclosed. The mobile communication terminal includes a situation recognizing system for detecting real-time situational and pre-set reference, and a data transmission/reception unit for transmitting the detected situational and the pre-set reference information to a vehicle internal system.

Abstract: Remote control for a mobile terminal is provided. A remote control system of a mobile terminal includes a terminal configured to generate a streaming protocol request message based on a command inputted by a user and to transmit the streaming protocol request message to a mobile terminal. The remote control system also includes the mobile terminal communicatively coupled to the terminal, configured to receive the streaming protocol request message from the terminal, to extract information associated with a keypad input from the streaming protocol request message and to be controlled by the extracted information associated with a keypad input.