Abstract: A method and apparatus for operating an electronic device is provided. The method includes transmitting, to a cover device, graphical data for displaying of the cover device, and detecting a user input on a display of the electronic device, wherein the displaying on the display of the cover device is interrupted based on the user input, wherein the cover device is capable of being folded, and wherein the cover device includes a first surface on which the display is located, and a second surface on which the electronic device is mounted.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method and apparatus for processing a signal in a mobile device are provided. The method includes classifying signals transmitted and received between devices according to at least two predetermined rates, and transmitting and receiving the classified signals in connection lines supporting the at least two rates, respectively.

Abstract: A method and apparatus for operating an electronic device is provided. The method includes transmitting, to a cover device, graphical data for displaying of the cover device, and detecting a user input on a display of the electronic device, wherein the displaying on the display of the cover device is interrupted based on the user input, wherein the cover device is capable of being folded, and wherein the cover device includes a first surface on which the display is located, and a second surface on which the electronic device is mounted.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). The present invention relates to a method and an apparatus in a communication system. A method of a network node in the communication system comprises the steps of: measuring at least one factor value indicating channel link performance of a channel link between the network node and another network node; identifying a beamforming training scheme based on the at least one factor value; and performing beamforming training with the another network node by means of the selected beamforming training method, thereby finding an optimal beam for maintaining services through the most efficient method according to a channel state and minimizing the time consumed for beamforming training.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.

Abstract: The present disclosure relates to a pre-5th-Generation (5G) or 5G communication system to be provided for supporting higher data rates Beyond 4th-Generation (4G) communication system such as Long Term Evolution (LTE). The present invention relates to a method and an apparatus in a communication system. A method of a network node in the communication system comprises the steps of: measuring at least one factor value indicating channel link performance of a channel link between the network node and another network node; identifying a beamforming training scheme based on the at least one factor value; and performing beamforming training with the another network node by means of the selected beamforming training method, thereby finding an optimal beam for maintaining services through the most efficient method according to a channel state and minimizing the time consumed for beamforming training.

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 may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services. A method and apparatus for processing a signal in a mobile device are provided. The method includes classifying signals transmitted and received between devices according to at least two predetermined rates, and transmitting and receiving the classified signals in connection lines supporting the at least two rates, respectively.

Abstract: A method and apparatus for controlling power in a low-power multi-core system, including receiving task information from an Operation System (OS) kernel upon start and end of a task, estimating a future CPU usage using a current CPU usage in the task information, monitoring memory-related information in the task information, comparing a change in the current CPU usage with the monitored memory-related information, establishing a policy for power control based on the estimated CPU usage and the monitored memory-related information, and controlling on/off of multiple cores according to the established policy. By doing so, it is possible to solve the problems caused by performing DPM using only the CPU usage.

Abstract: A power control method of a Central Processing Unit (CPU) in a multi-core system. The power control method includes acquiring current usage information of the CPU and system information, estimating a CPU usage of a next time interval based on the acquired current usage information, calibrating the estimated CPU usage of the next time interval based on the acquired system information, and determining a power control mode based on at least one of the acquired system information and the calibrated CPU usage of the next time interval.

Abstract: A method and apparatus for controlling power in a low-power multi-core system, including receiving task information from an Operation System (OS) kernel upon start and end of a task, estimating a future CPU usage using a current CPU usage in the task information, monitoring memory-related information in the task information, comparing a change in the current CPU usage with the monitored memory-related information, establishing a policy for power control based on the estimated CPU usage and the monitored memory-related information, and controlling on/off of multiple cores according to the established policy. By doing so, it is possible to solve the problems caused by performing DPM using only the CPU usage.

Abstract: A power control method of a Central Processing Unit (CPU) in a multi-core system. The power control method includes acquiring current usage information of the CPU and system information, estimating a CPU usage of a next time interval based on the acquired current usage information, calibrating the estimated CPU usage of the next time interval based on the acquired system information, and determining a power control mode based on at least one of the acquired system information and the calibrated CPU usage of the next time interval.