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. The present disclosure provides a method for operating an electronic device. The method comprises transmitting a signal including a list of one or more objects, receiving a signal including beacon recognition information of at least one object included in the list of one or more objects, storing the beacon recognition information, and making a request for information on the at least one object to a server when receiving at least one beacon signal that matches with the stored beacon recognition information.
Abstract:
A method for operating an electronic device is provided. In the method, an electronic cover is connected. Configuration information of the electronic cover is obtained. A User Interface (UI) corresponding to the configuration information is set. Various other embodiments are also possible.
Abstract:
A method for displaying images is provided, including displaying, by an electronic device, a first image obtained from an image sensor; displaying, by the electronic device, a plurality of second images together with the first image, wherein each second image is generated based on the first image and a respective image filter; and responsive to a selection of at least one second image, generating a third image based on the first image and the selected second image's respective image filter and displaying the third image in place of the first image.
Abstract:
The present invention relates to an interleaving method for achieving a high error correction rate when burst errors are generated in an encoding process using a low density parity check (LDPC). The method comprises: generating more than one code word vector by generating parity information on the basis of a parity check matrix; dividing the generated code word vector into interleaving units, each having the size determined on the basis of bit lengths between 1s included in a row of the parity check matrix; and interleaving the more than one code word vector using the interleaving unit. Accordingly, reliability of error correction increases by determining the size of an optimum interleaving unit when an LDPC encoding process is performed.