Abstract: An image encoding/decoding method and apparatus for performing intra prediction mode based intra prediction are provided. An image decoding method may comprise decoding an intra prediction mode of a current block, deriving at least one intra prediction mode from the decoded intra prediction mode of the current block, generating two or more intra prediction blocks using the intra prediction mode of the current block and the derived intra prediction mode, and generating an intra prediction block of the current block based on the two or more intra prediction blocks.

Abstract: An image encoding/decoding method and apparatus for performing intra prediction mode based intra prediction are provided. An image decoding method may comprise decoding an intra prediction mode of a current block, deriving at least one intra prediction mode from the decoded intra prediction mode of the current block, generating two or more intra prediction blocks using the intra prediction mode of the current block and the derived intra prediction mode, and generating an intra prediction block of the current block based on the two or more intra prediction blocks.

Abstract: An image encoding/decoding method and apparatus for performing representative sample-based intra prediction are provided. An image decoding method may comprise deriving an intra prediction mode of a current block, configuring a reference sample of the current block, and performing intra prediction for the current block based on the intra prediction mode and the reference sample, wherein the intra prediction is representative sample-based prediction.

Abstract: An image encoding/decoding method and apparatus for performing intra prediction using a plurality of reference sample lines are provided. An image decoding method may comprise configuring a plurality of reference sample lines, reconstructing an intra prediction mode of a current block, and performing intra prediction for the current block based on the intra prediction mode and the plurality of reference sample lines.

Abstract: Disclosed herein are a video decoding method and apparatus and a video encoding method and apparatus. In video encoding and decoding, multiple partition blocks are generated by splitting a target block. A prediction mode is derived for at least a part of the multiple partition blocks, among the multiple partition blocks, and prediction is performed on the multiple partition blocks based on the derived prediction mode. When prediction is performed on the partition blocks, information related to the target block may be used, and information related to an additional partition block, which is predicted prior to the partition block, may be used.

Abstract: A signal receiving device includes a sampling device configured to sample an input signal to output a plurality of sampling values, and an output circuit configured to output data based on the sampling values. The output circuit outputs the data by performing majority voting based on first to third sampling values of the sampling values in response to a first control signal, and outputs the data and first and second error count signals based on the first sampling value and fourth and fifth sampling values of the sampling values in response to a second control signal. The first error count signal is generated by comparing the first sampling value sampled under a reference condition with the fourth sampling value sampled under a first offset condition, and the second error count signal is generated by comparing the first sampling value with the fifth sampling value sampled under a second offset condition.

Abstract: A semiconductor chip capable of improving signal quality includes a host device, a first memory device which is spaced part from the host device and connected to the host device, a repeater module which is connected to the host device and the first memory device, and a second memory device which is spaced apart from the host device and connected to the repeater module. The first memory device receives a data signal from the host device and generates a recovery clock signal, using the data signal. The repeater module receives the recovery clock signal from the first memory device, receives a first input signal from the host device, and samples the first input signal on the basis of the recovery clock signal to generate a sampling signal. The second memory device receives the sampling signal.

Abstract: A method for operating a host device and a memory device, and a vehicle including the host device and the memory device are provided. The method for operating a host device includes detecting a need for an EOM (Eye Open Monitor) operation, transmitting a command for requesting the EOM operation to a memory device in response to the detection of the need to perform the EOM operation, and receiving a response signal including changed preset information from the memory device.

Abstract: A memory device, and an operating method of the memory device and a host device are provided. The method of operating a memory device includes receiving a command for requesting an Eye Open Monitor (EOM) operation performance from a host device, receiving pattern data including data and non-data from the host device, performing the EOM operation which performs an error count to correspond to the data, and does not perform the error count on the non-data, and transmitting an EOM response signal including the error count result to the host device.

Abstract: Provided are an operating method of a host device, an operating method of a memory device, and a memory system. The operating method of a host device includes transmitting a request command for performing an eye-opening monitor (EOM) operation to a memory device, transmitting a parameter for performing the EOM operation to the memory device, transmitting pattern data for performing the EOM operation to the memory device, and receiving a first response signal including a result of the EOM operation performed based on the parameter and the pattern data from the memory device.

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: Disclosed are an apparatus and control method for recommending an application based on a recognized situation of a user of an electronic device by executing an artificial intelligence (AI) algorithm and/or machine learning algorithm in a 5G environment connected for the Internet of Things and a driving method thereof. The apparatus control method according to an embodiment of the present disclosure includes applying context information including at least one of environmental information collected through a sensor of the electronic device or a network, or usage information generated by the use of the electronic device to a machine learning based first learning model in response to a user input, and displaying, on a display, a first shortcut related to an application determined on the basis of a result of applying the context information to the first learning model and displaying, on the display, a second shortcut related to a preset application.

Abstract: A semiconductor chip capable of improving signal quality includes a host device, a first memory device which is spaced part from the host device and connected to the host device, a repeater module which is connected to the host device and the first memory device, and a second memory device which is spaced apart from the host device and connected to the repeater module. The first memory device receives a data signal from the host device and generates a recovery clock signal, using the data signal. The repeater module receives the recovery clock signal from the first memory device, receives a first input signal from the host device, and samples the first input signal on the basis of the recovery clock signal to generate a sampling signal. The second memory device receives the sampling signal.

Abstract: A signal receiving device includes a sampling device configured to sample an input signal to output a plurality of sampling values, and an output circuit configured to output data based on the sampling values. The output circuit outputs the data by performing majority voting based on first to third sampling values of the sampling values in response to a first control signal, and outputs the data and first and second error count signals based on the first sampling value and fourth and fifth sampling values of the sampling values in response to a second control signal. The first error count signal is generated by comparing the first sampling value sampled under a reference condition with the fourth sampling value sampled under a first offset condition, and the second error count signal is generated by comparing the first sampling value with the fifth sampling value sampled under a second offset condition.

Abstract: A method of operating a host device includes transmitting a read command that requests information related to an eye open monitor (EOM) operation performed in a memory device to the memory device, and receiving a response signal including the information related to the EOM operation performed in the memory device from the memory device.

Abstract: A memory device, and an operating method of the memory device and a host device are provided. The method of operating a memory device includes receiving a command for requesting an Eye Open Monitor (EOM) operation performance from a host device, receiving pattern data including data and non-data from the host device, performing the EOM operation which performs an error count to correspond to the data, and does not perform the error count on the non-data, and transmitting an EOM response signal including the error count result to the host device.

Abstract: A method for operating a host device and a memory device, and a vehicle including the host device and the memory device are provided. The method for operating a host device includes detecting a need for an EOM (Eye Open Monitor) operation, transmitting a command for requesting the EOM operation to a memory device in response to the detection of the need to perform the EOM operation, and receiving a response signal including changed preset information from the memory device.

Abstract: A semiconductor device comprises a first wiring that receives an input signal and extends in a first direction, a first gate wiring that extends in a second direction that intersects the first direction, a first impurity region disposed on one side of the first gate wiring and is connected to the first wiring, a second impurity region disposed on an other side of the first gate wiring and is connected to the first wiring, a second gate wiring that extends in the second direction and is spaced apart from the first gate wiring in the first direction and is connected to the first wiring, and a first inverter that includes the second gate wiring and is connected to the first wiring through which the inverter receives the input signal.

Abstract: A remote training apparatus for a drone flight in a mixed reality includes: a processor; and a memory, wherein the memory stores program instructions executable by the processor to generate a virtual flight space using arrangement information of one or more anchors and tags arranged in a physical space for the flight of the drone, and receive and register a flight training scenario generated in the virtual flight space from a second computer belonging to a remote expert group that remotely communicates with a first computer belonging to a drone operator group, wherein the flight training scenario includes one or more virtual obstacles and one or more flight instruction commands, and at least some of the flight instruction commands are mapped to the one or more virtual obstacles, and receive one or more annotations generated by the remote expert group from the second computer to transmit the annotations to the first computer.

Abstract: Provided are an operating method of a host device, an operating method of a memory device, and a memory system. The operating method of a host device includes transmitting a request command for performing an eye-opening monitor (EOM) operation to a memory device, transmitting a parameter for performing the EOM operation to the memory device, transmitting pattern data for performing the EOM operation to the memory device, and receiving a first response signal including a result of the EOM operation performed based on the parameter and the pattern data from the memory device.