Abstract: Disclosed are a method for determining a color difference component quantization parameter and a device using the method. Method for decoding an image can comprise the steps of: decoding a color difference component quantization parameter offset on the basis of size information of a transform unit; and calculating a color difference component quantization parameter index on the basis of the decoded color difference component quantization parameter offset. Therefore, the present invention enables effective quantization by applying different color difference component quantization parameters according to the size of the transform unit when executing the quantization.

Abstract: The multi sample prediction method of the present invention comprises the steps of: determining a sample group consisting of a plurality of samples inside a decoding target block; determining a representative position corresponding to the sample group, inside the decoding target block; determining a representative prediction value for the sample group, on the basis of the determined representative position; and determining the determined representative prediction value as the final prediction value for each of the plurality of samples making up the sample group. The present invention enhances efficiency in encoding/decoding and reduces complexity thereof.

Abstract: A strain sensor may have a conductive elastic yarn including a first fiber having a predetermined length and a shape of a fiber yarn and a second fiber having electrical conductivity and a sheet shape. The strain sensor may have a pair of wiring members electrically connected to both ends of the conductive elastic yarn. The conductive elastic yarn, with the second fiber wrapped around the first fiber, is twisted in a coil shape.

Abstract: Disclosed are an apparatus and method for electing a committee node in a blockchain. The apparatus for electing a committee node in a blockchain is configured to transmit a staking transaction including validator information to a blockchain system to register a validator node, generate a draw pool for electing a committee node based on the validator information, change entries of the draw pool using a predefined shuffling algorithm, select a preset number of top entries as votes of a committee member from among the entries of the shuffled draw pool, and elect, as the committee node, the validator node that has acquired votes of a committee.

Abstract: Disclosed herein is an apparatus and method for synchronizing a block in a blockchain network. The apparatus synchronizes node information of existing participating nodes connected to a blockchain network by joining the blockchain network, determines synchronization target blocks by calculating the current section of a blockchain using an agreed-upon block received from the existing participating nodes, receives a block header of each section and the segment hash table of a snapshot that are verification data for verifying synchronization target data for the synchronization target blocks from participating nodes that are not connected as peers, among the existing participating nodes, generates a snapshot by receiving snapshot segments and the blocks of the current section, which are the synchronization target data, from participating nodes connected as peers, among the existing participating nodes, verifies the snapshot generated from the snapshot segments, and synchronizes the verified snapshot.

Abstract: Disclosed herein is a method for adding an additional chain to a blockchain. The method includes depositing, by a node of the blockchain, an asset corresponding to the additional chain; selecting the node as one of consensus nodes for connecting an additional block to the additional chain based on a share value corresponding to the asset; and performing, by the node, distributed consensus for connecting the additional block. Here, nodes constituting the blockchain include major shareholder nodes for processing transactions.

Abstract: A method for coding image information includes generating prediction information by predicting information on a current coding unit, and determining whether the information on the current coding unit is the same as the prediction information. When the information on the current coding unit is the same as the prediction information, a flag indicating that the information on the current coding unit is the same as the prediction information is coded and transmitted. When the information on the current coding unit is not the same as the prediction information, a flag indicating that the information on the current coding unit is not the same as the prediction information and the information on the current coding unit are coded and transmitted.

Abstract: A method for decoding an image based on an intra prediction, comprising: obtaining a first prediction pixel of a first region in a current block by using a neighboring pixel adjacent to the current block; obtaining a second prediction pixel of a second region in the current block by using the first prediction pixel of the first region; and decoding the current block based on the first and the second prediction pixels.

Abstract: The present invention relates to an apparatus and method for encoding and decoding an image by skip encoding. The image-encoding method by skip encoding, which performs intra-prediction, comprises: performing a filtering operation on the signal which is reconstructed prior to an encoding object signal in an encoding object image; using the filtered reconstructed signal to generate a prediction signal for the encoding object signal; setting the generated prediction signal as a reconstruction signal for the encoding object signal; and not encoding the residual signal which can be generated on the basis of the difference between the encoding object signal and the prediction signal, thereby performing skip encoding on the encoding object signal.

Abstract: A system and method for connecting devices includes receiving from a first device a request to follow a second device, and setting a following relationship between the first device and the second device in response to the request.

Abstract: A system and method for connecting devices includes receiving from a first device a request to follow a second device, and setting a following relationship between the first device and the second device in response to the request.

Abstract: An apparatus and method for human activity and facial expression modeling and recognition are based on feature extraction techniques from time sequential images. The human activity modeling includes determining principal components of depth and/or binary shape images of human activities extracted from video clips. Independent Component Analysis (ICA) representations are determined based on the principal components. Features are determined through Linear Discriminant Analysis (LDA) based on the ICA representations. A codebook is determined using vector quantization, Observation symbol sequences in the video clips am determined. And human activities are learned using the Hidden Markov Model (HMM) based on status transition and an observation matrix.

Abstract: A wireless communication terminal according to the embodiment includes a communication module including a circuit board having a plurality of pins; a shield case antenna overlapping with one side of the circuit board, electrically connected to a part of the pins and including a signal receiving unit; and a signal processing unit for processing the received signals. An antenna matching unit for matching impedance between the signal processing unit and an antenna unit, a phase shifter for controlling a phase of the received signal and an amplitude regulator for adjusting amplitude of the received signal are provided between the signal processing unit and the antenna unit.

Abstract: An apparatus and method for human activity and facial expression modeling and recognition are based on feature extraction techniques from time sequential images. The human activity modeling includes determining principal components of depth and/or binary shape images of human activities extracted from video clips. Independent Component Analysis (ICA) representations are determined based on the principal components. Features are determined through Linear Discriminant Analysis (LDA) based on the ICA representations. A codebook is determined using vector quantization, Observation symbol sequences in the video clips am determined. And human activities are learned using the Hidden Markov Model (HMM) based on status transition and an observation matrix.

Abstract: An apparatus and method for human activity and facial expression modeling and recognition are based on feature extraction techniques from time sequential images. The human activity modeling includes determining principal components of depth and/or binary shape images of human activities extracted from video clips. Independent Component Analysis (ICA) representations are determined based on the principal components. Features are determined through Linear Discriminant Analysis (LDA) based on the ICA representations. A codebook is determined using vector quantization. Observation symbol sequences in the video clips are determined. And human activities are learned using the Hidden Markov Model (HMM) based on status transition and an observation matrix.

Abstract: A system and method for connecting devices includes receiving from a first device a request to follow a second device, and setting a following relationship between the first device and the second device in response to the request.

Abstract: An apparatus and method for detecting movement errors due to the wheel slip or transient current generated while a mobile robot is traveling. The movement error detecting method includes: detecting movement of the wheels in a sensor part according to a movement command input to a drive motor, and outputting an actual output value from the sensor part; calculating an ideal output value for output from the sensor part as the wheels are moved according to the movement command; and comparing the actual output value with the ideal output value to determine and residual fault and detect movement errors.

Abstract: Method and system for conducting design explorations of an integrated circuit are disclosed. In one embodiment, the method includes obtaining a design description of the integrated circuit that includes a virtual design block, creating a representative netlist for representing the virtual design block, where the representative netlist includes one or more soft design models, and each soft design model comprises one or more template cells for modeling a portion of the integrated circuit. The method further includes defining physical attributes for the one or more soft design models in accordance with area requirements of the virtual design block, where the one or more soft design models are described with flexible shape and pin locations, performing design explorations of the integrated circuit using the one or more soft design models and their corresponding template cells, and generating a representative implementation of the integrated circuit using results of the design explorations.

Abstract: An apparatus and method for human activity and facial expression modeling and recognition are based on feature extraction techniques from time sequential images. The human activity modeling includes determining principal components of depth and/or binary shape images of human activities extracted from video clips. Independent Component Analysis (ICA) representations are determined based on the principal components. Features are determined through Linear Discriminant Analysis (LDA) based on the ICA representations. A codebook is determined using vector quantization. Observation symbol sequences in the video clips are determined. And human activities are learned using the Hidden Markov Model (HMM) based on status transition and an observation matrix.

Abstract: Method and system for conducting design explorations of an integrated circuit are disclosed. In one embodiment, the method includes obtaining a design description of the integrated circuit that includes a virtual design block, creating a representative netlist for representing the virtual design block, where the representative netlist includes one or more soft design models, and each soft design model comprises one or more template cells for modeling a portion of the integrated circuit. The method further includes defining physical attributes for the one or more soft design models in accordance with area requirements of the virtual design block, where the one or more soft design models are described with flexible shape and pin locations, performing design explorations of the integrated circuit using the one or more soft design models and their corresponding template cells, and generating a representative implementation of the integrated circuit using results of the design explorations.