Abstract: An optical fiber amplification. system includes: a first optical fiber amplifier including a first optical amplifying fiber including a core portion doped with a first rare-earth. element, a first input unit configured to receive first signal light, an excitation-light source configured to output pump light, a pump light combiner configured to input the pump light to the first optical amplifying fiber, and a residual pump light recovery device configured to recover residual pump light; and a second optical fiber amplifier including a second optical amplifying fiber including a core portion doped with a second rare-earth. element, a second input unit configured to receive second signal light, and a residual pump light combiner configured to input, to the second optical amplifying fiber, the residual pump light recovered by the residual pump light recovery device.

Abstract: In an image decoding device 200 according to the present invention, a decoding unit 210 is configured to decode a flag indicating whether chroma-related syntax is included in a picture parameter set, and in a case where the flag indicates that chroma-related syntax is included in the picture parameter set, the decoding unit 210 is configured to decode syntax for controlling deblocking filter processing of a Cb signal and a Cr signal.

Abstract: A communication device capable of connecting to and communicating with another device using a first function operating as a terminal device and a second function operating as a base station device, the communication device acquires a first reception power density of a signal of a downlink received from an upstream device connected by the first function, acquires a second reception power density of a signal of an uplink received from a downstream device connected by the second function, and transmits a transmission power control command for controlling transmission power of the signal of the downlink to the upstream device, based on the first reception power density and the second reception power density.

Abstract: A data management apparatus manages a plurality of data items output by a plurality of communication devices that output data. The data management apparatus includes at least one memory configured to store instructions, and at least one processor configured to execute the instructions. The instructions, when executed by the at least one processor, include receiving a data acquisition request, including an application identification of an application from the data acquisition apparatus, extracting data output by the application on a communication device corresponding to the application identification included in the data acquisition request, among the plurality of data items received from the plurality of communication devices via a relay apparatus, and transmitting the extracted data to the data acquisition apparatus.

Abstract: A base station device transmits a control signal for causing a transition from an RRC_CONNECTED state to an RRC_INACTIVE state and including connection parameter information to a terminal device. The terminal device performs uplink transmission to the base station device using the connection parameter information included in the control signal in the RRC_INACTIVE state to which the RRC_CONNECTED state has transitioned. The base station device performs uplink reception from the terminal device that is in the RRC_INACTIVE state to which the RRC_CONNECTED state has transitioned using the connection parameter information included in the control signal.

Abstract: An image decoding device includes: a block structure decoding unit configured to decode the coded data to acquire luminance block division information and chrominance block division information; a determination unit configured to determine whether or not a cross-component linear model method is applicable based on the luminance block division information and the chrominance block division information; and a chrominance intra-prediction method decoding unit configured to decode a chrominance intra-prediction method according to a result of the determination.

Abstract: A base station apparatus, which allocates uplink radio resources to a terminal apparatus, checks whether or not first frequency resources reserved for transmission of control information in the radio resources are used, and allocates at least a part of the first frequency resources to transmission of user data if it is checked that the at least a part of the first frequency resources are not used.

Abstract: An information processing method for embedding watermark bits into weights of a first neural network includes: obtaining an output of a second neural network by inputting a plurality of input values obtained from a plurality of weights of the first neural network to the second neural network; obtaining second gradients of the respective plurality of input values based on an error between the output of the second neural network and the watermark bits; and updating the weights based on values obtained by adding first gradients of the weights of the first neural network that have been obtained based on backpropagation and the respective second gradients.

Abstract: A device controller connected to a communication terminal and a plurality of devices via a network includes an acquisition unit configured to receive first control information for controlling a plurality of devices of predetermined type from the communication terminal, the first control information including specific information for identifying a control target device selected from the plurality of devices, a device identification unit configured to identify the control target device on the basis of the specific information included in the first control information, a generation unit configured to generate second control information for causing the control target device to execute control details indicated by the first control information, the second control information being different from the first control information, and a transmission unit configured to transmit the second control information.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains chrominance prediction signal by applying linear prediction model based on the linear prediction parameter to the luminance reference signal.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: An image decoding device, includes a filter unit using, as an input, a decoded signal prior to the filtering process and output a filtered decoded signal. The filter unit performs clipping processing on the decoded signal prior to the filtering process such that the absolute value of a differential value between a reference pixel value and a pixel value of the decoded signal prior to the filtering process is less than or equal to a predefined threshold value, and to generate the filtered decoded signal through the linear weighted addition of the value after the clipping processing is performed and the pixel value of the decoded signal prior to the filtering process; and a large-small relationship between the threshold value for a luma signal and the threshold value for a chroma signal are defined such that the large-small relationship is unchanged when an internal bit depth is changed.

Abstract: A program for generating a significant video stream causes a computer to function as coding parameter extraction means for extracting a coding parameter of each macroblock for each frame from an original video stream, macroblock selection means for selecting a significant macroblock that has a coding parameter satisfying a predetermined condition, and significant video stream generation means for generating a significant video stream in which frames of the original video stream temporally synchronized with the frames of the coding parameter in the significant macroblocks are combined in time series.

Abstract: An information processing apparatus includes a weight setting unit configured to set a plurality of weights of a selection layer selected from a plurality of layers of a first neural network as a plurality of weights of a second neural network; a classification unit configured to classify each of the weights of the selection layer into a first group or a second group; a first determination unit configured to determine a first gradient for each weight of the first neural network, based on first training data; a second determination unit configured to determine a second gradient for weights belonging to the first group based on second training data; and an updating unit configured to update the weights belonging to the first group based on the first gradient and the second gradient, and updating the other weights based on the first gradient.

Abstract: A decoding-side first generation unit generating, for a target unit, a first component prediction sample. A decoding-side linear prediction unit using the first component sample and a prediction coefficient to generate a linear prediction sample of a second component. A decoding-side second generation unit using the second component linear prediction sample to generate, for the target unit, a second component prediction sample. The decoding-side linear prediction unit uses a first coefficient as the prediction coefficient when the first component sample is equal to or below a threshold value, and uses a second coefficient, different from the first, as the prediction coefficient when the first component sample is greater than the threshold value. The threshold value is set on a parameter representing a distribution or change in a reference sample of the first component and/or the second component contained in a reference unit referenced for the target unit.

Abstract: An image decoding device (200) includes: a motion vector decoding unit (241B) configured to decode a motion vector from coded data; and a refinement unit (241C) configured to search for the motion vector with a value of the motion vector decoded by the motion vector decoding unit (241B) as an initial value, and set the decoded motion vector as a final motion vector in a case where a searching cost at an initial searched point is larger than a predetermined threshold value or in a case where the searching cost at the initial searched point is equal to or larger than the threshold value.

Abstract: A terminal apparatus that performs communication using a communication path set between the terminal apparatus and a core network via a base station apparatus connected to the core network or via the base station apparatus and a relay apparatus that relays communication with the base station apparatus acquires information regarding candidates of a communication path to which switching should be performed from a first communication used, from the base station apparatus that functions as a serving base station in the first communication path, determines whether or not to perform switching of the communication path from the first communication path, and performs switching from the first communication path to a second communication path included in the candidates without being instructed by the serving base station, in response to the determination to perform the switching after receiving the information regarding the candidates.

Abstract: An image decoding device includes a prediction unit configured to generate a prediction signal included in a prediction block based on a motion vector. The prediction unit is configured to perform refinement processing of setting a search range based on a reference position specified by the motion vector, specifying a corrected reference position having the smallest predetermined cost from the search range, and correcting the motion vector based on the corrected reference position. When a block size of the prediction block is larger than a predetermined block size, the prediction unit is configured to divide the prediction block into sub-block groups and perform the refinement processing for each sub-block.

Abstract: A decoding device includes a transformer sets a decoded luminance component of a prediction target block to the same number of samples as that of the chrominance component corresponding to the decoded luminance component of the prediction target block and generates a luminance reference signal. A specificator specifies luminance pixels having minimum and maximum pixel values of the decoded luminance component adjacent to the decoded luminance component of the prediction target block, respectively, outputs luminance pixel values obtained from specified luminance pixels, and outputs chrominance pixel values from pigment pixels corresponding to the luminance pixels. A derivator derives a linear prediction parameter from the two pixel values and a linear prediction model. A chrominance linear predictor obtains a chrominance prediction signal by applying the linear prediction model based on the linear prediction parameter to the luminance reference signal.