Abstract: A mismatch error calibration method and apparatus of a time interleaved digital-to-analog converter. The method includes: sampling an output signal of a time interleaved digital-to-analog converter to obtain a measurement signal; preprocessing the measurement signal to obtain a preprocessed measurement signal; and estimating a coefficient of a digital impairment equalizer according to an input signal of the digital impairment equalizer, an output signal of the digital impairment equalizer, and the preprocessed measurement signal. By preprocessing a non-ideal feedback channel, interferences caused by non-ideality of the feedback channel is eliminated, so as to achieve better mismatch error calibration performance of a TI-DAC.

Abstract: A switching power supply includes a switching power supply circuit that has an upper arm and a lower arm that are coupled in series. The switching power supply further includes a drive circuit that alternately turns on the upper arm and the lower arm across a dead time in which the upper arm and the lower arm are turned off such that an output voltage of the switching power supply circuit follows a voltage of an input signal that is an envelope signal or a subcarrier signal; and an adjustment circuit that adjusts the dead time according to the voltage of the input signal.

Abstract: A device stores relationship information that indicates a correspondence relationship between a received signal strength indicator at a time of reception of a signal from a wireless transmission path and an available bandwidth of data transmission in the wireless transmission path; acquires a measurement value of the received signal strength indicator during communication with an image transmission device that transmits image data via a communication path; estimates a first available bandwidth in the wireless transmission path based on the measurement value and the relationship information; generates control information for adjustment of a transmission rate of image data in the image transmission device based on the first available bandwidth; transmits the control information to the image transmission device; measure a second available bandwidth in the wireless transmission path; and optimizes the correspondence relationship based on a comparison result between the first available bandwidth and the second ava

Abstract: An optical node device includes: an optical switch coupled to a multicore fiber that has N (N is an integer of 2 or more) cores; a multiplexer-demultiplexer coupled to a single-core fiber that multiplexes and transmits optical signals in M (M is an integer of 2 or more; and M?N) bands; a maximum of (M?1) wavelength converters provided between the optical switch and the multiplexer-demultiplexer; and a control circuit that controls the optical switch, the wavelength converter or both of the optical switch and the wavelength converter and the control circuit controls the optical switch or the wavelength converter or both of the optical switch and the wavelength converter such that, of the optical signals in the M bands, an optical signal in at least one band is not subject to wavelength conversion and an optical signal in another band is subject to the wavelength conversion.

Abstract: For managing an order of pieces of data, a computer stores, in order, a plurality of pieces of value data that represent a number of digits with which a constant multiple of a number of pieces of data included in a data group are representable; stores flag defining an upper-lower relationship between first and second ranges in each of which at least the number of pieces of data is representable; each time designation of first value data to be moved to a head in the order is accepted, sets a value that belongs to an upper range among the first and the second ranges to the first value data such that the first value data is before other pieces of value data in the order; and when the lower range no longer includes any pieces of value data, updates the flag such that the upper-lower relationship is switched.

Abstract: A recording medium storing a program for causing a computer to execute processing including: acquiring, from a first model trained based on training data in which the first object is labeled in an image, a first portion specifying a region in an image that includes a first object; generating a third model by combining the first portion and a third portion of a second model being a model that includes a second portion and the third portion and that is trained based on training data in which position information regarding the second object is labeled in an image, the second portion being a portion that specifies a region in an image including a second object, the third portion being a portion that determines a position in an image of a specified region; and outputting a detection result of an object by inputting an image to the third model.

Abstract: An amplification device includes a peak amplifier and a carrier amplifier that are disposed in respective signal paths independently of each other. The amplification device further includes a measurement circuit that measures a transmission power for transmitting a radio signal obtained by combining an output signal from the peak amplifier and an output signal from the carrier amplifier, and a control circuit that performs control to turn off a first power supply of the peak amplifier in a case where a decrease in the transmission power is detected.

Abstract: An apparatus for detecting a number of articles, the apparatus including: a first detecting device configured to detect a shopping container in an image; a classifying device configured to classify an image of articles in the shopping container by using a classifier, and determine the number of articles corresponding to a classification result; and a number setting device configured to take the number of articles determined by the classifying device as a prediction value of the number of articles in the shopping container when the number of articles determined by the classifying device is greater than a first threshold. In this disclosure, the number of the articles in the shopping container is determined by using a relationship between the number of the articles to which the classification result of the image corresponds and the threshold.

Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: acquiring a video image in which a first person appears; identifying positional information about each of two body parts that form a pair among body parts of the first person in the video image, by analyzing the acquired video image; generating a first component that indicates a sum of the identified positional information about each body part; generating a third component that indicates an absolute value of a second component that indicates a difference in the identified positional information about each body part; and training a model that outputs posture information about a second person from a video image in which the second person appears, based on the generated first component and the generated third component.

Abstract: An image processing method is executed by a computer and the method includes: extracting an organ region representing an organ and a tumor candidate region having a feature for identifying a tumor in the organ from image data obtained by capturing an image of the organ; generating a non-organ region representing a region where the organ is not present using the image data; and removing, from the extracted tumor candidate region, a tumor candidate region being present only at an outer edge portion of the non-organ region in the organ region.

Abstract: A data processing device configured to: detect magnitude of correlate on of a continuous variable pair included in a plurality of continuous variables based on information regarding a first evaluation function that includes the plurality of continuous variables obtained by formulating a combinatorial optimization problem, allocate a larger number of common binary variables to the continuous variable pair as the correlation is larger at a time of allocating a binary variable to each of the plurality of continuous variables, generate correspondence information that indicates a correspondence relationship between each of the plurality of continuous variables and the binary variable, convert the first evaluation function into a second evaluation function that includes a plurality of binary variables, the second evaluation function being Ising-type, set coefficient information of the second evaluation function, and search for a solution to the combinatorial optimization problem using the second evaluation function

Abstract: An information processing method includes acquiring by a computer, in a simulation that is executed by a target simulator in cooperation with another simulator, a probability of occurrence of data communication from the other simulator to the target simulator, for each of sections obtained by dividing a simulation time of the target simulator, and determining timings of creation of a snapshot of the target simulator in the simulation, based on the acquired probability of occurrence of the data communication in each of the sections.

Abstract: A method implemented by a computer for detecting a lesion, the method including: calculating, by using a first lesion detection process configured to detect a specific lesion region from three-dimensional volume data generated based on a plurality of tomographic images obtained by imaging an inside of a human body, a probability of being the specific lesion region for each of unit image areas included in each of the plurality of tomographic images; and executing, based on one tomographic image of the plurality of tomographic images and the probability calculated for each of the unit image areas included in the one tomographic image, a second lesion detection process configured to detect the specific lesion region from the one tomographic image.

Abstract: An information processing program causes a computer to store a plurality of block strings that represents arrays in which blocks associated with a predetermined number of components of an array are coupled. For each block string, the computer manages the block string such that, when there is a front block corresponding only to components for which a value has not been set in a first half portion of the block string, at least a plurality of areas that is a part of a last block is unused areas where values of components are not stored, by distributing values of a rear block in a latter half portion to the front block. A pointer indicating a position at which the block string is divided and initial values of components are also managed by using a second area of the plurality of areas in the last block of the each block string.

Abstract: A recording medium storing a position measuring program for causing a computer to perform processing including: identifying a first position of a first target in image data; identifying specific identification information and a specific type corresponding to a specific position where a positional relationship with the first position satisfies a first condition, by referring to a first storage device storing a position of each measurement target, identification information on the imaging device having captured the image data, and a type of each target; identifying a specific feature point group corresponding to the specific identification information and the specific type, by referring to a second storage device storing the identification information on an imaging device having captured the image data, the type of each target, and a feature point group of each target in the image data; and estimating a posture of the first target from the specific feature point group.

Abstract: A data processing apparatus configured to: acquire a change amount of a value of an evaluation function of a combinatorial optimization problem for each of a plurality of state variables included in the evaluation function, update, every time one of the plurality of state variables is changed, a value of a local field of the one of the plurality of state variables, acquire a cumulative value of the change amount, determine whether to accept a change in values of a first number, which is equal to or more than 2, of the plurality of state variables, based on the cumulative value, and when the change in values of the first number is not accepted, return the updated value of the local field to a value of a local field at the certain time point.

Abstract: Embodiments of this disclosure provide an apparatus and method for detecting the number of articles and an electronic device. The apparatus for detecting the number of articles includes: a detecting device configured to detect the number of articles in a shopping container according to an image of articles in the shopping container, a classifying device configured to classify the image of the articles in the shopping container by using a classifier, and obtain a classification weight corresponding to a classification result; and a calculating device configured to calculate a prediction value of the number of the articles in the shopping container based on the number of the articles in the shopping container detected by the detecting device and the classification weight.

Abstract: A computer stores first matrix data that holds data of components of an array in a row direction, stores second matrix data that holds a flag that indicates whether the data is in an initialized state, and stores third matrix data that includes an area that holds an initial value common to a plurality of pieces of data in the column which is regarded as an initial value of each piece of data in the column in a case where a plurality of pieces of data in the column is collectively initialized in a column direction. Responding to a first initialization request for collectively initializing a plurality of pieces of data in a first column of the first matrix data in a column direction, a value that indicates an initialized state is set to a plurality of flags of the second matrix data.

Abstract: An object-detection system configured to form an object-detection model generated by machine learning to detect an object from an image, the object-detection system includes an edge computer configured to extract a feature from a reduced image in which an input image is reduced to a predetermined size, and compress and transmit the feature, and a server configured to decode the feature, and perform object-detection for each of divided features into which the feature is divided in association with respective divided images into which the reduced image is divided with overlapping regions in a first size, the divided features including a second size that depends on a division position in the object-detection model, wherein the predetermined size is determined based on the first size of the overlapping regions and the second size of the divided features, and wherein the object-detection model is divided into the edge computer and the server.

Abstract: A resource indication method and apparatus and communication system. The resource indication method includes: receiving by a terminal equipment third indication information used for dynamically indicating time domain resources in a resource pool transmitted by a network device, and/or receiving by a terminal equipment first indication information used for indicating first time domain resources belonging to a resource pool and transmitted by a network device. By indicating by the indication information which time-domain resources in the semi-persistently configured and/or dynamically configured time-domain resources may be contained in the resource pool, the V2X terminal equipment may perform data transceiving by using the resources in the resource pool, thereby supporting V2X communication in a future communication system.