Abstract: A non-transitory computer-readable storage medium storing a data generation program that causes at least one computer to execute a process, the process includes, acquiring a data generation model that is trained by using a first dataset corresponding to a first domain and a second dataset corresponding to a second domain, and that includes an identification loss by an identification model in a parameter; inputting first data corresponding to the first domain to the identification model to acquire a first identification loss, and inputting second data corresponding to the second domain to the identification model to acquire a second identification loss; generating data in which the second identification loss approximates the first identification loss, by using the data generation model; and outputting the data that is generated.
Abstract: A non-transitory computer-readable recording medium stores an operation control program for causing a computer to execute processing including: detecting a position of an object included in an operating environment of a device; specifying an operation path of the device on the basis of an operation position of the device and the position of the object; generating first operation information on the basis of the operation path and reference information that associates position information of a plurality of points included in the operating environment with operation information that represents an operating state of the device when the plurality of points are the operation positions; and controlling the device on the basis of the first operation information.
Abstract: An information processing apparatus includes a memory, and a processor coupled to the memory and the processor configured to obtain requests for reading objects that exist in a plurality of wraps in different running directions on a tape of a tape storage, calculate an integrated speed for each of a plurality of orders of reading the objects based on a distance between the objects and a running speed of the tape between the objects, and select, from among the plurality of orders, an order that maximizes the integrated speed.
Abstract: A non-transitory computer-readable recording medium storing a calculation processing program for causing a computer to execute processing, the processing including: calculating error gradients of a plurality of layers of a machine learning model that includes an input layer of the machine learning model at the time of machine learning of the machine learning model; selecting a layer of which the error gradient is less than a threshold as a suppression target of the machine learning; and controlling a learning rate and performing the machine learning on the layer selected as the suppression target in a certain period of time before the machine learning is suppressed.
Abstract: A computer-implemented method includes: calculating error gradients with respect to a plurality of layers included in a machine learning model at a time of machine learning of the machine learning model, the plurality of layers including an input layer of the machine learning model; specifying, as a layer to be suppressed, a layer located in a range from a position of the input layer to a predetermined position among the layers in which the error gradient is less than a threshold; and suppressing the machine learning for the layer to be suppressed.
Abstract: A non-transitory computer-readable recording medium storing an information processing program for causing a computer to execute processing including: acquiring a plurality of points on a Pareto front of a multi-objective optimization problem; fitting a Bezier simplex defined using a plurality of control points to the plurality of points on the Pareto front; and determining whether the Pareto front is degenerated based on a positional relationship among the plurality of control points in the Bezier simplex after the fitting.
Abstract: A non-transitory computer-readable recording medium storing an inference program for causing a computer to execute a process, the process including: extracting features of a piece of data by inputting the piece of data to a neural network; generating a hyperdimensional vector based on the extracted features; and storing the generated hyperdimensional vector in a storage unit with the hyperdimensional vector related to a label of the piece of data.
Abstract: A non-transitory computer-readable recording medium stores an abnormality determination program for causing a computer to execute a process for determining an abnormality including: generating, based on first motion information of a device generated for a first timing by a machine learning model and a plurality of first feature quantities obtained by sensing the device at the first timing, estimated values of second motion information and a plurality of second feature quantities for a second timing that is after the first timing by using the machine learning model; controlling, based on the second motion information, a motion of the device at the second timing; comparing a plurality of second feature quantities obtained by sensing the device at the second timing with the generated estimated values of the plurality of second feature quantities; and determining, based on a result of the comparing, whether there is an abnormality.
Abstract: A computer-readable recording medium stores an operation control program for causing a computer to execute processing including: specifying a region of an object in a first image obtained by capturing an operating environment of a device at a first timing; generating, by using a first machine learning model, second operation information that represents an operating state of the device at a second timing after the first timing on the basis of first operation information that represents an operating state of the device at the first timing; specifying, by using a second machine learning model, a region of the device in a second image that represents the operating environment of the device on the basis of the second operation information; comparing the region of the device with the region of the object; and executing an avoidance operation of the device on the basis of a result of the processing of comparing.
Abstract: A non-transitory computer-readable storage medium storing a shape data output program that causes at least one computer to execute process, the process includes, normalizing each shape data of a plurality of pieces of shape data for each component in each coordinate axis direction to create unit shape data; classifying the plurality of pieces of shape data based on the created unit shape data of each of the pieces of shape data; specifying, based on dimensions of sites of each shape data in classified group, a dimensional relationship between different sites of the shape data in the group; and outputting information indicating the specified dimensional relationship in association with the unit shape data of the shape data in the group.
Abstract: Method and apparatus for configuring a triggering condition of a beam failure event and a communication system. The method includes: a network device configures a UE with one or more control channel monitoring groups, so that when the UE detects that all beams to which a monitoring group corresponds fail in transmission, the UE reports beam failure event of the monitoring group fails in transmission; wherein, each monitoring group corresponds to one or more pieces of downlink control information (DCI). By configuring regarding the triggering conditions of the beam failure events, detection and report of beam failure in more complex scenarios may be supported, such as a scenario where one piece of DCI is transmitted in multiple control resource sets, and a scenario where multiple pieces of DCI are transmitted in one control resource set, etc.
Abstract: A display method for outputting a result of scoring for a performance of a scoring competition, the display method includes obtaining input information regarding to the scoring competition, obtaining a recognition result of a plurality of elements included in the performance, determining a difficulty level of each of the plurality of elements based on the recognition result and a first rule, limiting a target to be used for the scoring to a part of the plurality of elements according to the difficulty level of each of the plurality of elements, and outputting a scoring screen that includes a first display area displaying the plurality of elements and the difficulty level, a second display area for an aggregate result, third display area for a score of the performance directed to the limited part of the elements, and a fourth display area for a 3D model of the athlete.
Abstract: An optical element including a plurality of first circuits, the optical element includes a first cascade circuit in which one or more of first circuits are connected in cascade, a second cascade circuit in which one or more of first circuits are connected in cascade, and a combiner circuit configured to connect the first cascade circuit and the second cascade circuit. A first circuit included in the plurality of first circuits includes a first cascade structure in which N (N is an integer of 1 or larger) of 2-input and 2-output phase shifters and (N+1) of 2-input and 2-output couplers are alternately connected in cascade, and a first controller configured to control the N phase shifters in a direction in which optical input power decreases, the first controller being connected to one of two outputs of the first cascade structure.
Abstract: An apparatus and method to monitor a polarization change by inserting pilot signals in a transmission signal and converting the pilot signals in the receiving signal from a Jones space into a Stokes space. A velocity of a polarization change of the optical link is estimated by using the Stokes vectors of the pilot signals, thereby directly and accurately estimating the polarization change of the optical link. Moreover, estimation of the velocity of the polarization may be applicable where rotation of state of polarization and polarization-dependent loss coexist in an optical link.
Abstract: An information processing apparatus includes a processor to input each sample image into feature extracting components to obtain at least two features of the sample image, and to cause a classifying component to calculate a classification loss of the sample image based on the at least two features; extract, from each pair of features, a plurality of sample pairs for calculating mutual information between each pair of features; input the plurality of sample pairs into a machine learning architecture corresponding to each pair of features, to calculate an information loss between each pair of features.
Abstract: A non-transitory computer-readable recording medium records a specifying program for causing a computer to execute processing including: receiving a first file; acquiring information indicating a correspondence relationship between an item included in the first file and an item included in a second file; acquiring an item value associated with identification information of the received first file with reference to a storage that stores an item value associated with a specific item included in a file in association with the identification information of the file; comparing the item value associated with the specific item among the items included in the received first file with the acquired item value; and specifying a target item associated with an item value associated with a second item included in the received first file among items included in the second file on the basis of the comparison result and the acquired information.
Abstract: A method may include obtaining one or more software-repository packages. A programming-language function may be extracted from the one or more software-repository packages. A curation resource associated with the programming-language function may be identified. The curation resource may include descriptive information related to the programming-language function. The method may include generating a code description corresponding to the programming-language function based on the curation resource. A function-comment pair that includes the programming-language function and the generated code description may be determined. A programming language corpus that includes the one or more software-repository packages may be generated and augmented by the function-comment pair. The method may include training a machine learning model using the programming language corpus.
Abstract: A non-transitory computer-readable recording medium having stored therein a program for causing a computer to execute a process. The process includes storing each of a plurality of generation instructions in a storage area for each of assembly instructions, the generation instructions instructing the generation of instruction sequences of a first instruction set, each instruction sequence of the first instruction set executing a processing equivalent to each assembly instruction of a second instruction set, identifying a first register that is not used by any of the assembly instructions corresponding to the plurality of generation instructions by referring to the storage area, determining a second register of the first instruction set corresponding to the first register as a temporary register in each of the instruction sequences, and generating the instruction sequence that uses the temporary register.
Abstract: A photo detection element includes: a substrate; a light-receiving layer formed over the substrate, the light-receiving layer including graphene layers and spacer layers that are alternately stacked, light passing through each of the spacer layers, the spacer layers being made of insulating material; a first electrode that is in contact with the light-receiving layer; and a second electrode that is in contact with the light-receiving layer, a material of the second electrode being different from a material of the first electrode.