Abstract: A light receiving element includes a light receiving layer that includes a superlattice of an InAs layer and a GaSb layer, and an amorphous layer that covers a side wall surface of the light receiving layer. The amorphous layer contains In and As, and an amount of Ga and an amount of Sb contained in the amorphous layer are smaller than an amount of In and an amount of As contained in the amorphous layer.

Abstract: An optical transmitter includes a signal processor and transmission circuit. The signal processor modulates a first signal to generate a first modulated signal, determines a modulo amplitude that is larger than an amplitude of the first modulated signal, inserts a second modulated signal into the first modulated signal to generate a transmission signal, corrects a symbol of the transmission signal by using an amplitude of one or a plurality of previous symbols to generate a pre-equalized signal, and performs modulo calculation based on the modulo amplitude on the pre-equalized signal. The transmission circuit generates a modulated optical signal based on an output signal of the signal processor and transmits the modulated optical signal to a reception node. An amplitude of the second modulated signal is equal to the modulo amplitude.

Abstract: A non-transitory computer-readable storage medium storing a merchandise purchase support program that causes at least one computer to execute a process, the process includes obtaining pieces of position information of each of a plurality of users; when there is an inquiry about an arrangement position of certain merchandise from a user of the plurality of users, specifying a first position where the user has performed a certain action indicating a feature of searching for the arrangement position of the certain merchandise, based on the piece of position information obtained in certain time before execution of the inquiry among the pieces of position information of the user; and determining a second position near the specified first position as a candidate for a new arrangement position of the certain merchandise.

Abstract: A computer acquires cluster data and performance data. The cluster data represents classification results obtained by classifying multiple sample programs into two or more clusters and arranging the clusters in multiple levels in such a manner that each level contains a different number of clusters. The performance data represents an execution performance of each sample program. The computer calculates, for each of two or more clusters in each level, a first evaluation value based on an index value for reusability of two or more sample programs belonging to the cluster and the execution performances of those sample programs. The computer also calculates, for each level, a second evaluation value based on the first evaluation values corresponding to the two or more clusters of the level. The computer selects, based on the second evaluation values corresponding to the multiple levels, the classification results of a level amongst the multiple levels.

Abstract: A non-transitory computer-readable recording medium stores a determination program causing a computer to execute a processing of: determining, based on at least one of an opinion of respective users with respect to a specific topic and information regarding an approval or a disapproval of the respective users for an opinion of another person with respect to the specific topic, a tendency of a change in an index value indicating a degree of positive emotions of the users; and outputting, when detecting a first tendency and a second tendency in which a difference between the first tendency and the second tendency is equal to or less than a threshold value, a first user corresponding to the first tendency and a second user corresponding to the second tendency from among the users as third users included in a target group.

Abstract: A non-transitory computer-readable recording medium storing an output program causing a computer to execute a process, the process includes extracting an operation description related to a data operation for input data to a machine learning program, from the machine learning program, determining an extraction condition of target data to be operated in the data operation, based on the extracted operation description, extracting the target data which satisfies the determined extraction condition, from the input data, and outputting sampling data which includes the extracted target data.

Abstract: A data processing method including: upon switching an object to a first group among groups of an Ising model when a search for a solution to a problem represented by the Ising model is performed by switching to each of the groups obtained by dividing the state variables, reading first weighting factors corresponding to pairs of the state variables whose values have changed and each first state variable belonging to the first group; updating a local field of the first state variable; executing the search on the first group by using second weighting factors and the local field of the first state variable; and after ending the search on the first group, updating the change information according to presence or absence of a change in the values for the first state variable by the search at a current time, to switch the object to be searched to a next group.

Abstract: A process for machine learning processing of a machine learning model in which a natural language processing model and a classification model are combined, the process includes obtaining a first projection matrix that is obtained in an n-th iteration of the machine learning processing and that indicates a correspondence between input data input from the natural language processing model to the classification model and output data output from the classification model, updating a parameter of the natural language processing model, updating a parameter of the classification model by using the first projection matrix, and obtaining, in an n+1-th iteration of the machine learning processing, a second projection matrix that indicates a correspondence between input data input from the updated natural language processing model to the updated classification model and output data output from the updated classification model, wherein the n is a natural number.

Abstract: According to an aspect of an embodiment, operations include receiving an input comprising a node-based graph associated with a real-world optimization problem and generating a sparse graph by removing a subset of edges from the node-based graph, The operations further include formulating operators of a quantum circuit on a quantum computer based on the sparse graph and formulating a cost function for the real-world optimization problem. The operations further include executing a set of operations which includes operating the quantum circuit on the quantum computer to generate a result, estimating a value of the cost function using the result, and updating parameters of the operators based on the value. The operations further include generating a final solution of the real-world optimization problem by repeating the execution of the set of operations using the updated parameters, until the estimated value of the cost function approaches a predefined threshold value.

Abstract: According to an aspect of an embodiment, operations may include obtaining a first waveform profile corresponding to an optical signal received at an optical receiver via an optical link between the optical receiver and an optical transmitter. The operations may also include obtaining a second waveform profile that is an estimate of the first waveform profile. The second waveform profile may be based on one or more properties of the optical link and may be based on a complex scaling factor that accounts for rotation of the optical signal as the optical signal propagates via the optical link. In addition, the operations may include determining a power profile estimation corresponding to the optical link based on a comparison between the first waveform profile and the second waveform profile.

Abstract: A process includes receiving, by a machine learning support system, an instruction to generate a machine learning model from a plurality of candidate-programs, specifying, for each of the plurality of candidate-programs generated using a program-component included in any of a plurality of program-component sets, a first proficiency-level of a user for a first program-component set which includes a first program-component used in the candidate-program, the first proficiency-level is based on proficiency-level information which indicates a proficiency-level of the user related to use of each of the plurality of program-component sets and is determined based on a use record of the plurality of program-component sets in an editing process of the candidate-program by the user and a change in performance of the candidate-program by the editing process, and determining, for each of the plurality of candidate-programs, a priority to present the candidate-program to the user, based on the specified first proficiency-l

Abstract: A non-transitory computer-readable storage medium storing an optimization program that causes at least one computer to execute a process, the process includes setting, for a region of a design target, a plurality of Gaussian functions as basis functions of a shape function that corresponds to a shape of a design target item in the region; and identifying the shape of the design target item indicated by the shape function obtained by combining the plurality of Gaussian functions identified to be disposed by identifying whether to dispose the plurality of Gaussian functions.

Abstract: A recording medium stores a program for causing a computer to execute processing including acquiring a captured image and a depth image that represents a distance from an imaging position, identifying a road region and another region in contact with the road region from the captured image, calculating a change in a depth of a first region that corresponds to the road region and a change in a depth of a second region that corresponds to the another region included in the depth image, determining whether or not the another region is a detection target based on the change in the depth of the first region and the change in the depth of the second region, and identifying a position of a subject included in the another region based on the depth of the second region and the imaging position when the another region is the detection target.

Abstract: Optical transmission system transmits WDM signal from first node to second node via optical fiber. The optical transmission system includes: first OCM that detects optical power of each wavelength channel of the WDM signal in the first node; second OCM that detects optical power of each wavelength channel of the WDM signal in the second node; first processor that calculates linear SNR of each wavelength channel based on the optical power of each wavelength channel detected by the second OCM; second processor that calculates non-linear SNR of each wavelength channel based on the optical power of each wavelength channel detected by the first OCM; third processor that calculates GSNR for each wavelength channel using the linear SNR and the non-linear SNR; and fourth processor that controls transmission power of each wavelength channel of the WDM signal based on the GSNR of each wavelength channel.

Abstract: A heat dissipation sheet includes a first sheet composed of a plurality of first carbon nanotubes, and a second sheet composed of a plurality of second carbon nanotubes, wherein the first sheet and the second sheet are coupled in a stacked state, and the first carbon nanotubes and the second carbon nanotubes are different in an amount of deformation when pressure is applied.

Abstract: A processing method includes: determining at least one of first conditions in a first situation, by a second wireless apparatus in a system which includes a first wireless apparatus and a plurality of the second wireless apparatuses, the first situation being when the wireless apparatus operates in an idle mode and when communication between the wireless apparatus and the one other second wireless apparatus is performed via a first channel, the first conditions including whether a quality of the first channel is lower than a predetermined quality and whether a switching instruction is received; and executing a first process by the second wireless apparatus when the at least one of first conditions is met, the first process including establishing a second channel between the second wireless apparatus and the first wireless apparatus, and switching from communication via the first channel to communication via the second channel.

Abstract: Embodiments of this disclosure provide sidelink resource multiplexing and indication methods and apparatuses thereof. The method includes: receiving by a second device length information indicating a length of a first part in a slot transmitted by a terminal equipment or a network device; and performing transmission and/or reception of sidelink information by the second device with a first device according to the length information. Hence, the second device is able to process the first part according to the length information, thereby improving performance of sidelink transmission.

Abstract: A communication device includes a processor that selects a first resource such that the first resource that is used to transmit data by the communication device does not overlap with a second resource that is used to transmit data by another communication device located in vicinity of the communication device and a transmitter that transmits the data by using the first resource selected by the processor.

Abstract: A non-transitory computer-readable recording medium stores a performance monitoring program for causing a computer to execute processing including: in collection of a plurality of pieces of performance information of a processor when a program that operates in the processor is executed, associating and accumulating an operation characteristic of the program for each of the plurality of pieces of performance information; and selecting, in a case where the number of performance monitoring counters (PMCs) included in the processor is smaller than a total number of the plurality of pieces of performance information, performance information that has the operation characteristic of the program most separated from a current value of the operation characteristic of the program from the plurality of pieces of performance information, and allocating the performance information to the PMC.

Abstract: A training method for causing a computer to execute process, the process includes measuring an inter-symbol interference value generated in a transmission path of double data rate (DDR) transmission that uses a decision feedback equalizer (DFE) circuit, based on a control result of a training pattern, a voltage reference value of a dynamic random access memory (DRAM), and a tap value of the DFE circuit, and obtaining a set tap value to be set in the DFE circuit, based on the measured inter-symbol interference value.