Abstract: A radio terminal station device includes a communication unit, an information acquisition unit, a threshold calculation unit, a detection unit, and a system selection unit. The communication unit selects any one of a plurality of different communication systems and performs a radio communication. The information acquisition unit acquires information including a communication state of the radio terminal station device and at least communication states of other radio terminal station devices. The threshold calculation unit calculates a threshold value for detecting deterioration of the communication state of the radio terminal station device. The detection unit detects the deterioration of the communication state of a communication system used by the radio terminal station device.

Abstract: A gas turbine engine includes a cooling air supply passage that feeds air from a compressor, as a cooling medium, to a turbine by swirling the air in a circumferential direction. The cooling air supply passage includes an entry zone to which the air enters, and a swirl zone in which the air flowing past the entry zone is circumferentially redirected. The gas turbine engine also includes a chamber branching from the swirl zone to capture foreign particles in the air. The chamber is formed to meet the relation: ??? where, when viewed in a radial direction, ? is an angle defined by the swirl zone relative to a horizontal direction and ? is an angle defined between the chamber and the swirl zone.

Abstract: The amusement device according to the present disclosure includes: a laser irradiation unit 1 that emits a laser beam; a reflector 3 that reflects the laser beam emitted from the laser irradiation unit 1; and a laser light receiving unit 2 that serves as a target onto which the laser beam emitted from the laser irradiation unit 1 is incident. The amusement device according to the present disclosure further includes an obstacle 5 that can block the laser beam emitted from the laser irradiation unit 1. The laser irradiation unit 1 is configured to enable the emission direction of the laser beam to be changed by an operation by a user. The reflector 3 is configured to enable the direction of a reflection surface to be changed by an operation by the user. The obstacle 5 is configured to be movable by an operation by the user.

Abstract: An information processing apparatus acquires document data, and an item and a numerical value which are associated with each other, and extracts, in a case in which a second numerical value within an allowable range including an acquired first numerical value is included in the document data, a phrase existing around the second numerical value included in the document data as a candidate for a synonymous term of the item.

Abstract: An information processing apparatus generates a first character string set by dividing first document data into different lengths, derives an evaluation value of each character string constituting the first character string set by using the first character string set and second document data created from the first document data in accordance with a purpose, and selects, based on the derived evaluation value, a plurality of character strings from the first character string set as correct answer data of a generative model that receives input of document data and outputs a second character string set including a plurality of character strings included in the input document data.

Abstract: A transmission space reproduction method according to an embodiment includes: a propagation characteristics calculation step of performing simulation while sequentially changing a parameter in a reverberation chamber used to reproduce propagation characteristics so as to calculate propagation characteristics in the reverberation chamber, a machine learning step of forming a learning model for a calculated parameter by machine learning using actually measured propagation characteristics and parameters, a parameter generation step of generating a parameter corresponding to propagation characteristics to be reproduced using the formed learning model, and a reproduction execution step of controlling a channel emulator based on the generated parameter so as to perform processing of forming a transmission space having the propagation characteristics to be reproduced in the reverberation chamber.

Abstract: An object is to provide a terminal device, a communication method, and a communication system which are capable of acquiring accurate optical ID information regardless of the position of the terminal device and the light receiving angle. The terminal device, the communication method, and the communication system according to the present invention each sets a threshold value for the illuminance of a received optical signal by using a moving average method, a weighted moving average method, or an exponential moving average, so that the optical signal can be binarized with a threshold value according to a change in the position of the terminal device, the light receiving angle, or the like. Information from other sensors may be used to set the threshold value.

Abstract: An object of the present disclosure is to make already installed smart lightings available as optical base stations as they are without modifying them, and perform connection/authentication control for RF communication using an optical signal sent out from the optical base stations.

Abstract: An object of the present invention is to provide a terminal device, a communication method, and a communication system which are capable of reducing the error rate even if the transmitting side and the receiving side are asynchronous. The terminal device, communication method, and communication system according to the present invention sample an optical signal more finely than a 0/1 bit pattern in optical ID estimation processing for determining which of 1/0 the data acquired by an optical sensor is, and perform a majority decision using a plurality of sampling values in a decision processing window. Thus, even if the correct sampling value fails to be obtained, the correct bit value can be derived from other samplings.

Abstract: An object of the present disclosure is to inform a user of a safe evacuation guidance route in real time using smart lightings without deploying dedicated evacuation guidance facilities. The present disclosure is a wireless communication system including: one or more wireless base stations that wirelessly communicate with a terminal; a plurality of optical base stations that transmit an optical signal to the terminal; and a base station control device that controls the optical signal transmitted by the optical base stations, wherein the base station control device collects environment information around the optical base stations, detects a disaster around the optical base stations using the collected environment information, and when detecting a disaster, causes the optical base station installed at a position close to a disaster occurrence location and the optical base station installed at a position far from the disaster occurrence location to output light of different colors.

Abstract: A prediction device that predicts information related to a patient based on medical data of the patient, including: a processor; and a memory connected the processor, in which the processor being configured to execute: data set extraction processing of extracting M data sets by classifying pieces of medical data of plural patients into any one of M types of predetermined attributes, training data set generation processing of generating M training data sets related to the M types of attributes from the M data sets, similarity calculation processing of calculating, for each pair of the M types of attributes, a similarity between the attributes, training processing of training one or plural machine learning models based on the similarity between the attributes by using the M training data sets, and prediction processing of causing the one or plural machine learning models to predict the information related to the patient.

Abstract: There is provided a device for determining an execution order of a plurality of tasks, the device including: processor; and a memory connected to or built in the processor, in which the processor is configured to execute execution order determination processing of determining an execution order of the plurality of tasks under a condition that an output of at least one task of the tasks is input to the task in a subsequent stage.

Abstract: There is provided a device for generating a data merging rule for a machine learning model, the device including: a processor, and a memory connected to or built in the processor, in which the processor is configured to execute specifying processing of specifying a combination of feature vectors that are included in a data set including a correct answer label and are allowed to be merged, and rule generation processing of generating a merging rule of the feature vectors based on a combination of the feature vectors that are allowed to be merged.

Abstract: An information processing apparatus extracts a phrase corresponding to a named entity included in an input sentence used for training a natural language processing model from data in which a phrase and a classification name of a named entity are associated with each other, adds the extracted phrase to the classification name corresponding to the extracted phrase among a plurality of different classification names which are set in advance, derives a similarity between a distributed representation of each word included in the input sentence and a distributed representation of each of the plurality of classification names to which the phrase is added, and select a classification name of each word included in the input sentence from among the plurality of classification names based on the derived similarity.

Abstract: A model generation apparatus includes a processor that is configured to: acquire information data for learning, acquire document data for learning, extract a first portion and a second portion having a lower rate of match with the information data than the first portion from the document data based on a rate of match between the information data and each portion of the document data, generate a first machine learning model by using first learning data in which first data for learning included in the information data is used as input data and the first portion is used as correct answer data, and generate a second machine learning model by using second learning data in which second data for learning included in the information data is used as input data and the second portion is used as correct answer data.

Abstract: There is provided an information processing method, an information processing apparatus, and a program capable of preparing a high performance model for an unknown introduction destination facility even in a case where a domain of the introduction destination facility is unknown at a step of training a model. The information processing method includes: dividing a dataset, which indicates a behavior of a user on an item for each of combinations of a plurality of the users and a plurality of the items, into a plurality of subgroups that are robust with respect to domain shift; generating a local model for performing a prediction of the behavior of the user on the item for each of the subgroups; and combining a plurality of the local models generated for each of the subgroups.

Abstract: An information processing apparatus includes at least one processor, in which the processor is configured to: for a machine learning model that uses a document data group including a plurality of document data as input and outputs output data, derive an evaluation value in the machine learning model for each document data included in the document data group.

Abstract: An information processing apparatus including: plural models including at least a first model that uses first data as input to carry out a first prediction task and a second model that uses second data as input to carry out a second prediction task different from the first prediction task, and at least one processor, in which the processor is configured to: acquire information data representing information related to a specific target; select a selection model to be used for prediction from among the plural models based on the information data; and derive a degree of importance to the specific target for each item included in the information data by using the selection model.

Abstract: Provided are an information processing method, an information processing system, and a program capable of generating a suggested item list that is robust against the domain shift by applying a plurality of models that are trained by using datasets of domains different from an introduction destination domain. The information processing system is configured to: acquire one or more candidate items from each of a plurality of models trained by using datasets in one or more domains different from an introduction destination domain; and select, from among a plurality of the acquired candidate items, a plurality of candidate items having different domains from each other as suggested items and generate a suggested item list that is a suggested item list including a plurality of the suggested items and that has robust performance against a domain shift.

Abstract: An information processing system includes one or more processors, in which the one or more processors are configured to: perform a training, by using data of each facility collected at each of a plurality of facilities, of a local model that predicts, for each of the facilities, a behavior of a user on an item; perform an evaluation of a difference between models in a parameter of the local model trained for each of the facilities; and correct the training of the local model such that the difference between the models is small based on a result of the evaluation.