Abstract: A heat management system includes a high-temperature heat medium circuit, a low-temperature heat medium circuit, a circuit connection part, and a circuit switching part. The high-temperature heat medium circuit connects a heat medium and refrigerant heat exchanger and a heater core. The low-temperature heat medium circuit connects a radiator and a heat generation equipment. The circuit connection part connects the high-temperature heat medium circuit and the low-temperature heat medium circuit such that the heat medium can flow in and out. The heat management system is switched by the circuit switching part between an operation mode in which the heat medium heated by the heat medium and refrigerant heat exchanger is circulated through the heater core and an operation mode in which the heat medium heated by the heat generation equipment and the heat medium and refrigerant heat exchanger is circulated through the heater core.

Abstract: A heat management system includes a high-temperature heat medium circuit, a low-temperature heat medium circuit, a circuit connection part, and a circuit switching part. The high-temperature heat medium circuit connects a heat medium and refrigerant heat exchanger and a heater core. The low-temperature heat medium circuit connects a radiator and a heat generation equipment. The circuit connection part connects the high-temperature heat medium circuit and the low-temperature heat medium circuit such that the heat medium can flow in and out. The heat management system is switched by the circuit switching part between an operation mode in which the heat medium heated by the heat medium and refrigerant heat exchanger is circulated through the heater core and an operation mode in which the heat medium heated by the heat generation equipment and the heat medium and refrigerant heat exchanger is circulated through the heater core.

Abstract: A non-transitory computer-readable recording medium stores a generation program for causing a computer to execute a process including: with data included in each of a plurality of data sets, training a feature space in which a distance between pieces of the data included in a same domain is shorter and the distance of the data between different domains is longer; and generating labeled data sets by integrating labeled data included within a predetermined range in the trained feature space, among a plurality of pieces of the labeled data.

Abstract: A program for causing a computer to execute processing including: acquiring a plurality of datasets, each of which includes data values associated with a label, the data values having properties different for each dataset; calculating an index indicating a degree of a difference between first and second datasets by using a data value in the second dataset; calculating accuracy of a prediction result for the second dataset, predicted by a prediction model trained using the first dataset; specifying a relationship between the index and the accuracy of the prediction result from the prediction model, based on the index and the accuracy calculated for each of a plurality of combinations of the first and second datasets; and estimating accuracy of the prediction result from the prediction model for a third dataset including data values without labels based on the specified relationship and the index between the first and third datasets.

Abstract: A flow path switching device includes: a first passage portion; a second passage portion; a first cover member attached to the first passage portion; and a second cover member attached to the second passage portion. The first passage portion includes a first passage connected to a fluid circuit and having a groove shape. The second passage portion includes a second passage connected to the fluid circuit to communicate with the first passage at a plurality of places and having a groove shape. The first passage portion, the second passage portion, and a drive unit are stacked in this order. The first cover member includes: a sealing portion to seal an opened portion of the first passage; and an opening arranged along an outer edge of the opened portion of the first passage.

Abstract: A thermal management system includes a high-temperature side heating medium circuit, a low-temperature side heating medium circuit, a device heating medium circuit, a circuit connection portion and a circuit switch unit. The circuit switch unit switches between an operation mode in which a heating medium that passed through the low-temperature side heating medium circuit is circulated through any one of the high-temperature side heating medium circuit and the device heating medium circuit via the circuit connection portion and an operation mode in which the high-temperature side heating medium circuit, the low-temperature side heating medium circuit, and the device heating medium circuit are connected via the circuit connection portion, and the heating medium is circulated through a heat generation device, a device heat exchange unit, a heating unit, and a heater core.

Abstract: A computer-implemented method of a determination processing, the method including: calculating, in response that deterioration of a classification model has occurred, a similarity between a first determination result and each of a plurality of second determination results, the first determination result being a determination result output from the classification model by inputting first input data after the deterioration has occurred to the classification model, and the plurality of second determination results being determination results output from the classification model by inputting, to the classification model, a plurality of pieces of post-conversion data converted by inputting second input data before the deterioration occurs to a plurality of data converters; selecting a data converter from the plurality of data converters on the basis of the similarity; and preprocessing in data input of the classification model by using the selected data converter.

Abstract: A deterioration suppression device generates a plurality of trained machine learning models having different characteristics on the basis of each training data included in a first training data set and assigned with a label indicating correct answer information. In a case where estimation accuracy of label estimation with respect to input data to be estimated by any trained machine learning model among the plurality of trained machine learning models becomes lower than a predetermined standard, the deterioration suppression device generates a second training data set including a plurality of pieces of training data using an estimation result by a trained machine learning model with the estimation accuracy equal to or higher than the predetermined standard. The deterioration suppression device executes re-learning of the trained machine learning model with the estimation accuracy lower than the predetermined standard using the second training data set.

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 storage medium storing an information processing program that causes at least one computer to execute a process, the process includes acquiring a first machine learning model trained by using a training data set including first data and a second machine learning model not trained with the specific data; and retraining the first machine learning model so that an output of the first machine learning model and an output of the second machine learning model when second data corresponding to the first data is input get close to each other.

Abstract: A non-transitory computer-readable storage medium storing a data presentation program that causes at least one computer to execute a process, the process includes acquiring certain data from an estimation target data set that uses an estimation model, based on an estimation result for the estimation target data set; and presenting data obtained by changing the certain data in a direction orthogonal to a direction in which loss of the estimation model fluctuates, in a feature space that relates to feature amounts obtained from the estimation target data set.

Abstract: A heat management system includes a high-temperature heat medium circuit, a low-temperature heat medium circuit, a circuit connection part, and a circuit switching part. The high-temperature heat medium circuit connects a heat medium and refrigerant heat exchanger and a heater core. The low-temperature heat medium circuit connects a radiator and a heat generation equipment. The circuit connection part connects the high-temperature heat medium circuit and the low-temperature heat medium circuit such that the heat medium can flow in and out. The heat management system is switched by the circuit switching part between an operation mode in which the heat medium heated by the heat medium and refrigerant heat exchanger is circulated through the heater core and an operation mode in which the heat medium heated by the heat generation equipment and the heat medium and refrigerant heat exchanger is circulated through the heater core.