Abstract: A data collection system for machine learning that is configured to collect data containing personal information from vehicles while administrating the collected personal information tightly. The data collection system comprises a control unit and a human-machine interface. The control unit comprises a power switch recognizer and a human-machine interface controller. The control unit is configured to collect data from the vehicle to perform machine learning while the power switch is on, and confirm an intention of the user to use the data of the vehicle for machine learning via the human-machine interface.

Abstract: A vehicle allocation device includes a processor including hardware, the processor being configured to: determine, for each vehicle, a necessity of suppressing lowering of performance of an internal combustion engine based on vehicle information corresponding to the vehicle; determine a reservation as a first reservation when reservation information corresponding to the reservation of renting the vehicle satisfies a first condition under which suppressing of lowering of the performance is expected; and allocate the vehicle to the reservation based on the reservation information, wherein the processor is configured to allocate, in a case where the reservation is the first reservation, the vehicle satisfying a second condition indicating a high necessity of the suppression of lowering of the performance or the vehicle having a higher necessity of the suppression of lowering of the performance than the other vehicle to the reservation.

Abstract: A vehicle allocation device for allocating a vehicle in response to a vehicle allocation request from a terminal of a user includes a vehicle selection unit configured to select, from a plurality of vehicles learning a relationship between input parameters and an output parameter related to traveling, a vehicle having relatively large learning progress in the relationship between the input parameters and the output parameter, and output a vehicle allocation instruction to the selected vehicle in a case where the vehicle allocation request is received.

Abstract: A vehicle allocation device allocates a vehicle in response to a vehicle allocation request from a terminal of a user, and includes a vehicle selector configured to, when acquiring the vehicle allocation request, select a vehicle having a relatively large degree of progress in learning of a relation between input and output of a parameter depending on an area to be traveled by the user from a plurality of vehicles learning a relation between input and output of a parameter depending on a predetermined area, and output a vehicle allocation instruction to the selected vehicle.

Abstract: A machine learning device of an amount of unburned fuel using a neural network in which the correlation functions showing correlations between parameters and an amount of unburned fuel are found for parameters relating to operation of an internal combustion engine, and the parameters with strong degrees of correlation with the amount of unburned fuel exhausted from the engine are selected from among the parameters based on the correlation functions. The amount of unburned fuel is learned by using the neural network from the selected parameters and amount of unburned fuel.

Abstract: A control support device for supporting control of a vehicle using a learned model obtained by machine learning, includes: a data acquisition unit acquiring sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit generating a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit Transmitting at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: A control support device for supporting control of a vehicle using a learned model obtained by machine learning, includes: a data acquisition unit acquiring sensor information, which is related to a state of an inside or an outside of a supplying vehicle that supplies parameters to be used for the machine learning; a learning unit generating a learned model by performing the machine learning using an input/output data set, which is the sensor information acquired by the data acquisition unit and is data including input parameters and an output parameter of the learned model; and a transmission unit Transmitting at least one of the generated learned model and an output parameter calculated by inputting sensor information of the vehicle, control of which is supported, to the generated learned model as an input parameter.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: A machine learning device of an amount of unburned fuel using a neural network in which the correlation functions showing correlations between parameters and an amount of unburned fuel are found for parameters relating to operation of an internal combustion engine, and the parameters with strong degrees of correlation with the amount of unburned fuel exhausted from the engine are selected from among the parameters based on the correlation functions. The amount of unburned fuel is learned by using the neural network from the selected parameters and amount of unburned fuel.

Abstract: A learning use data set showing relationships among an engine speed, an engine load rate, an air-fuel ratio of the engine, an ignition timing of the engine, an HC or CO concentration of exhaust gas flowing into an exhaust purification catalyst and a temperature of the exhaust purification catalyst is acquired. The acquired engine speed, engine load rate, air-fuel ratio of the engine, ignition timing of the engine, and HC or CO concentration of the exhaust gas flowing into the exhaust purification catalyst are used as input parameters of a neural network and the acquired temperature of the exhaust purification catalyst is used as training data to learn a weight of the neural network. The learned neural network is used to estimate the temperature of the exhaust purification catalyst.

Abstract: According to one aspect of the present invention, there is provided a control device for an internal combustion engine, in which an electric heating catalyst (EHC) having a catalyst support generating heat by energizing is provided to an exhaust passage. The control device includes a control unit configured to energize the support in the case where a rapid change in intake air flow is detected based on an intake air flow of the internal combustion engine or a correlation value of the intake air flow, so as to suppress any occurrence of a crack caused by an increase in difference in temperature between predetermined portions at the support during the rapid change in intake air flow.

Abstract: An exhaust gas control apparatus for an internal combustion engine, controls an exhaust operation of the internal combustion engine (200) provided with an exhaust gas purification catalyst (216) in an exhaust passage (215). The exhaust gas control apparatus for the internal combustion engine is provided with; a warming-up device configured to warm up the exhaust gas purification catalyst; and an oxygen supplying device (220, 221) configured to supply oxygen to the exhaust gas purification catalyst after the end of the warm-up. This makes it possible to preferably desorb sulfur adsorbed to the exhaust gas purification catalyst during warm-up. It is therefore possible to suppress a reduction in purification ability of the exhaust gas purification catalyst due to sulfur coating.

Abstract: According to one aspect of the present invention, there is provided a control device for an internal combustion engine, in which an electric heating catalyst (EHC) having a catalyst support generating heat by energizing is provided to an exhaust passage. The control device includes a control unit configured to energize the support in the case where a rapid change in intake air flow is detected based on an intake air flow of the internal combustion engine or a correlation value of the intake air flow, so as to suppress any occurrence of a crack caused by an increase in difference in temperature between predetermined portions at the support during the rapid change in intake air flow.

Abstract: A control system includes an electrical heating catalyzer, a measuring device and an electronic control unit. The measuring device measures an insulation resistance between a catalyst carrier and case of the electrical heating catalyzer. The electronic control unit determines that the electrical heating catalyzer has a failure when a variation width of the insulation resistance is smaller than or equal to a set value in a historical variation in the insulation resistance measured by the measuring device.

Abstract: A catalytic device of an internal combustion engine includes: an electrical heating catalytic unit; a downstream side catalytic unit that is located on a downstream side of the electrical heating catalytic unit; an outer cylinder that houses the electrical heating catalytic unit and the downstream side catalytic unit; and a first insulating member that is provided on an inner face of the outer cylinder from at least a part housing the electrical heating catalytic unit to another part housing the downstream side catalytic unit, wherein: the downstream side catalytic unit is divided into an outer circumference portion and an inner portion that is surrounded by the outer circumference portion; and a thermal amount of exhaust gas flowing in the outer circumference portion is larger than a thermal amount of exhaust gas flowing in the inner portion.

Abstract: An exhaust gas control apparatus for an internal combustion engine, controls an exhaust operation of the internal combustion engine (200) provided with an exhaust gas purification catalyst (216) in an exhaust passage (215). The exhaust gas control apparatus for the internal combustion engine is provided with a warming-up device configured to warm up the exhaust gas purification catalyst; and an oxygen supplying device (220, 221) configured to supply oxygen to the exhaust gas purification catalyst after the end of the warm-up. This makes it possible to preferably desorb sulfur adsorbed to the exhaust gas purification catalyst during warm-up. It is therefore possible to suppress a reduction in purification ability of the exhaust gas purification catalyst due to sulfur coating.

Abstract: A control system includes an electrical heating catalyzer, a measuring device and an electronic control unit. The measuring device measures an insulation resistance between a catalyst carrier and case of the electrical heating catalyzer. The electronic control unit determines that the electrical heating catalyzer has a failure when a variation width of the insulation resistance is smaller than or equal to a set value in a historical variation in the insulation resistance measured by the measuring device.

Abstract: A substrate 10 that selectively allows hydrogen to permeate therethrough is formed with a catalyst thin layer 20 on a first side 11 thereof and is heated in a furnace tube 110, which functions as a reactor, of a heating furnace 100 while a raw material gas to the catalyst thin layer 20 is fed. Hydrogen produced on the first side 11 of the substrate 10 as a result of the formation of carbon nanotubes 5 is separated from the raw material gas and is allowed to permeate to a second side 12 thereof.

Abstract: The present invention provides a hydrogen-generating apparatus in which the reduction in reforming efficiency associated with an increase in switching frequency to the regeneration reaction can be suppressed, and generation of hydrogen by reforming can stably be performed. In the reforming reaction, a cathode offgas discharged from a hydrogen-separation-membrane fuel cell 30 having a hydrogen-permeating film is supplied to PSR reformers 10 and 20, in which the reforming reaction and the regeneration reaction are performed alternately.