A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.

A technique is described herein for automatically logging journeys taken by a user, and then automatically classifying the purposes of the journeys. In one implementation, the technique obtains journey data from one or more movement-sensing devices as a user travels from a starting location to an ending location in a vehicle. The technique generates a set of features based on the journey data, and then uses a machine-trainable model (such as a neural network) to make its classification based on the features. The machine-trainable model accepts at least one feature that is based on statistical information regarding at least one aspect of prior journeys that the user has taken. Overall, the technique provides a resource-efficient solution that rapidly provides personalized results to individual respective users. In some implementations, the technique performs its personalization without sharing journey data with a remote server.

The disclosure relates to an autonomous device for tracking the usage time of a generator set, capable of providing an operating time of the generator set. The module includes at least one first sensor (101) capable of measuring a first parameter representing a state of operation of said generator set (9), a data processor furnishing the characteristic information for an operating time, as a function of the first parameter, storage of the characteristic information for an operating time, and a transmitter capable of transmitting the characteristic information for an operating time to a terminal or an external server.

An ignition coil unit includes: an ignition circuit including a primary coil and a secondary coil; a power generator including a generator coil; a controller configured to control an ignition timing of the ignition circuit by an input signal generated by an induced voltage of the generator coil; and a sensor configured to input load information to the controller. The controller includes a memory configured to store working time information which corresponds to operating information based on the input information and the load information, as matrix data composed of the operating information, the load information and time data.

There is provided an information processing apparatus for efficiently processing various products. The information processing apparatus includes a determiner that receives signals from sensors respectively provided in a plurality of machine tools, determines operation statuses of the plurality of machine tools, and derives a plurality of usable machine tools, a receiver that receives product specifying data for specifying a product to be manufactured, a decider that decides, based on the product specifying data, a necessary machine tool required to process the product, and a presenter that searches for the necessary machine tool from the plurality of usable machine tools, and presents information concerning a use machine tool as a search result.

There is provided an information processing apparatus for efficiently processing various products. The information processing apparatus includes a determiner that receives signals from sensors respectively provided in a plurality of machine tools, determines operation statuses of the plurality of machine tools, and derives a plurality of usable machine tools, a receiver that receives product specifying data for specifying a product to be manufactured, a decider that decides, based on the product specifying data, a necessary machine tool required to process the product, and a presenter that searches for the necessary machine tool from the plurality of usable machine tools, and presents information concerning a use machine tool as a search result.

An apparatus for prediction of the residual lifetime of an electrical system includes: an input unit; a processing unit; and an output unit. The input unit provides at least one sensor data from at least one sensor to the processing unit, the at least one sensor data including a measurement of at least one physical parameter of at least one component of an electrical system. Each sensor data is associated with a corresponding sensor and relates to a measurement of one physical parameter of a corresponding component of the electrical system. Each sensor data extends over a plurality of time windows and is assigned to a certain data class, such that sensor data at a particular time window has a value that falls into one of the data classes. For each sensor data the processing unit assigns the sensor data at each time window into a corresponding measurement window.

An apparatus for prediction of the residual lifetime of an electrical system includes: an input unit; a processing unit; and an output unit. The input unit provides at least one sensor data from at least one sensor to the processing unit, the at least one sensor data including a measurement of at least one physical parameter of at least one component of an electrical system. Each sensor data is associated with a corresponding sensor and relates to a measurement of one physical parameter of a corresponding component of the electrical system. Each sensor data extends over a plurality of time windows and is assigned to a certain data class, such that sensor data at a particular time window has a value that falls into one of the data classes. For each sensor data the processing unit assigns the sensor data at each time window into a corresponding measurement window.

In some implementations, a controller may obtain, during an event, pressure data regarding an amount of pressure of fluid associated with a component of the machine. The controller may obtain, during the event, flow data regarding a flow of the fluid associated with the component of the machine. The controller may determine, based on the pressure data and the flow data, an amount of wear of a track of the machine. The controller may perform an action based on the amount of wear of the track of the machine.

In some implementations, a controller may obtain, during an event, pressure data regarding an amount of pressure of fluid associated with a component of the machine. The controller may obtain, during the event, flow data regarding a flow of the fluid associated with the component of the machine. The controller may determine, based on the pressure data and the flow data, an amount of wear of a track of the machine. The controller may perform an action based on the amount of wear of the track of the machine.