A control device relates to a vehicle having an automatically opening and/or automatically closing lid with at least one control switch in the vicinity of the lid and with a programmable electronic control unit. The control switch may be operated arbitrarily contactlessly in the form of a proximity sensor and when operated generates an operation request signal which is an input signal to the control unit. The control unit is configured in such a manner that defined environmental conditions may be evaluated for the detection of a risk of salinity and humidity and that, given the presence of a risk of salt and water, an appropriate adaptation may be made to the evaluation of the operation request signal. Preferably, at least one outside temperature below a predefined threshold and information indicating the presence of moisture are defined as the environmental conditions to be evaluated for detecting the risk of salt and water.

A control device relates to a vehicle having an automatically opening and/or automatically closing lid with at least one control switch in the vicinity of the lid and with a programmable electronic control unit. The control switch may be operated arbitrarily contactlessly in the form of a proximity sensor and when operated generates an operation request signal which is an input signal to the control unit. The control unit is configured in such a manner that defined environmental conditions may be evaluated for the detection of a risk of salinity and humidity and that, given the presence of a risk of salt and water, an appropriate adaptation may be made to the evaluation of the operation request signal. Preferably, at least one outside temperature below a predefined threshold and information indicating the presence of moisture are defined as the environmental conditions to be evaluated for detecting the risk of salt and water.

A mobile work machine includes a wireless communication system configured to receive a wireless communication signal from a transmitter corresponding to a machine component on the mobile work machine, machine component identification logic configured to obtain a machine component identifier, that uniquely identifies the machine component, based on the wireless communication signal, operation detection logic configured to detect a machine operation associated with the machine component and to generate component performance data correlated to the machine component based on the machine operation, and control signal generator logic configured to generate a control signal that controls the mobile work machine based on the component performance data.

A mobile work machine includes a wireless communication system configured to receive a wireless communication signal from a transmitter corresponding to a machine component on the mobile work machine, machine component identification logic configured to obtain a machine component identifier, that uniquely identifies the machine component, based on the wireless communication signal, operation detection logic configured to detect a machine operation associated with the machine component and to generate component performance data correlated to the machine component based on the machine operation, and control signal generator logic configured to generate a control signal that controls the mobile work machine based on the component performance data.

A method selectively activates a resource to accommodate an advanced emotion. A supervisor computer receives a first piece of content, and then applies an emotion classifier to the first piece of content in order to create a first concept/emotion/sentiment/time tuple. The supervisor computer creates a second concept/emotion/sentiment/time tuple for a second piece of content, and compares the first and second tuples. If the concept in the first piece of content matches the concept in the second piece of content but that at least one of the emotion, sentiment, and time of the first piece of content does not match the emotion, sentiment, and time of the second piece of content, the supervisor computer determines that the emotion of the second piece of content is an advanced emotion that is not expressed by the first or second pieces of content, and activates a resource that accommodates the advanced emotion.

A method selectively activates a resource to accommodate an advanced emotion. A supervisor computer receives a first piece of content, and then applies an emotion classifier to the first piece of content in order to create a first concept/emotion/sentiment/time tuple. The supervisor computer creates a second concept/emotion/sentiment/time tuple for a second piece of content, and compares the first and second tuples. If the concept in the first piece of content matches the concept in the second piece of content but that at least one of the emotion, sentiment, and time of the first piece of content does not match the emotion, sentiment, and time of the second piece of content, the supervisor computer determines that the emotion of the second piece of content is an advanced emotion that is not expressed by the first or second pieces of content, and activates a resource that accommodates the advanced emotion.

A cleanup support system that supports a cleanup behavior includes: a first obtaining unit configured to obtain first information indicating a level of interest of a target person in cleanup; a second obtaining unit configured to obtain second information indicating a level of achievement of the cleanup performed by the target person; a determination unit configured to determine a content of control corresponding to the first information obtained and the second information obtained, with reference to a rule which associates the level of interest in the cleanup and the level of achievement of the cleanup with a content of control performed on a device; and a control unit configured to control the device according to the content of control determined.

A cleanup support system that supports a cleanup behavior includes: a first obtaining unit configured to obtain first information indicating a level of interest of a target person in cleanup; a second obtaining unit configured to obtain second information indicating a level of achievement of the cleanup performed by the target person; a determination unit configured to determine a content of control corresponding to the first information obtained and the second information obtained, with reference to a rule which associates the level of interest in the cleanup and the level of achievement of the cleanup with a content of control performed on a device; and a control unit configured to control the device according to the content of control determined.

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can identify a plurality of constraints on states of data and actions of data associated with a data model. Embodiments of the present invention can then identify constraints on safety policy parameters associated with a computing device. Embodiments of the present invention can then convert the identified constraints into a uniform domain syntax that considers coupled and decoupled constraints and introduce buffer data within the converted constraints, wherein the buffer data filters outlier constraints within the plurality of constraints. Embodiments of the present invention can then dynamically generate optimal safety policies associated with the computing device based on the remaining constraints.

Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. Embodiments of the present invention can identify a plurality of constraints on states of data and actions of data associated with a data model. Embodiments of the present invention can then identify constraints on safety policy parameters associated with a computing device. Embodiments of the present invention can then convert the identified constraints into a uniform domain syntax that considers coupled and decoupled constraints and introduce buffer data within the converted constraints, wherein the buffer data filters outlier constraints within the plurality of constraints. Embodiments of the present invention can then dynamically generate optimal safety policies associated with the computing device based on the remaining constraints.