Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input from a device. The NLP system may also receive one or more signals representing one or more assistants to be implemented with respect to the natural language input. The NLP system may intelligently select an assistant to be invoked with respect to the natural language input. Once the assistant is selected, the NLP system may cause content, output to a user, to have characteristics specific to the assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input corresponding to more than one user command. The NLP system may respond to a first command, of the natural language input, using a TTS voice of a first NLP system assistant. The NLP system may respond to a second command, of the natural language input, using a TTS voice of a second NLP system assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant are described. The NLP system may receive a natural language input from a device. The NLP system may also receive one or more signals representing one or more assistants to be implemented with respect to the natural language input. The NLP system may intelligently select an assistant to be invoked with respect to the natural language input. Once the assistant is selected, the NLP system may cause content, output to a user, to have characteristics specific to the assistant.

Abstract: Techniques for a natural language processing (NLP) system to implement more than one assistant during a dialog between one or more users and the NLP system are described. The NLP system may receive a first natural language input and associate same with a dialog identifier. The NLP system may output audio, responsive to the first natural language input, in a first NLP system assistant's voice. Thereafter, the NLP system may receive a second natural language input and associate same with the dialog identifier. The NLP system may output audio, responsive to the second natural language input, in a second NLP system assistant's voice.

Abstract: An integrated monitoring system for a vehicle including a brake pad wear sensor and a wheel speed sensor. A wheel speed sensor signal line is connected between the wheel speed sensor and an electronic control unit. A wheel speed power line is connected between the wheel speed sensor, the brake pad wear sensor, and the electronic control unit. The electronic control unit is configured to monitor the wheel speed sensor signal line for a signal indicative of a wheel speed and monitors the wheel speed power line for a signal indicative of a brake pad condition.

Abstract: A fastening device for a line in a vehicle includes a carrier, fixing structure, and fastening element. The carrier is configured to enclose the line and includes a multi-part base body having at least two partial base bodies and an inner region. The partial base bodies are adjustable between a premounted state, whereat the partial base bodies are disengaged from each other, and a mounted state, whereat the partial base bodies are engaged with each other such that the multi-part base body fully annularly encloses the line. The fixing structure is formed on the inner region of the base body and configured, in the mounted state, to fix the carrier axially on the line. The fastening element includes a fastening structure and holder that connects the fastening element to the carrier.

Abstract: An integrated monitoring system for a vehicle including a brake pad wear sensor and a wheel speed sensor. A wheel speed sensor signal line is connected between the wheel speed sensor and an electronic control unit. A wheel speed power line is connected between the wheel speed sensor, the brake pad wear sensor, and the electronic control unit. The electronic control unit is configured to monitor the wheel speed sensor signal line for a signal indicative of a wheel speed and monitors the wheel speed power line for a signal indicative of a brake pad condition.

Abstract: A fastening device for a line in a vehicle includes a carrier, fixing structure, and fastening element. The carrier is configured to enclose the line and includes a multi-part base body having at least two partial base bodies and an inner region. The partial base bodies are adjustable between a premounted state, whereat the partial base bodies are disengaged from each other, and a mounted state, whereat the partial base bodies are engaged with each other such that the multi-part base body fully annularly encloses the line. The fixing structure is formed on the inner region of the base body and configured, in the mounted state, to fix the carrier axially on the line. The fastening element includes a fastening structure and holder that connects the fastening element to the carrier.

Abstract: A clamp device (1) is intended for connecting a tarpaulin (23) to a movable beam assembly (25) in a tarpaulin handling machine. The clamp device (1) has as its clamping member a freely rotatable, eccentric roller (4) adjacent a base member (7), the tarpaulin being inserted between the roller and the base member and held there by the roller.

Abstract: A clamp device (1) is intended for connecting a tarpaulin (23) or the like to a movable beam assembly (25) in a tarpaulin handling machine. The clamp device (1) has as its clamping member a freely rotatable, eccentric roller (4) adjacent a base member (7), the tarpaulin being inserted between the roller and the base member and held there by the roller.