Abstract: The present disclosure generally relates to user interfaces for electronic audio devices. In some examples, the operating mode of the device changes to various states of sound transparency.

Abstract: Cable protectors and related methods are provided for protecting cables while being positioned between raised floor panels. The cable protector has a base portion having at least one receptacle channel configured to receive a cable, wherein the at least one receptacle channel is positioned between a first side ridge and a second side ridge that each extend vertically to different heights relative to the at least one receptacle channel. The cable protector also has a cover panel mounted to the base portion and supported by the first and second side ridges. The cover panel covers the at least one receptacle channel at a non-orthogonal angle with respect to the vertical direction. Other cable protectors disclosed have a modular design or a feature for connection to adjacent floor panels having differing heights or interlocking designs.

Abstract: Cable protectors and related methods are provided for protecting cables while being positioned between raised floor panels. The cable protector has a base portion having at least one receptacle channel configured to receive a cable, wherein the at least one receptacle channel is positioned between a first side ridge and a second side ridge that each extend vertically to different heights relative to the at least one receptacle channel. The cable protector also has a cover panel mounted to the base portion and supported by the first and second side ridges. The cover panel covers the at least one receptacle channel at a non-orthogonal angle with respect to the vertical direction. Other cable protectors disclosed have a modular design or a feature for connection to adjacent floor panels having differing heights or interlocking designs.

Abstract: A cable protector includes a base member, at least one channel, and at least one connector. The at least one channel extend between opposing first and second ends of the base member and is structured to house at least one cable. The at least one connector extends from a first end of the cable protector and includes a hand grip feature. The hand grip feature of the at least one connector may include a plurality of recesses or protrusions formed in a side surface of the at least one connector. The cable protector may also include at least one connector recess that includes a hand grip feature. The hand grip feature of the at least one connector recess may include a plurality of recesses or protrusions formed in a side surface of the at least one connector recess.

Abstract: A cable protector includes a base member, at least one channel, and at least one connector. The at least one channel extend between opposing first and second ends of the base member and is structured to house at least one cable. The at least one connector extends from a first end of the cable protector and includes a hand grip feature. The hand grip feature of the at least one connector may include a plurality of recesses or protrusions formed in a side surface of the at least one connector. The cable protector may also include at least one connector recess that includes a hand grip feature. The hand grip feature of the at least one connector recess may include a plurality of recesses or protrusions formed in a side surface of the at least one connector recess.

Abstract: A cable protector includes a base member, at least one channel, and a lid. The at least one channel extends between opposing first and second ends of the base member and is structured to house at least one cable. The lid is mounted to the base member to cover the at least one channel and is releasably secured to the base member with at least one snap-fit connection.

Abstract: A method for conversational computing includes executing code embodying a conversational virtual machine, registering a plurality of input/output resources with a conversational kernel, providing an interface between a plurality of active applications and the conversational kernel processing input/output data, receiving input queries and input events of a multi-modal dialog across a plurality of user interface modalities of the plurality of active applications, generating output messages and output events of the multi-modal dialog in connection with the plurality of active applications, managing, by the conversational kernel, a context stack associated with the plurality of active applications and the multi-modal dialog to transform the input queries into application calls for the plurality of active applications and convert the output messages into speech, wherein the context stack accumulates a context of each of the plurality of active applications.

Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) 10 across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel 14 controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18).

Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) 10 across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel 14 controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18).

Abstract: A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user's interaction with the system. The search space of the translation process may be reduced when some context information is available. A user presents input to the natural language understanding system. The system translates the user input into a formal command and calculates a weight value for a next set of formal commands based on the formal command. The command weights may then be dynamically boosted for the next set of formal commands before executing the formal command. The exemplary aspects of the present invention reduce the time needed to complete a task since the search space of the translation process may be reduced if context information is available and improve the accuracy of the process by using knowledge that users regularly use repeating patterns for repeating tasks.

Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) 10 across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel 14 controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18).

Abstract: A conversational computing system that provides a universal coordinated multi-modal conversational user interface (CUI) (10) across a plurality of conversationally aware applications (11) (i.e., applications that “speak” conversational protocols) and conventional applications (12). The conversationally aware maps, applications (11) communicate with a conversational kernel (14) via conversational application APIs (13). The conversational kernel (14) controls the dialog across applications and devices (local and networked) on the basis of their registered conversational capabilities and requirements and provides a unified conversational user interface and conversational services and behaviors. The conversational computing system may be built on top of a conventional operating system and APIs (15) and conventional device hardware (16). The conversational kernel (14) handles all I/O processing and controls conversational engines (18).

Abstract: A system and method for recognizing commands in natural language includes a speech recognizer for decoding language and semantic information in utterances provided by a user. A dialog manager provides a hierarchical ordering of handlers, each handler being trained to be responsive to decoded utterances. The dialog manager manages arbitration between the handlers to determine a winning handler for an utterance and decodes the command in accordance with the winning handler.

Abstract: A method and system for dynamically assigning weights to the subset of commands in a natural language dialog system based on prior context of the user's interaction with the system. The search space of the translation process may be reduced when some context information is available. A user presents input to the natural language understanding system. The system translates the user input into a formal command and calculates a weight value for a next set of formal commands based on the formal command. The command weights may then be dynamically boosted for the next set of formal commands before executing the formal command. The exemplary aspects of the present invention reduce the time needed to complete a task since the search space of the translation process may be reduced if context information is available and improve the accuracy of the process by using knowledge that users regularly use repeating patterns for repeating tasks.

Abstract: The present invention generally provides a leak detector having at least two partial pressure analyzers. The leak detector comprises a pumping system, a trace gas detector, and a residual gas analyzer. The leak detector is attachable to a test object, such as a vacuum system, and the pumping system operates to draw a vacuum therein. The residual gas analyzer determines the presence of oxygen, nitrogen, and other components of air in the test object. A trace gas, such as helium, provided to the exterior of the test system is monitored by the trace gas detector which may be a magnetic sector mass spectrometer. The residual gas analyzer and the trace gas detector may be operated simultaneously or independently.