Abstract: The present invention relates to a method of reducing blind decoding attempts by a User Equipment (UE) in a telecommunication network. The method comprises configuring a Search Space (SS) configuration to the UE. A Base Station (BS) signals one of a subset of Aggregation Levels (ALs) to be monitored based on channel quality of the UE and an associated time period, and a value of multiplication factor (k) and an associated time period. The UE iteratively monitors a Physical Downlink Control Channel (PDCCH) on the ALs signalled by the BS till the UE stops receiving a new configuration. The UE performs one of adopting an original configuration, requesting the BS for a new configuration, utilizing a default configuration or utilizing an original configuration.

Abstract: The present invention relates to a method of reducing blind decoding attempts by a User Equipment (UE) in a telecommunication network. The method comprises configuring a Search Space (SS) configuration to the UE. A Base Station (BS) signals one of a subset of Aggregation Levels (ALs) to be monitored based on channel quality of the UE and an associated time period, and a value of multiplication factor (k) and an associated time period. The UE iteratively monitors a Physical Downlink Control Channel (PDCCH) on the ALs signalled by the BS till the UE stops receiving a new configuration. The UE performs one of adopting an original configuration, requesting the BS for a new configuration, utilizing a default configuration or utilizing an original configuration.

Abstract: Systems and methods are described herein for providing network and protocol architectures to achieve efficient high speed data services in an integrated terrestrial-non-terrestrial network (iTNTN). The iTNTN can include at least a non-geostationary orbit (NGSO) satellite system and terrestrial radio access and core network infrastructures based on cellular standards (e.g., 5G). Embodiments specially configure packet-based routing and dynamic cell-CU-DU (cell to centralized unit to distributed unit) association to accommodate dynamically changing LEO satellite locations and other iTNTN characteristics. These and other configurations are used to enable features, including end-to-end IP data and Layer 2 data services, integrated LEO-GEO (low-Earth orbit and geosynchronous Earth orbit) and LEO-MEO (low-Earth orbit and medium-Earth orbit) services, direct UT-UT (user terminal to user terminal) services, and resource efficient multicast services.

Abstract: Systems and methods are described herein for providing network and protocol architectures to achieve efficient high speed data services in an integrated terrestrial-non-terrestrial network (iTNTN). The iTNTN can include at least a non-geostationary orbit (NGSO) satellite system and terrestrial radio access and core network infrastructures based on cellular standards (e.g., 5G). Embodiments specially configure packet-based routing and dynamic cell-CU-DU (cell to centralized unit to distributed unit) association to accommodate dynamically changing LEO satellite locations and other iTNTN characteristics. These and other configurations are used to enable features, including end-to-end IP data and Layer 2 data services, integrated LEO-GEO (low-Earth orbit and geosynchronous Earth orbit) and LEO-MEO (low-Earth orbit and medium-Earth orbit) services, direct UT-UT (user terminal to user terminal) services, and resource efficient multicast services.

Abstract: The present invention relates to a method of reducing blind decoding attempts by a User Equipment (UE) in a telecommunication network. The method comprises configuring a Search Space (SS) configuration to the UE. A Base Station (BS) signals one of a subset of Aggregation Levels (ALs) to be monitored based on channel quality of the UE and an associated time period, and a value of multiplication factor (k) and an associated time period. The UE iteratively monitors a Physical Downlink Control Channel (PDCCH) on the ALs signalled by the BS till the UE stops receiving a new configuration. The UE performs one of adopting an original configuration, requesting the BS for a new configuration, utilizing a default configuration or utilizing an original configuration.

Abstract: A system, method, and computer-readable medium for performing a data center monitoring and management operation. The data center monitoring and management operation includes: receiving data center data; identifying unprotected sensitive data center data contained within the data center data; classifying the sensitive data center data contained within the data center data according to a sensitivity based classification; and, remediating the sensitive data center asset data according to the sensitivity based classification of the sensitive data center data.

Abstract: Embodiments of the present invention provide a method and an IAB node for achieving timing alignment in an IAB network system. The method includes receiving, by the IAB node, at least one resource configuration and at least one parameter, wherein the at least one parameter comprises timing advance, timing advance offset, and timing error. The IAB node then determines timing for operation based on the received parameters. The timing may include UL transmission timing at a MT of the IAB node, DL transmission timing at a DU of the IAB node, and UL reception timing at the DU of the IAB node. Further, the IAB node performs an operation in at least one resource based on the resource configuration and the determined timing. This proposed invention ensures precise timing alignment for efficient communication within the IAB network system.

Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.

Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.

Abstract: Techniques are disclosed that enable the generation of candidate endorsements for recommended items of content using an ensemble of nominators. Various implementations include each nominator in the ensemble providing a candidate endorsement for each recommended item of content. Additionally or alternatively, an endorsement is selected to present to the user based on a score determined for each candidate endorsement.

Abstract: In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system.

Abstract: Presenting natural-language-understanding (NLU) results can include redundancies and awkward sentence structures. In an embodiment of the present invention, a method includes, responsive to receiving a result to a NLU query, loading a matching template of a plurality of templates stored in a memory. Each template has mask fields associated with at least one property. The method compares the properties of the mask fields of each of the templates to properties of the query and properties of the result, and selects the matching template. The method further completes the matching template by inserting fields of the result into corresponding mask fields of the matching template. The method may further suppress certain mask fields of the matching template to increase brevity and improve the naturalness of the response when appropriate based on the results of the NLU query. The method further presents the completed matching template to a user via a display.

Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.

Abstract: A method includes, with a physical computing system, executing a navigational application for a printer interface of a printer connected to the physical computing system through a network, with the physical computing system, using a content model for the navigational application, the content model defining attributes and a category for a screen. The method further includes, with the physical computing system, receiving content associated with the category, and with the physical computing system, providing to the printer the screen and the content in a format that is executable by the printer.

Abstract: Presenting natural-language-understanding (NLU) results can include redundancies and awkward sentence structures. In an embodiment of the present invention, a method includes, responsive to receiving a result to a NLU query, loading a matching template of a plurality of templates stored in a memory. Each template has mask fields associated with at least one property. The method compares the properties of the mask fields of each of the templates to properties of the query and properties of the result, and selects the matching template. The method further completes the matching template by inserting fields of the result into corresponding mask fields of the matching template. The method may further suppress certain mask fields of the matching template to increase brevity and improve the naturalness of the response when appropriate based on the results of the NLU query. The method further presents the completed matching template to a user via a display.

Abstract: In some natural language understanding (NLU) applications, results may not be tailored to the user's query. In an embodiment of the present invention, a method includes tagging elements of automated speech recognition (ASR) data based on an ontology stored in a memory. The method further includes indexing tagged elements to an entity of the ontology. The method further includes generating a logical form of the ASR data based on the tagged elements and the indexed entities. The method further includes mapping the logical form to a query to a respective corresponding database stored in the memory. The method further includes issuing the query to the respective corresponding databases. The method further includes presenting results of the query to the user via a display or a voice response system.

Abstract: One or more embodiments of techniques or systems for modeling familiarity for a traveler are provided herein. Familiarity evidence can be received, indicative of how familiar a traveler is with an area or road segment, and based on a number of visits the traveler has made to that area. The familiarity evidence can be used to generate one or more familiarity models indicative of a predicted familiarity of locations around the area. Familiarity models can be based on kernels, graph distances, Markov random fields (MRFs), etc. When route directions are generated from an origin location to a destination location, one or more of the directions can be provided based on one or more of the familiarity models. For example, if a familiarity model indicates that a traveler is familiar with a route, driving directions of the route can be adapted to be more succinct.

Abstract: A method is provided for representing and updating the state of a dialog involving a series of queries and commands to an artificial intelligence system. Each statement within the dialogue may be modeled as a relational tree spanning nodes corresponding to named entities within the statement. A data structure may be used to store each of these trees and to modify them as the dialog progresses. A subsequent statement in the dialog may be parsed and its contents used to update an ongoing search initiated within that dialog. Statements may be used for the update process despite being fragmentary or not corresponding to any predetermined grammar. An algorithm is disclosed for updating the trees within the data structure after a new statement is parsed.

Abstract: An utterance is received from a user specifying a location attribute and a landmark. A set of candidate locations is identified based on the specified location attribute, and a confidence score can be determined for each candidate location. A set of landmarks is identified based on the specified landmark, and confidence scores can be determined for the landmarks. An associated kernel model is generated for each landmark. Each kernel model is centered at the location of the associated landmark on a map, and the amplitude of the kernel model can be based on landmark attributes, landmark confidence scores, characteristics of the user, and the like. The candidate locations are ranked based on the amplitudes of overlapping kernel models at the candidate locations, and can also be ranked based on confidence scores associated with the candidate locations. A candidate location is selected and presented to the user based on the candidate location ranking.

Abstract: A powertrain of a hybrid electric vehicle (HEV) is controlled. A first value ?1 and a second value ?2 are determined. ?1 represents a proportion of an instantaneous power requirement (Preq) supplied by an engine of the HEV. ?2 controls a recharging rate of a battery of the HEV. A determination is performed, based on ?1 and ?2, regarding how much engine power to use (Peng) and how much battery power to use (Pbatt). Peng and Pbatt are sent to the powertrain.