Abstract: Methods and apparatus are disclosed for building a library of custom named entities for a database environment and using the library for processing natural language search queries. At configuration time, custom named entities are extracted or derived from a search model or the database environment. Records for the custom entities with associated database unique identifiers and tags are stored in a library. Custom entities can be based on labels of database objects, variants thereof, or domain values. At search time, a natural language query is tokenized and matched with custom entities from the library, and with other predefined named entities, to obtained structured search descriptors. For more efficient search, compound entities can be identified in the search string, comprising a custom entity and a value, or a custom entity and another token sequence. Variations and examples are disclosed.

Abstract: Methods and apparatus are disclosed for building a library of custom named entities for a database environment and using the library for processing natural language search queries. At configuration time, custom named entities are extracted or derived from a search model or the database environment. Records for the custom entities with associated database unique identifiers and tags are stored in a library. Custom entities can be based on labels of database objects, variants thereof, or domain values. At search time, a natural language query is tokenized and matched with custom entities from the library, and with other predefined named entities, to obtained structured search descriptors. For more efficient search, compound entities can be identified in the search string, comprising a custom entity and a value, or a custom entity and another token sequence. Variations and examples are disclosed.

Abstract: An embodiment method includes identifying a set of targets within a field of view of a millimeter-wave radar sensor based on radar data received by the millimeter-wave radar sensor; capturing radar data corresponding to the set of targets across a macro-Doppler frame; performing macro-Doppler processing on the macro-Doppler frame and determining whether a macro-Doppler signal is present in the macro-Doppler frame based on the macro-Doppler processing; capturing radar data corresponding to the set of targets across a micro-Doppler frame, wherein the micro-Doppler frame has a duration equal to a first plurality of macro-Doppler frames; performing micro-Doppler processing on the micro-Doppler frame and determining whether a micro-Doppler signal is present in the micro-Doppler frame based on the micro-Doppler processing; and activating at least one range bin of a plurality of range bins in response to a determination that at least one of the macro-Doppler signal or the micro-Doppler signal is present.

Abstract: A device includes: a millimeter-wave radar sensor circuit configured to generate N virtual channels of sensed data, where N is an integer number greater than one; and a processor configured to: generate a 2D radar image of a surface in a field of view of the millimeter-wave radar sensor circuit based on sensed data from the N virtual channels of sensed data, where the 2D radar image includes azimuth and range information, generate a multi-dimensional data structure based on the 2D radar image using a transform function, compare the multi-dimensional data structure with a reference multi-dimensional data structure, and determine whether liquid is present in the field of view of the millimeter-wave radar sensor circuit based on comparing the multi-dimensional data structure with the reference multi-dimensional data structure.

Abstract: A method for determining the range of an object includes transmitting successive radar chirps, adding a frequency offset to the successive radar chirps, the frequency offset being a fraction of a range frequency bin, receiving return signals, constructing frequency transforms from each of the return signals, adding each of the frequency transforms together to create a composite frequency transform, and interpolating the range of the object from a frequency peak detected in the composite frequency transform.

Abstract: A device includes: a millimeter-wave radar sensor circuit configured to generate N virtual channels of sensed data, where N is an integer number greater than one; and a processor configured to: generate a 2D radar image of a surface in a field of view of the millimeter-wave radar sensor circuit based on sensed data from the N virtual channels of sensed data, where the 2D radar image includes azimuth and range information, generate a multi-dimensional data structure based on the 2D radar image using a transform function, compare the multi-dimensional data structure with a reference multi-dimensional data structure, and determine whether liquid is present in the field of view of the millimeter-wave radar sensor circuit based on comparing the multi-dimensional data structure with the reference multi-dimensional data structure.

Abstract: A system and method for modeling cross system content between a hub and one or more backend systems is disclosed. Model content of one or more data models is stored in a model stack defined in a storage. The model content of each data model includes model metadata representing a model of a backend system. Cross model content is stored in a cross model stack. The cross model content includes reference metadata representing one or more references associated with a data model of one backend system and that reference a data model of another backend system. Central cross model content is stored in a central cross model stack. The central cross model content includes one or more cross elements that do not belong to the model content of any of the data models, and that establish a connection between two data models of different backend systems.

Abstract: An embodiment method includes identifying a set of targets within a field of view of a millimeter-wave radar sensor based on radar data received by the millimeter-wave radar sensor; capturing radar data corresponding to the set of targets across a macro-Doppler frame; performing macro-Doppler processing on the macro-Doppler frame and determining whether a macro-Doppler signal is present in the macro-Doppler frame based on the macro-Doppler processing; capturing radar data corresponding to the set of targets across a micro-Doppler frame, wherein the micro-Doppler frame has a duration equal to a first plurality of macro-Doppler frames; performing micro-Doppler processing on the micro-Doppler frame and determining whether a micro-Doppler signal is present in the micro-Doppler frame based on the micro-Doppler processing; and activating at least one range bin of a plurality of range bins in response to a determination that at least one of the macro-Doppler signal or the micro-Doppler signal is present.

Abstract: A method for determining the range of an object includes transmitting successive radar chirps, adding a frequency offset to the successive radar chirps, the frequency offset being a fraction of a range frequency bin, receiving return signals, constructing frequency transforms from each of the return signals, adding each of the frequency transforms together to create a composite frequency transform, and interpolating the range of the object from a frequency peak detected in the composite frequency transform.

Abstract: Systems and methods for compensating for interference in radiofrequency identification (RFID) devices are provided. One system includes an RFID antenna structure having a fixed antenna having a plurality of loops, one or more additional inductive loops and a switching arrangement coupled with the one or more additional inductive loops. The RFID antenna structure further includes a controller configured to control the switching arrangement to selectively switch the one or more additional inductive loops to change an inductance of the fixed antenna.

Abstract: Systems and methods for compensating for interference in radiofrequency identification (RFID) devices are provided. One system includes an RFID antenna structure having a fixed antenna having a plurality of loops, one or more additional inductive loops and a switching arrangement coupled with the one or more additional inductive loops. The RFID antenna structure further includes a controller configured to control the switching arrangement to selectively switch the one or more additional inductive loops to change an inductance of the fixed antenna.

Abstract: A method is disclosed for obtaining dinitrogen monoxide by stepwise reduction of nitrates and/or nitrites from substances containing nitrate and/or nitrite, the reduction reaction being interrupted or limited after the step in which the dinitrogen monoxide is formed and the dinitrogen monoxide produced in the reduction reaction being separated, captured and/or collected.

Abstract: A system and method for handling of cross-system metadata in a system landscape with a hub and backend systems is presented. Reference metadata that is associated with a first backend system and that refers to metadata of a second backend system is stored in a storage associated with the first backend system, the storage further separately storing backend system metadata that is associated only with the first backend system. Connecting metadata, which establishes a connection between backend system metadata associated with the first backend system and backend system metadata of any other backend system, is stored separately. At 206, the first backend system is linked to the hub by the connecting metadata from storage associated with the first backend system to a hub storage associated with the hub. The connecting metadata is activated in the hub to link the first backend system with the second backend system.

Abstract: In a method for obtaining dinitrogen monoxide by microbiological or enzymatic processes from nitrogen-containing substances, the microorganisms, bacteria, archaea, eukaryotes, fungi, parasites, phages, cells, cell fractions or membrane fractions, and/or enzymes, and/or a combination thereof to be used in this context are selected, or manipulated or partly or entirely reversibly and/or irreversibly inhibited by suitable actions, or the corresponding microbiological or enzymatic processes are controlled, for example, by way of suitable process conditions, so that, in part or entirely, dinitrogen monoxide (N2O) is formed from the nitrogen-containing compounds of the nitrogen-containing substances.

Abstract: Example systems and methods of integrating text analysis and search functionality are presented. In one example, a plurality of documents, as well as search information comprising search terms for a search category, are accessed. Each of the documents that include at least one of the search terms is identified. The identified documents are analyzed to determine those of the identified documents that are logically associated with the search category. Each of the documents determined to be logically associated with the search category are tagged with the search category.

Abstract: Example systems and methods of integrating data tags with their associated object data are presented. In one implementation, a data object employed in a first computer application is accessed. Examples of the data object include, but are not limited to, structured data and unstructured data. Tagging data that is descriptive of the first data object is also accessed. The tagging data is stored in at least one of the first data object and a separate data object linked with the first data object. The tagging data and the first data object are processed using a second computer application.

Abstract: A system and method for establishing cross-relationships between objects is presented. A primary search is executed on a first object. A set of tagger identifiers is then determined based on the primary search. Each tagger identifier includes an internal instance key and one or more attributes of a match with the first object related to the primary search, and each tagger identifier of the set of tagger identifiers provides data for a secondary search. The secondary search is then executed on each of a secondary object that is tagged by the first object scanned by the primary search, the secondary search using the internal instance key and one or more attributes of the match with the first object.

Abstract: A system and method for establishing cross-relationships between objects is presented. A primary search is executed on a first object. A set of tagger identifiers is then determined based on the primary search. Each tagger identifier includes an internal instance key and one or more attributes of a match with the first object related to the primary search, and each tagger identifier of the set of tagger identifiers provides data for a secondary search. The secondary search is then executed on each of a secondary object that is tagged by the first object scanned by the primary search, the secondary search using the internal instance key and one or more attributes of the match with the first object.

Abstract: A system and method for modeling cross system content between a hub and one or more backend systems is disclosed. Model content of one or more data models is stored in a model stack defined in a storage. The model content of each of the one or more data models includes model metadata representing a model of a corresponding backend system. Cross model content is stored in a cross model stack defined in the storage. The cross model content includes reference metadata representing one or more references associated with a data model of one backend system and that reference a data model of another backend system. Central cross model content is stored in a central cross model stack in the storage. The central cross model content includes one or more cross elements that do not belong to the model content of any of the one or more data models, and that establish a connection between two data models of different backend systems.

Abstract: A system and method for handling of cross-system metadata in a system landscape with a hub and backend systems is presented. Reference metadata that is associated with a first backend system and that refers to metadata of a second backend system is stored in a storage associated with the first backend system, the storage further separately storing backend system metadata that is associated only with the first backend system. Connecting metadata, which establishes a connection between backend system metadata associated with the first backend system and backend system metadata of any other backend system, is stored separately. At 206, the first backend system is linked to the hub by the connecting metadata from storage associated with the first backend system to a hub storage associated with the hub. The connecting metadata is activated in the hub to link the first backend system with the second backend system.