Abstract: Methods of printing a 3D object comprising depositing a building material, layer by layer, via printing heads comprising one or more nozzle arrays; and activating each of said printing heads to dispense a building material at least once within a specified period of time during printing to form a portion of said bulk region according to data provided by a CAD file, and activating said printing heads to deposit the building material to form another portion of the bulk region without relating to said data.

Abstract: A method, including accessing a source database including records stored in tables organized in a hierarchy defining respective parent and dependent tables of the tables in the source database and containing respective parent and dependent records of the records, each record including one or more attributes having respective values. A selection is received for at least a first table and one or more second tables that are related to the first table by being parent tables or dependent tables of the first table. A filtering request is received that includes, for a given attribute having one or more distinct values, a limiting number of records to select having each of the distinct values. The request is applied to select a subset of the records in the one of the tables. A target database is generated including the subset and the records that are related to the records in the subset.

Abstract: A method, including accessing a source database including records stored in tables, which are organized in a hierarchy defining respective parents and dependents of the tables, containing respective parent and dependent records, the records including attribute values. Upon presenting a first list of the tables, an input is received selecting a first table. Upon presenting a second list of the tables related to the first table, an input is received selecting a second table in the second list. Upon presenting filtering criteria for the selected tables, a filtering request is received for a given selected table. The request is applied to the given selected table to select a subset of the records in the given selected table and to generate a target database including the subset of the records and the records in the set that are the respective directly related records of the records in the subset.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: A method, including accessing a source database including records stored in tables, which are organized in a hierarchy defining respective parents and dependents of the tables, containing respective parent and dependent records, the records including attribute values. Upon presenting a first list of the tables, an input is received selecting a first table. Upon presenting a second list of the tables related to the first table, an input is received selecting a second table in the second list. Upon presenting filtering criteria for the selected tables, a filtering request is received for a given selected table. The request is applied to the given selected table to select a subset of the records in the given selected table and to generate a target database including the subset of the records and the records in the set that are the respective directly related records of the records in the subset.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: In an example, a method includes selecting a unique identifier corresponding to a set of rules. At least one modified image is generated from a seed image using a processor by determining and applying an image attribute modification to the seed image according to at least one rule in the set of rules of the unique identifier. The modified image is placed in a predefined position according to at least one rule in the set of rules of the unique identifier.

Abstract: An embodiment features a method of generating test data. An application-level schema corresponding to a source relational database is received. The schema defines constraints comprising one or more of inter-field, inter-record, and inter-object constraints between related data in the source relational database. A random walk is performed on a graph of nodes representing data in the source relational database. At respective ones of the nodes, corresponding ones of the data in the source relational database are selected along a path ordered in accordance with the constraints defined in the schema. Synthetic test data is generated based on one or more statistical models of the data selected from the source relational database. Data values are generated for respective fields of an object defined in the schema, and data values are generated for records related to the object based on one or more of the constraints defined in the schema.

Abstract: Information management systems and methods archive and back up data from one or more primary storage devices to one or more secondary storage devices are described. More specifically, systems, methods, and computer program instructions are provided for efficiently transferring relational database data from one or more primary storage devices to one or more secondary storage devices for archival and backup purposes.

Abstract: Information management systems and methods archive and back up data from one or more primary storage devices to one or more secondary storage devices are described. More specifically, systems, methods, and computer program instructions are provided for efficiently transferring relational database data from one or more primary storage devices to one or more secondary storage devices for archival and backup purposes.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods and devices according to this invention include a plurality of defined modification rules for modifying a sequence of packets that form an attack on an intrusion detection system. These modification rules include both rules that expand the number of packets and rules that reduce the number of packets. The reducing rules can be applied to a given attack instance to identify one or more root attack instances. The expanding rules can then be applied to each root attack instance to generate a corpus of modified attack instances. The modification rules can preserve the semantics of the attack, so that any modified attack instance generated from the given attack instance remains a true attack. To test an intrusion detection system, the corpus of modified attack instances can be used to determine whether an intrusion detection system detects every modified attack instance.

Abstract: Systems, methods, and computer program products are described for controlling malicious activity detection with respect to information technology assets based on behavioral models associated with the respective information technology assets. Protection rules and corresponding sensitivities associated with the behavioral models are applied by protection services to detect malicious activity with respect to the information technology assets.

Abstract: Systems, methods and devices according to this invention include a plurality of defined modification rules for modifying a sequence of packets that form an attack on an intrusion detection system. These modification rules include both rules that expand the number of packets and rules that reduce the number of packets. The reducing rules can be applied to a given attack instance to identify one or more root attack instances. The expanding rules can then be applied to each root attack instance to generate a corpus of modified attack instances. The modification rules can preserve the semantics of the attack, so that any modified attack instance generated from the given attack instance remains a true attack. To test an intrusion detection system, the corpus of modified attack instances can be used to determine whether an intrusion detection system detects every modified attack instance.

Abstract: A method for functional verification of a design for a parallel processing device includes receiving a sequence of single instructions from a dynamic test program generator, and assembling a plurality of the instructions from the sequence into an instruction word, in accordance with predetermined rules applicable to the parallel processing device. The instruction word is input to a simulator of the parallel processing device so as to determine a response of the device to the instruction word.