Abstract: A system and computer-implemented method for a log analytics system that can configure, collect, parse, and analyze log records in an efficient manner. Log records are accessed, each of the log records is associated with a log source. A base parser is identified for parsing a log record based on a type of the log record indicated in the log source. The log record is parsed using the base parser to extract base field values corresponding to base fields. A base-parsed log record is generated on parsing. Sub-parsers are identified using field mappings. The field mappings include base field values mapped to corresponding sub-parsers. The base-parsed log record is parsed using the sub-parsers to extract sub-fields. The sub-fields are merged to the base fields to generate and present an output that includes the parsed log record, the base fields, base field values, the sub-fields and the sub-field values.

Abstract: Techniques are disclosed for aggregating received data from a data stream. Data is received from a particular stream partition to which a device is subscribed, and subsets of the data, from the particular stream partition, are aggregated based on respective keys associated with the subsets of the data. The device determines whether one or more subsets of data, associated with a particular key, meet at least one processing criteria, such as a threshold amount of data, and refraining from processing the aggregated data when the processing criteria is not met. Once additional subset(s) of data associated with the particular key are received, they are aggregated with the one or more subsets of data. When the processing criteria is satisfied, the device processes the aggregated subsets of data associated with the particular key.

Abstract: A computer implemented approach is proposed for computationally establishing joint custodial features to augment functionality of digital data objects recorded on a distributed ledger data structure. A specialized smart contract data object used as an improved digital wallet object is persisted on the distributed ledger data structure which provides a feature interface between a cryptographic wallet controlled directly by an individual, and a set of institutional computing systems and corresponding protocols. The specialized smart contract data object is configured to be a multi-signature joint custody safe data object, the specialized smart contract data object persisted as an interactive data object on a decentralized virtual environment that is configured to automatically execute code consistently and securely across nodes of a decentralized network whose ledger forms a Turing Complete state-machine based computing environment.

Abstract: Existing techniques for automated generation of test data for testing web applications need detailed requirement documents. The present disclosure receives a plurality of textual documents to extract context. Rephrasing the extracted context by implementing a plurality of rules and passing extracted context along with a first set of prompts to Large Language Model (LLM). Generating program, validator and first set of constraints for extracted context and generating test data by running the generated program. Assigning ranking to test data and selecting the test data with highest ranking. Statically refining the generated program by calling a mathematical library function on the highest ranked test data to generate structural information and modifying language of the second set of prompts passed to the LLM. Dynamically refining the generated program by passing feedback generated by executing the highest ranked test data on a web application and refining the response obtained.

Abstract: Techniques are disclosed for partitioning received data for use in a data stream. Data is received during a period of time at a device, such as a data partitioner. The device a) determines that a first subset of the data is for a first system component, b) a second subset of the data is for a second system component, and c) a third subset of the data is for the first system component. Also, determines that a first stream partition is mapped to the first system component and a second stream partition is mapped to the second system component. Based on these determinations, the device assigns the first and third subsets of the data to the first stream partition and the second subset of the data to the second stream partition. Thereafter, the device transmits a stream that includes the first stream partition and the second stream partition.

Abstract: Embodiments relate to extracting various portions of log messages. Syntax, order and/or level information that differentiates header and detail message is identified. This syntax, order and/or level information is used to automatically associate enhance each of one or more detail log entries with information that provides context. This approach can facilitate efficient transmission of detail-information log entries that reduces redundant information, while still supporting flexible approaches for providing information that can enhance detail-information log entries.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: Techniques are disclosed for partitioning received data for use in a data stream. Data is received during a period of time at a device, such as a data partitioner. The device a) determines that a first subset of the data is for a first system component, b) a second subset of the data is for a second system component, and c) a third subset of the data is for the first system component. Also, determines that a first stream partition is mapped to the first system component and a second stream partition is mapped to the second system component. Based on these determinations, the device assigns the first and third subsets of the data to the first stream partition and the second subset of the data to the second stream partition. Thereafter, the device transmits a stream that includes the first stream partition and the second stream partition.

Abstract: Techniques are disclosed for aggregating received data from a data stream. Data is received from a particular stream partition to which a device is subscribed, and subsets of the data, from the particular stream partition, are aggregated based on respective keys associated with the subsets of the data. The device determines whether one or more subsets of data, associated with a particular key, meet at least one processing criteria, such as a threshold amount of data, and refraining from processing the aggregated data when the processing criteria is not met. Once additional subset(s) of data associated with the particular key are received, they are aggregated with the one or more subsets of data. When the processing criteria is satisfied, the device processes the aggregated subsets of data associated with the particular key.

Abstract: A low dropout regulator includes a proportional-to-absolute-temperature (PTAT) circuit, an amplification circuit, and an output circuit. The PTAT circuit outputs one current, and the amplification circuit outputs one or more currents. The one or more currents are outputted by the amplification circuit based on collector-emitter voltages associated with transistors of the PTAT circuit. Alternatively, the one or more currents are outputted by the amplification circuit based on the current outputted by the PTAT circuit and the collector-emitter voltages associated with the transistors of the PTAT circuit. The output circuit generates one or more output voltages based on at least one of a base-emitter voltage associated with a transistor of the PTAT circuit and a current of the one or more currents outputted by the amplification circuit.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: A low dropout regulator includes a proportional-to-absolute-temperature (PTAT) circuit, an amplification circuit, and an output circuit. The PTAT circuit outputs one current, and the amplification circuit outputs one or more currents. The one or more currents are outputted by the amplification circuit based on collector-emitter voltages associated with transistors of the PTAT circuit. Alternatively, the one or more currents are outputted by the amplification circuit based on the current outputted by the PTAT circuit and the collector-emitter voltages associated with the transistors of the PTAT circuit. The output circuit generates one or more output voltages based on at least one of a base-emitter voltage associated with a transistor of the PTAT circuit and a current of the one or more currents outputted by the amplification circuit.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: Disclosed are methods and systems for model-based data transformation.

Abstract: A sub-ranging analog-to-digital converter (ADC) includes a coarse ADC and a fine ADC that receives a set of coarse signals from the coarse ADC. The fine ADC includes multiple digital-to-analog converters (DACs) and multiple converters such that a number of converters is less than a number of DACs. The DACs and the converters function in a partial time-interleaved manner where each DAC receives an analog input signal in different non-overlapping durations of a clock signal and generates a corresponding analog output signal. At least one of the converters is coupled with at least two DACs, and each converter is configured to receive the corresponding analog output signals and perform conversion operation to generate digital signals in non-overlapping durations of the clock signal, respectively. The durations for performing conversion operation of at least two of the converters overlap partially.

Abstract: A pipeline analog-to-digital converter (ADC) includes a hybrid multiplying digital-to-analog converter (MDAC) that includes multiple digital-to-analog converters (DACs), at least one conversion circuit, and at least one amplifier such that a number of conversion circuits and a number of amplifiers is less than a number of DACs. Each DAC is configured to receive an analog input signal in non-overlapping durations of a clock signal and generate a corresponding analog output signal. At least one of the conversion circuits is coupled with at least two DACs, and each conversion circuit is configured to perform conversion operation on a corresponding analog output signal to generate digital signals. At least one of the amplifiers is coupled with at least two DACs, and each amplifier is configured to perform amplification operation on a corresponding analog output signal.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: A pipeline analog-to-digital converter (ADC) includes a hybrid multiplying digital-to-analog converter (MDAC) that includes multiple digital-to-analog converters (DACs), an amplifier, and a conversion circuit. The multiple DACs function in a pipelined manner such that each DAC receives an analog input signal in different cycles of a clock signal and generates a corresponding analog output signal. The amplifier amplifies each analog output signal to generate a corresponding amplified analog signal in different cycles of the clock signal. The conversion circuit successively approximates each analog output signal to generate multiple digital signals. Thus, a digital output signal of the pipeline ADC is generated based on the corresponding amplified analog signal and at least one of the multiple digital signals. The pipeline ADC utilizes one cycle for performing each of sampling, conversion, and amplification operations, which results into low power consumption by the pipeline ADC.

Abstract: A sub-ranging analog-to-digital converter (ADC) converts an analog input signal to a digital output signal. The sub-ranging ADC includes a coarse ADC, a fine ADC, and an error correction circuit (ECC). The fine ADC includes at least three digital-to-analog converters (DACs) that are connected in a pipeline architecture. The coarse and fine ADCs receive the analog input signal in a first half cycle of a clock signal. The coarse ADC converts the analog input signal to a first digital signal in a second half cycle of the clock signal. At least one of the first through third DACs converts the analog input signal to a second digital signal in a full cycle of the clock signal. The ECC receives the first and second digital signals and generates the digital output signal.