Abstract: An automated test generation system includes a processing system and a memory system in communication with the processing system. The memory system stores instructions of an automated test generator that when executed result in parsing a test input sheet to identify one or more inputs, outputs, and expressions that define software requirements in a logical form with respect to the inputs, accessing a data dictionary to determine limits of the inputs, applying test case generation rules to produce test cases to test whether a software configuration item under test meets the software requirements, and applying test script generation rules to produce test scripts that implement the test cases by setting values of the inputs to the software configuration item under test based on the limits and the expressions to verify the outputs.

Abstract: A radar system applies various angle correction processes with varying levels of computational overhead to reduce errors in angle estimation when processing received return signals. The various angle correction processes aim to overcome systematic errors affected by range migration through correction based on simulation or hardware measurements, through non-iterative refinement, iterative refinement, and/or a combination of correction and iterative refinement.

Abstract: Mismatch detection using periodic structures is provided. Embodiments described herein can measure and detect mismatch between two loads in a radio frequency (RF) system without the need for external calibration by referencing their measurements into a small set of parameters that are intrinsic to the RF system design. This approach can be used to compare impedances of two loads and measure their impedances relative to each other without requiring any external calibration (e.g., the approach does not assume any prior known physical quantities in the system, such as a reference impedance). This approach can be used to compare the two loads to each other, as well as to quantify the amount of mismatch between these loads by calculating reflection coefficient between the loads. Loads can be passive devices, such as antennas, or they can be active devices, such as amplifiers.

Abstract: One embodiment provides a method, the method including: obtaining patient information for at least one patient, wherein the patient information identifies an identifier of the at least one patient; identifying, based upon the patient information, at least one procedure to be performed for the patient at the healthcare facility; identifying a plurality of events corresponding to the at least one procedure and locations within the healthcare facility for at least a subset of the plurality of events; identifying at least one healthcare professional associated with at least one of the plurality of events; and automatically generating a schedule for the healthcare facility based upon the plurality of events and the at least one healthcare professional. Other aspects are described and claimed.

Abstract: A radar system applies various angle correction processes with varying levels of computational overhead to reduce errors in angle estimation when processing received return signals. The various angle correction processes aim to overcome systematic errors affected by range migration through correction based on simulation or hardware measurements, through non-iterative refinement, iterative refinement, and/or a combination of correction and iterative refinement.

Abstract: An apparatus comprises a processing device configured to monitor development of a plurality of software applications, to identify a first one of the plurality of software applications that has a given version ready for deployment to a production environment of an information technology infrastructure, and to determine at least one dependency between the given version of the first one of the plurality of software applications and a given version of at least a second one of the plurality of software applications. The processing device is further configured to control deployment of the given version of the first one of the plurality of software applications in the production environment of the information technology infrastructure based at least in part on evaluating a deployment status of the given version of the second one of the plurality of software applications.

Abstract: Mismatch detection using periodic structures is provided. Embodiments described herein can measure and detect mismatch between two loads in a radio frequency (RF) system without the need for external calibration by referencing their measurements into a small set of parameters that are intrinsic to the RF system design. This approach can be used to compare impedances of two loads and measure their impedances relative to each other without requiring any external calibration (e.g., the approach does not assume any prior known physical quantities in the system, such as a reference impedance). This approach can be used to compare the two loads to each other, as well as to quantify the amount of mismatch between these loads by calculating reflection coefficient between the loads. Loads can be passive devices, such as antennas, or they can be active devices, such as amplifiers.

Abstract: An apparatus comprises a processing device configured to monitor development of a plurality of software applications, to identify a first one of the plurality of software applications that has a given version ready for deployment to a production environment of an information technology infrastructure, and to determine at least one dependency between the given version of the first one of the plurality of software applications and a given version of at least a second one of the plurality of software applications. The processing device is further configured to control deployment of the given version of the first one of the plurality of software applications in the production environment of the information technology infrastructure based at least in part on evaluating a deployment status of the given version of the second one of the plurality of software applications.

Abstract: A system includes a power manager, where the power manager includes a direct current (DC) to DC converter. The DC to DC converter includes a first driver configured to provide a voltage at a first power level. The DC to DC converter also includes a second driver configured to provide the voltage at a second power level, where the second power level is lower than the first power level. The system also includes a radar sensor configured to receive the voltage. The system further includes a controller configured to instruct the power manager to switch between the first driver and the second driver based at least in part on an activity level of the radar sensor.

Abstract: A fitting for use in a manifold or other tubular assembly includes a core and at least one tubular coupling sleeve slidably and sealingly fitted over a distal end of the core to accommodate predetermined tolerances in the relative positions of fluid ports connected with the tubular assembly. Features are provided to limit the range of motion to the predetermined tolerances and to prevent disassembly of the coupling sleeve from the core of the fitting.

Abstract: A method is provided, comprising: deploying source code to a non-production instance of a software application; executing one or more tests on the non-production instance of the software application and logging any events that are generated during the tests in one or more test logs; retrieving data from the one or more test logs and calculating a stability index for the source code based on the data that is retrieved from the one or more test logs; and deploying the source code to a production-instance of the software application based on the stability index of the source code.

Abstract: A method is provided, comprising: deploying source code to a non-production instance of a software application; executing one or more tests on the non-production instance of the software application and logging any events that are generated during the tests in one or more test logs; retrieving data from the one or more test logs and calculating a stability index for the source code based on the data that is retrieved from the one or more test logs; and deploying the source code to a production-instance of the software application based on the stability index of the source code.

Abstract: Gathering and verifying customer information via SMS and in-person representatives. A hash is received with customer account information from a business correspondent application, wherein the account information is given in-person to a business correspondent, the business correspondent enters the account information into the business correspondent app, the account information is verified by the business correspondent after entering the account information in the business correspondent app, and the hash is generated by the business correspondent app after the business correspondent app receives confirmation of verification of the account information from the business correspondent. An account number is generated for the customer. The account number is sent to the business correspondent app and to the customer. An enrollment PIN is sent to the customer, wherein the enrollment PIN is linked to the account number.

Abstract: Gathering and verifying customer information via SMS and in-person representatives. Customer account information is received, wherein the customer account information is given to a business correspondent by a customer. A verification of the customer account information is received, wherein the verification is performed by the business correspondent. A hash is generated with the customer account information. The hash is sent to a data center. An account number is received from the data center. An enrollment PIN is received, wherein the enrollment PIN is sent from the data center to the customer, the customer gives the enrollment PIN to the business correspondent, and the business correspondent enters the enrollment PIN into the business correspondent app, and wherein the enrollment PIN is linked to the account number. The data center is synced after receiving the enrollment PIN.

Abstract: Performance of a virtual machine system is improved by avoiding and/or eliminating bottlenecks in read and write operations. The system analyzes current virtualized workloads and provides working set estimates for individual VMs, hosts, and clusters. The working set estimate data is then utilized to make specific recommendations for different types of backend storage technologies. After procuring a storage device, the system provides a variety of information to aid in the operation of the system. From this information, the system can detect various scenarios and proactively make recommendations to the user about ways in which to improve storage performance at a host level and at a per-VM level. In some embodiments, these recommendations may be implemented automatically without user involvement.

Abstract: Gathering and verifying customer information via SMS and in-person representatives. Customer account information is received, wherein the customer account information is given to a business correspondent by a customer. A verification of the customer account information is received, wherein the verification is performed by the business correspondent. A hash is generated with the customer account information. The hash is sent to a data center. An account number is received from the data center. An enrollment PIN is received, wherein the enrollment PIN is sent from the data center to the customer, the customer gives the enrollment PIN to the business correspondent, and the business correspondent enters the enrollment PIN into the business correspondent app, and wherein the enrollment PIN is linked to the account number. The data center is synced after receiving the enrollment PIN.

Abstract: Gathering and verifying customer information via SMS and in-person representatives. A hash is received with customer account information from a business correspondent application, wherein the account information is given in-person to a business correspondent, the business correspondent enters the account information into the business correspondent app, the account information is verified by the business correspondent after entering the account information in the business correspondent app, and the hash is generated by the business correspondent app after the business correspondent app receives confirmation of verification of the account information from the business correspondent. An account number is generated for the customer. The account number is sent to the business correspondent app and to the customer. An enrollment PIN is sent to the customer, wherein the enrollment PIN is linked to the account number.

Abstract: A method for gathering and verifying customer information via SMS and in-person representatives are provided. The method may include a business correspondent receiving and verifying customer information in-person; sending the customer information to a data center, via a business correspondent application (BC app), to create a customer account; sending the account information to the customer and the BC app; verifying the account information with the customer; and syncing the BC app with the data center.

Abstract: A Frequency Modulated Continuous Wave (FMCW) radar system is provided that includes a chirp profile storage component configured to store a chirp profile for each chirp of a frame of chirps and a timing engine coupled to the chirp profile storage component to receive each chirp profile in transmission order during transmission of the frame of chirps, in which the timing engine uses each chirp profile to configure a corresponding chirp.

Abstract: A method for gathering and verifying customer information via SMS and in-person representatives are provided. The method may include a business correspondent receiving and verifying customer information in-person; sending the customer information to a data center, via a business correspondent application (BC app), to create a customer account; sending the account information to the customer and the BC app; verifying the account information with the customer; and syncing the BC app with the data center.