Abstract: A computing device receives a request for a design of an experiment. The device generates a data representation of a matrix Y that defines a supersaturated design for the design of the experiment. The generating the data representation is by: generating a data representation of a matrix X according to an obtained design; computing an indication of correlation between effects of factors of a matrix Y; and generating, based on the indication of correlation, the data representation of the matrix Y that is the transposition of the matrix X or is the transposition of a matrix X*. The matrix X* is a first subset of the matrix X such that the transposition of the matrix X* represents a same number of factors as the transposition of the matrix X. The device outputs a setting for each test condition of the supersaturated design for the experiment.

Abstract: Systems, methods, and storage media for determining the probability of cyber risk-related loss within one or more computing systems composed of computing elements are disclosed. Exemplary implementations may: assess vulnerability by determining an exposure window for a computing element based on the number of discrete times within a given time frame where the computing element is in a vulnerable state; determine a frequency of contact of the computing element with threat actors; normalize the exposure window and the frequency of contact; calculate a threat event frequency by dividing the normalized exposure window by the normalized frequency of contact; and repeat the steps for multiple elements. When combined with liability data that describes the loss magnitude implications of these events, organizations can prioritize the elements based on loss exposure and take action to prevent loss exposure.

Abstract: Embodiments are directed towards managing personal inventory over a network. If item information associated with one or more items is provided to an inventory platform, such that the item information includes at least a location and a label identifier. If a request to transfer the one or more items to an off-premises storage station is provided, one or more scheduling options may be provided to an owner of the one or more items; collection instructions may be provided to a distribution organization, such that the collection instructions may be based on a scheduling option selected by the owner, the location of the one or more items, or the like; and if the one or more items may be transferred to the off-premises storage station, the location of the one or more items may be updated to indicate that they are stored at the off-premises storage station.

Abstract: A connector apparatus for a medical device includes a cylindrical core of nonconductive material, a beam of conductive material, and a sleeve of conductive material. The cylindrical core includes an outside surface, an inside surface, a hollow center having a cross sectional area, and a slot opening in the cylindrical core extending from the outside surface to the inside surface. The beam is placed in the slot opening in the cylindrical core, wherein the beam reduces the cross-sectional area of the hollow center of the cylindrical core. The sleeve of conductive material is placed over the outside surface of the cylindrical core.

Abstract: A computing system generates a subset of design cases of candidate design cases. The system indexes, in the subset, data elements. The system generates a design of an experiment by, for each respective data element, determining a status indicating whether the respective data element corresponds to an uncontrolled factor or a controlled factor. When the status indicates the uncontrolled factor, the system determines if substituting a respective set of specified options of a respective candidate design case comprising the respective data element with a different set of specified options of the candidate design cases improves a criterion measure according to a design criterion. When the status indicates the controlled factor, the system determines if changing an assigned option of the respective data element improves the criterion measure. The system updates the criterion measure with an updated criterion measure according to a change of the subset based on generating the design.

Abstract: A computing system receives a request to validate, according to a validation specification, a response of a system of operation. The validation specification relates to determining deviation from a specified result in response to testing one or more candidate inputs. The initial design space defines design points for the system of operation according to the respective candidate inputs for each factor. The computing system, responsive to the request to validate the response of the system of operation, generates data representing a covering array for design points defined by the initial design space or a subset design space. The computing system generates, based on the data, a test suite for testing the system of operation. The computing system obtains the response of the system of operation and generates an output indicating the deviation from the specified result.

Abstract: Various aspects of the present disclosure are directed toward apparatuses, systems, and methods that may include a connector port subassembly. The connector port subassembly may include one or more connector blocks configured to interference fit within a connector bore, one or more windows through the core subassembly to the one or more connector blocks, and one or more seal rings configured to interference fit within the connector bore and eliminate adulterant entry into the connector bore through the one or more windows.

Abstract: An implantable medical device includes a housing. A first ID tag is secured relative to the housing at a first position and defines a first radiopaque manufacturer code section that visually identifies a manufacturer of the implantable medical device. A second ID tag is secured relative to the housing at a second position that is offset from the first position in at least one dimension. The second ID tag defines a second radiopaque manufacturer code section that also visually identifies the manufacturer of the implantable medical device.

Abstract: A computing system receives a request for a computer-generated design of an experiment. A design space is defined by candidate inputs for each factor of the experiment. The system receives a disallowed combination indication indicating a user-defined disallowed combination for the design space. The disallowed combination constrains a first set of values from a first set of candidate inputs from being assigned to the first factor if the second factor is assigned one of a second set of values from a second set of candidate inputs. The system determines additional constraint(s) on computer generation of the design. The system evaluates if a user-defined model can be generated according to the disallowed combination and the constraint(s). The system generates a computer suggested modification of the user-defined model such that the design can be generated according to the computer suggested modification.

Abstract: A technique for monitoring the quality of objects is disclosed. A container includes a multiple sensors and is configured to receive an object. The sensors monitor various metrics associated with the quality of the object, and a display is affixed to the container for displaying a visual indication of the quality of the object. The visual indication is based on data collected from the sensors. A quality monitoring module is executed by a processor to control the sensors to switch operation between a first mode of operation and a second mode of operation based on a detected change in one of the metrics monitored by the sensors.

Abstract: A computing system receives a request to validate, according to a validation specification, a response of a system of operation. The validation specification relates to determining deviation from a specified result in response to testing one or more candidate inputs. The initial design space defines design points for the system of operation according to the respective candidate inputs for each factor. The computing system, responsive to the request to validate the response of the system of operation, generates data representing a covering array for design points defined by the initial design space or a subset design space. The computing system generates, based on the data, a test suite for testing the system of operation. The computing system obtains the response of the system of operation and generates an output indicating the deviation from the specified result.

Abstract: An apparatus may include a processor caused to: receive indications of selection of an experiment design for regression analysis, of a type of distribution for a simulation of random data in the regression analysis, and of selection of a number of iterations of the simulation of random data; generate executable instructions in a pre-selected programming language to be executable by the processor to perform the regression analysis with the selected number of iterations of simulation of random data and with the selected type of distribution; generate a human readable form of a portion of the first executable instructions that includes the coefficients and terms in mathematical notation, and that specifies the selected number of iterations and the selected type of distribution for the simulation of random data; and present, on a display communicatively coupled to the processor, the human readable form of the portion of the first executable instructions.

Abstract: A computing device receives factor information indicating multiple factors (e.g., hyperparameters for designing a system comprising a machine learning algorithm). The computing device receives range information indicating initial ranges with a range for each of possible options for the multiple factors. The computing device obtains a space-filling design for the design space. The space-filing design indicates selected design points in the design space. Each of the selected design points represents assigned options assigned to the multiple factors. The assigned options are assigned from the initial ranges. The computing device generates, based on the space-filling design, an initial design suite that provides initial design cases corresponding to one or more of the selected design points. The computing device generates evaluations of the initial design cases. The computing device outputs, based on the evaluations of the initial design cases, an indication of a selected design case.

Abstract: Systems, methods, and storage media for determining the impact of failures of information systems within an architecture of information systems are disclosed. Exemplary implementations may: determine a base set of nodes; assign dependency values between pairs of the nodes in the base set; determine an intermediate set of nodes representing information systems in the architecture; assign dependency values between pairs of the nodes in the intermediate set and the nodes in the base set; monitor operating conditions of the information systems; assign an operating condition value to each node base on the operating conditions; and determine an operational status of at least one of the information systems based on operating condition values of nodes corresponding to other information systems and corresponding dependency values. The architecture can accomplish a mission and the a best case outcome of the mission and a worst case outcome of the mission can be determined.

Abstract: A computing device receives a request for a design of an experiment. The device generates a data representation of a matrix Y that defines a supersaturated design for the design of the experiment. The generating the data representation is by: generating a data representation of a matrix X according to an obtained design; computing an indication of correlation between effects of factors of a matrix Y; and generating, based on the indication of correlation, the data representation of the matrix Y that is the transposition of the matrix X or is the transposition of a matrix X*. The matrix X* is a first subset of the matrix X such that the transposition of the matrix X* represents a same number of factors as the transposition of the matrix X. The device outputs a setting for each test condition of the supersaturated design for the experiment.

Abstract: Coating systems for components of a gas turbine engine, such as a compressor case, are provided. The coating system can include a dense layer disposed along the inner surface of the compressor case as well as an abradable, top coat disposed along the dense layer. The combination of dense layer and abradable top coat can reduce the occurrence of galvanic corrosion of the coating system and thereby increase the lifetime of the coating system and preserve blade clearances within the compressor. Methods are also provided for applying the coating system onto a compressor case.

Abstract: A computing device receives a request for a design of an experiment. The design comprises test cases with test conditions for testing factors for the experiment. The device receives a value for a parameter of multiple parameters for the design. The multiple parameters indicate a total number of test cases for the design, a total number of factors for the design, and a total number of groups for grouping factors. The device generates a value for each of one or more other parameters of the multiple parameters such that the design is a supersaturated design. The device generates, based on the first value for the first parameter and the value for each of the one or more other parameters, the supersaturated design for the experiment that is a design that distributes each of the factors into one of the groups. The device outputs an indication of the supersaturated design.

Abstract: Embodiments are directed towards managing personal inventory over a network. If item information associated with one or more items is provided to an inventory platform, such that the item information includes at least a location and a label identifier. If a request to transfer the one or more items to an off-premises storage station is provided, one or more scheduling options may be provided to an owner of the one or more items; collection instructions may be provided to a distribution organization, such that the collection instructions may be based on a scheduling option selected by the owner, the location of the one or more items, or the like; and if the one or more items may be transferred to the off-premises storage station, the location of the one or more items may be updated to indicate that they are stored at the off-premises storage station.

Abstract: A computing device receives data comprising inputs representing a respective option for each of factors in each of test cases. The data comprises a response of the system for each of the test cases. The computing device receives a request requesting an evaluation of the data for generating a model (e.g. a machine learning algorithm) to predict responses based on the factors. The computing device obtains different group identifiers for each of groups for distributing the test cases for the system (e.g., groups of a K-fold cross-validation). The computing device for each of validation(s): generates a data set comprising a respective data element for each of the test cases of the plurality of test cases; and controls assignment of a group identifier of the different group identifiers to each of the respective data elements. The computing device outputs an indication of one or more generated data sets for the validation(s).

Abstract: A vehicle analysis system including one or more weight sensors positioned to determine a weight of a vehicle within a pre-defined geographic location in the vicinity of a location of interest is described. The vehicle analysis system acquires data related to vehicles visiting the location of interest that may be saved in a database to provide further insight into individual's visiting the location of interest.