A data publishing system includes a design server that stores design data, a publishing server that stores published data, which is associated with the design data, and a browsing terminal. A user uses a keyboard and a mouse that are included in the browsing terminal and selects the design data stored in the design server and the published data stored in the publishing server. An arithmetic processing unit causes a monitor to display whether the selected design data and the selected published data match each other.

A computer-implemented method, computer program product, and system is provided for creating calculated metrics. In an implementation, a method may include providing a user interface including a calculator with a plurality of buttons. The method may also include receiving, via the user interface, a selection of at least one stored metric and a selection of at least one operation, resulting in a new metric. The method may further include storing the new metric with a new metric name.

A computer-implemented method, computer program product, and system is provided for creating calculated metrics. In an implementation, a method may include providing a user interface including a calculator with a plurality of buttons. The method may also include receiving, via the user interface, a selection of at least one stored metric and a selection of at least one operation, resulting in a new metric. The method may further include storing the new metric with a new metric name.

A model generation device for life prediction includes: an actual operation information generation unit that generates actual operation information indicating a relationship between a use time and a reliability of an object whose life is predicted, based on failure history information of the object by using an order-statistic calculation method; a probability distribution model generation unit that sets a number of division by which the use time is divided into periods, and then generates a probability distribution model that approximates the actual operation information for each of the periods obtained by dividing the use time; a calculation unit that calculates a goodness of fit of the probability distribution model to the actual operation information for each of the number of division by using an information criterion; and a determination unit that determines the probability distribution model at the number of division providing the highest goodness of fit.

A system for determine presence or quality of an external timing device is provided. The system may include a circuit (e.g., in a field-programmable gate array (FPGA)) having an input, an oscillator, an edge detector, a bit counter, and a calculator element. In some examples, the input may receive an input signal under test. The oscillator may advance a timer at a known rate to facilitate generation of clock samples for the input signal under test. The edge detector may measure edges of the input signal under test based on the clock samples. The circuit may include at least one bit counter to store a count associated with the measured edges for a shorter interval timer period and a longer interval timer period. The calculator element may determine presence or quality of an external timing device based on the count.

Examples of the present disclosure provide apparatuses and methods for determining a vector population count in a memory. An example method comprises determining, using sensing circuitry, a vector population count of a number of fixed length elements of a vector stored in a memory array.

Examples of the present disclosure provide apparatuses and methods for determining a vector population count in a memory. An example method comprises determining, using sensing circuitry, a vector population count of a number of fixed length elements of a vector stored in a memory array.

Computationally efficient mixed precision floating point waveform generation takes advantage of the high-speed generation of waveforms with single-precision floating point numbers while reducing the generally unacceptable loss of precision of pure single-precision floating point to generate any waveform that repeats in 2. This approaches computes a reference phase in double precision as the modulus of the phase with 2 and then computes offsets to that value in single precision. The double precision reference phase is recomputed as needed depending on how quickly the phase grows and how large a machine epsilon is desired.

Computationally efficient mixed precision floating point waveform generation takes advantage of the high-speed generation of waveforms with single-precision floating point numbers while reducing the generally unacceptable loss of precision of pure single-precision floating point to generate any waveform that repeats in 2. This approaches computes a reference phase in double precision as the modulus of the phase with 2 and then computes offsets to that value in single precision. The double precision reference phase is recomputed as needed depending on how quickly the phase grows and how large a machine epsilon is desired.

Electronic design automation modules for simulate the behavior of structures and materials at multiple simulation scales with different simulation modules.