103 results about "Identifying Variable" patented technology

A versatile covering process enabled through the identification and manipulation of a plurality of variables present in the electrospinning method of the present invention. By manipulating and controlling various identified variables, it is possible to use electrospinning to predictably produce thin materials having desirable characteristics. The fibers created by the electrospinning process have diameters averaging less than 100 micrometers. Proper manipulation of the identified variables ensures that these fibers are still wet upon contacting a target surface, thereby adhering with each other to form a cloth-like material and, if desired, adhering to the target surface to form a covering thereon. The extremely small size of these fibers, and the resulting interstices therebetween, provides an effective vehicle for drug and radiation delivery, and forms an effective membrane for use in fuel cells.

Sensors are configured to repeatedly monitor variables of a physical system during its operation. A novelty detection system is responsive to the sensors and is configured to repeatedly observe into an associative memory, states of associations among the variables that are repeatedly monitored, during a learning phase. The novelty detection system is further configured to thereafter observe at least one state of associations among the variables that are sensed relative to the states of associations that are in the associative memory, to identify a novel state of associations among the variables. The novelty detection system may determine whether the novel state is indicative of normal operation or of a potential abnormal operation. Multiple layers of learning for real-time diagnostics / prognostics also may be provided.

Computerized methods for translating semantic models and rules into procedural code are described. The methods identify variables present in triples in both the rule conclusion and premise along with properties of the triples that identify a procedural function to incorporate procedural code generated in lieu of the semantic rule. The method further determines if the premise triples comprising variables that are subjects of conclusion triples are “type” statements. Additionally, the domain of the property of the triples in the rule premise and / or conclusion that are not “type” statements but bind the subject variables are also determined. The procedural function is then associated with procedural classes translated from the intersection of semantic classes identified by the premise triples determined to be “type” statements and the classes identified as the domain of the conclusion or premise triples that comprise the subject variables but are not “type” statements. Further, the procedural function is updated in the associated procedural classes with the semantic rule computation determined using premise elements that compute values of object variables in the conclusion triples.

Methods and apparatus are provided for non-deterministic incremental program replay using checkpoints and syndrome tracking. Replay of a program proceeds by, for a given execution of the program, recording one or more checkpoints of the program, the one or more checkpoints containing program state information; and a recorded list of values for one or more identified variables executing in one or more threads of the program. Thereafter, during a replay execution of the program, the process continues by commencing execution from a particular one of the recorded checkpoints; restoring the program state information associated with the particular one of the recorded checkpoints; comparing an observed list of values to the recorded list of values for the one or more identified variables executing in each of the one or more threads; and identifying a difference between the observed list of values and the recorded list of values A perturbation or suspend statement can optionally be introduced into the replay execution of the program.

The present invention provides a method for controlling nonlinear control problems within particle accelerators. This method involves first utilizing software tools to identify variable inputs and controlled variables associated with the particle accelerator, wherein at least one variable input parameter is a controlled variable. This software tool is further operable to determine relationships between the variable inputs and controlled variables. A control system that provides variable inputs to and acts on controller outputs from the software tools tunes one or more manipulated variables to achieve a desired controlled variable, which in the case of a particle accelerator may be realized as a more efficient collision.

A low density parity check decoder includes a variable node processor operable to generate variable node to check node messages and to calculate perceived values based on check node to variable node messages, a check node processor operable to generate the check node to variable node message vectors and to calculate checksums based on the variable node to check node messages, and a convergence detector and bit map generator operable to convergence of the perceived values and to generate at least one bit map that identifies variable nodes that are connected to check nodes with unsatisfied parity checks.

A computer-implemented method, apparatus, and computer program product to manage variable assignments in a program. The process identifies a set of variable assignments that is live on a portion of paths to form a set of identified variable assignments. Each of the set of identified variable assignments assign a value to at least one variable of a set of variables. The process determines a set of program points at which the set of identified variable assignments is live on all paths. The process also moves the set of identified variable assignments to the set of program points in response to determining that the set of identified variable assignments is movable to the set of program points.

A code assist function which suggests candidates responsive to a parsing of a partial program instruction statement is provided by parsing a program containing the partial program instruction statement to identify variables contained in the program; parsing the partial program instruction statement to generate proposals; and providing proposals to append to the partial program instruction statement to a user responsive to both the parsing of the program and the parsing of the partial program instruction statement. The code assist function may be performed according to a user-selected programming language dependent file selected from a plurality of programming language dependent files. Candidates may be proposed responsive to a verb of the partial program instruction statement, responsive to a variable type of a variable, or responsive to a portion of the program containing the partial program instruction statement.