Abstract: Disclosed are systems and methods for determining developed code scores of an application. The method may include: receiving, by a processor, one or more first score tags of one or more first blocks of developed code from a user through a computing device; identifying, by the processor, patterns in the developed code based on the received one or more first score tags; applying, by the processor, the identified patterns to one or more second blocks of the developed code; and determining, by the processor, one or more second score tags for the one or more second blocks of the developed code based on the applied patterns.

Abstract: A device and a method for computing a weighted-average-based position of a shear wave in a temporal domain based on a sampling of shear wave displacements along a propagation path of the shear wave. The weighted-average-based position is, for example, by displacement observed at a plurality of times that correspond to sampling, and represents a time of arrival of the shear wave at a location being sampled along the propagation path. Further, times of arrival of the shear wave at respective locations along the propagation path are functionally related to known inter-location distances to derive shear-wave group velocity. The derived shear-wave group velocity serves as an input into algorithms for estimating a shear elasticity of a medium, such as a body tissue, for purposes of a clinical diagnosis and therapy assessment.

Abstract: A data processing apparatus comprising a sensor and a context engine module. The sensor is configured to generate a sensor output signal representative of a value for one or more context aspects of the data processing apparatus and a confidence factor associated with each of the values for the one or more context aspects. The context engine module is configured to process the sensor output signal to generate and make available a final value for one or more context aspects of the data processing apparatus.

Abstract: A method for aligning documents which may be in different XML formats includes inputting source and target leaves of a source and documents in first and second tree structured formats and assigning a cost to each of a plurality of matches. Each match may include a source leaf and a target leaf or be an unmatched source or target leaf. Matches are identified for which a total cost is minimal, wherein each of the leaves is in at least one of the identified matches. From the identified matches, groups of two or more matches are identified which have a leaf in common. From the groups, probable matches are identified in which more that one target leaf is matched with at least one source leaf or more than one source leaf is matched with a target leaf. An alignment between leaves of the target document and leaves of the source document is output which includes the probable matches.

Abstract: Techniques are described for determining the quality of software using fuzzy logic. The techniques include using linguistic variables to translate a numeric value of a quality attribute into a linguistic value of a quality attribute. The linguistic values of multiple quality attributes are aggregated into a quality rating of the software. The quality rating then is used to predict a performance attribute for the software. Techniques are described that may help improve the accuracy of the prediction, including refining software quality parameters based on a comparison of the parameters with software quality of the developed software. The techniques also include the ability to modify the quality attributes used based on the computing environment, the organizational environment or other characteristics.

Abstract: Techniques for determining the eagerness of a call processing unit within a multiple processor call processing system to accept a new call or call upgrade, as well as call admission control and other call event processing, as well as systemwide load balancing through query of such eagerness are disclosed. Fuzzy logic and associated analysis is used to determine this eagerness. Eagerness for a particular call processing unit is determined in part with reference to the actual load of a call as well as an estimated load approximated using a probabilistic distribution function, such as a Gaussian distribution.

Abstract: A method and an apparatus for predicting intake manifold pressure are presented, to compensate for a large lag or a large time delay without producing an overshot or discontinuous behaviors of a predicted value. The method comprises the step of obtaining a difference of values of a variable to be predicted and a difference of values of another variable ahead of the variable to be predicted. The method further comprises the step of filtering the differences with adaptive filters. The method further comprises the step of obtaining a predicted difference of values of the variable to be predicted, through algorithm of estimation with fuzzy reasoning. The method further comprises the step of adding the predicted difference of values of the variable to be predicted, to a current value of the variable to be predicted, to obtain a predicted value of the variable to be predicted.

Abstract: Novel systems and methods of using a bent-tube object in a drawing file include entering a custom bent-tube object in a drawing file, and using the bent tube object to generate bender driver data. In a particular method, the step of entering the custom bent-tube object in the drawing file includes entering a multi-segmented line, and generating the custom bent-tube object based at least in part on the lengths of and angles between the segments of the multi-segmented line. In a more particular method, the step of entering the custom bent-tube object further includes selecting a tube type (e.g., a particular diameter, material, etc.), and the step of generating the custom bent-tube object further includes retrieving bent-tube object data from an object data file based at least in part on the tube type.

Abstract: An operating method for a fault detection of a semiconductor process and a diagnostic system for fault detection in a semiconductor process are described. By using the method and the diagnostic system, the real-time process parameters collected during the process is performed by the tool become meaningful and are correlated with the historic process performance data obtained by the post process metrology process. Moreover, the method and the diagnostic system further provide an alarm index for the process performed on the tool to actually reflect the process environment during the process is performed after correlating the real-time process parameters and the historic process performance data. With referring to the alarm index, the current process performance under the real-time process parameters in the tool can be accurately diagnosed.

Abstract: A system is controlled by an actor-critic based fuzzy reinforcement learning algorithm that provides instructions to a processor of the system for applying actor-critic based fuzzy reinforcement learning. The system includes a database of fuzzy-logic rules for mapping input data to output commands for modifying a system state, and a reinforcement learning algorithm for updating the fuzzy-logic rules database based on effects on the system state of the output commands mapped from the input data. The reinforcement learning algorithm is configured to converge at least one parameter of the system state to at least approximately an optimum value following multiple mapping and updating iterations. The reinforcement learning algorithm may be based on an update equation including a derivative with respect to at least one parameter of a logarithm of a probability function for taking a selected action when a selected state is encountered.

Abstract: Machine operators rely on intuition and experience to evaluate vehicle performance. As we increasingly turn to automation, it is important to automatically evaluate sensor data and system performance. Fuzzy logic allows us to take advantage of domain knowledge to evaluate data and to describe a system linguistically. In this application a fuzzy quality module evaluates output from a noisy sensor. It compares the sensor data with an estimated sensor value, and based on that comparison, dynamically adapts a fuzzy logic rulebase used to determine whether the sensor value is valid or not.

Abstract: A method, and a system applying the method, for an exact and computationally efficient solution for defuzzification uses linear and non-linear weighted wedge approaches. Fuzzy numbers are used to represent parameters in a number of applications, including design dependent parameters (DDPs) for a project in particular. A defuzzification technique is used within the domain of fuzzy logic, fuzzy set theory, and multi-valued logic to overcome the problem of the lack of absolute ordering of a fuzzy number representation. The requirement profile for the DDP (the fuzzy representation of customer requirements) is compared to the anticipation profile for the DDP (the fuzzy representation of expected performance) in three dimensions. In two dimensions, the area of overlap between the DDP requirement profile and the DDP anticipation profile represents how well the customer requirements have been met.

Abstract: The present invention provides a method and system for representing fuzzy information, and performing fuzzy logic and control operations on that information, using a quantum system. According to one embodiment fuzzy logic and control operations are performed on a quantum computer. The present invention extends quantum information processing beyond purely Boolean-logical information processing, by providing a quantum mechanical method for representing fuzzy information and realizing fuzzy logic and control.

Abstract: A knowledge modeling and delivery system combines pre-configured, parameterized models of human resource knowledge with organization-specific and employee-specific data. It delivers personalized answers to employee and manager questions about benefit plans, payroll, human resource (HR) policies, procedures, and practices. The pre-configured, parameterized models can be created and maintained outside the organization, the organizational data are created and maintained by the organization, and personal data are accessed or read from existing human resource management systems (HRMS's). This threefold partitioning yields a system that can be quickly customized to an individual organization, yields detailed and accurate information for individuals within the organization, and can be maintained in a cost-effective manner.

Abstract: Because of the enormous number of neurons and reflex pathways involved in the control of human motion, a comprehensive identification of the structure of the feedback control circuitry is a formidable experimental task. A theoretical approach based on a carefully developed model could shed light on its likely general structure, thereby providing guidance to experimenters. This paper presents a fuzzy logic based control strategy for modeling the human postural dynamics. In particular, we develop a fuzzy controller to coordinate the movement of a three segment sagittal human model to achieve upright posture. The actuation mechanism of the system consists of six muscle like actuators which are co-activated to modulate the stiffness at the joints. Simulation results are presented to illustrate the underlying principles.

Abstract: The invention uses fuzzy logic and/or probability distributions to automatically calculate and display the effects of contextual information on the confidence that an object in an image is an object of interest. The goal is to assist in determining the location and type of target objects of interest in that imagery. The imagery can come from any kind of imaging sensor or can be non-sensor imagery (e.g., two-and three-dimensional maps), and can be live or archived imagery. The locations of context objects can be provided by a human or a computer. The resulting set of data, including the original imagery, the locations of context objects, any results from AOD, and predictions about target object type and location, can be combined into a display that helps a human better understand where target object appears in the imagery.

Abstract: A knowledge modeling and delivery system combines pre-configured, parameterized models of human resource knowledge with organization-specific and employee-specific data. It delivers personalized answers to employee and manager questions about benefit plans, payroll, human resource (HR) policies, procedures, and practices. The pre-configured, parameterized models can be created and maintained outside the organization, the organizational data are created and maintained by the organization, and personal data are accessed or read from existing human resource management systems (HRMS's). This threefold partitioning yields a system that can be quickly customized to an individual organization, yields detailed and accurate information for individuals within the organization, and can be maintained in a cost-effective manner.

Abstract: A method of determining the visibility of a target in a background uses search time as the output. A set of images of the target in the background is made, and selected input variables in each image are measured. The input variables relate to target size, target juxtaposition relative to the viewer's location, luminance of the target and luminance of the background scene. One version of our method additionally uses wavelet edge points as an input variable. Each input variable, as well as the output variable, has several applicable membership functions by which membership values are assigned to the variables. Choosing membership functions for variables is done by fuzzy rules. Applying the fuzzy rules and membership functions produces multiple values for the output variable. These values are defuzzified to obtain a crisp end result. This result can disqualify proposed target designs or to help select among several good designs of the target.

Abstract: An autonomic system for updating a fuzzy neural network includes a process of calculating an estimated value based on fuzzy inference by using a neural network structure, wherein a parameter to be adjusted or identified by fuzzy inference and outputted from the neural network is made to correspond to coupling loads which are updated by learning, i.e., fuzzy rules and membership functions are adjusted by learning. This system is characterized in that the addition and deletion of fuzzy rules are conducted based on changes in output errors in an autonomic manner, thereby effectively obtaining appropriate numbers of fuzzy rules optimal for an object such as a vehicle engine having strong non-linearity. Fuzzy rules are formed by a combination of membership functions representing variables such as an engine speed and a throttle angle.

Abstract: The analog processor of this invention is programmable and capable of storing the processing coefficients in analog form. It comprises a storage section having at least one output, plural outputs in most cases, and being adapted to respectively generate programming signals on such outputs; the storage section is input a plurality of supply voltage signals and is operative to produce, in connection with information stored therein, one of the supply voltage signals on each of the outputs, it being understood that one voltage signal may be produced on several such outputs. Advantageously, the processor can also be programmed in a simple manner from circuits of the digital type if switches controlled by storage elements are used in the storage section.

Abstract: A processor operating in a fizzy logic's mode and including a fuzzyfication unit receiving a plurality of input variables on its input and being adapted to compute a membership value of such variables in a membership function, a processing unit connected downstream of the fuzzyfication unit to produce a fuzzy set, i.e. the results of fuzzy logic inference operations performed on the plurality of variables, and a defuzzyfication unit operative to translate the inference results into a so-called crisp value. The processor further includes a first memory device connected to the fuzzyfication unit and containing the set of membership functions, a second memory device connected to the defuzzyfication unit and containing the set of crisp value which appear in the THEN part of the fizzy rules, and a further memory device connected to the defuzzyfication unit.

Abstract: An adaptive run-time controller is used to adjust the run-time of a fabrication and assembly process simulation model based on inputs generated by outside forces. The run-time controller utilizes fuzzy logic to evaluate the outside forces against existing control rules to determine new simulation run-times based upon this evaluation. The run-time controller then analyzes and adjusts the existing control rules based on current, historical and trend data. The new rules are integrated into the run-time controller to accurately reflect the current status of the fabrication and assembly process for subsequent simulation runs. As such, the run-time controller inputs and evaluates outside forces that were impossible or impracticable to integrate in the simulation model.

Abstract: A multi-mode oriented polynomial transformation based defuzzification strategy uses a Kalman filter in a parameter leaning procedure defuzzification application where two or more distinct possibility peaks exist in its membership function distribution.

Abstract: The analog processor can carry out processings independently of the operating temperature and process parameters, in a reliable manner and at high performance levels using fairly simple circuitry. To achieve this independence, the processor is basically implemented and integrated with MOS transistors, has both voltage inputs and outputs, and includes a biasing section which supplies voltage bias signals, of which at least one is substantially the sum of a voltage proportional to the threshold voltage of the MOS transistors and a reference voltage. This reference voltage can be extracted from a reference potential which is stable to temperature and process parameters, for example that produced by a bandgap type of generator. A major feature of the processor according to the invention is the linearity of its input-output characteristic relative to that reference voltage.

Abstract: A dual-line system of controlling or monitoring processes or industrial plants employing a dual-line fuzzy unit is presented in which due allowance can be made for both positive and negative rules. These are rules issuing "positive recommendations" and "warnings" or "prohibitions" for the selection of the values of the output variables for the fuzzy unit. The dual-line system enables logical compromises to be made between these "recommendations" and "warnings" or "prohibitions". Along with the possibility of drawing on positive empirical knowledge, use of this dual-line system also creates the possibility of utilizing negative empirical knowledge with the same degree of transparency with which positive empirical knowledge has previously been used in conventional fuzzy units. The warnings serve to protect the plant or resources or to prevent undesirable control behavior. The inclusion of warnings or, more especially, prohibitions is also of interest for warranties of operational reliability.

Abstract: A direct adaptive fuzzy controller having an adaptation mechanism that modifies the locations of output membership functions to improve performance of the fuzzy controller. The controller has a fuzzy rule base that has a different or unique output membership function for each fuzzy rule. The adaptation mechanism modifies the location of the output membership functions in response to the performance of the controller system, to continuously improve its performance. The controller is a feedback mechanism that functions not only using measured outputs of the process controlled, but has feedforward compensation that causes the controller to anticipate feedback due to measured disturbances or other parameters of the process.