Abstract: Techniques for analyzing and modeling the frequency of queries are provided by a query analysis system. A query analysis system analyzes frequencies of a query over time to determine whether the query is time-dependent or time-independent. The query analysis system forecasts the frequency of time-dependent queries based on their periodicities. The query analysis system forecasts the frequency of time-independent queries based on causal relationships with other queries. To forecast the frequency of time-independent queries, the query analysis system analyzes the frequency of a query over time to identify significant increases in the frequency, which are referred to as “query events” or “events.” The query analysis system forecasts frequencies of time-independent queries based on queries with events that tend to causally precede events of the query to be forecasted.

Abstract: A network management station includes a processor, memory coupled to the processor, and computer executable instructions provided to the memory and executable by the processor. The computer executable instructions are configured to transmit a network management message to a network device connected to the network management station over a network, receive response information from the network device based on the network management message, receive unsolicited information from the network device, and apply fuzzy logic to the received information and the unsolicited information to produce information associated with the health of the network device.

Abstract: A method for establishing a disguised communication session between communicating user terminals. The method comprises at a first communicating user terminal, providing data for a communication session with a second communicating user terminal, distributing the data among a plurality of proxy network nodes, and using the plurality of proxy network nodes for forwarding a plurality of flows to the second communicating user terminal, each the flow comprising a portion of the data. The distributing and forwarding is performed so as to disguise at least one characteristic of the communication session from at least one inspection entity probing the plurality of flows.

Abstract: A method for generating a manufacturing process map comprises obtaining sets of N-dimensional expert data from at least three sources, defining a membership function for each set of expert data, applying fuzzy logic operations to said membership functions to generate new membership functions, the new membership functions defining N-dimensional regions within an N-dimensional design space and using one of said N-dimensional regions to generate the manufacturing process map.

Abstract: A neural prosthesis for providing a signal indicative of a predicted event from a cycle of events includes a signal-acquisition system for receiving a neural signal, and a fuzzy-logic inference system for receiving, from the signal acquisition system, a signal indicative of a current location within the cycle of events. The fuzzy-logic inference system is configured to predict a successive event in the cycle of events.

Abstract: Embodiments include applying fuzzy based rules to information associated with various metrics from a network device to produce a variable fuzzy based rule expression. The variable fuzzy based rule expression can then be used as an input parameter to a fuzzy rule based heuristic.

Abstract: A method and structure for automatically producing bridging inferences that join two related input sentences, by applying a lexicon and ontology data structure to a first input sentence to produce first input tagged sentences, applying the lexicon and ontology data structure to a second input sentence to produce second input tagged sentences, matching each first input tagged sentence to first rules, generating first inferred tagged sentences from the first rules, matching the first inferred tagged sentences to second rules, generating second inferred tagged sentences from the second rules, matching the second inferred tagged sentences to third rules, generating third inferred tagged sentences from the third rules, and so on, until a final inferred tagged sentence matches any second input tagged sentence.

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: A method and computer product is disclosed for arbitrating the outputs of a plurality of recognizers to select a hypothesis associated with a given input from a plurality of hypotheses. Fuzzy membership states are assigned to respective candidate outputs of the plurality of recognizers. At least one rule is selected according to the assigned fuzzy membership states. A selected rule provides a determined amount of support mass for an associated one of the plurality of hypotheses and a determined amount of uncertainty mass. A support value for each hypothesis and an overall uncertainty are determined from the provided mass values. A hypothesis having a highest support value while having an acceptable low level of uncertainty is selected.

Abstract: Novel load-balancing methods and devices direct Internet traffic to a “next available” communications server within a group of server based on a set of fuzzy logic rules. The use of fuzzy logic rules allows a next available server to be quickly and accurately selected.

Abstract: A system and method for the display of advertising information is provided wherein the system is able to sense the presence and obtain characteristics of individuals in the immediate environment of the display. The system then selects a specific informational content/program to improve the effectiveness of the display device based upon the obtained characteristics of one or more sensed individuals.

Abstract: A method and structure for automatically producing bridging inferences that join two related input sentences, by applying a lexicon and ontology data structure to a first input sentence to produce first input tagged sentences, applying the lexicon and ontology data structure to a second input sentence to produce second input tagged sentences, matching each first input tagged sentence to first rules, generating first inferred tagged sentences from the first rules, matching the first inferred tagged sentences to second rules, generating second inferred tagged sentences from the second rules, matching the second inferred tagged sentences to third rules, generating third inferred tagged sentences from the third rules, and so on, until a final inferred tagged sentence matches any second input tagged sentence.

Abstract: A human-computer interface system and methods for providing intelligent, adaptive, multimodal interaction with users while accomplishing tasks on their behalf in some particular domain or combination of domains. Specifically, this system accepts user input via natural language text, mouse actions, human speech, whistles, gestures, pedal movements, facial or postural changes, and conveys results via natural language text, automatically-generated speech, and displays of graphs, tables, animation, video, and mechanical and chemical effectors that convey heat, tactile sensation, taste and smell.

Abstract: A device for filtering electrical signals has a number of inputs arranged spatially at a distance from one another and supplying respective pluralities of input signal samples. A number of signal processing channels, each formed by a neuro-fuzzy filter, receive a respective plurality of input signal samples and generate a respective plurality of reconstructed samples. An adder receives the pluralities of reconstructed samples and adds them up, supplying a plurality of filtered signal samples. In this way, noise components are shorted. When activated by an acoustic scenario change recognition unit, a training unit calculates the weights of the neuro-fuzzy filters, optimizing them with respect to the existing noise.

Abstract: A method of valuation of large groups of assets by partial full underwriting, partial sample underwriting and inferred values of the remainder using an iterative and adaptive supervised and unsupervised statistical evaluation of all assets and statistical inferences drawn from the evaluation and applied to generate the inferred asset values. Individual asset values are developed and listed in realtional tables so that individual asset values can be rapidly taken from the tables and quickly grouped in any desired or prescribed manner for bidding purposes. The assets are collected into a database, divided into categories by credit variable, subdivided by ratings as to those variables and then rated individually. The assets are then regrouped according to a bidding grouping and a collective valuations established by cumulating the individual valuations.

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: One or more embodiments of the invention provide a method, apparatus, and article of manufacture for refining an approximate location of a mobile device using fuzzy logic reasoning. An approximate location of a device is determined. A rule base that comprises an ordered collection of rules is then read into memory, or loaded from a database. A set of imprecise inputs are captured for processing in the rules. However, prior to processing the inputs in the rules, the inputs are processed to determine a magnitude of participation of the input in the rules. The rules are then applied to the imprecise inputs based on the magnitude of participation to produce a logical product. A refined location is then computed based on the logical product.

Abstract: A method and architecture for calculating input values for use in automated analysis and design during the various stages of the design process includes smart defaults. Specific parameter types are defined, some of which are adapted to be specified, or if not specified, calculated by the smart defaults. A tree structure is provided for determining parameter relationships in order to calculate parameter values. The tree structure uses a specific routine to call a smart default each time a parameter value is to be determined, and values are thereby calculated independent of the order of the data inputs.

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: The invention provides an optimization device for a unitary apparatus that can obtain optimum characteristics as a combined apparatus, without losing user's selectivity and unitary apparatus's versatility. The optimization device includes an optimization process section that optimizes dynamic characteristics of the unitary apparatus using genetic algorithms and fuzzy inference, with functional characteristics of a combined apparatus as evaluation reference.

Abstract: For encoded membership functions used to identify atomic conditions defining antecedents of fuzzy inferences, and also for determining operands of the antecedents, corresponding stores are configured to store already available values of these encoded membership functions and of the operands. At the time of identification of a new value for the quantities, a check is made to see whether this value is already present in the corresponding store. If the outcome of this check is positive for encoded membership functions, pointers by which the encoded fuzzy inferences point to these functions is changed, so that the pointers are redirected towards the membership functions which are already stored. For operands of the antecedents, the check of the corresponding back-up store is carried out preferably based on the corresponding calculation values, the calculation of a new operand being disabled when the corresponding calculation parameters are already present in the corresponding back-up store.

Abstract: A method and data processing system assesses the security vulnerability of a network. A system object model database is created and supports the information data requirements of disparate network vulnerability analysis programs. Only the required data from the system object model database representing the network is imported to the programs, which then analyze the network to produce data results from each program. These data results are stored in a common system model database and within the data fact base. Goal oriented fuzzy logic decision rules are applied to determine the vulnerability posture of the network.

Abstract: The signals of a danger detector that has at least one sensor (2, 3, 4) for monitoring danger parameters and an electronic evaluation system (1) assigned to the at least one sensor (2, 3, 4) are compared with specified parameters. In addition, the signals are analysed with regard to whether they occur increasingly frequently or regularly, and signals that occur increasingly frequently or regularly are classified as interference signals. The classification of signals as interference signals triggers an appropriate adjustment of the parameters. If interference signals occur, the validity of the result of the analysis of the signals of the at least one sensor (2, 3, 4) is checked prior to the adjustment of the parameters, and the parameters are adjusted as a function of the result of said validity test.

Abstract: A method, system and apparatus for performing peritoneal dialysis are provided. To this end, in part, a method of controlling a medical fluid heater is provided. The method includes the steps of determining a first heater control output based on a number of measured inputs for the heater and at least one mathematical relationship between at least two of the measured inputs, determining a second heater control output based on at least one fuzzy logic membership function and at least one fuzzy logic rule, and determining a third heater control output based on the first and second outputs and using the third heater control output to control the heater.

Abstract: The calculation circuit comprises a subtracter having a first and a second input receiving a first and, respectively, a second input datum; a first output supplying a first output datum equal to the difference between the first and the second input datum; and a second output supplying a sign flag indicating the sign of the first output datum; an XOR logic gate having a first input receiving the sign flag, a second input receiving a first logic selection signal assuming a first level for the selection of the logical fuzzy union operation and a second level for the selection of the logical fuzzy intersection operation, and an output supplying a second logic selection signal; and a multiplexer having a first and a second datum input receiving the first and, respectively, the second input datum; a selection input receiving the second selection signal; and an output supplying a second output datum constituted by the first or the second input datum (A, B) as a function of the level assumed by the second selection s

Abstract: A codifying and storing method for membership functions representing a membership degree of fuzzy variables defined within a universe of discourse which is discretized into a finite number of points is provided. The membership functions are quantized into a finite number of levels corresponding to a finite number of membership degrees and are stored by means of a characteristic value of each sub-set of values of fuzzy variables having for their image the same value of the membership degree corresponding to one of said levels. Also provided is a method for calculating the value of the membership degree of a fuzzy variable defined within a universe of discourse discretized into a finite number of points with reference to a membership function thereof, as well as to a circuit for calculating the membership degree of a fuzzy variable with reference to a membership function thereof.

Abstract: This invention, relates to a generic system and method for supporting hiring decisions based on biographical information blank input, more particularly, this system and method yields superior decisions through the use of soft computing technologies (fuzzy logic, neural networks, and genetic algorithms) to better score biographical information blanks.

Abstract: a System for calculating and emitting analytical data, particularly medically relevant analytical data, has a computer with an evaluation unit for analyzing information entered by the system user and for generating the analytical data, and an output medium provided at the user side. The evaluation unit is configured for interrogating and accepting information that can be entered at the user side such that the information can be entered autonomously by the user based on a number of inquiries which are predefined at the system side, and which can be selected with reference to each response, and which can be made available as an output to user via the output medium. The evaluation unit is configured for controlling an interactive information capture such that, depending on the running information compilation, specific inquiries can be formulated and shown to the user.

Abstract: A method and system for ordering a priority for a function to receive any type of processing resources in a system that includes a plurality of functions. The invention includes identifying a plurality of instances of the functions that use processing resources. The invention then determines an importance of at least one of said instances by using fuzzy logic in a fuzzy inference system.

Abstract: A method, system and apparatus for locating a testable object in a functional testing tool is provided. The system can include a record process configured to produce both a test script and an object mapping, and a playback process configured to process the test script. An object manager can be coupled to the playback process and configured to locate among candidate objects in a GUI, a candidate object having a set of properties which partially matches another set of properties associated with a corresponding test object in the object mapping.

Abstract: A method and system for performing fuzzy logic based de-interlacing on film source fields that might be mixed with video on film. An embodiment of the invention comprises an adaptive de-interlacer by weighing between merge operation and interpolation operation in the case of occurring video on film motion object. A weighing factor is generated from video on film pattern based on fuzzy logic inference rules. This weighing factor specifies the weighting between merging and interpolating in assigning the pixel values of the progressive display output.

Abstract: Latent effects on a system are broken down into components ranging from those far removed in time from the system under study (latent) to those which closely effect changes in the system. Each component is provided with weighted inputs either by a user or from outputs of other components. A non-linear mathematical process known as ‘soft aggregation’ is performed on the inputs to each component to provide information relating to the component. This information is combined in decreasing order of latency to the system to provide a quantifiable measure of an attribute of a system (e.g., safety) or to test hypotheses (e.g., for forensic deduction or decisions about various system design options).

Abstract: Control apparatus for a horizontal boring tool is described which drives a boring lance via boring rods. The tool includes an input interface for receiving actual values of controlled variables of the horizontal boring tool, and an output unit for issuing control signals for controlling the horizontal boring tool. Between the input interface and the output unit is provided a fuzzy control unit which determines the control signals for activation of the horizontal boring tool from the actual values of the controlled variables and the desired values for the controlled variables by fuzzy logic while taking into account heuristic process values. The control apparatus permits automatic operation of the horizontal boring tool with good course steering and high precision.

Abstract: In hybrid communication environments, in which both the wired and wireless communication links in a communication channel can exist in a communication channel, performance of a quality-of-service (QoS) provision can be enhanced if the application knows whether there exist wireless links in the communication channel and adapts its behavior accordingly. The system of the present invention includes a fuzzy reasoning engine which uses quality of service parameters of a communication channel relating to network statistical patterns as fuzzy inputs, and determines a confidence about the existence of wireless links in the communication channel as the output. The quality of service parameters can include a mean value and variance of round trip time of packets communicating between two communication entities over the comunication channel. Based on the determination of the type of link, the application can be adapted in order to provide a predetermined quality of service.

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: A system and method for selecting a training data set from a set of multidimensional geophysical input data samples for training a model to predict target data. The input data may be data sets produced by a pulsed neutron logging tool at multiple depth points in a cases well. Target data may be responses of an open hole logging tool. The input data is divided into clusters. Actual target data from the training well is linked to the clusters. The linked clusters are analyzed for variance, etc. and fuzzy inference is used to select a portion of each cluster to include in a training set. The reduced set is used to train a model, such as an artificial neural network. The trained model may then be used to produce synthetic open hole logs in response to inputs of cased hole log data.

Abstract: Method and apparatus are disclosed for the development and implementation of virtual robot's (bot's) directed natural language interaction with computer users. Bots employing the present invention base natural language interaction on a predefined universe of discourse that is decomposed hierarchically into domains. A data structure provides a storage area for each domain. The data structure may reflect the hierarchical decomposition. Domain topics containing program code directing the bot's interaction are placed in domain storage areas. Pattern lists associate words expected to be “heard” by the bot with particular domain topics. Domain topics are provided, as appropriate, to direct a user's attention toward the instant domain's parent, siblings, or children, with lower topics in the hierarchy getting higher preference. Domain censoring and domain tiebreakers improve usability.

Abstract: A method of operating a fuzzy inference system to simplify a mesh capable of producing a high-quality approximate mesh and retaining good characteristics and appearance so that a good visual effect emerges. The invention utilizes a fuzzy inference system to integrate mesh attributes and estimate the cost in removing certain data, which serve as a criteria for mesh simplification. Hence, the invention is suitable for progressive meshes, multiresolution modeling rendering and progressive transmission on a network.

Abstract: A fuzzy-neuro method uses a neuro network to discriminate optical disk type. The fuzzy-neuro method establishes a plurality of characteristic signal sets corresponding to the optical disks of various formats; and uses the neuro network to match the optical disk under question to the characteristic signal sets for finding the type thereof.

Abstract: An application development environment for developing end user applications for supporting management of operational environment. The environment consists of a number of subsystems. An organization modeler for defining the operational processes and the organizational units that are involved. A connection builder for defining connections to collect data from other systems. A view builder to define the views on the data. A distributor to create the end user application. A steering process modeler for defining a steering process by the steps of identifying a steering process, identifying at least one steering step for each steering process and linking the steering steps in order to build the steering process model. A model builder for defining steering models by the steps of identifying a steering model, defining input variables, defining output variables, defining the relation between the input and output variables.

Abstract: A method, system, and computer program product for aggregating constraints and/or preferences using an inference engine and an enhanced scripting language. Values of multiple factors and the interrelationships between the factors and their values are aggregated, and the result is used to tailor or direct the processing of a software program. This approach enables representing complex decisions in a straightforward manner, and avoids the need to modify the software program to account for new factors and/or new values thereof.

Abstract: A method of automatically generating a multi-variable fuzzy inference system using a Fourier series expansion. Sample sets are decomposed into a cluster of sample sets associated with given input variables. Fuzzy rules and membership functions are computed individually for each variable by solving a single input multiple outputs fuzzy system extracted from the set cluster. The resulting fuzzy rules and membership functions are composed and integrated back into the fuzzy system appropriate for the original sample set with a minimal computational cost. In addition, an overall system error can be related to errors at each stage of decomposition and composition, enabling error bounds or accuracy thresholds for each stage to be specified and ensuring the final precision of the resulting fuzzy system on the original sample set.

Abstract: Artificial neural network systems where each signal processing junction connected between signal processing elements is operable to, in response to a received impulse action potential, operate in at least one of three permitted manners: (1) producing one single corresponding impulse, (2) producing no corresponding impulse, and (3) producing two or more corresponding impulse. A preprocessing module may be used to filter the input signal to such networks. Various control mechanism may be implemented.

Abstract: A process is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A robust system for automating the tuning and maintenance of decision-making systems is described. A configurable multi-stage mutation-based evolutionary algorithm optimally tunes the decision thresholds and internal parameters of fuzzy rule-based and case-based systems that decide the risk categories of insurance applications. The tunable parameters have a critical impact on the coverage and accuracy of decision-making, and a reliable method to optimally tune these parameters is critical to the quality of decision-making and maintainability of these systems.

Abstract: A system is described for evaluating the decision-making confidence of a process and system for at least a partial underwriting of insurance policies where placement of an insurance application to an underwriting category is based on its similarity to previous insurance applications. The confidence factor computed is a measure of the correctness of the decision for a given application for insurance.

Abstract: A membership function unit includes a membership function setting section for adjusting positions or shapes of membership functions depending on inputs of elements influencing human senses so as to set the membership functions and a membership value computing section for computing membership function values associated with input variables in the membership functions attained by the membership function setting section. The invention also relates to a fuzzy control system development support apparatus. The invention also relates to a method of developing a fuzzy control system.

Abstract: A fuzzy logic control arrangement is provided for an impedance match network of the type that is typically employed between a source of RF power at a given impedance, e.g., 50 ohms, and a non-linear load whose impedance can vary in magnitude and phase, e.g., an RF plasma. The fuzzy logic controller fuzzifies the phase and the magnitude error signals. The error signals are applied to a fuzzy logic interference function based on a number of fuzzy sets. The values of the error signals enjoy some degree of membership in one or more fuzzy sets. Fuzzy logic rules are applied to the phase and magnitude error signals. In a defuzzification stage, drive signal values are obtained for moving the tuning elements of the variable impedances. The drive signal values are weighted according to respective fuzzy inference functions for which the error signals enjoy membership. Then the weighted drive signal values are combined to produce output drive signals.