Abstract: A system and method for identifying a box to be picked up by a robot from a stack of boxes. The method includes obtaining a 2D red-green-blue (RGB) color image of the boxes and a 2D depth map image of the boxes using a 3D camera. The method employs an image segmentation process that uses a simplified mask R-CNN executable by a central processing unit (CPU) to predict which pixels in the RGB image are associated with each box, where the pixels associated with each box are assigned a unique label that combine to define a mask for the box. The method then identifies a location for picking up the box using the segmentation image.

Abstract: A method for upgrading a portion of a process control system from a legacy programmable logic controller (PLC) to a non-PLC process controller is disclosed. A mounting rack sized to fit into a space occupied by legacy hardware is assembled and populated with replacement hardware that includes an I/O card, an I/O terminal block, and a custom interface module. The custom interface module is coupled to the I/O card via the I/O terminal block and to a plurality of process control field devices via a legacy wiring mechanism coupled to legacy wiring of the process control system, without requiring modification or re-termination of the legacy wiring. The legacy wiring mechanism is disconnected from the legacy hardware, the rack containing the legacy hardware is removed and replaced with the mounting rack, and the legacy wiring mechanism is coupled to the custom interface module.

Abstract: A computer system in included in a system for providing wildfire evacuation support. The computer system operates to obtain sensor data that represents a wildfire in a target region from a UAV which is deployed within the target region, obtain a current location of an individual in a hazardous situation in the target region, and obtain a desired destination for the individual in the target region. Based on the sensor data, the computer device identifies one or more danger zones that pose a fire-related threat to the individual, and determines at least one evacuation path that extends from the current location to the desired destination while avoiding the one or more danger zones. The computer system may be located at the UAV or on a central computer resource in communication with the UAV.

Abstract: An apparatus (104) and a method (800) for controlling steering of rear wheels (103) of a vehicle (100) are disclosed. The apparatus (104) comprises a control means (105) configured to receive a first signal indicative of a front wheel steering angle and a second signal indicative of a selected mode selected from at least a first mode and a second mode. The control means is also configured to determine a proposed rear wheel steering angle in dependence on the first signal and the second signal and to provide an output signal configured to cause steering of rear wheels (103) at the proposed rear wheel steering angle.

Abstract: A laundry washing machine and method of operating same for the purpose of automatically determining a soil level of a laundry load from two turbidity readings taken before a washing cycle commences, such as during a pre-wash, filling phase. The machine is configured to detect a load size, add a first amount of water and take a first turbidity reading. A first dose of detergent is then added, a second amount of water added and the wetted load is gently tumbled/agitated before taking a second turbidity reading. A value based upon a ratio of the turbidity readings can determine the soil level of the load in order to choose a wash-related parameter, such as how much detergent to use for the subsequent complete wash cycle and/or the duration thereof.

Abstract: A multi-sensor data fusion-based self-powered online monitoring system for a transmission line includes a plurality of detection nodes, an optical communication receiving and demodulation module, and a data processing module. The detection nodes each include a vibration energy harvesting module, a sensing module, and an optical communication modulation and transmitting module. The detection node uses a triboelectric nanogenerator (TENG) to convert and harvest energy, uses the sensing module to acquire a plurality of types of sensing data, and uses the optical communication modulation and transmitting module to modulate and transmit the sensing data. The optical communication receiving and demodulation module correspondingly receives and demodulates the sensing data, and transmits the sensing data to the data processing module for processing.

Abstract: A system and methods for contact center fault diagnostics, comprising a diagnostic engine and test cases used for testing components and services in a contact center, designed to operate on a contact center with a specified test campaign, allowing a contact center's various services and systems to be tested either internally or externally in an automated fashion with specified testcases being used to specify the format and expectations of a specific test, with reports of failures and points of failure being made available to system administrators.

Abstract: Specifically programmed, integrated motor vehicle dangerous driving warning and control system and methods comprising at least one specialized communication computer machine including electronic artificial intelligence expert system decision making capability further comprising one or more motor vehicle electronic sensors for monitoring the motor vehicle and for monitoring activities of the driver and/or passengers including activities related to the use of cellular telephones and/or other wireless communication devices and further comprising electronic communications transceiver assemblies for communications with external sensor networks for monitoring dangerous driving situations, weather conditions, roadway conditions, pedestrian congestion and motor vehicle traffic congestion conditions to derive warning and/or control signals for warning the driver of dangerous driving situations and/or for controlling the motor vehicle driver use of a cellular telephone and/or other wireless communication devices.

Abstract: An apparatus includes an inverse radar sensor model processor and a grid mapping processor. The inverse radar sensor model processor receives radar sensor data for a time k from a radar sensor, generates object data based on the radar sensor data, and calculates instantaneous masses at the time k for each cell in a field of view (FOV) of the radar sensor based on the object data and a sensor characteristic. The inverse radar sensor model processor outputs the calculated instantaneous masses to the grid mapping processor, which also receives accumulated masses for each cell in the FOV for a time period 0:k?1. An accumulated mass represents a combination of instantaneous masses for the cell at each time increment in the time period 0:k?1. The grid mapping processor generates updated accumulated masses for a time period 0:k.

Abstract: A method and system for controlling an engine clutch of a P2 type parallel hybrid vehicle includes steps of: determining whether or not a learning mode entry condition is satisfied, depending on whether or not a kickdown shift occurs during performance of variable hydraulic control of an engine clutch and based on the degree to which slip of the engine clutch occurs, deriving and storing a learning hydraulic value for suppressing the slip that is to occur when the kickdown shift occurs during the performance of the variable hydraulic control in such a manner that the slip does not occur, when a vehicle state satisfies a predetermined learning mode entry condition, and computing a final hydraulic pressure by adding a hydraulic compensation value to a target hydraulic pressure, when the same kickdown shift situation occurs, and controlling the engine clutch using the computed final hydraulic pressure.

Abstract: A computer-implemented static analysis system for binary executables and source code configured to detect vulnerabilities, undocumented features and other input program errors. The system uses a fuzzy logic engine to reduce a number of false positives and false negatives results. The system has a decompiler configured to receive a source code of an input program and represent the input program in a target low-level language code (LLC) intermediate representation (IR) and a frontend configured to receive a binary code representation of the input program and represent the input program in the target LLC IR. The system further has an analyzer configured to receive the target LLC IR and analyze the target LLC IR to detect vulnerabilities, undocumented features and input program errors using predetermined rules stored in a rule module and provided to the analyzer. The analyzer uses the fuzzy logic engine to receive substantially more accurate results.

Abstract: The disclosure provides systems and processes for applying neural networks to detect intrusions and other anomalies in communications exchanged over a data bus between two or more devices in a network. The intrusions may be detected in data being communicated to an embedded system deployed in vehicular or robotic platforms. The disclosed system and process are well suited for incorporation into autonomous control or advanced driver assistance system (ADAS) vehicles including, without limitation, automobiles, motorcycles, boats, planes, and manned and un-manned robotic devices. Data communicated to an embedded system can be detected over any of a variety of data buses. In particular, embodiments disclosed herein are well suited for use in any data communication interface exhibiting the characteristics of a lack of authentication or following a broadcast routing scheme—including, without limitation, a control area network (CAN) bus.

Abstract: A method, computer program product and computer system to generate safety alerts is provided. A processor retrieves a plurality of measurements associated with a location. A processor determines a set of features based on the plurality of measurements. A processor identifies a set of membership functions for the set of features. A processor determines a safety index for the body of water based on the set of membership functions and one or more input value ranges for the set of features. In response to the safety index being above a threshold value, a processor sends an alert to one or more users regarding the location.

Abstract: Circuit operation is improved through application of artificial intelligence to optimize circuit control. This can provide dynamic and intelligent supply regulation for power supplies which has particular advantages for the Internet of Things and other similar areas which require circuits to be used in different environments or with widely varying energy sources.

Abstract: Aspects of the disclosure relate to email verification. A computing platform may receive an electronic message and identify one or more portions of content in the message. Then, the computing platform may generate and embed one or more message-specific identifiers into the electronic message and store electronic message information associating the one or more portions of content with the one or more embedded message-specific identifiers. Thereafter, the computing platform may receive an electronic message verification request to verify authenticity of an identified electronic message received by a computing device. The computing platform may prompt a user of the computing device to provide authentication information associated with one or more portions of content of the identified electronic message.

Abstract: A quality improvement method for an image sensor array includes collecting in-line optical inspection data of the image sensor, collecting end of line electrical data of the image sensor, creating defect maps and obtaining x-y coordinates of the optical inspection data and the electrical data, correlating the defect maps to generate correlated defects, classifying the images of the correlated defects, and generating root cause statistics of the classified correlated defects.

Abstract: An approach for auto tuning a PID controller that may incorporate determining set-points for controlled variables, obtaining controlled variables from a controlled process module, taking a difference between the set-points and the controlled variable as inputs to a proportional, integral and derivative (PID) controller, calculating a loss or reward from the difference between the controlled variables and the set-points, and achieving set-point tracking. The loss or reward needs to be an increasing or decreasing function of a control error value. Also incorporated may be adding loss or reward components based on controlled variables time difference or control action time difference, which may effect a self-tuned performance of the PID controller.

Abstract: A method for standardizing image annotation includes receiving a defect pattern; marking an image according to the defect pattern to generate a first judgement result; marking the image according to the defect pattern to generate a second judgement result; comparing the first judgement result and the second judgement result to obtain a comparison result; and updating the defect pattern according to the comparison result to standardize the defect pattern. The method for standardizing image annotation of the present specification can improve the marking stability of the training data of a trained image recognition algorithm, thereby improving the accuracy of image recognition of the trained image recognition algorithm.

Abstract: Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

Abstract: An automatic target recognizer system including: a database that stores target recognition data including multiple reference features associated with each of multiple reference targets; a pre-selector that selects a portion of the target recognition data based on a reference gating feature of the multiple reference features; a preprocessor that processes an image received from an image acquisition system which is associated with an acquired target and determines an acquired gating feature of the acquired target; a feature extractor and processor that discriminates the acquired gating feature with the reference gating feature and, if there is a match, extracts multiple segments of the image and detects the presence, absence, probability or likelihood of one of multiple features of each of the multiple reference targets; a classifier that generates a classification decision report based on a determined classification of the acquired target; and a user interface that displays the classification decision report.

Abstract: A distance determination system for a microscope system for coarse focus setting includes a sample stage with a placement surface for holding a displaceable sample carrier, an overview camera with a non-telecentric objective for producing digital images, directed at the sample stage, and an evaluation unit, which includes a storage system storing at least two recorded digital images of the sample stage at different viewing angles, a trained machine-learning-based system for identifying corresponding structures of a sample carrier in the sample stage in the two recorded digital images and a distance determination unit, which determines the distance of a reference point of the sample carrier from a reference point of the overview camera based on the different viewing angles onto the sample stage, a pixel distance of the two recorded digital images with respect to one another using the associated corresponding structures contained in the recorded images.

Abstract: The disclosure provides a surface inspection apparatus for inspecting a surface of an object, a non-transitory computer readable medium thereof, and a surface inspection method thereof. According to an aspect of the disclosure, the surface inspection apparatus includes an imaging device configured to image a surface of an object to be inspected, and a processor configured to calculate a numerical value representing a quality of the surface by processing an image captured by the imaging device, and display, on a display device, the image including an index for specifying a position of a portion that has contributed to the calculation of the numerical value and the numerical value.

Abstract: The control method for a constant speed running of a vehicle performs a vehicle speed control for downshifting the gear position of the automatic transmission when the acceleration/deceleration of the vehicle is larger than the determination value during the constant speed running control. In the control method, the automatic transmission includes a plurality of gear positions that can be downshifted during the constant speed running control, and among the plurality of gear positions, the determination value between the gear positions having a relatively large difference in the gear ratio between the gear positions is set to be larger than the determination value between the gear positions having a relatively small difference in the gear ratio between the gear positions.

Abstract: Semi-autonomous vehicle apparatus which is controlled by a plurality of control sources includes a vehicle which may function autonomously and apparatus for control of the vehicle by either an onboard driver or a driver not situated onboard. The vehicle may also be controlled by an off-vehicle computational device. Hierarchy setting apparatus determines which one or combination of the possible control entities take priority. Persons using the apparatus are identified by either a password or, preferably by providing identification based on a biologic feature. Management of impaired vehicle operators is provided for.

Abstract: A method for performing extremum-seeking control of a plant includes determining multiple values of a correlation coefficient that relates a control input provided as an input to the plant to a performance variable that characterizes a performance of the plant in response to the control input. The performance variable includes a noise-free portion and an amount of noise. The method includes determining an adjusted correlation coefficient by scaling a first value of the correlation coefficient selected from the multiple values relative to a second value of the correlation coefficient selected from the multiple values. The adjusted correlation coefficient relates the noise-free portion of the performance variable to the control input. The method includes using the adjusted correlation coefficient to modulate the control input provided as an input to the plant.

Abstract: A postprocessor device outputs a machining program for controlling a CNC machine tool. The postprocessor device includes: a characteristic shape recognition unit configured to read information about a characteristic shape to be machined from cutter location data including information about a characteristic shape; a section setting unit configured to set one or more set sections on a tool path in response to the information about the characteristic shape; and a motion generation unit configured to generate a machining program including instruction for changing at least one parameter to be used for controlling at least one axis of the CNC machine tool outside the set section and inside the set section.

Abstract: Disclosed is a system for suctioning braking particles from a friction braking system of a vehicle, the suction system including a negative-pressure source, a suction mouth, a filter, a pneumatic circuit connecting the suction mouth to the negative-pressure source, and a control unit configured to control the negative-pressure source, the suction system also including a pressure sensor for measuring the pressure prevailing in the pneumatic circuit, the control unit controlling the negative-pressure source so that the pressure in the pneumatic circuit reaches or tends to meet a predetermined negative-pressure setpoint, and an associated method.

Abstract: Methods, systems, and computer programs are presented for tools for fire monitoring. One method includes an operation for receiving, by a fire forecasting program, fire-related inputs including vegetation data, topography data, weather data, and fire-monitoring information. The fire-monitoring information includes the shape of fire burning in a region. Additionally, the method includes an operation for generating a fire forecast for the region based on the fire-related inputs. The fire forecast describes a state of the fire in the region at multiple times in the future, the state of the fire comprising a fire perimeter, a fire line intensity, and a flame height. Additionally, the method includes operations for receiving updated fire-monitoring information regarding a current state of the fire in the region, for modifying the fire forecast based on the updated fire-monitoring information, and for causing presentation of the fire forecast in a user interface.

Abstract: A machine learning method of a machine learning device including a machine learning classifier includes receiving, at the machine learning device, an image and first class information associated with the image, generating, at the machine learning device, second class information associated with the image by performing classification on the image by using the machine learning classifier, and as the second class information is generated, updating, at the machine learning device, the machine learning classifier by performing a first learning operation when a guide map is received together with the image and performing, at the machine learning device, a second learning operation different from the first learning operation when the guide map is not received together with the image.

Abstract: Disclosed are a method and apparatus of estimating a depth of a molten pool formed during a 3D printing process, and a 3D printing system. A surface temperature of the molten pool is measure by taking a thermal image of a laminated printing object during the 3D printing process with a thermal imaging camera. The measured surface temperature is compared with a melting point of the base material to determine a surface boundary of the molten pool. The maximum lengths in x-axis and y-axis directions of a surface region of the molten pool defined by the surface boundary of the molten pool are determined as a length and a width of the surface of the molten pool, respectively. A maximum depth in the z-axis direction of the molten pool is determined in real time based on the length and width of the surface region of the molten pool.

Abstract: There is provided with an information processing apparatus. An obtaining unit obtains an image. A first detecting unit detects a subject from the image. An exposure control unit controls an exposure based on a luminance of the detected subject. A second detecting unit detects a portion of the subject from the exposure-controlled image. A storing unit stores a difference between a first luminance of the detected subject and a second luminance of the portion of the detected subject.

Abstract: A network element includes multiple ports and a packet classifier. The packet classifier is configured to receive rules and Rule Patterns (RPs), each RP corresponding to a subset of the rules and specifies positions of unmasked packet-header bits to be matched by the rules in the subset, to store in a RAM a grouping of the RPs into Extended RPs (ERPs), each ERP defining a superset of the unmasked bits in the RPs associated therewith, to receive packets and match each packet to one or more of the rules by accessing the ERPs in the RAM, to determine counter values, each counter value corresponding to a respective RP and is indicative of a number of the received packets that match the RP, and to adaptively modify grouping of the RPs into the ERPs depending on the counter values.

Abstract: An audio signal processing device includes a neural network circuit that includes an input layer including input units, an intermediate layer, and an output layer including output units, an input section that executes simultaneous inputting of, at each of unit time intervals, each of pieces of unit data of consecutive sampling units in an input signal data string generated through sampling based on an audio signal string into each of the input units on a one-to-one basis, one of the pieces of unit data input into one of the input units at one of the unit time intervals being input into another of the input units at another of the unit time intervals in the simultaneous inputting at each of the unit time intervals, and an output section that outputs, in accordance with the simultaneous inputting over a plurality of the unit time intervals that are consecutive, a computation result at each of the unit time intervals, the computation result being based on pieces of data output from the output units at each of th

Abstract: A method is disclosed for operating a motor vehicle, wherein a control device determines a first index value from vital physiological data received from a sensor device at a first point in time. The control device generates a first actuator signal describing the activation of first actuator function, to be carried out by a first actuator that is selected based on the first index value. At a second point in time, the sensor device records additional vital physiological data and identifies a second index value. Both index values, each describing a physiological state of the user, are compared, and the result is used to determine whether the second index value meets an efficacy criterion that describes a predetermined degree of improvement in the physiological state brought about by the activated actuator function. If the second index value meets the efficacy criterion, the first actuator function is activated as soon as an index value is identified that describes the same physiological state.

Abstract: Disclosed herein is an apparatus for controlling standalone-type rear wheel steering (RWS), which includes a vehicle speed detection unit for detecting a vehicle speed by communicating with a sensor installed in a vehicle or an Electronic Control Unit (ECU); a steering angle and steering angular velocity detection unit for detecting steering angles and steering angular velocities of front and rear wheels by communicating with a sensor installed in the vehicle or the ECU; a master cylinder pressure detection unit for detecting a master cylinder pressure by communicating with a sensor installed in the vehicle or the ECU; and a controller for determining braking or turning of the vehicle using the information detected using the sensors or received from the ECU, calculating the amount of toe-in when the vehicle is braking or calculating a rear wheel steering angle when the vehicle is turning, and controlling the RWS based thereon.

Abstract: According to the present disclosure, a steering system and method for a machine includes a vehicle control system configured to command steering of the machine, and a steering sensor in communication with the vehicle control system. The steering sensor is configured to detect a position of a steering actuator of the machine. The vehicle control system is configured to detect an acceleration rate of the machine and to command steering of the machine based at least in part on the position of the steering actuator and the acceleration rate of the machine.

Abstract: An action control method and apparatus related to the field of artificial intelligence, where the method includes obtaining states of N dimensions of an artificial intelligence device, obtaining a plurality of discrete decisions based on an active fuzzy subset and a control model that are of a state of each of the N dimensions, where an active fuzzy subset of a state is a fuzzy subset whose membership degree of the state is not zero, the membership degree is used to indicate a degree that the state belongs to the fuzzy subset, performing, based on a membership degree between a state and an active fuzzy subset that are of each dimension, weighted summation on the plurality of discrete decisions, to obtain a continuous decision, and controlling, based on the continuous decision, the artificial intelligence device to execute a corresponding action.

Abstract: Systems, methods and apparatus of intelligent wear-leveling with reduced write-amplification for data storage devices configured on autonomous vehicles. For example, a data storage device of a vehicle includes: storage media components; a controller configured to store data into and retrieve data from the storage media components according to commands received in the data storage device; an address map configured to map between: logical addresses specified in the commands received in the data storage device, and physical addresses of memory cells in the storage media components; and an artificial neural network configured to receive, as input and as a function of time, operating parameters indicative a data access pattern, and generate, based on the input, a prediction to determine an optimized operation for wear leveling among memory cells in the data storage device. The controller is configured to perform the optimized operation for wear leveling based on the prediction.

Abstract: A used battery is discharged for a short time from a first Open Circuit Voltage (OCV1) to a second OCV2 and the discharge current ?Q measured. OCV1 is input to a calibration curve model to obtain a first modeled State of Charge (SOC1) value, and OCV2 is input to the calibration curve model to obtain a second modeled SOC2 value. The State of Health (SOH) is calculated as ?Q/[Qnew×(SOC1?SOC2)], where Qnew is the battery capacity when new. The used battery is sorted for reuse or disposal based on the SOH value. The calibration curve model is obtained by Artificial Intelligence (AI) modeling of OCV, SOC datapoints from fully charging and discharging used batteries. Only OCV values within a target region having a low first derivative of SOC as a function of OCV are modeled, and OCV1 and OCV2 are within this target region.

Abstract: Systems and techniques for predictive data analytics are described. In a method for selecting a predictive model for a prediction problem, the suitabilities of predictive modeling procedures for the prediction problem may be determined based on characteristics of the prediction problem and/or on attributes of the respective modeling procedures. A subset of the predictive modeling procedures may be selected based on the determined suitabilities of the selected modeling procedures for the prediction problem. A resource allocation schedule allocating computational resources for execution of the selected modeling procedures may be generated, based on the determined suitabilities of the selected modeling procedures for the prediction problem. Results of the execution of the selected modeling procedures in accordance with the resource allocation schedule may be obtained. A predictive model for the prediction problem may be selected based on those results.

Abstract: Sequence predictors may be used to predict one or more entries in a musical sequence. The predicted entries in the musical sequence enable a virtual musician to continue playing a musical score based on the predicted entries when the occurrence of latency causes a first computing system hosting a first virtual musician to not receive entries or timing information for entries being performed in the musical sequence by a second computing system hosting a second virtual musician. The sequence predictors may be generated using a machine learning model generation system that uses historical performances of musical scores to generate the sequence predictor. Alternatively, or in addition, earlier portions of a musical score may be used to train the model generation system to obtain a prediction model that can predict later portions of the musical score.

Abstract: Methods and apparatuses to manage working states of a data processing system. At least one embodiment of the present invention includes a data processing system with one or more sensors (e.g., physical sensors such as tachometer and thermistors, and logical sensors such as CPU load) for fine grain control of one or more components (e.g., processor, fan, hard drive, optical drive) of the system for working conditions that balance various goals (e.g., user preferences, performance, power consumption, thermal constraints, acoustic noise). In one example, the clock frequency and core voltage for a processor are actively managed to balance performance and power consumption (heat generation) without a significant latency. In one example, the speed of a cooling fan is actively managed to balance cooling effort and noise (and/or power consumption).

Abstract: A method and apparatus to record one or more customization messages in a storage are described. Each customization message may include one or more predicates specifying applicability of the customization message for a plurality of objects. An operation on the objects may be performed to generate a configuration of a device in response to receiving an event. The configuration may include the objects. Each customization message may be selectively applied to the objects in the configuration to customize the configuration. An object may be updated via the customization message if the predicates match the object in the configuration. The device may be configured via the customized configuration.

Abstract: A driving instability determination device is provided to improve the precision in detecting the driving instability. The driving state determination section determines whether the state is a prescribed driving state by determining whether the information of the operation state of the driving operation unit and the vehicle state as the running state data is disturbed. Based on the running state data for detecting the unstable state of the driver, the running state distribution computing section excludes the running state data when the state is determined to be the prescribed driving state, and the running state distribution computing section computes the first and second running state distributions in different time ranges. The driving instability determination section determines the instability of the driving from the difference between the two computed running state distributions.

Abstract: To perform updating of maximum values and minimum values of measurement data with a simple procedure without incurring an increase in the computational load of an arithmetic processing element such as a microcomputer. When processing is started, a most recent maximum value stored in a nonvolatile storage element is written to a maximum value-use variable Xmax and a positive maximum value is written to a minimum value-use variable Xmin. Each time temperature data is acquired, a value of acquired data Xk and a most recent minimum value Xmin are compared and the smaller value is set as a new minimum value Xmin. Each time updating of this minimum value is repeated a predetermined number of times of processing Ns, the minimum value Xmin at that point in time and the maximum value Xmax are compared and the larger value is set as a new maximum value Xmax.

Abstract: A method for monitoring the sensors in a vehicle control system. The method includes identifying a plurality of potential faults, identifying a plurality of measured values, and identifying a plurality of estimated values based on models in the control system. The method further includes identifying a plurality of residual error values as the difference between the estimated values and the measured values. The method also defines a plurality of fuzzy logic membership functions for each residual error value. The fuzzy logic membership functions are adaptive in that they change depending on the vehicle operating region, i.e., the non-linearity level of the vehicle, and the vehicle operating conditions, i.e., steady state verses transients. A degree of membership value is determined for each residual error value based on the membership functions. The degree of membership values are then analyzed in a fuzzy logic reasoning system to determine whether a potential fault exists.

Abstract: Methods and apparatuses to manage working states of a data processing system. At least one embodiment of the present invention includes a data processing system with one or more sensors (e.g., physical sensors such as tachometer and thermistors, and logical sensors such as CPU load) for fine grain control of one or more components (e.g., processor, fan, hard drive, optical drive) of the system for working conditions that balance various goals (e.g., user preferences, performance, power consumption, thermal constraints, acoustic noise). In one example, the clock frequency and core voltage for a processor are actively managed to balance performance and power consumption (heat generation) without a significant latency. In one example, the speed of a cooling fan is actively managed to balance cooling effort and noise (and/or power consumption).

Abstract: The method for generating an integrated guidance law for aerodynamic missiles uses a strength Pareto evolutionary algorithm (SPEA)-based approach for generating an integrated fuzzy guidance law, which includes three separate fuzzy controllers. Each of these fuzzy controllers is activated in a unique region of missile interception. The distribution of membership functions and the associated rules are obtained by solving a nonlinear constrained multi-objective optimization problem in which final time, energy consumption, and miss distance are treated as competing objectives. A Tabu search is utilized to build a library of initial feasible solutions for the multi-objective optimization algorithm. Additionally, a hierarchical clustering technique is utilized to provide the decision maker with a representative and manageable Pareto-optimal set without destroying the characteristics of the trade-off front. A fuzzy-based system is employed to extract the best compromise solution over the trade-off curve.

Abstract: A method, system, and computer program product for predicting the functional availability of a complex system is provided. Parameters of the complex system are converted from a plurality of binary values to at least one prognostic vector. At least a portion of a binary input expression is converted into an equivalent fuzzy output expression, the fuzzy output expression operable on the at least one prognostic vector.

Abstract: A system, method, and article of manufacture is disclosed for determining optimal parameter settings for a business initiative testing model used for testing initiatives for business locations included in a business network. In one aspect, a method is disclosed that includes defining a first test type of a business initiative testing model having a set of parameter settings. Each parameter setting may include a set of one or more parameter setting options. The method may also include performing virtual tests on a set of virtual test sites based on the defined test type. Each virtual test site may reflect a selected business location in the business network. Also, the method may include determining a set of optimal parameter settings for the first test type of the business initiative testing model based on results from the virtual test.