MyQuery1_100.csv

appln_id;appln_title;appln_abstract
199;method for measuring the thickness of a film hose;the method involves scanning a film tube (16) such that individual measurements are implemented at measuring positions distributed over breadth of the film tube. total thickness of two segments of the film tube is measured, during measurement. a neural network (26) is trained with measured values for the total thickness that is obtained in simulated or real measuring processes with known thickness profiles of a film. the measured values are input into the neural network for calculating a thickness profile (pj) of the film. an independent claim is also included for a device for measuring a thickness profile in a blown film line.
9705;mechatronic-based inverter;a mechatronic-based converter uses an integrated artificial intelligence optimization technique to minimize the total harmonic distortion and maximum flat efficiency for the entire range of load, and to a resonant circuit within the inverter. the performance of the inverter is further improved by injecting voltage harmonics to increase the first harmonics. inverters of the present invention can be stacked to form a multi-level inverter controlled by space vector pulse width modulation.
25929;method and system for supporting a decision-making process;"a method for supporting a decision-making process in a time critical scenario managed by a distributed workflow consisting of a plurality of distributed nodes, the method comprising: \n - assessing a given situation with available information to establish confidence percentages for possible decisions associated with the given situation and the distributed workflow; \n - creating and providing a distributed workflow architecture that allows the distributed workflow to use the confidence percentages to enable a decision maker to get knowledge of a best possible course of action when executing the distributed workflow, \n wherein fuzzy logic is used to compute and maintain the confidence percentages for the possible decisions based on the available information. furthermore, an appropriate workflow management system is proposed."
44330;apparatus and method of calibrating for a modeling tool and modeling tool incorporating such an apparatus;the apparatus has a decomposing unit (16) to decompose outputs (s) of a modeling tool and observations (o) from the tool in independent components. a neural network (18) processes data from the tool to modify the outputs according to acquisition of modifications, during a training phase, to be provided to the outputs for making the outputs to correspond with the observations. independent claims are also included for the following: (a) a calibrating method for a modeling tool (b) a computer program recorded on a data storage medium including instructions for executing a calibrating method.
46934;intelligent biometric radar system;embodiments of a biometric radar system and method for identifying a person's positional state are generally described herein. in some embodiments, the biometric radar (100) includes phase adjusters (108) to phase adjust a sequence of radar return signals received through two or more receive antennas (102) to force coherency against stationary objects and remove at least some phase noise due to the stationary objects. the biometric radar also includes a signal processor (110) to segment the phase adjusted radar return signals into a plurality of multi-resolutional doppler components. each multi-resolutional doppler component may be associated with one of a plurality of biometric features (122). the biometric radar system also includes a neural network (112) to combine and weight the segmented radar returns for each biometric feature to generate weighted classifications (115) for a feature extraction process. biometric radar system (100) may determine whether the person is walking, talking, standing, sitting, or sleeping.
65164;neural network constructing method for identifying e.g. face of image, involves labeling neural network by labeling unit, where unit associates weight to neuron by embedding signature of initialization image in neural network;the method involves obtaining an assembly of initialization image for each membership class to be processed during an initialization phase (11). a signature is associated to a region of interest in one of initialization images. a neural map is acquired using signatures for delivering an initialized neural network. the neural network is labeled by a labeling unit during a labeling phase (12), where the unit associates a weight to neuron for one of the membership class by embedding the signature of the initialization image in the neural network. independent claims are also included for the following: (1) a device for constructing a neural network for recognizing a membership class of an image to be recognized (2) a computer program product comprising program code instructions for implementing a neural network constructing method (3) a data medium comprising a neural network (4) a method for recognizing an image using a constructed neural network (5) a device for recognizing the image using the constructed neural network (6) a computer program product comprising program code instructions for implementing an image recognizing method.
77331;system and method for similarity search of images;a system and method for an efficient semantic similarity search of images with a classification structure are provided. the system and method provide for building a semantic classification-search tree for the plurality of images (202), the classification tree including at least two categories of images, each category of images representing a subset of the plurality of images, receiving a query image (204), classifying the query image to select one of the at least two categories of images (208), and restricting the search for the image of interest using the query image to the selected one of the at least two categories of images (210).
198665;circuit testing system;the present invention relates to the field of circuit assembly testing systems and provides improved systems and methods for debugging circuit test systems and diagnosing faults in circuit assemblies. an expert system (74) derives possible root causes of test failures, predicts test results based on these possible root causes and uses factual observations to refute inconsistent hypothetical root causes. tests useful in refuting inconsistent hypothetical root causes are devised and run automatically by the system. <image>
209263;modelling tool for chemical processes;a method of amending an interaction complex (12) in a computer displayed graphical model (7) of a biochemical process, said graphical model corresponding to a mathematical representation (6) in which said interaction complex (12) is associated with a flow rate (r) between at least two entity variables (s1, p2) in the process. the method comprises receiving input from a user indicating an amendment of the interaction complex by addition or removal of an interaction object (18) to/from the interaction complex, graphically connecting/disconnecting a terminal point (20) of the interaction object and displaying an updated interaction complex, and, in the mathematical representation (6), associating the updated interaction complex (12) with one single flow rate (r), dependent on the entity variables (s1, p1, s2) now present in the interaction complex. <image>
228409;method of generating a process model;the method involves feeding of article by air, that is converted to form a flame body by combustion process and the position of the systems in the plant is indicated by position variables. a neural network is added in a step and in another step the neural network is trained with the measuring data (km(t)) of the state variables, in which measuring data has input and the output channels. the neural network is tested with measuring data of input and output channels in the third step. an independent claim is also included for a control loop for the regulation of a combustion process of a power plant of refuse incineration plant or cement plant.
263452;improvement of the reproducibility in consumption measurements by standardisation;the method involves recording input variables such as accelerator position, as fuel consumption during a test, and forming a neural network with the recorded variables, where the network specifies an output variable such as fuel consumption, after a training phase. the output variable is simulated by the network trained at a real vehicle using a standardized target curve and/or a speed curve. the simulated output variable corresponds to the real vehicle such that the vehicle accurately follows the target curve.
284567;filter working on image digital signals for video appliances;a filter acting on digital image signals for apparatus of the video type comprises: at least first and second circuit means (2) and (3) adapted to elect an image edge, each said circuit means comprising at least one inferential circuit (c1 and c2) operating on a fuzzy logic, which has at least first and second input terminals and at least one output terminal, and at least first and second comparison elements (s1,s2,s3,s4) each having first and second input terminals and at least one output terminal, said input terminals being intended for receiving discrete digital signals of an image. the output terminals of the first and second comparison elements (s1 and s2) in the first circuit means (2) are respectively connected to the first and second input terminals of the inferential circuit included to said first circuit means, and the output terminals of the first and second comparison elements (s3 and s4) in the second circuit means (3) are respectively connected to the first and second input terminals of the inferential circuit included to said second circuit means. <image>
285030;low-voltage, very-low-power neural network;"a neural network (1) including a number of synaptic weighting elements (15, 17), and a neuron stage (5); each of the synaptic weighting elements (15, 17) having a respective synaptic input connection (11, 13) supplied with a respective input signal (x1, ..., xn); and the neuron stage (5) having inputs (36, 37) connected to the synaptic weighting elements, and being connected to an output (39) of the neural network (1) supplying a digital output signal (o). the synaptic weighting elements (15, 17) are formed by memory cells programmable to different threshold voltage levels, so that each presents a respective programmable conductance; and the neuron stage (5) provides for measuring conductance (33-35, 43-45) on the basis of the current through the memory cells, and for generating a binary output signal on the basis of the total conductance of the synaptic elements. <image>"
285380;fuzzy filtering method and associated fuzzy filter;"the fuzzy filtering of a noise signal comprising a plurality of signal samples ??s(t,k)?? is carried out using as variables the variation of the signal in the considered window and the distance of the samples from a sample to be reconstructed, so as to distinguish the typical variations of the original signal from those due to the noise and to identify the signal fronts. the method comprises the steps of: defining a current signal sample ??s(t)?? from among the plurality of signal samples; calculating a plurality of difference samples ??d(t,k)?? as difference in absolute value between the current signal sample and each signal sample; defining distance values (k) between the current signal sample and each signal sample; determining weight parameters ??p(k)?? on the basis of the difference samples and the distance values by means of fuzzy logic; and weighing the signal samples with the weight parameters so as to obtain a reconstructed signal sample ??o(t)??. <image>"
339390;method of processing test patterns for an integrated circuit;"there is provided a method of approximating the behaviour of an integrated circuit, the method comprising: (a) applying a set of test patterns to a system for testing or simulating an integrated circuit; (b) applying the set of test patterns to a neural network; (c) comparing the outputs of the system for testing or simulating the integrated circuit and the outputs of the neural network; and (d) adapting parameters of the neural network to approximate the behaviour of the integrated circuit on the basis of the comparison. in particular, the system for testing or simulating the integrated circuit may be an automatic test equipment (ate), and the set of test patterns is applied to the integrated circuit via the automatic test equipment. the invention is based on the idea that the dynamic behaviour of the integrated circuit device can be learnt from a set of random test patterns using a neural network. after the learning process has been completed, the ate is able to perform test pattern classification. the ate may thus select test patterns for subsequent simulation or testing of the integrated circuit. preferably, the selected patterns are further optimized using a genetic algorithm. <image>"
344689;state monitoring for machines and technical equipment;the method involves processing measurement data of a measurement channel in time series of state values with mutually different time bases, and calculating a good value extent in respect of the state values for a time series with an upper limit value and a lower limit value in a monitoring phase. the upper and the lower limit values of the time series are calculated by adding or subtracting half a limit value range to or from a state base value (zr) of the time series respectively. independent claims are also included for the following: (1) an expert system for monitoring technical processes, comprising one measurement channel (2) a computer program product for monitoring technical processes.
358808;method and system for automated analysis of nmr spectra;the inventive system constitutes a fully automatic, parameter free nmr interpretation system based on human logic emulation. the inventive method will derive information mainly from an nmr spectrum with maximum confidence and in a similar way as a human expert. this is achieved by the combination of different expert systems that interpret certain nmr spectral features as well as features from a proposed structure. the expert systems are dynamically linked to each other and the analysis is performed iteratively in all directions in a way that the expert systems can utilize all of the interpretations of all expert systems at all times. the expert system may generate not just a single result but rather lists of probability weighted hypotheses.
359423;method and system for controlling an industrial process;a control system (4) for controlling an industrial process (42), comprises an indicator generator (43) configured to determine at least one fuzzy logic based indicator (z) from the measured process variables (y). the control system (4) further comprises a state estimator (44) configured to determine estimated physical process states ( x ) based on the fuzzy indicator (z). for controlling the industrial process (42), the process controller (41) is configured to calculate manipulated variables (u) based on defined set-points (r) and based on a physical model of the process (42) using the estimated physical process states ( x ). combining a fuzzy logic indicator (z) with a model based process controller (41) makes it possible to provide robust indicators of the process states ( x ) for controlling an industrial process (42) in a real plant situation measured process variables (y) possibly contradict each other.
378557;neuro-fuzzy network architecture with on-line learning capabilities and corresponding control method;"the invention relates to a novel neuro-fuzzy integrated architecture which permits of on-line self-training. the architecture comprises at least one microcontroller (11) of the fuzzy type (fuzzyfier/defuzzyfier), dedicated to fuzzy rules computing and integrated monolythically on a semiconductor together with a non-volatile memory (9). also provided within the same integrated circuit, are a microprocessor (5), a volatile memory unit (2), and an arbiter block (3) which is linked to a bus (4) interconnecting the fuzzy microcontroller (11), the microprocessor (5) and said volatile memory unit (2); the arbiter block (3) acts to control access to the memory unit (2) by the microprocessor (5) or the fuzzy microcontroller (11). an additional fuzzy co-processor (6) is connected between the fuzzy microcontroller (11) and the microprocessor (5) for handling the fuzzy logic operations. <image>"
412916;a method for determining an in-focus position and a vision inspection system;the present invention reistes to a method for determining a difference between a sample position and an infocus position, as well as a vision inspection system. in a first step image data depicting a sample is captured. \n next, a feature set is extracted from the image data. \n thereafter, the feature set is classified into a position difference value, corresponding to the difference between the sample position and the in-focus position, by using a machine learning algorithm that is trained to associate image data features to a position difference value.
441236;latent metonymical analysis and indexing [lmai];abstract the present invention relates to latent metonymical analysis and indexing (lmai) is a novel concept for advance machine learning or unsupervised machine learning techniques, which uses a statistical approach to identify the relationship between the words in a set of given documents (unstructured data). this approach does not necessarily need training data to make decisions on matching the related words together but actually has the ability to do the classification by itself. all that is needed is to give the algorithm a set of natural documents. the method is elegant enough to classify the relationships automatically without any human guidance during the process as shown in figure 6 and 7.
442239;open information extraction from the web;to implement open information extraction, a new extraction paradigm has been developed in which a system makes a single data-driven pass over a corpus of text, extracting a large set of relational tuples without requiring any human input. using training data, a self-supervised learner employs a parser and heuristics to determine criteria that will be used by an extraction classifier (or other ranking model) for evaluating the trustworthiness of candidate tuples that have been extracted from the corpus of text, by applying heuristics to the corpus of text. the classifier retains tuples with a sufficiently high probability of being trustworthy. a redundancy-based assessor assigns a probability to each retained tuple to indicate a likelihood that the retained tuple is an actual instance of a relationship between a plurality of objects comprising the retained tuple. the retained tuples comprise an extraction graph that can be queried for information.
456162;real-time face recognition based on subspace and lvq classifier;a real-time face recognition method based on a subspace and a lvq(linear vector quantization) classifier is provided to authenticate a person with accuracy by using the face of the person and recognize various patterns in addition to faces by using a learning theory. a face region is detected from an image inputted in real time(s10). a maximum-minimum normalization algorithm is applied to the detected face region to generate a normalized image on which illumination correction has been performed. pca(principal component analysis) and lda(linear discriminant analysis) are sequentially applied to high dimensional face image data to convert the face image data into a low dimensional characteristic vector(s30,s40). an lvq neural network is learnt from the characteristic vector of a training image(s50). similarity between a representative vector corresponding to the optimum central vector of each class generated through learning and the characteristic vector of the input image is estimated(s60).
464587;q-metric based support vector machine;a support vector machine ( 110 ) with a q-metric kernel function computer ( 112 ) is provided. the support vector machine ( 110 ) exhibits improved performance for classification and regression. pattern recognition systems ( 100,900 ) that use the support vector machine ( 110 ) are also provided. a differential evolution method of training a support vector machine is also provided.
567038;optical vector multiplier for neural networks;an optical vector multiplier which can carry out calculations in linear algebra with the aid of electro- optical modulators of sandwich construction or liquid- crystal fields, such as occur, inter alia, in neural networks. it can carry out operations in linear algebra as quickly as possible, although the matrix is represented by slow liquid-crystal fields or by electro- optical modulators whose cells can be addressed only serially. furthermore, the multiplier can also use the transposed matrix, can calculate the outer product of two vectors and can store the result matrix of the outer product straight away in the area of the cells of the matrix modulator. as a result of these properties, this arrangement is particularly suitable for the widest range of models of neural network and can also be used in a cascaded design for multi-layer networks. these properties are achieved by two rapid electro-optical modulators of sandwich construction, which represent a vector, being arranged rotated through 90 degrees, and this arrangement is followed by a chess-board-like optical modulator, which represents the matrix. with the aid of the vector modulator arrangement rotated through 90 degrees, the outer product of two vectors can also be formed, the result being determined by a detector matrix. this detector matrix may also be located on the chess- board-like optical modulator, each individual detector cell being located in the vicinity of a cell of the matrix modulator. as a result, the information can be stored locally and processed there. <image>
630056;a device which operates on the neural network principle;the invention relates to a device which operates on the neural network principle, the weights of the synapse connections between the neuron elements being directly digitally addressable. the signals between the elements operating as neurons, which are built up as electronic circuits using light-sensitive inputs and a light- transmitting output, are forwarded as optical signals. the synapse weights, that is to say the strength of the connections between the neurons, are controlled by shadowing devices, each comprising a number of shadowing elements (lcd elements) which are either opaque or at least partly transparent, and are directly digitally addressable. a microprocessor performs the activation of the shadowing devices. in order to distinguish between inhibiting and exciting optical signals, two qualitatively different optical signals (inhibiting and exciting) can be processed in conjunction with an additional shadowing device. <image>
638374;magnetic position sensor;the invention relates to the determination of the position of a moveable system with respect to the vertical defined by gravity, for example the position, frequently of interest medically, of the recumbent human body. a very simple, compact sensor is specified in which there is arranged in a guide chamber permanently connected to the system a freely rolling soft magnetic ball whose position therefore corresponds in each case to the lowermost point of the chamber. the position of the ball is determined by applying a magnetic field to the chamber space, and detecting the field of distortion corresponding to the position of the ball by means of a magnetic field sensor. a plurality of devices for various ranges of angular position are specified for practical implementation in the case of the use of up to three field sensors. a neural network is provided in the case of a plurality of sensors for the purpose of common evaluation of their signals.
1398642;method and system of data analysis using neural networks;"a system and method of computer data analysis using neural networks. in one embodiment of the invention, the system and method includes generating a data representation using a data set, the data set including a plurality of attributes, wherein generating the data representation includes: modifying the data set using a training algorithm, wherein the training algorithm includes growing the data set; and performing convergence testing, wherein convergence testing checks for convergence of the training algorithm, and wherein the modifying of the data set is repeated until convergence of the training algorithm occurs; and displaying one or more subsets of the data set using the data representation. in one embodiment, the data representation is a knowledge filter that includes a representation of an input data set. the representation may be constructed during a training process. in one exemplary embodiment, the training process uses unsupervised neural networks to create the data representation. in general terms, the data representation may include a number of coupled, or connected, hexagons called nodes. considering relevant attributes, two nodes that are closer together may be more similar than two nodes that are further apart."
2456259;switched communications system for televoting services and method of subscriber management of a televoting event in a switched communications system;a switch communications system for televoting services, comprising a plurality of service switching points (ssp's) (4) a service control point (scp) (8) and a service management system (sms) (10) connected to the scp for the deployment and management of an executable service logic programming instance (slpi), the sms, scp and the plurality of ssp's together forming an intelligent network. the switched communications system further comprises a file server (24) connected to the sms and to the scp, and a subscriber terminal connected to the server via the telephone network and adapted to enable the entry of scheduling information for the scheduling of the televoting event and to transmit the scheduling information to the sms.
3347510;a pattern recognition device using an artificial neural network for context dependent modelling;a pattern (for example speech) recognition device comprising an artificial neural network set-up having k x m output units and provided for calculating probabilities of observing a feature vector (xt) (12) on a class (qk) (1 </= k </= k) (11) conditioned on predetermined contextual models (cm) (1 </= m </= m) (17), each of said classes being represented by at least one model belonging to a finite set of models (m) governed by statistical laws. said neural network set-up is splitted into a first neural network having k output units and being provided for calculating a posteriori probabilities of said class (qk) given said observed vector (xt), and at least one further neural network having m output units and provided for calculating a posteriori probabilities of said contextual models, conditioned on said class.
3360622;material temperature elevating method for oven, involves determining non-linear hysteresis or linear curve of temperature elevation to material and/or radiated materials by artificial intelligence;the method involves determining non-linear hysteresis or linear curve of temperature elevation to a material and/or radiated materials by an artificial intelligence. microwave or high frequency radiations are managed with respect to limited points of the hysteresis curve or linear curve by the artificial intelligence. the radiations are active and combined with a heating method, where the radiations have a frequency between one hundred to three thousand hertz.
3361204;compressed air installation control method, uses controller employing neural network or fuzzy technique;at least one neural network (8) and/or fuzzy technique are used as self-adapting modeling and optimalization techniques in at least one controller (7). the installation (1) comprises at least one controllable component (2), at least one measuring device (4) and at least one controller for controlling the component depending on the measurement data.
3394943;matrix coder;this coder is designed for computer facilities and artificial intelligence systems and constitutes a supplementary innovation to inventor's certificate no. 46724. it is universal and can replace many intelligence reading, recording and erasing systems, which use conventional methods. the matrix coder consists of crossed x- and y- buses, where the y buses are doubled, and their respective memory components are connected via diodes to the x buses at one point.<image>
3395548;optical n x n switches;the switch is designed for neural networks in computation and communication engineering. it is characterized by improved manufacturing technology, compactness and adjustment. the switch-over unit contains multiple equidistantly positioned in more than one row, electro-controlled elements 1i. they display a full inner light reflection and are formed by two transparent electrodes 2i with the space between them filled with a liquid crystal. the electro-controlled elements 1i are shaped on the contacting surfaces of each two adjacent light prisms 3i.<image>
3897768;system and device for object detection and identification using gamma, x-ray and/or neutron radiation;the invention belongs to systems of identification of remote objects by detect“Ñing gamma, x-ray and neutron radiations, particularly, to systems allowing to identify objects that are concealed or forbidden to transfer, for example, at customs, checkpoints etc.. the task of the present invention is to create mobile and simultaneously high capacity objects monitoring and identification system. moreover, invention task is to make it possible to develop distributed multilevel system, as for departmental usage, and open system for common usage. the set problem is solved by that the detection unit is made separately with a micro controller and data transfer device, the preprocessing unit is supplied with a channel for data acquisition from detection unit, and processor, and display unit and two-way channel of communication with object identification expert system. the set problem is solved by that the information processing unit is made of two hierarchic separate parts, interconnected by communication channel, one of which is preprocessing unit/units, and second part is expert system, that in case of need can connected by communication channel with the first part, and is located separately with all preprocessing devices service capability.
3897776;method of object identification;"the invention belongs to the field of remote object identification by its passive and/or active radiation, namely, the systems allowing to identify objects including the concealed ones. the goal of the invention under consideration is to develop a mobile and yet highly-efficient object detection and identification system by gamma, x-ray and neutron radiation. besides, the other objective of the proposed invention is to make it possible to create a distributed multilevel system for a departmental use as well as an open system for common use. the problem put by is solved as follows: the expert system is designed to be multilevel. at a low level, the capacity of the portable computer sensor of the expert system is used; at a higher level - functioning of the local network of the expert system through communication links is realized; and the next level represents the global specialized expert system performance in real time. the transference from a lower level to a higher level takes place in the case of an object identification vagueness. there are other differences from the prototype. thus, usage of all the features allows to solve the set problem - to develop a mobile yet highly efficient object registration and identification system."
4235900;digital servo-valve;an hydraulic rotary valve is provided which permits the accurate control in an open loop system of the position of a valve plate in the rotary valve for directing the flow or pressure between multiple flow paths. mechanical centering means are provided for returning the valve plate to a predetermined closed position whenever power is turned off or lost to a stepper motor comprising valve actuating means. a stepper motor is linked to the valve plate and machine intelligence means for controlling the operation of the stepper motor are provided, including means for registering the position of the valve plate when mechanically returned to a predetermined closed position, determining the required number of electrical pulses at the desired frequency sufficient to activate the stepper motor for a predetermined number of degrees of rotation of the output shaft to advance or return (in clockwise or counterclockwise rotation) the valve plate to a desired position. no feed back sensors are required to constantly measure the actual position of the valve plate.
4246804;expert system and method for making decisions in accordance with the decisions of a mentor;this invention relates to an expert system and method for decision making using computer generated paramorphic models of an expert's decisional process within the sphere of a specific problem, whereby the computer system of this invention is able to generate an internal representation of the logical processes of the expert, derived from representative decisions of the expert.
4259754;method for obtaining information in an expert system;at9-86-007 a method for use in an expert system which selectively allows the system to avoid asking the user a question by providing the answer to that question based on related information that may have been previously attained in the system. the method involves providing an action attribute that can be attached to any node in the rule tree. the attribute is assigned to a node in the tree which provides an answer to a class question based on processing various other dependent nodes. when the answer is obtained, the action attribute then causes all other dodes in she rule base referencing the same class question to be set to the same answer. the user is therefore only requested to supply information as a last resort.
4306265;expert system or production rule processor;many attempts have been made to design a suitable computer architecturefor processing production systems in parallel and/or in real time. this invention is a processor that can execute production systems such as expert systems or rule based algorithm in real time by processing the rules in parallel. it is based on an arrangement of special gates that permit the firing of several rules concurently. it also does the match of the premisses of rules with the input or conclusions of fired rules in parallel. once programmed with a production system, the arrangement of gates becomes an analog processor for that particular production system. several variation or improvement are possible for application to particular fields such as control systems, expert systems, logic programming. the differences permit simpler designs when backward chaining, negation or arithmetic capabilities are not needed.
4327807;mobile user position locating system;a method and system for locating a mobile user of one or more mobile users while on a call in a wireless telecommunication network utilizes a decision network that determines if the call signal is propagating through a repeater station. when the call is propagating through a repeater station, the decision network alters the signal measurement parameters to correspond with the location of the mobile user relative to the repeater station co-ordinates. by revising signal measurement parameters to compensate for repeater stations, the present invention provides for improved position estimates of the location of the mobile user in the network. for multiple cell soft handoff conditions, the decision network utilizes trained neural networks.
4335750;neural network signal processor;a neural network signal processor (nsp) (20) that can accept, as input, unprocessed signals (32), such as those directly from a sensor. consecutive portions of the input waveform are directed simultaneously to input processing units, or 'neurons' (22). each portion of the input waveform (32) advances through the input neurons (22) until each neuron receives the entire waveform (32). during a training procedure, the nsp 20 receives a training waveform (30) and connective weights, or 'synapses' (28) between the neurons are adjusted until a desired output is produced. the nsp (20) is trained to produce a single response while each portion of the input waveform is received by the input neurons (22). once trained, when an unknown waveform (32) is received by the nsp (20), it will respond with the desired output when the unknown waveform (32) contains some form of the training waveform (30).
4377565;neural networks;the present invention relates to adaptive information processing systems, and in particular to associative memories utilizing confidence- mediated associations, and especially neural network systems comprising an auto-organizational apparatus and processes for dynamically mapping an input onto a semantically congruous and contemporaneously-valid, learned response. in particular the present invention relates to such an associative memory system in which provision is made for improving the congruence between an associative memory, by impressing a desired response on an associative memory mamapping based on complex polar values.
4398912;automatic controlling device of burners of a shaft furnace utilizing fuzzy logic;a shaft furnace for melting solid copper into molten copper has so far been controlled by manual operation with reference to the actual storage quantity of the building furnace. the burner air pressure of each zone of the shaft furnace is controlled by the actual storage quantity and the time change of it using fuzzy logic. the temperature of the molten copper is adopted as another input signal. the proportion of burner air pressure of the zones is revised by the temperature of the molten copper. automatic control based upon the present invention decreases the fluctuation of the storage quantity of the holding furnace.
4401168;artificial intelligence pattern-recognition based noise reduction system for speech processing;a system is provided to reduce noise from a signal of speech that is contaminated by noise. the present system employs an artificial intelligence that is capable of deciding upon the adjustment of a filter subsystem by distinguishing between noise and speech in the spectrum of the incoming signal of speech plus noise. the system does this by testing the pattern of a power or envelope function of the frequency spectrum of the incoming signal. the system determines that the fast changing portions of that envelope denote speech whereas the residual is determined to be the frequency distribution of the noise power. this determination is done while examining either the whole spectrum, or frequency bands thereof, regardless of where the maximum of the spectrum lies. in another embodiment of the invention, a feedback loop is incorporated which provides incremental adjustments to the filter by employing a gradient search procedure to attempt to increase certain speech-like features in the system's output. the present system does not require consideration of minima of functions of the incoming signal or pauses in speech. instead, the present system employs an artificial intelligence system to which is input the envelope pattern of the incoming signal of speech and noise. the present system then filters out of this envelope signal the rapidly changing variations of the envelope over fixed time windows.
4422017;parametric control device;an adaptive control system for mechanical and dynamic systems being transferred from an initial to a desired final state by control devices. the control system comprises an adaptive contraller (e. g. in the form of an artificial neural network) for providing scaling parameters p, from inputs to the controller of coordinates for desired final and initial states, to a function generator which provides prototypical time functions scaled by the above parameters, those signals being provided directly via connections to the control devices which generate the required control signals. the adaptive control system may be used for a robotic manipulator having a number of rigid links interconnected by joints, the links being moveable by actuators. the manipulator's kinematics and dynamics, including joint interaction effects, are taken into account by this adaptive control system and it controls a manipulator's movements without the need for any real-time feedback circuity or any explicit calculations of inverse kinematics or inverse dynamics.
4448634;method and apparatus for color recognition and improved color reproduction;11 this invention is a method and apparatus for the recognition of colors. the method is based on the mapping of the three color primaries onto the chromaticity diagram. the color is identified according to a set of rules described in the patent. the method can be utilized for selective color adjustment to produce true-to-life color images. the method can also be applied to the recognition of objects according to color in machine vision problems. a method for collecting color primaries for a specific color tone is described in the patent. these values are then transformed into the non-physical primaries of the chromaticity diagram (x,y) which are then used as training data to a neural network classifier.
4469696;system for assessing air quality;system for assessing the presence of gases and physical components in air, comprisinga number of different sensors, each sensitive to one or more different gases and/or physical components and each able to supply a signal varying with the concentration of the respective gases or physical components concerned, and means for processing the signals supplied by said sensors. said processing means are embodied as a neural network to which the sensors are connected, in which all sensor signals are combined into one single output value, which network is adapted and programmed during a learning period in which the output value obtained for predetermined air samples is repeatedly compared with a similar value supplied by a reference panel of trained human beings or animals for the same air samples until both values are within a predetermined margin identical.
4470580;method and apparatus for high resolution three dimensional scanning and non-linear assessment of surfaces;a method and an apparatus are provided for automatically scanning and assessing surfaces, where the scanning is in three dimensions and with resolution in the micrometer range, and the assessment is performed by way of a neural network executed in real time, in parallel to the pointwise scanning of the surface under examination. infrared laser light is used for scanning and obtaining the lateral coordinate z is achieved by keeping track of the voltage required to keep the laser light beam focused on the surface under examination, relative to a known initial condition. longitudinal and latitudinal coordinates x and y are obtained by keeping track of number of steps required to turn the actuators' shafts to a given angle, in relation to a known initial condition. a neural network is used for solving the problem of pattern classification, its calculations based on stored table of parameters (weights) that are prescribed during the development stage of the apparatus. the assessment decisions are made by way of superimposing the results of neural network calculations to a key-map of outcomes, stored in memory. it is suggested that different attachments are used to accommodate a multitude of different applications with one base unit.
4494941;method and apparatus for automatically and reproducibly rating the transmission quality of a speech transmission system;"a method for automatically and reproducibly rating the transmission quality of a speech transmission system, comprising the steps of: generating a test signal containing a predetermined recorded voice signal; transmitting the test signal by the speech transmission system from a transmitting end to a receiving end; extracting characteristic values from the received test signal; determining a differential pattern corresponding to the difference between the characteristic values and predetermined reference values; and feeding the differential pattern to a neural network that has been trained for classifying patterns according to a number of predetermined transmission quality classes."
4504483;heat pump system;the presence of heat pump systems has been with us for decades. the science of energy management and today's environmental awareness prompted us to device a new heat pump system especially tailored to the domestic hot water market. 'simplicity' is the key feature of this system| it embodies a small compressor, a tiny circulator, a heat exchanger, and an evaporator. a portion of the evaporator is wrapped around the compressor thereby extracting heat from the compressor, while the heat exchanger transfers the heat to the circulating water. a fuzzy logic control is used to optimize the system.
4511000;fuzzy logic controller;this invention relates to the design and implementation of real-time knowledge-based fuzzy controller system for general purpose industrial applications. the controller is implemented in three technological bases (software, vlsi and neural network). in another aspect the invention relates to the design of an intelligent system which implements decisionmaking procedure based on approximation, association and reasoning with fuzzy patterns and their clearness assessments rather than the use of max-min computation over fuzzy relational matrices usually applied in approximate reasoning procedures in similar systems. according to this design the fuzzy controller is a device which operates at the level of fuzzy pattern processing where each control task is expressed through the attributes of fuzzy patterns (syntax and content, domain and clearness measure), and the elementary cognitive activities which the human performs with these patterns such as: recognition, generation, assessment, association, pattern matching, approximation, etc. the fuzzy controller utilizes a new scheme for approximate reasoning with fuzzy patterns called the clearness transformation rule of inference (ctri). this mechanism offers a spectrum of advantages broadening the functional intelligence of the controller to handle complex human tasks, improving the performance and accuracy of the controller and reducing the computational requirements. the fuzzy controller presented in the invention can be applied in general engineering practice, financial, medical, process control, pattern recognition and other areas requiring knowledge-based bahaviour in decision making.
4513621;method of predicting residual chlorine in water supply systems;"a method of configuring an artificial neural network for predicting residual chlorine concentration in water contained in a storage tank of a water supply system, the storage tank having an inlet for admitting water into the tank and an outlet for discharging water from the tank. the method of the invention comprises the steps of (a) collecting historical data representative of selected operational and water quality parameters associated with chlorine demand in the tank; (b) scaling the data collected in step (a); (c) organizing the data scaled in step (b) in the form of a set of time-lagged data; and (d) processing the data organized in step (c) through an artificial neural network having a plurality of nodes arranged to define an input layer, an output layer and at least one hidden layer therebetween, by scanning a window over the set of data, the window having a size corresponding to a sub-set of the data, to associate a predicted value with a respective one of the sub-sets scanned by the window, the predicted value being representative of the residual chlorine concentration at the tank outlet. step (d) is repeated while varying the size of the window and the number of nodes of the at least one hidden layer so as to optimize the predicted value. the artificial neural network is thus configured to recognize a set of data processed therethrough as corresponding substantially to one of the sub-sets of data and to associate with the recognized set of data the optimized predicted value associated with the subset of data."
4538017;expert system method of performing crime site analysis;an expert system method is provided that performs crime site analysis in a criminal activity area to determine a likely center of criminal activity. the method uses distances from related crime sites to determine a probability surfac e for the entire criminal activity area. a target area having highest values of probability becomes the center of criminal activity. the expert system can be us ed to access other crime databases such as witness reports to further define the criminals residence or workplace.
4545929;process and system for tuning the interconnection strengths in an artificial neural network;a process for tuning the interconnection strengths in artificial neural networks (anns) and similar machines. the process first generates a series of anns by simulating the steepest descent process on an error function, each time with one or more of the available observations withheld in order to measure the predictive performance of the ann. finally, the process is repeated without withholding any observations, using the previously obtained information about predictive performance to identify the best performing of the anns generated in the final process.
4550993;hierarchical data matrix pattern recognition and identification system;the present invention relates to a hierarchical artificial neural network (hann) for automating the recognition and identification of patterns in data matrices. it has particular, although not exclusive, application to the identification of severe storm events (sses) from spatial precipitation patterns, derived from conventional volumetric radar imagery. to identify characteristic features a data matrix, the data matrix is processed with a self organizing network to produce a self organizing feature space mapping. the self organizing feature space mapping is processed to produce a density characterization of the feature space mapping. the self organizing network is preferably completely unsupervised. it may, under some circumstances include a supervised layer, but it must include at least an unsupervised component for the purposes of the invention. the 'self organizing feature space' is intended to include any map with the self organizing characteristics of the kohonen self organizing feature map. the frequency vector of a cappi image that has been derived is a data abstraction that can be displayed directly for examination. in preferred embodiments, it is presented to a classification network, e. g. the standard cpn network, for classifying the density vector representation of the three dimensional data and displaying a representation of classified features in the three dimensional data. a novel methodology is preferably used for incorporating vigilance and conscience mechanisms in the forward counterpropagation network during training.
4561553;an intelligent agent for the dynamic generation/retrieval of descriptive/display software modules;"here a novel intelligent agent is devised for the dynamic generation/retrieval of descriptive/display (multi-media units, web pages, graphic user interfaces (g uis), cd-rom information, etc.) computer software modules. the overall software system is bas ed on the proper integration of an active input interface with an intelligent inference sy stem and an output interface. the intelligent inference system is the core of the intelli gent agent and consists of an expert system, a fuzzy logic inference system, and an adaptiv e neural network to constitute an appropriate co-active adaptive neuro fuzzy inference sy stem. the intelligent agent is devised such that a human being will interact with a user f riendly active input interface by answering questions of a crisp/fuzzy nature, and/or selecting options via a crisp/fuzzy input icon. the software system will then instantaneously gene rate via the output interface a dynamic descriptive module. this module can be instantane ously accessed by the user and be retrieved to be displayed as preferred at any time; and/or also be instantaneously retrieved to be displayed as preferred by other users in othe r (which can be distant) server sites at any time."
4570583;expert system and methodology;the present invention is an expert system for optimizing and maintaining a process, employing methods of capturing and implementing knowledge from experts and consolidating same into a rule-based system capable of application by operators without knowledge engineering expertise. ideally, the system may be computer implemented, and may interface directly with a process control system.
4582155;apparatus and method for filling various containers with liquid or viscous materials;"the containers are filled with product whose flow rate, pressure, and density vary; products can range from liquid to paste, with or without chunks. product is channeled partly toward the control valve and partly into monitored pressure anal compression chambers. the first stage in filling the container is accomplished at a faster flow rate (which depends on tie consistency of the substance), while the last stage is slower for the sake of precision in attaining the target weight. an expert system subjects all process and product variables to servo control in order to provide the efficiency and the yields expected of a packaging process."
4623854;a self-tuning kalman filter;a self tuning kalman filter comprises an artificial neural network integrated to the kalman filter structure for estimating and/or predicting a state vector of a dynamic system to be controlled, without any a-priori information on the measurement noise and disturbances statistical properties and without any a-priori information about parameter variations of the dynamic system model.
4629613;computer/numerically controlled machines;a computer-numerically controlled material removal machine, such as a milling machine, lathe, grinding machine, shaping machine, or the like, has drive units for moving the workpiece and the cutting tool to cause the tool to remove material from the workpiece and a computer-numerical control unit for controlling the drive units so as to optimize material removal rates. in some embodiments, the control unit senses electrical energy consumption rate at a cutting tool drive motor and vanes either or both of cutting tool speed and workpiece feed rate to maintain the energy consumption rate substantially equal to a preset reference level. in other cases, the control unit derives a signal representing force exerted between the cutting tool and the workpiece, whether by sensing power or by using a dynamometer to measure force between the workpiece and the cutting tool, and controls a plurlity of variables, conveniently by means of a fuzzy logic controller.
4642771;methods and apparatus for controlling communications networks supporting layer 3 services;in methods and apparatus for controlling a communications network supporting a layer 3 service, data characterizing activity of the network both in layer 3 and in at least one layer below layer 3 is collected. the collected data are processed to determine that a reconfiguration of the at least one layer below layer 3 is favourable, and to determine a favoured reconfiguration of the at least one layer below layer 3. implementation of the favoured reconfiguration is initiated. the layer 3 service may be a packet data service, such as internet protocol service, and the layers below layer 3 may include an optical transport layer which is reconfigured based on processing of data collected from both the optical transport layer and the packet data layer. rapid reconfiguration of the optical transport layer according to data collected from both the packet data layer and the optical transport layer reduces over-provisioning of the network needed to meet difficult-to-predict traffic patterns and loss of revenue due to inability to serve traffic with the current network configuration. a fuzzy logic control algorithm is described.
4645978;method for secure user access to multiple network accessiblesecure files;a method of identifying a session formed between a client system and a netwo rk accessible server system for providing secure access to multiple network accessible secure files is disclosed. according to the method, a request including a session identifier an a hashed value reflective of the session identifier is transmitted to a server. the server then transforms the session identifier using a one-way transformation and the result is compared to the received hashed session identifier. when the comparison result is indicative of a mat ch within predetermined limits, processing the request to provide results and transmitting the results to the client. in an embodiment, the transform is a non-reversible transform provid ed by a neural network. optionally, the neural network is modified at intervals in order to reduce a risk that someone will decode the transform technique.
4652284;mentor on call;"the invention is novel, has utility and possesses ingenuity in that: 1.) it is a managed distance learning system which comprises three inventive steps to facilitate distance learning; 2.) the three inventive steps in summary are: a.) a meaning parser; b.) a lexical analyzer; c.) a course development module; 3.) these steps allow a student to write a test in an expanded sub-set beyon d true-false or multiple choice by allowing narrative whereby the invention is able to grade the student's retention of the subject matter utilizing basic artificial intelligence; 4.) the course development module allows a teacher to create course content simply and effectively utilizing windows 95, 98, 2000 or nt; 5.) the first step involves a teacher producing course content with his or h er personality stamped thereon within the parameters of instruction or parameters of informational dissemination set by the sponsoring body whether it be educational, corporat e, university level, professional body or commercial; 6.) the second step involves the student, learner or consumer responding in narrative form whether by e-mail, voip or telephone with voice recognition technology to answer a question beyond the simple true-false or multiple choice sub-set; 7.) the meaning parser and lexical analyzer then produces for thelearner or student a grading that can be used by the teacher for plotting the progress of the student or learner outside of the distance learning system and delivered to the sponsoring body."
4658028;devastator;the present invention is a government and companies security system guard. this device is unique and have only one type common the pc o/s operating system. devastator (see fig d001) is totally independent in his connection with the computer or a server, he doesn't operate as the same programs then windows operating or other in any form. in him everything is different the language, the programs in the structure of the composition he is an easy reading system e.r.s also the other process an artificial intelligence (hebrotek) system controller unique system of command and director of all access and information process. it is made of plastic and aluminum and other...electronic...
4662797;method and apparatus for 3d visual cone examination;the tasks of examining 3 dimensional (3d - in the rest of the text) visual cone are: assembly, display, analysis and generating report, and may be performed using computer, (desk-top or laptop), head - mounted display, monitor, printer, keyboard and a mouse. such apparatus is inexpensive, portable, and comfortable for the patient. the method utilizes an ordinal set of predefined and controlled 3d objects (with no repetition allowed), like we are seeing in the real life, as opposed to the current methodologies using specs of lights. combining main vision processes detection -> recognition -> identification with 3d objects, the system and the method are capable of uncovering consequences of an accident, illness, stroke, transient ischemic attacks and their impacts on visual cone/field, even on unsuspecting patients. it is known that some patients with scotoma may partially recover vision functions. some patients may pass successfully humphrey/goldmann test and yet, still have impaired visual cone/field i.e. they cannot see 3d objects or some of their properties and behaviour like colour, or texture or motion etc. in addition, an expert system is provided for optional use of medical professionals. such system is capable of advising medical professionals of the actual loci area in our brain where damage occurred.
4676194;method and apparatus for estimating odor concentration usingan electronic nose;a system and method for obtaining an estimate of the concentration of an odo r in an air sample from data obtained by evaluating the sample with a sensor-array type electronic nose. principal components analysis is applied to a set of air sample data includi ng sensor-array data obtained from evaluating the air sample with the sensor-array type electroni c nose and measurements of the humidity of the air sample and clean reference air used by the electronic nose to obtain a predetermined number of principal components of the air sample data. the principal components obtained from the air sample are used as inputs to a neural network to obtain as output an estimate of the concentration of the odor in the air sample. the neural network uses parameters obtained by using an olfactometer to obtain discrete measurements of odor concentration from each of a plurality of calibration samples of air containing the odor, using the sensor-array type electronic nose to obtain a discrete set of calibration data from each of the calibration samples, each set including sensor-array data and measurements of the humidity of the calibration sample and the clean reference air used by the electronic nose, applying principal components analysis to each set of calibration data to obtain a discrete set of the predetermined number of principal components, and training a neural network using the sets of principal components as input data and the corresponding measured odor concentrations as expected output to obtain the parameters of a trained neural network.</sdoab >
4702662;method and vlsi circuits allowing to change dynamically the logical behaviour;a method, named the product terms method that allows to implement and/or to change dynamically the logical behaviour of any combinational or synchronous sequential circuits has been presented. the method uses for ever y product term of logical equations, expressed as a sum-of -product, three memory words: mask word, product word and function word. the words of all product terms are ranged in a table, which characterize the logical behaviou r of the circuit. the invention provides the hardware structure of several new types of vsli circuits, having re-configurable logic behaviours. a first embodime nt implements any type of multiple output combinational circuit, a second embodiment implements any synchronous sequential circuit with only clock inp ut and, a third embodiment implements any synchronous sequential circuits with data inputs and clock input. an expert system capable to generate the tables used for the product terms method by interpreting and analysing the logical equations either supplied by the user or found in a database is also provided.
4707052;web user profiling system and method;a web user profiling system comprising a profile editor for user-controlled profile creation and management, a web classification tree comprising a keyword language, the tree providing a hierarchal structure for classifying a user's web behavior, a web behavior analysis engine for classifying pages leveraging the tree, a page stream analysis engine for filtering the classified pages into groupings to provide profile information and a profile gateway comprising a security manager, the gateway providing permissioned remote access to a user's profile.
4733243;expert system adapted data network guidance engine;an expert system adapted data network guidance engine. the invention allows as agent to interact with a customer and to provide selection and recommendation of data network products and/or services for the customer. the invention allows for the use of agents of varying skill levels, including relatively low skill level, without suffering deleterious performance. the data network guidance engine is operable to perform generation and selection of configurations that are generated using various heuristics. if desired, numerous iterations are performed within each of the heuristic operations. the data network guidance engine is operab le to select recommended configurations from among a number of potential options. in addition, compatible configurations may also be identified. the data network guidance engine is o ne of the underlying engines within the expert system that allows the agent to provide real time interaction with a customer and to provide a real dune recommended solution to that customer.</ sdoab>
4747702;method and apparatus for monitoring the condition of a fetus;a method and an apparatus for monitoring the condition of a fetus to assess a degree of risk of developing a permanent neurological condition are provided. a signal indicative of a fetal heart is processed to derive a degree of risk of developing a permanent neurological condition. the degree of risk of developing a permanent neurological condition indicates a likelihood that the condition of the fetus belongs to a class in a group of classes, where the classes in the group of classes are associated with pre-defined fetal conditions characterized by a measure of base deficit and a presence or absence of new-born encephalopathy. data conveying the degree of risk of developing a permanent neurological condition is then released. in one example, a neural network is used to obtain data conveying a likelihood that the condition of the fetus belongs to a class in the group of classes.
4761442;monitoring system and method;mobile station protocol that allows mobile stations to send data to cellular networks even if a jammer is blocking all land station to mobile station communication the end result is a best-effort uplink communication service. the mobile station sods a plurality of times the same data-holding frame over all possible access channels to the network . central server using artificial intelligence and stochastic models to track a remote mobile client equipped with inertial sensors and whose movement is constrained by a set of possible routes on a digital map. a mobile terminal starts by sending to the remote server its initial position and orientation, and then continuously sends to the remote server data kinetic parameters obtained from inertial sensors. temperature and other parameters needed to tune pre-defined stochastic models can also be sent to the server on an as- needed basis. the server software compensates for all non-ideal and induced errors to the received data, extracts various information from the corrected signals, applies the digital map constraints, and provides the tracking user with the possible routes.</s doab>
4782066;intelligent data management system and method;an intelligent data management system and method are disclosed. the system includes a database of stored data, a middleware layer having access to the stored data, and at least one client device for remotely accessing a provided course of action. the middleware layer includes a fuzzy logic knowledge base for generating, updating, or firing fuzzy logic rules and a fuzzy logic inference engine for processing the stored data guided by the fuzzy logic rules to provide the course of action.
4798264;audioptical vortex replication transdigitator;you are embarking on a journey not unlike that of columbus. a discovery of a new frontier so vast and so primitive that it will overwhelm your senses. it is an impending birth of a new technology. a technology that will propel our planet and societies to new heights of grandeur and achievement unlike anything else ever before witnessed by our species. but like all new births, we must now prepare ourselves to take care of this unborn technological embryo. we must prepare a formulae to feed and nourish her to insure her growth is a strong and healthy one. this formulae must consist of a mixture of fiber audio-optical light waves, electric impulses, and a fyberfonic frequency. contained within this formulae will be all the nutrien ts and ingredients to evolve this technological embryo from infancy to quantum childhood. to evolv e her to the level of ai (artificial intelligence). to build a quantum computer platform where her ai can grow and mature. her first step will begin where einstein's e = mc2 left off. it will begin with avort. not the next step, but the next leap...!
4806907;artificial neural network structure optimizer;this invention is a system and iterative non-learning method to determine optimal artificial neural network node and layer count, edge connection structure and transfer function for an artificial neural network. optimality is indicated by the learning effort fo r the network being minimum and the generalization of the artificial neural network on provided data being maximum. a control and display subsystem receives a count of input and outpu t external interface nodes and associated node names from a user. said subsystem also accepts end- conditions for the training of a series of artificial neural networks and establishes, together with a data delivery agent and data mapping agent, a relationship between variables of a data set and input and output network nodes. a network configuration agent and configuration agent controller create a series of artificial neural networks, each network in a series having a different internal nodal structure or transfer function than others in the series. a training agent trains each configured artificial neural network over an epoch of training, for each modified artificial neural network in a series. a data-logger records the training progress. an analyzer computes the improvement or reduction of training efficiency and ability of a particular network structure to generalize on a provided data set, compared to a previous structure. the control and display subsystem, analyzer and configuration and training controller subsequently determine a probable best structure of artificial neural network for a subsequent iteration of network creation and training testing.
4806928;saotar (smart appointment organizer-alerter robot);"as a smart robot/electronic device being named as saotar (smart appointment organizer-alerter robot), it consists of intellectual electronic hardware automations with software features such as voice- recognition even through remote connection, self-organization, self-alerting, self-tracking, self-storing, smart memory recognizer, recaller, voicee-mail-recognizer, & automa ted dial-caller for processing and executing appointments, alarm, telephony call s, e-mails & e-mail calls. convenience, time saving, reducing office/home works, future references /permanent records, environmental friendliness thru reduction of paper use, stress lowering/better office/room environment, health awareness and making a perso n feel authoritative are the idea of inventing saotar. the internal micro- controller/cpu of saotar robot is built in with a number of unique hardware features such as temperature sensor, relative humidity sensor, sound/voice/noise detector, light/darkness sensor, frequency detector, oxygen content/level detector, and air flow detector based on fuzzy logic theory for utilizing to activate alerting appointments & ala rm whenever the input conditions are met by external surrounding environment such as office/room. also, non-fuzzy logic components of time, date & days (mon-sun) are of course primarily used to trigger alerting appointments, alarm, telephony calls, e-mails & e- mail calls. in addition, the appointments, alarm, telephony calls, e-mails & e-mail cal ls are all displayed on many partitive lcd (liquid crystal diode/display) sub-panels simulating in real-life an appointment/call open book for convenient references/remindi ng a person within an office/room instantaneously & visually thus avoiding an y unnecessary misses. the textual message is being flashed on lcd sub-panel while having been activated for playing back the input/recorded audio message which can be input/recorded thru a microphone/answering machine/usb port/firewire/modem rf/ir/blue tooth lan. also, the textual message is being flashed right away on lcd sub-panel when input/recorded audio message (which can be input/recorded thru a microphone/answering machine/usb port/firewire/modem rf/ir/blue tooth lan) without referencing to time, date, week/(mon-sun), month & year. the played-back message is then automatically stored in the ram/rom/eeprom/hard drive/re-writeable cd-rom drive/ re- writeable dvd drive even lcd sub-panel with the texts in in-active mode whe re ccft light is off, displaying clear/dark screen. furthermore, fuzzy-logic electronic devices of temperature sensor, relative humidity sensor, sound/voice/noise detector, light/darkness sensor, frequency detector, oxygen content/level detector, an d airflow detector are designed in saotar on main-lcd panel as an indicator for monitoring display on improving health related causes which may originally contribute t o some of the stresses arising from staying long inside a modern office/room. for example, bright light ---- may cause stress due to being uncomfortable/unable to focus or making human eyes become tired quickly, dim light ---- not only can cause headache also n o good for human eyes sighting especially while concentrating/reading something like mast office works; high frequency (g hz ) - --- could cause cancer in brain cells although at present there's not sufficient scientific proof to support so, but at least it can increase stresses on human body even animal's and reduce ability to concentrate well; oxygen content/level < 15 % ---- can greatly reduce a person's ability to read/write/listen efficiently and can even cause headach e as insufficient oxygen gas inhaled with air into human body/lungs/blood/brain; too much air flow ---- can cause headache or disturbances particularly while concentrating on some office projects, too little air flow ----- can also cause human body to feel uncomfortable since there's no draft in air surrounding an office/room; relative humidity > 80 % ---- can cause headache even bone problem for term, relative humidity < 20 % ---- can cause human body to feel itchy because of the air too dry enclosing the skin; and low temperature ---- makes a person become sick thru catching cold after having exposed to for long, high temperature ---- makes people feel tired by sweating a lot. saotar is a design simulating futuristic conceptual robot thru the integration of modern hi-tech with the state of the art in leading edge applications on office/room work for th e next 30 years to come with capability of verbally understanding/recognizing some of natural/plain/normal linguistic phrases/sentences using instructional comman ds like ordinary/normal people do."
4816756;method and system for indoor geolocation using an impulse response fingerprinting technique;the location of people, mobile terminals and equipment in a mine is of great current interest. in an indoor environment such as a mine (may be generalised to any indoor environment), the multipath caused by reflection from walls, ceiling, floor and objects, and the non-line of sight (nlos) due to the blockage of the shortes t direct path between the transmitter and receiver are the main sources of range measurement errors. the unreliable measurements of location metrics such as rss, aoa and toa/tdoa yield to the deterioration of the positioning performanc e. hence, alternatives to the traditional parametric geolocation techniques hav e to be considered. in this paper, we present a novel method for mobile station location using wideband channel measurements' results applied to an artificial neural network (ann). the proposed system (wbnn-locate) learns off-line the location 'signatures' from the extracted location dependent features of the measured channel impulse responses data (any relevant location dependent parameter may also be used) for los an d nlos situations. it then matches on-line the observation received from a mobile station against the learned set of 'signatures' to accurately locate its position. with this approach, multipath becomes useful since it improves location 'signatures' characterisation, and the presence of a line of sight (los) is no longer essential, unlike in other geolocation techniques. the proposed location system has the characteristic to operate with a single fixed station and may be applied to a three-dimensional environment. the error median distance and the 90th percentile of the error distance foun d with this technique were 1.2 m and 2 m, respectively.
4821294;method for estimating an optimal dosage of bleaching agent to be mixed with wood chips;a method for estimating an optimal dosage of bleaching agent to be mixed wi th wood chips to be fed to a process for producing pulp characterized by a required brightness value. according to a set of wood chip properties characterizing the wood chips as estimated by a measurement system, corresponding wood chip properties data are fed at the inputs of a neural network 12, as well as an initial dosage value of the bleaching agent. the neural network generates a predicte d brightness value for pulp to produce from the inspected wood chips. te brightness predicted value is compared with the required brightness value to generate error data, which is used to optimize the bleaching agent dosage value by minimizi ng the error data. prediction, comparison and optimization steps are repeated with the optimized bleaching agent dosage value until the brightness predicted value substantially reaches the required brightness value, to estimate the optimal bleaching agent dosage.
4835504;graphical user interface for computer-assisted surgery;a system and a method for performing a computer assisted surgery (cas) uses an expert system driven graphical user interface (gui) that displays a series of display pages that provide information on related to respective steps required to perform the surgery. the system displays virtual images of surgical instruments used during the surgery, overlaid on fluoroscopic images of the implant site to assist the surgical team during instrument calibration, and implant preparation and installation. the gui presents the surgical team faith a succession of options that the surgical team responds to using affirmation and negation actions. these actions are associated with an icon presented in a same region of the display pages, and are annotated with text relevant to an immediately presented option, permitting a substantial portion of the cas to be effected using a foot-operated input device.
4841008;recommendations for intelligent data caching;according to the present invention, there is provided a computer system , method and apparatus for making intelligent recommendations for dynamic content caching. in one embodiment of the present invention there is provided a computer implemented method for generating intelligent caching recommendations relate d to dynamic web content for use on a caching system. the method comprising extracting data associated with the dynamic content of interest in accordanc e with a predetermined data model. next analyzing the extracted data in accordance wi th a plurality of certainty factors and a rule based expert system. completing th e analysis and generating a set of caching recommendations from the analyzed data suitable for use by the caching system. implementing the recommendations in the cachi ng system are repeated iteratively, as in a loop, automatically generating intelligent caching recommendations related to the dynamic web content for use on the caching system.
4858412;dynamic scheduling tool for office appointments management;method and system for dynamically scheduling and managing appointments of professional services using artificial intelligence. the appointment schedul e can be shifted, updated and rearranged in real time based on a plurality of inputs.
4865127;clinical data management system and method;a clinical data management system and method using hard c-means clustering and reinforcement-learning to improve data management. physician templates are updated/customized in accordance with witnessed behaviors over time. a hierarchical search engine is used to reduce mouse clicks. a cipher method is also provided that uses a neural network to encrypt/decrypt the clinical data used by the system.
4873249;on the definition, design and implementation of an integrated, global, intelligent capacity agent for telecommunications and unified networks based on quantification and qualification of information by an elementary, transaction based model (convergence and unification of economics and physics through an elementary definition of information: applications;in this description of our invention, many interesting and revolutionary and evolutionary ideas have been launched. please refer to the web site: www.infodynamics- research.org for further detailed explanations. the invention begins by showing a process model for the customer operations and provisioning group of an incumbent local exchange carrier. this is a system being modeled in terms of information flows, based on the quantum definition of information presented later. in this process the correlation between time (and increment al changes in time) with information (in terms of incremental changes in information) are described. in system terms the effects of quantum values of information on entropy (disord er in the system) and changes in entropy with time (as information flows) are modeled. this model is the foundation of the product space for the new products introduced in the second part of this paper. it can be seen that this entire process of provisioning and information flow s can be optimized, if a quantum definition of information, defining quality and quantity of information, and defining information as an elementary force and field, possibly equivalent to the hypothetical higgs field, where the higgs bosons are, in fact, the particle proposed in this paper: infoton. a detailed description of higgs particles and higgs for ce is presented in appendix 2. a strove correlation to the infoton is described by the followin g links: http://pdg.lbl.gov/atlas/etours physics/etours physics09.html http://pdg.lbl.gov/atlas/etours physics/etours physics10.html process optimization, re-definition of information at a quantum level, relationship described between entropy, time and information, all lead to three new products for converging communication networks: (i) an intelligent unified capacity agent, which is an artificial intelligence based expert system (consisting of several knowledge modules, specified below) (ii) an information based/content based billing system (iii) an infoton swit ch based on a principle similar to the heisenberg uncertainty principle, and quantum symmetry and pairing of elementary particles actually applicable to information retention and los s. these products lead to another theoretical arena and a hypothetical proposition (appendix 1): particle nature of information and wave nature of time. this proposition, taking into account information symmetry and completeness and correlation wi th time, directly provides a new evolutionary perspective for economics impacting: price theory. game theory, arbitrage and negotiation economics (nash/cournot equilibriums ), bargaining under uncertainty and dynamic games (please refer to the web site : www.infodynamics-research.org) set of passwords: index page: infoton introduction to process model: beta complete copyright/patent: quark infodynamics research on ip contact centers, firewalls: lepton
4884672;artificial neural network guessing method and game;"a method for guessing, in an electronic game, an object that a user is thinking of, from a set of target objects, after asking the user at least one question, t he method utilizing a neural network structured in a target objects-by-question s matrix format, wherein each cell of the matrix defines an input-output connection weight, and the neural network can be utilized in a first mode, whereby answers to asked questions are input nodes and the target objects are output nodes, and in a second mode, whereby the target objects are input nodes and the questio ns are output nodes, the method comprising the steps of ranking the target objects by utilizing the neural network in the first mode; ranking the questions by utilizing the neural network in the second mode; and providing a guess in accordance with the ranking of the target objects."
4910288;web-based expert system for educational therapy planning;the invention consists of an expert system supporting non-experts in their capacity to develop, implement, and monitor therapy plans. therapy plans in this application are educational and non-medical. the purpose of the therapy plan is to guide the caregiver or therapist in what to do for a client and how to do it. the client is a perso n with a previously diagnosed condition (psychological, cognitive, or physical) which responds to a teaching process. the plans are developed based on expert system analysis of user input. this analysis is reflective of decision making processes in the field s of both special needs education and rehabilitative medicine, including speech langua ge pathology, psychology, physiotherapy, and occupational therapy.
4912992;recommending solutions with an expert system;an expert system is used to recommend a customized solution for a customer. the expert system includes a set of scenarios each of which includes default facts and is associated with a detailed rule base that when applied in isolation to the default facts fully determines a prototype solution. a particular scenario is selected from the set based at least on user input. a customized solution is generated by applying the detailed rule base associated with the particular scenario to facts based at least on the user input and any default facts of the particular scenario tha t complement and do not conflict with the facts that are based at least on the user input. the customized solution is iteratively refined.
4925302;system and method for application balanced scorecard optimizer;there disclosed a system and method for managing an application portfolio. i n an embodiment, a system is designed to provide a balanced, cohesive, end-to-end approach to application portfolio management. taking into account a number of decision drivers for application portfolio management (e.g. business drivers, technology drivers, financial drivers, and staffing/labour drivers), the system attempts to process this informatio n, using one or more fuzzy logic algorithms derived from one or more expert knowledge bases, into an actionable implementation plan and business case. upon validation of the implementation plan and business case, one or more of the expert knowledge bases may be updated with additional expert knowledge.
4960637;the most complete artificial intelligence & processes for 6 languages;"a new base 10 way for subtraction, addition, multiplication, division and in the future possibly more complex calculations. these base 10 calculations for computers increase speed/performance of calculations by calculating pairs of digits in the same base 10 place (known as levels) simultaneously. the vertical layout of base 10 places makes for easy handling. we also added a more accurate way for calculating division that gets you the accurate answer rather than trial and error. we also have a process for memorizing to increase typing proficiency and possibly make digits 1 to 10 binary compatible (pairs)maybe making numbers higher than 10 into groupings of 10. or at least break down 1 to 10 into intuitive places to replace binary entirely. we are also considering different ways of specializing the key board for user friendly programming. interchangeable communications, base 10 computer language, verbal language, written language, logical language and the language of the heart. these languages can be used for the development of artificial intelligence that can understand these 5 languages. even with a different numbering system or no numbering system at all these languages each separately can be used for artificial intelligence (eg. with algorithms), or knowing how to think logically (recognition, memory trace and a logical way mentally record so you can remember later (what we refer to as creating models of thing you are want to access from memory later) of storing data, information, descriptions - of including experiences and images - also directly, explanations, that is organized to be the most user friendly) communicate verbally and written forms and emote both professionally and personally. humour, story - movie writing, creativity are explained in depth. 6 novel languages 1. the new calculations language above 2. base 10 decimal mathematical language 3. verbal language - vocabulary 4. written language - grammar 5. logical language - landmarks/systems/parts, 16 attributes, methods of thought processing and memory 6. language of the heart - unifying each person's values with a selectable choice for emoting (usually most exact emotion of which by attending to that particular emotion leads to a full discharge; lets out your backed up feelings that didn't have a vent before that). each language comes with tools for easier and more productive and more valuable methods/techniques for managing (storing and retrieval) and the process for using the material (the depth for the level of usage depends who and why is doing the using). as well, we developed dedicated memory to (and created a novel way of processing) and information that large in amount and size."
5689268;fuzzy logic controller;this invention relates to the design and implementation of real-time knowledge-based fuzzy controller system for general purpose industrial applications. the controller is implemented in three technological bases (software, vlsi and neural network). in another aspect the invention relates to the design of an intelligent system which implements decision-making procedure based on approximation, association and reasoning with fuzzy patterns and their clearness assessments rather than the use of max-min computation over fuzzy relational matrices usually applied in approximate reasoning procedures in similar systems. according to this design the fuzzy controller is a device which operates at the level of fuzzy pattern processing where each control task is expressed through the attributes of fuzzy patterns (syntax and content, domain and clearness measure), and the elementary cognitive activities which the human performs with these patterns such as: recognition, generation, assessment, association, pattern matching, approximation, etc. the fuzzy controller utilizes a new scheme for approximate reasoning with fuzzy patterns called the clearness transformation rule of inference (ctri). this mechanism offers a spectrum of advantages broadening the functional intelligence of the controller to handle complex human tasks, improving the performance and accuracy of the controller and reducing the computational requirements. the fuzzy controller presented in the invention can be applied in general engineering practice, financial, medical, process control, pattern recognition and other areas requiring knowledge-based bahaviour in decision making.
5838253;measuring and evaluation device for determining gaseous volume in fuel tank - generates acoustic noise signal, measures acoustic pressure and classifies pattern vectors;the measuring device transmits an acoustic signal via a sound measurement cavity (4) into the volume (1a) of the fuel tank (1) to be measured. a sound pressure sensor (10) detects the total acoustic signal p1 in the measuring cavity and feeds the signal to an amplifier. the measured values, or sequences of values are used to form a pattern vector which is classified and fed to a display (21), e.g. screen, printer or speech output device. the signals are pref. analysed in third-octave or octave bands. an unknown characteristic vector is weighted with a neural network and the vector assigned a volume class. use/advantage - for determining level of fuel in motor vehicle fuel tank. allows measurement of differing tank shapes. independent of level meters which may already be present.
5841230;fuzzy logic controller;the controller is designed to use fuzzy logic rules. it includes a circuit for determining a degree of global truth of the rule premise and a circuit for determining the output values. the global truth circuit has a number of circuits for difference determination(5) each supplying a difference value which is equal to zero when a particular condition of the rule is exactly verified and which is a quadratic or linear function of the difference between the input value and the reference value of this condition. a transformation circuit receives as input the sum of the difference values for the different conditions and produces a signal representing the degree of truth of the premise of the rule.
5903302;characterisation of plant growth substrates;method for the characterisation of a plant-prodn. substrate (i) , using a simple biotest requiring no expensive appts., comprises (i) carrying out a series of biotests with (i), (ii) assessing each individual biotest, to ascertain individual results, (iii) collating the individual results and (iv) assessing the collated results (pref.with an expert system) to characterise (i)
5915292;fuzzy logic controller;the controller is designed to use fuzzy logic rules. it includes a circuit for determining a degree of global truth of the rule premise and a circuit for determining the output values. the global truth circuit has a number of circuits for difference determination(5) each supplying a difference value which is equal to zero when a particular condition of the rule is exactly verified and which is a quadratic or linear function of the difference between the input value and the reference value of this condition. a transformation circuit receives as input the sum of the difference values for the different conditions and produces a signal representing the degree of truth of the premise of the rule.
5928313;method for determining the castability and degree of purity of steel melts for continuous casting;the invention relates to a method for determining the castability and degree of purity of steel melts for continuous casting by means of the characteristic quantities for the solidification of the melt being processed, determined using the cooling curve of a melt sample, and by means of the corresponding data for the preceding melts, of melting process variables used and of corresponding operating data which together form an expert system. the invention furthermore relates to an apparatus for carrying out the method consisting of at least one dip-sampling apparatus, which has at least one temperature sensor which is connected to a data acquisition, processing and storage system in such a way that the measured values are numerically processed and stored. the invention also relates to the use of the method and of the apparatus for the purpose of controlling at least one melting process for secondary steel-making and the casting processes.
6525077;a system for capturing tennis match data;the present invention relates to a system and a method for gathering ball game data and in particular tennis match data in real time. to this end the system comprises a hands-free voice receiving means (4) adapted to receive words spoken by the player (2) wearing the receiving means. the words are then analyzed by an analyzing means adapted to analyze a dedicated ball game vocabulary used by the player. the analysis of the spoken words translates these words into digital match data. this data can be displayed, at least as score of the game by a display (10). more elaborate match data information can be gathered. such data may be fed to an expert system giving back advice to the player.
6526738;high-order entropy error functions for neural classifiers;an automatic speech recognition system comprising a speech decoder to resolve phone and world level information, a vector generator to generate information vectors on which a confidence measure is based by a neural network classifier (ann). an error signal is designed which is not subject to false saturation or over specialization. the error signal is integrated into an error function which is back propagated through the ann.
6541316;information formalization and computer aided cross-language information exchange method;a computer aided cross-language information exchange method different from automatic translation is disclosed. the phrase library for the several languages, combination labels (expressing that a number of language fields is combined into one language field) and relation labels (expressing the relation between the components in a combined language field) are stored in computer's memory. the information expressed by the phrases, combination labels and relation labels is displayed by input device of computer. finally, the displayed phraeses are converted into the phrases of other language by computer. said method can also be used in artificial intelligence field.
6557611;method for setting up fuzzy-neural network expert's system for evaluating sensory qualities of cigarette;a method for creating a fuzzy-neural network expert system for evaluating the sensing quality of cigarettes includes classifying the cigarettes by experts while providing typical data, training the pointed neura network with said typical data as sample, creating neural networks relative to different classes, configuring artificial neural network (ann) library, and managing it with particular program.
6560350;quality maintenance and backtracking system in course of manufacturing printed circuit board;the invention relates to a quality maintenance and retrospect system for process of producing printing circuit board. the system consists of data processing host, stamping device of identifying code,printing circuit board cutter, automatic electrical property testing machine, automatic machine for visual inspecting appcarance, data retrieving device and network for managing internal data of manufactures etc. the data processing host can receive producing instruction and data of production status from said managing network for sharing use. the host can send instruction to the stamping device to stamp two dimension bar code as identifying code on the printing circuit board. the software such as artificial intelligence or quasi-neural net is installed on host to analyze property of no good products, where and when it takes place. the software also guesses the cause and put forward improving countermeasure.
6560552;parameter setting method of ejection forming machine;the present invention utilizes experimental desgin method, and combines it with modular flow analysis software to simulate the process of actual ejection forming and analyze simulation result so as to create the data base of qualitative relationship of ejection forming machine parameter and ejection formed product quality parameter, and utilizes said data base to train neural network, and create said neural network to predict quality of the ejection product formed by ejection forming machine. when it is used, firstly, the parameter to be tested of ejection forming machine can be inputted intosaid neural network. after said parameter is executed by said neural network, the predicted ejection formed product qualitity parameter can be outputted so as to help the operator to set the ejectionforming machine parameter.
6561250;intelligent control method of ejection former;an intelligent control method for ejection former features that the neural network-like control and quality predication ejection forming are used, the multiple loss function for product quality as the index is used for optimal control, and the experimental results are analyzed by cae simulation software program. after several shaping periods, the parameters close the optimal values can be quicklyset up for high rate of finished products and productivity.
6644427;multifunctional oil increasing controlling method and controller;the invention relates to a multi-functional controller for increasing yield of oil. the said controller includes software package of expert system, liquid stream comparator, rotation position sensor,frequency converter or composite intelligent module, and cpu control module. based on signal of oil output situtation dynamically detcted by the liquic stream comparator, the expert system analyzes and calculates oil output situation of oil pumping unit, so as to find out the static and dynamic operating points of maximum oil output. thus, the oil pumping unit, stroke ratio etc. are adjusted to their optimal running point, making yield of oil reach maximum.
6648164;portable agriculture specialist system;the present invention belongs to the field of electronics and computer technology. the proposed agriculture expert system features that the system has not only the functions of personal digital assistant, including as notebook, memorite, calcualtor, name card, fax, e-mail, etc., but also the agricultural application software, which may be replaceable, if necessary. being small, easy to carry about, simple in operate and strong in functions, the present invention is especially suitable for use by agricultural workers.
6650592;high-voltage fault discharge on-line monitoring system for electric machine;the present invention relates to a high-voltage motor fault discharge monitoring system and its detection method based on neutral coupling. it adopts high-frequency wide-band current sensor, whide band preamplification circuit, narrow-band signal detecting and alarm unit, industrial control machine including dsp signal high-speed collecting module and server to form wide band plus narrow band system hardware matching mode. its software adopts modularized structure, including the modules of data transmission, characteristics extraction, characteristics data base and expert system, etc. this invention can greatly raise the reliability of system and anti-interference property, its miss ratio of zero, and its error report ratio also can be greatly reduced, it can utilize optical fiber local area network to form several motors distributed monitoring system.
6651269;intelligent control method of cracking furnace in ethylene preparing equipment;an intelligent control method for the pyrolysis furnace in ethylene plant features that the model to measure heat value of fuel gas, which is developed by fuzzy nerve network, the real-time feedforward deduction control based on said model, the expert system for heat distribution of the side wall and bottom of said furnace, the outlet temp control system for furnace tubes, equivalent and total throughput control system for outlet temp of furnace tubes, and on-line self-correcting control system of the mass flow ratio of input gas/hydrocarbon are used.