Patents Examined by George B. Davis
  • Patent number: 6654728
    Abstract: A fuzzy logic based classification (FLBC) method for the automated discrimination of objects and the automated identification of nodules based on their features, a computer programmed to implement the method, and a storage medium which stores a program for implementing the method, wherein nodule (or, object) features are first normalized and then automatically selected. Based on the selected features, suspect nodules (or, objects) are pre-grouped and then subjected to the corresponding trained linear classifier to remove those false positive nodules or abnormal objects that are linearly separable. Finally, the remaining suspect nodules or objects are further subjected to a trained fuzzy classifier for removing those false positive nodules or abnormal objects that are not linearly separable.
    Type: Grant
    Filed: July 25, 2000
    Date of Patent: November 25, 2003
    Assignee: Deus Technologies, LLC
    Inventors: Ruiping Li, Hwa-Young Michael Yeh, Yuan-Ming Fleming Lure, Xin-Wei Xu, Jyh-Shyan Lin
  • Patent number: 6651046
    Abstract: A chromosome is decoded by a decoding unit, and converted into parameters of a problem model calculation unit. In the problem model calculation unit, a controller executes a local search method unit, a GA search unit, or a stochastic search unit while suitably selecting any of them, so that a solution is generated. If a constraint violation is detected by a constraint violation determination unit during a solution generation process, an added part (a part which causes a constraint violation) is removed from a current solution by the constraint violation processing unit, and the solution generation process is continued.
    Type: Grant
    Filed: September 12, 2000
    Date of Patent: November 18, 2003
    Assignee: Fujitsu Limited
    Inventors: Makihiko Sato, Shunji Matsumoto, Yohiko Teramoto
  • Patent number: 6647378
    Abstract: A method and apparatus are provided of adapting a dictionary into which a keyword effective for judging whether or not information provided from either one of an information recording medium or an information communication network is recorded preferentially. The information includes information data and one or more keywords attached to the information data. The method is implemented by providing a user with the information data, enabling the user to input a signal indicating that the provided information data is necessary or unnecessary; calculating a prediction value for predicting a user's necessity degree of each keyword attached to the provided information data on the basis of the signal inputted in the inputting step, and registering preferentially the keyword effective for the dictionary by using the prediction value.
    Type: Grant
    Filed: February 9, 2001
    Date of Patent: November 11, 2003
    Assignee: Matsushita Electric Industrial Co., Ltd.
    Inventor: Toshiki Kindo
  • Patent number: 6647377
    Abstract: A multi-kernel neural network computing architecture configured to learn correlations among feature values 34, 38 as the network monitors and imputes measured input values 30 and also predicts future output values 46. This computing architecture includes a multi-kernel neural network array 14 with the capability to learn and predict in real time. The CIP 10 also includes a manager 16 and an input-output transducer 12 that may be used for input-output refinement. These components allow the computing capacity of the multi-kernel array 14 to be reassigned in response to measured performance or other factors. The output feature values 46 computed by the multi-kernel array 14 and processed by an output processor 44 of the transducer 12 are supplied to a response unit 18 that may be configured to perform a variety of monitoring, forecasting, and control operations in response to the computed output values.
    Type: Grant
    Filed: April 9, 2001
    Date of Patent: November 11, 2003
    Assignee: Netuitive, Inc.
    Inventor: Robert J. Jannarone
  • Patent number: 6640142
    Abstract: An occupant of a cubicle or office can activate transparent partitions to partially or completely enclose a cubicle and/or office to minimize noise, optimize privacy, lighting, air flow and temperature. This transparent partition is coated with a thin layer material connected to electrodes. Once the occupant decides that changing working conditions (e.g., minimize noise, optimize privacy, adjust lighting, air flow and/or temperature) is needed, the occupant can activate the thin transparency control layer by appropriate electronic control. Movable parts of the partitions may also be adjusted. The transparent partitions may be made darker or opaque. Movable partitions may be used to provide optimized privacy, noise level, lighting, air flow and temperature control. Conversely, the partitions may be made transparent and movable sections retracted to permit greater worker-to-worker interaction.
    Type: Grant
    Filed: August 2, 2000
    Date of Patent: October 28, 2003
    Assignee: International Business Machines Corporation
    Inventors: Danny Cy Wong, Paul A. Moskowitz, Ali Afzali-Ardakani
  • Patent number: 6640216
    Abstract: A knowledge modeling and delivery system combines pre-configured, parameterized models of human resource knowledge with organization-specific and employee-specific data. It delivers personalized answers to employee and manager questions about benefit plans, payroll, human resource (HR) policies, procedures, and practices. The pre-configured, parameterized models can be created and maintained outside the organization, the organizational data are created and maintained by the organization, and personal data are accessed or read from existing human resource management systems (HRMS's). This threefold partitioning yields a system that can be quickly customized to an individual organization, yields detailed and accurate information for individuals within the organization, and can be maintained in a cost-effective manner.
    Type: Grant
    Filed: December 2, 2002
    Date of Patent: October 28, 2003
    Assignee: Authoria, Inc.
    Inventors: Tod Hayes Loofbourrow, Steve Herbst, Timothy S. Farlow
  • Patent number: 6636841
    Abstract: A telecommunications fault location and diagnostic system employs a remote test unit (RTU) to collect system parameter data. The RTU is operatively coupled to a trained neural network, which receives the system parameter data from the RTU. The neural network is trained using pre-screened historical fault data, which is stored in a database. Once trained, the neural network classifies the RTU data into one of a predetermined number of fault probabilities.
    Type: Grant
    Filed: February 11, 2000
    Date of Patent: October 21, 2003
    Assignee: Cybula Ltd.
    Inventors: James Austin, Ping Zhou
  • Patent number: 6633858
    Abstract: A problem solver for generating an action sequence executed from an initial state to a goal state in a state space defined by a particular problem is disclosed, that comprises a cognitive distance learning unit learning a cognitive distance that represents a cost acted on the environment of the state space, the cost being spent in an action sequence executed from a first state in the state space to a second state that is different from the first state, and a next action deciding unit deciding a next action contained in the action sequence that has to be executed in a particular state to attain the goal state in the state space based on the cognitive distance learnt by the cognitive distance learning unit.
    Type: Grant
    Filed: March 21, 2001
    Date of Patent: October 14, 2003
    Assignee: Fujitsu Limited
    Inventors: Hiroshi Yamakawa, Hiroyuki Okada, Takayuki Baba
  • Patent number: 6631362
    Abstract: To identify the best choice from a set of alternatives, team members select the criteria to be used in identifying the best choice. Each criterion describes at least one feature of the alternatives. Each team member then, for each alternative, defines a target value for the feature of the criteria and sets a level of knowledge about the feature of the criteria. Using the target values and the team member's knowledge of each feature, each team member estimates how well the alternatives meet the target values for the features. The system then calculates an expected utility for each alternative based on the team member's estimations and a probability that each alternative is the best choice. Finally, based on the expected utility and probability that each alternative is best, a best choice is identified.
    Type: Grant
    Filed: October 18, 2000
    Date of Patent: October 7, 2003
    Assignee: Robust Decisions
    Inventors: David G. Ullman, Bruce D. D'Ambrosio
  • Patent number: 6631361
    Abstract: A method, apparatus, and article of manufacture for providing a description of logic used in determining an outcome based on automatic processing of data is disclosed. The method comprises the steps of hierarchically applying a series of decision criteria to the data to arrive at the outcome, while recording a rule determined from application of each decision criteria to the data, and retrieving the recorded rules. The article of manufacture comprises a data storage device tangibly embodying instructions to perform the method steps outlined above, and the apparatus for performing the method steps.
    Type: Grant
    Filed: October 1, 1999
    Date of Patent: October 7, 2003
    Assignee: NCR Corporation
    Inventors: Kenneth W. O'Flaherty, Brian Don Tate
  • Patent number: 6631360
    Abstract: A computer-implementable method of selecting which engine of a plurality of inference engines to use to predict the categories into which individuals fall, such as buyer/non-buyer, and produce forecast reports based on the predictions is disclosed. Training (known) sample data that categorizes individuals based on the individual's profile is sequentially applied to multiple inference engines to determine which engine is best based on a desired objective. Then, a classifier associated with the selected engine is used to analyze unknown sample data, create category predictions and produce forecast reports based on the predictions.
    Type: Grant
    Filed: November 6, 2000
    Date of Patent: October 7, 2003
    Assignee: Sightward, Inc.
    Inventor: Rodney C. Cook
  • Patent number: 6629090
    Abstract: A rule present between a plurality of data values is extracted through data mining to output the rule and the information showing the reliability of the rule. A set-division evaluation-value S-ratio and a t-value showing the clearness of division when dividing a set constituted of a plurality of data values into two subsets are defined as the information showing the reliability of a rule. S-ratio=((S1+S2)/2)/S0 wherein, S0 is sum of squares of purpose variables of set before divided, S1, S2 are sums of squares of purpose variables of each subset after divided.
    Type: Grant
    Filed: January 26, 2001
    Date of Patent: September 30, 2003
    Assignee: Fujitsu Limited
    Inventors: Hidetaka Tsuda, Hidehiro Shirai
  • Patent number: 6625585
    Abstract: A system for helping a chemist to identify pharmacophoric mechanisms, based on a set of input data representing many chemical compounds. Given an input data set defining for each compound a feature characteristic and an activity characteristic, a computer agglomeratively clusters representations of the molecules based on their feature characteristics. The result of this process is a multi-domain pyramid structure, made up of a number of nodes each representing one or more molecules. For each node, the computer identifies a representative feature set (such as a largest substructure common among the molecules in the node) and a representative activity level (such as an average of the activity levels of the molecules in the node). The computer then provides as output to a chemist a description of all or part of the pyramid. This process thus converts a large set of raw data into an understandable and commercially useful form, which can assist the chemist in developing beneficial new pharmaceuticals.
    Type: Grant
    Filed: April 14, 2000
    Date of Patent: September 23, 2003
    Assignee: Bioreason, Inc.
    Inventors: John D. MacCuish, Christodoulos A. Nicolaou
  • Patent number: 6625589
    Abstract: An algorithm for improving the probability of identifying the repair that will correct a fault aboard a machine, such as a locomotive. The invention utilizes historical fault log and repair data and further calculates the number of times a particular fault occurs in a given number of days and also the number of times a particular fault occurs on each day. Averages are calculated for these results and when the number of fault occurrences exceed some or more of those averages, then these faults are deemed statistically significant for subsequent processing.
    Type: Grant
    Filed: August 4, 2000
    Date of Patent: September 23, 2003
    Assignee: General Electric Company
    Inventors: Anil Varma, Nicholas Edward Roddy
  • Patent number: 6622137
    Abstract: A decision operation tree (“DO Tree”) according to the present invention is a logical tree representation of decision making rules and actions instituted according to those rules. In preferred embodiments of the invention, one or more DO Trees are tailored to serve a user's rating and billing system needs. According to the present invention, Do Trees are comprised of a plurality of nodes and branches, which branches connect the nodes together in a descending relationship. Any node may have defined for it one or more actions (whose implementation can be prioritized or ordered) which are triggered whenever the node is reached. Those nodes having branches stemming (“descending”) from them have two parameters, a Decision Attribute and a Branching Type, which defines the node's relationship with its descending branches. Upon occurrence of the predefined event, the method includes proceeds from node to node, and optionally performs one or more actions in each node.
    Type: Grant
    Filed: August 14, 2000
    Date of Patent: September 16, 2003
    Assignee: Formula Telecom Solutions Ltd.
    Inventors: Liran Ravid, Oren Avital
  • Patent number: 6622136
    Abstract: A method, system and program product 100 usable by domain developers having any experience level in creating domain models. A representation of domain model knowledge is derived from a domain specification. The domain specification includes multiple potential domain objects, e.g., tables of APIs functional arguments, and each of the potential domain objects include one or more attributes. Potential domain objects are selected one at a time 102 from the specification and offered to the developer. The developer decides 104 whether or not to include the potential domain object in the domain model. If the developer decides to include the potential domain object 106, then the system provides a default name 108, i.e., the table name or argument name, and allows the developer to rename the selected domain object 110. Then, after having selected the object, potential attributes 112, e.g., table columns 1122, are selected from the object and offered to the developer 116.
    Type: Grant
    Filed: February 16, 2001
    Date of Patent: September 16, 2003
    Assignee: Motorola, Inc.
    Inventor: Dale William Russell
  • Patent number: 6622134
    Abstract: A method of constructing data classifiers in cases where the number of features is much larger than the number of training examples and it is critical to avoid overtraining, is particularly useful in recognizing computer objects containing or likely to contain a computer virus. The method provides a novel way of tolerating imperfectly classifiable data, of learning in time polynomial in the size of the input data, and of avoiding overtraining. Training is performed by constructing and solving a linear program (LP) or integer program (IP).
    Type: Grant
    Filed: January 5, 1999
    Date of Patent: September 16, 2003
    Assignee: International Business Machines Corporation
    Inventor: Gregory Bret Sorkin
  • Patent number: 6606609
    Abstract: An integrated circuit comprising a logic processor and a fuzzy logic coprocessor is disclosed which processes a plurality of analog inputs. The logic processor and fuzzy logic processor are combined in the form of a single integrated circuit. The integrated circuit accepts a plurality of analog inputs which are digitized and provided as output to a display peripheral or are used to control an actuator peripheral such as a control unit for a valve. The integrated circuit includes means for loading or exchanging informational elements with other units of an installation.
    Type: Grant
    Filed: April 23, 1996
    Date of Patent: August 12, 2003
    Assignee: SGS-Thomson Microelectronics S.A.
    Inventor: Maurice Le Van Suu
  • Patent number: 6604090
    Abstract: An automated interface program designed to interact and communicate with users, is disclosed that defines a list of categories activatable by the program; identifies a set of categories activated by user input; selects another set of categories from the activated categories based upon a metric and thereafter executes actions associated with the selected categories. The metric is a computed value based on conditions located within each category. The metric gives an estimate of the appropriateness of the particular response included in an activated category. This estimate is currently based on the current input and the current state of the automated interface program at the time user input is entered.
    Type: Grant
    Filed: February 3, 1998
    Date of Patent: August 5, 2003
    Assignee: Nativeminds, Inc.
    Inventors: Walter A. Tackett, Scott S. Benson
  • Patent number: 6604094
    Abstract: A method and apparatus for simulating human intelligence and natural language dialog capability is disclosed. The present invention contains a cognitive model of human intelligence (20), a mathematical model of information abstraction, synthetic dialog interaction (202), a method of language-independent computer learning through training (201), interaction and document reading (203) and a method of efficient computer implementation (200) of all preceding parts. The cognitive model (20) is the theoretical basis of the entire invention, describes the way humans learn and interact in general terms, provides a mathematical basis for natural language (40) learning and interaction and establishes a basis for detailed computer implementation of the theory.
    Type: Grant
    Filed: August 9, 2000
    Date of Patent: August 5, 2003
    Assignee: Symbionautics Corporation
    Inventor: Henry M. Harris