Abstract: The Cooperative Biometrics Abnormality Detection (C-BAD) system is a network of sensors that track personnel throughout physical locations, communications, and computer systems. These systems are then linked to a central computer that contains detailed information on the individual, and rule-based risk, relationship, and abnormality models that will deter. detect, and document possible insiders. It is only at this point that C-BAD will then objectively report suspicious activities to a supervisory team for further investigation. (C-BAD) This System replaces previous current labor-intensive, subjective analysis, which has proven to be a weak deterrent and fraught with human error. C-BAD uses a full spectrum of sensors that identify personnel through the use of contact, contactless, biometrics, smart cards, or a combination of any one of these.

Abstract: A temporal summation device can be composed of one or more nanoconnections having an input and an output thereof, wherein an input signal provided to the input causes one or more of the nanoconnection to experience an increase in connection strength thereof over time. Additionally, a voltage divider is formed by the nanoconnection(s) and a resistor connected to the output of the nanoconnection(s), such that the voltage divider provides a voltage at the output the nanoonnection(s) that is in direct proportion to the connection strength of nanoconnection(s). An amplifier is also connected to the voltage divider, wherein when the voltage provided by the voltage divider attains a desired threshold voltage, the amplifier attains a high voltage output thereby providing a temporal summation device thereof.

Abstract: A method and system for patient generation and evolution for a computer-based testing system and/or expert system. One or more belief networks, which describe parallel health state networks are accessed by a user or a computer. A knowledge base, at least in part, is scripted from the one or more belief networks by the computer. A model patient at least in part, is instantiated by the computer from the scripted knowledge base. Optionally, the model patient is evolved by the computer in accordance with the parallel health state networks and responsive to a received course of action.

Abstract: A computerized method for automatic document classification based on a combined use of the projection and the distance of the differential document vectors to the differential latent semantics index (DLSI) spaces. The method includes the setting up of a DLSI space-based classifier to be stored in computer storage and the use of such classifier by a computer to evaluate the possibility of a document belonging to a given cluster using a posteriori probability function and to classify the document in the cluster. The classifier is effective in operating on very large numbers of documents such as with document retrieval systems over a distributed computer network.

Abstract: A method for securing access to a data medium comprises listing at least one unique identifier of media that a data transfer element is allowed to access in memory storage of the data transfer element, accessing only media having at least one of the listed unique identifiers in media cartridge memory with the data transfer element, and writing a unique identifier associated with the data transfer element to the cartridge memory of the selected medium with the data transfer element in response to no library assigned unique identifier being present in the cartridge memory of the selected medium.

Abstract: Computer-implemented methods, systems and apparatus, including computer program apparatus, provide techniques for designing a set of experiments to be performed with a set of resources. A plurality of experimental configurations are generated based on a set of parameters describing factors to be varied in the experiments and a set of constraints representing limitations on operations that can be performed with the set of resources. A set of experiments is defined based on a selected configuration. The constraints can be represented as patterns defining an application of a parameter to a set of one or more points of an experimental lattice.

Abstract: A variable resistor apparatus includes a plurality of nanoparticles disposed between two terminals, wherein the plurality of nanoparticles provides an electrical resistance. An electric field applied to the plurality of nanoparticles across the two terminals results in an alignment of the nanoparticles over time and a decrease in the electrical resistance thereby providing a variable resistor apparatus. The electric or electrical field can be applied across the two terminals perpendicular to the plurality of nanoconnections. The nanoparticles can comprise nanoconductors, which can be formed as, for example, nanotubes and/or nanowires. The nanoparticles are generally disposed in a solution within a connection gap formed between the two terminals. The solution can comprise a solvent and/or a suspension of nanoparticles forming a mixture thereof. The solution can also be provided as a liquid, a gel, and or a gas. The solution may also comprise a dielectric.

Abstract: A story interactive grammar teaching system and method. The disclosed system is a computer-aided grammar learning system. Grammar rules are embedded in the animations provided in the interactive grammar teaching system. The user can self test and enhance his or her language abilities with the help of the system. The disclosed method can achieve the goals of providing immediate practice tests, interacting with users, and guiding users through stories. The method includes the steps of: establishing an animation database and at least one animation file, receiving a command input from a user, and executing the command using the interactive grammar teaching system.

Abstract: Power spectrum data is calculated from a digital audio signal D10. A part of power spectrum data is extracted from thus calculated power spectrum data. Classification is made based on the extracted part of power spectrum data. And the digital audio signal D10 is converted by a predicting method that corresponds to the classified class. Thereby, conversion further adapted to the characteristic of the digital audio signal D10 can be performed.

Abstract: A method and system for supporting a compliance agent in compliance monitoring for anomaly detection (CMAD) involves a primary monitoring system comparing some predetermined conditions of acceptance with the actual data or event. If any variance is detected (an anomaly) by the primary monitoring system, an exception report or alert is produced, identifying the variance. In a simple environment, this identification of the variance fulfils the evidence conditions and determines an instance of non-compliance. However, in a more complex environment, it may only be an indicator of a suspect non-compliant event (SNCE). In the latter case, the compliance agent uses the results of the initial monitoring as well as important information related to the event and requiring judgmental expertise to obtain further evidence of non-compliance. Compliance gents develop propositions or believes, based on their assumption.

Abstract: System and method for performing one or more relevant measurements at a target site in an animal body, using a probe. One or more of a group of selected internal measurements is performed at the target site, is optionally combined with one or more selected external measurements, and is optionally combined with one or more selected heuristic information items, in order to reduce to a relatively small number the probable medical conditions associated with the target site. One or more of the internal measurements is optionally used to navigate the probe to the target site. Neural net information processing is performed to provide a reduced set of probable medical conditions associated with the target site.

Abstract: An extensible method and system for dynamically transforming and routing the WWW content is provided that can enable efficient delivery and presentation of the content for a variety of end-user devices. Processing of HTTP request and response messages is combined with event-driven machinery that can perform transformations and routing of data or content. The machinery can include a logic-based inference engine adapted to determine which transformations are applicable in any given context. A knowledge base for the content adaptation and routing may also be provided. The knowledge base is segmented so that search space for the inference engine can be significantly reduced in any given context. Since the search space is much narrower, searching can be performed much more efficiently, which can result in improved performance.

Abstract: A system and method for collecting, filtering, analyzing, distributing and effectively utilizing highly relevant events (such as key business events) in real time, from huge quantities of data. The present invention analyzes both historic and real-time data stemming from operational activity, by interfacing with internal data repositories (such as Enterprise Resource Planning (ERP) and Customer Relationship Management (CRM)), external data sources (such as suppliers and clients), and real time operational systems in order to create an Active Intelligence Platform. This Active Intelligence Platform is positioned as a layer between the organization's data sources and its applications, monitoring inputs and relaying only the important data items to the relevant individuals and/or systems. This allows individuals and systems to respond immediately and effectively to key events.

Abstract: A system and method for electronic communication management comprises a universal data model, a modeling engine, and an adaptive knowledge base. The modeling engine includes a natural language processor and a statistical modeler. A communication is translated from its native format into the universal data model. The modeling engine determines the intent of the communication using the natural language processor and the statistical modeler. A response is generated, either automatically or by an agent. An audit module analyzes each response and provides feedback to the modeling engine and the adaptive knowledge base. The modeling engine uses the feedback to update models in the adaptive knowledge base. The modeling engine supports various application specific modules.

Abstract: A visual perception processor comprises histogram calculation units, which receive the data DATA(A), DATA(B), . . . DATA(E) via a single data bus and supplying classification information to a single time coincidences bus. In a preferred embodiment the histogram calculation units are organized into a matrix.

Abstract: A process for modeling numerical data for forecasting a phenomenon relates to constructing a model by processing and learning on collected data. The fit and robustness of the model are evaluated and the model parameters are adjusted to select an optimal model in the form of a Dth order polynomial. A trade-off between learning accuracy and learning stability is controlled by adding to a covariance matrix a perturbation in the form of the product of a scalar ? times a matrix H or in the form of a matrix H dependent on a vector of k parameters ?=(?1, ?2, . . . ?k). A data partition step can divide the data into a first subset for constructing the model and a second subset for adjusting the value of the model parameters according to a validity criterion obtained from data that was not used to construct the model.

Abstract: A computer system (20) is provided with a development server (26) with a plurality of subject matter expert (SME) terminals (22) and a production server (28) with a plurality of user terminals (24). The development server (26) supports several software components including a knowledge database (46), a code generator (48), and fluid object material (50). The production server (28) also supports several software components including an production copy of the fluid object material (50A), and software wrappers (152,154). An instantiation modeler (156) and a user interface (44) are provided on the user terminals (24), and a SME interface (42) resides on the SME terminals (22). The SME interface (42) is operative to guide a SME through entry of rules into the knowledge database (46), and the code generator (48) is operative to automatically generate source code that is the fluid object material (50) for implementing the rules input into the knowledge database (46) by the SME.

Abstract: A neural network system is provided that models the system in a system model (12) with the output thereof providing a predicted output. This predicted output is modified or controlled by an output control (14). Input data is processed in a data preprocess step (10) to reconcile the data for input to the system model (12). Additionally, the error resulted from the reconciliation is input to an uncertainty model to predict the uncertainty in the predicted output. This is input to a decision processor (20) which is utilized to control the output control (14). The output control (14) is controlled to either vary the predicted output or to inhibit the predicted output whenever the output of the uncertainty model (18) exceeds a predetermined decision threshold, input by a decision threshold block (22).

Abstract: This invention describes a method to verify non-looping properties of programs implemented as rule-based expert systems. Our method detects conditions under which the expert system enters erroneous infinite program loops, which lead to non-terminating or oscillating computations, or otherwise proves the absence of such conditions. Our automatic procedure also gives advice on how to correct these errors. The expert systems considered consist of condition-action rules (IF-THEN-statements), where the conditions are logical expressions (formulas of a propositional finite domain logic), and the actions modify the value of a single variable which in turn can be part of other logical expressions. There may be additional (external) variables not controlled by the expert system, and each rule may have an associated evaluation priority.

Abstract: A computing machine capable of performing multiple operations using a universal computing unit is provided. The universal computing unit maps an input signal to an output signal. The mapping is initiated using an instruction that includes the input signal, a weight matrix, and an activation function. Using the instruction, the universal computing unit may perform multiple operations using the same hardware configuration. The computation that is performed by the universal computing unit is determined by the weight matrix and activation function used. Accordingly, the universal computing unit does not require any programming to perform a type of computing operation because the type of operation is determined by the parameters of the instruction, specifically, the weight matrix and the activation function.