Abstract: A system is disclosed that provides a goal based learning system utilizing a rule based expert training system to provide a cognitive educational experience. The system provides the user with a simulated environment that presents a business opportunity to understand and solve optimally. Mistakes are noted and remedial educational material presented dynamically to build the necessary skills that a user requires for success in the business endeavor. The system utilizes an artificial intelligence engine driving individualized and dynamic feedback with synchronized video and graphics used to simulate real-world environment and interactions. Multiple “correct” answers are integrated into the learning system to allow individualized learning experiences in which navigation through the system is at a pace controlled by the learner.

Abstract: A measurements expert system and method for generating high-performance measurements software drivers. The measurements expert system is able to interpret a customer's measurement task specification (MTS) specifying a measurement task, explore possible solution paths, and generate a solution, e.g., a run-time specification (RTS), optimized for the customer's measurement system. The expert system includes programs for analyzing and validating a received MTS, and a plurality of measurements experts which are operable to analyze all or part of the MTS and populate complete or partial RTSs. The partial RTSs are iteratively populated by other experts to form complete RTSs. Competing RTSs may be assessed and a final RTS selected based upon user preferences. The final RTS is useable to configure one or more measurement devices according to the RTS, and to generate a run-time which is executable to perform the specified measurement task using the one or more measurement devices.

Abstract: A method, system, and a program storage device readable by machine, tangibly embodying a program of instructions executable by the machine to perform method steps for processing an input string to generate a fractal semantic network. The fractal semantic network is obtained by parsing the input string to generate an initial parse structure which comprises a plurality of parse elements. Semantic units are generated from some of the parse elements by employing a set of mapping rules for mapping certain types of parse elements into the semantic units such that some of the semantic units are information objects and some are connection objects. The fractal semantic network is generated by arranging the information objects and connection objects in a fractal manner, where the relation between the information objects is represented by the connection objects. The information objects and the connection objects are derived from a small set of basic building blocks.

Abstract: A system and method that enables the implementation of quality control rules formulated in accordance with a quality control rule grammar. The system comprises a storage device and a processor operable to maintain in the storage device a database identifying a plurality of laboratory tests and corresponding quality control rules. The processor is also operable to receive a quality control rule for a specified laboratory test, wherein the quality control rule is expressed in accordance with a quality control rule grammar. The processor is further operable to transfer the quality control rule to the database for storage in relation to the specified laboratory test. Various exemplary embodiments of the system and associated method are provided.

Abstract: In a problem partitioning method for problem solving in a computer system, a definition of a system to be controlled, a hierarchical control structure definition, problem definitions for a plurality of control nodes in the hierarchical control structure, and a structure evaluation function are used in partitioning the system problem. The partitioning method defines an instantiation of the hierarchical control structure by decomposing the system into a plurality of hierarchical control structure instances, with each control structure instance having a plurality of control levels. The performance of each of the hierarchical control structure instances is evaluated with the structure evaluation function and an optimal hierarchical control structure instance is selected.

Abstract: A system and method for automated message response within a system for knowledge management is disclosed. The method discloses the steps of: identifying a set of information resources; profiling the information resources; monitoring a transmitted message; scoring the monitored message with respect to the information resource profiles; querying an information resource with content from the monitored message, if that information resource's score exceeds a predetermined threshold; receiving a set of query responses from the information resources; generating a response to the monitored message from the query responses; and responding to the monitored message with the message response. The system of the present invention, discloses means for implementing the method.

Abstract: A system and method for delivering relevant information to recipients in a timely manner. Information from a plurality of sources is received through interface devices that permit a central processor to evaluate each information stream in light of the dynamic profiles that are stored in a subscriber database. A plurality of location sensors track and report the location of the various recipients. The processor determines the content that will be provided to the recipient and the delivery mode to be used for delivering the selected information to the subscriber.

Abstract: A method of identifying features for a classifier includes identifying a set of elements that share a common characteristic, and then identifying a subset of elements within that set which share a second characteristic. Features are then selected that are more commonly possessed by the elements in the subset than the elements in the set but excluding the subset, and that are more commonly possessed by the elements in the set but excluding the subset, as compared to the elements outside the set. A further method of identifying features for a classifier includes defining a list of features, selecting a first feature from that list, identifying a set of elements that possess that first feature, and then identifying a subset of elements within that set which possess any other feature.

Abstract: Behavior of an electrical circuit can be modeled using a trained neural network. For example, using one or more neural networks, power consumption, including leakage power and switching energy, can be estimated. Also, a profile of current versus time can be generated for the electrical circuit. A hierarchy of neural networks may be used to model the circuit at different levels. In one embodiment, a circuit behavior is modeled using one or more neural networks, cluster values, and cluster probabilities.

Abstract: A carrier dispatch and transfer method is disclosed, which actuates an optimal carrier dispatch and transfer table for generating elements with a kernel of genetic algorithm by a multi-thread method to search setting confinement conditions and object. A plurality of samples are generated randomly, each including a two dimensional carrier dispatch encoding table. The carrier dispatch encoding table and its transportation duties correspond to chromosomes and genes in a genetic algorithm. The samples are utilized as parent generations for being estimated according to a defined object function and a confinement formula. By rule of roulette wheel, selection possibilities of chromosomes with relative superior fitness values are enhanced. After performing processes of chromosome crossover and mutation, a process of sample update is performed by local gene exchange to select superior samples based on the fitness values.

Abstract: A method for finding rules and exceptions from a database uses four stages programmed into a computer, wherein the four stages include an adaptive stage for creating in accordance with a user's previously inputted specifications, a parameter file of rules and exceptions finding conditions in accordance with the user's specifications, with the file being displayed to the user; a data model stage for analyzing the parameters from the parameter file, and retrieving data from one or more databases in accordance with the parameters; a problem formulator stage for transforming the retrieved data into a formalized data structure compatible with the parameters, and creating a catalog of possible attributes; and a solving stage for generating rules and exceptions from the formalized data by using the parameters and the catalog, and sending the result to the adaptive stage.

Abstract: A computer-implemented system and method for translating node-and-link knowledge representations to an outline format is disclosed. The representation includes one or more node objects and one or more link objects. Each link object has a “from node identifier” that identifies the node object in a concept map connected to a link's tail and a “to node identifier” identifying the node object in the concept map to which the link object points. A translation program traverses all of the node objects in a node-and-link representation as directed by the link objects by following links out of each node depending of the link objects' “to node identifier” such that an outline is output having node object information and link object information hierarchically interrelated.

Abstract: A transportation crew dispatch method is disclosed. A plurality of initial samples is generated at first. Each initial sample includes a two dimensional transportation crew dispatch coding table. The initial samples are assigned as parent samples. A sample estimation is performed based on object functions and confinement formulas. By rule of roulette wheel, selection possibilities of chromosomes with superior fitness values are increased. After performing processes of chromosome crossover and mutation responsive to the selection possibilities of single point cutting and double point cutting, a process of sample update is executed by partial gene exchange so as to select preferred samples. The fitness value of each sample is determined from business cost, satisfaction of fairness index, and the disobedient cost of the confinement formulas.

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: An enhanced knowledge management system (“KMS”) is provided. The enhanced KMS provides a customizable, person-to-person, knowledge sharing portal that manages concurrent one-on-one conversations between requesters and expert resources. Through the knowledge sharing portal, the KMS provides the automatic capture, organization, and reuse of tacit knowledge, as well as integration with existing systems that manage already documented (explicit) knowledge. Example embodiments provide a Conversation Manager, which manages communication in the form of conversations (question and answer sequences) between users (requesters) and experts (expert resources), and allows system administrators to customize the system. Conversations are organized by subject matter categories and experts are ranked preferably by the system and by users, thereby increasing the likelihood of the KMS providing answers to users' questions.

Abstract: A method of optimizing performance of a well system utilizes a neural network. In a described embodiment, the method includes the step of accumulating data indicative of the performance of the well system in response to variable influencing parameters. The data is used to train a neural network to model an output of the well system in response to the influencing parameters. An output of the neural network may then be input to a valuing model, e.g., to permit optimization of a value of the well system. The optimization process yields a set of prospective influencing parameters which may be incorporated into the well system to maximize its value.

Abstract: The invention is a method for augmenting images to highlight regions where objects of interest are likely to appear. The method uses fuzzy set theory to classify locations that may contain objects of interest, uses fog volumes to represent the fuzzy sets in three dimensions, and renders these fog volumes from the vantage point of the image to provide a colored overlay with which to augment the image. Where fog volumes of different colors overlap in an image, the invention renders the overlapping area using cross-hatching, so that the multiple colors appear side by side rather than blending to make a third color.

Abstract: A data processing system, method, and product are disclosed for dynamically allocating resources for multiple, different types of events that occur within a microprocessor. Multiple, different unallocated resources are provided. One of these unallocated resources are allocated only in response to a first occurrence of an event that is one of the different types of events. Thus, resources remain unallocated until a first occurrence of events for which resources are then allocated.

Abstract: Disclosed herein is a machine translation system which can automatically switch from one or more dictionaries to more appropriate dictionaries for translating a first language to a second language. As a dictionary constitution, a base dictionary and domain dictionaries can be provided. The domain dictionary can be divided into a compound word dictionary that includes triggers for switching dictionaries and a compound word dictionary that does not include triggers for switching the dictionaries. When a compound word included in the compound word dictionary that includes triggers for switching the dictionaries is detected during source text analysis, a priority of the concerned domain dictionary can be set higher than that of the base dictionary. Moreover, the domain dictionary can be subdivided into a main domain dictionary and a sub-domain dictionary.

Abstract: An autonomous adaptive agent which can learn verbal as well as nonverbal behavior. The primary object of the system is to optimize a primary value function over time through continuously learning how to behave in an environment (which may be physical or electronic). Inputs may include verbal advice or information from sources of varying reliability as well as direct or preprocessed environmental inputs. Desired agent behavior may include motor actions and verbal behavior which may constitute a system output (and which may also function “internally” to guide external actions. A further aspect involves an efficient “training” process by which the agent can be taught to utilize verbal advice and information along with environmental inputs.