Abstract: Systems and methods for optimization of real time production operations. In one embodiment, a moving time horizon based parametric model provides fast predictions for production optimization in a short-term framework. In another embodiment, multiple technologies are selected in connection with asset performance workflows that are uniquely implemented in a multi-phase approach.

Abstract: Example methods and apparatus to construct histogram and wavelet synopses for probabilistic data are disclosed. A disclosed example method involves receiving probabilistic data associated with probability measures and generating a plurality of histograms based on the probabilistic data. Each histogram is generated based on items represented by the probabilistic data. In addition, each histogram is generated using a different quantity of buckets containing different ones of the items. An error measure associated with each of the plurality of histograms is determined and one of the plurality of histograms is selected based on its associated error measure. The method also involves displaying parameter information associated with the one of the plurality of histograms to represent the data.

Abstract: A method for determining a target path for a model-based control system. The model-based control system includes a directed acyclic graph, where the directed acyclic graph includes a plurality of vertices interconnected by a plurality of edges. The method includes the steps of performing a depth-first search of the directed acyclic graph for the target path. The depth-first search is operative to return an explicit solution or an implicit solution, wherein the implicit solution is determined using a heuristic. The method further includes determining if the depth-first search returned an explicit solution or an implicit solution, and if the depth-first search returned an implicit solution, constructing the target path from the implicit solution. The method may further include constructing a pattern database.

Abstract: Methods, systems, and computer program products are provided for decision making under uncertainty. A causality framework is provided to define relationships between an alternative (Ai) of a set of alternatives and at least one performance indicator of a set of performance indicators. A k-concurrent lottery (Li) associated with the alternative (Ai) is conducted, the alternative (Ai) having consequences over k ones of the set of performance indicators. The k-concurrent lottery (Li) is homogenized over the set of performance indicators if the k ones is less than a number of the set of performance indicators. An expected utility of the k-concurrent lottery (Li) for each one of the set of alternatives is computed. One alternative is selected from the set of alternatives, the selection occurring in accordance with a selection criteria based on the expected utility.

Abstract: In some implementations, a plurality of first questions and corresponding first answers are identified at a community question-answer (CQA) site as a plurality of first question-answer (q-a) pairs. A query thread comprised of a second question and a plurality of candidate second answers is selected for making a determination of answer quality. A set of the first questions that are similar to the second question are identified from the plurality of first questions. First linking features between the identified set of first questions and their corresponding first answers are used for determining an analogy with second linking features between the second question and candidate answers for ranking the candidate answers.

Abstract: An epithelial detector and method for automatically identifying epithelial portions of a tissue sample, includes: staining the tissue sample with at least two dyes; applying a color transformation to a color image of the tissue sample to obtain one or more color channels; and applying a trained convolutional neural network to the color channels to obtain a decision for position in the tissue as to whether it is inside or outside an epithelial layer. Also, a method for training the convolutional neural network.

Abstract: A method for object detection from a visual image of a scene. The method includes: using a first order predicate logic formalism to specify a set of logical rules to encode contextual knowledge regarding the object to be detected; inserting the specified logical rules into a knowledge base; obtaining the visual image of the scene; applying specific object feature detectors to some or all pixels in the visual image of the scene to obtain responses at those locations; using the obtained responses to generate logical facts indicative of whether specific features or parts of the object are present or absent at that location in the visual image; inserting the generated logical facts into the knowledge base; and combining the logical facts with the set of logical rules to whether the object is present or absent at a particular location in the scene.

Abstract: An apparatus includes an analytic network process (ANP) storage memory that stores an ANP weighted supermatrix representing an ANP model; and a processor in communication with the ANP storage memory. The processor is configured to facilitate measuring an instantaneous rate of change of alternative scores with respect to a fixed node of the ANP model, to determine a marginal influence of the fixed node. Also, the processor is configured to facilitate maintaining a same proportionality in the stored ANP weighted supermatrix as an importance of the fixed node is changed to measure the instantaneous rate of change.

Abstract: A method for splitting a dataset relating to an anatomical tree structure (12) comprises establishing a plurality of seed points (24) within the tree structure; establishing a length of a path (20) along the tree structure from each of the plurality of seed points (24) to each of a plurality of other points (14); establishing a Euclidean distance (26) from each of the plurality of seed points (24) to each of the plurality of other points (14); associating with the seed point (24) a measure representing a likelihood that the seed point is the root point in dependence on the established lengths (20) and distances (26); identifying the root point of the tree structure (12) as the seed point (24) associated with a maximum measure representing the likelihood that the respective seed point is the root point; and establishing the principal bifurcation point (64) in dependence on the root point.

Abstract: A method of building a data integration environment is provided. According to one embodiment of the invention as applied to a computer network, the method comprising: identifying the data integration environment and the policies that apply to it 200, negotiating with the environment 202, and generating a new interface rule set enabling information to be passed in dependence thereon between the system which is made part of the integration environment and the integration environment. The method can be usefully applied in UAV networks, robot networks as well as in networks of fixed sensors. The invention finds utility in various important applications such as in network-enabled capability and in rapid integration of systems.

Abstract: Disclosed is an information providing system comprising a receiving unit that receives an information request from a requester, a data storage unit that stores data, a detection processing unit that analyzes the content of the information request and extracts provision candidate data corresponding to the information request from the data storage unit, a responder output device to which the content of the information request and the provision candidate data are output, a responder input device that receives instruction information on whether or not the provision candidate data is to be provided, a response control unit that determines whether or not there is providable data based on the received instruction information and the provision candidate data, and an answer generating unit that generates answer data using the decision result by the response control unit.

Abstract: The invention relates to a method and devices for evaluating operational risks in order to aid in the decisions concerning maintenance operations on vehicles during scheduled utilization of the vehicle. Scheduled utilization comprises at least one utilization period. After the degradation of at least one of the components of the vehicle has been analyzed (130), the functional consequences, for the vehicle, of the analyzed degradation are evaluated (125) according to the scheduled utilization of the vehicle. An operational index of the vehicle is then determined (110) for the utilization periods according to the evaluated functional consequences.

Abstract: A virtual measuring device and a method for measuring the deposition thickness of amorphous silicon being deposited on a substrate is disclosed, where the method of measuring the deposition thickness of amorphous silicon includes predicting and adapting operations. In the predicting operation, during a process of depositing the amorphous silicon to a substrate, the deposition thickness is predicted by multiplying a predicted deposition speed to a deposition time by using a prediction model expressing a relationship between a deposition speed and a plurality of process factors that are correlated with the deposition speed obtained from the deposition thickness and the deposition time, and the predicted deposition thickness is compared with the measured deposition thickness, so that the relationship between the plurality of process factors and the deposition speed in the prediction model is compensated according to the comparison difference.

Abstract: According to embodiments of the invention, a system, method and computer program product producing spike-dependent plasticity in an artificial synapse.

Abstract: Electronic data interchange (EDI) documents are validated by creating an inventory of all rules, dynamically adjusting the inventory based upon entity specific rules derived from a plurality of companion guides, determining a profile containing pointers to select rules in the inventory for each companion guide and storing the profile for each companion guide in a storage. A runtime checker can then be used to check a received EDI document with a corresponding rule set, forward the EDI document if the EDI document matches its current rule set and return the EDI document if the EDI document does not match its current rule set. EDI rules may be enforced, for example, by determining entity-specific rules from corresponding companion guides, by expressing each rule in a neutral and machine readable format, by classifying the rules and/or by creating an inventory of rules and pointers to entity-specific rules.

Abstract: Information processing apparatus in which information such as images and sounds of an external environment are processed for analyzing a position, identity, and the like of a person who is uttering words; information processing methods for executing the analysis processing in an information processing apparatus; and computer-readable media for causing an information processing apparatus to execute analysis processing are disclosed.

Abstract: The invention relates to a method for performing an oilfield operation. The method steps include obtaining oilfield data sets associated with oilfield entities, generating a stochastic database from the oilfield data sets based on an artificial neural network of the oilfield data sets, screening the oilfield data sets to identify candidates from the oilfield entities, wherein the screening is based on the stochastic database, performing a detail evaluation of each candidates, selecting an oilfield entity from the candidates based on the detail evaluation, and performing the oilfield operation for the selected oilfield entity.