Abstract: Briefly, embodiments of a method of classifying a bill are disclosed.

Abstract: A method for judging a risk of cancer recurrence comprising: acquiring an activity value and expression level of a first cyclin dependent kinase (CDK) of a cell contained in tissues extracted from cancer patients, an activity value and expression level of a second CDK, and a number of Ki67-expressing cells or an expression level of Ki67; and judging a risk of cancer recurrence based on the acquired activity value and expression level of the first CDK, the activity value and expression level of the second CDK, and a percentage of Ki67-expressing cells or the expression level of Ki67. A computer program product and a computer system are also disclosed.

Abstract: The invention relates to identifying substances in a sample by similarity comparisons between series of ion mobility spectra of the sample and series of ion mobility spectra of reference samples. The collection of series of spectra of reference samples, termed reference library, are divided into classes, with the class assignment of a series of spectra being calculated from the measured values themselves, and limiting the similarity comparisons to series of spectra with the same class assignment. First and second moments of the spectra have proven to be particularly favorable characteristics for the class assignment.

Abstract: Past realization profiles can be used to predict future realization profiles using a similarity rubric that emphasizes relationships between the past realization profiles. That similarity rubric might involve techniques including manifold characterization of past realization profiles; predictive modeling; and/or matrix factorization. Realization profiles might be related to business projects and track features such as ongoing resource expenditure, revenues realized, or percentage project completion. Realization profiles might relate to other applications such as effectiveness of medical treatment.

Abstract: Methods and software provided for an AI application system that process user's needs through an intelligent user-system interface process. The user-system interface starts from user initial request, followed by system analysis to process with its algorithm, then question user to further clarify the request and refine it into specific request needs, details and categories, then collect, analyze and judge relative information, proceed to guide user find the most appropriate answer for the needs, together with other latest news and community/other users' feedback on this subject, and have the capabilities of assisting user executing the task needs. Thus greatly enhance the usability and efficiency of the artificial intelligence application to the world in information age.

Abstract: Named Entity Recognition in Query (NERQ) involves detection of a named entity in a given query and classification of the named entity into one or more predefined classes. The predefined classes may be based on a predefined taxonomy. A probabilistic approach may be taken to detecting and classifying named entities in queries, the approach using either query log data or click through data and Weakly Supervised Latent Dirichlet Allocation (WS-LDA) to construct and train a topic model.

Abstract: A system and process for intelligently selecting consumable goods, comprising a consumer palate preference device capable of indicating a consumer's palate preferences, a consumable good having attributes, whereby the consumer's palate preferences are compared against the attributes of the consumable good to determine selection. Another aspect of the present invention includes a method of intelligently selecting a consumable good, comprising the steps of using a consumer palate preference device having consumer's palate preferences, comparing the consumer's palate preferences to a consumable good having attributes, and selecting the consumable good based on the consumer's palate preferences. Another aspect of the present invention includes a method of labeling consumable goods, comprising the steps of creating attributes for the consumable goods, scoring the attributes for the consumable goods, and associating the scores of the attributes with the consumable goods.

Abstract: Embodiments of the present invention provide methods of using General Bayesian Networks to automate oilfield operations. In certain aspects, a Monte-Carlo method is used to propagate probability density functions for root-variables to continuous-valued hidden variables reflecting some oilfield operation properties. Evidence in the form of observed properties are used to weight samples used in the Monte-Carlo process thereby propagating the observed values onto other variables. The inferred probability distributions are provided to an oilfield control system or monitoring system.

Abstract: Methods, systems, and computer-readable media to compare values of a bounded domain are disclosed. A particular method includes, for each value in a bounded domain, determining a corresponding set of allowable errors associated with the value. The sets of allowable errors are stored at a memory. The method includes determining a comparison score between a first value of the bounded domain and a second value of the bounded domain based on a comparison of a first set of allowable errors corresponding to the first value and a second set of allowable errors corresponding to the second value.

Abstract: This document discusses, among other things, a method for discovering a new topic. The method includes identifying a first topic within a first document and comparing the first topic to a first set of topics. The method then determines whether an emergence time for the first topic can be identified. The first topic is recognized as a new topic based on the comparison between the first set of topics and the emergence time for the first topic. For example, when the first topic does not exist within the first set of topics and the emergence time for the first topic can be identified, the first topic is recognized as a new topic.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for performing one or more actions utilizing a uniform resource locator. These mechanisms and methods for performing one or more actions utilizing a uniform resource locator can enable improved overall URL usage, more efficient search engine URL results, improved URL comprehension by users, etc.

Abstract: A request to diagnose a problem with an appliance is provided to a diagnostic system whereupon the diagnostic system functions to interpret the information indicative of the problem with the appliance to thereby normalize the information indicative of the problem with the appliance. The normalized information indicative of the problem with the appliance is then used to select from a knowledge base in which is maintained a plurality of solutions each having associated tags that function to identify concepts and values in a domain model a set of possible solutions for the problem with the appliance. As necessary, information within the set of possible solutions for the problem with the appliance is used to dynamically generate additional questions to thereby obtain further information indicative of the problem with the appliance.

Abstract: A method for analyzing a mixture includes identifying a plurality of possible components of the mixture, calculating at least one feature for at least a portion of the plurality of possible components, and calculating a probability value for at least a portion of the plurality of possible components based on the at least one feature and at least one transfer function

Abstract: A method for allocating resources includes receiving one or more parameters associated with an object of interest. At least one of the parameters corresponds to a probability that the object of interest is participating in a predetermined situation of interest. The method also includes calculating a plurality of values, based at least in part on the parameters, and selecting, based at least in part on the calculated values, one or more operations to be performed involving the object of interest. In addition the method includes generating an instruction based at least in part on the operation to be performed transmitting the instruction to an operational resource.

Abstract: An inference apparatus that infers a class of a case is provided. The apparatus includes an inference unit configured to infer a class of a case with use of an inference device and an evaluation unit configured to, based on a result of inference performed by the inference device with respect to a known case that is similar to an unknown case, evaluate a result of inference with respect to the unknown case.

Abstract: A system, method and program product training and verifying using an identity or entity model. A training system is disclosed that includes: a feature correlation system that groups features from an inputted feature data sample into subsets; a plurality of classifiers that determine if each feature classifies into an associated one of a plurality of feature models that make up the entity model; and a boosting system that boosts features from a subset for a next round of training if any of the features classify and at least one correlated feature from the subset does not classify.

Abstract: A method for implementing inter-domain information quality assessment includes calculating relationships among domains in a knowledge base by identifying features that respectively define each of the domains and identifying domains having correlating features. The method also includes assigning values to pairs of the domains that reflect a closeness of the relationships based upon the correlating features. The method further includes evaluating a reputation of an entity in one domain based on past performance of the entity with respect to another domain where the other domain is determined, via the assigned values, to be related to the domain. The past performance of the entity indicates capabilities of the entity to render accurate predictions about events in a particular domain. The method also includes calculating a value representing the reputation of the entity with respect to the domain based upon the evaluation and assigning the value representing the reputation to the entity.

Abstract: Embodiments of the invention disclose a system and a method for determining a nearest neighbor to an input data point on a non-Euclidean manifold. The data points on the non-Euclidean manifold are clustered, projected into Euclidean sub-space nearest to the cluster and mapped from the Euclidean sub-space into a Hamming space such that neighboring data points of the Hamming space corresponds to neighboring data points on the non-Euclidean manifold. The method maps the input data point to the Hamming space corresponding to a particular Euclidean sub-space, wherein the particular Euclidean sub-space is the nearest to the input data point, and selects a data point corresponding to a nearest data point to the input data point in the Hamming space as the nearest neighbor for the input data point on the non-Euclidean manifold.

Abstract: An electronic system includes an accelerometer. A method for excessive mechanical shock feature extraction for overstress event registration and cumulative tracking includes obtaining a sample from the accelerometer. Feature extraction is performed on the sample using empirical mode decomposition (EMD) to produce a plurality of modes. A pattern classifier is utilized for processing the plurality of modes to determine if the sample classifies as a shock event. If the sample classifies as a shock event, a shock event counter is incremented. If the shock event counter reaches a specified count, an indication to a user is generated.

Abstract: Embodiments of the invention discloses a system and a method for determining an encrypted edit distance as an encryption of a minimum cost of transformation of a first sequence into a second sequence based on an insertion cost, a deletion cost, and a substitution cost. The method determines recursively a current element of the matrix as an encryption of a minimum of a first element, a second element, and a third element to produce the dynamic programming solution, wherein the first element represents the insertion cost, the second element represents the deletion cost, and the third element represents the substitution costs, and wherein the current element, the first element, the second element, and the third element are homomorphically encrypted with a public key; and selects the dynamic programming solution as the encrypted edit distance, wherein steps of the method are performed by a first processor and a second processor.

Abstract: Methods, computer readable media, and apparatuses for evaluating risk associated with a process are presented. Input corresponding to one or more risk elements may be received. An exposure score, an impact score, a likelihood score, and an element score may be determined for each risk element. One or more risk category scores may be determined based on the one or more element scores. One or more risk parameter scores may be determined based on the one or more risk category scores. An overall risk score may be determined based on the one or more risk parameter scores. A risk scorecard may be generated, and the risk scorecard may include a risk scorecard that visually depicts one or more of the determined scores.

Abstract: Disclosed herein are various exemplary systems and methods for conducting legal research using clustering analytics. A system for building relationships between passages, the system comprising a passage generation module configured to generate passages from one or more case law documents, an annotation module configured to annotate the passages based on one or more attributes, and a clustering module configured to build relationship clusters between the passages based on the one or more attributes.

Abstract: A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model.

Abstract: An automated method comprises receiving training data representing an initial data set including text representing at least one concept embodied by the data set, using the training data in order to generate a set of atoms, each atom comprising at least one word that represents one or more concepts of the initial data set, wherein generating a set of atoms comprises minimising a cost function using an iterative process to identify one or more atoms.

Abstract: An automated hierarchy classification algorithm that searches for a child monitoring device's parent in a utility monitoring system by segmenting the device data measured by a given device pair and calculating a segment correlation coefficient for each data segment. Devices to be placed in the hierarchy are filtered by calculating the variance of their device data and eliminating devices with a low variance. Devices are ranked by computing the sum of squares of their device data and ordering the devices accordingly from highest to lowest. The device data is segmented and segment correlation coefficients are averaged to produce an overall correlation coefficient. Criteria are evaluated to determine whether a device pair is linked. A correlation coefficient is calculated using the complete data series of a device pair, and the solution produced by this approach is compared with the solution produced by segmenting the device data.

Abstract: Systems and methods for analysis of data associated with fluid flow through a conduit and potential control of the fluid flow. In one embodiment, a method includes a data processing unit obtaining from a sensor a signal representing a series of measurements of a physical parameter associated with fluid flow through the conduit. The data processing unit performs singular spectral analysis of this signal and thereby identifies recurring, possibly non-sinusoidal patterns in the signal. The data processing unit may construct a second signal from some or all of the recurring patterns identified in the first signal. Alternatively, the data processing unit may identify recurring patterns in the signal which are indicative of corresponding conditions associated with the fluid flow through the conduit. The data processing unit may then initiate control functions responsive to the recurring patterns and associated conditions.

Abstract: A movement determination apparatus includes an acquiring unit that acquires a plurality of position information of an object at desired periods, a classifying unit that classifies the plurality of position information acquired by the acquiring unit into a plurality of measurement segments, an estimating unit that estimates existence regions of the object in the plurality of measurement segments, on a basis of the classified plurality of position information, and a determining unit that determines movement of the object position by comparing the existence regions.

Abstract: Provided is an apparatus for selecting a motor controller, the apparatus including a selection calculation unit, an input unit, an output unit, a mechanism condition input unit, a command setting unit, a monitoring unit, and an evaluation unit. The apparatus can select a motor controller registered in the characteristics database and machine parts registered in a mechanism condition characteristics database on the basis of an operation pattern and a mechanism condition. The apparatus can evaluate whether a combination of the motor controller and the machine parts is operable as a machine system.

Abstract: In one or more embodiments, a weldability of a stack-up for use in vehicle part production may be determined. The determination may include receiving general stack-up information, welding standards data for forming a stack-up, and one or more inputs defining one or more stack-up design variables. Additionally, standardized stack-up information may be generated based on the general stack-up information, the one or more design variables, and the welding standards data. Furthermore, historical welding data may be received for predicting a weldability of the stack-up. Predictive logic may be applied to the standardized stack-up information based on the historical welding data to obtain one or more weldability predictions for the stack-up. The one or more weldability predictions may be transmitted for use in vehicle part production.

Abstract: A method for detecting the on and off states of a Parkinson patient, including obtaining inertial data from a patient and verifying if the patient is in an on or off state by using a transformation of the obtained inertial data which uses a model derived from a set of stored data referred to patients in on state and patients in off state.

Abstract: A knowledge management module associated with an organization hierarchically arranges knowledge relevant to the organization. The knowledge management module may communicate with databases internal and external to the organization to connect individuals to information regarding elements within the map. In certain embodiments, the management server also includes, for each element in the knowledge management map, information related to the levels of expertise of personnel associated with the organization. In another embodiment, the knowledge management module may include processing capabilities that allow it to recompute the links between each element of the map when errors have been found or when new elements need to be added.

Abstract: Embodiments relate to providing one or more recommended biological reagents in response to receiving a biological reagent order. An exemplary embodiment includes identifying biological reagents based on a biological reagent order that has been received. Characteristic data of the identified biological reagents may then be evaluated to identify a characteristic conflict among the identified biological reagents. Similarly, inventory data of the identified biological reagents may then be evaluated to identify an inventory conflict among the identified biological reagents. If a conflict, either characteristic or inventory, is identified, a recommendation for an alternative biological reagent may be provided that is free from conflict. Additionally, historical use data may be maintained and referenced to aid in identifying a biological reagent as either a potential biological reagent based on a suspected biological condition or as a substitute biological reagent.

Abstract: The disclosed embodiments provide a system that determines whether to dynamically replicate data segments on a node in a computing cluster that stores a collection of data segments. During operation, the system identifies a data segment from the collection that is predicted to be frequently accessed by future tasks executing in the cluster. The system then determines a slowdown that would result for the current workload of the node if the data segment were to be replicated to the node. The system also determines a predicted future benefit that would be associated with replicating the data segment to the node. If the predicted slowdown is less than the predicted future benefit, the replication system replicates the data segment to the node.

Abstract: A system and a method for detecting events in time-series data are disclosed, wherein the time-series data represent atomic activities sensed by sensors in an environment, and wherein each atomic activity includes a time and a location at which the each atomic activity is sensed, comprising the steps of: mapping a specified event to a Petri net (PN), wherein the specified event is a spatio-temporal pattern of the atomic activities, wherein the spatio-temporal pattern is based only on the time and the location of the atomic activities, such that a spatio-temporal sequence of the atomic activities forms a primitive activity, and the spatio-temporal pattern includes primitive activities and constraints on the primitive activities, wherein the constraints are sequential and/or concurrent; and detecting, in the time-series data, a sensed event corresponding the specified event mapped to the PN to produce a result, wherein the detecting is performed by a processor.

Abstract: A method and apparatus for efficiently generating a processor architecture model that accurately predicts performance of the processor for minimizing simulation time are described. In one embodiment, the method comprises: identifying a performance benchmark of a processor; sampling a portion of a design space for the identified performance benchmark; simulating the sampled portion of the design space to generate training data; generating a processor performance model from the training data by modifying the training data to predict an entire design space; and predicting performance of the processor for the entire design space by executing the processor performance model.

Abstract: At least one embodiment of the present invention is directed to a method and/or an apparatus for automatically providing a common modelling pattern as a function of a plurality of stored process models. The common modelling patterns are identified according to three substeps, namely semantic annotation, extraction of pattern based description and composite process pattern mining. The detected common modelling patterns serve as best practice candidates as regards process engineering. At least one embodiment of the present invention finds application in a variety of domains being related to process management, such as process design, process mining and semantic process planning.

Abstract: A system and method for determining at least one new treatment plan for at least one new patient, comprising: providing at least one representation of the at least one new patient's at least one organ at risk relative to at least one target; searching for at least one prior treatment plan for at least one prior patient with at least one similar representation; and reviewing the at least one prior treatment plan for the at least one prior patient in order to determine whether the at least one new treatment plan can be improved based on information in the at least one prior treatment plan.

Abstract: Described herein are systems and methods for uniquely identifying, or “fingerprinting,” optical fibers based upon hi-resolution measurements of the backscattered light, such as can be performed by an optical frequency-domain reflectometer (“OFDR”). One embodiment of the disclosure of this application is related to a computer readable storage medium including a set of instructions that are executable by a processor. The set of instructions being operable to retrieve a profile for an intended fiber, the profile including unique measurement data of the intended fiber, receive from the OFDR further measurement data from a connected fiber within a network, compare the unique measurement data of the intended fiber to the further measurement data of the connected fiber, and confirm an identity of the connected fiber as being the intended fiber when the unique measurement data matches the further measurement data, and trigger an alert when the unique measurement data does not match the further measurement data.

Abstract: A system and method of processing one or more sensor logs includes receiving a sensor log and identifying a set of entries in the sensor log having a predefined sequence of sensor identifiers. The set of entries may define a velocity event. The method can also provide for calculating an in-home gait velocity for the velocity event. In one example, the method also provides for identifying another set of entries in the sensor log having a sensor identifier that corresponds to a dwell sensor mounted in a doorway, wherein the other set of entries define a dwell event. The method may also provide for calculating an in-home dwell time for the dwell event.

Abstract: Systems and methods for aggregating user data and targeting content to users are described. User data is collected through quizzes and users are associated with a particular fictional or nonfictional character profile based on the user-submitted information. The user data associated with each character profile is aggregated to identify and recommend content for the user, such as television shows, news feed, web pages, promotions, advertisements, and the like. The invention can be used in connection with fan sites or other topic-specific sites that are associated with the character of the character profile.

Abstract: According to one embodiment of the invention, software operating as a state machine may be implemented within a digital device to support out-of-ordering processing of events by the state machine. Upon execution of the software by a processor, the following operations are performed. First, a determination is made if an incoming event is a transition, and if so, if the transition is not a transition associated with the current state of the state machine, but rather, is out-of-order from a predetermined order of transitions supported by the state machine. Upon determining that the transition is out-of-order, a determination is made whether the transition is to a reachable state such as a state prior to the current state of the state machine or to a future state from the current state. If so, the transition is allowed to be undertaken.

Abstract: Described herein are systems and methods for uniquely identifying, or “fingerprinting,” optical fibers based upon measurements from an optical time-domain reflectometer (“OTDR”). One embodiment of the disclosure of this application is related to a computer readable storage medium including a set of instructions that are executable by a processor. The set of instructions being operable to retrieve a profile for an intended fiber, the profile including unique measurement data of the intended fiber, collect further measurement data from a connected fiber within a network, compare the unique measurement data of the intended fiber to the further measurement data of the connected fiber, and confirm an identity of the connected fiber as being the intended fiber when the unique measurement data matches the further measurement data, and trigger an alert when the unique measurement data does not match the further measurement data.

Abstract: An expertise locator enables user defined correspondences between experts and respective certain objects. Each object inherits from classes in a hierarchy. Using the correspondences, a locator processor routine finds a candidate expert about a particular subject area. The candidate expert may be in a correspondence with a certain object whose class is a subclass of the particular subject area. Output may display an indication of the candidate expert, relevant expertise per candidate and/or a list of experts per certain object. In the case of the certain objects being topics, the hierarchy is an ontology of the topics.

Abstract: Architecture that facilitates validation of a data mapping of data from a data source to a data target. There is included a signature generation component that generates a source signature of all or a portion of the data source and a target signature of all or a corresponding portion of the data target, and a sampling component that obtains a sample of the source data a corresponding sample of the target data. The data signatures and data samples are compared respectively and processed with a processing component to determine the status of the validation process.

Abstract: A computer-implemented sepsis alerting method is disclosed. The method involves automatically extracting with a computer system, from records maintained for a patient under care in a healthcare facility, information from a electronic medical record, and obtaining with the computer system information about real-time status of the patient. The method also involves using the information from the electronic medical record and the information about the real-time status to determine whether the patient is likely to be suffering from dangerous probability of sepsis, using information from the electronic medical record to determine whether treatment for sepsis is already being provided to the patient, and electronically alerting a caregiver over a network if it is determined that a potentially dangerous level of sepsis exists and that treatment for sepsis is not already being provided.

Abstract: One embodiment is a method that receives a seed Uniform Resource Locator (URL) that represents a category for website classification. Clickstream data generated from the seed URL and additional URLs are analyzed to determine whether the additional URLs belong to the category. The method selects one or more of the additional URLs to represent the category.

Abstract: The invention refers to a method and system for recommending items of interest to a target and more particularly to a recommender system predicting user interest based on expert opinions.

Abstract: Biomarkers useful for diagnosing and assessing inflammatory disease are provided, along with kits for measuring their expression. The invention also provides predictive models, based on the biomarkers, as well as computer systems, and software embodiments of the models for scoring and optionally classifying samples. The biomarkers include at least two biomarkers selected from the DAIMRK group and the score is a disease activity index (DAI).

Abstract: A system includes reception of metadata associated with one or more measures, determination of a compatibility of the two or more measures based on the metadata, and determination of a first score associated with a first visualization based on the compatibility. Some aspects include determination of a second score associated with a second visualization based on the compatibility, comparison of the first score and the second score, and recommendation of one of the first visualization or the second visualization based on the comparison.

Abstract: A system and method for detecting, diagnosing, and monitoring a disease and determining a disease signature including accessing patient deviation scores indicative of differences between patient data and reference data representative of a population segment, the patient deviation scores derived from longitudinal patient data such that the patient deviation scores include a plurality of sets of patient deviation scores, each set indicative of differences between patient data collected at a respective point in time and the reference data. The system and method also includes identifying a trend in the patient deviation scores for at least one clinical parameter, generating a report including a visual indication of the trend, and outputting the report. The report includes one or more views including Z, T, D, DT, and D feedback on T views, using image and non-image data.