Abstract: The present invention is directed in general to a system and method that employs radiological localization ontology to localize specified and modeled radiological domain knowledge. A system and method are provided that allows for consulting the ontology in the context of the model the ontology fulfills. The result of consulting the ontology will be localized radiological information based on information provided in the consultation. Even further, such result is validated, identified and classified radiological information that is based on information provided in the consultation. By consulting the ontology the system is also able to translate designated radiological information from one localized representation to another and consult a language independent radiological domain knowledge.

Abstract: A moving obstacle deciding apparatus includes a search signal transmitting and receiving section 1 for transmitting a search signal, and for receiving the search signal reflected from a search target as a detection signal; a decision reference value calculating section 6 for calculating a decision reference value based on the detection signal received by the search signal transmitting and receiving section 1; and a moving obstacle deciding section 10 for making a decision as to whether the search target is a moving obstacle or not in accordance with a compared result of a difference value between decision reference values obtained by the decision reference value calculating section 6 in time-series searches with a prescribed threshold.

Abstract: Production data classified from a data source, such as a plurality of handprinted forms, is compared to provisional truth data independently classified from the same data source for constructing master truth data. The production data is compared to the master truth data for evaluating the quality with which the production data was classified.

Abstract: A method of controlling movement of an agent operating within an autonomous system includes determining, using a processing device associated with the agent, a highest attraction point for the agent on a line of optimal transmission between a detected event within an area of surveillance by the autonomous system and a base station within the autonomous system, and calculating an attraction force for the agent, based on the line of optimal transmission and location of the detected event; determining proximity of the agent to one or more additional agents operating within the autonomous system, and calculating a repulsion force for the agent so as to maintain a minimum separating distance between the agent and the one or more additional agents; calculating a resultant force for the agent based on the attraction force and the repulsion force; and changing a direction of the agent based on the resultant force.

Abstract: A computer implemented method, apparatus, and computer program product for generating deportment and comportment cohorts. Digital sensor data associated with an individual is received. The digital sensor data comprises event metadata describing a set of events associated with the individual. The set of events comprises at least one of body language, facial expressions, vocalizations, and social interactions of the individual. In response to determining description data for the individual is available, the description data is retrieved. The description data comprises at least one of identification information, past history information, and current status information for the individual. A set of conduct analysis models based on the event metadata and the available description data is selected. The set of conduct analysis models process the event metadata describing the set of events associated with the individual to identify and interpret the set of events.

Abstract: A relation equation between wave information on unpermed hair strands and evaluation values of appearance of whole hair selected from among gloss of the whole hair, order of alignment of the hair strands, and frizziness of the hair strand is acquired from a plurality of subjects. Based on the relation equation, the appearance of whole hair of an arbitrary subject is evaluated from wave information on a hair strand of the arbitrary subject. This allows an objective evaluation of the gloss of whole hair, the order of alignment of hair strands, or the frizziness of the hair strand by a simple technique, and also allows an objective evaluation corresponding to cosmetic specialists' evaluations in terms of equivalent age.

Abstract: Methods, systems, and means for automatically identifying content to he presented are provided. In particular, content may he automatically identified by first determining a duration during which a user will be performing an activity and determining a mood description of the activity. Characteristics of a plurality of the entertainment content that include length of each of the plurality of entertainment content and a mood description of each of the plurality of entertainment content may be retrieved from memory. The retrieved characteristics may then be compared with the duration of the activity and the mood description of the activity. Next, entertainment content from the plurality of entertainment content to be presented during the activity may be automatically selected. Finally, the entertainment content may be presented to the user.

Abstract: In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

Abstract: A predictive destination entry system for a vehicle navigation system to aid in obtaining a destination for the vehicle. The navigation system utilizes a memory for storing data relating to prior driving history or habits. A processor connected with the memory examines the information stored in the memory for making predictions for the current destination desired by a user of the vehicle. The information stored in the memory may be segregated into distinct user profiles and may include the vehicle location, previous driving history of the vehicle, previous searching history of a user of the vehicle, or sensory input relating to one or more characteristics of the vehicle. The navigation system may either confirm the predicted destination with the user of the vehicle before generating or displaying a travel route to the predicted destination or may automatically generate and display the travel route without verifying the destination with the user.

Abstract: Content detection for senders reviews and compares content for sending to one or more profile parameters of a recipient. The one or more profile parameters describe the characteristics of the recipient. Portions of the content determined to be inappropriate or offensive to the recipient based on the recipient's profile parameters are tagged and the sender is alerted. Alternative suggestions to replace those portions in the content may be provided.

Abstract: A compound property prediction apparatus includes a memory storing a training sample library in which a parameter value and a value for a prediction item are preregistered for each individual one of a plurality of training samples and an input device inputting data concerning an unknown sample. Also included is a processor programmed to generate a parameter of the unknown sample, calculate the degree of similarity between the unknown sample and an individual training sample, construct a sub-sample set by extracting training samples whose degree of similarity to the unknown sample is not smaller than a predetermined threshold value, construct a prediction model from the sub-sample set, and calculate the prediction value of the unknown sample based on the prediction model. If necessary, the threshold value is changed until a predetermined minimum number of training samples are included in the sub-sample set.

Abstract: A media player can identify one or more elements of a media presentation and select an element of the media presentation for generating output. The elements may be identified in a playlist or elsewhere. For example, the playlist may specify a composition of a plurality of visual, audio, or other elements for generating output or other behavior in parallel and/or in series over the course of the media presentation. The media player can comprise a playback component configured to utilize at least one selectively-enabled functional component of the media player to generate output based on evaluating the trait(s) exposed by the selected element. Traits may be determined based on analyzing media types or other data regarding the elements of the presentation.

Abstract: A system and method provides video recommendations for a target video in a video sharing environment. The system selects one or more videos that are on one or more video playlists together with the target video. The video co-occurrence data of the target video associates the target video and another video on one or more same video playlists and frequency of the target video and another video on the video playlists is computed. Based on the video co-occurrence data of the target video, one or more co-occurrence videos are selected and ranked based on the video co-occurrence data of the target video. The system selects one or more videos from the co-occurrence videos as video recommendations for the target video.

Abstract: Embodiments treat cyclical behaviors based on behavioral data describing physiological factors affecting the behaviors. According to various embodiments, a processor or probe produce, from the behavioral data, factor data concerning the factors. Using a processor or recommendation engine that analyzes the factor data, treatment data is recommended based on an estimate of how the at least one factor affects the at least one cyclical behavior. A processor or feedback engine determines, from the treatment data, behavioral feedback configured to produce new behavioral data and to harness the effects of the factors to improve the cyclical behaviors.

Abstract: An approach is provided for providing recommendation services while protecting the privacy of personal user information. The approach involves determining a request for at least one recommendation, the request specifying at least in part an anonymized user preference record. The approach also involves causing, at least in part, a comparison of the anonymized user preference record against one or more previously stored anonymized user preference records. The approach further involves causing, at least in part, a selection of the anonymized user preference record, the one or more previously stored anonymized user preference records, or a combination thereof based, at least in part, on the comparison. The approach additionally involves determining to generate the at least one recommendation based, at least in part, on the selection.

Abstract: Embodiments of the invention provide systems and methods for analyzing sequential data. The sequential data can comprise a sequence of data points arranged in a particular order and thus representing a sequence. A number of such sequences can be analyzed, for example, to identify patterns or commonalities within the sequences or portions of sequences represented by the data. According to one embodiment, a method of identifying patterns in sequences of data points can comprise reading a set of sequential data. The sequential data can comprises a plurality of sequences and each of the plurality of sequences can represent an ordered sequence of tokens. A dotplot representing matches between each sequence of the plurality sequences can be generated. One or more patterns within the sequential data can then be identified based on the dotplot.

Abstract: An apparatus that generates a power model for an electronic device, an apparatus that operates in accordance with a generated power model, and methods for generating a power for an electronic device are disclosed. In a particular embodiment, a method of generating a power model for the electronic device includes reducing training data to identify a subset of operating parameters of an electronic device that contribute most to power consumption of the electronic device and generating the power model for the electronic device based on the reduced training data. The power model is operative to predict a power consumption value corresponding to the electronic device responsive to a set of operating parameter values corresponding to operation of the electronic device.

Abstract: A method for recommending an application includes obtaining an input model representing user interaction patterns during execution of a first application. The input model is compared to a reference model representing user interaction patterns during execution of a second application. A similarity is determined between the input model and the reference model. A recommendation of the second application is generated in response to the similarity.

Abstract: An information processing system includes a media information acquisition section that acquires media information, a media information storage section that stores the media information acquired by the media information acquisition section, a usualness level evaluation section that evaluates a usualness level of a user based on information that includes sensor information from at least one of a behavior sensor that measures a behavior of the user, a condition sensor that measures a condition of the user, and an environment sensor that measures an environment of the user, and a write section that writes the usualness level of the user evaluated by the usualness level evaluation section in the media information storage section so that the usualness level is linked to the media information acquired by the media information acquisition section.

Abstract: A method for communicating information associated with emergency calls communicated to emergency response centers includes receiving, by an emergency call analysis system, emergency call information that defines an emergency call communicated to an emergency response center within a geographic region. The emergency call information includes location information of the emergency call. The emergency call analysis system may then determine statistical information associated with emergency calls made within a geographic region. A computer server may then generate browser code executable by a browser to cause the browser to display the statistical information.

Abstract: A system and method for information retrieval are disclosed. The method includes querying a multimedia collection with a first component of a multimedia query (e.g., a text-based part of the query) to generate first comparison measures between the first component of the query and respective objects in the collection for a first media type (e.g., text). The multimedia collection is queried with a second component of the multimedia query (e.g., an image-based part of the query) to generate second comparison measures between the second component of the query and respective objects in the collection for a second media type (e.g., visual). An aggregated score for each of a set of objects in the collection is computed, based on the first comparison measure and the second comparison measure for the object.

Abstract: A procedural inference system is described herein that infers procedural knowledge from various data sources to help a user complete one or more tasks for which the data sources provide information. The system understands users' queries, identifies a task at hand, provides recommendations on the steps to take and the agents to use based on a knowledge base of tasks and agents, and provides the fabric to determine which different agents can work together to help the user accomplish a task. Tasks can be started on one device and completed on another seamlessly. Users are able to finish complex, multi-step tasks efficiently, without trial and error or data reentry. Thus, the procedural inference system provides a generalized framework that helps users to complete tasks using already available data and does not ask each data provider to invest in infrastructure to build dedicated task information systems.

Abstract: A method for predicting a survival rate among individuals, where the survival rate depends in part on a responsiveness of emergency personnel, and the responsiveness of the emergency personnel depends in part on an amount of time taken to route an emergency call to a primary emergency response center, includes determining, by a computer system, a number of emergency calls initially routed to a primary emergency response center. The computer system determines a number of emergency calls initially routed to a secondary emergency response center that, in turn, routes the emergency calls to the primary emergency response center. The computer system calculates a survival rate amount individuals according to a function of the determined number of the number of emergency calls initially routed to a primary emergency response center and the number of emergency calls initially routed to a secondary emergency response center. The calculated survival rate is displayed on a terminal.

Abstract: An apparatus for providing pattern recognition may include at least one processor and at least one memory including computer program code. The at least one memory and the computer program code may be configured to, with the at least one processor, cause the apparatus to at least receive an indication of sensor data descriptive of movement of a user terminal, provide for expansion of the sensor data in a predetermined manner to define outcome values, apply a logical mask to the outcome values to generate selected outcome values for provision to a finite state machine, and utilize a pattern recognition algorithm associated with the finite state machine to determine whether the sensor data corresponds to a pattern identified by proceeding through defined transitions to a final state of the finite state machine. A corresponding computer program product and method are also provided.

Abstract: A search device includes an accelerator and a CPU. The accelerator includes a plurality of search cores and a scheduler. The scheduler is configured to distribute target text to the search cores in units of records ordered by record sequence number, and the search cores are configured to perform automaton matching on the distributed records in a parallel fashion. The CPU is configured to construct an automaton in accordance with a search expression input thereto, and to perform logical expression evaluations in order of the record sequence number on matching results obtained on a record-by-record basis.

Abstract: A method and a system of making a recommendation to a user that is currently generating events based on a subset of historical event data are provided. Historical event data, which is segmented into a set of sessions, is received. Each session includes events. The sessions are associated with clusters that represent the users that generated the historical event data. Each of the associated sessions is associated with one cluster and the number of the clusters is the same as the number of the users. A determination as to which cluster is associated with events currently being generated by a current user's behavior is made. The determining does not require identification of the current user. A recommendation is made to the current user based on the cluster that is associated with the events currently being generated.

Abstract: The location of a user over time is monitored by a mobile device. The monitored locations are organized into tracks that describe a path or route that the user took over a period of time. Segments that correspond to each of the tracks are determined. The segments may correspond to road on a map, or some other standardization. The segments are associated with their corresponding tracks, and used to identify similar tracks or to generate similarity scores for pairs of tracks.

Abstract: A degree of nonlinearity based on intra-wave frequency modulation is proposed here with the value substantially between 0 and 1. The degree of nonlinearity is used for obtaining the state rather than a system. The data required for defining the degree of nonlinearity is the state of the motion or the observed data. For a complicate state with more than one IMF containing prominent energy density, the degree of nonlinearity has also considered the amplitude variations. The combination of the intra-wave frequency modulation and the amplitude variation gives the Combined Degree of nonlinearity. With the definitions of degree of nonlinearity, the nonlinearity characteristic can be quantified, and the discussion of nonlinear effects could be conducted more precisely.

Abstract: Embodiments of methods and systems are described that provide methods for quantifying an entity's reaction to one or more communication signals by quantifying a probabilistic relationship between the communication signal and a known relationship of an attribute to the communication signal. With this quantification, the entity's reaction can be modeled as probability distributions that can be compared to the communication signal and known relationship. With this information, an entity's reactions can be compared to an ideal algorithm that optimally integrates the known relationships and communication signals to arrive at an optimal reaction. By making this comparison between the entity's reaction and an optimal reaction, a quantitative calibration measure can be determined. The meaning of the communication signals, or relationships to an attribute, may or may not be known and in embodiments the quantification of reactions can provide an ability to estimate an unknown attribute from the communication signals.

Abstract: An automatic designing system includes: a rule storage unit storing sets of rewrite rules for rewriting variable nodes of a hierarchically structured graph in a design architecture for the system; a search unit sequentially determining variable nodes as application targets for the rewrite rules by searching the graph, including components in the design architecture for the system to be designed, using a search tree; a judgment unit judging whether the rewrite rule is applicable to the determined variable node; and a rule application unit replacing the determined variable node with a partial graph, including at least one of fixed and variable nodes, according to the rewrite rule, in response to a judgment that the rewrite rule is applicable. The search unit performs the searching until an undefined variable node no longer exists in the graph to be designed, and performs backtracking on condition that no variable node is found.

Abstract: Embodiments of the invention provide techniques for integrating web browsing with a three dimensional (3D) immersive environment. In one embodiment, characteristics describing a user's web browsing history may be used to identify objects that are of interest to the user. The objects of interest may be matched to objects included in a virtual environment. The virtual objects may then be presented to the user within an interface to the virtual environment. In another embodiment, characteristics of user interactions with virtual objects may be used to determine related web content. The related web content may be presented to the user in a web browser.

Abstract: Embodiments of the invention provide the ability to determine whether a particular application may be safely added to a client computing device. Further, embodiments of the invention also allow for performing a rollback operation on clients experiencing a decrease of performance due to an addition of new software. For example, after a client updates to a new piece of software, a server may monitor the performance of the first client by analyzing a plurality of updates received from the first client. Each update may include a performance indicator. Using the updates, the server may detect a decrease in the performance of the first client. Upon detecting the decrease in the performance, the server may initiate a rollback to a previous state on the first client.

Abstract: A computer-implemented system may include determination of a similarity of a semantic projection of a set of interests of a first user to a semantic projection of a first resource, wherein the semantic projection of the set of interests of the first user and the semantic projection of the first resource conforms to a common semantic projection model. Also included may be determination of a semantic interest of the first user for the first resource in a first context based on the similarity of the semantic projection of the set of the interests of the first user to the semantic projection of the first resource, and determination of an interest measure associated with the first user, the first resource and the first context based on a rating prediction for the first user to the first resource in the first context and on the determined semantic interest of the first user for the first resource in the first context.

Abstract: Bodies of media may be summarized in various ways depending on numerous factors, thus resulting in summaries that are tailored to particular desires of consumers. An instruction may be received to provide a summary of at least a portion of the body of media. Software stored in memory may then be executed by a processor to determine one or more factors for providing the summary. The summary may be selected, based on the one or more factors, from a plurality of available summaries stored in memory. The plurality of available summaries corresponds to the at least a portion of the body of media. Finally, the selected summary may be provided to a consumer via an output device.

Abstract: Disclosed are methods and apparatus for providing a set of recommended annotations. A set of tags associated with a content item within a content sharing system is identified, where the content item is associated with a user of the content sharing system. A set of global tag co-occurrences within the content sharing system is identified for the set of tags, where each of the global tag co-occurrences in the set of global tag co-occurrences identifies a pair of tags including one of the set of tags, wherein the pair of tags have both been used together to tag at least one of the content items within the content sharing system. One or more sets of personal tag co-occurrences is identified for the set of tags, where each of the sets of personal tag co-occurrences is used in a corresponding one of one or more personal contexts of the content sharing system, the one or more personal contexts relating to the user of the content sharing system.

Abstract: A method of detecting undesirable content on a social networking website. The method includes retrieving or accessing a post from a user's social networking page, identifying the content of a pre-defined set of features of the post, comparing the identified feature content with a database of known undesirable post feature content, and using the results of the comparison to determine whether the post is undesirable.

Abstract: A method and system for candidate matching, such as used in match-making services, assesses narrative responses to measure candidate qualities. A candidate database includes self-assessment data and narrative data. Narrative data concerning a defined topic is analyzed to determine candidate qualities separate from topical information. Candidate qualities thus determined are included in candidate profiles and used to identify desirable candidates.

Abstract: There is disclosed an anti-intrusion method for a communication network comprising a plurality of network elements. The method comprising the following steps: a) providing a passive monitoring component, a decision making component, and an action making component cooperating with the communication network; b) at the passive monitoring component, detecting management information indicative of an attack against at least one network element, processing the management information thus generating infection data and transmitting the infection data to the decision making component; c) at the decision making component, receiving the infection data, making a decision about an action to be carried out to block the attack, and transmitting the decision to the action making component; and d) at the action making component, based on the decision, instructing the at least one network element to perform the action.

Abstract: A method for decision aiding in batching of items of varying weight, size, or shape into packs of fixed weight and item count, said method characterized by controlling the average weight of items used, by rejecting selected portion of the available pool of items, according to calculated ‘Optimal Usage Curve’, wherein the ‘Optimal Usage Curve’ represents the ‘overweight of batches’ as a function of the ‘ratio of items used’, the ‘overweight of batches’ represents the average batch weight while the ‘ratio of items used’ is the number of items used in the batching process over the total number of items in the pool of items.

Abstract: A method, data processing system, and computer program product for identifying abnormalities in data. A model representing a plurality of modes for an activity generated from training data is retrieved. The training data includes a first plurality of measurements of a first performance of the activity over a period of time. Each of the plurality of modes is identified as one of normal and abnormal. Activity data including a second plurality of measurements of a second performance of the activity is received. A portion of the activity data is compared with the plurality of modes in the model. A notification of an abnormality in the second performance of the activity is generated in response to an identification that the portion of the activity data matches a mode in the plurality of modes identified as abnormal. Confirmation of the abnormality is requested via a user interface.

Abstract: Systems and methods of disaggregating power load are provided. An example of a method is carried out by program code stored on non-transient computer-readable medium and executed by a processor. The method includes receiving time series data representing total energy consumption. The method also includes identifying distinguishing features in the time series data. The method also includes identifying energy consumption constituents of the total energy consumption based on the features.

Abstract: An Augmented Lagrangian Pattern Search (ALPS) algorithm that attempts to solve a non-linear optimization problem subject to non-linear, linear, and, bound constraints is discussed. The present invention utilizes information from the linear and bound constraints, formulates sub-problems using Lagrange parameter estimates and appropriate penalty parameters (using a log barrier), and provides a robust update formulae for parameters which guides the algorithm towards a minimum. The present invention solves a general non-linear optimization problem without using any slack variables to convert the inequality constraints to equality constraints or equality constraints to inequality constraints.

Abstract: According to an aspect of the present invention, there is provided a failure diagnosis system including: a causal relationship information storage unit configured to store causal relationship information representing a causal relationship between events regarding a diagnosis-target apparatus, the causal relationship information including: common causal relationship information that is commonly used in a plurality of types of failure diagnosis regarding the diagnosis-target apparatus; and specific causal relationship information that is used in each specific type of failure diagnosis among the plurality of types of failure diagnosis; and a diagnosis execution unit configured to selectively execute the plural types of failure diagnosis by using a combined causal relationship information that is a combination of the common causal relationship information and a piece of the specific causal relationship information corresponding to a diagnosis-target type of failure diagnosis.

Abstract: The present invention relates to methods and systems for predicting the phenotype conferred by a protein. Such methods and systems facilitate the design, optimization, and assessment of the efficiency of a therapeutic regimen based on the genotype of the disease affecting the patient.

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 evidence evaluation method and system based on question answering converts a report of analyzed information and/or a model of information into a collection of questions, determines answers for the collection of questions. A fact in the report is marked as being supported if one or more of the answers for the collection of questions support the fact. A fact in the report of analyzed facts is marked as being refuted if one or more of the answers for the collection of questions refute the fact. The method and system also may collect the answers as evidence and add the evidence to the model of information to create an updated model of information. The steps may be repeated using the updated report and updated model.

Abstract: A method of knowledge sharing using a computer system is provided. The method includes: receiving a question electronically submitted by a user; forwarding the question and at least one response option to at least one expert using a first computer interface; monitoring selected response options from the at least one expert; and selectively presenting the selected response options to the user using a second computer interface.

Abstract: The present invention provides methods and systems for binary classification of items. Methods and systems are provided for constructing a machine learning-based and pairwise ranking method-based classification model for binary classification of items as positive or negative with regard to a single class, based on training using a training set of examples including positive examples and unlabelled examples. The model includes only one hyperparameter and only one threshold parameter, which are selected to optimize the model with regard to constraining positive items to be classified as positive while minimizing a number of unlabelled items classified as positive.

Abstract: A method and system for developing fault models from unstructured text documents, such as text verbatim descriptions from customers and service technicians. An ontology, or data model, and heuristic rules are used to identify and extract descriptive terms from the text verbatim document. The descriptive terms are then classified into types, including symptoms, failure modes, and parts. Like-meaning but differently-worded descriptive terms are then merged using text similarity scoring techniques. The resultant symptoms, failure modes, parts, and correlations are then assembled into a fault model, which can be used for real-time fault diagnosis onboard a vehicle, or off-board at service shops.

Abstract: A method of using unlabeled data to train a classifier is disclosed. In one embodiment related to record linkage, the method entails retrieving a set of candidate data records from a master database based on a least one update record. Next, a surrogate learning technique is used to identify one of the candidate data records as a match for the one update record. Lastly, the exemplary method links or merges the update record and the identified one of the candidate data records.