Abstract: Specification of a time is received from a device that uses an in-home-presence probability calculation system, a probability that a person is at home at the specified time is calculated on the basis of a specified operation time and a specified correlation when the specified operation time is a time within a period of a certain time ending at the time at which the specification has been received, and information as to whether or not a person is at home is output to the device on the basis of the calculated probability.

Abstract: An efficient parallel Gibbs sampler using butterfly-patterned partial sums is provided. Instead of building and searching a complete prefix sums table, an alternative “butterfly patterned partial sums table” is described that integrates a lightweight transposition and partial sums operation. Accordingly, the usual full matrix transposition and full prefix sums table building operations can be omitted in favor of building the butterfly-patterned partial sums table, which requires less computational and communication effort. This butterfly-patterned partial sums table is used by a modified binary search phase that calculates the needed prefix-sum table values on-the-fly using the butterfly-patterned partial sums table. Transposed memory access is also provided while avoiding the full matrix transform, providing significant performance benefits for highly parallel architectures, such as graphics processing units (GPUs) where 1-stride or sequential memory accesses are important for optimization.

Abstract: An apparatus and method for medical diagnostics includes receiving three-dimensional (3D) volume data of a part of a patient's body, and generating two-dimensional (2D) slices including cross-sections of the 3D volume data cut from a cross-section cutting direction. The apparatus and the method also determine whether a lesion in each of the 2D slices is benign or malignant and output results indicative thereof, select a number of the 2D slices based on the results, and make a final determination whether the lesion is benign or malignant based on the selected 2D slices.

Abstract: Disclosed is a scalable method for automatically deriving the topics discussed most prevalently in unstructured, multilingual text, and simultaneously revealing which topics are more biased towards one or another ‘information space’. The concept of the ‘information space’ is derived from Russian strategic doctrine on information warfare; an example of an ‘information space’ would be the portion of social media in which the Russian language is used. The disclosed method leverages this concept, in conjunction with unsupervised multilingual machine learning, to determine, automatically and without any built-in bias or preconceived notions of what is important, which topics are more discussed, for example, in one language than another. An analyst's attention can then be focused on the most important differences between national discourses, and insight more quickly gained into the areas (both topics and geographic regions) in which propaganda of the sort envisaged in Russian strategic doctrine may be taking hold.

Abstract: Systems and method are implemented by one or more servers associated with a cloud-based security system, for determining security risks of entities including users or groups of users associated with the cloud-based security system and optimizing remediation based thereon. The method includes maintaining logs of transactions through the cloud-based security system; obtaining a plurality of attributes from the transactions while excluding impossible comparison items from the transactions; performing empirical scoring on normalizing the plurality of attributes for ranking risky entities; identifying the risky entities based on one of the empirical scoring and analytics; and updating policies and/or monitoring in the cloud-based system based on the identifying.

Abstract: An information processing method and device thereof are provided according to the embodiments of the disclosure. The information processing method acquires a first file and a second file having a first association relation therebetween, acquires a first object and a second object in the first file, acquires a third object and a fourth object in the second file, and establishes a association relation between the second object and the fourth object in the case that the first object and the third object meet a first preset condition. In the disclosure, the second association relation between the second object in the first file and the fourth object in the second file is established by determining the first file and the second file having the first association relation and by means of the relation between the first object in the first file and the third object in the second file.

Abstract: Systems, methods, devices, and computer products to manage recording resources for programming events of interest are disclosed. A first indication of a first selection of a first programming event to record may be processed, and a recording may be scheduled in a recording schedule. A second indication of a second selection of a second programming event to record may be processed, and available resources to record may be ascertained. A resource conflict may be identified based on event scheduling information for the first and/or second programming event. First and/or second programming metadata may be processed. Availability of alternative viewing options for the first and/or second programming event may be ascertained. The ascertaining may be based on the first and/or second programming metadata. Based on the availability of alternative viewing options, it may be determined whether to maintain or modify the recording schedule, and the recording schedule may be managed accordingly.

Abstract: Form validation is disclosed, including: generating a first parameter and a second parameter in response to a request for a form from a client device; sending a first triggering message including the first parameter and the second parameter to the client device; receiving data associated with submission of the form; and determining whether the data associated with the submission of the form includes the hidden form field that matches the first parameter and a submitted value corresponding to the hidden form field that corresponds to the second parameter, in the event that the hidden form field matches the first parameter and the submitted value corresponding to the hidden form field corresponds to the second parameter, determine that the data associated with the submission of the form is successfully validated.

Abstract: Techniques related to object detection using directional filtering are discussed. Such techniques may include determining directional weighted averages for pixels of an input image, generating a feature representation of the input image based on the directional weighted averages, and performing object detection by applying a multi-stage cascade classifier to the feature representation.

Abstract: Segmentation is the process of partitioning an image into regions under certain rules. One implementation is to separate human objects that appear in a sequence of images (video) from the background. The goal is to find humans and segment them out in real-time, fully automatic (with no user input), and the result is produced immediately after a new image is captured. Once the segmentation process is started, the method is constantly learning (or updating) the decision rule for segmenting out human objects from the background by itself. Moving object detection by a Kalman filter-based approach roughly detects the region where moving objects are present.

Abstract: Consistent contextual patterns may confirm ownership. Current usage of mobile and smart devices may be compared to historical usage. If a device is being used as historically observed, then ownership of the device may be confirmed. If, however, the current usage fails to coincide with historical usage, new ownership may be inferred.

Abstract: Methods and apparatus for calculating granular data of an audience of a target region. An example method includes utilizing minimum cross entropy to apportion aggregate demographics data and aggregate behavioral data of the target region based on granular data of a source region. The example further includes reducing an amount of computer memory resources by calculating the granular data of the audience without collecting person-specific data from audience members of the target region, the granular data of the audience including (A) a count of the audience of the target region satisfying a behavioral constraint and a first demographic constraint and (B) a count of the audience of the target region satisfying the behavioral constraint and a second demographic constraint, the calculated granular data based on the aggregate demographics data of the target region, the aggregate behavioral data of the target region, and the granular data of the source region.

Abstract: A method and system for predicting a next navigation event are described. Aspects of the disclosure minimize the delay between a navigation event and a network response by predicting the next navigation event. The system and method may then prerender content associated with the next navigation event. For example, the method and system may predict a likely next uniform resource locator during web browsing to preemptively request content from the network before the user selects the corresponding link on a web page. The methods describe a variety of manners of predicting the next navigation event, including examining individual and aggregate historical data, text entry prediction, and cursor input monitoring.

Abstract: Provided herein is a non-transitory computer readable medium comprising software configured to enable instructions to create of a multidimensional value model for an event, such as, a travel event. When executed information related to events from all sources is stored and categorized according to the source, value dimension and value description of the event are established and used to create an initial multidimensional value model. If the event is a travel event, the initial model is updated according to user-selected travel events and a recommendation for travel made to the user based on the updated model. Also provided is a distributed cloud computer system that integrates cloud computing with a Distributed Internet Services system and cloud computing methods, particularly, for improving user experience during e-commerce transactions. A non-transitory storage medium tangibly stores processor-executable instructions to execute the methods.

Abstract: According to an embodiment, a memory system includes a memory and a computation unit. Into the memory, data are written. The memory stores therein multiple check matrices. Each of the check matrices is associated with the number of errors in the written data. The computation unit is configured to perform a first error correction on the written data by selectively using, from among the check matrices, a check matrix associated with the number of errors recognized in the written data.

Abstract: A combination model combining a velocity regression method (V-reg) with the modified ANNIE model may be used to predict the stiffness coefficients, Cij, in a transversely isotropic medium without using the Stoneley wave velocity. The stiffness coefficients may be used to characterize the surrounding formation, which may be used in hydraulic fracture modeling, stage/perforation design, and well completion operations (e.g., perforating and fracturing operations).

Abstract: Disclosed is an approach for allowing an entity to perform semantic analysis upon data associated with an entity, and to automatically perform categorization of that data and to generate alerts based on a set of predefined rules. A topic is created based on which to categorize a set of semantically analyzed messages. A set of rules is defined, wherein an alert is generated when the set of rules is satisfied for the semantically analyzed messages.

Abstract: Described herein are techniques and systems for online ad campaign pacing. The techniques described herein use budget allocation along with the estimations of bids and response rates. With use of budget allocation, the techniques can use budget pacing to enhance impressions and maximize desired responses, such as desired click-through rates. These techniques focus on enhancing pacing and performance of ad campaigns, such as enhancing performance across distinct and/or unified online ad marketplaces. These techniques are especially useful in the context of a demand-side platform (DSP). In some examples, the techniques assume that impression supply is much larger than advertiser demand for impressions of their ads, so such techniques focus on selecting high performing inventory of ad space. Yet, with such a focus, a smooth or consistent delivery of ads over time is used.

Abstract: A processing system receives a time series of values of a first metric corresponding to computing system performance. A computation module calculates an autocorrelation function (ACF) based on the time series of values across a set of values of tau. The spacing between each consecutive pair of values in the set of values of tau increases as tau increases. A local maxima extraction module identifies local maxima of the calculated ACF. A period determination module determines a significant period based on spacing between the local maxima and selectively outputs the significant period as a periodicity profile. A baseline profile indicating normal behavior of the first metric is generated based on the periodicity profile. An anomaly identification module selectively identifies an anomaly in present values of the first metric in response to the present values deviating outside the baseline profile.

Abstract: A mirror system includes a visual display disposed to convey information and images during an active period; and the visual display disposed to provide a reflected image during an inactive period; a multi-spectral 3D camera including a high definition video camera and an infrared camera; and a processor coupled to the visual display and the multi-spectral 3D camera.

Abstract: Documents of a set of documents are represented by bag-of-words (BOW) vectors. L labeled topics are provided, each labeled with a word list comprising words of a vocabulary that are representative of the labeled topic and possibly a list of relevant documents. Probabilistic classification of the documents generates for each labeled topic a document vector whose elements store scores of the documents for the labeled topic and a word vector whose elements store scores of the words of the vocabulary for the labeled topic. Non-negative matrix factorization (NMF) is performed to generate a document-topic model that clusters the documents into k topics where k>L. NMF factors representing L topics of the k topics are initialized to the document and word vectors for the L labeled topics. In some embodiments the NMF factors representing the L topics initialized to the document and word vectors are frozen, that is, are not updated by the NMF after the initialization.

Abstract: A video aggregation system presents video content items to multiple users. A first filter is used to filter content items from a first feed and a second feed for a first user. A second filter is used to filter content items from the first feed and the second feed for a second user.

Abstract: Disclosed is a method for generating a site specific model for predicting TPH concentration in soil. The method includes dividing a plurality of soil samples taken from a field site into two sets of samples. One set is analyzed using GC-FID, and the other set is analyzed using a handheld FTIR spectrometer with an ATR window to obtain FTIR-ATR absorbance data. Partial least squares regression analysis is used to correlate the GC-FID TPH concentration data with the absorbance data to generate a calibration model. The model is validated with soil samples having unknown TPH concentration. The model is used to predict the TPH concentration of soil samples taken from the field site analyzed using the handheld Fourier transform-infrared spectrometer to obtain FTIR-ATR absorbance data for the soil samples.

Abstract: For distributed processing using location-based IoT device clusters, using a processor and a memory at a central IoT device, a data source that is to be used for processing a workload is determined. A set of IoT devices that are operating within a threshold distance from the data source at a first time is selected. At the central IoT device, to form a cluster of IoT devices, a subset of the set of IoT devices is selected. Each IoT device in the subset satisfies a clustering condition. The processor at the central IoT device is instructed to configure a device application at a first IoT device in the subset of IoT devices, the device application enabling the first IoT device to participate in the cluster and process the workload.

Abstract: A history information anonymization method is provided that includes associating each of a plurality of pieces of history information collected from a plurality of TVs in a current cycle with a temporary ID associated with a TV at a collection destination. The method also includes getting together a plurality of IDs into a plurality of groups such that for the IDs in each group, contents of history information associated in the current cycle and in a past cycle are identical. The method further includes judging whether each of the plurality of groups satisfies anonymity, and changing only some of the plurality of temporary IDs associated with the plurality of TVs, when it is judged that any of the plurality of groups does not satisfy anonymity.

Abstract: A data architecture for use within a cognitive information processing system environment comprising: a plurality of data sources, the plurality of data sources comprising a public data source and a private data source, the public data source comprising publicly available healthcare information, the private data source comprising privately managed, company specific healthcare information; and, a cognitive data management module, the cognitive data management module accessing information from the plurality of data sources and providing the information to an inference and learning system.

Abstract: A human machine interface (HMI) configured to provide visualizations of one or more device elements that correspond to one or more components in an industrial automation system on an HMI screen. The HMI includes computer-executable instructions stored on a tangible machine-readable medium configured to determine whether at least one of the device elements is associated with an error and modify at least one graphic that corresponds to the at least one of the device elements when the one of the device elements is associated with the error.

Abstract: For distributed processing using clustering of interdependent Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset of the set of devices is selected. Each device in the first subset satisfies a clustering condition. A first device in the subset is instructed to configure a lightweight application to participate in the cluster and process the workload. The processing of the workload is halted on a second device, where the first device has a processing dependency on the second device in processing the workload. A preserved current state of processing the workload is transferred from the first device to a third device. The processing of the workload is continued using the second device and the third device.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving a search query, identifying a plurality of search results that are responsive to the search query, the plurality of search results including a plurality of items of digital content distributed using one or more social networking services, and determining that one or more terms provided in the search query is an active keyword and, in response: defining a first sub-set of items, the first sub-set of items including items of the plurality of items of digital content and being responsive to the active keyword, and providing items in the first sub-set of items for display as a discussion stream within search results.

Abstract: A method for providing suggested modifications to user messages is provided. The method may include receiving user messages associated with a communication application. The method may further include collecting communication application data comprising user information associated with users and group information associated with a group. Additionally, the method may include analyzing the collected communication application data. The method may also include determining user expertise levels associated with users. The method may further include determining message precision levels associated with the received user messages. The method may also include providing suggested modifications to the received user messages.

Abstract: An artificial intelligence system for training a classifier has a database of training data and a modeling system for building a classification model based on the training data. The database has a binary classification for each entity and binary tokens indicating whether or not one or more indicators about the entity are true. The classification model is based on a tempered indication of the tokens. The tempered indication is a ratio of a weighted sum of the tokens for each entity divided by a tempering factor for each of the entities. The tempering factor is a function of the unweighted sum of the tokens for each entity. Thus the tempering factor will reduce the tempered indication when large numbers of low weight tokens are present so that the model does not over predict the probability of an entity being in the classification.

Abstract: Method and system for dynamically assigning control to one or more BOTs to execute at least one task are disclosed. The method comprises tracking user actions on at least one graphical user interface to obtain tracking data, and analyzing the at least one graphical user interface using one or more computerized image processing techniques to obtain screen data, and comparing the tracking data and the screen data with one or more confirmatory predictors. Upon comparing a list of tasks are identified, and the list of tasks comprise the at least one task being performed by the user. Upon determining number of tasks less than a predefined threshold value, the list of tasks is provided to a user. Further, one or more BOTs configured to perform the at least one task are assigned control to execute the at least one task.

Abstract: An example method for positioning feature points of a human face edge including fitting a profile edge curve of a human face edge in a human face image according to the human face image; calculating by using a preset human face edge feature point calculation model to obtain feature points of the human face edge in the human face image; calculating by using a preset convergence algorithm to obtain feature information of a convergence feature point corresponding to each feature point; determining respectively whether a distance from each feature point to the profile edge curve is greater than a distance from a respective corresponding convergence feature point to the profile edge curve; and determining whether a magnitude of overall position change of all the feature points of the human face edge in the human face image before and after the above determination is less than a preset threshold.

Abstract: The present invention provides a diagnosis support system for presenting medical support information on a case. The system includes an inference unit, an acquisition unit, a determination unit, and a display control unit. The inference unit identifies a diagnostic name of the case and obtains its inferred probability in accordance with medical information including a set having a plurality of elements. The acquisition unit acquires an influence of each of first subsets contained in the set and an influence of each of second subsets contained in each of the first subsets upon the inferred probability. The determination unit determines, in accordance with the influence of each of the first subsets and the influence of each of the second subsets, a subset of the plurality of elements that is to be displayed. The display control unit allows a display unit to display the identified diagnostic name and the determined subset.

Abstract: Network of networks (NoN) structure reconstruction employs compressed sensing with multivariate time series data and graph partitioning to reconstruct a node-to-node connection structure of an NoN. The NoN structure reconstruction includes determining an adjacency matrix of the NoN from the multivariate time series data using the compressed sensing. Partitioning a graph representing the determined adjacency matrix into subgraphs provides the reconstruction of the node-to-node connection structure.

Abstract: A computer-implemented method for computing an intersection or an intersection cardinality of each pair of a set in a first list of a plurality of sets and a set in a second list of a plurality of sets, the method including calculating a first union of a predetermined number of sets in the first list, obtaining filtered sets of the second list by filtering out an element from the plurality of sets in the second list, the element being not included in the first union, and intersecting a set in the first list and a set in the filtered sets of the second list.

Abstract: Disclosed are methods, apparatus, systems, and computer-readable storage media for recommending an event to a user. In some implementations, one or more servers receive information identifying a plurality of events. The one or more servers store data of the plurality of events in a first one or more data tables having an action field, an item field, and a user field, and analyze the data of the first one or more data tables to generate one or more pairs, each pair including information identifying a set of events and a target event. The one or more servers may calculate a similarity score for each of the one or more pairs and store the respective similarity score in a second one or more data table having a set field, a target event field, and a similarity score field.

Abstract: Systems and methods for an acoustic hard drive surrogate. In some embodiments, an Information Handling System (IHS) may include a chassis having a hard drive bay, and an acoustic hard drive surrogate coupled to the hard drive bay, where the acoustic hard drive surrogate includes a microphone configured to measure a combined airflow-induced and fan-generated acoustic wave transmitted over the air within the chassis and received at a selected point on a surface of the acoustic hard drive surrogate, and where the measurement excludes vibration received by the acoustic hard drive surrogate through the chassis.

Abstract: A computer system enables users of an Internet application (such as a web site or a mobile application) to specify that they wish to be members of one or more groups. The computer system provides the user with information about activities performed by other users who are members of the same group as the user. For example, the computer system may inform a user of the web pages currently being viewed and/or recently viewed by other users who are members of the same group(s) as the user. Examples of other information that the computer system may inform the user about include amount of time spent by other users in the same group on particular web pages, content shared by those users, and products purchased by those users. Groups may be created by the users themselves and/or by the administrators of the Internet application.

Abstract: An electronic device described herein includes a sensing unit having at least one sensor to acquire sensing data. An associated computing device extracts sensor specific features from the sensing data, and generates a motion activity vector, a voice activity vector, and a spatial environment vector as a function of the sensor specific features. The motion activity vector, voice activity vector, and spatial environment vector are processed to determine a base level context of the electronic device relative to its surroundings, with the base level context having aspects each based on the motion activity vector, voice activity vector, and spatial environment vector. Meta level context of the electronic device relative to its surroundings is determined as a function of the base level context, with the meta level context being at least one inference made from at least two aspects of the plurality of aspects of the base level context.

Abstract: Systems and methods are disclosed for enabling Internet users to schedule recordings of electronic programming content. One method includes displaying on a web page, over the Internet, a user interface element associated with an advertisement for electronic programming content; wherein selection of the user interface element, by a user of a web browsing device, initiates a recording device of the user, separate from the web browsing device, to schedule a recording of the electronic programming content. Another method for enabling Internet users to request television content includes displaying on a web page, over the Internet, a user interface element associated with an advertisement for television content; wherein a user's selection of the user interface element initiates a request for the advertised television content from a carrier that provides television service to the user.

Abstract: In an embodiment, a polymerization process comprises circulating, with a pump, a reaction mixture slurry in a polymerization loop reactor during a polymerization process, detecting a pressure change in the reaction mixture slurry downstream of the pump, generating, by a pressure controller, a takeoff valve actuation signal for a takeoff valve based on the pressure change, generating, by the pressure controller, a correction to the takeoff valve actuation signal, generating, by the pressure controller, a time delay for the correction, applying the correction to the takeoff valve actuation signal to generate a corrected takeoff valve actuation signal, providing the corrected takeoff valve actuation signal to the takeoff valve after the time delay, and adjusting a position of the takeoff valve in response to providing the corrected takeoff valve actuation signal. The reactor pressure is based on the takeoff valve position.

Abstract: A method, system and computer-usable medium are disclosed for enhancing a classification system to include an automatic classification validation system. The automatic classification validation system takes the classification results and automatically validates them for correctness. More specifically, the automatic classification validation system analyzes the data objects in the categories and, if any outliers are identified, then determines a context of the data object from a plurality of records contained within a certain category to determine the context. The classification validation system then uses the context of the data object to validate the classification.

Abstract: For distributed processing using sampled clusters of location-based Internet of Things (IoT) devices, at a central device, a data source to be used for processing a workload is determined. A set is selected of devices operating within a threshold distance from the data source at a first time. A first subset including a first sample number of devices is selected from the set. A ratio is determined of a first amount of a computing resource needed to process the workload and a second amount of the computing resource available in the first subset to process the workload. From the set, to form a cluster, a second subset is selected of a size at least equal to a multiple of the ratio and the first sample number. Each device in the second subset satisfies a clustering condition. A lightweight application is configured at the first device to process the workload.

Abstract: Methods and apparatus to utilize a minimum cross entropy to calculate granular data of a region based on another region for media audience measurement. An example method for calculating granular data of a region for media audience measurement includes determining, by executing first instructions via a processor, aggregate behavioral data associated with a measurement of a media audience of a target region; determining, by executing second instructions via the processor, aggregate demographics data of the target region; and determining, by executing third instructions via the processor, granular data of a source region. The example method includes calculating, by executing fourth instructions via the processor, granular data of the media audience of the target region by utilizing minimum cross entropy to apportion the aggregate demographics data and the aggregate behavioral data of the target region based on the granular data of the source region to determine.

Abstract: A system for providing semantic reasoning includes an extended semantic model, a semantic knowledge database, and an inference engine. The extended semantic model includes existing concepts for a specific knowledge domain, existing relationships among the existing concepts, and logic including conditions and processes that cause a new concept or a new relationship to be inferred from an existing concept or an existing relationship, respectively. The semantic knowledge database includes existing nodes and existing links and the existing nodes represent instances of the existing concepts, and the existing links represent instances of the existing relationships. The inference engine is configured to add new nodes and new links to the semantic knowledge database by following the logic of the extended semantic model.

Abstract: A computer-implemented method for computing an intersection or an intersection cardinality of each pair of a set in a first list of a plurality of sets and a set in a second list of a plurality of sets, the method including calculating a first union of a predetermined number of sets in the first list, obtaining filtered sets of the second list by filtering out an element from the plurality of sets in the second list, the element being not included in the first union, and intersecting a set in the first list and a set in the filtered sets of the second list.

Abstract: Disclosed is a method and Geographic Information System (GIS) for creating a user's proximity model in accordance with a user's feedback. The GIS creates the user's proximity model using a Dempster-Shafer technique. The GIS initializes the user's proximity model upon initializing a fuzzy set with a fuzzy membership function. The fuzzy set includes a plurality of points scattered around a reference point. The GIS creates an intermediate model using the user's proximity model by selecting a group of points from the plurality of points. The GIS receives a user feedback on the intermediate model. The GIS adapts the fuzzy membership function based on the user feedback. The GIS then updates the user's proximity model based on the fuzzy membership function which is adapted on basis of the user feedback.

Abstract: A method and/or computer program product controls a physical spacing between self-driving vehicles (SDVs). One or more processors receive a social network node graph. The social network node graph describes a graphical distance between a first node on the social network node graph and a second node on the social network node graph. The first node represents a first passenger in a first SDV; the second node represents a second passenger in a second SDV; and the graphical distance between the first node and the second node describes a relationship level in a social network between the first passenger and the second passenger. An SDV on-board computer on at least one of the first SDV and the second SDV adjusts a physical spacing between the first SDV and the second SDV proportional to the graphical distance between the first node and the second node.

Abstract: Systems and methods for spoken term detection are provided. A method for spoken term detection, comprises receiving phone level out-of-vocabulary (OOV) keyword queries, converting the phone level OOV keyword queries to words, generating a confusion network (CN) based keyword searching (KWS) index, and using the CN based KWS index for both in-vocabulary (IV) keyword queries and the OOV keyword queries.