Abstract: Systems and methods for collecting data from one or more scoring candidates, storing such data in a database, and transforming such data using various techniques and software modules to generate a personal tracking and development score that determines an individual's proficiency for skills that are mapped to a job profile are depicted. Users may be ranked or compared against each other with similar units of measure. An attribute score may be used as a benefit for career development similar to the benefit a credit score may provide in assessing a user's financial records.

Abstract: A website and method are disclosed for helping an anonymous individual to publicly disclose anonymous information about the anonymous individual so as to facilitate discovery of the anonymous individual by potential employers interested in hiring the anonymous individual. The website and method reduce risk to the anonymous individual of negative consequences of public disclosure of information about the anonymous individual. The website and method also inherently encourage disclosure to potential employers of more comprehensive information about the anonymous individual.

Abstract: A system and method that provides optimization of order and routing patterns that solves for optimal freight margin, not just freight cost. The optimization includes freight allowance information typically varying by item that is used to determine ordering and routing solutions. The solutions thus are based on freight impact to total landed product cost, not just load freight costs. Optimization results are then translated into performance targets based on freight margin, not just freight expense.

Abstract: Method and arrangement for matching of enterprises and detection of changes for an enterprise by the use of mathematical models that make it possible to match and find similarities between enterprises and also discover changes in an enterprise. The method uses mathematical representation models for enterprises and is suited to make a large number of comparisons automatically. The characteristics of the enterprises are represented by different vectors (74). The direction and length of the vectors are compared by taking the scalar product between them (76). Changes for the characteristics of an enterprise appear as changes in the direction and length of the vectors. By continuously monitoring the derivative of the characteristics of the enterprises this show how large and how quickly a change has occurred (78).

Abstract: A monitoring system for determining the future behavior of a financial system includes an empirical model to receive reference data that indicates the normal behavior of the system and input pattern arrays. Each input pattern array has a plurality of input vectors, while each input vector represents a time point and has input values representing a plurality of parameters indicating the current condition of the system. The model generates estimate values based on a calculation that uses an input pattern array and the reference data to determine a similarity measure between the input values and reference data. The estimate values, in the form of an estimate matrix, include at least one estimate vector of inferred estimate values, and represents at least one time point that is not represented by the input vectors. The inferred estimate values are used to determine a future behavior of the financial system.

Abstract: Systems and methods are provided for implementing risk retention programs for originators and securitizers of asset backed securities. An administrative contract identified as a margin as credit enhancement contract is created for a corresponding asset backed security. A risk retention entity is assigned a long position for the margin as credit enhancement contract corresponding to a predetermined percentage of the asset backed security. A buyer of the asset backed security is assigned a short position for the margin as credit enhancement contract. When the asset backed security expires, a computer device settles the long and short positions of the margin as credit enhancement contract.

Abstract: Systems, methods and computer program products for analyzing stochastic characteristics, including one or more subsystem for forecasting financial statements and financial ratios' probability distributions and configured for at least one of: analyzing insurance contracts and portfolios without simplifying contract and product terms and conditions; studying and illustrating financial statement probability distributions; analyzing insurance portfolios by creating net asset value distributions thereof without deterministic assumptions; modeling to support asset and liability management, wherein both assets and liabilities are simulated simultaneously and decisions are based on joint probability distributions thereof; and modeling to study effects of model specification changes by implementing new model definitions and by rerunning the model with constant random number generator seed.

Abstract: Systems, methods and apparatus are provided through which in some implementations a method of calculating risk of a financial asset by using performance data on past returns, include over-weighting high and low performance periods in the financial asset performance data, and generating an instability estimator of a risk statistic of the financial asset performance data in reference to the over-weighted high and low performance periods.

Abstract: Systems, methods and apparatus are provided through which in some implementations a method of calculating risk of an item by using performance data on past returns, include over-weighting high and low periods in the item data, and generating an estimated forecast of the item performance data in reference to the over-weighted high and low periods.

Abstract: Systems, methods and apparatus are provided through which in some implementations a method of estimating intransmissibility hazard of an item by identifying high and low periods in the item data, and generating an estimated intransmissibility hazard of the item data in reference to the identified high and low performance periods.

Abstract: Systems and methods valuate financial contracts and assess associated risk. Particular embodiments comprise: calibrating parameters of models based on market data; determining a metric for the risk of the models to changes in the parameters; determining a metric for the risk of the parameters to changes in the market data; generating a set of valuation functions corresponding to the contract and depending on the calibrated parameters of the models; generating a corresponding set of derivatives of the valuation functions, the derivatives depending on the metric for the risk of the parameters to changes in the market data; determining a value for the contract to comprise an expected value of one of the valuation functions; and assessing a risk of the value of the contract to one or more variables by determining an expected value of one or more of the set of derivatives of the valuation functions.

Abstract: Systems and methods valuate financial contracts and associated risk. Particular embodiments comprise: receiving valuation details; receiving an internal contract representation describing the contract using: flow sets, each flow set comprising cash flow functions representing a cash flow amount at a cash flow time; and choice functions providing a choice between first and second flow sets. The method involves determining, for each choice function, whether information desirable to make the choice is determinable at a choice time, and if the information is not known for a particular choice function, then replacing the particular choice function with a trigger rule determinable at the choice time and specifying the first or second flow set of its associated choice function. Wherein each trigger rule is based on one or more explanatory stochastic processes which form part of the first and second flow set of its associated choice function.

Abstract: Systems and methods are provided for determining the volatility of weather derivative option contracts. Volatility levels are initially determined with conventional methods. Unreliable volatility levels are then replaced with futures contracts volatility levels. If the futures contracts volatility levels are not available or appear unreliable, meteorological volatility levels are utilized. The data may be reduced to a three dimensional surface and used when determining margin account requirements.

Abstract: A cloud exchange system processes transactions for cloud computing services. Cloud resources may be viewed as commodities, in which cloud customers may be dependent on cloud providers to provide hosted centralized computer facilities. The cloud customer may move computing services in the form of one or more virtual machines by buying a contract that specifies the cloud services and is purchased through the cloud exchange system. The cloud exchange system may receive a request from the cloud customer and an offer from a cloud provider for a cloud service and may match the request and the offer to obtain matched attributes. One of the available contracts may be selected by the cloud exchange system based on the matched attributes of the request and the offer, where the selected contract specifies the cloud service. A transaction charge for the transaction may be determined from at least one of the matched attributes.

Abstract: Systems, methods, apparatus, and computer program products are provided for estimating taxes. In one embodiment, the location of a vehicle can be monitored by a variety of computing entities. By using the vehicle's location, it can be determined when the vehicle enters and/or exits defined geofences. After a determination that the vehicle has entered or exited a defined geofenced area, telematics data can be collected and used to estimate taxes, such as road use taxes and fuel use taxes.

Abstract: An apparatus and method enabling completion of chain of custody services and hands fee collection of urine samples. The technician installs a barrier in a toilet above its water level. Then verifies the donor's identity and directs him to empty his pockets of all contents and remove all accessories from his hands, checks his axillary regions for foreign objects and directs him to wash his hands. The technician installs a collection unit on the toilet seat and directs him to urinate onto the collection unit while under observation at all times. The technician retrieves a urine sample in a sample cup, seals it, and disposes of the used collection unit. The technician directs the donor to sign a record log verifying that he observed the sample collection process and that a new collection unit was used. The technician completes required documentation for the sample and processes it for analysis.

Abstract: A method of facilitating the establishment of a home care facility for the physically impaired by establishing a single source for a body lift assembly, portable shower and portable commode all suitable for installation in a bedroom and wherein the lift assembly is capable of transporting the impaired person between the bed, shower and commode.

Abstract: Features automatically extracted from semi-structured web pages are utilized by a search engine to rank documents that include semi-structured web pages. These features include, but are not limited to, a number of reviews, a number of positive reviews, and/or a number of negative reviews from a web page that includes user reviews. These features also include a number of views of a video that is viewable by way of a semi-structured web page. The features also include a number of subscribers to broadcasts of an individual from a social networking web page and a number of contacts of an individual listed on a social networking web page.

Abstract: A system and method for implementing a learning model for predicting the geographic location of an Internet Protocol (IP) address are disclosed. A particular embodiment of the system and method includes receiving a model to predict a geographic coordinates position of an Internet Protocol (IP) address, the model including one or more parameters and one or more variables associated with coordinates of the IP address and corresponding information associated with the IP address; receiving training data including a plurality of pairs of coordinates of a target IP address and corresponding information associated with the target IP address; determining, by use of a processor, the one or more parameters based on the training data and the model; and returning a result including information indicative of the determined parameters.

Abstract: Machine learning models are used for ranking news feed stories presented to users of a social networking system. The social networking system divides its users into different sets, for example, based on demographic characteristics of the users and generates one model for each set of users. The models are periodically retrained. The news feed ranking model may rank news feeds for a user based on information describing other users connected to the user in the social networking system. Information describing other users connected to the user includes interactions of the other users with objects associated with news feed stories. These interactions include commenting on a news feed story, liking a news feed story, or retrieving information, for example, images, videos associated with a news feed story.

Abstract: A system for learning admission policy for optimizing quality of service of computer resources networks is provided herein. The system includes a statistical data extractor configured to extract historical data of deployment requests issued to an admission unit of a computer resources network. The system further includes a Markov decision process simulator configured to generate a simulation model based on the extracted historical data and resources specifications of the computer resources network, in terms of a Markov decision process. The system further includes a value function generator configured to determine a value function for deployment requests admissions. The system further includes a machine learning unit configured to train a classifier based on the simulation model and the value function, to yield an admission policy usable for processing incoming deployment requests.

Abstract: A parameter setting apparatus for a control parameter for a wireless communication network including a processor, wherein optimizations for optimizing the control parameter are separated into groups which are unrelated to each other, and the processor executes: a first agent program which are assigned to a group-by-group selects an optimization to be activated according to a first value function; and a second agent program which learns a second value function for determining whether an optimization that affects the first value function is to be activated or not and determines whether the optimization is to be activated or not according to the second value function, and, the activation of the optimization by the first agent program is stopped when the second agent program activates the optimization.

Abstract: The present invention relates to a system and methodology facilitating automation security in a networked-based industrial controller environment. Various components, systems and methodologies are provided to facilitate varying levels of automation security in accordance with security analysis tools, security validation tools and/or security learning systems. The security analysis tool receives abstract factory models or descriptions for input and generates an output that can include security guidelines, components, topologies, procedures, rules, policies, and the like for deployment in an automation security network. The validation tools are operative in the automation security network, wherein the tools perform security checking and/or auditing functions, for example, to determine if security components are in place and/or in suitable working order.

Abstract: Systems and methods are described herein for analyzing neural response data that can be assigned to multiple classes. The systems and methods begin with a set of training data from which optimal weight factors are derived. The derived weight factors are used in a classifier which is then applied to test data from test subjects. The classifier filters out the effects of less relevant data in the test data and provides a result in the form of probabilities associated with classes for the test data.

Abstract: An apparatus and a method for transmitting and receiving a spike event in a neuromorphic chip. A transmission apparatus of the neuromorphic chip outputs addresses sequentially and repeatedly to an address bus, and when a spike generated by a neuron is detected by the transmission apparatus, outputs a strobe at a first time when one of the addresses being output sequentially and repeatedly becomes identical to an address of the neuron that generated the spike. A receiving apparatus of the neuromorphic chip inputs an address through the address bus at a strobe detection time when the strobe is detected by the receiving apparatus.

Abstract: Hierarchical routing for two-way information flow and structural plasticity in a neural network is provided. In one embodiment the network includes multiple core modules, wherein each core module has a plurality of incoming connections with predetermined addresses. Each core module also has a plurality of outgoing connections such that each outgoing connection targets an incoming connection in a core module among the multiple core modules. The network also has a routing system that selectively routes signals among the core modules based on a reconfigurable hierarchical organization of the core modules. The network approximates a fully connected network such that each outgoing connection on any core module can target and reach any incoming connection on any core module without requiring a fully connected network. The routing system provides two-way information flow between neurons utilizing hierarchical routing.

Abstract: A method for forecasting hotspots is provided. The method may include the steps of receiving input data at an input of the computational device, generating a temporal prediction based on the input data, generating a geospatial prediction based on the input data, and generating output data based on the time series and geospatial predictions. The output data may be configured to display at least one user interface at an output of the computational device.

Abstract: A computerized method for a distributed assured network system includes a plurality distributed monitoring nodes for sequential feeding the content of respective information sources to a detection agent. The detection agent uses an SPRT-based distributed sequential misbehavior detection scheme to process each MN observation with the probability of a false alarm PFA and probability of a miss detection PMD until a reliable decision can be made that either there is no malicious or faulty behavior detected, or that malicious or faulty behavior is detected. A cognitive reputation agent is provided within a DBG framework processes the output or detection metric from the detection agent relative to past behavior of the information sources to provide a reputation metric to a trust indication that provides an output representing the trustworthiness of information sources.

Abstract: A bearing monitoring system includes at least one sensor, and a fuzzy logic enabled device operatively connected to the at least one sensor. The fuzzy logic enabled device includes a fuzzy logic rule set that is configured and disposed to determine a component condition based on an input from the at least one sensor.

Abstract: A data quality management system includes a rules repository configured to store profiling data quality rules, cleansing data quality rules, and linking data that links profiling data quality rules to cleansing data quality rules. The data quality management system also includes a rules management module configured to manage the rules repository. The data quality management system further includes a data quality job management module configured to migrate data quality rules from the rules repository to a data quality processing system and manage a data quality process performed by the data quality processing system using the migrated data quality rules.

Abstract: An object tracking system and method operable to minimize processing time for tracking objects is provided. The system includes a pair of filters operable to make associations between dynamic objects newly detected and previously detected. One of the pair of filters makes an association when the predicted location of the previously detected objects is within a predetermined distance of the newly detected object. The other of the pair of filters makes an association based upon the probability that a newly detected dynamic object is a previously detected dynamic object. The remaining unassociated dynamic objects are then localized so as to form discrete matrices for optimization filters.

Abstract: Devices, methods, and systems for model based degree-of-angle localization are described herein. One device includes a memory and a processor. The processor is configured to execute executable instructions stored in the memory to construct a model of a number of signals, where the model includes a number of parameters. The processor executes the executable instructions to estimate the number of parameters and calculate range information of the number of signals. The processor executes the executable instructions to estimate a location of a transmitter transmitting the number of signals.

Abstract: Architecture that identifies and learns repeated user behavior (habits) related to routes of travel and points of interest. Once learned, the habits of an individual can be used to make an algorithm more efficient, and hence, the user experience of an application more effective and enjoyable. The capability to more accurately infer user behavior based on user history can be employed to operate (e.g., power down or place in components standby to conserve power) user device resources in a more efficient manner. It can be identified that a user has deviated from a routine route that has associated points of interest to a new route that has associated new points of interest. Once identified, the original set of points of interest for the routine route is then updated with new points of interest. The identification of fixed routes can be determined dynamically as well as deviation from a fixed route.

Abstract: A data partitioning apparatus receives stream data and stores with previous-and-subsequent information that specifies data previous and subsequent to the data. Then, for groups, each of which contains the data that are stored and that are partitioned into the number of the groups, the data partitioning apparatus stores top information specifying data located at the top in a corresponding group and end information specifying data located at the end in the corresponding group. Then, when new data is stored, the data partitioning apparatus specifies data previous and subsequent to the new data and stores the new data by associating it with the previous-and-subsequent information that specifies the data previous and subsequent to the new data. Then, when data is inserted, the data partitioning apparatus updates information for each group such that the difference between the number of data belonging to each group is equal to or less than one.

Abstract: A map difference data generation apparatus includes: most recent and supplementary map data storage devices storing primary most recent and supplementary map data, respectively; a map update reflection device generating secondly most recent and supplementary map data according to an update of a first link, and generating tertiary most recent and supplementary map data according to an update of a second link; a determination device determining a dependency relationship between the update of the first and second links, in accordance with results of searching a route in the tertiary most recent and supplementary map data between first and second nodes, which are both ends of the second link; and a map difference data generation device generating map difference data, which defines a combination of the update of the first and second links, when the update of the first and second links have the dependency relationship.

Abstract: A method, system and computer program product for creating a report on the basis of a plurality of remote datasets includes an intelligence server, one or more tree servers and one or more databases. Each tree server creates one or more segments, or slices, of a report, using information that resides on the tree server. Slices are aggregated into a tree structure, and the tree structure is converted into a report. The intelligence server receives updates from the tree servers. The tree servers and the intelligence server remain in communication for the purposes of passing update messages.

Abstract: Techniques are disclosed for adding a key column to a table to be replicated, where the key column stores key values for use in replication. In one embodiment, a request is received to add a table to a replication domain, such that the table is replicated from a first database server to at least a second database server. Key values are generated for both existing records and new records subsequently requested to be inserted into the table, respectively. Each generated key value is unique across the replication domain. Further, the key column may be added to the table without requiring exclusive access to the table.

Abstract: An Internet-based web application with a database back-end that processes user-entered data to automatically carry out various functions such as updating database tables, communicating with employees, reserving office space, assigning personal identification number, and any number of tasks required to properly manage employees and their information. The application is superior to repetitive manual entry of duplicative data into each employee database that a company manages while efficiently coordinating the various departmental functions required to modify the status and information of new, existing, and departing employees. The application efficiently updates all systems within the company as needed and interacts with users when information is needed from those users at various points in the process.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for distributed execution of related reports. These mechanisms and methods for distributed execution of related reports can enable embodiments to provide parallel execution of related reports. The ability of embodiments to provide parallel execution of related reports can result in higher performance in the execution of the related reports.

Abstract: In accordance with embodiments, there are provided mechanisms and methods for converting a format of report results. These mechanisms and methods for converting a format of report results can provide report results in a format that is usable for multiple purposes. The ability to provide reports results in an application independent format enables versatility of the reports results.

Abstract: A technique for synchronizing a datum between a plurality of stores, wherein a version history is associated with the datum in each store. The version history has one or more entries, and each entry has an identifier and a value. The identifier identifies a store that has modified the datum, and indicates a number of modifications to the datum. When synchronizing the datum between stores, the version histories of the datum are compared to determine whether one version history is subordinate to another version history. The datum having the subordinate version history is then replaced with the datum having the dominant version history. Conflict resolution is required if the version histories are not identical, if the version histories do not have the same identifiers, and if one version history does not contain all of the identifiers with equal or greater values of those in the other version history.

Abstract: Methods and systems for efficient file replication are provided. In some embodiments, one or more coarse signatures for blocks in a base file are compared with those coarse signatures for blocks of a revised file, until a match is found. A fine signature is then generated for the matching block of the revised file and compared to a fine signature of the base file. Thus, fine signatures are not computed unless a coarse signature match has been found, thereby minimizing unneeded time-consuming fine signature calculations. Methods are also provided for determining whether to initiate a delta file generation algorithm, or whether to utilize a more efficient replication method, based upon system and/or file parameters. In accordance with additional embodiments, the lengths of valid data on physical blocks are obtained from physical block mappings for the files, and these lengths and mappings are utilized for delta file generation, to minimize unnecessary signature computations.

Abstract: Methods and systems for storing, providing, and obtaining recovery data. The recovery data is normally used on a mobile device which is no longer available to a user who would otherwise need to perform crucial functions like operating a vehicle, identification, or financial transactions on the mobile device. Recovery data is provided on a medium which enables the user to perform crucial functions at least for a limited duration.

Abstract: A client node on which a file system is mounted can be configured to efficiently handle content access requests after a snapshot is created. The client node can maintain generation numbers at a data block, a file, and a fileset level to determine whether a data block is part of a snapshot generation and consequently whether the data block is writable in a current generation. Data block mappings and write access permissions associated with the data blocks need not be revoked at the client node prior to creating the snapshot. Cached data block mappings can be accessed to identify data blocks for servicing a read request. The data block can be updated in place if the data block is not part of the snapshot generation. The write request can be serviced at a new data block if the data block is part of the snapshot generation.

Abstract: Method, system, and programs for computing similarity. Input data is first received from one or more data sources and then analyzed to obtain an input feature vector that characterizes the input data. An index is then generated based on the input feature vector and is used to archive the input data, where the value of the index is computed based on an improved Johnson-Lindenstrass transformation (FJLT) process. With the improved FJLT process, first, the sign of each feature in the input feature vector is randomly flipped to obtain a flipped vector. A Hadamard transformation is then applied to the flipped vector to obtain a transformed vector. An inner product between the transformed vector and a sparse vector is then computed to obtain a base vector, based on which the value of the index is determined.

Abstract: When requested content is available at a data center, the data center returns the requested content to the data center. When the requested content is locally unavailable at the data center, the requested content is retrieved from an origin server. The retrieval of the content from the origin server may be delayed based on the processing load at the origin server. When retrieval of the content is delayed, the request is prioritized and placed in a queue for handling by the origin server based on the priority of the request. Also, when retrieval of the content is delayed, a status page may be communicated to the browser to inform a user of the delay and provide alternate content and status information related to the request determined as a function of the request or the current state of the origin server.

Abstract: A system and method of identifying fraudulent data in a contact database is disclosed herein. In some embodiments, a set of contact records is received where each of the contact records includes a set of contact field values corresponding to a set of contact fields. Some embodiments determine whether a similar content pattern exists in the contact records using at least one of the set of contact field values. In some embodiments, a determination is made as to whether an unusual content pattern exists in the contact records using at least one of the set of contact field values. The set of contact records is flagged when at least one of the similar content pattern or the unusual content pattern is determined to exist in the contact records.

Abstract: An adjustment method includes reading a record that includes a plurality of columns from a storage unit, determining whether data stored in a certain column in the plurality of columns of the read record has an attribute that corresponds to another column in the plurality of columns when the data does not have an attribute that corresponds to the certain column, and assigning the data to the another column when it is determined that the data has the attribute that corresponds to the another column.

Abstract: The invention notably relates to a computer-implemented method for compressing data. The data is partitioned into clusters of pieces of data resulting from K-means clustering. Each cluster has a centroid. The method comprises applying (S10) a compression scheme to the data. The compression scheme preserves the centroid of each cluster and reduces the variance of each cluster. The method also comprises rescaling (S20) the data by moving the pieces of data towards the centroid of their cluster. Such a method improves the compression of data partitioned into clusters.

Abstract: A relational dependency transform is introduced as a way to exploit information redundancy in conditioning data in a relational database for better compressibility. An optimum relational dependency transform of the relational database is first computed. Fields of the relational database are then sorted topologically based on a weighted, directed graph having nodes representing predictor and predictee fields. For each predictee field in the topological order, a transformed field is then computed via the relationship between predictor and predictee in the optimum relational dependency transform.