Abstract: Methods, systems and apparatus, including computer programs encoded on a computer storage medium, for receiving aggregate user data, the aggregate user data corresponding to response rate of one or more answering users responding to requests, processing the aggregate user data to generate an analytical model, the analytical model describing a probability that an average answering user will respond to a request based on response rates of one or more time intervals, receiving a request, identifying a plurality of answering users, processing the analytical model to identify a sub-set of answering users of the plurality of answering users, and transmitting the request to each answering user of the sub-set of answering users.

Abstract: Systems and methods for determining muscle force are presented. Proportional, integral, and derivative control is used to simulate muscle forces for multiple muscles contributing to a kinematic profile. The simulated muscle forces are modified by dynamic gains that are calculated in order to achieve a muscle recruitment objective such as minimizing collective muscle effort while still achieving the kinematic motion.

Abstract: Certain aspects of the present disclosure support a technique for neuronal firing modulation via noise control. Response curve of a typical neuron with a threshold can transition from not firing to always firing with a very small change in the neuron's input, thus limiting the range of excitable input patterns for the neuron. By introducing local, region and global noise terms, the slope of the neuron's response curve can be reduced. This may enable a larger set of input spike patterns to be effective in causing the neuron to fire, i.e., the neuron can be responsive to a large range of input patterns instead of an inherently small set of patterns in a noiseless situation.

Abstract: An earthquake damage prediction and prevention system for determining an impact or damage caused by an earthquake to objects associated with different geographical locations. A central unit with a filter module selects and collects earthquake related data of a plurality of network units. At least one impact ratio table is stored with a first data structure for storing geographical and/or topographical data coordinates of the different geographical locations. The geometric distances of the geographical locations from a hypocenter/epicenter are generated by an intensity calculation module with a coordinates processor.

Abstract: Systems/methods for computing a power spectral density estimate for a noise signal. Where the noise signal appears in two channels (a single channel), n successive data acquisitions from the two channels (the single channel) are used to compute n respective cross (power) spectral densities, which are then averaged. The averaged cross (power) spectral density may then be smoothed in the spectral domain. The magnitude of the smoothed cross (power) spectral density comprises an estimate for the noise power spectral density. An effective number of independent averages may be computed based on the number n, the time-domain window applied to the acquired sample sets, the amount of overlap between successive sample sets, and the shape of the frequency-domain smoothing function. A statistical error bound (or uncertainty measure) may be determined for the power spectral density estimate based on the effective number of averages and the averaged single-channel and cross-channel spectral estimates.

Abstract: Methods and systems for classifying incomplete data are disclosed. In accordance with one method, pairs of features and values are generated based upon feature measurements on the incomplete data. In addition, a transformation function is applied on the pairs of features and values to generate a set of vectors by mapping each of the pairs to a corresponding vector in an embedding space. Further, a hardware processor applies a prediction function to the set of vectors to generate at least one confidence assessment for at least one class that indicates whether the incomplete data is of the at least one class. The method further includes outputting the at least one confidence assessment.

Abstract: A multi-phase process first trains a machine learned rating classifier, and then uses the rating classifier to automatically rate videos in a selected category in a way which mimics human rating. Panels of human viewers rate videos in tuples, and these tuples along with human preference data distilled from the ratings are used to create a training set that is used to train the machine learned rating classifier. The rating classifier becomes capable of predicting human preferences with regards to videos in the selected category. Optionally a second machine learned classifier can be trained to automatically identify videos in the selected category for the panels of human viewers to rate. The output of the multi-phase process can be used to highlight content that is predicted to be higher quality.

Abstract: A dialogue control system that uses an ontology that systematically expresses domain knowledge representing concepts and relationships between concepts to determine questions for a user and implements the questions, and implements a dialogue in accordance with received user answers. One or more dimension-classified ontologies and a basic ontology are stored, a concept from a user response is specified as a condition, and one or a plural number of the dimension-classified ontologies that meet the specified condition are fetched. The content of the fetched dimension-classified ontology/ies is overwritten on the basic ontology, in order according to dimension priorities from the dimension-classified ontology with the lowest dimension priority, and a multidimensional ontology is generated. The dialogue control system uses this multidimensional ontology to control the dialogue.

Abstract: A data processing device may be operable to determine whether the data processing device is in a state of charging a battery. When the data processing device is determined to be in the state of charging the battery, a charging condition of the battery may be analyzed by the data processing device. The data processing device may analyze a viewability condition at a display module. The data processing device may analyze an environmental condition associated with proximity of a human to the data processing device. The data processing device may then choose, based on a result of the analysis of the charging condition, a result of the analysis of the viewability condition and/or a result of the analysis of the environmental condition, display of content in a manner to attract attention to the data processing device.

Abstract: Systems, methods, and computer-readable media for generating a data set are provided. One method includes generating a data set based on input data using a plurality of brokers. The method further includes receiving a request from a user and determining whether the request can be fulfilled using data currently in the data set. When the request can be fulfilled using data currently in the data set, the data is accessed using broker(s) configured to provide access to data within the data set. When the request cannot be fulfilled using data currently in the data set, at least one new broker is spawned using existing broker(s) and additional data needed to fulfill the request is added to the data set using the new broker. The method further includes generating a response to the request using one or more of the plurality of brokers.

Abstract: The location of the memory controllers within the on-chip fabric of multiprocessor architectures plays a central role in latency bandwidth characteristics of the processor-to-memory traffic. Intelligent placement substantially reduces the maximum channel load depending on the specific memory controller configuration selected. A variety of simulation techniques are used along and in combination to determine optimal memory controller arrangements. Diamond-type and diagonal X-type memory controller configurations that spread network traffic across all rows and columns in a multiprocessor array substantially improve over other arrangements. Such placements reduce interconnect latency by an average of 10% for real workloads, and the small number of memory controllers relative to the number of on-chip cores opens up a rich design space to optimize latency and bandwidth characteristics of the on-chip network.

Abstract: A three-dimensional application program framework structure; a method for implementing an application program based on the same; and an automatic testing system based on a three-dimensional application software framework and a method therefor. The three-dimensional application program framework structure provides a framework comprising functions and management of the environment of the system and events to be implemented by the user (developer), and the developer can easily expand the graphic user interface (GUI) and an actual modeling function as required, and user model. In addition, by using an automatic test system based on the framework, it is possible to record the function-execution history of the user and to automatically generate a test case, and to thereby test the functioning of the application software through the use of the test case regardless of changes in the source code and the GUI.

Abstract: An exemplary embodiment of the invention relates to a method for classifying a video sequence (VS), characterized by the steps of analyzing the video sequence using a plurality of genre-specific detector modules (M1-M5), each genre-specific detector module providing a probability value (P1-P5) indicating the probability that the video sequence belongs to the genre assigned to the genre-specific detector module; and analyzing the probability values of the plurality of genre-specific detector modules using a combiner (CM) which analyzes said probability values and generates a classification signal (SC) classifying the video sequence as belonging to a specific genre (g).

Abstract: A system for information retrieval within a database of large size includes a first module for extracting the descriptors associated with each object in the database, and for constructing a table containing the objects and the value of a descriptor associated with an object. The system also includes a second module for applying a number of classification algorithms, for each of the tables obtained from the module, a third module to fusion the results obtained from the module in order to determine, for each type of descriptor, a class number associated with an object, a fourth module for finding which column of a table is closest to the column obtained during the first fusion of the step, and for selecting the map that is closest contained in the table, or best map, and a fifth module to fusion the aggregate “best maps”, and applying an algorithm for searching for the best map to be transmitted to a display means.

Abstract: A portable device for remote chemical assay classification, comprising a computer processor, and an apparatus implemented on the computer processor, the apparatus comprising: an out-of-sample data receiver, configured to receive data defining an out-of-sample extension extracted on a remote computer from classifying test assays of a chemical reaction on the remote computer into at least two groups, and an assay classifier, in communication with the out-of-sample data receiver, configured to classify a new assay of the chemical reaction into one of the groups, using the data defining the out-of-sample extension.

Abstract: The present invention relates to a prosthetic device including a prosthetic joint which accurately transitions between a loose mode and a stiff mode to more accurately mimic a human gait. The prosthetic joint includes a state controller which utilizes a sensor to detect prosthetic joint movement data, and compares it with prosthetic joint movement decision values to determine when a solenoid should be energized to place the prosthetic joint in the loose mode. An optimization unit connects to the prosthetic joint in a prosthetic joint system. The optimization unit generates a plurality of data files containing prosthetic joint movement data corresponding to an amputee walking without stumbling. By iteratively analyzing the prosthetic joint movement data, the optimization unit adjusts the prosthetic joint movement decision values to ensure that the prosthetic joint does not prematurely enter a stumble recovery state.

Abstract: Irregular food manufacturing detection by using conversion pattern in one aspect generates one or more rules associated with amount of resources used to manufacture a food product, collects data associated with a selected manufacturing process of the food product at a selected manufacturer and determines whether the collected data complies with the generated one or more rules. Irregularity may be identified if the collected data does not comply with the generated one or more rules.

Abstract: Apparatus and method for at least partially fitting a medical implant system to a patient is described. These apparatuses and methods comprise executing a genetic algorithm to select a set of parameter values for the medical implant system. This genetic algorithm may comprise generating successive generations of child populations until a confidence threshold is reached. This confidence threshold comprises determining whether the values of each parameter value to be selected have converged on particular value with a specified confidence level. In determining whether the values have converged, one or more initial generations of the search may be excluded in computing the likelihood that the value has converged.

Abstract: Disclosed herein is a protocol that enables the ?/8-gate in chiral topological superconductors in which superconducting stiffness ? has been suppressed. The protocol enables a topologically protected ?/8-gate in any pure Ising system that can be fabricated into genus=1 surface. By adding the ?/8-gate to previously known techniques, a design for universal topologically protected quantum computation which may be implemented using rather conventional materials may be obtained.

Abstract: Systems and methods for forecasting events can be provided. A measurement database can store sensor measurements, each having been provided by a non-portable electronic device with a primary purpose unrelated to collecting measurements from a type of sensor that collected the measurement. A measurement set identifier can select a set of measurements. The electronic devices associated with the set of measurements can be in close geographical proximity relative to their geographical proximity to other devices. An inter-device correlator can access the set and collectively analyze the measurements. An event detector can determine whether an event occurred. An event forecaster can forecast a future event property. An alert engine can identify one or more entities to be alerted of the future event property, generate at least one alert identifying the future event property, and transmit the at least one alert to the identified one or more entities.