1677 results about "Temporal change" patented technology

Apparatus and methods for attenuating environmental interference are described. A wearable monitoring apparatus includes a housing configured to be attached to the body of a subject and a sensor module that includes an energy emitter that directs energy at a target region of the subject, a detector that detects an energy response signal—or physiological condition—from the subject, a filter that removes time-varying environmental interference from the energy response signal, and at least one processor that controls operations of the energy emitter, detector, and filter.

A document categorization system, including a clusterer for generating clusters of related electronic documents based on features extracted from the documents, and a filter module for generating a filter on the basis of the clusters to categorize further documents received by the system. The system may include an editor for manually browsing and modifying the clusters. The categorization of the documents is based on n-grams, which are used to determine significant features of the documents. The system includes a trend analyzer for determining trends of changing document categories over time, and for identifying novel clusters. The system may be implemented as a plug-in module for a spreadsheet application for permitting one-off or ongoing analysis of text entries in a worksheet.

The present invention is a method and system for measuring human emotional response to visual stimulus, based on the person's facial expressions. Given a detected and tracked human face, it is accurately localized so that the facial features are correctly identified and localized. Face and facial features are localized using the geometrically specialized learning machines. Then the emotion-sensitive features, such as the shapes of the facial features or facial wrinkles, are extracted. The facial muscle actions are estimated using a learning machine trained on the emotion-sensitive features. The instantaneous facial muscle actions are projected to a point in affect space, using the relation between the facial muscle actions and the affective state (arousal, valence, and stance). The series of estimated emotional changes renders a trajectory in affect space, which is further analyzed in relation to the temporal changes in visual stimulus, to determine the response.

The present invention is directed generally to providing systems and methods for data analysis. More specifically, embodiments may provide system(s) and method(s) including dynamic user modeling techniques to capture the relational and dynamic patterns of information content and/or users' or entities' interests. Various embodiments may include system(s) and method(s) that are based on, for example, the past history of content semantics, temporal changes, and/or user community relationship. Various embodiments may include modeling and/or analysis of the dynamic nature of an item of interest's value to a user(s)/entity(ies) over time. The dynamic factors may be consider in any manner, such as, individually or combined, sequentially or simultaneously, etc. Further, some embodiments may include, for example, system(s) and method(s) relating to analyzing data to capture user/entity interests and/or characteristics, consider content semantics and evolutionary information, and/or using community relationships of users/entities to thereby analyze information and provide dynamic conclusion(s) (e.g., recommendation(s)).

The power flexibility of energy loads is maximized using a value function for each load and outputting optimal control parameters. Loads are aggregated into a virtual load by maximizing a global value function. The solution yields a dispatch function providing: a percentage of energy for each individual load, a time-varying power level for each load, and control parameters and values. An economic term represents the value of the power flexibility to different players. A user interface includes for each time interval upper and lower bounds representing respectively the maximum power that may be reduced to the virtual load and the maximum power that may be consumed. A trader modifies an energy level in a time interval relative to the reference curve for the virtual load. Automatically, energy compensation for other intervals and recalculation of upper and lower boundaries occurs. The energy schedule for the virtual load is distributed to the actual loads.

A leakage determining method determines whether or not atmospheric air enters a vacuum transfer chamber for transferring a substrate under a vacuum atmosphere between a preliminary vacuum chamber and a processing chamber. The method includes controlling a pressure in the vacuum transfer chamber to a preset pressure by supplying a pressure control gas into the vacuum transfer chamber; performing supply control, when the substrate is not transferred, by reducing the amount of the pressure control gas supplied into the vacuum transfer chamber or stopping the supply of the pressure control gas; and measuring an oxygen concentration in the vacuum transfer chamber after the supply control of the pressure control gas and determining leakage of atmospheric air into the vacuum transfer chamber by determining whether or not atmospheric air whose amount exceeds a preset allowable level enters the vacuum transfer chamber based on temporal changes of the measured oxygen concentration.

Methods and systems incorporating non-linear dynamic (NLD) analysis such as entropy or other complexity analysis monitoring continuous or evoked signals from a biological subject are presented, where such a system comprises of processing steps including: a) the combination of a biological signal evoked as a result of patient stimulation presented to a biological subject and a non-linear analysis method capable of capturing temporal changes in signal order or regularity; b) any combination of processed evoked or continuous central nervous or peripheral physiological mechanisms b) a means to generate a measure indicative of a patient's level of anaesthesia and consciousness depth (A&CD), sedation or sleep/wake state. Methods and systems incorporating a NLD analysis means to improve the discrimination between different signals origins including any combination of: a) central nervous system (CNS), b) peripheral control or nervous system (PNS), c) autonomic control or nervous system (ANS), d) arousals, and e) artifacts.

Monitoring accuracy degrades due to a noise in an environment where there are many sound sources other than those to be monitored. Easy initialization is required for an environment where many apparatuses operate. A sound monitoring system includes a microphone array having multiple microphones and a location-based abnormal sound monitoring section as a processing section. The location-based abnormal sound monitoring section is supplied with an input signal from the microphone array via a waveform acquisition section and a network. Using the input signal, the location-based abnormal sound monitoring section detects a temporal change in a sound source direction histogram. Based on a detected change result, the location-based abnormal sound monitoring section checks for abnormality in a sound field and outputs a monitoring result. The processing section searches for a microphone array near the sound source to be monitored. The processing section selects a sound field monitoring function for the sound source to be monitored based on various data concerning a microphone belonging to the searched microphone array.

The invention discloses a collaborative filtering recommendation method introducing video popularity and user interest change. The method comprises the following steps of: acquiring and processing user behavior data, and thus obtaining a user-video binary incidence matrix; acquiring a video popularity weight and a user interest weight on the basis of the matrix, and introducing the video popularity weight and the user interest weight into a user similarity calculation process; searching the first K neighbors maximally similar to a target user, and predicting an interest value of the target user in a video which does not generate an effective behavior according to the magnitude of the similarity between the target user and a neighbor user; and selecting N videos with the maximum interest value to form a recommendation list, and providing a personalized recommendation for the user. In full consideration of the characteristics of difference in the popularity of the videos in the system and the time-dependent change of user interest, the method is in accordance with an objective fact, so that the user similarity can be accurately calculated, the quality of a collaborative filtering recommendation is improved, and a personalized video recommendation in accordance with the user interest is provided for a video user.

A method for sensing at least one parameter indicative of a logical state of a multi-level memory cell includes the steps of: measuring the parameter of the multi-level memory cell; comparing the measured parameter of the multi-level memory cell with a prescribed reference signal, the reference signal having a value which varies as a function of time; and storing a time value corresponding to a point in time at which the reference signal is substantially equal to the measured parameter of the multi-level memory cell, the stored time value being indicative of a sensed logical state of the multi-level memory cell.

There are provided a performance data generating apparatus and method which is capable of automatically converting original performance data providing an expressionless performance into performance data that enable a variety of musically excellent performances, by means of a novel expression adding converter using various modularized rules and procedures to add expressions based on temporal changes such as tempo and timing, as well as a storage medium that stores a program for executing the method. Performance data are supplied, characteristic information is obtained from the supplied performance data, generating method information is stored which corresponds to predetermined characteristic information and representative of at least one method of generating musical tone control information, generating method information corresponding to the obtained characteristic information is obtained from the stored generating method information, the musical tone control information from the obtained characteristic information and generating method information corresponding to the obtained characteristic information is obtained, and the generated musical tone control information is added to the supplied performance data.

A system for accurate measurement and monitoring of AC or DC electrical current flowing through electrical conductors includes one or more current sensors, a receiver, and one or more calibration signal generators (“CSG's”) that can be plugged into outlets or otherwise coupled to the conductors so as to add automated, time-varying calibration signals to the conductors, such as current pulses or pulse patterns. The sensors are placed on a circuit breaker panel, around a cable, or otherwise near the conductors. The receiver distinguishes the calibration signals by their timing, pulse patterns, frequencies, or other time-varying features, uses their known amplitudes to calibrate the sensitivity of each sensor to each conductor, and determines the current flowing in each conductor. Among other applications, the invention can monitor building current usage, CO and data center power usage and distribution, and power line current leakage, and can calibrate invasive and/or non-invasive current sensors.

The invention discloses a method and a system for predicating self-adaptive disk array failure, which is characterized in that: based on a back-propagation neutral network, historical data of a parameter capable of characterizing the health state of disk array is collected by means of self-learning mechanism of the neutral network, so the rule characterizing the variation of the parameter along with time can be summarized by an approximation method, further predicating the value of the parameter. In the method, three parameter collecting policies from low level to high level, i.e. the first, second and third parameter collecting policies, are set in total, the number of the parameters increases gradually as the time granularity decreases gradually, and a universal calculation model for calculating the health state of disk array according to predicated parameter values and parameter failure thresholds are provided, therefore, the failure condition of disk array can be effectively predicated. The self-adaptive disk array failure predicating system comprises an information acquisition module, a self-adaptive configuration module, a data storage module, a self-adaptive index predication module, a parameter failure threshold module, a user management module and a user interface module.

In a state deciding apparatus, an information acquiring unit acquires pieces of information of different types related to a state of an image forming apparatus. An index value calculating unit calculates an index value based on the pieces of information acquired. A state change deciding unit decides a change in a subsequent state of the image forming apparatus, based on a temporal change in the index value calculated.

A three-dimensional image evaluation unit (100) for evaluating an input image. The parallax statistic is calculated by measuring the parallax included in the input image by a parallax measuring means (3), the static parallax evaluation value for the calculated parallax statistic and/or a dynamic parallax evaluation value for a temporal change in the parallax statistic is determined by a static parallax evaluating means (4-1) and/or a dynamic parallax evaluating means (4-2) of an evaluating means (4) to evaluate parallax information on the image. An abrupt change in the parallax can be evaluated thereby, and countermeasures against errors in measurement and noise of the image can be taken, so that parallax information on the image can be suitably evaluated.

A parameterized scene graph provides mutable (animated) values and parameterized graph containers such that an application program or the like can selectively change certain aspects of the scene graph description while leaving other aspects intact, and also reuse portions of the scene graph with different parameters. To this end, mutable values are provided, which provide the higher level code with hooks into the scene graph enabling the scene description to be changed. The mutable values may be varied over time to provide animation. A parameterized graph container is also described that enables a scene graph portion to be templatized for reuse throughout a scene in a generic way. In this manner, a single parameterized graph container may be efficiently reused in a scene graph, with different values for its parameters.