3852 results about "Prediction system" patented technology

An on-demand manager provides an improved distributed data processing system for facilitating dynamic allocation of computing resources among multiple domains based on a current workload and service level agreements. Based on a service level agreement, the on-demand manager monitors and predicts the load on the system. If the current or predicted load cannot be handled with the current system configuration, the on-demand manager determines additional resources needed to handle the workload. If the service level agreement violations cannot be handled by reconfiguring resources at a domain, the on-demand manager sends a resource request to other domains. These other domains analyze their own commitments and may accept the resource request, reject the request, or counter-propose with an offer of resources and a corresponding service level agreement. Once the requesting domain has acquired resources, workload load balancers are reconfigured to allocate some of the workload from the requesting site to the acquired remote resources.

A patient fall prediction system receives video image frames from a surveillance camera positioned in a patient's room and analyses the video image frames for movement that may be a precursor to a patient fall. In set up phase, the viewpoint of the camera is directed at a risk area associated with patient falls, beds, chairs, wheelchairs, etc. A risk area is defined graphically in the viewport. The patient fall prediction system generates a plurality of concurrent motion detection zones that are situated proximate to the graphic markings of the risk areas. These motion detection zones are monitored for changes between video image frames that indicate a movement. The pattern of detections is recorded and compared to a fall movement detection signature. One fall movement detection signature is a sequential detection order from the motion detection zone closest to the risk area in the frames associated with patient falls, to the motion detection zone farthest away from the risk area. The patient fall prediction system continually monitors the motion detection zones for changes between image frames and compiles detections lists that are compared to known movement detection signatures, such as a fall movement detection signature. Once a match is identified, the patient fall prediction system issues a fall warning to a healthcare provider.

A technique for quantitatively expressing a manufacturing difficulty level of a photomask and for efficiently manufacturing the photomask is provided. A mask manufacturing difficulty level different for each mask layout, product, and mask layer is relatively recognized with a mask manufacturing load index calculated by a mask manufacturing load prediction system, and when layout correction is possible, the final layout is corrected to a layout with a low difficulty level, and a mask ordering party provides a mask manufacturer with information regarding the mask manufacturing difficulty level in an early stage. The mask manufacturing load index is expressed with a defect guarantee load index and a lithography load index.

A WCDMA system includes a Base Station (BS) or forward transmitter and a pilot channel that transmits control signals between a Mobile Station (MS) and BS to reconfigure their transmitter/receiver according to the prediction of the channel power and channel power probability density function separated into three distinct equal probable regions. Data signals are encoded using a one-half Viterbi encoder and interleaved. The interleaved data bits are modulated using Quadrature Phase Shift Keying (QPSK) modulation. The QPSK data is multiplexed with the pilot channel and spread by an appropriate code in an OFDM transmitter modified by a long code. Output of the transmitter may be provided to two diverse antennas for reliable communications to the receiver. Data may be received at two diverse antennas. The outputs are provided to match filters coupled to a coherent rake receiver and a channel prediction system. The future attenuation of the channel coefficients and power are determined by the prediction system for several milliseconds. The power levels of each finger in the Rake receiver can be predicted and the strongest ones used in determining the optimum transmitter power or rate control for operating the system transmitters and receivers based on computing a long range power prediction of each finger of a rake receiver.

Systems and methods are disclosed for controlling, diagnosing and prognosing the health of a motorized system. The systems may comprise a diagnostics system, a prognostic system and a controller, wherein the diagnostics system and/or prognostic system employs a neural network, an expert system, and/or a data fusion component in order to assess and/or prognose the health of the motorized system according to one or more attributes associated therewith. The controller may operate the motorized system in accordance with a setpoint and/or a diagnostics signal from the diagnostics system and/or prognostic information. Also disclosed are methodologies for controlling, diagnosing and prognosing the health of a motorized system, comprising operating a motor in the motorized system in a controlled fashion, diagnosing and/or prognosing the health of the motorized system according to a measured attribute associated with the motorized system, wherein the motor may be operated according to a setpoint and/or the diagnostics signal and/or prognosis.

A server allocation controller provides an improved distributed data processing system for facilitating dynamic allocation of computing resources. The server allocation controller supports transaction and parallel services across multiple data centers enabling dynamic allocation of computing resources based on the current workload and service level agreements. The server allocation controller provides a method for dynamic re-partitioning of the workload to handle workload surges. Computing resources are dynamically assigned among transaction and parallel application classes, based on the current and predicted workload. Based on a service level agreement, the server allocation controller monitors and predicts the load on the system. If the current or predicted load cannot be handled with the current system configuration the server allocation controller determines additional resources needed to handle the current or predicted workload. The server cluster is reconfigured to meet the service level agreement.

Methods and apparatus for predicting the incidence of a new virus a within a system based upon previous infections recorded within the system. According to one aspect of the present invention, a method for responding to a virus alert that provides information pertaining to a new virus includes obtaining the virus alert and assessing a risk level associated with the new virus. The risk level indicates the predicted likelihood that the first virus will cause significant damage in the event that the new virus infects the computer system. Finally, the method includes obtaining computer code such as a driver and/or a dat when the risk level indicates that the new virus may pose a significant risk to the computer system.

A method and system for computing a performance forecast for an e-business system or other computer architecture to proactively manage the system to prevent system failure or slow response time. The system is adapted to obtain measured input values from a plurality of internal data sources and external data sources to predict a system's performance especially under unpredictable and dramatically changing traffic levels in an effort to proactively manage the system to avert system malfunction or slowdown. The performance forecasting system can include both intrinsic and extrinsic variables as predictive inputs. Intrinsic variables include measurements of the systems own performance, such as component activity levels and system response time. Extrinsic variables include other factors, such as the time and date, whether an advertising campaign is underway, and other demographic factors that may effect or coincide with increased network traffic.

A system of cell phone positioning in real time is provided with specialized location device installations on multiplicity of base stations BSs in CDMA and TDMA cellular communication networks. The purpose of the positioning system is to enable tracking and locating large quantities of anonymous mobile cell phones MS in any number of network cells to be used for real time traffic-forecasting systems, emergency services E911, and other client-initiated position requests. Location data thus obtained can be continuously updated from vehicular-based cellular phones, collected, processed and used as a basis for input to intelligent transportation systems, such as real time urban traffic guidance for vehicular congestion and intelligent traffic control systems. The system is capable of covering large urban geographical areas and number of independent cell structures serving thousands of mobile cell phone clients. It is an independent plug-in solution with specialized synchronized location device installations in each cell BS. Centrally located specialized location software based on Time of Arrival (TOA) and Time Difference of Arrival (TDOA) methods for high speed location processing in central Location Database Server (LDS). The inventive system consists of number of component functions: Operator-initiated functions, location device functions and software enabled positioning functions.

A traffic information prediction system, including a traffic information prediction apparatus, of the present invention comprises travel status measuring means for measuring a travel status of a vehicle and accumulating it as travel record information, and traffic information predicting means for predicting traffic information on a route on the basis of the travel record information and statistical traffic information to predict an arrival time to any place on a route containing the destination. The traffic information predicting means compares a traveling trace based on the statistical traffic information and the traveling trace based on the travel record information to calculate the degree of progress of the travel record based on the statistical traffic information, and correct the traveling trace based on the statistical traffic information on the basis of the degree of progress.

A supervised learning processing (SLP) system and non-transitory, computer program product provides cooperative operation of a network of supervised learning processors to concurrently distribute supervised learning processor training, generate predictions, and provide prediction driven responses to input objects, such as NL statements. The SLP system includes SLP stages that are distributed across multiple SLP subsystems. Concurrently training SLP's provides accurate predictions of input objects and responses thereto, the SLP system and non-transitory, computer program product enhance the network by providing high quality value predictions and responses and avoiding potential training and operational delays. The SLP system can enhance the network of SLP subsystems by providing flexibility to incorporate multiple SLP models into the network and train at least a proper subset of the SLP models while concurrently using the SLP system and non-transitory, computer program product in commercial operation.

Systems and processes for multilingual word prediction are provided. In accordance with one example, a method includes, at an electronic device having one or more processors and memory, receiving context information associated with a current word; determining, for each of a plurality of languages, a set of monolingual probabilities based on the context information; determining a set of language weights based on the context information; determining a set of multilingual probabilities based on the respective sets of monolingual probabilities and the set of language weights; and providing a plurality of candidate words based on the set of multilingual probabilities.

A collision detection and path prediction system (10) adapted for use with a traveling host vehicle (12) having an operator, includes a locator device (20) configured to determine the current position coordinates, and pluralities of trail and immediate dynamic path coordinates of the vehicle (12) and a communicatively coupled traveling remote vehicle (16). The system further includes a preferred controller (36) configured to predict a collision between the two vehicles (12,16) from the coordinates, and determine a plurality of projected path coordinates for the host vehicle (12) relative to the remote vehicle (16) trail coordinates.

An in-vehicle parking system and method for displaying and analyzing parking information.

System and method for analyzing seismic data from a formation. Stacked seismic data are provided, including a plurality of stack traces, e.g., by collecting seismic data from source and receiver locations and stacking the collected seismic data to produce the stacked seismic data. 3-dimensional (3-D) prestack traces are generated from the plurality of stack traces, e.g., by performing inverse moveout of stack traces, e.g., in a specified neighborhood, at common-depth-points, e.g., by inverse normal moveout, ray tracing, spike synthesis, etc. The inverse moveout corrected traces are convolved to compute predicted multiples which are useable in analyzing the formation. The multiples may be adaptively subtracted from the stacked seismic data, or optionally, from prestack data, to generate processed seismic data useable in analyzing the formation, e.g., for petroleum production potential. Dip moveout (DMO) corrected seismic data may be used, where DMO velocities are adjusted by dividing by cosine of the dip angle.

A method of predicting weather-exacerbated threats, said method comprising inputting localized weather measurement data into a weather threat prediction system; predicting future localized weather conditions based on said localized weather measurement data combined with modeling from large scale weather data including National Weather Service Data; inputting natural environment and infrastructure data into said weather threat prediction system; correlating said infrastructure data with said predicted future localized weather conditions; and determining a threat level index over a region, a threat level indicating an area having a certain probabilistic likelihood of being harmed by said future weather conditions.

The invention discloses a harbor district road traffic demand predicting system which is based on a TransCAD macro simulated platform and is used to obtain harbor district road traffic generation amount in an objective year. The predicting system at least comprises a storage module, a harbor district road network model, a road network model application module, a road network loading distribution unit, an analysis evaluation module and a planning module, wherein the storage module is used to store data basis for predicting harbor district road traffic generation amount; the harbor district road network model inputs a harbor district project map into a TrarsCAD model platform through a harbor district project geographical information database so as to establish the harbor district road network model according to road traffic circulation in a harbor district; the road network model application module optimizes and selects traffic parameters by means of genetic algorithm to obtain a harbor district objective year OD matrix; the road network loading distribution unit is used for obtaining the traffic flow distribution state and traffic circulation state of the entire road network; the analysis evaluation module combines with the traffic distribution result to carry out traffic adaptability analysis evaluation on a future road network planning scheme; and the planning module is used to put forward guidance instructions and overall measures with regard to harbor district road traffic planning.

The invention relates to a fatigue life prediction system for a vehicle body structure of a vehicle in the technical field of vehicle design. The prediction system adopts a road spectrum fitting module to establish a combined road spectrum suitable for a field test; a vehicle body loading spectrum acquisition module is adopted to establish an entire vehicle multi-body rigid-flexible coupled model so as to extract the load-time-history at a connecting passage of the vehicle body and a chassis as the input of vehicle body excitation; an automobile body structure dynamic response analysis module is adopted to establish a finite element model of the vehicle body so as to obtain the static stress history generated by gravity and the dynamic stress history generated by road surface excitation of the vehicle body when the vehicle is under the excitation of the combined road spectrum; a dangerous position identifying module of low fatigue life of the vehicle body is adopted to quickly search dangerous positions of low fatigue life through an S-N method and a Miner linear accumulated damage model, and determine the multiaxial stress state of the dangerous positions by using 'biaxiality' analysis; and a fatigue life prediction module of the vehicle body structure is adopted to predict the fatigue lives of the dangerous positions accurately. The fatigue life prediction system for the vehicle body structure can improve the speed and the precision of the fatigue life prediction for the vehicle body structure so as to provide a reference for a real vehicle test.

In a congestion prediction using measurement data which is acquired by an on-road sensor or a probe car, and which includes none of explicit information about bottleneck points, with respect to time-sequence data on congestion ranges accumulated in the past, data on congestion front-end positions are summarized into plural clusters by the clustering. Representative value in each cluster is assumed as position of each bottleneck. A regression analysis, in which day factors are defined as independent variables, is performed with congestion length from each bottleneck point selected as the target. Here, the day factors refer to factors such as day of the week, national holiday/etc. It then becomes possible to precisely predict a future congestion length.

The invention provides a finite element prediction system for welding and solidifying a crack in virtual environment, which relates to the technical field of finite element prediction software for welding and solidifying a crack, and the complex simulation and the prediction processes of welding and solidifying a crack are simplified into the simple operation and settings of an interface. A preliminary processing subsystem comprises an interface operating module, an MSC.Marc interface document module, a subprogram.f file module and an invocation MSC.Marc software executing and computing module, and a post processing subsystem comprises a MSC.Marc software computed result processing module, a MatrixVB function module, a Matlab software module and a graphic display module; a solidified crack predicting subsystem comprises a resistivity curve loading module, a judgment module and a result output module. The application of the invention enables a common welding engineering technician to carry out the numerical simulation and prediction for welding and solidifying a crack; the computed result is processed, and the storage space of a result file is decreased; the result file is converted into a file format convenient for graphic display, and the computed results of a temperature field and a stress strain field are visually displayed in a graphic form.

A computer implemented sales prediction system collects data relating to events of visitors showing an interest in a client company from plural data sources, an organization module which organizes collected data into different event types and separates the collected event counts in each event type between non-recent events and recent events occurring within a predetermined time period, a first processing module which periodically calculates weighting for each event type based on recent events and non-recent events for the event type compared to totals for other selected event types, a second processing module which periodically calculates sales prediction scores for each visitor and companies with which visitors are associated based on the accumulated event data and weighting, and a reporting and data extract module which is configured to detect variation in sales prediction scores over time to identify spikes which can predict upcoming sales and to provide predicted sales information and leads to the client company.

A hybrid prediction system may aggregate electronic data to identify and initially predict an outcome of a future event and subsequently update the initial prediction. The system may include at least one processor and a memory. The processor may access data scraped from the Internet. The data may be associated with at least one future event. The processor may further store the scraped data, determine, from the scraped data, an initial prediction of the outcome of the at least one future event, generate, from the scraped data, an initial likelihood indication associated with the initial prediction, and transmit the initial prediction and the initial likelihood indication to a device associated with one or more users. The processor may further receive proprietary information, store the proprietary information, determine, using the scraped data and the proprietary information, a subsequent likelihood indication, and transmit the subsequent likelihood indication to the device.

Systems and methods for health data management are disclosed. In one embodiment, a method of monitoring health information for a multi-platform system includes receiving health information from one or more subsystems of a plurality of platforms, and analyzing the health information using one or more reasoner algorithms configured to predict a potential failure of the one or more subsystems. Upon prediction of a potential failure, the method includes providing a prognostic characteristic of the one or more subsystems. In alternate embodiments, the method may further include translating at least some of the health information for each of the one or more subsystems into a common format, and storing the translated health information into a database for subsequent analysis.

The present invention applies a slope predictive control method to a Variable Temperature Control (VTC) system, measuring the slope of the discharge temperature as a function of flow regulation device position, and using this slope to predict the position of the flow regulation device needed to achieve the desired discharge temperature. The present invention also monitors the response of the VTC over time and utilizes a self-learning algorithm to predict the response time of the system in order to determine when further control adjustments need to be taken.

A method includes the steps of determining a first concept from a text of a medical record from an electronic health record system, the first concept relating to a patient, identifying a match to the first concept in a first list of concepts, wherein the first list of concepts is not a predetermined authority, referencing the first concept with an entity in a database of related concepts, identifying a match to a second concept in a second list of concepts, the second list of concepts not directly linked to the first list of concepts except by a relationship to the entity, wherein the second list of concepts is the predetermined authority, and providing the second concept as an identifier of the patient's medical record.