281results about How to "Reliable prediction" patented technology

A method and apparatus that utilizes a force-time integral for real time estimation of lesion size in catheter-based ablation systems. The apparatus measures the force exerted by a contact ablation probe on a target tissue and integrates the force over an energization time of the ablation probe. The force-time integral can be calculated and utilized to provide an estimated lesion size (depth, volume and / or area) in real time. The force-time integral may also account for variations in the power delivered to the target tissue in real time to provide an improved estimation of the lesion size. In one embodiment, the force metric can be used as feedback to establish a desired power level delivered to the probe to prevent steam popping.

A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis driven simulations of alternate candidate business actions has been devised and reduced to practice. This business operating system may be used predict the outcome of enacting candidate business decisions based upon past and current business data retrieved from both within the corporation and from a plurality of external sources pre-programmed into the system. Both single parameter set and multiple parameter set analyses are supported. Risk to value estimates of candidate decisions are also calculated.

The patterns of contraction and relaxation of the heart before and during left ventricular or biventricular pacing are analyzed and displayed in real time mode to assist physicians to screen patients for cardiac resynchronization therapy, to set the optimal A-V or right ventricle to left ventricle interval delay, and to select the site(s) of pacing that result in optimal cardiac performance. The system includes an accelerometer sensor; a programmable pace maker, a computer data analysis module, and may also include a 2D and 3D visual graphic display of analytic results, i.e. a Ventricular Contraction Map. A feedback network provides direction for optimal pacing leads placement. The method includes selecting a location to place the leads of a cardiac pacing device, collecting seismocardiographic (SCG) data corresponding to heart motion during paced beats of a patient's heart, determining hemodynamic and electrophysiological parameters based on the SCG data, repeating the preceding steps for another lead placement location, and selecting a lead placement location that provides the best cardiac performance by comparing the calculated hemodynamic and electrophysiological parameters for each different lead placement location.

A diagnostic monitoring system and method is employed for one or more vapor compression systems such as air conditioners and heat pumps having a compressor, an indoor air handler fan coil and an outdoor condensor. Temperature, voltage and current sensors are provided at the outdoor condensor to determine that at least one vapor compression system is operating properly. Data obtained from the sensors is wirelessly transmitted to a receiving-device for use by the systems' custodian or repair service provider and includes information concerning an occurrence of periods when one or more of the vapor compression systems are operating at an abnormal state.

A system and method are disclosed for computing a vehicle's motion in four dimensions (e.g., three spatial dimensions and time) and reliably predicting the vehicle's arrival time at a predetermined location, by providing a graphical display to an operator of the vehicle's progress that enables the operator to adjust the vehicle's movement and achieve the desired arrival time. Specifically, a system and method are disclosed for computing the movement of an aircraft in four dimensions, predicting its arrival time at a predetermined waypoint, and displaying (in a highly intuitive format) the aircraft's progress in achieving that desired arrival time. The pilot can then adjust the movement (e.g., speed) of the aircraft in accordance with the parameter(s) displayed, in order to achieve the desired arrival time. Thus, for example, numerous aircraft could be scheduled to arrive at a specific final approach waypoint at a predetermined rate (e.g., one aircraft per minute), which would enable the traffic controllers to optimize runway traffic without having to stack the aircraft in holding patterns and thereby waste fuel. Notably, although an example of an aircraft navigation and control system and method is disclosed, the system and method can be implemented for any type of vehicle (e.g., aircraft, spacecraft, ship, submarine, bus, train, automobile, etc.) whose operator desires to reach a particular location at a specified time.

A balance between customer satisfaction and cost to providing customer care can be achieved based on the use of online interaction classification techniques. Such techniques can use measurements such as a log likelihood ratio to determine if an interaction should be removed from automation.

CMOS transistors are configured to operate as either a redundant, SEU-tolerant, positive-logic, cross-coupled Nor Gate SR-flip flop or a redundant, SEU-tolerant, negative-logic, cross-coupled Nand Gate SR-flip flop. The register can operate as a memory, and further as a memory that can overcome the effects of radiation. As an SR-flip flop, the invention can be altered into any known type of latch or flip-flop by the application of external logic, thereby extending radiation tolerance to devices previously incapable of radiation tolerance. Numerous registers can be logically connected and replicated thereby being electronically configured to operate as a redundant circuit.

Methods and apparatus are provided for managing a data packet queue corresponding to a resource of a network device. A token count TC is maintained for a predefined flow of data packets, and the transmission of packets in the flow into the queue is controlled in dependence on this token count. The token count is decremented when packets in the flow are transmitted into the queue, and the token count is incremented at a token increment rate C. A bandwidth indicator, indicative of bandwidth availability in the resource, is monitored, and the token increment rate C is varied in dependence on this bandwidth indicator. The bandwidth-dependent variation of the token increment rate C is such that, when available bandwidth is indicated, the increment rate C is increased, and when no available bandwidth is indicated the increment rate C is decreased.

A method for managing a memory device, a memory device so managed and a system that includes such a memory device. A value of a longevity parameter of the device is monitored after a data operation on the device in which the monitoring is performed by the device. A grade of the device is derived from the value. Preferred longevity parameters include a ratio of successfully-processed data to unsuccessfully-processed data and a deviation in a power consumption of the device. The grade serves as a forecast of a life expectancy of the memory. Preferred grades include: a comparison grade, a maximum grade, and an average grade.

A system and method are provided for psychographically profiling a target population of individuals, programmably implemented in a server apparatus. The psychographic segmentation portion includes a questionnaire processing part, a segment solution part, and a typing tool part. The questionnaire processing part acquires a plurality of responses to a predetermined set of questionnaire questions by an initial pool of target population members. The questionnaire processing part uses a combination of weighted statistical methodologies to arrive at a rule-based decision on whether the question would serve as a good wedge variable. Optionally, the rule based decision is then compared to an expert's opinion and the weights and threshold parameters of the weighted statistical combination are adjusted accordingly to more accurately match the expert's decision. The identified wedge variables are used for effectively segregating the target population into groups of homogenous individuals. The typing tool part selectively generates an abbreviated set of questions from the predetermined set of questionnaire questions for profiling an individual respondent to at least one of the segments.

A platform Smart Scalpel system using rapid real-time feedback for effecting laser treatment. The platform system includes an imaging system for rapid real-time detection of tissue characteristics, a processing system for processing the detected characteristics, and a treatment system for effecting treatment in accordance with results of the processing. The platform system provides for preprogramming and real-time inputting conditions and parameters for diagnosis using the imaging system and / or treatment using the treatment system.

The invention discloses a method and a device for predicting road conditions, relating to the field of urban traffic road condition information processing application. The invention can solve the problems that low reliability and easy misdirection are caused if real-time data are used to predict road conditions and accident road conditions can not be reflected if historical data are used for predicting road conditions in the prior art. The invention adopts the technical scheme as follows: the method comprises the following steps: carrying out similarity matching on a real-time mode curve and a historical mode curve to obtain a matching historical mode curve; calculating the weighted average of the sampling point speed of the matching historical mode curve at the next moment and the sampling point speed of the real-time mode curve at the current moment. The technical scheme of the embodiment of the invention is suitable for road condition predicting systems to predict road conditions.

A method and an apparatus determine the frequency or the period of the natural characteristic oscillation of a vehicle, and therefrom determine the mass of the vehicle and provide a warning if a dangerous oscillation condition exists which could lead to a tipping or rollover of the vehicle. The evaluation is carried out while the vehicle is driving. The apparatus includes a sensor such as a rotation rate sensor, a timer, an evaluating unit, and a warning unit. The method involves measuring the time interval between two characteristic features of the oscillation measured by the sensor, such as zero crossings, minimum points or maximum points of the angular velocity of the oscillation, and then calculating the period and / or the frequency of the oscillation from the measured time interval. Then the moment of inertia and / or the mass of the vehicle can be determined from the period or frequency. Also, if the period or frequency is out of a safe range, a warning is triggered to indicate to the driver of the vehicle that a rollover danger exists.

The invention provides a transformer fault prediction method based on monitoring data of a dissolved gas in the oil of a transformer. The method includes the following steps of: optimization of historical online data of the dissolved gas in the oil of the transformer, model identification of the optimized data, estimation of auto-regression moving average model parameters, model checking and establishment. With the transformer fault prediction method adopted, the content of the characteristic gas in the oil of the transformer at any time point in the future can be predicted, and therefore, the faults of the transformer can be judged, and maintenance measures can be put forward. Compared with the prior art, the method can improve sample quality, embody individual characteristics of the transformer and reflect a characteristic that the dissolved gas in the oil changes with time. Since data obtained through adopting the method do not change abruptly, the method can make more stable and concise physical interpretation compared with a prediction model which is established through adopting traditional machine learning. With the transformer fault prediction method adopted, the accuracy of online data prediction of the dissolved gas in the oil of the transformer can be improved, and fault prediction and maintenance measures can be more accurate and reliable; a reliable guarantee can be provided for the maintenance and use of the transformer; and the service life of the transformer can be prolonged.

Software systems, arrangements and processes for evaluating an image associated with at least one portion of an anatomical structure are provided. For example, first information associated with the at least one portion of the anatomical structure second information associated with the at least one portion of the anatomical structure can be received. Third information can be generated by determining a relationship between the first information and the second information. Further, the image can be evaluated using a predetermined pathological scoring criteria and the third information.

The invention discloses a GMS-based (groundwater modeling system) forecast method for ground water seepage fields at different mining levels of a mining area. The method comprises the steps that through performing analytical investigation on hydrogeological conditions of an area, boundary conditions and water containing bodies are generalized, ground water runoff conditions are analyzed, and coefficients of each source sink term are determined; the GMS is adopted to perform finite difference grid division on a simulation area, an initial water head is determined based on the water level of an observation well, hydrological parameters of each simulation sub-area are determined based on a pumping test and the provided data, hydrological module types of the source sink terms in the area are analyzed, assignment is performed on a corresponding hydrogeological map layer by combining the determined source sink term coefficients, and then a subarea map of the osmotic coefficients at different mining levels is obtained; prediction models for ground water seepage fields of a mining area are established based on GMS, and the observation data is utilized to adjust the hydrogeological parameters of the models, and finally, simulation is performed by combining with the discharge capacities at different mining levels to obtain the ground water seepage fields at different mining levels. The method has the advantages of convenience in operation, excellent three-dimensional visualization function and reliable result.

The invention relates to a multi-tunnel assembling-type intelligent ventilation control method of expressway section, which comprises utilizing a continuity character that expressway traffic flow passes through a plurality of tunnels on sections in turn, an antecedence tunnel dopes out traffic flow data and contaminant concentration of a next control periodic time according to actual measured traffic flow and contaminant concentration data, a subsequent tunnel predicts traffic flow data and contaminant concentration of a next control periodic time of the subsequent tunnel according traffic flow of current control cycle of antecedence tunnel and the actual measured traffic flow and contaminant concentration data of the tunnel, and each tunnel controls the starting times of fans according predicted value of contaminant through adopting a model of intelligent fuzzy reasoning. The method can more accurately beforehand predict concentration variation of traffic flow, smog and carbon monoxide in adjacent tunnels, thereby beforehand and accurately controlling starting amount of a jet fan, the control method has excellent ventilation control effect, which can simultaneously reduce energy consumption, and can improve service span of fans.

The invention discloses an autonomous underwater vehicle (AUV) track predicating method based on marine environment information. According to the method, the current track data of an AUV are acquired in real time, the current track data of the AUV are input into an AUV track predicting model for prediction, and then the predicated track of the AUV is obtained. The predicating method of the AUV track predicating model comprises the steps of forming a training sample of the AUV track predicating model, conducting principal component analysis on input data to obtain simplified input data, determining calculating parameters and establishing the AUV track predicating model of the BP neural network, and conducting BP neural network training on the simplified input data to obtain the weight values and threshold values of all layers of the AUV track predicating model. According to the method, measured AUV position data and marine environment data serve as the input of the track predicating model together, so that data are more complete, and then track predicting precision is improved.

The invention belongs to the technical field of information processing, and discloses a climate information acquisition processing method and system, and a storage medium, and the method comprises thesteps: converting coarse-resolution monthly average data in an earth system mode into global climate background field grid point data through longitude and latitude conversion, grid conversion, projection conversion and adjacent point interpolation; carrying out the localized configuration through a regional climate mode WRF, and continuously combining and optimizing a physical parameterization scheme and a numerical mode resolution; integrating the WRF mode by using a forced field output by the earth system mode, and outputting a local meteorological element simulation field with the horizontal resolution of 1km. According to the method, regional weather and climate events under local complex terrain conditions are finely forecasted and predicted, and reliable simulation evaluation and prediction can be performed on the complex terrain and meteorological conditions on the underlying surface by using 1km-level high-resolution data output in a numerical mode.

A method and apparatus determines whether a new node can be added to a wireless network at a specified position. Information concerning existing network nodes that are in the neighborhood of an inputted position of the new node is extracted from a dynamic network management database. The information extracted from the dynamic network management database may include dynamic position data and / or dynamic transmitting / receiving characteristics data of the existing network nodes. The information regarding the existing network nodes neighboring the inputted position of the new network node as extracted from the dynamic network management database is used to calculate a network coverage at the inputted position. Finally, the result of the calculated network coverage at the inputted position is outputted.