107results about How to "Predict in advance" patented technology

Methods and systems utilizing the data provided by a non-contrast-enhanced CAC scan that is left unused by the “whole-heart” Agatston or volume scores. Agatston and volume scores summarize overall coronary calcium burden, but do not show the number of vessels involved, the geographic distribution of the lesions, the size and shape of the individual lesions and the distance of the lesions from the coronary ostium. The methods and systems described herein extract and use the enhanced information provided by 3-D CAC scan data and significantly increases its clinical predictive value by providing vessel and lesion specific CAC scores which are superior to the whole-heart Agatston and volume scores in predicting obstructive Coronary artery disease (CAD).

A method, apparatus, and computer instructions for autonomically counting selected branch instructions executed in a processor to improve branch predictions. Counters are provided to count branch instructions that are executed in a processor to collect branch statistics. A set of branch statistics fields is allocated to associate with a branch instruction. When a program is executed, the stored statistics allows the program to look at the branch statistics in the counter to perform branch prediction. Hence, a user may use branch statistics values from the hardware counter to perform analysis on application code.

A method and apparatus for video intraprediction encoding and decoding are provided. The encoding method includes dividing an input block into at least first and second areas; performing intraprediction-encoding on pixels of the first area; reconstructing the intraprediction-encoded pixels; and predicting pixels of the second area using the intraprediction-encoded pixels of the first area according to a prediction mode of a plurality of prediction modes. The decoding method includes receiving a bitstream comprising data for pixels of a first area and direction information; determining an intraprediction mode for a current block; performing intraprediction-decoding on pixels of the first area; and predicting the pixels of a second area using the received direction information and the intraprediction-decoded pixels for the first area.

A moving picture coding method according to the present invention is a moving picture coding method for coding a moving picture which includes pictures, the method including: partitioning a picture into blocks each of which includes pixels; selecting a scanning scheme from among plural scanning schemes; scanning the blocks according to the selected scanning scheme; and coding the blocks in an order in which the blocks are scanned. In doing so, in the partitioning, the picture is partitioned into rows and columns of macroblocks each of which is partitioned into the blocks. The plural scanning schemes include a first scanning scheme for scanning the blocks in the macroblock per row of blocks.

A picture encoder for encoding picture signals of a lower hierarchy representing pre-set picture signals and picture signals of an upper hierarchy similarly representing pre-set picture signals. The picture encoder includes a first encoding unit for encoding the picture signals of the lower hierarchy using reference picture signals for outputting first pre-set encoded data, a second encoding unit for encoding the picture signals of the upper hierarchy using reference picture signals for outputting second pre-set encoded data, a first decoding unit for decoding the first encoded data for generating first reference picture signals and a second decoding unit for decoding the second encoded data for generating second reference picture signals. The second encoding unit encodes the picture signals using third reference picture signals generated on adaptively switching between the first reference picture signals and the second reference picture signals on the pixel basis.

An intelligent IVR system identifies a customer based on previous customer interactions. Customer intent is predicted for an ongoing interaction and personalized services are proactively offered to the customer. A self-optimizing algorithm improves intent prediction, customer identity, and customer willingness to engage and use IVR.

An entropy decoder is configured to, for horizontal and vertical components of motion vector differences, derive a truncated unary code from the data stream using context-adaptive binary entropy decoding with exactly one context per bin position of the truncated unary code, which is common for horizontal and vertical components of the motion vector differences, and an Exp-Golomb code using a constant equi-probability bypass mode to obtain the binarizations of the motion vector differences. A desymbolizer is configured to debinarize the binarizations of the motion vector difference syntax elements to obtain integer values of the horizontal and vertical components of the motion vector differences; A reconstructor is configured to reconstruct a video based on the integer values of the horizontal and vertical components of the motion vector differences.

A method, apparatus and computer program product are provided to predict faults. Initially, a plurality of features are provided to a plurality of models. A subset of features is selected for each model. The plurality of features selected by a respective model is dependent upon a time scale associated with a respective model. As a result of their dependence upon different time scales, the plurality of selected features provided to a first model will differ from those provided to a second model. The plurality of models process the respective plurality of selected features. The outputs from the plurality of models are fused to generate a measure indicative of an impending fault. By providing different selected features to the models that are dependent upon the associated time scales and by then combining the outputs of the plurality of models, the resulting measure of an impending fault may accurately predict a fault well in advance of its occurrence.

A method for encoding / decoding a motion vector and an apparatus thereof are disclosed. The method includes defining a candidate motion vector set with respect to a current motion vector; selecting a predicted motion vector from the candidate motion vector set; determining a predictability of the predicted motion vector in a decoding apparatus; encoding the current motion vector by using a motion vector prediction mode for indicating the predicted motion vector and the predictability, if the predictability is determined positive; and encoding the current motion vector by using a motion vector prediction mode for indicating a default predicted motion vector and an unpredictability, if the predictability is determined negative. According to the disclosure, it becomes unnecessary to directly notify of the predicted motion vector of the current motion vector to the decoding apparatus, and instead a predetermined shared function is provided to inform of or search the predicted motion vector.

A method of performing branch prediction in a microprocessor using variable length instructions is provided. An instruction is fetched from memory based on a specified fetch address and a branch prediction is made based on the address. The prediction is selectively discarded if the look-up was based on a non-sequential fetch to an unaligned instruction address and a branch target alignment cache (BTAC) bit of the instruction is equal to zero. In order to remove the inherent latency of branch prediction, an instruction prior to a branch instruction may be fetched concurrently with a branch prediction unit look-up table entry containing prediction information for a next instruction word. Then, the branch instruction is fetched and a prediction is made on this branch instruction based on information fetched in the previous cycle. The predicted target instruction is fetched on the next clock cycle. If zero overhead loops are used, a look-up table of a branch prediction unit is updated whenever the zero-overhead loop mechanism is updated. A last fetch address of a last instruction of a loop body of a zero overhead loop in the branch prediction look-up table is stored. Then, whenever an instruction fetch hits the end of a loop body, predictively re-directing an instruction fetch to the start of the loop body. The last fetch address of the loop body is derived from the address of the first instruction after the end of the loop.

A natural family planning device (10) and method which improves the regularity of the female cycle and indicates days during the cycle when there is an increased probability of conception during intercourse. The device (10) provides automated light therapy regimens of varying intensity and duration while the user sleeps with the aim of synchronizing the user's cycle to the illumination cycle provided by the device thereby improving the regularity of the user's cycle. The device also indicates (50, 55) to the user which days of the synchronized cycle represent the highest likelihood of conception during intercourse. This enables the user to time intercourse to coincide with or avoid the dates of increased probability of conception depending on the desire of the user to become or avoid becoming pregnant.

PROBLEM TO BE SOLVED: To provide a perforating pin and equipment for perforation with which an accurate piercing region and piercing direction of a guiding pin can be easily specified at the neck of the femur or its surroundings and an advancing situation of the perforating pin can be confirmed when the perforating pin is pierced.SOLUTION: The guide 1 for the perforating pin includes a main body section 2 which is equipped with a contacting section 8, a guiding channel 3 for the perforating pin and an operation section 9, a first advancing direction of the perforating pin displaying section 5 with which the advancing direction of the perforating pin 10 inserted in the guiding channel 3 can be confirmed by X-ray fluoroscopy, and a second advancing direction of the perforating pin displaying section 6 with which the advancing direction of the perforating pin 10 inserted in the guiding channel 3 can be confirmed by X-ray fluoroscopy from the different direction than the first advancing direction of the perforating pin displaying section 5. The bone perforating pin 10 can be confirmed by X-ray fluoroscopy with the first and the second advancing direction of the perforating pin displaying sections 5 and 6 while the perforating pin 10 inserted in the guiding channel 3 is superimposed on the displaying sections 5 and 6.

The present invention provides a video coding method which includes, as one of a plurality of coding modes, a direct mode generating a piece of motion information of each of Macro Blocks, which are obtained by dividing a first picture, by predicting from motion information of a coded Macro Block of other plurality of second pictures, including: a first step for selecting the direct mode as the coding mode by using a variable selection criterion; and a second step for coding the Macro Blocks based on the selected coding mode.

An intelligent IVR system identifies a customer based on previous customer interactions. Customer intent is predicted for an ongoing interaction and personalized services are proactively offered to the customer. A self-optimizing algorithm improves intent prediction, customer identity, and customer willingness to engage and use IVR.

A visual discovery tool for automotive manufacturing with network encryption, data conditioning, and prediction can include an extraction device configured to receive data records from application-specific file source databases. The tool can further include a vehicle alert database that receives the vehicle records from the plurality of extraction databases. The visual discovery tool can include at least one hardware processor in communication with the extraction device and the vehicle alert database. The tool can be configured to selectively restrict access to an interactive display based on whether a client device receives authorization credentials.

The invention provides an epidemic disease forecasting method, system and equipment, and relates to the technical field of epidemic disease forecasting. The method comprises the steps that the epidemic disease relevant data are acquired, wherein the relevant data include the internet data, the weather data and the biological information data acquired by the intelligent terminal, and the internet data include the search data and the social network data; the data cleaning is performed on the relevant data; an integrated forecasting model is established according to the relevant data after data cleaning; and forecasting is performed according to the integrated forecasting model and the forecasting result is outputted. According to the epidemic disease forecasting method, system and equipment,the data sources are wider, the forecasting effect is better, the forecasting accuracy is higher, the cost is lower and the effectiveness is higher and the possible epidemic disease outbreak can be forecasted earlier.

An alertness prediction bio-mathematical model for use in devices such as a wearable device that improves upon previous models of predicting fatigue and alertness by gathering data from the individual being monitored to create a more accurate estimation of alertness levels. The bio-mathematical model may be a two-process algorithm which incorporates a sleep-wake homeostasis aspect and a circadian rhythm aspect. The sleep-wake homeostasis aspect of the model is improved by using actigraphy measures in conjunction with distal skin, ambient light and heart rate measures to improve the accuracy of the sleep and wake estimations. The circadian rhythm model aspect improves fatigue prediction and estimation by using distal skin, heart rate and actigraphy data. The sleep-wake homeostasis and circadian rhythm aspects may also be combined with additional objective and subjective measures as well as information from a user to improve the accuracy of the alertness estimation even further.

The invention discloses an ultrasonically local discharging metering system under an onsite environment. The system comprises a background control platform and a far-end measuring device, wherein the background control platform comprises an upper computer and a first optical emitting receiving module; the upper computer is connected with the first optical emitting receiving module; the far-end measuring device comprises a second optical emitting receiving module, a standard signal generating module, a standard signal modulating module, a broadband power amplifying module, an impedance matcher, an ultrasonic transducer, a standard sound sender, a broadband sound emitting collecting module, a digital encoder and a far-end battery power supply module. The ultrasonically local discharging metering system under the onsite environment provided by the invention can enhance the technical management capacity for the accuracy and reliability of ultrasonic local discharging overhaul measuring data, can efficiently monitor the reliability of the measuring data of an electrifying detector and an online monitoring device in a running process and can monitor the accuracy and reliability of the measuring data of an ultrasonic local discharging online monitoring device.

The invention relates to an air travel scheduling platform that incorporates turbulence forecast and other safety data into search results and flight query filters such that air travelers can choose flight options that minimize their risk of experiencing turbulence, or exposure to other hazardous events. It also allows travelers to monitor turbulence and other hazardous forecasts for specified flights.

The present invention relates to a fresh water acute criteria prediction method based on a quantitative structure-activity relationship for metals. An unknown toxic endpoint of a metal is predicted according to a quantitative relationship between structural characteristics of heavy metal ions and acute toxicity effects of aquatic organisms, and hazard concentrations for protecting the aquatic organisms of different proportions are derived from sensitivity distribution analysis on different species. The fresh water acute criteria prediction method is a method for establishing a metal toxicity predictive model by integrating physicochemical structural parameters of heavy metals and toxic mechanisms of different aquatic organisms and applying the metal toxicity predictive model to prediction of an unknown criteria reference value.

The present invention provides a video coding method which includes, as one of a plurality of coding modes, a direct mode generating a piece of motion information of each of Macro Blocks, which are obtained by dividing a first picture, by predicting from motion information of a coded Macro Block of other plurality of second pictures, including: a first step for selecting the direct mode as the coding mode by using a variable selection criterion; and a second step for coding the Macro Blocks based on the selected coding mode.

Systems and methods which provide Generative Adversarial Network (GAN) based intra prediction for video coding are described. GAN based intra prediction as implemented according to embodiments may be modeled as an inpainting task. For example, intra prediction may be formulated as a learning based inpainting task, wherein a latent variable is designed to control different generation modes. GAN based intra prediction provided according to embodiments of the invention may be implemented alone or in combination with one or more other video compression technique, such as a direction intra prediction technique. The intra prediction module of such a HEVC encoder / decoder may be redesigned to also apply GAN based inpainting in intra prediction, wherein Rate-Distortion Optimization (RDO) may be performed to select the best intra prediction mode between the intra prediction approaches.

A method, apparatus and computer program product are provided to predict faults. Initially, a plurality of features are provided to a plurality of models. A subset of features is selected for each model. The plurality of features selected by a respective model is dependent upon a time scale associated with a respective model. As a result of their dependence upon different time scales, the plurality of selected features provided to a first model will differ from those provided to a second model. The plurality of models process the respective plurality of selected features. The outputs from the plurality of models are fused to generate a measure indicative of an impending fault. By providing different selected features to the models that are dependent upon the associated time scales and by then combining the outputs of the plurality of models, the resulting measure of an impending fault may accurately predict a fault well in advance of its occurrence.

The invention addresses confounding difficulties involving continuous sweat analyte measurement. Specifically, the present invention provides: at least one component capable of monitoring whether a sweat sensing device is in sufficient contact with a wearer's skin to allow proper device operation; at least one component capable of monitoring whether the device is operating on a wearer's skin; at least one means of determining whether the device wearer is a target individual within a probability range; at least one component capable of generating and communicating alert messages to the device user(s) related to: wearer safety, wearer physiological condition, compliance with a requirement to wear a device, device operation; compliance with a behavior requirement, or other purposes that may be derived from sweat sensor data; and the ability to utilize aggregated sweat sensor data that may be correlated with information external to the device to enhance the predictive capabilities of the device.

Systems, apparatuses and methods for determining a risk of catastrophic failure for a tree based on a mechanistic model of physical characteristics of the tree are described. The systems, apparatuses and methods include a mobile sensing platform comprising one or more sensors for obtaining data, a transport vehicle configured to transport the mobile sensing platform, a positioning sensor configured to precisely calculate geographic coordinates of the positioning sensor and the location of the positioning sensor relative to a reference object as positioning data, and a processor configured to fuse the imaging data and the positioning data in order to determine conditions for catastrophic tree failure.

An automated method and system for diagnosing sleep disorders and predicting treatment effectiveness using data collected on the user using an automated application including questionnaire, facial recognition technology, and historical user and patient data. The data can be used by a diagnostic and treatment prediction algorithm to diagnose sleep disorders, for example sleep apnea, and predict treatment effectiveness. The system is an automated, self-learning algorithm capable of assessing the risk for sleep disorders and predicting treatment effectiveness.