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1504results about How to "Improve predictive performance" patented technology

Cost-benefit approach to automatically composing answers to questions by extracting information from large unstructured corpora

The present invention relates to a system and methodology to facilitate extraction of information from a large unstructured corpora such as from the World Wide Web and / or other unstructured sources. Information in the form of answers to questions can be automatically composed from such sources via probabilistic models and cost-benefit analyses to guide resource-intensive information-extraction procedures employed by a knowledge-based question answering system. The analyses can leverage predictions of the ultimate quality of answers generated by the system provided by Bayesian or other statistical models. Such predictions, when coupled with a utility model can provide the system with the ability to make decisions about the number of queries issued to a search engine (or engines), given the cost of queries and the expected value of query results in refining an ultimate answer. Given a preference model, information extraction actions can be taken with the highest expected utility. In this manner, the accuracy of answers to questions can be balanced with the cost of information extraction and analysis to compose the answers.
Owner:MICROSOFT TECH LICENSING LLC

Animal healthcare, well-being and nutrition

InactiveUS7029441B2Improve healthcareEnhances well-being managementPhysical therapies and activitiesDrug and medicationsRegimenNutrition
Dynamic management of the health care, nutrition and well-being of pet animal, such as a dogs and cats. Data relating to the species of the animal, a selected group of the species, and the animal, including diagnostic laboratory test data of the animal are related by a computer. A management regimen for the animal is based on this. Updating the data picks up drifts in different populations of the animals, groups and species over time to enhance the management.
Owner:HEMOPET

Biomarker for ovarian and endometrial cancer: hepcidin

The present invention provides protein-based biomarkers and biomarker combinations that are useful in qualifying ovarian cancer status as well as endometrical cancer status in a patient. In particular, it has been found that hepcidin is a biomarker for both ovarian cancer and endometrial cancer and that a panel of biomarkers, including hepcidin, transthyretin and optionally other markers are useful to classify a subject sample as ovarian cancer or non-ovarian cancer. The biomarkers can be detected by SELDI mass spectrometry.
Owner:THE JOHN HOPKINS UNIV SCHOOL OF MEDICINE +2

Method and System for Wafer Quality Predictive Modeling based on Multi-Source Information with Heterogeneous Relatedness

The present invention generally relates to the monitoring and controlling of a semiconductor manufacturing environment and, more particularly, to methods and systems for virtual meteorology (VM) applications based on data from multiple tools having heterogeneous relatedness. The methods and systems leverage the natural relationship of the multiple tools and take advantage of the relationship embedded in process variables to improve the prediction performance of the VM predictive wafer quality modeling. The prediction results of the methods and systems can be used as a substitute for or in conjunction with actual metrology samples in order to monitor and control a semiconductor manufacturing environment, and thus reduce delays and costs associated with obtaining actual physical measurements.
Owner:GLOBALFOUNDRIES INC

Time to event data analysis method and system

A time to event data analysis method and system. The present invention relates to the analysis of data to identify relationships between the input data and one or more conditions. One method of analysing such data is by the use of neural networks which are non-linear statistical data modelling tools, the structure of which may be changed based on information that is passed through the network during a training phase. A known problem that affects neural networks is the issue of overtraining which arises in overcomplex or overspecified systems when the capacity of the network significantly exceeds the needed parameters. The present invention provides a method of analysing data, such as bioinformatics or pathology data, using a neural network with a constrained architecture and providing a continuous output that can be used in various contexts and systems including prediction of time to an event, such as a specified clinical event.
Owner:NOTTINGHAM TRENT UNIVERSITY

Short-term traffic flow prediction method based on convolutional neural network

The invention provides a short-term traffic flow prediction method based on a convolutional neural network. The short-term traffic flow prediction method comprises the steps that firstly, the formats of input matrixes are determined according to the number of upstream and downstream road sections and the number of historical flow data predicted to be used; secondly, a structure of a convolutional neural network prediction model is determined according to the formats of input matrixes, and model training is completed by using the historical flow data of predicted road sections and the upstream and downstream road sections of the predicted road sections; finally, prediction is performed by using the trained model. The method utilizes the convolutional neural network having powerful characteristic learning capability to accurately predict short-term traffic flow, considers the flows of the predicted road sections and the upstream and downstream road sections of the predicted road sections simultaneously, and enables input data to be expanded to two dimensions so as to conform to the input format of the convolutional neural network. In addition, information of the road sections relevant with the predicted road sections is also provided to enable the prediction model to learn more flow characteristics, and accordingly the prediction accuracy is improved.
Owner:NANJING UNIV OF POSTS & TELECOMM

Joint model training method, system and device and computer readable storage medium

The invention discloses a federal model training method, a federal model training system, federal model training equipment and a computer readable storage medium, and the method comprises the steps: obtaining a weight coefficient corresponding to each model parameter according to a preset obtaining rule after a cooperative terminal receives the model parameters respectively sent by a plurality ofclient terminals; according to the plurality of model parameters and the weight coefficient corresponding to each model parameter, aggregating to obtain a second global model; detecting whether the second global model converges or not; and if it is detected that the second global model is in the convergence state, determining the second global model as a final result of federated model training, and issuing the second global model with encrypted parameters to a plurality of client terminals. According to the invention, the cooperative terminal updates and obtains the new global model accordingto the model parameter and the weight coefficient of each client terminal, and the prediction effect of the federal model is improved.
Owner:WEBANK (CHINA)

Predictive selection of content transformation in predictive modeling systems

A predictive modeling system and methodology makes predictions using unstructured content as an input, either alone or in conjunction with structured content. Content transformation rules are selected for application to the unstructured content, such as emails, call center notes, and other forms of human communication, by identifying the rules that are likely to improve the performance of a predictive modeling system.
Owner:FIRST DATA RESOURCES LLC

Neural network-based dialogue semantic intention prediction method and learning training method

The invention discloses a neural network-based chat robot dialogue semantic intention prediction method and a learning training method. The prediction method is used for a chat robot to predict a possibly continuous dialogue intention or point of interest (one of multiple dialogue intentions or points of interest) of a dialogist according to a sequence (said) statement eigenvector of the human dialogist; and by heuristically selecting an output dialogue of the chat robot and taking an answer of the dialogist as a verification feedback of a previous intention prediction result, online reinforcement learning and self-updating of an algorithm are realized, the accuracy of dialogue intention prediction is continuously improved, the round number of chat can be increased, and the interest of thedialogist can be enhanced.
Owner:北京十三科技有限公司

Boiler combustion optimizing method

The invention relates to a method for optimizing combustion of a boiler. The combustion optimization of the prior boiler mainly depends on debugging stuffs to do experiments, thereby taking time and labor and obtaining limited parameter combinations. The method includes the following steps: collecting working parameters of the boiler and corresponding indexes characterizing the combustion characters of the boiler and building a real-time database; adopting an integrated modeling method supporting a vector machine to carry out modeling under the condition that the real work load is 60 percent smaller than the design load of the boiler and adopting a radial basis function neural network integrated modeling method to carry out modeling under the condition that the real work load is60 percent larger than or equal to the design load of the boiler to build boiler combustion models with different indexes; and utilizing the particle swarm optimization algorithm and combining with the built models to optimize the combustion parameter setting of the boiler according to different combustion indexes or index combinations of the boiler. The invention improves the predictive ability of the integral model, greatly improves the predictive ability of the models, and carries out one-line optimization and off-line optimization.
Owner:HANGZHOU DIANZI UNIV

Integrated similarity measurement and bi-directional random walk based pharmaceutical relocation method

The present invention discloses an integrated similarity measurement and bi-directional random walk based pharmaceutical relocation method. When calculating pharmaceutical similarity and disease similarity, other than taking advantage of pharmaceutical characteristics information and disease characteristics information respectively, an integrated similarity measurement method further takes full account of effects on similarity measurement due to pharmaceutical-disease related information in a current data set, so that a calculated similarity value can better reflect similarity between pharmaceuticals and similarity between diseases. On this basis, a pharmaceutical-disease heterogeneous network is built, and based on the heterogeneous network, a bi-directional random walk algorithm is taken to predict a candidate disease for all pharmaceuticals. The method disclosed by the present invention is simple and effective, and compared with other methods, tests on multiple data sets prove that the method disclosed by the present invention has better prediction performance in pharmaceutical relocation.
Owner:CENT SOUTH UNIV

Inter-frame prediction method in hybrid video coding standard

An inter-frame prediction method in a hybrid video coding standard belongs to the field of video coding. In order to effectively process deformation movement existing in a video sequence, the present invention puts forward an inter-frame prediction method in a hybrid video coding standard for further improving coding performance of a video. The inter-frame prediction method comprises the steps of: obtaining motion information of a plurality of adjacent coded blocks around a current coding block; obtaining a reference index of each dividing unit in the current coding block according to obtained reference indexes of the adjacent coded blocked; and processing motion vectors of the adjacent coded blocks according to the obtained reference indexes of the adjacent coded blocks and the obtained reference index of each dividing unit in the current coding block, so as to obtain a motion vector of each dividing unit in the current coding block. According to the inter-frame prediction method of the present invention, motion information of the current coding block is predicted through the motion information of the adjacent coded blocks of the current coding block, so that deformation movement existing in the video sequence can be effectively described, and coding efficiency can be further improved.
Owner:HARBIN INST OF TECH

Engine control system and method

InactiveUS20100116249A1Rapid and efficient and precise engine operationImprove predictive performanceElectrical controlInternal combustion piston enginesCombustionControl system
A method of controlling an engine system, the method comprising: receiving data relating to engine operation; calculating in an engine model a combustion parameter and an injection parameter required to operate the engine system in accordance with the received engine data; controlling the engine system based on the calculated injection parameter wherein the method further comprises adjusting the engine model over time based on a comparison between the calculated engine combustion parameter and a corresponding measured engine combustion parameter
Owner:DELPHI INT OPERATIONS LUXEMBOURG S A R L

Wind power generation short-term load forecast method of least squares support vector machine

The invention discloses a wind power generation short-term load forecast method of a least squares support vector machine. The method comprises the following steps of 1, preprocessing original data; 2, carrying out principal component analysis on an original data sequence which is input to the least squares support vector machine by a principal component analysis method, and analyzing and extracting a key impacting indicator of wind power loads; 3, building a mathematical model of the least squares support vector machine; 4, inputting the analyzed and extracted key impacting indicator to the mathematical model of the least squares support vector machine to be used as a training sample and a testing sample; 5, carrying out forecast on testing sample data by the mathematical model of the least squares support vector machine to obtain a forecast result. According to the wind power generation short-term load forecast method of the least squares support vector machine, the principal component analysis method and the mathematical model of the least squares support vector machine are combined, the calculated amount is reduced, the operability is increased, and the whole forecast performance and the whole forecast accuracy are improved.
Owner:SHANGHAI JIAO TONG UNIV +2

Soft sensing method for load parameter of ball mill

ActiveCN101776531AThe frequency band features are obviousObvious high frequency featuresSubsonic/sonic/ultrasonic wave measurementCurrent/voltage measurementLeast squares support vector machineEngineering
The invention relates to a soft sensing method for load parameters of a ball mill. The method is that a hardware supporting platform is used to obtain vibration signals, vibration sound signals and current signals of a ball mill cylinder to soft sense ball mill internal parameters (ratio of material to ball, pulp density and filling ratio) characterizing ball mill load. The method comprises the following steps that: the vibration, the vibration sound, the current data and the time-domain filtering of the ball mill cylinder are acquired, time frequency conversion is conducted to the vibration and the vibration sound data, kernel principal component analysis based nonlinear features of the sub band of the vibration and the vibration sound data in frequency domain are extracted, nonlinear features of the time domain current data are extracted, feature selection is conducted to the fused nonlinear feature data and a soft sensing model based on a least squares support vector machine is established. The soft sensing method of the invention has the advantages that the sensitivity is high, the sensed results are accurate, the practical value and the popularization prospect are very good, and the realization of the stability control, the optimization control, the energy saving and the consumption reduction of the grinding production process is facilitated.
Owner:NORTHEASTERN UNIV

Tool wear condition prediction method of numerical control machine tool based on parallel deep neural network

The invention discloses a tool wear condition prediction method of a numerical control machine tool based on a parallel deep neural network. A dynamometer, an acceleration sensor and an acoustic sensor are installed on a workbench and a fixture of the numerical control machine tool; a milling experiment is conducted, the cutting force and vibration and acoustic signals of a milling process are collected so as to obtain multisensor data, and the wear capacity of a tool is collected; pretreatment is performed so as to obtain training data and to-be-tested data; a parallel deep neural network model is established; the treated training data and the label of the wear capacity of the tool are input into an offline training model in the parallel deep neural network model; and the to-be-tested multisensor data are introduced into the trained model so as to predict the wear capacity of the tool in real time and on line. According to the method, the implied characteristics during tool processingof the numerical control machine tool are fully mined, and the wear capacity of the tool can be predicted in real time. The method has the advantage of wide applicability and can be widely applied tovarious numerical control machine tools.
Owner:ZHEJIANG UNIV

Short-term load prediction method based on variant selection and Gaussian process regression

The present invention discloses a short-term load prediction method based on variable selection and Gaussian process regression. The method includes the following steps that: 1) bad data elimination, supplementation and normalization pre-processing are performed on sample data; 2) candidate input variables are selected from the perspectives of historical load, temperature and humidity, and the date type of a prediction date, and the scores of the importance of the variables are calculated through a random forest algorithm, and the scores of the importance of the variables are sequenced; 3) an optimal variable set is determined through adopting a sequence forward search strategy and based on a Gaussian process regression model; 4) the Gaussian process regression model is trained based on the determined optimal variable set, and the parameters of the model are optimized based on improved particle swarm optimization; and 5) the predictive performance of the model is verified in a test set. With the method provided by the invention adopted, prediction accuracy can be effectively improved, and the load prediction problem of a power system can be solved.
Owner:HOHAI UNIV

Intelligent analyzing and differentiating method of herbalist doctor through integrated references form four parts of diagnosis

An intelligent dialectics based on the probabilistic reasoning model of Bayes network and computing technology for traditional Chinese medicine to diagnose diseases is disclosed. The signal processing technique and image recognizing technique are used to automatically recognize the pulse condition and the tongue picture, analyze them and provide the result. In its interrogation interface, after the disease signs of a patient are input, the dialectic result can be output. It has also self-learning, storage and print function.
Owner:ZHEJIANG UNIV

Method, device and system for inter-frame predicting encoding and decoding

The embodiment of the invention discloses a method, a device and a system for inter-frame predicting encoding and decoding. The method for inter-frame encoding and decoding comprises the following steps: the distortion of the template area of current encoding and decoding modules and a plurality of matched templates of a plurality of reference frames is calculated by the cost function to determine a plurality of offset vectors; a plurality of hypothetical predicting values of the encoding and decoding modules which correspond to the matched templates are acquired according to the determined offset vectors, the template matching predicting values of the current encoding and decoding modules are calculated according to the hypothetical predicting values, and the template matching predicting values are the predicting values of the current encoding and decoding modules acquired by using the template matching technology. The embodiment of the invention improves the predicting performance of the video encoding and decoding system, and increases the encoding and decoding efficiency.
Owner:SNAPTRACK

Estimation of cardiac death risk

The invention relates to a method and apparatus for predicting a sudden heart abnormality for an individual patient. In order to provide a prediction mechanism that is suitable for acute care, three sub-indices are determined based on medical data obtained from the patient. The first sub-index indicates the level of deterministic chaos in the heart rate variability of the patient, the second sub-index indicates the energy level in the myocardium of the patient, and the third sub-index indicates the degree of ventricular arrhythmia of the patient. Based on the first, second, and third sub-indices, at least one overall risk index is then determined, the overall risk index indicating the risk level of a sudden heart abnormality for the patient.
Owner:INSTRUMENTARIUM CORP

Method for detection and stopping leak for concrete buildings leakage source

This invention belongs to measurement technique field and fixing technique field which is suitable for concrete architecture water leakage test method, which comprises the following steps: sending carbon dioxide gas from the leakage part on the architecture; then testing the gas outside the architecture and judging the leakage source according to the gas sensor situation; injecting the liquid emulsion into the leakage path crack or honeycomb hollow part to seal the leakage, which is characterized by adopting the infrared sense for analysis technique testing to judge the leakage source; adopting pressure injection to seal the leakage separately.
Owner:李海军

Animal genetic and health profile database management

InactiveUS7134995B2Facilitate and restrict flowImproving outcomeSurgeryNutrition controlVoice communicationGenetic Databases
A system, method, and apparatus is provided for computerized management of the databases relating to phenotypic health assessment and genomic mapping and genetic screening of animals. Multiple remote users can access a computer network connected with a central database processing resource for managing the data There is appropriate security and payment of appropriate fees for accessing and retrieving data Users may input data relating to animal health, lifespan, and genetic background, and obtain reports relating to phenotypic health assessment of a particular animal subject or animal group, and genotypic characteristics of a particular subject or animal group to which this subject belongs. The central computer database processing resource stores phenotypic data and genotypic data relating to animals and analyzes their relationship according to predetermined criteria. The input of data and reporting of data is preferably electronic, or through fax or voice communication. The analysis of the health assessment database and genetic database can be automatic and / or in part manually interpreted by experts related to the central database processing resources.
Owner:HEMOPET

Motion trajectory prediction method and device for obstacle at intersection

An embodiment of the invention provides a motion trajectory prediction method and device for an obstacle at an intersection. The method herein comprises: acquiring ambient information of an intersection which a vehicle is to cross and visual obstacle information in a vehicle sensing range; fusing intersection obstacle information and the visual obstacle information, and screening out blind-area obstacle information of the vehicle at the intersection; predicting a motion trajectory of the obstacle corresponding to the blind-area obstacle information according to road information. The device herein comprises: an acquisition module for acquiring ambient information of an intersection which a vehicle is to cross and visual obstacle information of the vehicle; a fusion module for screening outblind-area obstacle information of the vehicle at the intersection; a trajectory prediction module for predicting a motion trajectory of the obstacle corresponding to the blind-area obstacle information. The ambient information of the intersection is acquired according to the embodiment; therefore, the problem is solved that a sensing blind area occurs before a vehicle arrives at the intersection,and the capacity of the vehicle to predict intersection obstacles is improved.
Owner:APOLLO INTELLIGENT DRIVING (BEIJING) TECHNOLOGY CO LTD

Magnetic resonance spatial risk map for tissue outcome prediction

Diffusion weighted images and perfusion weighted images are acquired with an MRI system and used to produce low b, DWI, ADC, CBV, CBF, and MTT images of brain tissues following an ischemic event. These MRI physiological measurements are input along with a spatial location measurement to a generalized linear model that predicts the outcome of tissues surrounding a lesion.
Owner:THE GENERAL HOSPITAL CORP

Physical analog test apparatus for canal pollutant transmission under temperature-hydraulic coupling action

InactiveCN101477106AAchieve recyclingSolve unmanageable puzzlesEarth material testingData acquisitionEngineering
The invention discloses a physical simulation testing device used in graff contaminant transmission under the action of temperature-hydraulic coupling. The testing device comprises a simulation container, an air pressure control device, a temperature control device, a circulating water system and an online control and monitoring system. The testing system can realize physical simulation test of transmission dynamic characteristics of contaminants in rivers, aqueducts, sewage trenches and surrounding soil and ground water, and integrate monitoring, control and data acquisition; moreover, the testing system realizes real-time display and intelligent control of water level, temperature and pressure variations in the testing system, and carries out overall process acquisition, analysis and visualized input and output on testing data through a data acquisition program. The testing system has the characteristics of reasonable structure, convenient operation, high precision of testing data, quick automatic data acquisition, short testing cycle as well as ideal modularization, openness and expansibility, and the like. In addition, the testing system provides parameter basis to disclose the transmission mechanism of contaminants in soil and ground water under complicated environmental conditions and analyze migration and transformation rule, and also provides technical support for appraising pollution control and treatment technical proposals.
Owner:INST OF ROCK AND SOIL MECHANICS - CHINESE ACAD OF SCI

Drug repositioning method based on multi-information fusion and random walk model

The invention discloses a drug repositioning method based on multi-information fusion and a random walk model. According to the method, disease-target-drug heterogeneous network is constructed through integrating existing disease data, drug data, target data, disease-drug associated data, disease-gene associated data and drug-target associated data; the basic random walk model is extended to the constructed heterogeneous network; and candidate therapeutic drugs are recommended for diseases through effectively utilizing global network information. The method disclosed by the invention is simple and effective; and compared with other methods and proved by tests on a standard data set, the method has good prediction performance in the aspect of drug repositioning.
Owner:CENT SOUTH UNIV

Immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time

ActiveCN112011616APromote the implementation of precision medicineObjective assessment of infiltrationMicrobiological testing/measurementBiostatisticsTNM staging systemMicroarray cgh
The invention relates to an immune gene prognosis model for predicting hepatocellular carcinoma tumor immune infiltration and postoperative survival time, and belongs to the technical field of biological medicines. The model can be used for evaluating the infiltration degree of immune cells in a tumor in clinical practice by detecting the expression levels of 22 specific immune related genes of ahepatocellular carcinoma patient, so that the model can be used for predicting hepatocellular carcinoma tumor immune infiltration in clinical practice and improve the prediction capability of the liver cancer immunotherapy response. The model can be used for judging the postoperative overall survival risk of a patient and guiding the formulation of a postoperative treatment strategy, and the corresponding microarray chip kit can realize the standardization and convenience of detection. Meanwhile, the immune gene prognosis model provided by the invention can increase the prediction accuracy andthe clinical net income of a hepatocellular carcinoma TNM staging system on the total survival time of three years and five years after operation. As a molecular marker for objectively and accuratelyevaluating the tumor immune state and poor prognosis risk of hepatocellular carcinoma, the model can realize accurate implementation of hepatocellular carcinoma immunotherapy and accurate prognosis prediction.
Owner:上海顿慧医疗科技发展有限公司
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