33results about How to "Increase confidence" patented technology

A method for adaptive video processing includes identifying an object in a frame of video data, determining an object confidence value associated with the identified object, and determining if the object confidence value meets a predefined threshold object confidence value. If not, the method can further include repeatedly processing the frame of video data with additional processing algorithms, and again identifying the object, determining an updated object confidence value, and determining if the updated object confidence value meets the predefined threshold object confidence value, until the updated object confidence value meets the predefined threshold object confidence value. Thereafter, an event can be identified based upon the identified object and an object primitive defining a relationship between the identified object and one or more other objects in the frame of video data, where the events can be identified in accordance with a hierarchical event structure.

A system and method that aggregates investment, educational and entertainment data for consumers in a visually simplified way. In an embodiment, a system for such aggregated data can include a database containing investment data and investment education data and a processor in communication with the investment database and investment education database. In an exemplary embodiment, the processor may be included in a web server. The processor may be configured to execute instructions to provide a graphical user interface (GUI) to display visuals and accept queries from users according to at least one of the investment data and the investment education data. The GUI can include an educational portion and an investment portion. The processor can be configured to display through the GUI appropriate educational content from the educational portion and appropriate investment content from the investment portion.

The present invention is a signal processing method to significantly improve the detection and identification of source emissions. More particularly, the present invention offers a processing method to reduce the false alarm rate of systems which remotely detect and identify the presence of electronic devices through an analysis of a received spectrum the devices' unintended emissions. The invention identifies candidate emission elements and determines their validity based on a frequency and phase association with other emissions present in the received spectrum. The invention compares the measured phase and frequency data of the emissions with a software solution of the theoretically or empirically derived closed-form expression which governs the phase and frequency distribution of the emissions within the source. Verification of this relationship serves to dramatically increase the confidence of the detection.

A system and method for providing bidding on real estate among previously identified parties. The system includes one or more servers storing and providing information about the real estate to be bid on; one or more means to invite pre-identified potential bidders to bid on each piece of real estate; one or more means for only those invited bidders to connect to the system and submit bids; and a series of rules to determine the preferred bid from amongst those submitted. The method operates by providing a way for properties to be submitted to be bid upon, specifically inviting known bidders to bid on each piece of real estate, allowing only those bidders to communicate their bids, accepting bids during the defined bidding period and determining a preferential ordering of the received bids.

The invention describes a system and method for detecting early signs of infection and, in particular, for identifying individuals most likely to develop sepsis. Measurement of expression levels of particular combinations of cytokines and/or cellular activation markers, optionally combined with the use of predictive algorithms, allows a high degree of accuracy of prediction. The method is applicable in both civilian and military contexts.

A method of monitoring an exhaust gas sensor coupled in an engine exhaust in an engine is provided. The method includes adjusting engine operation responsive to exhaust gas sensor degradation, the degradation identified during deceleration fuel shut-off (DFSO) and compensated based on whether vapor purge operation is occurring in the engine during DFSO.

A method for obtaining nuclear medical images of a patient in which one or more first images are obtained. The one or more first images can be used to identify one or more regions of interest for subsequent images that focus on the regions of interest. The process can occur iteratively until it is determined, either by a physician or a computer program that sufficient images have been obtained to identify lesions or other pathology within a reasonable level of confidence.

An identification verification system having several applications is disclosed. First, a sender sends a person an offer that requests information. The person replies to the sender, who forwards the reply to a verifying entity. If the sender is legitimate, the verifying entity forwards the reply to a UDID service, which requests authorization from the person to send the information to the sender. Second, a passenger can only access a boarding pass online after entering in a UDID and password. A code string is also generated in a document verification field that is decoded to determine information. Third, an online shopper requests verification from a merchant. The merchant then asks a credit card company for a token. If the merchant has a merchant account with the company, the merchant receives the token that generates a certificate for the shopper, who sends the certificate to the company to verify it is valid.

Methods and apparatuses to automatically adjust a thermal requirement of a data processing system are described. One or more conditions associated with a data processing system are detected. A temperature requirement for the data processing system is determined based on the one or more conditions. The performance of the data processing system may be throttled to maintain a temperature of the data processing system below the temperature requirement. Detecting the one or more conditions associated with the data processing system may include determining a location of the data processing system based on a measured motion, a state of a peripheral device, a position of one portion of the data processing system (e.g., a lid) relative another portion of the data processing system (e.g., a bottom portion), a type of application operating on the data processing system, or any combination thereof.

The invention relates to the technical field of automatic driving, and provides a remote driving control method and device for an automatic driving vehicle and a remote driving system. The method is applied to a remote control center and comprises the following steps: establishing communication connection between the remote control center and a target automatic driving vehicle in response to a remote driving request sent by a user; determining a target remote driver suitable for driving the target automatic driving vehicle; acquiring vehicle driving related information from the ADS of the target automatic driving vehicle based on the communication connection; acquiring driving data of remote driving for the target automatic driving vehicle by the target remote driver based on the vehicle driving related information; and transmitting the driving data to the ADS. According to the invention, a remote driver can intervene in the driving of the automatic driving vehicle, the confidence of the user to the automatic driving vehicle can be improved, and the decision accuracy of the automatic driving vehicle under complex conditions can be improved.

The embodiment of the invention, which relates to the technical field of computer application, provides an object control method and device. The object control method comprises: carrying out credit scoring on historical data of a monitored object; predicting an abnormal probability of the monitored object; and on the basis of the credit scoring result and the abnormal probability, carrying out control processing on the monitored object. On the basis of credit scoring on the historical data of the monitored object, the abnormal probability of the monitored object is predicted and thus a cheating user can be identified effectively and accurately, so that a problem of low accuracy of cheating user identification in the prior art is solved.

The invention discloses a machine learning technology-based intelligent seal impression recognition and anti-fake method. The method comprises the following steps of: obtaining original seal impression data and data acquired during sealing by an intelligent impression anti-fake database; carrying out image acquisition on a to-be-detected impression in a limited area and carrying out preprocessingto obtain a naked impression; carrying out matching verification on naked impression data comprising seal specification information and the original seal impression data to obtain a weight value of the seal specification information; carrying out matching verification on feature data of a to-be-detected impression content view and the data acquired during the sealing so as to obtain a weight valueof the impression content view; carrying out matching verification on feature data of a to-be-detected background content view and the data acquired during the sealing so as to obtain a weight valueof the background content view; and carrying out weight add operation on the obtained weight value of the seal specification information, weight value of the impression content view and weight value of the background content view, and judging whether the impression is true or not through a total weight value so as to achieve the aim of rapidly verifying whether the seal is true or not.

The invention discloses a biomarker for forecasting esophageal squamous cell carcinoma prognosis. A forecasting method comprises the following steps of screening of prognostic markers based on publiclarge data, verification of the prognostic markers and efficacy detection of the prognostic markers. The study discovers and verifies for the first time that an ANO1 binding MMP3 protein can be used as the biomarker for forecasting esophageal squamous cell carcinoma prognosis, the forecasting efficacy of the ANO1 binding MMP3 protein is equal to the forecasting efficacy of the eighth edition of TNM staging of clinically common prognosis forecasting by purely utilizing clinic information at present, and the accuracy of prognosis forecasting of a patient with esophageal squamous cell carcinoma can be remarkably improved with combination use of the two methods. At the same time, the study discovers that an ANO1 gene highly expresses in cancer tissues of the patient with the esophageal squamous cell carcinoma, expression increase of the ANO1 gene can promote proliferation, invasion and metastasis of the esophageal squamous cell carcinoma, and in vivo and in vitro progresses of the esophageal squamous cell carcinoma can be remarkably inhibited by utilizing expression of an shRNA knockout ANO1 gene.

A Common Bus Structure for Avionics and Satellites (CBSAS) (10) as shown in FIG. 1 is comprised of a module lid (14), module floor (38), module stack base (16), module bolts (22) and stackable modules (12). Stackable modules (12) are sub-dividable to create module sealed chamber volumes (45) individually as required, while stackable modules (12) simultaneously create at least one collectively continuous raceway sealed chamber volume (44) perpendicular to individual stackable modules (12) in the vertical direction where no module floor (38) is present, in order to internally electrically interconnect the contents of any stackable module (12) with the contents of any other stackable module (12) via internal connector raceway system (24). Raceway sealed chamber volume (44) therefore collectively and continuously traverses all present stackable modules (12) positioned between module lid (14) and module stack base (16). Modules are interchangeable and inter-connectable in any order, and contain all required electronic or mechanical components required for CBSAS (10) to function as a single box consolidated avionics system that is equally functional in the atmosphere or the vacuum of space, while also being fully functional as a single complete stand-alone satellite system. CBSAS (10) enables a paradigm shift in the aerospace industry whereby all legacy and current multiple black-box systems on aerospace platforms such as missiles, rockets, satellites and aircraft are extremely inefficient when compared to the size, weight and power attributes of CBSAS (10). The ability for CBSAS (10) to be instantly employable as either a single box consolidated avionics system for use within the atmosphere or in space while also being fully functional as a stand-alone satellite enables a hardware, firmware and software capability never before manifested in the aerospace industry.

The invention provides a vehicle forward collision early warning system that comprises a forward-looking camera, at least four distance sensors, a vehicle-mounted processor and an alarm device. According to the vehicle forward collision early warning system, due to the fact that the four distance sensors are arranged, the position where a vehicle head collides with an obstacle in front can be accurately prejudged, and then accurate collision early warning can be given to a driver; as the four distance sensors are opened only when needed, energy is saved; due to the fact that a machine learningmodule is additionally arranged, system false alarms caused by fallen leaves, branches and other obstacles which do not affect driving safety can be avoided, and the confidence coefficient of the early warning system is improved.

The present invention relates to a digital health proxy device, system, and method. or particularly, but not exclusively, the various apparatuses, methods, and systems disclosed herein relate to a health proxy device configured to parse medical data using data processing techniques and provide assistive technologies to a caregiver and/or patient for making an optimal medical decision in a time-sensitive environment.

The invention relates to artificial intelligence, and provides an electronic invoice information extraction method and device, equipment based on artificial intelligence and a medium, and the method comprises the steps: firstly obtaining a frame set of a to-be-recognized electronic invoice picture, a recognition text in each frame, and a corresponding target electronic invoice template; carrying out coordinate normalization adjustment on the to-be-recognized electronic invoice picture to obtain an adjusted electronic invoice picture, and then obtaining a Sudoku matching similarity and a matching label corresponding to each pixel point based on the adjusted electronic invoice picture; and finally, positioning a target frame of the to-be-matched target text in the frame set, determining that the label combination of the pixel point labels in the adjusted frame is the same as the to-be-matched target text, taking the target frame as a target area, and obtaining a target value of the target area. The template-based information extraction is realized, the algorithm is light and simple, the operation speed is high, and the accuracy is high.

The invention provides a method for detecting an actual scribed line of a molded mould. The method includes the following steps: (a) points on a theoretical scribed line are selected from a data model for manufacturing the mould: (b) the selected points on the theoretical scribed line form a traveling track program capable of being operated by a numerical control machine tool; (c), the numerical control machine tool operates the traveling track program; (d), a tool head on the numerical control machine tool travels according to the traveling tack program so as to mark on the mould; (e), deviation between marks and the actual scribed line is compared; and (f) whether the deviation is a allowable value is determined. By means of the method for detecting the actual scribed line of the molded mould, after the mould is machined on the numerical control machine tool, detecting on a large-scale mould can be finished by adopting the detecting method in the field in time without moving the mould.

An autonomous driving system installed on a vehicle includes: an information acquisition device configured to acquire driving environment information indicating driving environment for the vehicle; and an autonomous driving control device configured to control autonomous driving of the vehicle based on the driving environment information. The driving environment information includes: map information; and size information indicating a size of a routing object that moves integrally with the vehicle. The autonomous driving control device refers to the map information and the size information to determine a travel route through which the routing object can pass without protruding from a roadway as a target travel route to a destination.

A system and method that provides navigation guidance for intraluminal procedures comprises: a catheter configured to be inserted into a lumen receive an actuating force from an actuator; and a tracking system configured to acquire position and orientation of the catheter with respect a lumen. A processor in communication with the actuator and the tracking system is configured to: register a position and/or orientation of the catheter tip with respect to a reference target, and generate one or more satellite targets in a region of interest surrounding the reference target. A display screen displays a virtual representation of the distal end of the catheter, and a virtual representation of the one or more satellite targets, as navigation guidance. A user is able to determine how to align the catheter tip with the one or more satellite targets to perform an intraluminal procedure.

The invention discloses an airport cement pavement FOD risk evaluation method. The method comprises the steps: extracting a crack projection contour in a visible light image through image segmentation, and obtaining a crack projection region S1; extracting the depth h between the crack and the pavement surface and the projection contour S2 of the crack in the horizontal direction by using the horizontal, transverse and longitudinal three-dimensional views in the ground penetrating radar image of the three-dimensional ground penetrating radar; according to the detection position of the three-dimensional ground penetrating radar and the position of the image, the projection contour S2 of the crack in the horizontal direction is projected to the image where the crack projection area S1 is located; the minimum distance d between the projection contour S2 and the crack projection area S1 is obtained; and judging the FOD risk of the cement pavement of the airport by using the relationship between the depth h and the depth threshold value h1 and the depth threshold value h2 and the relationship between the minimum distance d and the profile minimum distance threshold value d1 and the profile minimum distance threshold value d2. Through the scheme, the method has the advantages of simple logic, reliable estimation and the like.

The invention discloses a supervision method for transaction data in an alliance chain. The method comprises the following steps: reading transaction data in the alliance chain; judging whether the transaction data is compliant or not; if not, obtaining proposal information corresponding to the transaction data; signing the proposal information by using a threshold signature algorithm to obtain signature data; and determining supervision processing measures corresponding to the transaction data according to the signature data. By applying the supervision method for the transaction data in the alliance chain provided by the invention, the confidence coefficient of a transaction data supervision result is improved, different types of alliance chains can be compatible, the method is easy to implement, and the processing time of illegal transaction data is shortened. The invention further discloses a supervision device for transaction data in the alliance chain, equipment and a storage medium, which have corresponding technical effects.

In some examples, determining a heart failure status includes using an implantable medical device configured for subcutaneous implantation and comprising a plurality of electrodes and an optical sensor. Processing circuitry of a system comprising the device may determine, for a patient, a current tissue oxygen saturation value based on a signal received from the at least one optical sensor, a current tissue impedance value based on a subcutaneous tissue impedance signal received from the electrodes, and a current pulse transit time value based on a cardiac electrogram signal received from theelectrodes and at least one of the signal received from the optical sensor and the subcutaneous tissue impedance signal. The processing circuitry may further compare the current tissue oxygen saturation value, current tissue impedance value, and current pulse transit time value to corresponding baseline values, and determine the heart failure status of the patient based on the comparison.

The invention provides a method for identifying range ambiguity and azimuth ambiguity of a ring-scan radar, and the method comprises the steps: building a position and energy corresponding model of arange ambiguity target and a real target of the ring-scan radar, and identifying whether a to-be-outputted target is a range ambiguity false alarm or not; whether a to-be-output target is an azimuth fuzzy false alarm is identified by establishing a position and energy corresponding model of a loop sweep radar azimuth fuzzy target and a real target, and if the target is a false alarm caused by thetwo kinds of fuzziness, the false alarm is eliminated, so that the false alarm rate of the system is reduced, and the confidence of radar detection of the target is enhanced.

The invention discloses a topological perception post-processing confidence coefficient correction method applied to a GNN. The confidence coefficient is corrected by using the homogeneity of the confidence coefficient in the GNN, the correction function is nonlinear transformation, while the classification precision of the original GNN is also saved. Besides, the invention provides a corrected GNN self-training method based on the correction method, the confidence is firstly calibrated by CaGCN and then is used for generating a pseudo tag, high-confidence prediction can be effectively utilized, and the effectiveness of the method provided by the invention in the aspects of correction and accuracy is proved through a large number of experiments.

The invention relates to a data fusion method and device for an internet of things multi-dimensional sensor. The method comprises the following steps: firstly, acquiring multi-dimensional sensor data by connecting a multi-source database; then preprocessing the obtained multi-dimensional sensor data to obtain preprocessed data; performing data object fusion on the preprocessed data through a preset fusion model to obtain a fusion result of the multi-dimensional sensor data; and finally, displaying and explaining based on the fusion result. Thus, after the data of the multiple sensors and the multi-dimensional sensor are fused through the preset fusion model, comprehensive analysis and judgment are carried out, objective things are reflected more comprehensively and objectively, the confidence degree is high, and related workers are helped to make more correct decisions.

The invention belongs to the field of stress relaxation detection of prestressed steel products, in particular to a method and a system for the correction of an extrapolated value of a relaxation rate in a stress relaxation test. The method comprises the steps: inputting test parameters, and measuring and controlling the whole course of the stress relaxation test; recording the stress relaxation load reducing time and relaxation force accumulated values of test samples in real time, and obtaining test environmental temperature sampling records; allowing all stress relaxation test data to generate test data files; determining the load reduction error caused by the fluctuation of environmental temperature; re-allocating time of load reduction error; further fine-tuning the re-allocated time of load reduction error; carrying out 1000-hour relaxation rate extrapolation according to the method specified by standards; and outputting the extrapolation result. With the geometric progression comparison correction method, the invention can eliminate the impact of the load reduction generated by the fluctuation of the test environmental temperature in different test periods of time on the extrapolated value of the relaxation rate, and improve the confidence level of extrapolation, thereby solving the difficulties that beset the field of stress relaxation detection until now.

The invention belongs to the technical field of artificial intelligence, and provides a corpus enhancement method and device, computer equipment and a readable storage medium, the corpus enhancement method comprises the following steps: obtaining a dictionary and a corpus, according to a first word frequency and a second word frequency, vectorizing a corpus without a label in the corpus, and obtaining an N-dimensional feature matrix; obtaining labels in the corpus, performing matrix processing on the N-dimensional feature matrix according to the labels, and obtaining a first matrix used for bearing semantics of the labels and words and a second matrix used for bearing semantics of the labels and corpora; the similarity between the first matrix and the second matrix is obtained, and the labels are distributed to the linguistic data without the labels according to the similarity. The enhanced corpus can map the association relationship among the tag, the corpus, the dictionary and the untagged corpus, so that the confidence coefficient of the tag allocated to the untagged corpus is improved, and the purpose of providing high-quality corpus for model training is achieved.

A motor assembly, control system and associated method monitor the rotational engagement of an input shaft associated with a motor with an output shaft configured to controllably position a control surface. In this regard, a control system includes a motor assembly and an associated controller. The motor assembly includes a motor configured to rotate an input shaft and a first encoder configured to determine a rotational position of the input shaft. The motor assembly also includes an output shaft, such as a capstan, and a second encoder configured to determine a rotational position of the output shaft. The output shaft is rotatably coupled to the input shaft associated with the motor via a clutch. The controller is configured to identify slippage of the clutch based upon information provided by the first and second encoders regarding the rotational positions of the input shaft and the output shaft, respectively.