44 results about "Variable features" patented technology

The present invention is directed to a method in a computer system for individualizing a heartbeat signal for use as a biometric marker. The invention is carried out by acquiring a plurality of electronic heartbeat signals from an individual in an electronic signal form. The signals are measured to obtain an actual measurement of a plurality of variable features of the electronic signals relating to the heartbeats. The measurements are mathematically analyzed to provide the probability of divergence of each actual measurement. Using the calculated probability of divergence, subsequently received waveform measurements are analyzed for authentication purposes.

A plurality of electronic signals corresponding to a histological and / or physiological marker, such as a heartbeat, are obtained, from an individual and are converted into electronic signal form. The signals are measured to obtain an actual measurement of a plurality of variable features of the electronic signals relating to the heartbeats. The measurements are mathematically analyzed to provide the probability of divergence of each actual measurement. Using the calculated probability of divergence, subsequent received waveforms measurements are analyzed for authentication purposes.

A method of optimising a model Mx suitable for use in data analysis and determining a prognostic outcome specific to a particular subject (input vector x), the subject comprising a number of variable features in relation to a scenario of interest for which there is a global dataset D of samples also having the same features relating to the scenario, and for which the outcome is known is disclosed. In one implementation, the method includes: (a) determining what number and a subset Vx of variable features will be used in assessing the outcome for the input vector x; (b) determining what number Kx of samples from within the global data set D will form a neighbourhood about x; (c) selecting suitable Kx samples from the global data set which have the variable features that most closely accord to the variable features of the particular subject x to form the neighbourhood Dx; (d) ranking the Vx variable features within the neighbourhood Dx in order of importance to the outcome of vector x and obtaining a weight vector Wx for all variable features Vx; (e) creating a prognostic model Mx, having a set of model parameters Px and the other parameters from (a)-(d); (f) testing the accuracy of the model Mx at e) for each sample from Dx; (g) storing both the accuracy from (f), and the model parameters developed in (a) to (e); (h) repeating (a) and / or (b) whilst applying an optimisation procedure to optimise Vx and / or Kx, to determine their optimal values, before repeating (c)-(h) until maximum accuracy at (f) is achieved.

A shield assembly for dressing a tire mounted on a wheel rim includes a disc member and at least one holding device, the disc member being dimensioned to overlie, and thereby protect, at least the rim of the wheel during application of a tire dressing material. The holding device is of adjustable length, and may include other variable features so as to enable use with virtually any common style and size of motor vehicle wheel.

An intravascular stent especially suited for implanting in curved arterial portions or ostial regions. The stent can include an end region which is fabricated to have a greater radial strength than the remaining axial length of the stent. Such a stent is particularly suited for use in ostial regions, which require greater support near the end of the stent. The stent alternatively can include sections adjacent the end of the stent with greater bending flexibility than the remaining axial length of the stent. Such a stent is particularly suited for use in curved arteries. The stent can also be constructed with an end that has greater radial strength and sections adjacent the end with greater bending flexibility. Such a stent prevents flaring of the stent end during insertion.

A packaged semiconductor product includes a packaging substrate coupled to a semiconductor die through an interconnect structure with elements of variable features. The interconnect structure may be bumps or pillars. The variable features of the interconnect structure induce a reverse bend on the semiconductor die that mitigates warpage of the semiconductor die during semiconductor assembly by balancing bending of the packaging substrate during reflow. The variable features can be variable height and / or variable composition.

The embodiment of the invention discloses a method and a device for compiling a control program. The method comprises the steps of: compiling and linking a source program to generate an intermediate language program with limited variable features; mapping the intermediate language program with the limited variable features into a target command based on a mapping relationship between the intermediate language program with the limited variable features and the target command which can be directly carried out by a target processor. Through the embodiment of the invention, demands of the system on reliability and safety can be satisfied.

A device for use by an individual for sexual pleasure varying in form, i.e. shape, during its use and allowing for the user to select multiple variations of form either discretely or in combination and for these dynamic variations to be controllable simultaneously and interchangeably while being transparent to the normal use of the device, including the ability to insert, withdraw, rotate, and actuate the variable features manually or remotely. According to embodiments of the invention localized and global variations of devices are implemented using fluidics and electromagnetic pumps / valves wherein a fluid is employed such that controlling the pressure of the fluid results in the movement of an element within the device or the expansion / contraction of an element within the device.

An instrument cluster includes a gauge with selectively and visually variable features to communicate vehicle information to a vehicle operator. A border is illuminatable by colored LED assemblies to provide an indication of the range of a vehicle operating condition. A pointer assembly is also selectively illuminatable to provide a visual reference of a specific operating condition that is responsive and varies depending on a specific current operating condition. A digital display within the gauge includes telltales that are also selectively illuminatable and visually variable, responsive to specific operating conditions to communicate not only a problem or an issue with a specific feature but also a range or magnitude of alert to the vehicle operator.

An intravascular stent especially suited for implanting in lumens having variable characteristics such as curvatures, changing diameters as found in ostial regions or variable wall compliance during systolic cycles. The stent can include an end region which is fabricated to have a greater radial strength than the remaining axial length of the stent. Such a stent is particularly suited for use in ostial regions, which require greater support near the end of the stent. The stent alternatively can include sections adjacent the end of the stent with greater bending flexibility than the remaining axial length of the stent. Such a stent is particularly suited for use in curved arteries. The stent can be constructed with an end that has greater radial strength and sections adjacent the end with greater bending flexibility. Such a stent prevents flaring of the stent end during insertion. The stent can also be constructed to have increased longitudinal flexibility when expanded such that it flexes with the vessel wall during systolic cycles.

A method, computer system, and computer memory medium optimizing a transductive model Mx suitable for use in data analysis and for determining a prognostic outcome specific to a particular subject are disclosed. The particular subject may be represented by an input vector, which includes a number of variable features in relation to a scenario of interest. Samples from a global dataset D also having the same features relating to the scenario and for which the outcome is known are determined. In an embodiment, a subset of the variable features within a neighborhood formed by the samples are ranked in order of importance to an outcome. The prognostic transductive model is then created based, at least in part, on the subset, the ranking, and the neighborhood. The subset and the neighborhood are then optimized until the accuracy of the transductive model is maximized.

A composite intrusion detection method based on an Internet protocol edition 6 effectively improves the accuracy and reduces the rate of false alarm by using a composite detection mean, and is suitable for the new requirements of IPv6 to the intrusion detection method. The method is divided into three parts, namely the design of an overall framework by using composite intrusion detection, the division of a sub module and an intrusion identifying method. The method comprises the following steps: introducing the sub-module of a variable feature database; matching a data package captured with the variable feature base firstly; immediately transferring into an alarm sub module if the matching is realized, so that an intrusion detection system can detect the intrusion of networks more rapidly, thereby improving the efficiency of the intrusion detection. Simultaneously, the adjacent network sharing proposal of the variable feature base can capture an intrusion feature in the networks in advance through the mutual reproduction of the variable feature base of the adjacent network when the network is not intruded, thereby facilitating the adoption of corresponding measures as soon as possible and improving the integral safety of the networks.

A device for use by an individual for sexual pleasure varying in form, i.e. shape, during its use and allowing for the user to select multiple variations of form either discretely or in combination and for these dynamic variations to be controllable simultaneously and interchangeably while being transparent to the normal use of the device, including the ability to insert, withdraw, rotate, and actuate the variable features manually or remotely. According to embodiments of the invention localized and global variations of devices are implemented using fluidics and electromagnetic pumps / valves wherein a fluid is employed such that controlling the pressure of the fluid results in the movement of an element within the device or the expansion / contraction of an element within the device.

The invention discloses a credit risk assessment system and method based on weak variable data. The credit risk assessment system comprises an original data platform, a data management platform, a risk control model platform, a small bank score model, a personal qualification assessment module, an address information verification assessment module, an operator information checking assessment module and a payment consumption assessment module. The system depends on a big data intelligent analysis platform and an eagle eye decision engine risk control system independently researched and developed by our company. By combining a big data index real-time calculation function, data modeling and a risk control strategy and cooperating with a plurality of related credit agencies in the industry, the system does not depend on a central bank credit report and strong feature data; the mass weak variable feature data are analzyed, the applicant qualification is reasonably evaluated, the risk is effectively avoided, meanwhile, the client audit passing rate is increased, and the client false killing rate is reduced.

The invention discloses a multi-index extensible evaluation method for dangerous rock falling ricks in tunnel and underground engineering. The method comprises the following steps of: 1, establishing a dangerous rock falling risk evaluation index system according to main factors inducing side slope dangerous rock mass collapse; 2, establishing a grading standard for dangerous rock falling risk evaluation and determining a dangerous rock falling risk evaluation grade; 3, quantifying or correcting an evaluation index parameter, namely, normalizing and scalarizing a qualitative index, and describing the qualitative index to a certain extent by using a numerical value form; 4, establishing a classical domain, a joint domain, a to-be-evaluated matter element and an extensible model of a to-be-evaluated dangerous rock matter element; 5, collecting to-be-evaluated dangerous rock data, determining a weight of each risk evaluation index by adoption of a single correlation function method, and calculating a correlation function value of the to-be-evaluated dangerous rock matter element; and 6, evaluating the dangerous rock falling risk, and calculating a grade variable feature value of the to-be-evaluated matter element so as to obtain a collapse rock falling risk grade of a to-be-evaluated dangerous rock at a portal section of a tunnel.

The present invention relates to patient care systems and proposes a method for controlling a variable feature of a hospital bed having multiple variable features and a controller for changing these features, comprising the steps of: receiving a A feature command of a first feature of the bed; combining a second feature with first and second alternate states to the first feature; determining whether the second feature is in the first state; and if the second feature is in the first state, then changing the first characteristic on command; and changing the characteristic of the bed in a first manner different from said step of changing the first characteristic on command if the second characteristic is in the second state. A bed implementing the above control method is also proposed.

A multi-interface multi-protocol test method based on WAP / MMS service includes collecting data to data interfaces related to the WAP / MMS service process, analyzing the collected data packet to get four fixed character elements from the head of the data packet and analyze the variable character elements in the data packet based on the protocol kind, service and information kind related to the data packet, setting up the corresponding relation to different signaling of a same protocol based on said four fixed character elements to store it in a register and setting up corresponding relation to the signaling of different protocol segments of a same service kind based on the variable character elements and store it in the register and recovering the total process of the signaling of a same service flow based on said register.

The embodiment of the invention provides a credit evaluation method and device based on big data, an electronic device and a storage medium, which relate to the technical field of big data. The methodcomprises the following steps of dividing a plurality of index variables of a sample user into a plurality of equal frequency intervals by using an equal frequency method; taking an end point of theequal frequency interval as an initial clustering center to perform clustering operation on the plurality of index variables to obtain a plurality of variable boxes of each index variable; extractingvariable features from the variable sub-boxes of each index variable, and training the credit evaluation model based on the variable features; evaluating the credit of the user to be evaluated by thetrained credit evaluation model. The technical proposal of the embodiment of the invention can more accurately reflect the variable value distribution characteristics of different index variables, thereby improving the accuracy of credit evaluation model evaluation.

The invention discloses a network data message processing method. The network data message processing method includes the steps of establishing a service template feature library, extracting uniform resource locator (URL) information in a network data message, conducting matching and recognition on the extracted URL information and the service template feature library, obtaining a service template corresponding to the network data message, conducting corresponding variable feature extraction on the network data message according to variable features contained in the service template and storing obtained variable features correspondingly. Meanwhile, the invention further discloses a network data message processing device.

A system and a method of detecting abnormal or security-significant segments of a video are provided. The video is divided into several segments. A set of features of each segment of the video is extracted in order to calculate a set of factors corresponding to each segment. A value deemed abnormal of each segment is calculated according to the set of factors corresponding to each segment. One or more abnormal segments are determined from the segments based on the abnormal values. The set of features includes a color variable feature, a movement variable feature, a movement variable ratio feature and a background variable feature.

Nosologic classification of diseases is accessible on line in a computer system. A computer data base has records of discriminating features, consistent features and variable features of known afflictions. The features are in classification domains which include a phenomenologically classified domain, classified by listing commonly agreed on observations and distinguishing between entities based on these observations. Other classification domains are anatomically classified, pathologically classified by the gross of microscopic pathologic anatomy, revealed by either traditional pathologic study or imaging. One of the classification domains is pathophysiologically, by demonstrating altered chemical or electro physiological parameters. At least one of the classification domains is classified ethiologically by cause.

The invention discloses a variable characteristic extraction method for NOx prediction model of thermal power plant based on a comparison method, comprising the following steps: S1) collecting designdata of a target boiler, analyzing the combustion process of pulverized coal according to the actual operation environment, and finding out the main factors influencing NOx emission; S2) the data processed by S1 is screened based on mutual information, and the S-MIFS algorithm is used to select the input variables which have great influence on NOx concentration; S3) performing principal componentanalysis on the data obtained from S2 to select a component whose cumulative contribution reaches 95%; S4) dividing the result obtained by S3 into two groups, one group is sent to the neural network for training, and the other group is sent to the neural network for testing; S5) calculating the root mean square error between the output value of the neural network and the original test value; compared with the prior art, the invention can be used for extracting the input variable characteristics of the NOx prediction model of the thermal power plant, and can reduce the dimension of the input variable under the premise of slightly reducing the accuracy, and reduce the calculation time consumption.

The invention discloses a radar high-resolution range profile target recognition method based on a priori optimal variational autoencoder, thereby solving a problem of low identification rate in the prior art. The method comprises: step one, acquiring radar high resolution range imaging data and classifying the imaging data into a training sample set and a testing sample set; step two, preprocessing radar high resolution range profile data and constructing a priori optimal variational autoencoder formed by two perceptrons; step three, training the priori optimal variational autoencoder by using the training set data to obtain a trained first multi-layer perceptron and a trained second multi-layer perceptron; step four, extracting a hidden variable feature a corresponding to the training set and training an SVM; and step five, extracting a hidden variable feature b corresponding to the testing set and completing target identification of the testing set by using the trained SVM. Therefore, the identification rate is improved obviously; and the robustness of the noisy sample identification is enhanced. The method can be applied to environmental detection and track tracking.

A packaged semiconductor product includes a packaging substrate coupled to a semiconductor die through an interconnect structure with elements of variable features. The interconnect structure may be bumps or pillars. The variable features of the interconnect structure induce a reverse bend on the semiconductor die that mitigates warpage of the semiconductor die during semiconductor assembly by balancing bending of the packaging substrate during reflow. The variable features can be variable height and / or variable composition.

A device for use by an individual for sexual pleasure varying in form, i.e. shape, during its use and allowing for the user to select multiple variations of form either discretely or in combination and for these dynamic variations to be controllable simultaneously and interchangeably while being transparent to the normal use of the device, including the ability to insert, withdraw, rotate, and actuate the variable features manually or remotely. According to embodiments of the invention localized and global variations of devices are implemented using fluidics and electromagnetic pumps / valves wherein a fluid is employed such that controlling the pressure of the fluid results in the movement of an element within the device or the expansion / contraction of an element within the device.

A method includes forming a first mandrel layer above a first process layer. A first implant region is formed in the first mandrel layer. The first mandrel layer is patterned to define a plurality of first mandrel elements. At least a first subset of the first mandrel elements is formed from the first mandrel layer outside the first implant region and a second subset of the first mandrel elements is formed from the first implant region. First spacers are formed on sidewalls of the plurality of first mandrel elements. The first subset of the first mandrel elements are selectively removed without removing the second subset of the first mandrel elements. The first process layer is patterned using the first spacers and the second subset of the first mandrel elements as an etch mask.

The invention discloses a biological information analysis method and device for high-throughput sequencing, equipment and a storage medium. The method in one embodiment comprises the following steps of: obtaining high-throughput sequencing data of a to-be-tested gene sequence; analyzing the high-throughput sequencing data to obtain a gene sequence parameter of the to-be-tested gene sequence; extracting a user information parameter corresponding to the to-be-tested gene sequence; and classifying variable features comprising the gene sequence parameter and the user information parameter through a classification model obtained through training so as to obtain a gene classification result of the to-be-tested gene sequence. According to the method, the detection cost is reduced, and false positive and negative results occurring before can be corrected at the same time, so that the detection correctness is improved.

The invention provides a scene matching suitability analyzing method based on a multiple-feature integrating visual attention model. The scene matching suitability analyzing method based on the multiple-feature integrating visual attention model can effectively improve reliability of abstracting a suitability zone and accuracy in scene matching. Compared with a traditional method, high efficiency and reliability of a visual attention sensing circumstance are fully utilized and SURF non-variable features are added into a traditional visual attention model. The multiple-feature integrating visual attention model is established after integrating cross-scale feature images and merging with features such as colors, strength and directions. A zone which obviously abstracts real-time maps serves as a suitability zone based on the model. Reliability of suitability analysis can be effectively improved and the scene matching suitability analyzing method based on the multiple-feature integrating visual attention model has important significance in application of scene matching practical engineering.

The invention provides a prediction method and device for a popularization effect of a network application and terminal equipment. The prediction method for a popularization effect of a network application comprises the steps of acquiring network popularization data of a historical application delivered within a first preset time at a popularization position within a second preset time, wherein the network popularization data comprises operation data and accumulative revenue of a historical user; determining a preset number of variable features which are the most correlated with the accumulative revenue in the operation data; building a classifier model according to the variable features and the accumulative revenue; and acquiring network popularization data of the current application delivered at the popularization position within a third preset time, acquiring variable features of operation data in the network popularization data, and substituting the variable features into the classifier model to obtain the predicted accumulative revenue. The popularization effect of the current application can be timely known according to the accumulative revenue, and the utilization ratio of the popularization position is improved.

The invention discloses a banknote authenticating method based on the anti-counterfeiting feature of light change, which includes: when it is detected that the banknote enters the banknote inlet provided in the horizontal direction, the white light source arranged above the banknote passing channel is triggered to light up, and irradiates the banknote. For banknotes to be detected, the first image of the banknotes to be detected is collected by the color sensor arranged directly above the banknote passing channel; the cam mechanism arranged below the banknote passing channel is triggered to rotate until the convex part is on the upper side so that the banknotes to be detected are tilted, Using the color sensor to collect a second image of the banknote to be detected; comparing the luster and light change characteristic areas in the first image and the second image to determine whether it has the luster and light change characteristic. The method is easy to implement, low in implementation cost, fast and accurate in detection, and thus can accurately detect counterfeit currency, especially for counterfeit identification of altered currency, the effect is more obvious. For the feature of luster and optical change, the present invention can perform accurate detection.