77 results about "Age values" patented technology

Provided are a method and apparatus for wear-leveling of a nonvolatile data storage device, whereby a wear-leveling effect is maximized by storing an age value indicating a write time in each data unit of the nonvolatile data storage device and detecting a static data area based on age values. The method includes storing an age value indicating a write time in each unit assigned to write data therein, reading an age value stored in a unit, and determining a static data area based on the read age value. Accordingly, a static data area can be correctly detected without additional overhead, and a wear-leveling effect of the entire storage device can be increased by moving data to and from the static data area, thereby extending the lifespan of the storage device.

A system for controlling an OLED device having an output that changes with time or use is described, comprising: a) an OLED device responsive to a corrected input signal having one or more light emitting elements and a temperature sensor for sensing the temperature of the OLED device to produce a temperature signal; b) a controller including: i) a first calculation circuit responsive to the temperature signal, a corrected digital input signal, and a pre-determined aging function to produce a digital aging value corresponding to the aging of the light emitting elements; ii) an accumulation circuit for integrating the digital aging value over time to provide a digital accumulated aging value; iii) a second calculation circuit responsive to the digital accumulated aging value for calculating a digital correction signal; and iv) a transformation circuit responsive to a digital input signal and the digital correction signal for transforming the digital input signal to the corrected digital input signal.

A system and method for refreshing a cache based on query responses provided by a searching system in response to queries, includes providing a cache entry for each unique query, if space is available in the cache, and assigning a temperature value to each cache entry based on a frequency of occurrence of the corresponding query An age value is assigned to each cache entry based on a time of last refresh or creation of the corresponding query response. The age of the cache entries is periodically updated, and the temperature of a cache entry is updated when a corresponding query reoccurs. If system resources are available, the query response of a cache entry is refreshed based on the temperature and age of the cache entry. If resources are not available, the refreshing is limited.

System and method for evaluating an information aggregate. A metrics database stores document indicia including document attributes, associated persons and age of creation. A query engine responsive to a user request and the metrics database aggregates documents having same, unique attributes and calculates therefrom, or from meta data defining the aggregate, an age value of the aggregate. A visualization engine visualizes age values for a plurality of aggregates at a client display.

The present invention is directed to a number of improvements in methods for hot-carrier device degradation modeling and extraction. Several improvements are presented for the improvement of building device degradation models, including allowing the user to select a device parameter used to build the device degradation model independent of the device parameter selected. The user can also select the functional relation between stress time and degradation level. To further improve accuracy, multiple acceleration parameters can be used to account for different regions of the degradation process. Analytical functions may be used to represent aged device model parameters, either directly or by fitting measured device parameters versus device age values, allowing devices with different age values to share the same device model. The concept of binning is extended to include device degradation. In addition to a binning based on device width and length, age is added. In an exemplary embodiment, only devices with minimum channel length have degraded models constructed. The present invention also allows the degradation of one device parameter to be determined based on an age value derived from another parameter. In yet another aspect, a degraded device is modeled as a fresh device with a voltage source connected to a terminal.

The invention discloses a soft double-layer age estimation method based on facial image fusion features. The method includes the first step of obtaining a facial image to be estimated, the second step of preprocessing the facial image, the third step of extracting fusion features x, the fourth step of judging whether the soft double-layer age estimation method exists, if yes, going to the sixth step, and if not, going to the fifth step, the fifth step of learning the soft double-layer age estimation method, extracting fusion features of training images, dividing the training images into two stages, conducting learning to obtain a binary classifier F(x), setting an overlapping area at the age boundary, expanding the age range in each stage and conducting learning to obtain regression models Y(x) and A(x), the sixth step of inputting the fusion features x into the soft double-layer age estimation method, using the binary classifier F(x) to conduct classification first, and then selecting to apply the regression model Y(x) or A(x) according to a classification result to obtain an estimated age value y, and the seventh step of conducting correction processing on the estimated age value.

A cache controller applies an aging policy to a portion of a cache based on access metrics for different test regions of the cache, whereby each test region implements a different aging policy. The aging policy for each region establishes an initial age value for each entry of the cache, and a particular aging policy can set the age for a given entry based on whether the entry was placed in the cache in response to a demand request from a processor core or in response to a prefetch request. The cache controller can use the age value of each entry as a criterion in its cache replacement policy.

The present invention relates to the field of terminal technologies and provides a terminal configuration method and apparatus, where the method includes: obtaining an image that includes a facial feature of a user; extracting the facial feature of the user from the image; obtaining, according to a preset age model, an estimated age value that matches the facial feature of the user; and loading a preset user interface into the terminal according to the estimated age value. The present invention makes a user convenient to use a terminal and enhances user experience.

The invention provides a data mining method and device and belongs to the field of data mining. The method comprises the steps of scanning a transaction database to obtain multiple transactions and at least one item; acquiring multiple candidate item sets; for each candidate item set, calculating the weighted support degree of the candidate item set according to the weight of each item in the candidate item set and the number of specific businesses including the candidate item set; calculating the ageing value of each candidate item set according to the occurrence time of each specific business; judging whether the ageing value of each candidate item set is greater than a first threshold value and the weighted support degree is greater than a second threshold value; if the ageing value of one candidate item set is greater than the first threshold value and the weighted support degree is greater than the second threshold value, determining the candidate item set as a recent high weight frequent item set. Based on the time-based element of item sets, the probability of appearance of disturbance is reduced, and the association rules between the items in a mined recent high weight frequent item set can accurately reflect recent association rules, so that the accuracy and practicability are improved.

The present invention provides a face age estimation method based on deep learning. The method comprises: S1: establishing a deep learning network model; S2: employing a classification mode to perform pre-training of the deep learning network model to allow the deep learning network model to have a classification capacity; S3: performing fine regulation on the basis of the step S2, and allowing the deep learning network model to have capabilities of learning of an appearance age and estimation of the appearance age; S4: using 80% of a data set in a real age data set as a training set to perform fine regulation of the deep learning network model, and using the 20% of the data set in the real age data set as a test set to perform the test of the deep learning network model; S5: constructing an indirect regression method to estimate an age value on the basis of the software output value of the last one full connection layer in a convolutional neural network model; and S6: inputting a detected face image, and obtaining the face age of the detected face image.

The invention relates to an image processing method and device, a storage medium and electronic equipment. The method comprises the following steps that: obtaining a face in an image; obtaining an image set with the same face in the image; identifying an age value corresponding to the face of the image in the image set; according to the age value, generating the sorting information of the image ofthe image set; and according to the sorting information and the image set, generating a photo album which contains images in the image set and has a time sequence. By use of the above image processing method and device, storage medium and electronic equipment, user viscosity can be improved.

The embodiment of the invention provides an age estimation model training method, an age estimation method and a corresponding device, and the method comprises the steps: obtaining a training sample, and enabling each sample to be a face image marked with a corresponding age label; determining age label distribution corresponding to the age labels of the samples; based on the samples and the age label distribution, training an age estimation model until a total loss function of the age estimation model converges; wherein the total loss function comprises a distribution loss function and a regression loss function, the distribution loss function represents the difference between the age label distribution and the predicted age distribution of the sample, and the regression loss function represents the difference between the age label and the predicted age value of the sample. Based on the scheme provided by the embodiment of the invention, the accuracy of age prediction can be effectively improved, and the actual application requirements are better met.

The invention relates to an age prediction method and apparatus and a terminal. The method comprises the steps of acquiring multiple frames of facial images of a user in a view-finding area; inputting the acquired frames of the facial images into a pre-trained prediction model, and performing age prediction on the user to obtain a plurality of predicted age values of the user; and determining a current age reference value based on the predicted age values, and displaying the age reference value. By applying embodiments of the method, the apparatus and the terminal disclosed by the invention, the age reference value finally displayed to the user is determined based on the predicted age values, so that the age prediction accuracy can be improved, the excessively large difference among the predicted age values is avoided, the excessive deviation between the displayed age reference value and an actual age value can be avoided, and the user experience is optimized.

A garbage collector for more efficient placement of objects referenced from external references. The expected life times of these objects is measured by trial and error, by the class or type, by how often the object has been evacuated or the external reference processed, by the stability and longevity of the root source, or by the prolificness of the class or type of object. The measured value is held in the header of each object in an AGE field available for this purpose. These objects may be evacuated into existing trains or into new trains, or into a combination of existing and new trains. When new trains are created the trains are distributed among the existing trains according to a distribution contour that may be linear, normal, gamma or any other contour that might be found useful. Also, when new trains are created the youngest train must be a new train. When objects are evacuated into existing trains the objects are placed in trains according the survivability of the objects with the longer-lived objects placed proportionally in the younger trains. The objects are evacuated into the new trains from oldest to youngest trains according to the value in the AGE field. The higher the value the younger the train. A threshold on the AGE value may be established such that when the threshold is reached, the objects are evacuated into the youngest new train.

The invention relates to a method for detecting the intensity of concrete of a micro-destructive field and a realization device thereof, and belongs to the field of architectural and civil engineering. The device comprises an aiguille, a drilling machine, a force application rack and an external force monitor; and the external force monitor is arranged on the force application rack and detects the external force applied by the force application rack. In operation, the external force is applied on the force application rack; the drilling machine connected with the force application rack screws in; further the aiguille drills into the concrete to mensurate the drilling aging value; the measure step is repeated for multiple times; the drilling aging values of a plurality of points are mensurated; odd values are eliminated to obtain a mean value; and according to a formula that C is equal to alpha psi h, the intensity of the concrete is obtained. The method has a simple structure and convenient operation and can be applied to the detection of the intensity of the structural concrete with long service time.

The invention relates to an age estimation method for a face image. The age estimation method comprises the following five parts: (1) an image is blocked; (2) a matrix after blocking processing is learnt by using a PCA algorithm so as to acquire a convolution kernel for a convolution operation; (3) the acquired convolution kernel is learnt by using the PCA algorithm so as to carry out the convolution operation; (4) nonlinear processing is carried out behind a second convolution layer by using a mode of binarization; and (5) feature extraction is carried out by using a method of histogram statistics. According to the method, an age value is estimated by using nonlinear K-SVR (Kernel function Support Vector Regression) after feature extraction, and experiments show that the accuracy of age estimation can be greatly improved.

The invention provides an age recognition method based on face attributes. The age recognition method is used for performing face recognition on a to-be-recognized image so as to judge a predicted agevalue of a person corresponding to the to-be-recognized image; the method is characterized by comprising the following steps: S1, constructing a deep neural network model based on classification regression, and training the deep neural network model by using a plurality of existing face images with corresponding actual age values as a training set, thereby obtaining a trained deep neural networkmodel as an age prediction model; S2, preprocessing the to-be-identified image to obtain a preprocessed identification image; and S3, inputting the preprocessed recognition image into an age prediction model to obtain an age expected value as a predicted age value.

The present invention relates to a method for estimating the ageing of a steering mechanism (1) during which the ageing of the steering mechanism is assessed by calculating a so-called ageing value in accordance with an ageing function (old, old2, ene) which corresponds to the integral, over time, of an expression which is weighted by a stress indicator (Tm(u), Ts(u)), the value of which, at each moment (u) in question, is representative of the strength of a biasing force (Tm, Ts), such as the control force exerted by the power-steering motor (2), that is applied to said steering mechanism (1) at said moment in question.

An arbiter that performs accelerated arbitration by approximating relative ages including a memory, blur logic, and grant logic. Multiple entries arbitrate for one or more resources. The memory stores age values each providing a relative age between each pair of entries, and further stores blurred age values. The entries are divided into subsets in which each entry belongs to only one subset. The blur logic determines each blurred age value to indicate a relative age between an entry of a first subset and an entry of a different subset for each pair of subsets. The grant logic grants access by an entry to a resource based on relative age using corresponding age values when comparing relative age between entries within a common subset, and using corresponding blurred age values when comparing relative age between entries in different subsets. Each blurred age value represents multiple age values to simplify arbitration.