64 results about "Age changes" patented technology

An information processing system which self-detects a change in the actual performance of memory elements due to mounting positions, change in environment, and aging changes to enable the memory elements to stably operate at the highest possible performance without shutting down the system. For implementing an optimal memory access for each of memory elements mounted in a memory unit, a memory controller is provided with a memory timing table which stores operation timings corresponding to the respective memory elements. The timing table is updated in response to an instruction from an apparatus for monitoring the memory operation, and the updated table is applied to a processing request after the update instruction. The apparatus for monitoring the memory operation includes an environmental sensor disposed around the memory elements, a counter for accumulating error information which is generated each time the memory unit is accessed, and so on.

The invention discloses a multi-gesture and cross-age oriented face image authetication method. The method comprises the following steps of: rapidly detecting a face, performing key point positioning, performing face alignment, performing non-face area filtration, extracting the face features by blocks, performing feature dimension reduction and performing model prediction. The method provided by the invention can perform the face alignment, realize the automatic remediation for a multi-gesture face image, and improves the accuracy rate of the algorithm, furthermore, the feature extraction and dimension reduction modules provided by the invnetion have robustness for aging changes of the face, thus having high use value.

A statistical and functional correlation strategy to identify changes in cellular pathways specifically linked to impaired cognitive function with aging. Analyses using the strategy identified multiple groups of genes expressed in the hippocampi of mammals, where the genes were expressed at different levels for several ages. The aging changes in expression began before mid-life. Many of the genes were involved in specific neuronal and glial pathways with previously unrecognized relationships to aging and / or cognitive decline. The processes identified by the strategy suggest a new hypothesis of brain aging in which initially decreased neuronal activity and / or oxidative metabolism trigger separate but parallel genomic cascades in neurons and glia. In neurons, the cascade results in elevations in calcium signaling and reductions of immediate early gene signaling, biosynthesis, synaptogenesis and neurite remodeling. In contrast, glia undergo increased lipid metabolism and mediate a cycle of demyelination and remyelination that induces antigen presentation, inflammation, oxidative stress and extracellular restructuring. These identified genes and the proteins they encode can be used as novel biomarkers of brain aging and as targets for developing treatment methods against age-related cognitive decline, Alzheimer's Disease and Parkinson's Disease.

The invention discloses a face change prediction method based on a generation antagonism network, which comprises the following steps: S1, acquiring a face data sample; S2, constructing a generation antagonism network model composed of a generator and a discriminator, designing a loss function, and iteratively training the generator and the discriminator; S3, inputting the target young person faceimage to be processed into the generated antagonism network model after training, and outputting the target old person face image corresponding to the target young person face image. Adopting the invention, by constructing a unique generation antagonism network model and a loss function, the invention has good robustness to age change, and at the same time, the invention also considers the information changes of forehead and hair, and further improves the accuracy and uniqueness of prediction.

The method provides a method, an apparatus and equipment for establishing a face identification model and a computer storage medium. The method comprises the following steps of taking a face image where age is marked of a known user as a training sample; and using the training sample to train a deep neural network so as to acquire the face identification model, wherein the face identification model is used for carrying out user identification on the input face image. In the invention, a problem that a face identification rate is decreased because of age changes can be solved, and robustness offace identification to ages is increased.

The present disclosure provides a method and apparatus for building a human face recognition model, a device and a computer storage medium, wherein the method comprises: regarding a known user's face images annotated with ages as training samples; using the training samples to train a deep neural network to obtain a human face recognition model, the human face recognition model being used to perform user identification for input face images. The present disclosure can solve the problem about reduction of the face recognition rate caused by age changes, and improve robustness of face recognition for ages.

The invention discloses an age-tolerant face recognition method. The depth network VGG-Face is trained to perform age-tolerant face recognition, and it is necessary to collect face data of different age stages for training, but collecting faces from the same person at different times is a difficult task, thus the invention completes the generation of human faces at different ages by means of the generation antagonism network, and a cross-age database composed of face pictures of a plurality of persons at different ages is constructed. Then, the faces at part of the different ages in the database form a training set, and the faces on the rest different ages form a testing set, and the network is trained by the two sets, the classification of different faces is achieved through softmax, so as to complete the age-tolerant face recognition. A main use of the invention is to realize cross-age face recognition under the condition of incomplete pictures of people at different times.

A computer-implemented dynamic data filtering system and method for selectively choosing operating data of a monitored asset that modifies or expands a learned scope of an empirical model of normal operation of the monitored asset while simultaneously rejecting operating data of the monitored asset that is indicative of excessive degradation or impending failure of the monitored asset, and utilizing the selectively chosen data for adaptively recalibrating the empirical model to more accurately monitor asset aging changes or operating condition changes of the monitored asset.

The purpose of this invention is to provide a repeatedly chargeable and dischargeable quantum battery that is available for a long period of time without an aging change. The quantum battery is charged by causing an n-type metal oxide semiconductor to have a photo-exited structural change, thereby the electrode of quantum battery is prevented from being oxide and a price reduction and stable operation are possible. The repeatedly usable quantum battery is constituted by laminating; a first metal electrode having an oxidation preventing function, charging layer in which an energy level is formed in the band gap by causing an n-type metal oxide semiconductor covered with an insulating material to have a photo-exited structure change and electrons are trapped at the energy level; p-type metal oxide semiconductor layer; and a second metal electrode having the oxidation preventing function, the electrodes are passive metal layers formed of metals having passive characteristics.

The invention relates to an improved process for activated sludge and biomembrane composite A<2>O. The improved process consists of three stages of processes, i.e. an anaerobic stage, an anoxic stage and an aerobic stage, and is characterized in that a ciliary biological packing material is added in an aerobic reactor; an ultrasonic treatment device is adopted to carry out cavitated decomposition for residual sludge inside a secondary settling tank so as to form organic substance with liquid solubility; moreover, the sludge is returned to the front end of an anoxic reactor. The improved process adopts the ciliary biological packing material to fix a great amount of nitrifying bacteria of long generation reproduction time, thereby improving the speed of nitration reaction and reducing the influence on nitrifying flora caused by sludge age change; the ultrasonic treatment device is adopted to treat residual sludge, thereby making use of efficient useful substances contained in the residual sludge; meanwhile, the improved process solves the problem of insufficient carbon source during A<2>O technological process, and maintains better denitrogenation and dephosphorization effects for an A<2>O technological system at the same time.

An age-converting method of human face based on average face and ageing scale map includes dividing human face to be shape vector and vein vector based on dense feature presentation, applying human face cartoon synthetic technique to finalize young conversion of specific human face by calculating difference between specific human face to average human face, combining human face image vector modeling with human face image ageing conversion for realizing human face image ageing analog in accordance with physiological feature.

The invention discloses an online intelligent monitoring method for working performance of concrete at a construction site. Through real-time collection and detection of an ageing change rule of rheological parameters of mixtures in the same mixing batch at a mixing floor discharge hole and the construction site, and the methods of analyzing, evaluating and feeding back by a terminal server, the working performance of the concrete in construction and transportation processes is monitored in real time. According to the online intelligent monitoring method, automatic intelligence of the detection process is achieved, overlarge deviation in difference of the working performance of the concrete at the construction site can be avoided, and the quality stability of the concrete mixture is ensured.

The invention discloses a human face image age changing method based on average face and aging scale map, comprising the steps of: dividing the human face to be shape vector and vein vector with dense feature presentation; using a human face cartoon synthetic technique to complete young changing of specific human face by calculating difference between the specific human face and the average human face and further reducing the difference; and combining human face image vector modeling with human face image ageing changing for realizing human face image ageing analog in accordance with physiological feature. According to the changing of human face shape feature caused by aging, some feature line of the human face shape is modified so as to realize shape ageing analog; and for the change of vein feature, an aging scale map is prepared in a way of scale map, according to vein mapping, the vein feature aging analog of the human face shape is realized. The method fully considers the unified change of the shape and the vein when human face age changes, thereby greatly increasing the third dimension of synthetic image.

The invention discloses an age interference resistant face recognition method, which adopts an end-to-end non-cascade structure deep convolutional neural network to perform feature extraction and facerecognition on pictures of the same person at different age stages, and comprises the following steps of obtaining the pictures through an age-crossing face database, and forming a training set and atest set; expanding the data by adopting a data set increasing method to form a training image; establishing the end-to-end non-cascade structure deep convolutional neural network containing seven convolutional layers, three maximum pooling layers, one full connection layer and one softmax layer, and performing network training on the end-to-end non-cascade structure deep convolutional neural network; extracting the deep abstract features of the faces through a deep neural network to carry out face recognition, so that the method has the advantages of considering the time and performance, hasbetter adaptability to the face angle, the illumination intensity and the shielding degree, effectively overcomes the influence of age change on the face recognition, and improves the cross-age facerecognition precision.

The invention provides an age transformation method and device of a face image. The age transformation method includes: acquiring, according to face images respectively corresponding to a plurality ofcharacters in a plurality of different age stages, an age noise image which is in each face image and related to age; constructing a plurality of neural network models according to the plurality of age noise images, wherein each neural network model is used for transforming the age noise images of one age stage into age noise images of another age stage; acquiring the first face image of a targetcharacter in a first age stage; and transforming the first face image according to the neural network model to obtain a second face image of the target character in a second age stage. According to the embodiment of the invention, face images with large age changes can be precisely modeled, and a correct rate of face recognition can be increased.

The present invention includes a method of measuring the efficacy of a skin treatment program on human skin. The method comprises: a. accessing a multiplicity of photographic images of human faces, each image having associated with it a chronological age of the human whose likeness it captures; b. assessing the multiplicity of photographic images of human faces for a facial parameter; c. scoring the facial parameter on each image according to a scoring system to create a parameter score for each image; d. correlating the parameter scores to the chronological ages to obtain an age-parameter correlation; e. scoring an untreated subject human face for the facial parameter to obtain a subject baseline parameter score; f. treating the subject human face with a skin treatment program; g. scoring the treated subject human face for the facial parameter to obtain a subject treatment parameter score; h. determining the difference between the subject baseline parameter score and the subject treatment parameter score to obtain a treatment score difference; and i. comparing the treatment score difference with the age-parameter correlation to determine a constructive age change of the human face effected by treatment of the human face with the skin treatment program.

The invention discloses a method for testing aging change of polymer material. The method unifies the integrated aging effect of environmental factors such as moisture, heat, light, oxygen, corrosive medium and stress on the material as energy transfer from the environment to the material, thereby directly resulting in the difference of destruction work of the material before and after aging. Therefore, the change of the destruction work of the material before and after aging can be utilized to characterize the aging effect degree of environmental factors on the material. Compared with prior art, the technical scheme of the method avoids the technical difficulties unsolved by normal methods, has no need for considering independent aging effect of each environmental factor on the material, no need for determining synergic aging effect factor, and no need for assuming conditions, and is more accurate. The implementation approach is simple and easy.

The present invention provides an image display device capable of adjusting fluctuations in reference voltages of counter electrodes caused by aging changes in liquid crystal display elements without hindering display of input signals. In the present invention, an image display device that irradiates light from a light source onto a liquid crystal display element, forms an optical image corresponding to an image signal, and enlarges and projects it is provided with a reflector that reflects light irradiated onto the liquid crystal display element. mirror, a light sensor provided on the reflection mirror to detect light intensity, a drive circuit to drive the liquid crystal display element, and a control circuit to control the drive circuit based on the light intensity detected by the light sensor.

A bit error rate is improved and, at the same time, an aging change due to thermal fluctuation is decreased. In one embodiment, a magnetic recording medium has first, second, third, and fourth magnetic layers stacked over the underlayer film on a substrate. The product (Brt2) of the residual magnetic flux density and film thickness of the second magnetic layer is smaller than the product (Brt3) of the residual magnetic flux density and film thickness of the third magnetic layer. The second magnetic layer has a thickness larger than that of the third magnetic layer and is anti-ferromagnetically coupled with the first magnetic layer by way of the first non-magnetic intermediate layer. The fourth magnetic layer is formed by way of a second non-magnetic intermediate layer above the third magnetic layer. The product (Brt4) of the residual magnetic flux density and film thickness of the fourth magnetic layer is from about 47% to 52% of the product (Brt_total) of the residual magnetic flux density and film thickness of the entire magnetic layers in a state of residual magnetization with the external magnetic field removed.

The invention specifically discloses a system for detecting solid strength of mass concrete, which comprises a temperature acquisition unit, a communication module and a curing center, wherein the temperature acquisition unit is used for detecting the internal temperature of the mass concrete; the communication module is connected with the output end of the temperature acquisition unit and is used for transmitting the temperature data detected by the temperature unit; and the curing center is connected with the output end of the communication module and is used for receiving the temperature data transmitted by the communication module, performing real-time corresponding variable temperature curing for a concrete sample according to the temperature data and detecting the strength value of the concrete sample. The invention also provides a method for detecting the solid strength of the mass concrete. The solid temperature of the mass concrete can be directly reflected in the curing center in real time, the concrete sample subjected to variable temperature curing in the curing center directly and accurately reflects the development condition of the solid strength of the mass concrete and the corresponding strength value along with the age change, and the detection can be implemented without breaking the mass concrete solid.

The invention discloses a face recognition method. The method comprises the following steps that: step 1, facial feature template data are collected and are arranged in a standard library, and at least one auxiliary library is set, and facial feature template data in the auxiliary libraries are added, updated, replaced, or deleted during a use process; step 2, facial feature template data to be matched are extracted from a photo to be matched or a face information electronic carrier to be matched, and are matched with the data in the standard library, face data matched with the data in the standard library are outputted normally; and if face data matched with the facial feature template data to be matched cannot be found in the standard library, the facial feature template data to be matched are further matched with the data in the auxiliary libraries, if face data matched with the facial feature template data to be matched exist in the auxiliary libraries, the face data are outputted.With the method adopted, the problem of excessively low recognition rate or recognition error of faces which are caused by shooting angles, age change, shielding objects can be solved, and a face recognition rate can be improved.

A method for non-surgical rejuvenation of facial skin to correct both Type a aging changes in the epidermis layer of the skin causing visual changes in the skin and Type 2 aging changes in the dermis layer of the skin causing damage to supportive elements of the skin. The method includes the steps of exfoliation of the facial skin, stimulation of new dermal collagen deposition, removal of at least one of pigment and superficial blood vessels, relaxation of facial expression muscles, filling of soft tissue defects including at least one of deep facial lines and contour deformities, and tightening of the facial skin, and the steps of the method are applied according to a selected one of a plurality of age determined regimens.

The invention provides a noninvasive age estimation method based on skin texture information, which excavates skin surface texture information changing with age, aiming at providing a new, convenient and noninvasive age deduction method for medical workers. The method comprises: first noninvasively collecting the skin image of a forearm ventral side central section; preprocessing the collected skin image and extracting characteristics to obtain skin texture lines and a gray-level co-occurrence matrix; and finally calculating corresponding characteristic parameters, and utilizing a statistical method to analyze the correlation between the parameters and age to obtain an age deduction mathematical model. Statistical results show that the skin texture parameters in the method all have higher linear correlation with age; the age deduction mathematical model obtained through statistics analysis is used for testing 15 volunteers, and obtained age deduction errors are all within three years, which proves the effectiveness of the age estimation method; in addition, the age estimation method is extremely low in cost, and is hopeful to be used for medical age objective deduction.

Upon setting of a halftone process of an initial setting, there is such a problem that graininess deteriorates due to an aging change or an environmental change. To solve this problem, an image processing apparatus executes a halftone process on a test image for tone correction and prints the processed test image; forms a tone correction table in accordance with read values from the printed test image; obtains graininess from a read value of a low density portion of a tone correction patch of the test image for the tone correction; discriminates whether the obtained graininess exceeds a predetermined reference level; and changes a setting of the halftone process so as to reduce the graininess when it is discriminated that the obtained graininess exceeds the predetermined reference level.

A method for non-surgical rejuvenation of facial skin to correct both Type 1 aging changes in the epidermis layer of the skin causing visual changes in the skin and Type 2 aging changes in the dermis layer of the skin causing damage to supportive elements of the skin. The method includes the steps of exfoliation of the facial skin, stimulation of new dermal collagen deposition, removal of at least one of pigment and superficial blood vessels, relaxation of facial expression muscles, filling of soft tissue defects including at least one of deep facial lines and contour deformities, and tightening of the facial skin, and the steps of the method are applied according to a selected one of a plurality of age determined regimens.

A circuit device includes an oscillation signal generation circuit that generates an oscillation signal having an oscillation frequency, the oscillation frequency being a frequency set by using frequency control data, and a processor that is configured to perform a signal process on input frequency control data, and. The processor is configured to acquire the frequency control data from which an environmental change component is removed of the environmental change component and an aging change component by using environmental change component information, and perform aging correction on the basis of the frequency control data from which the environmental change component is removed.