186 results about "Enhancement Technologies" patented technology

The present invention is a system and method for detecting facial features of humans in a continuous video and superimposing virtual objects onto the features automatically and dynamically in real-time. The suggested system is named Facial Enhancement Technology (FET). The FET system consists of three major modules, initialization module, facial feature detection module, and superimposition module. Each module requires demanding processing time and resources by nature, but the FET system integrates these modules in such a way that real time processing is possible. The users can interact with the system and select the objects on the screen. The superimposed image moves along with the user's random motion dynamically. The FET system enables the user to experience something that was not possible before by augmenting the person's facial images. The hardware of the FET system comprises the continuous image-capturing device, image processing and controlling system, and output display system.

The present invention is a system and method for increasing the value of the audio-visual entertainment systems, such as karaoke, by simulating a virtual stage environment and enhancing the user's facial image in a continuous video input, automatically, dynamically and in real-time. The present invention is named Enhanced Virtual Karaoke (EVIKA). The EVIKA system consists of two major modules, the facial image enhancement module and the virtual stage simulation module. The facial image enhancement module augments the user's image using the embedded Facial Enhancement Technology (F.E.T.) in real-time. The virtual stage simulation module constructs a virtual stage in the display by augmenting the environmental image. The EVIKA puts the user's enhanced body image into the dynamic background, which changes according to the user's arbitrary motion. During the entire process, the user can interact with the system and select and interact with the virtual objects on the screen. The capability of real-time execution of the EVIKA system even with complex backgrounds enables the user to experience a whole new live virtual entertainment environment experience, which was not possible before.

The invention relates to an environment-friendly composite microbial preparation, preparation thereof, and application thereof to aquaculture. An environment-friendly composite microbial water purifying agent comprises the following components in percentage by weight: 20 to 40 percent of bacillus subtilis, 10 to 20 percent of bacillus licheniformis, 10 to 15 percent of bacillus megaterium, 10 to 15 percent of brevibacillus laterosporus, 5 to 10 percent of bacillus pumilus, 5 to 20 percent of bacillus coagulans and 2 percent of biological activating agent. The high-concentration composite microbial preparation is prepared by screening eight strains of probiotics by simulating the physiological functions of normal microbial flora in an aquaculture environment and through scientific compatibility, so that division and cooperation amount the bacterial strains can be realized, a biological enhancement technology can be combined with an indigenous flora activating technology, complex problems in a culture water body can be solved completely, the using amount is small, the cost is low, and the competitive advantage is remarkable.

The invention relates to the information technology field of radio electronics and telecommunication technology, and relates to an aggregate of wireless enhancement technology of high-speed data transmission in the wireless communication field, in particular to an all-in-one feedback retransmission method based on fountain code mainly applied to wireless channel data transmission high-speed data service in a general mobile communication system. The method utilizes the ratioless channel coding principle of the fountain code, improves the existing mixed bit error feedback retransmission HARQ method and data coding mode in a wireless link, and mainly solves the relevant technical problems of how to utilize unique fountain code series to carry out the algorithm flow of coding and decoding foreach data block. The method has the beneficial effects that the feedback retransmission method and relevant fountain code design scheme can lead the data throughput of the wireless link to be improvedby 110% compared with the prior art, and the method has higher efficiency when the data blocks segmented in each group is more or the initial transmission groups sharing the same retransmission groupare more.

The invention discloses an autonomous navigation signal enhancement method based on low-earth-orbit satellites. The method is implemented by use of a load carried on the low-earth-orbit satellites, wherein the load comprises a GNSS receiving module, a main control module, an emission module, a high-stability clock module, at least one set of GNSS signal receiving antennas and at least one set of enhancement information emission antennas; the GNSS receiving module is used for capturing and tracking navigation satellite signals and performing on-satellite autonomous orbit determination and autonomous time service; the main control module is used for interacting data with the GNSS receiving module and the emission module; the emission module is used for coding result data of on-satellite autonomous orbit determination and autonomous time service into telegraph texts and performing signal modulation and broadcasting; and the high-stability clock module is used for providing a time-frequency benchmark. According to the method, by uniting low-earth-orbit satellite navigation enhancement information and the navigation satellite signals to perform navigation positioning, the precision, availability and reliability of navigation positioning can be effectively improved. Besides, the method does not depend on a ground station, so that application is more flexible compared with a ground-based enhancement technology.

The invention discloses a service data real-time monitoring system and method based on a Java byte code enhancement technology. The system comprises the components: a monitored application side, Agentbeing deployed in a JVM, when the application program is loaded into the JVM, the Agent modifying and loading the class of the JVM by using ASM, codes of various events and measurement values being dynamically inserted and collected when the application program runs, the newly-added codes executing and obtaining various data and then sending the data to the monitoring platform side, and the Agentperiodically obtaining and executing instructions such as starting and stopping of the Agent and thread analysis issued by the monitoring platform side; a monitoring platform side, used for acquiringthe data of the monitored application side, processing the acquired data and putting the processed data into message queues with different themes of the message middleware according to data types, aconsumer acquiring the data processing from the message queues according to the different themes and performing pre-computation on the data of the themes according to time windows and dimensions by utilizing stream computation; and a user side obtaining the calculation result and outputting the calculation result.

The invention provides an end-to-end network interface detection method based on deep learning. The method comprises the following steps: (1) obtaining switch network interface images of different backgrounds and different cabinets of a machine room; (2) classifying the network interface images of the switch; Marking each image, and making a data label; (3) manufacturing a switch network interfaceimage data set by using a data enhancement technology; And (4) training a deep network YOLO v3 model, and storing a model result. The internet access image is obtained from the camera of the intelligent indoor inspection robot, the position and the category of the internet access in the image are obtained through algorithm processing, and then on-site real-time deployment is achieved. According to the invention, the network interface detection accuracy of the switch in the machine room can be improved, so that the deployment efficiency of the intelligent inspection robot is improved.

The invention provides a low-illumination image processing method and device. A noise suppression filter is additionally arranged before operation of contrast enhancement by aiming at a problem of noise amplification existing in an original low-illumination image contrast enhancement technology, and smoothing is performed on the inverse color image of a low-illumination image by adopting a first filtering coefficient and a second filtering coefficient so that image contrast is enhanced and random noise is suppressed simultaneously. Texture and noise level parameters of the image are calculated according to the local block interior characteristics of the image. Weighted averaging is performed on a first smooth image and a second smooth image after smoothing according to the texture and the noise level parameters. A texture image is obtained by performing texture structure extraction on the gradient image of the inverse color image, and the texture image is combined with the weighted image and the weighted image is sharpened so that the effect of enhancing image details can be realized. Therefore, contrast of the low-illumination image can be effectively enhanced, various types of noise can be filtered, the image color and details can be retained and thus a clear and lifelike restored image can be obtained.

The invention discloses a realization system for a call chain based on Annotation application. The system comprises an application container layer, an information transmission layer, an information storage layer, an information processing layer and an information expression layer. The system provides a call chain mark with an annotation mode; a code initiating RPC (Remote Procedure Call) is intervened by adopting a bytecode enhancement technology so as to automatically process tag information; during class loading, a necessary tracking code is injected for distributed call and performance information by intervening an application code so as to transmit tracking information; a mainstream RPC framework is encapsulated by adopting a plugin mode, and loading and extraction of each RPC framework to TraceHeader information are shielded. According to the realization system disclosed by the invention, call events between application services of an N-tier architecture and a cluster deployment can be tracked, and quick positioning performance bottleneck of call chain information, error link details and the like are formed.

The invention discloses an animation drawing auxiliary creation method based on a GAN. An integrated cartoon drawing auxiliary creation system is constructed by utilizing line draft professional enhancement technology based on generative adversarial network and reinforcement learning, line draft coloring technology based on related genus learning and color clustering, cartoon music album generation technology based on audio-visual association and emotion calculation and the like, so that the creation experience and artistic aesthetic appreciation of users are improved.

The invention discloses a method for identifying and estimating the water level of a hydrological ruler based on image analysis, which comprises the following steps: firstly, preliminary positioning of the hydrological ruler is realized through an HSV color space, and then an adaptive component map is constructed to realize accurate positioning of the hydrological ruler; The sample is expanded bydata enhancement technology, and the character segmentation is realized by fuzzy C clustering method for the positioned hydrological ruler image, then the training data set of convolution neural network is constructed and the whole character is recognized. The pixel heights of a plurality of complete characters E are calculated sequentially, and the mapping relationship between the pixel heights and the actual heights in the image is established based on the quadratic equation, and then the actual heights of the incomplete characters E are calculated. The invention can estimate the water depthby recognizing an image containing a hydrographic ruler, and is suitable for being integrated at a terminal, such as a front end of a camera, a camera and the like, and automatically estimating the water level of the water ruler.

The invention provides an orchard soil improving type organic fertilizer which comprises 40 to 60 parts of an active humic acid material and 40 to 60 parts of a strengthening material by weight. The active humic acid material is prepared by treating natural humus acid according to a biological fermentation activation process. Through functional enhancement technology, dual goals of not only quickly increasing soil pH value, but also continuously improving soil organic matter level can be achieved.

The invention provides a method and a device for enhancing image definition based on zoom factor, aiming to solve the problem that the existing image definition enhancement technology can not effectively treat image zoom. The invention can effectively enhance the image definition when input images are zoomed. The method for enhancing the image definition based on zoom factor comprises the following steps: obtaining the frequency component of the attribute value of pixel to be treated through filtering which adopts low-pass filtering or band-pass filtering; carrying out transient enhanced treatment on the frequency component obtained from the step; and merging the frequency component after the transient enhanced treatment and other separated frequency components so as to realize image definition enhancement. The method adjusts the image definition enhancement according to the image zoom factor, thereby solving the problem of the prior art, and effectively treating image definition enhancement when the images are zoomed.

The invention discloses a prior signal-to-noise ratio estimating method based on an MMSE error criterion and used for voice enhancement, and belongs to the technical field of voice signal processing. Aimed at the prior signal-to-noise ratio estimating problem in the voice enhancement technology, the method comprises the steps of: firstly carrying out preliminary estimation on a prior signal-to-noise ratio of noised voices based on the MMSE error criterion, carrying out Wiener filtering calculation on an obtained prior signal-to-noise ratio estimated value to obtain a first system gain factor, carrying out calculation on the first system gain factor an amplitude spectrum value of the noised voices to obtain a voice power spectrum estimated value, then utilizing the obtained voice power spectrum estimated value and a power spectrum estimated value of noise to carry out estimation once again, and obtaining a final prior signal-to-noise ratio estimated value. The prior signal-to-noise ratio estimated value is substituted into a subsequent voice enhancing step for processing, and de-noised estimated voice clearing signals are obtained. The prior signal-to-noise ratio estimating method based on the MMSE error criterion can effectively inhibit background noise components in estimated cleared voices, and excessive damages to the cleared voice components are avoided, so that the hearing quality of the estimated cleared voices is improved, and the performance of a voice enhancement algorithm is improved.

The invention discloses a rhythmicity physiological signal optimization method and device. The method includes the following steps: local energy enhancement is carried out on alternating current partof rhythmicity physiological signal, and peak location is confirmed. The invention enhances characteristics of systole by local energy enhancement technology and inhibits noise, thus improving accuracy of measurement.

The invention discloses an accurate drawing method for an omnidirectional object contour, and belongs to the fields of image displaying and processing. The accurate drawing method comprises the following steps: exporting three-dimensional coordinates of various nodes of a stereoscopic model; recording viewing angle parameters; generating an orthographic projection contour layer; erecting the object and calculating the three-dimensional contour of the object; carrying out viewing angle conversion and calculating the projection contour; merging self-intersected polygons and simplifying the internal structure of the contour; judging an occlusion relation and deleting overlapping shadows; and carrying out smooth processing. The accurate drawing method for the omnidirectional object contour is simple in algorithm and short in elapsed time; the extracted object contour is small in deformation; the contour drawing effect for an irregular object is good; overlapping can also be eliminated; and the overall extraction effect is improved by smooth processing on the contour. The accurate drawing method for the omnidirectional object contour not only can be applied to a reality enhancement technology, but also can be applied to a virtual simulation system and a GIS.

The invention discloses an action enhancement-based human face cheat-proof identification method and belongs to the technical field of digital image processing. Through an action enhancement technology, action information input in a CNN+LSTM network video is enhanced; in addition, for overcoming the defect of position information loss in an existing CNN+LSTM framework, an LSTM structure is added to the back of the last pooling layer, and a full connection layer is removed, so that the purpose of retaining position information is achieved, and an extracted sequence feature has a better distinguishing capability; and meanwhile, an attention mechanism is added to an improved framework, and by arranging a position confidence degree matrix, the confidence degree of a region with a remarkable position change is increased, so that LSTM more focuses on an action information concentration region.

The invention discloses a combined type environment-friendly device using the MVR-bipolar electrolysis-biological enhancement technology. The combined type environment-friendly device comprises a preprocessing unit, an evaporating and concentrating unit, a biochemistry unit and a bipolar electrolysis processing unit, wherein the preprocessing unit, the evaporating and concentrating unit, the biochemistry unit and the bipolar electrolysis processing unit are connected with one another through a pipeline. An MVR unit conducts proper concentration on industrial waste water through the steam recompression technology, distilled water can be recycled or discharged according to the standard, and a concentrated solution enters the bipolar electrolysis processing unit. The mesh-shaped unit type structural design is adopted for the units, the water flow short circuit can be avoided, the mass transfer effect is improved, the oxidoreduction efficiency is ensured, and therefore pollutants are thoroughly removed. An on-line bacterium throwing type membrane biological fixing system is adopted for a biological unit. PVA floating fillers where special efficient bacterium strains are attached are fixed in a biochemical pool, and the organic matter removing effect is enhanced through a timed on-line bacterium throwing system. The combined type environment-friendly device is an integrated device, and the wastewater treatment efficiency and the standard reaching effect are greatly improved when the MVR-bipolar electrolysis-biological enhancement technology is combined with a traditional wastewater treatment technology.

The invention relates to coverage enhancement technology in the field of satellite communication, and discloses an information transmission method based on a stratospheric quasi-static satellite base station, which comprises steps: (1) the stratospheric quasi-static satellite base station is formed by a stratospheric floating system, a communication load system and an operation control system, has small movement relatively to the ground, and can be deployed according to needs over a region with a satellite signal coverage enhancement requirement for providing long-time stable transparent forwarding or communication forwarding treatment service for various satellite users; and (2) the stratospheric quasi-static satellite base station distributes communication resources according to user types and service types, provides in-base station transmission service for communication between users in the current base station coverage region, provides inter-base station transmission service for communication outside the base station coverage region, signals are relayed and transmitted by the satellite via the base station, and subsequent communication transmission is completed via the satellite. Space and cost advantages of the stratospheric quasi-static satellite base station are used for providing convenient and high-efficiency coverage enhancement ability for satellite communication.

The invention discloses a gastric cancer pathological image canceration region segmentation method based on deep learning, which realizes complete segmentation of a gastric cancer canceration region and can greatly reduce the labeling time of professional doctors. Firstly, a data set is effectively expanded by utilizing a data enhancement technology; then adopting the semantic segmentation networkfor semantic segmentation of encoding-decoding, and adopting a new loss calculation mode, thus the problem that the network cannot converge when partial annotation data is used for training the network is solved, and accurate segmentation of all canceration areas is achieved in combination with an iterative training strategy.

The invention discloses a method for navigation positioning by use of digital frequency modulation broadcasting and belongs to the field of wireless navigation. The method comprises the following steps: realizing time synchronization among frequency modulation broadcast transmitters; the frequency modulation broadcast transmitters carrying wireless signals RF(t) whose navigation messages can be used for range finding; the frequency modulation broadcast receivers receiving wireless signals RF(t) broadcast by the multiple frequency modulation broadcast transmitters and parsing the navigation messages contained in the RF (t); and the frequency modulation broadcast transmitters using the navigation messages and the signals of themselves to perform positioning solution so as to obtain positions of themselves. Compared to the prior art, the method provided by the invention has the following advantages: the emission power of the frequency modulation broadcast transmitters is large, the indoor coverage capability is higher compared to space-based navigation and space-based navigation enhancement technologies; and the frequency modulation broadcasting bandwidth is small, and the receiver complexity is low, therefore, the cost is lower and the popularization is easier.

The invention discloses a preparation method for electrodeposition of Ni-Co/SiC nanocomposite coatings under a three-electrode system. The preparation method includes the following steps of (1) preparation of nano-particle SiC dispersion liquid; (2) preparation of modified electroplating liquid; and (3) preparation of the Ni-Co/SiC nanocomposite coatings. Under the three-electrode system, nano-SiCparticles are co-deposited with base metal through an electrochemical method to prepare the Ni-Co/SiC nanocomposite coatings. The preparation method has convenient sampling, easy process operation, low cost, large hardness, abrasion resistance and corrosion resistance, and is a high precision surface enhancement technology. The prepared deposited Ni-Co/SiC nanocomposite coatings have wide application prospects in surface material protection.

The invention discloses a scalp electroencephalogram feature extraction and classification method based on an end-to-end convolutional neural network, and the method comprises the steps: carrying out the data enhancement of training data, and enabling the enhanced training data to train the convolutional neural network; inputting the to-be-detected data into the convolutional neural network for feature extraction and classification. The feature extraction and classification method comprises the following steps: S1, filtering an original scalp electroencephalogram signal by using a band-pass filter to obtain signals xtheta, xmu and xbeta; S2, performing multi-scale time convolution and spatial convolution on the signals xtheta, xmu and xbeta respectively to extract features; s3, performing pooling operation on the feature map output by the convolutional layer; s4, after pooling, carrying out feature fusion, and then sending the feature fusion to a full connection layer to integrate the input abstract features; and S5, sending the output of the full connection layer to a softmax layer for classification. According to the method, a brand new data enhancement technology is applied in a training stage, data is input into a plurality of convolutional neural network branches for multi-scale convolution operation after passing through a filter bank in a test stage, the overfitting phenomenon is reduced, and the classification accuracy is improved.

The invention discloses a raman spectrum enhancement measuring system which comprises a grating spectrometer, a light emitting/receiving probe, a sample tank and a laser light source, wherein the sample tank is a liquid core waveguide tube sample tank, the liquid core waveguide tube sample tank comprises a liquid core waveguide tube, the liquid core waveguide tube is arranged in a sealed chamber,an incidence window is arranged on the sealed chamber and at the position right facing a pipe opening of the liquid core waveguide tube, an emergence window is arranged on the sealed chamber and at the position right facing the other pipe opening of the liquid core waveguide tube, the laser light source can irradiate the incidence window of the sample tank through an exciting light path in the light emitting/receiving probe, and the emergence window of the sample tank can irradiate the grating spectrometer through a signal detecting light path in the light emitting/receiving probe. The raman spectrum enhancement measuring system disclosed by the invention can solve nonlinear and uneven enhancement phenomena in gold, silver and the like nano enhancement technologies and makes up the problemthat an enhancement effect of liquid core waveguide is insufficient at the same time, so that the raman enhancement technology can achieve better application in pesticide residue detection.

The invention discloses a noise suppression-enhancement sigma delta modulator structure. Quantizing noise is obtained by making a difference between an input signal and an output signal of a quantizer Q; the quantizing noise is delayed by one period and then fed to integrators, and therefore, one-order noise shaping can be increased in addition to realizing the normal noise suppression, i.e., under the condition that the quantity of the integrators is not changed, a single-ring structure modulator is used for improving the suppression order number of the quantizing noise by one order. The noise suppression-enhancement sigma delta modulator structure disclosed by the invention provides a noise suppression-enhancement technology based on the conventional modulator, and the quantizing noise suppression order number which can be realized by the noise suppression-enhancement technology is higher than the number of the integrators in the modulator; and on the condition of realizing the same performances, the integral power consumption is lowered, the chip area is reduced and the economic benefits are greatly improved.