81results about How to "Get rid of distractions" patented technology

The method includes following procedures: server receives request with carried ID of member in network chat room (NCR) for creating discussion group; server assigns discussion group ID for group as well as saves ID of member in network chat room, and coincidence relation between discussion group ID and IDs of members in NCR; server receives speech request with carried discussion group ID, obtains ID of member in NCR corresponding to discussion group ID, and forwards speech request to client end corresponding to ID of member in NCR. The invention also discloses the server. The invention realizes that multiple members get together to intercommunicate without interference in NCR.

The invention discloses an accurate positioning method and an accurate positioning system for a target, which are used for positioning the target which is provided with a tag. The accurate positioning method is characterized in that: in the target positioning process, a node sends a broadcast signal to notify the tag within the distance measurement range to prepare for distance measurement; the tag identifies the broadcast signal and sends a distance measurement signal to the node; the node receives the distance measurement signal and then sends an acknowledgement signal to the tag after the response treatment; the tag receives the acknowledgement signal and sends the acknowledgement signal back to the node; and the node calculates the distance between the tag and the node based on time information carried in the sent-back acknowledgement signal, and the sends the calculated distance value to a central server so as to position the target. As the signals are symmetrically received and sent in multiple rounds between the nodes and the tag, the relative distance between the node and the tag can be determined by obtaining an average value of the relative distances between the nodes and the tag, in this way, the tag is positioned. Therefore, according to the accurate positioning method and the accurate positioning system for the target, the interferences of noises and multipath signals are avoided, and the positioning accuracy is increased.

The invention discloses a multi-scale variable-step autofocusing searching method. Searching range and searching step length are gradually reduced through multiple times of searching, and the peak of a curve is determined through curve fitting rather than the maximum value of a sharpness evaluation value so that the searched focusing position is enabled to be close to the real focusing point as far as possible; two successive times of searching positions are compared by adopting threshold setting, and completion of searching steps is determined; and the searching position of the maximum value of the evaluation value of each time of searching acts as the center point of the next searching interval to take symmetric intervals for searching in the process of multi-scale searching so that real focusing point is ensured to be included in the interval. According to the method, interference of the local peak value can be effectively eliminated, and optimal searching can be realized, focusing efficiency is high and focusing is accurate.

The invention discloses a scenic spot scenery moving augmented reality method based on space relationship and image analysis. The method comprises the following steps that a geographical space data model facing an object is adopted for building a scenic spot geographical database according to the scenic spot scenery moving augmented reality guide demands and the scenic spot scenery space data organization characteristics; a built-in sensor of an intelligent mobile phone is adopted for obtaining the current position coordinates and the space orientation, an image pick-up view sight model based on multiple sensors is built, and the corresponding relationship between the real scenery images and the actual geographical space is generated; key frames are extracted from video image flows shot by the intelligent mobile phone and are fast divided sequentially through binaryzation and mathematical morphology methods; the visual matching between the real scenery space and the information space is realized through a measure of combining the image analysis with the space relationship, and the scenic spot scenery is identified; and the identified scenery is subjected to tracking registration by a moving detection method. The scenic spot scenery moving augmented reality method overcomes the defects of poor precision and low image identification technology efficiency of a space relationship realization method.

The invention discloses a single-image super-resolution reconstruction algorithm based on an optical flow method and sparse neighbor embedding. The single-image super-resolution reconstruction algorithm comprises the following steps: firstly, training and learning offline dictionaries: learning corresponding characteristics of brightness components of high/low-resolution images in a training image set; extracting oriented gradient histograms and gradient characteristics of image blocks, carrying out gradient characteristic dimension reducing processing and dividing to obtain a plurality of clustering subsets to form trained dictionaries; at a reconstruction phase, carrying out RGB color to YCbCr space conversion on the low-resolution images; amplifying chrominance components as reconstructed chrominance components; carrying out bi-cubic interpolation amplification on the brightness components; extracting image characteristics and sequentially matching with a plurality of neighborhood image blocks; calculating an optical flow velocity vector and weighting and combining the plurality of neighborhood image blocks to obtain a final matched result; deblurring reconstructed images and carrying out back projection iteration processing to obtain brightness components of a final reconstruction result; and converting the reconstructed images from a YCbCr color space to an RGB color space. The single-image super-resolution reconstruction algorithm has the advantages that the matching of the image blocks is relatively accurate and the super-resolution reconstruction is relatively effective.

The invention relates to a self-adaptive linearity transformation enhancing method of an infrared image and is directed to the field of image enhancement technology. According to a histogram statistics of infrared image tonal values, a weight average value of all pixel tonal values av is calculated. A calculated gray scale sampling range [a, b] is combined to obtain the three points (a, 0), (av, 127) and (b, 255) in a rectangular coordinate system corresponding to the histogram. The tonal values are segmented and selected based on taking segments by the three points. A gray scale transformation is carried out towards the present image to realize enhancing the image. According to the invention, information on image scene and gray scale distribution is fully used, the gray scale distribution of a target scene is maximally used, and the disturbance from the background noise is maximally discarded. The invention not only suits for image enhancement correction of a specific object scene, but also suits for real-time self-adaptive image enhancement of same stage scenes, thereby substantially improving the usage range and enhancement effect of the linearity transformation method.

The invention discloses a preparation method of high-purity tacrolimus. The preparation method includes subjecting tacrolimus hypha leach liquor to decoloration by using a macroporous decolorizing resin, guiding a tacrolimus decolorizing solution into a macroporous adsorption resin column for adsorption and desorption, concentrating a desorption solution to obtain a tacrolimus contained crude extract, dissolving the crude extract by using a polar solvent, subjecting the crude extract to chromatographic separation by using polymer nanoparticles, and concentrating and drying crystals to obtain the high-purity tacrolimus. The preparation method of the high-purity tacrolimus is simple in process, reliable in quality, high in yield which can reach over 70%, low in solvent consumption and applicable to industrial scale production of officinal tacrolimus raw materials.

The invention relates to a method for enhancing an infrared image and belongs to the technical field of image enhancement. The method comprises the following steps of: according to a gray value of the infrared image of a certain initial frame, performing median filtering on pixels one by one, and detecting and filling bad pixels; after calculation of the whole image is finished, storing a filling result of all bad pixels into a coefficient table; and directly calling the coefficient table for filling during subsequent image processing. Therefore, operation efficiency is improved, and error judgment of effective pixels is avoided. The method has the advantages that: by fully utilizing an image scene and gray distribution information, the gray distribution of a target scene is utilized to the largest extent, the interference of a background noise is eliminated to the largest extent, the detection efficiency and filling efficiency of the bad pixels are improved, all pieces of operation can be finished during initiation of a system, and effective targets cannot be determined to be the bad pixels during using of the system, so that the using range of a median filtering method can be greatly expanded, and an enhancement effect can be improved.

The invention relates to AIE molecules-loaded liposome dispersion liquid, and a preparation method and application thereof. The liposome dispersion liquid comprises a phospholipid compound microspherein which AIE molecules are dissolved, and a solvent for dispersing the phospholipid compound microsphere, and the AIE molecules are lipid-soluble molecules having the AIE effect. The preparation method of the liposome dispersion liquid is very simple, the prepared liposome dispersion liquid has good biocompatibility and uniform dispersibility, the particle size is between 100 and 300nm, specificrecognition of tumor cells can be achieved by utilizing the EPR effect of a tumor tissue, reactive oxygen can be produced after degradation in cells and illumination by light under specific wavelengths to kill the tumor cells, and the liposome dispersion liquid can be used for tumor treatment by adopting a PDT therapy method; compared with a traditional PDT therapy method, only partial illumination is needed, and there is no need to perform in a dark room, so that a patient can move freely to some extent.

The invention discloses a handheld electronic device with a distance measurement function for measuring a distance between the handheld electronic device and a target object. The handheld electronic device with the distance measurement function comprises a main body, and further comprises a positioning system for setting a position system between the main body and the target object; a target object imaging system for obtaining a virtual image of the target object on the main body; and a data processor for converting and obtaining the distance between the handheld electronic device and the target object according to different display positions of the virtual image in the main body. The invention also discloses a distance measurement method of the handheld electronic device. The device and the method, provided by the invention, get rid of interference of manual factors, and have the advantages of accurate distance measurement result, high repeatability, and simple and convenient application and the like.

The present invention provides an unmanned aerial vehicle attitude tracking method and system based on multiple GPS receivers. The method includes the following steps that: the initialized position ofeach GPS receiver under an ENU (East-North-Up) coordinate system is determined; when the attitude of an unmanned aerial vehicle changes during the flight of the unmanned aerial vehicle, an RTK (Real-Time Kinematic) positioning method is adopted to calculate the coordinate positions of the GPS receivers under an ECEF (Earth-Centered, Earth-Fixed) coordinate system in real time; the positions of the GPS receivers under the ECEF coordinate system are converted into position information under the ENU coordinate system; and comparison and calculation are performed on the obtained position information and the initialized positions, and the angles of the rotation of the GPS receivers around each axis under the ENU coordinate system are obtained. The present invention also provides an unmanned aerial vehicle attitude tracking system. According to the unmanned aerial vehicle attitude tracking method and system based on the multiple GPS receivers of the present invention, the change quantity ofthe angles can be directly obtained through comparing the current position attitudes with the initial position attitudes, and calculation results are more accurate, and the accurate tracking of the attitude of the unmanned aerial vehicle can be achieved.

The invention discloses a method for preparing pneumocandin B0 by using a fermentation culture product of filamentous fungi glarea lozoyensis. According to the method, a filter aid is adopted; with steps such as leaching, discoloring, adsorption, crystallization, and the like, a pneumocandin B0 crude extract is obtained; and the crude extract is subjected to chromatographic separation by using polymer microspheres, such that the high-purity pneumocandin B0 product is obtained. The method provided by the invention has the advantages that: pneumocandin B0 is extracted and separated by using macroporous resin; the process is simple and feasible, and is suitable for industrialized productions; the polymer microspheres are used in chromatographic separation of the product for a first time, and high-purity pneumocandin B0 product can be prepared.

The invention discloses a vehicle-mounted self-organization network performance analysis method based on millimeter waves. The method comprises steps of establishing a vehicle-mounted self-organization network based on millimeter waves, wherein vehicle nodes in the vehicle-mounted self-organization network based on millimeter waves are distributed in a unidirectional straight road, the arrival process meets the Homogeneous poisson process, the communication link is divided into a sighting distance link and a non-sighting distance link, and the channel fading meets the index distribution, and establishing an analysis model of a millimeter wave vehicle-networking self-organization network; according to the millimeter wave vehicle-networking self-organization network, calculating the networkcoverage probability, the transmission capacity, the region frequency spectrum frequency and the reachable speed coverage probability. Compared with the prior art, by comprehensively considering the effects of vehicle node space distribution, shade effects, channel shading and same-frequency interference effect factors in a wireless communication process, and fully using characteristics of narrowwave beams of millimeter waves and high directivity, the power of signals is improved and same frequency interference is inhibited; and an actual communication scene of the vehicle-networking self-organization network can be well reflected.

The invention relates to a migration learning method based on scene template generation. The method comprises the steps of designing a scene template, constructing the scene template, training a template generation network and migrating a strategy network based on the scene template. According to the method, the unified template of different scenes is established through the concept of the scene template, the common characteristics of the different scenes are constructed, and the relationship between the different scenes is established through the common characteristics, so that the migrationof the strategy network obtained through reinforcement learning between the environments with relatively large differences is realized.

The invention discloses a crude oil electric desalting process, which overcomes the disadvantages of long retention time, large electricity consumption, and poor operation stability for crude oil in an electric field in the prior art. The process comprises: allowing crude oil to enter a device through a crude oil pump, heating to 100-160 DEG C, and then performing at least one stage of desalting process; each stage of desalting process comprises: mixing the crude oil with washing water and a demulsifier in a mixing apparatus, allowing the mixture to enter at least one tubular demulsification device for demulsification, allowing the demulsified crude oil to enter the bottom of a settling tank, performing oil-water separation in the settling tank, allowing the separated crude oil to flow out from the upper part of the settling tank or to enter the next stage of desalting process, wherein the tubular demulsification device is connected with a transformer, the electric field intensity of each tubular demulsification device is 1500-3000 V/cm, and the electric field action time is 5-30 S.

The invention provides a field programmable gate array (FPGA)-based final test (FT) method of a liquid crystal display controller (LCDC) module, which is characterized in that a VIP acquisition module is designed in an FPGA, wherein the VIP acquisition module is used for acquiring data sent by the LCDC module; according to time sequence of the LCDC module and V_BP, V_FP, V_VD, H_BP, H_FP and H_VD parameters of a screen, a count 1 and a count 2 are designed, wherein the count 1 starts counting at the frequency of DOTCLK, and the count 2 starts to count at the frequency of horizontal synchronization signal (HSYNC), the operation is repeated until the LCDC module does not send out the data, which shows the end of the sampling; and finally exporting the acquired data to a file and comparing the acquired data with a data file sent by a memorizer. By using the FPGA-based FT test method of the LCDC module of the invention, any digital circuit can be flexibly realized, interference of analog signals can be eliminated, restriction of special chips can be reduced, and the FT test of chips to be tested can be assisted.

The invention discloses an automatic focusing method based on image processing. The definition evaluation function values of every n position points are used as a section of local curve for 'fitting'in the hill climbing search process; fine search is realized by judging whether the curve contains a slope peak greater than a set threshold value or not. The method comprises the following steps: dividing a small range with a wave crest into n points again, reducing the step length, repeatedly searching, continuing to move n position points along the original direction if a slope crest which is greater than a set threshold does not exist in a local curve, and repeating the operation to find the optimal focusing position. According to the method disclosed in the solution, an improved Robert gray function is used as an image definition evaluation function; the thought of a curve fitting method is embedded into the local search of the traditional hill climbing algorithm; the method not onlyinherits the simple reliability of a traditional hill climbing algorithm, but also can effectively get rid of the interference of a pseudo-focus peak; the method prevents the problem of complexity andtime consumption caused by falling into a local peak value in the focusing search process, and can be widely applied to various imaging systems such as cameras and microscopes.

The invention relates to a method for preparing an immunosuppressant sirolimus. The method comprises the following steps: decolorizing a sirolimus mycelium extract by macro-porous decolorizing resin,introducing the obtained decolorized sirolimus solution into a macro-porous adsorption resin column, performing adsorption and desorption, concentrating the obtained desorbed solution to obtain sirolimus-containing crude extract, dissolving the crude extract in a polar solvent, performing chromatographic separation on the obtained crude extract solution by using polymer nano-spheres, and performing concentrating, crystallization and drying to obtain highly-pure sirolimus. The method for preparing highly-pure sirolimus has the advantages of simple process, reliable quality, high yield reaching70% or more, less solvent consumption, and suitableness for the industrial large-scale production of a medicinal-grade sirolimus raw material.

The invention relates to the technical field of cleaning, and particularly discloses a rotary pedestal pan suitable for an automatic cleaning system. The rotary pedestal pan comprises a mounting base;a mounting plate is rotatably and movably connected to the mounting base, and a closestool mounting position is arranged on the front side of the mounting plate; a sewage draining exit is formed in the mounting base, a sewage draining pipe is connected to the mounting plate, and one end, far away from the mounting plate, of the sewage draining pipe is aligned with the sewage draining exit and isrotatably and movably connected with the mounting base; the rotating center of the mounting plate and the rotating center of the sewage draining pipe coincide and are both in the vertical direction; the pedestal pan further comprises a driving module, and the driving module is arranged on the mounting base and drives the mounting plate and the sewage draining pipe to synchronously rotate relativeto the mounting base. According to the rotary pedestal pan, the closestool body is arranged to be in a rotary type, the mode of an existing movable automatic cleaning system is replaced with the modeof moving the closestool, the automation degree of the cleaning process is further improved, and the cleaning efficiency is improved.

The invention discloses an intelligent optical network unit configuration method and device based on voice interaction. The intelligent optical network unit configuration method based on voice interaction is applied to an intelligent optical network system. The intelligent optical network system comprises at least one voice input end and a processing terminal, the voice input end is provided witha voice pickup unit and a timer, the processing terminal comprises a voice recognition platform and a voice semantic analysis platform. The method comprises the following steps: enabling the at leastone voice input end to collect original audio data; uploading the original audio data, sending the original audio data to a voice recognition platform of a processing terminal, and performing character string data conversion of the audio data; and ending semantic reading of the character string data based on the voice semantic analysis platform, and performing semantic command line conversion andconfiguration through an SMTP protocol. Based on a voice interaction mode, a user can configure the intelligent optical network unit conveniently, so that the optical network equipment is used in a humanized mode.

The invention belongs to the field of scientific experiment instruments, and particularly relates to a horticulture therapy experiment device. The invention aims to provide an experimental device for applying short aromatic plants to horticultural therapy. The system mainly comprises an environment control module, a short plant cultivation module and a gardening intervention and sampling module. The device has multiple functions of plant cultivation, environment control, gardening intervention, sample collection and the like, in-situ experiments of plants can be achieved, the growth environment of short plants can be effectively controlled, stable release of volatile effective substances of the plants is achieved, sampling or personnel olfaction stimulation experiments can be conducted according to experiment requirements, and the experiment efficiency is improved. The device guarantees the authenticity and reliability of the experiment result, and can be widely applied to indoor balconies, working places, recuperation environments or places with limited space, such as spacecrafts and submarines.