490results about How to "Avoid monotony" patented technology

The invention relates to the technical field of micro-structural surface preparation and laser micro-processing, and in particular provides a method for preparing a micro-nano composite texturing cutting tool by using femtosecond laser. In the method, micro-nano texturing and micro / nano composite texturing preparation is performed on the cutting tool surface by utilizing the unique interaction property between femtosecond laser and materials, the operation is simple, and the accuracy can be controlled. The preparation of micro / nano composite texture can be performed on a coated cutting tool by adopting a coated surface direct texturing method or a two-step composite texturing method. The method overcomes the defect of singleness of texturing only in micron scale in the conventional cutting tool texturing technology, and can further improve the abrasion resistance of the cutting tool, and prolong the service life of the cutting tool.

The invention provides a framework system applied to the field of intelligent wear and based on an MEAN framework so as to solve the problem of interconnection of intelligent wear equipment, a mobile phone APP and a cloud server. Meanwhile, the invention provides an application framework applied to the field of child bracelet equipment and based on a tracking planned and triggered bracelet capable of preventing children from being lost so as to solve the problems that consumption of equipment batteries is increased and the tracking requirements of different scenes can not be met due to the fact that a child bracelet reports aimlessly in real time.

In accordance with the principles of the present invention an exercise device is provided that comprises an oscillating platform and a support platform. The oscillating platform is connected to the support platform by a support having a main axis and an oscillating platform axis extending at an angle from the main axis, such that the oscillating platform defines a plane that is non-parallel to a plane defined by the support platform. An oscillating platform stabilizer enables the free angular undulating movement of the oscillating platform. Inertia or momentum of the angular movement of the platform is provided, thereby providing a fluid and continuous change in the angular orientation of the platform.

The invention provides a binocular vision-based power transmission line online detection method for a patrol robot. The method comprises the steps of establishing a data sample set of a power transmission line component by utilizing an acquired original image, and then performing convolutional neural network and feature pyramid network training according to the established data sample set; and fora to-be-detected image shot by the patrol robot, performing detection by utilizing a trained power transmission line detection model; performing detection segmentation on a power transmission line, the component and the like in the image; through connected domain analysis of pixel-by-pixel segmentation, judging whether a foreign matter exists on the power transmission line or not; and obtaining adistance between the component and the foreign matter in combination with images in a left camera and a right camera. The method has high accuracy and high robustness, has high accuracy for various power transmission line components including the power transmission line, an insulator, a vibration-proof hammer and a tower, and has an extremely good detection effect for the foreign matter; and themeasured distance between the component and the foreign matter is accurate.

The invention discloses a prediction model establishing device. The prediction model establishing device comprises a storage, a processor and a prediction model establishing program which is stored onthe storage and can operate on the processor, and the program is implemented by the processor to realize the following steps: obtaining exogenous characteristics in one or more time units, before a target time unit, of a to-be-tested item as well as self-return time characteristics before the target time unit; performing pre-processing and normalization processing on the characteristics to obtaina normalized characteristic set; performing characteristic screening on the characteristics according to a preset rule to obtain prediction characteristics; taking a practical observed value of the to-be-tested item as a prediction target, and taking prediction characteristics and the prediction target as a prediction sample; obtaining a plurality of prediction samples through the step, and inputting the prediction samples into a prediction regression model for training to generate the prediction model. The invention further discloses a prediction model establishing method and a computer readable storage medium. The prediction accuracy rate of the prediction module is increased.

The invention discloses a target tracking method based on multi-feature self-adaption fusion and on-line study. Target features are extracted and used as template features; three types of features are extracted from each of novel candidate target regions; a self-adaption fusion process is carried out according to distinctiveness and correlation of all the features; Bhattacharyya distances between the features obtained after fusion and the template features are calculated; the Bhattacharyya distances are subjected to uniformization and then used as weights of the novel candidate target regions; the novel candidate target region with the maximum weight, and a target region are subjected to an overlap judgment, if the overlap rate is less than an overlap rate threshold value, a multiple-time region of the novel candidate target region with the maximum weight is input to a detector, and when a recognizer outputs 'yes', the fact that target tracking succeeds is shown, and the recognizer, the template features and the target region are updated; if the recognizer outputs 'no', the fact that a novel target is found is shown; and if the overlap rate is greater than or equal to the overlap rate threshold value, the recognizer, the template features and the target region are updated. Through the target tracking method based on the multi-feature self-adaption fusion and the on-line study, the adaption ability of the target tracking under different scenarios and certain deformation conditions is enhanced, and the problem that tracking drifting is prone to occurrence after occlusion is avoided.

The method includes steps: after receiving playing command from user, client end of network direct broadcast (CENDB) begins to obtain data of flow media corresponding channel watched by user currently, and queries network address and type corresponding to channel watched by user currently from server; the method triggers playing content of advertisement packet corresponding to the network address; when obtaining data of flow media reaches to prearranged quantity, CENDB stops playing content of advertisement packet, and stats playing back obtained data of flow media. The system includes CENDB and advertisement server. Preventing monotony and baldness brought by no frame available to play back at CENDB in buffering procedure, the invention makes the most of buffering time, provides profit of advertisement, and creates commercial value.

The present invention relates to a diabetic retinopathy sign detection method and device. The method comprises: receiving a fundus image to be detected; using a convolutional neural network (CNN) model to perform processing of the fundus image to be detected, and obtaining lesion area samples corresponding to the fundus image to be detected; according to the lesion area samples, constructing SIFT (Scale-Invariant Feature Transform) feature descriptors corresponding to the fundus image to be detected; and according to the SIFT feature descriptors, using an SVM (Support Vector Machine) classifier to determine the lesion type of the fundus image to be detected. The CNN model is employed to perform rough classification of the diabetic retinopathy to five out a lesion area, the SVM classifier is employed to perform fine classification of the lesion type of the lesion area to reduce interference generated by difference between the data size and the data when the neural network is directly configured to perform lesion classification and improve the classification precision.

The method comprises: after the client side of network direct broadcast gets the play instruction, it gets the stream media data corresponding to the currently-watched channel of user from network, searches the advertisement content corresponding to the user's currently-watched channel saved in local, and triggers the playing; when the stream media amount obtained by client side of network direct broadcast reaches a preset amount, stopping the playing of said advertisement content, and starting to play the obtained stream media data. Said system comprises: advertisement server and network direct broadcast client side.

The invention provides a generalized predicative control method of a high-speed train based on an adaptive network-based fuzzy inference system (ANFIS) model. The method utilizes a data-driven modeling method to build the ANFIS model in a running process of the high-speed train according to acquired high-speed train running data; adopts subtractive clustering to determine rule number and initial parameters of a fuzzy model, and adopts a back-propagation algorithm and a least square method to optimize parameters of the fuzzy model. The predictive tracking control method of electric multiple unit running speed on the basis of the ANFIS model obtains accurate controlled quantity through multistep predication and circular rolling so as to change blindness of adjustment by experience, enables the high-speed train running speed to track a target curve accurately, solves the problem of large lag, achieves on-schedule, safe and effective running of the train, and guarantees safety of passengers. The method is simple, practical, capable of achieving automatic drive control of the high-speed train and suitable for on-line monitoring and automatic control of a running process of the high-speed train.

The invention discloses a method for setting decisional threshold value, which comprises determining decisional threshold value according to the maximum result of balanced difference of the false alarm probability and the detection probability of a node itself, receiving sampling data, calculating decisional quantity according to the sampling data, comparing the decisional threshold value with the decisional quantity, and judging whether current frequency band is occupied or not according to the comparing result. The invention further discloses a device for setting decisional threshold value. Through employing the technical scheme of the invention, the decisional threshold value can be reasonably set based on two factors of the detection probability and the false alarm probability during the process of energy detecting, which enhances detecting efficiency of the current frequency band, guarantees availability ratio of the frequency band, and finds an optimal solution between the detecting efficiency and the availability ratio.

The invention discloses an advertisement putting method and device. The advertisement putting method comprises the steps that: after an advertisement putting request is received, sources of advertisement materials are determined through a flow funnel strategy; when the sources of the advertisement materials are bidding advertisements, advertisement feature information of each bidding advertisementis obtained; according to the advertisement feature information of each bidding advertisement and the user feature information indicated by the advertisement putting request, the click rate prediction value of each bidding advertisement is calculated; according to the click rate prediction value of each bidding advertisement and the display resource corresponding to each bidding advertisement, the display probability of each bidding advertisement is calculated; according to the display probability of each bidding advertisement, a target advertisement is selected from the bidding advertisements through a random number table method and is put. According to the technical scheme of the invention, the advertisement resource waste which may be caused by the fact that advertisements which usersare not interested in are put is avoided, the types of the advertisements are enriched, and the singleness of the advertisements is avoided.

The invention discloses a single component HJT battery low temperature silver paste comprising the following components by weight: 50-90 parts of first conductive powder, 5-40 parts of second conductive powder, 1-2 parts of thermosetting resin, 0-5 parts of curing agent and 0-5 parts of auxiliary agent. The first conductive powder is flake silver powder, and the second conductive powder is at least one of nano conductive powder, low melting point conductive metal powder, low melting point conductive alloy powder, high melting point conductive metal powder and high melting point conductive alloy powder. The HJT battery low temperature silver paste has low resistivity after cured, good adhesion of conductive particles, good over-net performance, excellent aspect ratio, photolysis resistance,aging resistance and lower cost.

The invention discloses a method and a system for establishing a product process quality prediction model. The method comprises the following steps of: acquiring site data of cigarette equipment and storing the acquired data to a database; processing the site data of the cigarette equipment, wherein the site data of the cigarette equipment include shutdown data, deletion data, yield data and product quality data of a cigarette making machine; establishing a product process quality neural network prediction model; establishing an equipment fault tree; inputting real-time data of the cigarette equipment to the product process quality neural network prediction model to obtain prediction product quality data, and controlling the cigarette equipment in combination with the equipment fault tree. According to the method and the system for establishing the product process quality prediction model based on the site data, the singleness of a data statistical analysis method can be avoided; the data of the cigarette equipment are effectively combined, a data comprehensive analysis model is established, the product quality in the next period of time is predicted, defective products are prevented from being produced, the product quality-oriented equipment management is guided.

The invention discloses a network storage resource application system and a network storage resource application method, and belongs to the field of network storage resources. The system comprises a source receiving module, a storage source integration module, a shared resource creation module and a shared service starting module, wherein the source receiving module is used for acquiring a network hard disk mapped in a whole local area network according to a user instruction; the storage source integration module is used for integrating the acquired network hard disk and a local disk into a storage pool according to the user instruction; the shared resource creation module is used for dividing the storage pool into a network attached storage (NAS) subarea and a storage area network (SAN) subarea according to the user instruction; and the shared service starting module is used for starting the NAS subarea to provide file transfer protocol (FTP) service, server message block (SMB) service and network file system (NFS) service for a user and starting the SAN subarea to provide internet protocol (IP)-SAN service and fiber channel (FC)-SAN service. The embodiment of the invention provides storage resources and corresponding service for most users, so that the users can conveniently, concentratedly and flexibly use the storage resources.

The invention relates to a dynamic dragging and constructing module system with a 3D virtual element for an on-line exhibition, which comprises a network server, a client side computer and an Internet, wherein the network server is provided with a fire wall and is respectively connected with an organizer client side, an exhibiter client side and an audience client side by the Internet, and a virtual system of the on-line exhibition is constructed. The dynamic dragging and constructing module system is characterized in that the 3D virtual element which can be dynamically dragged and constructedfor the exhibition is stored in the network server and is a set of 3D virtual models which are manufactured based on the WEB3D of an X3D standard, the models are decomposed into different X3D subprogram bodies by aiming at the type of a virtual object to form a module icon library, icons are utilized to drag the 3D models so as to quickly construct a tableaux, and an individuation 3D virtual space is automatically generated. The invention solves the problems of singleness, independency, lower efficiency and the like of the prior method for constructing the on-line exhibition, reproduces the advantages of fullness, visualization and spatial impression of an entity exhibition vividly and forms man-machine interaction, man-network interaction and virtual-real interaction effectively.

The invention relates to a monoclonal antibody and an antibody composition for neutralizing canine distemper virus (CDV), belonging to the technical field of biology. The monoclonal antibody 2G3 disclosed by the invention has high activity for neutralizing CDV and is used for identifying epitopes differently acting on CDV with a monoclonal antibody for neutralizing CDV prepared from another screened hybridoma cell 1D7 strain. Two monoclonal antibodies are prepared into the antibody composition, the neutralizing capability on CDV of which is obviously prior to the single monoclonal antibodies 2G3 and 1D7 in the composition; after being combined, the two monoclonal antibodies can generate antiviral synergistic enhancement action; and both the range and the capability for neutralizing CDV are increased. The monoclonal antibody disclosed by the invention is used for preparing the antibody composition for treating clinical canine distemper paroxysm animal; the virus neutralizing capability is stronger; failure of the monoclonal antibody caused by CDV heteromorphosis can be avoided; and the clinical application range is wider.

The embodiment of the invention provides a method and a device for segmentation on the basis of webpage content classification. The method comprises the following steps of: extracting the text information of webpage contents in search resources; dividing the classes of the text information according to the classes of the webpage contents; segmenting the text information according to segmentation dictionaries corresponding to the classes of the text information. According to the embodiment of the invention, the classes of the text information of the webpage contents in the search resources are divided, and the text information is segmented on the basis of the segmentation dictionaries corresponding to the classes, so as to adapt to different classes of language characteristics better, meanwhile, the segmentation accuracy for different classes is also improved, and the optimal processing for local segmentation is realized; moreover, the improvement of the accuracy of segmentation is close to the intention of a user and improve the user experience, and then reduce the operations of re-input, search and the like of the user, and improve the simplicity of operation, meanwhile, the response of equipment on the operation of the user is reduced, and the consumption of the system resources of the equipment is reduced.

The invention discloses a foggy weather image enhancement method based on fractional differential and dark channel prior. The method herein includes the following steps: 1. inputting a foggy weather image I, conducting dark channel prior and Retinex algorithm processing on the I, obtaining an initial de-foggy image J (x,y); 2. segmenting the J (x,y) to a foreground image J1(x,y) and a background J2(x,y); 3. separately computing the optimal fractional differential order number v1 corresponding to J1(x,y) and the optimal fractional differential order value v2 corresponding to J2(x,y); 4. determining a mask coefficient and a mask size, constructing a fractional differential operator mask w (s,t); 5. separately introducing the fractional differential order number v1 and fractional differential order value v2 which are obtained from 3 to the w (s,t), obtaining w1(s,t) and w2(s,t), conducting convolution operation on the pixel points of w1(s,t) and J1(x,y), and conducting convolution operation on the pixel points of w2(s,t) and J2(x,y); and 6. outputting the image of I which after the image enhancement. According to the invention, the method herein addresses poor de-foggy effects which are often caused in the process of enhancing foggy images by using fractional differential algorithm which has single fractional differential order in the prior art.

The invention provides a coating composition for solar cell backboards and the solar cell backboards which are coated by the coating composition. The coating composition comprises the following components: a graphene-like filler, resin, titanium dioxide, a solvent, a curing agent, and an auxiliary agent. A preparation method of the solar cell backboards which are coated by the coating composition comprises the following steps: a graphene-like filler and PET (polyethylene terephthalate) slices are uniformly mixed, and then mixing, extruding, rotation-drum sizing and biaxial stretching are successively performed, so that the solar cell backboards are obtained; surfaces of the solar cell backboards are treated to produce low-temperature plasma, and the coating composition coats the surfaces of the solar cell backboards; and drying solidification is performed, so that the solar cell backboards which are coated by the coating composition are obtained. According to the invention, by using graphene as an additive of the coating composition of the solar cell backboards, the solar cell backboards which are coated by the coating composition have the advantages of good mechanical performance, good ultraviolet resistance (aging resistance and weather resistance are enhanced), good heat conductivity (rapid heat dissipation, high-temperature resistance, high safety, improved cell efficiency and service life and the like) and the like, and an extensive application in all kinds of environmental climates.

Embodiments of the invention disclose an information push method and device, a server and a readable storage medium, and relates to the technical field of information. The method comprises the following steps of acquiring a push request sent by a client, wherein the push request comprises an account number which logs in to the client currently; acquiring a first push content according to a pre-stored advertisement push resource list; acquiring a second push content according to a pre-stored personal push resource list corresponding to the account number; and sending the first push content andthe second push content to the client, indicating the client to display a display content corresponding to the first push content at a first preset position of a preset interface, and indicating the client to display a display content corresponding to the second push content at a second preset position of the preset interface. The displayed push content is partly from an advertisement and partly from the personal push resource list, so that the content in the advertisement list is no longer singly pushed, and thus the singleness of the push content is avoided, and the user experience is improved.

The invention discloses an automatic surge testing method for a turbine compressor. The automatic surge testing method includes the steps: determining anticipated surge testing points; inputting the testing points; setting the turbine compressor; acquiring testing parameters; judging a surge condition; smoothly approximating and quickly breaking away from the surge condition; storing surge parameters; judging whether to continue surge testing or not, repeating the steps until all the anticipated surge testing points are tested if continuing surge testing, and ending the testing if not; generating a surge curve; and generating an anti-surge curve. The frequency of testing acquisition of condition parameters of the turbine compressor by a parameter acquirer is 300-500 milliseconds per time. The margin coefficient of the anti-surge curve ranges from 5% to 10%. The automatic surge testing method effectively avoids the problem that manual test of the surge curve of the turbine compressor easily causes big errors, reduces human input of surge testing of the turbine compressor, avoids violent change of the operation condition of the turbine compressor caused by emergency operation measures, and guarantees instant surge testing of the turbine compressor.

The present invention discloses a Shenqi hypoglycemic preparation HPLC standard finger print and a construction method thereof. The construction method comprises the following steps: preparing test sample solutions and a reference solution, measuring the test sample solutions and the reference solution by using the HPLC method and the linear gradient elution process, so as to obtain the Shenqi hypoglycemic preparation finger prints, wherein the chromatographic condition is that a mobile phase A is acetonitrile, a mobile phase B is 0.1% (v / v) phosphoric acid solution, the detection wavelength is 203nm, the column temperature is 25-35 DEG C and the flow rate is 0.8-1.2mL / min. The common characteristic peaks of at least ten finger prints are used as the characteristic peaks of the standard finger print; the standard finger print comprises 38 characteristic peaks, and the numbers of the characteristic peaks of saponin of ginseng stem and leaf, astragalus, Chinese magnoliaving, rehmannia root and raspberry are 13, 4, 7, 3 and 4 respectively. The Shenqi hypoglycemic preparation HPLC standard finger print and the construction method thereof can comprehensively and accurately evaluate the whole quality of the Shenqi hypoglycemic preparation, and facilitate to ensure the quality and the clinical curative effect of the Shenqi hypoglycemic preparation.

The invention discloses a construction method for a fabricated type corrugated steel inclined web combined beam. The method includes the steps that corrugated steel inclined web boundary beams and corrugated steel straight web middle beams are prefabricated on a prefabrication field; bridge abutment or piers are completed on the construction field, temporary supports are set up, the prefabricated beams are transported to the construction field, and the prefabricated corrugated steel inclined web boundary beams are hoisted to specific positions in a segmented mode; transverse connecting reinforcing steel bars of top plates and bottom plates in every two adjacent prefabricated beams are bound and welded; pouring is conducted on longitudinal wet joints and boundary beam top plate wing edge plates between every two adjacent beams again, the corrugated steel webs in the prefabricated beams are connected through bolt connection or welding, the longitudinal reinforcing steel bars are bound and welded, pouring is conducted on transverse wet joints and beams, and one-span simply supported beams or multi-span continuous beam systems are formed; the supports and formworks are detached when certain strength of concrete is reached, system conversion is completed, and construction ends. According to the construction method, clearance on the two sides of the bottom of a box girder can be effectively increased, and the construction method can meet the requirements of urban overpasses for underground and ground transportation.

The invention discloses a method and a device for generating a role action. The method comprises steps: the key frame attitude information of the role action is acquired, wherein the key frame attitude information is used for describing skeleton features of the role action; and according to a preset algorithm, the key frame attitude information generates a skeleton animation file, wherein the skeleton animation file is used for executing a preset action of a game role. The problem that the role action in the game is fixed and unchanged, and thus, requirements on an individual role image by a player can not be met is solved; through generating the new skeleton animation file from the acquired key frame attitude information of the role action, single boring of the game role can be effectively avoided, a distinctive role image is created according to the preference of the user, a role image which is liked by the user is further designed, the interests of the game are thus improved, and the user experience is enhanced.

The invention relates to an automatic speech and multimedia information communication middleware system. A server of the system comprises a hardware architecture and a software architecture. The server and each operation system of a client side conduct data interaction through an interface protocol to form a loose coupling system architecture. Modules in all layers of in the software architecture allow dynamic loading and unloading, and high aggregation calculation is achieved in the layers through a height packaging tight coupling mode. The middleware system uses a telecom computer automation treatment mode to replace an old manual mode, solves oneness of working forms of inland medium-sized and small enterprises in aspects of external notification, customer information search and notification scheduling at present, and improves low-efficiency manual flow at present, and avoids high stoppage under a manual handling environment.

The invention relates to a chemical absorbent, in particular to a chemical absorbent for deodorization. In order to overcome the technical problem, the invention proposes the technical scheme that the chemical absorbent consists of the following components in parts by weight: 10-20% of strong base, 5-7% of oxidant,0.2-0.5% of active agent, 0.05-2% of corrosion inhibitor, 0.05-2% of pour point depressant, 0.05-8% of desulfurizer, 0.05-4% of catalyst and 60-80% of water. The chemical absorbent has the advantages of overcoming the low removal rate of pure alkaline liquor to hydrogen sulfide in the prior art, improving the absorptivity of sulfur compounds in waste gas and removing organic sulfur, such as sulfur alcohol, sulfur ether, dimethyl disulfide, and the like. The waste residue of sodium sulfide which is generated after treatment is relatively stable and is easy to decompose, thereby avoiding secondary pollution. The chemical absorbent has longer use time than the traditional absorbent and high reaction speed in removing the sulfur compounds.