7361results about How to "Universal" patented technology

The invention discloses a joint optimization method for task unloading and resource allocation in a mobile edge computing network, which comprises the following steps of 1, establishing an OFDMA (Orthogonal Frequency Division Multiple Access)-based multi-MEC (Mobile Edge Computing) base station and a multi-user scene model, wherein the MEC base station supports the multi-user access; 2, introducing an unloading decision mechanism; Meanwhile, constructing a local calculation model and a remote calculation model, selecting a user needing to perform calculation unloading, and establishing a calculation task unloading and resource allocation scheme based on minimum energy consumption under the condition of meeting the time delay constraint according to the conditions; 3, carrying out variablefusion on three mutually constrained optimization variables, namely an unloading decision variable, a wireless resource distribution variable and a computing resource distribution variable, so as to simplify the problem; and 4, obtaining an unloading decision and a resource allocation result which enable the total energy consumption of the user in the MEC system to be minimum through a branch andbound algorithm. The method has the advantage that the energy consumption of the system can be effectively reduced on the premise that strict time delay limitation is guaranteed.

The invention provides a simple universal nanometer functionalization surface modification method based on o-dihydroxybenzene derivatives. The method comprises that: dopamine is used to perform surface decoration on a basis material for one or more times, then the basis material subjected to surface decoration is subjected to nanometer functionalization decoration for one or more times; and nanometer functional materials such as various organic or inorganic nanometer particles, nanometer wires, nanometer sols, nanometer tubes and the like are fixedly disposed on the surface of the basis material, so that the material surface is improved in hydrophilicity, hydrophobicity, roughness and anti-pollution capability, or the material is enhanced in biocompatibility and performances such as antibiosis, catalysis and the like, or the material is endowed with new conductive, optical, thermodynamical performances and the like and enhanced in mechanical strength.

The invention discloses a method of decomposing hydrogen sulfide for preparation of hydrogen and elemental sulfur, which belongs to the technical field of hydrogen production and gas purification. The invention is characterized in that: hydrogen sulfide or gas containing hydrogen sulfide is subjected to ionization through blockage of discharge by using a medium so as to form uniformly distributednon-equilibrium plasma, and hydrogen sulfide spontaneously decomposes into hydrogen and elemental sulfur in the plasma; when there is a photocatalyst in the plasma, energy in the photons of the photocatalyst can be utilized to promote decomposition of hydrogen sulfide, and complete conversion can be realized under proper conditions. All the frequently used solid photocatalysts can be used in the above mentioned process, e.g., titanium oxide, cerium oxide, zirconia, zinc oxide, cadmium oxide, copper oxide, molybdena, tungsten oxide, zinc sulfide, cadmium sulfide, copper sulfide, molybdenum sulfide, tungsten sulfide and a mixture composed of two or more selected from the above-mentioned photocatalysts; the photocatalysts can also be loaded on a porous material to prepare load type catalysts. The method provided in the invention is especially applicable to treatment of gas containing hydrogen sulfide in the industries of natural gas, petroleum and coal chemistry and is also applicable topreparation of hydrogen and elemental sulfur through dissociation of gas containing hydrogen sulfide in the fields of metallurgy, sea and the like. The method has no special requirements for or restriction on the source and composition of gas; thus, the method has universality to preparation of hydrogen through decomposition of hydrogen sulfide.

The invention discloses a method, a device and a system for adjusting driving modes and a vehicle. The method includes receiving a voice instruction; querying feature databases; determining parameter information of the driving modes on the basis of to-be-confirmed voiceprint features; acquiring the voice instruction and acquiring the parameter information of the driving modes in driving procedures. The method, the device, the system and the vehicle have the advantages that the vehicle can be adjusted to be in the most familiar and habitual driving modes by the aid of the single voice instruction, and accordingly users can be positioned in habitual driving environments without manually adjusting the parameter information of the driving modes; the parameter information of the driving modes of the users can be automatically acquired in the vehicle driving procedures of the users without being manually set by the users, the tedious properties of user operation can be prevented, specific physical buttons can be omitted, and influence on the aesthetics of internal environments of the vehicle can be prevented; the quantity of the parameter information of the driving modes of the users is unlimited for the same vehicle, and the personalized driving modes of the various users can be implemented.

The system comprises: a function calling module for calling API function of operation system; an initiation module for taking over the key API function; a feature extracting module for generating the corresponding feature code according to the key API function and adding said feature code into the checking feature information table; a memory module for saving the checking feature information table; a call monitoring module for looking up the feature code corresponding to the current key API function in the checking feature information table before executing the calling operation of key API function; if finding the corresponding feature code, the function calling module calls the current API function. The invention also reveals a method thereof.

The invention belongs to the technical field of preparing the surface of a composite structure, and in particular relates to a method for preparing super-hydrophobic antireflective silicon surface with a micron and nanometer composite structure. The method comprises the following steps: cleaning a silicon chip; preparing a micron-level silicon island and a gridding structure on the surface of the silicon chip; carrying out catalytic etching taking silver or aurum nanoparticles as blockage; obtaining the surface of the micron and nanometer composite structure; and carrying out chemical modification of the surface of the composite structure. A static contact angle between the super-hydrophobic antireflective material surface prepared by the method and water is more than 150 degrees, and a static rolling angle of water is less than 3 degrees. The surface has superior antireflective performance, and in particular, the light reflectivity within the wavelength range between 800 and 1,100 nm is less than 3 percent. With application of the method, the super-hydrophobic antireflective silicon surface of the micron and nanometer composite structure can be produced on scale, can be widely applied to a solar cell, a microfluidic chip, a photoelectric device, and the like, and has good industrial application prospect.

The invention relates to an aluminum alloy anodizing line treatment process. The aluminum alloy anodizing line treatment process comprises a functional trough system and water washing trough systems arranged between functional troughs. The functional trough system is arranged along the flow direction of washing water in a manner that an upstream functional trough is compatible with a downstream functional trough, and the water washing trough systems are arranged in an overall phase-reversing in-series-connection manner. According to the aluminum alloy anodizing line treatment process, a mode in which a flowing water washing tank is separately configured for each functional trough in the traditional anodizing line is changed. Since all water washing troughs are connected in series in a phase-reversing manner, the number of the water inlets and outlets is greatly reduced and the water consumption is decreased from 25.0-35.0 tons per ton material to 5.0-6.0 tons per ton material and the water is saved by more than 80%. The treatment process disclosed by the invention has the advantages of low production cost, high efficiency and environmental friendliness and is suitable for industrial application.

The invention relates to the field of wireless communication, and in particular relates to a method and device for detecting a system frame number of a long-term evolution (LTE) system. The method comprises the following steps of: equally dividing a scrambling sequence C of a TTI (transmission time interval) into four sections by using the self-decoding characteristic of PBCH (physical broadcast channel) data of a wireless frame, respectively descrambling with the PBCH data generated in the first step, after matching a descrambling rate, selecting whether to adopt a merge algorithm or not according to a condition, and then carrying out channel decoding and CRC (cyclic redundancy check), judging whether to continuously receive the data of a next wireless frame or not according to a CRC result, and determining the system frame number according to the adopted scrambling sequence. The device comprises a receiving module (10), a signal processing module (20) and an adjudicating module (30). The invention can improve the efficiency of a terminal in the blind check of the PBCH, decreases power consumption, and determines the system frame number as quickly as possible, so as to be convenient to the read of a subsequent system message.

The invention relates to the field of point cloud processing, and specifically discloses a three-dimensional point cloud road boundary automatic extraction method. The method comprises the steps of S1, screening seed points for the whole acquired three-dimensional point cloud data set P so as to perform super voxel classification; S2, extracting boundary points between adjacent non-coplanar super voxels by using an alpha-shape algorithm; S3, extracting road boundary points by using a graph cut based energy minimization algorithm; S4, removing outliers based on an Euclidean distance clustering algorithm; and S5, fitting the extracted road boundary points into a smooth curve. The method can directly operate on the large-scale three-dimensional point cloud, can be applied to different scenes, is high in calculation speed and good in algorithm robustness, and can extract road boundaries quickly.

The invention relates to a method for accurately fixing the radiation output amount in radiotheraphy, which comprises that setting coordinate on patient, to obtain the information of ill part; setting the radiation coordinate at the injection direction of accelerator, building the projection between the human coordinate and the injection coordination; calculating out the agent distribution generated in the injection grid matrix of injection coordinate; building the formula of output MU; building the body model, processing radiation analogue calculation on the body model, radiating with machine, detecting the radiation amount via the detector in the body model, checking the error between the analogue calculated agent and the detected agent, to reach the demand. The invention builds accurate algorism (A) to be used in variable radiation systems with high accuracy.

An on-orbit geometric calibration method of an optical remote sensing camera aims at a domestic satellite platform and load design characteristics to build a strict imaging model, and uses an internal and external orientation element combination modeling method for geometric calibration treatment. The method is based on the strict imaging model for the geometric calibration treatment, and model parameters have clear physical meanings; 2) simultaneous decoupling of internal and external orientation elements can be realized by internal and external orientation element combination modeling; 3) the model can be used for a multiple linear array camera and multi-camera combination calibration, and has a strong universality; 4) according to the method, various factors causing image distortion in an imaging process can be fully considered, and high precision can be achieved.

The invention discloses a preparation method of a water-soluble material in a core-shell or core-corona-shell structure, which comprises the following steps: (1) using a water-soluble material or a water-soluble material modified by a modifying material as a core material; (2) carrying out physical reaction or chemical reaction on the core material and a chemical reagent A to obtain a core material modified by the chemical reagent A; (3) reacting the core material modified by the chemical reagent A in the step (2) with a metal-cation-containing water solution or reaction reagent B to obtain awater-soluble material in a core-shell structure; and (4) repeating the step (2) and the step (3) by using the material in a core-shell structure in the step (3) as a core material to obtain the water-soluble material in a core-corona-shell structure. The method has the advantages of simple technique and high core-shell yield, and is applicable to the fields of bioanalysis, medical diagnosis and imaging, environmental science, analytic science and the like.

The utility model discloses a robot navigation system and a navigation method. The robot navigation system comprises a navigation network which is formed by a plurality of wireless access points, a wireless communication module which is used for transferring data and collecting the intensity sequence communicated with the wireless access points, a sensor which is used for checking that the robot meets barriers or not, and a position server which is used for storing the referenced intensity sequence and running the intricate position arithmetic, and is characterized in that the position server is connected with the wireless communication module and interacts with the navigation network. The navigation method is characterized in that the robot judges the next target position until reaches the destination by comparing the intensity sequence collected in real time with stored reference intensity sequence of the position points; when the robot meets barriers, the robot records and demarcates the intensity sequence of the position in order to avoid entering the position again, therefore achieving intellectual learning; the robot can upload the correlative information to the position server and achieve the assistant navigation position by the help of the database of the position server and the position arithmetic. The utility model is not likely to be affected by the environment and also has the advantages of low cost of maintenance.

The invention provides a data syncretizing method for urban traffic circulation indexes, comprising the steps of: (1) data syncretizing for a crossing circulation index presented by an average delayed weighting expected value of vehicles from the various directions, (2) data syncretizing for a trunk line multi-crossing circulation index presented by an average travelling time delay for vehicles passing by the crossings of the trunk line, and (3) data syncretizing for a road network multi-crossing circulation index presented by an average travelling time delayed weighting expected value in each trunk line in the road network. The method of the invention realizes the optimizing control for traffic by acquiring traffic parameters to perform data syncretizing for urban traffic circulation indexes based on a traffic state acquiring technique of urban traffic. The invention has universality, comprehensiveness and flexibility.

The invention provides a preparation method of a superhydrophobic coating. The preparation method comprises the steps of 1, mixing 50-80 parts of hydrophobic nanoparticle dispersing liquid with the mass percentage of 2-15%, 20-50 parts of polystyrene nanoparticle dispersing liquid with the mass percentage of 1-10% and 0-30 parts of solvent according to the volume part ratio, and ultrasonically dispersing the mixture to obtain a mixed solution; 2, forming the mixed solution on the surface of a substrate and in a microstructure in the substrate; 3, drying the substrate obtained in the step 2, then, raising the temperature to 160-230 DEG C, baking to melt polystyrene nanoparticles, and taking out for naturally airing. The invention also relates to a superhydrophobic paint and the superhydrophobic coating.

The invention relates to the field of unmanned aerial vehicle algorithm calculating, in particular to a multi-unmanned aerial vehicle traversal search algorithm based on sub-region division. According to the designed multi-unmanned aerial vehicle traversal search algorithm based on sub-region division, a specific region division mode and a multi-unmanned aerial vehicle route planning and task allocating mode are given, and a practical and feasible scheme is provided for unmanned aerial vehicle traversal searching. It is verified that the algorithm is valid through a specific algorithm generating living example, no special demand is needed for the shape of a searching region, and the algorithm is suitable for multiple irregular regions and has the universality. Compared with other division algorithms, the region division algorithm has the advantages that achievement is easy, repeated searching of unmanned aerial vehicles can be effectively avoided, the consumed time of the unmanned aerial vehicles during sub-region connection is shortened, and a larger region can be searched for under the condition of the same property and number of the unmanned aerial vehicles.

The invention discloses an SAR image classification method based on a hierarchical sparse filtering convolutional neural network. The SAR image classification method comprises the steps of 1. dividing an SAR database sample set to a training data set and a testing sample set; 2. studying a first-layer sparse dictionary from the training data set; 3. extracting a first-layer sparse characteristic chart by means of the first-layer sparse dictionary and performing nonlinear transformation, studying a second-layer sparse dictionary from the first-layer sparse characteristic chart; 4. extracting a second-layer sparse characteristic chart by means of the second-layer sparse dictionary and performing nonlinear transformation; 5. cascading the first-layer nonlinear transformation characteristic and the second-layer nonlinear transformation characteristic and training an SVM classifier; and 6. extracting the sparse characteristic of a testing set by means of the first-layer sparse dictionary and the second-layer sparse dictionary, and performing classification by means of the SVM classifier. The SAR image classification method settles the problems of high complexity, low universality, low noise resistance and low classification precision in prior art. Furthermore the SAR image classification method can be used for target recognition.

The invention discloses an index screening and processing method for evaluating quality of tobacco leaves. The method is characterized by comprising the following steps: determining 21 tobacco leaf quality indexes, screening the quality evaluation indexes by utilizing a main component analysis and relevant analysis way, grading the quality evaluation indexes by utilizing probability distribution, determining quality evaluation index weight by utilizing a layering analysis way, establishing a tobacco leaf quality judgment function by utilizing a K-average value clustering and multi-category gradual judgment analysis way, and detecting the accuracy of the judgment function. The tobacco leaf quality index which can accurately analyze and evaluate the tobacco leaf quality can be more systematically and comprehensively screened from the tobacco leaf quality indexes of multiple base units.

The invention discloses a central air-conditioning modeling and controlling strategy on the basis of demand response, which comprises the following steps of building a room model, namely the relation between the indoor temperature and outdoor temperature of the room and sensible heat cooling load; building a center air-conditioning model suitable for the system operation of the demand response, namely the relation between air conditioning load and a decision variable; determining a controlling strategy, namely making an objective function, a control variable, a constraint condition and the like clear; solving the objective function by adopting a harmony search algorithm combining with a state space truncation method; obtaining a result, and performing analysis and treatment on the result. According to the central air-conditioning modeling and controlling strategy on the basis of the demand response, through meticulously building the models, making the strategy of multiple control variables cooperative optimization clear, scientific theoretical support is provided for the central air-conditioning to participate in the system operation of the demand response.

The invention discloses an intersection signal timing control optimization method and device, and relates to the technical field of computers. A specific embodiment of the method comprises the steps of acquiring a state-action-reward sample set, wherein the state-action-reward sample set comprises state-action-reward sub-sample sets of at least one intersection; based on a neural network and the state-action-reward sample set, performing training to obtain a traffic state simulator; and on the basis of enhanced learning, the state-action-reward sample set and the traffic state simulator, performing training to obtain a signal timing control model. According to the method and the device, the traffic state simulator can be obtained by training based on a neural network model and the state-action-reward sample set, and the signal timing control model is obtained by training based on the traffic simulator and the enhanced learning. The problem that simulated data does not conform to actualtraffic conditions and is inaccurate due to collection or assumption of multiple traffic parameters in the prior art is solved, and the universality and flexibility are improved.

The invention discloses pervious concrete of recycled aggregate and a preparation method thereof, and belongs to the technical field of pervious concrete of recycled aggregate. The pervious concrete of the recycled aggregate comprises the following components by mass percent: 71.77-73.16% of coarse aggregate, 18.88-19.04% of cement, 6.58-8.14% of water and 1.21-1.22% of silica fume, wherein the recycled aggregate and the natural aggregate accord with the stone utilization standard II, the mixing amount of the recycled aggregate can be customized according to the actual performance index, the cement is 42.5-level ordinary portland cement, and the mixing amount of the silica fume is 6% of the dosage of a binding material. The preparation method comprises the following steps: agitating, vibrating, molding and floating. The mix proportion is designed by adopting a volume process, and the concrete is prepared according to the scheduled preparation process. By adopting the pervious concrete of the recycled aggregate, on the one hand, the problem of recycling of the waste concrete can be solved, on the other hand, underground water can be effectively supplied, collected and purified, and water resources are repeatedly utilized, so as to relieve the 'heat island effect'.