9349results about How to "Improve use value" patented technology

The invention discloses a self-certified digital identity management system and method based on a smart contract. An identity terminal sends a public key and associated digital information to a cloudserver via the Internet, and accomplishes registration and login of digital identity, and the authorization, operation and verification of digital information depending on the smart contract on a block chain and a distributed database under the block chain. A unique identity of the whole network can be provided, passwordless login is achieved by scanning a two-dimensional code, the login mode of the traditional username and password is broken through, and a user entirety can securely and effectively manage the digital identity and the associated digital information, on-demand authorization, operation and verification of information are achieved, thus realizing a decentralized, self-certified digital identity management system.

The invention discloses a method for recovering rare earth elements from neodymium-iron-boron wastes, which comprises the steps of: mixing the neodymium-iron-boron wastes with water and then grinding; oxidizing the ground neodymium-iron-boron wastes; carrying out the secondary grinding for oxidation products; leaching by adding acid; separating solid from liquid; extracting to remove iron; chloridizing rare earth; separating the rare earth by extraction; extracting to remove aluminum; sedimenting; and firing. The method applied to recovery of the rare earth has the beneficial effects that the rare earth recovery rate is increased by 5-8%; the use value of the recovered rare earth is improved so that the production cost of further processing is reduced; the problem of puree fused salt in the electrolysis of single rare earth is solved, and the electrolytic efficiency of the rare earth metal during electrolysis is improved and energy consumption is effectively reduced; and the contents of non rare earth metals, such as C, S, O and the like are reduced.

The invention discloses a joint process for preparing ethylene and synthesis gas by direct conversion of methane. The invention provides the joint process for directly converting a methane-containing raw material into the ethylene and producing the synthesis gas at the same time. The process overcomes the limit of using single product as a target during directly preparing the ethylene from the methane in the past; and besides the methane is converted into the ethylene with high yield, the further utilization of the methane is also taken into consideration, namely, the methane can be converted into the synthesis gas with high yield.

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

The invention relates to a catering garbage reutilization method. It separates the liquid and the solid garbage and acidify them, then separate oil and water to get waste oil grease and sewage, using the waste grease synthesizing into biological diesel, processing the sewage to the required standard, crushing and grinding the solid, which are mixed with water to generate alcohol, batching, sterilizing, fermenting and drying the animal fodder. In this way, it can realize harmless processing of food waste, with zero discharge and enclosed green production.

The invention relates to an I/O resource scheduling model for a distributed virtual machine monitor. The model is implemented by the following four steps: 1, detecting a physical resource stage; 2, establishing a global virtual I/O bitmap; 3, processing I/O instructions; and 4, interrupting virtualization. The model provided by the invention implements direct access of the distributed virtual machine monitor to equipment under a single system image, provides a complete I/O resource scheduling scheme, improves the utilization efficiency of I/O resources, and has good use value and broad development prospect.

The invention discloses a content recommending method and system. The method comprises the steps of collecting user original behavior data through an interactive program script and conducting statistics on the collected user original behavior data to obtain quantized user quantitative behavior data; obtaining a time factor of user behaviors by simulating human life activity; scoring how much the user likes an attended content to obtain the scoring situation; inputting the scoring condition into the collaborative filtering recommendation to obtain a recommended result, and pushing the recommended result to the user.

The invention discloses a method for self-adjusting control parameters of a speed ring of a permanent magnet synchronous motor based on fractional orders. An integer-order proportional integral (PI) controller in an alternating current servo system of the permanent magnet synchronous motor is replaced by a fractional-order PI controller, parameters of the fractional-order PI controller are automatically adjusted, and the alternating current servo system of the permanent magnet synchronous motor can be controlled. The method specifically comprises the following steps of: firstly, acquiring current and speed signals of the alternating current servo system; secondly, identifying a speed ring controlled object model of a permanent magnet synchronous motor servo system according to the acquired signals, and identifying the parameters of the model; and finally, optimally adjusting the control parameters, and thus obtaining optimal control parameters. According to the method, the original integer-order PI controller is replaced by the fractional-order PI controller, and the parameters of the controller are automatically adjusted; the parameters of the controller are optimized by using a pattern search algorithm; and the adjusted parameters of the controller are high in robust, high in anti-disturbance capacity and high in control accuracy.

The invention provides a vehicle door opening early warning auxiliary system and belongs to the field of vehicle safety. The vehicle door opening early warning auxiliary system comprises a rearview camera used for detecting pedestrian information and transmitting the pedestrian information to a processing unit through a CAN bus, a radar probe used for detecting vehicle information and transmitting the vehicle information to the processing unit through the CAN bus, the processing unit used for calculating the received vehicle information and the received pedestrian information, judging whether collision danger exists in the door opening process or not and sending out a command to a vehicle body control module and further used for receiving information of an owned vehicle, making a judgment and sending out a command for activating/closing the vehicle door opening early warning auxiliary system, and the vehicle body control module used for receiving the command of the processing unit and starting/stopping the vehicle door opening early warning auxiliary system or sending out an alarm. By the adoption of the vehicle door opening early warning auxiliary system, various motor vehicles or pedestrians can be accurately and effectively detected, and the collision danger caused by the fact that a driver is distracted when opening a door is avoided.

The present invention discloses an image recognition-based facial skin analysis system. The image recognition-based facial analysis system is capable of conducting a series of evaluation on the condition of the skin to obtain an overall evaluation. The system mainly comprises a face detection and segmentation module, a whitening degree detection module, a roughness detection module, a stain amount detection module and a comprehensive judgment module. Firstly, a detection image is input to be subjected to front face detection, area location and segmentation by a classifier. Secondly, the segmented image is subjected to skin color brightness and ruddy condition analysis, wherein the roughness of a feature index quantification detection area is obtained based on a gray level co-occurrence matrix. Thirdly, the stain amount is analyzed based on the similar watershed method through calculating the sum of sectional areas. Finally, the comprehensive judgment is conducted according to all detection results. Based on the technical means, the application effect of a product is quantified, so that the quality of the product is controlled. The system has great economic value for cosmetic manufacturers. Meanwhile, the system brings more economic benefits.

The invention discloses an intensified deep concentration system for high-salt-content industrial wastewater and a technology thereof and belongs to the field of water treatment. The high-salt-content industrial wastewater is adjusted through an adjusting tank, settled through a softening settling pond, filtered through a V-type filter tank, filtered through an ultrafiltration device in an intensified mode and concentrated through a first-stage reverse osmosis device, then the hardness is removed through an ion exchange resin device, and salt separation is performed through a nanofiltration device; thick water of the nanofiltration device is concentrated through a frequent electrode transfer electrodialysis device, produced water is oxidized through an advanced oxidization device and then enters a general produced water tank, and thick water is crystallized through a freezing crystallization system and crystallized with sodium sulfate; produced water of the nanofiltration device is concentrated through a second-stage reverse osmosis device and concentrated again through the frequent electrode transfer electrodialysis device, produced water is oxidized through the advanced oxidization device and enters the general produced water tank, and thick water is crystallized through an MVR evaporative crystallization device and crystallized with sodium chloride. The intensified deep concentration system has the advantages that potential safety hazards caused by high-pressure operation are effectively reduced; the problem that the COD content is high after thick salt water is highly concentrated is effectively solved, the purity of crystallized salt is improved, and the using value of the crystallized salt is improved; the system is high in automation degree, easy to operate, low in operation pressure, stable in operation, high in purity of the crystallized salt, low in operation cost and the like.

The invention discloses an image classification method based on self-modulated dictionary learning. The method includes the steps: in the training phase, step 1, local feature extracting,; performing local feature descriptor on every training image of a training image collection to extract and generate local feature collection of the training image collection; step 2, self-modulated dictionary learning; step 3, training image displaying which comprises two sub-steps of feature sparse coding and image space aggregation; step 4, classification model learning; step 5, local feature extracting; step 6, images to be classified displaying; step 7, model predicting. The image classification method introduces reasonable ordering mechanism to dictionary learning, designs a dictionary learning method of self-modulated mechanism, and combines image classification to analyze and verify to improve accuracy of image classification eventually.

The invention relates to the technical field of big data processing, and particularly relates to a block chain based large scale data sharing method. The method is based on a block chain technology, and pieces of block data are connected in series according to the occurrence sequence to form the whole large scale data; corresponding functions are realized through a data access module, a payment module and a data evaluation module; the data access module is provided for a data source reporting party to report a data source and earning value pricing of a response, records the reported information and is used for receiving earnings; the payment module issues relevant tokens, a data demanding party pays tokens according to data utilization and acquisition conditions, the data source reportingparty acquires the tokens, and an intermediate party acquires service tokens; the tokens can be converted into actual earnings; and the data evaluation module is provided for the data source reportingparty to define an earning mode of the data, and a block chain data sharing network performs pricing on the data earnings according to the set method and lists pricing lists of various types of data.The method solves problems of slow response speed, IO bottleneck and the like in the traditional data centralization process, can promote utilization of various types of data and improves the utilization value.

The present invention relates to a video conference system, and particularly to a multi-picture-mixing method of video conference system and a device thereof. The method comprises the following steps in turn: a. establishing connection between the video conference terminals and a multi-point control unit, transmitting the local audio and video flow and sound condition to the multi-point control unit; b. determining which terminal is a speaking terminal by the multi-point control unit according to sound information, combining the picture of speaking terminal with the pictures of other terminals to one output video flow, and executing special displaying for the picture of speaking terminal; c. transmitting the mixed output video flow to each terminal of video conference by the multi-point control unit; and d. displaying the received output video flow on the display by each terminal of video conference. The invention settles the problem that the sub-screen of each terminal can not determine and display the speaking end in the prior video conference system. The using of conference participators is facilitated and the actual operation effect of system is improved.

The invention relates to infrared camouflage paint as well as a preparation method and an application thereof. The paint comprises filler, a coating agent and an additive. The preparation method comprises the following steps: mixing and ball-milling 30-90 parts by weight of solvent, 1-30 parts by weight of wetting dispersant and 5-60 parts by weight of filler, so as to obtain lanthanum-based rare earth compound powder concentrated pulp, ball-milling the solvent and the coating agent so as to obtain the ball-milled coating agent, and ball-milling the solvent, the lanthanum-based rare earth compound powder concentrated pulp and the ball-milled coating agent so as to obtain the infrared camouflage paint. According to the application of the infrared camouflage agent, the infrared stealth coating is added to a substrate by using a dipping, coating or padding method. The invention provides a novel low-emissivity material, namely the infrared camouflage paint, not only are materials for the paint easy to obtain, but also the paint is simple to operate, relatively low in cost, capable of effectively pretending and shielding human bodies, glass, polymer films, military weapons and the like and reducing the possibility that the articles are detected by infrared detectors, and has a good application prospect.

The invention relates to a method for slitting, striking and redrying tobacco, which is technically characterized by comprising the following step of: cutting tobacco lead bases with minimum tensile strength, poorest physical processing resistance and poorer perception smoke panel test quality and appearance quality in the tobacco for singly cutting, striking and redrying. The method has the mainadvantages that remained non leaf base tobacco leaves are crushed to be smaller when leaves and stems are separated singly after the tobacco leaf bases are cut for being singly processed, the leaf structures are more uniform after the leaves are separated from the stems, the green and impurity content in the tobacco is reduced, thus the large-medium leaf ratio after the striking is improved, the crushing generated when the leaves are separated from the stems is reduced, the leaf yield is improved, and the purity of the tobacco is increased. After the tobacco is processed by using a slitting, striking and redrying method of the invention, the leaf base smoking quality is better, the fragrance quantity is improved, the smoke explosive force is increased, the smoking comfort is enhanced, andthe impurity gases are reduced, thus the use value of the tobacco can be improved.

The invention provides a device for monitoring heart rate and physical state. Sensors are mounted on a waistband, and the device comprises a data acquisition module, an FPGA (Field-Programmable Gate Array) control module and a DSP (Digital Signal Processor) data processing module. When the heart rate and the physical state of a subject change, the sensors collect body dynamic signals generated from the changes; the body dynamic signals generated from heartbeat after being processed by an analog, amplification and filter circuit and the body dynamic signals generated from changes of the physical state are output to the FPGA respectively through A/D (Analog/Digital) conversion circuits; the FPGA sends the body dynamic signals to the DSP to perform body dynamic signal processing by selectingone or multiple paths sensors, so as to calculate the heart rate and judge the physical state, and obtained data are fed back to the FPGA; and the FPGA sends the data to a monitoring center workstation by externally connecting a serial port with a communication module according to the information fed back by the DSP. The device provided by the invention can complete real-time, quick and accurate acquisition of multi-path signals to obtain physiological information of human body, and is combined with the wearing technology to realize long-term dynamic monitoring and identification of physiological information.

The invention relates to a photovoltaic assembly inclination angle and array pitch cross feedback multi-factor comprehensive calculation method, which sequentially comprises the following four steps including (1) assembly inclination angle preliminary calculation; (2) array pitch preliminary calculation; (3) array pitch optimization; and (4) assembly inclination angle optimization. The comprehensive calculation method provided by the invention has the advantages that the shadow loss of an assembly in the whole year time, the direct current cable consumption of a photovoltaic power generation unit, the direct current cable wire loss and the photovoltaic array occupied area are comprehensively considered, the optimal inclination angle of the assembly and the fore-and-aft pitch of arrays are determined, and in addition, the comprehensive calculation method capable of reasonably determining the assembly inclination angle and the array pitch for pursuing the power generation benefit maximization is provided.

The invention discloses a statistics distributed gamma or X ray energy spectrum unscrambling method which solves the problems of poor generality, large workload and poor precision of the traditional method. According to the invention, aiming at a Gaussian part in a gamma or X ray full-energy peak, a plurality of parameters with respective physical significances, which are obtained according to gamma or X ray detection characteristics are established, and solution processes of the parameters are illustrated. The statistics distributed gamma or X ray energy spectrum unscrambling method is technically characterized in that under the condition of stable or unchangeable simulation conditions of a gamma or X ray detector, the parameters are figured out once, and energy spectrum fitting can be carried out form a long time by using the parameters, so that the unscrambling realizing process is simplified and universalized, the defects of variable parameters and insufficient significance in the traditional energy spectrum fitting function or simulation energy spectrum widening function unscrambling method are avoided, and the analysis speed and the analysis precision of gamma or X ray energy spectrum analysis are improved.

The invention discloses a data integrated management scheme for an Internet of Things based on a middleware framework. An acquisition and integrated management framework for the data in the Internet of Things is divided into four layers through the data integrated management scheme, and the four layers are respectively a user interface layer, an application layer, a data integration layer and a bottom isomerous layer. In an overall environment of the Internet of Things, aiming at the data integration layer, the middleware framework of the data acquisition in the Internet of Things is provided, and the functional modules of the middleware and specific design flows of the functional modules are elaborated. Based on the middleware, the integrated management frame of an isomerous database is provided so that the middleware framework and the integrated management framework are combined together, the unified management of the data in the Internet of Things can be realized, and the requirements of users can be met well. Therefore, the data integrated management scheme has a certain actual application value.

The invention provides a multi-function module which is used to implement fluid circulation heat conduction at the same time to two ends of temperature difference semiconductor, and not only used to cause cooling and heat, but also used to generate temperature difference power. The multi-function module is made of at least two thermal conductivity boxes with snake-shaped flume in-house, a temperature difference semiconductor component, a heat insulation layer, a retaining plate, a pipe and a joint, a coil radiator, a water pump, and so on. The device can be installed in existing refrigerator and air conditioner directly replacing compressor. And the device has the advantages of simple manufacturing structure, easy installation, all machinery fixation, small size, light weight, low cost, high universality, high use-value, and the device is in favor of industrialization.

The invention relates to an intelligent target details acquisition device of video monitoring systems and the method thereof. The device uses one or a plurality of fixed cameras to monitor the whole monitored area, and uses one movable camera to capture target details in the set region. First of all, the invention obtains moving targets in the region from the images captured by the fixed cameras through a processing module; then tracks the separated moving targets and determines the motion state; if any target enters the set region, then according to the preset position parameters and focal length parameters of the region, the invention will adjust the direction and the focal length of the movable camera to capture detailed images of the target in the region; at the same time, the invention can conduct storage and remote transmission of the images as required. The invention has the advantages that the invention provides the video monitoring device which not only can monitor a large area, but also can automatically capture details of physical targets, and the method thereof, solving the contradiction between the monitored scope and the monitored target details in the prior art.