64results about How to "Improve application feasibility" patented technology

The invention relates to a student classroom attendance statistical system which comprises a management terminal and a plurality of user terminals, wherein the user terminals include a classroom management terminal, a teaching management terminal, a student management terminal, a class teacher terminal and a student terminal; the management terminal includes a computer, the classroom management terminal, the teaching management terminal and the student management terminal; the class teacher terminal includes a mobile phone or a computer; the student terminal include student mobile phones. The student classroom attendance statistical system disclosed by the invention is synchronous in statistics and management and accurate and effective in information and has the characteristics of scientificity, convenience, advancement and the like; the student classroom attendance statistical system disclosed by the invention can finally achieve the purpose of management work preposing in a working mode in the existence of an informatization platform, so that the problem of student nonattendance can be effectively solved and the prerequisite condition for building a positive upward study style atmosphere is created.

The invention discloses a polarization shift keying demodulation method and a system. The method comprises the steps of: splitting a single-frequency continuous laser wave beam in an adjusted polarization state into a horizontal polarized light wave beam and a vertical polarized light wave beam which are orthogonal to each other, and conducting polarization shift keying modulation to one light wave beam to form a polarization shift keying modulated light wave beam; keeping the polarization state of the other light wave beam to be unchanged and using the other light wave beam as a reference light wave beam for the polarization shift keying modulated light wave beam; combining the polarization shift keying modulated light wave beam with the reference light wave beam, successively conducting power amplification, filtration and transmission, filtering carrier signals, converting into light current, then converting into light voltage and judging in a voltage comparator to obtain data corresponding to polarization shift keying modulation signals. By using the polarization shift keying demodulation method and the system, matched dynamic polarization control is not required during demodulation judgment at a receiving end, a transmitting end is not required to conduct differential encoding to the data and the complexity of the transmitting end is reduced; and a local light source is not required, the requirements on the accuracy and stability of a light path are reduced and the cost is saved.

The invention discloses a surface soil moisture inversion method based on passive microwave remote sensing data. The method comprises the following steps that a soil component spatial distribution image and a microwave brightness temperature spatial distribution image of each wave band are acquired; the average effective temperature of the earth surface is calculated by utilizing vertical and horizontal polarization brightness temperature data of a K waveband, and a microwave brightness temperature polarization difference index of an X waveband is constructed by utilizing vertical and horizontal polarization brightness temperature data of the X waveband; the surface average effective temperature and the microwave brightness temperature polarization difference index of the X waveband are substituted into a soil dielectric constant mathematical model and a microwave radiation transfer model so as to solve the optical thickness of vegetation and the dielectric constant of soil; and the dielectric constant of the soil is substituted into a soil moisture content inversion model, and calculation is made so as to acquire the surface soil moisture content. The method has the advantage thatafter verification, compared with a data value obtained through an original algorithm, and a data value of the soil moisture content calculated through an improved inversion algorithm has higher inversion precision under a waterish surface condition.

The invention refers to the area of materials science and material physics and relates to a coated magnetic alloy material that can be used, for example, as a magnetic cooling material for cooling purposes. The object of the present invention is to provide a coated magnetic alloy material that exhibits improved mechanical and/or chemical properties. The object is accomplished by a magnetic alloy material having an Na Zn13-type crystalline structure and having a composition according to the formula Ra Fe100-a-x-y-z Tx My Lz, the surface of said alloy material being coated with a material comprising at least one element from the group of Al, Si, C, Sn, Ti, V, Cd, Cr, Mn, W, Co, Ni, Cu, Zn, Pd, Ag, Pt, Au or combinations thereof. The object is further achieved by a method in which the magnetic alloy material is coated by way of fluid phase processes.

The invention discloses a comprehensive intelligent method for predicting an impact danger level based on micro-seismic fractal, and is applicable to the field of mine pressure impact prediction in the mine safety field. The method comprises three parts of micro-seismic fractal index input, fuzzy intelligent processing analysis and intelligent prediction result output. The method comprises specific steps of calculating micro-seismic time, space and energy fractal indexes, establishing an impact danger level membership matrix, establishing an index abnormity index and a Gaussian membership function, establishing a single-index evaluation matrix R, and calculating and updating each index weight matrix in real time by adopting an F value scoring method in a confusion matrix; calculating the membership probability of each impact danger level, and determining the final impact danger level by combining a maximum membership degree principle (MMDP) and a variable fuzzy feature recognition model (VFPR). The method is clear in mathematical model, high in universality and operability, capable of achieving intelligent probability prediction of different impact danger levels and intelligent recognition of comprehensive results, good in application feasibility and high in intelligent prediction efficiency.

The invention relates to a chitosan-based plant leaf surface water evaporation retardant and a preparation method thereof. A chitosan-based sol-gel system, namely, the retardant for retarding the plant leaf surface water evaporation rate, is prepared from carboxymethyl chitosan, gelatin and sodium beta-glycerophosphate through compounding. The preparation process is simple, the prepared sol system is sprayed to leaf surface, a colorless and transparent sol film layer can be formed rapidly through self-spreading, the environment temperature rises in summer, the sol film layer is changed into a thin gel layer, water can be locked by a three-dimensional network structure of gel, and leaf surface water evaporation is retarded. The chitosan-based plant leaf surface water evaporation retardant can effectively prolong the retention time of the water on the leaf surface and especially has good application feasibility in high-temperature drought regions in northwest. If the retardant is combined with a pesticide for application, the action time of the pesticide can be prolonged greatly, the action intensity of the pesticide is enhanced, and the retardant has great application value in decrement and synergism of the pesticide.

The invention relate to a method for reconstructing a complex morphology of a flexible platy structure based on a two-dimensional orthogonal curvature. The method comprises steps of: using an optimized discrete-distributed orthogonal optical fiber grating to form a sensor network, and establishing an orthogonal curvilinear net of the platy structure by obtaining two-dimensional orthogonal curvature information of each grating measurement point on the surface of the platy structure and performing meshing of the platy structure on the basis of the continuous curvature; constructing a motion coordinate system on the orthogonal curvilinear net, calculating a relative coordinate of the measurement point in the motion coordinate system by using the motion coordinate system, and on this basis, calculating a world coordinate of the measurement point; and obtaining torsion angles of the motion coordinate system in two directions, and updating the motion coordinate system by using the torsion angles. The method requires hardware including a square flexible platy structure experiment model, an optical fiber grating sensor network which is implanted to the structure surface in an optimized distributed manner, an optical fiber grating network signal analyzer, an algorithm running and graphic processing computer, and a display.

The invention discloses a soil heavy metal stabilizing agent. The soil heavy metal stabilizing agent comprises activated attapulgite and a heavy metal compounding agent. The heavy metal compounding agent is combined with the activated attapulgite through hydrogen bonds or covalent bonds, so that soil heavy metal is adsorbed by the activated attapulgite and the heavy metal compounding agent cooperatively. The heavy metal compounding agent is one or more of 3-sulfydryl-2-butyl alcohol, 2-sulfydryl-3-butanone, and 8-sulfydryl menthone. The mass fraction of sulfydryl in the soil heavy metal stabilizing agent is 0.5%-10%, and the particle size of the sulfydryl is smaller than 150 micrometers. The invention further discloses a preparation method of the soil heavy metal stabilizing agent and the application of the soil heavy metal stabilizing agent in soil remediation. According to the soil heavy metal stabilizing agent and the preparation method and application thereof, the soil heavy metal stabilizing agent which is neutral in pH value, nontoxic and environmentally friendly is prepared, the heavy metal is stabilized in the soil, the mobility and the biological activity of the heavy metal are reduced, secondary pollution is avoided during soil remediation, and the applicability is higher in soil remediation engineering.

The invention relates to a campus shared bicycle delivery information processing method and device based on a W-iFi log. The method comprises the following steps: segmenting a campus map; Wi-Fi log collection: collecting a certain amount of user equipment Wi-Fi connection logs, and screening data of mobile equipment to construct a historical data set; space-time trajectory extraction: extracting space-time information of a user in the Wi-Fi log to form a historical trajectory; time sequence prediction: performing statistics to generate a regional pedestrian flow data set, constructing a prediction model, and realizing long-term accurate prediction of the number of people, the inflow and the outflow of the region; and release strategy research: designing resource demand measurement according to a pedestrian volume prediction result, and selecting a bicycle release area and a release proportion based on the resource demand measurement. Compared with the prior art, the method takes the campus WiFi log as a starting point, quantitatively analyzes the actual change condition of the pedestrian volume of each region, and adopts the deep learning model to carry out long-term accurate prediction, so that the utilization rate of the campus shared bicycle can be improved.

The method comprises: according to the brightness histogram of the inputted brightness signals, resolving the mathematic relation between the brightness histogram and the Gamma characteristic function in order to determine the Gamma characteristic parameters by which making Gamma correction. By the invention, the Gamma correction can be made by only needing to input the brightness signal histogram and output the brightness signal histogram. The invention can be used in IPTV, cooperative data conference and public video communication where the low-end vide inputting device are widely used.