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174results about How to "Obvious performance advantage" patented technology

Intelligent drop irrigation cloud service management system based on microservice-oriented architecture

The invention belongs to the technical field of intelligent management of water-saving irrigation and relates to an intelligent drop irrigation cloud service management system based on a microservice-oriented architecture. The system adopts an architecture with a layer structure and comprises a user layer, an application layer, a gateway layer, a microservice layer, a data layer, an internet of things layer and a resource layer. In the system, a business is split into small-granularity microservice, so that the problems of high coupling degree, high maintenance cost and low reliability of a single architecture are solved; due to the combination of distributed deployment, the request processing capacity is improved, the flexibility is stronger, and the performance advantages is obvious; andthe functional combination is flexibly regulated, according to the engineering scale, crop variety and investment level as well as the practical condition, so that it is convenient to realize rapid upgrading, the problems of long development period, high investment and maintaining and upgrading difficulty are solved, and the universality and adaptability are improved. Microservice covers the links such as operation, maintenance, irrigation, fertilization, pesticide application, agricultural machinery and agricultural technologies of a drop irrigation system, the operation management level ofthe drop irrigation system is comprehensively promoted, the informatization advantage of a platform is exerted, and the water saving, beneficiating and quality improving levels are improved.
Owner:CHINA AGRI UNIV

Channel estimation method of hybrid quantization system based on deep neural network

The invention discloses a channel estimation method of a hybrid quantization system based on a deep neural network. The method comprises the following steps: firstly, dividing a base station antenna into a high-precision ADC antenna set and a low-precision ADC antenna set, and generating a real channel and a received and quantized pilot signal as training data according to a system transmission model and a channel model in a simulation environment; then, sending training data to the designed deep neural network 1 and the designed deep neural network 2 for offline training, and ending the training by adjusting a neural network weight matrix until the performance is converged; and finally, assembling the trained neural networks 1 and 2 at a base station end, wherein the trained neural networks 1 and 2 are respectively used for estimating channels corresponding to the high-precision ADC antenna and the low-precision ADC antenna. According to the estimation method, the powerful learning capability of the deep neural network is fully utilized; through offline training based on a large amount of data, the deep neural network can explore spatial correlation between different antennas in alarge-scale antenna system, so that accurate mapping from a high-precision ADC antenna corresponding channel to a low-precision ADC antenna corresponding channel is realized.
Owner:SOUTHEAST UNIV

Integrated framework and integration method for multi-source heterogeneous geographic information resources

The invention discloses an integrated framework and integration method for multi-source heterogeneous geographic information resources. The integrated framework comprises a service integration module, a message management module, a structured data synchronization module, an unstructured data transmission module and a light-weight J2EE framework that integrates the four modules. The invention provides a modular distributed information resource sharing technology solution mainly aiming at the massive multi-source heterogeneous geospatial data and geographic information services. Based on the acquisition means, distribution positions, structural characteristics and other factors of the resources in the existing geographic information fields, corresponding scheme modules are designed and achieved from the aspects of cross-domain data entity transmission, distributed geographic information synchronization, remote service invocation, multi-dimensional platform message management and the like, and thus a set of complete geographic information heterogeneous resource integration framework can be achieved, the problem of calling, transmitting and synchronizing the services, messages, structured data and unstructured data between different platforms can be solved, the utilization efficiency of the networked resources can be increased, and the sharing cost of the resources can be reduced.
Owner:中国科学院电子学研究所苏州研究院

OFDM (Orthogonal Frequency Division Multiplexing) system parametric channel estimation and equalization method based on compressed sensing technology

The invention discloses an OFDM (Orthogonal Frequency Division Multiplexing) system parametric channel estimation and equalization method based on compressed sensing technology. The channel estimation method comprises the following steps: 1) an OFDM frequency domain at a pilot subcarrier receives data, and parameter estimation is carried out on the channel based on a channel parametric model: firstly, according to a MDL (Minimum Description Length) criterion, a multipath number estimation value L<^> of the channel is obtained; then, the ESPRIT (estimation of signal parameters by rotational invariance techniques) technology is used for estimating delay parameters for each path, and multipath delay estimation values tau<^>=[tau<^>1, tau<^>2,..., tau<^> < L<^>>] are obtained; and 2) a parameter estimation result is used for building a redundant dictionary matrix, and a channel response estimation value is solved through a BPDN algorithm. Based on parametric channel modeling, the signal parameter estimation technology is combined with a compressed sensing frame, the channel estimation precision and the communication efficiency are improved, and the communication bit error rate is reduced. Compared with the traditional channel estimation method, the method of the invention has obvious performance advantages.
Owner:CENT SOUTH UNIV

Thermal-insulation photovoltaic tile and producing method thereof

The invention discloses a thermal-insulation photovoltaic tile. The thermal-insulation photovoltaic tile is characterized by being composed of a flexible thermal-insulation substrate and a flexible photovoltaic cell component which is bound on the flexible thermal-insulation substrate through an inflaming retardant polymer binder. The flexible thermal-insulation substrate is a nano silicon dioxide aerogel felt core material with two sides covered with flexible water-proof sheets. The flexible photovoltaic cell component comprises a flexible thin-film cell component, a film layer and a coating layer from the interior to the exterior successively. The flexible water-proof sheets are in layer structures, and each comprises a lower inflaming retardant polymer cement mortar layer, a high-tenacity glass fiber reinforced inflaming retardant non-woven fabric padding and an upper inflaming retardant polymer cement mortar layer from the bottom to the top successively, and the three layers of structures are integrally consolidated. According to the thermal-insulation photovoltaic tile, the flexible substrate which is water proof and impervious, fire proof and inflaming retardant, anti-crack and impact resistant, thermal insulating and light and thin is combined with the amorphous silicon flexible thin-film solar photovoltaic cell component to form the photovoltaic roof tile which can be fire proof and water proof and thermal insulation and can perform photovoltaic power generation.
Owner:金玛环保科技有限公司

Method for greatly improving antenna isolation and antenna

The present invention provides a method for greatly improving antenna isolation and an antenna. The method is characterized by feeding an in-phase signal and an anti-phase signal in antenna radiators at the same time, thus differential-mode radiation and common-mode radiation generated in the antenna radiators at the same time can achieve improvement of the antenna isolation. The antenna comprises antenna radiators, a mode separating drive circuit, a first radiation feed source and a second radiation feed source; wherein one end of the first radiation feed source is connected with the mode separating drive circuit, the other end of the first radiation feed source is grounded; one end of the second radiation feed source is connected with the mode separating drive circuit, the other end of the second radiation feed source is grounded; the mode separating drive circuit is also connected with the antenna radiators; the mode separating drive circuit enables an electric signal of the first radiation feed source to be inputted into the antenna radiators in the form of in-phase signal, so as to generate common-mode radiation; and the mode separating drive circuit simultaneously enables an electric signal of the second radiation feed source to be inputted into the antenna radiators in the form of anti-phase signal, so as to generate differential-mode radiation. Therefore, the antenna isolation is improved through double radiation modes.
Owner:SHANGHAI AMPHENOL AIRWAVE COMM ELECTRONICS CO LTD

Low-profile high-gain dual-polarized antenna

The invention discloses a low-profile high-gain dual-polarized antenna, and the antenna is characterized in that the antenna comprises a feed network layer, a second dielectric substrate layer, a metal ground layer, a first dielectric substrate layer and a radiation layer, wherein the feed network layer, the second dielectric substrate layer, the metal ground layer, the first dielectric substrate layer and the radiation layer are sequentially stacked; the antenna also comprises four metal probes which vertically pass through the feed network layer, the second dielectric substrate layer, the metal ground layer, the first dielectric substrate layer and the radiation layer, and are electrically connected with the radiation layer and the feed network layer; the radiation layer comprises a circular metal paster and four T-shaped metal pasters which generate parasitic resonance; four first openings formed by the four metal probes on the radiation layer takes the circle center of the circular metal paster as the center, thereby forming four corners of a first square. According to the invention, the antenna employs the T-shaped metal pasters as parasitic resonance structure units, thereby enabling the bandwidth of the antenna to be effectively enlarged. Moreover, the T-shaped structures and the circular paster are located in the same layer, so the machining is easy, and the large-scale production is facilitated.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA

Optical fiber interferometer arrangement method of region anti-intrusion system based on optical fiber interferometer

The present invention provides an optical fiber interferometer arrangement method of a region anti-intrusion system based on an optical fiber interferometer, wherein one or more defense regions are arranged at the boundary of a protection region of the optical fiber interferometer according to the size of the protection region and a requirement of information precision of an intrusion alarming position, and at least one integrated cycle is formed for the protection region; the plurality of defense regions which are connected in series or parallel form one integrated cycle for the protection region; the light of a light source is transmitted to a light path adapter via a transmission light path, then divided into a plurality of paths corresponding to the defense regions by the light path adapter; one or more defense lines parallel to the boundary are arranged in each of the defense regions, and the plurality of defense lines are arranged at intervals in a longitudinal direction, and each defense line is composed of one path of optical fiber interferometer; the phase difference of the light signal transmitted in two arms of the optical fiber interferometers of each defense region is detected so as to distinguish the characteristic of the doubtful interference events in the boundary of the protection region; when the signal characteristic satisfies the intrusion characteristic mode, the system determines the position of the vibration signal and alarms.
Owner:CHINA PETROLEUM PIPELINE BUREAU

Fiber interferometer-based area anti-intrusion method

The invention discloses a fiber interferometer-based area anti-intrusion method, which comprises the following steps of: arranging one or more defense areas on the boundary of a protected area by a fiber interferometer according to the size of the protected area and different requirements on information accuracy of an intrusion alarm device, forming at least one complete enclosure for the protected area, and forming a complete enclosure for the protected area by connecting the plurality of defense areas in series or in parallel; making the light emitted from a light source pass through a transmission light path to reach a light path adapter, splitting beams into a plurality of paths by the light path adapter to correspond to the plurality of defense areas respectively; forming one or moredefense lines parallel to the boundary in each defense area, wherein the plurality of defense lines are separated at intervals on depth, and each defense line consists of a path of fiber interferometer; and detecting the phase difference of optical signals transmitted in two arms of the fiber interferometer in each defense area, discriminating the characteristics of suspicious disturbance events on the boundary of the protected area, judging the position of a vibration signal by the system when the signal characteristic accords with an intrusion behavior characteristic mode and alarming by the system.
Owner:CHINA PETROLEUM PIPELINE BUREAU

Copper-containing molecular sieve Cu-CHA, catalyst and use thereof

The present application discloses a copper-containing molecular sieve Cu-CHA, a catalyst thereof and use thereof in the treatment of diesel vehicle exhaust gas, and belongs to the field of catalytic materials. The copper-containing molecular sieve Cu-CHA consists of zeolite having a CHA framework structure and containing silicon and aluminum elements as well as 1.65-3.05wt% of Cu; the Cu-CHA molecular sieve also comprises 0.5-1.5wt% of boron, and the Cu-CHA molecular sieve has an acid content of 0.25-0.98mmol/g. The Cu-CHA molecular sieve of the present application has an acid density as highas 0.25-0.98mol/g and a Cu content as low as 1.65-3.05wt%. As a catalyst for the selective catalytic reduction of ammonia, the Cu-CHA molecular sieve has excellent storage capacity for NH3 and good low-temperature activity, and the absence of CuOx species in the high-temperature section prevents the reduction of high-temperature activity due to non-selective oxidation of NH3. The Cu-CHA molecularsieve catalyst shows excellent catalytic activity in a wide temperature window, taking into account both low temperature and high temperature activities, and still shows good catalytic activity afterbeing subjected to hydrothermal aging treatment; and after being used in the treatment of diesel vehicle exhaust, the Cu-CHA molecular sieve catalyst has significant performance advantages.
Owner:SHANDONG SINOCERA FUNCTIONAL MATERIAL CO LTD

Channel information compression feedback method adopting bit-level optimized network

The invention discloses a channel information compression feedback method adopting a bit-level optimized network. Firstly, two-dimensional Fourier transform is used for converting a channel matrix ofa frequency domain into an angle-time delay domain, then a complex matrix is split into two real number sub-matrices and splicing is performed; a coding network is used for extracting channel characteristics through a composite residual network, channel characteristic dimension is compressed through a full-connection network, and finally each real number is quantized into a 4-bit binary symbol through a quantizer; and a decoding network is used for mapping received binary bit streams into real number code words, then dimension expansion is carried out through one full-connection network, and finally channel information is recovered through two composite residual networks. According to the method, the composite residual network is introduced, and a bit-level optimized network training method is provided, so that the compression and recovery performance of the channel information is effectively improved; and channel compression feedback can be carried out more efficiently by the trainedbit-level optimized neural network; and the method has obvious performance advantages.
Owner:SOUTHEAST UNIV

Topomap surveying and mapping method and device

The invention provides a topomap surveying and mapping method and device, and relates to the technical field of geographic information measurement. The method comprises the steps that a measuring areaof a to-be-surveyed and mapped terrain is determined, wherein the measuring area is a constructed road in the to-be-surveyed and mapped terrain; and the measuring area is subjected to topomap surveying and mapping by adopting a vehicle-mounted three-dimensional laser scanning measuring system, surveying and mapping equipment and a work mode of field work repair measuring, and a topomap of the measuring area is determined. According to the topomap surveying and mapping method, the vehicle-mounted three-dimensional laser scanning measuring system is mainly used to scan the measuring area, internal work personnel process data obtained by scanning to obtain a topomap sketch, and field work personnel perform repair measuring; the method realizes that most of work of topomap surveying and mapping is converted into internal work from field work, so that the field work cost is greatly reduced; and the three-dimensional laser scanning measuring system takes a vehicle as a platform, so that themeasuring area is convenient to enter, work conditions are loose, and the technical problems that an existing large-scale topomap production mode is high in cost and work is affected by various factors are relieved.
Owner:AERIAL PHOTOGRAMMETRY & REMOTE SENSING CO LTD

Quantization method of dictionary learning-based image compression system

The invention relates a quantization method of a dictionary learning-based image compression system and belongs to the image compression technology filed in multimedia communication. According to the method of the invention, zero coefficients are removed from a coefficient matrix; nonzero coefficient values are sorted; a nonzero coefficient sequence is truncated through using an estimated truncation coefficient percentage; a reserved nonzero coefficient sequence is normalized; a uniform quantization method is adopted to divide the processed nonzero coefficient sequence into equal subintervals; K-means clustering quantization is carried out independently in each subinterval; in the iteration process of the K-means clustering quantization, the mean value of all elements in each category is adopted as a new clustering center of the category; after an iteration termination condition is satisfied, all nonzero coefficients in each category are quantified into corresponding clustering center values; the PSNR (Peak Signal to Noise Ratio) of a reconstructed image is calculated and is compared with the set minimum PSNR given value of the reconstructed image; the truncation coefficient percentage is adjusted; and the above operation is repeated until the calculated PSNR value of the reconstructed image is not lower than the minimum PSNR given value of the reconstructed image. Compared with a quantization method according to which uniform quantization or K-means clustering quantization is used independently, the dictionary learning-based quantization method of the image compression system is advantageous in optimal quantification performance.
Owner:TSINGHUA UNIV +1

Camouflage target image segmentation method based on information mining

ActiveCN112750140ASolve the problem of camouflaged target segmentationPerfect segmentation resultsImage enhancementImage analysisScene segmentationFeature extraction
The invention belongs to the technical field of scene segmentation in computer vision, and discloses a camouflage target image segmentation method based on information mining. The PFNet sequentially comprises a multi-layer feature extractor, a positioning module and a focusing module, wherein the multi-layer feature extractor obtains context features of different levels by using a traditional feature extraction network; the positioning module firstly uses RGB feature information to preliminarily determine the position of a camouflage target in an image; and the focusing module is used for mining information and removing interference information on the basis of the RGB feature information and the preliminary position information of the image, and finally determining the boundary of the camouflage target step by step. According to the method, the concept of interference information is introduced into a camouflage target segmentation problem, a new information exploration and interference information removal strategy is developed, and segmentation of a camouflage target image is facilitated. From the perspective of the result, the PFNet segmentation result is very excellent, and the fine degree of the camouflage target boundary is also satisfactory. Meanwhile, the method is wider in applicability.
Owner:DALIAN UNIV OF TECH
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