81results about How to "High information content" patented technology

The invention relates to a method for predicting dynamic risk and vulnerability at fine scale and belongs to the scientific field of global information. The method is mainly characterized in that an optimized Bayesian network is searched from multi-source heterogeneous spatiotemporal data on the basis of a grid format with certain resolution at fine scale; domain knowledge is combined to improve the network; therefore, the uncertain estimation of disaster risk and the vulnerability, namely probability estimation, is carried out. In the method, a nuclear density method is put forward to train a sample according to a sample derivative grid; an optimized discretization method is put forward to discretize continuous variables so as to provide discrete state space input for the network; a simulated annealing optimization algorithm is adopted to search an optimized network structure; and a method of accurate reasoning combined with approximate reasoning to predict the probabilities of risk and the vulnerability is adopted. The method provided by the invention can position the positions of the disaster risk and the vulnerability in real time at the fine spatial scale, estimate the spatial distribution of the risk probability and has important theoretical significance and practical value for improving the effects on the reduction and relief of disaster and building an intelligent public emergency pre-warning system by the state.

A method for visualizing a body volume, and a computer program product and a system for carrying out the method, wherein the method includes the steps of establishing a criterion for each pixel of a selected data set for whether or not the pixel is assigned to an image background; calculating a synthesized representation from at least two selected diagnostic data sets which are not identical, excluding the pixels assigned to an image background, the selected diagnostic data sets having a predefined spatial allocation with respect to each other; calculating each of the data values of the synthesized representation as a mathematical function of at least one data value of each of the selected data set; and displaying the synthesized representation of a data set whose data values represent the body volume two- or three-dimensionally on a display unit.

The invention discloses a sorting method and system for active learning. The sorting method comprises the following steps: firstly sorting all samples with relatively high uncertainty from original unmarked samples in a concentrated manner so as to obtain a most uncertain sample set; then dividing the most uncertain sample set into h different clusters by utilizing the similarity among the samples, dividing the samples with the relatively high similarity into the same cluster, and screening out most representative samples in each cluster to form the most representative sample set; and subsequently, carrying out information marking on the most representative sample set, and finally realizing the sorting of target objects by utilizing a marked sample train sorter and a trained analyzer. Therefore, the sorting method and system disclosed by the invention has the advantages that by clustering, the similar and relatively-high-redundancy samples are divided into the same type, and the screening is carried out on the basis of the clustering, so that the redundancy among the finally-selected samples to be marked is avoided, the marking time and workload are reduced and the sorting efficiency is improved.

The invention discloses a lane line detection method and device based on laser radar point cloud and camera image fusion and a chip, relates to the technical field of detection, and aims to solve theproblem of accurately and effectively detecting lane lines. The lane line detection method based on laser radar point cloud and camera image fusion comprises the following steps: receiving road surface point cloud information and road surface image information of the same road surface; determining a lane fusion image according to the road surface point cloud information and the road surface imageinformation; determining a road surface fusion image according to the road surface point cloud information, the road surface image information and the lane fusion image. Lane lines are detected from the road surface fusion image. The lane line detection device based on laser radar point cloud and camera image fusion is used for executing the lane line detection method based on laser radar point cloud and camera image fusion. The lane line detection device and chip based on laser radar point cloud and camera image fusion are used for lane line detection.

The invention discloses an embedded type harmful gas detection system, which comprises a cylinder, a reaction gas chamber; a gas pump, a flow sensor, an illuminating apparatus, an image acquisition instrument, an embedded type ARM9 chip, a lower computer PIC16F877, a touch screen, a porphyrin array sensor, a temperature sensor, a humidity sensor and a controllable heater, wherein the cylinder is used for storing a gas to be detected; the gas pump and the flow sensor are connected in series between the cylinder and the reaction gas chamber; the illuminating apparatus is arranged at the bottom of the reaction gas chamber; the image acquisition instrument is arranged at the top part of the reaction gas chamber; the embedded type ARM9 chip is connected with the lower computer PIC16F877 through an RS232 serial port; the touch screen is connected to the embedded type ARM9 chip; and the porphyrin array sensor, the temperature sensor, the humidity sensor and the controllable heater are arranged in the reaction gas chamber. By using a principle that different color reactions appear when the porphyrin array sensor contacts the gas, and extracting, processing, performing match identification on spectral information, the system finally obtains information on the gas to be detected, displays the information and gives an early warning in time, so the system is suitable for detecting toxic, harmful and volatile organic gasses in the fields of industrial operations, chemical industry, foods, environmental protection, interior decoration, safety and the like.

The invention discloses a water bloom prediction method based on a space-time sequence hybrid model, and belongs to the technical field of water environment prediction. The water bloom prediction method comprises the following steps: firstly, extracting a large-scale nonlinear trend term of water bloom spatio-temporal data based on a deep belief network; establishing a space weight matrix based onthe geographic positions of the multivariate space-time meteorological monitoring points; then extracting a small-scale residual term and carrying out modeling again; superposing the large-scale nonlinear trend term prediction value and the small-scale residual term prediction value, and obtaining a meteorological prediction value of the target water area according to an inverse distance weighteddifference method; and using ANFIS fusion to predict the water quality and meteorological data of the target water area. According to the method, the number of influence factors of water bloom outbreak is increased, so that the result of water bloom modeling prediction is more accurate, and the influence effect of the surrounding water area on the target water area can be reflected more truly. The method is high in applicability, can be used under the condition of bloom space-time sequence data of different water areas, is suitable for predicting bloom outbreak under different water qualitiesand weather conditions, and has universal applicability.

Molecular ions are generated by ionization, said molecular ions are accumulated in an ion reservoir that is external to the drift chamber. Than said molecular ions are dissociated into fragment ions (i.e. fragmented ions) with electromagnetic radiation or electron beams or ion beams, and said fragment ions are ion-mobility spectrometrically analyzed. In an embodiment the apparatus comprises additionally a virtual impactor and a pyrolyzer. The process of fragmentation over time are detected and analyzed, and this information is used for the differentiation of hazardous biological samples from non-hazardous biological samples.

The invention discloses a laser radar point cloud reflection intensity completion method and system, and the method comprises the steps: obtaining a gray image and an original point cloud of the sameroad surface through employing a calibrated vehicle-mounted camera and a laser radar; extracting edge information of the grayscale image by using a preset edge extraction strategy to obtain an edge image of the grayscale image; preprocessing the original point cloud to obtain an original point cloud reflection intensity projection image and an interpolation completion point cloud reflection intensity projection image; and inputting the grayscale image, the edge image of the grayscale image, the original point cloud reflection intensity projection image and the interpolation completion point cloud reflection intensity projection image into a pre-trained point cloud reflection intensity completion model, and outputting a completion point cloud reflection intensity projection image. Accordingto the point cloud reflection intensity completion method provided by the invention, the potential association between the point cloud and the image can be fully utilized, so that the reflection intensity image of the laser radar point cloud can be effectively and accurately completed.

The invention discloses a hierarchical clustering method and system based on multistage layered sampling. The method includes: using randomly-sampled initial sample sets as seeds to build layered inquiry strategies, and distributing corresponding sample number to each layer of inquiry strategies on the basis of the estimate variance minimum principle of each layer; using the layered inquiry strategies to perform layered sampling on data sources to obtain the representative sample sets with high sample representativeness; clustering the samples in the representative sample sets, and performing secondary sampling on the data sources on the basis the boundary points of the clusters to obtain uncertainty sample sets with high sample uncertainty; clustering on the basis of the collection of the initial sample sets, representative sample sets and the uncertainty sample sets to estimate the clustering center of the data sources. The method has the advantages that high representativeness and uncertainty of the samples are guaranteed through multistage layered sampling, the problem that randomly-sampled samples are poor in representativeness is solved, and the accuracy of data source clustering is increased.

The invention discloses a method for movably detecting the environment change, including the steps: changing the collected pictures in the YUV form into the RGB form, then dividing the picture in the RGB form into 10*10 pieces, comparing the difference of the picture at the same place on four aspects: R, G, B and brightness, when the difference is larger than the corresponding predetermined value, the environment is changed. The method has higher precision on the detecting the environment change, improves the computing efficiency, greatly reduces the computing complexity, which is suitable for the household video monitor.

The invention relates to an information processing method, which comprises that: a web server acquires a geographical position of a user terminal accessing the web server; the web server selects information matched with the geographical position of the user terminal in an information storage device which stores information corresponding to the geographical position; and the web server sets the matched information at a preset position of a web page and transmits the information and the web page together to the user terminal. In addition, the invention also provides an information processing device which can be used for implementing the information processing method. In the technical scheme, the web server provides different information contents to a user at the same moment according to different geographical positions. Therefore, the information processing method and the information processing device improve the information content of the information provided for the user, also can analyze user information and/or user behavior so as to perform related information promoting service, and have higher flexibility.

The invention relates to a probe for pathological diagnosis of a tumor. The probe comprises a gold nano-cluster and an antibody to a tumor specific marker, wherein the gold nano-cluster and the antibody to the tumor specific marker are connected through a click chemistry manner, and a mol ratio of the gold nano-cluster to the antibody is 1:1 to 1: 100. The invention further provides a preparation method for the probe used for pathological diagnosis of the tumor and a kit including the probe. Since the gold nano-cluster has high peroxide mimic enzyme activity, the gold nano-cluster can catalyze reaction of a color developing agent and emit light in a visible light area, thereby realizing visible light positioning of tumor cells; since the gold nano-cluster has near infrared fluorescence characteristics, the gold nano-cluster emits fluorescent light under the action of exciting light, thereby realizing fluorescence localization of the tumor cells. Thus, the probe for pathological diagnosis of the tumor can realize dual positioning of the tumor cells, so the probe has high accuracy in pathological diagnosis of the tumor.

An organic electronic device includes a first electrode layer, an organic resistive layer coupled to the first electrode layer wherein the organic resistive layer defines at least three regions, an organic active layer coupled to the organic resistive layer, and a second electrode layer coupled to the organic active layer. Each of the at least three regions is characterized by one of the plurality of resistances and the plurality of resistances includes at least three discrete resistances that are different from one another. The regions can be fabricated by selectively exposing portions of the organic resistive layer to a chemical, selectively removing portions of the organic resistive layer, or depositing a plurality of blends.

The invention discloses a human face detecting and tracking method based on deep learning and relates to the technical field of video image processing. The method comprises the following steps: firstly, carrying out human face detection, namely carrying out a human face detection task of frame image data, and forming queue output for the detected target information comprising a human face rectangular frame, a human face type and human face feature points; secondly, carrying out human face tracking, namely matching and updating the result queue obtained after human face detection, and completing a human face tracking task; and thirdly, carrying out human face determination, namely carrying out front human face determination on the newest tracked human face in a tracking list, and outputtingas a detected high-quality human face when a certain condition is met. The method disclosed by the invention has the advantages that the problem that tracking is unsuccessful due to blockage and rotation of human face is comprehensively solved, and the problem of repeatedly reporting human face image data is reduced; a distinguishing method of achieving the aim of uploading by judging whether human face is a front human face or not is designed and trained, and the expected effect is achieved; and a reliable human face image with high information content is provided for algorithms such as human face matching.

The invention relates to a cytotoxicity detecting method of nanophase materials and comprises the following steps: cells to be detected are inoculated on a plurality of pore plates with bottom micro-electronic sensors, and the pore plates are positioned on a detecting device of a cellular analyzing system; a cellular growth curve is monitored so as to obtain the adherence to microelectrode surfaces of the pore plates or growth situations of the cells; and after cell adherence is implemented for 2 to 30 hours, a sterilized culture fluid or buffer fluid of the nanophase materials is added, and the cellular growth curve continues to be monitored. The cytotoxicity detecting method of nanophase materials has the advantages of total automatic process, real-time monitoring, non-marking and non-damage of cells, can be used for detecting a plurality of objects, has small volume, less sample usage, low cost as well as simple and convenient operation of the detecting device, can be widely used for the toxicity detection of carbonic nanophase materials with high flux and high sensitivity, and raises analysis speed and easily realizes online control and detecting automation.

The invention belongs to the field of anti-counterfeiting marks, and particularly relates to a scratch-type anti-counterfeiting mark for wechat shopping and a manufacturing method for the scratch-type anti-counterfeiting mark for wechat shopping. The scratch-type anti-counterfeiting mark for wechat shopping sequentially comprises a scratch ink layer, an isolating oil layer, a numerical code layer, a printing layer, a substrate layer, a glue layer and a release-paper layer from outside to inside. The numerical code layer is provided with a two-dimension code, and after the two-dimension code is read in an optical mode, an interface formed by returned information has a secondary menu and a third menu. The number of codons, covered with the scratch ink layer, of the two-dimension code is smaller than the number, determined by the error correcting capability of the two-dimension code, of error codons capable of being corrected. The manufacturing method comprises the step of material selection, the step of plate making and printing, the step of code generation, the step of manufacturing of screen printing plates, the step of silk-screen printing and the step of recombination and die cutting. The scratch-type anti-counterfeiting mark for wechat shopping has the shopping function and the anti-counterfeiting function, the singleness defect that an original anti-counterfeiting mark only has the anti-counterfeiting function is overcome, the use value of the anti-counterfeiting mark is promoted, the market uniqueness of the anti-counterfeiting mark is enhanced, the function that a product is confirmed at first and then purchase is achieved, and the defect that long-distance identification is difficult is overcome.

The invention discloses a rail transportation operation state display method, which brings rail transportation roads, stations, operation lines, train operation states, passenger flow states and real-time or simulation interactive trends in a jurisdiction area into a display and management system by utilizing a computer and network technology, or makes a special display and management system, or adds the function into a traditional central control system for centralized display and management; the display content comprises current operation time and operation real-time statistic result; the display mode is real-time and visual and used for displaying different information elements by utilizing different colors, symbols and images. The invention has the advantages of comprehensively improving the display speed, information content and information quality of the rail transportation operation state with a more economic means under the traditional technical conditions and being beneficial to improving operation effectiveness, service quality and operation safety of the rail transportation.

A radar system, a medical diagnostic or therapeutic device and a method are disclosed for operating a radar system. An embodiment of the radar system includes an antenna arrangement embodied to be flat including individually actuatable transmit units for the transmission of radar signals and individually readable receive units for the receipt of radar signals. The transmit units and the receive units each include at least one antenna. Because the transmit units can be individually actuated and the receive units can be individually read out, the information content which can be obtained even without a strong spatial orientation of the radar beam, is increased. According to an embodiment of the invention, the radar system is designed to assign a radar signal received by a receive unit to the transmit unit which transmitted the radar signal received.

A method of fabricating an organic electronic device includes forming a first electrode layer, forming an organic resistive layer on the first electrode, selectively exposing the organic resistive layer to an ultraviolet light, forming an organic active layer on the selectively exposed organic resistive layer, and forming a second electrode on the organic active layer. An organic electronic device includes a first electrode layer, an organic resistive layer, an organic active layer and a second electrode layer. The organic resistive layer defines at least three regions. Each of the three regions is characterized by one of a plurality of resistances that are different from one another. Within each of the three regions, the resistance of the organic resistive layer at a first surface is different than the resistance of the organic resistive layer at a second surface.