83results about How to "High information content" patented technology

The invention relates to a method for two- or three-dimensionally visualizing a body volume, wherein a data set whose data values represent said body volume is displayed two- or three-dimensionally on a display, in which method a synthesized data set is computed from at least two selected diagnostic data sets which are not identical and have a predefined spatial allocation or relationship with respect to each other, wherein each of the data values of said synthesized data set is computed as a mathematical function of at least one data value of each selected data set, and said synthesized data set is displayed on the display unit. The two- or three-dimensional visualization of said synthesized data set may comprise more various items of image information than a selected data set and may thus be more informative and more accurate in detail. The invention also relates to a computer program product, and to a system for implementing said method.

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 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 discloses a preparation method and use of a simple sequence repeat (SSR) marker for screening miscanthus by a magnetic bead enrichment process, which comprises: 1) extracting genomic DNA of miscanthus floridulus which belongs to miscanthus; 2) incising the extracted total DNA by using restriction incision enzyme to obtain a genomic DNA; 3) intercrossing a probe and a target fragment; 4) enriching the hybrid DNA molecules having an SSR sequence by using magnetic beads; 5) amplifying and purifying the DNA fragment having the SSR sequence; 6) cloning and sequencing the DNA fragment; and 7) designing an SSR primer according to the flanking sequence of SSR, and designing a specific primer by using primer design software for amplifying the satellite fragment at the locus. The method is easy and convenient for operation; meanwhile, the SSR marker has the characteristics of high codominance, high polymorphism, multiple allele property and the like and can be used for analyzing the genetic diversity and genetic relationship of miscanthus and used in construction of genetic map of miscanthus, calibration of a target gene and drawing of a fingerprint.

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.

The invention discloses a method for measuring a material parameter and a material thickness by using a terahertz pulse. The method comprises the steps of measuring a reference signal and a sample signal; extracting the pth time of echo signal from the sample signal and obtaining an experiment value of a corresponding transmission coefficient; measuring a measurement value of a sample thickness L; building a main peak / echo transmission model; calculating a transmission coefficient calculation value corresponding to the pth echo signal; calculating a first material electromagnetic parameter and a second material electromagnetic parameter; calculating a total difference value function of the material parameter; if the total difference value function of the material parameter meets the preset conditions, taking the sample thickness corresponding to the total difference value function of the material parameter as an accurate thickness of the sample to obtain the calculation value of the transmission coefficient corresponding to a main peak corresponding to the sample thickness L; and calculating a real part and a virtual part of a corresponding sample complex refractive index. By using the above method, the material parameter of an optical thick sample can be accurately determined and the material parameter and thickness of a terahertz pulse period can be measured at the same time.

The invention discloses a hyper-spectral classification method based on low-order mutual information and spectral context band selection, and mainly aims to solve the problem that the computational complexity is high and the classification performance is poor for hyper-spectral image classification in the prior art. The implementation scheme comprises the following steps: first, automatically removing noise bands based on context priori information between neighborhoods of spectral bands of hyper-spectral images; second, selecting a band subset with low redundancy and high information content from a band set obtained after removal of the noise bands by a sequence forward search method according to self information of a maximum single band and regularization mutual information between a minimum band and other bands; and finally, performing object classification by using the selected bands. By adopting the method of the invention, a high-accuracy high-efficiency result of hyper-spectral image classification can be obtained. The method can be used for object distinguishing and identifying in soil survey, urban environment monitoring, disaster evaluation and other fields.

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 discloses an SAR image fusion method based on a multi-scale geometric analysis tool and belongs to the field of image processing technology; and the method mainly solves the problems that the prior fusion method has phenomenon of fuzzy and massive detailed compositions. The method is realized through the following steps: (1) two source images are subjected to image fusion respectively based on wavelet transformation to obtain a fusion result img_wave; (2) the two source images are subjected to image fusion based on Contourlet conversion to obtain a fusion result img_cont; (3) information entropy, average gradient and standard deviation of the two fusion results img_wave and img_cont are calculated respectively; (4) the information entropy, average gradient and standard deviation of the image fusion result img_wave based on wavelet transformation and the information entropy, average gradient and standard deviation of the image fusion result img_cont based on Contourlet conversion are compared so as to judge the quality of the fusion results; and (5) according to a judgment result, secondary fusion is selected. The SAR image fusion method improves the information content of the fused image, ensures the definition of the image and can be used for fusion of an SAR image, a natural image and a medical image.

The invention provides an operation and maintenance method and system for cables in a comprehensive wiring system. The operation and maintenance method comprises the steps that a two-dimension code is generated based on an unique identification code of each cable; the two-dimension code of each cable and information, stored in a database in advance, of the cable are associated; when operation and maintenance are conducted on each cable, the information, corresponding to the cable, in the database is updated. According to the technical scheme, during operation and maintenance, the cables can be conveniently searched for and positioned, information content, capable of being inquired, of the cables can be increased, seamless replacement of the cables can be achieved, and cable replacement efficiency is improved.

The present invention discloses a unidirectional optical path data importing apparatus based on data image encoding and decoding technique which can automatically, unidirectionally and safely transmit data of external network to the internal network. The invention are achieved by the following technical solutions, the device includes an exterior network terminal, a display, an image acquisition apparatus and an internal network terminal, wherein, the external network terminal is connected to the display through data lines, the image acquisition apparatus is connected to the internal network terminal through data lines, and the display is provided adjacent to the image acquisition apparatus; the exterior network terminal contains a data management module, a data image coding module and an image display module; the internal network terminal includes a video capturing module, an image processing module, a data image decoding module, a verifying and error correction module, and a data frame assembling module. The device has advantages of simple hardware structure, low cost, intuition to inform users whether it is isolated or unidirectional, easy application and significant social and economic benefits.

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.

The invention relates to a search result display method and device, equipment and a medium. The search result display method comprises the steps: receiving a search term, wherein the search term corresponds to a plurality of search intentions; displaying a target search result related to each search intention in a search result page in different regions, wherein the target search result comprises key information representing the search intention and target multimedia content corresponding to the key information. According to the embodiment of the invention, a user can simultaneously see the target search results of a plurality of search intentions in the search result page, so that the information content of the search result page is improved. Moreover, the target multimedia contents of the same search intention are displayed in the same area in the search result page, so that the user can continuously consume the search result corresponding to a certain search intention, and the search result screening efficiency and the consumption efficiency are improved.

The invention relates to a method for producing a localized warning of dangerous situations for vehicles, wherein each vehicle participating in the procedure has a means for exchanging information, a means for transmitting warning signals, and a means for determining the location coordinates of the individual vehicle. The means for transmitting a warning signal is activated by a first vehicle and the location of the first vehicle as the first piece of information, and the activated warning signal as the second piece of information, are transmitted by the means for exchanging information to the surrounding vehicles. Using the means for exchanging information, at least one additional vehicle receives the pieces of information, and the first piece of information is compared with an additional piece of information about the location of the additional vehicle and evaluated. In the case of a dangerous situation for the additional vehicle, appropriate measures are initiated in the additional vehicle for minimizing the dangerous situation.

The invention discloses a cross talk notice method, which is applied in cross talk notice to a communication terminal by a cross talk notice system. The method adopts the following steps: when the call from a calling terminal to a called terminal fails, a switching center transfers and continues the call to the cross talk notice system for processing; the cross talk notice system inquires the information of the calling region according to the calling terminal number of the call; the cross talk notice system generates the cross talk notice message containing the calling region information and sends the message the called terminal. Accordingly, the invention also discloses a cross talk notice system. The cross talk notice message containing the calling terminal region information is provided for the communication terminal when the cross talk occurs at the communication terminal through the method.