164results about How to "Improve persuasiveness" patented technology

The invention relates to a house position display system, a house position display method, a house position display data generation system and a house position display data generation method. By means of the house position display system and the house position display method, house position display information is associated to corresponding house information, and positions of built houses or even unbuilt houses can be displayed indoor by the aid of modes of pictures, panorama images, video images or virtual scenes, so that vivid and visual house experience is provided for house buyers. Correspondingly, by means of the house position display data generation system and the house position display data generation method, display data can be generated in batches, and data generation efficiency is high. Therefore, the house position display system and the house position display method are particularly suitable for housing communities with large house information amount for sales presentations.

The invention provides a power transmission and transformation equipment maintenance priority ordering method based on a maintenance risk premium. The method comprises the following steps of acquiring information of power transmission and transformation equipment, collecting and analyzing environment information, system information and equipment information of equipment required in an equipment risk source identification step and an equipment risk evaluation step; identifying a power transmission and transformation equipment risk source, performing identification and classified quantization on uncertain factors and safety hazards in the equipment by means of the information which is acquired in the information acquisition step, establishing an equipment operation stopping model; performing equipment fault result severity evaluation, performing topology analysis and trend calculation on a power grid according to an equipment operation stopping condition and fault probability of each set of operation equipment, simulating a power grid operation scene, and evaluating comprehensive result severity of the power grid after the fault of the equipment; and performing equipment maintenance ordering based on the maintenance risk premium for setting an equipment maintenance priority ordering problem on the condition of limited maintenance resource, and supplying theoretical and technological supports for maintenance arrangement. The power transmission and transformation equipment maintenance priority belongs to the field of power transmission and transformation equipment maintenance.

The invention relates to a flight delay conformance analysis and forecast system based on SOA and an operation method thereof, and belongs to the technical field of civil aviation. The flight delay conformance analysis and forecast system based on the SOA comprises an airport data acquisition front-end processor, a database server, an application server, a graphic server, a Web service calculation server, client equipment and a network communication system. The operation method comprises the following steps that: the application server acquires airport real-time operation data through the airport data acquisition front-end processor; after the airport real-time operation data is converted into forecast data in XML format, the forecast data is transmitted to the Web service calculation server for processing; the generated forecast result is transmitted back to the application server; after weighted processing, the forecast result is generated into a comprehensive forecast result and stores the comprehensive forecast result into the database server to generate delay forecast information with a proper format in a cooperation mode; and the delay forecast information returns to corresponding forecast display clients. The system and the method have excellent openness and interoperability, and provide effective flight large-scale delay conformance analysis and prewarning functions for the civil aviation airport and aviation companies.

The invention discloses a transformer area line loss abnormity associated user accurate positioning method based on data mining. The method comprises the steps: acquiring a given abnormal transformerarea line loss rate; carrying out the K-means clustering; establishing a transformer area line loss rate standard library and an abnormal library; determining an abnormal time period; preprocessing the power consumption data to obtain user electric quantity with research significance; calculating pearson coefficients of the electric quantity and the line loss rate of each user in the abnormal timeperiod respectively; carrying out preliminary screening by utilizing a set threshold value to obtain a user electric quantity set which is greatly associated with the line loss abnormity; respectively calculating the improved Euclidean distance between each user electric quantity curve and the line loss rate curve in the set; and based on the similarity measurement of the weighted Pearson coefficient and the Euclidean distance, calculating a weight coefficient of the Pearson coefficient and the Euclidean distance, and accurately positioning all abnormal users. According to the method, the relevance between the user electric quantity and the line loss rate of the transformer area in a single scene is considered, and the historical data analysis of the specific transformer area is combined,so that the rapidity and accuracy of accurate positioning are improved.

The invention relates to a method for diagnosing an injection valve (5), wherein in an overrun fuel cut-off phase the fuel supply to the fuel rail (4) is closed, and after the fuel supply has been closed off a first fuel pressure in the fuel rail (4) is measured, and after the first measurement of the fuel pressure an injection valve (5) is actuated for a test injection, after the test injection a second fuel pressure in the fuel rail (4) is measured, a differential pressure value (Delta P) is formed from the first and second measured fuel pressures and a difference of an operating parameter from a reference parameter is determined from the differential pressure value (Delta P), and when a previously defined maximum difference is exceeded the injection valve (5) is detected as being defective. The invention also relates to a device for diagnosing an injection valve (5).

The invention provides a social information based user attribute prediction method and system, which can predict a real identity attribute of a user according to a social group in which the user joins. The social information based user attribute prediction method includes: data acquisition, text analysis, social group analysis and user attribute prediction; acquiring nationwide school names and major names, constructing a prior knowledge base, extracting major/school short name features, using a classifier to predict short names, and perfecting the prior knowledge base; analyzing social groups on the basis of keyword matching, and describing a user education background; calculating valuable information for prediction provided by each group according to experience and a 3 sigma principle; considering differences of each groups, screening a corresponding social group according to the fact if there is class and grade group information in the group in which the user joins, estimating information provided by each group, and predicting the user attribute through weighting calculation. The social information based user attribute prediction method and system can be used for detecting the authenticity of the user attribute, can be used for detecting user social information, and can perform message accurate pushing and friend recommendation according to the predicted user attribute.

The invention discloses a writing scoring and error correction method and an interactive system, which are used for scoring and error correction of written characters in a copybook. The system transmits a copybook image by collecting the copybook image, and carrys out image processing on the acquired image, and calculates a minimum rectangular frame and a centroid of each character after segmentation; compares with relevant characteristics of standard characters, performs operations such as scaling and translation on written characters, compares the adjusted characters with the standard characters, calculates a character similarity ratio, and finally calculates the score of each character by combining the similarity ratio, the size ratio and the deviation ratio. Meanwhile, a single character is segmented, a small area is scored, a specific wrong stroke is pointed out, and a correct writing method is given. According to the method, the problems of guidance and interaction deficiency inwriting practice and scoring systems are solved, and the method has the advantages in the aspects of clarity, guidance, interactivity and the like of scoring rules.

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 an anti-counterfeit method of a mobile intelligent terminal. The method comprises a step of starting a mobile intelligent terminal and entering into a normal boot front stage, a step of reading the MAC address and SN of a Bluetooth device or a wireless network card, a step of comparing the read MAC address and SN of the Bluetooth device or the wireless network card with codes of a manufacturer set in the software codes of a mobile intelligent terminal operation system and judging whether the MAC address and SN are in a number segment and whether the SN is in accordance with a manufacturer defined validation rule, if so, entering into the later stage of normal boot, if not, displaying an authentication result and automatically ending the normal operation of a mobile intelligent terminal system, or starting a program which seriously interfere in the normal operation of the mobile intelligent terminal system, so the hardware is automatically identified to bundle software and hardware through mobile intelligent terminal software, and an anti-counterfeit purpose is achieved.

The invention relates to a prediction method of tight sandstone reservoir pressure. The prediction method comprises the following steps: comprehensively comparing an interval transit time well log, aresistivity well log, a density well log and a compensated neutron well log of a single well, and according to the synchronous change trend segment of the interval transit time well log, the resistivity well log, the density well log and the compensated neutron well log, determining the normal compaction segment of a stratum; using the interval transit time well logs corresponding to the normal compaction segments of multiple wells in the same region to establish a comprehensive normal compaction trend line equation; and obtaining an equivalent depth He according to the comprehensive normal compaction trend line equation, and then substituting into a calculation formula of an equivalent depth method to obtain the stratum pressure of a target point. By comprehensively comparing the synchronous change trend of the well logs, the normal compaction segment with high reliability can be determined. The comprehensive normal compaction trend line equation established based on the method has higher credibility and persuasion, thereby greatly reducing the error of predicting the stratum pressure by using the equivalent depth method.

A distribution network investment decision analysis model based on an improved Topsis method relates to the field of distribution network investment benefit. The distribution network connects the mainnetwork of the power grid with the electric power users, and undertakes the important task of supplying and distributing electric energy. With the growth of power demand, the scale of distribution network investment is increasing day by day, and the lack of research on distribution network investment benefit evaluation has become a short board affecting the overall development of the power grid.The invention summarizes the present situation and problems of distribution network investment, the factors influencing the investment benefit of distribution network are identified by fishbone diagram, construct the evaluation index system of investment benefit, Combined degree of closeness including hamming closeness, european closeness and grey relational degree is introduced to improve the simplicity of european distance of traditional topsis method, and to strengthen the evaluation results, which can help investors to evaluate the quality of samples more effectively, and provide more powerful theoretical support for the choice of distribution network schemes with similar investment benefits.

Embodiments of the present application provide a method and a device for quantitatively detecting a human skin condition parameter and an intelligent terminal. The method includes: acquiring a face image; capturing an image of a region corresponding to a to-be-detected skin parameter in the face image, and recording the image as an original image; performing image processing on the original imageto obtain a binary image, whrein the image processing includes a binarization process; detecting all black pixel blocks corresponding to the skin parameter in the binary image, as a set of valid blocks; and determining the level of the skin parameter according to the set of valid blocks. Through the above technical solutions, the embodiments of the present application can more clearly and more specifically give the severity of the facial skin parameter to be detected, enhance the persuasiveness of the detection results, and improve the user experience.

Embodiments of the application provide a method for dynamic presentation of an image. The image comprises a user head portrait. The method comprises receiving user's input information, detecting a key character in the input information when a user input is completed, extracting image data matching the key character from a preset database, and adopting the image data to replace the user head portrait. According to the application, the user head portrait is dynamically changed according to a user input content, so the problem that presentation of an existing image or animation as the user head portrait is rigid and single is solved, and presentation forms of the user head portrait is more diverse; and the dynamically changed image data as the user head portrait matches the information content input by a user, so expressiveness and persuasiveness of the graphic and text information are enhanced, and a communication product adopting head portrait identification is more emotional.

The invention relates to the field of engineering model tests, and discloses a device for simulating a coupling effect of a foundation pit excavation stress field and an underground water seepage field. The device comprises a model case, a rainfall device, a water supply tank, two variable waterhead cases and a foundation pit excavation model box located in the model case, a displacement sensor isarranged on the foundation pit excavation model box, soil pressure sensor and water pressure sensors are arranged around the foundation pit excavation model box, a pressure measuring hole is formed in the model case, the pressure measuring hole is connected with a water pressure data collection device through the water pressure sensors, a drip hole is formed in the bottom of the rainfall device,a water pump is arranged in the water supply tank, the water pump is connected with the rainfall device through a rainfall conduit, and the bottom of the variable waterhead case is respectively connected with the water supply tank and the model case through a water supply tank connecting pipe and a model case connecting pipe. The device disclosed by the invention can simulate the mutual influenceof the stress field and the seepage field in an foundation pit excavation process under different underground water feeding conditions, and realizes the measurement of an underground water flow fieldand foundation pit settlement under different foundation pit excavation working conditions by the same experimental device.

The invention belongs to the technical field of design of biology laboratory equipment, and in particular discloses a biological culture dish, comprising a round culture dish, wherein an azimuth marker is arranged on the upper wall of the culture dish; a circular ring-shaped connecting disk is arranged in the center of circle of the culture dish, a plurality of grooves are arranged uniformly inward on the circumference of the connecting disk, and an annular truncated cone with the same center of circle is arranged above the center of the connecting disk; the grooves are matched with a clamping piece arranged on one end side of a division plate to clamp the division plate onto the connecting disk; the division plate is strip-shaped and is composed of solid slats at the upper part and comb teeth uniformly and transversely arranged at the lower part of the slats, and through slots are formed between adjacent comb teeth; the clamping piece is arranged at the connection part between the slats and comb teeth; and the culture dish, connecting disk and division plate are all separately designed. The biological culture dish is mainly suitable for culturing microbes or animal and vegetable tissues and other bacteria in biology laboratory.

The invention discloses an interpretable commodity recommendation method based on fine-grained data. The method aims to overcome the problems that in the prior art, the commodity comment content is insufficiently utilized, the interpretability is weak, and the effect of a user on commodity recommendation is not fully utilized due to the emotional tendency displayed in comments. The method comprises the steps that 1, fine-grained data of the user on the commodity comments are obtained through a data processing module; 2, a recommendation chain establishing module generates a recommendation chain of the to-be-recommended commodity for the target user according to the fine-grained data; and 3, the recommendation sequence is interpreted by the recommendation generation module according to therecommendation chain.

The embodiment of the invention relates to the technical field of data processing, in particular to a bank service monitoring method and device, which are used for comprehensively considering multi-dimensional attributes of services and improving the monitoring accuracy and persuasion. The method provided by the embodiment of the invention comprises the following steps: determining a service labelof a monitored service and values of a plurality of service attributes of the monitored service according to transaction data of the monitored service; aiming at any service attribute in the plurality of service attributes of the monitored service, taking the service attribute as a pixel point, and generating a service portrait of the monitored service, wherein the value of one pixel point of theservice portrait is equal to the value of the corresponding service attribute; inputting the service portrait of the monitored service into the convolutional neural network model to obtain probability distribution of the monitored service belonging to different service types, wherein the convolutional neural network model is obtained through training according to historical transaction data; andcomparing the service type with the maximum probability with the service label of the monitored service, and judging the monitored service.

Disclosed is a lock usage mode automatic static analysis system. The lock usage mode automatic static analysis system is run in an LLVM (low level virtual machine) analysis framework, and comprises an intermediate code compiler, a support engine and a lock analyzer, wherein the intermediate code compiler is used to compile and link a source code of a target program into an LLVM intermediate code of a single file, the support engine is used to provide support service to the lock analyzer according to the LLVM intermediate code, and the lock analyzer separately analyzes all functions in the target program according to the support service provided by the support engine, collects program language performance data relative to a lock, identifies each lock mode used in a lock sensitivity function, classifies the identified modes according to characteristics of common lock modes, and simultaneously counts occurrence times of the various common lock modes. The lock usage mode automatic static analysis system can identify different lock variables and different lock modes under a low analysis overhead condition, and then discovers a general rule of lock usage through the data, and furthermore provides suggestions to improvement of an analysis tool and concurrent program compiling of a programmer.

The invention discloses an eye movement desensitization reprocessing intervention system and method. The system comprises a first acquisition unit, a second acquisition unit, a desensitization unit and an implantation unit, the first acquisition unit is used for acquiring physiological index data of a user, the second acquisition unit is used for acquiring eye movement information of the user, thedesensitization unit is used for providing an eye movement operation instruction, judging whether operation of the user meets eye movement operation requirements or not according to the eye movementoperation instruction, receiving feedback of the user on a preset problem and judging completing of desensitization when negative memory evaluation of feedback information is lower than the requirements, the implantation unit is used for receiving feedback of the user on the preset problem and judging completing of desensitization when positive memory evaluation of the feedback information reachesa highest value. The system and method can solve the problem that a traditional EMDR (eye movement desensitization reprocessing) treatment method difficultly accurately judges treatment effects.

The invention discloses a continuous feature automatic binning algorithm based on similarity combination. The algorithm comprises modeling data, decision tree initial binning, 100 equal frequency binning, linear trend judgment, trend + ChiMerge binning, IV, correlation and the like, and a final scoring card model is obtained. According to the algorithm, the whole process is realized by using python; the time consumption and the information loss in the process of obtaining the segmentation point conforming to monotonicity are greatly reduced; meanwhile, the intervention of analysts on the sub-boxes is reduced; The stability of the model is well tested, the subjective influence of an analyst on trend judgment is weakened through the algorithm that box merging is conducted according to the trend of the data, the default monotonicity presented by a box separation result is better supported by modeling data, the persuasion of box separation is enhanced, and the expression capacity of variables is improved.

The invention belongs to the field of smart city evaluation, in particular to a smart city evaluation method based on an entropy weight method. The present invention analyzes the index sub-item data of each index item, constructs an evaluation model, and adopts the entropy weight as the quantitative weight of the smart city evaluation index in the way of combining the quantitative index and the entropy weight, and makes a decision on the degree of intelligence of the smart city. Accurate analysis avoids the influence of human subjective factors, makes the evaluation results more objective and persuasive, and greatly improves the objectivity and persuasiveness of the smart city evaluation results. The present invention can analyze and obtain the comprehensive ranking of the intelligence degree of each city and the main influencing factors affecting the development of each city's intelligence, thereby providing scientific guidance and reference for the advancement and development of each city's intelligence.