45results about How to "Achieve objectification" patented technology

The invention discloses a Chinese composition automatic testing method and system. The method includes: step A: input the corpus of the composition text to be evaluated, and preprocess the corpus of the composition text to be evaluated; Extracting subject content features, organizational structure features, and language expression features; Step C: Calculate the extracted subject content features, organizational structure features, and language expression features with scoring equations to obtain automatic scoring results for Chinese compositions. The invention reduces the input of manpower and material resources in the large-scale Chinese composition proficiency test, and realizes the objectification of scoring.

The invention relates to the technical field of communication and data management, in particular to a refined management system. The refined management system comprises a server, a client side, a backstage management system and a front stage management system. The server comprises a refined management system web server and a system database server. A browser is installed on the client side. The front stage management system comprises an item establishing module, a data storage module, a data query module and a data export module. The backstage management system comprises a department management module, a role data management module, a user data management module, an application field setting module, an event log management module and a work target management module. The refined management system can accord with requirements for management of various item files of enterprises and governmental agencies, accord with requirements for data processing in items, and achieve objectification and refined management. Processing requirements of data can be processed by the whole system according to strategies under different conditions, requirements of different working people can be met, and dynamic operation and management of the whole system can be guaranteed.

The invention provides a method for detecting a deep sand body of a low-resistance coverage area. The method comprises the following steps of in a uranium metallogenesis prospective area, arranging measuring lines according to an outstanding tectonic direction, wherein the number of drilling holes is higher than or equal with 1, at least one measuring line passes through one known drilling hole, and performing measuring point positioning by means of high-precision GPS and a forest compass; performing wide-frequency magnetotelluric method measurement by means of a continuous tensor observing device according to a platform type electrode arranging method; performing impedance calculation on the acquired data, obtaining visual resistivity and phase information, performing two-dimensional datainversion, drawing an inversion resistivity section view according to an inversion result; according to a known drilling hole exposure result, performing fine layering on the inversion resistivity section view, and extracting an electric characteristic of the sand-containing sand body; and according to the electric characteristic of the sand body, predicating the distribution range of the deep sand body by means of artificial intelligence technology such as neural network method. The method settles problems such as low depth measuring resolution and high sand body identification difficulty inthe low-resistance coverage area, and realizes an excellent effect in sand body prediction.

The invention relates to a wearable digital pulse diagnosis instrument comprising three paths of pulse feeling assemblies and a processing device, each path of pulse feeling assembly comprises a micro pump, a micro valve, an air bag, an air pressure sensor and a pulse sensor, and the processing device is connected with the micro pump, the micro valve, the air pressure sensor and the pulse sensor of each path of pulse feeling assembly. The micro pumps, the micro valves and the air pressure sensors of all the pulse feeling assemblies are communicated with the air bags, the pulse sensors are fixed to the air bags, the air bags of all the pulse feeling assemblies are used for being worn on different parts of the wrist in the length direction, all the micro pumps inflate all the air bags, and the pulse sensors are pressed on the wrist through the air bags. The air pressure sensors feed back the pressure levels to the processing device in real time, the processing device controls and adjusts the pressure by controlling the micro pumps and the micro valves according to the feedback, and the pulse of each path is measured through each pulse sensor. According to the pulse diagnosis instrument, independent controllable pressurization and independent pulse measurement of Cun, Guan and Chi can be achieved at the same time, digital pulse diagnosis is achieved, and the instrument is small in size and wearable.

The invention relates to a traditional Chinese medicine face diagnose synthetic system based on a multidimensional medical image. The system comprises a face diagnose image collection module, a natural light simulation human face image processing module, a face infrared thermal imagery processing module, a face photoplethysmogra processing module, a retrieval and match module and a system main interface, wherein the natural light simulation human face image processing module, the face infrared thermal imagery processing module and the face photoplethysmogra processing module are all connected to the face diagnose image collection module and the retrieval and match module respectively, and the retrieval and match module is in communication connection to the system main interface. The traditional Chinese medicine face diagnose synthetic system based on the multidimensional medical image not only achieves characteristic information analysis of a human face entirety and a sub area on the condition of natural light simulation, but also achieves auxiliary diagnosis of characteristic information of face thermal state temperature data, face blood-flow volume and the like, and finally conducts comprehensive diagnosis according to traditional Chinese medicine clinical experience to obtain a more precise and objective qualitative diagnosis result and achieve standardization and objectification of traditional Chinese medicine face diagnose.

The invention relates to the quick-installed portable road environment integral monitoring system and a monitoring method; the monitoring system comprises a video monitoring system, a sensor monitoring system, a data processing system and a remote transmission system integrated in an integral housing; the video monitoring system, the sensor monitoring system, the data processing system and the remote transmission system are integrated in the integral housing; the integral housing is fast installed through a vehicle luggage carrier; the monitoring system can move and monitor in a special channel area along the vehicle, uses the video and sensor monitoring systems to monitor various monitored targets in the road environment; the data processing system processes and parses the data, and uploads the monitoring data through the remote transmission system, thus providing direct and objective road environment monitoring conditions for many places like government related departments, and solving the installation and vehicle modification problems existing in the road environment integral monitoring process in the prior art.

The invention discloses an American ginseng quality identification assistant based on a Wechat mini program and a deep learning technology. The assistance includes a mobile device in which a Wechat client side is installed, an American ginseng quality identification assistant mini program terminal and a cloud-side server analysis platform; the mobile device uses the Wechat client side through network connection, a two-dimensional bar code is scanned to load and run the American ginseng quality identification assistant mini program terminal, the American ginseng quality identification assistantmini program terminal calls a camera of the mobile device to take a picture of a to-be-identified American ginseng sample and uploads the picture to the cloud-side server analysis platform, the cloud-side server analysis platform adopts an American ginseng quality identification deep learning neural network model for conducting level identification on the picture of the to-be-identified Americanginseng sample, feeds back an identification result to a mobile terminal and displays an analysis result on the American ginseng quality identification assistant mini program terminal. By means of theAmerican ginseng quality identification assistant, convenient, fast and objective identification of the quality of American ginseng is achieved, and the problem that unprofessional purchasing groupshave no tools to use and no bases to rely on when purchasing medicine is solved.

The invention relates to a method for quickly scanning and detecting the appearance and the quality of an emulsion-type sausage food product based on machine vision. The method includes inputting an acquired image of the emulsion-type sausage food product into a computer at first and processing the image; preliminarily determining a sausage location area in the image; determining coordinates of a left binding endpoint and a right binding endpoint of a sausage; and carrying out equal-interval and short-interval scanning for feature points of the upper lateral edge and the lower lateral edge of the sausage to obtain edge feature points of two sides of the sausage and coordinate values of the edge feature points, and acquiring the appearance and the quality of the sausage. The method can be used for quickly scanning large quantities of images of emulsion-type sausage food products, accordingly, data processing workload is greatly reduced, standardized and objectified quality detection for the products can be realized, detection efficiency also can be greatly improved, large quantities of labor resources and costs are saved, and application of intelligent image detection technology to appearance and quality detection for the sausage food products is certainly promoted.

The invention discloses a data center full-life-cycle comprehensive service test process supervision system which belongs to the field of construction supervision. The system comprises a test verification module, a project implementation module and a supervision module, the test verification module is used for realizing the following processes: a starting stage, a drawing verification stage, a field reconnaissance stage, a preparation stage before field test, a field test stage and a service report compilation stage, service demand analysis is carried out through each stage, and online platform support is carried out for proper content; the project implementation module is used for testing in the implementation process and evaluating implementation completion; the supervision module is used for progress real-time state updating and progress tracking brief report. By collecting and analyzing historical data in the data center construction process and the data center operation process, objective and datamation evaluation of the platform on all the data centers can be achieved, data traceability is achieved, the project information collection efficiency is improved, meanwhile, the phenomena of data tampering and the like can be avoided, and the service capacity is improved.

The invention discloses a pulse condition classification method based on salient signal sub-segment extraction, and the method comprises the steps: S1, collecting pulse signals, carrying out the preprocessing, and obtaining c pulse signal training samples; s2, positioning a significant pulse signal sub-segment position indication vector; s3, constructing a multi-modal distance feature vector; andS4, classifying the pulse signals by adopting a nearest neighbor classifier to finish pulse condition classification based on significant signal sub-segment extraction. According to the pulse condition classification method, periodic segmentation does not need to be conducted on the pulse signals, the sub-segments with distinguishing force are extracted from the pulse signals, information redundancy is avoided, and the subsequent calculation process can be accelerated. Characteristic information complementation can be achieved by constructing the multi-modal distance characteristic vectors ofthe signal subsections, pulse signal classification accuracy can be improved, automatic pulse condition recognition is achieved, auxiliary decisions are provided for pulse diagnosis of doctors, and the extracted pulse signal subsections can provide interpretable results for further clinical analysis.

The invention relates to a length control method of a metal powder rolled raw plate blank top crop, belonging to the technical field of metal powder rolling technology. The invention utilizes the general traditional rolling equipment to improve and assemble to obtain rolling equipment provided with a rolling electric pressure sensing system device. The invention utilizes the electric pressure sensing system device to measure pressure variation of metal powder in a roller mill in the rolling process and obtains time experienced by rolling pressure to be stable by recording variation tendency orvariation curve of pressure along with time in the rolling process, and the time multiplies by roller rotating speed to obtain the length of the metal powder rolled raw plate blank top crop. The invention has the advantages of energy saving and raw material saving and is favorable for improving product quality. The method of the invention can realize objectification and scientificity of judging atop crop length index in the technological process and is favorable for realizing process optimization.

The invention discloses a device and method for urine feature digital acquisition in Tibetan medicine. The device comprises a hollow cuboid case, wherein a first light source and a second light sourceare arranged at the edge parts of the tops of two parallel side surfaces of an inner cavity of the case; a third light source is arranged on the other side edge of the case; a first camera is arranged on the side edge parallel to the side edge provided with the third light source; a second camera, a third camera and a fourth camera in sequential arrangement are arranged at the top surface of theinner cavity of the case; a urine container is arranged in the middle position of the bottom of the inner cavity of the case. The method comprises the steps of putting the container filled with urineinto the right center of the bottom of the case; shooting the steam, color and foam features at the hot urine stage; shooting the precipitate and suspended matter features at the warm urine stage; shooting the stirred whirly state features at the cool urine stage; transmitting shot images/videos to a PC through a USB. The recognition efficiency can be improved; the urine feature recognition objectification can be realized.

The invention relates to a method for establishing a fermented milk color sensory quality control model, and belongs to the field of foods. The method is characterized in that according to the CIELABchromaticity space principle, a color difference instrument technology is adopted, qualified products and unqualified products of six key nodes in the fermented milk production process serve as research carriers, and a color sensory quality control model of the fermented milk is designed and established. Correlation analysis is carried out on chromatic aberration instrument detection data and artificial sensory evaluation results of the fermented milk of the qualified sample and the unqualified sample, and an L value and a b value are selected as a sample set; an Xbar-S-chart mean value-standard deviation control chart principle in a Hugh Hart control chart is utilized to determine specific modeling parameters, and a corresponding optimal product area, a corresponding qualified product area and a corresponding unqualified product area are calibrated. Through model verification, the judgment accuracy of the control chart model on the color sensory quality of six key node products in thefermented milk production process is 97.5%-100%.

The invention discloses an hour resolution rainfall process identification method which comprises the following steps of 1, an identification method; and 2, an intensity quantitative calculation method, namely a calculation method based on the combined action of three indexes, namely rainfall intensity, duration and coverage, of rainfall process intensity, The provided hour resolution rainfall process identification method has the advantages that the starting and ending conditions of the station, large area and small area rainfall processes are defined; the method is suitable for the intensity quantitative calculation of the hourly resolution rainfall processes of the stations and the areas in China, the accuracy is high, the test and demonstration display results are consistent with the real conditions, the practicability is realized, and the pertinence and the service benefits of the meteorological services are improved; the method provided by the invention solves the difficult problem of identifying the rainfall process from the hour resolution, which accords with the reality and is suitable for China.

The invention relates to a method for obtaining a standard scraping therapy skill, and belongs to the field of traditional Chinese medicine informatization. The method for obtaining the standard scraping therapy skill comprises the steps of collecting pressure data of fingers to scraping therapy plates during the scraping therapy conducted by several scraping therapy experts, adopting a consistent information fusion algorithm to obtain a fusion value of pressure of each scraping therapy expert scraping therapy skill, and adopting a genetic algorithm to obtain a change interval of the pressure of the standard scraping therapy skill. According to the method for obtaining the standard scraping therapy skill, a pressure sensor is adopted to precisely measure the pressure exerted by the scraping therapy experts in the scraping therapy process and the pressure distribution, the scraping therapy data of the multiple scraping therapy experts is subjected to statistics, the fusion value of the pressure and the change interval of the pressure of the standard scraping therapy skill are obtained through the consistent information fusion algorithm and the genetic algorithm, objectified, standardized and normalized quantitative research of the scraping therapy is achieved, a systematic guide role can be played in clinic, and technical support is provided for achievement of digitization and automation of the scraping therapy.

The invention discloses a bid evaluation qualification auditing system based on bid inviting requirements and verification proof. The bid evaluation qualification auditing system comprises a qualification requirement structuring module used for creating a qualification requirement template; a material importing and analyzing module used for importing and analyzing bid files and qualification verification proof materials and importing data structured storage into the analyzing module; a bid evaluation basic parameter configuration module used for importing the evaluation basic data and settingan evaluation range and bid evaluation requirement parameters; a data comparison module used for comparing the bidding file with the qualification requirement template; a qualification supplementing module used for supplementing bidding file data which do not meet qualification requirements; a negative packet screening module used for screening negative packets. By extracting and structuring the bidding file and the qualification verification proving material, creating a qualification requirement template, comparing the qualification requirement template with structured bidding data, and manually monitoring and supplementing by experts, the purposes of improving the quality and efficiency of bid evaluation work, realizing the automation and objectification of the qualification performanceevaluation work of the bidder and saving the bid evaluation cost are achieved.