117results about How to "Objective analysis" patented technology

The invention discloses a multi-mode information fusion-based classroom learning state monitoring method and system. The method specifically comprises the following steps of: acquiring an indoor sceneimage and positioning faces in the scene image; estimating face orientation postures in a face region so as to estimate attentions of students according to the face orientation postures; estimating facial expressions in the face region; acquiring skin conduction signals of the students so as to estimating physiological activation degrees of the students according to the skin conduction signals; recording interactive answer frequencies and correctness of the students on the classroom so as to estimate participation degrees of the students; and fusing four-dimensional information such as attention, learning moods, the physiological activation degrees and the classroom participation degrees of the students so as to analyze classroom learning states of the students. The invention furthermoreprovides a system for realizing the method. By applying the method and system, the learning states of students on classrooms can be objectively and correctly monitored and analyzed in real time, so that the teaching process analysis is perfected and the teaching effect differentiation degree is enhanced.

The invention discloses a correlation analyzing method based on vehicle, road conditions and safe travel big data in a network of vehicles. The method comprises the following steps of data acquiring, data transmitting and storing, data de-noising, data analyzing, and data display and feedback. The data acquiring process is not limited to data of the vehicles, and it also includes data related to roads and surrounding vehicles. With data classification and storage, removal of abnormal values through de-noising, as well as multivariate linear regression fitting analysis, the correlations can be determined and sent back to the owner of a vehicle among the conditions for dangerous driving, vehicle's hardware state, road environments, surrounding vehicles and driving behaviors. The analyzing method provided by the invention can enable drivers to learn about their driving behaviors and their vehicles' states. For the instant replacement of parts with potential to bring danger and the rectification of bad driving behaviors, the purposes can be achieved including energy reduction, vehicle lifetime extending, and safe driving.

The invention discloses a method for measuring the stability and imaging indexes of a nuclear magnetic resonance imaging device and is characterized in that: the images of a water phantom are obtained by adopting the nuclear magnetic resonance imaging device to scan the water phantom, the images are transmitted to a specific nuclear magnetic resonance imaging quality assurance and analysis work station by a DICOM protocol, and then the quality assurance and analysis work station is self started and enters a corresponding measurement process (referring to the figure 1 in the abstract of the process) according to DICOM control elements so as to process and calculate the images of the water phantom; the measuring content includes common nuclear magnetic resonance imaging quality assurance indexes, the shifting indexes which have important significance to Functional MRI, and other indexes; meanwhile, an automatic early warning mechanism is established for auto prompting when an abnormal condition occurs and gives the possible reason, and all measured results are sent into a database for long-term analysis of data and evaluation of running state of the device, so as to offer guidance to relevant technicians to master device state and carry out equipment testing.

A gear transmission multidisciplinary reliability analysis method considering cognition and random uncertainty in an actual engineering design process belongs to the technical field of design optimization and reliability design of mechanical products and includes quantizing the cognition and the random uncertainty of gear modules, tooth number, tooth surface width, distance between bearings and gear diameter caused by the factors of processing, assembly, material characteristics, applied load, external environment and the like, establishing multidisciplinary reliability integrated evaluation index, integrating of the reliability analysis method and a multidisciplinary design optimization strategy, decoupling of a multidisciplinary reliability analysis process, and being based on a functional measurement method. The gear transmission multidisciplinary reliability analysis method considering the cognition and the random uncertainty provides a comprehensive quantitative method, establishes the multidisciplinary reliability integrated evaluation index which is more conformable to engineering practice, integrates a traditional reliability analysis method and the multidisciplinary design optimization strategy, and provides a new thought for reliability analysis of gear transmission products.

The invention discloses an energy consumption monitoring method and an energy consumption monitoring system. The energy consumption monitoring method comprises the following steps: acquiring energy consumption data of energy consumption equipment; carrying out multidimensional analysis processing on the energy consumption data to generate a multidimensional data set cube; performing energy consumption analysis on the energy consumption equipment based on the energy consumption data in the multidimensional data set cube. The technical scheme of the invention provides the efficient energy consumption monitoring method and the efficient energy consumption monitoring system, which perform the multidimensional analysis processing on the energy consumption data, and provide a reasonable reference base for energy conservation and emission reduction.

The invention provides a personal character analysis method, a device and a computer readable storage medium. The method comprises the following steps of collecting sample videos and annotating character types; extracting the image features and audio features of each sample video, and combining to obtain the video features of each sample video; constructing a neural network using the Softmax classifier as an output layer; annotating and training the neural network based on video features and character types, optimizing training parameters, and obtaining a personal character analysis model; collecting a face video of an to-be-analyzed object for a predetermined duration; extracting the image features and the audio features of the video of the to-be-analyzed object, and combining to obtain the video features of the video of the to-be-analyzed object; inputting the of the video features of the video of the to-be-analyzed object into the personal character analysis model to obtain a probability value corresponding to each character type of the to-be-analyzed object; and adopting a character type with the largest probability value as the character type of the to-be-analyzed object. According to the invention, the personality of a person can be objectively analyzed.

The present invention is a three dimensional Cartesian coordinate system for the human body, having three perpendicular and intersecting planes. The present invention is based upon the use of the three cardinal planes, in the universally recognized orientations. The cardinal planes in accordance with the present invention are: Sagittal: midsagittal plane, Transverse: upper-most extent of the iliac crests, and Coronal: anterior-most aspect of the vertebral canal. The point at which these planes intersect defines the 0,0,0 location in the human body.

The invention discloses a multimode physiologic and behavioral data integration and collection system which comprises a background processor, a data collection unit and a data display unit. The background processor is integrated in a computer and used for receiving data collected by the data collection unit, the data collection unit comprises a physiologic collection module, a behavioral collection module and an environment collection module, the background processor comprises a data storage module, a time sequence module and a data analysis module, and the data storage module is in data connection with the physiologic collection module and the behavioral collection module and used for receiving collected physiologic data and behavioral data; the time sequence module is used for storing the collected physiologic data and behavioral data into the data storage module according to a time sequence, and the data analysis module is used for analyzing the physiologic data and the behavioral data in the data storage module to acquire an analysis result online. The collected physiologic and behavioral data different in mode are synchronously transmitted into the same background processor and synchronously integrated, so that cost of system equipment is reduced greatly, and improving of data integration analysis accuracy is facilitated.

The invention relates to a construction method of a social network fraud model, a fraud prevention method and a fraud prevention device. The method comprises the following steps: inputting social network information of a training object into a pre-constructed social network extraction model to obtain feature data of the social network information so as to construct a social network map corresponding to the social network information; identifying the social network map based on a preset community identification algorithm to obtain the number of communities corresponding to the social network map; obtaining historical behavior data of each community object in each community; determining whether the target community has fraud behaviors or not according to all historical behavior data in the target community; and if the target community has the fraud behavior, training a pre-constructed neural network model by utilizing all historical behavior data in the target community to obtain a social network fraud model so as to identify the fraud behavior of the target network information by utilizing the social network fraud model. The fraud behavior of the target network information can be quickly and accurately identified and predicted.

The invention provides a commodity information processing method and a commodity information processing system and relates to the technical field of networks. The method comprises the following steps: a first server receives participation requests of first users and commodity information of the first users; transaction information data of the first users is respectively acquired from a second server according to the participation requests of the first users; the second server records the transaction information data of the first users; the first users are grouped according to the transaction information data of the first users; and the commodity information of the first users in the same group is integrated. According to the commodity information processing method and the commodity information processing system, commodity information of commodity information delivery parties can be accurately and objectively grouped; waste of commodity information delivery resources is reduced and the delivery efficiency is improved; a lot of time for communication is saved for the commodity information delivery parties, and long-cycle commodity information integration time caused by the communication cycle is shortened; and the integration efficiency is high, and the cost of integration can be reduced.

The invention relates to a monoclonal antibody of anti-blue crab particle hemocyte 26.7kDa protein, and the monoclonal antibody is secreted by hybridoma cell of which the name is hybridoma cell strain Crab, the preservation number is CCTCC NO: C2012196, the preservation unit is China Typical Culture Preservation Center, and the preservation data is Jan 7th, 2013. The monoclonal antibody has a characteristic of being specifically combined with blue crab particle hemocyte 26.7kDa protein. The preparation method comprises the steps of: obtaining particle hemocyte by continuous density gradient centrifugation of Percoll medium; purifying the particle hemocyte 26.7kDa protein as antigen to immunize mice by electrophoresis rubber cutting and recycling; preparing hybridoma cells by a cell fusion method; screening out the monoclonal antibody of the anti-blue crab particle hemocyte 26.7kDa protein by an immunological detection method. The monoclonal antibody disclosed by the invention provides an important tool for researching functions of particle hemocyte in nonspecific immune response of blue crab and in other physiological function aspects.

The invention relates to the technical field of traditional Chinese medicine identification and particularly relates to a radix bupleuri capillary electrophoresis DNA (Deoxyribonucleic Acid) fingerprint spectrum and an identification method. The radix bupleuri capillary electrophoresis DNA fingerprint spectrum comprises extraction of DNA, PCR (Polymerase Chain Reaction) amplification, analysis of an amplified product, and establishment of the radix bupleuri capillary electrophoresis DNA fingerprint spectrum. The identification method of a radix bupleuri DNA fingerprint comprises the steps of: establishment of the radix bupleuri capillary electrophoresis DNA fingerprint spectrum, establishment of a sample DNA fingerprint spectrum and result identification by utilizing similarity software. The fingerprint spectrum and the identification method can be used for identifying a radix bupleuri sample. The fingerprint spectrum and the identification method can be used for carrying out authenticity identification on radix bupleuri from heredity essence; and the method is rapid, accurate and objective and can be used for identifying the radix bupleuri sample.

Belonging to the field of gene chips, the invention relates to a gene chip for detection of cerebrospinal fluid pathogens. The gene chip provided by the invention includes a substrate and probes, and the probes are fixed on the substrate. Specifically, the probes are nucleotide sequences as shown in SEQ ID NO.1-153, and the substrate is one of a glass slide, a silicon chip, a film and a high polymer material. The gene chip provided by the invention has the advantages of simple operation step, high detection specificity, good stability, short time and low cost, and can realize rapid, low cost, large flux and automatic detection of the species of pathogenic bacteria in cerebrospinal fluid samples of purulent meningitis patients, thus providing help for diagnosis of purulent meningitis.

The invention discloses a landform condition measurement method and device. The method comprises the following steps that: a measurement and calculation model about landform condition measurement is established; geographic national condition monitoring data are extracted and preprocessed; a target area is determined, the target area is divided to form a plurality of subareas, and according to the geographic national condition monitoring data, each index factor and parameter thereof in the measurement and calculation model of each subarea are calculated; and according to each index factor and the parameter thereof, a topographic and geomorphic condition measurement value of each subarea is calculated, wherein the topographic and geomorphic condition measurement value is used for evaluating livable degree of each subarea in the aspect of topographic and geomorphic conditions. The method can make full use of existing geographical condition monitoring data, and scientifically, objectively, efficiently and quantitatively analyze the relative conditions of landforms of all regions from the perspective of human production and life livability.

The invention discloses a thrust ball bearing optical interference linear oil film thickness detection method, aiming at the problem that an existing optical interference film thickness measuring method based on a ball disc cannot accurately reflect the thickness of an oil film in a bearing. The thrust ball bearing optical interference linear oil film thickness detection method comprises the stepsof: after a gap between a steel ball and a retainer is filled with lubricating grease, attaching a thrust ball bearing retainer steel ball assembly to a steel thrust ball bearing ring, so that a glass thrust ball bearing ring and the thrust ball bearing retainer steel ball assembly bear loads; then, shooting oil film light interference images between the steel ball in the thrust ball bearing retainer steel ball assembly and a raceway of the glass thrust ball bearing ring in rotating and rotation-stopping states of the glass thrust ball bearing ring by means of a microscope high-speed camera sequentially, and observing the shape of a second-phase grease pool; and finally, taking down the thrust ball bearing retainer steel ball assembly and the steel thrust ball bearing ring, shooting the morphology of grease whiskers in the raceway of the steel thrust ball bearing ring to obtain a grease whisker angle mean value. The thrust ball bearing optical interference linear oil film thickness detection method can analyze the oil film state and a backflow mechanism of base oil during actual operation of a bearing.

The invention relates to the technical field of safety production accident factor analysis, in particular to a method for systematically analyzing a relationship between the levels of multiple accident factors. The method comprises a step 1 of calculating the gray correlation degree between the overall accident factors; a step 2 of constructing a gray adjacency matrix; a step 3 of establishing a reachability matrix; a step 4 of dividing the reachability matrix into different levels; and a step 5 of drawing a hierarchical structure diagram.