36results about How to "Guaranteed objectivity" patented technology

The invention discloses a criminal case aid decision making method based on a fuzzy deep belief network. The method comprises steps of: establishing a vector model describing a case according to a legal document and a measurement of penalty method; establishing an appropriate deep neural network structure according to the complexity of a judged problem; optimizing a model parameter by using supervised and unsupervised learning methods in virtue of a known plus or minus judgment relation; and performing modeling by using the neural network and predicting the judgment result of a judge. The method can guarantee the objectivity and the fairness of case trial and improves trial efficiency.

The invention aims at providing a fine partition method of soil pollutant content spatial distribution. The fine partition method of the soil pollutant content spatial distribution solves the problem that an existing spatial interpolation method cannot achieve fine partition of soil pollutant distribution due to the problem of interpolation transboundary. The fine partition method uses a spatial relation between the soil pollutant content distribution and a pollution source as a reference, extracts a constraint region, builds a boundary constraint space interpolation algorithm based on the constraint region, enables spatial interpolation to be restrained in a reliable space region, and achieves the fine partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution has the advantages of extracting the pollution source influence range serving as a boundary constraint condition, restraining spatial interpolation of unknown sites in the reliable space region, and achieving accuracy and reliability of partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution is suitable for digital map production of the pollutant content distribution of the fields of soil, zoology, hydrology and the like.

The invention provides a block chain-based good safety multi-interest subject credit evaluation method. According to the method, a Hyperledger block chain is taken as a bottom support technology of the credit evaluation method, multi-interest subjects (traders) on food supply chains and supervisors are endowed with different identity authorities, and the traders are endowed with identity anonymityand evaluation result publicity and transparency during the evaluation; and the supervisors collect evaluation information, for transactions, of the multi-interest subjects on the food supply chainsthrough intelligent contracts, carry emotion analysis on the fed back evaluation information by adoption of a deep learning algorithm long and short term memory (LSTM) model, and feed credit evaluation results back to both parties of the transactions. According to the method, the efficiency and correctness of traditional credit evaluation systems are improved and the effectiveness of food safety supervision is enhanced.

A first purpose of the present invention is to provide a fuzzy comprehensive evaluation method for safety risks of chemical hazards in a food. The method comprises the following steps: S1, detecting the content of each chemical hazardous substance in the food, determining the evaluation value of each chemical hazardous substance, and constructing an evaluation factor set; S2, establishing a comment set of fuzzy comprehensive evaluation: evaluating the food safety risk by taking the national limit standard MRL of food safety as an evaluation standard and adopting a zero / micro, low, medium, highand ultrahigh five-level scaling method; S3, taking the evaluation value of each chemical hazardous substance in step S1 as a calculation basis, and determining the weight of the multi-level risk factor by adopting an entropy algorithm, wherein the original detection data normalization method in the step S1 is revised by adopting a fixed coefficient method; and S4, calculating the safety risk comprehensive evaluation index FSI of the chemical hazard substances at all levels in the food by adopting a fuzzy comprehensive evaluation technology. The calculation method is objective and unified, and participation of subjective factors is effectively avoided.

The invention discloses a software product evaluation processing method and device, computer equipment and a storage medium. The method comprises the following steps: creating a target comment group based on an instant messaging tool, and obtaining target comment data and corresponding comment time; if the target comment data does not carry the task identifier, performing keyword extraction by adopting a keyword extraction algorithm to obtain a target keyword; according to the target keyword and the comment time, determining a question keyword; performing frequency statistics on the problem keywords in the comment statistics period corresponding to the current time of the system to obtain occurrence frequency; if the occurrence frequency is greater than a preset frequency threshold, determining a high-frequency keyword and a corresponding high-frequency problem; carrying out priority analysis on the high-frequency problem to obtain a target priority; and querying the comment response mechanism information table based on the target priority, obtaining a corresponding comment response mechanism, and performing response processing on the high-frequency problem based on the comment response mechanism. The method can improve the software product evaluation efficiency and reduce the cost.

The invention discloses a nondestructive testing method for a furnace body lining based on impact elastic waves. The nondestructive testing method for the furnace body lining based on the impact elastic waves comprises the following steps: (a) determining a measuring point position and an exciting position on the surface of a furnace body; (b) mounting a sensor at the measuring point position andan excitation device in the exciting position; starting the excitation device to excite and collecting vibration signals through the sensor; (c) analyzing the vibration signals and saving analysis conditions and an analysis result; (d) using the same excitation device, repeating the steps (b) to (c) in the same measuring point position and excitation position in the step (a) after a period of time, and using the same analysis conditions in the step (c) to perform analysis; (e) performing trend analysis on the analysis result obtained at different times to obtain change trends of the thicknessof the furnace body lining so as to judge the safety of the furnace body. The nondestructive testing method for the furnace body lining based on the impact elastic waves disclosed by the invention isused for solving the problem of difficulty in accurately performing non-destructive testing on the furnace body lining in the prior art, so as to provide a sufficient basis for judging the state of the furnace body lining.

The invention discloses a case retrieval method based on a genetic algorithm and a nearest neighbor algorithm. The method comprises the steps that S1, criminal case data is expressed and stored scientifically and effectively in a vector form; S2, a model established based on a GA-KNN method algorithm is used for inference; S3, an operation interface is provided for user access data through a creation-read-update-delete module of mass criminal case data; and S4, a neural network is utilized for modeling, and a judgment result of a judge is predicted. According to the method, an inference system based on evidence and cases is applied to a case trial process, and therefore case trial objectiveness can be effectively ensured; meanwhile, with the assistance of a decision making system, case trial justice can be effectively ensured, case trial efficiency can be improved, and therefore the method has theoretical creation and application creation value.

The invention discloses a method and a system for detecting bonding defects inside a composite insulator. The method comprises the following steps of acquiring a visible light image, a first speckle image and a second speckle image of a detected composite insulator through laser array equipment, thermal excitation light source equipment, and imaging equipment; performing operation processing on the first speckle image and the second speckle image through the data processing equipment to obtain an interference fringe image and a phase image; and performing Gaussian filtering processing, drawingan edge image to integrate with the visible light image to obtain an integrated image, and identifying bonding defects inside the composite insulator. Through the method disclosed by the invention, the rapid, accurate, non-contact and visual detection of the bonding defects inside the composite insulator is realized, the defection effect on the tiny bonding defects inside the composite insulatoris good, an aim of efficiently and accurately detecting the bonding defects inside the composite insulator is realized; and the method is simple in operation, visual in imaging, the influence by the operation subjective factor of a detector is small, and the objectivity and the scientificity of the detection can be effectively guaranteed.

The invention belongs to the technical field of road traffic safety. An all-true scene collision detecting device is used for detecting the vehicle collision, and comprises a base unit, a collision unit, an environment creating unit and a control unit; the base unit is used for providing a space area for the collision detection; the collision unit is arranged at the end part of the base unit, andis used for arranging collision matters and protection equipment; the environment creating unit is arranged at the side part of the base unit; and the control unit is used for controlling actions of all the units and obtaining and recording data information in the collision process. The invention further discloses an application method of the all-true scene collision detecting device. The all-truescene collision detecting device is reasonable in overall structural design, can reduce the pavement structures and line types of highways and the weather environments, can configure corresponding collision matters and roadbeds for vehicle collision and material collision experiments, and presumes the passenger injury condition, the vehicle material strength, the anti-collision facility materialstrength and the foundation strength according to the vehicle and material destruction degree and the observation data.

The invention aims at providing a fine partition method of soil pollutant content spatial distribution. The fine partition method of the soil pollutant content spatial distribution solves the problem that an existing spatial interpolation method cannot achieve fine partition of soil pollutant distribution due to the problem of interpolation transboundary. The fine partition method uses a spatial relation between the soil pollutant content distribution and a pollution source as a reference, extracts a constraint region, builds a boundary constraint space interpolation algorithm based on the constraint region, enables spatial interpolation to be restrained in a reliable space region, and achieves the fine partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution has the advantages of extracting the pollution source influence range serving as a boundary constraint condition, restraining spatial interpolation of unknown sites in the reliable space region, and achieving accuracy and reliability of partition of the soil pollutant content distribution. The fine partition method of the soil pollutant content spatial distribution is suitable for digital map production of the pollutant content distribution of the fields of soil, zoology, hydrology and the like.

The invention discloses a method and device for constructing an input-output table and a storage medium. The method comprises the steps that national economy data are acquired, the national economy data comprise economic data of all production departments, and environmental protection data related to environmental protection are dispersedly recorded in the economic data of all the production departments; according to the economic data of each production department, economic data of the environment protection industry serving as an independent department are determined, wherein the economic data of the environment protection industry comprise input data and output data of the environment protection industry; and a first input-output table is constructed according to the determined economicdata of the environmental protection industry, in which the environmental protection industry is counted as an independent department. Due to the fact that the environment protection industry in the constructed first input-output table is an independent department, the accuracy of results obtained through environment protection accounting research is greatly improved, and the objectivity of the obtained research results is effectively guaranteed.

The invention discloses a multi-borehole information protecting layer mining pressure relief range actual measurement method which includes the steps: 1) drawing a protecting layer mining stereoscopic schematic diagram and drawing theoretical reference boundary lines in the protecting layer mining stereoscopic schematic diagram; 2) designing a special gas extraction lane and a drill site; 3) designing actual measurement boreholes; 4) constructing the actual measurement boreholes; 5) recording borehole information; 6) calibrating an actual measurement pressure relief range. Authenticity and objectivity of the influence range of protecting layer mining for protected layer pressure relief are fundamentally guaranteed, protecting layer mining actual pressure relief range can be acquired, pressure relief blind zones are avoided, and powerful technical support is provided for safe and efficient mining of a protected layer.

The invention provides a gastroesophageal swallowing automatic recognition device and method. The device comprises an electrode catheter, a data recorder and a swallowing detection unit, the electrodecatheter comprises N impedance sensors, wherein N is a positive integer greater than 1; the data recorder comprises a data storage unit, a button unit and a microprocessor, the impedance sensors collect esophagus impedance information, the output end of the impedance sensor is connected with the impedance information input end of the microprocessor, the button unit records symptoms and / or state of an examination receiver, the output end of the button unit is connected with the microprocessor which is bidirectionally connected with the data storage unit and is in communication with the same, and the swallowing detection unit performs swallowing recognition according to data information in the data storage unit. The device is simple in structure and can accurately recognize swallowing, anda basis is provided for ensuring accuracy of subsequent automatic reflux analysis result.

The invention provides a blockchain-based evidence consolidation method, platform and system. The method comprises the steps of receiving an evidence consolidation request from a user side; obtaining to-be-consolidated electronic evidence according to the consolidation request; performing hash operation on the electronic evidence to obtain file hash, and storing the file hash in a block chain; obtaining consolidation time, the consolidation time being the time stored in the block chain and used for representing that the file hash is stored in the block chain; obtaining a national time service number corresponding to the consolidation time, and obtaining a corresponding national time service hash according to the national time service number and the file hash; carrying out Hash operation on the consolidated certificate information including the file Hash and the national time service Hash to obtain consolidated certificate Hash; and generating a consolidation certificate in which the file hash, the consolidation time, the national time service number, the national time service hash and the consolidation hash are recorded. According to the scheme, the use experience of the user on electronic evidence consolidation can be improved.

The invention provides a patent permission price calculating method and system. The system comprises a variable input module, a variable output module, a permission mode selection module and an algorithm module. A patent permission mode is selected, the input variable is calculated through a corresponding algorithm, and then the output variable is obtained. According to the calculating method, the permission period variable change rule is analyzed to predict the annual patent earning change in the patent permission period, the sum of annual earnings in the patent permission period is obtained through certain algorithms according to the discount rate, and then the patent permission price is obtained. The method effectively solves the problem of calculation of annual patent earnings in the permission period, and the patent permission price is accurately worked out through the dismounting adding calculating. The method effectively solves the problem of valuation of a patent in the permission period, and the vacancy in the prior art is filled up.

The invention provides an acidification outburst elimination effect evaluation method. The acidification outburst elimination effect evaluation method comprises the steps that a crustal stress value is measured; soluble minerals in a coal sample are found out; an acidification anti-reflection measure is implemented; the expansion deformation of a coal seam is measured; the average thickness of the soluble minerals of the coal body under the acidification effect is calculated; the acidification anti-reflection measure is judged and the like. The acidification outburst elimination effect evaluation method can be used for accurately estimating whether the coal body subjected to acidification is subjected to outburst elimination or not and determining the acidification pressure relief outburst elimination range. A basis is provided for accurate determination of an acidification outburst prevention range, authenticity and objectivity of outburst elimination of an outburst coal seam by acidification are basically guaranteed, a relatively real outburst-risk-free range can be obtained, and a powerful guarantee is provided for safe mining of a coal mine.

The invention provides a fuzzy measurement method for network equipment information security evaluation, and belongs to the technical field of network space security. The fuzzy measurement method comprises the steps of firstly setting index weights, building a fuzzy judgment matrix for the pairwise index relative importance degree of a sub-index set of a certain index, calculating maximum and minimum possible values and an average value for each element in the fuzzy judgment matrix according to evaluation data of known institutions, representing each element into a triangular fuzzy number by using the three values, then calculating the weight of each de-fuzzy sub-index, performing weight resetting on sub-indexes with the calculated weight being 0, and then performing normalization to acquire a final weight of each sub-index; and then performing cross-testing on network equipment, acquiring a test data result, providing comments by an expert, and performing judgment on the security of the network equipment according to the acquired sub-index weights and the comments. The fuzzy measurement method realizes judgment for the security of the network equipment, and the judgment result is more objective and more accurate.

The invention relates to the technical field of greenhouse gas detection systems, and discloses a greenhouse gas detection system based on a micro-fluidic chip, the greenhouse gas detection system comprises a detection system body, the bottom of the detection system body is fixedly connected with an electric box, the bottom of the electric box is fixedly connected with a mounting seat, the mounting seat comprises a butt joint, a rotating shaft and a damping ring, the bottom of the butt joint is fixedly connected with a rotating shaft, and the inner wall of the rotating shaft is fixedly connected with a damping ring. Through cooperative work of the detection system body, the electric box, the mounting seat, the butt joint, the rotating shaft, a damping ring, a lifting device, a mounting rod, a limiting head and a first electric push rod, the equipment can be better adjusted during use, greenhouse gases at different heights can be better detected during use, and the comprehensiveness of detection can be better guaranteed; and the objectivity of the detection result is not better guaranteed during use.

The invention discloses a nondestructive testing method for a furnace body lining based on impact elastic waves. The nondestructive testing method for the furnace body lining based on the impact elastic waves comprises the following steps: (a) determining a measuring point position and an exciting position on the surface of a furnace body; (b) mounting a sensor at the measuring point position andan excitation device in the exciting position; starting the excitation device to excite and collecting vibration signals through the sensor; (c) analyzing the vibration signals and saving analysis conditions and an analysis result; (d) using the same excitation device, repeating the steps (b) to (c) in the same measuring point position and excitation position in the step (a) after a period of time, and using the same analysis conditions in the step (c) to perform analysis; (e) performing trend analysis on the analysis result obtained at different times to obtain change trends of the thicknessof the furnace body lining so as to judge the safety of the furnace body. The nondestructive testing method for the furnace body lining based on the impact elastic waves disclosed by the invention isused for solving the problem of difficulty in accurately performing non-destructive testing on the furnace body lining in the prior art, so as to provide a sufficient basis for judging the state of the furnace body lining.

The invention proposes an image automatic scoring method and scoring system based on element identification, belonging to the technical field of image quality evaluation. The method includes the following steps: S100: Acquire a picture to be rated; S200: Determine the foreground area image and the background area image of the picture to be rated; S300: Acquire the first depth map information of the foreground area image and the second depth map information of the background area image; S400: Obtain a scoring result of the picture to be scored based on the first depth map information and the second depth map information. The system includes a light field camera shooting component, a user interaction component, a depth information acquisition component, and a picture scoring calculation component. The invention proposes a computer terminal device and a storage medium for realizing the method. The present invention can realize shooting adjustment or picture sharing after automatic quality scoring of pictures taken by a light field camera based on element depth information identification.

The invention discloses a mining pressure relief boundary space-time curve cluster determination method. The method specifically comprises the following steps: calculating a three-dimensional numerical model, deducing a constitutive relation of a block-scattered combination, determining a space-time evolution process of a stress boundary of a mining-induced pressure relief position, and drawing the space-time curve cluster of the pressure relief boundary. According to the invention, the influence of time and space factors on the pressure relief boundary is fully considered, the authenticity and objectivity of the mining pressure relief boundary can be guaranteed, the more accurate mining pressure relief boundary can be obtained, and the method has important significance for determining the outburst elimination range of the protected layer.

The invention provides a credit rating method and device based on a rating model, and the method comprises the steps: determining a rating model when a rating instruction of a to-be-rated customer is received; calculating an initial default probability of the to-be-rated customer by using the rating model; mapping the initial default probability to a preset standard table to obtain an initial rating; when a preset special case adjustment factor exists in the customer information, adjusting the initial rating according to a special case item adjustment rule to obtain a final rating of the to-be-rated customer; when the preset special case adjustment factor does not exist in the customer information, determining the initial rating as a final rating; determining a final default probability of the to-be-rated customer by using a preset standard table; and generating a rating report according to the final rating, the final default probability, the initial rating and the initial default probability. According to the invention, credit rating is carried out on the to-be-rated customer by using the rating model, the operation of customer credit rating is effectively standardized, the credit rating method is unified, the accuracy and objectivity of customer credit rating are ensured, and the efficiency of customer credit rating is improved.

The invention provides a coal and gas outburst risk evaluation method. According to the method, the influence of the limit energy on the elastic energy, the gas expansion energy, the crushing energy and the throwing energy of the coal body is fully considered, whether the coal body subjected to various measures is subjected to outburst elimination or not is accurately estimated, and the pressure relief outburst elimination range after various measures are acted can be accurately determined; and compared with the prior art that whether coal and outburst happen or not is judged simply according to the gas content, the energy influences of various measures on various factors causing the outburst are fully analyzed and finally judged, and a basis is provided for accurate determination of the outburst prevention range of various measures. The authenticity and objectivity of various outburst prevention measures on outburst elimination of the outburst coal seam are basically guaranteed, an accurate outburst-risk-free range can be obtained, and a powerful guarantee is provided for safe mining of a coal mine.

The present invention provides a carbon emission prediction method and device based on multi-dimensional reference quantities and time series, including: calculating based on carbon emission data at each previous time point within a preset time period to obtain a first basic carbon emission prediction value; Set the economic data change trend and the industrial data change trend of the previous time point in the time period to obtain the second economic weight value and the second industrial weight value; for the second economic weight value, the second industrial weight value and the first basic carbon Emission forecast value is calculated to obtain the second basic carbon emission forecast value; based on the calculation of the second economic weight value, the second industrial weight value and the characteristic data of the forecast site, the offset interval of the forecast site is obtained; For multiple future time points, the carbon emission data corresponding to multiple future time points are predicted based on the second basic carbon emission prediction value and the offset interval, and the carbon emission interval data corresponding to each future time point is obtained.

The invention provides an automatic feed state interval correction device and method. The device comprises an electrode catheter, a data recorder and a feed state interval correction unit. The electrode catheter comprises N impedance sensors, wherein N refers to a positive integer larger than 1. The data recorder comprises a data storage unit, a key unit and a microprocessor. The impedance sensorsacquire esophagus impedance information, and an output end of the impedance sensor is connected with an impedance information input end of the microprocessor. The key unit records symptoms and / or states of an examinee, an output end of the key unit is connected to the microprocessor, and the microprocessor is in bidirectional connection and communication with the data storage unit. The feed stateinterval correction unit corrects feed state markers according to data information in the data storage unit. The automatic gastroesophageal swallow recognition device is simple in structure, accuracyin feed state interval correction can be improved, and correctness and objectiveness in later reflux analysis are guaranteed.

The invention discloses a multi-dimensional singing and playing analysis and evaluation method and system in art evaluation, and is applied to the technical field of teaching software. The method comprises the following steps: an examination information input step, a standard music score uploading to an analysis system step, an examination paper issuing step, an examinee audition examination track step, an examinee manual examination starting step, an examination process recording step, an examinee audio data uploading to the system step, an audio data decoding step, an audio data preprocessing step, an audio data multi-dimensional analysis and calculation step, a standard music score and examinee singing and playing audio comparison step, a comprehensive score output step of scores in all directions and evaluation items, and an evaluation result output step. According to the invention, each student can obtain comprehensive, objective, accurate and consistent evaluation results, so that teachers can completely put energy into art education.

The invention discloses an IGBT (Insulated Gate Bipolar Translator) double-pulse test method and system, an IGBT control method and an inverter controller. The IGBT double-pulse test method comprises the following steps: acquiring to-be-verified data from an original SOA curve, wherein the to-be-verified data comprises a to-be-tested current and an original threshold voltage corresponding to the to-be-tested current; based on the to-be-tested current and the original threshold voltage, performing a double-pulse test on the to-be-tested IGBT, and obtaining a test safety voltage corresponding to the to-be-tested current; and constructing a verification SOA curve corresponding to the to-be-tested IGBT based on the to-be-tested current and the test safety voltage. According to the method, it can be guaranteed that construction of the verification SOA curve has enough test data support, objectivity is achieved, the output capacity of the IGBT can be well evaluated based on the verification SOA curve, and the IGBT is controlled to work safely.

The invention discloses an exercise physiology tension measuring device convenient for statistics. The device comprises a bottom box, a sealing plate, supporting legs, reinforcing rib plates, rotatingshafts, rockers, a top box, observation windows, cover plates, handles, pull rods, pull rings, positioning columns, first guide sleeves, fixed vernier sleeves, rectangular frames, connecting strips,fixed pipes, first springs, short rods, first gears, vertical rods, second gears, worm wheels, fixed vertical plates, worms, threaded pipes, screws, first flat plates, second springs, round rods, second flat plates, a second guide sleeve, a guide rod, an oil tank, an oil pump, an oil pipe, a nozzle, an oil filler, an oil pump switch, a scale and an inner rod. The device is reasonable in structure,can provide tension testing for multiple testers at a time, can compress the bottom of the force testing mechanism through the cooperation of a speed reduction driving mechanism, a lifting mechanismand an elastic pressing plate, achieves limiting, keeps the stretching state and facilitates statistics.