59results about How to "Sure objective" patented technology

The invention discloses a nondestructive testing method used for testing the physiological indexes of plant leaves on the basis of invisible-near infrared spectrum, which can carry out the quick and multi-parameter testing on the content of compositions such as chlorophyll, nitrogen, lutein, water and the like simultaneously. The method carries out spectrum collection on calibration samples, subsequently preprocesses the spectrum data, preferably selects the waveband, establishes the calibration model between the spectrum value and the standard value of the content of plant component, and collects the spectrums of the unknown samples; after the spectrum data is pre-processed, the selected waveband data are substituted in the calibration model so as to predict the content of the component to be measured; the technical proposal of the invention adopts full-spectrum information; the measured parameters have strong extensibility and the prediction precision and the model adaptability of the calibration model are improved; the trans-reflective measurement type adopted by the method adopts the spectrum sensitiveness and has stronger adaptability on the leaf type; and the improved wavelet analysis method can simultaneously eliminate the noise of the leaf spectrum data and carries out benchmark line calibration pre-processing on the leaf spectrum and can effectively improve the prediction precision.

The invention relates to a sweeping robot supplementary sweeping method and a chip. The method comprises the steps that entrance reference points of the boundary of each entrance of a swept region and an unswept region are selected preferentially, the best entrance point is determined, one point is selected from the best entrance point according to entrance selection conditions as a sweeping starting point, and region sweeping is performed on the basis of the preset sweeping conditions. According to the supplementary sweeping method, no any marking position point needs to be made, only endpoints of the entrance boundaries of the sweeping region and the unswept region in a raster map are adopted as entrance reference points for performing preferential selection, even if the shape of the unswept region is complex, the sweeping starting point of the unswept region can be more objectively, more flexibly and more accurately determined just by analyzing and judging the boundaries and selecting the best entrance point, and therefore the most suitable unswept region is preferentially swept. Meanwhile, according to the preset sweeping conditions, the region is swept, the problem that omitted sweeping caused by the existing mode that a zigzagged shaped sweeping is performed simply from the marked position point can be avoided, and sweeping comprehensiveness and integrity are ensured.

The embodiment of the invention provides a method and a device for traffic phase adjustment based on a road traffic state. Vehicle passing data at upstream and downstream intersections in a road section are acquired; according to identifiers of N passing vehicles and the time for passing across the upstream and downstream intersections, the parking times of the N passing vehicles are determined; according to the parking times of the N passing vehicles, the passing state in the road section is determined; and when the passing state in the road section is determined to be a congestion state, the traffic phase of the upstream and downstream intersections in the road section is adjusted according to the parking times of the N passing vehicles. As the passing state in the road section is determined according to the vehicle passing data at the upstream and downstream intersections in the road section acquired in real time, on one hand, the test cost is reduced, and on the other hand, the passing state in the road section is determined more comprehensively and objectively. When the traffic state in the road section is poor, the problem existing in the traffic phase of the upstream and downstream intersections in the road section can be timely determined, adjustment can be carried out, and congestion in the road section can be effectively alleviated.

The invention provides a method and a system for determining a sagittal direction medial surface of a craniomaxillofacial soft tissue based on optical imaging. The method comprises: 1) calibrating three-dimensional space; 2) acquiring facial images; 3) obtaining coordinates of mark points on the acquired image; 4) calculating each characteristic point by using the three-dimensional space coordinates of each mark point, and determining a sagittal direction medial surface. The method and the system can determine the sagittal direction medial surface of a facial soft tissue by each mark point ina three-dimensional face, and determination of the axial plane is the basis of facial soft tissue symmetry analysis and clinical diagnosis analysis related to the facial soft tissue, especially when hard tissue cannot be obtained at the same time. Compared with the prior art, the method and the system can conveniently, effectively and objectively determine the position of the sagittal direction medial surface of craniomaxillofacial soft tissue in a three-dimensional space, especially in a case that hard tissue cannot be obtained.

The invention provides a piedmont nappe belt volcanic rock region reverse fault subdivision vertical carrying capability evaluation method. The method comprises steps that a fractured zone structure geologic model, a fractured zone structure layer permeability and effective stress relation model, a fractured zone structure layer geometric relation model, a fractured zone permeability evaluation model, a fractured zone permeability correction factor mathematical model are established; a fault carrying capability evaluation profile is selected in an optimized way; a fault subdivision vertical carrying quantitative evaluation model is established; and a fault carrying quantitative evaluation index threshold value is determined. The reverse fault subdivision vertical carrying capability evaluation method is advantageous in that the three-dimensional quantitative evaluation of the fracture carrying capability of the brittle stratum development region of the volcanic rock is realized, and the fault carrying capability quantitative evaluation method is enriched; the method can be widely used for the reverse fault carrying performance evaluation of the compressional basin piedmont nappe belt volcanic rock region, and therefore an important guiding significance is provided for oil and gas exploration.

The invention discloses a determination method for an optimal segmentation result of a remote sensing image by fusing multiple quantitative evaluation indexes. The method comprises the steps that firstly, the remote sensing image is subjected to image segmentation, and a segmentation result set is obtained; then, a GS value of the segmentation result set is calculated, and a scale interval parameter of a remote sensing image segmentation parameter is determined; an E value of the segmentation result set is calculated by using the scale interval parameter, and a primary optimal segmentation result set is determined according to the E value; then, the primary optimal segmentation result set is subjected to fusion segmentation according to the corresponding segmentation parameter, an overalloptimal segmentation result of the remote sensing image is determined, and an under-segmentation object set, an over-segmentation object set and a reservation segmentation object set are screened out;finally, the three object sets are combined, evaluation is conducted by using an improved GS value, and the global optimal segmentation result is determined. According to the determination method, the uncertainty problem caused by single index evaluation in existing determination of the optimal segmentation result of the remote sensing image can be solved, and the objectivity, practicability andreliability of the segmentation result of the remote sensing image are improved.

The invention provides a fastest route determination method and device. According to the method, multiple alternative routes and departure time of a user are obtained, wherein each alternative route indicates a route from a preset departure position to a preset destination position, and each alternative route comprises at least one road section; according to the departure time, attribute information of the road sections in the alternative routes is obtained, wherein the attribute information comprises weather information; according to the attribute information of the road sections, a fastest route in the multiple alternative routes is determined, and according to the road section attribute information such as weather, factors which are supposed to cause prolonging of travel time on the alternative routes are pre-judged. The fastest route is determined more objectively, and the accuracy of fastest route determination is improved.

The invention provides a method and device for processing user data in a database and relates to the field of data mining. The method for processing user data in the database comprises the following steps: selecting a plurality of reserved characteristics in the user data, wherein the reserved characteristics include forward characteristics and backward characteristics; acquiring the forward data according to the data of the reserved characteristics; standardizing the forward data of the reserved characteristics and acquiring the standardized data; confirming a user ranking parameter on the basis of the standardized data of the reserved characteristics according to the weights of the reserved characteristics; and ranking the users according to the user ranking parameter, thereby acquiring a user ranking table. According to the method, the data of the reserved characteristics of the user can be operated on the basis of the weights corresponding to the reserved characteristics, so as to generate the user ranking parameter and rank according to the magnitude of the user ranking parameter. Such a data processing mode is small in operand and high in efficiency and the users can be more objectively ranked and evaluated according to the user data.

The invention discloses a parallel programming and modular method based distributed hydrologic model calibration method and aims to improve calibration efficiency and simulation precision of a basin hydrologic model. The method includes: 1) on the basis of a parallel programming environment constructed based on MPICH, coupling a source program of the open-source distributed hydrologic model with a multi-objective optimization algorithm; 2) calibrating the hydrologic model aiming at a daily runoff sequence and a peak value sequence respectively, and establishing corresponding model frames; 3) adopting a modular method for combining runoff outputs of the models to form recombined simulation runoff. The parallel programming and modular method based distributed hydrologic model calibration method has advantages that by parallel multi-objective operation, calibration efficiency of the distributed hydrologic model can be effectively improved while calibration time is shortened; the modular method takes full advantages of a peak value model and a daily runoff model, and accordingly simulation precision can be improved remarkably.

The invention discloses a power grid evaluation index weight determining method which is very important to objectively and rationally determine the power grid evaluation index weight under the background of large data. The method provided by the invention comprises the steps that a Spark platform divides all data into a number of sub-data models; the efficiency of data processing is improved by parallel calculation; a data feature extraction method is used to derive valid data information; the acquired valid data information is input into a multivariable L2-Boosting regression model for training and learning, so as to acquire the trained multivariable L2-Boosting regression model; and test data are input into the multivariable L2-Boosting regression model for predicting to determine the power grid evaluation index weight. According to the invention, the L2-Boosting model is combined with a Spark data analysis framework; the power grid evaluation index weight is objectively and accurately determined; and the objectivity of the index weight value can be ensured.

The invention belongs to the technical field of food safety, and discloses a plant-derived food chemical pollutant risk analysis and detection method. The method comprises the steps of acquiring food-related data through a food tracing module; selecting a to-be-detected plant-derived food sample through a sample acquisition module and processing the to-be-detected plant-derived food sample; determining risk factors of the plant-derived food through a risk factor determination module, carrying out risk evaluation and classified statistics, and meanwhile outputting a risk analysis table; carrying out health risk evaluation through the food health risk evaluation module, and finally carrying out health data storage and display. The method is simple, convenient and rapid to operate, accuratein detection result and capable of detecting heavy metal, pesticide and radioactive chemical pollution; risk evaluation and health risk evaluation can be carried out on the basis of detected chemicalpollutants, the risk analysis table is output, the chemical pollution types of different types of food in different production places, different transportation processes and different storage processes are comprehensively and accurately mastered, and food safety control is facilitated.

The invention relates to a core confirming method for the development degree of reservoir cracks. The method comprises the following steps: 1) jointing cores; 2) summarizing and recognizing the characteristics of natural cracks; 3) performing imaging logging calibration; 4) finally confirming the natural cracks; and 5) judging the development degree of the cracks. The invention is specific to the reservoir cracks; the natural cracks are confirmed according to two data of the core and imaging logging, so that the confirmation of the natural cracks is more objective; furthermore, the splicing resetting is performed on the core fragments according to the invention, so that the quantity statistics of the natural cracks of the core can more objectively reflect the quantity of practical reservoir cracks, especially, the reservoir with abnormal development of the cracks and serious core segment; the method has a better effect; besides, the development degree of reservoir cracks confirmed according to the invention can avoid the common industrial misunderstanding that a same crack is mistakenly recorded as multiple cracks under the influence of mutual cutting of the cracks.

The invention discloses a utilization rate determination system and method and a terminal. The terminal comprises a parameter obtaining module used for obtaining operation parameters of detected equipment; a working state determination module used for determining the working state of the detected equipment according to the obtained operation parameters and a working state determination rule, wherein the working state determination rule includes a corresponding relation between a plurality of working states and a range of parameter values of the operating parameters; and a first communication module used for sending the determined working state to a utilization rate determination device, wherein the working state is regarded as a parameter for the utilization rate determination device to determine a utilization rate. The utilization rate determination system and method and the terminal of the invention can reduce the load of the utilization rate determination device, guarantee the real-time performance of utilization rate counting, reduce the hardware and software requirements of the utilization rate determination device and save the cost.

The invention discloses a method for rapidly preparing a gene mutation reference. According to the preparation method disclosed by the invention, a target required low-mutation-ratio reference can beobtained from a high-mutation-ratio reference through diluting by one step without carrying out mutation ratio verification on the reference obtained through diluting; compared with the conventional methods, the condition of firstly diluting a plurality of mutation ratio gradients and then carrying out verification one by one is also not required; and the method has the advantages of rapidness, simplicity, low verification cost and high reproducibility.

The invention provides a data value evaluation system and method, and the system comprises a data obtaining unit which is used for obtaining to-be-evaluated data; a self-value determining unit which is used for determining the self-value of the to-be-evaluated data according to the index value of the to-be-evaluated data under the self-value index of the preset data; a market competition value determination unit which is used for determining the market competition value of the to-be-evaluated data according to the attribute of the data similar to the to-be-evaluated data and the market competition value of the similar data; and a value evaluation unit which is used for evaluating the value of the to-be-evaluated data according to the self value and / or the market competition value of the to-be-evaluated data. According to the data value evaluation system, the influence of human subjective factors on the evaluation process of the data value is small, and the evaluation result of the business data can be obtained objectively and accurately.

The embodiment of the invention provides an information inspection method, computer equipment and a storage medium, and the method comprises the steps: obtaining evaluation data of at least one dimension of put media information from an information putting system in real time, and determining an evaluation result, corresponding to the at least one dimension, of the media information according to the evaluation data; determining a risk type of the media information in combination with an evaluation result corresponding to each dimension; and when the media information is the set risk type, triggering the information delivery system to stop delivering the media information. In this way, the media information possibly containing violation content inside can be efficiently and accurately screened out according to the set dimension, and the auditing efficiency and auditing quality are improved.

The invention provides a primer group, a kit and a method for identifying types of desmodium styracifolium. The primer group consists of a first primer, a second primer, a third primer, a fourth primer, a fifth primer, a sixth primer and a seventh primer, wherein the nucleotide sequences of the first primer, the second primer, the third primer, the fourth primer, the fifth primer, the sixth primer and the seventh primer are respectively shown as SEQ ID NO:1, SEQ ID NO:2, SEQ ID NO:3, SEQ ID NO:4, SEQ ID NO:5, SEQ ID NO:6 and SEQ ID NO:7. The primer group has one or more of the following advantages: the universality is strong, the accuracy is high, the objectivity is strong and the stability is high.

The invention discloses an oil supply control method, device and system of a hoisting mechanism hydraulic system and a crane. The oil supply control method, device and system of the hoisting mechanism hydraulic system and the crane are used for improving the safety of the hoisting and ascending and descending operation of the crane. The method comprises the steps that hoisting suspended load weight of a hydraulic hoisting mechanism is acquired; when the hoisting suspended load weight is larger than a set weight threshold value, the starting and stopping state information of an engine is acquired; flameout duration before the starting of the engine is calculated according to the starting and stopping state information of the engine; the oil supply duration of supplying oil to the hydraulic system is obtained according to the flameout duration and the corresponding relation of the flameout duration and the oil supply duration; a first oil supply control signal is alternately output to a hoisting lifting control valve with the oil supply duration as duration time, and a second oil supply control signal is output to a hoisting descending control valve.

The invention provides a Mini-LED backlight partition control system. The Mini-LED backlight partition control system comprises a video signal input module, a data processing and control module, a panel driving display module, a backlight driving module and a backlight display module. According to the method, a deep learning model among the contrast ratio, the power consumption, the system complexity and the backlight partition number is established, and the optimal backlight partition is determined. According to the system, partition images are processed, and a partition dimming algorithm for backlight brightness matrix compensation is combined, so backlight driving signals of partitions are adjusted, and area backlight brightness control matched with image information is realized. The invention has the beneficial effects that a quantitative model of the backlight partition number, the contrast ratio and the power consumption is established, the optimal partition is determined by comprehensively considering the complexity of a partition implementation scheme, and the dimming method of the backlight fuzzy model is adopted, so the real distribution condition of backlight can be reflected more accurately, the dimming accuracy of the Mini-LED area is greatly improved, and the power consumption and the contrast ratio are optimized.

The invention provides a method and a device for verifying user identity wherein the method comprises: based on transaction data, calculating the risk level of the transaction a user is dealing with; identifying the verification means corresponding to the risk level; and using the verification means to identify the user identity. According to the invention, based on the transaction data, the risk level is calculated, which avoids the influence of human subjective factors so that the determining of the risk level becomes more objective and reasonable and that the verification of user identity becomes more reliable and that the transaction becomes more secure.

The invention relates to an intelligent blood detection system based on cross blood matching. The system comprises a base, wherein an annular rack is arranged on the outer wall of the base; a motor isarranged, the motor is arranged below the base, an output shaft of the motor is connected with a gear, and the gear is matched with the annular rack; a baffle is vertically arranged on the base, a rubber pad is arranged on the base, a limiting groove is formed in the rubber pad, and a resistance wire is arranged in the limiting groove and used for heating a reagent tube arranged in the limiting groove; a timer is also arranged on the inner wall of the baffle and is used for detecting the reaction time in the reagent tube; and a central control unit which is respectively connected with the resistance wire, the timer and the motor, and can adjust the reaction temperature and the rotating speed in the mixing process according to the reaction time, so reaction efficiency is improved, and detection efficiency is further improved.

The invention is applicable to the technical field of image detection, and provides a rice tillering stage recognition method and terminal equipment, and the method comprises the steps: obtaining an image of rice to be recognized, and converting the image of the rice to be recognized into a gray level image of the rice to be recognized; performing crop segmentation on the gray level image of the to-be-identified rice to obtain the coverage of the to-be-identified rice; if the coverage of the to-be-identified rice is greater than or equal to the preset coverage, determining whether the to-be-identified rice enters a tillering stage based on the trained convolutional neural network model and the gray level image of the to-be-identified rice; if the coverage degree of the rice to be identified is smaller than the preset coverage degree, determining that the rice to be identified does not enter the tillering stage, so the rice tillering stage can be intelligently identified, manual participation is not needed, and whether the rice enters the tillering stage or not can be objectively, rapidly and accurately determined.

The invention relates to a method for determining jaw positions through multi-source data fusion and mandible movement track adjustment. The method comprises the following steps: performing multi-source data fusion, and adjusting the mandible movement track to determine the jaw position relationship. The digital determination of the jaw position relationship of the condyle displacement patient isrealized by using a data fusion and mandible motion trail adjustment method, the occlusion reconstruction patient jaw position relationship of the condyle displacement is controllably, directly and objectively determined, and therefore, the seamless connection of the jaw position relationship determination and the digital design of the prosthesis is realized. A digital solution is provided for complex jaw position determination and transfer in clinic.

The invention provides a data quality determination system and method. The system comprises a data acquisition module used for acquiring to-be-determined data; an index value determination module usedfor determining index values of the to-be-determined data under preset quality determination indexes; and a quality determination module used for determining a quality determination result of the to-be-determined data based on the index values under the preset data quality indexes. When the system is used to perform data quality determination, the quality of service data can be determined objectively and accurately; and in the determination process of the quality of the service data, manual participation is not needed, therefore, the possibility that the service data is manually leaked is lowered, and the security of the service data in the assessment process is enhanced.

The invention provides an information publishing method for a social website. The method includes receiving a user's request; and determining a user type; and returning a corresponding information sequencing result according to the user type and the user request, wherein the user type is determined by user historical data and pre-established user vector quantity. The invention further provides an information publishing system for the social website for achieving the method. According to the method and the system, the sequencing problem of various information cannot be performed according to user types in the prior art can be solved.

The invention provides a method for determining an energy efficiency level based on an energy consumption test. The method comprises the steps: testing load factors of a CPU, a memory and a hard diskIO of a tested server through a deployed power consumption test system of the server; calculating loads of the CPU, the memory and the hard disk IO respectively according to the load factors obtainedby testing; respectively carrying out weighted summation on the loads of the CPU, the memory and the hard disk IO by using the configured corresponding weights to obtain the working energy efficiencyof the server; and determining the energy efficiency level of the tested server according to the obtained working energy efficiency of the server and the mapping relationship between the configured working energy efficiency of the server and the energy efficiency level. According to the method, the energy efficiency level of the tested server can be determined more accurately and objectively.

The invention provides an RGB Mini-LED field order backlight control system. The backlight control system comprises a video signal input module, a storage module, a data processing and control module, a panel driving display module, a backlight driving module and a backlight display module. According to the method, a deep learning model between the contrast ratio, the power consumption, the color splitting index and the system complexity and the number of the color RGB Mini-LED lamp bead backlight partitions is established, and the optimal backlight partition is obtained. According to the backlight control system disclosed by the invention, the field sequence partition image is processed, and a backlight control algorithm of adaptive partition primary color adjustment is adopted, so backlight driving signals are dynamically adjusted field by field and partition by partition, and color and brightness control of area backlight matched with field sequence display image information is realized.